Miracle-dz/UniFAR-FTUs huggingface dataset:
An Exploratory Study in Non-Professional Football on the Perception of Stakeholders about the New Working Professional Profile of Sports Kinesiologist

In Italy, recent amendments to Legislative Decree n. 36 of 28 February 2021, on sports work, may have made the application of the reform by stakeholders unclear, with the risk of generating further confusion among them. One of the most critical points concerns the possible equivalencies to the professional profile of the kinesiologist, which would be illegitimately recognized even for a different level of education, contrary to the requirements of the European qualification framework. The aim of the study was to understand the perceptions of stakeholders in the world of non-professional football regarding recent legislative provisions. A survey, divided into two sections, was administered to 112 presidents and 112 trainers of non-professional football associations of the province of Salerno. The first section presents five items common for both presidents and trainers, which seek to probe stakeholders’ perceptions of the enjoyment, appropriateness, usefulness, and scientificity of kinesiologists. The second section presents five differentiated items. Validity and reliability were calculated. A chi-square analysis (χ2) was performed to test the independence within and between-subjects (trainers and presidents) on their perceptions about the new working professional profile of sports kinesiologist. From the results, it was possible to appreciate a discordance of opinion among stakeholders. Although the majority of presidents and trainers are in favour of introducing such a professional profile (p < 0.05), contradictions emerge concerning the contribution the new professional profile can make in practice (p > 0.05). The perceptual contradictions found among stakeholders’ responses demonstrate how the complexity of recent regulatory provisions regarding possible equivalencies to the title of kinesiologist have inevitably generated further confusion among stakeholders.
Chiral sculptured thin films as integrated dual-modality optical sensors

Chiral sculptured thin films (CSTFs) are well-suited to optical-sensing applications because their multiscale porosity and optical properties can be tailored to order. Two independent modalities of optical sensing were considered. For both modalities, the analytes to be sensed are assumed to fully penetrate the void regions of the CSTF and thereby give rise to measurable changes in the macroscopic optical responses of the CSTF. The first modality is based on the excitation of multiple surface-plasmon-polariton (SPP) waves at the planar interface of a CSTF and a metal film, while the second is based on the spectral shift in the circular Bragg phenomenon (CBP). We considered a CSTF with a central twist defect of 90°. Our numerical studies revealed a CSTF coated with a thin layer of metal of appropriate thickness can simultaneously support the excitation of multiple SPP waves and the CBP, with both phenomenons being independently sensitive to the refractive index of a fluid which infiltrates the void regions of the CSTF. Accordingly, an integrated dual-modality optical sensor may be envisaged which harnesses both modalities of sensing simultaneously. Such an optical sensor offers the potential to detect more than one type of analyte at a time, with increased sensitivities and/or specificities.
Evaluation of Chemical Constituents of Litchi Pericarp Extracts and Its Antioxidant Activity in Mice

Litchi pericarp is the main byproduct of litchi processing and contains several polyphenols. However, the chemical constituents and the antioxidant effect in litchi pericarp extracts (LPE) have been rarely studied. The result of the quantitative analyses of the major monomers in LPE indicated that procyanidin A2, procyanidin B2, epicatechin, rutin, and catechin were the major polyphenol compounds of LPE. The LPE exhibited high radical scavenging activity, as indicated by the results of the 1,1-diphenyl-2-picrylhydrazyl (DPPH) and ascorbic acid, 2,2′-Azinobis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) tests. Moreover, administrating D-galactose in mice led to the reduced activity of antioxidant enzymes, aggravated lipid peroxidation, and induced protein oxidation. The results were improved in the aging mice after the LPE treatment was performed. The above results suggest that LPE has an excellent antioxidant effect. Accordingly, litchi pericarp can serve as a promising source of dietary antioxidants.
Reduction of Pathogens in Feces and Lymph Nodes Collected from Beef Cattle Fed Lactobacillus salivarius (L28), Lactobacillus acidophilus (NP51) and Propionibacterium freudenreichii (NP28), Commercially Available Direct-Fed Microbials

