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A novel preparation of silver nanoparticles using Morus nigra leaves extract, as opposed to the physical and chemical methods had been used in this work. Their active phytochemical compounds will reduce Ag+ and form AgNPs (Ag0). A peak spectrum at 460 nm was formed and confirmed as the Surface Plasmon Resonance (SPR). Vibration at 1643 cm-1 and 3286 cm-1 which characteristic of C=C bonds and (-OH) hydroxyl groups, respectively. An X-ray diffraction (XRD) examination of silver with good crystallinity revealed its distinctive pattern. According to the results of transmission electron microscopy (TEM), the produced AgNPs-Morus nigra leaves extract were between 10 and 20 nm in size. Using L-dihydroxyphenylalanine (L-DOPA) as the substrate, the synthesized AgNPs-Morus nigra were tested for their tyrosinase inhibitory activity, and the results are substantial when compared to kojic acid as a control. The percentages of inhibition from crude extract, AgNPs, and kojic acid at 100 µg/mL are to be found at 12.10 %, 64.80 %, and 59.84 %, respectively. Based on the results of this work, AgNPs can be produced by utilizing a green synthesis method with leaves extract, making them a promising candidate for use in medicine and cosmetics.

Stenotrophomonas maltophilia is a low-virulence opportunistic pathogen that causes human infections, especially in profound ill patients. Even if the bacterial genomes seem understood, the activities of many proteins are unknown. The purpose of our current research is to unravel the functional characteristics i.e. functional domain search and valuable regions of a hypothetical protein that would aid in the identification of potential drug targets in Stenotrophomonas maltophilia. The hypothetical protein of S.maltophilia was located and annotated using different in silico techniques. Our target protein was predicted to be Transcrip Reg superfamily YebC/PmpR based on motif and domain analysis by functional annotation tools. The regulator proteins of the YebC family are part of a vast collection of widely conserved hypothetical proteins with unclear functions. Examining and reviewing the function of YebC family protein, they repress Quorum sensing by directly binding to the promoter region of QS master regulator pqrS. It has also been reported that T3SS expression is regulated by YebC, to activate the virulence expression direct interaction with one of the T3SS promoters is needed.

This article aimed to analyze the factors that influence the pros and cons of the community regarding the COVID-19 vaccine policy and discuss the formulation of the Indonesian Government's policy regarding the distribution of an effective vaccine to realize the right to life amid the COVID-19 pandemic. Furthermore, the methodology of this research is normative, in the hope that the research approach was carried out for researchers to obtain information from various aspects in order to find the issues to be addressed. Normative research uses legal materials obtained through scientific literature or the law. The results of the conclusion show that the factors influencing the pros and cons of the community regarding the fulfillment of the right to life through vaccine policies consisted of multicultural settings that affected the mindset and perspective of the community in perceiving the COVID-19 virus outbreak so that there were differences of opinion regarding government policies that echoed mass vaccines to aggravate the number of the positive cases. Besides, the government's consistency factor in the form of data disclosure regarding COVID-19 led the public to obtain inaccurate information from various sources, giving rise to diverse public opinions. The formulation of government policies related to the provision of effective vaccines to realize the right to life amid the COVID-19 pandemic was done through the 3S vaccine policy, namely before the vaccine, during the vaccine, and after the vaccine. These included campaigns of the main objectives of the COVID-19 vaccine, priority allocation of COVID-19 vaccinations, and efforts to supervise COVID-19 vaccinations.

Total knee arthroplasty (TKA) implants are becoming an interesting subject in implant design research and development activities due to their complexity. They should be able to facilitate knee movement while supporting body weight during daily usage. Meanwhile, incidents such as hyperflexion in TKA implants outside their designated configuration can lead to subluxation and dislocation in this study, a polyethylene component of a posterior-stabilized right knee joint implant was developed to facilitate a high range of motion (ROM). Finite element analysis (FEA) was used to analyze the contact area on the polyethylene component. FEA was used to simulate weight-bearing conditions at 0°, 30°, 60°, 90°, 120°, and 150° of knee flexion. The modified polyethylene component resulted in better performance in terms of contact area, especially at 120° of knee flexion. The two dominant contact areas on the polyethylene component were 733 mm² at 0° of knee flexion and 576 mm² at 120° of knee flexion. Furthermore, the current design of the polyethylene component can maintain a contact area of 65 mm² at 150° of knee flexion. The current design is expected to accommodate deep knee flexion movement in daily activities and reduce the possibility of subluxation and dislocation at the polyethylene component during deep knee flexion. In addition, a large contact area can reduce the potential wear on or fracture of the polyethylene component. Finally, the result of FEA was validated using a simulator of knee kinematic motion; there was no indication of subluxation and dislocation at any degree of knee flexion.

