Miracle-dz/UniFAR-FTUs huggingface dataset:
The effec ts of non-viscous, fermentable fi bers on appetite and food intake in healthy adults

The increase in the number of overweight and obese individuals is a public health concern due to correlations of obesity with increased incidence of chronic diseases such as type 2 diabetes and cardiovascular disease. Population data have shown correlations between increased fiber consumption and lower body weight and body mass index (BMI). However, the exact nature of this relationship is not known. There is considerable variation between different types of fiber and their potential impacts on the physiological regulatory systems of appetite and body weight. The goal of the research presented in this dissertation is to explore the effects of non-viscous, fermentable fiber on appetite and food intake in healthy adults. Collective results from the studies will be used to evaluate short-term appetite and food intake changes as a potential mechanism linking fiber consumption and lower body weight. We hypothesized that increased resistant starch (RS4)/resistant dextrin consumption will promote satiation and decrease ad libitum food intake at the next meal. We further hypothesized that increased RS4/resistant dextrin consumption will increase postprandial satiety as measured by subjective appetite ratings and that this effect will be modulated through changes in plasma biomarkers of appetite. As addition of fiber to a mixed meal can alter the glycemic response of that meal, we are also interested in effect of RS4/resistant dextrin on postprandial glucose and insulin responses. To test these hypotheses, a series of experiments were conducted. In the first study, all-purpose flour was replaced with Fibersym® resistant starch flour in a breakfast meal
sociology of artificial intelligence a relational sociological investigation in the field of health

The effects of artificial intelligence in all areas of life, especially in health, education, economy, family and law, are gradually increasing all over the world. It is now a common assumption that artificial intelligence as a social phenomenon cannot be analyzed without the contribution of the social sciences. The main problem of this research, despite the uncertainty of the effects of artificial intelligence, as a developing country, is widely used in Turkey. For this reason, the primary purpose of this paper is to reveal what artificial intelligence is and its effects on health. To achieve this goal, Harrison White’s book “Identity and Control” [1] was used. Thus, ambiguity in both social relations (ambage) and cultural values (ambiguity) has been tried to be revealed. Participant observations and interview data from daily life are discussed with concepts such as “turning point”, “liminality”and “ambivalence” in the literature. Thus, a relational sociological study was conducted. In addition, as far as possible, some new concepts have been produced to help us understand this new situation. For example, instead of “robot”, the concept of “humanmatic” has been introduced into the literature. In addition, “mistress”, “ dressing” as metaphors inspired by Goffman [2] also used to explain the location and position of artificial intelligence in Turkey by”reframing”.
Improving Depression Level Estimation by Concurrently Learning Emotion Intensity

Depression is considered a serious medical condition and a large number of people around the world are suffering from it. Within this context, a lot of studies have been proposed to estimate the degree of depression based on different features and modalities, specific to depression. Supported by medical studies that show how depression is a disorder of impaired emotion regulation, we propose a different approach, which relies on the rationale that the estimation of depression level can benefit from the concurrent learning of emotion intensity. To test this hypothesis, we design different attention-based multi-task architectures that concurrently regress/classify both depression level and emotion intensity using text data. Experiments based on two benchmark datasets, namely, the Distress Analysis Interview Corpus - a Wizard of Oz (DAIC-WOZ), and the CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) show that substantial performance improvements can be achieved when compared to emotion-unaware single-task and multitask approaches.
Review on the Epidemiology, Public Health and Economic Importance of Bovine Tuberculosis

