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1

Yetgin, Zeki, and Gamze Seckin. "Progressive Download for Multimedia Broadcast Multicast Service." IEEE Multimedia 16, no. 2 (April 2009): 76–85. http://dx.doi.org/10.1109/mmul.2009.34.

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Färber, Nikolaus, Stefan Döhla, and Jochen Issing. "Adaptive progressive download based on the MPEG-4 file format." Journal of Zhejiang University-SCIENCE A 7, S1 (January 2006): 106–11. http://dx.doi.org/10.1631/jzus.2006.as0106.

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3

Lobov, I. V., and V. G. Gotman. "Adaptive Bitrate Seamless Live Streaming over HTTP by Progressive Download Method." Informacionnye Tehnologii 26, no. 3 (March 24, 2020): 177–84. http://dx.doi.org/10.17587/it.26.177-184.

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4

SHIBUYA, Megumi, Tomohiko OGISHI, and Shu YAMAMOTO. "Performance Evaluation of Peer-to-Peer Progressive Download in Broadband Access Networks." IEICE Transactions on Communications E93-B, no. 3 (2010): 600–608. http://dx.doi.org/10.1587/transcom.e93.b.600.

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KITO, Takahito, Iori OTOMO, Takuya FUJIHASHI, Yusuke HIROTA, and Takashi WATANABE. "Segment Scheduling for Progressive Download-Based Multi-View Video Delivery under Successive View Switching." IEICE Transactions on Communications E101.B, no. 4 (2018): 1152–62. http://dx.doi.org/10.1587/transcom.2017ebp3170.

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Ma, Kevin J., Man Li, Alan Huang, and Radim Bartos. "Video Rate Adaptation in Mobile Devices via HTTP Progressive Download of Stitched Media Files." IEEE Communications Letters 15, no. 3 (March 2011): 320–22. http://dx.doi.org/10.1109/lcomm.2011.012511.102044.

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7

Fox, Gearóid, Fabian Sievers, and Desmond G. Higgins. "Using de novo protein structure predictions to measure the quality of very large multiple sequence alignments." Bioinformatics 32, no. 6 (November 14, 2015): 814–20. http://dx.doi.org/10.1093/bioinformatics/btv592.

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Abstract Motivation: Multiple sequence alignments (MSAs) with large numbers of sequences are now commonplace. However, current multiple alignment benchmarks are ill-suited for testing these types of alignments, as test cases either contain a very small number of sequences or are based purely on simulation rather than empirical data. Results: We take advantage of recent developments in protein structure prediction methods to create a benchmark (ContTest) for protein MSAs containing many thousands of sequences in each test case and which is based on empirical biological data. We rank popular MSA methods using this benchmark and verify a recent result showing that chained guide trees increase the accuracy of progressive alignment packages on datasets with thousands of proteins. Availability and implementation: Benchmark data and scripts are available for download at http://www.bioinf.ucd.ie/download/ContTest.tar.gz. Contact: des.higgins@ucd.ie Supplementary information: Supplementary data are available at Bioinformatics online.
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Ruiz-Lopez-tejada, M., L. Tejedor-Cabrera, and C. Iradi-Martinez. "Circulating tumour markers and time to progression in the chemotherapy treatment of metastatic breast cancer." Journal of Clinical Oncology 24, no. 18_suppl (June 20, 2006): 10674. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.10674.

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10674 Background: Monitoring the response to the chemotherapy treatment (CT) in metastatic breast cancer (MBC) by circulating tumour markers (CTM) remains under investigation. We have previosly shown that early lack of biological progression of 4 CTM (1 oncofetal: CEA, 2 mucin related: CA 15.3,CA 549 and cytokeratin 18–19: TPA), predicts anatomic disease control - concordance nearly 100% for every CTM- during CT of MBC (E.J.C. Suppl Oct 2005, Vol 3 Abst 415- ECCO 13). The aim is to evaluate whether the biological behaviour predicts time till progression (TTP), as reliable parameter of the quality of response (QR). Methods: In 106 consecutive courses of different schedules of CT given along 3 years in our Hospital to 55 patients with progressive MBC, we conducted a prospective trial analysing these 4 CTM every 3 weeks before CT infusions and performing CTM concentration / time curves. TTP was calculated by Kaplan Meier method -SPSS 11-. Bio kinetic change has been defined as a lineal slope that includes 2 early and consecutive changes of at least 25% of CTM start value. The analysis covered 604 cycles, 405 curves and 2417 marker determinations. Results: Ninety six per cent of the cases have progressed after their CT courses. In CTM expressing diseases, and sometimes after a no more than 3 weeks paradoxical period, three biological patterns could be detected according to directional possibilities: progressive elevation (Bio P), progressive download (Bio R) and stabilization -without bio kinetic change- (Bio S). Table shows the TTP median values in the different group of cases with the same CTM Bio response patterns; Biological Patterns and TTP Kaplan Meier curves will be shown as a Poster at the meeting. Conclusions: In CTM expressing tumours and taking into account simple kinetics criteria, the dynamic analysis of CTM before infusions can early estimates TTP, adding complemmentary information to the disease control prediction in the evaluation of the QR during the CT of MBC. [Table: see text] No significant financial relationships to disclose.
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Valkenberg, Pim. "Radical Love: Teachings from the Islamic Mystical Tradition." American Journal of Islamic Social Sciences 36, no. 4 (October 1, 2019): 119–21. http://dx.doi.org/10.35632/ajiss.v36i4.665.

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Collections of poems from the Islamic mystical tradition are not at all unusual on the American market. Yet most of these collections have been published by presses that specialize in spirituality, so it is quite remarkable to see this collection of poetry translated and edited by Omid Safi being published by Yale University Press. Safi is a Professor of Islamic Studies in the Department of Asian and Middle Eastern Studies at Duke University in North Carolina, and he is author of numerous books such as Progressive Muslims (2003), The Politics of Knowledge in Premodern Islam (2006) and Memories of Muhammad: Why the Prophet Matters (2009). Yet he is prob-ably better known as a public intellectual through his blogs and columns. To download full review, click on PDF.
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Dar, Owais Manzoor. "Mediating Islam and Modernity: Sir Syed, Iqbal, and Azad." American Journal of Islamic Social Sciences 36, no. 4 (October 1, 2019): 128–31. http://dx.doi.org/10.35632/ajiss.v36i4.667.

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The question of Islam’s compatibility with modernity (and other interrelated aspects like democracy, rationality, nationalism, etc.) has been debated for more than two centuries. In the Subcontinent, this debate started with British imperialism (the so-called British Raj, 1857-1947). Scholars like Chirag Ali (d. 1895), Sir Syed Ahmad Khan (d. 1898), Allama Iqbal (d. 1938), Abul Kalam Azad (d. 1958), Shibli Numani (d. 1914), Mumtaz Ali (d. 1974), Syed Mawdudi (d. 1979), Amin Ihsan Islahi (d. 1997), and Abul Hassan Ali Nadwi (d. 1999) offered various critical responses. The debate still manifests in different forms, whether regarding nationalism or secularism, rationality or progressive politics. A plethora of mostly apologetic literature has been produced on the question. A recent addition to this literature is Parray’s Mediating Islam and Modernity. To download full review, click on PDF.
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Dar, Owais Manzoor. "Mediating Islam and Modernity." American Journal of Islam and Society 36, no. 4 (October 1, 2019): 128–31. http://dx.doi.org/10.35632/ajis.v36i4.667.

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The question of Islam’s compatibility with modernity (and other interrelated aspects like democracy, rationality, nationalism, etc.) has been debated for more than two centuries. In the Subcontinent, this debate started with British imperialism (the so-called British Raj, 1857-1947). Scholars like Chirag Ali (d. 1895), Sir Syed Ahmad Khan (d. 1898), Allama Iqbal (d. 1938), Abul Kalam Azad (d. 1958), Shibli Numani (d. 1914), Mumtaz Ali (d. 1974), Syed Mawdudi (d. 1979), Amin Ihsan Islahi (d. 1997), and Abul Hassan Ali Nadwi (d. 1999) offered various critical responses. The debate still manifests in different forms, whether regarding nationalism or secularism, rationality or progressive politics. A plethora of mostly apologetic literature has been produced on the question. A recent addition to this literature is Parray’s Mediating Islam and Modernity. To download full review, click on PDF.
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12

Salama, Ramiz, Ayman Okal, and Krell Chiprausha. "Development of application for software piracy protection from hackers attacks." New Trends and Issues Proceedings on Humanities and Social Sciences 6, no. 6 (December 6, 2019): 81–91. http://dx.doi.org/10.18844/prosoc.v6i6.4470.

