Development and Validation of LAMP Assays for Distinguishing MPXV Clades with Fluorescent and Colorimetric Readouts by Nazente Atceken, Sara Asghari Dilmani, Ahmed Choukri Abdullah, Mutlu Sarıkaya, Defne Yigci, Gozde Korkmaz, Savas Tasoglu

“…We report the development of LAMP-1 and LAMP-2 assays using the LAMP method to detect MPXV Clade-I and Clade-II, respectively. …”
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Tackling gaps in developing life‐changing treatments for dementia by Rui Mauricio, Caroline Benn, John Davis, Gerry Dawson, Lee A. Dawson, Alison Evans, Nick Fox, John Gallacher, Mike Hutton, John Isaac, Declan N.C. Jones, Lesley Jones, Giovanna Lalli, Vincenzo Libri, Simon Lovestone, Catherine Moody, Wendy Noble, Hugh Perry, James Pickett, David Reynolds, Craig Ritchie, Jonathan D. Rohrer, Carol Routledge, James Rowe, Heather Snyder, Tara Spires‐Jones, Jina Swartz, Luc Truyen, Paul Whiting, Therapeutics for Dementia Consortium

“…This report is a summary of the findings and recommendations of a meeting titled “Tackling gaps in developing life‐changing treatments for dementia”, hosted by Alzheimer's Research UK in May 2018. …”
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Development of a collision avoidance system for agricultural airboat based on laser sensor by LIU Yufei, HE Yong, NOGUCHI Noboru

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Development of a matrix reference material for amoxicillin in lyophilized bovine milk by LIU Tian-he, WEI Ning, WU Cai-hong, ZHANG Yu, LIU Qiu-hui

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Development and characterization of SSR markers in Chinese cherry (Prunus pseudocerasus Lindl.) by Cheng-xiang Ai, Xian-mei Yu, Adrian Dahlenburg, Hong-jun Zhao, Yan Zhao, Qing-zhong Liu

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Development of an Enzyme-Linked Immunosorbent Assay Based on a Monoclonal Antibody for the Rapid Detection of Citrinin in Wine by Xingdong Yang, Yang Qu, Chenchen Wang, Lihua Wu, Xiaofei Hu

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Development of internet of things-based petroleum pipeline topology leak monitoring and detection system using sensors by Paul Bukie, Idongesit Eteng, Eyo Essien

“…In this study, an Internet of Things (IoT)-Based Petroleum Pipeline Topology Leak Detection and Monitoring System (IoT-BPTLDMS) that is capable of monitoring, detecting, and reporting pipeline topology leakage and reports same to the control room before it graduates to spillage has been developed. …”
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Application of Comparative Genomics for the Development of PCR Primers for the Detection of Harmful or Beneficial Microorganisms in Food: Mini-Review by Sang-Soon Kim

“…This mini-review explores the application of pan-genome analysis in developing PCR primers for the detection of harmful microorganisms, such as <i>Salmonella</i>, <i>Cronobacter</i>, <i>Staphylococcus</i>, and <i>Listeria</i>, as well as beneficial microorganisms like <i>Lactobacillus</i>. …”
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Development of novel aptasensor based carbon nano dots (CNDs) with FRET mechanism for detection of organophosphorus pesticides by Sriati Wahyudi, Ivan Rizoputra, Anas, Camellia Panatarani, Ayi Bahtiar

“…Pesticide residues organophosphorus have always been a great threat to agricultural production and food safety. Herein, we developed a sensitive and selective sensing system for the detection of pesticides organophosphorus specific diazinon, malathion, and ethion. …”
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Development and validation of a high-throughput qPCR platform for the detection of soil-transmitted helminth infections. by Nils Pilotte, Victor Omballa, Monica Voss, Leah Padgett, Malathi Manuel, Jeanne L Goodman, Tim Littlewood, Zayina Zondervenni Manoharan, Lisette van Lieshout, Jaco J Verweij, Manigandan Sekar, Ajith Kumar Muthukumar, Gretchen Walch, Abriana Warren, Mariyam Sheikh, Andrew Gonzalez, Sean R Galagan, Sitara Swarna Rao Ajjampur, Moudachirou Ibikounlé, Steven A Williams, Doug Rains, Ushashi Dadwal, Judd L Walson

