Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between Nomophobia, Fear of Missing Out and Academic Success

Objective: The aim of the study was to determine the relationship between nomophobia and fear of missing out with academic performance among nursing students. Method: This cross-sectional research was performed with students in the nursing department of a health sciences faculty in a university in Turkey. The study was completed with 241 participants attending the nursing department. Data were collected with the descriptive survey form, nomophobia questionnaire (NMP-Q), and fear of missing out scale (FoMOs). Results: The research determined that nursing students had mean NMP-Q (73.82±21.27) and FoMOs (21.36±6.93) points at average levels. The model in the research was significant and the variables of gender and income explained 17% of general point average (GPA). Accordingly, GPA was lower by 2.4 points for men and by 0.9 points for those whose income did not match their expenditure Conclusion: The study identified that NMP-Q and FoMOs points were at moderate levels and these did not have an effect on the academic success level of nursing students. However, considering the seriousness of problems created by increasing technology use and digital problems currently, taking precautionary measures against these problems will be an effective intervention.
Engaging with research during design practice: A mismatch of activities and attitudes

Abstract Engaging with research is regarded as an essential part of design practice today by many experts. However, few academic studies have investigated research activities and attitudes within design professions. We conducted an online survey with 212 Australian communication design practitioners to understand how design research is valued and conducted. We found 90% of the respondents regarded engaging with research as ‘highly important’ or ‘extremely important’ for practising professionally. However, 76% indicated that the research activities they engaged in were ‘not at all’ or only ‘somewhat’ systematic. This suggests a mismatch between their positive attitudes and limited activities. We conclude that designers’ considerable appetite for research engagement and their frequent yet informal, unsystematic research activities present substantial opportunities for collaboration between design academics and practitioners.
Prediction of power consumption in mechanically agitated gassed reactor in viscous batch

Transport characteristics such as volumetric mass transfer coefficients, kLa, power input, P, gas hold-up, γ, and mixing time, tm, are the key parameters in the design of mechanically agitated gasliquid contactors. For their successful design, values of the key parameters can be estimated using empirical correlations. Power input in this case is very often used as the scale of energy dissipation for other characteristics. Our goal was to propose reliable power input correlations for viscous batch processes, which are widely used in industry. The measurements were carried out in a pilot-plant vessel and also results from a laboratory vessel were used to develop the correlations. Different types of impellers and their combinations were used, including radial, axial, and combined liquid flow impellers. The power input was measured in a multiple-impeller vessel at different impeller frequencies and several gas flow rates. Correlation equations describing the behavior of particular impellers were evaluated. In addition, separate correlations for the bottom and upper sections in the multiple-impeller vessel were presented. These correlations can be used for impeller power prediction in industrial scale vessels under a wide range of operational conditions.
Advisory Governance Policy, Shareholder Voice, and Board Responsiveness: The Case of Majority Vote in Director Elections

This study investigates how adoption of advisory governance policy encourages firms to become more responsive to their shareholders over time. Although shareholder activism is costly and often viewed as unable to drive meaningful change, we identify increasing shareholder voice as an underlying mechanism to explain how advisory policy adoption ultimately reshapes board–shareholder relations. Drawing on signaling theory and behavioral views of board–shareholder dynamics, we test our predictions following the broad shift in corporate board voting policies from plurality to majority vote standards. While prior research shows that majority vote adoption has little to no direct impact on director elections, empirical results from 2,390 firm-year observations provide support for our hypotheses that adoption of this advisory electoral standard signals a willingness to hear shareholder concerns, leading to increased shareholder activism and, in turn, board responsiveness to shareholder proposals. Overall, our results help explain why some firms continue to fight the purely advisory policy and why an era of shareholder empowerment followed the majority vote campaign.
Associations between distress tolerance and posttraumatic stress symptoms among combat veterans and their parents: The mediating role of parents’ accommodation

Objective: Combat-related posttraumatic stress disorder (PTSD) might negatively impact the mental health of veterans’ family members. Nevertheless, nearly no research has examined secondary PTSD symptoms (PTSS) in veterans’ parents, and still to be explored are the mechanisms by which distress tolerance (DT) contributes to veterans’ PTSS and parents’ secondary PTSS (SPTSS). In the present study, we aimed to use a dyadic approach to explore the association between veterans’ and parents’ DT and their PTSS/SPTSS, as well as to examine the mediating role of parents’ accommodation of veterans’ behaviors in these associations. Method: A volunteer sample of 102 dyads of Israeli combat veterans and their parents responded to online validated self-report questionnaires in a cross-sectional study. Analysis included actor–partner interdependence modeling (APIM) and mediation analyses. Results: Veterans’ PTSS was positively correlated with parents’ SPTSS. Moreover, veterans’ DT and parents’ DT negatively predicted their own PTSS and SPTSS, respectively. Furthermore, veterans’ DT negatively predicted their parents’ SPTSS. Importantly, parents’ accommodation mediated the links between veterans’ DT and both veterans’ PTSS and parents’ SPTSS, as well as between parents’ DT and veterans’ PTSS with parents’ SPTSS. Conclusion: Parents of combat veterans might be indirectly traumatized by their offspring’s military experiences and suffer from secondary PTSS. Among both veterans and parents, low DT is associated with higher levels of parents’ accommodation, which in turn is related to more posttraumatic symptoms.
The Long Run Impacts of Court-Ordered Desegregation