Bovine tuberculosis has been widely distributed throughout the world and it has been a cause for great economic loss in animal production and productivity. In a large number of countries bovine tuberculosis is a major infectious disease among cattle, other domesticated animals, and certain wildlife reservoirs. Transmission to humans constitutes a public health problem, and conditions such as culture of consuming raw milk, keeping cattle in close proximity to the owner house and immune suppressive disease can exacerbate the disease. Bovine tuberculosis is characterized by formation of granulomas in tissue especially the lungs, lymph nodes, liver, intestines and kidneys. Infection in cattle is usually diagnosed in the live animal on the basis of delayed hypersensitivity reactions, necropsy, histopathological and bacteriological techniques. Rapid nucleic acid methodologies, such as the polymerase chain reaction, may also be used although these are demanding techniques and should only be used when appropriately validated. Due to the grave consequences of Mycobacterium bovis infection on animal and human health, it is necessary to introduce rigorous control measures to reduce the risk of the disease in human and animal populations. The introduction of proper food hygiene practices and stronger inter sectorial collaboration between the medical and veterinary professions is vital to the control of the disease. Since it is chronic bacterial disease which requires a rigorous and lengthy anti-bacterial treatment which is costly to treat, prevention of the disease is better than curing the diseased one. Keywords: Bovine Tuberculosis, Epidemiology, Public health important .
Chromatic Aberration Analysis and Correction of Fore-Optics of a Light Field Imaging Spectrometer

Light field imaging spectrometer is a snapshot spectrometer which can capture spatial and spectral information of objects in one snapshot. Chromatic aberration of the fore-optics will cause deviation of the imaging position of the filter-array. The effect of the chromatic aberration of the fore-optics of a light field imaging spectrometer is analyzed and a correction method is presented.
Differential Host Gene Signatures in Response to Mycobacterium tuberculosis Infection

Tuberculosis (TB) represents a global public health threat and is the leading cause of morbidity and mortality worldwide. Effective control of TB is complicated with the emergence of multidrug resistance. Yet, there is still a fundamental gap in understanding the complex and dynamic interactions between different Mycobacterium tuberculosis strains and the host. In this project, we investigated the host immune response to different M. tuberculosis strains, including avirulent or virulent and rifampin-resistant or isoniazid-resistant strains in THP-1 cells. We identified major differences in the gene response profiles in response to infection with these strains. The expression of IDO1 and IL-1β in the infected cells was stronger in all virulent M. tuberculosis strains. The most striking result was the overexpression of many interferon-stimulated genes (ISGs) in cells infected with the isoniazid-resistant strain, compared to the rifampin-drug resistant strain and the drug-sensitive strain. A transcription regulation analysis of the differentially expressed genes in infected THP-1 cells implicated two major transcription factors, NF-κB and STAT1. The differentially expressed ISGs in response to the isoniazid-resistant M. tuberculosis strain were associated with STAT1 signaling, while the expression of many cytokines, such IL-1β, was associated with NF-κB signaling. Our data suggest that the isoniazid-resistant M. tuberculosis strain preferentially activates STAT1 in response to cGAS-STING activation and induces a host immune response signature that is characteristic of isoniazid resistance. This study has a potential to provide important new insights into TB pathogenesis and to characterize host gene signatures specifically involved in isoniazid-resistant TB.
Rebuilding Trust between Police & Communities through Procedural Justice & Reconciliation

In many societies around the world, segments of the public strongly distrust legal and political authorities. Regardless of how the distrust arises, it lessens the possibilities for future social cohesion, democratic governance, and successful economic development—factors that define strong communities. How can authorities build trust amid a legacy of distrust? In this review, the authors focus on relations between the police and communities and draw on two psychological literatures that articulate evidence-informed trust-building strategies. One, the procedural justice approach, concentrates on the fair and respectful exercise of authority during everyday interactions between individuals. The other, reconciliation, involves gestures that are carried out at the community level with the expressed intention of addressing past injustice and that promise changes in an authority's future relations with a community. This review concludes with policy recommendations, drawn from both literatures, describing a process of trust building that involves substantive improvements in procedural justice combined with reconciliatory gestures that signal a sincere intent to increase trust through service to communities.
‘They know better than we doctors do’: providers’ preparedness for transgender healthcare in Vietnam

