From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

“…For this we calculate accuracy as a function of validation set size, and thus ensure sufficient data is allocated for evaluation. …”
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Neurocognition as a major predictor of 8-week response to antipsychotics for drug-naïve first-episode schizophrenia using machine learning by Xianghe Wang, Tianqi Gao, Xiaodong Guo, Bingjie Huang, Yunfei Ji, Wanheng Hu, Xiaolin Yin, Yue Zheng, Chengcheng Pu, Xin Yu

“…Six machine learning algorithms, including random forest, eXtreme gradient boosting (XGBoost), logistic regression, linear support vector machine (SVM), radial basis function SVM and poly SVM were applied and compared to draw the prediction model. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…The method’s optimization was carried out using the Box-Behnken design, whereas the optimized conditions were selected according to the desirability function. Validation of the method was done with the International Council for Harmonization, ICH Q2(R2) Guidelines. …”
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Temporal Shift When Comparing Contrast-Agent Concentration Curves Estimated Using Quantitative Susceptibility Mapping (QSM) and ΔR2*: The Association Between Vortex Parameters and... by Ronnie Wirestam, Anna Lundberg, Linda Knutsson, Emelie Lind

“…Vortex curves for grey-matter (GM) regions and for arterial input function (AIF) data were constructed by plotting concentration based on GRE transverse relaxation rate versus concentration based on QSM. …”
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Analytical modelling of cillia- driven prandtle fluid flow in a horizontal tube with viscous dissipation using homotopy perturbation method by Saira Muhammad Hussain, Aqila Shaheen, Ali Hasan Ali, Ali Raza, Ahmed M. Abed

“…The structure of the equations is solved analytically, and graphical representations illustrate the pressure gradient, pressure rise, stream function, and velocity. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…Additionally, we employ an improved residual network structure combined with a refined Charbonnier loss function to alleviate gradient vanishing and exploding to enhance the robustness of model training. …”
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Calculation and Forecast of Glacial Feeding in River Basins by V. G. Konovalov

“…The annual vertical profiles of mean air temperature of April T4 = T4(Z), summer ones Ts = Ts(Z), and formulas for calculating Ts as a function of T4 are constructed and used for the calculations. …”
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…In response to the persistent high-frequency signature identified within crack feature distributions, a dual-domain structural feature enhancement loss function is designed, which elevates the weighting of high-frequency information by leveraging a spectral weighting matrix, while complementarily enhancing crack edge texture features in the spatial domain through gradient map integration. …”
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Identification of New Angiotensin-Converting Enzyme Inhibitory Peptides Isolated from the Hydrolysate of the Venom of <i>Nemopilema nomurai</i> Jellyfish by Ramachandran Loganathan Mohan Prakash, Deva Asirvatham Ravi, Du Hyeon Hwang, Changkeun Kang, Euikyung Kim

“…The docking studies of the two ACE-inhibitory peptides for ACE molecule demonstrated a binding affinity of −51.4 ± 2.5 and −62.3 ± 3.3 using the HADDOCK scoring function.…”
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Invasive common milkweed strongly simplifies insect flower-visiting networks by Edina Török, Riho Marja, Ágota Réka Szabó, Róbert Gallé, Péter Batáry

“…More diverse networks were observed in the control areas. Functional complementarity and the cluster coefficient of networks were significantly higher in milkweed-invaded areas compared to control areas during milkweed flowering. …”
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Association between Loa loa microfilaremia and anatomical hyposplenia in a rural area of the Republic of Congo: a population-based cross-sectional study by Charlotte Boullé, Elodie Lebredonchel, Jérémy T. Campillo, Valentin Dupasquier, Marlhand C. Hemilembolo, Sébastien D. S. Pion, Jean Claude Djontu, Ludovic Rancé, Philippe Souteyrand, François Missamou, Michel Boussinesq, Francine Ntoumi, Cédric B. Chesnais

“…This could result in functional hyposplenia and a higher burden of infections. …”
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Spatiotemporal changes of ecosystem health and the impact of its driving factors on the Loess Plateau in China by Xuepeng Zhang, Taixia Wu, Qiqi Du, Ninglei Ouyang, Wei Nie, Yang Liu, Peng Gou, Guangchao Li

“…The efficient machine learning model (light gradient boosting machine model) and the variable explanation model (SHapley Additive exPlanation model) are combined to quantify the functional relationships between various driving factors and EH, thereby exploring the impacts of climatic factors, socioeconomic development (SED), and ecological restoration projects (ERP) on EH. …”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…The ML-based modeling method developed overcomes the difficulty of the determination of the functional relationship between nitrate loss intensity and its influencing factors, providing a data-driven solution for estimating nitrate–nitrogen loss in farmlands in North China and strengthening sustainable agricultural practices.…”
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Contrasting Trends in Plant Diversity and Soil Carbon Mineralization Under Precipitation‐Driven Vegetation and Soil Carbon Dynamics in the Mongolian Plateau by Jia Mi, Fei Wang, Jing Shi, Qianju Wang, Haiyan Pang, Jianhao Yu, Dima Chen, Yongfei Bai

“…To study this mechanistic relationship, we established 12 sampling sites along an east–west precipitation gradient across the China‐Mongolia steppe. We measured plant diversity and biomass for both species and functional groups in 12 grassland sites. …”
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New energy effect in non-cylindrical domains with a thermally insulated moving boundary by E. M. Kartashov

“…A new mathematical apparatus for the equivalence of functional constructions for the originals of the obtained operational solutions, which considers the computational difficulties in finding analytical solutions to boundary value problems for equations of hyperbolic type in the domain with a moving boundary, is developed.Results. …”
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Left Ventricular False Tendons: Echocardiographic, Morphologic, and Histopathologic Studies and Review of the Literature by Saji Philip, Kottureth Mammen Cherian, Mei-Hwan Wu, Hung-Chi Lue

“…LVFTs are a cause of functional murmur. No pressure gradient was noted in the mid-LV or outflow tract. …”
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DFT simulation to study the mechanical, electronic, thermal and superconducting properties of borocarbides materials AX2B2C where A = Y, La, Th and X = Pd, Pt by Md. Atikur Rahman, Asma Khatun, Dayal Chandra Roy, Mezba Chowdhury, Ahmad Irfan

“…To explore the physical features of AX2B2C (A = Y, La, Th and X = Pd, Pt) we used the well-known density functional simulation (DFT) in addition to generalized gradient approximations (GGA). …”
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Flavonoids and Saponins from Two <i>Chenopodium</i> Species (<i>C. foliosum</i> Asch. and <i>C. bonus</i>-<i>henricus</i> L.)—Preliminary Evaluation for hMAO-A/B, Neuroprotective A... by Magdalena Kondeva-Burdina, Dona Panayotova, Paraskev T. Nedialkov, Zlatina Kokanova-Nedialkova

“…The main parameters characterizing the functional–metabolic status of subcellular fractions are synaptosomal viability, GSH level, and MDA production. …”
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Nine years of in situ soil warming and topography impact the temperature sensitivity and basal respiration rate of the forest floor in a Canadian boreal forest. by Charles Marty, Joanie Piquette, Hubert Morin, Denis Bussières, Nelson Thiffault, Daniel Houle, Robert L Bradley, Myrna J Simpson, Rock Ouimet, Maxime C Paré

“…Both soil warming and CNA had no significant effect on forest floor chemistry (e.g., C, N, Ca and Mg content, amount of soil organic matter, pH, chemical functional groups). The NMR analyses did not show evidence of significant changes in the forest floor organic C quality. …”
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