Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Baristas on Consumer Satisfaction through Coffee Shop Atmosphere as an Intervening Variable

Coffee shop is a rapidly growing business in the downstream agribusiness subsystem in various countries. The role of the barista and the atmosphere of the coffee shop are vital in providing consumer satisfaction to win the competition in the market. The research objective was to analyze the influence of the barista on customer satisfaction through the variable atmosphere of the coffee shop in the city of Cirebon. Cirebon City was chosen as the research location because it can represent a lowland city with many modern coffee shops around the world. The research was carried out in June-October 2022 using a survey method and a quantitative design. The research population is coffee shop consumers in Cirebon City, and the number of samples is 120 respondents. Measurement of variable indicators using a Likert Scale, data analysis using Structural Equation Modeling, and Sobel test. The study results concluded that the barista influences customer satisfaction through the coffee shop atmosphere as an intervening variable. The most dominant indicators explaining quality: barista is "hospitality," customer satisfaction is "feeling happy," and the atmosphere of the coffee shop is "coffee room/place" and "toilet. " For this reason, it is recommended that coffee shop business actors improve the quality of hospitality barista, products, and room and toilet designs to help satisfy consumers and win the competition.
Development and validity of a mentally-passive and mentally-active sedentary time questionnaire in nursing college students

Objective This study aimed to develop and validate a questionnaire to evaluate nursing college students’ mentally-passive and mentally-active sedentary time (M-PAST) in China. Methods An initial M-PAST questionnaire with mentally-passive and mentally-active sedentary behaviors was developed with content validity undertaken through a consensus panel and pilot test where a convenience sample of six nursing students was recruited to assess the relevance, comprehensiveness, and comprehensibility of the refined questionnaire after expert panelists’ responses. A cross-sectional online survey using a self-reported questionnaire was distributed to nursing students by email and then conducted using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the construct validity of the M-PAST questionnaire and factor structures. Finally, the criterion validity was examined by exploring the associations between the M-PAST and the IPAQ sitting time, psychological distress, and insomnia. Results Eight items regarding learning and leisure were included in the final version of the M-PAST questionnaire. A group of 650 nursing college students in China completed the study. Principal component analysis revealed two factors (i.e., mentally-passive and mentally-active sedentary behaviors), which explained 41.98% of the variance contributing to the questionnaire. The CFA reached the adaptive standard. Cronbach’s α ranged from 0.730 to 0.742. The correlations between M-PAST and IPAQ total sitting time were significant (p < 0.01, r = 0.125–0.396). Mentally-passive sedentary time was associated with psychological distress and insomnia (p < 0.01, r = 0.078–0.163), while no significant associations were found in mentally-active sedentary behaviors. Conclusion and implications for practice The M-PAST questionnaire appears to be a reliable and valid tool that reported both mentally-passive and mentally-active sedentary behaviors in nursing college students in China. However, future studies may need to further examine its validity among international nursing college students. This study further confirmed that mentally-passive sedentary behavior was positively associated with psychological distress and insomnia. Effective strategies are needed to reduce nursing college students’ mentally-passive sedentary time to improve their health and wellbeing in China.
PENGARUH CITRA MEREK DAN KUALITAS PRODUK TERHADAP MINAT BELI KONSUMEN PORKBALL

Penelitian ini bertujuan untuk mengetahui pengaruh citra merek dan kualitas produk terhadap minat beli produk Porkball. Variabel yang diteliti dalam penelitian ini adalah variabel citra merek (X1) dan variabel kualitas produk (X2). Variabel Citra Merek dan Kualitas Produk sebagai variabel bebas dan Minat Beli (Y) sebagai variabel terikat. Penelitian ini menggunakan metode regresi linier berganda. Populasi penelitian ini merupakan konsumen dari porkball dengan sampel sebanyak 41 orang. Metode pengumpulan sampel yang digunakan adalah metode Convinence sampling. Berdasarkan penelitian yang dilakukan, didapat hasil bahwa variabel citra merek dan kualitas produk berpengaruh signifikan terhadap minat beli konsumen produk Porkball.
Hydraulic Fracture Monitoring to Reservoir Simulation: Maximizing Value

