Climbing behavior and growth response of Mansoa alliacea to various support forms in vertical greening by Piao Jiang, Jinxin Zhu, Shufei Weng, Zhuoran Li, Feican Xu

“…This study evaluated the effects of these supports on plant morphology, photosynthetic parameters, and biomass allocation.Results and discussionThe results showed that climbing nets promoted better above-ground growth, measured as number of leaves, leaf area, stem length, and internode length, while poles more effectively enhanced root branching. Various supports forms influenced biomass distribution. …”
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A wafer-level sealed silicon cavity microacoustic platform for radio frequency integration by Jiashuai Xu, Zijun Ren, Fangsheng Qian, Junyan Zheng, Yansong Yang

“…A surface smoothing method based on wet oxidation for SSC wafers is presented, which achieves a root mean square (RMS) roughness on the cavity surface of 1.5 nm for the first time. …”
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Geographically Aware Air Quality Prediction Through CNN-LSTM-KAN Hybrid Modeling with Climatic and Topographic Differentiation by Yue Hu, Yitong Ding, Wenjing Jiang

“…Comparative experiments demonstrated superior performance with a 23.6–59.6% reduction in Root-Mean-Square Error (RMSE) relative to baseline LSTM models, along with consistent outperformance over CNN-LSTM hybrids. …”
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Screening and identification of grain sorghum germplasm for salt tolerance at seedling stage by Yu Wang, Dongyang Li, Chunjuan Liu, Xiaolong Shi, Yan Huang, Chang Liu, Yufei Zhou

“…A comprehensive salt tolerance evaluation system was constructed using six indicators: shoot length (SL), root length (RL), shoot fresh weight (SFW), root fresh weight (RFW), shoot dry weight (SDW), and root dry weight (RDW). …”
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Detection of Cassava Mosaic Disease and Assessment of Selected Agronomic Traits of Cassava (<i>Manihot esculenta</i>) by Musa Decius Saffa, Alusaine Edward Samura, Mohamed Alieu Bah, Angela Obiageli Eni, Ezechiel Bionimian Tibiri, Adama Sagnon, Fidèle Tiendrébéogo, Justin Simon Pita, Prince Emmanuel Norman, Raymonda Adeline Bernardette Johnson

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Solar Probability Density Estimation Using Adaptive Parametric/Nonparametric Hybrid Model by Maisam Wahbah, Bashar Zahawi, Tarek H. M. El-Fouly

“…The Beta distribution has long been a popular choice in power systems for modeling solar data. …”
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Nutritional Vulnerability of Displaced Persons: A Study of Food Security and Access in Kumba Municipality, Cameroon by Kevin N. Metuge, Betrand A. Tambe, Fabrice Tonfack Djikeng, Aduni Ufuan Achidi, Given Chipili, Xikombiso G. Mbhenyane

“…By promoting sustainable food systems and supporting vulnerable populations, these interventions can contribute to the resilience of both communities and eco-systems in the face of ongoing global challenges.…”
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Study on the effect of nitrogen ion implantation process on the bending fatigue strength of carburized and quenched gear by ZHANG Wei, JIA Huapo, GUAN Rongxin, WANG Xiaopeng, MA Chengtian, XU Yaowei

“…Aiming at optimizing the gear surface modification process, the influence of ion nitrogen implantation on the bending fatigue strength of carburized and quenched gears was studied.Using low-carbon alloy steel 18CrNiMo7-6 carburized and quenched gears as the matrix, nitrogen ion implantation treatment was carried out through a radio-frequency plasma-assisted ion implantation system. The root metallography, hardness gradient, residual stress distribution, and bending fatigue properties of ion-implanted gears and unimplanted gears were systematically compared. …”
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Comparative analysis of HKT genes in Ipomoea pes-caprae unveils conserved Na+/K+ symporter functions within the gene family by Zhonghua Guo, Zhonghua Guo, Jin Sun, Jin Sun, Xingguang Chen, Hui Li, Sisi Liang, Fengying Liu, Tong Qu, Huaer Wang, Xueli Li, Zitong Ou, Zitong Ou, Haoran Feng, Jinbiao Ma, Sheng Wang, Lulu Wang, Lulu Wang, Boping Tang, Gang Wang, Yuan Qin, Yuan Qin, Yan Cheng, Yan Cheng, Yan Cheng

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An improved multi-objective artificial physics optimization algorithm based on R2 indicator and its application by Bao Sun, Yihong Chang, Min Gao, Zhanlong Li, Jiankang Liu, Jinbin Wang

“…The results indicate that it demonstrates superior distribution and optimization performance. Furthermore, we applied it to optimize the parameters of a hydro-pneumatic suspension system. …”
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Geoelectric Joint Inversion for 3D Imaging of Vineyard Ground by Nicola Lopane, Matteo Albéri, Alessio Barbagli, Enrico Chiarelli, Tommaso Colonna, Fabio Gallorini, Enrico Guastaldi, Fabio Mantovani, Dario Petrone, Silvio Pierini, Kassandra Giulia Cristina Raptis, Virginia Strati