The purpose of the study was to evaluate the prevalence and concentration of foodborne pathogens in the feces and peripheral lymph nodes (PLNs) of beef cattle when supplemented with direct-fed microbials (DFMs) in feedlots. Fecal samples were collected from the pen floors over a 5-month period at three different feedlots in a similar geographical location in Nebraska, where each feed yard represented a treatment group: (i.) control: no supplement, (ii.) Bovamine Defend: supplemented with NP51 and NP24 at a target dose of 9 log10CFU/g/head/day, and (iii.) Probicon: supplemented with L28 at a target dose of 6 log10CFU/g/head/day. Each fecal sample was tested for the prevalence of E. coli O157:H7 and Salmonella, and concentration of E. coli O157:H7, Enterobacteriaceae and Clostridium perfringens. Cattle were harvested and PLNs were collected on the harvest floor. Real-time Salmonella PCR assays were performed for each PLN sample to determine Salmonella presence. The cattle supplemented with both DFMs had reduced foodborne pathogens in fecal samples, but feces collected from the pens housing the cattle supplemented with Probicon consistently had significantly less E. coli O157:H7 and Salmonella prevalence as well as a lower C. perfringens concentration. While DFMs do not eliminate foodborne pathogens in fecal shedding and PLNs, the use of DFMs as a pre-harvest intervention allows for an effective way to target multiple pathogens reducing the public health risks and environmental dissemination from cattle.
Changes in Degree Centrality and Functional Connectivity after the First Cycle of Neoadjuvant Chemotherapy in Newly Diagnosed Breast Cancer: A Longitudinal Study

Purpose To evaluate the longitudinal changes of brain degree centrality (DC) and functional connectivity (FC) in breast cancer patients after the first cycle of neoadjuvant chemotherapy (NAC). Methods Thirty-five breast cancer patients were included in the NAC group. Resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological test were performed at baseline before NAC (time point 0, TP0) and after the first cycle of NAC (time point 1, TP1). The healthy controls (HC) included 30 healthy subjects and received the same rs-fMRI scan and neuropsychological test as the above-mentioned NAC group at one time point. DC and FC analyses were conducted to assess brain connectivity of all participants. Receiver operating characteristic (ROC) curve was used to assess the ability of DC and FC in distinguishing patients before and after chemotherapy. Results In the NAC group, the Self-Rating Anxiety Scale scores decreased significantly over time. At TP0 and TP1, the Digital Span Test forward score of the NAC group was significantly lower than that of the HC group. In the NAC group, DC in the right middle frontal gyrus and left precentral gyrus/middle frontal gyrus decreased significantly at TP1, and FC between the left precentral gyrus/middle frontal gyrus and bilateral precuneus was significantly reduced at TP1. Through ROC analysis, we found that the area under the curve (AUC) of DC, FC, and the combined model in distinguishing patients in TP0 or TP1 was 0.7886, 0.7665, and 0.8278, respectively. Conclusions Brain connectivity, involving executive and motor function related brain areas, changes in the short term after NAC treatment in breast cancer patients.
Impaired Carbohydrate Metabolism and Excess of Lipid Accumulation in Offspring of Hyperandrogenic Mice

Polycystic ovary syndrome (PCOS) is an endocrine–metabolic disorder of unknown etiology. Hyperandrogenism (HA) is the main diagnostic criteria for PCOS, in addition to being a risk factor for developing several disorders throughout the patient’s life, including pregnancy. However, the impact on offspring is little known. Therefore, the aim of this work was to evaluate the effect of maternal HA on glucose metabolism and hepatic lipid accumulation in adult offspring. We used Balb/c mice treated with dehydroepiandrosterone (DHEA) for 20 consecutive days. The ovary of DHEA-treated mice showed hemorrhagic bodies, an increased number of atretic follicles, and greater expression of genes related to meiotic cell cycle and DNA repair. The DHEA offspring (O-DHEA) had low birth weight, and some pups showed malformations. However, O-DHEA individuals gained weight rapidly, and the differences between them and the control group became significantly greater in adulthood. Moreover, O-DHEA presented higher serum glucose after a 6 h fast and a larger area under glucose, insulin, and pyruvate tolerance test curves. Oil Red O staining showed a more significant accumulation of fat in the liver but no changes in serum cholesterol and triacylglycerol levels. In summary, our results show that HA, induced by DHEA, affects gene expression in oocyte, which in turn generates defects in embryonic development, insulin resistance, and alteration in hepatic gluconeogenesis and lipid metabolism in O-DHEA, thereby increasing the risk of developing metabolic diseases.
A UNIFIED APPROACH TO FULLY-STRESSED DESIGN