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Recently, programming theft has been a serious issue for programming ventures and extremely huge costs were required to secure their applications. As per Business Software Alliance, the worldwide programming theft rate in 2013 was 43% and the business estimation of unlicensed programming establishments was $62.7 billion, which brought about a large loss in income and a number positions in programming organisations. This paper will exhibit that ‘programming robbery insurance framework’ is mostly used to secure the theft of the framework. Presently, a progressive number of clients download the product without having the consent of the product’s proprietor since the product has the item key which can be located/used by an obscure individual to utilise that product. Our methodology will utilise ‘Macintosh-based confirmation’ and create an item key, which checks or compares the item key against a unique MAC address on each machine. Keywords: Copyright protection, software piracy prevention, identification, authentication, intellectual property protection, diversity, tailored updates.
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Iadanza, Carla, Alessandro Trigila, Paolo Starace, Alessio Dragoni, Tommaso Biondo, and Marco Roccisano. "IdroGEO: A Collaborative Web Mapping Application Based on REST API Services and Open Data on Landslides and Floods in Italy." ISPRS International Journal of Geo-Information 10, no. 2 (February 20, 2021): 89. http://dx.doi.org/10.3390/ijgi10020089.

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The new national IdroGEO web platform allows the navigation, social sharing and download of data, maps, reports of the Italian Landslide Inventory, national hazard maps, and risk indicators. It is a tool for communication and dissemination of information to support decisions in risk mitigation policies, land use planning, preliminary design of infrastructures, prioritization of mitigation measures, management of civil protection emergencies, and environmental impact assessment. The challenges that have been faced during the design and development of the platform concern usability, access on multiple devices (smartphones, tablets, desktops), interoperability, transparency, reuse of information and software in the public sector, and improvement of the updating of the Italian Landslide Inventory. The methodologies and solutions adopted to address them include Progressive Web Application (PWA), Application Programming Interface (API), open standards, open libraries, and software. A landslide inventory management system has been developed via REST API for data entry and approval workflow in order to maintain the inventory in a distributed and collaborative manner. As a result, IdroGEO provides a public service for citizens, public administration, and professionals, using the “mobile first” approach and with scalable and reliable architecture. IdroGEO represents a solid infrastructure for the interoperability of data that serves as the foundation for creating a first knowledge-graph on landslides and the community who manages them.
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14

Boué, Stéphanie, Brett Fields, Julia Hoeng, Jennifer Park, Manuel C. Peitsch, Walter K. Schlage, Marja Talikka, et al. "Enhancement of COPD biological networks using a web-based collaboration interface." F1000Research 4 (January 29, 2015): 32. http://dx.doi.org/10.12688/f1000research.5984.1.

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The construction and application of biological network models is an approach that offers a holistic way to understand biological processes involved in disease. Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease of the airways for which therapeutic options currently are limited after diagnosis, even in its earliest stage. COPD network models are important tools to better understand the biological components and processes underlying initial disease development. With the increasing amounts of literature that are now available, crowdsourcing approaches offer new forms of collaboration for researchers to review biological findings, which can be applied to the construction and verification of complex biological networks. We report the construction of 50 biological network models relevant to lung biology and early COPD using an integrative systems biology and collaborative crowd-verification approach. By combining traditional literature curation with a data-driven approach that predicts molecular activities from transcriptomics data, we constructed an initial COPD network model set based on a previously published non-diseased lung-relevant model set. The crowd was given the opportunity to enhance and refine the networks on a website (https://bionet.sbvimprover.com/) and to add mechanistic detail, as well as critically review existing evidence and evidence added by other users, so as to enhance the accuracy of the biological representation of the processes captured in the networks. Finally, scientists and experts in the field discussed and refined the networks during an in-person jamboree meeting. Here, we describe examples of the changes made to three of these networks: Neutrophil Signaling, Macrophage Signaling, and Th1-Th2 Signaling. We describe an innovative approach to biological network construction that combines literature and data mining and a crowdsourcing approach to generate a comprehensive set of COPD-relevant models that can be used to help understand the mechanisms related to lung pathobiology. Registered users of the website can freely browse and download the networks.
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15

Boué, Stéphanie, Brett Fields, Julia Hoeng, Jennifer Park, Manuel C. Peitsch, Walter K. Schlage, Marja Talikka, et al. "Enhancement of COPD biological networks using a web-based collaboration interface." F1000Research 4 (May 20, 2015): 32. http://dx.doi.org/10.12688/f1000research.5984.2.

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The construction and application of biological network models is an approach that offers a holistic way to understand biological processes involved in disease. Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease of the airways for which therapeutic options currently are limited after diagnosis, even in its earliest stage. COPD network models are important tools to better understand the biological components and processes underlying initial disease development. With the increasing amounts of literature that are now available, crowdsourcing approaches offer new forms of collaboration for researchers to review biological findings, which can be applied to the construction and verification of complex biological networks. We report the construction of 50 biological network models relevant to lung biology and early COPD using an integrative systems biology and collaborative crowd-verification approach. By combining traditional literature curation with a data-driven approach that predicts molecular activities from transcriptomics data, we constructed an initial COPD network model set based on a previously published non-diseased lung-relevant model set. The crowd was given the opportunity to enhance and refine the networks on a website (https://bionet.sbvimprover.com/) and to add mechanistic detail, as well as critically review existing evidence and evidence added by other users, so as to enhance the accuracy of the biological representation of the processes captured in the networks. Finally, scientists and experts in the field discussed and refined the networks during an in-person jamboree meeting. Here, we describe examples of the changes made to three of these networks: Neutrophil Signaling, Macrophage Signaling, and Th1-Th2 Signaling. We describe an innovative approach to biological network construction that combines literature and data mining and a crowdsourcing approach to generate a comprehensive set of COPD-relevant models that can be used to help understand the mechanisms related to lung pathobiology. Registered users of the website can freely browse and download the networks.
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16

McKenzie, Jordi, and W. David Walls. "File Sharing and Film Revenues: Estimates of Sales Displacement at the Box Office." B.E. Journal of Economic Analysis & Policy 16, no. 1 (January 1, 2016): 25–57. http://dx.doi.org/10.1515/bejeap-2015-0004.

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Abstract This study examines the impact of peer-to-peer (P2P) file sharing on the Australian theatrical film industry. Using a large data set of torrent downloads observed on three popular P2P networks, we find evidence of a sales displacement effect on box office revenues. However, although statistically significant, the economic significance of this displacement appears relatively small. To establish causality, we make use of the state-day-level panel data structure permitting the use of film fixed effects to help mitigate the endogeneity between film revenues and downloads. To further assist identification, we propose a downloading cost function that considers other states’ downloading activities as a proxy for the number of peers in the download swarm; the US DVD release date as a supply shock to P2P networks; and the substantial structural progression within the Australian internet service provision industry that occurred over the sample period. We observe that the release gap between the US and Australian markets is a key contributor to piracy early in a film’s theatrical life. This finding provides a partial explanation for the industry’s move towards coordinated worldwide releases.
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Oduor, Mercy, Kelvin Manyega, Therese Lotodo, Austin Okuku, Diana Namaemba, Lorraine Oyolo, John Oguda, and Terry A. Vik. "Patient-reported barriers to online meetings: The case of a myeloma support group in western Kenya in the era of COVID-19." Journal of Clinical Oncology 39, no. 15_suppl (May 20, 2021): e24036-e24036. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e24036.

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e24036 Background: Multiple myeloma is a chronic progressive disease that calls for extended survivorship support post-diagnosis. Pre- COVID-19, the AMPATH Multiple Myeloma Program had created support groups for myeloma survivors and their caregivers that regularly met for health education, emotional support, and social opportunities. With the enforcement COVID-19 prevention and control protocols physical support group meetings became impossible. The program shifted to the online platform to sustain peer to peer support for myeloma patients and caregivers. We aim to describe challenges faced with online patient support group meetings as this has not been well documented in a resource-constrained setting. Methods: Myeloma patients and caregivers at Moi Teaching and Referral Hospital were contacted and a meeting date and time agreed. Participants were briefed on how to download and operate the zoom application in preparation for online meetings. A meeting link was shared with the expected attendees and a reminder sent two days before a meeting. Support group meetings were held for different groups among them myeloma survivors and caregivers. The meeting sessions were led by healthcare professionals – hematology consultants, social workers, nutritionist and psychosocial counsellors. Peer-to-peer sessions were also held. Results: Six online meeting sessions were held between June 2020 and December 2020. A total of 199 participants were expected to join the six different meetings but a low meeting turn-out of 25.6% was experienced. Participants were later contacted to unravel the reasons for a low turn-out. A total of 129 participants were contacted of which 88 responded. Out of the 88 respondents, 29% reported a tight work schedule, 25% short time meeting alerts, 20% did not have access to smartphones, and 8% had poor internet connectivity and another 8% reported no internet data bundles to connect to the internet. Conclusions: Low attendance of online meetings was observed. Participants cited scheduling and internet access as major obstacles to attending online support group meetings. Improved access to the internet through smartphones, reliable internet connection, and affordable data are needed in underserved communities to fully unlock the benefits of virtual platforms namely cost savings and effective information sharing.
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Diaz-Abad, Montserrat, and John Edward Brown. "Use of volume-targeted non-invasive bilevel positive airway pressure ventilation in a patient with amyotrophic lateral sclerosis,." Jornal Brasileiro de Pneumologia 40, no. 4 (August 2014): 443–47. http://dx.doi.org/10.1590/s1806-37132014000400013.

