Construction of a transfer learning-based depression detection model for female breast cancer patients: text sentiment analysis by Jiaqi Fu, Shisi Deng, Wanting Zheng, Chunrao Zheng, Jianhong Liu, Wenji Li, Yinghua Zeng, Hongpo Xie, Yuchang Mai, Chaixiu Li, Jie Lai, Yujie Zhang, Zihan Guo, Jianyao Tang, Chuhan Zhong, Huihui Zhao, Yanni Wu

“…Objective This study seeks to address the emotional struggles faced by women with BC, who often grapple with depression but lack accessible mental health support. This study aims to develop a transfer learning-based model to enable timely, non-invasive identification of depression through patients’ self-expressed texts, thereby offering a pathway to early intervention. …”
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Modeling and predicting land use and land cover changes using remote sensing in tropical coastal ecosystems of southern Peru by Ellen Delgado, Elgar Barboza, Nilton B. Rojas-Briceño, Alexander Cotrina-Sanchez, Armando Valdés-Velásquez, Rocío López de la Lama, Camila Llerena-Cayo, Santiago de la Puente

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The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation by Sarah Shtaierman, Catarina Fontes, Christoph Lütge

“…Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. …”
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Deploying Agrivoltaics in Sub-Saharan Africa—A Sustainable Pathway Toward Energy-Food Security-Challenges and Opportunities: A Review by Suleiman Ibrahim Abubakar, Chan Hwang See, Firdaus Muhammad Sukki, Ramasamy Mahendiran, Senthilarasu Sundaram, Mohamad Izani Zainal Abidin, Mohd Khairul Amri Kamarudin

“…The novelty of this work lies in its tailored approach to SSA, integrating evidence from global APV case studies and proposing localized implementation strategies that align with the region’s development priorities. This study advances the understanding of APV as a pathway to achieving Sustainable Development Goals (SDGs) in SSA by offering a dual-purpose model for energy access and food security. …”
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A Novel Alpha-Power X Family: A Flexible Framework for Distribution Generation with Focus on the Half-Logistic Model by A. A. Bhat , Aadil Ahmad Mir , S. P. Ahmad , Badr S. Alnssyan , Abdelaziz Alsubie , Yashpal Singh Raghav

“…This study introduces a new and flexible class of probability distributions known as the novel alpha-power X (NAP-X) family. A key development within this framework is the novel alpha-power half-logistic (NAP-HL) distribution, which extends the classical half-logistic model through an alpha-power transformation, allowing for greater adaptability to various data shapes. …”
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Model Design and Study of a U-Channel Photonic Crystal Fib Optic Sensor for Measuring Glucose Concentration in Blood by Lei Zhao, Hua Yang, Tangyou Sun, Qianju Song, Zao Yi, Yougen Yi

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A qualitative exploration of STI partner notification services delivery models among key stakeholders in rural southwestern Uganda by Pooja Chitneni, Pooja Chitneni, Moran Owembabazi, Eunice Kanini, Rosemary Kansiime, Winnie R. Muyindike, Christina Psaros, Christina Psaros, Jessica E. Haberer, Jessica E. Haberer, Lynn T. Matthews

“…We found that (1) the nursing model was overall supported as nurses (though with one participant noting dissatisfaction with nurses), (2) pharmacies are well-positioned to engage in STI PN as they are early points of contact for patients, incentivized monetarily by PN and patient-delivered partner medication, and have the potential to physically restructure to create private spaces and increase counseling training, (3) the community-based model should center on village health teams and focus on advocacy and education.ConclusionGiven the high STI incidence globally and in sub-Saharan Africa, exploring innovative STI care models that resonate with patients and healthcare practitioners will be important. …”
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Research on several key technologies of satellite Internet by Gengxin ZHANG, Yunfeng WANG, Xiaojin DIGN, Tao HONG, Ziwei LIU, Chen ZHANG

“…Satellite Internet has the ability of global seamless coverage, which will be an important part of the future land-sea-air-space integrated network.Firstly, the architecture of satellite Internet was discussed, which included the general composition of the system, networking mode, working process, etc.Secondly, the methods of modeling broadband and narrowband traffic were proposed to extract the uneven space-time distribution characteristics of traffic for satellite Internet.Then, the co-frequency interference of spectrum-sharing was analyzed, showing that there would be more serious co-frequency interference among different non-geostationary satellite orbit (NGSO) constellations in the future.Next, the schemes of both beamforming design for low earth orbit satellite and beam-hopping design for high orbit satellite were explored, which could significantly improve the system capacity through efficient mining of space-domain resources.Finally, the development prospect of several technologies of satellite Internet were given.…”
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Research on several key technologies of satellite Internet by Gengxin ZHANG, Yunfeng WANG, Xiaojin DIGN, Tao HONG, Ziwei LIU, Chen ZHANG