The integration of microseismic measurements with complex fracture models can provide a much-needed constraint to the interpretation of complex fracture growth. With this constraint we now have a means to include fracture propagation and mass balance into the microseismic to reservoir simulation workflow. In addition, the introduction of complex hydraulic fracture models provides a much more quantitative method to improve fracture treatment designs and completion strategies. The application of complex fracture models is in its infancy and there is still an enormous learning curve before the models can be routinely used to make reliable decisions. However, complex fracture models, when combined with geomechanical models, microseismic measurements, and reservoir simulation can provide a more reliable evaluation of hydraulic fracture characteristics than previously possible. Microseismic data also provides a constraint for subsequent production modeling. This constraint comes in a number of forms, including characterization of natural fractures, calibrating complex hydraulic fracture models, and providing a bound for the reservoir volume contacted by the hydraulic fracture. With a more reliable estimate of the fracture network properties and a calibrated complex fracture model, treatment designs can be improved more systematically, reducing the trial-and-error empirical approach currently employed in shale-gas development.
Defining Active Learning: A Restricted Systemic Review

What is active learning? While active learning has been demonstrated to have positive impacts on student learning and performance, defining the concept has been elusive. Previous research examining active learning definitions in STEM fields found that the vast majority of published articles did not define active learning, and those that did defined active learning as interacting, engaging, or not lecturing. The current research extends this STEM-focused work by examining both social science and STEM science publications. A restricted systematic review of literature was conducted using the SCOPUS database, resulting in 547 relevant articles focused on active learning from 2017 to 2022. An examination of the articles indicated that 71% of the reviewed articles did not define active learning and that the instructional strategies most often cited as fostering active learning emphasized social interactive learning strategies (e.g., small groups, team-based learning, discussion, and cooperative learning), as well as critical thinking strategies (e.g., problem-based learning, case-based learning, and inquiry-based learning). In addition, an in-depth qualitative analysis of the 161 definitions provided within the articles yielded three main emergent themes: (a) active learning is defined as grounded in student-centered constructivist theory, (b) active learning is defined as promoting higher-order thinking and deep learning, and (c) active learning is defined as an instructional strategy involving activity, participation, and engagement. Given these main findings, a representative definition was created: Active learning is a student-centered approach to the construction of knowledge focused on activities and strategies that foster higher-order thinking.
Genome size in Argentinean species of Passiflora genus: cytological and phenotypical correlates

Abstract The genus Passiflora is the largest of the Passifloraceae family with many species and great phenotypic variability. There are nineteen species of Passiflora native to Argentina, distributed in four taxonomic subgenera: Passiflora, Decaloba, Dysosmia and Tacsonioides. Unlike most species of the genus, Argentinean species could tolerate colder climates. For most Argentinean species, genome size information is unavailable. The objective of this work has been to estimate the genomic size of 36 genotypes of thirteen Passiflora taxa by flow cytometry and to make a contrast with phenotypic ornamental characteristics. The genomic sizes of P. tucumanensis, P. elegans and P. mooreana are being introduced for the first time. The DNA amount per basic genome varied between 0.54 and 2.52 picograms in P. capsularis and P. alata, respectively. In the species P. caerulea, P. elegans and P. edulis f. flavicarpa, intraspecific variation in genomic size has been registered. The high correlation of genome size with flower diameter, and of leaf area with flower diameter can contribute to the selection of parents for the ornamental plant improvement plan. Also, the data collected in this work will be very useful in the study of inter-specific hybrids.
Development and Optimization of a Novel Lozenge Containing a Metronidazole-Peppermint Oil-Tranexamic Acid Self-Nanoemulsified Delivery System to Be Used after Dental Extraction: In Vitro Evaluation and In Vivo Appraisal