Court ordered desegregation plans were implemented in hundreds of US school districts nationwide from the 1960s through the 1980s, and were arguably the most substantive national attempt to improve educational access for African American children in modern American history. Using large Census samples that are linked to Social Security records containing county of birth, we implement event studies that estimate the long run effects of exposure to desegregation orders on human capital and labor market outcomes. We find that African Americans who were relatively young when a desegregation order was implemented in their county of birth, and therefore had more exposure to integrated schools, experienced large improvements in adult human capital and labor market outcomes relative to Blacks who were older when a court order was locally implemented. There are no comparable changes in outcomes among whites in counties undergoing an order, or among Blacks who were beyond school ages when a local order was implemented. These effects are strongly concentrated in the South, with largely null findings in other regions. Our data and methodology provide the most comprehensive national assessment to date on the impacts of court ordered desegregation, and strongly indicate that these policies were in fact highly effective at improving the long run socioeconomic outcomes of many Black students. Garrett Anstreicher 1180 Observatory Drive Room 7316 Madison, Wisc 53706 United States anstreicher@wisc.edu Jason Fletcher University of Wisconsin-Madison La Follette School of Public Affairs 1225 Observatory Drive Madison, WI 53706 and NBER jfletcher@lafollette.wisc.edu Owen Thompson Department of Economics Williams College 24 Hopkins Hall Drive Williamstown, MA 01267 and NBER ot3@williams.edu Anstreicher, Fletcher and Thompson Long Run Effects of Court-Ordered Desegregation
Prevalence of Intestinal Parasitic Infections and Their Associated Risk Factors among Pregnant Women Attending Antenatal Care Center at Woreilu Health Center, Woreilu, Northeast Ethiopia

Background Intestinal parasitic infections (IPIs) affect millions of pregnant women worldwide and if left untreated can cause adverse effects for mothers, fetuses, and newborns. This study was aimed at determining the prevalence and associated risk factors of intestinal parasitic infections among pregnant women in Woreilu, Northeast Ethiopia. Methods A cross-sectional study was conducted in Woreilu Health Center from October 2018 to February 2019. A convenient sampling technique was used to select the study subjects. The data related to the sociodemographic information and associated risk factors were collected by the interview technique, and fresh stool samples were collected from each pregnant woman. The microscopic examination of the stool samples was done by using direct wet mount preparations in normal saline and formol ether concentration techniques. Descriptive statistics and binary logistic regression were used. A p value < 0.05 was taken as statistically significant. Results A total of 331 pregnant women were included. The mean ± standard deviation of age of the participants was 26.3 ± 5.96 years ranging between 16 and 43 years. The overall prevalence of IPIs was 144 (43.5%) with the predominance of E. histolytica/dispar (44.4%) followed by A. lumbricoides (15.7%). Being a student (AOR = 3.35, 95% CI: 1.01-11.09, p = 0.047), second trimester (AOR = 3.94, 95% CI: 1.46-10.64, p = 0.007), third trimester (AOR = 3.32, 95% CI: 1.15-9.6, p = 0.027), and using spring water for drinking (AOR = 2.91, 95% CI: 1.62-5.22, p ≤ 0.001) were significantly associated with IPIs. Conclusion The prevalence of IPIs was high in this study. Being a student, second and third trimester, and using spring water for drinking were associated factors with IPIs. Therefore, improving the sanitation of the students and providing clean drinking water for the women should be strengthened. Screening women and providing health education during their antenatal care (ANC) visits are also recommended.
ESG-Based Sustainability Performance and its Impact on Cost of Capital: International Evidence from the Energy Sector

The purpose of this article is to examine the impact of firms’ sustainability performance, measured through their ESG (environmental, social, and governance) scores, on their cost of capital. Using the data of 125 companies from 24 countries for an eleven-year period from 2009 to 2019, we run panel data regressions to find out the impact of ESG scores on two measures of cost of capital: cost of debt, and cost of equity. We run pooled and panel regressions. The results reveal an inverse relationship between cost of capital and overall ESG scores. As a robustness check, we run the analyses according to the generalized method of moments, leading to similar results. For the individual scores of the environmental, social, and governance pillars, the results are mixed. The results imply that companies should adopt a holistic approach and engage in all dimensions of sustainability.
Online Learning and Online Assessments: Attitude Change and Students’ Perceptions

