Miracle-dz/UniFAR-FTUs huggingface dataset:
Leveraging Biomaterial Platforms to Study Aging-Related Neural and Muscular Degeneration

Aging is a complex multifactorial process that results in tissue function impairment across the whole organism. One of the common consequences of this process is the loss of muscle mass and the associated decline in muscle function, known as sarcopenia. Aging also presents with an increased risk of developing other pathological conditions such as neurodegeneration. Muscular and neuronal degeneration cause mobility issues and cognitive impairment, hence having a major impact on the quality of life of the older population. The development of novel therapies that can ameliorate the effects of aging is currently hindered by our limited knowledge of the underlying mechanisms and the use of models that fail to recapitulate the structure and composition of the cell microenvironment. The emergence of bioengineering techniques based on the use of biomimetic materials and biofabrication methods has opened the possibility of generating 3D models of muscular and nervous tissues that better mimic the native extracellular matrix. These platforms are particularly advantageous for drug testing and mechanistic studies. In this review, we discuss the developments made in the creation of 3D models of aging-related neuronal and muscular degeneration and we provide a perspective on the future directions for the field.
SISTEM INFORMASI MANAJEMEN KEPEGAWAIAN MA MIFTAHUL ULUM BENGKAK

Di era teknologi yang berkembang pesat saat ini, pemanfaatan sistem informasi menjadi kunci utama dalam mempercepat pengelolaan data serta meningkatkan validitas hasil sistem. Penelitian ini bertujuan untuk meneliti implementasi Sistem Informasi Manajemen Kepegawaian (SIMPEG) di MA Miftahul Ulum Bengkak. Dalam konteks pengelolaan kepegawaian, teknologi informasi memegang peran penting dalam meningkatkan efisiensi pelayanan kepada karyawan dan pengelolaan data kepegawaian. Namun, banyak institusi pendidikan masih menghadapi kesulitan dalam mengelola data kepegawaian secara manual, yang seringkali mengakibatkan masalah seperti kehilangan data, kerusakan berkas, dan kesulitan dalam mencari data yang dibutuhkan. Penelitian ini mencakup tahapan perencanaan, analisis, perancangan, implementasi, dan pemeliharaan sistem SIMPEG. Selama tahap perancangan, Metode Diagram Alir Data (DFD) digunakan untuk merancang sistem dan mendekati aspek fungsionalnya. Akibatnya, implementasi SIMPEG di MA Miftahul Ulum Bengkak telah memberikan dampak positif dalam meningkatkan efisiensi, transparansi, dan kualitas pengelolaan data kepegawaian. Ini sesuai dengan tujuan awal penggunaan teknologi informasi dalam manajemen kepegawaian, yang pada akhirnya berkontribusi pada peningkatan manajemen kepegawaian secara keseluruhan di institusi ini.
Evaluation of the corneal topography based on deep learning

Purpose The current study designed a unique type of corneal topography evaluation method based on deep learning and traditional image processing algorithms. The type of corneal topography of patients was evaluated through the segmentation of important medical zones and the calculation of relevant medical indicators of orthokeratology (OK) lenses. Methods The clinical data of 1,302 myopic subjects was collected retrospectively. A series of neural network-based U-Net was used to segment the pupil and the treatment zone in the corneal topography, and the decentration, effective defocusing contact range, and other indicators were calculated according to the image processing algorithm. The type of corneal topography was evaluated according to the evaluation criteria given by the optometrist. Finally, the method described in this article was used to evaluate the type of corneal topography and compare it with the type classified by the optometrist. Results When the important medical zones in the corneal topography were segmented, the precision and recall of the treatment zone reached 0.9587 and 0.9459, respectively, and the precision and recall of the pupil reached 0.9771 and 0.9712. Finally, the method described in this article was used to evaluate the type of corneal topography. When the reviewed findings based on deep learning and image processing algorithms were compared to the type of corneal topography marked by the professional optometrist, they demonstrated high accuracy with more than 98%. Conclusion The current study provided an effective and accurate deep learning algorithm to evaluate the type of corneal topography. The deep learning algorithm played an auxiliary role in the OK lens fitting, which could help optometrists select the parameters of OK lenses effectively.
Resting Eyes Closed Beta-Phase High Gamma-Amplitude Coupling Deficits in Children with Attention Deficit Hyperactivity Disorder