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Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease in which most patients die of respiratory failure. Although volume-targeted non-invasive bilevel positive airway pressure (BPAP) ventilation has been studied in patients with chronic respiratory failure of various etiologies, its use in ALS has not been reported. We present the case of a 66-year-old woman with ALS and respiratory failure treated with volume-targeted BPAP ventilation for 15 weeks. Weekly data downloads showed that disease progression was associated with increased respiratory muscle weakness, decreased spontaneous breathing, and increased use of non-invasive positive pressure ventilation, whereas tidal volume and minute ventilation remained relatively constant.
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Cao, Manjing, Sha Wang, Jing Zou, and Wanpeng Wang. "Bioinformatics analyses of retinoblastoma reveal the retinoblastoma progression subtypes." PeerJ 8 (May 21, 2020): e8873. http://dx.doi.org/10.7717/peerj.8873.

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Introduction Retinoblastoma (RB) is one common pediatric malignant tumor with dismal outcomes. Heterogeneity of RB and subtypes of RB were identified but the association between the subtypes of RB and RB progression have not been fully investigated. Methods Four public datasets were downloaded from Gene expression omnibus and normalization was performed to remove batch effect. Two public datasets were explored to obtain the RB progression gene signatures by differentially expression analysis while another two datasets were iterated for RB subtypes identification using consensus clustering. After the RB progressive subtype gene signatures were identified, we tested the diagnostic capacity of these gene signatures by receiver operation curve. Results Three hundreds and forty six genes that were enriched in cell cycle were identified as the progression signature in RB from two independent datasets. Four subtypes of RB were stratified by consensus clustering. A total of 21 genes from RB progression signature were differentially expressed between RB subtypes. One subtype with low expression cell division genes have less progression of all four subtypes. A panel of five RB subtype genes (CLUL1, CNGB1, ROM1, LRRC39 and RDH12) predict progression of RB. Conclusion Retinoblastoma is a highly heterogeneous tumor and the level of cell cycle related gene expression is associated with RB progression. A subpopulation of RB with high expression of visual perception has less progressive features. LRRC39 is potentially the RB progression subtype biomarker.
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Maria Orizani, Chindy. "PENGEMBANGAN INTERVENSI PERAWATAN LUKA PADA FOURNIER GANGRENE DENGAN MENGGUNAKAN NEGATIVE PRESSURE WOUND CARE BERDASARKAN COMFORT THEORY." Adi Husada Nursing Journal 1, no. 2 (December 14, 2015): 10. http://dx.doi.org/10.37036/ahnj.v1i2.13.

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ABSTRAKFournier's gangrene merupakan fasciitis nekrotikans yang progresif pada daerah penis, skrotum, dan perineum dan memiliki potensi fatal dengan angka mortalitas tinggi dan termasuk dalam kasus kegawatdaruratan bedah dan urologi. Negative Pressure Wound Care merupakan perawatan luka pada pasien dengan Fournier’s Gangrene sebelum dilakukan debridemen dan digunakan sebagai metode untuk menurunkan nyeri dan meningkatkan kenyamanan klien. Tujuan dari studi ini adalah untuk melakukan analisis intervensi perawatan luka pada Fournier’s gangrene dengan menggunakan Negative Pressure Wound Care berdasar teori Comfort. Pencarian literatur yang relevan, dilakukan dengan mengakses database PubMed, ScienceDirect, dan SAGEPub dibatasi dari Januari 2006 sampai dengan Oktober 2015. Keywords yang digunakan adalah “Fournier’s gangrene”, “negative pressure wound therapy”, “Vacuum-assisted closure”, “chronic wound therapy”. Negative pressure wound therapy sangat efektif untuk mengontrol drainage luka setelah debridemen, mempermudah granulasi luka dan menurunkan penggunaan kasa/dressing luka dan proses perawatan dapat menimbulkan rasa nyaman bagi klien dibandingkan perawatan lain. Negative pressure wound therapy merupakan aplikasi tindakan keperawatan yang berdasarkan teori comfort yaitu meningkatkan kenyamanan klien dengan menurunkan tingkat nyeri yang dirasakan klien sehingga meningkatkan kualitas hidup klien. Kata kunci: Fournier’s gangrene, negative pressure wound therapy, penyembuhan luka ABSTRACTFournier's gangrene is a progressive necrotizing fasciitis in the area of the penis, scrotum, and perineum and potentially fatal disease with a high mortality rate and included in the case of emergency surgery and urology. Negative Pressure Wound Care is a wound care in patients with Fournier's Gangrene before debridement and used as a method to reduce pain and increase the comfort of the client. The aim of this study was to analyzed the wound care interventions on Fournier gangrene using Negative Pressure Wound Care on the Comfort theory. Search methods relevant literature, performed by accessing the databases PubMed, ScienceDirect, and SAGEPub restricted from January 2006 to October 2015. Keywords used were "Fournier's gangrene", "negative pressure wound therapy", "Vacuum-assisted closure", "chronic wound therapy ". Negative pressure wound therapy is very effective for controlling wound drainage after debridement, wound granulation simplify and reduce the use of gauze / dressing wounds and the treatment process may cause a sense of comfort for the client than other treatments. Negative pressure wound therapy is the application of nursing actions based on the comfort theory which can improve client comfort by lowering the level of pain felt by clients thus improving quality of life for clients. Keywords: Fournier’s gangrene, negative pressure wound therapy, wound healing DOWNLOAD FULL TEXT PDF >>
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Xin, Guangda, Guangyu Zhou, Wenlong Zhang, and Xiaofei Zhang. "Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease." International Journal of Genomics 2020 (November 12, 2020): 1–12. http://dx.doi.org/10.1155/2020/7524057.

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Background. Chronic kidney disease (CKD) is characterized by progressive renal function loss, which may finally lead to end-stage renal disease (ESRD). The study is aimed at identifying crucial genes related to CKD progressive and constructing a disease prediction model to investigate risk factors. Methods. GSE97709 and GSE37171 datasets were downloaded from the GEO database including peripheral blood samples from subjects with CKD, ESRD, and healthy controls. Differential expressed genes (DEGs) were identified and functional enrichment analysis. Machine learning algorithm-based prediction model was constructed to identify crucial functional feature genes related to ESRD. Results. A total of 76 DEGs were screened from CDK vs. normal samples while 10,114 DEGs were identified from ESRD vs. CDK samples. For numerous genes related to ESRD, several GO biological terms and 141 signaling pathways were identified including markedly upregulated olfactory transduction and downregulated platelet activation pathway. The DEGs were clustering in three modules according to WGCNA access, namely, ME1, ME2, and ME3. By construction of the XGBoost model and dataset validation, we screened cohorts of genes associated with progressive CKD, such as FZD10, FOXD4, and FAM215A. FZD10 represented the highest score ( F score = 21) in predictive model. Conclusion. Our results demonstrated that FZD10, FOXD4, PPP3R1, and UCP2 might be critical genes in CKD progression.
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Li, Jian, Yunfeng Zhang, and Songye Zhu. "A wavelet-based structural damage assessment approach with progressively downloaded sensor data." Smart Materials and Structures 17, no. 1 (December 11, 2007): 015020. http://dx.doi.org/10.1088/0964-1726/17/01/015020.

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Peterson, Michael P. "The Application Programmer Interface (API) in Modern Cartography: Development and Prospects." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-297-2019.

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<p><strong>Abstract.</strong> Application Programmer Interfaces have been a part of the cartographic landscape since 2006 with the introduction of the Google Maps API. Essentially a library of code that provides access to a variety of mapping functions, APIs have since been the basis of online, tile-based, Multiscale Pannable (MSP) mapping. While the Google Maps API is still the most widely used with more than 4.6 billion websites embedding a Google Map, a variety of other mapping APIs have been introduced primarily to circumvent Google’s pricing structure.</p><p>The cost for using Google Maps on websites has changed over the years. From 2005 to 2011, the use of Google Maps was free no matter how many maps were referenced by a website. From then to 2016, Google limited map downloads to 25,000 map loads a day for 90 consecutive days. In 2016, the 90 consecutive days was removed so the number of maps downloaded could not exceed 25,000 on any given day. If it did, the website developer needed to register their site and pay a fee for maps produced over this limit.</p><p>In April 2018, Google announced the launch of a new name for the Google Maps API – Google Maps Platform – and a new pricing plan. A free tier continues to be offered through a US $200 monthly credit but now requires creating an account and entering a credit card number. In this new online platform, it is still possible to use the Google Maps API without incurring any cost by limiting the number of daily downloads so that the monthly quota of 28,000 map downloads is not exceeded.</p><p>The problem is not the use of the Google Maps API but the Google map tiles. The look of maps from Google and the associated interface have become so popular that users avoid using other kinds of maps – even those from Apple. Users complain that the tiles from other vendors implement a different color scheme or highlight different features. They also complain that these maps appear more slowly. While other APIs can use Google Map tiles, including the popular Leaflet API, their use is still subject to the same pricing structure.</p><p>With the help of the Internet, maps from Google have become the standard maps. All other renditions of the world are seen to be inferior and not worthy of examination. They are simply interesting oddities. While some can adapt to alternative representations, most choose not to. This Google Map phenomena is examined along with lessons from the historical progression of online mapping.</p>
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Zeeshan, Saman, Ruoyun Xiong, Bruce T. Liang, and Zeeshan Ahmed. "100 Years of evolving gene–disease complexities and scientific debutants." Briefings in Bioinformatics 21, no. 3 (April 11, 2019): 885–905. http://dx.doi.org/10.1093/bib/bbz038.