Phong A Tran,1–3 Neil O’Brien-Simpson,4 Jason A Palmer,5 Nathalie Bock1,6 Eric C Reynolds,4 Thomas J Webster,7 Anand Deva,8 Wayne A Morrison,5 Andrea J O’Connor31School of Chemistry, Physics and Mechanical Engeneering, Faculty of Science and Engeneering, Queensland University of Technology (QUT), Brisbane, Queensland 4000, Australia; 2Interface Science and Materials Engineering Group, School of Chemistry, Physics & Mechanical Engineering, QUT, Brisbane, Queensland 4000, Australia; 3Departments of Chemical and Biomedical Engineering, The Particulate Fluid Processing Centre, The University of Melbourne, Melbourne, Victoria 3010, Australia; 4Oral Health Cooperative Research Centre, Melbourne Dental School, The University of Melbourne, Melbourne, Victoria 3010, Australia; 5O’ Brien Institute, St. Vincent’s Institute of Medical Research, Fitzroy, Victoria 3065, Australia; 6School of Biomedical Sciences, Faculty of Health, Institute of Health and Biomedical Innovation, Translational Research Institute, QUT, Brisbane, QLD, Australia; 7Department of Chemical Engineering, Northeastern University, Boston, MA 02115, USA; 8Surgical Infection Research Group, Australian School of Advanced Medicine, Macquarie University, Sydney, NSW, AustraliaBackground: Bacterial infection is a common and serious complication in orthopedic implants following traumatic injury, which is often associated with extensive soft tissue damage and contaminated wounds. Multidrug-resistant bacteria have been found in these infected wounds, especially in patients who have multi trauma and prolonged stay in intensive care units.Purpose: The objective of this study was to develop a coating on orthopedic implants that is effective against drug-resistant bacteria.Methods and results: We applied nanoparticles (30-70nm) of the trace element selenium (Se) as a coating through surface-induced nucleation-deposition on titanium implants and investigated the antimicrobial activity against drug resistant bacteria including Methicillin-resistant Staphylococcus aureus (MRSA) and Methicillin-resistant Staphylococcus epidermidis (MRSE) in vitro and in an infected femur model in rats.The nanoparticles were shown in vitro to have antimicrobial activity at concentrations as low as 0.5ppm. The nanoparticle coatings strongly inhibited biofilm formation on the implants and reduced the number of viable bacteria in the surrounding tissue following inoculation of implants with biofilm forming doses of bacteria.Conclusion: This study shows a proof of concept for a selenium nanoparticle coatings as a potential anti-infective barrier for orthopedic medical devices in the setting of contamination with multi-resistant bacteria. It also represents one of the few (if only) in vivo assessment of selenium nanoparticle coatings on reducing antibiotic-resistant orthopedic implant infections.Keywords: orthopedic, implants, antimicrobial, biofilm, selenium, nanoparticles

This paper presents a study on the effect of the mixed volume fraction of Jatropha curcas Oil (JCO) and Olea europea or extra virgin olive oil (EVOO) on the physical properties of the oil, especially viscosity, density and water content. This study also presents the mechanical properties examination result, especially its effect on the wear rate of the pin on disc tribometer results on ST 41 steel specimens, using optical microscopy. The independent variables used were variations of the oil mixture: 0, 20, 40, 60, 80 and 100% EVOO. With the increase in the percentage of the EVOO mixture in JCO, the density decreases. The result of water content in a higher percentage of JCO, the higher the water content value of 0.1217%. Pure JCO has the higher viscosity value of 1.9084 m2/s. The higher the percentage of JCO, the lower the wear rate value obtained. In the tribometer test, the pin on disk mixture of pure JCO has the lower wear value of 5.09 m2/s.

BACKGROUND: The efficacy of simvastatin in critically ill patients with coronavirus disease 2019 (Covid-19) is unclear. METHODS: In an ongoing international, multifactorial, adaptive platform, randomized, controlled trial, we evaluated simvastatin (80 mg daily) as compared with no statin (control) in critically ill patients with Covid-19 who were not receiving statins at baseline. The primary outcome was respiratory and cardiovascular organ support-free days, assessed on an ordinal scale combining in-hospital death (assigned a value of -1) and days free of organ support through day 21 in survivors; the analyis used a Bayesian hierarchical ordinal model. The adaptive design included prespecified statistical stopping criteria for superiority (>99% posterior probability that the odds ratio was >1) and futility (>95% posterior probability that the odds ratio was

