Challenges and Perspectives of Neurological Disorders: Series II.

Neurological disorders (NDs) has become the foremost public health threat across the globe in recent years, resulting in upsetting and devastating outcomes [...

Factors that influence the employability skills of vocational school students: A Systematic Review.

Employability skills of vocational high school students are needed to prepare for a reliable, professional, and globally competitive world of work. The poor work skills of vocational high school students are influenced by many factors. This study analyzes the research trends and factors that influence vocational high employability.

Mechanical performance analysis of a 3D printing-based transtibial prosthetic socket against the gait cycle using the finite element method.

In order to restore near-normal gait patterns and increase patients' mobility post-amputation, prosthetic sockets are crucial. Currently, few 3D-printed prosthetic sockets are available, and little research has been conducted on their mechanical performance. Thus, the purpose of this study is to assess and characterize the performance of polyethylene terephthalate (PET), polycarbonate (PC), and polyamide 6/Nylon 6 (PA6) materials in prosthetic sockets fabricated 3D printing.

Impact of surface roughness and preheat temperature on fecrbmnsi coating properties prepared by the twin wire Arc spray method.

The purpose of this study is to evaluate the effects of substrate surface roughness (35 μm and 40 μm) and preheat temperature (50 °C, 100 °C, 150 °C) on the properties of the FeCrBMnSi coating layer applied to 304 stainless steels using the TWAS (Twin Wire Arc Spray) method. Surface preparation involved sandblasting and preheat treatment, followed by coating application with TWAS, and subsequent characterization using pull-off bonding, hardness, corrosion rate, Light Optical Microscope (LOM), and scanning electron microscopy (SEM) test. The current study's findings indicate that increasing preheat temperature and surface roughness consistently reduces the percentage of porosity, unmelted material, and coating layer thickness.

Synthetic approach to borrelidin fragments: focus on key intermediates.

Borrelidin, a naturally occurring antibiotic, has attracted considerable interest due to its diverse biological activities and complex molecular architecture. Although extensive research has explored its pharmacological properties and various synthetic approaches, significant challenges remain in the efficient synthesis of borrelidin and its analogs. Existing literature largely focuses on total synthesis, bioactivity, and structural modifications, leaving a notable gap in fragment-focused synthesis, particularly for its intricate substructures.

Oil palm residue-based cellulose acetate membranes enhanced with zinc oxide and n-methyl pyrrolidinone for batik wastewater treatment.

As the world's top producers of oil palm (Elaeis guineensis), Indonesia and Malaysia are urged to propose a value-added valorization of its lignocellulosic biomass, oil palm empty fruit bunches (OPEFB). Meanwhile, the nations' signature 'batik' textile industries are in dire need of optimum remediation treatments of their wastewater high in harmful dyes and chemicals. Organic-inorganic hybrid systems of mixed matrix membranes (MMMs) for heavy metals removal were prepared using OPEFB-based cellulose acetate (CA) and zinc oxide (ZnO; 0.

Students' performance dataset for using machine learning technique in physics education research.

There is a need to help advance research on using machine learning and data mining techniques in physics education research (PER), which might still be difficult due to the unavailable dataset for the specific purpose of PER. The SPHERE (Students' Performance Dataset in Physics Education Research) is presented as an educational dataset of physics learning collected through research-based assessments (RBAs) established by the PER scholars. In this study, students' performance in physics at four public high schools was probed in three learning domains.

Meaning of life as a protective factor against early mortality: Implications for life expectancy.

Research by Sutin et al. [16] shows a significant relationship between the meaning of life and reduced risk of mortality from various causes, including cancer, respiratory diseases, and COVID-19. Based on data from the UK Biobank, individuals with higher levels of meaning in life have a 15 % lower risk of death, even after accounting for social-demographic factors, clinical conditions, and health behaviors.

High frequency of the PIK3CA H1047L mutation in Indonesian breast cancer across molecular subtypes.

Breast cancer (BC) is a global health concern with significant mortality rates, necessitating a deep understanding of its molecular landscape. Luminal A and B BC, characterized by estrogen receptor (ER) and/or progesterone receptor (PR) positivity, face challenges in endocrine therapy due to acquired resistance, frequently driven by PI3K/AKT/mTOR pathway activation. This study focuses on the frequency of PIK3CA mutations across molecular subtypes BC within the Indonesian population.

