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Journal articles on the topic 'Howe Machine Co'

Author: Grafiati

Published: 27 July 2024

Last updated: 31 July 2025

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1

Booth, Kate. "The places within." cultural geographies 25, no. 4 (2018): 637–41. http://dx.doi.org/10.1177/1474474018757504.

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There was a place in my life where I had the time and space to reflect more deeply on the intricacies of home. Here my sense of where I was shifted and stirred, along with my relationship with some of the ‘things’ that made up my home. The washing machine that seemingly existed as a complete, discrete ‘thing’ prior to arriving in my home transgressed into my washing machine. It became, as I describe below, co-produced within my home life – a co-production constituted through a myriad of near and far relationalities. This ‘thing’ lost its place as a machine conveniently located within the kitch

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Tao, JIANG, ZHANG Gui-lin, and GAO Jun-peng. "Illumination of a cylinder block transverse hole for machine vision inspection." Chinese Optics 13, no. 6 (2020): 1–8. http://dx.doi.org/10.37188/co.2020-0054.

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Chen, Shun Tong, Zong Han Jiang, Yi Ying Wu, and Hong Ye Yang. "Development of a Reverse Micro EDM-Drilling for Holing Diamond-Tool." Advanced Materials Research 126-128 (August 2010): 802–7. http://dx.doi.org/10.4028/www.scientific.net/amr.126-128.802.

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This study presents the development of a drilling technique for an innovative tabletop drilling machine that combines micro-EDM with drilling to fabricate micro-holes in diamond-tool. The mechanisms designs of double V-shaped bearings and double spindles which provide a precision clamping and vertical alignment for diamond-tool and micro-tube are devised to enable to machine a co-centric micro-hole for micro-tool. A diamond-tool, made with copper-based sintered alloy, is drilled by using the developed technique of co-centric micro-hole EDM-drilling into a hollow shaft which can create equilibr

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Rychel, Kevin, Katherine Decker, Anand V. Sastry, Patrick V. Phaneuf, Saugat Poudel, and Bernhard O. Palsson. "iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning." Nucleic Acids Research 49, no. D1 (2020): D112—D120. http://dx.doi.org/10.1093/nar/gkaa810.

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Abstract Independent component analysis (ICA) of bacterial transcriptomes has emerged as a powerful tool for obtaining co-regulated, independently-modulated gene sets (iModulons), inferring their activities across a range of conditions, and enabling their association to known genetic regulators. By grouping and analyzing genes based on observations from big data alone, iModulons can provide a novel perspective into how the composition of the transcriptome adapts to environmental conditions. Here, we present iModulonDB (imodulondb.org), a knowledgebase of prokaryotic transcriptional regulation

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Cheney, Nick, Josh Bongard, Vytas SunSpiral, and Hod Lipson. "Scalable co-optimization of morphology and control in embodied machines." Journal of The Royal Society Interface 15, no. 143 (2018): 20170937. http://dx.doi.org/10.1098/rsif.2017.0937.

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Evolution sculpts both the body plans and nervous systems of agents together over time. By contrast, in artificial intelligence and robotics, a robot's body plan is usually designed by hand, and control policies are then optimized for that fixed design. The task of simultaneously co-optimizing the morphology and controller of an embodied robot has remained a challenge. In psychology, the theory of embodied cognition posits that behaviour arises from a close coupling between body plan and sensorimotor control, which suggests why co-optimizing these two subsystems is so difficult: most evolution

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Kumari, K. Siva. "Home Air Quality Monitoring System." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 318–25. http://dx.doi.org/10.22214/ijraset.2024.63566.

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Abstract: The quality of indoor air is a critical determinant of health and well-being, particularly Given the considerable amount of time individuals invest indoors. Recognizing the pivotal role of air quality, this paper introduces a novel Home Air Quality Monitoring System (HAQMS) designed to provide real-time, accurate assessments of air quality within residential environments. The HAQMS integrates advanced sensors and IoT (Internet of Things) technologies to detect and quantify a wide range of air pollutants, including particulate matter (PM2.5 and PM10), volatile organic compounds (VOCs)

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Movi, Mintu, and Abdul Jabbar P. "Unveiling Rare Patterns: Anomaly Detection in CCTV Footage for Safeguarding Home Premises." Journal of Information Assurance and Security 19, no. 1 (2024): 15–35. http://dx.doi.org/10.2478/ias-2024-0002.

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Abstract Protecting residential properties through CCTV surveillance has become a crucial aspect of contemporary living. In the age of data-driven security, detecting unusual and infrequent patterns within CCTV footage is of significant importance. Conventional anomaly detection methods often need help to handle the intricacies and distinctiveness of home environments, where family members and potential intruders co-exist. To address these challenges, this research incorporates extensive datasets, various machine-learning techniques, and thorough evaluation measures to pinpoint rare patterns t

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Yousfi, A. "ML-ERV: A machine learning-based CO₂ emissions model designed for rental vehicles." IOP Conference Series: Earth and Environmental Science 1415, no. 1 (2024): 012006. https://doi.org/10.1088/1755-1315/1415/1/012006.