“…This model significantly enhances subsurface characterization, delineating root systems and correlating water distribution with resistivity patterns, showing relative variations sometimes greater than 50%. …”
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Optimizing 5G resource allocation with attention-based CNN-BiLSTM and squeeze-and-excitation architecture by Anfal Musadaq Rayyis, Mohammad Maftoun, Maryam Khademi, Emrah Arslan, Silvia Gaftandzhieva

“…Furthermore, it attains an R2 score of 0.9964 and an Explained Variance Score (EVS) of 0.9966, confirming its ability to capture key patterns in the dataset.DiscussionCompared to conventional machine learning models and related studies, the proposed framework consistently outperforms existing approaches, highlighting the potential of deep learning in enhancing 5G networks for adaptive resource allocation in wireless systems. This approach can also support smart university environments by enabling efficient bandwidth distribution and real-time connectivity for educational and administrative services.…”
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Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

“…The models evaluated include the Gumbel Distribution, Linear Regression, Support Vector Regression (SVR), and Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM), assessed based on three metrics: Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Coefficient of Determination (R2 ). …”
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Combining fugacity and physiologically based toxicokinetic concepts in a mechanistic model describing the fate of lipophilic contaminants in lactating cows by Sylvain Lerch, Olivier Martin, Agnés Fournier, Isabelle Ortigues-Marty, Jérôme Henri

“…Model performances for predicting milk accumulation and depuration kinetics were judged satisfactory, with an average root mean square error relative to the observed mean of 27%. …”
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The ground states of hidden-charm tetraquarks and their radial excitations by Guo-Liang Yu, Zhen-Yu Li, Zhi-Gang Wang, Bin Wu, Ze Zhou, Jie Lu

“…Abstract Inspired by the great progress in the observations of charmonium-like states in recent years, we perform a systematic analysis about the ground states and the first radially excited states of $$qc\bar{q}\bar{c}$$ q c q ¯ c ¯ (q = u/d and s) tetraquark systems. Their mass spectra, root mean square (r.m.s.) radii and radial density distributions are predicted within the framework of relativized quark model. …”
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Biomechanical effects of orthodontic tooth movement on edentulous alveolar bone: a finite element analysis by Xiaoxu Wang, Jiaojiao Xue, Xiaoting Wang, Mingyue Fan

“…ObjectiveThis study investigates the biomechanical effects of different orthodontic movement patterns on the alveolar bone in the adjacent edentulous region through finite element analysis (FEA) of maxillary central incisor displacement mechanisms.MethodsA three-dimensional FEA model was constructed comprising the maxilla, upper dentition (with exclusion of the right maxillary central incisor), periodontal ligament (PDL), fixed orthodontic appliance bracket, and archwire system. The initial displacement characteristics and stress distribution patterns of the maxillary left central incisor (tooth 21) and the surrounding alveolar bone were quantitatively analyzed using ANSYS software.ResultsUnder an intrusion force approximately four times the lingual reactionary force, the maxillary central incisor underwent pure axial intrusion without labial or lingual tipping. …”
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Development of Enzyme-Mediated Duplex Exponential Amplification Assay for Detection and Identification of <i>Meloidogyne enterolobii</i> in Field by Bingxue Sun, Bo Gao, Rongyan Wang, Shulong Chen, Xiuhua Li, Yonghao Dong, Juan Ma

“…The root-knot nematode <i>Meloidogyne enterolobii</i> has emerged as a devastating pathogen in global agricultural systems. …”
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Multi-Parameter Water Quality Inversion in Heterogeneous Inland Waters Using UAV-Based Hyperspectral Data and Deep Learning Methods by Hongran Li, Nuo Wang, Zixuan Du, Deyu Huang, Mengjie Shi, Zhaoman Zhong, Dongqing Yuan

“…However, traditional monitoring methods suffer from limitations in temporal, spatial, and spectral resolution, which constrain the effective evaluation of urban rivers and multi-scale aquatic systems. To address challenges such as ecological heterogeneity, multi-scale complexity, and data noise, this paper proposes a deep learning framework, TL-Net, based on unmanned aerial vehicle (UAV) hyperspectral imagery, to estimate four water quality parameters: total nitrogen (TN), dissolved oxygen (DO), total suspended solids (TSS), and chlorophyll a (Chla); and to produce their spatial distribution maps. …”
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Harmonizing Landsat-8 OLI and Sentinel-2 MSI: an assessment of surface reflectance and vegetation index consistency by Jiaqi Zhang, Xiaocheng Zhou, Xueping Liu, Xiaoqin Wang, Guojin He, Youshui Zhang

“…The derived conversion equations were highly accurate for harmonizing data from both sensor systems.…”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…This paper endorses the technical implementation of machine learning in dry sulfation processes and provides insights into how computer systems perceive data characteristics and make forecasts.…”
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