In-depth studies on essential oil–based nanoemulsions (NEs) have centered on a variety of oral health issues. NEs improve the delivery of nonpolar active agents to sites and thereby boost the dissolution and distribution of the agents. Metronidazole-peppermint oil-tranexamic acid self-nanoemulsifying drug delivery systems (MZ-PO-TX-SNEDDS) were created and loaded into novel lozenges to act as antifungal, hemostatic, antimicrobial, and analgesic dosage forms after dental extractions. The design-of-experiments approach was used in creating them. To generate the NEs, different concentrations of MZ-PO (240, 180, and 120 mg), 2% TX (600, 450, and 300 mg), and Smix1:1 (600, 400, and 200 mg) were used. The ideal formulation had serum levels of 1530 U/mL of interleukin-6, a minimal inhibitory concentration against bacteria of 1.5 µg/mL, a droplet size of 96 nm, and a blood coagulation time of 16.5 min. Moreover, the produced NE offered better MZ release. The adopted design was used to produce the ideal formulation; it contained 240 mg of MZ-PO, 600 mg of 2% TX, and 600 mg of Smix1:1. It was incorporated into lozenges with acceptable characteristics and an improved capability for drug release. These lozenges had reasonable coagulation times, IL-6 serum levels, and MIC values. All of these characteristics are desirable for managing symptoms following tooth extractions. Therefore, these lozenges loaded with MZ-PO-TX-SNEDDs might be considered a beneficial paradigm for relieving complications encountered after tooth extractions.
The trend of marriage, childbearing, and divorce and its determinants of socio-economic factors on divorce in Yazd province 2016-2021: A cross-sectional study

Abstract Background In recent decades, families and their stability as an important social institution have changed significantly. Objective This study aimed to investigate the marriage trends, childbearing, and divorce changes in Yazd province from 2016 to 2021 to estimate the effect of socioeconomic factors on divorce. Materials and Methods A cross-sectional study was done in 2 phases. In the first phase, an ecological (time trend) was conducted to investigate the 5 yr trend in the occurrence of marriage, childbearing, and divorce, as well as the factors affecting the occurrence of divorce in the second phase. For the second phase of the study, 600 participants were selected. 300 divorced and 300 married applicants were chosen between 2016 and 2021. A binary logistic regression model was used to find the related factors affecting the occurrence of divorce. Results The results showed a declining marriage (p = 0.05) and childbearing trend (p = 0.84), as well as an increasing trend in divorces (p = 0.02) in Yazd. Logistic regression analysis showed that college education (OR = 0.22, CI: 0.116-0.430, p < 0.001) and being self-employed (OR = 0.48, CI: 0.255-0.934, p = 0.03) could reduce the odds of divorce. In addition, nonresidents (OR = 2.1, CI: 1.314-3.562, p < 0.001), with > 10-yr age differences (OR = 3.8, CI: 1.803-8.213, p < 0.001) or the woman being older than her husband (OR = 3.4, CI: 1.981-5.848, p < 0.001) could increase the odds of divorce. Conclusion Our results confirmed that a combination of socioeconomic characteristics affects the stability of family institutions.
Retrospective Analysis of Bone Substitute Material for Traumatic Long Bone Fractures: Sex-Specific Outcomes

Male patients often experience increased bone and muscle loss after traumatic fractures. This study aims to compare the treatment outcomes of male and female patients with large bone defects. A total of 345 trauma patients underwent surgery, with participants divided into two groups: one receiving bone substitute material (BSM) for augmented defects (n = 192) and the other without augmentation (empty defects = ED, n = 153). Outcome parameters were assessed among female (n = 184) and male (n = 161) patients. Descriptive statistics revealed no significant differences between male and female patients. Approximately one-half of the fractures resulted from high-energy trauma (n = 187). The BSM group experienced fewer complications (p = 0.004), including pseudarthrosis (BSM: n = 1, ED: n = 7; p = 0.02). Among female patients over 65, the incidence of pseudarthrosis was lower in the BSM group (p = 0.01), while younger females showed no significant differences (p = 0.4). Radiologically, we observed premature bone healing with subsequent harmonization. Post hoc power analysis demonstrated a power of 0.99. Augmenting bone defects, especially with bone substitute material, may reduce complications, including pseudarthrosis, in female patients. Additionally, this material accelerates bone healing. Further prospective studies are necessary for confirmation.
Knowledge and attitudes of HIV pre-exposure prophylaxis among nurses in South Africa

