Miracle-dz/UniFAR-FTUs huggingface dataset:
Experience with Burn Prevention Program in North Eastern India

Burn injuries are one of the most devastating of all injuries and a major global public health concern. Though burn injuries cause lots of morbidity and mortality in India, community-based interventions in the forms of multi-strategic and multi-focused preventive programs are however lacking. This study, undertaken in the North Eastern Indian state of Assam, aims at reducing the incidence of burn accidents, morbidity and mortality of burn injuries through focused attention towards sensitizing the community with well-structured preventive program. Participatory community seminars, use of print, electronic and social media and lectures and demonstrations in schools were the tools used in the preventive programs. Analysis of inpatient and outpatient records of burn injured patients treated in the burn unit and scoring system in school education program and social media participants helped in assessment of the impact of Burn Preventive Programs (BPP). For convenience of assessment, comparative analysis of the results in early (Block I) and later part (Block II) of the study period was made. Results showed significant reduction of percentage of patients reporting from the areas where BPP was implemented. There was also reduction in %TBSA burn in majority patients in Block II in comparison to Block I. Water was used to extinguish fire in 48.9% patients in Block I and 78.0% patients in Block II. Water was also used to cool burn wounds by 52.3% patients in Block I, and 83.4% patients in Block II. While 80.9% people made inappropriate topical application on the wounds in Block I, only 34.6% did so in Block II. Increased awareness amongst general people was reflected by increased percentage of patients reporting to burn unit within 7 hours of injury and significant reduction of firecracker burns from 21.9% (Block I) to 7.8% (Block II). Similarly, improved awareness amongst the students was evident from the improved scoring by majority students and reduction in burns amongst them in the later part of Block II. The results indicate that BPP has got positive impact in the society.
Relationship between self-rated health and depression risk among children: Promoting school–medical care cooperation for child suicide prevention

Background Japan is facing a markedly high incidence of adolescent suicide. This study examines the relationship between depression and self-rated health, which is a significant factor driving people toward suicide, highlighting the importance of children’s assessments of their health. Methods In this cross-sectional study, an original questionnaire combining text and illustrations was administered to 6,421 elementary, junior, and senior high school students. To assess children’s self-rated health, we classified the survey questions into two domains: physical and mental health. We further classified the questions based on symptom duration. Depression assessment was based on the Depression Self-Rating Scale for Children. To provide a basis for the effective use of the self-rated health assessment tool, we classified the respondents into three groups based on physical/mental conditions together with the duration of those conditions and made comparisons. The groups were Favorable Health, Temporarily Poor Health, and Persistently Poor Health, and the results were analyzed using an ANOVA. Results Self-rated health levels decreased, and depressive conditions worsened with age. Although most children led physically and mentally healthy school lives, the mean Depression Self-Rating Scale score was significantly higher for the Persistently Poor Health group than the other two, and the Temporarily Poor Health group scored significantly higher than the Favorable Health group for both physical and mental health (all p < 0.001). Conclusions As the Temporarily and Persistently Poor Health groups in the domains of physical and mental health are more likely to be depressed, timely cooperation between schools and medical institutions is imperative to prevent depression.
Facile Preparation of Fe3O4 Nanoparticles/Reduced Graphene Oxide Composite as an Efficient Anode Material for Lithium-Ion Batteries

Iron oxides are considered promising electrode materials owing to their capability of lithium storage, but their poor conductivity and large volume expansion lead to unsatisfactory cycling stability. In this paper, an inexpensive, highly effective, and facile approach to the synthesis of Fe3O4 nanoparticles/reduced graphene oxide composite (Fe3O4/RGO) is designed. The synthesized Fe3O4/RGO composite exhibits high reversible capability and excellent cyclic capacity as an anode material in lithium-ion batteries (LIBs). A reversible capability of 701.8 mAh/g after 50 cycles at a current density of 200 mA·g−1 can be maintained. The synergetic effect of unique structure and high conductivity RGO promises a well soakage of electrolyte, high structure stability, leading to an excellent electrochemical performance. It is believed that the study will provide a feasible strategy to produce transition metal oxide/carbon composite electrodes with excellent electrochemical performance for LIBs.
Academic Satisfaction of International Students at Irish Higher Education Institutions: The Role of Region of Origin and Cultural Distance in the Context of Marketization

