Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating A Competitive Advantage For Universities Through Knowledge-Based Strategic Assets Management

This study aims to identify and analyze strategic assets for universities and explain the role of leadership in maximizing the use of these assets as a competitive advantage through knowledge management practices. As a non-profit organization, universities live in a competitive world of higher education services. Theoretical and practical studies prove that intense competition will be won by organizations that have a sustainable level of competitive advantage, not temporary competitive advantages. In order to identify strategic assets for higher education institutions, this study assumes that all knowledge-based assets are strategic assets that add value to the organization and improve organizational performance. The role of higher education as a knowledge-based organization that nurtures diverse knowledge and as a producer of reliable human resources in the scientific field establishes knowledge-based assets or intellectual capital as the strategic capital of universities. The research population are the leaders of universities in East Java, both state universities and private universities. The sample was determined based on the purposive random sampling technique, namely by selecting the leaders of universities with a rating (AIPT) of at least B or Good, totalling 113 people. The criteria are set with the assumption that the university leadership has implemented knowledge management. Data were collected by distributing questionnaires and analyzed using SEM-PLS. Research is useful both theoretically and practically. At the theoretical level, a strategy for managing intellectual capital is formulated as a strategic asset, while at the practical level it can be carried out by university leaders. Keywords: Intellectual Capital, Knowledge Management, AIPT, Competitive Advantage
How can reporting on foreign animal diseases affect meat purchases? The case of African swine fever

Abstract Consumers tend to overestimate food risks, and news reporting that draws attention to the deadly aspects of animal disease can cause fear in consumers even when a disease is not a food safety issue. We utilize an online survey experiment with U.S. pork consumers to assess how prior knowledge of African swine fever (ASF) and how news headlines and article content can affect pork purchases. We find that consumers are generally unaware of ASF, and almost half of respondents, who are all typically pork consumers, would be unwilling to purchase pork if there were an ASF outbreak in the United States. Within our experiment consumers who have less prior knowledge of ASF hesitated to buy pork, when first hearing of an outbreak. While additional information that ASF is not a human health threat helped mitigate pork avoidance, the placement of food safety assurance in either the headline or body of the article does not show a significantly different impact on consumer willingness to pay. As part of preparation efforts for a potential outbreak, our results emphasize the role of consumers’ prior knowledge and perceptions of the disease, which relays the importance of media cooperation in proactively informing the public about ASF outbreaks and highlighting the nonimpact on human health.
Resveratrol and Astaxanthin Protect Primary Human Nasal Epithelial Cells Cultured at an Air-liquid Interface from an Acute Oxidant Exposure

Oxidative stress (OS) in the airway epithelium is associated with cell damage, inflammation, and mitochondrial dysfunction that may initiate or worsen respiratory disease. However, it is unclear whether exogenous antioxidants can provide protection to the airway epithelium from OS. Resveratrol and astaxanthin are nutritional compounds that have shown diverse benefits including protection against OS and inflammation in various situations. The aim of this study was to examine the utility of pre-treatment with resveratrol and astaxanthin to prevent the negative effects of oxidant exposure and restore redox homeostasis in a well-differentiated epithelium grown from primary human nasal epithelial cells (NECs) at the air-liquid interface. Fully differentiated NECs were pretreated with the antioxidants for 24 hours and the cultured epithelia was subsequently exposed to hydrogen peroxide (H2O2) for 1 hour to induce an acute OS. Responses measured included mitochondrial reactive oxygen species (mtROS) generation, redox status (GSH/GSSG ratio), cellular ATP, and signaling pathways (SIRT1, FOXO3, p21, PINK1, PARKIN, NRF2). Following H2O2 exposure, mtROS production increased by 4-fold compared with control (p<0.01) and pre-treatment with resveratrol or astaxanthin reduced this by 50% (p<0.05). H2O2 exposure reduced GSH/GSSG ratio and this decline was prevented by antioxidants pre-treatment. H2O2 exposure caused 2.5-fold increase in p21 mRNA expression compared with control (p<0.05), while a slight decrease in p21 mRNA expression was observed when cells were pre-treated with resveratrol or astaxanthin. Our results demonstrate that antioxidants, resveratrol, and astaxanthin were able to protect cells from an acute OS. These agents show promise that encourages further research.
Large-scale distribution of Herbig-Haro objects in Taurus