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Abstract On-road carbon dioxide (CO2 ) emissions from rental vehicles are very much affected by vehicle category, types of vehicle transmission, fuel type and traveled distance. In this paper, four machine learning models (decision trees, random forest, AdaBoost and XGBoost) were used to predict CO2 emissions from rental vehicles. The models were trained and tested on Carbookr’s bookings dataset. The results show that the traveled distance, the included mileage, the ACRISS code, the rental duration, the driver’s home country, the country where the driver works and the country where he pickups

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Marques, Ana. "Writing with Automated Machines: Between Translation and Sabotage." Matlit Revista do Programa de Doutoramento em Materialidades da Literatura 6, no. 3 (2018): 73–81. http://dx.doi.org/10.14195/2182-8830_6-3_6.

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A generative text is a system constituted by non-conscious and conscious cognizers, digital and analogue processes, and mathematical and linguistic modes of representation. But how do algorithms cognize? And how is meaning constructed in a system where authorial intentions and readers’ experiences and interpretations are mediated by algorithmic agents? Through the analysis of How It Is In Common Tongues (Cayley and Howe, 2012), I intend to discuss the tensions that arise from the encounter between algorithmic and human cognition, and between the regimes of information and expression. Drawing o

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Zhao, Yibing, Feng Ding, Xuecai Yu, Ronghui Zhang, and Xiumei Xiang. "A New Waters Hole Detection and Tracking Method for UGV in Cross-Country Environment." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 08 (2016): 1655024. http://dx.doi.org/10.1142/s0218001416550247.

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Environment perception is one of the important issues for unmanned ground vehicle (UGV). It is necessary to develop waters hole detection and tracking method in cross-country environment. This paper is related to the waters hole detection and tracking by using visual information. Image processing strategies based on support vector machine (SVM) and speeded up robust feature (SURF) methods are employed to detect and track waters hole. It focuses on how to extract the waters feature descriptor by exploring the machine learning algorithm. Based on the S/V color features and Gray Level Co-occurren

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Zou, Fan, Jiaqiang Dang, Xiaojiang Cai, Qinglong An, Weiwei Ming, and Ming Chen. "Hole quality and tool wear when dry drilling of a new developed metal/composite co-cured material." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 6-7 (2020): 980–92. http://dx.doi.org/10.1177/0954405420901420.

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The new developed metal/composite co-cured material composed of carbon fiber–reinforced plastic and Al phases has been increasingly applied for manufacturing of attitude control flywheel in aerospace industry. However, drilling of co-cured material is still a challenging task to produce holes with high quality and low cost in the assembly chain and dynamic balance debugging of attitude control flywheel. In other words, the relevant mechanisms and experimental findings involved in the drilling process of carbon fiber–reinforced plastic/Al co-cured material is not clearly defined, which impedes

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Gunawan, Mikhael, Rasional Sitepu, and Albert Gunadhi. "Sistem Pemadam Kebakaran Otomatis Berkonsep Smarthouse." Widya Teknik 21, no. 1 (2022): 1–7. http://dx.doi.org/10.33508/wt.v21i1.3892.

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Home fire disasters are still common around us. This problem is a challenge in order to be able to find a solution. One solution to secure a home from a potential fire is to apply smarthome technology. Based on this problem, the idea arose to make an automatic fire extinguisher that can spray water with a water pump when it detects smoke (CO) due to a fire and circulates air in the room with an exhaust fan when an LPG gas cylinder leak is detected in the house so as to prevent a house fire. This tool is planned to be connected to the GSM module so that wherever we are we can find out if there

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Nandikotkur, Achyuth, Issa Traore, and Mohammad Mamun. "SeniorSentry: Correlation and Mutual Information-Based Contextual Anomaly Detection for Aging in Place." Sensors 23, no. 15 (2023): 6752. http://dx.doi.org/10.3390/s23156752.

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With the ever-growing reliance on IoT-enabled sensors to age in place, a need arises to protect them from malicious actors and detect malfunctions. In an IoT smart home, it is reasonable to hypothesize that sensors near one another can exhibit linear or nonlinear correlations. If substantiated, this property can be beneficial for constructing relationship trends between the sensors and, consequently, detecting attacks or other anomalies by measuring the deviation of their readings against these trends. In this work, we confirm the presence of correlations between co-located sensors by statisti

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Zhao, ShiJie, Toshihiko Sasama, Takao Kawamura, and Kazunori Sugahara. "Detection of Irregular Behavior in Room Using Environmental Sensors and Power Consumption of Home Appliances Learning in HMMs." International Journal of New Media Technology 4, no. 2 (2017): 94–98. http://dx.doi.org/10.31937/ijnmt.v4i2.786.