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AbstractIt’s been over 100 years since the word `gene’ is around and progressively evolving in several scientific directions. Time-to-time technological advancements have heavily revolutionized the field of genomics, especially when it’s about, e.g. triple code development, gene number proposition, genetic mapping, data banks, gene–disease maps, catalogs of human genes and genetic disorders, CRISPR/Cas9, big data and next generation sequencing, etc. In this manuscript, we present the progress of genomics from pea plant genetics to the human genome project and highlight the molecular, technical and computational developments. Studying genome and epigenome led to the fundamentals of development and progression of human diseases, which includes chromosomal, monogenic, multifactorial and mitochondrial diseases. World Health Organization has classified, standardized and maintained all human diseases, when many academic and commercial online systems are sharing information about genes and linking to associated diseases. To efficiently fathom the wealth of this biological data, there is a crucial need to generate appropriate gene annotation repositories and resources. Our focus has been how many gene–disease databases are available worldwide and which sources are authentic, timely updated and recommended for research and clinical purposes. In this manuscript, we have discussed and compared 43 such databases and bioinformatics applications, which enable users to connect, explore and, if possible, download gene–disease data.
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SIRAJ, Md Sanwar. "Beyond Western Conservatives and Progressive Liberals: A Moderate Islamic View." International Journal of Chinese & Comparative Philosophy of Medicine 12, no. 2 (January 1, 2014): 135–39. http://dx.doi.org/10.24112/ijccpm.121577.

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LANGUAGE NOTE | Document text in EnglishProfessor David Solomon examines the cultural conflicts and conflicts in bioethics in the United States. Conservative Christians wish to establish a Western account of bioethics based on their religious view of dignity. In contrast, progressive liberals argue that bioethics should be based on pure reason or rational arguments, regardless of the features of any particular religion or culture. The aim of this commentary is to show that the cultural conflicts and divisions that afflict bioethical debate in Bangladesh are very similar to those in the United States. Moderate Muslims wish to maintain the core values of their Muslim culture and at the same time benefit from the modern development of science and technology. In contrast, progressive liberals, influenced by modern Western traditions, have sought to establish a moral philosophy based on secular reason in the Muslim country of Bangladesh. However, this individualist Western approach is at odds with the Muslim culture of Bangladesh, where non-individualist values are prevalent. In this commentary, it is also contended that the progressive liberals are unreasonably ambitious in attempting to establish universal bioethical norms for Muslim culture regardless of cultural differences.DOWNLOAD HISTORY | This article has been downloaded 46 times in Digital Commons before migrating into this platform.
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Rahmawati, Rika Vennia, and Eri Kurniawan. "THEMATIC PROGRESSION ANALYSIS IN INDONESIAN EFL STUDENTS� THESIS ABSTRACTS." Indonesian EFL Journal 1, no. 1 (September 12, 2017): 81. http://dx.doi.org/10.25134/ieflj.v1i1.617.

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This study examines thematic progression in thesis abstracts written by English students in Indonesia University of Education. This study employs a descriptive qualitative method since it attempts to describe and analyze textual data accurately. The data for this study come from repository.upi.edu. Five undergraduate students� thesis abstracts were downloaded from the website published in 2014. After gathering the data, a thematic progression theory proposed by Fries (2002) is employed to analyze the data. Findings show that constant theme is the type of thematic progression that is mostly used the thesis abstracts by 52.64%. The linear theme and split rheme thematic progression pattern are also found in the abstracts. However, split rheme is found only once. Among the problems the students have probably encountered are how to write a coherent abstract and to create an appropriate logical relation among sentences in their writing. This study concludes that the students� thesis abstracts mostly use constant theme pattern, which suggests their writing is not quite well-arranged. Since an abstract should be written in more or less 200 words and it should represent the important information of the research, students may be confused as to how to summarize their research into 200 words.Keywords: thesis abstracts, thematic progression, English students
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Rakhmatiar, Rodhiyan, Mulyohadi Ali, and M. Dalhar. "Acreditation Certificate Acreditation No. 21/E/KPT/2018 Article Tools Print this article Indexing metadata How to cite item Email this article Email the author About The Authors Rodhiyan Rakhmatiar Faculty of Medicine, University of Brawijaya Indonesia Neurology Department Mulyohadi Ali Faculty of Medicine, University of Brawijaya Pharmacology Department M. Dalhar Faculty of Medicine, University of Brawijaya Neurology Department About RJLS Aim and Scope Editorial Board Reviewer Acknowledgement Publication Ethics Visitor Statistic Information for Author Author Guidelines (online version) Online Submission Guideline Online Registration Author Fees Download Template User You are logged in as... riris_rjlsub My Profile Log Out Tools Mendeley User Guide Insert Citation using Mendeley Journal Index Visitor Statistic Notifications View (240 new) Manage Journal Content Search Search Scope Browse By Issue By Author By Title Information For Readers For Authors For Librarians Keywords Acute Coronary Syndrome Antioxidant Avicennia marina Bali Strait Bioremediation CODIS 13 DPPH Eucheuma cottonii ICP11 Litopenaeus vannamei Macrobrachium rosenbergii Morphology Pandanus Physalis minima RFLP SOD Sardinella lemuru WSSV birth weight fermentation rats Effect of Centella asiatica Extract on Locomotor Activity and Hsp60 Expression in Zebrafish models of Parkinsons." Research Journal of Life Science 7, no. 3 (December 1, 2020): 115–24. http://dx.doi.org/10.21776/ub.rjls.2020.007.03.1.

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Parkinson's disease characterized by a decrease in motor activity is a progressive neurodegenerative disorder caused by the degeneration of dopaminergic neurons. Centella asiatica is suspected of having a neuroprotectant effect and is not yet known how Centella asiatica role in the prevention of Parkinson's disease. The study was conducted to prove the effect of Centella asiatica extract on the expression of Hsp60 and locomotor activity zebrafish models of Parkinson's with rotenone exposure. The study was conducted using 25 zebrafish divided into various groups. Centella asiatica extract and rotenone exposure have given for 28 days, observed locomotor activity on days 0, 7, 14, 21 and 28. The expression of Hsp60 measured using immunohistochemical techniques. There is a significant difference between locomotor activity at various doses of Centella asiatica (p<0.05) with a very strong correlation (r=0.929; p<0.01) where the higher doses of Centella asiatica, the higher locomotor activity. Found a significant difference between the reduced expression of Hsp60 to various Centella asiatica dose group (p<0.05) but no correlation between the expression of Hsp60 with Centella asiatica dose groups and locomotor activity. Centella asiatica extract is able to increase locomotor activity and decrease the expression of Hsp60 in zebrafish models of Parkinson's.
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Zhang, Mengyi, and Binhan Guo. "Use of bioinformatic analyses in identifying characteristic genes and mechanisms active in the progression of idiopathic thrombocytopenic purpura in individuals with different phenotypes." Journal of International Medical Research 48, no. 11 (November 2020): 030006052097143. http://dx.doi.org/10.1177/0300060520971437.

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Objective To explore the mechanism underlying the progression of newly diagnosed idiopathic thrombocytopenic purpura (ITP) to its chronic or remission state using bioinformatic methods. Methods GSE56232 and GSE46922 gene expression profile datasets were downloaded from Gene Expression Omnibus (GEO). Differentially expressed genes were identified and characteristic genes were screened by weighted gene co-expression network analysis. These genes were used for function enrichment analysis and construction of a protein–protein interaction network. Finally, characteristic genes were verified to determine potential molecular mechanisms underlying ITP progression. Results We found that characteristic genes in the chronic ITP group were mainly involved in intracellular processes and ion binding, while characteristic genes in the remission ITP group were involved in intracellular processes and nuclear physiological activities. We identified a sub-network of characteristic genes, LMNA, JUN, PRKACG, SMC3, which may indicate the mechanism by which newly diagnosed ITP progresses to chronic. Although no meaningful signaling pathways were found, the expression of NR3C1, TPR, SMC4, PANBP2, CHD1, and U2SURP may affect ITP progression from newly diagnosed to remission. Conclusion Our findings improve the understanding of the pathogenesis and progression of ITP, and may provide new directions for the development of treatment strategies.
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Xia, Wang-Xiao, Qin Yu, Gong-Hua Li, Yao-Wen Liu, Fu-Hui Xiao, Li-Qin Yang, Zia Ur Rahman, Hao-Tian Wang, and Qing-Peng Kong. "Identification of four hub genes associated with adrenocortical carcinoma progression by WGCNA." PeerJ 7 (March 14, 2019): e6555. http://dx.doi.org/10.7717/peerj.6555.