The purpose of this paper is twofold. First, it is to examine 44 Malaysian undergraduate students’ attitude change towards online learning and online assessments during the Covid-19 pandemic. Second, it intends to explore students’ perception of the emergency online learning and online assessments. Technology Acceptance Model (TAM) by Davis (1989) is used as the framework to describe the factors that determine the acceptance of the use of computers and pertinent technologies in various technologies and user groups. The pretest and posttest questionnaire responses were based on participants’ learning experience in the previous and current semesters, respectively. The findings show that in general, there was a positive change of attitude toward both online learning and online assessments. The interview data reflect how external factors namely institutional support, new and useful knowledge and online skills, accessibility, computer self-efficacy and enjoyment possibly play a role in the students’ change of attitude. It can be deduced from the findings that e-learning usage during the pandemic was influenced by the attitude change which was in turn determined by the external factors.
Isolation and Identification of Lactose-Degrading Yeasts and Characterisation of Their Fermentation-Related Ability to Produce Ethanol

Kefir is traditionally produced by fermenting cow’s milk using kefir grains as a starter culture. As the viability of microbes within kefir grains is limited and preparing the grains for kefir fermentation is laborious, here, a single starter that ferments lactose and produces ethanol is developed. For this purpose, it is important to isolate yeasts that can ferment lactose and subsequently produce alcohol. This study aimed to isolate and identify yeasts from kefir and characterise their ability as single starters to produce kefir. Based on morphological and physiological evaluations, 15 presumptive yeast isolates were obtained, 10 of which grew well on lactose-containing media. Those that were able to grow on lactose using only carbon sources were subjected to molecular identification based on the internal transcribed spacer (ITS) of the 5.8 rDNA using PCR technology. Molecular identification confirmed four isolates—namely, KFA 3, KFA 7, KFA 9 and KFB 1—as belonging to Kluyveromyces marxianus. The batch fermentation data of these strains were fitted on a logistic model to obtain the carrying capacity coefficients and strain performances were compared. The kinetic modelling revealed that KFA 9 had the highest values for the carrying capacity coefficient, biomass yield and product yield, indicating that, among the four K. marxianus strains, this was superior due to its relatively fast growth and good ethanol productivity.
Error Aversion Versus Error Management: Does Organizational Error Culture Affect Employees’ Customer Orientation?

This study examines how two error cultures (error management and error aversion) influence customer-oriented behavior through negative affectivity and job satisfaction. We collected two samples: one for the error-aversive scale validation (n = 140) and the other for the conceptual model (n = 381). All responses are from contact employees working for mid-scale to luxury hotels in a metropolitan city in China. The findings reveal that mid-scale hotels are more error-averse than upscale hotels; upscale and luxury hotels are more inclined to error-management than mid-scale hotels. Further, error strains and error cover-up do not converge as lower-order constructs for error aversion; cover-up appears to be the truly opposite of error management. Cover-up along with strains decreases customer-oriented behavior through negative affectivity. In contrast, error management increases customer orientation through job satisfaction. This study contributes to the literature of organizational error culture by incorporating two opposite error cultures into the proposed model.
Deep Learning Based Image Enhancement for Automotive Radar Trained with an Advanced Virtual Sensor

This paper introduces a novel deep learning based concept for image enhancement and distortion suppression in automotive radar signal processing. The deep neural network (DNN) is trained solely on virtual data that is generated by an automotive MIMO radar ray tracing simulator. The simulator mimics the raw data that would be provided by a specific automotive MIMO radar for which the signal processing is envisaged. This virtual radar sensor, which has the same properties as the real radar, creates the DNN training input data. The unique feature of our approach is that an advanced virtual radar sensor is used to create the target values for the DNN training. The advanced virtual sensor is a simulated radar that works on the same basic principle as the real radar and its resembling virtual sensor, but is significantly upgraded in terms of performance. In our experiments the advanced virtual sensor, e.g., has a notably larger array, i.e., a much better lateral resolution, than the real radar. In addition, our advanced virtual sensor is not affected by multi-path effects, clutter, noise, beamforming sidelobes and other typical automotive radar distortions. The paper shows that a DNN trained on this advanced virtual sensor training data can deliver outstanding automotive radar signal processing results not only on simulated data but also on field data. The presented real-world automotive radar measurements show that multi-path, clutter and noise are efficiently suppressed by this DNN and that it has a remarkable ability to sharpen images and suppress sidelobes. The results presented in the paper suggest that the novel advanced DNN training concept based on virtual sensors offers opportunities that also go far beyond the radar signal processing capabilities illustrated. Hence, the concept put forward here is an attractive option for placing DNN-based radar signal processing on a novel and easy-to-implement foundation.
The Role of Social Media Adoption as Mediating Variable between Environment Context and SME Performance