Background Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) has shown efficacy and effectiveness in populations who practise high-risk sexual activity. Nurses’ knowledge and positive attitudes enhance PrEP implementation. Aim This study aimed to investigate the knowledge of and attitudes towards PrEP among nurses in primary health care facilities. Setting The study was conducted in 10 health facilities that offer comprehensive services in Tshwane, South Africa. Methods A cross-sectional survey assessed the knowledge of and attitudes towards PrEP among 114 nurses. Univariate, bivariate and logistic regressions were performed to estimate odds ratios and to determine whether age, sex and education had an association with the knowledge and attitudes. Results Majority of the study sample consisted of female nurses (92.1%), and most respondents (68%) had moderate PrEP knowledge. Logistic regression showed that age and education were not associated with high level of knowledge. Pre-exposure prophylaxis was viewed negatively by 84.5% of the respondents. The odds of positive attitudes towards PrEP were 1.92 times higher among males than females (95% CI 0.54–6.83) and 1.24 times higher among nurses who had bachelor’s degree than diploma holders (95% CI 0.51–3.01). Conclusion This study found that there is a need to strengthen the dissemination of information about PrEP, and nurses in South Africa require training to improve their knowledge of and attitudes towards PrEP. Contribution The findings of the study add to the current knowledge base regarding PrEP access in the public healthcare system and it highlights gaps in the training of healthcare providers.
Double U‐Net: Improved multiscale modeling via fully convolutional neural networks

In multiscale modeling, the response of the macroscopic material is computed by considering the behavior of the microscale at each material point. To keep the computational overhead low when simulating such high performance materials, an efficient, but also very accurate prediction of the microscopic behavior is of utmost importance. Artificial neural networks are well known for their fast and efficient evaluation. We deploy fully convolutional neural networks, with one advantage being that, compared to neural networks directly predicting the homogenized response, any quantity of interest can be recovered from the solution, for example, peak stresses relevant for material failure. We propose a novel model layout, which outperforms state‐of‐the‐art models with fewer model parameters. This is achieved through a staggered optimization scheme ensuring an accurate low‐frequency prediction. The prediction is further improved by superimposing an efficient to evaluate U‐net, which captures the remaining high‐level features.
Influence of job satisfaction on SRH and happiness among Korean disabled workers: findings from the panel survey of employment for the disabled 2016–2018

Background An understanding of the economic life activities of persons with disabilities (PWD) is important. Their ability to perform tasks and an increase in their income are more likely to yield an improvement in their Self-Rated Health (SRH) and happiness. However, there is still a lack of understanding of the specific associations among PWD in South Korea. Thus, this study conducted a longitudinal analysis of the association between job satisfaction and SRH, happiness among the Korean PWD. Methods After excluding missing values, data on 1,637 participants at baseline (1st wave) were analyzed using the chi-square test, t-test, Analysis of Variance (ANOVA) and generalized estimating equation (GEE) model for data from 1st to 3rd Panel Survey of Employment for the Disabled (PSED). All analyses were conducted using the SAS statistical software package, version 9.4. Results Compared to very high job satisfaction group, low job satisfaction group was more likely to experience negative SRH [odds ratio (OR): 3.497, value of p: <0.0001] and experience low happiness (B: −0.291, value of p: <0.0001). Furthermore, in terms of the overall satisfaction with current job among the PWD, compared to the ‘very satisfied’ group, ‘very unsatisfied’ group had higher negative SRH (OR: 5.158, value of p: 0.003) and lower happiness (B: −0.327, value of p: <0.0001). Conclusion This study suggests that increasing job satisfaction of PWD possibly leads to decreased negative SRH and to increased happiness, resulting in better SRH and happiness. Furthermore, it suggests the establishment of systemic, policy-oriented measures to enhance the employment opportunities for disabled individuals in Korea and create an inclusive working environment that aligns with their respective job responsibilities.
An Innovative Strategy Based on Secure Element for Cyber–Physical Authentication in Safety-Critical Manufacturing Supply Chain