“…Satellite Internet has the ability of global seamless coverage, which will be an important part of the future land-sea-air-space integrated network.Firstly, the architecture of satellite Internet was discussed, which included the general composition of the system, networking mode, working process, etc.Secondly, the methods of modeling broadband and narrowband traffic were proposed to extract the uneven space-time distribution characteristics of traffic for satellite Internet.Then, the co-frequency interference of spectrum-sharing was analyzed, showing that there would be more serious co-frequency interference among different non-geostationary satellite orbit (NGSO) constellations in the future.Next, the schemes of both beamforming design for low earth orbit satellite and beam-hopping design for high orbit satellite were explored, which could significantly improve the system capacity through efficient mining of space-domain resources.Finally, the development prospect of several technologies of satellite Internet were given.…”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…The key to accurate DTA prediction lies in selecting appropriate computational models to effectively extract features from drug molecular structures and target protein structures. …”
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Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling by Stefan Kuvendziev, Kiril Lisichkov, Isidora Dimitrievska, Martin Stojchevski, Mirko Marinkovski, Goran Nachevski, Zoran Zeković, Snežana Filip

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Methodology for Modeling Coupled Rigid Multibody Systems Using Unitary Quaternions: The Case of Planar RRR and Spatial PRRS Parallel Robots by Francisco Cuenca Jiménez, Eusebio Jiménez López, Mario Acosta Flores, F. Peñuñuri, Ricardo Javier Peón Escalante, Juan José Delfín Vázquez

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Russia’s Network Diplomacy in Eurasia: From the EAEU to the Greater Eurasian Partnership by Valeriia I. Bulva, Alexander K. Bobrov

“…Firstly, such diplomacy is required at the initial stage of development of integration processes and is based on the model of multi-speed and multi-level integration, as evidenced by the Eurasian integration paradigm prior to the establishment of the Eurasian Economic Union (EAEU). …”
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A Novel Fixed-Point Iterative Process for Multivalued Mappings Applied in Solving a HIV Model of Fractional Order by Rubayyi T. Alqahtani, Godwin Amechi Okeke, Cyril Ifeanyichukwu Ugwuogor

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Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study by Zhan Zhang, Yue Zhao, Yi-Jun Ma, Chuan-Qi Chen, Zhen-Yi Li, Yv-Kai Wang, Si-Jie Zhang, Hai-Ming Li, Yongmeng Li, Yu Tian, Hui Tian

“…Preoperative identification of STAS is crucial for optimizing surgical strategies. This study aimed to develop and validate machine learning models to predict the presence of STAS using preoperative clinical, radiological, and pathological data in lung cancer patients. …”
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Oil Accumulation Model and Its Main Controlling Factors in Lower Yanchang Formation, Wuqi-Dingbianarea, Ordos Basin, China by Jintao Yin, Chao Gao, Mingjun Zhu, Hui Wang, Peng Shi, Yi yi Chen, Qianping Zhao, Lixia Zhang, Bo Yu

“…., the oil and gas accumulation model and main controlling factors in lower Yanchang Formation in Wuqi-Dibian area have been discussed. …”
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Mechanism Analysis and Establishment of a Prediction Model for the Total Pressure Loss in the Multi-Branch Pipeline System of the Pneumatic Seeder by Wei Qin, Cheng Qian, Yuwu Li, Daoqing Yan, Zhuorong Fan, Minghua Zhang, Ying Zang, Zaiman Wang

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Numerical Modelling and Parametric Study of Steel-Concrete Composite Slim-Floor Flexural Beam Using Dowel Shear Connectors by Xinxin Xu, Xianghe Dai, Dennis Lam

“…In this paper, a finite element model is developed, followed by a parametric study that examines the effects of various shear connector parameters on the structural behaviour of composite beams. …”
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Behavior Modeling and Bio-Hybrid Systems: Using Reinforcement Learning to Enhance Cyborg Cockroach in Bio-Inspired Swarm Robotics by Le Minh Triet, Nguyen Truong Thinh

“…By defining precise state-action spaces and reward functions, the RL model effectively learned to influence cockroach behavior via electrical stimulation of their antennae, guiding them to perform complex navigational tasks. …”
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LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

“…To address this, we developed a deep learning model, LucaPCycle, integrating raw sequences and contextual embeddings based on the protein language model ESM2-3B. …”
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