Instrumenting Parkrun: Usefulness and Validity of Inertial Sensors.

The analysis of running gait has conventionally taken place within an expensive and restricted laboratory space, with wearable technology offering a practical, cost-effective, and unobtrusive way to examine running gait in more natural environments. This pilot study presents a wearable inertial measurement unit (IMU) setup for the continuous analysis of running gait during an outdoor parkrun (i.e.

Synergistic photocatalytic degradation of methylene blue and ibuprofen using Co₃O₄-Decorated hexagonal boron nitride (hBN) composites under Sun-like irradiation.

In this study, we report the synthesis and photocatalytic performance of Co₃O₄-decorated hexagonal boron nitride (hBN) composites for degrading methylene blue (MB) and ibuprofen (IBF) under sunlight irradiation. Using a dry impregnation method, the composites were prepared with varying Co₃O₄ loadings (0.5%, 1%, 2%).

Comparison of single-catheter with two-catheter concept in older female patients undergoing transradial coronary angiography.

Background: The aim of this study was to compare the efficacy outcomes of the traditional Judkins left and right catheters with those of the recently introduced Tiger catheter in female participants aged 65 years and older who underwent transradial coronary angiography.

Methods: A cohort of 160 female patients aged 65 and older who were scheduled for coronary angiography (CAG) were divided into two groups according to the use of Tiger (n = 80) or Judkins (n = 80) catheters for radial angiography at a ratio of 1:1, respectively. We analyzed the effectiveness of the Tiger and Judkins catheters, the incidence of catheter failure, contrast volume, CAG time, fluoroscopy time, dose-area product (in mGy/cm), and the occurrence of radial spasm.

Approaching a nationwide registry: analyzing big data in patients with heart failure.

Background/aim: Randomized controlled trials usually lack generabilizity to real-world context. Real-world data, enabled by the use of big data analysis, serve as a connection between the results of trials and the implementation of findings in clinical practice. Nevertheless, using big data in the healthcare has difficulties such as ensuring data quality and consistency.

Comparison of the effectiveness of nebulizer treatment applications in acute exacerbation of chronic obstructive pulmonary disease: a randomized controlled trial.

Objective: In addition to oxygen support, bronchodilator therapy constitutes the most essential treatment step in patients with chronic obstructive pulmonary disease. Our study aimed to compare the effectiveness of nebulizer treatments in patients who presented to the emergency department with acute exacerbation of chronic obstructive pulmonary disease.

Methods: Our study included 60 Group E chronic obstructive pulmonary disease patients admitted to the emergency department due to acute exacerbation of chronic obstructive pulmonary disease between June and September 2023 (NCT: 06178068).

Evaluation of Left Ventricular Systolic Functions of Patients with Exaggerated High Blood Pressure Response to Treadmill Exercise Test with Two-Dimensional Longitudinal Strain Imaging.

Background: An exaggerated hypertensive response (EHR) during exercise is linked to increased cardiovascular risk and mortality. This study aims to assess structural and functional cardiac changes, along with subclinical myocardial damage, using transthoracic echocardiography (ECHO) and 2D longitudinal strain analysis in patients showing a hypertensive response to treadmill exercise.

Methods: Patients without known chronic diseases, presenting to the Cardiology Department at Health Sciences University Gülhane Training and Research Hospital, were divided into 2 groups based on their blood pressure response during treadmill exercise: exaggerated hypertensive response (EHR, n = 42) and normal response (control, n = 44).

High-Resolution Atomic Force Microscopy Investigation of Alginate Hydrogel Materials in Aqueous Media.

Alginate hydrogels are frequently used in 3D bioprinting and tissue repair and regeneration. Establishing the structure-property-performance correlation of these materials would benefit significantly from high-resolution structural characterization in aqueous environments from the molecular level to continuum. This study overcomes technical challenges and enables high-resolution atomic force microscopy (AFM) imaging of hydrated alginate hydrogels in aqueous media.

Bibliometric analysis of genomic selection in breeding of animal from 1993 to 2024: global trends and advancements.

Animal breeding became a difficult science when numerous genes influenced economically significant features. The major source of genetic improvement is selection, and as such, the large generation intervals in these strategies lead to reduced rates of improvement. Therefore, breeding control, genetic improvement research, and selection processes are accelerated by genomic selection.

PROTOCOL: Employee work motivation, effort, and performance under a merit pay system: A systematic review.

This is the protocol for a Campbell systematic review. The objectives are as follows: One goal of this systematic review is to identify whether merit pay predicts employee work motivation, effort, and performance; a second goal is to determine whether the association between merit pay and subsequent employee work motivation, effort, and performance is stronger depending on the actual relationship between the performance ratings and merit increases received, as well as on the perceived relationship by employees between their performance and their pay; a third goal is to identify whether the association between merit pay and subsequent employee motivation depends on what type of motivation is measured (i.e.

Prediction of complications after laparoscopic partial nephrectomy: feasibility of E‑PASS score.

Purpose: With significant advancements in laparoscopic procedures and tools over the last decade, the partial nephrectomy (PN) surgical approach has gradually transformed from open to laparoscopic partial nephrectomy (LPN). Although numerous studies evaluating the postoperative complications of laparoscopic partial nephrectomy can be found in the literature, a scoring system that addresses both preoperative physical condition and intraoperative risk factors has not yet been established. The Estimation of Physiological Ability and Surgical Stress (E-PASS) score is a scoring system that considers both the patient's preoperative condition and intraoperative variables to predict the risk of postoperative complications in surgically treated patients.

