Dynamic analysis of a Caputo fractional-order SEIR model with a general incidence rate by Shenghu Xu, Yanhui Hu

“…Abstract This study develops a fractional-order SEIR model with asymptomatic infections and memory effects, introducing a generalized incidence rate to better reflect the nonlinear characteristics of transmission. …”
Get full text

The influence of hydroelectric power generation and water level variability on market clearing prices: A case study of Türkiye by Tamer Emre

“…The escalating effects of climate change on hydrological patterns and the increasing reliance on renewable energy necessitate more precise electricity price forecasting. This study investigates how hydroelectric power generation influences the Market Clearing Price (MCP) in Türkiye’s electricity market, with particular attention to seasonal variability and market structure.The core research question addresses whether fluctuations in water levels and hydroelectric output exert a statistically and economically significant impact on MCP formation. …”
Get full text

Green Power Generation by Microbial Fuel Cells Using Pharmaceutical Wastewater as Substrate and Electroactive Biofilms (Bacteria/Biocarbon) by Ivonne L. Alonso-Lemus, Carlos Cobos-Reyes, Mayra Figueroa-Torres, Beatriz Escobar-Morales, K. Kunhiraman Aruna, Prabhu Akash, Fabian Fernández-Luqueño, Javier Rodríguez-Varela

“…In this work, electroactive biofilms of Bacillus subtilis (B. subtilis) or Escherichia coli (E. coli) were supported on functionalized biocarbon (AB7-F), which was synthesized from waste leather and was used as catalysts to develop bioanodes for microbial fuel cells (MFCs). …”
Get full text

A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…Firstly, microscopic images of WBCs are generated using the SRGAN to obtain more precise and high-resolution images, which are then classified with a pretrained VGG19 classifier. …”
Get full text

Efficient Generation of Induced Pluripotent Stem Cell-Derived Definitive Endoderm Cells with Growth Factors and Small Molecules by Faizal Z. Asumda, Shadia Alzoubi, Kiyasha Padarath, Nina John, Kimya Jones, Ravindra Kolhe, Ashis Kumar Mondal, Tae Jin Lee, Wenbo Zhi, Robert C. Huebert, Nathan P. Staff, Lindsey A. Kirkeby

“…However, for hepatic specification, the GF protocol is more effective.…”
Get full text

The Role of Next-Generation Sequencing (NGS) in the Relationship between the Intestinal Microbiome and Periprosthetic Joint Infections: A Perspective by Salvatore Gioitta Iachino, Federica Scaggiante, Claudia Mazzarisi, Christian Schaller

“…In addition, the gut microbiome may harbor antibiotic-resistance genes; during antibiotic treatment for other infections or prophylaxis, these genes may be transferred to pathogenic bacteria, making the treatment of PJI more difficult. In this complex landscape, next-generation sequencing (NGS) technology can play a key role; indeed, it has revolutionized the study of the microbiome, allowing for detailed and comprehensive analysis of microbial communities. …”
Get full text

A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service availability. …”
Get full text

Domain‐Specific and Domain‐General Functional Brain Alterations in Type 2 Diabetes Mellitus: A Task‐Based and Functional Connectivity Meta‐Analysis by Valentino Marcel Tahamata, Yang‐Teng Fan, Li Wei, Yen‐Nung Lin, Roger Marcelo Martinez, Kah Kheng Goh, Yu‐Chun Chen, Chenyi Chen

“…Conclusion Despite the lack of uniformity across task, such domain‐specific and domain‐general patterns of alterations provide a more nuanced understanding of the cognitive and affective deficits in Type 2 diabetes patients. …”
Get full text

Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions by Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li

“…Finally, to address the issue of DCGAN generating repeated and similar images, an image similarity measurement function is introduced into the loss function. …”
Get full text

Vehicle power supply management strategies by A. V. Puzakov

“…The target functions of the listed control strategies are considered.Results. …”
Get full text

Fast-track analysis of beetroot using the liquid generated during the cooking processOpen Data is available at under the name “UBU-Polymers Research Group 02062025″. by María Gaona-Ruiz, Saúl Vallejos, Ana Rodríguez, Miriam Trigo-López, Celia Carrillo

Get full text

Transmuted exponential-compound Weibull distribution for modelling of positively skewed data by Nnaemeka Martin Eze, Waheed Babatunde Yahya