Effect of alkaline treatment on the thermal and mechanical properties of sugar palm fibre reinforced thermoplastic polyurethane composites.

This study examines the impact of alkaline treatment on the mechanical, thermal, and morphological properties of sugar palm fiber (SPF)-reinforced thermoplastic polyurethane (TPU) composites. SPF fibers (250 μm) were treated with sodium hydroxide (NaOH) solutions of 0%, 2%, 4%, and 6% (w/w) for 90 min at room temperature. These fibers were then mixed with TPU in an extruder at 180-200 °C and molded into composite sheets using compression molding at 190 °C, 10 MPa pressure, and a 10-minute holding time.

Understanding significant experiences of adolescent athletes' participation in competitive sports life: a systematic review.

This research aims to investigate the significant experiences of adolescent athletes in competitive sports activities and their development through the available literature. This study systematically reviews research on adolescent athletes participating in competitive sports over the past 10 years. We evaluated and reported 19 studies in four sections: sample characteristics, research design, significant experiences, and key findings related to the development of adolescent athletes.

Hypoxia-conditioned mesenchymal stem cells (MSC) exosomes attenuate ultraviolet-B (UVB)-mediated malondialdehyde (MDA) and matrix metalloproteinase-1 (MMP)-1 upregulation in collagen loss models.

Aim: To investigate the effects of exosome-derived human mesenchymal stem cells (EH-MSCs) on matrix metalloproteinase-1 (MMP)-1 and malondialdehyde (MDA) levels in ultraviolet-B (UVB)-irradiated Wistar rats.

Methods: The study used a post-test-only control group design with randomized allocation. Thirty rats were exposed to UVB radiation (302 nm, 150 mJ/cm²) for 8 minutes, five times a week over two weeks.

Fully bio-based cellulose ester synthesis from natural aldehydes aerobic oxidation.

This study presents a novel synthetic method to synthesize fully bio-based cellulose esters from natural aldehydes in a multi-functional ionic liquid (as a solvent for cellulose and as an esterification and oxidation catalyst) in atmospheric oxygen. The aerobic oxidative esterification of cellulose with high atom economy proceeded under metal-free conditions without any additional catalysts or activators.

Cost-effective production of kombucha bacterial cellulose by evaluating nutrient sources, quality assessment, and dyeing methods.

Kombucha is a popular fermented beverage that involves fermentation using a symbiotic culture of bacteria and yeast (SCOBY) and produces bacterial cellulose (BC). Carbon and nitrogen sources are essential in kombucha processing and BC production. However, studies on cost-effective BC production as an alternative source of leather have remained scarce.

Predicting microplastic quantities in Indonesian provincial rivers using machine learning models.

Microplastic pollution has surfaced as a critical environmental concern, affecting ecosystems and human health globally. This study explored the application of several machine learning models, including the Tree algorithm, k-Nearest Neighbors (kNN), Random Forest (RF), Linear Regression (LR), Support Vector Machine (SVM), and Neural Networks (NN), to predict microplastic concentrations in the rivers of Indonesia's 24 provinces. By utilizing both environmental and anthropogenic data, the Tree algorithm exhibited the best performance, achieving a coefficient of determination (R) of 0.

Incremental versus saturation hypotheses for behavioral nudge in reducing sugar consumption.

Objective: This field experiment examined the efficacy of a behavioral nudge intervention towards lowering sugar intake in Indonesia. Specifically, two competing hypotheses were tested as to whether behavioral nudge played an additive role (i.e.

Effect of carbon black supports on the hydrogen evolution reaction activity of Pd nanoparticle electrocatalysts synthesized solution plasma sputtering.

The hydrogen evolution reaction (HER) is a pivotal electrochemical process in water electrolysis, essential for hydrogen production. The efficiency and kinetics of HER are significantly influenced by the choice of catalyst and its support material. In this study, we investigated the effect of carbon supports on palladium (Pd) nanoparticle electrocatalysts synthesized the solution plasma sputtering process for HER.