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We propose a human behavior detect method based on our development system of multifunctional outlet. This is a low-power sensor network system that can recognize human behavior without any wearable devices. In order to detect human regular daily behaviors, we setup various sensors in rooms and use them to record daily lives. In this paper we present a monitoring method of unusual behaviors, and it also can be used for healthcare and so on. We use Hidden Markov Model(HMM), and set two series HMM input to recognize irregular movement from daily lives, One is time sequential sensor data blocks wh

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Hegde, Sandeep Kumar, Sujidha B., K. Vimala Devi, et al. "Hybrid approach for lung cancer detection based on deep learning/machine learning." Journal of Autonomous Intelligence 7, no. 5 (2024): 1605. http://dx.doi.org/10.32629/jai.v7i5.1605.

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<p>The incidence of Lung Cancer (LC) is rising in India. LC has been diagnosed and detected numerous times utilizing numerous data processing and identification strategies. Since the underlying origin of LC is still unknown, treatment is hopeless, making early diagnosis of lung tumors the only viable treatment option. So, a Machine Learning (ML) and Deep Learning (DL) based system is utilized to categorize CT scans for the existence of LC. The Visual Geometry Group (VGG-16) and Multi-Class Support Vector Machine (VGG-16+MSVM) technique is proposed in this research. Non-Local Means (NLM)

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Chen, Jiangyu. "Design and Analysis of Home Control Complex System Based on PLC Technology." Mobile Information Systems 2022 (August 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/6830120.

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The wide application of communication, automation, computer and other technologies not only provides a new direction for the development of home furnishing, but also makes the concept of “smart home” popular in recent years. The purpose of this study is to design a complex control system for smart healthcare home based on PLC technology. First, the research significance and background of this study are discussed, and the complex system, traditional PID control, and BP neural network algorithm are summarized. Second, the ZigBee wireless sensor network and PLC control system are studied, and the

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Nasution, Arya Rudi, Fauzi S. Wahyudi, Chandra A. Siregar, Affandi Affandi, and Zahrul Fuadi. "Pengaruh sudut twist drill terdahap kekasaran dan kebulatan pada proses pemesinan drilling." SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin 17, no. 1 (2023): 1. http://dx.doi.org/10.24853/sintek.17.1.1-6.

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Coolant and twist drill angle is one of the factors that affect the quality of the workpiece. Coolant selection and twist drill angle are useful for reducing hole roughness and increasing drill hole precision. In addition, the coolant must be easily degraded in the environment so that the environment is not polluted. An example of coconut oil is oil that can be degraded in the environment. This study aims to determine the effect of coconut oil (CO) and drill bit angle on the hole and hole precision obtained during the drilling process. In experimental testing, conventional drilling machines ar

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Tlhabadira, Isaac, Ilesanmi Daniyan, and Abou El Hossein Khaled. "Determination of the Accuracy of Holes produced by Deep Drilling of Ti-6Al-4V Titanium Alloy." International journal of applied engineering and technology (London) 5, no. 3 (2023): 171–84. http://dx.doi.org/10.61485/ijaet/v5-3-2023-22.

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Deep drilled holes in titanium alloys are broad in terms of the engineering and fabrication application in various products. The accuracy of deep drilling, tool wear, chip morphology and hole surface-wear are determined in this study. A sequence of machining tests were conducted to examine the deep drilling of Ti6Al4V alloy behaviour. Furthermore, a model that describes and improves the accuracy of holes in deep drilling of Ti6Al4V using High Speed Steel (HSS) drills was investigated, with the upshot of cutting limits on process indicators on tool wear and chips for modern manufacturing indust

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Tresa, Renu. "Collaborational Co-Existing with the AI: Wedding the Bhasmāsura with Humanity for the Good." Vidyankur: Journal of Philosophical and Theological Studies Nov-Dec 2020, no. XXXII/2 (2020): 18–30. https://doi.org/10.5281/zenodo.4101684.

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‘Virtual reality’ is the watch word for our times with coronavirus sweeping the whole of Earth keeping us socially distanced; not on the social media platforms though.  The virtual reality is the new ‘reality.’  Artificial Intelligence (AI) is at the forefront to make our life viable during this pandemic.  Work from home, virtual meetings, online classes are all possible through the AI.  Our dependence on AI is on the rise exponentially. Will the AI overcome humanity and rule over us? Should we be threatened by Super Intelligence?  As the world

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Bongard, Josh. "The Utility of Evolving Simulated Robot Morphology Increases with Task Complexity for Object Manipulation." Artificial Life 16, no. 3 (2010): 201–23. http://dx.doi.org/10.1162/artl.2010.bongard.024.

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Embodied artificial intelligence argues that the body and brain play equally important roles in the generation of adaptive behavior. An increasingly common approach therefore is to evolve an agent's morphology along with its control in the hope that evolution will find a good coupled system. In order for embodied artificial intelligence to gain credibility within the robotics and cognitive science communities, however, it is necessary to amass evidence not only for how to co-optimize morphology and control of adaptive machines, but why. This work provides two new lines of evidence for why this

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Kit Lim, Leonard Whye. "Recently Emerged Genome Wide Computational Enhancer Target Prediction Tools: A Brief Survey." International Journal of Zoology and Animal Biology 6, no. 1 (2023): 1–8. http://dx.doi.org/10.23880/izab-16000440.

