Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety and Health at Work

Background: Satisfactory completion of mine safety training is a prerequisite for being hired and for continued employment in the coal industry. Although training includes content to develop skills in a variety of mineworker competencies, research and recommendations continue to specify that specific limitations in the self-escape portion of training still exist and that mineworkers need to be better prepared to respond to emergencies that could occur in their mine. Ecological models are often used to inform the development of health promotion programs but have not been widely applied to occupational health and safety training programs. Methods: Nine mine safety trainers participated in in-depth semi-structured interviews. A theoretical analysis of the interviews was completed via an ecological lens. Each level of the social ecological model was used to examine factors that could be addressed both during and after mine safety training. Results: The analysis suggests that problems surrounding communication and collaboration, leadership development, and responsibility and accountability at different levels within the mining industry contribute to deficiencies in mineworkers’ mastery and maintenance of skills. Conclusion: This study offers a new technique to identify limitations in safety training systems and processes. The analysis suggests that training should be developed and disseminated with consideration of various levelsdindividual, interpersonal, organizational, and communitydto promote skills. If factors identified within and between levels are addressed, it may be easier to sustain mineworker competencies that are established during safety training. 2014, Occupational Safety and Health Research Institute. Published by Elsevier. All rights reserved.
Solvent Optimization for Extraction of Mesua ferrea l. Leaves as An Antioxidant Using Simplex Lattice Design Method

Mesua ferrea L. leaves methanol extract has the highest antioxidant activity than the other part of the plant. However methanol is toxic solvent, so the using of methanol for extraction may harmful for health and environment. The purpose of this study was to optimize the solvent combination of ethanol and water for extraction of Mesua ferrea L. leaves by using Simplex Lattice Design (SLD) method. The samples were extracted by Ultrasonic Assisted Extraction (UAE) using variation of solvents ethanol 96%, ethanol 50% and water. The solvent combination was optimized by using SLD method based on the Total Phenolic Content of all crude extract. The result showed that the TPC of ethanol 96%, ethanol 50% and water crude extracts were 574.7±66.97 mgGAE/g, 657.8±37.02 mgGAE/g and 524.23±14.48 mgGAE/g respectively. SLD was calculated and the optimal solvent obtained was ethanol 55% with TPC of 626.235± 23 mgGAE/g. The ethanol 55% extract of Mesua ferrea L. leaves has strong antioxidant activity (IC50 57.77) ppm using DPPH method.
Electric Parameter Measurement on Main Generator Based on IoT for Safe Operational Feasibility

The generator is the main source of electricity in the ship that will drive all activities on the ship. With the source of electricity supplied by the generator, human work will become lighter because it is helped by electrical energy. In order for the generator to work properly, it requires maintenance and must always be well controlled, so that the parameters generated by the generator must always be maintained by monitoring these parameters automatically using an ESP32 microcontroller. The parameters measured are current, voltage, power, frequency, work factor, KWh, RPM, temperature and vibration. By measuring the magnitude of these parameters can later be utilised as variables for maintenance and repair of the generator. The sensor used to measure the electrical parameters is the PZEM 004t module because it can measure all electrical quantities of the generator, while the temperature uses a DS18B20 sensor and vibration uses a SW-420 sensor module. Then to measure RPM using a potentiometer. The measurement results are displayed on the smartphone screen on the platform using Internet of Things (IoT) technology sent from the engine room.
An Aborted Fetus in the Second Trimester of Pregnancy due Osteogenesis Imperfecta (Diagnosed After Miscarriage): A Case Report

Background: Osteogenesis imperfecta (OI) is a group of disorders characterized by osteopenia, fractures, short stat - ures, bone deformity, blue sclera and hyper laxity of liga - ments and skin, with a prevalence 6-7 per 100 000 individuals. There are four main kinds of OI with type II being the most severe; it is inherited in an autosomal recessive pattern with prenatally lethally deforming OI
Complex Evaluation of Nanocomposite-Based Hydroxyapatite for Biomedical Applications

