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Abstract Stem cell-derived RPE replacement is a potential therapeutic for advanced AMD that is characterized by macular scarring and geographic atrophy leading to severe vision loss. Although the field of stem cell-diffe...

The invasive brain-computer interface (BCI) is a method that involves implanting microelectrodes into brain tissue to collect neural electrical signals. The signals obtained through this method are often of high precisio...

Leaf-cutter ants play a crucial role in agroecosystems, and understanding their behavior is key to developing effective damage control strategies. While several tracking solutions exist for ants in controlled environment...

ABSTRACT Background and Aims De novo drug design is the process of generating novel lead compounds that possess desirable pharmacological activities and optimal physicochemical properties for therapeutic development. In ...

Objective: To identify risk factors for post-radiation xerostomia and to evaluate the tolerance to doses administered to the parotid gland in patients with nasopharyngeal carcinoma (NPC). Methods: A total of 462 patients...

Abstract The molecular control and ancestral state of dorsal–ventral patterning within spiralians remain unclear due to the remarkable diversity across species. Here we present a chromosome-level genome for the brachio...

Incorporating polarization in computer vision tasks provides new solutions to high-level analytics, in particular when coupled with machine learning frameworks such as convolutional neural networks (CNN). A recent review...

Background: Osteoporosis has long been considered a disorder confined to bone tissue. Growing evidence now highlights its systemic origins, governed by intricate communication between multiple organs. The multi-organ-bon...

ABSTRACT Deep brain stimulation (DBS) for treatment‐resistant depression (TRD) is challenged by significant individual variability in efficacy and unclear neural circuit mechanisms. To address this, a cross‐species, ...

Thymic stromal cells drive T cell development by supplying key cues for progenitor proliferation and differentiation. Although thymic epithelial cells are well characterized, recent studies highlight crucial functions of...

Abstract Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in...

The present study focuses on proposing various statistical models, such as linear regression (LR), nonlinear regression (NLR), and artificial neural network (ANN), to forecast the compressive strength of environmentally ...

"Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing...

Spatial expansion and increasing population of cities is turning them into neuralgic points of the food supply chain. Due to its structure and the speed of life processes, food is delivered to urban centres through con...

Early ethanol exposure alters neonatal breathing plasticity. Respiratory EtOH's effects are attributed to central respiratory network disruptions, particularly in the medullary serotonin (5HT) system. In this study we ev...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

Bisphenol A (BPA) can combine with glycidyl methacrylate to form bisphenol A glycidyl methacrylate (Bis-GMA). Bis-GMA is an important industrial raw material and a significant component of dental resin materials. Althoug...

Efficient current control in boost converters is critical for electric vehicle (EV) battery charging applications, where dynamic operating conditions challenge conventional control strategies. This paper presents a novel...

IntroductionMalodors in the human body can diminish comfort in living and working environments, potentially increasing stress and dissatisfaction levels. Therefore, there is a growing need to objectively characterize the...

This study examines the application of artificial intelligence in analyzing and understanding the urban morphology of Zanjan. The primary objective of this research is to propose a machine learning-based framework for th...

Abstract The Internet plays a pivotal role in tackling global climate challenges, particularly in facilitating a transition toward low-carbon behavior. However, the mechanisms by which the Internet shapes low-carbon beha...

Abstract With the development of sports rehabilitation, accurate assessment of the patient’s rehabilitation process has become the key to enhance the rehabilitation effect. To solve the problems of inaccurate recogniti...

Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...

Disrupted hippocampal performance underlies psychiatric comorbidities and cognitive impairments in patients with neurodegenerative disorders. To understand the contribution of adult hippocampal neurogenesis (AHN) to amyo...