Assessing the Turkish version of the Individual Work Performance Questionnaire (IWPQ) for its validity and reliability.

Backgrounds: This study aimed to assess the validity and reliability of the Turkish version of the Individual Work Performance Questionnaire (IWPQ).

Methods: A total of 340 adult participants who had been working for at least 8 h a day completed the study questionnaire online. The questionnaire consisted of sections on demographics and socioeconomic characteristics, the IWPQ, and the ultrashortened version of the Utrecht Work Engagement Scale (UWES-3).

Do morphometric data improve phylogenetic reconstruction? A systematic review and assessment.

Background: Isolating phylogenetic signal from morphological data is crucial for accurately merging fossils into the tree of life and for calibrating molecular dating. However, subjective character definition is a major limitation which can introduce biases that mislead phylogenetic inferences and divergence time estimation. The use of quantitative data, e.

A pilot study on the epidemiology, diagnosis and characterization of Echinococcus granulosus sensu lato in sheep, goats and dogs in Siirt province of Türkiye revealed remarkable adaptation of Echinococcus canadensis (G6/G7) in goats.

Cystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato (s.l.), represents one of the most significant zoonotic diseases globally, affecting both humans and animals.

Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data.

The continued scaling of genetic perturbation technologies combined with high-dimensional assays such as cellular microscopy and RNA-sequencing has enabled genome-scale reverse-genetics experiments that go beyond single-endpoint measurements of growth or lethality. Datasets emerging from these experiments can be combined to construct perturbative "maps of biology", in which readouts from various manipulations (e.g.

Clinical utility analysis of the Hoxb8 mast cell activation test for the diagnosis of peanut allergy.

Background: Peanut allergy is among the most severe and common food allergies. The diagnosis has a significant impact on the quality of life for patients and their families. An effective management approach depends on accurate, safe, and easily implementable diagnostic methods.

Deep learning for blood glucose level prediction: How well do models generalize across different data sets?

Deep learning-based models for predicting blood glucose levels in diabetic patients can facilitate proactive measures to prevent critical events and are essential for closed-loop control therapy systems. However, selecting appropriate models from the literature may not always yield conclusive results, as the choice could be influenced by biases or misleading evaluations stemming from different methodologies, datasets, and preprocessing techniques. This study aims to compare and comprehensively analyze the performance of various deep learning models across diverse datasets to assess their applicability and generalizability across a broader spectrum of scenarios.

Innovative Biosensor Technologies in the Diagnosis of Urinary Tract Infections: A Comprehensive Literature Review.

Urinary tract infections (UTIs) are prevalent bacterial infections globally, posing significant challenges due to their frequency, recurrence, and antibiotic resistance. This review delves into the advancements in UTI diagnostics over the past decade, particularly focusing on the development of biosensor technologies. The emergence of biosensors, including microfluidic, optical, electrochemical, immunosensors, and nanotechnology-based sensors, offers enhanced diagnostic accuracy, reduced healthcare costs.

Better understanding fall risk: AI-based computer vision for contextual gait assessment.

Contemporary research to better understand free-living fall risk assessment in Parkinson's disease (PD) often relies on the use of wearable inertial-based measurement units (IMUs) to quantify useful temporal and spatial gait characteristics (e.g., step time, step length).

Osseointegration potential of boron-coated titanium alloy pedicle screw in rabbit spine model.

Background: Spinal implants' longevity is crucial, but titanium alloys, while advantageous, lack strong bone integration. This study aimed to achieve better osseointegration rates by utilizing the ability of boron compounds to transform stem cells in the vertebra into osteoblasts.

Method: Twenty male albino rabbits were divided into control (n = 10) and experimental (n = 10) groups.

Linking Health Terminologies: A Unified Approach to the WHO Family of International Classifications.

This paper presents an effort by the World Health Organization (WHO) to integrate the reference classifications of the Family of International Classifications (ICD, ICF, and ICHI) into a unified digital framework. The integration was accomplished via an expanded Content Model and a single Foundation that hosts all entities from these classifications, allowing the traditional use cases of individual classifications to be retained while enhancing their combined use. The harmonized WHO-FIC Content Model and the unified Foundation has streamlined the content management, enhanced the web-based tool functionalities, and provided opportunities for linkage with external terminologies and ontologies.

Exploring the therapeutic potential of Leuconostoc mesenteroides lysates in wound healing and immune modulation on keratinocyte cells.

The skin, being the body's largest organ, primarily functions as a formidable defense mechanism against potential microbial infections. The skin's microbiota, consisting of a complex assembly of microorganisms, exerts a pivotal influence on skin homeostasis by modulating keratinocytes and their cytokine secretion, thereby playing an integral role in promoting optimal cutaneous health. Leuconostoc mesenteroides finds extensive application in the production of fermented foods and bacteriocins.

Potential Targeting Mechanisms for Bone-Directed Therapies.

Bone development is characterized by complex regulation mechanisms, including signal transduction and transcription factor-related pathways, glycobiological processes, cellular interactions, transportation mechanisms, and, importantly, chemical formation resulting from hydroxyapatite. Any abnormal regulation in the bone development processes causes skeletal system-related problems. To some extent, the avascularity of cartilage and bone makes drug delivery more challenging than that of soft tissues.

Using Video Technology and AI within Parkinson's Disease Free-Living Fall Risk Assessment.

Falls are a major concern for people with Parkinson's disease (PwPD), but accurately assessing real-world fall risk beyond the clinic is challenging. Contemporary technologies could enable the capture of objective and high-resolution data to better inform fall risk through measurement of everyday factors (e.g.