A magnesium-doped hydroxyapatite in chitosan matrix (MgHApC) sample was developed as a potential platform for numerous applications in the pharmaceutical, medical, and food industries. Magnesium-doped hydroxyapatite suspensions in the chitosan matrix were obtained by the coprecipitation technique. The surface shape and morphological features were determined by scanning electron microscopy (SEM). The hydrodynamic diameter of the suspended particles was determined by Dynamic light scattering (DLS) measurements. The stability of MgHApC suspensions was evaluated by ultrasonic measurements. The hydrodynamic diameter of the MgHApC particles in suspension was 29.5 nm. The diameter of MgHApC particles calculated from SEM was 12.5 ± 2 nm. Following the SEM observations, it was seen that the MgHApC particles have a spherical shape. The Fourier-transform infrared spectroscopy (FTIR) studies conducted on MgHApC proved the presence of chitosan and hydroxyapatite in the studied specimens. In vitro antimicrobial assays were performed on Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 25923, Pseudomonas aeruginosa ATCC 27853, and Candida albicans ATCC 10231 microbial strains. The antimicrobial experiments showed that MgHApC exhibited very good antimicrobial properties against all the tested microorganisms. More than that, the results of the in vitro studies revealed that the antimicrobial properties of the samples depend on the incubation time. The evaluation of the sample’s cytotoxicity was performed using the human colon cancer (HCT-8) cell line. Our results suggested the great potential of MgHApC to be used in future applications in the field of biomedical applications (e.g., dentistry, orthopedics, etc.).
REVIEW ARTICLE: SKIN CARE WITH EXFOLIATION PROCESS

: Exfoliation is a process of removing dead skin cells from surface & makes skin look more soft, smooth & supple. It helps to improve the skin texture & enhances absorption and retention of moisturizing agents and restores the skin’s own natural moisture factor. Exfoliative skin peeling is also the procedure which is preferred by dermatologist for the aged skin, photoaging, acne scars, and melasma. There are two types of exfoliation; mechanical & chemical. Mechanical exfoliation is a physical exfoliation process that can be achieved by using scrubs with small exfoliating grainy particles & chemical exfoliation achieved by AHAs & BHAs. Due to chronic exposure to ultraviolet (UV) light, it leads to photo damage of the skin, this causes extrinsic aging, or alteration of the skin due to environmental exposure. To reduce such effect of photo damaged skin, one can include alpha-hydroxy acids, antioxidants, moisturizers and exfoliant. Exfoliation is a cleansing formula and treatment that detoxifies the skin and stimulates its metabolism. Cosmetic preparation includes different raw material in formula of exfoliators in which natural and synthetic raw material gives instant result. In recent year the chemical exfoliators are gaining more popularity due to more effective results than physical scrubs.
Offenders in emerging adulthood School maladjustment, childhood adversities, and prediction of aggressive antisocial behaviors

Early psychosocial adversities and maladjustment, such as childhood maltreatment and school adjustment problems, have been linked to an increased risk of aggressive antisocial behaviors. Yet, clinical studies of subjects at the highest risk of persistence in such behaviors are rare, especially during the life-changing transition years of emerging adulthood. This study describes early predictors of aggressive antisocial behaviors in a large, nationally representative cohort of Swedish, male violent offenders in emerging adulthood (18-25 years of age, N = 270). First, data on psychosocial background characteristics and aggressive antisocial behaviors (including age at onset) are provided. Second, early predictors of aggressive antisocial behaviors are tested in bivariate and multivariate, interactive models. The offenders demonstrated a diversity of early onset adversities and disruptive behaviors, in line with established risk factors for subsequent criminality and adverse outcomes in a variety of life domains. Severe school adjustment problems, especially bullying others and early onset truancy, were important and interrelated predictors of aggressive antisocial behaviors over the lifetime, while childhood adversities such as parental substance or alcohol abuse and repeated exposure to violence at home during childhood were interrelated predictors of aggressive antisocial behaviors, albeit with less statistical importance. The findings stress the importance of early identification of individuals in the risk zone of developing severe and persistent aggressive antisocial behaviors, and of early preventive interventions directed towards families with high-risk profiles. The findings also provide initial guidelines on which psychosocial background risk factors that need to be considered first-hand in early interventions.
On relations between microscopic and macroscopic physicochemical properties of bacterial cell surfaces: An AFM study on Streptococcus mitis strains

Bacterial adhesion to substratum surfaces is determined by the combined action of a large number of different interactions, which have hitherto been inferred from macroscopic cell surface properties, such as electrostatic double-layer forces, hydrophobic interactions, hydrogen bonding, and steric interactions. The origin of these interactions arises from a molecular level, but nevertheless they have always been estimated from a macroscopic point of view. The macroscopic bacterial cell surface hydrophobicity, for instance, is commonly inferred from water contact angles on bacterial lawns, and cell surface charge is macroscopically determined by electrophoresis or titration methods. Although these macroscopic properties of bacteria have been demonstrated to correlate with bacterial adhesion of certain strains and species to substratum surfaces, a generalized physicochemical understanding of bacterial adhesion to surfaces does not yet exist. The introduction of the atomic force microscope (AFM) and its application to biological surfaces has offered new possibilities to obtain microscopic, physicochemical properties of bacterial cell surfaces. In this paper, a detailed analysis of the interaction forces between a silicon nitride AFM tip and the surface of nine different oral bacterial strains, Streptococcus mitis, was carried out. Interestingly, microscopic features of force-distance curves could be amalgamated in such a way that relations between microscopic cell surface properties and macroscopic cell surface properties were obtained, even though these relations were not fully understood.
the computing continuum already here