Internationalization of higher education has increased the diversity of the student body at higher education institutions. There is evidence that the experiences of international students vary according to their region of origin, but trends on a larger scale remain underexamined. Drawing on Eurostudent VI data from the Republic of Ireland, this article investigates how academic satisfaction varies between students from different global regions of origin and from national settings with distinct cultural distance characteristics. Results suggest that international students have higher levels of academic satisfaction than Irish students, but that differences between students from diverse regions of origin persist. In addition, international students originating from a national context with high power distance, irrespective of levels of individualism, have higher levels of academic satisfaction compared with Irish students. Furthermore, self-perception of being a detached customer rather than an equal partner in education has the strongest association with academic satisfaction, suggesting that commercialization trends affect both international and domestic students.
Twelve Months of Time-restricted Eating and Resistance Training Improves Inflammatory Markers and Cardiometabolic Risk Factors

Supplemental digital content is available in the text. ABSTRACT Introduction Recently, a modified intermittent fasting protocol was demonstrated to be able to maintain muscle mass and strength, decrease fat mass, and improve some inflammation and cardiovascular risk factors in healthy resistance-trained males after 2 months. The present study sought to investigate the long-term effects on these parameters. Methods The experiment was a single-blind randomized study. Twenty healthy subjects were enrolled and underwent 12 months of either a time-restricted eating (TRE) diet or a normal diet (ND) protocol, along with resistance training. In the TRE protocol, subjects consumed their energy needs in three meals during an 8-h period of time each day (1 pm, 4 pm, and 8 pm). Subjects in the ND group also had three meals, which were consumed at 8 am, 1 pm, and 8 pm. Groups were matched for kilocalories consumed and macronutrient distribution at baseline. Results After 12 months of TRE, body mass, fat mass, insulin-like growth factor 1, and testosterone were significantly lower compared with ND. Moreover, inflammatory markers (interleukin 6, interleukin 1β, and tumor necrosis factor α), insulin sensitivity (fasting glucose, insulin, and homeostatic model assessment for insulin resistance index), and lipid profile (cholesterol, HDL, and LDL) significantly improved after TRE compared with ND. Finally, subjects in TRE spontaneously decreased their daily energy intake, whereas those in ND maintained their starting kilocalories per day. No adverse events were reported. Conclusions Our results suggest that long-term TRE combined with a resistance training program is feasible, safe, and effective in reducing inflammatory markers and risk factors related to cardiovascular and metabolic diseases.
The impact of education background on using cost management system information

Abstract Based on Upper Echelon Theory (UET), this study established and examined the impact of upper managers ‘s characteristic (CEO) on choosing a cost leader strategy (CL), using cost management system (CMS) information in the process CEO ‘s strategic decisions. As well as considering the moderator role of advanced manufacturing technology (AMT) in some relationships. This study used SmartPLS3 software to evaluate measurement model and structure model. The results indicated that: (1) the positive effects of all direct relationships are accepted and; (2) the moderator role of AMT in the relationships between education background—choice of CL; Education background—CMS are both positive and statistically significant. This results reinforced for the important role of using CMS information, CEO ‘s demographic characteristic (eduction background), AMT ‘s moderator role. Then, this result will help managers to design a CMS effectively suitable to CEO and strategy of firm, enhancing financial performance of manufacturer.
Comparison of Phase Characteristics and Residual Stresses in Ti-6Al-4V Alloy Manufactured by Laser Powder Bed Fusion (L-PBF) and Electron Beam Powder Bed Fusion (EB-PBF) Techniques

Ti-6Al-4V alloy fabricated by laser powder bed fusion (L-PBF) and electron beam powder bed fusion (EB-PBF) techniques have been studied for applications ranging from medicine to aviation. The fabrication technique is often selected based on the part size and fabrication speed, while less attention is paid to the differences in the physicochemical properties. Especially, the relationship between the evolution of α, α’, and β phases in as-grown parts and the fabrication techniques is unclear. This work systematically and quantitatively investigates how L-PBF and EB-PBF and their process parameters affect the phase evolution of Ti-6Al-4V and residual stresses in the final parts. This is the first report demonstrating the correlations among measured parameters, indicating the lattice strain reduces, and c/a increases, shifting from an α’ to α+β or α structure as the crystallite size of the α or α’ phase increases. The experimental results combined with heat-transfer simulation indicate the cooling rate near the β transus temperature dictates the resulting phase characteristics, whereas the residual stress depends on the cooling rate immediately below the solidification temperature. This study provides new insights into the previously unknown differences in the α, α’, and β phase evolution between L-PBF and EB-PBF and their process parameters.
Determining the content of nitrogen and some macroelements in the dry mass of perennial leguminous plants

