NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

“…In this model, we select data from historical discharge experiments as the input of the NSGT model, and use the improved Transformer structure to model the global features of the multi - source fused data. …”
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Thiophosphate-Based Covalent Organic Framework (COF) or Porous Organic Polymer (POP)? by Christophe Menendez, Yannick Coppel, Baptiste Martin, Anne-Marie Caminade

“…There are few examples of covalent organic frameworks (COFs) based on phosphorus as the building element, probably because the structure of most phosphorus derivatives is pyramidal, which may prevent the stacking expected for classical 2-dimensional COFs. …”
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Topological Harmonic Generation of Nonlinear Optical Skyrmions by Zijian Lyu, Jingze Li, Peizeng Li, Yiqi Fang, Yunquan Liu

“…Skyrmions are quasi-particles with a topologically stable structure, having widespread relevance in fields like condensed matter physics, plasmonics, and photonics. …”
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Long and short-term perspectives on space–time landslide modelling by Tengfei Wang, Kunlong Yin, Zheng Wang, Zhice Fang, Ashok Dahal, Luigi Lombardo

“…The method of choice used across all the experiments corresponds to a Generalized Additive Model, whose structure will account for linear, nonlinear, spatial, and temporal effects.…”
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Effect of Dry-Wet Circulation on Moisture Absorption of Autoclaved Aerated Concrete by Xiao He, Jian Yin, Jiewen Yang, Qiao Liang, Songyun Wu

“…For autoclaved aerated concrete, dry-wet circulation is the main actual service environment and can directly affect moisture absorbability, which influences cracking performance of structure. In this study, autoclaved aerated concrete with dry-wet circulation times of 0, 30, 60, 150, and 270 is selected. …”
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Attrition behavior analysis of four oxygen carriers in the in-situ redox jet attrition reactor by Xianyu Liu, Xin Wu, Daofeng Mei, Jinchen Ma, Haibo Zhao

“…Post-testing characterizations are conducted, including particle size distributions of consumed particles and captured powders, structure properties, and compositional evolution. …”
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Feature learning and generalization in deep networks with orthogonal weights by Hannah Day, Yonatan Kahn, Daniel A Roberts

“…We speculate that this structure preserves finite-width feature learning while reducing overall noise, thus improving both generalization and training speed in deep networks with depth comparable to width. …”
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Biomimetic Hydrofoil Propulsion: Harnessing the Propulsive Capabilities of Sea Turtles and Penguins for Robotics by Yayi Shen, Zheming Ding, Xin Wang, Zebing Mao, Zhong Huang, Bai Chen

“…Building on this biomechanical foundation, the review critically examines recent advances in biomimetic flexible hydrofoils that enhance propulsion efficiency through three synergistic mechanisms to enhance thrust generation, while identifying key challenges in material durability and non-linear fluid–structure interactions. The review then surveys existing hydrofoil actuation systems, which commonly reproduce coupled motions with multiple degrees of freedom (DOFs). …”
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On the non-parametric changepoint detection of flow regimes in cyclone Amphan by Venkat Shesu Reddem, Venkata Jampana, Ravichandran Muthalagu, Venkateswara Rao Bekkam, Pattabhi Rama Rao Eluri, Srinivasa Kumar Tummala

“…This article explores the possibility of using a non-parametric algorithm to identify different flow regimes using a one-month long time-series data of the near-surface parameters. The changes in the structure of the time series signal were statistically segmented using an unconstrained non-parametric algorithm. …”
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MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment by Zhesheng Cheng, Yingdan Wu, Fang Tian, Zaiwen Feng, Yan Li

“…Focus is placed on designing the local–global image feature fusion module (LG-IFFB) and the adaptive image contrast enhancement module (AICEB), in which the LG-IFFB adopts the local–global dual-branching structure to extract multi-scale image features, and utilizes the element-by-element multiplication method to fuse the local details with the global illumination distribution to alleviate the problem of serious loss of image details, while the AICEB incorporates linear contrast enhancement and confidence adaptive stopping mechanism, which dynamically adjusts the computational depth according to the confidence of the feature map, balancing the contrast enhancement and computational efficiency. …”
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Flexible sensor based on self-assembly of halloysite nanotubes in ionic liquids/thermoplastic polyurethane composites by Xiuqi Zhou, Jiajun Chen, Wenwu Zhang, Wenming Zhao, Qinghu Wang, Xiongqi Peng

“…The HNT obtained orderly arrangement structure after shear process, which provides effective ionic transport channels for IL. …”
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A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal by Dylan J. Keel, Katie Karpenko, Scott M. Blankenship, Gregg Schumer, Oshun O’Rourke, Carl O. Ostberg, Daniel A. Chase, Jeffrey J. Duda

