γ-Ray irradiated polyacrylamide networks enable high-performance Li||S pouch cells by Zhijuan Zou, Pengfei Liu, Ruiyang Dou, Kaijun Liu, Yunlong Wang, Lixian Song, Liping Tong, Guolu Yin, Wenbin Kang, Wenlong Cai, Yaping Zhang, Hongbing Chen, Yingze Song

“…Abstract Binders are essential for maintaining positive electrode integrity in Li||S batteries and significantly affect their performance. However, commercial linear binders often have disordered networks, poor binding efficiency, and insufficient mechanical strength. …”
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An Electrochemical Aptasensor for Accurate and Sensitive Detection of Exosomes Based on Dual-Probe Recognition and Hybridization Chain Reaction by Haojie Ma, Jie Li, Mengjia Gao, Yan Dong, Yi Luo, Shao Su

“…According to this phenomenon, a linear relationship of this proposed aptasensor was achieved between the electrochemical response and 1 × 10²–1 × 10⁷ particles/mL exosomes, with a detection limit of 45 particles/mL. …”
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Integration of UAV Multi-Source Data for Accurate Plant Height and SPAD Estimation in Peanut by Ning He, Bo Chen, Xianju Lu, Bo Bai, Jiangchuan Fan, Yongjiang Zhang, Guowei Li, Xinyu Guo

“…Plant height and SPAD values are critical indicators for evaluating peanut morphological development, photosynthetic efficiency, and yield optimization. Recent unmanned aerial vehicle (UAV) technology advancements have enabled high-throughput phenotyping at field scales. …”
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Comparison of 10-year atherosclerotic cardiovascular disease (ASCVD) risk in metropolitan and rural areas of South of Iran by Mohammad Javad Zibaeenezhad, Mehrab Sayadi, Hossein Pourmontaseri, Davood Khalili, Mojtaba Farjam, Ehsan Bahramail, Nader Parsa, Azizallah Dehghan, Seyyed Saeed Mohammadi, Iman Razeghian-Jahromi, Hamed Bazrafshan drissi, Matin Sepehrinia

“…Data was extracted from two big cohorts, Fasa Adults Cohort Study (FACS) and Shiraz Heart Study (SHS), with participation of over 12,000 general population. Linear regression models were used to test the difference in CVD risk between two populations. …”
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Comparative evaluation of hybrid and individual models for predicting soybean yellow mosaic virus incidence by Yunish Khan, Vinod Kumar, Amel Gacem, Anurag Satpathi, Parul Setiya, Kumari Surbhi, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, Ahmad J. Obaidullah, Krishna Kumar Yadav, Ozgur Kisi

“…These findings highlight the superior efficiency of hybrid models in predicting soybean disease severity based on weather indices in the study region.…”
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CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model by Shanwei Liu, Shuaipeng Wang, Wei Zhang, Tao Zhang, Mingming Xu, Muhammad Yasir, Shiqing Wei

“…Recently, the Mamba architecture, based on state-space models, has demonstrated strong global receptive field capabilities and implements linear time complexity in computational processes. …”
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Generation of the First-Order OAM Modes in Ring Fibers by Exerting Pressure Technology by Yu Zhang, Fufei Pang, Huanhuan Liu, Xiangqing Jin, Sujuan Huang, Yingchun Li, Jianxiang Wen, Zhenyi Chen, Min Wang, Tingyun Wang

“…Moreover, we have demonstrated that the coupling efficiency from the fundamental mode to the first-order OAM modes at wavelength of 1550 nm can reach 67%.…”
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Resting‐State Functional Connectivity of Sensorimotor and Default Mode Networks and Lower Limb Performance in Chronic Stroke: A Cross‐Sectional Study by Svetlana Pundik, Margaret M. Skelly, Jessica P. McCabe, Ahlam I. Salameh, Trenley Anderson, Kelsey Rose Duncan, Terri Hisel, Sarah J. A. Carr

“…Relationship of ROI–ROI connectivity and clinical measures or lesion load was assessed using general linear models. Graph theory metrics (global efficiency, clustering coefficient, and betweenness centrality) were related to clinical measures using elastic nets analysis. …”
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Impact of perioperative enteral nutrition on postoperative acute muscle wasting in gastric cancer: a prospective exploratory study with a historical control group by Xing Zeng, Xing Zeng, Xuan Ni, Zhili Shen, Dong Yang, Yajing Gu, Ai Li, Hui Liu, Changdi Li

“…After adjusting for confounding factors such as age, gender, nutritional risk screening 2002(NRS 2002) score, education level, diabetes comorbidity, tumor staging, surgical approach, intraoperative blood loss, and operation time, multivariate linear regression analysis showed that the EN program independently influenced the loss rates of skeletal muscle mass, grip strength, and body weight (p<0.01).ConclusionThe perioperative EN program for GC developed in this study enables medical staff to efficiently gather relevant information, providing a more comprehensive and holistic approach to EN for GC patients. …”
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In-situ graphene modified pencil graphite electrode for the simultaneous electrochemical detection of ascorbic acid, dopamine and uric acid by Pham Van Dat, Le Khanh Toan, Pham Huyen Thuong, Nguyen Van Anh, Nguyen Van Thuc, Nguyen Xuan Viet