Objective Attention-deficit hyperactivity disorder (ADHD) is the neurobehavioral disorder with the largest prevalence rate in childhood. ADHD is generally assessed based on physical examination of the child and interviews, and therefore prone to subjectivity. This fact may lead to a high risk of mis- and over-diagnosis, a problem that can be addressed through the use of objective markers. Methods Here we propose to use phase-amplitude coupling as a digital biomarker in ADHD. We investigated the hypothesis that coupling between the phase of slow brain rhythms and the amplitude of fast rhythms is altered in the ADHD population. We tested this hypothesis measuring phase-amplitude coupling (PAC) in the 4 to 200Hz range in electroencephalographic (EEG) signals recorded in the central-frontal area in children during eyes closed resting state. Results Using automatic clustering, we observed statistically significant beta-gamma PAC deficits in the ADHD population in the frontal-left hemisphere. Conclusions These findings suggests alterations in the beta-gamma coupling in the ADHD population. We discuss the hypothesis that these alterations may be indicators of working memory and attention deficits. Significance The study of the coupling between the different brain rhythms can potentially contribute to the understanding and clinical diagnosis of ADHD.
Effectiveness of Drug Repurposing and Natural Products Against SARS-CoV-2: A Comprehensive Review

Abstract The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a betacoronavirus responsible for the COVID-19 pandemic, causing respiratory disorders, and even death in some individuals, if not appropriately treated in time. To face the pandemic, preventive measures have been taken against contagions and the application of vaccines to prevent severe disease and death cases. For the COVID-19 treatment, antiviral, antiparasitic, anticoagulant and other drugs have been reused due to limited specific medicaments for the disease. Drug repurposing is an emerging strategy with therapies that have already tested safe in humans. One promising alternative for systematic experimental screening of a vast pool of compounds is computational drug repurposing (in silico assay). Using these tools, new uses for approved drugs such as chloroquine, hydroxychloroquine, ivermectin, zidovudine, ribavirin, lamivudine, remdesivir, lopinavir and tenofovir/emtricitabine have been conducted, showing effectiveness in vitro and in silico against SARS-CoV-2 and some of these, also in clinical trials. Additionally, therapeutic options have been sought in natural products (terpenoids, alkaloids, saponins and phenolics) with promising in vitro and in silico results for use in COVID-19 disease. Among these, the most studied are resveratrol, quercetin, hesperidin, curcumin, myricetin and betulinic acid, which were proposed as SARS-CoV-2 inhibitors. Among the drugs reused to control the SARS-CoV2, better results have been observed for remdesivir in hospitalized patients and outpatients. Regarding natural products, resveratrol, curcumin, and quercetin have demonstrated in vitro antiviral activity against SARS-CoV-2 and in vivo, a nebulized formulation has demonstrated to alleviate the respiratory symptoms of COVID-19. This review shows the evidence of drug repurposing efficacy and the potential use of natural products as a treatment for COVID-19. For this, a search was carried out in PubMed, SciELO and ScienceDirect databases for articles about drugs approved or under study and natural compounds recognized for their antiviral activity against SARS-CoV-2.
Fair Trade Practices, Social Innovation and Social Impact: A Case of Mahaguthi Craft with A Conscience

This study presents the case of Mahaguthi Craft with a Conscience founded in 1984, a non-profit-distributing social enterprise that helps the marginalized small producers and generate employment. The main aim of this study is to evaluate fair trade practices, social innovation and social impact. This study is based on the primary data. This study analyzes data in the three different stages. First, evaluate the practices of fair trade by reviewing the existing documents, such as, self-declaration report of Mahaguthi and external social audit by World Fair Trade Organization (WFTO). That had been validated by an interview with the chief executive officer (CEO) of Mahaguthi Craft. Interview includes to evaluate social innovations and social impact Secondly, a structured survey questionnaire has been used to examine the social impact to beneficiaries, mainly, Mahaguthi employees. Results revels that Mahaguthi has been following ten principles of Fair Trade practices very effectively. Product innovation, supply chain management innovation, technology innovation, new business model and business ecosystem innovations are key points to Mahaguthi for positive change of social welfare of marginal group of peoples. Additionally, this study finds the major five components for measuring their impact to Mahaguthi staffs, such as, economic, self-confidence, organizational goal, social and leadership impact. Fair trade practices are the first stage of social innovation and positive impact to society. This case study may be the best example to practitioners and academia for operating social enterprise for social change through generation of employment.
Protective Effect of Artocarpus heterophyllus Lam. (Jackfruit) Polysaccharides on Liver Injury Induced by Cyclophosphamide in Mice