ABSTRACT While recognition of transgender people has increased in Vietnam, this population continues to face significant stigma and discrimination within their families and in public, including in medical settings. Understanding of transgender health is limited, especially regarding the provision of care to transgender people. This paper explores providers’ preparedness for delivering transgender care using data from qualitative interviews with twelve healthcare professionals in Hanoi and Ho Chi Minh City. Drawing on the socio-ecological model, we illustrated multi-level factors that influenced the provision of medical services to transgender people, including restrictive legislation (policy level); shortage of transgender-specific services, and lack of training and guidelines (organisational level); and ambiguous perceptions, inappropriate provider-patient communication, and medical knowledge gaps (individual level). Overall, our study has identified a healthcare environment that is under-prepared to meet the complex health needs of transgender individuals. With this study, we call for intervention strategies beyond individual-level support and emphasise the urgency of allowing medical institutions to provide transgender-specific health services including gender-affirming surgery and hormonal treatments.
Phase-Shift Triple Full-Bridge ZVZCS Converter with All Soft Switched Devices

This paper proposes a Phase-Shift Triple Full-Bridge (PSTB) Zero-Voltage Zero-Current-Switching (ZVZCS) converter with a high switching frequency and high efficiency. In the proposed converter, all three bridge legs are shared leading-legs, and all three transformers work in the Discontinuous Conduction Mode (DCM). Thus, all of the switches and diodes in the PSTB ZVZCS can be soft switched. Moreover, since all of the transformers can pass energy from the primary-side to the secondaryside when their primary-side currents are not zero, there is no circulating current. As a result, the PSTB ZVZCS converter can achieve a high efficiency at high operating frequencies. A theoretical analysis and the characteristics of the proposed converter are presented and verified on a 1MHz 200~300V/24V 1.2kW hardware prototype. The proposed converter can reach a peak efficiency of 96.6%.
Introduction of Evidence-Based Practice to Acute Stroke Center Nursing in Jakarta, Indonesia

Introduction of Evidence-Based Practice to Acute Stroke Center Nursing in Jakarta, Indonesia by Tonya S. Stagner MSN, University of North Carolina, Chapel Hill, 2008 BSN, University of Nevada, Las Vegas, 1996 Project Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Nursing Practice Walden University May 2017
The complete mitochondrial genome of the Megopis sinica white (Coleoptera: Cerambycidae: Prioninae)

Abstract The complete mitochondrial genome of the Megopis sinica White was sequenced. The 15,689 bp long genome has the standard metazoan complement of 38 genes. These genes contained 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes and 1 control reigion. The nucleotide composition of the M. sinica White mitogenome was A: 37.8%, C: 18.6%, G: 11.7%, T: 32.0%. The A + T was 69.8%.
The Challenge of Digitalization in the Steel Sector

Digitalization represents a paramount process started some decades ago, but which received a strong acceleration by Industry 4.0 and now directly impacts all the process and manufacturing sectors. It is expected to allow the European industry to increase its production efficiency and its sustainability. In particular, in the energy-intensive industries, such as the steel industry, digitalization concerns the application of the related technologies to the production processes, focusing on two main often overlapping directions: Advanced tools for the optimization of the production chain and specific technologies for low-carbon and sustainable production. Furthermore, the rapid evolution of the technologies in the steel sector require the continuous update of the skills of the industrial workforce. The present review paper, resulting from a recent study developed inside a Blueprint European project, introduces the context of digitalization and some important definitions in both the European industry and the European iron and steel sector. The current technological transformation is depicted, and the main developments funded by European Research Programs are analyzed. Moreover, the impact of digitalization on the steel industry workforce are considered together with the foreseen economic developments.
3-Dimensional Volumetric Analysis of Double Socket-shield for Maximum Tissue Preservation at Immediate Implant Replacement of Multi-Rooted Teeth, A Case Report

