Gait Optimization Method for a Large Heavy Load Biped Robot Based on Particle Swarm Optimizer Algorithm by Huanhuan Ren, Xuanji Guo, Mingzhibo He, Chengshuai Ma, Chengzhi Su

“…In this paper, we present the innovative design of a highly robust bipedal robot featuring parallel legs and delve into its intricate gait planning strategy. …”
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Synthesis and Application of 4′-<i>C</i>-[(<i>N</i>-alkyl)aminoethyl]thymidine Analogs for Optimizing Oligonucleotide Properties by Kota Fujiki, Yuri Kakisawa, Elsayed M. Mahmoud, Yoshihito Ueno

“…Additionally, oligonucleotides modified with the developed analogs preserved their RNase H cleavage susceptibility, albeit inducing minor alterations in the cleavage pattern. …”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…Unlike previous methods that rely on coarse-grained features without human intervention, our method introduces a &#x201C;locate then generate&#x201D; pattern, thereby improving the interpretability of the generated reports. …”
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Dynamic changes in betanin content during the growing season of table beet: their interplay with abiotic factors by D. V. Sokolova

“…Recommendations are given concerning the choice of a planting pattern and the timing of table beet harvesting for pigment extraction.…”
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Analysis of clinical and microbiological characteristics of invasive Klebsiella pneumoniae liver abscess syndrome by Li Gu, Yue Wang, Han Wang, Dong Xu

“…This study aimed to investigate the clinical and microbiological features of IKPLAS in order to detect this syndrome early and select antibiotics appropriately. …”
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An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis by Mahsa Ashouri, Frederick Kin Hing Phoa, Chun-Houh Chen, Galit Shmueli

“…An improved understanding of PM2.5 seasonal patterns can help environmental protection agencies (EPAs) make decisions and develop complex models for controlling the concentration of PM2.5 in different regions. …”
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Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…Mel spectrograms are utilized as a key feature representation to capture the temporal and spectral characteristics of coughs. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…Escalating temperature, polar ice melting, global sea level rise, and shifting weather patterns, all stem from climate change. One of the pathways towards achieving sustainable development involves the advancement of the agricultural sector, a vital economic segment. …”
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The influence of heterogeneity of lacustrine shale facies on rock mechanical properties and brittleness: a case study of Jurassic lacustrine shale reservoirs in Northeast Sichuan B... by Haibo Zhao, Haibo Zhao, Shujun Yin, Shujun Yin, Xuefeng Yang, Xuefeng Yang, Weilin Yan, Weilin Yan, Guangwu Bi, Guangwu Bi, Jianliang Zhang, Jianliang Zhang, Zimeng Xing

“…Through a correlation analysis of normalized rock parameters and the brittleness index derived from stress-strain curves with the fracture breakdown pressure and extension pressure observed in field fracturing, a comprehensive evaluation index has been established using the analytic hierarchy process to reflect the brittleness of deep lacustrine shale.DiscussionThis index serves effectively in characterizing the brittleness features of deep lacustrine shale, and evaluations suggest that the Liang upper section has a relatively high brittleness index and good compressibility, marking it as a key target layer for future shale gas development.…”
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Designing for Engagement in Primary Health Education Through Digital Game-Based Learning: Cross-National Behavioral Evidence from the iLearn4Health Platform by Evgenia Gkintoni, Emmanuella Magriplis, Fedra Vantaraki, Charitini-Maria Skoulidi, Panagiotis Anastassopoulos, Alexandra Cornea, Begoña Inchaurraga, Jaione Santurtun, Ainhoa de la Cruz Mancha, George Giorgakis, Kleri Kouppas, Stella Timotheou, Maria Jose Moreno Juan, Miren Muñagorri, Marta Harasiuk, Alfredo Garmendia Lopez, Efi Skoulidi, Apostolos Vantarakis

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Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. The training process incorporates a hybrid loss function that combines supervised contrastive (SC) learning and cross-entropy (CE) loss to enhance feature discrimination. …”
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Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

“…Subtype feature genes were selected through Lasso logistic regression and SVM-RFE algorithm. …”
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Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…Then, feature selection is performed to determine the key factors. …”
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Data-Driven Approaches for Efficient Vehicle Driving Analysis: A Survey by Iryna I. Husyeva, Ismael Navas-Delgado, José García-Nieto

“…Efficient vehicle driving generally intends to reduce fuel consumption, emissions of harmful substances, and accident rates based on energy-efficient driving patterns as a set of parameters defining optimal vehicle and route characteristics, together with specific ways of driving a vehicle that the particular driver applies. …”
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Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network by Guangyao Wang, Jun Liu, Jiacheng Liu, Yuting Li, Tianxiao Mo, Sheng Ju

“…By incorporating theoretical calculation values of the TOV into the input features, the task of the deep neural network (DNN) shifts from mining relationships within large datasets to revealing the correlation patterns between theoretical calculations and real values, thereby improving the robustness of the prediction model in cases of insufficient training data and irrational feature construction. …”
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Deciphering hypoxia’s role in hepatocellular carcinoma prognosis with single-cell approaches by Jun Liang, Di Chen, Huiyu Liang

“…To probe the effects of hypoxia on HCC invasion, we developed the Cell Hypoxia-Related Prognostic Feature (CHPF). …”
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GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…This module facilitates the fusion of global channel and spatial features, effectively mitigating the impact of feature imbalance on fitting performance and significantly enhancing text detection accuracy. …”
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Identifying Wet Troposphere Delay in L‐Band InSAR Using Weather Radar Reflectivity by Talib Oliver‐Cabrera, Cathleen E. Jones, Marc Simard, Bhuvan Varugu, Saoussen Belhadj‐Aissa

“…NEXRAD's 5‐min scanning interval, compared to UAVSAR's 30‐min revisit time, enabled detection of phase artifacts caused by fast‐moving and developing clouds. We identify regions in InSAR interferograms with troposphere‐induced phase artifacts by matching features common to InSAR phase outlier masks and NEXRAD high reflectivity masks. …”
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Fisher discriminant analysis of multimodal ultrasound in diagnosis of cervical metastatic lymph nodes in papillary thyroid cancer by Yixuan Wang, Yue Han, Fei Li, Yuyang Lin, Bei Wang

“…The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = −3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = −8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. …”
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Ixekizumab-induced interstitial lung disease: a case report confirmed by transbronchial lung cryobiopsy by Shota Kaburaki, Naoko Okada, Toru Tanaka, Koichiro Kamio, Yosuke Tanaka, Yasuhiro Terasaki, Kazuo Kasahara, Masahiro Seike

“…The pathophysiological mechanisms and histopathological features of this adverse effect remain poorly documented.Case Presentation: A 69-year-old male with familial psoriasis developed respiratory symptoms after 18 months of ixekizumab therapy. …”
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