Miracle-dz/UniFAR-FTUs huggingface dataset:
Will better performing health-care services have higher profiles and be more active on social media? A comparative study between hospitals from Colombia and Spain

Hospitals make increasingly more use of social media. The basic hypothesis of this study is that the more developed the health care services of a country are, the higher the communicative activity of its hospitals will be on social media. Moreover, the highest presence and activity on social media will be associated with the most prestigious hospitals in countries with fewer economic resources. The presence of the most prestigious hospitals in both Colombia and Spain on Facebook, Twitter, YouTube and Instagram are analyzed in this paper to either refute or to accept these hypotheses. Both countries have similar populations, but their economic and health care services differ greatly. The degree of activity on these platforms, the participation of Internet users, and the reputation of the hospitals are also studied. In total, 165 profiles are analyzed. The results are processed in a statistical software program and various tests establish whether there are significant relations. It was observed that the level of health-care services of the country was not correlated with the presence and activity of the hospitals on social media, nor with the interaction of Internet users. In addition, a correlation between social-media presence and reputation was detected in the country with the most developed health-care services (Spain). In conclusion, the fact that a country has more health-care resources neither implies that its hospitals have either a greater presence or are more active on social media, nor that the public interact more with
An Efficient Indexing Scheme for Network Traffic Collection and Retrieval System

Historical network traffic retrieval, both at the packet and flow level, has been applied in many fields of network security, such as network traffic analysis and network forensics. To retrieve specific packets from a vast number of packet traces, it is an effective solution to build indexes for the query attributes. However, it brings challenges of storage consumption and construction time overhead for packet indexing. To address these challenges, we propose an efficient indexing scheme called IndexWM based on the wavelet matrix data structure for packet indexing. Moreover, we design a packet storage format based on the PcapNG format for our network traffic collection and retrieval system, which can speed up the extraction of index data from packet traces. Offline experiments on randomly generated network traffic and actual network traffic are performed to evaluate the performance of the proposed indexing scheme. We choose an open-source and widely used bitmap indexing scheme, FastBit, for comparison. Apart from the native bitmap compression method Word-Aligned Hybrid (WAH), we implement an efficient bitmap compression method Scope-Extended COMPAX (SECOMPAX) in FastBit for performance evaluation. The comparison results show that our scheme outperforms the selected bitmap indexing schemes in terms of time consumption, storage consumption and retrieval efficiency.
RETRACTED: Research on current status and cultivation approaches of college students’ financial literacy in China under the campus loan perspective

This paper first reviews the development history of campus loans in China and the scale of Internet finance consumption, then conducts a survey of the status of college students’ financial literacy by using universities and colleges in Hunan as an empirical study. Basing on the survey results, we can find the general lack of financial literacy among college students. Finally, it expounds the cultivation path of college students’ financial literacy from three aspects in China, namely, establishing financial information security awareness, cultivating financial risk prevention awareness and improving financial discrimination ability, so as to control campus loan risks.
Phylogenetic structure of Vitex negundo var. heterophylla shrub communities and Spiraea trilobata shrub communities in the North Taihang Mountains

Aims: Shrublands are one of the most important ecosystems in Taihang Mountains region of China. Shrub communities play an important role in maintaining biodiversity, providing ecosystem services, and promoting ecological security in the Beijing-Tianjin-Hebei region. Methods: We explored differences in community assembly and associated environmental factors for two of the most representative shrub communities in the region, Vitex negundo var . heterophylla and Spiraea trilobata , by assessing their net relatedness index (NRI) and using multiple regression. We further used principal coordinates of phylogenetic structure (PCPS) to determine the key phylogenetic nodes giving rise to the community phylogenetic structure. Results: We found that the phylogenetic structures of these two shrub communities were significantly different despite no detectable difference in their species diversity. The S. trilobata community showed significant phylogenetic overdispersion, whereas the V. negundo var . heterophylla community showed no significant phylogenetic structure, despite exhibiting a greater degree of clustering degree than S. trilobata community. Community assembly of S. trilobata shrubs was driven by niche differentiation. By contrast, habitat filtering together with niche differentiation drove community assembly of V. negundo var . heterophylla shrubs. Habitat filtering related to drought stress was the main reason for the increase in phylogenetic clustering of V. negundo var . heterophylla shrubs. The PCPS two-dimensional ranking results showed that the phylogenetic clustering trend of the V. negundo var . heterophylla shrub community was mainly attributed to the lack of distantly related groups, such as Rosales and Fagales, while the species comprising the S. trilobata shrub community contained more phylogenetic clades. Conclusion: Our results suggest that habitat filtering was not a major driver of shrub community assembly in the Taihang Mountains region and that water limitation was an important factor in determining regional community phylogenetic structure of shrubland ecosystems.
Vaginale Geburt und Inkontinenz – ist eine Aufklärung über dieses Risiko vor Geburt zielführend?