The paper is concerned with presenting a unified approach to the design of structures subject to stress and gauge constraints. Duality theory is used both for obtaining bounds on the optimum design and for examining the optimality of solutions obtained by a given algorithm. Comparisons are made between the convergence rates and stability of various alternative “fully-stressing“ methods. Two projected gradient methods are introduced in an attempt to overcome problems caused by the presence of slack constraints.
In-plane conduction and c -axis polarization in the misfit-layered oxide [ Bi 2 Ca 2 O 4 ] q CoO 2

We have used low-frequency dielectric measurements to study the evolution of anisotropic charge transport in misfit-layered oxides ${[{\text{Bi}}_{2}{\text{Ca}}_{2}{\text{O}}_{4}]}_{q}{\text{CoO}}_{2}$. Above $\ensuremath{\sim}60\text{ }\text{K}$, the in-plane dc conductivity obeys the Arrhenius law and the dielectric polarization occurs along the $c$ direction. We point out that this $c$-axis polarization is attributed to the activated carrier which is confined to $ab$ plane.
Genomic Characteristics of Elite Maize Inbred Line 18-599 and Its Transcriptional Response to Drought and Low-Temperature Stresses

Elite inbred line 18-599 was developed via triple test cross from introduced hybrid P78599 and used as parents of dozens of maize hybrids adapting to the diverse ecological conditions of the maize ecological region in Southwest China. In this study, its genomic DNA was resequenced and aligned with the B73 genome sequence to identify single nucleotide polymorphism (SNP), and insertion (In) and deletion (Del) loci. These loci were aligned with those between B73 and 1020 inbred lines in the HapMap database to identify specific variation loci of 18-599. The results showed that there were 930,439 specific SNPs and 358,750 InDels between 18-599 and the 1020 lines. In total, 21,961 of them showed significant impacts on the functions of 12,297 genes, such as frameshift, change of splicing site, stop gain, change of start site, and stop loss. Phylogenetic analysis showed that 18-599 was closely related to inbred lines ZEAxujRAUDIAAPE and 2005-4, but far from some inbred lines directly isolated from P78599. This result indicated that 18-599 not only pyramided the elite genes of P78599, but also acquired genetic divergence during the repetitive backcrosses of triple test cross to confer its elite agronomic characteristics. Subsequently, the RNA of 18-599 was sequenced. The aligned 9713 and 37,528 of the 165,098 unigenes were screened and aligned with annotated transcripts of the B73 genome differentially expressed under drought and low-temperature stress, respectively, and their functions were involved in the responses to these stresses. The quantitative PCR results of fourteen random genes verified the RNA sequencing results. These findings suggest that the transcriptional responses of many resistance-related genes were an important mechanism for 18-599 to adapt to diverse ecological conditions.
Uncertainty-Aware LSTM Based Dynamic Flight Fault Detection for UAV Actuator

