Research on Quantitative Analysis Method of Infrared Spectroscopy for Coal Mine Gases by Feng Zhang, Yuchen Zhu, Lin Li, Suping Zhao, Xiaoyan Zhang, Chaobo Chen

“…For gases with distinct absorption peaks, three spectral lines, including the absorption peak and its adjacent troughs, were selected for quantitative analysis. Spline fitting, polynomial fitting, and other curve fitting methods are used to establish a functional relationship between characteristic parameters and gas concentration. …”
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Functional radical cervical dissection for differentiated thyroid cancer: the experience of a single center by Adrian Tulin, Lucian Alecu, Catalina Poiana, Luminita Tomescu, Iulian Slavu, Raluca Tulin, Silviu Pituru, Cristina Orlov, Radu Jecan, Cristian Balalau, Anca Pantea Stoian, Razvan Hainarosie, Cornelia Nitipir

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Sensitivity of the auroral zones to temporal changes in Earth’s internal magnetic field by Maffei Stefano, Livermore Philip W., Mound Jonathan E.

“…Here we attempt to fill this gap via the introduction of a novel technique, based on a Green’s function approach, that allows exploration of the sensitivity of the auroral zones to regional changes of the internally generated magnetic field at the core-mantle-boundary (CMB). …”
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Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

“…The proposed model, based on the functional-network principle, aims to address these issues by facilitating the integration of transport modes and standardizing approaches to performance evaluation. …”
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Identification of candidate genes for reproductive traits in Xinjiang sheep breeds based on genomic structural variation by Jiaqi Li, Sulaiman Yiming, Wenxin Zheng, Weiwei Wu, Jingdong Bi, Fengming Li, Mengting Zhu

“…Principal component analysis and phylogenetic tree results revealed a close genetic relationship between Hammari and Kabashi sheep. Selection signal analysis, gene annotation, and enrichment analysis led to the identification of potential functional SVs associated with reproductive traits, including FSHR, ADCY5, and MTNR1A. …”
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Impact of PEGylation and hyaluronan functionalization on lipoplex-mediated mRNA delivery to the canine retina by Tatyana Appelbaum, David A. Smith, Kei Takahashi, Jennifer C. Kwok, Hannah Sorenson, William A. Beltran

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Bayesian estimation of pore size distribution in porous carbon using a novel GCMC-based kernel incorporating surface roughness by Shotaro Hiraide, Naruaki Fuse, Kohei Yamamoto, Hideki Tanaka, Kazuyuki Nakai, Satoshi Watanabe

“…Porous carbons play vital roles in adsorption-based applications, and their pore size distributions (PSDs) are crucial for performance. Kernel-based inversion of adsorption isotherms is the standard route to obtain PSDs, yet it still faces technical limitations. …”
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Expression characteristics and functional identification of PpD2 gene in peach (Prunus persica) by XIE Hefang, ZHANG Yajia, ZHANG Junjie, LIAN Xiaodong, ZHANG Haipeng, CHENG Jun, WANG Wei, HOU Nan, WANG Lei, ZHENG Xianbo, FENG Jiancan, WANG Xiaobei, TAN Bin

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Highly selective and efficient phosphate removal from water bodies using triethanolamine-assisted glycine-intercalated layered double hydroxide composites by Gaole Yan, Hongtao Wu, Haining Ja, Xianghai Li, Gang Yang

“…Additionally, TEA-Gly-LDH demonstrates excellent selectivity for phosphate, with a distribution factor of 2.73 × 104 in a mixed-ion system, surpassing the 2.39 × 103 of unmodified hydrotalcite. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…The objective function of the optimization problem is defined as the sum of squared errors of the actual and predicted voltage data. …”
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Dynamic Reconfiguration of Functional Topology in Human Brain Networks: From Resting to Task States by Wenhai Zhang, Fanggui Tang, Xiaolin Zhou, Hong Li

“…Task demands evoke an intrinsic functional network and flexibly engage multiple distributed networks. …”
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The symbiont Wolbachia increases resistance to bifenthrin in Ectropis grisescens by regulating the host detoxification function by Tian Gao, Yong Zhang, Wanpeng Sun, Qiangkun Li, Xueyu Huang, Dian Zhi, Huabin Zi, Ruijie Ji, Yanhua Long, Chunmei Gong, Yunqiu Yang

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On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

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Bayesian Denoising Algorithm for Low SNR Photon-Counting Lidar Data via Probabilistic Parameter Optimization Based on Signal and Noise Distribution by Qi Liu, Jian Yang, Yue Ma, Wenbo Yu, Qijin Han, Zhibiao Zhou, Song Li

“…First, a simulation framework based on ATL03 data generates point clouds with ground truth labels under varying SNRs, achieving correlation coefficients > 0.9 between simulated and measured distributions. The algorithm then extracts surface profiles via MST and coarse filtering, fits slopes with >0.9 correlation to reference data, and derives the probability distribution function (PDF) of neighborhood photon counts. …”
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Diversity and Abundance of Breeding Birds, Habitat, and Nesting Substrate Selection in Urban Areas: A Relevant Case from the Southern Slope of the Mediterranean by Ikram Douini, Wafae Squalli, Ismail Mansouri, Mohamed Mounir, El-Mostafa Benka, Mohamed Dakki, Soumaya Hammada

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A Nonlinear Deep Learning Model for Oxygen Content of Flue Gas by TANG Zhenhao, LI Yanyan, CAO Shengxian

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Human disturbance influences occupancy of red deer in Mongolia by Rhiannon R. Henderson, Brittany A. Mosher, Rebecca Watters, Tumursukh Jal, James D. Murdoch

“…We used camera trap data and a model selection approach to evaluate the support for 25 hypotheses describing elk occupancy and detection probability as a function of single and additive combinations of variables. …”
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Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions. by Sergio Rojas-Galeano, Emily Hsieh, Dan Agranoff, Sanjeev Krishna, Delmiro Fernandez-Reyes

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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

“…To improve generalizability and robustness to different types of distribution shifts, the developed ML models combine traditional methodologies with advanced techniques inspired by controllable artificial intelligence (AI), namely cautious classification, which gives the ML models the ability to abstain from making predictions, and explainable AI, which provides health operators with useful information about the models’ functioning. …”
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Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

“…An initial dataset comprising of 85 variables was compiled, including individual spectral bands, band ratios, vegetation indices, and three-band indices. Two feature selection techniques—Sequential Backward Floating Selection and Exhaustive Feature Selection—were employed to identify the optimal subset of variables. …”
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