The aim of this study was to determine the content of elements N, P, K, Ca, and Mg in the dry mass of perennial fodder legumes, mowed in the optimal growth phase. The experiment with perennial legumes of alfalfa (Medicago sativa), red clover (Trifolium pretense) and bird's-foot trefoil (Lotus corniculatus L.) was set up as a random block system in four replicates on valley-brown soil and was conducted for two years. The green mass of perennial legumes in the first and second mowing was harvested at the end of budding/ beginning of flowering phase. In the third and fourth regrowth, mowing of the biomass was done after 5 weeks. Immediately after each mowing, representative sample of green biomass was taken from each replicate of each legume tested. The content of nitrogen, phosphorus, potassium, calcium, and magnesium in the dry plant material was determined. The content of nitrogen and potassium in the fodder of alfalfa and red clover was higher in the first year of the study, which was not the case for bird's-foot trefoil. The dry matter of alfalfa on average had the highest content of nitrogen (39.8 g kg-1 DM) and calcium (19.6 g kg-1 DM), bird's-foot trefoil of phosphorus (10.6 g kg-1 DM) and potassium (26.1 g kg-1 DM), and red clover of magnesium (3.7 g kg-1 DM). In the dry mass of bird's-foot trefoil the average content of nitrogen was 39.0 g kg-1 DM, phosphorus 10.6 g kg-1 DM, potassium 26.1 g kg-1 DM, calcium 15.7 g kg-1 DM, and magnesium 3.5 g kg-1 DM.
Development of artificial intelligence for the detection and staging of esophageal cancer

: Computer-assisted diagnosis (CAD) using deep learning, based on convolutional neural networks (CNNs), is rapidly developing in modern society and clinical practice. In the medical field of endoscopy, a CAD system can be used in the detection and staging of superficial esophageal cancer. In the detection of superficial esophageal squamous cell carcinoma (ESCC), several studies were reported as using still images of conventional white-light endoscopy and narrow-band imaging (NBI). The sensitivity of CAD systems is over 90%, and in some reports, higher than that of expert endoscopists. In addition, there is a report using video for a validation set that showed good performance. In diagnosing invasion depth, there are reports using conventional white-light imaging, NBI, and magnifying endoscopy with NBI using still images; there are also reports of intrapapillary capillary loop pattern identification using still images. Using white-light endoscopy and NBI, CAD systems showed sensitivity of 84.1–95.4%, specificity of 73.3–79.2%, and accuracy of 80.9–92.9% for differentiating SM1 cancers from SM2 or SM3 cancers in pathology. Additional systems could accurately classify intrapapillary capillary loop patterns as normal or abnormal, with comparable performance to experienced endoscopists. As for esophageal adenocarcinoma (EAC) that arises in Barrett’s esophagus (BE), there are detection reports that show favorable performance. Furthermore, the CAD system from one report identified the location suitable for biopsy; this is helpful for endoscopists because of the difficulty in determining the location of early EAC in BE. Although these studies are still only at research level, excellent performance has been achieved for detecting and staging of superficial esophageal carcinoma by CAD systems. In the near future, CAD systems will support us in detecting and staging esophageal cancers in daily clinical practice, leading to a better prognosis. 9
Similarity Technique Effectiveness of Optimized Fuzzy C-means Clustering Based on Fuzzy Support Vector Machine for Noisy Data

Fuzzy VIKOR C-means (FVCM) is a kind of unsupervised fuzzy clustering algorithm that improves the accuracyand computational speed of Fuzzy C-means (FCM). So it reduces the sensitivity to noisy and outlier data, and enhances performance and quality of clusters. Since FVCM allocates some data to a specific cluster based on similarity technique, reducing the effect of noisy data increases the quality of the clusters. This paper presents a new approach to the accurate location of noisy data to the clusters overcoming the constraints of noisy points through fuzzy support vector machine (FSVM), called FVCM-FSVM, so that at each stage samples with a high degree of membership are selected for training in the classification of FSVM. Then, the labels of the remaining samples are predicted so the process continues until the convergence of the FVCM-FSVM. The results of the numerical experiments showed the proposed approach has better performance than FVCM. Of course, it greatly achieves high accuracy.
An Enhancement Method of Rapidly-exploring Random Tree Robot Path Planning using Midpoint Interpolation