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Enhancers are non-coding genomic regulatory elements capable of elevating gene transcription in various biological as well as developmental stages in the host organism. Discovered since 1981, the enhancers play major roles in genetic disease onset and development, orchestrating gene regulation patterns even across the same species via the sequence variations. To date, predicting enhancers and their targets remain a daunting task as universal enhancer markers are yet to be discovered. Computational enhancer target prediction involves three major approaches: supervised, unsupervised and semi-sup

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Owodiong-Idemeko, B.M and Adubi, K.O. "HOME ECONOMICS RETIREES: PROSPECTS AND CHALLENGES IN HARNESSING GARMENT CONSTRUCTION SKILLS FOR SECURING FAMILY FUTURE SUSTAINABILITY IN RETIREMENT." Nigeria Journal of Home Economics (ISSN: 2782-8131) 10, no. 6 (2022): 91–99. http://dx.doi.org/10.61868/njhe.v10i6.102.

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The study involved 120 Home Economics Association (HETAN) members from Badagry and Ojo Local Government areas of Lagos state. The objectives where to ascertain the various garment construction skills, evaluate the prospects of harnessing the various skills, assess the challenges faced by Home Economics retires in harnessing garment construction skills for sustenance in securing family future in retirement. Three hypotheses were formulated and a thirty-seven (37) item questionnaire was the main instrument used to collect data for the study. The statistical tools used were frequency count, perce

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Liu, Wei, Xianming Tu, Zhenyuan Jia, Wenqiang Wang, Xin Ma, and Xiaodan Bi. "An improved surface roughness measurement method for micro-heterogeneous texture in deep hole based on gray-level co-occurrence matrix and support vector machine." International Journal of Advanced Manufacturing Technology 69, no. 1-4 (2013): 583–93. http://dx.doi.org/10.1007/s00170-013-5048-0.

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Ullah, Sehat, Paul Richard, Samir Otmane, Mickael Naud, and Malik Mallem. "Human Performance in Cooperative Virtual Environments: the Effect of Visual Aids and Oral Communication." International Journal of Virtual Reality 8, no. 4 (2009): 79–86. http://dx.doi.org/10.20870/ijvr.2009.8.4.2752.

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The Cooperative virtual environments, where users simultaneously manipulate objects, are one of the subfields of Collaborative virtual environments (CVEs). In this paper we simulate the use of two string based parallel robots in cooperative teleoperation task. Two users setting on separate machines connected through local network operate each robot. In this context, we investigate the effects of visual aids and oral communication on cooperation, co-presence and users performance. Ten volunteers had to cooperatively perform a peg-in-hole task. A second group of ten subjects perform the same tas

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Weaver, Lindell K. "Three cases of clinically significant inaccurate carboxyhemoglobin measurement." Undersea and Hyperbaric Medicine 49, no. 2 (2022): 172–77. http://dx.doi.org/10.22462/03.04.2022.2.

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Background: Clinicians often rely on measurement of carboxyhemoglobin (COHb) to confirm or rule out a diagnosis of carbon monoxide (CO) poisoning. Methods: We report two cases of false negative COHb in patients with CO poisoning and one case of false positive COHb in a patient without CO poisoning. Results: In the first case, a 20-year-old male developed headache, confusion, and near-syncope while operating a gasoline-powered pressure washer in an enclosed space. In the emergency department (ED), his COHb was 1.8%, but this level was disregarded, and he was referred for hyperbaric oxygen. His

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Hannibal, Joseph T. "The air-abrasive technique." Paleontological Society Special Publications 4 (1989): 227–36. http://dx.doi.org/10.1017/s2475262200005189.

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AIR-ABRASIVE, also called Airbrasive (a trademark of the Pennwalt S.S. White Co.), units are in effect miniature sandblasting machines. The units propel an abrasive, by means of a gas, through a flexible hose attached to a handpiece. Originally designed for dental and industrial uses, these units are now widely used for preparing fossils. The air abrasive can be used by itself or in combination with other techniques to excavate fossils from matrix, to remove matrix from areas of specimens for detailed study, and to elevate specimens above the surface of the matrix for display and photography.

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Kumar, Sanjay, and Aleksander Czekanski. "Optimization of parameters for SLS of WC-Co." Rapid Prototyping Journal 23, no. 6 (2017): 1202–11. http://dx.doi.org/10.1108/rpj-10-2016-0168.

