Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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Research on Submarine Cable Buried Depth Monitoring Technology based on Brillouin Effect by WU Kun, WU Mingnian, CHEN Qingqing, WU Zhengming, XIE Shuhong, WANG Daogen, LI Songlin

“…After training and optimization, it outputs the predicted burial depth status.【Results】The proposed BPNN model can effectively capture the nonlinear relationship between the temperature change and the buried depth of the submarine cable, and obtain the relationship between the buried depth state of the submarine cable with the distance, so as to realize the prediction of the buried depth state of the submarine cable.…”
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Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning by Cai Chen, Jian Wang, Dong Li, Xiaohu Sun, Jiyong Zhang, Changjiang Yang, Bo Zhang

“…Our research results show that: (1) Within the Sixth Ring Road of Beijing, GVI shows significant spatial clustering phenomenon and positive correlation linkage, and at the same time exhibits significant spatial differences; (2) Among many environmental variables, the increase of green coverage rate has the most significant positive effect on GVI, while the increase of building density shows a strong negative correlation with GVI; (3) The performance of the GWRF model in predicting GVI is excellent and far exceeds that of comparison models.; (4) Whether it is the green coverage rate, urban built environment or socioeconomic factors, their influence on GVI shows non-linear characteristics and a certain threshold effect. …”
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SAR Estimations in a Classroom with Wireless Computers by Norton Escopelli Soares, Giovani Bulla, Claudio E. Fernández-Rodríguez, Alvaro A. A. de Salles

“…Abstract This research provides detailed examination of the peak spatial Specific Absorption Rate (psSAR) in different age students in a classroom with wireless computers. …”
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A Study on the Changes of Urban System Pattern in Markazi Province by Alireza Sayyafzadeh, Mohammad Mireh, Morteza Nodeh Farahani

“…This distribution has been measured using mathematical and statistical models. Urban system is spatial visualization of political economy and land management. …”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…Furthermore, we illustrate the computational complexity reduction by harnessing the power of DL models. We believe that this work lays the framework for further innovations in the realm of OCT image reconstruction.…”
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Evaluation of Slope Stability and Landslide Prevention in a Closed Open-Pit Mine Used for Water Storage by Pengjiao Zhang, Yuan Gao, Yachao Liu, Tianhong Yang

“…To study and quantify the impact of water storage on lake slope stability after the closure of an open-pit mine, we targeted slope control measures by large-scale parallel computing methods and strength reduction theory. This was based on a three-dimensional refined numerical model to simulate the evolution of slope stability under different water storage levels and backfilling management conditions, and to quantitatively assess the risk of slope instability through the spatial distribution of stability coefficients. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…Further, the model employs principal component analysis (PCA) for dimensionality reduction and gradient boosting machines (GBMs) for semantic conflict resolution. …”
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Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

“…In the ablation experiments, the reduction of each module reduces the accuracy of detection. …”
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Evaluation of flexural deformation of a lightweight fabricated GFRP emergency bridge with a novel broken-line prestressed cable system by Chenglin Liu, Feng Li, Ruijie Zhu, Ming Ni

“…The flexural deformation caused by dead load, live load, prestressing, and clearance effect, considering the axial deformation and spatial angle reduction effect of the steel wire cables, was proposed based on the flexibility method. …”
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Regional Analysis of Gender Inequality in the Kazakh Labor Market in the Context of Sustainable Development by G. N. Nyussupova, G. B. Aidarkhanova, L. B. Kenespayeva, G. B. Aubakirova

“…In this study, the authors tried to model spatial indicators of gender inequality in the labor market of the Republic of Kazakhstan. …”
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Spatiotemporal analysis of tropospheric nitrogen dioxide hotspot over Lahore Division in Pakistan by Muhammad Zeeshan

“…Abstract This study analyzes spatial and temporal trends in tropospheric nitrogen dioxide (NO2) concentrations across the Lahore Division, Pakistan, drawing on 18 years (2007–2024) of observational data from NASA’s Ozone Monitoring Instrument (OMI) Aura satellite. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…The Shape Coding PointAttN (SCPAN) algorithm is also proposed, which is based on PointAttN. The model’s structure is simplified to output sparse point clouds and minimize computational complexity, and a gated multilayer perceptron (MLP) containing 3D position coding is introduced to enhance the model’s spatial awareness. …”
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Particle size and inter-particle spacing effect on thermal performance of MHD copper nanofluid flow over dual-stretching rectangular frame: ANN-based simulations by Adil Darvesh, Fethi Mohamed Maiz, Luis Jaime Collantes Santisteban, Talha Anwar, Khalid Almutairi

“…The resulting system is solved using the bvp4c framework, while artificial neural network (ANN) is developed to train the solution data for robust predictions under varying parameter conditions. It is worth noting that the proposed ANN model yields a mean squared error (MSE) of 1.679e−10 and a regression coefficient of 1, which indicates the excellent predictive accuracy and ensures model efficacy. …”
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Assessing the declining trend in soil erodibility across China: A comparison of conventional and digital K-factor maps by Zhiyuan Tian, Yan Zhao, Longxi Cao, Yuan Zhao, Yin Liang

“…A digital K-factor map at the 250 m spatial resolution was generated by calculating the K values from soil survey points as training data and using environmental information as predictive variables. …”
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Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation by Sercan Yalcin, Zuhal Cetin Yalcin, Muhammed Yildirim, Bilal Alatas

“…The proposed framework achieved an accuracy of 0.978, precision of 0.979, recall of 0.967, F1-score of 0.973, specificity of 0.991, Cohen’s kappa of 0.979, and negative predictive value (NPV) of 0.990. These metrics significantly outperform baseline models, highlighting the MTA-CNN’s ability to accurately identify and classify ALL cases. …”
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A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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Research on dynamic uplift of contact wires in high-speed railway by TANG Yang

“…This paper aims to study the dynamic behaviors of the pantograph-catenary system for high-speed railway lines, focusing on the overall uplift data of contact wires. To achieve this, models of overhead contact systems (OCS) were established for four typical high-speed railway systems, along with three-degree-of-freedom models with reduction parameters for three types of high-speed pantographs. …”
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Delineation of future urban growth boundaries on the Qinghai-Xizang Plateau by integrating socioeconomic development and ecosystem services conservation by Qiaoxian Bai, Zhifeng Liu, Binghua Gong, Shuhui Liu, Xufeng Mao, Chunyang He

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Population Shrinkage and Spatio-Temporal Changes in Cultivated Land Use Efficiency in China’s Agro-Pastoral Ecotone by Lu Chen, Ning Zhao, Zhixun Zhang, Yun Zhang, Wenjie Zuo, Youshuo Wang, Bin Wu, Monika Stanny, Yuheng Li, Guoming Du

“…In this paper, using the stochastic frontier production function and a Tobit regression model, we reveal the current situation of rural population shrinkage in the agro-pastoral ecotone in northern China and the spatial and temporal evolution characteristics of cultivated land use efficiency, and identify influencing factors based on the perspective of “human–land”. …”
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