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Background Adrenocortical carcinoma (ACC) is a rare and aggressive malignant cancer in the adrenal cortex with poor prognosis. Though previous research has attempted to elucidate the progression of ACC, its molecular mechanism remains poorly understood. Methods Gene transcripts per million (TPM) data were downloaded from the UCSC Xena database, which included ACC (The Cancer Genome Atlas, n = 77) and normal samples (Genotype Tissue Expression, n = 128). We used weighted gene co-expression network analysis to identify gene connections. Overall survival (OS) was determined using the univariate Cox model. A protein–protein interaction (PPI) network was constructed by the search tool for the retrieval of interacting genes. Results To determine the critical genes involved in ACC progression, we obtained 2,953 significantly differentially expressed genes and nine modules. Among them, the blue module demonstrated significant correlation with the “Stage” of ACC. Enrichment analysis revealed that genes in the blue module were mainly enriched in cell division, cell cycle, and DNA replication. Combined with the PPI and co-expression networks, we identified four hub genes (i.e., TOP2A, TTK, CHEK1, and CENPA) that were highly expressed in ACC and negatively correlated with OS. Thus, these identified genes may play important roles in the progression of ACC and serve as potential biomarkers for future diagnosis.
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Ruth, Mieke Sylvia Margaretha Amiatun, Novita, Levina Gita, Arofi Kurniawan, and Haryono Utomo. "Age Estimation with Smartphone: Is It Reliable for Forensics Identification?" Dentika Dental Journal 23, no. 2 (November 30, 2020): 34–38. http://dx.doi.org/10.32734/dentika.v23i2.4494.

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Age estimation is one of the important components in forensic science used for personal identification, biological profile reconstruction, and help narrowing the search possibilities. Age estimation can be done by various methods and biological evidence, such as the human face. The human face is one of biometrics that provides a variety of information. The purpose of this article is to evaluate the accuracy and reliability of age estimation with face using smartphone for forensic identification based on previous studies and experiences. Age estimation by face is based on age progression that causes attrition and degeneration on soft tissue. With the development of technology, age estimation by face can be done with applications or websites on smartphone. In general, the utilization of smartphone can reduce waste, pollution, research cost and easier to save and share. A lot of applications have been developed and free to download. Unfortunately, the accuracy of its results is unknown. In conclusion, the applications for age estimation on smartphone give quiet good results and can be used as a supporting tool to estimate age in forensic identification.
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Hou, Yilong, Hanjun Qin, Nan Jiang, Guanqiao Liu, Hangtian Wu, Lang Bai, Bin Yu, and Xianrong Zhang. "G-CSF partially mediates bone loss induced by Staphylococcus aureus infection in mice." Clinical Science 133, no. 12 (June 2019): 1297–308. http://dx.doi.org/10.1042/cs20181001.

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AbstractBone loss in Staphylococcus aureus (S. aureus) osteomyelitis poses a serious challenge to orthopedic treatment. The present study aimed to elucidate how S. aureus infection in bone might induce bone loss. The C57BL/6 mice were injected with S. aureus (106 CFU/ml, 100 μl) or with the same amount of vehicle (control) via the tail vein. Microcomputed tomography (microCT) analysis showed bone loss progressing from week 1 to week 5 after infection, accompanied by a decreased number of osteocalcin-positive stained osteoblasts and the suppressed mRNA expression of Runx2 and osteocalcin. Transcriptome profiles of GSE30119 were downloaded and analyzed to determine the differences in expression of inflammatory factors between patients with S. aureus infected osteomyelitis and healthy controls, the data showed significantly higher mRNA expression of granulocyte colony-stimulating factor (G-CSF) in the whole blood from patients with S. aureus infection. Enzyme-linked immunosorbent assay (ELISA) analysis confirmed an increased level of G-CSF in the bone marrow and serum from S. aureus infected mice, which might have been due to the increased amount of F4/80+ macrophages. Interestingly, G-CSF neutralizing antibody treatment significantly rescued the bone loss after S. aureus infection, as evidenced by its roles in improving BV/TV and preserving osteocalcin- and osterix-positive stained cells. Importantly, we found that G-CSF level was significantly up-regulated in the serum from osteomyelitis patients infected by S. aureus. Together, S. aureus infection might suppress the function of osteoblastic cells and induce progressive bone loss by up-regulating the level G-CSF, suggesting a therapeutic potential for G-CSF neutralization in combating bone loss in S. aureus osteomyelitis.
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Schetelig, Johannes, Anja van Biezen, Ronald Brand, Dolores Caballero, Rodrigo Martino, Maija Itala, José A. García-Marco, et al. "Allogeneic Hematopoietic Stem-Cell Transplantation for Chronic Lymphocytic Leukemia With 17p Deletion: A Retrospective European Group for Blood and Marrow Transplantation Analysis." Journal of Clinical Oncology 26, no. 31 (November 1, 2008): 5094–100. http://dx.doi.org/10.1200/jco.2008.16.2982.

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Purpose Patients with chronic lymphocytic leukemia (CLL) and 17p deletion (17p–) have a poor prognosis. Although allogeneic hematopoietic stem-cell transplantation (HCT) has the potential to cure patients with advanced CLL, it is not known whether this holds true for patients with 17p–CLL. Patients and Methods Baseline data from patients, for whom information on the presence of 17p–CLL was available, were downloaded from the European Group for Blood and Marrow Transplantation database. Additional information on the course of CLL and follow-up was collected with a questionnaire. Results A total of 44 patients with 17p–CLL received allogeneic HCT between March 1995 and July 2006 from a matched sibling (n = 24) or an alternative donor (n = 20). 17p–CLL had been diagnosed by fluorescent in situ hybridization in 82% of patients and by conventional banding in 18% of patients. The median age was 54 years. Before HCT, a median of three lines of chemotherapy had been administered. At HCT, 53% of patients were in remission. Reduced-intensity conditioning was applied in 89% of patients. Acute, grade 2 to 4 graft-versus-host disease (GVHD) occurred in 43% of patients, and extensive chronic GVHD occurred in 53% of patients. At last follow-up, 19 patients were alive, with a median observation time of 39 months (range, 18 to 101 months). Three-year overall survival and progression-free survival rates were 44% and 37%, respectively. The cumulative incidence of progressive disease at 4 years was 34%. No late relapse occurred in nine patients with a follow-up longer than 4 years. Conclusion Allogeneic HCT has the potential to induce long-term disease-free survival in patients with 17p–CLL.
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Zheng, Ming-Jun, Rui Gou, Wen-Chao Zhang, Xin Nie, Jing Wang, Ling-Ling Gao, Juan-Juan Liu, Xiao Li, and Bei Lin. "Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network." PeerJ 6 (December 10, 2018): e6091. http://dx.doi.org/10.7717/peerj.6091.

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Objective This study aims to reveal the regulation network of lncRNAs-miRNAs-mRNA in endometrial carcinoma (EC), to investigate the underlying mechanisms of EC occurrence and progression, to screen prognostic biomarkers. Methods RNA-seq and miRNA-seq data of endometrial carcinoma were downloaded from the TCGA database. Edge.R package was used to screen differentially expressed genes. A database was searched to determine differentially expressed lncRNA-miRNA and miRNA-mRNA pairs, to construct the topological network of ceRNA, and to elucidate the key RNAs that are for a prognosis of survival. Results We screened out 2632 mRNAs, 1178 lncRNAs and 189 miRNAs that were differentially expressed. The constructed ceRNA network included 97 lncRNAs, 20 miRNAs and 73 mRNAs. Analyzing network genes for associations with prognosies revealed 169 prognosis-associated RNAs, including 92 lncRNAs, 16miRNAs and 61 mRNAs. Conclusion Our results reveal new potential mechanisms underlying the carcinogenesis and progression of endometrial carcinoma.
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Wu, Guang, Fei Wang, Kai Li, Shugen Li, Chunchun Zhao, Caibin Fan, and Jianqing Wang. "Significance of TP53 mutation in bladder cancer disease progression and drug selection." PeerJ 7 (December 16, 2019): e8261. http://dx.doi.org/10.7717/peerj.8261.

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Background The tumor protein p53 (TP53) mutant is one of the most frequent mutant genes in bladder cancer. In this study, we assessed the importance of the TP53 mutation in bladder cancer progression and drug selection, and identified potential pathways and core genes associated with the underlying mechanisms. Methods Gene expression data used in this study were downloaded from The Cancer Genome Atlas and cBioportal databases. Drug sensitivity data were obtained from the Genomics of Drug Sensitivity in Cancer. We did functional enrichment analysis by gene set enrichment analysis (GSEA) and the Database for Annotation, Visualization and Integrated Discovery (DAVID). Results We found the TP53 mutation in 50% of bladder cancer patients. Patients with the TP53 mutation were associated with a lower TP53 mRNA expression level, more advanced tumor stage and higher histologic grade. Three drugs, mitomycin-C, doxorubicin and gemcitabine, were especially more sensitive to bladder cancer with the TP53 mutation. As for the mechanisms, we identified 863 differentially expressed genes (DEGs). Functional enrichment analysis suggested that DEGs were primarily enriched in multiple metabolic progressions, chemical carcinogenesis and cancer related pathways. The protein–protein interaction network identified the top 10 hub genes. Our results have suggested the significance of TP53 mutation in disease progression and drug selection in bladder cancer, and identified multiple genes and pathways related in such program, offering novel basis for bladder cancer individualized treatment.
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Haugen, Thomas A., Paul A. Solberg, Carl Foster, Ricardo Morán-Navarro, Felix Breitschädel, and Will G. Hopkins. "Peak Age and Performance Progression in World-Class Track-and-Field Athletes." International Journal of Sports Physiology and Performance 13, no. 9 (October 1, 2018): 1122–29. http://dx.doi.org/10.1123/ijspp.2017-0682.

