A screen-printed carbon electrode modified with a green synthesized gold nanoparticle for selective detection of nitrite in drinking water sample by M.V. Arularasu, T.V. Rajendran, R. Vignesh, Vinod Kumar Nelson, Shaik Mohammed Yusuf

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JWST’s First View of Tidal Disruption Events: Compact, Accretion-driven Emission Lines and Strong Silicate Emission in an Infrared-selected Sample by Megan Masterson, Kishalay De, Christos Panagiotou, Erin Kara, Wenbin Lu, Anna-Christina Eilers, Muryel Guolo, Armin Rest, Claudio Ricci, Sjoert van Velzen

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A UV to X-Ray View of Soft Excess in Type 1 Active Galactic Nuclei. I. Sample Selection and Spectral Profile by Shi-Jiang Chen, Jun-Xian Wang, Jia-Lai Kang, Wen-Yong Kang, Hao Sou, Teng Liu, Zhen-Yi Cai, Zhen-Bo Su

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Establishment of Safety Evaluation Factors for Dust Storms in the Landing Area Selection for Tianwen‐3 Mission by Puzheng Wen, Yuan Tian, Bo Li, Shaojie Qu

“…The pre‐selected landing areas in Utopia and Chryse Planitia of Tianwen‐3 mission can be divided into three categories: danger zones (areas with protogenous dust storm activity), safety zones (areas without any dust storm occurrence), and forecast zones (areas without protogenous dust storm activity but with dust storm sequences passing through). …”
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Selection of Monitoring points for the Number and Infectivity of the Main Vectors of West Nile Virus in the Volgograd Region by N. V. Boroday, A. V. Nesgovorova, V. F. Fomina, A. K. Mendygalieva, A. A. Baturin, D. N. Nikitin, E. V. Putinceva

“…No infected samples were found among Cx. pipiens L. collected from the floodplain forest. …”
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GA-SVM method for single-phase grounding fault line selection in distribution network based on feature fusion by ZHANG Xiaopeng, BAI Jie, SUN Naijun, LI Jie, ZHENG Shuai, WAN Qingzhu

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PROFITABILITY ANALYSIS OF POULTRY LAYERS PRODUCTION IN THREE SELECTED LOCAL GOVERNMENT AREAS OF KANO STATE - NIGERIA by Zarewa Muhammad NALAMI, Sikiru Adekunle OLAYIWOLA, Sunusi Abdullahi BELI

“…Random sampling techniques were used to select 150 layer poultry farmers. …”
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Probability Density Function Distance-Based Augmented CycleGAN for Image Domain Translation with Asymmetric Sample Size by Lidija Krstanović, Branislav Popović, Sebastian Baloš, Milan Narandžić, Branko Brkljač

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Computationally derived structural insights into Rare Earth selectivity in lanmodulin and its variants by Karuna Anna Sajeevan, Bibek Acharya, Sakib Ferdous, Dan M. Park, Joseph A. Cotruvo, Jr., Ratul Chowdhury

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Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey by Anuj Kumar Pandey, Benson M Thomas, Diksha Gautam, Arun Balachandran, Dyah Anantalia Widyastari, Shyamkumar Sriram, Sutapa Bandyopadhyay Neogi

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One Galaxy Sample to Rule Them All: Halo Occupation Distribution Modeling of DES Year 3 Source Galaxies by Andrés N. Salcedo, Tim Eifler, Peter Behroozi

“…For the joint analysis of second-order weak-lensing and galaxy clustering statistics, so-called 3 × 2 analyses, the selection and characterization of optimal galaxy samples is a major area of research. …”
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Prevalence of Growth Disorders in a Nationally Representative Sample of Iranian Adolescents According to Socioeconomic Status: The CASPIAN-III Study by Maryam Bahreynian, Mohammad Esmaeil Motlagh, Mostafa Qorbani, Ramin Heshmat, Gelayol Ardalan, Roya Kelishadi

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Short-Range Nonstationary Clutter Suppression for Airborne KA-STAP Radar in Complex Terrain Environment by Yuanyi Xiong, Wenchong Xie, Yongliang Wang, Wei Chen, Ming Hou

“…The method first accurately registers the airborne radar echo with the grid dots of the digital terrain database; next, the training samples are selected along the equal Doppler line based on prior knowledge; then, the training samples can be compensated through power compensation; and finally, the short-range nonstationary clutter is suppressed through 3D-STAP technology. …”
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INKA, an integrative data analysis pipeline for phosphoproteomic inference of active kinases by Robin Beekhof, Carolien van Alphen, Alex A Henneman, Jaco C Knol, Thang V Pham, Frank Rolfs, Mariette Labots, Evan Henneberry, Tessa YS Le Large, Richard R de Haas, Sander R Piersma, Valentina Vurchio, Andrea Bertotti, Livio Trusolino, Henk MW Verheul, Connie R Jimenez

“…This multipronged, stringent analysis enables ranking of kinase activity and visualization of kinase–substrate networks in a single biological sample. To demonstrate utility, we analyzed (i) cancer cell lines with known oncogenes, (ii) cell lines in a differential setting (wild‐type versus mutant, +/− drug), (iii) pre‐ and on‐treatment tumor needle biopsies, (iv) cancer cell panel with available drug sensitivity data, and (v) patient‐derived tumor xenografts with INKA‐guided drug selection and testing. …”
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How to Perform a Postgraduate Research and Write a Scientific Paper: The Underpinning Facts! by Mohanchandra Mandal, Soma Chakraborty, Debojyoti Das, Suman Chattopadhyay, Suchitra Pal

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A review on label cleaning techniques for learning with noisy labels by Jongmin Shin, Jonghyeon Won, Hyun-Suk Lee, Jang-Won Lee

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Selective Isomorphism of Silicon, Aluminium and Titanium in the Extra-Large Pore Zeolite-Like Germanate IPC-3 by Oleksiy V. Shvets, Natalia V. Kasian, Volodymyr G. Ilyin

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<p><strong>Kin recognition in three samples of <em>Phytoseiulus</em> <em>persimilis</em> (Acari: Phytoseiidae)</strong></p> by Abolfazl Zeraatkar, Azadeh Zahedi Golpayegani, Alireza Saboori

“…Here, we have investigated either prior association or relatedness would affect the predatory mite, Phytoseiulus persimilis prey choice for cannibalism. Three samples of the predator including UT (University of Tehran), iso-females provided from UT and Turkey population with different degrees of relatedness, were introduced to the prospective cannibal which was selected from the iso-female line. …”
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3D‐TabNetHS: A hyperspectral image classification method based on improved interpretable 3D attentive TabNet by Ning Li, Daozhi Wei, Shucai Huang, Yong Zhang

“…Compared with other HSI classification methods based on decision trees, the HSI classification accuracy of 3D‐TabNetHS is higher. On three typical HSI datasets, the accuracy metric overall accuracy of 3D‐TabNetHS reached as high as 98.71%, 94.73%, and 97.23%, respectively. …”
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Effect of Temperature on The Concentration of Ascorbic Acid in Three Selected Varieties of Cabbage Sold in Kabale Municipality Kabale District. by Bagambaki, Paul

“…The concentration of ascorbic acid in the three selected cabbage varieties (red, green, and white) was determined by redox titration of the solutions extracted with a standard solution of potassium iodate in the presence of potassium iodide, hydrochloric acid, and starch indicator. …”
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