Abstract Soil contamination with heavy metals presents a substantial environmental peril, necessitating the exploration of innovative remediation approaches. This research aimed to investigate the efficiency of nano-silica in stabilizing heavy metals in a calcareous heavy metal-contaminated soil. The soil was treated with five nano-silica levels of 0, 100, 200, 500, and 1000 mg/kg and incubated for two months. The results showed that nano-silica had a specific surface area of 179.68 $${\text{m}}^{2}/\text{g}$$ m 2 / g . At 1000 mg/kg, the DTPA-extractable concentrations of Pb, Zn, Cu, Ni, and Cr decreased by 12%, 11%, 11.6%, 10%, and 9.5% compared to the controls, respectively. Additionally, as the nano-silica application rate increased, both soil pH and specific surface area increased. The augmentation of nano-silica adsorbent in the soil led to a decline in the exchangeable (EX) and carbonate-bound fractions of Pb, Cu, Zn, Ni, and Cr, while the distribution of heavy metals in fractions bonded with Fe–Mn oxides, organic matter, and residue increased. The use of 1000 mg/kg nano-silica resulted in an 8.0% reduction in EX Pb, 4.5% in EX Cu, 7.3% in EX Zn, 7.1% in EX Ni, and 7.9% in EX Cr compared to the control treatment. Overall, our study highlights the potential of nano silica as a promising remediation strategy for addressing heavy metal pollution in contaminated soils, offering sustainable solutions for environmental restoration and ecosystem protection.

By looking at previous literature, this study aimed to analyze the construct of plyometric exercise variation. Comprehensive methods are used for these articles, such as searching for articles in database research journals. Semantic, Scopus, Scholar, and Crossref are the data sources for this database. The variety of plyometric exercises and vertical jump skills are the main themes. Fifty-one articles were verified, and then 12 articles were evaluated based on objectives, topics, sample size, research protocols, and results. Plyometric exercises are exercises in which the movements are explosive and, besides being practical, also train muscle strength, muscular endurance, flexibility, and agility. The purpose of volleyball training is so that players can acquire good basic techniques, strengthen physical strength, and develop interests and talents. To improve jumping ability, various exercises are performed from the beginner level. Therefore, the ability to jump and jump is essential for the volleyball game. The novelty in this study is the using a form of plyometric exercise that is varied according to the characteristics of athletes aged 14-17 years that have never previously been applied in volleyball clubs, which is the focus in this study of plyometric exercise variation methods, namely plyometric squat jump, skipping and hurdle hopping. The intensity of the exercise will be adjusted to the characteristics, and physiological development of male athletes aged 14-17 years.

Penelitian ini mengeksplorasi penerapan arsitektur deep learning berbasis transformer untuk mengidentifikasi emosi dari ulasan pelanggan e-commerce berbahasa Indonesia. Menggunakan dataset yang terdiri dari 5.400 ulasan pelanggan, model ini dirancang untuk mengklasifikasikan lima kategori emosi: Happy, Sadness, Anger, Love, dan Fear. Hasil analisis menunjukkan kecenderungan pelanggan untuk berbagi pengalaman positif dengan dominasi emosi Happy dalam ulasan. Model Transformer berhasil mencapai akurasi klasifikasi keseluruhan sebesar 77,2%, dengan efisiensi waktu pelatihan yang optimal sekitar 90 detik. Evaluasi performa menggunakan confusion matrix dan metrik presisi, recall, dan F1-score memberikan wawasan tentang keefektifan model dalam membedakan emosi kompleks. Temuan ini merefleksikan potensi pemanfaatan teknologi deep learning dalam meningkatkan pemahaman terhadap perilaku pelanggan dan mendukung pengembangan strategi bisnis yang responsif. Kata kunci: Transformer, Ulasan Pelanggan, Klasifikasi Emosi

Abstract Background Sodium-glucose cotransporter-2 (SGLT2) inhibitors have demonstrated reduction in heart failure outcomes in patients with type 2 diabetes mellitus, although the exact mechanism of benefit remains unclear. Alteration in left atrial (LA) function due to chronic pressure or volume overload is a hallmark of heart failure. Objective To evaluate the effect of the SGLT2 inhibitor empagliflozin on LA volume and function. Methods 90 patients with coronary artery disease and type 2 diabetes (T2DM) were randomized to empagliflozin (n = 44) or placebo (n = 46), and underwent cardiac magnetic resonance (CMR) imaging at baseline and after 6 months. The main outcome was change in LA volume; LA function, including active and passive components, was also measured by a blinded reader. Results At baseline, there was no significant difference in LA volumes between the empagliflozin (indexed maximum LA volume 26.4 ± 8.4mL/m2, minimum LA volume 11.1 ± 5.7mL/m2) and placebo (indexed maximum LA volume 28.7 ± 8.2mL/m2, minimum LA volume 12.6 ± 5.0mL/m2) groups. After 6 months, changes in LA volumes did not differ with adjusted difference (empagliflozin minus placebo): 0.99 mL/m2 (95% CI: -1.7 to 3.7 mL/m2; p = 0.47) for indexed maximum LA volume, and 0.87 mL/m2 (95% CI: -0.9 to 2.6 mL/m2; p = 0.32) for indexed minimum LA volume. Changes in total LA emptying fraction were also similar, with between-group adjusted mean difference − 0.01 (95% CI: -0.05 to 0.03, p = 0.59). Conclusion SGLT2 inhibition with empagliflozin for 6 months did not have a significant impact on LA volume and function in patients with T2DM and coronary artery disease. (Effects of Empagliflozin on Cardiac Structure in Patients with Type 2 Diabetes [EMPA-HEART]; NCT02998970).