To see the other types of publications on this topic, follow the link: Dlib.
Journal articles on the topic 'Dlib'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Dlib.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Solis-Toapanta, Elisa, and Celina Gómez. "Growth and Photosynthetic Capacity of Basil Grown for Indoor Gardening under Constant or Increasing Daily Light Integrals." HortTechnology 29, no. 6 (December 2019): 880–88. http://dx.doi.org/10.21273/horttech04442-19.
Full textAbstract:
In the quest to identify minimum daily light integrals (DLIs) that can sustain indoor gardening, we evaluated DLIs less than the recommended ranges for commercial production of basil (Ocimum basilicum). Experiments were conducted for 8 weeks to evaluate the effect of providing a constant vs. an increasing DLI over time (DLIInc) on growth and photosynthetic capacity of green (‘Genovese Compact’) and purple (‘Red Rubin’) basil grown hydroponically under a constant ambient temperature of 21 °C. Plants were grown under a 14 h·d–1 photoperiod and were subjected to the following DLI treatments: 4 (DLI4), 6 (DLI6), 8 (DLI8), or 10 (DLI10) mol·m–2·d‒1 (80, 119, 159, and 197 µmol·m‒2·s‒1, respectively); DLIInc was used as a fifth treatment and was achieved by transitioning hydroponic systems systematically to treatments with greater DLIs every 2 weeks. In general, regardless of cultivar, leaf area, leaf number, and overall growth [shoot fresh weight (SFW) and shoot dry weight (SDW)] were similar for plants grown under DLIInc to DLI4 and DLI6 during weeks 2, 4, and 6. However, plants grown under DLIInc produced the same leaf area as those grown under DLI10 at week 8. Nonetheless, across weeks, growth was significantly less under DLIInc compared with DLI10, but similar to that produced by DLI8 at week 8. Photosynthetic responses were significant only at week 8, for which leaves of plants grown under DLI8, DLI10, and DLIInc had 15% to 25% greater maximum gross carbon dioxide (CO2) assimilation (Amax) than plants grown under DLI4. The light saturation point of photosynthesis was unaffected by DLI, but showed a general increasing trend with greater DLIs. Overall, our results suggest that providing a constantly high DLI results in greater growth and yield than increasing the DLI over time. In addition, we found that changes in Amax and the light saturation point are not good indicators of the capacity of whole plants to make use of the available light for photosynthesis and growth. Instead, morphological and developmental traits regulated by DLI during the initial stages of production are most likely responsible for the growth responses measured in our study.
2
Sejati, RR Puji Hajar, and Rodhiyah Mardhiyyah. "Deteksi Wajah Berbasis Facial Landmark Menggunakan OpenCV Dan Dlib." Jurnal Teknologi Informasi 5, no. 2 (December 31, 2021): 144–48. http://dx.doi.org/10.36294/jurti.v5i2.2220.
Full textAbstract:
Computer science and information technology have advanced in a variety of sectors that were previously unachievable due to constraints such as hardware. Computer vision can be used to recognize an object using computer science. Objects can be recognized by taking or recording photos or videos and then processing them using specific tools and methodologies. The goal of the facial landmark-based face detection research using OpenCV and Dlib is to perform face detection in people so that it can be used for a variety of purposes in the future. The strategy employed in this study was the usage of facial landmarks using OpenCV and Dlib to improve face detection accuracy. Face detection has been effectively carried out based on facial landmark points, according to the findings of testing the entire system. Face landmark-based face detection is more accurate using the OpenCV Dlib, which can be seen during processing in the OpenCV Dlib, which can precision photos based on facial movements.
3
Lia Farokhah. "Perbandingan Metode Deteksi Wajah Menggunakan OpenCV Haar Cascade, OpenCV Single Shot Multibox Detector (SSD) dan DLib CNN." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 3 (June 29, 2021): 609–14. http://dx.doi.org/10.29207/resti.v5i3.3125.
Full textAbstract:
Comparison of methods in face detection is needed to provide recommendation of best method. This study compared three methods in face detection, namely OpenCV haar cascade, OpenCV Single Shot Multibox Detector (SSD) and Dlib CNN. Face detection is focused on five challenging conditions, namely face detection in head position obstacles, wearing face masks, lighting, background images that have a lot of noise, differences in expression. Data testing is taken randomly on google with reference to one image consisting of more than one detected face with wild condition. The results of the comparative analysis in wild condition show that the OpenCV haar cascade has more weaknesses with a performance percentage of 20% compared OpenCV SSD and Dlib CNN method. Performance results of SSD and Dlib CNN have the same performance in the five conditions tested, which is about 80%.
4
Suwarno, Suwarno, and Kevin Kevin. "Analysis of Face Recognition Algorithm: Dlib and OpenCV." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 4, no. 1 (July 20, 2020): 173–84. http://dx.doi.org/10.31289/jite.v4i1.3865.
Full textAbstract:
In face recognition there are two commonly used open-source libraries namely Dlib and OpenCV. Analysis of facial recognition algorithms is needed as reference for software developers who want to implement facial recognition features into an application program. From Dlib algorithm to be analyzed is CNN and HoG, from OpenCV algorithm is DNN and HAAR Cascades. These four algorithms are analyzed in terms of speed and accuracy. The same image dataset will be used to test, along with some actual images to get a more general analysis of how algorithm will appear in real life scenarios. The programming language used for face recognition algorithms is Python. The image dataset will come from LFW (Labeled Faces in the Wild), and AT&T, both of which are available and ready to be downloaded from the internet. Pictures of people around the UIB (Batam International University) is used for actual images dataset. HoG algorithm is fastest in speed test (0.011 seconds / image), but the accuracy rate is lower (FRR = 27.27%, FAR = 0%). DNN algorithm is the highest in level of accuracy (FRR = 11.69%, FAR = 2.6%) but the lowest speed (0.119 seconds / picture). There is no best algorithm, each algorithm has advantages and disadvantages.Keywords: Python, Face Recognition, Analysis, Speed, Accuracy.
5
Abdul Haris, Muhamad Amin Husni, and Sin Liang Lim. "Neural Network Facial Authentication for Public Electric Vehicle Charging Station." Journal of Engineering Technology and Applied Physics 3, no. 1 (June 15, 2021): 17–21. http://dx.doi.org/10.33093/jetap.2021.3.1.4.
Full textAbstract:
This study is to investigate and compare the facial recognition accuracy performance of Dlib ResNet against a K-Nearest Neighbour (KNN) classifier. Particularly when used against a dataset from an Asian ethnicity as Dlib ResNet was reported to have an accuracy deficiency when it comes to Asian faces. The comparisons are both implemented on the facial vectors extracted using the Histogram of Oriented Gradients (HOG) method and use the same dataset for a fair comparison. Authentication of a user by facial recognition in an electric vehicle (EV) charging station demonstrates a practical use case for such an authentication system.
6
Yang, Jianxing, Jianhua Adu, Hongguang Chen, Jie Zhang, and Jianfeng Tang. "A Facial Expression Recongnition Method Based on Dlib, RI-LBP and ResNet." Journal of Physics: Conference Series 1634 (September 2020): 012080. http://dx.doi.org/10.1088/1742-6596/1634/1/012080.
Full text
7
Chen, Long, Guojiang Xin, Yuling Liu, and Junwei Huang. "Driver Fatigue Detection Based on Facial Key Points and LSTM." Security and Communication Networks 2021 (June 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/5383573.
Full textAbstract:
In recent years, fatigue driving has been a serious threat to the traffic safety, which makes the research of fatigue detection a hotspot field. Research on fatigue recognition has a great significance to improve the traffic safety. However, the existing fatigue detection methods still have room for improvement in detection accuracy and efficiency. In order to detect whether the driver has fatigue driving, this paper proposes a fatigue state recognition algorithm. The method first uses MTCNN (multitask convolutional neural network) to detect human face, and then DLIB (an open-source software library) is used to locate facial key points to extract the fatigue feature vector of each frame. The fatigue feature vectors of multiple frames are spliced into a temporal feature sequence and sent to the LSTM (long short-term memory) network to obtain a final fatigue feature value. Experiments show that compared with other methods, the fatigue state recognition algorithm proposed in this paper has achieved better results in accuracy. The average accuracy of the proposed method in detecting key points of the face is as high as 93%, and the running time is less than half of the ordinary DLIB method.
8
Galinium, Maulahikmah, Timothy Aditya Sutantyo, and Eka Budiarto. "Implementation For Augmentative And Alternative Communication (AAC) Tools For Rett Syndrome Individual In Activities Of Daily Living (ADL)." Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) 2 (December 15, 2019): 368–76. http://dx.doi.org/10.37695/pkmcsr.v2i0.708.
Full textAbstract:
Rett Syndrome occurs between one in 10000 to 15000 girls in Indonesia. In Hasan Sadikin Hospital, Bandung, Indonesia, there is a girl suffering from Rett Syndrome. Doctors in Hasan Sadikin Hospital find a lot of difficulties in communicating with the patient, since Rett Syndrome patients has little-to-no speech capabilities, and their hands often move involuntarily, especially with regards to Activities of Daily Living (ADL). Hence, a method to communicate with Rett Syndrome patient is being proposed using Augmentative and Alternative Communication (AAC) to support communication between the caregiver and the patient. Two of those methods are using gaze-tracking and head-pose. The methods tested consists of head-pose algorithm, gaze-tracking with Dlib, gaze-tracking with Haar Cascades, and EyeTribe. Each method is tested first with normal people before being tested with the patient. EyeTribe, head-pose, and gaze-tracking algorithm using Dlib achieve good results, with the best results being at 50cm distance and with high light intensity, however the Rett Syndrome patient achieves poor results when using the application, although head-pose achieves the best results in terms of determining needed ADL at around 45% accuracy. Hence, the Rett Syndrome patient needs training to use the application properly.
9
Ye, Kai, Jianmin Dong, and Lijun Zhang. "Digital Analysis of Movements on Characters Based on OpenPose and Dlib from Video." Journal of Physics: Conference Series 2218, no. 1 (March 1, 2022): 012021. http://dx.doi.org/10.1088/1742-6596/2218/1/012021.
Full textAbstract:
Abstract In order to avoid the disadvantages of complex operation and expensive equipment for the extraction method of motion capture systems and other equipment , a method which can extract key points of characters movements was proposed based on video of Tibetan drama with OpenPose and Dlib. And, the movement trajectory and movement fluctuation amplitude which were obtained by digital analysis from characters’ movement were used as indicators to provide a quantitative plan for movement essentials of Tibetan drama’s performing arts. The digital analysis was implemented by tracking key points’ two-dimensional coordinate data with the form of line chart and reflecting movement fluctuation amplitude with absolute difference of the same key point’s two-dimensional coordinate data belonged to two frame of video. Experiments showed that this method was suitable for video and was correct and effective in the image coordinate system, which provided a reliable foundation for the digital analysis.
10
Zhegallo, A. V. "Tracking moving objects on video in psychological studies." Experimental Psychology (Russia) 12, no. 4 (2019): 5–11. http://dx.doi.org/10.17759/exppsy.2019120401.
Full textAbstract:
The article discusses the possibilities of using OpenCV and dlib libraries to track the position of specified objects on the video image and to track a set of landmark points of the human face. It is shown that these problems can be effectively solved with the help of compact programs in Python. The Python language is recommended to the attention of research psychologists as an instrument for analyzing video images and constructing complex experiments.