—The computing continuum, a novel paradigm that extends beyond the current silos of cloud and edge computing, can enable the seamless and dynamic deployment of applications across diverse infrastructures. By utilizing the cloud-native features and scalability of Kubernetes, this concept promotes deployment transparency, communication transparency, and resource availability transparency. Key features of this paradigm include intent-driven policies, a decentralized architecture, multi-ownership, and a fluid topology. Integral to the computing continuum are the building blocks of dynamic discovery and peering, hierarchical resource continuum, resource and service reflection, network continuum, and storage and data continuum. The implementation of these principles allows organizations to foster an efficient, dynamic, and seamless computing environment, thereby facilitating the deployment of complex distributed applications across varying infrastructures.
Autoimmunity and immune tolerance: A review

The normal immune system has the capacity to react with different microbes. The immune system has the responsibility for identifying and executing proper responses to eliminate non-self-antigens and prevent the harmful response to self-antigens, which is known as immune tolerance. Immune tolerance refers to the unresponsiveness of the immune system toward certain substances or tissues that are normally capable of stimulating an immune response. It is important for normal immune balance, and failure or breakdown of that tolerance results in autoimmunity. Immune tolerance can be categorized into two, central and peripheral tolerance depending on the site it is initially enhanced. Peripheral tolerance can be carried out by different mechanisms such as induction of anergy, deletion, ignorance and regulatory T cells and others. Autoimmune disease is a condition that is triggered by the immune system inducing an attack on self-molecules due to the deterioration of immunologic tolerance to auto-reactive immune cells and it is traditionally divided as organ-specific or systemic. These autoimmune diseases are correlated with factors including genetic factors, sexual hormones, environmental factors, chemical agents and other factors to the animal. The autoimmune diseases can be prevented by the action of regulatory T cells and also treated by B cell-targeted therapy and Rituxan anti-CD20-mediated B cell depletion.
Faith and Trust: Religion’s Impact on Political Trust

This study investigates the relationship between religiosity and an individual’s trust in political institutions. It tests Alexis de Tocqueville’s long-standing idea that religion plays a substantial role in political trust as an integral role of civil society. This study uses survey data with over 13,000 responses in eight countries to test whether religious involvement and specific religious denominations affect individuals’ political trust in their governmental institutions. Comparing responses about religious involvement and identities regarding levels of political trust tests whether there are statistically significant odds of increasing political trust. The wide range of countries, religious populations, cultures, and histories tested allows this study to investigate beyond the primarily protestant Christian democracy of the United States examined in most current litera - ture to see if religiosity plays a role in fostering political trust.
Infectious Diseases and Epidemiology

Anthrax is a highly pathogenic zoonotic disease that is attributed to the aerobic, rod-like Gram-positive bacteria known as Bacillus anthracis. This disease primarily affects domestic and wild herbivores through the consumption of vegetation, water or soil and inhalation of air or dust contaminated with highly resistant B. anthracis spores. Humans become infected through inhalation, ingestion of animal and animal products, injection of hard drugs and cutaneous routes through contact with infected animals or carcasses. The outbreak of anthrax frequently occurs in regions with high levels of agricultural practices, including Africa and Asia. Although endemic in West Africa, Nigeria recorded her first anthrax case in July 2023, which led to the mortality of eight farm animals. Several factors may have contributed to this outbreak including changes in soil pH, moisture levels, porosity and texture and the recent outbreak in Ghana, a neighboring country. Strategies to control human anthrax infections are mostly tied to those that limit the occurrence of anthrax in animals and reduce human exposure to diseased/deceased animals or their byproducts. The most effective ways to prevent and treat animal anthrax are annual vaccination (preventive and ring), quarantine and use of antibiotics. Furthermore, it is important that public health and animal health institutions collaborate promptly on the detection of anthrax within a given area. This collaboration aims to enhance awareness among medical professionals, animal health practitioners, and those residing in the affected region.
Development of an Instrument to Assess Teacher Perceptions of Social Emotional Learning (SEL) in PK–12 Schools

Research from numerous studies worldwide consistently shows that integrating social emotional learning (SEL) development into the structures and practices of schools is a path to creating safe, supportive, and inclusive environments. Researchers developed and validated an instrument to examine teachers’ perceptions of SEL needs in their schools; their knowledge, skills, training, and experiences with SEL in their classrooms; and barriers to implementing practices or receiving professional development. A pilot study was conducted to assess the feasibility of the survey questionnaire, participant recruitment, and data collection and analysis processes. This paper describes the pilot testing process to ensure methodological rigor and content and face validity of the instrument before commencing the main research project surveying PK–12 teachers in Florida. This tool can be used in multiple sites and contexts to assess readiness and barriers to SEL program implementation, providing formative feedback for school leaders, curriculum developers, and teacher educators.
P-wave residuals at Fiji from deep earthquakes in the Tonga subduction zone