Extraction Socket Healing undergoes a remodeling process that leads to vertical and horizontal tissue loss. Ridge volume alteration embeds a huge challenge on restoratively oriented three-dimensional placement of dental Implants. Socket shield technique demonstrated a histologic and clinical evidence on preventing soft and hard tissue alteration following tooth extraction. This case report describes an immediate implant placement with modification on socket-shied technique, where a buccal and palatal tooth fragments where prepared on buccal and palatal roots respectively of a failing upper first premolar, with two divergent roots. 3D deviation analysis of alveolar bone showed minimal loss of volume (-0.052mm, Avg+/-: 0.128/-0.232, SD 0.48), as well as, 3D deviation analysis of the ridge showed minimal loss of volume (-0.122mm, Avg+/-: 0.029/-0.202, SD 0.263). This Double Socket-shield procedure showed to be a feasible treatment option for maximum tissue preservation at immediate implant replacement of multi-rooted teeth.
Comparative migration studies of Burmese, Cambodian and Laotian migrants in Thailand: Multivariate approach

The paper outlines main economics factors determining migrant workers to Thailand, and the comparative studies between migrants, that are Myanmar, Cambodia and Laos. This research is quantitative in nature using logistic regression analysis. The results indicate demand on migration of Burmese migrants’ relevance to four factors, two related to personal factors (employment and past income) and two related to country of origin (poverty and opportunity of career at home). While it reaches to five factors which correlate to the demand on migration of Cambodian migrants separating in three components, that are, personal factor (educational level), country of origin factors (difficulties of finding work and welfare at home country), and destination factors (non-farm employment and opportunity to get work). Finally, only the personal factor plays an important role on the demand on migration of Laotian people. These are the status of marriage, employment, attitude, having own house and number of family member in destination. Key words: International migration, Burmese, Cambodian, and Laotian migrants, migration motives.
Direct antiviral activity of interferon stimulated genes is responsible for resistance to paramyxoviruses in ISG15-deficient cells

Interferons (IFNs), produced during viral infections, induce the expression of hundreds of IFN- stimulated genes (ISGs). Some ISGs have specific antiviral activity while others regulate the cellular response. Besides functioning as an antiviral effector, IFN-stimulated gene 15 (ISG15) is a negative regulator of IFN signalling and inherited ISG15-deficiency leads to autoinflammatory interferonopathies where individuals exhibit elevated ISG expression in the absence of pathogenic infection. We have recapitulated these effects in cultured human A549-ISG15-/- cells and (using A549-UBA7-/- cells) confirmed that posttranslational modification by ISG15 (ISGylation) is not required for regulation of the type-I IFN response. ISG15-deficient cells pre-treated with IFN-α were resistant to paramyxovirus infection. We also showed that IFN-α treatment of ISG15-deficient cells led to significant inhibition of global protein synthesis leading us to ask whether resistance was due to the direct antiviral activity of ISGs or whether cells were non-permissive due to translation defects. We took advantage of the knowledge that IFN-induced protein with tetratricopeptide repeats 1 (IFIT1) is the principal antiviral ISG for parainfluenza virus 5 (PIV5). Knockdown of IFIT1 restored PIV5 infection in IFN-α-pre-treated ISG15-deficient cells, confirming that resistance was due to the direct antiviral activity of the IFN response. However, resistance could be induced if cells were pre-treated with IFN-α for longer times, presumably due to inhibition of protein synthesis. These data show that the cause of virus resistance is two-fold; ISG15-deficiency leads to the ‘early’ over-expression of specific antiviral ISGs, but the later response is dominated by an unanticipated, ISG15- dependent, loss of translational control. Key points Cell culture model of ISG15-deficiency replicate findings in ISG15-/- patient cells Cause of resistance in ISG15-/- cells differs depending on duration of IFN treatment ISG15-/- patients without serious viral disease don’t prove ISGylation is unimportant
Serological Polymorphisms of ABO and Rh(D) Blood Groups among Saraswat Brahmin Inhabiting Four States of North India

Abstract The Saraswat Brahmin is a well spread community in India, with an interesting history of migration. This community belongs to the Indo-European linguistic family (Aryan sub-family). We have undertaken a comparative study of the blood groups among the Saraswat Brahmin subpopulations residing in four North Indian states of Jammu and Kashmir (J & K), Punjab, Himachal Pradesh (HP) and Rajasthan. The overall allele frequencies were found to be ABO*O= 0.5134, ABO*B= 0.3018 and ABO*A= 0.1847. The Rh*D allele frequency is 0.8419, which show a little high frequency as compared to Indian population groups (0.0803).
Bayesian optimization in a support vector regression model for short-term electricity load forecasting