11
Nigam, Harshit. "Review of Facial Recognition Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1740–43. http://dx.doi.org/10.22214/ijraset.2022.40077.
Full textAbstract:
Abstract: Facial Recognition, the biggest breakthrough in Biometric identification and security since fingerprints, uses an individual’s facial features to identify and recognize them. A technology that seems too farfetched taken straight from a science fiction novel is now available in smartphones in the palm of our hands. Facial Recognition has gained traction as the primary method of identification whether its mobile phones, smart security systems, ID verification or something as simple as login in a website. Recent strides in facial recognition technologies have made it possible to design, build and implement a facial recognition system ourself. Using Computer Vision and machine learning libraries like Facial Recognition and Dlib, we can create a robust system that can detect faces and then match and identify it with a database of pre-loaded facial data to successfully recognize them. This study conducted a literature review of these aforementioned technologies and various other advancements in the field of computer vision facial recognition by other scholars in their research papers. This paper analyzes domains to understand the working of these machine learning models and their different implementations in facial recognition systems. The research conducted by us during this review will be paramount in creating a proof-of-concept prototype facial recognition system. Keywords: DLib, Facial _Recognition, Machine Learning (ML), Deep Learning (DL), CNN, KNN, Face Detection, HOG, Support Vector Machine (SVM), Face Recognition.
12
Naqvi, Rizwan Ali, Muhammad Arsalan, Abdul Rehman, Ateeq Ur Rehman, Woong-Kee Loh, and Anand Paul. "Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications." Remote Sensing 12, no. 3 (February 10, 2020): 587. http://dx.doi.org/10.3390/rs12030587.
Full textAbstract:
Aggressive driving emotions is indeed one of the major causes for traffic accidents throughout the world. Real-time classification in time series data of abnormal and normal driving is a keystone to avoiding road accidents. Existing work on driving behaviors in time series data have some limitations and discomforts for the users that need to be addressed. We proposed a multimodal based method to remotely detect driver aggressiveness in order to deal these issues. The proposed method is based on change in gaze and facial emotions of drivers while driving using near-infrared (NIR) camera sensors and an illuminator installed in vehicle. Driver’s aggressive and normal time series data are collected while playing car racing and truck driving computer games, respectively, while using driving game simulator. Dlib program is used to obtain driver’s image data to extract face, left and right eye images for finding change in gaze based on convolutional neural network (CNN). Similarly, facial emotions that are based on CNN are also obtained through lips, left and right eye images extracted from Dlib program. Finally, the score level fusion is applied to scores that were obtained from change in gaze and facial emotions to classify aggressive and normal driving. The proposed method accuracy is measured through experiments while using a self-constructed large-scale testing database that shows the classification accuracy of the driver’s change in gaze and facial emotions for aggressive and normal driving is high, and the performance is superior to that of previous methods.
13
Sodagra, Hinal. "A Survey on Covid Safety System." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 589–93. http://dx.doi.org/10.22214/ijraset.2021.38850.
Full textAbstract:
Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to it, the Arduino Uno is utilized as a microcontroller, which detects the distance and the outcome isthe pump starts running out the hand sanitizer. Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Arduino, Sensor, Sanitizer, Infrared sensor
14
Лазор, Милица. "МАПИРАЊЕ ТЕКСТУРЕ ЛИЦА ГЕНЕРИСАНЕ ПАМЕТНИМ ТЕЛЕФОНОМ НА ГЕНЕРИЧКИ МОДЕЛ ЛИЦА." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 36, no. 05 (May 10, 2021): 1002–5. http://dx.doi.org/10.24867/12sa02lazor.
Full textAbstract:
Представљено је једноставно и универзално решење, које задовољава потребе корисника а ниво квалитета одговара уређају на ком се приказује, тј. паметном телефону. Основна идеја је могућност брзог креирања персонализованог анимираног аватара који би се користио на друштвеним мрежама, виртуелним конференцијама и слично. Користе се већ готови, усредњени модели главе, са добром топологијом, као и постављеним скелетом. Персонализација модела врши се помоћу текстуре, те она мора бити довољно уверљива. Текстура се добија употребом камере на мобилном телефону. Мапирање слике на модел врши се препознавањем значајних тачака лица помоћу Dlib библиотеке. Кључни алгоритам у овом раду је тзв. Thin Plate Spline алгоритам.
15
Ortí, Guillermo, Carlos Palacio, Irene García-Cadenas, Isabel Sánchez-Ortega, María-José Jimenez, Carmen Azqueta, Guillermo Villacampa, et al. "A High Dose of Naïve CD8+ T-Cells Increases the Incidence of Graft-Versus-Host Disease (GvHD) after Donor Lymphocyte Infusions (DLIs) from HLA Identical Sibling Donors." Blood 134, Supplement_1 (November 13, 2019): 3292. http://dx.doi.org/10.1182/blood-2019-124358.
Full textAbstract:
Introduction DLIs represent a major therapeutic approach for relapse and mixed chimerism (MC) after allogeneic hematopoietic cell transplant (AlloHCT). DLI studies have identified several variables with impact on response and GvHD. Despite some studies having explored the role of T-cells and other cell subsets, such as mononuclear cells (MNCs), comprehensive data regarding the cellular composition of DLI and its role in GvHD remains incomplete, as the development of GvHD post DLI is often unpredictable. Herein we analyzed the cellular composition of DLI from fully human leukocyte antigen (HLA) identical sibling (HLA Id Sib) donors and its impact on the development of GvHD in patients who underwent AlloHCT for hematological malignancy, and its impact on the development of GvHD. Methods Inclusion criteria were as follows: 1) Patients ≥ 18 years-old, 2) AlloHCT, 3) HLA Id Sib donor; 4) treatment with DLI; and 5) signed informed consent of patient and donor. Exclusion criteria were: 1) unrelated or mismatched related donors, 2) HCT2 prior to DLI, or 3) GvHD at DLI. For the purpose of avoiding bias, only the cell composition of the first DLI (DLI1) was analyzed. The following cell subsets of the DLI were studied: CD3+, CD4+, CD8+, CD16+CD56+CD3+ (NKT-cell), CD3+CD45RA+CCR7+ (TN), CD3+CD45RA+CCR7+CD31+ (TRTE), CD3+CD45RA+CD95+CD27+ (TSCM), CD3+CD45RA-CCR7+ (TCM), CD3+CD45RA-CCR7- (TEM), CD3+CD45RA+CCR7- (TTE), CD3+CD4+CD25brightCD127dim (TREG), CD3+CD4+CD25brightCD45RA+CD127dim (naïve TREG). The TN, TCM, TEM and TEM compartment was analyzed for both CD4+ and CD8+. We also analyzed the MNCs, CD19+ (B-cell), CD27+CD19+ (mature B-cell), CD16+CD56+CD27- (natural killer (NK+) cell) and CD16+CD56+CD27+ (CD27+NK+cell). Results Fifty-six DLIs were infused in 36 patients; the median number of DLI was 1 per patient (range, 1-3). Diagnoses were as follows: 13 AML/MDS, 6 HL, 5 MPN, 4 NHL, 4 CLL, 3 MM and 1 B-ALL. For the study, a landmark analysis was performed from the DLI date. The median follow up from DLI was 282 days (range, 9-5,560 days). Overall response rate in relapsed patients was 29% (9 of 31 patients; 6 CR and 3 PR, most responses being observed after DLI1. Further, five patients had DLI for MC and full donor chimerism was achieved in all patients. Thirteen patients (36%) developed GvHD post DLI. Two patients had GvHD before DLI, but there was no case of GvHD at DLI. The median time interval form DLI to GvHD was 76 days (range, 7-261). As per clinical presentation, 10 patients (27%) had acute GvHD, whereas eight patients (22%) had chronic GvHD. The 6-month and 1-year cumulative incidence (CI) of GvHD was 33% and 46%, respectively. When the risk of GvHD was analyzed according to DLI cell subsets, we observed that a DLI1 containing >3x106 CD8+TN correlated with an increased incidence of GvHD (Figure 1a). Also, a DLI1 with >0.8x108 MNCs/Kg (Figure 1b), >2.6x106 mature B-cell/Kg, or >0.35x106 CD27+NK+cells/Kg were linked to the development of GvHD (Table 1). Noteworthy, CD3+, TN (both CD4+ and CD8+ combined) or CD4+TN had no impact on the development of GvHD; and a high proportion of TREG was not protective for the development of GvHD (Table 2). Finally, there was no statistically significant association between any clinical variable and GvHD. Conclusion In conclusion, in this cohort of AlloHCT patients from HLA Id Sib donors, a DLI1 containing a high proportion of CD8+TN, but not CD4+TN, increased the probability of developing GvHD. Further, a DLI1 containing a high dose of MNCs, CD27+NK+cells and mature B-cell also associated with GvHD. These data provide novel insight for the understanding of GvHD post DLI. A DLI1 containing a lower dose of CD8+TN could reduce the risk of GvHD, but this asset warrants further validation in larger cohorts, and within a controlled randomized trial setting. Disclosures Bosch: F. Hoffmann-La Roche Ltd/Genentech, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; Acerta: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.
16
Bennet, John. "Crete (Prehistoric)." Archaeological Reports 59 (January 2013): 56–67. http://dx.doi.org/10.1017/s0570608413000094.
Full textAbstract:
Publications of fieldwork continue to appear slowly, but the latest volume of ADelt for Crete, covering the years 2001–2004, appeared in print in summer 2012 (ADelt 56–59 [2001–2004] B5). Inevitably, given the years covered, some of the activity summarized in this volume has already been noted in AG and brief notices of some appears in the decadal summary of the activities of all the prehistoric and Classical ephorias (www.yppo.gr/0/anaskafes; AR 58 [2011–2012] 58). Emphasis here is on those activities not already noted in AG or those where significant new information appears in the new volume of ADelt. The second meeting on Archaeological Work on Crete (AWiC2), alluded to last year (AR 58 [2011–2012] 58), has been published and can be read online through the University of Crete's Library (http://elocus.lib.uoc.gr/dlib/d/0/5/metadata-dlib-1368695830-557833-31681.tkl#). A third meeting is scheduled for December 2013 and will hopefully be made accessible with equally commendable promptness. The proceedings of the Tenth International Cretological Congress held in Chania in 2006 (see AR 53 [2006–2007] 96) are still to appear in print, although e-offprints of individual contributions continue to circulate. New material in this year's entry is therefore drawn primarily from ADelt 56–59 (2001–2004) B5 and AWiC2.The past year has seen a number of significant publications on prehistoric Crete, including the proceedings of several conferences. The publication by the BSA of Intermezzo: Intermediacy and Regeneration in Middle Minoan III Palatial Crete (Macdonald and Knappett [2013]), containing papers presented at a workshop held in 2008, complements volumes noted last year (AR 58 [2011–2012] 58) on Late Minoan IB ceramics (Brogan and Hallager [2011]) and on the Prepalatial and Protopalatial periods (Early Minoan to Middle Minoan II) (Schoep et al. [2011]).
17
Silahtaroğlu, Murat, and Serkan Dereli. "An image processing-based system proposal for real-time detection of drowsiness from a vehicle driver's eye movements." Academic Perspective Procedia 4, no. 1 (October 16, 2021): 74–80. http://dx.doi.org/10.33793/acperpro.04.01.15.
