Miracle-dz/UniFAR-FTUs huggingface dataset:
The university students enterprises development: Lesson from Indonesia

Abstract Promoting new entrepreneurs face challenges and the government has responded to this issue by stimulating students’ entrepreneurial intention as it directly affects the economy of a nation. The study aims at examining what factors affecting the enterprise development of students in Indonesia. The focus in Indonesia is unique as it experienced a high unemployment rate from university graduates. The data of this research were collected from several state universities in Indonesia through an online survey and was computed undergoing Structural Equation Modelling Partial Least Squares (SEM-PLS). The results of the study indicate that students’ entrepreneurial self-efficacy and entrepreneurial intention can be determined by subjective norms, risk perception, social factors, entrepreneurial education, motivation to a start-up business, and national norms. Additionally, the study confirms that entrepreneurial intention has a robust correlation with self-efficacy as well as students’ preparation for entrepreneurship.
Uncovering Quercetin’s Effects against Influenza A Virus Using Network Pharmacology and Molecular Docking

(1) Background: Re-emerging influenza threats continue to challenge medical and public health systems. Quercetin is a ubiquitous flavonoid found in food and is recognized to possess antioxidant, anti-inflammatory, antiviral, and anticancer activities. (2) Methods: To elucidate the targets and mechanisms underlying the action of quercetin as a therapeutic agent for influenza, network pharmacology and molecular docking were employed. Biological targets of quercetin and target genes associated with influenza were retrieved from public databases. Compound–disease target (C-D) networks were constructed, and targets were further analyzed using KEGG pathway analysis. Potent target genes were retrieved from the compound–disease–pathway (C-D-P) and protein–protein interaction (PPI) networks. The binding affinities between quercetin and the targets were identified using molecular docking. (3) Results: The pathway study revealed that quercetin-associated influenza targets were mainly involved in viral diseases, inflammation-associated pathways, and cancer. Four targets, MAPK1, NFKB1, RELA, and TP53, were identified to be involved in the inhibitory effects of quercetin on influenza. Using the molecular docking method, we evaluated the binding affinity of each ligand (quercetin)–target and discovered that quercetin and MAPK1 showed the strongest calculated binding energy among the four ligand–target complexes. (4) Conclusion: These findings identified potential targets of quercetin and suggest quercetin as a potential drug for influenza treatment.
Multicentric Carpotarsal Osteolysis Syndrome in a Mother and Daughter with a MAFB Missense Variant and Natural History of the Disease

Multicentric carpotarsal osteolysis syndrome (MCTO; MIM #166300) is a rare skeletal disorder characterized by osteolysis affecting particularly the carpal, metacarpal, and tarsal bones, although other bones might be involved. MCTO is an autosomal dominant disease caused by heterozygous variants in the MAFB gene, frequently misdiagnosed as juvenile rheumatoid arthritis due to similar clinical manifestations. This study reports the first Brazilian family diagnosed with MCTO with progressive osteolysis of the carpal and tarsal bones, presenting a c.161C>T (p.Ser54Leu) heterozygous variant in the MAFB gene, describing the clinical, radiological, and molecular findings, compared with literature data, and discussing the different clinical and molecular diagnosis, as well as the natural history of the disease. Since MCTO is a disorder with progressive symptoms, an early diagnosis is important to avoid unnecessary investigations and treatments and to provide the proper follow-up.
Sense of purpose in life, cognitive function, and the phenomenology of autobiographical memory

ABSTRACT There are individual differences in the phenomenological re-experiencing of autobiographical memories. We examine whether sense of purpose in life and cognitive function are associated with the phenomenology of a recent memory related to the coronavirus pandemic. Participants reported on their sense purpose and completed tasks that measured processing speed and visuospatial ability before the pandemic in January-February 2020 and subsequently retrieved and rated a memory related to the pandemic in July 2020 (N=796; M age=58.05, SD=14.14, range 19-85). Participants with a greater sense of purpose reported memories that were more phenomenologically rich (e.g., more vivid, coherent, accessible), whereas cognitive function was primarily related to greater perceived accessibility of the memory but not to most other aspects of phenomenology. The pattern of associations was similar when accounting for depressive symptoms, and none of the associations was moderated by age. The present research suggests that individuals with a higher sense of purpose in life have autobiographical memories with richer phenomenology. To the extent that memories function to sustain well-being, social connections, and cognitive health, rich phenomenology may be one pathway through which purpose leads to these better outcomes.
The Empirical Case for Pretrial Risk Assessment Instruments