Die Zunahme des maternalen Alters bei der Geburt und die Entwicklung der personalisierten Medizin in der Geburtshilfe erfordern eine ständige Reflexion der Beratung zum Geburtsmodus. Dabei steht die Förderung einer physiologischen Geburt im Mittelpunkt. Die Beratung darf jedoch nicht einseitig erfolgen, sondern muss auch auf Fragen der postpartalen Inkontinenz aufgrund von geburtsassoziierten Beckenbodenschädigungen bei vaginaler Geburt eingehen. Hier besteht bisher keine Aufklärungspflicht.
Assessing Group-Based Changes in High-Performance Sport. Part 1: Null Hypothesis Significance Testing and the Utility of p Values

ABSTRACT The role of a strength and conditioning coach (SCC) has evolved over the last 10 years to accommodate the large influx of data now available. As such, today's SCC must extend their skill set to include data analysis, understanding the validity and utility of p values, effect sizes, confidence intervals, and terms such as the smallest worthwhile change, and minimal difference. The aim of part one of this 2-part review is to define and discuss the utility of null hypothesis significance testing, p values, and error rates. In part 2, we introduce effect sizes, measures of variability, and confidence intervals, culminating in recommendations as to which may be the most viable options within the context of performance-based sport, and thus potential methods to report group-based changes.
Clinical outcome and Predictors of Acute Kidney Injury in Adult Patients Admitted to the Medical Ward of Jimma Medical Center, South West Ethiopia: A prospective Observational Study

BackgroundAcute kidney injury is a major global public health problem occur both in community and hospital settings. It is expensive to manage, prolongs hospitalization and associated with high rates of in-hospital mortality. We aim to evaluate the clinical outcome and predictors of AKI in a single center hospitalized patients.MethodA hospital based prospective observational study was employed. Patients were recruited using consecutive sampling technique after informed consent was secured from all patients. Data was cleaned, coded and entered in to Epi-data software version 4.4. 2 and analyzed with SPSS version 21. Cox regression model was fitted to identify predictors of mortality. Statistical significance was considered at p-value of less than 0.05. ResultA total of 203 patients were enrolled over five months. Out of this, 121(59.6%) were males and 58(28.6%) aged greater than 60. Most common causes of AKI were; Hypovolemia 99(48.77%), Glomerulonephritis 51 (25.11%), Sepsis 32(15.79%). The overall in hospital mortality was 12.8%. Stage3 AKI (AHR = 9.61, 95%CI: 1.17–28.52, p = 0.035), duration of AKI (AHR = 7.04, 95% CI: 1.37–36.08, p = 0.019), length of hospital stay (AHR = 0.19, 95% CI: 0.05–0.73 p = 0.012) and hyperkalemia (AHR = 3.61, 95% CI: 1.12–11.71, p = 0.032) were significantly associated with in hospital mortality.ConclusionAcute kidney injury was associated with a significant five month in hospital mortality. Most of causes of AKI are preventable and patients would have been benefited from early identification and treatment of these reversible causes.
Vulnerability Mining Based on Hook Mechanism

