Advances in Research of Wheat NAC Transcription Factor in Stress Response by Jilong ZHOU, Kunpeng YAO, Jinpeng YANG, Xi XU, Shiyang PENG, Shilin ZHENG, Ruxian MA, Meng HAN, Yumei ZHANG, Ximei LI

“…Crop resistance is a complex quantitative trait controlled by many genes, which coordinate with each other to form a complex regulatory network. …”
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Accurate serology for SARS-CoV-2 and common human coronaviruses using a multiplex approach by Sophie van Tol, Ramona Mögling, Wentao Li, Gert-Jan Godeke, Arno Swart, Barbara Bergmans, Afke Brandenburg, Kristin Kremer, Jean-Luc Murk, Josine van Beek, Bas Wintermans, Johan Reimerink, Berend-Jan Bosch, Chantal Reusken

“…Overall, we present the development and extensive clinical validation of a multiplex coronavirus serological assay for syndromic testing, to answer research questions regarding to antibody responses, to support SARS-CoV-2 diagnostics and to evaluate epidemiological developments efficiently and with high-throughput.…”
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The rapid detection of human HLA-B*27 gene based on BASIC isothermal detection by Ying Chen, Jianing Ren, Xin Yang, Zhanggang Li, Wenwen Wu, Guangcheng Luo, Yuan Xu, Hongjun Yang, Qiang Wang, Qing Zhang

“…In this study, we developed a rapid HLA-B*27 detection platform (namely BASIC) by combining our previously invented BASIS isothermal amplification method with the widely used CRISPR/Cas12a signal output tool. The BASIS can efficiently amplify all HLA-B*27 genotypes by using a set of universal primers, which target the conserved regions. …”
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A Risk-Based Framework for Power System Modeling to Improve Resilience to Extreme Events by Emily L. Barrett, Kaveri Mahapatra, Marcelo Elizondo, Xiaoyuan Fan, Sarah Davis, Sarah Newman, Patrick Royer, Bharat Vyakaranam, Fernando Bereta Dos Reis, Xinda Ke, Jeff Dagle

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Designing a causal model of factors affecting the Lars supply chain by mojtaba khalesi, mojdeh rabani, Hasan Dehghan Dahnavi, Abolfazl Sadeghian, mohammad taghi honari

“…Although a resilient supply chain may not be the least expensive supply chain, it is efficient in unpredictable turbulence (Raut, Mangla, Narwane, Dora, & Liu, 2021). …”
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Investigating the Mediating Role of Self-Efficacy in the Relationship between Job Demand and Role Ambiguity with Employee Well-Being by Mahnaz Rahimi, Mohammad Hassani, Hasen Ghalavand

“…According to the findings of this research, it seems that by reducing job demands and role ambiguity, the well-being of employees can be increased, which leads to an increase in employee productivity and ultimately the effectiveness and efficiency of the organization. Yet, when job demands are high, there is a lot of psychological pressure on the employees, and this psychological pressure manifests in an individual's behavior in the form of fatigue, stress and anger. …”
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Centralization or Equalization? Policy Trend Guidance for Improving Grain Production Security in China by Rongqian Lu, Xinhuan Zhang, Degang Yang, Yang Chen, Mingjie Cui

“…This will help to enhance the comprehensive production capacity and production efficiency of the MGPAs, thereby guaranteeing China’s food security.…”
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Portable astronomical observation system based on large-aperture concentric-ring metalens by Jianli Wang, Yongting Deng, Chengmiao Wang, Yu Lin, Yeming Han, Junchi Liu, Xiufeng Liu, Hongwen Li, Jan G. Korvink, Yongbo Deng

“…In the subsequent experiments, the unique weak polarization dependence and narrowband adaptability of the meta-camera are quantitatively analyzed and tested, and excellent imaging results were finally obtained. …”
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Effects of asymmetric policies to achieve emissions reduction on energy trade: A North American perspective by Sara Giarola, Iván García Kerdan, Peter Johnston, Nick Macaluso, Baltazar Solano Rodriguez, Ilkka Keppo, Adam Hawkes, David Daniels

“…This paper investigates the impact of asymmetric emission reduction policies on the cost-effectiveness and efficiency of climate strategies in North America. Using a model inter-comparison approach, which combines two bottom-up global models and one top-down global model, this study assesses the effects of such policies on fuel substitution, global fossil fuel trade, and emissions in North America and globally. …”
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Selection and validation of stable reference genes in guava (Psidium guajava L.) for reliable and consistent gene expression analysis by Sandeep Kumar, Manoharan Muthukumar, Anju Bajpai, Amar Kant Kushwaha, Israr Ahmad, Yashi Bajpai, Anshuman Singh, Thukkaram Damodaran, Mala Trivedi

“…Background: Ideal stably expressing housekeeping gene to be used as internal control needs to be optimized for efficient gene expression analysis for accurate mRNA quantitation. …”
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A randomised controlled trial comparing the outcomes of arteriovenous fistula for dialysis created under local vs regional anaesthesia: reflections on recruitment and process evalu... by Emma Aitken, Cecilia Vindrola-Padros, Nicolas Hall, the ACCess study collaborators