Accurate fault detection for unmanned aerial vehicle (UAV) actuators is essential for ensuring flight safety and mission completion. Without the requirement of modeling complex physical mechanism, data-driven actuator fault detection approaches have attracted much attention. Among them, the long short-term memory (LSTM) approach has shown superior performance due to its capability of modeling complex spatial–temporal features. However, the modeling uncertainty of LSTM is actually changeable under different flight conditions, which has not been well considered in the existing researches. In this article, a novel uncertainty-aware LSTM (UA-LSTM) based dynamic flight condition fault detection approach for UAV actuator is proposed. A prediction-based fault detection model is first set up based on LSTM, utilizing the information from both the flight action modes and the actuator effect. Its inputs are specifically selected by both physical mechanism and data correlation analysis. Furthermore, time-series features indicating the prediction uncertainty of the model are constructed on the selected inputs to characterize dynamic flight conditions more accurately. Then, an adaptive threshold estimation space is set up based on an enhanced distribution-based condition clustering approach. Fault detection thresholds for various flight conditions are obtained and are smoothed to reduce the influence of disturbances. Finally, the fault detection model with stepwise adaptive detection threshold is acquired. Experimental results on both simulation and real flight data illustrate that the proposed approach is superior for actuator fault detection under dynamic flight conditions.
Tourism and Natural Hazards: River Landform Changes Due to Geohazards and Its Influence on the Economic Development of Ecotourism in Sabah, Malaysia

Geohazards are often portrayed as a calamity that has a detrimental effect on humans and the environment. It is usually uncommon to consider geohazards in the opposite context. Therefore, this study examines the positive effects of an earthquake event centered in Ranau, Sabah, especially from the aspect of ecotourism development. A total of 27 homestay entrepreneurs in Kampung Melangkap were interviewed in this study. The raw data collected during the interview were conceptually and descriptively analyzed using the ATLAS.ti 8 software. Observation techniques were used to supplement the interviews. This study found that the morphological changes of the Panataran Kedamaian River in Kampung Melangkap were a result of an earthquake centered in Ranau. This disaster has led to the development of more interesting physical attractions, attracting many tourists to Melangkap Village. The dramatic increase of tourists in Melangkap during the post-geohazard phase has become the starting point for the economic growth of ecotourism in the region. This is shown by the increase in the number of homestay entrepreneurs, the expansion in the size of their businesses, higher overall income of homestay entrepreneurs, and better job opportunities for the local population.
Acculturative Stress and Psychological Distress Among Latinx Youth: Moderating Role of Family Cohesion and Conflict

This study examined family cohesion and conflict as moderators of associations between discrimination stress and adaptation stress and psychological distress among Latinx youth. Participants included 199 Latinx adolescents (Mage = 13.68). Seventy nine percent were immigrants and 73% had family origins in Mexico. Discrimination stress and adaptation stress had differential associations with psychological distress and with indices of family functioning. Hierarchical regression analysis found significant interactions of family cohesion with both adaptation and discrimination stress. High levels of family cohesion protected against negative effects of discrimination stress. Although high levels of family cohesion were associated with less distress overall, family cohesion appeared to potentiate negative effects of adaptation stress. Results suggest a complex relation of family cohesion with Latinx youths’ emotional well-being, pointing to the need for research examining the role of extra-familial support resources for helping those youth overcome acculturative stress.
The Potential of Structurally Insulated Panels (SIPs) to Supply Net Zero Carbon Housing

Governments throughout the EU and the UK face a persistent challenge of satisfying the continual growth in demand for housing and create zero carbon buildings. This paper presents a novel conceptual framework and empirical results to evaluate the potential for Structurally Insulated Panels (SIPs) to address this challenge. Firstly, we present a comprehensive analysis of the energy performance of a SIPs building in the UK to evaluate the potential for such technologies to satisfy the energy and carbon objectives. Using our unique data set we show that SIPs can exceed the necessary energy efficiency standards and reach Net Zero Carbon. Secondly, we introduce game theory as a novel conceptual framework to understand the incentives of the manufacturers of SIPs and UK/EU authorities. This enables us to identify potential sources of incentive conflict, which inhibit the diffusion of such technologies. We demonstrate that it benefits both parties to engage in medium investment, but the inferior under investment scenario can emerge if the UK/EU does not provide leadership and commitment to SIPs technologies. Regardless of the market design in terms of the timing of decisions, the maximum level of support by both the UK/EU and the SIPs manufacturers cannot be achieved.
Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images