To solve the problem that sampling-based Rapidly-exploring Random Tree (RRT) method is difficult to guarantee optimality. This paper proposed the Post Triangular Processing of Midpoint Interpolation method minimized the planning time and shorter path length of the sampling-based algorithm. The proposed Post Triangular Processing of Midpoint Interpolation method makes a closer to the optimal path and somewhat solves the sharp path problem through the interpolation process. The experiments were conducted to verify the performance of the proposed method. Applying the method proposed in this paper to the RRT algorithm increases the efficiency of optimization compared to the planning time.
Optimal control of a growth/consumption model

This article concerns an optimal control problem arising in neo‐classical macro‐economics, where the objective is to maximize expenditure on social programs over the time horizon by choosing the appropriate balance between investment for growth and consumption. The underlying model and utility function are due to Solow and have their origins in a planning problem studied by Ramsey. The problem is of control theoretic interest, because the right side of the controlled differential equation and also the utility integrand are not uniformly Lipschitz continuous with respect to the state variable, owing to the presence of a fractional singularity. We introduce and apply a nonstandard verification technique, the verification function for which has infinite slope at a point approaching the boundary of its domain, to deal with these singularities and to provide a detailed solution to the problem and analyze its structure, for arbitrary initial data.
Onset location of periventricular white matter hyperintensities co-localizes with peak ependymal cell stretch

Deep and periventricular white matter hyperintensities (dWMH/pvWMH) are bright appearing white matter tissue lesions in T2-weighted fluid attenuated inversion recovery magnetic resonance images and are frequent observations in the aging human brain. While early stages of these white matter lesions are only weakly associated with cognitive impairment, their progressive growth is a strong indicator for long-term functional decline. DWMHs are typically associated with diffuse vascular degeneration; for pvWMHs, however, no unifying theory exists to explain their characteristic onset locations and progression patterns. We use structural and functional patient imaging data to create anatomically accurate finite element models of the lateral ventricles, white and gray matter, and cerebrospinal fluid. We simulated the mechanical loading of the ependymal cells forming the primary brain-fluid interface, the ventricular wall, and its surrounding tissues at peak ventricular pressure during the hemodynamic cycle. We observe that both the maximum principal tissue strain and the largest ependymal cell stretch consistently localize in the anterior and posterior horns. Strikingly, these locations coincide with the pvWMHs observed in FLAIR images. We submit that the tight junctions between ependymal cells experience significant loads that cause the ventricular wall to be stretched thin and ultimately begin to leak. Besides age-related vascular degeneration, progressive wall failure causes neurotoxic fluid to diffuse into surrounding white matter structures and appear as growing pvWMHs. The physics-based approach presented here provides a novel model system to systematically study the progressive tissue deterioration associated with pvWMHs.
Features of the Use of Lean Logistics Tools in Agricultural Regions

The article is devoted to the development of proposals for improving the activities of agricultural enterprises, based on the philosophy of lean logistics, to increase productivity. The use of a logistic approach in agriculture can contribute to a significant reduction in the cost of agricultural products, the development of individual farms and the country's agro-industrial complex as a whole. The article discusses the content and features of lean logistics in crop production, taking into account the factors of seasonality and the relationship between production and biological processes. A Lean Logistics methodology has been developed that allows you to manage and organize logistics operations in the supply chain at three levels, such as supply, storage and distribution of agricultural products, to identify and eliminate non-value added activities. The procedure for managing the logistics process of crop production at all its stages is presented: inventory management, procurement management, raw material warehouse management, finished product warehouse management. The goals and content of each stage are determined. The proposed recommendations are aimed at optimizing logistics in crop companies in order to increase productivity, reduce losses and minimize the cost of moving and storing agricultural products. Lean logistics activities can help reduce unnecessary steps and standardize crop production processes. Keywords— lean logistics, logistic process, warehousing, crop
We Are Aging Too! Exploring the Social Impact of Late-Life Migration among Older Immigrants in the United States

Abstract Although aging and migration are major global demographic trends, little attention has been given to the health and well-being of immigrants who migrate later-in-life. Drawing on the social convoy perspective, we examine the social impact of late-life migration and explore patterns of human service provision among late-life immigrants in a midwestern U.S. region. Using qualitative data (N = 71)—in-depth interviews and focus group discussions— from diverse key informants, including late-life immigrants and local human service providers, our study attempts to expand the knowledge base on late-life migration and garner community-generated solutions for the well-being of this unique population.