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Purpose WC-Co is a well-known material for conventional tooling but is not yet commercially available for additive manufacturing. Processing it by selective laser sintering (SLS) will pave the way for its commercialization and adoption. Design/methodology/approach It is intended to optimize process parameters (laser power, hatch spacing, scan speed) by fabricating a bigger part (minimum size of 10 mm diameter and 5 mm height). Microstructural analysis, EDX and hardness testing is used to study effects of process parameters. Optimized parameter is ascertained after fabricating 49 samples in pre

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Desmet, Peter, Hoey Stijn Van, Lien Reyserhove, Dimitri Brosens, Damiano Oldoni, and Tanja Milotic. "Standardizing Biologging Data for LifeWatch: Camera Traps, Acoustic Telemetry and GPS Tracking." Biodiversity Information Science and Standards 3 (June 26, 2019): e37413. https://doi.org/10.3897/biss.3.37413.

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The Research Institute for Nature and Forest (INBO) is co-managing three biologging networks as part of a terrestrial and freshwater observatory for LifeWatch Belgium. The networks are a GPS tracking network for large birds, an acoustic receiver network for fish, and a camera trap network for mammals. As part of our mission at the Open science lab for biodiversity, we are publishing the machine observations these networks generate as standardized, open data. One of the challenges however, is finding the appropriate standards and platforms to do so. In this talk, we will present the three netwo

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Levin, Nathan A. "Process Mining Combined with Expert Feature Engineering to Predict Efficient Use of Time on High-Stakes Assessments." Journal of Educational Data Mining 13, no. 2 (2021): 1–15. https://doi.org/10.5281/zenodo.5275311.

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The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In this work, a combined approach of process mining and expert feature engineering was used to build a large set of features that were then trained with an Extreme Gradient Boosting machine learning model to classify students based on whether they would us

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Lee, Inova, Oluwafemi Ajose, Ana Crathorne, Brandon Wong, and Rebecca Hatton. "Improving Physical Health Monitoring in Patients Under a London Home Treatment Team." BJPsych Open 11, S1 (2025): S143. https://doi.org/10.1192/bjo.2025.10389.

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Aims: Many of our patients have multiple co-morbidities in addition to their mental health diagnoses, with the two often impacting each other. Outcomes such as life expectancy in mental health patients also tend to be poorer compared with the general population. Therefore, it is vital to use the opportunity whilst patients are under our services to engage them in care for their physical health. Our quality improvement (QI) project began after reviewing home treatment team physical health policies across the UK to form a tailored local protocol, and was co-produced with our experts-by-experienc

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Ruocco, Assunta. "Index of love and care: The home–studio as milieu for art practice, childcare and insubordination." Drawing: Research, Theory, Practice 9, no. 2 (2024): 311–24. https://doi.org/10.1386/drtp_00145_1.

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During the COVID-19 pandemic, my home–studio became a space for both art and childcare. As an artist parent, unable to work independently when my 4-year-old daughter’s kindergarten closed, I initiated a project with Louise. With the aid of a scanner and digital printer, our drawings were produced through a series of interventions and exchanges, in a co-working relationship that involves not only humans but also the studio floor and a domestic digital printer to create our ongoing project ‘Index of love and care’. I delegated my artistic practice to Louise, asking her to complete and improve my

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Hamilton, Sana, Aniruddh Deshpande, Gail Nankivell, Elizabeth H Barnes, and Patrina Caldwell. "A study of the effects of home administered transcutaneous electrical nerve stimulation on quality of life, psychosocial and incontinence outcomes in children with overactive bladder syndrome." Australian and New Zealand Continence Journal 30, no. 4 (2025): 105–11. https://doi.org/10.1071/cj24031.

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Main problem. There is uncertainty about the effect of transcutaneous electrical nerve stimulation on quality of life and psychosocial outcomes in children with lower urinary tract symptoms. We aim to describe its impact on quality of life, psychosocial outcomes and lower urinary tract symptoms in Australian children with overactive bladder while exploring the role of confounders including baseline co-morbidities and length of transcutaneous electrical nerve stimulation usage at home. Methods. Children aged four to 18 years with symptoms of overactive bladder were given a transcutaneous electr

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Dharmawirawan, Dimas Ari, and Robiana Modjo. "Identifikasi Bahaya Keselamatan dan Kesehatan Kerja pada Penangkapan Ikan Nelayan Muroami." Kesmas: National Public Health Journal 6, no. 4 (2012): 185. http://dx.doi.org/10.21109/kesmas.v6i4.98.

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Kelautan Kepulauan Seribu pada tahun 2009 terdapat 1.722 penduduk berprofesi sebagai nelayan. Sebanyak 299 orang berprofesi nelayan muroami yang menghadapi bahaya keselamatan dan kesehatan kerja tinggi dan hingga saat ini mereka belum mengetahui bahaya pekerjaan tersebut.Penelitian deskriptif dengan analisis kualitatif ini, bertujuan mendapatkan gambaran bahaya kegiatan penangkapan ikan nelayan muroami di Kelurahan Pulau Panggang, Kabupaten Kepulauan Seribu. Penelitian ini hanya mengamati para penyelam kompresor sebagai subjek penelitian dengan mengunakan metode identifikasi bahaya yaitu Job H

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Chiu, Po-Fan, Robert Chen-Hao Chang, Yung-Chi Lai, et al. "Machine Learning Assisting the Prediction of Clinical Outcomes following Nucleoplasty for Lumbar Degenerative Disc Disease." Diagnostics 13, no. 11 (2023): 1863. http://dx.doi.org/10.3390/diagnostics13111863.