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The aim of this study was to quantify peak age and improvements over the preceding years to peak age in elite athletic contestants according to athlete performance level, sex, and discipline. Individual season bests for world-ranked top 100 athletes from 2002 to 2016 (14,937 athletes and 57,049 individual results) were downloaded from the International Association of Athletics Federations’ website. Individual performance trends were generated by fitting a quadratic curve separately to each athlete’s performance and age data using a linear modeling procedure. Mean peak age was typically 25–27 y, but somewhat higher for marathon and male throwers (∼28–29 y). Women reached greater peak age than men in the hurdles and middle- and long-distance running events (mean difference, ±90% CL: 0.6, ±0.3 to 1.9, ±0.3 y: small to moderate). Male throwers had greater peak age than corresponding women (1.3, ±0.3 y: small). Throwers displayed the greatest performance improvements over the 5 y prior to peak age (mean [SD]: 7.0% [2.9%]), clearly ahead of jumpers, long-distance runners, hurdlers, middle-distance runners, and sprinters (3.4, ±0.2% to 5.2, ±0.2%; moderate to large). Similarly, top 10 athletes showed greater improvements than top 11–100 athletes in all events (1.0, ±0.9% to 1.8, ±1.1%; small) except throws. Women improved more than men in all events (0.4, ±0.2% to 2.9, ±0.4%) except sprints. This study provides novel insight on performance development in athletic contestants that are useful for practitioners when setting goals and evaluating strategies for achieving success.
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ZHANG, ZEFENG, HAO LIN, and MING LI. "MANGO: MULTIPLE ALIGNMENT WITH N GAPPED OLIGOS." Journal of Bioinformatics and Computational Biology 06, no. 03 (June 2008): 521–41. http://dx.doi.org/10.1142/s0219720008003527.

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Multiple sequence alignment is a classical and challenging task. The problem is NP-hard. The full dynamic programming takes too much time. The progressive alignment heuristics adopted by most state-of-the-art works suffer from the "once a gap, always a gap" phenomenon. Is there a radically new way to do multiple sequence alignment? In this paper, we introduce a novel and orthogonal multiple sequence alignment method, using both multiple optimized spaced seeds and new algorithms to handle these seeds efficiently. Our new algorithm processes information of all sequences as a whole and tries to build the alignment vertically, avoiding problems caused by the popular progressive approaches. Because the optimized spaced seeds have proved significantly more sensitive than the consecutive k-mers, the new approach promises to be more accurate and reliable. To validate our new approach, we have implemented MANGO: Multiple Alignment with N Gapped Oligos. Experiments were carried out on large 16S RNA benchmarks, showing that MANGO compares favorably, in both accuracy and speed, against state-of-the-art multiple sequence alignment methods, including ClustalW 1.83, MUSCLE 3.6, MAFFT 5.861, ProbConsRNA 1.11, Dialign 2.2.1, DIALIGN-T 0.2.1, T-Coffee 4.85, POA 2.0, and Kalign 2.0. We have further demonstrated the scalability of MANGO on very large datasets of repeat elements. MANGO can be downloaded at and is free for academic usage.
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Buzdin, Anton. "Human-Specific Endogenous Retroviruses." Scientific World JOURNAL 7 (2007): 1848–68. http://dx.doi.org/10.1100/tsw.2007.270.

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This review focuses on a small family of human-specific genomic repetitive elements, presented by 134 members that shaped ~330 kb of the human DNA. Although modest in terms of its copy number, this group appeared to modify the human genome activity by endogenizing ~50 functional copies of viral genes that may have important implications in the immune response, cancer progression, and antiretroviral host defense. A total of 134 potential promoters and enhancers have been added to the human DNA, about 50% of them in the close gene vicinity and 22% in gene introns. For 60 such human-specific promoters, their activity was confirmed byin vivoassays, with the transcriptional level varying ~1000-fold from hardly detectable to as high as ~3% of β-actin transcript level. New polyadenylation signals have been provided to four human RNAs, and a number of potential antisense regulators of known human genes appeared due to human-specific retroviral insertional activity. This information is given here in the context of other major genomic changes underlining differences between human and chimpanzee DNAs. Finally, a comprehensive database, is available for download, of human-specific and polymorphic endogenous retroviruses is presented, which encompasses the data on their genomic localization, primary structure, encoded viral genes, human gene neighborhood, transcriptional activity, and methylation status.
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Chen, Kunqi, Bowen Song, Yujiao Tang, Zhen Wei, Qingru Xu, Jionglong Su, João Pedro de Magalhães, Daniel J. Rigden, and Jia Meng. "RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis." Nucleic Acids Research 49, no. D1 (October 3, 2020): D1396—D1404. http://dx.doi.org/10.1093/nar/gkaa790.

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Abstract Deciphering the biological impacts of millions of single nucleotide variants remains a major challenge. Recent studies suggest that RNA modifications play versatile roles in essential biological mechanisms, and are closely related to the progression of various diseases including multiple cancers. To comprehensively unveil the association between disease-associated variants and their epitranscriptome disturbance, we built RMDisease, a database of genetic variants that can affect RNA modifications. By integrating the prediction results of 18 different RNA modification prediction tools and also 303,426 experimentally-validated RNA modification sites, RMDisease identified a total of 202,307 human SNPs that may affect (add or remove) sites of eight types of RNA modifications (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G and Nm). These include 4,289 disease-associated variants that may imply disease pathogenesis functioning at the epitranscriptome layer. These SNPs were further annotated with essential information such as post-transcriptional regulations (sites for miRNA binding, interaction with RNA-binding proteins and alternative splicing) revealing putative regulatory circuits. A convenient graphical user interface was constructed to support the query, exploration and download of the relevant information. RMDisease should make a useful resource for studying the epitranscriptome impact of genetic variants via multiple RNA modifications with emphasis on their potential disease relevance. RMDisease is freely accessible at: www.xjtlu.edu.cn/biologicalsciences/rmd.
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Zhang, Dingguo, Jinjun Tian, Qier Xia, Zhenyu Yang, and Bin Gu. "Significance and Mechanisms Analyses of RB1 Mutation in Bladder Cancer Disease Progression and Drug Selection by Bioinformatics Analysis." Bladder Cancer 7, no. 2 (May 25, 2021): 133–42. http://dx.doi.org/10.3233/blc-200368.

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BACKGROUND: Bladder cancer is still a disease of significant morbidity and mortality. In bladder cancer, RB1 is one of the most common mutant genes. METHODS: In this study, we explored the Genomics of Drug Sensitivity in Cancer (GDSC) database for drug sensitivity. The latest TCGA data were downloaded for analysis. To deal with functional enrichment analysis, GSEA, KEGG and GO were used. Prognostic analyses have been carried out using the GEPIA online tool. RESULTS: Results from the GDSC database showed that bladder cancer cells with RB1 mutation are more resistant to Dactolisib, MK-2206 and GNE-317. RB1 mutation was found in 25%bladder cancer patients. Patients with RB1 mutation often had lower RB1 mRNA expression level and higher histologic grade. In addition, we identified 999 differentially expressed genes in both groups. Functional enrichment analysis suggested that DEGs were primarily enriched in multiple metabolic progressions, cell proliferation and cancer related pathways. There were strong correlations between WT1, GPR37, CHRM2 and EZH2 expression levels and the prognosis. CONCLUSIONS: In all, the significance of RB1 mutation in disease progression and drug selection in bladder cancer was suggested by our results, and multiple genes and pathways related to such a program were identified.
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Gao, Ningyang, Li Ding, Jian Pang, Yuxin Zheng, Yuelong Cao, Hongsheng Zhan, and Yinyu Shi. "Metabonomic-Transcriptome Integration Analysis on Osteoarthritis and Rheumatoid Arthritis." International Journal of Genomics 2020 (January 2, 2020): 1–9. http://dx.doi.org/10.1155/2020/5925126.

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Purpose. This study is aimed at exploring the potential metabolite/gene biomarkers, as well as the differences between the molecular mechanisms, of osteoarthritis (OA) and rheumatoid arthritis (RA). Methods. Transcriptome dataset GSE100786 was downloaded to explore the differentially expressed genes (DEGs) between OA samples and RA samples. Meanwhile, metabolomic dataset MTBLS564 was downloaded and preprocessed to obtain metabolites. Then, the principal component analysis (PCA) and linear models were used to reveal DEG-metabolite relations. Finally, metabolic pathway enrichment analysis was performed to investigate the differences between the molecular mechanisms of OA and RA. Results. A total of 976 DEGs and 171 metabolites were explored between OA samples and RA samples. The PCA and linear module analysis investigated 186 DEG-metabolite interactions including Glycogenin 1- (GYG1-) asparagine_54, hedgehog acyltransferase- (HHAT-) glucose_70, and TNF receptor-associated factor 3- (TRAF3-) acetoacetate_35. Finally, the KEGG pathway analysis showed that these metabolites were mainly enriched in pathways like gap junction, phagosome, NF-kappa B, and IL-17 pathway. Conclusions. Genes such as HHAT, GYG1, and TRAF3, as well as metabolites including glucose, asparagine, and acetoacetate, might be implicated in the pathogenesis of OA and RA. Metabolites like ethanol and tyrosine might participate differentially in OA and RA progression via the gap junction pathway and phagosome pathway, respectively. TRAF3-acetoacetate interaction may be involved in regulating inflammation in OA and RA by the NF-kappa B and IL-17 pathway.
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Grolmusz, Vince Kornél, Annamária Kövesdi, Katalin Borka, Peter Igaz, and Attila Patócs. "Prognostic relevance of proliferation-related miRNAs in pancreatic neuroendocrine neoplasms." European Journal of Endocrinology 179, no. 4 (October 2018): 219–28. http://dx.doi.org/10.1530/eje-18-0305.