A total of 47 deep earthquakes occurring between 1982 and 1985 in the Tonga subduction zone were used to derive station corrections for the Fiji Seismograph Network (FSN ). The Joint Hypocenter Determination (JHD) method was employed to relocate hypocenters using P -wave arrival times at selected teleseismic and FSN stations. P -wave residuals for Fiji show variations of more than 1 sec between southern Viti Levu on the one hand and northern Viti Levu and Vanua Levu on the other hand. The smallest residuals are observed in southern Viti Levu where the oldest volcanic rocks in Fiji are mapped and on the island of Koro. Station residuals in northern Viti Levu, Vanua Levu, and the smaller Fijian islands except for Koro are on average 0.4 to 0.7 sec higher than in southern Viti Levu. The effect of hypocentral mislocation on the observed residual variations is negligible at stations in Viti Levu, Ovalau, and Beqa, but it may be important for stations in Vanua Levu, Koro, Taveuni, and Yasawa. Large P -wave delays observed at some stations are probably caused by low velocity sedimentary surface layers. The variations in crustal thickness that are probably not larger than 5 km would explain only a minor part of the residual differences. Without a better knowledge of crustal structure the contribution of lateral variations in upper mantle P velocities is difficult to assess.
Assessing swaption portfolios for prepayment risk mitigation: a parametric perspective.

We analyze the price behavior of Bermudan swaption portfolios used for hedging prepayment-driven interest rate risks in loan portfolios. We evaluate a variety of swaption portfolios across maturities and prepayment rates under various market conditions. Our findings reveal the existence of a parametric relation between swaption portfolio prices and the characteristics of the hedged loan. This relationship holds across different market conditions and valuation models, suggesting that one can swiftly adjust a swaption-based hedging strategy as loan portfolio characteristics evolve. This parametric approach allows financial institutions to reduce costs when assessing prepayment risks in their loan portfolios.
Zero-Shot Stratification Of Mind-Intelligence Set

The sacred text of Bhagavad-Gita defines four different operating planes, namely Senses (Body), Mind, Intelligence, and Soul (Consciousness). All human beings delve into one of the operating planes while thinking or performing any action. Bhagavad-Gita also gives a hierarchy of these four things in human existence. Accordingly, the Mind is superior to the Senses, the Intelligence is above the Mind, and the Soul is higher than the Intelligence. The Intelligence can thus control the Mind. The activities performed at the Mind and Intelligence planes normally appear to be amalgamated and inseparable due to the poor cognition of “Mind” and “Intelligence” in the vocabulary of day-to-day talking. No language dictionary delineates Mind and Intelligence without overlapping perceptions. This paper explored the use of the Bhagavad-Gita knowledge framework to automatically separate the text samples representing the actions of Mind and Intelligence. A test was performed with 120 hand-tagged samples comprising 30 samples for each Senses, Mind, Intelligence, and Soul plane. The results gave a classification accuracy score of 75.0% for stratification of the Mind-Intelligence set, considering only the top similarity labels. The accuracy goes up to 83.3% for the top two similarity labels. The testing was done with the help of Google’s pre-trained language model, which used Bidirectional Encoder Representations from Transformers (BERT) for pre-training. This research on automatic stratification of the Mind-Intelligence set actions is highly important as knowing Mind actions as different from those of Intelligence is a pre-requisite
Leptin and its role in neuroendocrinology of obesity

Leptin, a multifunctional hormone, exerts its effects through hypothalamic signaling, regulating satiety, energy expenditure, and body weight. In recent years, an increase in obesity-related mortality has been reported in the Mexican population, positioning this disease as one of the leading causes due to the development of comorbidities associated with its pathology. Extensive research has focused on the involvement of leptin as a pleiotropic hormone with crucial properties in the development of overweight and obesity. Alterations in its receptor have been observed to predispose individuals to leptin resistance, leading to a poor response to satiety stimulation and an increase in food intake. Other studies suggest that diets high in calories result in hyperactivation of the brain cortex associated with the sense of taste, generating a reward stimulus that induces greater food consumption and gradually increases adipose tissue in the body. Investigations using exogenous leptin administration in mice have shown a transient decrease in body weight accompanied by reduced food intake. Therefore, a comprehensive description and analysis of leptin’s involvement in the neuroendocrine signaling of obesity are necessary to enhance our understanding of this complex disease. This manuscript provides an educational overview of this topic.