Research works

Focused ultrasound-mediated opening of the blood brain barrier for non-invasive drug delivery to the murine cerebellum

Abstract Background The blood brain barrier (BBB) limits effective treatment for cerebellar diseases. Region-specific parameterization and safety data for MRI-guided focused ultrasound (MRgFUS) BBB opening (BBBO) in the cerebellum are scarce. The goal of this study is to establis...

Bioactive phytochemicals and health-promoting effects of green onion (Allium fistulosum L.): a scoping review

Abstract As interest in health functional foods increases, research on plant-derived bioactive raw materials has expanded. Among Allium species, Allium fistulosum L. (green onion) remains relatively underexplored compared with Allium sativum L. (garlic), despite its historical pr...

ESG Uncertainty and Corporate Waste Management: Global Evidence

ABSTRACT Motivated by the growing concerns over environmental sustainability and the increasing relevance of environmental, social, and governance (ESG) metrics in corporate decision‐making, this study examines the impact of ESG‐related uncertainty on corporate waste management....

Intermediate rectal dose is associated with late toxicity after prostate SBRT: a dose–volume histogram principal component analysis

PURPOSE: To evaluate whether principal component analysis (PCA) of rectal and bladder dose-volume histograms (DVHs) identifies dose regions associated with late toxicity after prostate stereotactic body radiotherapy (SBRT). METHODS/PATIENTS: This retrospective single-institution...

Impact of an unrestricted clear liquid fasting protocol on pediatric perioperative outcomes: a prospective interventional study

PURPOSE: Traditional preoperative fasting guidance (6-4-2) aims to reduce aspiration risk but frequently produces prolonged fasting and discomfort in children. We evaluated whether progressively liberalizing the clear-liquid fasting policy reduces fasting time and improves the pe...

Childhood‐Onset Movement Disorders at the Forefront: From Genes to Precision Therapy

Data sharing not applicable to this article as no datasets were generated or analysed during the current study. Disclosure Form Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other...

A healthy lifestyle as a value-based and target-oriented vector of education

This article explores a new methodological approach to studying the development of healthy lifestyle values in the younger generation. It analyzes studies devoted to this issue and reveals the potential of a healthy culture. Data from a student survey is presented, demonstrating...

Engineering and land use intensified climate-driven Yangtze River flood hazards since the Little Ice Age

Understanding the interplay between climate variability and human activities is essential for assessing long-term river flood hazards. Yet, the relative contributions of natural and anthropogenic drivers to flood magnitude remain poorly constrained due to limited multicentury rec...

Probabilistic Graphical Modeling for Machine Tool Dynamics with a Case Study in 3D Printer Vibration Compensation

Abstract This paper presents a new framework for modeling machine tool dynamics, aiming to enable their integration in machine tool digital twins. The framework is formulated as a Dynamic Bayesian Network, in which model parameters, sensor and process observations, and decision v...

“Oh my gosh, you’re too young to be sick!”: Unpacking the consequences of workplace mistreatment for young adults with disabilities.

Despite comprising a significant percentage of the workforce and being susceptible to mistreatment, young adults with disabilities have not been widely focused on in the workplace mistreatment literature. In this study, we take an intersectional approach as we examine the specifi...

Weakly-Supervised Detection and Quantification of Vitreous Opacities in OCT Images Using Synthetic Data Augmentation

Vitreous opacities — colloquially known as eye floaters — represent a clinically underserved visual condition affecting an estimated 25% of the global population. Despite causing significant impairment in quality of life, no standardized objective measurement tool exists in clini...

A Cause-Oriented Cyber Threat Taxonomy: The Top Level Cyber Threat Clusters Framework

Cybersecurity discourse routinely uses the term "cyber threat" to denote several distinct concepts at once: the cause of a compromise, its outcome, the actor responsible, and the technique employed. This conflation impedes consistent classification, comparable incident documentat...

Where critique can become collaboration: celebrating Academic Medicine

Lauren A Maggio, MD; Where critique can become collaboration: celebrating Academic Medicine, Academic Medicine, , wvag223, https://doi.org/10.1093/acamed/w

PAIN MANAGEMENT IN ANKLE SPRAIN USING MARMA CHIKITSA: A CASE STUDY

Ankle sprain is a frequent musculoskeletal injury that commonly presents with pain, swelling, and limited mobility, affecting routine activities and quality of life. Conventional management strategies include rest, immobilization, and pharmacological interventions, which may not...

BURDEN OF PREDIABETES AND TYPE 2 DIABETES MELLITUS IN THE ANDIJAN REGION: EPIDEMIOLOGICAL FINDINGS FROM URBAN AND RURAL COMMUNITIES

Prediabetes and type 2 diabetes mellitus (T2DM) are among the most significant public health problems due to their increasing prevalence and high risk of cardiovascular and metabolic complications. Early identification of carbohydrate metabolism disorders plays an important role...

Eyettention II: A dual-sequence architecture for modeling fixation location, within-word landing position, and fixation duration in reading

Abstract The way our eyes move while reading provides valuable insights into both the reader’s cognitive processes and the properties of the text. In particular, eye-tracking-while-reading data has been shown to be highly beneficial in various technological applications, such as...

AN ADVERSARIAL AUTONOMOUS RISK GOVERNANCE SYSTEM FOR HIGH-FRICTION EMERGING EQUITY MARKETS UNDER MULTI-DAY SETTLEMENT AND PRICE CORRIDORS

Conventional deep reinforcement learning (DRL) algorithms and high‑frequency trading models in quantitative finance are built on idealized assumptions of market clearing — namely continuous settlement (T+0) and unlimited counterparty liquidity. Yet, when these systems are deploye...

Plant Disease Prediction System Using Deep Learning and Image Analysis

failure modes are worth naming, because they are mundane and therefore easy to overlook. Goods receipt notes are raised but not always dated accurately, particularly where material arrives outside working hours. Partial deliveries are recorded inconsistently, and a truck carrying...

The Jurisprudence and Ethics of Creation and Destruction: A Generative Relational Perspective

A party that has made something may often unmake it, and the law of property has treated that as among the strongest marks of ownership. This paper concerns cases where the category does not apply: a structure that several parties made together, that none of them owns, and that h...

Concurrent Associations Between the OMNI Rating of Perceived Exertion and Measures of Monitoring Training Load in Non-Elite Adolescent Team Sport Athletes

This study aimed to investigate associations between training load (TL) calculated using the OMNI rating of perceived exertion scale (OMNI-RPE) and heart rate (HR) and velocity-derived measures of TL in non-elite adolescent team sport athletes. Fifty-four athletes participated in...