The accurate tracking of every production step and related outcome in a supply chain is a stringent requirement in safety-critical sectors such as civil aviation. In such a framework, trusted traceability and accountability can be reliably and securely managed by means of blockchain-based solutions. Unfortunately, blockchain cannot guarantee the provenance and accuracy of the stored information. To overcome such a limitation, this paper proposes a secure solution to strongly rely on the tracking information of the physical assets in the supply chain. The proposed solution exploits Hardware Security Modules (HSMs) to provide required cryptographic primitives through a Near-Field Communication (NFC) connection. In our approach, each transfer of the assets is authenticated, verified, and recorded in the blockchain through the HSM. Transaction entries are signed, thus providing a guarantee of ownership and authenticity. The proposed infrastructure has been subject of an exhaustive security analysis and proved resilient against counterfeiting attempts, stakeholder repudiations, and misleading information.
Smallholder Orange Farmers’ Access to Market Information in Muheza District, Tanzania

This study has investigated market information access by smallholder orange farmers in Muheza District, Tanga Region. Specifically, the study sought to examine the extent to which farmers access market information, their sources of information, and whether their age, gender, and level of education influence them. The study used a descriptive research design and a mixed-methods research approach. It involved 103 randomly selected respondents, four key informants and26 focus group discussion participants divided into two groups, each consisting of 13 participants. To analyze quantitative data, SPSS version 21 was used, and chi-square and logistic regression were run to determine the relationship between variables. Qualitative data were analyzed using content analysis. The findings suggest that the majority of the respondents, access limited market information mainly through relatives and friends, meetings, traders, and radio. Also, at a 5percent confidence level, there is a statistically significant association between preferred information sources, gender, and level of education. Furthermore, the findings suggest that respondents with primary education and below are 91.8 percent less likely to have access to market information. Based on these findings, the study recommends that smallholder orange farmers be encouraged to form or join farmers’ associations to enhance their access to market information.
Severe autoimmune hemolytic anemia; epidemiology, clinical management, outcomes and knowledge gaps

Autoimmune hemolytic anemia (AIHA) is an acquired hemolytic disorder, mediated by auto-antibodies, and has a variable clinical course ranging from fully compensated low grade hemolysis to severe life-threatening cases. The rarity, heterogeneity and incomplete understanding of severe AIHA complicate the recognition and management of severe cases. In this review, we describe how severe AIHA can be defined and what is currently known of the severity and outcome of AIHA. There are no validated predictors for severe clinical course, but certain risk factors for poor outcomes (hospitalisation, transfusion need and mortality) can aid in recognizing severe cases. Some serological subtypes of AIHA (warm AIHA with complement positive DAT, mixed, atypical) are associated with lower hemoglobin levels, higher transfusion need and mortality. Currently, there is no evidence-based therapeutic approach for severe AIHA. We provide a general approach for the management of severe AIHA patients, incorporating monitoring, supportive measures and therapeutic options based on expert opinion. In cases where steroids fail, there is a lack of rapidly effective therapeutic options. In this era, numerous novel therapies are emerging for AIHA, including novel complement inhibitors, such as sutimlimab. Their potential in severe AIHA is discussed. Future research efforts are needed to gain a clearer picture of severe AIHA and develop prediction models for severe disease course. It is crucial to incorporate not only clinical characteristics but also biomarkers that are associated with pathophysiological differences and severity, to enhance the accuracy of prediction models and facilitate the selection of the optimal therapeutic approach. Future clinical trials should prioritize the inclusion of severe AIHA patients, particularly in the quest for rapidly acting novel agents.