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Background: Lumbar degenerative disc disease (LDDD) is a leading cause of chronic lower back pain; however, a lack of clear diagnostic criteria and solid LDDD interventional therapies have made predicting the benefits of therapeutic strategies challenging. Our goal is to develop machine learning (ML)–based radiomic models based on pre-treatment imaging for predicting the outcomes of lumbar nucleoplasty (LNP), which is one of the interventional therapies for LDDD. Methods: The input data included general patient characteristics, perioperative medical and surgical details, and pre-operative magn

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Manoharan, Samuel, and Narain Ponraj. "Analysis of Complex Non-Linear Environment Exploration in Speech Recognition by Hybrid Learning Technique." December 2020 2, no. 4 (2021): 202–9. http://dx.doi.org/10.36548//jiip.2020.4.005.

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Recently, the application of voice-controlled interfaces plays a major role in many real-time environments such as a car, smart home and mobile phones. In signal processing, the accuracy of speech recognition remains a thought-provoking challenge. The filter designs assist speech recognition systems in terms of improving accuracy by parameter tuning. This task is some degree of form filter’s narrowed specifications which lead to complex nonlinear problems in speech recognition. This research aims to provide analysis on complex nonlinear environment and exploration with recent techniques in the

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Manoharan, Samuel, and Narain Ponraj. "Analysis of Complex Non-Linear Environment Exploration in Speech Recognition by Hybrid Learning Technique." December 2020 2, no. 4 (2021): 202–9. http://dx.doi.org/10.36548/jiip.2020.4.005.

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Recently, the application of voice-controlled interfaces plays a major role in many real-time environments such as a car, smart home and mobile phones. In signal processing, the accuracy of speech recognition remains a thought-provoking challenge. The filter designs assist speech recognition systems in terms of improving accuracy by parameter tuning. This task is some degree of form filter’s narrowed specifications which lead to complex nonlinear problems in speech recognition. This research aims to provide analysis on complex nonlinear environment and exploration with recent techniques in the

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Yun, Y. N., H. M. Zhang, and C. J. Li. "Automatic Detection Apparatus Development of Steel Cord Conveyor Belt." Key Engineering Materials 455 (December 2010): 516–20. http://dx.doi.org/10.4028/www.scientific.net/kem.455.516.

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Steel core belts are widely used in long-distance, large capacity, large angle of mine, metallurgy, port, electricity and other departments of the large-scale transportation systems. According to incomplete statistics, this kind of belt accident 93.75% occurred in the joints and most are due to joints tic was not timely detected. Hence, non-destructive detection of belt is the key to the whole transportation system’s safety. For steel core belt automatic detection technology, deep research has been carried out at home and abroad. Detection apparatus was developed based on the electromagnetic t

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Lee, Chang-Shing, Mei-Hui Wang, Yi-Lin Tsai, et al. "FML-Based Reinforcement Learning Agent with Fuzzy Ontology for Human-Robot Cooperative Edutainment." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 28, no. 06 (2020): 1023–60. http://dx.doi.org/10.1142/s0218488520500440.

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The currently observed developments in Artificial Intelligence (AI) and its influence on different types of industries mean that human-robot cooperation is of special importance. Various types of robots have been applied to the so-called field of Edutainment, i.e., the field that combines education with entertainment. This paper introduces a novel fuzzy-based system for a human-robot cooperative Edutainment. This co-learning system includes a brain-computer interface (BCI) ontology model and a Fuzzy Markup Language (FML)-based Reinforcement Learning Agent (FRL-Agent). The proposed FRL-Agent is

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Lee, Sang Bae, Jung Y. Cha, Doug Youn Lee, Kyeong Jun Park, Kyoung Nam Kim та Kwang Mahn Kim. "Effect of Cyanoacrylate-Based β-TCP Adhesive on Pullout Strength of Orthodontic Mini-Screw". Key Engineering Materials 330-332 (лютий 2007): 1361–64. http://dx.doi.org/10.4028/www.scientific.net/kem.330-332.1361.

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In this study, the effect of cyanoacrylate-based β-tricalcium phosphate (β-TCP) on pullout strength of orthodontic mini-screw was evaluated. New cements were prepared by mixing Histoacryl® (n-butyl cyanoacrylate) and acid-treated β-tricalcium phosphate. The ratios of β-TCP to Histoacryl® were 0, 0.5, 1.0, and 2.0. Artificial bone blocks were used as a substrate for the miniscrew implantation. The test groups were divided into three groups (one solid bone block [group 1] and a bone block with a 0.9 mm hole [group 2], and a bone block with a 2.5 mm hole [group 3]). And each group was divided int

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Ihlenfeldt, S., U. Frieß, M. Wabner, and R. Tehel. "Berücksichtigung des positionsabhängigen Maschinenverhaltens innerhalb der Simulation*/Position depending dynamic machine tool simulation by holistic FEM models." wt Werkstattstechnik online 105, no. 05 (2015): 275–84. http://dx.doi.org/10.37544/1436-4980-2015-05-27.