We report our new results on Herbig-Haro (HH) objects in the star forming region of Taurus from a wide-field survey with the 60/90 cm Schmidt telescope of the Beijing Astronomical Observatory. This survey using CCD imaging with a narrow band [SII] filter and an intermediate band [BATC10] filter covered approximately 30 square degrees in Taurus. Besides confirming the known HH Objects in the region, we discovered seven new HH candidates, and groups. Six of these are HH 701A-B, HH 702A-D, HH 703, HH 704A-D, HH 705, HH 706 and the seventh is a group, a new component of HH 319, labeled HH 319B-D. Based on the large-scale distribution of pre-main-sequence (PMS) stars in Taurus, we analyze statistically the most probable distance from the HH objects to each PMS star, from which we estimate the typical timescale of these HH objects to be between (1.3 - 2.0) x 10(4) yrs; and we also obtain the birth rates of HH objects: 0.447+/-0.198 for Class I PMS stars, 0.360+/-0.222 for Class II PMS stars, and -0.148+/-0.234 for Class III PMS stars.
Effect of physical health, dietary behaviour and personal hygiene on body mass index of school-going adolescents near Patna, Bihar: A cross-sectional study

ABSTRACT Background: Body mass index (BMI) is the most frequently used method to determine the nutritional status in adolescents. School-going population in developing countries like India are susceptible to undernutrition due to several socioeconomic, demographic, and nutritional factors. Poor dietary habits, sedentary lifestyles and improper hygiene can have a deleterious effect on their BMI. Methods: The aim of the study was to determine any association of BMI with physical health, nutrition, and personal hygiene among the school-going adolescents near Patna, Bihar. Analytical cross-sectional study was conducted among 160 school-going adolescents, chosen by stratified random sampling. They were given Indian Adolescent Health Questionnaire which had close-ended questions about physical activity, nutritional, and hygienic practices. BMI was calculated from self-reported height and weight. Pearson’s correlation, independent t test, ANOVA, and Chi-Square test of proportions were done. Significance level was set at P < 0.05. Results: Only 39.4% adolescents had normal BMI, and almost half were underweight. Pearson’s correlation of BMI with age showed a weak positive correlation (r = 0.124, P = 0.118). Participants perceiving themselves overweight, did physical exercise to lose weight (P < 0.001), whereas who stated that they rarely consumed cooked vegetables, had the self-perception of being underweight (P = 0.009). This self-perception of their weight, physical activity, handwashing after using toilet/latrine and weekly frequency of brushing teeth significantly predicted the BMI in these adolescents (F = 10.895, df (4,155), P < 0.001, R2 = 21.9%, Adj. R2 = 19.9%). Conclusion: Malnutrition can lead to infection, impaired reproductive health, anaemia and other long-term morbidities into adulthood. Hence there is need of more objective nutritional assessment in adolescence for prevention of disease burden in the community.
STEADY AND TRANSIENT RESPONSES OF ELECTRORHEOLOGICAL SUSPENSION PASSING THROUGH A RECTANGULAR CHANNEL