Full textAbstract:
Drowsiness is one of the underlying causes of driving accidents leading to serious injuries and deaths annually. According to the experts has mentioned that almost 30% of all traffic accidents have been caused by drowsiness. In avoiding these traffic accidents, a proper system is required to prevent the driver from falling asleep. This study proposes a real-time image processing-based system for recognizing the drowsiness face expression of the vehicle driver. The method of this study, detecting the exact position facial landmarks and both left and right eyes using dlib and eye aspect ratio algorithm. This system, after detecting drowsiness eye, give audible alert the vehicle driver to stay awake throughout the driving journey.
18
Heist, Rebecca Suk, Leena Gandhi, Geoffrey Shapiro, Naiyer A. Rizvi, Howard A. Burris, Johanna C. Bendell, Jose Baselga, et al. "Combination of a MEK inhibitor, pimasertib (MSC1936369B), and a PI3K/mTOR inhibitor, SAR245409, in patients with advanced solid tumors: Results of a phase Ib dose-escalation trial." Journal of Clinical Oncology 31, no. 15_suppl (May 20, 2013): 2530. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.2530.
Full textAbstract:
2530 Background: PI3K/mTOR and MAPK signaling pathways are often deregulated in tumors. Simultaneous inhibition of these pathways with the MEK1/2 inhibitor, pimasertib, plus the dual PI3K/mTOR inhibitor, SAR245409, (ClinicalTrials.gov NCT01390818) was investigated. Methods: This was a phase Ib, modified 3+3, dose-escalation trial in patients (pts) with advanced solid tumors. Pts received pimasertib and SAR245409 at the following dose levels (DLs): DL1, 15/30; DL2a, 30/30; DL2b, 15/50; DL3, 30/50; DL4a, 60/50; DL4b, 30/70; DL5, 60/70; DL6a, 90/70; DL6b 60/90 and DL7, 90/90 mg (once-daily, qd). After the qd maximum tolerated dose (MTD) was established, twice-daily (bid) dosing was tested: DL1a, 60/30; DL1b, 45/50 and DL2 60/50 mg bid. A recommended phase II dose (RP2D) was determined. Enrollment continued at the RP2D in four expansion cohorts (18 pts each): dual KRAS/PIK3CA mutated (mt) colorectal cancer (CRC), triple-negative breast cancer, KRAS mt non-small cell lung cancer (NSCLC) and BRAFmt melanoma. Results: 53 pts were treated qd and 7 pts bid. The most common tumors were CRC (n=16), NSCLC (n=8), ovarian and pancreatic (n=7, each). At DL6b 2/3 pts had dose-limiting toxicities (DLTs; both grade [Gr] 3 nausea/vomiting). DL6a was confirmed as the MTD for the qd schedule. At bid DL1a 2/4 pts (both Gr 3 skin rash) and at DL1b 2/3 pts (Gr 3 skin rash and Gr 3 asthenia) had DLTs. DL5 was the RP2D based on tolerability after prolonged exposure. The most common adverse events in qd schedule were: rash (62%, 13% Gr 3), diarrhea (56%, 4% Gr 3), fatigue (51%, 2% Gr 3), nausea (49%, 2% Gr 3), vomiting (45%, 2% Gr 3), peripheral edema and pyrexia (34%, each) and visual impairment with underlying serous retinal detachment (21%). Preliminary pharmacokinetic results suggest no drug-drug interaction. There were 4 partial responses: KRAS mt CRC (n=1) and low-grade ovarian cancer (n=3, 1 KRAS mt/PIK3CA mt and 2 wild-type). Enrollment in expansion cohorts at DL5 is ongoing. Conclusions: Continuousqd dosing of pimasertib and SAR245409 is tolerated and has shown signs of activity. Phase II trials are being planned. Clinical trial information: NCT01390818.
19
Al-Nuaimi, arqam, and Ghassan Mohmmed. "A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function." JOURNAL OF EDUCATION AND SCIENCE 30, no. 5 (December 1, 2021): 114–24. http://dx.doi.org/10.33899/edusj.2021.130962.1181.
Full text
20
Hegde, Arpita Prakash. "Smart Security System Using Image Recognition." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 2021): 1936–39. http://dx.doi.org/10.22214/ijraset.2021.36758.
Full textAbstract:
The Smart Security System using Image Recognition uses Deep Learning and Computer Vision approach.In real time it would help the home based security system to track the persons coming into the house and unlocking the door, hereby the system would be accessed by using the image recognition service in which the images are trained in different classes labeled with the names of the family members and not only them they can train the images of their relatives which provides the access to unlock their door. By using this model one can secure the home premises from the invaders and also capture the suspected people who are not authorized to move inside the house. By using “dlib one short learning”, all the faces for permission would be trained and the model is given to the security system where it can secure the premises with good accuracy through trained images.
21
Isrofi, Syukron, and Johny Hizkia Siringo Ringo. "Sistem Aplikasi Absensi Berbasis Android Menggunakan Otentikasi Wajah dan Lokasi (Studi Kasus Di CV. Atmosfer IT Consultan)." Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) 5, no. 1 (September 30, 2021): 11–20. http://dx.doi.org/10.47970/siskom-kb.v5i1.220.
Full textAbstract:
CV. Atmosfer IT Consultan merupakan perusahaan jasa pembuatan aplikasi, yang mana mempunyai karyawan lapangan, yang mengharuskan berkunjung kelokasi klien sehingga perlu adanya sistem aplikasi absensi karyawan yang dapat digunakan untuk memantau dan mengelola kehadiran karyawan yang ditugaskan dilapangan, selama ini untuk memantau kehadiran karyawan yang bertugas dilapangan mengandalkan direct message atau panggilan langsung melalui ponsel masing – masing karyawan. Sistem aplikasi absensi berbasis android yang akan dikembangkan ini menggunakan otentikasi wajah dan lokasi menggunakan bantuan library OpenCV dan Dlib Library untuk otentikasi wajah dan Google Maps API untuk deteksi lokasi, serta metodologi yang digunakan dalam pengembangan sistem ini yaitu menggunakan metode Scrum. Pengembangan aplikasi ini diharapkan dapat memberikan solusi untuk perusahaan CV. Atmosfer IT Consultan khusunya dan perusahaan lain pada umumnya untuk memantau kehadiran karyawannya yang bertugas dilapangan ataupun untuk perusahaan yang menugaskan karyawannya bekerja dari rumah karena adanya pemberlakuan PSBB di beberapa wilayah di Indonesia khususnya di DKI Jakarta.
22
Costa, Lucas José da, Thiago Luz de Sousa, Francisco Assis da Silva, Leandro Luiz de Almeida, Danillo Roberto Pereira, Almir Olivette Artero, and Marco Antonio Piteri. "ANÁLISE DE MÉTODOS DE DETECÇÃO E RECONHECIMENTO DE FACES UTILIZANDO VISÃO COMPUTACIONAL E ALGORITMOS DE APRENDIZADO DE MÁQUINA." COLLOQUIUM EXACTARUM 13, no. 2 (September 22, 2021): 01–11. http://dx.doi.org/10.5747/ce.2021.v13.n2.e354.
Full textAbstract:
The advancement in technology in recent decades has provided many facilities for humanity in various applications, and facial recognition technology is one of them. There are several problemsto be solved to perform face recognition from digital images, such as varying ambient lighting, changing the face physical characteristics and resolution of the images used. This work aimed to perform a comparative analysis between some of thedetection and facial recognition methods, as well as their execution time. We use the Eigenface, Fisherface and LBPH facial recognition algorithms in conjunction with the Haar Cascade facedetection algorithm, all from the OpenCV library. We also explored the use of CNN neural network for facial recognition in conjunction with the HOG facial detection algorithm, these from the Dlib library. The work aimed, besides analyzing the algorithms in relation to hit rates, factors such as reliability and execution time were also considered
23
Phulari, Shivanand. "Driver Drowsiness Detection using Machine Learning with Visual Behaviour." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1800–1805. http://dx.doi.org/10.22214/ijraset.2021.35348.
Full textAbstract:
A person while driving a vehicle - if does not have proper sleep or rest, is more inclined to fall asleep which may cause a traffic accident. This is why a system is required which will detect the drowsiness of the driver. Recently, in research and development, machine learning methods have been used to predict a driver's conditions. Those conditions can be used as information that will improve road safety. A driver's condition can be estimated by basic characteristics age, gender and driving experience. Also, driver's driving behaviours, facial expressions, bio-signals can prove helpful in the estimation. Machine Learning has brought progression in video processing which enables images to be analysed with accuracy. In this paper, we proposed a method for detecting drowsiness by using convolution neural network model over position of eyes and extracting detailed features of the mouth using OpenCV and Dlib to count the yawning.
24
Truong, Xuan Tung. "DEEP LEARNING TECHNIQUE - BASED DRONE DETECTION AND TRACKING." Journal of Military Science and Technology, no. 73 (June 15, 2021): 10–19. http://dx.doi.org/10.54939/1859-1043.j.mst.73.2021.10-19.
Full textAbstract:
The usage of small drones/UAVs is becoming increasingly important in recent years. Consequently, there is a rising potential of small drones being misused for illegal activities such as terrorism, smuggling of drugs, etc. posing high-security risks. Hence, tracking and surveillance of drones are essential to prevent security breaches. This paper resolves the problem of detecting small drones in surveillance videos using deep learning algorithms. Single Shot Detector (SSD) object detection algorithm and MobileNet-v2 architecture as the backbone were used for our experiments. The pre-trained model was re-trained on custom drone synthetic dataset by using transfer learning’s fine-tune technique. The results of detecting drone in our experiments were around 90.8%. The combination of drone detection, Dlib correlation tracking algorithm and centroid tracking algorithm effectively detects and tracks the small drone in various complex environments as well as is able to handle multiple target appearances.
25
Dao Thanh, Toan, and Vo Thien Linh. "A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit." Transport and Communications Science Journal 70, no. 3 (November 15, 2019): 184–92. http://dx.doi.org/10.25073/tcsj.70.3.26.
Full textAbstract:
In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”
26
Dao Thanh, Toan, and Vo Thien Linh. "A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit." Transport and Communication Science Journal 70, no. 3 (November 15, 2019): 184–92. http://dx.doi.org/10.25073/tcsj.70.3.4.
Full textAbstract:
In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”
27
Evans, Jennifer M., Veronica A. Vallejo, Randolph M. Beaudry, and Ryan M. Warner. "Daily Light Integral Influences Steviol Glycoside Biosynthesis and Relative Abundance of Specific Glycosides in Stevia." HortScience 50, no. 10 (October 2015): 1479–85. http://dx.doi.org/10.21273/hortsci.50.10.1479.
Full textAbstract:
The biosynthesis of steviol glycosides is affected by both genetic and environmental factors. To evaluate the influence of total daily solar radiation or daily light integral (DLI) under long-day conditions on steviol glycoside concentration, we grew Stevia rebaudiana under ambient irradiance or varying levels of shading at different times of the year in both greenhouse and field environments, resulting in DLIs ranging from 3.55 to 20.31 mol·m−2·d−1 in the greenhouse and 10.32 to 39.7 mol·m−2·d−1 in the field. Total steviol glycoside concentration of selected leaves from greenhouse-grown plants increased as DLI increased up to ca. 10 mol·m−2·d−1, remaining constant with further increases in DLI, and was similar across the range of DLIs evaluated in the field. DLI influenced both the concentration and the relative proportions of specific steviol glycosides. Rebaudioside A concentration increased as DLI increased from 3.55 to 8.53 mol·m−2·d−1, remaining similar with further increases in DLI. Rebaudioside D and stevioside concentration of selected leaves from field-grown plants decreased by 22% and 13%, respectively, as DLI increased from 10.32 to 39.7 mol·m−2·d−1, while rebaudioside A and M concentrations remained similar across this DLI range. Collectively, these results indicate that the greatest influence of DLI on steviol glycoside concentration occurs under relatively low DLIs (<10 mol·m−2·d−1). However, higher DLIs can significantly affect the synthesis of minor glycosides of increasing commercial importance including rebaudioside D.