“…Some fundamental mathematical and statistical properties associated with this new distribution, such as ordinary moments, moment generating function, mean, variance, quantile function, survival function, hazard function, Renyi entropy and order statistics were derived and presented in an explicit structure. …”
Get full text

Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate by Tiantian Luan, Mingxiao Sun, Guoqing Xia, Daidai Chen

“…The simulations of approximating a typical nonlinear function, identifying UCI datasets, and evaluating sortie generation capacity of an carrier aircraft show the effectiveness of VS-RBF.…”
Get full text

Hierarchical quantitative prediction of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertainty risk by Yinming Liu, Wengang Wang, Xiangyue Meng, Yuchen Zhang, Zhuyu Chen

“…According to the calculated risk value, a double-layer photovoltaic power generation cost planning model is constructed, the upper and lower objective functions of the model are determined, and the constraint conditions are designed; Obtain a cost planning objective function solution base on a matrix task prioritization method, and generating a prioritization table; Prediction of photovoltaic power generation depreciation expense based on long-short memory neural network for each solution in the sorting table. …”
Get full text

Weekly Intraperitoneal Injection of Tamoxifen in an Inducible In Vivo Model of Junctional Epidermolysis Bullosa Generates Early and Advanced Disease Phenotypes by Eleri Mai Jones, Priya Garcha, Monique Aumailley, Edel Anne O’Toole, Emanuel Rognoni, Matthew Caley

“…Junctional epidermolysis bullosa caused by loss-of-function variants in genes encoding the skin basement membrane proteins laminin 332, type XVII collagen, or integrin α6β4 affects patients from birth with severe blistering, eventually leading to scarring and early lethality. …”
Get full text

DoubleNet: A Method for Generating Navigation Lines of Unstructured Soil Roads in a Vineyard Based on CNN and Transformer by Xuezhi Cui, Licheng Zhu, Bo Zhao, Ruixue Wang, Zhenhao Han, Kunlei Lu, Xuguang Feng, Jipeng Ni, Xiaoyi Cui

“…This research introduces DoubleNet, an innovative deep-learning model designed to generate navigation lines for such conditions. To improve the model’s ability to extract image features, DoubleNet incorporates several key innovations, such as a unique multi-head self-attention mechanism (Fused-MHSA), a modified activation function (SA-GELU), and a specialized operation block (DNBLK). …”
Get full text

Functional Constipation and Constipation-Predominant Irritable Bowel Syndrome in the General Population: Data from the GECCO Study by Paul Enck, Johannes Leinert, Menno Smid, Thorsten Köhler, Juliane Schwille-Kiuntke

Get full text

Multiscale investigation of collagen structure in human skin and gel matrices using polarization resolved second harmonic generation microscopy by Mengyao Zhou, Madalena Pinto Gomes, Anouk Elgersma, H. Ibrahim Korkmaz, Bouke K. H. L. Boekema, Marie Louise Groot

“…Abnormal collagen organization, such as in fibrosis or scar tissue, compromises both skin functionality and aesthetics. In this study, we employed label-free polarization resolved second harmonic generation (PSHG) microscopy to investigate collagen structure in artificial collagen matrices with various Col I/III ratios at the fibril scale ( $$\sim$$ ∼ 1 to $$3\,\upmu \hbox {m}$$ 3 μ m ) and in ex vivo human healthy and scarred skin at the fiber scale ( $$\sim 10$$ ∼ 10 to $$20\,\upmu \hbox {m}$$ 20 μ m ). …”
Get full text

L‐Aspartic Acid with Dual Functions: An Eco‐Friendly and Affordable Choice to Accelerate High Salinity Brine Utilization by Suning Mao, Zhen Yu, Jie Chen, Yizhe Shen, Minjie Li, Chen Sun, Xiaoqing Lin, Bin Yang, Tong Chen, Qunxing Huang, Xiaodong Li, Jianhua Yan

“…Abstract L‐Aspartic acid (L‐Asp) poses a dual function, which can affect the evaporation and crystallization process of the high‐salinity brine by altering the physical or chemical properties of the salts. …”
Get full text

An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel by Senyue Zhang, Wenan Tan

“…First, the generalized triangle Hermitian kernel function was constructed by using the product of triangular kernel and generalized Hermite Dirichlet kernel, and the proposed kernel function was proved as a valid kernel function of extreme learning machine. …”
Get full text