The steady and transient responses of ER effect of ER fluids containing sulfonated polymer particles, passing through a rectangular channel between two fixed parallel electrodes, were investigated by ensuring pressure drops across the channel in which the flow established a Poiseuille flow geometry. Effects of the types and the strength of applied electric field and the mean flow velocity on the steady response were clarified, and compared with those in a Couette flow geometry using a rotary rheometer in order to investigate the dependence of ER effects on the flow geometry. As the mean flow velocity increased, the yield stress decreased exponentially under DC voltage, while, in the case of AC voltage, gradually increased and reached a peak level and decreased thereafter. Contrastively, the yield stress measured by the rotary rheometer decreased suddenly at low shear rate, and reached almost constant level. That is, the measured yield stress depends on the flow geometry and the type of applied electric field. The measured pressure response to a step input voltage can be approximated by a first order response, and the rising time constant of ER effect depend on the compositions of ER fluids and range from 5 to 40 msec.
Item Function Characteristics and Dimensionality for Alternative Response Formats in Mathematics

The purpose of this study was to investigate the technical properties of stem-equivalent mathematics items differing only with respect to response format. Using socio- economic factors to define the strata, a proportional stratified random sample of 1,366 Connecticut sixth-grade students were administered one of three forms. Classical item analysis, dimensionality assessment, item response theory goodness-of-fit, and an item bias analysis were conducted. Analysis of variance and confirmatory factor analysis were used to examine the functioning of the items presented in the three different formats. It was found that, after equating forms, the constructed-response formats were somewhat more difficult than the multiple-choice format. However, there was no significant difference across formats with respect to item discrimination. A differential item functioning (DIF) analysis was conducted using both the Mantel-Haenszel procedure and the comparison of the item characteristic curves. The DIF analysis indicated.
SOME INEQUALITIES CONCERNING FUNCTIONS OF EXPONENTIAL TYPE

In fact, (1.5) holds only if fo(z) is [7, p. 59] a constant multiple of (z-50)-1 sin a(zo). The form of the extremal function in the case p = 2 suggests that for functions which are real for real z we should hope to get better estimates at nonreal points. It is equally clear that for functions which do not vanish in the upper half plane inequality (1.2) can be refined for points in the lower half plane. We prove
The Mediating Role of Sleep Quality in the Relationship between Negative Emotional States and Health-Related Quality of Life among Italian Medical Students

Sleep problems have been shown to be related to adverse outcomes concerning physical and mental well-being. Furthermore, mental health issues and sleep problems were reported to be highly prevalent among medical students and physicians, and were found to be associated with worse academic and clinical performance in these populations. This study aims to investigate the prevalence of poor sleep to examine the associations between sleep quality and health-related quality of life (HRQoL), and to explore the possible mediating role of sleep in the relationship between psychological distress and HRQoL itself in a sample of medical and dental students attending a large Italian university. Participants (n = 407, mean age: 24.2 ± 2.4) answered an online questionnaire comprising the 21-item Depression Anxiety Stress Scale, the Pittsburgh Sleep Quality Index, and the Short Form-12 health survey. Up to 62% of the participants reported poor sleep quality. Controlling for psychological distress, sleep quality components were found to be associated with physical and mental HRQoL. Mediation analysis showed that overall sleep quality mediated all the single associations between anxiety, depression, and stress and HRQoL. These preliminary findings suggest that the quality of sleep is important for the well-being of medical students and that targeting sleep issues in this academic population may be beneficial.
Study of Fixed-Points in the Self-Repair Process of a 3-D Printer

We present and prove a theorem guaranteeing global stability in a non-linear system representing the iterative self-repair process where a 3D printer repairs its timing pulley. The process consists of gradually improving the broken part in the 3D printer until the printer reaches its repaired state. To prove global stability, we verify that the limit of the self-repair sequence does not depend on the initial condition, and always converges to the repaired state. Even though the convergence of this process has been analyzed under strong assumptions, in the present work, the convergence is proven for a more general case.
Using climate‐driven adaptive evolution to guide seed sourcing for restoration in a diverse North American herb‐shrub species