28
Abbi, Kamal K. S., W. Chritopher Ehmann, Giampaolo Talamo, Kenneth Lucas, Michelle Carraher, Witold Rybka, and David F. Claxton. "G-CSF Mobilized Versus Conventional Donor Lymphocytes in the Treatment of Hematological Malignancies." Blood 114, no. 22 (November 20, 2009): 4301. http://dx.doi.org/10.1182/blood.v114.22.4301.4301.
Full textAbstract:
Abstract Abstract 4301 Introduction Donor lymphocyte infusions (DLI) can reverse relapse of hematologic malignancy following allogeneic hematopoietic stem cell transplant (HSCT) in some cases. G-CSF is used to mobilize progenitor cells for transplantation and at our center excess cells have been cryopreserved and subsequently used as DLIs. Little is known regarding the effectiveness of G-CSF mobilized cells as DLIs in the treatment of hematological malignancies. We conducted a retrospective study comparing the overall survival in patients treated with G-CSF mobilized vs. conventional DLI for hematological malignancies. Patients and Methods After IRB approval, we conducted a retrospective chart review of 67 patients who received DLI treatment of management of hematological malignancies. Results Mean age was 48.5 (range 2-78). 41 (62%) patients had AML and 26 (38%) had other hematological malignancies. Patients received 1-4 DLIs each; median was 1 DLI per patient. Median no. of CD3+ cells infused was 107/kg body weight (range 1- 265). 17 (25%) patients received a total of 32 G-CSF mobilized DLIs. 50 (75%) patients received 77 conventional DLI. 20 (29%) patients were treated with immunosuppressive agents at the time of DLI and 49 (73%) received chemotherapy in the 90 days prior to DLI. DLIs were administered for relapse or residual disease post-transplant in 62 patients. 5 patients received 7 DLIs because of poor engraftment. In total 38(56%) patients have died. Death was malignant disease related in 31/38(82%) patients, and caused by graft versus host disease (GVHD) in 5/38 (13%). GVHD deaths were 2/17 in the G-CSF and 3/50 in the conventional group (NS). Median survival after DLI was 213 days for the 67 patients and was similar for GCSF and conventional groups. 19/67 patients survived more than 1 year from the initial DLI. Death and GVHD were not predicted by diagnosis, donor type (related of unrelated), use of immunosuppressives at the time and DLI or number of infused donor CD3 cells. Time to first evidence of GVHD was similar between the two groups (p=0.35). Kaplan-Meier estimates of survival suggested that G-CSF mobilized DLI, while not statistically different from conventional DLI, showed a trend towards a survival advantage (p=0.08). This analysis is shown in the figure below. Conclusion In this series of poor prognosis hematological malignancies, DLI was clearly lifesaving in a number of patients. G-CSF mobilized DLI appears to be at least as effective as conventional DLI for the treatment of patients relapsing after allogeneic blood stem cell transplantation. Disclosures: No relevant conflicts of interest to declare.
29
Jurevičius, Romualdas, Nikolaj Goranin, Justinas Janulevičius, Justas Nugaras, Ivan Suzdalev, and Aleksandr Lapusinskij. "METHOD FOR REAL TIME FACE RECOGNITION APPLICATION IN UNMANNED AERIAL VEHICLES." Aviation 23, no. 2 (December 18, 2019): 65–70. http://dx.doi.org/10.3846/aviation.2019.10681.
Full textAbstract:
Newly evolving threats to public safety and security, related to attacks in public spaces, are catching the attention of both law enforcement and the general public. Such threats range from the emotional misbehaviour of sports fans in sports venues to well-planned terrorist attacks. Moreover, tools are needed to assist in the search for wanted persons. Static solutions, such as closed circuit television (CCTV), exist, but there is a need for a highly-portable, on-demand solution. Unmanned aerial vehicles (UAVs) have evolved drastically over the past decade. Developments are observed not only with regards to flight mechanisms and extended flight times but also in the imaging and image stabilization capabilities. Although different methods for facial recognition have existed for some time, dealing with imaging from a moving source to detect the faces in the crowd and compare them to an existing face database is a scientific problem that requires a complex solution. This paper deals with real-time face recognition in the crowd using unmanned aerial vehicles. Face recognition was performed using OpenCV and Dlib libraries.
30
Vishesh, Pothuraju, Raghavendra S, SantoshKumar Jankatti, and Rekha V. "Eye blink detection using CNN to detect drowsiness level in drivers for road safety." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (April 1, 2021): 222. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp222-231.
Full textAbstract:
<span><span>Blinking is a regular bodily function and it is the semiautomatic fast closing of the eyelid. A specific blink is examined by dynamic folding of the eyelid. It is a vital function of the eye which helps in spread of tears across and eliminates irritants from the shallow of cornea. In this research work we made use of convolution neural network, the deep learning concepts and image processing to detect drowsiness level in drivers. To train the blink detection model the mobilenet V2 is used as base. The loss function used for training was RMSprop and the optimizer is binary cross entropy. The dlib facial landmark was exploited to perceive and pre-process the detected faces. The dataset used for the training model is selected from the “Xiaoyang Tan” of nanjing university of aeronautics and astronautics. Based on the experimental outcome the projected method achieves an accuracy of 97%. The prototype developed serves as a base for further development of this process to achieve better road safety</span>.</span>
31
Dou, Haijie, Genhua Niu, Mengmeng Gu, and Joseph G. Masabni. "Responses of Sweet Basil to Different Daily Light Integrals in Photosynthesis, Morphology, Yield, and Nutritional Quality." HortScience 53, no. 4 (April 2018): 496–503. http://dx.doi.org/10.21273/hortsci12785-17.
Full textAbstract:
Consumption of basil (Ocimum basilicum) has been increasing worldwide in recent years because of its unique aromatic flavor and relatively high concentration of phenolics. To achieve a stable and reliable supply of basil, more growers are turning to indoor controlled-environment production with artificial lighting due to its high environmental controllability and sustainability. However, electricity cost for lighting is a major limiting factor to the commercial application of indoor vertical farming, and little information is available on the minimum light requirement to produce uniform and high-quality sweet basil. To determine the optimal daily light integral (DLI) for sweet basil production in indoor vertical farming, this study investigated the effects of five DLIs, namely, 9.3, 11.5, 12.9, 16.5, and 17.8 mol·m−2·d−1 on basil growth and quality. ‘Improved Genovese Compact’ sweet basil was treated with five DLIs provided by white fluorescent lamps (FLs) for 21 d after germination, and gas exchange rate, growth, yield, and nutritional quality of basil plants were measured to evaluate the effects of the different DLIs on basil growth and quality. Results indicated that basil plants grown under higher DLIs of 12.9, 16.5, or 17.8 mol·m−2·d−1 had higher net photosynthesis, transpiration, and stomatal conductance (gS), compared with those under lower DLIs of 9.3 and 11.5 mol·m−2·d−1. High DLIs resulted in lower chlorophyll (Chl) a+b concentration per leaf fresh weight (FW), higher Chl a/b ratios, and larger and thicker leaves of basil plants. The shoot FW under DLIs of 12.9, 16.5, and 17.8 mol·m−2·d−1 was 54.2%, 78.6%, and 77.9%, respectively, higher than that at a DLI of 9.3 mol·m−2·d−1. In addition, higher DLIs led to higher soluble sugar percent and dry matter percent than lower DLIs. The amounts of total anthocyanin, phenolics, and flavonoids per plant of sweet basil were also positively correlated to DLIs, and antioxidant capacity at a DLI of 17.8 mol·m−2·d−1 was 73% higher than that at a DLI of 9.3 mol·m−2·d−1. Combining the results of growth, yield, and nutritional quality of sweet basil, we suggest a DLI of 12.9 mol·m−2·d−1 for sweet basil commercial production in indoor vertical farming to minimize the energy cost while maintaining a high yield and nutritional quality.
32
Ulla Delfana Rosiani, Rosa Andrie Asmara, and Nadhifatul Laeily. "PENERAPAN FACIAL LANDMARK POINT UNTUK KLASIFIKASI JENIS KELAMIN BERDASARKAN CITRA WAJAH." Jurnal Informatika Polinema 6, no. 1 (January 6, 2020): 55–60. http://dx.doi.org/10.33795/jip.v6i1.328.
Full textAbstract:
Teknologi biometrik yang biasa digunakan adalah face recognition yang menganalisa wajah manusia sehingga menghasilkan suatu informasi salah satunya adalah jenis kelamin. Komputer perlu diberikan pembelajaran untukmembedakan jenis kelamin berdasarkan komponen wajah. Pembelajaran mengenai deteksi jenis kelamin memiliki beberapa kesulitan karena kompleksitas dari kondisi wajah, seperti posisi gambar, pencahayaan dan ekspresi.Beberapa penelitian, menyimpulkan bahwa fitur geometri merupakan fitur yang cocok untuk mengatasi kompleksitas tersebut. Pada penelitian ini, fitur yang digunakan adalah jarak antara kedua mata, lebar nasal root, lebar hidung, tinggi bibir atas dan tinggi bibir bawah. Pengukuran nilai-nilai pada fitur tersebut dapat dilakukan dengan bantuan landmark point seperti dlib regression tree. Setelah itu nilai-nilai yang didapatkan digunakan untuk perhitungan klasifikasi menggunakan metode Support Vector Machine dengan kernel Gaussian RBF dan normalisasi Sigmoid. Menggunakan dataset sejumlah 60 data jenis A dan B untuk training dan 20 untuk testing, hasil akurasi yang didapatkan adalah 70%, precision 80%, dan recall 67%. Sedangkan dengan dataset sejumlah 30 data jenis A untuk training, hasil akurasi yang didapatkan adalah 40%, precision 30%, dan recall 37.5%. Sedangankan dengan dataset sejumlah 30 data jenis B untuk training, hasil akurasi yang didapatkan adalah 65%, precision 70%, dan recall 64%.
33
Vukovic, Igor, Petar Cisar, Kristijan Kuk, Milos Bandjur, and Brankica Popovic. "Influence of Image Enhancement Techniques on Effectiveness of Unconstrained Face Detection and Identification." Elektronika ir Elektrotechnika 27, no. 5 (October 27, 2021): 49–58. http://dx.doi.org/10.5755/j02.eie.29081.