IOT devices are easy to be attacked by hackers because of their intelligence and openness. The vulnerability mining of IOT devices has become a key research field in the security field. This paper studies a method of vulnerability mining based on function hook mechanism, which can make AFL QEMU mode is suitable for the binary fuzzy test of firmware CGI program of IOT devices, it can effectively test the firmware CGI program. Through the experiment, we successfully found the common vulnerability of IOT router equipment and through the reverse analysis of firmware, we trace back to the assembly code of the corresponding vulnerability point, and then carry out the corresponding analysis.
Reduced Iris Yellow Spot Symptoms through Selection within Onion Breeding Lines

Iris yellow spot (IYS) disease in onion (Allium cepa L.) is caused by onion thrips (Thrips tabaci L.) vectored Iris yellow spot virus (IYSV). The absence of cultivars that are resistant/tolerant to thrips and/or IYS is a challenge for onion bulb and seed production worldwide. To measure selection progress for reduced/delayed IYS symptom expression in onion breeding lines after two selection cycles, selections were performed in 2011 on previously evaluated lines that exhibited a reduced symptom expression after one selection cycle. Selected plants from each line were massed in a cage and the resulted progenies were evaluated in 2013 and 2014 along with their original populations and a susceptible check—’Rumba’. In some comparisons, the selection progress for delayed/reduced IYS symptom expression was observed for some breeding lines. Plants of most selected breeding lines exhibited less disease expression than plants of ‘Rumba’. For some selections, a low disease severity was observed even with a relatively high number of thrips per plant. These results suggest that further improvement might be achievable with additional cycles of selection.
Changes in the soil N potential mineralization and nitrification in a rice paddy after 20 yr application of chemical fertilizers and organic matter

Abstract: The effect of long-term (20 yr) fertilizer application on soil nitrogen (N) transformation in paddy soils was studied at three sites (Xinhua, Ningxiang, and Taojiang) in Hunan province, China. Four fertilization practices were chosen: chemical fertilizers (NPK), chemical fertilizers plus a medium or high amount of pig manure (MM + NPK), chemical fertilizers plus a high amount of pig manure (HM + NPK), and chemical fertilizers plus straw incorporated (Str. + NPK). A treatment with no fertilization was included as a control (CK). Ten week aerobic incubations were conducted to determine N potential mineralization and nitrification. Application of organic plus chemical fertilizer increased soil organic carbon, total nitrogen, and microbial biomass carbon (Cmic) and nitrogen (Nmic), whereas the response of Cmic/Nmic ratio to fertilizer application varied among sites. Across all sites, the HM + NPK treatments had the highest potentially mineralizable N and maximal nitrification rate, and the CK had the lowest. The MM + NPK, Str. + NPK, and NPK treatments had lesser effects on mineralizable N and nitrification. Results indicated that chemical fertilizer along with a high rate of manure application is an effective method to improve available soil N by increasing the N mineralization rate. However, higher N nitrification was also induced by manure application, which may lead to increased N losses, and also should be considered in practical applications.
Psychological First Aid for Military Personnel in Combat Operations: The Ukrainian Model

Abstract The aim of this present article is to discuss the Psychological First Aid (PFA) model designed for Ukrainian military personnel suffering from combat stress reactions (CSRs) in the War in Donbas. The PFA model and algorithm for casualties with signs of CSRs provide for simple measures aimed at ensuring the personal safety of the casualty, satisfying basic physiological needs, and stopping the action of combat stressors. The 3-level PFA model provides for the gradual transfer of the casualty to higher-level providers, as needed, where at the first level is his colleague (“peer-to-peer”), at the second, is his commander, at the third is a psychologist. The main activities carried out at all levels of PFA in the event of the occurrence of CSRs are disclosed. For their effective relief, an algorithm was developed that provides a clear relationship between the levels of PFA. Criteria for assessing PFA based on the results of the restoration of impaired mental functions of the casualty are proposed. The PFA model for military personnel suffering from combat stress was tested in practice (2016–2019) in combat operations with illegal armed groups in the East of Ukraine.
Evaluation of Aqueous Creams Containing Ethanolic Extract of Curcuma longa (Turmeric) as Bioactive Ingredient for the Management of Wounds