“…The corresponding limits of detection (S/N = 3) were 30.0 μM for AA, 0.047 μM for DA, and 0.17 μM for UA, with linear detection ranges of 50.0–300.0 μM (AA), 0.05–4.0 μM (DA), and 1.0–15.0 μM (UA), respectively. …”
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Stable Isotopes Reveal the Drivers of Post‐Wildfire Natural Regeneration of Interior Douglas‐Fir Seedlings in British Columbia by Julie McAulay, José Ignacio Querejeta, Gabriel Danyagri, Bianca N. I. Eskelson, Timothy J. Philpott, Sari C. Saunders, Eliot Mompeán, Ignacio Barbeito

“…Natural regeneration and seedling traits were measured in 2022 and paired with stable isotope analyses (δ13C, δ15N, δ18O) and foliar nutrient assessments. We employed linear mixed‐effects models to assess the impact of burn severity and light, water, and nutrient factors on seedling biomass. …”
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Machine learning for genomic and pedigree prediction in sugarcane by Minoru Inamori, Tatsuro Kimura, Masaaki Mori, Yusuke Tarumoto, Taiichiro Hattori, Michiko Hayano, Makoto Umeda, Hiroyoshi Iwata

“…Abstract Sugarcane (Saccharum spp.) plays a crucial role in global sugar production; however, the efficiency of breeding programs has been hindered by its heterozygous polyploid genomes. …”
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Analysis of the optimum krill oil supplementation strategy for ovarian high-quality development in the female Redclaw crayfish, Cherax quadricarinatus by Zongzheng Jiang, Chang Xu, Xiaolong Yang, Fenglu Han, Meili Chi, Erchao Li

“…The result indicated that linear and quadratic increase of hepatosomatic index and gonadosomatic index by increasing KO level, and reached the peaks at 3 %. …”
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Evaluating stress tolerance indices for their comparative validity to access terminal heat stress and heat drought tolerance of winter wheat (Triticum aestivum L.) genotypes by Radhakrishna Bhandari, Harikala Paudel, Sulaiman Ali Alharbi, Mohammad Javed Ansari, Mukti Ram Poudel, Madhav Prasad Neupane, Pratima Solanki, Ujjawal Kumar Singh Kushwaha

“…Statistical tool such as correlation, linear regression, coefficient of determination (R2), slope of regression line and principal component analysis were performed for the study. …”
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Modelling the impact of total energy consumption on economic growth and carbon emissions in sub-Saharan Africa by Nyeso Christian Azubuike, Sunday Sunday Ikiensikimama, Uche Osokogwu

“…This study addresses this gap by examining the long- and short-run relationships among total energy consumption, economic growth, and carbon footprint in 41 Sub-Saharan African countries from 1990 to 2021 using a panel linear Autoregressive Distributed Lag (ARDL) framework with symmetry tests, while robustness is assessed using the Nonlinear ARDL model and asymmetric causality techniques. …”
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Multi-scale electricity consumption prediction model based on land use and interpretable machine learning: A case study of China by Haizhi Luo, Yiwen Zhang, Xinyu Gao, Zhengguang Liu, Xiangzhao Meng, Xiaohu Yang

“…Using 297 cities and 2,505 counties as case studies, the key findings are as follows: (1) The model demonstrates strong generalization ability (R2 = 0.91), high precision (Kappa = 0.77), and robustness, with an overall prediction accuracy exceeding 80 %; (2) The marginal impact of industrial land on electricity consumption is more complex, with more efficiency achieved by limiting its area to either 104.3 km2 or between 288.2 and 657.3 km2; (3) The marginal impact of commercial and residential land on electricity consumption exhibits a strong linear relationship (R2 > 0.80). …”
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Development and Validation of a Highly Sensitive LC–MS/MS Method for the Precise Quantification of Sitagliptin in Human Plasma and Its Application to Pharmacokinetic Study by Yuna Song, Wang-Seob Shim, Eunseo Song, Yebeen Park, Bo-Hyung Kim, Sangmin Lee, Eun Kyoung Chung, Kyung-Tae Lee

“…Comprehensive validation in line with MFDS and FDA criteria demonstrates outstanding linearity (5–1000 ng/mL, r² > 0.998), alongside impressive levels of accuracy, precision, recovery and sample stability. …”
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Cultivation Practices Affect Biomass Yield and Quality of “Felina 32”, an Industrial Hemp Variety by Kyriakos D. Giannoulis, Dimitrios Bartzialis, Ippolitos Gintsioudis, Nicholaos G. Danalatos

“…The average protein content varied between 10% in 2023 and 14% in 2023. A linear biomass yield–nutrient uptake relationship was found with high <i>R</i>², pointing to a nitrogen use efficiency of 55.15 kg kg⁻¹. …”
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Transition Mechanism Design for Wind Power Participating in Energy Markets by WU Yang, LU Zhilin, ZHU Wenjing, LIU Shuangquan, LENG Yuan, ZHU Xinchun, LIU Mingbo

“…Additionally， the corresponding linearization methods are proposed to handle the product terms involving price， continuous variables， and absolute value terms in the upper objective， eventually transforming the single-level optimization model into a mixed-integer linear programming model. …”
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Effects of different climatic conditions on soil water storage patterns by A. Ehrhardt, A. Ehrhardt, J. Groh, J. Groh, J. Groh, H. H. Gerke

“…</p> <p>Pattern identification and quantification of these variations in SWS remain difficult due to the non-linear behaviour of SWS changes over time. Wavelet analysis (WA) provides a tool to efficiently visualize and quantify these patterns by transferring the time series from the time domain into the frequency domain.…”
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