Full textAbstract:
In a criminal investigation, along with processing forensic evidence, different investigative techniques are used to identify the perpetrator of the crime. It includes collecting and analyzing unconstrained face images, mostly with low resolution and various qualities, making identification difficult. Since police organizations have limited resources, in this paper, we propose a novel method that utilizes off-the-shelf solutions (Dlib library Histogram of Oriented Gradients-HOG face detectors and the ResNet faces feature vector extractor) to provide practical assistance in unconstrained face identification. Our experiment aimed to establish which one (if any) of the basic image enhancement techniques should be applied to increase the effectiveness. Results obtained from three publicly available databases and one created for this research (simulating police investigators’ database) showed that resizing the image (especially with a resolution lower than 150 pixels) should always precede enhancement to improve face detection accuracy. The best results in determining whether they are the same or different persons in images were obtained by applying sharpening with a high-pass filter, whereas normalization gives the highest classification scores when a single weight value is applied to data from all four databases.
34
Sugeng, Sugeng, and Agus Mulyana. "Sistem Absensi Menggunakan Pengenalan Wajah (Face Recognition) Berbasis Web LAN." Jurnal Sisfokom (Sistem Informasi dan Komputer) 11, no. 1 (April 18, 2022): 127–35. http://dx.doi.org/10.32736/sisfokom.v11i1.1371.
Full textAbstract:
Absensi kehadiran dosen dan karyawan merupakan faktor penting bagi sebuah perguruan tinggi atau instansi lainnya untuk mencapai tujuan, hal ini berkaitan pada kedisiplinan dan berdampak pada kinerja dari masing-masing dosen dan karyawan. Oleh karena itu, perlu adanya pendataan khusus untuk mencatat Absensi kehadiran dan ketidakhadiran agar aktifitas kerja dapat tercatat secara realtime dan baik. Dosen dan karyawan diharuskan untuk melakukan absen setiap hari kerja. Masalah yang kini terjadi yaitu sulitnya melakukan Absensi karena tidak praktis dan harus mengantri yang dapat menyebabkan keterlambatan dalam melakukan absen sehingga dianggap telat dan juga dikarenakan pandemi Covid-19 perlu sebuah sistem Absensi yang cepat, mudah dan dapat diakses secara real-time guna melakukan absen tetapi tidak perlu kontak fisik. Maka dari itu penulis berinisiatif dan mempunyai solusi yaitu dengan membangun sebuah sistem Absensi berbasis WEB LAN dengan menggunakan Pengenalan wajah (Face Recognition). Untuk merancang sistem ini digunakan sebuah pustaka face_recognitong dari dlib yang memiliki akurasi pengenalan wajah 98.3%. Sistem absensi dibuat berbasis Web LAN sehingga hanya dapat diakses dari area sekitar tempat bekerja saja. Sistem diuji dengan 20 wajah orang yang didaftarkan kedalam system absensi, kemudian hasilnya seluruh data dapat dikenali dengan baik oleh system saat pengujian absensi dilakukan
35
Anderlini, Paolo, Sandra Acholonu, Grace-Julia Okoroji, Sergio A. Giralt, Roy Jones, Chitra M. Hosing, Muzaffar H. Qazilbash, et al. "Donor Leukocyte Infusions (DLIs) for Recurrent Hodgkin Lymphoma (HL) Following Allogeneic Stem Cell Transplantation (allo-SCT): Ten-Year Experience at the M.D. Anderson Cancer Center." Blood 118, no. 21 (November 18, 2011): 4460. http://dx.doi.org/10.1182/blood.v118.21.4460.4460.
Full textAbstract:
Abstract Abstract 4460 Background: The role of DLIs in the management of recurrent HL following allo-SCT is not well established. Response rates in the 30–50% range have been reported (as high as 79% in a recent report), but their durability and impact on patient survival are not always clear (Peggs et al, BJH 2008; 143:468 and JCO 2011; 29: 971). We wish to update our initial report on this issue (Anderlini et al, BMT 2004; 34: 511). For more details on response criteria definitions, please refer to our original report. Patients and Methods: Between 1999 and 2010, 27 consecutive patients with relapsed/refractory HL following unmanipulated allo-SCT received a total of 55 DLIs as immunotherapy for treatment of progressive disease (PD). Their median age was 30 years (19–60; M/F 19/8), and 21/27 (78%) had a history of prior autologous SCT. Seventeen patients received more than one DLI (range 2–5). Seventeen had a matched sibling/parent donor and ten a matched unrelated donor. In all but two cases the conditioning regimen included fludarabine plus cyclophosphamide or melphalan plus/minus antithymocyte globulin. The median time to PD after allo-SCT was 5 months (range 1–21). In ten patients (37%) prior salvage chemotherapy was administered prior to at least one of their DLIs. The pre-DLI chimerism status was 2/27 mixed and 25/27 full donor. Results: Ten of 27 (37%) patients had a complete/partial response (CR/PR) following at least one of their DLIs. Six of 27 patients (22%) achieved CR/CRU (complete response, unknown), and four of 27(15%) achieved a PR. The median response duration was 7.5 months (range 0.5–20). Of all these ten responders, 100% developed graft-vs-host disease (GVHD) and half of them (50%) had received concomitant chemotherapy. Of the ten patients who received only one DLI, two (20%) had chemotherapy prior to their DLIs. One (10%) had a CRU and the other had stable disease (SD) (10%). Of the remaining eight that did not have chemo prior to DLI, 2 (20%) had CRU, 3 (30%) had PR, 2 (20%) had SD and 1 (10%) had PD. The median CD3+ cell dose administered was 49.8 × 10E6/ kg (range 0.05–285). GVHD developed (or flared) following the DLI in 45/55 cases (82%). After the DLI mixed chimerism (n=2) was converted to complete (or near-complete) donor chimerism. At the latest follow-up (March 2011), five patients (18%) are alive (two in CR). For these five survivors, the follow-up after the 1st DLI is 42 months (range 4–63). Four of them (80%) did not receive chemotherapy with their DLI(s), while one did. Twenty-two patients expired. Their median survival after the 1st DLI was 14 months (range 4–64). Causes of death included PD (n=15; 68%) and non-relapse mortality (n=7; 32%). Conclusions: Despite the limitations related to the small sample size, patient heterogeneity and concomitant chemotherapy administration, these data suggest that (a) DLIs for immunotherapy of recurrent HL following allo-SCT have significant (albeit not always durable) activity, and a subset of patients become long-term survivors (b) administration of multiple DLIs is feasible in selected patients (c) responses are associated with the development of GVHD (d) the role (if any) of concomitant chemotherapy is unclear and, lastly (e) PD remains the main cause of mortality following DLIs. The role of DLIs should be reassessed in the contest of new and effective agents now available in the salvage setting (SGN-35, panobinostat, etc). Disclosures: Off Label Use: Fludarabine, cyclophosphamide and melphalan as part of conditioning regimen for allogeneic stem cell transplantation.
36
Niu, Genhua, Royal D. Heins, Arthur C. Cameron, and William H. Carlson. "Day and Night Temperatures, Daily Light Integral, and CO2 Enrichment Affect Growth and Flower Development of Pansy (Viola ×wittrockiana)." Journal of the American Society for Horticultural Science 125, no. 4 (July 2000): 436–41. http://dx.doi.org/10.21273/jashs.125.4.436.
Full textAbstract:
Pansy [Viola ×wittrockiana Gams. `Delta Yellow Blotch' (Yellow) and `Delta Primrose Blotch' (Primrose)] plants were grown in a greenhouse under two CO2 concentrations [ambient (≈400 μmol·mol-1) and enriched (≈600 μmol·mol-1)], three daily light integrals (DLI; 4.1, 10.6, and 15.6 mol·m-2·d-1), and nine combinations of day and night temperatures created by moving plants every 12 h among three temperatures (15, 20, and 25 °C). Time to flower decreased and rate of flower development increased as plant average daily temperature (ADT) increased at all DLIs for Yellow or at high and medium DLIs for Primrose. Increasing the DLI from 4.1 to 10.6 mol·m-2·d-1 also decreased time to flower by 4 and 12 days for Yellow and Primrose, respectively. Both cultivars' flower size and Yellow's dry weight [(DW); shoot, flower bud, and total] decreased linearly as plant ADT increased at high and medium DLIs, regardless of how temperature was delivered during day and night. DW in Yellow increased 50% to 100% when DLI increased from 4.1 to 10.6 mol·m-2·d-1 under both CO2 concentrations. Flower size in Yellow and Primrose increased 25% under both CO2 conditions as DLI increased from 4.1 to 10.6 mol·m-2·d-1, but there was no increase between 10.6 and 15.6 mol·m-2·d-1, regardless of CO2 concentration. Plant height and flower peduncle length in Yellow increased linearly as the difference between day and night temperatures (DIF) increased; the increase was larger under lower than higher DLIs. The ratio of leaf length to width (LL/LW) and petiole length in Yellow increased as DIF increased at medium and low DLIs. Carbon dioxide enrichment increased flower size by 4% to 10% and DW by 10% to 30% except for that of the shoot at medium DLI, but did not affect flower developmental rate or morphology. DW of vegetative and reproductive parts of the plant was correlated closely with photothermal ratio, a parameter that describes the combined effect of temperature and light.
37
You, Feng, Yunbo Gong, Haiqing Tu, Jianzhong Liang, and Haiwei Wang. "A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy." Journal of Advanced Transportation 2020 (June 15, 2020): 1–17. http://dx.doi.org/10.1155/2020/8851485.
Full textAbstract:
Research studies on machine vision-based driver fatigue detection algorithm have improved traffic safety significantly. Generally, many algorithms asses the driving state according to limited video frames, thus resulting in some inaccuracy. We propose a real-time detection algorithm involved in information entropy. Particularly, this algorithm relies on the analysis of sufficient consecutive video frames. First, we introduce an improved YOLOv3-tiny convolutional neural network to capture the facial regions under complex driving conditions, eliminating the inaccuracy and affections caused by artificial feature extraction. Second, we construct a geometric area called Face Feature Triangle (FFT) based on the application of the Dlib toolkit as well as the landmarks and the coordinates of the facial regions; then we create a Face Feature Vector (FFV), which contains all the information of the area and centroid of each FFT. We use FFV as an indicator to determine whether the driver is in fatigue state. Finally, we design a sliding window to get the facial information entropy. Comparative experiments show that our algorithm performs better than the current ones on both accuracy and real-time performance. In simulated driving applications, the proposed algorithm detects the fatigue state at a speed of over 20 fps with an accuracy of 94.32%.
38
Kathi, Mohan Goud, and Jakeer Hussain Shaik. "Estimating the Smile by Evaluating the Spread of Lips." Revue d'Intelligence Artificielle 35, no. 2 (April 30, 2021): 153–58. http://dx.doi.org/10.18280/ria.350207.
Full textAbstract:
Smile is one of the important emotions that is essential in computer vision tasks. The greatly influenced part due to it is the lips. By encountering the changes in lips of smile images with respect to no smile, a smile detecting model can design for the computer vision tasks. In this paper, the approach is to evaluate the spread of lips. The lips movement distance is evaluated with respect to the eyes. 68 landmark points of dlib are used for this purpose. The left and right corners of lips are evaluated with the left and right eyes respectively using the count of landmark points (l and r). The secondary parameters - average, Maximum, and maxavgsum of l and r are used for evaluating the lip expansion variation. For each value of these parameters that can attain from l and r, the count of no smile images below it and count of smile images above it is considered and calculated the attainable efficiency. The value of secondary parameter having the maximum efficiency is defined as the threshold. The maximum efficiency that is attained due to average, Maximum and maxavgsum are 80.06, 67.3 and 78.54 respectively at the thresholds 2, 3 and 4.5 respectively.