Seeds zones are bounded geographic areas to guide seed sourcing for landscape scale restoration. Yet seed zones based on plant adaptative traits are lacking for most restoration species. Sulfur‐flower buckwheat (Eriogonum umbellatum Torr) includes herbs, subshrubs, and shrubs adapted to a range of ecological regions within North America. Its widespread occurrence and diversity make it a suitable model species to explore seed zone development based on evolutionary plant adaptations. Within a common garden, 69 populations from diverse seed sources and 13 taxonomic varieties were evaluated for 17 phenological, morphological, and production traits in 2016 and 2017. Analyses of variance showed taxonomic varieties and seed source locations differed for all plant traits. Linear correlation revealed source locations with warmer mean temperature and more precipitation generally had later phenology, larger umbels, more leaf area, higher leaf dry weight, and more seed and shoot dry weight production. Canonical correlation strongly linked seed source climates at source locations with plant traits evaluated in the common garden, suggesting climate‐driven adaptive evolution. Canonical variates 1 and 2, explaining 60% of the variation, were used to develop regression models that predicted their values from climate variables across the study area. Using geographic information technology these were mapped into 12 seed zones representing 1.31 million km2 in the Western United States. These zones were designed to provide guidance to practitioners when sourcing sulfur‐flower buckwheat for restoration projects. We expect this methodology can be successfully applied to other species to develop seed zones based on adaptive evolution.
A Tool for Recommending Keywords with More Live and More Attention

In this paper, we propose a method to help authors to choose alternative Keywords that help their papers to gain visibility. These alternative keywords must have a certain level of popularity in the scientific community and, at the same time, be keywords that have fewer competitors. The competitors would be derived from other papers containing the same keywords. Having fewer competitors would allow the author’s paper to have a higher consult frequency. In order to recommend keywords, we must first determine an Attention-Survival score. The attention score is obtained by using the popularity of a keyword. The survival score is derived by the number of manuscripts using the same keyword. With these two scores, we created a new algorithm that finds alternative keywords with a high Attention-Survival score. We used ontologies in order to ensure that alternative keywords proposed by our method are semantically related to the original authors keywords that authors wish to refine. The hierarchical structure in an ontology supports the relationship between the alternative keywords and the input keywords. To test the sensibility of the ontology, we used two sources: WordNet and The Computer Science Ontology. Finally, we launched a survey to have human validation for our algorithm, by using keywords from Web of Science papers and three ontologies: WordNet, CSO and DBpedia. We obtained good results in all our tests.
City Bias: Affordable Housing Accessibility Assessment—Evidence From 153 Prefectural Cities in China

This study explores the invisible bias quantification of urban governments in their affordable housing service delivery, which can accurately identify the deficiencies of affordable housing policy and alleviate homelessness, poverty, and inequality. We identified complicated eligibility criteria for public rental housing programs in 153 prefectural cities and constructed a public rental housing accessibility index for urban residents and migrants. We used the principal component analysis method; this study offers a new perspective to explore these disparities. We found distinct regional differences in local governments’ behaviors and preferences regarding affordable housing. Cities’ affordable housing provision for migrants is selective and mainly targets young and highly educated migrants. We suggest that local governments pay more attention to elderly migrant workers in affordable housing provision and build a comprehensive evaluation system to set reasonable access conditions to prioritize those with urgent housing needs.
Missing data methods for linkage analysis of IBS and incomplete IBD from affected sib-pairs

We derive linkage statistics for situations where the number of marker alleles shared identical-by-descent (IBD) is incomplete, and the number of marker alleles shared identicalby-state (IBS) is known. The linkage statistics are based on the assumption that the parental genotypes are missing at random (MAR). We first assume the marker IBD is unambiguous for a sib-pair if the parental genotypes are available. Then we relax this assumption to assess the impact of marker ambiguity. The derivation of each statistic involves a Taylor series expansion of a log likelihood that is a function of the recombination fraction and nuisance parameters and incorporates the missing data situation. The first derivative of the log likelihood is zero under the null hypothesis of no recombination, so the Taylor series expansion of the log likelihood reveals a linkage statistic that is proportional to the second derivative of the log likelihood evaluated at the null hypothesis value of the recombination fraction. We prove that the standardized linkage statistics have asymptotic normal distributions, and we provide required sample sizes and simulation results and consider the impact of parent availability and marker ambiguity.
Metagenomic Analysis of Liquor Starter Culture Revealed Beneficial Microbes’ Presence