Pretrial risk assessment instruments are used in many jurisdictions to inform decisions regarding pretrial release and conditions. Many are concerned that the use of pretrial risk assessment instruments may be contributing to worsened, not improved, pretrial outcomes, including increased rates of pretrial detention and exacerbated racial disparities in pretrial decisions. These concerns have led prominent organizations to reverse their position on the role of pretrial risk assessment instruments in pretrial system change. Reforms that centered on their use have been rolled back or have failed to be implemented in the first place. However, the scientific evidence behind these concerns is lacking. Instead, the findings of rigorous research show that the results of pretrial risk assessment instruments demonstrate good accuracy in predicting new criminal activity, including violent crime, during the pretrial period, even when there are differences between groups defined by race and ethnicity. Furthermore, the scientific evidence suggests they can be an effective strategy to help achieve pretrial system change, including reducing pretrial detention for people of color and white people, alike, when their results are actually used to inform decision-making. In this article, we review the scientific evidence in relation to three primary critiques of pretrial risk assessment instruments, namely, that their results have poor accuracy and are racially biased and that their use increases pretrial detention rates. We also provide recommendations for addressing these critiques to ensure that their use supports, rather than detracts from, the goals of pretrial reform and articulates an agenda for future research.
Multiscale Hydraulic Conductivity Characterization in a Fractured Granitic Aquifer: The Evaluation of Scale Effect

We characterized horizontal hydraulic conductivity (K) of a fractured granitic aquifer using single‐ and cross‐hole hydraulic tests to evaluate “scale effect. ” For selected boreholes, K estimates were obtained using single‐hole FLUTe liner and slug tests. Several cross‐hole pumping tests were carried out at various durations. Drawdown responses were first interpreted using analytical well‐test solutions to obtain an effective horizontal conductivity (Keff) assuming a homogeneous and infinite aquifer. The same drawdowns were then numerically inverted using transient hydraulic tomography (THT) to delineate spatial distributions of K and storativity in the area encompassing the boreholes. Papadopulos (1965) and a nonlinear least squares minimization method produced a similar principal Keff direction that is consistent with the dominant fracture strike observed from outcrop and borehole televiewer data. However, principal direction and magnitude of this Keff depend on the pumping test duration and the number of monitoring boreholes used in the interpretation. As a group, K obtained from cross‐hole tests is larger than that obtained from single‐hole tests. However, because cross‐hole tests stressed the aquifer at both interwell and larger scales, Keff obtained from interpreting cross‐hole data is observed to decrease with pumping time, likely due to the dominance of less permeable fractures at larger scale. This lateral reduction of mean K is also revealed by THT as low K zones surrounding the test boreholes. Overall, K is found to increase from single‐hole to the interwell scale and then decrease at larger scale, exhibiting a non‐monotonic scale effect.
System-Analytical Method of Earthquake-Prone Areas Recognition

Typically, strong earthquakes do not occur over the entire territory of the seismically active region. Recognition of areas where they may occur is a critical step in seismic hazard assessment studies. For half a century, the Earthquake-Prone Areas (EPA) approach, developed by the famous Soviet academicians I.M. Gelfand and V.I. Keilis-Borok, was used to recognize areas prone to strong earthquakes. For the modern development of ideas that form the basis of the EPA method, new mathematical methods of pattern recognition are proposed. They were developed by the authors to overcome the difficulties that arise today when using the EPA approach in its classic version. So, firstly, a scheme for the recognition of high seismicity disjunctive nodes and the vicinities of axis intersections of the morphostructural lineaments was created with only one high seismicity learning class. Secondly, the system-analytical method FCAZ (Formalized Clustering and Zoning) has been developed. It uses the epicenters of fairly weak earthquakes as recognition objects. This makes it possible to develop the recognition result of areas prone to strong earthquakes after the appearance of epicenters of new weak earthquakes and, thereby, to repeatedly correct the results over time. It is shown that the creation of the FCAZ method for the first time made it possible to consider the classical problem of earthquake-prone areas recognition from the point of view of advanced systems analysis. The new mathematical recognition methods proposed in the article have made it possible to successfully identify earthquake-prone areas on the continents of North and South America, Eurasia, and in the subduction zones of the Pacific Rim.
Leaf Spot Attention Networks Based on Spot Feature Encoding for Leaf Disease Identification and Detection