39
Currey, Christopher J., and Roberto G. Lopez. "Biomass Accumulation and Allocation, Photosynthesis, and Carbohydrate Status of New Guinea Impatiens, Geranium, and Petunia Cuttings Are Affected by Photosynthetic Daily Light Integral during Root Development." Journal of the American Society for Horticultural Science 140, no. 6 (November 2015): 542–49. http://dx.doi.org/10.21273/jashs.140.6.542.
Full textAbstract:
During the propagation of herbaceous stem-tip cuttings, the photosynthetic daily light integral (DLI) inside greenhouses can be low (≈1–4 mol·m−2·d−1) during the winter and early spring when propagation typically occurs. The mechanisms by which cuttings adapt biomass allocation patterns, gas exchange, and starch accumulation in response to the photosynthetic DLI are not clearly understood. Our objectives were to quantify the impact of DLI on growth, photosynthesis, and carbohydrate concentration during the root development phase of cutting propagation. Petunia (Petunia ×hybrida ‘Suncatcher Midnight Blue’), geranium (Pelargonium ×hortorum ‘Fantasia Dark Red’), and new guinea impatiens (Impatiens hawkeri ‘Celebration Pink’) cuttings were propagated in a glass-glazed greenhouse with 23 °C air and substrate temperature set points. After callusing (≈5 mol·m−2·d−1 for 7 days), cuttings of each species were placed under either no shade or one of the two different fixed-woven shade cloths providing ≈38% or 86% shade with 16 hours of supplemental light for 14 days, resulting in DLIs of 13.0‒14.2, 5.5‒6.0, and 2.0‒2.4 mol·m−2·d−1, respectively. Leaf, stem, and root biomass accumulation increased linearly with DLI by up to 122% (geranium), 118% (petunia), and 211% (new guinea impatiens), as DLI increased by ≈11‒12 mol·m−2·d−1, while relative biomass allocation into roots increased under increasing DLI. Compared with cuttings rooted under low DLIs (2.0‒2.4 mol·m−2·d−1), cuttings of all three species generally had greater maximum gross photosynthesis under high DLIs (13.0‒14.2 mol·m−2·d−1) starting 5 or 8 days after transfer. Starch concentration increased with DLI by up to 946% (impatiens) during propagation. Taken together, the increased growth of cuttings appears to be a result of increased carbohydrate availability from elevated photosynthesis and/or photosynthetic capacity.
40
Jahnke, Simona, Hannes Schmid, Kathy-Ann Secker, Silke Duerr-Stoerzer, Hildegard Keppeler, Rebecca Baur, Michael Schumm, et al. "Invariant Natural Killer T Cells from Donor Lymphocyte Infusions (DLI-iNKTs) Contribute to Anti-Tumor Immunity after Allogeneic Hematopoietic Cell Transplantation." Blood 132, Supplement 1 (November 29, 2018): 3340. http://dx.doi.org/10.1182/blood-2018-99-111745.
Full textAbstract:
Abstract Allogeneic hematopoietic cell transplantation (HCT) is a curative treatment option for hematologic malignancies but relapse remains the most common cause of death. Infusion of donor lymphocytes (DLIs) can induce remission and prolong survival by exerting potent graft-versus-leukemia (GVL) effects. However, sufficient tumor control cannot be established in all patients. We showed previously that invariant natural killer T (iNKT) cells promote anti-tumor immunity in murine models of allogeneic HCT without exacerbating graft-versus-host disease (GVHD). We therefore studied iNKT cells in DLIs and investigated how culture-expanded iNKT cells from such DLIs (DLI-iNKTs) could lyse leukemia cells. We analyzed 63 cryopreserved DLI samples by flow cytometry. iNKT cells were identified using the PBS57-loaded CD1d tetramer. Under steady state conditions, iNKT cells represent 0.04% (range, 0.01-0.6) of live donor lymphocytes and need to undergo ex vivo expansion for further experiments and clinical application. We established a two-week protocol resulting in a 300-fold expansion of functional DLI-iNKTs with a purity of 94%. Interestingly, we observed a preferential expansion of CD4+ DLI-iNKTs. This subset turned out to be critical for tolerance induction and prevention of GVHD after allogeneic HCT. For degranulation and leukemia cell lysis assays, culture-expanded DLI-iNKTs were co-cultured with leukemia cells. CD107a as a marker of degranulation and iNKT-cell activity was upregulated on DLI-iNKTs upon engagement with leukemia cells that were subsequently lysed in a dose-dependent manner. We also observed an increased release of cytokines like IFN-γ (85 vs. 7 pg/ml, p=0.04). Moreover, the cytotoxic effects of culture-expanded DLI-iNKTs were CD1d-dependent: blocking the interaction between the MHC-I-like molecule CD1d and the T-cell receptor of DLI-iNKTs abrogated iNKT-cell degranulation and efficient leukemia cell lysis. Our results suggest that iNKT cells from DLIs are involved in anti-tumor immunity after allogeneic HCT and therefore may reduce the risk of relapse and improve progression-free and overall survival. Prior expansion of iNKT cells could promote beneficial effects on tumor control, immune tolerance and overall survival. Disclosures Handgretinger: Miltenyi Biotec: Patents & Royalties: Co-patent holder of TcR alpha/beta depletion technologies, Research Funding. Bethge:Miltenyi Biotec GmbH: Consultancy, Honoraria, Research Funding; Neovii GmbH: Honoraria, Research Funding.
41
Kohler, Annika E., and Roberto G. Lopez. "Daily Light Integral Influences Rooting of Herbaceous Stem-tip Culinary Herb Cuttings." HortScience 56, no. 4 (April 2021): 431–38. http://dx.doi.org/10.21273/hortsci15482-20.
Full textAbstract:
Domestic production of culinary herbs continues to increase in the United States. Culinary herbs are primarily propagated by seed; however, some herbs have poor germination rates and slow growth. Thus, there are advantages of propagating herbs by vegetative stem-tip cuttings as they lead to true-to-type plants and a shortened production time. Previous research of ornamental young plants and finished culinary herbs have shown a reduction in rooting time and increases in plant quality with increases in the photosynthetic daily light integral (DLI). To our knowledge, little to no research has addressed how the DLI influences culinary herb liner quality. Therefore, the objectives of this study were to quantify morphological traits of five economically important culinary herbs when grown under DLIs ranging from 2.8 to 16.4 mol·m−2·d−1. Stem-tip cuttings of Greek oregano (Origanum vulgare var. hirtum), rosemary ‘Arp’ (Rosmarinus officinalis), sage ‘Extrakta’ (Salvia officinalis), spearmint ‘Spanish’ (Mentha spicata), and thyme ‘German Winter’ (Thymus vulgaris) were excised from stock plants and rooted under no shade or aluminum shading of 36%, 56%, or 76% to create a range of DLI treatments. After 9 days (spearmint) or 16 days (all other genera) of DLI treatments, the root, shoot, and total dry mass of all culinary herb liners generally increased by 105% to 449%, 52% to 142%, and 82% to 170%, respectively, as the DLI increased from 2.8 to 16.4 mol·m−2·d−1 or genus-specific DLI optimums. Stem length of oregano, spearmint, and thyme decreased by 37%, 28%, and 27%, respectively, as the DLI increased from 2.8 to 16.4 mol·m−2·d−1. However, stem length of rosemary and sage were unaffected by the DLI. The quality index of all genera was greatest at DLIs from 10.4 to 16.4 mol·m−2·d−1. Furthermore, all culinary herbs grown under a DLI of ≤6 mol·m−2·d−1 had low root and shoot dry mass accumulation; and oregano, spearmint, and thyme were generally taller. Therefore, DLIs between 10 to 12 mol·m−2·d−1 should be maintained during culinary herb propagation, because a DLI ≥16 mol·m−2·d−1 may be deleterious and energy inefficient if supplemental lighting use is increased.
42
Bohacek, Jan, Jan Kominek, Alexander Vakhrushev, Ebrahim Karimi-Sibaki, and Taewoo Lee. "Sequential Inverse Heat Conduction Problem in OpenFOAM." OpenFOAM® Journal 1 (October 21, 2021): 27–46. http://dx.doi.org/10.51560/ofj.v1.33.
Full textAbstract:
The solution of the inverse heat conduction problem (IHCP) is commonly found with the sequential algorithm known as the function specification method with explicit updating formulas and sensitivity coefficients of heat flux. This paper presents a different approach namely a direct mathematical optimization of minimizing the least squares norm between experimental data and simulation. A CFD open-source code OpenFOAM is used together with NLOPT and DLIB optimization libraries. To guarantee credibility of the simulation tool developed herein, real experimental data is used from spray cooling of a fast-moving hot steel plate. As the IHCP is inherently an ill-posed problem, the proposed sequential algorithm is stabilized using future time stepping and thereof the optimal number is explained. An assumption about the profile of thermal boundary condition during future steps must be made. It is shown that assuming a linear change of the heat transfer coefficient during each sequence of future time steps yields more accurate results than setting a constant value. For the problem size considered with less than 10k cells, the preconditioned conjugate gradient (FDIC) linear solver converges faster than the multigrid solver (GAMG). However, the latter performs better as the accuracy is concerned. Concerning the best choice of minimizer, the BOBYQA algorithm (quadratic approximation) is found superior to other methods. The proposed IHCP solver is compared with the well-established one.
43
Anderlini, Paolo, Sandra A. Acholonu, Grace-Julia Okoroji, Rima Saliba, Sergio A. Giralt, Naoto Ueno, Michele L. Donato, Borje S. Andersson, and Richard E. Champlin. "Immunotherapy with Donor Leukocyte Infusions (DLIS) in Relapsed Hodgkin’s Disease (HD) Following Allogeneic Stem Cell Transplantation (ALLO-SCT): CD3+ Cell Dose, GVHD and Disease Response." Blood 104, no. 11 (November 16, 2004): 1654. http://dx.doi.org/10.1182/blood.v104.11.1654.1654.
Full textAbstract:
Abstract Background: There is paucity of data on DLIs for the management of recurrent HD following allo-SCT, and on whether CD3+ cell dose is relevant to response (and the development of GVHD) as is the case in chronic myeloid leukemia. Patients: Nine patients with advanced HD who had undergone allo-SCT received DLIs as immunotherapy for treatment of progressive disease (PD). A total of fifteen DLIs were performed, with four patients receiving more than one DLI. Their median age was 30 years (18–42), and 7/9 had failed a prior autologous SCT. In four patients prior chemotherapy was administered.. Seven had a matched sibling donor and two a matched unrelated donor, and in all but one case the conditioning regimen included fludarabine plus cyclophosphamide or melphalan (plus/minus antithymocyte globulin). The pre-DLI chimerism status was 2/9 mixed and 7/9 full donor. Results: The CD3+ cell dose administered was 77.5 x 10E6/kg (5–285). GVHD developed following the DLI in all but one patient and after 9/15 DLIs (60%). The response rate (complete/partial response) was 4/9 (44%). Three of these four responders developed GVHD and 3/4 had received chemotherapy. After the DLI mixed chimerism (n=2) was converted to complete (or near-complete) donor chimerism. The median response duration was 7 months (range 4-9+). No correlation (or threshold) was observed between CD3+ cell dose infused and disease response. The correlation between CD3+ cell dose and GVHD could not be evaluated statistically as all but one patient developed GVHD. At the latest follow-up three patients are alive (one in ongoing complete remission) and six have expired (PD n=3, non-relapse mortality n=3). Conclusions: These data suggest that DLIs for immunotherapy of recurrent HD following allo-SCT have significant activity, although they frequently lead to GVHD (and, if not already present, full donor chimerism). The small sample size does not allow any firm conclusion as to whether chemotherapy administration increases the chance of response. The CD3 cell dose infused does not seem to correlate with disease response.