Wines are complex matrices famous for their pleasant aroma and exceptional flavor. Baijiu (white wine) is a traditional Chinese liquor with a soft mouthfeel, fragrant taste, and long-lasting aftertaste. Baijiu is distilled from sorghum and wheat via solid fermentation. As in wines, the microbial ecosystem of Baijiu is a key decisive factor influencing aroma and consumer preferences. Microbial diversity in Baijiu has been intensively investigated. It is important to note that probiotics are a mixture of bacteria and yeast primarily intended to improve health. Our study aimed to characterize the microbial ecosystem of Zaopei Baijiu Daqu (ZBD) starter cultures for specific microbes with probiotic properties. The DNA samples of ZBD starters were analyzed using a metagenomic 16S rRNA approach to characterize the bacterial and ITS for fungal diversity. Weissella cibaria was the most dominant species in the bacterial community, while Saccharomycopsis fibuligera was the most abundant fungal species. Furthermore, functional prediction analysis identified unique pathways associated with microbial diversity relevant to functional innovation. These associated pathways include fermentation, amino acid metabolism, carbohydrate metabolism, energy metabolism, and membrane transport. This study identified beneficial microbes in the starter culture, opening a path for further in-depth analysis of those microbes by isolating and evaluating them for a valuable role in in vitro and in vivo studies.
Principle of high accuracy for the nonlinear theory of the acceleration of electrons in a vacuum by lasers at relativistic intensities

Acceleration of electrons by lasers in a vacuum was considered impossible based on the fact that plane-wave and phase symmetric wave packets cannot transfer energy to electrons apart from Thomson or Compton scattering or the Kapitza-Dirac effect. The nonlinear nature of the electrodynamic forces of the fields to the electrons, expressed as nonlinear forces including ponderomotion or the Lorentz force, permits an energy transfer if the conditions of plane waves in favor of the beams and/or the phase symmetry are broken. The resulting electron acceleration by lasers in a vacuum is now well understood as free wave acceleration, as ponderomotive scattering, as violent acceleration, or as vacuum beat wave acceleration. The basic understanding of these phenomena relates to an accuracy principle of nonlinearity for explaining numerous discrepancies on the way to the mentioned achievement of vacuum laser acceleration, which goes beyond the well-known experience of necessary accuracy in both modeling and experimental work experiences among theorists and experimentalists in the field of nonlinearity, From mathematically designed beam conditions, an absolute maximum of electron energy per laser interaction has been established. It is shown here how numerical results strongly (both essentially and gradually) depend on the accuracy of the used laser fields for which examples are presented and finally tested by the criterion of the absolute maximum.
Supervised Principal Components and Factor Instrumental Variables. An Application to Violent CrimeTrends in the US, 1982-2005

Supervised Principal Component Analysis (SPCA) and Factor Instrumental Variables (FIV) are competing methods addressed at estimating models affected by regressor collinearity and at detecting a reduced-size instrument set from a large database, possibly dominated by non-exogeneity and weakness. While the first method stresses the role of regressors by taking account of their data-induced tie with the endogenous variable, the second places absolute relevance on the data-induced structure of the covariance matrix and selects the true common factors as instruments by means of formal statistical procedures. Theoretical analysis and Montecarlo simulations demonstrate that FIV is more efficient than SPCA and standard Generalized Method of Moments (GMM) even when the instruments are few and possibly weak. The prefered FIV estimation is then applied to a large dataset to test the more recent theories on the determinants of total violent crime and homicide trends in the United States for the period 1982-2005. Demographic variables, and especially abortion, law enforcement and unchecked gun availability are found to be the most significant determinants.