: Acceptance of social media in small and medium businesses has been largely achieved through previous studies. However, previous literature paid less attention to Indonesia’s small-medium enterprise (SME). This study aims to explore the role of social media adoption as a mediator between environmental factors and the economic performance of SMEs. To understand the relationship of these variables, researchers use Technology-organization-environment (TOE). SEM-PLS is used to analyse the primary data. The results show that environmental factors have a positive correlation with the adoption of social media. Futhermore, the environmental factor is also associated with business performance. however, social media adoption does not play the role of mediator between the environmental factor and business performance of SME. Theoretical and practical implication are discussed in this article.
PARABOLIC QUATERNIONIC MONGE-AMP`ERE EQUATION ON COMPACT MANIFOLDS WITH A FLAT HYPERK¨AHLER METRIC

The quaternionic Calabi conjecture was introduced by Alesker-Verbitsky, analogous to the K¨ahler case which was raised by Cal- abi. On a compact connected hypercomplex manifold, when there exists a ﬂat hyperK¨ahler metric which is compatible with the underlying hyper- complex structure, we will consider the parabolic quaternionic Monge-Amp`ere equation. Our goal is to prove the long time existence and C ∞ convergence for normalized solutions as t → ∞ . As a consequence, we show that the limit function is exactly the solution of quaternionic Monge-Amp`ere equation, this gives a parabolic proof for the quaternionic Calabi conjecture in this special setting.
The twist for Richardson varieties

We construct the twist automorphism of open Richardson varieties inside the ﬂag variety of a complex semisimple algebraic group. We show that the twist map preserves totally positive parts, and prove a Chamber Ansatz formula for it. Our twist map generalizes the twist maps previously constructed by Berenstein–Fomin–Zelevinsky, Marsh–Scott, and Muller–Speyer. We use it to explain the relationship between the two conjectural cluster structures for Richardson varieties studied by Leclerc and by Ingermanson.
Nonthermal Emission from Fall-back Clouds in the Broad-line Region of Active Galactic Nuclei

The spectra of active galactic nuclei exhibit broad-emission lines that presumably originate in the broad-line region (BLR) with gaseous-dusty clouds in a predominantly Keplerian motion around the central black hole. Signatures of both inflow and outflow motion are frequently seen. The dynamical character of BLR is consistent with the scenario that has been branded as the failed radiatively accelerated dusty outflow. In this scheme, frequent high-velocity impacts of BLR clouds falling back onto the underlying accretion disk are predicted. The impact velocities depend mainly on the black hole mass, accretion rate, and metallicity, and they range from a few km s−1 up to thousands of km s−1. Formation of strong shocks due to the collisions can give rise to the production of relativistic particles and associated radiation signatures. In this work, the nonthermal radiation generated in this process is investigated, and the spectral energy distributions for different parameter sets are presented. We find that the nonthermal processes caused by the impacts of clouds can lead to emission in the X-ray and the gamma-ray bands, playing the cloud density and metallicity key roles.
Generators for the cohomology ring of the moduli of 1-dimensional sheaves on $\mathbb{P}^2$

We explore the structure of the cohomology ring of the moduli space of stable 1-dimensional sheaves on $\mathbb{P}^2$ of any degree. We obtain a minimal set of tautological generators, which implies an optimal generation result for both the cohomology and the Chow ring of the moduli space. Our approach is through a geometric study of tautological relations.
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Training a referring expression comprehension (ReC) model for a new visual domain requires collecting referring expressions, and potentially corresponding bounding boxes, for images in the domain. While large-scale pre-trained models are useful for image classification across domains, it remains unclear if they can be applied in a zero-shot manner to more complex tasks like ReC. We present ReCLIP, a simple but strong zero-shot baseline that repurposes CLIP, a state-of-the-art large-scale model, for ReC. Motivated by the close connection between ReC and CLIP’s contrastive pre-training objective, the first component of ReCLIP is a region-scoring method that isolates object proposals via cropping and blurring, and passes them to CLIP. However, through controlled experiments on a synthetic dataset, we find that CLIP is largely incapable of performing spatial reasoning off-the-shelf. We reduce the gap between zero-shot baselines from prior work and supervised models by as much as 29% on RefCOCOg, and on RefGTA (video game imagery), ReCLIP’s relative improvement over supervised ReC models trained on real images is 8%.