In recent years, Artocarpus heterophyllus Lam. (jackfruit) polysaccharides (namely JFP-Ps) have attracted much attention due to their multiple biological activities. This study aimed to explore the protective effects and the underlying mechanisms of JFP-Ps on cyclophosphamide (Cp)-induced liver damage. The protective effect of JFP-Ps was evaluated using HE staining, antioxidant testing, enzyme-linked immunosorbent assay (ELISA), real-time quantitative polymerase chain reaction (RT-qPCR), Western blot and ultra-performance liquid chromatography equipped with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) metabolomics analysis. The results showed that Cp caused pathological liver damage, activated oxidative stress and downregulated cytokine expression, while JFP-Ps treatment was found to exert antioxidant effects and play immune regulatory roles through mitogen-activated protein kinase/nuclear factor-κB (MAPK/NF-κB) related inflammation and cell apoptosis pathways to protect the Cp-induced liver injury. Metabolomic results showed that the liver-protective effects of JFP-Ps were mainly related to aminoacyl transfer ribonucleic acid (tRNA) biosynthesis, sphingolipid metabolism, purine metabolism and the citrate cycle. These results indicate that JFP-Ps have great potential application in alleviating liver injury.
Event-triggered robot self-assessment to aid in autonomy adjustment

Introduction: Human–robot teams are being called upon to accomplish increasingly complex tasks. During execution, the robot may operate at different levels of autonomy (LOAs), ranging from full robotic autonomy to full human control. For any number of reasons, such as changes in the robot’s surroundings due to the complexities of operating in dynamic and uncertain environments, degradation and damage to the robot platform, or changes in tasking, adjusting the LOA during operations may be necessary to achieve desired mission outcomes. Thus, a critical challenge is understanding when and how the autonomy should be adjusted. Methods: We frame this problem with respect to the robot’s capabilities and limitations, known as robot competency. With this framing, a robot could be granted a level of autonomy in line with its ability to operate with a high degree of competence. First, we propose a Model Quality Assessment metric, which indicates how (un)expected an autonomous robot’s observations are compared to its model predictions. Next, we present an Event-Triggered Generalized Outcome Assessment (ET-GOA) algorithm that uses changes in the Model Quality Assessment above a threshold to selectively execute and report a high-level assessment of the robot’s competency. We validated the Model Quality Assessment metric and the ET-GOA algorithm in both simulated and live robot navigation scenarios. Results: Our experiments found that the Model Quality Assessment was able to respond to unexpected observations. Additionally, our validation of the full ET-GOA algorithm explored how the computational cost and accuracy of the algorithm was impacted across several Model Quality triggering thresholds and with differing amounts of state perturbations. Discussion: Our experimental results combined with a human-in-the-loop demonstration show that Event-Triggered Generalized Outcome Assessment algorithm can facilitate informed autonomy-adjustment decisions based on a robot’s task competency.
A Green Raman Spectroscopic Assay Method for The Quantification of Tranexamic Acid in Pharmaceutical Formulations

Tranexamic acid (TXA) is a widely used antifibrinolytic agent that is used to prevent and treat excessive bleeding. Current analytical methods for TXA are often time-consuming and require the use of toxic solvents. Raman spectroscopy has the ability to measure TXA because it is a fast and non-destructive analytical method. This research established and validated a green Raman spectroscopic test for TXA measurement. There was no need for harmful solvents because the technique relied on a basic aqueous solution of TXA. Results demonstrated that the technique was linear across the 0.7% to 13.0% concentration range. The method was also shown to be accurate, with results comparable to the orthogonal techniques. The green Raman spectroscopic assay method was applied to the quantification of TXA in pharmaceutical formulations. The results obtained were comparable to those obtained using reference methods. To quantify TXA quickly and accurately, one can use the green Raman spectroscopic test. Since no harmful chemicals are needed for the procedure, it is also eco-friendly. Method has the potential to be used in a variety of settings, including pharmaceutical quality control and research laboratories.
Disseminated appendicular lymphoma presenting as acute appendicitis: a case report

Introduction and importance: Acute appendicitis is a common surgical emergency marked by appendix inflammation, presenting as acute abdominal pain and typically treated with appendectomy. The authors report a rare case of disseminated appendicular lymphoma presenting as acute appendicitis. Acute appendicitis is a common surgical emergency. Case presentation: This case involved a 75-year-old male patient who underwent appendectomy, revealing an enlarged appendix with lymphomatous nodules. Clinical discussion: Lymphoma involvement in the appendix is extremely rare, and lymphomas presenting as acute appendicitis are even more exceptional. Imaging investigations, including ultrasound and CECT scan of the abdomen, are recommended to aid in diagnosis. On computed tomography, appendiceal lymphoma is characterized by markedly diffuse mural soft-tissue thickening with preserved vermiform morphology and occasional aneurysmal dilatation of the lumen. Conclusion: This case underscores the importance of considering unusual etiologies in atypical appendicitis presentations.
The Depressive Tendency Questionnaire for Chinese Middle School Students: Development and Initial Validation