44
Owen, W. Garrett, Qingwu Meng, and Roberto G. Lopez. "Promotion of Flowering from Far-red Radiation Depends on the Photosynthetic Daily Light Integral." HortScience 53, no. 4 (April 2018): 465–71. http://dx.doi.org/10.21273/hortsci12544-17.
Full textAbstract:
Under natural short days, growers can use photoperiodic lighting to promote flowering of long-day plants and inhibit flowering of short-day plants. Unlike traditional lamps used for photoperiodic lighting, low-intensity light-emitting diode (LED) lamps allow for a wide array of adjustable spectral distributions relevant to regulation of flowering, including red (R) and white (W) radiation with or without far-red (FR) radiation. Our objective was to quantify how day-extension (DE) photoperiodic lighting from two commercially available low-intensity LED lamps emitting R + W or R + W + FR radiation interacted with daily light integral (DLI) to influence stem elongation and flowering of several ornamental species. Long-day plants [petunia (Petunia ×hybrida Vilm.-Andr. ‘Dreams Midnight’) and snapdragon (Antirrhinum majus L. ‘Oh Snap Pink’)], short-day plants [african marigold (Tagetes erecta L. ‘Moonsong Deep Orange’) and potted sunflower (Helianthus annuus L. ‘Pacino Gold’)], and day-neutral plants [pansy (Viola ×wittrockiana Gams. ‘Matrix Yellow’) and zinnia (Zinnia elegans Jacq. ‘Magellan Cherry’)] were grown at 20/18 °C day/night air temperatures and under low (6–9 mol·m−2·d−1) or high (16–19 mol·m−2·d−1) seasonal photosynthetic DLIs from ambient solar radiation combined with supplemental high-pressure sodium lighting and DE LED lighting. Photoperiods consisted of a truncated 9-hour day (0800–1700 hr) with additional 1-hour (1700–1800 hr, 10 hours total), 4-hour (1700–2100 hr, 13 hours total), or 7-hour (1700–2400 hr, 16 hours total) R + W or R + W + FR LED lighting at 2 μmol·m−2·s−1. Days to visible bud, plant height at first open flower, and time to first open flower (TTF) of each species were influenced by DLI, lamp type, and photoperiod though to different magnitudes. For example, plant height of african marigold and potted sunflower at first open flower was greatest under R + W + FR lamps, high DLIs, and 16-hour photoperiods. Petunia grown under R + W lamps, high DLI, and 10- and 13-hour photoperiods were the most compact. For all species, TTF was generally reduced under high DLIs. For example, regardless of the lamp type, flowering of african marigold occurred fastest under a high DLI and 10-hour photoperiod. Flowering of petunia and snapdragon occurred fastest under a high DLI, R + W + FR lamps, and a 16-hour photoperiod. However, only under high DLIs, R + W or R + W + FR lamps were equally effective at promoting flowering when used to provide DE lighting. Our data suggest that under low DLIs, flowering of long-day plants (petunia and snapdragon) occurs more rapidly under lamps providing R + W + FR, whereas under high DLIs, flowering is promoted similarly under either R + W or R + W + FR lamps.
45
Schmid, Christoph, Myriam Labopin, Hendrik Veelken, Nicolaas P. M. Schaap, Michael Schleuning, Michael Stadler, Juergen Finke, et al. "Efficacy, Safety and Long Term Results of Prophylactic and Preemptive Donor Lymphocyte Infusion after Allogeneic Stem Cell Transplantation for Acute Leukemia: A Registry-Based Evaluation on 343 Patients By the Acute Leukemia Working Party of EBMT." Blood 126, no. 23 (December 3, 2015): 863. http://dx.doi.org/10.1182/blood.v126.23.863.863.
Full textAbstract:
Background: Relapse is the most frequent cause of failure after alloSCT for acute leukemia (AL). Unlike in CML, infusion of donor lymphocytes (DLI) is of limited efficacy in overt hematological relapse. Hence, it may be preferable to give DLI in complete hematological remission (CHR) after alloSCT, to exploit the allogeneic graft-versus-leukemia (GvL) effect either as maintenance in high risk patients (prophylactic DLI, proDLI), or as early intervention to prevent hematological recurrence in case of decreasing donor chimerism or minimal residual disease (preemptive DLI, preDLI). However, no systematic analysis of this strategy is available so far, neither concerning the optimal way of application, nor with respect to safety and clinical efficacy. Here, the Acute Leukemia Working Party of the EBMT presents results from a registry-based survey on 343 patients with AML (n=266) or ALL (n=77), who received DLI in CHR after alloSCT. Patients: Median age was 48y, 64% of patients had received alloSCT from a matched sibling, 36% from an 8/8 matched unrelated donor. Disease status at time of alloSCT was CR1/CR2/advanced in 68%/14%/17% of cases, respectively. Patients had received standard/reduced intensity conditioning in 53%/47% of cases. Before alloSCT, 55% had received in vivo T-cell depletion (TCD), 16% ex vivo TCD, 10% in vivo plus ex vivo, and 19% no TCD. Reasons for preDLI were persisting mixed or decreasing donor cells chimerism (n=167, 49%) and persisting or recurrent minimal residual disease (MRD; n=32, 9%). ProDLI without any sign of leukemia was given to 144 patients (42%) with high risk disease Results: Median follow up from DLI1 was 6.5 years (range, 1.1-14.5). Median interval from alloSCT to first DLI (DLI1) was 180 days (range, 15-1178). Patients received a median of 2 infusions with the median CD3+ cell dose at DLI1 being 1x106/kg (range, 0.1-163). Reasons to discontinue DLI were: number of planned infusions reached (56%), GvHD (17%), disease progression (13%), and documented improvement of donor chimerism (6%). At 5y from DLI1, cumulative incidence of leukemia relapse was 43% and 28% in patients receiving preDLI for MRD and mixed chimerism, and 28% among recipients of proDLI given for maintenance in high risk disease. The corresponding 5y OS rates were 55%, 66% and 64%, 5y-LFS rates were 52%, 57% and 58%. Efficacy of preDLI could be directly demonstrated by decreasing MRD in 71% (15/21) and by improvement of donor chimerism in 68% (110/163) of informative patients. Furthermore, hematologic improvement was observed in 13 patients following proDLI. Cumulative incidences of acute GvHD grade II-IV and chronic GvHD after DLI were 13% and 32%, respectively. A multivariate model identified a history of aGvHD ≥grade II after alloSCT (p=0.009, HR 2.1, 95% CI 1.2-3.7), an interval from alloSCT to DLI <6 months (p=0.003, HR 0.997, 95% CI 0.006-0.999), and a CD3+ cell count >1 x 106/kg at DLI1 (p=0.024, HR 1.011, 95% CI 1.001-1.021) as risk factors for induction of GvHD after DLI in CHR. One hundred and thirty three patients (39%) had died at last follow-up, with relapse still being the most frequent cause of death (n=87). Sixteen patients (5% of the entire cohort) died from DLI-induced GvHD, and 29 patients died from other courses. In summary, in this large cohort of patients receiving DLI for AL in CHR after alloSCT, efficacy of preemptive DLI cells could be demonstrated in 69% of patients. About half of patients with MRD, and >70% of patients with mixed chimerism did not experience hematological relapse during a follow up period of >5 years, suggesting a clinically meaningful effect of preDLI in AL. GvHD was the most devastating complication, leading to death in 5% of patients. The identification of risk factors for GvHD may influence the selection of candidates for prophylactic and preemptive DLI in general, and may help to refine the use of DLI in this context with respect to cell dose and timing. Disclosures Schmid: Neovii: Consultancy; Janssen Cilag: Other: Travel grand. Bug:Celgene, Novartis: Research Funding; NordMedica, Boehringer Ingelheim, Gilead: Membership on an entity's Board of Directors or advisory committees; TEVA Oncology, Astellas: Other: Travel Grant. Tischer:Sanofi-Aventis: Other: advisory board. Esteve:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria.
46
Sommer, Sebastian, Rainer Claus, Hartmut Bertz, Ralph Wäsch, Reinhard Marks, Robert Zeiser, Ljudmila Bogatyrova, Jürgen Finke, and Michael Lübbert. "Decitabine (DAC) in Combination with Donor Lymphocyte Infusions (DLIs) Can Induce Remissions of Overt Aml Relapses after Allogeneic Transplantation." Blood 128, no. 22 (December 2, 2016): 2247. http://dx.doi.org/10.1182/blood.v128.22.2247.2247.
Full textAbstract:
Abstract Background: Treatment with the DNA hypomethylating agents (HMAs) 5-azacytidine (AZA) or DAC has become a well-established option for elderly MDS and AML patients (pts). Regarding their mechanism of action, HMAs not only reactivate tumor suppressor genes, but also lead to an immune activation response, by expression of Cancer/testis antigens (Almstedt et al., Leuk. Res. 2010; Goodyear et al., Blood 2010) and endogenous retroviruses (Chiappinelli et al., Cell 2015; Roulois et al., Cell 2015). Hypothesizing that HMA-mediated immune activation may sensitize blasts to subsequent DLIs, we and others showed that AZA combined with DLIs can induce long-term remissions in pts with relapsed MDS/AML after allogeneic transplantation, particularly with a low leukemic burden, and after failure to respond to DLIs alone (Steinmann et al., BMT 2015, Schroeder et al., BBMT 2015). As DAC is considered useful also in pts with higher WBC and higher blast counts, we now treated 18 pts (most of them with more aggressive hematologic relapse) with DAC+DLIs. Patients and Methods: Between 10/06 and 03/16, 18 pts (median age 63 years, range 29-76, 10 males) with hematological relapse after allogeneic transplantation were treated with DAC and (where feasible) DLIs. Thirteen pts had AML (genetic risk by ELN: 3x int-1, 4x int-2, 6x adverse (4 MK+), 3 had MDS, 1 had polycythemia vera, 1 had atypical CML. Sixteen and 2 pts had received reduced-toxicity conditioning (mostly FBM) and myeloablative conditioning, respectively. Donors: matched unrelated in 8 pts, matched sibling in 4, mismatched in 6. DLIs at relapse after 1st/2nd transplant in 15/3 pts (1st/2nd/3rd/4th relapse in 11/5/1/1 pts). Median duration from transplant to hematologic relapse was 306 days (range, 56-4943). Median % blasts before DAC was 4% in peripheral blood (pb, range, 0-40%), 30 % in bone marrow (range, 7-60%), the median WBC was 4,770/µl (range, 430-30,800). DAC (20 mg/m2 per day) was administered either as a standard 5-day (15 pts) or a 10-day course (3 pts). DLIs were to be given 7 days after the last HMA dose. Prior AZA as relapse treatment was allowed. Results: Of 18 pts with myeloid neoplasias (mostly AML) with hematologic relapse after allografting, 15 received DAC+DLIs (for 8 of them after previous DLI-only, for 3 after previous AZA+DLI), 3 pts only received DAC (median number of DAC cycles: 2, range 1-8, median number of DLIs: 2, range 1-10). Two AML pts (aged 64 and 76 yr, no previous AZA, 7 and 4% pb blasts, respectively) attained a complete hematologic and molecular remission after 5-day DAC+DLI, with a duration of 250+ and 391 days, respectively. One of them is still in CR with no signs of GvHD, the other died in CR because of liver GvHD and hemosiderosis. A third AML pt attained complete donor chimerism following DAC+DLI but died at day 35 because of a fungal pneumonia (concurrent Sorafenib). Eleven additional pts achieved a temporary disease control (median duration 93 days, range 34-212), 5 of them were subsequently re-transplanted. Four pts showed no response to DAC+DLI, 3 developed GvHD. Seven pts died of PD, 6 pts of infections, 1 pt of intracranial hemorrhage, 1 pt of GvHD. Conclusions: DAC in combination with DLIs showed good feasibility in pts with relapsed AML/MDS after allogeneic transplantation. Despite overall higher median WBC and blast expansion than a large previous cohort treated with AZA+DLI, clinical activity was comparable, and in 2/18 pts (11%) a complete hematologic and molecular remission was achieved (despite the presence of peripheral blood blasts). This approach is investigated prospectively within the RELDAC substudy of the EORTC trial AML21 of older AML patients (inDACtion vs. induction, NCT02172872). Disclosures Claus: Janssen-Cilag: Consultancy, Honoraria, Other: Travel Funding; Gilead: Consultancy, Honoraria; Roche: Consultancy, Honoraria. Marks:Pfizer: Honoraria. Lübbert:Celgene: Other: Travel Funding; Ratiopharm: Other: Study drug valproic acid; Janssen-Cilag: Other: Travel Funding, Research Funding.
