Design and control of a modular two-stage SST- based bidirectional EV charger by Radhika P, Mohamed Imran A

“…Small signal transfer functions are derived, and controllers are designed accordingly. …”
Get full text

Glyceraldehyde-3-phosphate dehydrogenase acts as a mitochondrial trans-S-nitrosylase in the heart. by Mark J Kohr, Elizabeth Murphy, Charles Steenbergen

“…Mitochondrial proteins have been shown to be common targets of S-nitrosylation (SNO), but the existence of a mitochondrial source of nitric oxide remains controversial. SNO is a nitric oxide-dependent thiol modification that can regulate protein function. …”
Get full text

The classical-to-quantum crossover in the strain-induced ferroelectric transition in SrTiO3 membranes by Jiarui Li, Yonghun Lee, Yongseong Choi, Jong-Woo Kim, Paul Thompson, Kevin J. Crust, Ruijuan Xu, Harold Y. Hwang, Philip J. Ryan, Wei-Sheng Lee

Get full text

PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm by Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh

“…Any disturbance in proteins interactive network can act as a source for biological disorders and various diseases such as Alzheimer and cancer. …”
Get full text

Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. …”
Get full text

Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
Get full text

Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
Get full text

Current status of developments in the field of respiratory syncytial virus vaccines by Tatiana S. Kotomina

“…This was facilitated by research to identify the structure of RSV, to study the basic functions of RSV components as well as the mechanisms of innate and acquired immune responses to infection. …”
Get full text

Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
Get full text

Glucose Sensing in Saliva by Jacopo Giaretta, Riccardo Zulli, Theja Prabhakar, Ronil J. Rath, Sina Naficy, Sara Spilimbergo, Paul S. Weiss, Syamak Farajikhah, Fariba Dehghani

“…Abstract Glucose plays critical roles in many human body functions, above all as a source of energy. Abnormal levels of glucose are correlated to different diseases, importantly including diabetes. …”
Get full text

Effective disinfecting of negative pressure pipelines of DCUs reduces the risk of cross infection in dental care by Xuerong Lv, Ke Yan, Xiang Han, Feiyang Wang, Yuzhuo Ma, Shougang Zhang, Xiaoqian Wang

“…Objectives Microbial contamination of various accessory parts of the dental chair units (DCUs) is an essential source of cross infection, while the accessories of the crucial suction function are usually overlooked. …”
Get full text

Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
Get full text

The transcription factor Ste12 mediates the regulatory role of the Tmk1 MAP kinase in mycoparasitism and vegetative hyphal fusion in the filamentous fungus Trichoderma atroviride. by Sabine Gruber, Susanne Zeilinger

“…Here we analyzed the functions of the T. atroviride Ste12 transcription factor whose orthologue in yeast is targeted by the Fus3 and Kss1 MAP kinases. …”
Get full text

Cost-Effective Photoacoustic Imaging Using High-Power Light-Emitting Diodes Driven by an Avalanche Oscillator by Alberto Prud’homme, Frederic Nabki

“…While lasers have traditionally been the light source for PAI, their high cost and complexity drive interest towards alternative sources like light-emitting diodes (LEDs). …”
Get full text

The Development and Use of a Genre Statement for Electronic Journals in the Sciences by Jennifer Weintraub

“…A third section describes the selection strategy for scientific electronic journals, including the key selection tools and sources used (print and electronic) in identifying electronic journals for consideration. …”
Get full text

Safety and Probiotic Evaluation of Lactiplantibacillus plantarum CHEN1 and Its Metabolic Analysis of Soymilk Oligosaccharides by Zhina CHEN, Shiyi CAO, Linlin YIN, Mengyuan SHAO, Tao YE, Zhangrui XU, Xiaochen HUANG

“…The genetic characteristics of the strain were analyzed through genome sequencing and functional annotation. Phenotypic experiments, including hemolytic activity assays, detection of harmful metabolites, antibiotic susceptibility testing, tolerance experiments, hydrophobicity, and autoaggregation assays were conducted to evaluate its safety and probiotic potential. …”
Get full text

Fast-timing spectroscopy with the ν-ball2 spectrometer by Pascu S., Hiver C., Podolyák Zs., Regan P.H., von Tresckow M., Wilson J.N.

“…These observables and their corresponding transition probabilities are key fingerprints for the structure of atomic nuclei, as they are sensitive to small components of the wave function. Neutron-rich nuclei have been populated in a two-step fission-induced experiment. …”
Get full text

Theoretical Model of Possibility of 15-minute City in Urban Planning Using the Meta-Synthesis Method by Hafez Mahdnejad

“…About 81% of the sources are related to the years 2022 and 2021. 16% of the selected sources are related to the years 2020 and 2019. …”
Get full text

Combining dopamine and glucose sensings on paper devices for the metabolic study of neurosecretion by Rémi F. Dutheil, Dabeaurard Tho, Iman Pitroipa, Raphaël Trouillon

“…Glucose, the main source of energy of the human body, and dopamine, a major neurotransmitter, are two analytes widely investigated in the study of the brain. …”
Get full text

A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
Get full text