Abstract Background: Wounds are considered health indispositions with detrimental socio-economic influences on the afflicted and their kin. Curcuma longa or turmeric has been used in the treatment of wounds. Employing the extracts of turmeric as a bioactive ingredient in an aqueous cream could enhance its value in wound treatment. Aim: This study aimed to formulate aqueous creams containing concentrations of ethanolic extract of turmeric (EET) as bioactive ingredients, evaluate their stability and wound healing activities in male Wistar rats using hydroxyproline (HXP) as a biochemical marker. Materials and methods: Solutions of 1.5, 3.0 and 5.0 % w/v of crude EET were prepared and also incorporated as bioactive ingredients in aqueous creams. The stability of the creams was evaluated and their wound healing effects were studied using distilled water, dimethyl sulphoxide (DMSO) and cholesterol as controls in male Wistar rats. Results: The creams were stable in colour, pH, viscosity, etc. and exhibited wound healing activities. The animals treated with the crude 1.5 % w/v EET and its cream demonstrated the highest tissue HXP level showing significant percentage differences in tissue HXP levels from the control groups (p < 0.05). Conclusion: The crude EET has been confirmed to possess wound healing properties with an optimal effective concentration for wound healing in male Wistar rats determined as 1.5 % w/v which when incorporated as a bioactive ingredient in an aqueous cream retained its efficacy in wound healing and could therefore be beneficial in the treatment of body injuries.
A Predictive Prescription Using Minimum Volume k-Nearest Neighbor Enclosing Ellipsoid and Robust Optimization

This paper studies the integration of predictive and prescriptive analytics framework for deriving decision from data. Traditionally, in predictive analytics, the purpose is to derive prediction of unknown parameters from data using statistics and machine learning, and in prescriptive analytics, the purpose is to derive a decision from known parameters using optimization technology. These have been studied independently, but the effect of the prediction error in predictive analytics on the decision-making in prescriptive analytics has not been clarified. We propose a modeling framework that integrates machine learning and robust optimization. The proposed algorithm utilizes the k-nearest neighbor model to predict the distribution of uncertain parameters based on the observed auxiliary data. The enclosing minimum volume ellipsoid that contains k-nearest neighbors of is used to form the uncertainty set for the robust optimization formulation. We illustrate the data-driven decision-making framework and our novel robustness notion on a two-stage linear stochastic programming under uncertain parameters. The problem can be reduced to a convex programming, and thus can be solved to optimality very efficiently by the off-the-shelf solvers.
Comparative Preliminary Analysis of Umbilical Cord Blood-, Healthy Adult Peripheral Blood- and Myocardial Infarct Peripheral Blood-Derived Endothelial Progenitor Cells

BACKGROUND: Cardiovascular disease is a leading cause of death globally with the 287,000 deaths per years, characterized by declining of heart function caused by the reduction of heart capacity and lead to heart failure. Cell therapy using endothelial progenitor cells (EPCs) has a big potential for cardiovascular regeneration. EPCs are cells that have ability to differentiate into endothelial cells that can be mobilized and integrated into the defected blood vessel by angiogenesis. AIM: We aimed to seek the superior EPCs derived from MNCs for functional improvement of advanced heart failure patient by cell therapy using EPCs. MATERIALS AND METHODS: We did preliminary analysis to compare umbilical cord blood (UCB), healthy adult peripheral blood (PB)-, and myocardial infarct PB-derived EPCs characteristic and surface phenotypes. Different sources of each EPCs mononuclear cells were characterized by the expression of endothelial (cluster of differentiation [CD] 31, acethylated low-density lipoprotein, and von Willebrand) and hematopoietic stem cell (CD45, CD34, and CD133) surface markers with flow cytometry. RESULTS: In this study, EPCs and the conditioned medium (CM) have been produced and characterized in laboratory scale by comparing several sources of EPCs for instance UCB, PB from healthy people, and patients with myocardial infarction. We have shown that EPC characterizations from each group were not significantly different, but vascular endothelial growth factor and hepatocyte growth factor in UBC-derived CM-EPCs were higher than in PB. CONCLUSION: In conclusion, the UBC-derived EPCs might have a better potential for cardiovascular regeneration.
Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model