“…<h4>Methodology/principal findings</h4>Through the development, selection, and validation of appropriate controls, we have successfully created and evaluated the performance of a testing platform capable of the semi-automated, high-throughput detection of four species of STH in human stool samples. …”
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Development of Lower Limb Exoskeleton Rehabilitation Robot Framework Based on Multi-Modal Motion Intent Detection by Yuefei Wang, Yudong Fang, Wujia Huang, Zhen Liu, Chenglong Zhao, Muxin Du, Liucun Zhu

“…Based on a rehabilitation robot dynamics model, a robust adaptive PD control system is developed, and the accurate signals of this multimodal fusion human intention recognition framework based on motor imagery are used as input signals to the system.…”
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Automatic detection of Cyanobacterial blooms using multi-source optical satellite imagery: method development and application by Hailong Zhang, Chen Lu, Deyong Sun, Xiaomin Ye, Shengqiang Wang, Quan Qin

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DEVELOPMENT OF ALGORITHM FOR DETECTING UNAUTHORIZED ELECTRICITY CONSUMPTION IN MUNICIPAL-DOMESTIC NETWORKS BASED ON PROCESSING OF LOAD PROFILES by Anna Savtsova, Anna Grin, Alexander Grin, Irina Skorokhodova, Sergey Volkov

“…The software implementation ofthis algorithm allows the development of new criteria for the detection of EE PDs based on Smart Metering technology. …”
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Developing a Predictive Model for Stroke Disease Detection Using a Scalable Machine Learning Approach by Assefa Senbato Genale, Tsion Ayalew Dessalegn

“…To address this issue, a scalable stroke disease prediction model for a multinode distributed environment, which was developed by combining big data analytics concepts with machine learning to handle extensive healthcare datasets, an aspect not seen in the prior literature on stroke disease detection, is presented in this work. …”
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The Development of a Wearable-Based System for Detecting Shaken Baby Syndrome Using Machine Learning Models by Ram Kinker Mishra, Khalid AlAnsari, Rylee Cole, Arin Nazarian, Ilkay Yildiz Potter, Ashkan Vaziri

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Development of a multi-targeted real-time PCR assay for the detection of the grapevine pathogen Xylophilus ampelinus by Aleksander Benčič, Alexandra Bogožalec Košir, Janja Matičič, Manca Pirc, Neža Turnšek, Tanja Dreo

“…Conclusions The newly developed real-time PCR assays provide an enhanced diagnostic framework for the detection of X. ampelinus in various plant matrices, significantly improving the applicability of molecular testing. …”
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Developing a non-destructive method for the detection of egg quality and freshness using micro-Raman spectroscopy by Maryam Davari, Maryam Bahreini, Zahra Sabzevari

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Development of a Tandem Mass Spectral Library for the Detection of Triterpenoids in Plant Metabolome Based on Reference Standards by Bibi Zareena, Syed Usama Y. Jeelani, Adeeba Khadim, Arslan Ali, Jalal Uddin, Satyajit D. Sarker, Matthias Rainer, Shaden A. M. Khalifa, Hesham R. El-Seedi, Muhammad Ramzan, Syed Ghulam Musharraf

“…Plant triterpenoids represent a diverse group of secondary metabolites and are thought to be valuable for therapeutic applications. For drug development, lead optimization, better knowledge of biological pathways, and high-throughput detection of secondary metabolites in plant extracts are crucial. …”
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Deep Learning-Based Efficient Model Development for Phishing Detection Using Random Forest and BLSTM Classifiers by Shan Wang, Sulaiman Khan, Chuyi Xu, Shah Nazir, Abdul Hafeez

“…With the increase in the number of electronic devices and developments in the communication system, security becomes one of the challenging issues. …”
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Single-Thermocouple Suspended Microfluidic Thermal Sensor with Improved Heat Retention for the Development of Multifunctional Biomedical Detection by Lin Qin, Xiasheng Wang, Chenxi Wu, Yuan Ju, Hao Zhang, Xin Cheng, Yuanlin Xia, Cao Xia, Yubo Huang, Zhuqing Wang

“…Based on this design, multiple microfluidic channels with suspended bridge structures can be integrated to realize multi-component detection, which is important for the development of multifunctional biomedical detection.…”
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