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ObjectivePancreatic neuroendocrine neoplasms (PanNENs) are rare tumors arising from the endocrine pancreas; however, their prognosis differs significantly upon their proliferative state, which is characterized by histopathological grading. MiRNAs are small, noncoding RNAs posttranscriptionally regulating gene expression. Our aim was to identify miRNAs with altered expression upon proliferation which can be used as prognostic biomarkers in PanNENs.MethodsMiRNA expression profiles of 40 PanNENs were downloaded from Gene Expression Omnibus and were reanalyzed upon tumor grades (discovery cohort). Results of the reanalysis were confirmed by qRT-PCR analysis of five miRNAs on an independent validation cohort of 63 primary PanNEN samples. Cox proportional hazards survival regression models were fit for both univariate and multivariate analysis to determine the miRNAs’ effect on progression-free and overall survival.ResultsNineteen miRNAs displayed differential expression between tumor grades. The altered expression of three out of five chosen miRNAs was successfully validated; hsa-miR-21, hsa-miR-10a and hsa-miR-106b were upregulated in more proliferative PanNENs compared to Grade 1 tumors. In univariate analysis, higher expression of tissue hsa-miR-21, hsa-miR-10a and hsa-miR-106b of primary PanNENs predicted worse progression-free and overall survival; however, multivariate analysis only confirmed the expression of hsa-miR-21 as an independent prognostic factor.ConclusionsThe expression of hsa-miR-106b, hsa-miR-10a and especially hsa-miR-21 has prognostic relevance regarding progression-free and overall survival in patients with PanNENs.
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An, Hoyoung, Sang Joon Son, Sooyun Cho, Eun Young Cho, Booyeol Choi, and Seong Yoon Kim. "Large intracranial volume accelerates conversion to dementia in males and APOE4 non-carriers with mild cognitive impairment." International Psychogeriatrics 28, no. 5 (December 17, 2015): 769–78. http://dx.doi.org/10.1017/s104161021500229x.

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ABSTRACTBackground:It is unclear how brain reserve interacts with gender and apolipoprotein E4 (APOE4) genotype, and how this influences the progression of Alzheimer's disease (AD). The association between intracranial volume (ICV) and progression to AD in subjects with mild cognitive impairment (MCI), and differences according to gender and APOE4 genotype, was investigated.Methods:Data from subjects initially diagnosed with MCI and at least two visits were downloaded from the ADNI database. Those who progressed to AD were defined as converters. The longitudinal influence of ICV was determined by survival analysis. The time of conversion from MCI to AD was set as a fiducial point, as all converters would be at a similar disease stage then, and longitudinal trajectories of brain atrophy and cognitive decline around that point were compared using linear mixed models.Results:Large ICV increased the risk of conversion to AD in males (HR: 4.24, 95% confidence interval (CI): 1.17–15.40) and APOE4 non-carriers (HR: 10.00, 95% CI: 1.34–74.53), but not in females or APOE4 carriers. Cognitive decline and brain atrophy progressed at a faster rate in males with large ICV than in those with small ICV during the two years before and after the time of conversion.Conclusions:Large ICV increased the risk of conversion to AD in males and APOE4 non-carriers with MCI. This may be due to its influence on disease trajectory, which shortens the duration of the MCI stage. A longitudinal model of progression trajectory is proposed.
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Tong, Mingfu, Wenquan Lu, Hao Liu, Jian Wu, Mingzuo Jiang, Xin Wang, Jianyu Hao, and Daiming Fan. "Evaluation of MT Family Isoforms as Potential Biomarker for Predicting Progression and Prognosis in Gastric Cancer." BioMed Research International 2019 (July 17, 2019): 1–15. http://dx.doi.org/10.1155/2019/2957821.

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Background. Metallothioneins (MTs) family comprises many isoforms, most of which are frequently dysregulated in a wide range of cancers. However, the expression pattern and exact role of each distinct MT family isoform which contributes to tumorigenesis, progression, and drug resistance of gastric cancer (GC) are still unclear. Methods. Publicly available databases including Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), Kaplan-Meier plotter, SurvExpress, MethHC, cBioportal, and GeneMANIA were accessed to perform an integrated bioinformatic analysis and try to detect fundamental relationships between each MT family member and GC. Results. Bioinformatic data indicated that the mRNA expression of all MT family members was almost lowly expressed in GC compared with normal gastric tissue (P<0.05), and patients with reduced mRNA expression of each individual MT member had inconsistent prognostic value (OS, FP, PPS), which depended on the individual isoform of MT. A negative correlation between the methylation in promoter region of majority of MT members and their mRNA expression was detected from MethHC database (p<0.001). Data downloaded from TCGA revealed that MTs were rarely mutated in GC patients and MT2A was frequently regulated by other three genes (FOS, JUN, SP1) in GC patients. Conclusion. MTs were nearly downregulated, and distinct type of MT harbored different prognostic role in GC patients. Methylation in gene promoter region of MTs partially contributed to their reduced expression in GC. Our comprehensive analyses from multiple independent databases may further lead researches to explore MT-targeting reagents or potential diagnostic and prognostic markers for GC patients.
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44

Chang, Cheng-Chang, Kuo-Min Su, Kai-Hsi Lu, Chi-Kang Lin, Peng-Hui Wang, Hsin-Yang Li, Mong-Lien Wang, Cheng-Kuo Lin, Mu-Hsien Yu, and Chia-Ming Chang. "Key Immunological Functions Involved in the Progression of Epithelial Ovarian Serous Carcinoma Discovered by the Gene Ontology-Based Immunofunctionome Analysis." International Journal of Molecular Sciences 19, no. 11 (October 24, 2018): 3311. http://dx.doi.org/10.3390/ijms19113311.

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Serous carcinoma (SC) is the most common and lethal subtype of epithelial ovarian carcinoma; immunotherapy is a potential treatment for SC, however, the global immunological functions of SC as well as their change during the progression of SC have not been investigated in detail till now. We conducted a genome-wide integrative analysis to investigate the immunofunctionomes of SC at four tumor stages by quantifying the immunological functions defined by the Gene Ontology gene sets. DNA microarray gene expression profiles of 1100 SCs and 136 normal ovarian tissue controls were downloaded from the Gene Expression Omnibus database and converted to the functionome. Then the immunofunctionomes were reconstructed by extracting the offspring from the functionome for the four SC staging groups. The key immunological functions extracted from immunofunctionomes with a series of filters revealed that the immunopathy of SC consisted of a group of deregulated functions with the core members including B cell activation and differentiation, regulation of leukocyte chemotaxis/cellular extravasation, antigen receptor mediated signaling pathway, T helper mediated immunity and macrophage activation; and the auxiliary elements included leukocyte mediated immunity, regulation of inflammatory response, T cell differentiation, mononuclear cell migration, megakaryocyte differentiation, complement activation and cytokine production. These deregulated immunological functions reveal the candidates to target in the immunotherapy.
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45

Lu, Yunping. "miR-223-5p Suppresses OTX1 to Mediate Malignant Progression of Lung Squamous Cell Carcinoma Cells." Computational and Mathematical Methods in Medicine 2021 (July 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/6248793.

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Background. Lung squamous cell carcinoma (LUSC) features high morbidity and mortality as a worldwide malignant tumor. This study mainly explored a miR-223-5p-dependent mechanism that affected proliferation, invasion, and migration of LUSC cells. Methods. Expression data of mature miRNAs and sequencing data of total RNA of LUSC were downloaded from TCGA database. Differentially expressed mRNAs were obtained. Function of miR-223-5p in LUSC cells was detected by assays like qRT-PCR, MTT, wound healing assay, Western blot, and Transwell assay. Western blot was performed to analyze the relationship between OTX1 and JAK/STAT signaling pathways. Dual-luciferase assay detected the relationship between miR-223-5p and OTX1. The way how miR-223-5p regulated LUSC cell biological functions via OTX1 was further explored. Results. It was noted that miR-223-5p expression in LUSC tissue and cells was significantly reduced. Overexpression of miR-223-5p negatively regulated the proliferation, invasion, and migration of LUSC cells. The downstream target gene OTX1 was detected to be notably elevated in LUSC cells. A negative correlation between OTX1 and miR-223-5p was also found. As analyzed by GSEA, OTX1 was significantly enriched in the JAK/STAT signaling pathway and activated the pathway. Dual-luciferase assay demonstrated that OTX1 was a direct molecular target of miR-223-5p in LUSC cells. Rescue experiment verified that miR-223-5p regulated the malignant phenotypes of LUSC cells by pairing with OTX1. Conclusion. This study indicated that miR-223-5p was lowly expressed in LUSC cells. The impact of miR-223-5p on cell proliferation, invasion, and migration was realized by targeting OTX1. It is likely that miR-223-5p can be a novel target for LUSC treatment, which provides new ideas for future LUSC treatment.
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46

Huang, Ting, Xuan Huang, Yumin Nie, Xiangkui Shi, and Chuanjun Shu. "A Combined Effect of Expression Levels of Obesity-Related Genes and Clinical Factors on Cancer Survival Rate." BioMed Research International 2020 (November 24, 2020): 1–20. http://dx.doi.org/10.1155/2020/8838676.