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Die Leistungsfähigkeit und Ressourceneffizienz moderner Produktionssysteme wird wesentlich durch ihr dynamisch-mechatronisches Verhalten bestimmt. Um quantitative Aussagen hinsichtlich auftretender Bahnabweichungen zu erhalten, hat sich die kombinierte Simulation von mechanischer Struktur und Antriebsregelung etabliert. Während der Verfahrbewegung ändert sich jedoch das mechanische Strukturverhalten durch die Verlagerung von Komponenten wesentlich. In der flexiblen Mehrkörpersimulation (MKS) existieren verschiedene Ansätze dynamische Bahnbewegungen abzubilden, welche jedoch komplexe, genauigke

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Zhou, Binghua, Yiguo Xue, Mingtian Li, Zhiqiang Li, Xueliang Zhang, and Yufan Tao. "Longitudinal jet ventilation calculation and application of long highway tunnel." Journal of Engineering, Design and Technology 16, no. 2 (2018): 256–69. http://dx.doi.org/10.1108/jedt-07-2017-0070.

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Purpose When a vehicle passes through a long highway tunnel, the smoke it discharges accumulates in the tunnel. High smoke concentration has an important influence on the driver’s health and driving safety. The use of numerous jet fans to diffuse the smoke causes excessive energy consumption, so it is of significant practical value to design suitable tunnel ventilation. Design/methodology/approach The study is based on the continuum hypothesis, incompressible hypothesis, steady flow hypothesis and similar hypothesis of gas in a long highway tunnel. These hypotheses calculate the gas emissions

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XU, YINCHAO, KANGHUA CHEN, SHEQUAN WANG, SONGYI CHEN, and XIANGMING CHEN. "INFLUENCE OF PRETREATMENT ON DIAMOND-COATED TOOL NUCLEATION AND MACHINING PERFORMANCE." Surface Review and Letters 24, Supp02 (2017): 1850020. http://dx.doi.org/10.1142/s0218625x18500208.

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The CVD diamond film with favorable adhesion and relatively thinner thickness is essential facing for its application on drills for machining carbon fiber reinforced plastics (CFRP), with regard to either the tool lifetime or the machining quality. A 500-nm-thick CrN layer was deposited by the cathode arc technique on slight chemical etched WC–Co 6[Formula: see text]wt.% drill, and nano-crystalline diamond (NCD) is subsequently deposited by the hot filament chemical vapor deposition (HFCVD) technique. The same NCD film is also deposited on the drills pretreated only by the slight chemical etch

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Sottas, Beat. "Blind Flight into the eHealth World? Deficits in the education of health professionals hamper process of professionalization. Contribution to the HoGe conference 2018 „Digital learning and teaching“ / Blindflug in die eHealth-Welt? Bildungsdefizite machen Professionalisierungsbemühungen der Gesundheitsberufe zunichte. Beitrag zur HoGe–Tagung 2018 „Digitales Lernen und Lehren“." International Journal of Health Professions 6, no. 1 (2019): 68–78. http://dx.doi.org/10.2478/ijhp-2019-0008.

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Abstract Educational strategies often derive from ideas of eminent founders. They convey traditional conceptions of good practice and professional identity. However, the environment changes dramatically. Megatrends such as multimorbidity, staff shortage, claims for outcome proofs, expectations of the Millennials, and also digitalization produce slow but steady efects. Yet, the question if education adequately tackles the challenges is avoided. Strategy papers show that arrangements and instruments have been adapted, but not contents. Deficits are visible primarily in facing the digital transfo

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Pozhitkov, Alexander, Theophilus Tandoh, Mahmoud Singer, Allen Mao, Flavia Pichiorri, and Samir Courdy. "Poseidon - a Collaborative Environment for the Daratumumab Sensitivity Research Trial." Blood 142, Supplement 1 (2023): 7177. http://dx.doi.org/10.1182/blood-2023-182239.

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Precision Oncology Software Environment Interoperable Data Ontologies Network (POSEIDON) was conceived at City of Hope (COH) as a cloud-based computational and data storage platform. The platform brings together patient data from the COH electronic medical records (EMR), research data from the laboratories and enables parallelized computation on multiprocessor virtual machines. In POSEIDON, well-established computational environments, such as R, co-exist with custom-written pipelines. Daratumumab - an anti-CD38 therapeutic antibody - is a drug used for maintenance treatment of multiple myeloma

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Colangelo, Dave, Patricio Dávila, and Immony Mèn. "Receipts and Receipts NB." Interactive Film & Media Journal 3, no. 1 (2023): 82–89. http://dx.doi.org/10.32920/ifmj.v3i1.1685.

