Potential distribution of native freshwater fish in Tabasco, Mexico by Paula Andrea Castillo-Torres, Enrique Martínez-Meyer, Fernando Cordova Tapia, Luis Zambrano

“…We implemented an ecological niche modeling approach to: 1) identify the potential richness distribution patterns of native fish; 2) evaluate the relative importance of climatic and topographic variables in fish distribution, and 3) analyze if the natural protected areas correspond to areas with higher potential species richness. …”
Get full text

Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Leila Esmaeili

“…The efficiency of the proposed approach was evaluated utilizing three separate load distribution patterns (exponential, Poisson, and exponential-Poisson), and the results indicate the prevention of energy waste and an average reduction of 1.66% in energy consumption. …”
Get full text

Climate change induced extreme meteorological conditions over sub-tropical environment: pathways towards achieving Sustainable Development Goals (SDGs) by Asish Saha, Subodh Chandra Pal, Aznarul Islam, Abu Reza Md. Towfiqul Islam, Chaitanya Baliram Pande, Edris Alam, Md Kamrul Islam

“…The rainfall prediction up to 2037 was evaluated using the “multi-layer perception-artificial neural network” model. …”
Get full text

Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset by Ru Chen, Mi Wang, Yingdong Pi, Ru Wang, Tao Peng, Fan Yang, Rongfan Dai

“…We first introduce the Luojia3-02 stripe-noise dataset, constructed from Luojia3-02 (Wuhan-1) satellite imagery, including stripe-noise patterns across multiple spatial scales. Building upon this dataset, we propose a multilevel perceptual stripe-noise-removal network. …”
Get full text

Seismic rockfall risk assessments and mitigation strategies for transportation infrastructure in high-risk regions by Kelechi Nnaji Eze, Oluwadamilare Olamide Ilesanmi, Godspower Charles Igah, Adefemi Quddus Abidola, Fega Eric Ojefia, Adedamola Martins Adekoya

“…Infrastructure resistance depends strongly on having effective procedures to assess hazards and implement protective strategies because these events show unpredictable patterns. This paper reviews contemporary rockfall hazard evaluation methods while studying risk assessment structures and presenting examples of quake-proof mitigation practices in transportation systems. …”
Get full text

Unpacking food environment policy landscapes for healthier diets in “emerging” countries: the case of Viet Nam by Brice Even, Trang Thi Thu Truong, Hang Thi Minh Thai, Hang Thi Minh Thai, Huong Thi Mai Pham, Duong Thu Nguyen, Anh Thi Viet Bui, Christophe Béné, Christophe Béné

“…ObjectiveFood systems and food environments are evolving rapidly in Viet Nam, concurrently with significant shifts in dietary patterns and health outcomes. This study aims to identify critical gaps in the national regulatory framework governing food environment in Viet Nam and to propose actionable recommendations to overcome these gaps.ResultsUsing the Food Environment Policy Index from the INFORMAS network, we mobilized a transdisciplinary panel of 18 experts to co-analyze and assess policy evidence, as well as co-develop policy recommendations. …”
Get full text

Altered functional connectivity density in the brains of hemodialysis end-stage renal disease patients: An in vivo resting-state functional MRI study. by Yan Shi, Chaoyang Tong, Minghao Zhang, Xiaoling Gao

“…<h4>Conclusion</h4>Our findings revealed abnormal intrinsic dysconnectivity pattern of salience network-related regions in ESRD patients from the whole brain network perspective. …”
Get full text

Unmasking Nuances Affecting Loneliness: Using Digital Behavioural Markers to Understand Social and Emotional Loneliness in College Students by Malik Muhammad Qirtas, Evi Zafeiridi, Eleanor Bantry White, Dirk Pesch

“…Our objectives were to (1) identify behavioural patterns linked to social and emotional loneliness, (2) evaluate the predictive power of these patterns for classifying loneliness types, and (3) determine the most significant digital markers used by machine learning models in loneliness prediction. …”
Get full text

A novel transformer-based dual attention architecture for the prediction of financial time series by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