47
Vaagan, Robert W. "Open Standards in Scientific Communication and Publishing." Nordicom Review 28, no. 1 (May 1, 2007): 111–22. http://dx.doi.org/10.1515/nor-2017-0204.
Full textAbstract:
Abstract The paper takes as a starting point a recent EU Commission report on scientific publishing in Europe (Dewatripont et al 2006). In Norway, where a new system of documentation of scientific publishing was introduced in 2005, several of the recommendations in this report have already been anticipated. The Norwegian documentation system which has already proven controversial in parts of the research community and lacks parallells in other Nordic countries like Denmark and Sweden, is expected to have considerable consequences on Norwegian publishing patterns, such as increased use of electronic journals and of open standards such as Open Access and Open Source (Vaagan 2005). As e-publishing grows as part of the process of globalization, there is increasing awareness in many countries of ethical concerns in science and in scientific publishing, including the need for public access to publicly-funded research results. In this perspective, the paper links open standards in scientific communication and publishing to the principle of universality of science and to information ethics priorities identified by Capurro (2004). Qualitative methodology is used with critical & typical case sampling (Patton 2002) of key policy documents as well as international articles on e-publishing 2000-2005, especially from DLib magazine. In conclusion, it is suggested that open standards such as Open Access and Open Source are likely to increase in scientific publishing in the future, both in Norway and in the EU.
48
Chakraverty, Ronjon, Hyeon-Seok Eom, Jessica Sachs, Jennifer Buchli, Pete Cotter, Richard Hsu, Guiling Zhao, and Megan Sykes. "Host MHC class II+ antigen-presenting cells and CD4 cells are required for CD8-mediated graft-versus-leukemia responses following delayed donor leukocyte infusions." Blood 108, no. 6 (September 15, 2006): 2106–13. http://dx.doi.org/10.1182/blood-2006-03-007427.
Full textAbstract:
Abstract Following bone marrow transplantation, delayed donor leukocyte infusions (DLIs) can induce graft-versus-leukemia (GVL) effects without graft-versus-host disease (GVHD). These antitumor responses are maximized by the presence of host hematopoietic antigen-presenting cells (APCs) at the time of DLI. Using a tumor-protection model, we demonstrate here that GVL activity following administration of DLIs to established mixed chimeras is dependent primarily on reactivity to allogeneic MHC antigens rather than minor histocompatibility or tumor-associated antigens. CD8+ T-cell–dependent GVL responses against an MHC class II–negative tumor following delayed DLI require CD4+ T-cell help and are reduced significantly when host APCs lack MHC class II expression. CD4+ T cells primed by host APCs were required for maximal expansion of graft-versus-host reactive CD8+ T cells but not their synthesis of IFN-γ. In contrast, the GVL requirement for CD4+ T-cell help was bypassed almost completely when DLI was administered to freshly irradiated recipients, indicating that the host environment is a major factor influencing the cellular mechanisms of GVL.
49
Montefusco, Vittorio, Francesco Spina, Francesca Patriarca, Massimo Offidani, Benedetto Bruno, Lucia Farina, Alessandra Sperotto, et al. "High Response Rates to Bortezomib-Dexamethasone Followed by Donor Lymphocyte Infusions in Patients with Multiple Myeloma Relapsing After Allogeneic Stem Cell Transplantation: Results of a Multicentric Prospective Phase II Study." Blood 118, no. 21 (November 18, 2011): 828. http://dx.doi.org/10.1182/blood.v118.21.828.828.
Full textAbstract:
Abstract Abstract 828 Introduction: Patients with multiple myeloma (MM) relapsing or progressing after allogeneic stem cell transplantation (alloSCT) have limited therapeutic options. Donor lymphocyte infusions (DLI) are used to exploit the graft-versus-myeloma effect, and pilot studies have shown that cytoreduction before DLIs could increase their efficacy. These patients are often chemo-refractory or frail, so the new drugs are an attractive option in this setting. Based on experimental and pilot studies showing the high efficacy of bortezomib in alloSCT relapse of MM, we designed a prospective multicenter study to treat these patients with 3 cycles of bortezomib-dexamethasone (VD) followed by escalating doses of DLIs (VD-DLI). The primary objective was the efficacy in terms of response as defined by IMWG criteria. Secondary objectives were to assess the incidence of GVHD, the incidence of graft failure, the progression free survival (PFS), the overall survival (OS), and the safety. Methods: Patients with relapsing or progressive MM after alloSCT were enrolled. Treatment consisted of three 21-day cycles with bortezomib 1.3mg/sqm/day iv at days 1, 4, 8, 11, and oral dexamethasone 20mg/day at days 1–2, 4–5, 8–9, 11–12, followed by 4 DLIs at escalating cell doses administered every 6 weeks. The DLIs started from 5×10^6 CD3+/kg cell dose for HLA-identical sibling donors, or 5×10^5 CD3+/kg for mismatched siblings, matched unrelated (MUD), or haploidentical donors. For every patient, the cell dose was escalated by 0.5 Log at each DLI until a maximum of 1×10^8 CD3+/kg and 1×10^7 CD3+/kg dose at the fourth DLI for HLA identical and alternative donors, respectively. DLIs were stopped anytime in case of acute GVHD, or if patients achieved >=CR after at least 2 DLIs. A safety interim analysis was run after the enrollment of the first 10 patients. Here we presented the final analysis of the study. Results: Nineteen patients were enrolled at 4 Italian transplant centers between 2007 and 2010. Sixteen patients had ISS stage I MM, two had ISS stage II, and one had ISS stage III MM. FISH data were not available. Median patients' age was 58 years (range, 34–68 years), 8 patients were female. Patients had been treated with a median of 2 lines of therapy (range, 2–5 lines): all the patients had received at least one autologous transplant, 10 had received thalidomide, 4 patients had received bortezomib and none of them was bortezomib-refractory. Two patients had grade (G) 1 peripheral neuropathy (PN) owing to previous treatments. Fifteen alloSCT donors were HLA identical siblings, 3 were MUD and one was haploidentical. One patient received one VD, one 2 VD, and 17 patients all the 3 planned VD. Two patients received one DLI, 1 patient 2 DLIs, 6 patients 3 DLIs, and 8 patients 4 DLIs. The median follow-up of the 15 (79%) surviving patients is 22 months (range, 12.5–55 months). Overall response rate (ORR) to VD was 63%: 3 patients achieved PR, 7 patients VGPR, 1 patient CR and 1 sCR; patients with SD were 5. The 17 patients receiving VD and DLIs had a 71% ORR, with 1 patient achieving PR, 7 patients achieving VGPR, 2 patients CR and 2 sCR; disease was stable in 4 patients. Twelve patients (63%) eventually progressed at a median time of 8.7 months (range, 1–22 months). Progression-free survival was 47% at one year and 33% at both 2 and 3 years of follow-up (median PFS, 12 months). Overall survival was 90% at 1 year and 79% at both 2 and 3 years of follow-up (median not reached). The incidence of aGVHD was 18% (3 patients: 2 had grade 1 and one grade 2). Five patients (29%) had limited cGVHD, none had extensive cGVHD. None of the patients experienced graft failure. During VD, 2 patients experienced G2 hematologic toxicity (thrombocytopenia). PN occurred in 5 patients (26%): 4 patients had G2 PN, and one patient had G3 PN. Other extra-hematologic toxicities more than G2 occurred only in one patient (G3 infection event). During DLI there were no >G2 hematologic or extra-hematologic toxicities. There were no treatment-related mortalities. Conclusion: This prospective study shows that VD-DLIs is feasible, well tolerated, and it can offer a high remission rate to patients with MM relapsed or refractory after alloSCT. Interestingly, the PFS and OS curves show a plateau, suggesting the achievement of a response more prolonged respect to the series previously published, relative to the non allotransplant setting. [protocol EudraCT number: 2006-004815-24]. Supported by Janssen-Cilag. Disclosures: Off Label Use: Bortezomib and Thalidomide as post autotransplantation consolidation therapy in myeloma.
50
Walters, Kellie J., and Roberto G. Lopez. "Modeling growth and development of hydroponically grown dill, parsley, and watercress in response to photosynthetic daily light integral and mean daily temperature." PLOS ONE 16, no. 3 (March 25, 2021): e0248662. http://dx.doi.org/10.1371/journal.pone.0248662.
Full textAbstract:
In controlled environments, crop models that incorporate environmental factors can be developed to optimize growth and development as well as conduct cost and/or resource use benefit analyses. The overall objective of this study was to model growth and development of dill ‘Bouquet’ (Anethum graveolens), parsley ‘Giant of Italy’ (Petroselinum crispum), and watercress (Nasturtium officinale) in response to photosynthetic daily light integral (DLI) and mean daily temperature (MDT). Plants were grown hydroponically in five greenhouse compartments with MDTs ranging from 9.7 to 27.2 °C under 0%, 30%, or 50% shade cloth to create DLIs ranging from 6.2 to 16.9 mol·m‒2·d‒1. MDT and DLI interacted to influence dill fresh mass and height, and watercress maximum quantum yield of dark adapted leaves (Fv/Fm), height, and branch number while only MDT affected dill leaf number and watercress fresh mass and branch length. Besides dry matter concentration (DMC), parsley was influenced by MDT and not DLI. Increasing MDT from ≈10 to 22.4 °C (parsley) or 27.2 °C (dill and watercress), linearly or near-linearly increased fresh mass. For dill, increasing DLI decreased fresh mass when MDT was low (9.7 to 13.9 °C) and increased fresh mass when MDT was high (18.4 to 27.2 °C). DMC of dill, parsley, and watercress increased as MDT decreased or DLI increased, indicating a higher proportion of plant fresh mass is water at higher MDTs or lower DLIs. With these data we have created growth and development models for culinary herbs to aid in predicting responses to DLI and MDT.