This study proposes a new attention-enhanced YOLO model that incorporates a leaf spot attention mechanism based on regions-of-interest (ROI) feature extraction into the YOLO framework for leaf disease detection. Inspired by a previous study, which revealed that leaf spot attention based on the ROI-aware feature extraction can improve leaf disease recognition accuracy significantly and outperform state-of-the-art deep learning models, this study extends the leaf spot attention model to leaf disease detection. The primary idea is that spot areas indicating leaf diseases appear only in leaves, whereas the background area does not contain useful information regarding leaf diseases. To increase the discriminative power of the feature extractor that is required in the object detection framework, it is essential to extract informative and discriminative features from the spot and leaf areas. To realize this, a new ROI-aware feature extractor, that is, a spot feature extractor was designed. To divide the leaf image into spot, leaf, and background areas, the leaf segmentation module was first pretrained, and then spot feature encoding was applied to encode spot information. Next, the ROI-aware feature extractor was connected to an ROI-aware feature fusion layer to model the leaf spot attention mechanism, and to be joined with the YOLO detection subnetwork. The experimental results confirm that the proposed ROI-aware feature extractor can improve leaf disease detection by boosting the discriminative power of the spot features. In addition, the proposed attention-enhanced YOLO model outperforms conventional state-of-the-art object detection models.
Factors influencing food consumption satisfaction and purchase decisions of restaurant consumers

Abstract This research examined how multi-sensory dimensions like sight, sound, and smell would influence customer attitudes toward quick-service restaurants, restaurant patronage intentions, food purchasing decisions, food consumption satisfaction, restaurant attachment, repurchase intention, and positive word of mouth in South African quick-service restaurants. The research embraced a quantitative approach. An online questionnaire was used to collect data from restaurant customers in the Bloemfontein metropolitan. The hypotheses were analysed by applying structural equation modelling. The results uncovered that the study variables were significantly associated and surprisingly, restaurant attachment had a negative and insignificant effect on positive word of mouth. This research adds new fresh knowledge to the established body of knowledge in the context of restaurant food consumption behaviour. This area has little research attention in developing African countries like South Africa.
Investment decision by using Capital Asset Method Pricing Model (CAPM) (Case studies on five automotive companies listed in stock exchange)

Investment is a tool for investors to get more profit than what has been invested. Investors must be able to predict the possibilities that occur when investing. Capital Asset Pricing Model is a tool to predict the development of investment in a particular company used to calculate and determine the Expected Return in minimizing risk investments. The authors conducted research using a sample of 5 companies in the automotive industry, namely PT Astra International Tbk, PT Indokordsa Tbk, PT Indomobil Sukses Internasional Tbk, PT Astra Otoparts Tbk, and PT Gajah Tunggal Tbk. This study uses a descriptive quantitative approach with Microsoft Excel 2016 analysis tools. This study aims to determine Portfolio Analysis with the Capital Asset Pricing Model (CAPM) approach which is used as the basis for making stock investment decisions in automotive industry sector companies listed on the Indonesia Stock Exchange. Use from the results of the analysis of the results by comparing the value of E(Ri) has a directly proportional relationship, meaning that the higher the value of, then the stock return (E(Ri)) will be high as well. Of the 5 companies, there are 2 companies that are in the Undervalued category and 3 companies that are in the overvalued category. This means that investors who will invest in companies engaged in the automotive industry can decide to buy shares of the companies PT Indomobil Sukses Internasional Tbk and PT Gajah Tunggal Tbk, because they are classified as undervalued. Meanwhile, investors who want to invest in shares are not advised to buy company shares that are in the overvalued category, but are advised to sell them to investors who already have shares in the company.
Recovery of phenotypically normal transgenic potato plants is facilitated by regenerating multiple lines from transformation events: field validation using a cry9Aa2 gene conferring insect resistance

ABSTRACT A modified cry9Aa2 gene under the transcriptional control of the CaMV 35S promoter was transferred to four potato cultivars (‘Iwa’, ‘Karaka’, ‘Pacific’ and ‘Red Rascal’) using Agrobacterium-mediated gene transfer. Field plots were established for 170 independently regenerated transgenic lines derived from 113 transformation events. Phenotypic changes such as stunted plants, reduced vigour and/or leaf puckering, were observed in 29% of these lines. Foliage from the remaining 117 lines inhibited larval growth of potato tuber moth (Phthorimaea operculella Zeller) compared with non-transgenic controls. A high correlation was observed between greenhouse- and field-grown foliage for insect resistance using a detached leaf bioassay. Independently regenerated lines recovered from the same transformation event exhibited similar insect resistance. However, these lines derived from the same transformed cell differed markedly in phenotypic appearance and tuber yield. The first shoot regenerated from each transformation event was equivalent to the non-transgenic control for yield traits in only eight transformation events. A further 19 transformation events exhibited agronomic performance equivalent to the non-transgenic control when the second or subsequent regenerated shoots were evaluated. In clonal crops, multiple shoots from each transformation event should be independently assessed to ensure recovery of high-performing transgenic lines.
TEACHERS’ PERCEPTIONS ON THE IMPLEMENTATION OF FLIPPED CLASSROOM MODEL IN LEARNING WRITING