“…Second, the Nonprice Attention Network (NAN) is proposed as a parallel network that processes related financial features. …”
Get full text

Resilient Operation of Electric Vehicles considering Grid Resiliency and Uncertainties by Seyed Mostafa Armaghan, Fatemeh Asgharzadeh, Babak Yousefi-Khanghah, Hamid Reza Ashrafi

“…This paper proposes a novel short-time optimization method based on a resiliency enhancement strategy for a smart distribution network during adverse weather conditions. The key idea is to integrate various electric vehicles (EVs) with different behaviour patterns and other distributed energy resources into emergency tools of distribution network operation such as topology reconfiguration and grid-supported services. …”
Get full text

A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

“… Unlocking novel insights from gene expression of individual patient profiles, clinicians and researchers can discern patterns, biomarkers, and therapies. Moreover, accurate classification enables the development of predictive models for prognosis and treatment response, facilitating personalized medicine approaches. …”
Get full text

Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

“…Key methodologies included differential gene expression analysis, weighted gene co-expression network analysis, functional enrichment studies, immune landscape evaluation, and multi-dimensional risk stratification. …”
Get full text

Comprehensive Analysis of N6-Methyladenosine (m6A) RNA Methylation Regulators and Tumour Microenvironment Cell Infiltration Involving Prognosis and Immunotherapy in Gastroesophagea... by Duanrui Liu, Mingjie Yuan, Zongming Wang, Liping Sun, Yusong Fang, Xiaoli Ma, Lulu Zhang, Yuanxin Xing, Jingyu Zhu, Yunyun Liu, Wenshuai Zhu, Shuqin Bao, Yanfei Jia, Yunshan Wang

“…In this study, we examined the TME of GEA using assessments of the RNA-sequencing data focusing on the distinct m6A modification patterns from the public databases. Intrinsic patterns of m6A modification were evaluated for associations with clinicopathological characteristics, underlying biological pathways, tumour immune cell infiltration, oncological outcomes, and treatment responses. …”
Get full text

Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries by Talal Alharbi, Ahmed Abdalrahman, Mostafa H. Mostafa

“…This research proposes a comprehensive planning methodology that optimizes the placement of EV charging stations by considering traffic flow patterns over space and time. Additionally, a stochastic modeling approach is introduced to identify the optimal locations for ESS, taking into account uncertainties such as variable electrical loads and the intermittent nature of renewable energy sources (RESs). …”
Get full text

Ultra-low dose imaging in a standard axial field-of-view PET by Thiago Lima, Carlos Vinícius Gomes, Paul Fargier, Klaus Strobel, Antoine Leimgruber

Get full text

Endostatin as a biomarker of systemic sclerosis: insights from a systematic review and meta-analysis by Arduino A. Mangoni, Arduino A. Mangoni, Angelo Zinellu

Get full text

Experimental Investigation of Mechanical Properties and Pore Characteristics of Hipparion Laterite Under Freeze–Thaw Cycles by Tengfei Pan, Zhou Zhao, Jianquan Ma, Fei Liu

“…The experimental results demonstrate that Hipparion laterite specimens undergo progressive deterioration with increasing F-T cycles and initial moisture content, predominantly exhibiting brittle deformation patterns. The soil exhibited substantial strength degradation, with total reduction rates of 51.54% and 43.67% for peak and residual strengths, respectively. …”
Get full text

The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches by Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan

“…These findings may provide new insights into therapeutic monitoring and prognosis evaluation.…”
Get full text

EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…For EEG signals, spatiotemporal features are extracted using dual-scale temporal convolution and depthwise separable convolution, and a hybrid attention module is introduced to enhance the network's sensitivity to salient neural patterns. …”
Get full text

Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…By employing cutting-edge technological methods, the research aims to uncover and extract hidden features from pedestrian crash data in Michigan, thereby enhancing the understanding and prevention of such incidents. This study evaluates the effectiveness of three Convolutional Neural Network (CNN) architectures—VGG-19, AlexNet, and ResNet-50—in classifying multiple hidden features in pedestrian crash diagrams. …”
Get full text