“…Anticipating the acceleration of omics innovation, we preserved samples for long-term storage and identified requisite phases for sustained function and adaptation of the molecular library: securing a physical storage facility for genetic material, establishing a governance structure, and confirming support for archive management.…”
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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…Furthermore to select the local best individual for the habitat to be migrated an adaptive local topological structure has been used. We name it as “Adaptive Neighbourhood for Locally and Globally Tuned Biogeography Based Optimization algorithm (ANLGBBO)”. …”
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ANALYSIS OF MODELS OF EARLY DEBT REPAYMENT IN THE Generalized CREDIT TRANSACTIONS by Y. E. Kasimov, A. N. Kolesnikov

“…The relationship of this rule with the linear approximation of the exact value; redeemable debt is determined. …”
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Related factors and prognostic significance of predialysis blood pressure variability by LV Yu-feng, DONG Hai-xia

“…Objective To study the clinical variables that may plausibly influence predialysis systolic blood pressure variability(SBPV),and to investigate the correlations of predialysis SBPV with all-cause mortality in patients receiving prevalent maintenance hemodialysis(MHD).Methods A total of 50 patients were enrolled in the study.All the blood pressure values before each dialysis were recorded between March and May in 2011.The mean systolic pressure(SBP)was calculated,and SBPV was estimated with the coefficient of variability.During the three months,clinical data and related biochemical parameters were collected,and echocardiography was carried out to detect cardiac structure and function.Death events were recorded during the next five years.Results The predialysis SBPV was 8.5% ±2.1%.SBPV showed a positive correlation with the age,body mass index(BMI)and left atrial diameter(LAD)(P<0.05 for all).Meantime,SBPV showed a negative correlation with the serum creatinine(SCr),average DBP,parathyroid hormone(PTH),doses of calcium carbonate and activated vitamin D(P<0.05).Patients with diabetes mellitus(DM),coronary artery disease(CAD)or taking alfablocker had higher SBPV(P<0.05).SBPV was used as a variate for conducting the multiple linear regression analysis,after adjustment,the seven variables of age,DM,CAD,BMI,LAD,SCr and taking alfa-blocker maintained their associations with predialysis SBPV(P<0.05).The equation of R~2=0.630.During 5 years of follow-up,12 patients died(24.0%).The Kaplan-meier survival analysis showed that the predialysis SBPV elevation was associated with the mortality rate(P<0.01).Conclusions Advanced age,the history of DM and/or CAD,lower SCr,higher BMI and LAD,and taking alpha-blocker were the independent risk factors of increased predialysis SBPV.The predialysis SBPV increase is associated with all-cause mortality in patients given prevalent MHD.…”
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Characterization and predictive modelling of quasi-saturated hydraulic conductivity across land use systems in the Northwest Himalayas by Deepak Singh, Nisha Singh, Harendra Singh, Sadikul Islam, Anuj Kumar Dwivedi, C. S. P. Ojha, Anupam Barh

“…Results showed that forested lands exhibited superior soil structure and water dynamics: porosity was highest in deodar (TP: 0.49) and oak (TP: 0.48) soils, while barren land had the lowest (TP: 0.41). …”
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Interaction of Growth Pole and Shannon’s Entropy in Banda Aceh City by Noer Fadhly, Muhammad Rusdi, Alfa Taras Bulba

“…The results of identifying the factors influencing the development of urban sprawl, such as the distance to the CBD, the GRDP of Banda Aceh City, changes in land use, housing demand, and the availability of infrastructure facilities in the districts of Banda Aceh City, can be concluded that there is an influence of urban sprawl on the spatial structure and regional patterns in Banda Aceh City.…”
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Genome wide association studies in yam reveal the challenge of high heterozygosity by Paterne A. Agre, Kwabena Darkwa, Iseki Kohtaro, Ryo Matsumoto, Asrat Asfaw

“…Association analysis was performed using a multi-locus mixed linear model (MLM), incorporating kinship matrices derived from marker subsets grouped by PIC levels (≤ 0.1, 0.1–0.2, 0.2–0.4, and > 0.4), alongside population structure. …”
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3D finite element models reveal regional fatty infiltration modulates tibialis anterior force generating capacity in FSHD. by Allison McCrady, Seth Friedman, Leo Wang, Dennis Shaw, Rabi Tawil, Jeffery Statland, Stephen Tapscott, Silvia Blemker

“…Additional imaging studies have identified regional fat infiltration patterns that may contribute to the non-linear relationship between fat volume and muscle strength due to the distribution of fat within the muscle structure. …”
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Cellular Automata-Based Parallel Random Number Generators Using FPGAs by David H. K. Hoe, Jonathan M. Comer, Juan C. Cerda, Chris D. Martinez, Mukul V. Shirvaikar

“…To improve the quality of the random numbers that are generated, the basic CA structure is enhanced in two ways. First, the addition of a superrule to each CA cell is considered. …”
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