Glacial lakes are an important and dynamic component of terrestrial meltwater storage, responding to climate change and glacier retreat. Although there is evidence of rapid worldwide growth of glacial lakes, changes in frequency and magnitude of glacier lake outbursts under climatic changes are not yet understood. This study proposes and discusses a method framework for regional-scale mapping of glacial lakes and area change detection using large time-series of optical satellite images and the cloud processing tool Google Earth Engine in a semi-automatic way. The methods are presented for two temporal scales, from the 2-week Landsat revisit period to annual resolution. The proposed methods show how constructing an annual composite of pixel values such as minimum or maximum values can help to overcome typical problems associated with water mapping from optical satellite data such as clouds, or terrain and cloud shadows. For annual-resolution glacial lake mapping, our method set only involves two different band ratios based on multispectral satellite images. The study demonstrates how the proposed method framework can be applied to detect rapid lake area changes and to produce a complete regional-scale glacial lake inventory, using the Greater Caucasus as example.
Investigation on pH influence for the effective transportation of coal water slurry using experimental design

ABSTRACT The present study aims to identify the pH values in preparation of coal water slurry (CWS) that were evaluated. Rheological characteristics and stability of coal water slurry (CWS) were observed with two types of impellers at pH varying from 6.99 to 7.24. The results showed that the concentration of coal water slurry, rheological characteristics and stability of CWS for propeller and rushton impellers. The parameters that are most effected on the objectives are impeller speed (N) and ratio of clearance height with diameter of tank (C/T). The third parameter, ratio of slurry height with tank diameter (Z/T), is not effecting on output. The pH values of concentrated coal water slurry are favorable to transport to coal gasifier. For propeller impeller, the pH values vary from 6.99 to 7.15; for Rushton impeller pH values vary from 7.12 to 7.24 comparatively Rushton impeller having more base which is most favorable and obtain good CWS concentration. The influence of coal particle size is also investigated on pH values for optimal parameters of equipment.
Fault Diagnosis in Industrial Control Networks Using Transferability-Measured Adversarial Adaptation Network

In recent years, the increasing number of industrial infrastructure security incidents around the world has drawn public attention to industrial control networks (ICNs) security issues. Fault diagnosis of industrial devices is an indispensable part of the security system in ICNs. The mainstream fault diagnosis models rely on long-term training and massive fault data, which results in the inability to update the model effectively and timely when the environment changes. Thus, some researchers focus on developing cross-domain industrial fault diagnosis methods. However, they usually presume that the samples of the target and source domains share the same fault mode sets, and existing prior knowledge concerning the label spaces of these two domains. These are difficult to satisfy in actual ICNs. To respond to these challenges, we develop a transferability-measured adversarial adaptation network (TAAN) to identify unknown classes without prior knowledge. It embeds the hybrid transferability estimation into an adversarial domain adaptive network to weigh the contribution of each sample. In this way, TAAN can properly classify samples in a public label space by selectively aligning source and target samples with high transferability. The experimental results obtained using two diagnosis datasets prove that the developed TAAN can achieve satisfactory diagnostic accuracy by effectively bridging the distribution discrepancy under various working conditions.
Researching the Public Good: Reflections on Experiences of Doing Research on Higher Education and he Public Good in South Africa

This article discusses the experience of doing research on higher education and the public good in South Africa within a bigger project titled ‘Higher Education, Inequalities and the Public Good: Perspectives from Four African Countries’. Qualitative data was collected through key informant interviews by a team of eight researchers who concentrated on specific groups of stakeholders as per the themes of the research. The aim of the interviews was to understand the perceptions of stakeholders both within and outside the university system on the public good role of university education in South Africa. This article focuses on three key issues: locating the research in the context of South Africa’s democratic transition, methodological challenges and pitfalls, tensions, and missing questions/silences. We were doing our research in the aftermath of the student protests of 2015 and 2016, and many of the stakeholders we interviewed were actively involved in making sense of the issues that the students raised. The research team formulated the ‘DNA’ framework for analysing qualitative data from the stakeholders, which refers to the descriptive, normative and analytic aspects of the data that pointed to a unique way in which we could frame our findings. By reflecting on the research process and our positionality in it, the paper contributes to the general field of qualitative research studies, bringing in the dynamics of conducting research in large-scale cross-national projects.