“…We describe our experiences of successful recruitment into an RCT of anaesthetic technique in vascular access surgery with the aim of exploring barriers and enablers to efficient recruitment and trial delivery. Methods A mixed-methods approach was adopted to evaluate the recruitment and implementation processes of The Anaesthesia Choice for Creation of artEriovenouS fiStulae (ACCess) study ( https://doi.org/10.1136/bmjopen-2021-052188 ) (Deloitte. …”
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Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine lea... by Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

“…One of the major challenges in designing an efficient heating and cooling equipment is the consideration and availability of cost-effective fluids. …”
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Identification of Exiguobacterium acetylicum by a double real- time polymerase chain reaction assay by GAO Cancan, LIU Jiamei, LI Junjie, LU Zhaoxin, LÜ Fengxia, ZHANG Chong, ZHAO Haizhen, BIE Xiaomei

“…When applied to the fresh-cut leafy vegetables, the assay and the equation could detect rapidly and accurately the CFU on them.In sum, this study establishes an accurate, sensitive and efficient double RT- PCR assay to detect quantitatively food spoilage bacteria E. acetylicum. …”
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Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients by Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

“…Despite these advancements, a critical gap persists in studies quantitatively linking the risk of postoperative stroke to revascularization using ML-based approaches. …”
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Metode COPRAS untuk Menentukan Kain Terbaik dalam Pembuatan Pakaian pada Butik Batik Hatta Semarang by Saifur Rohman Cholil, Mohamad Adi Setyawan

“…The decision making process can be minimized so that errors do not occur, it requires accurate observations and several considerations from decision makers in terms of texture, color quality, quality of materials, and others in determining the best fabric for making clothing in a fast time quantitatively. Butik Batik Hatta is still using a manual system in determining the decision to choose the best fabric for making clothes, this is considered to be less efficient and prone to mistakes, so a decision support system (DSS) is needed. …”
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Simplifying SARS-CoV-2 wastewater-based surveillance using an automated FDA EUA assay by Shivaprasad H. Sathyanarayana, Ashlee A. Robins, Diana M. Toledo, Torrey L. Gallagher, Gregory J. Tsongalis, Jacqueline A. Hubbard, Joel A. Lefferts, Isabella W. Martin

“…SARS-CoV-2 detection in wastewater using an FDA EUA assay on an automated commercial testing platform performed comparably but with more efficient workflow when compared to two LDTs. This sample-to-answer automated method could save time and labor for surveillance testing, but further validation of its ability to quantitate SARS-CoV-2 viral RNA is necessary.IMPORTANCEThis proof-of-principle study evaluates an off-label use of an automated United States Food and Drug Administration (FDA) Emergency Use Authorization (EUA) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) human diagnostic assay for wastewater surveillance. …”
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Discovery of ultra-high strength aluminum alloys with high damage tolerance via interpretable chain-based machine learning by Lei Jiang, Xinbiao Zhang, Wentao Zhoutai, Zhilin Han, Minghong Mao, Wenli Xue, Jianxin Xie

“…This work provides a novel approach for efficiently designing high damage tolerance alloys.…”
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The Pollen Representation of Vegetation and Climate Along an Altitudinal Gradient on the Eastern Tibetan Plateau by Weihe Ren, Min Liu, Feng Qin, Quan Li, Guitian Yi, Weiyu Chen, Shuming Li, Zijian Liu, Qing Peng, Chen Liang, Yan Zhao

“…Understanding the relationship between modern pollen assemblages and vegetation/climate for various elevations is essential for accurately interpreting fossil pollen records and conducting quantitative climate reconstructions in mountainous regions. …”
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Measuring River Surface Velocity Using UAS‐Borne Doppler Radar by Zhen Zhou, Laura Riis‐Klinkvort, Emilie Ahrnkiel Jørgensen, Christine Lindenhoff, Monica Coppo Frías, Alexander Rietz Vesterhauge, Daniel Haugård Olesen, Makar Lavish, Alexey Dobrovolskiy, Alexey Kadek, Niksa Orlic, Tomislav Grubesa, Luka Drmić, Henrik Grosen, Sune Nielsen, Daniel Wennerberg, Viktor Fagerström, Jenny Axén, David Gustafsson, Peter Bauer‐Gottwein

“…Abstract Using Unoccupied Aerial Systems (UAS) equipped with optical RGB cameras and Doppler radar, surface velocity can be efficiently measured at high spatial resolution. UAS‐borne Doppler radar is particularly attractive because it is suitable for real‐time velocity determination, because the measurement is contactless, and because it has fewer limitations than image velocimetry techniques. …”
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Backpropagation Neural Network Implementation in Volumetric Modulated Arch Therapy of Brain Cancer Dose Prediction by Nafisa Imtiyaziffati Rasoma Muliarso, Prawito Prajitno, Dewa Ngurah Yudhi Prasada, Aloysius Putranto, Muhammad Fadli, Dwi Seno Kuncoro Sihono

“…Recent advancements in artificial intelligence (AI) offers an objective approach to improve the efficiency of VMAT planning.Material and Methods: In this study, the backpropagation neural network with 5-fold cross-validation model was employed to train the extracted Radiomics and dosiomics features from organ contours DICOM RT structure and dose distribution DICOM RT dose using 178 VMAT technique brain cancer patients. …”
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