Purpose Depressive tendency refers to the early stage of the onset of depression disorder, which can also have a negative impact on individuals’ quality of life. However, there are many numerous depression-related scales that are primarily used to evaluate depression disorders with relatively severe symptom severity. And considering the characteristics of the Chinese cultural background, relatively few corresponding scales are currently developed. This study aimed to develop and validate a depressive tendency questionnaire for Chinese middle school students, based on the psychological structure of depressive tendency in the context of Chinese culture. Methods The initial version of the questionnaire was developed through literature reviews, open surveys, and in-depth interviews. The questionnaire was revised based on the predictions made from 865 middle school students (M=15.84, SD=1.50). Finally, the formal questionnaire was developed through valid administration to 1205 students (M=15.63, SD=1.82), using confirmatory factor analysis, reliability, and validity testing, as well as measurement invariance analysis. Results The questionnaire consisted of 30 items, including negative self, cognitive function, personal reserve, and social support. The results of confirmatory factor analysis showed that the questionnaire fitted the data with well construct validity. Measurement invariance indicates no gender and grade differences in the questionnaire scores. The questionnaire demonstrates good reliability and validity, meeting the requirements of psychometrics. Conclusion From a theoretical point of view, we clarified the psychological structure of depressive tendencies among Chinese middle school students, providing a theoretical and empirical basis for subsequent related research. From a practical point of view, the formal questionnaire plays a positive role in the smooth development of mental health counseling, education, and other work in middle schools.
LEGAL CONSEQUENCES OF SALE AND PURCHASE OBJECTS OF TESTAMENTARY GRANT

This writing was motivated by the Surabaya District Court Decision Number 1270/Pdt.G/2021/PN.Sby whose case was regarding the Deed of Sale and Purchase which the object of sale and purchase had been made as an object of a testamentary grant and had been included in the Testament Grant Deed Number 119. The implementation of the sale and purchase is carried out using a Power of Attorney to Sell where the Seller is an elderly woman who is 78 years old and suffers from memory impairment that also known as dementia, so the Seller does not remember that she had made a transaction buying and selling of land that has been given as a testamentary grant. The seller signs the Power of Attorney to Sell without the consent of hes heirs and the sale and purchase was carried out without the knowledge of the seller's family. This writing was written using normative research methods by collecting legal materials regarding testamentary grants and linking Decision Number 1270/Pdt.G/2021/PN.Sby with applicable laws and regulations, and with literature studies in the form of articles that relating to testamentary grants. The conclusion that can be drawn from this research is that the panel of judges has been unwise in carrying out legal considerations in Decision Number 1270/Pdt.G/2021/PN.Sby and the Notary who made the Power of Attorney to Sell must apply the precautionary principle so there will be no dispute over the object of sale and purchase in the future
Familial Transmission of Developmental Prosopagnosia: New Case Reports from an Extended Family and Identical Twins

Existing evidence suggests that developmental prosopagnosia (DP) is a surprisingly prevalent condition, with some individuals describing lifelong difficulties with facial identity recognition. Together with case reports of multiple family members with the condition, this evidence suggests that DP is inherited in at least some instances. Here, we offer some novel case series that further support the heritability of the condition. First, we describe five adult siblings who presented to our lab with symptoms of DP. Second, for the first known time in the literature, we describe a pair of adult identical twins who contacted us in the belief that they both experience DP. The condition was confirmed in three of the five siblings (with minor symptoms observed in the remaining two) and in both twins. Supplementary assessments suggested that all individuals also experienced some degree of difficulty with facial identity perception, but that object recognition was preserved. These findings bolster the evidence supporting the heritability of DP and suggest that it can be a specific impairment in some cases.
Scientific Landscape of Climate Change Impact on Child Health: A Bibliometric Analysis

Background: Understanding the relationship between climate change and child health is crucial for making informed decisions and implementing successful treatments. However, the extensive scientific literature on climate change and child health has not undergone a general dynamic quantitative examination. This bibliometric analysis was undertaken to study pertinent literature on climate change impact on child health over a 22-year period (2000–2022). Methods: change's A five-step PRISMA process was used to extract 1864 peer-reviewed journal articles from the Web of Science Core Collection database. The data was analysed using bibliometric software tools, including VOSviewer, CiteSpace, and Biblioshiny. Results: The annual publication patterns showed a steady increase in the number of articles published on climate change's impact on child health over the past 22 years. The most well-known climate change impact on child health monitoring articles was identified, as were the most active researchers and top-contributing nations in climate change impact on child health research. The most dependable information sources for academic researchers were further determined using the citation analysis of journals. Finally, science mapping analysis was used to visualize and study the conceptual and intellectual knowledge structures to chart the evolution of the research area related to climate change's impact on child health. Science mapping also identified emerging trends and intriguing research directions. Conclusions: This bibliometric analysis provides a comprehensive overview of the scientific landscape of climate change's impact on child health research. The findings highlight the growing interest in this field of research, as well as the key players and emerging trends. This study's results can inform future research priorities and develop effective interventions to protect children from the harmful effects of climate change.