The flipped classroom is a relatively recent method of the teaching-learning process. Based on the current pandemic of COVID-19, a flipped classroom is one of the suitable learning models to use. It aims to improve student engagement and performance by bringing technology to the teaching-learning process outside of the classroom. However, the flipped classroom model is not widely used in Indonesia. This study discusses instructors' perspectives on using the flipped classroom concept in teaching writing. The subjects of this study were six Senior High School English teachers that used the flipped classroom to teach writing for the twelfth grade of Senior High School. The data were collected by using an open questionnaire and unstructured interview. The researchers provide the data by using a descriptive qualitative approach. This research shows that the flipped classroom is one of the modern learning models with several benefits and facilitates the teacher and the students in the teaching-learning process. The teachers can use the material they have prepared (in videos, PowerPoint, or modules) to teach several classes while the students have an opportunity to be more independent and active in learning because of their high curiosity. Keywords : Flipped Classroom, Writing, Teachers’ Perceptions
The role of context in overcoming distance-related problems in global virtual teams: an organizational discontinuity theory perspective

Abstract Working at a distance has become a hot topic since the outbreak of the COVID-19 pandemic. One type of work unit that naturally faces both physical and social distance is the Global Virtual Teams (GVT). While distance has been debated in the GVT literature, there is still a scarcity of research on how to deal with distance related problems. Guided by organizational discontinuity theory, we explore the effect of individual-level approaches to overcoming physical distance (time zone adjustment) and social distance (trust in peers) in GVTs. In addition, we assess how these mechanisms are affected by the team context in the form of openness to cultural diversity. We do this by studying 23 GVTs (171 team members and 23 team leaders) in the global R&D department of a Danish engineering company. Our findings demonstrate that trust in peers is positively associated with job role clarity and job performance at the individual-level, and that high team openness to diversity, in the case of performance, makes the individual’s level of trust in peers less necessary for achieving performance. Our results also show that time zone adjustment increases job role clarity for the individual team member, but only in GVTs with high openness to cultural diversity. Based on this, we contribute to the organizational discontinuity theory by demonstrating how continuity-creating mechanisms can interact with the team context to ultimately support the individual’s potential for handling distance in GVTs.
Bio-Fertilizers Based on Digestate and Biomass Ash as an Alternative to Commercial Fertilizers—The Case of Tomato

The reutilization of agricultural wastes, as bio-fertilizers, is the key way to close the nutrient cycle and save mineral fertilizers. This hypothesis was verified in three consecutive seasons, treating tomato with three bio-fertilizers on the background of a standard rate of mineral fertilizer. The bio-fertilizers differed in their C:N ratio, which was 13:1, 21:1, and 6:1 for the A, B, and C fertilizers, respectively. They were applied at the rate of 200, 400, 800, and 1600 kg ha−1. The average fruit yield increased in the order: B < C < A. For the relevant fertilizer, the maximum commercial yield was 91, 87, and 101 t ha−1, for a respective rate of 1600, 200, and 400 kg ha−1. The number of fruits (CFN), as the dominant yield component, indirectly reflected the nitrogen (N) supply to plants. A shortage or excess of N on plots treated with the B or C fertilizers, resulted in a decreased CFN, leading to a yield decline. The year-to-year variability in the potassium (K) content reflected fairly well the variable weather conditions, responsible for water management by tomato. The conducted study showed that the tested bio-fertilizers can replace mineral fertilizer, as long as they are applied at well-defined rates.
Online mobile map effect: how smartphone map use impairs spatial memory

ABSTRACT This article examined people’s spatial memory and navigation performance when they learned an environmental route using a smartphone map and a paper map. Our results showed that the use of a smartphone map impaired spatial learning and knowledge acquisition. Specifically, participants learned a route less accurately when they used a smartphone map than when using a paper map, revealed by a worse route retracing performance. Although navigation accuracy decreased for the second, unaided walk after the first walk aided with a smartphone map, participants’ self-evaluation in terms of state anxiety and confidence ratings did not show a statistically significant difference. This suggests that smartphone map users did not perceive the memory impairment caused by the smartphone map use.