The purpose of this research is to investigate the accountability of the extended technology acceptance model (TAM) in the domain of sharing accommodation platform service. Based on TAM, this research derived attributes such as network externalities, trust, interactivity, ease of use, usefulness, and intention to repurchase. This study selects Airbnb as the context. A survey was adopted as the main instrument of this research. The total number of valid observations is 450. For the data analysis, this study conducted frequency analysis, confirmatory factor analysis, correlation matrix, reliability test, and path analysis using structural equation modeling. The results show that network externalities are essential to account for trust and interactivity. In addition, the results show that interactivity is an influential element to both ease of use and usefulness. Moreover, usefulness is affected by trust and interactivity. Furthermore, this research reveals the positive association between usefulness and intention to repurchase.
Structures and Properties of Chitosan-Starch-Sodium Benzoate Blend Films

The chitosan-starch-sodium benzoate blend films were prepared by solution method, and then characterized by FT-IR, XRD, transmittancy, percent water absorption, measurement of mechanical properties and antimicrobial activity. The results suggested that there was some strong interaction and good compatibility in the blend films. The starch content in the blend films can improve the mechanical properties of them, the tensile strength values increased by 31.9% in dry state and 26.4% in wet state when the chitosan content was 60%. The antimicrobial activity of blend films increased as sodium benzoate was added to the films, In one week, the antimicrobial activity against St.aureus and E.coli of the blend films increased by 10.4% and 31.2% each when the chitosan content was 80%.
Obesity and Gut Microbiota

1. Abstract The human microbiota is an extremely large system with its majority inhabiting the colon. In this review we study the relation between the gut microbiota composition and obesity. 2. Introduction Human microbiota is the system englobing more than 100 trillion microorganisms living in symbiosis with the hosting body [1, 2]. The majority of the human microbiota inhabits the gastrointestinal tract especially the colon [3]. The microbiota gene composition, the microbiome, is composed of 10 million genes while the human genes count only 23000, thus the very rich functional potential [4]. In individuals with same eating habits and activity, different body weight changes are noted, a possible cause can be the intestinal microbiota [5, 6]. Thus, the state of intestinal microbiota can be classified as one of the multiple causes of obesity [7]. In fact, the development and progression of obesity can be due to an imbalance in the microbiota [8], and changes in the diet can lead to changes in the composition of the intestinal microflora [9]. Multiple documents confirm the association between gut microbiota and obesity. The knowledge of the mechanism is limited. This review summarizes the link between gut microbiota and obesity. 3. Function Due to its diversity, the microbiota has a high stability against various environmental factors [10] and can perform similar metabolic functions by different microorganisms at the same time [11]. Thus its important role in gastrointestinal [12, 13] motility, drug interaction and immune modulation [14, 15]. It inhibits pathogenic bacteria colonization of the gut [16] and increases the energy value of food [17]; it also ferments alimentary debris, breaks down their toxins, and absorbs their minerals [12, 18]. 4. Colonization The microbiota colonization of the gut starts at birth. The initial gut microbiota can resemble the mother’s vaginal microbiota (Lactobacillus, Prevotella, and Sneathia) for infants that are vaginally delivered or the mother’s skin microbial community (Staphylococcus, Corynebacterium, and Propionibacterium) in case of caesarean section [19]. When the individual reaches adulthood, the gut microbiota becomes composed mainly of Firmicutes and Bacteroidetes [20]. 5. Link with Obesity The link between gut microbiota and obesity came initially from studies on mice. Eventhough germ free mice eated more and moved less, they were resistant to obesity; when conventionalized they became obese [21]. Moreover, transplanting microbiota from obese animal to germ-free mice increased their body fat.7 Different studies demonstrated that in obesity the number of Firmicutes increases while the number of Bacteroidetes decreases despite the same nutrition and motor activity [22-26]. In the same concept, a