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This paper reports on two iterations of our ongoing Receipts project. The project serves as a means to experiment with and propose processes that use social practice and machine learning technologies to prepare testimonies and listeners to more clearly and impactfully speak, hear, and feel what it is like to respond to mimetic trauma and be part of an equity-deserving group in public space. The work is guided by the following question: How can the process of facilitating the preparation and presention of anonymized testimonies of discriminatory aggression in public spaces with the witnesses an

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Pozzan, Mario Cesare, Francesco Grande, Edoardo Mochi Zamperoli, Fabio Tesini, Massimo Carossa, and Santo Catapano. "Assessment of Preload Loss after Cyclic Loading in the OT Bridge System in an “All-on-Four” Rehabilitation Model in the Absence of One and Two Prosthesis Screws." Materials 15, no. 4 (2022): 1582. http://dx.doi.org/10.3390/ma15041582.

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The aim of this study was to evaluate the stability of prosthetic screws after applying cyclic loadings in an “all-on-four” rehabilitation model with the OT Bridge system. The model was tested both with and without anterior screws. Four implant analogues following the “all-on-four” concept were inserted in an edentulous mandibular resin model. An OT Bridge system with a Cr–Co prosthetic framework was fabricated. Depending on the presence or absence of one or two anterior screws on the implant analogues, three groups were created, i.e., Gr.1: three tightening screws, Gr.2: two tightening screws

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Cerutti Torres, Joeluis Cerutti, Pablo Sánchez-Palencia, José Carlos Jiménez-Sáez, Perla Wahnón, and Pablo Palacios. "Effect of Changing and Combining Trivalent Metals in the Structural and Electronic Properties of Cu-Based Crystal Delafossite Materials." Crystals 14, no. 5 (2024): 418. http://dx.doi.org/10.3390/cryst14050418.

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Cu-based ternary oxides with delafossite structure have received considerable attention in recent years for their versatility in a wide range of applications, among which is the possibility to use them in heterostructure solar cells as hole transport layers, due to their promising behavior as p-type conducting oxides. Ab initio calculations have been performed with density functional theory to investigate the role of the trivalent metal within the CuMO2 structure and the dependence of structural and electronic properties with the species (M = Al, Ga, In, Fe, Cr, Co, Sc, Y) occupying the site o

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Vodencarevic, A., K. Tascilar, F. Hartmann, et al. "SAT0055 PREDICTION OF FLARES FOR RHEUMATOID ARTHRITIS PATIENTS ON BIOLOGIC DMARDS USING MACHINE LEARNING AND SUBSETS OF VARIABLES AVAILABLE TO PHYSICIANS, PATIENTS AND PAYERS." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 959.2–960. http://dx.doi.org/10.1136/annrheumdis-2020-eular.1553.

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Background:Today approximately 50 percent of patients with RA reach sustained remission. In a specific subset of RA patients in stable remission, biological Disease Modifying Anti-Rheumatic Drugs (bDMARDs) may be successfully tapered. However, it remains challenging to predict the patients’ individual flare risk. As we have recently shown, machine learning based on extensive clinical and laboratory data could be used to estimate individual flare risk [1].Objectives:In this study we aimed to investigate the performance of machine learning models trained with variables that are typically (1) imm

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Szczepura, Ala, Mark Collinson, Louise Moody, et al. "PP89 Living Lab Concept: An Innovation Hub For Elderly Residential Care." International Journal of Technology Assessment in Health Care 34, S1 (2018): 99–100. http://dx.doi.org/10.1017/s0266462318002362.

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Introduction:Many countries face the challenge of an aging population. Development of suitable technologies to support frail elderly living in care homes, sheltered housing or at home remains a concern. Technology evaluation in real-life conditions is often lacking, and randomized controlled trials of ‘pre-designed’ technologies are expensive and fail to deliver. A novel alternative would be ‘living labs’-real-life test and experimentation environments where users and producers co-create innovations and large-scale data can be collected.Methods:The goal of the living labs and Data Driven Resea

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Hsu, Sharon Nienyun, Erika Wong En Hui, Mengzhen Liu, Di Wu, Thomas A. Hughes, and James Smith. "Revealing nuclear receptor hub modules from Basal-like breast cancer expression networks." PLOS ONE 16, no. 6 (2021): e0252901. http://dx.doi.org/10.1371/journal.pone.0252901.

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Nuclear receptors are a class of transcriptional factors. Together with their co-regulators, they regulate development, homeostasis, and metabolism in a ligand-dependent manner. Their ability to respond to environmental stimuli rapidly makes them versatile cellular components. Their coordinated activities regulate essential pathways in normal physiology and in disease. Due to their complexity, the challenge remains in understanding their direct associations in cancer development. Basal-like breast cancer is an aggressive form of breast cancer that often lacks ER, PR and Her2. The absence of th

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