Purpose: Support vector regression (SVR) has long been known as a great tool in forecasting. SVR combined with evolutionary algorithms have been used in many remarkable applications. Bayesian optimization (BO) has the ability to find good points in a search space without many function evaluations. This paper presents short-term load forecasting (STLF) in Thailand using SVR with Bayesian optimization (BO). The purpose of this paper is to improve forecasting accuracy by optimizing the hyperparameters of SVR. Design/methodology/approach: The Electricity Generating Authority of Thailand (EGAT) provides 30 minute load data for Bangkok and the metropolitan region. The data from August 2015 to July 2017 is used for training and testing. Mean absolute percentage error (MAPE) and tracking signal (TS) are used to measure the performance of the proposed model. The hyperparameters of SVR are optimized using three algorithms, the genetic algorithm (GA), particle swarm optimization (PSO), and Bayesian optimization (BO). Findings: By comparing the MAPE results, the SVR-BO outperforms the other two algorithms.
Chronic Diseases Caring With The Use Of Mobile Heath Technology

Challenges facing people with chronic conditions often are covered below the surface and go unaddressed for longtime, until acute or serious complications arise to the person, even when recognized are poorly cared because of ineffective caring management system used. Chronic diseases care management is complex procedure, often requires long-term care plan, well-coordinated system and team work with well-informed professionals able to assess, evaluate, anticipate and react well to emerging health deviations according to the nature of situations. The aim of this project is to shed more light on how mHealth technology can be used in chronic diseases care management to facilitate caring activities. Theoretical framework used in this research is based on chronic care model by Edward Wagner and his colleagues. The research is a qualitative literature review in an inductive content. Results of the study indicate that mHealth services has great potential in chronic diseases caring whenever used well. However, the finding of this research also indicates that matter involving patient’s safety and patient’s rights to privacy, data confidentiality
Morphological assessment of HEMA-MMA microcapsules for liver cell transplantation

Hepatoma cells were microencapsulated within a hydroxyethyl methacrylatemethyl methacrylate (HEMA-MMA, 75% HEMA) copolymer membrane. The in vitro morphology and viability of microencapsulated hepatoma cells were indicators of the cellular effects of the intracapsular microenvironment. The applicability of HEMA-MMA microcapsules as a cell delivery device was assessed by examining the morphology and viability of model hepatoma cells within microcapsules that were implanted into rats and the tissue response to these microcaspules. Human hepatoma cells (HepG2) within the non-adherent environment of the HEMA-MMA microcapsule, formed aggregates with necrosis occuning at day 7 in large aggregates. Their co-encapsulation within Mitrigel@, an extracellular matrix for cellular attachment, resulted in an initially uniform distribution of individual cells, and cellular viability and limited necrosis at day 14; a favourable cell microenvironment. Small diameter microcapsules (450 p), containing an aggregate of rat hepatoma, H4IIEC3, ceUs after their implantation into an omental pouch in nonimmunosuppressed Wistar rats (a model of dogeneic transplantation), contained viable cells after 7 days but not 14 days. However, simiiar transplantation of microencapsulated aggregates of human hepatoma, HepG2, cells (a model of xenogeneic transplantation), did not result in viable cells at 7 days. Prompt vascularization of the tissue sumounding microcapsules occurred after 4 days in vivo and was maintained for up to 14 days. Differences in the tissue reaction between hepatoma species were noted with thicknesses shifting toward higher values and containing sigruficantly more eosinophils associated with microcapsules containing human hepatoma cells than with rat hepatoma cells. The results of these microcapsule implantation studies suggested a relationship between the viability of microencapsulated cells and the degree of v a s c d h t i o n of the surrounding tissue