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Obesity is directly associated with the risk of cancer in different organs, including breast, colon, and kidney. However, adipocytes could be utilized to control progression for some types of cancer, such as leukemia and breast cancer. To explore the potential correlation between adipocytes and cancer, the combined effect of expression levels of obesity-related genes and clinical factors (i.e., gender, race, menopausal status, history of smoking, tumor grade, body mass index (BMI), and history of drinking) on cancer survival rate was systemically studied. The expression levels of obesity-related genes in cancer tissues and normal tissues were downloaded from The Cancer Genome Atlas (TCGA). Kaplan–Meier curves were plotted using R programming language. The log-rank test was applied to explore the correlation between different clinical subgroups. The overexpression of the nine obesity-related genes (MC4R, TMEM18, KCTD15, GNPDA2, SH2B1, MTCH2, FTO, PCSK1, and GPR120) may associate with tumor-promoting factors in some organs (head and neck, gastrointestinal tract, liver, and gallbladder). Underexpressed LEPR, NEGR1, TMEM18, and SH2B1 genes prevented the progression and metastasis of kidney cancer. The combined effect of clinical factors and the expression levels of obesity-related genes on patients’ survival was found to be significant. Our outcomes suggested that the alternations of DNA methylation patterns could result in the changes of expression levels of obesity-related genes, playing a critical role in tumor progression. The results of the current study may be utilized to supplement precision and personalized medicine, as well as provide novel insights for the development of treatment approaches for cancer.
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Qian, Wang, Wang Xiaoyi, and Ye Zi. "Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases." BioMed Research International 2019 (July 16, 2019): 1–7. http://dx.doi.org/10.1155/2019/8794013.

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Purpose. To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and elucidate the possible molecular mechanism. Methods. The GSE93798 and GSE73953 datasets containing microarray data from IgAN patients and healthy controls were downloaded from the GEO database and analyzed by the GEO2R web tool to obtain different expressed genes (DEGs). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, protein-protein interaction (PPI), and Biological Networks Gene Oncology tool (BiNGO) were then performed to elucidate the molecular mechanism of IgAN. Results. A total of 223 DEGs were identified, of which 21 were hub genes, and involved in inflammatory response, cellular response to lipopolysaccharide, transcription factor activity, extracellular exosome, TNF signaling pathway, and MAPK signaling pathway. Conclusions. TNF and MAPK pathways likely form the basis of IgAN progression, and JUN/JUNB, FOS, NR4A1/2, EGR1, and FOSL1/2 are novel prognostic biomarkers of IgAN.
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48

Schetelig, Johannes, Anja van Biezen, Dolores Caballero, Martino Rodrigo, Kari Remes, José A. García-Marco, Liisa Volin, et al. "Allogeneic Hematopoietic Cell Transplantation for Chronic Lymphocytic Leukemia (CLL) with 17p Deletion: A Retrospective EBMT Analysis." Blood 110, no. 11 (November 16, 2007): 47. http://dx.doi.org/10.1182/blood.v110.11.47.47.

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Abstract Purpose: Patients with advanced CLL and 17p deletion have a very poor prognosis even after intensive chemotherapy. While allogeneic hematopoietic cell transplantation (HCT) has the potential to cure patients with advanced CLL it is not known whether this holds true for patients with 17p deletion. Patients and Methods: Patients with 17p- CLL who had received HCT were identified by an EBMT-based survey. Baseline data were downloaded from the EBMT database. Additional information on the course of the disease, the cytogenetic diagnosis and last follow up was collected by a questionnaire. Data were analysed as of February 2007. Results: 56 patients were identified. Twelve patients with autologous HCT, haplo-identical donors or the detection of 17p- after HCT were excluded from further analysis. 44 patients had received an allogeneic HCT between March 1995 and July 2006 from a matched related donor (n=27) or unrelated volunteer donor (n=17). The median age at HCT was 54 years (range, 35 to 64 years). Until HCT the maximum stage had been Binet A or B in 37% of patients and Binet C in 61% of patients. The diagnosis of deletion 17p- was made by FISH in 82% and by conventional banding in 18% of patients. The median interval between first diagnosis and detection of 17p- was 2.3 years (range, 1 to 11 years) and the median interval between detection of 17p- and HCT was 0.5 years (range, 0 to 3 years). Patients had received a median of 3 chemotherapy regimens (range, 2 to 7 lines), including fludarabine in 93% of patients and alemtuzumab in 41% of patients. At HCT, 53% of patients were in remission while 47% of patients were in stable or progressive disease. Reduced intensity conditioning was applied in 89% of patients. Peripheral blood stem cells were transplanted in 93% of the patients. GVHD prophylaxis was performed heterogeneously. One patient experienced primary graft failure. Acute GVHD grades II to IV occurred in 44% of patients and extensive chronic GVHD in 46% of patients. After a median follow-up of 23 months (range, 2 to 90 months) of 26 patients who are alive, 18 were in complete remission, 4 in partial remission and 4 patients had progressive disease at last follow up. 4-year overall survival and progression-free survival was 48% (95% CI, 28% to 68%) and 37% (95% CI, 18% to 56%). The cumulative incidences of relapse and non-relapse mortality at 4 years were 36% and 27%. No late-relapse occurred in five patients with a follow-up of more than 4 years. Conclusion: Allogeneic HCT has the potential to induce long-term disease-free survival in selected patients with advanced 17p- CLL. Given the otherwise very dismal outcome of this disease, prospective studies on allogeneic HCT earlier in the course of 17p- CLL seem warranted.
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49

G, Suma. "Soil Classification and Crop Prediction." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (August 10, 2021): 168–74. http://dx.doi.org/10.22214/ijraset.2021.37300.

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Agribusiness is the core of numerous nations and soil is the primary significant component of horticulture. There are diverse soil sorts and every sort has various highlights for various yields. In this field, presently a day's various techniques and models are utilized to build the amount of the harvests. So the primary motivation behind this of this task is to make a model that assists ranchers with realizing which harvest should take in a specific kind of soil. In this task, we measure the dirt pictures to produce an advanced soil characterization framework for rustic ranchers for minimal price. Tensorflow climate is utilized from this we can download the necessary bundles. We are utilizing two datasets, that is preparing set comprises of four sorts of soil Alluvial, Red, Dark, Earth and train set. Soil surface is the principle factor to be considered prior to doing development. In this methodology, we can gather 50 examples from the various areas of our country. The examples are shot under light condition utilizing an any camera. Soil pictures are handled through the various stages like Convolution layer is to separate highlights from the info picture, Max pool layer is to decrease the spatial component of the information volume for next layers, Drop out layer is arbitrarily sets input units to 0 with a recurrence of rate at each progression during preparing time, which forestalls over fitting, and different layers.
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50

Su, Kuo-Min, Tzu-Wei Lin, Li-Chun Liu, Yi-Pin Yang, Mong-Lien Wang, Ping-Hsing Tsai, Peng-Hui Wang, Mu-Hsien Yu, Chia-Ming Chang, and Cheng-Chang Chang. "The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis." International Journal of Molecular Sciences 21, no. 8 (April 17, 2020): 2824. http://dx.doi.org/10.3390/ijms21082824.

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Ovarian clear cell carcinoma (OCCC) is the second most common epithelial ovarian carcinoma (EOC). It is refractory to chemotherapy with a worse prognosis after the preliminary optimal debulking operation, such that the treatment of OCCC remains a challenge. OCCC is believed to evolve from endometriosis, a chronic immune/inflammation-related disease, so that immunotherapy may be a potential alternative treatment. Here, gene set-based analysis was used to investigate the immunofunctionomes of OCCC in early and advanced stages. Quantified biological functions defined by 5917 Gene Ontology (GO) terms downloaded from the Gene Expression Omnibus (GEO) database were used. DNA microarray gene expression profiles were used to convert 85 OCCCs and 136 normal controls into to the functionome. Relevant offspring were as extracted and the immunofunctionomes were rebuilt at different stages by machine learning. Several dysregulated pathogenic functions were found to coexist in the immunopathogenesis of early and advanced OCCC, wherein the complement-activation-alternative-pathway may be the headmost dysfunctional immunological pathway in duality for carcinogenesis at all OCCC stages. Several immunological genes involved in the complement system had dual influences on patients’ survival, and immunohistochemistrical analysis implied the higher expression of C3a receptor (C3aR) and C5a receptor (C5aR) levels in OCCC than in controls.
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