Miracle-dz/UniFAR-FTUs huggingface dataset:
Overlapping Community Detection via Semi-Binary Matrix Factorization: Identifiability and Algorithms

Community detection is a fundamental problem in knowledge discovery and data mining. In this paper we propose a semi-binary matrix factorization (SBMF) model for community detection, which can be understood as a marriage between <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula>-means clustering and (semi-)nonnegative matrix factorization. This leads to an easy-to-interpret factorization that can naturally handle overlapping communities. Unlike <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula>-means, the proposed approach does not restrict each individual to belong to only a single community, nor does it restrict the sum of “soft membership” values to add up to one. We derive relatively easy-to-check uniqueness conditions suggesting that meaningful communities can be obtained via SBMF. Computing a (least-squares) optimal SBMF is a hard mixed integer nonconvex optimization problem. We bypass this challenge by converting the problem into a coupled matrix-tensor factorization form, which only involves continuous variables and can be tackled using tensor decomposition tools, and can also be used to initialize optimization based methods. We present experiments with real data to demonstrate the effectiveness of the proposed approach for community detection in coauthorship networks and in financial stock market data.
The Correlation between Students' Preferences and English Achievement in Hybrid Learning during Covid-19 Pandemic

The objective of this study was to investigate the correlation between university students’ preferences and their English achievement in hybrid learning. Correlational research design was utilized in this research. The participants of this study were 77 students from three universities in Pekanbaru, Riau. Random sampling technique was applied in choosing the participants in this study. The researcher collected the data of this study through questionnaire and achievement test. Descriptive statistical analysis namely correlation and regression analysis were applying to analyze the quantitative data. The findings revealed that there was a significant correlation between students’ preferences on their English achievement in hybrid learning with p-value 0.000<0.05 and correlation coefficient was 0.723. This result was categorized as a high or strong correlation. In addition, regarding to the results of regression analysis, R square was 0.522 which mean the influence percentage of university students’ preferences to students’ English achievement was 52.2%. The conclusion of this study that there was a strong correlation between students’ preferences in hybrid learning and their English achievement during COVID-19 pandemic.
Risk Factors of Cardiovascular Disease as Predictors of Cardiomotor Profiles in Hispanic-Latinos Living with HIV

Background: People living with HIV are at increased risk of developing cardiovascular disease. Risk factors associated with cardiovascular disease negatively impact cardiovascular and muscular function. Therefore, this study aims to determine if cardiovascular disease risk factors are predictors of cardiomotor profiles in Hispanic-Latinos living with HIV. Subjects: A total of 176 participants were enrolled in this study. There were 134 males and 42 females with a mean age of 53.34 +/- 10.31 years old. Methods: Data was collected retrospectively from people living with HIV in San Juan, Puerto Rico from 2000-2020. Cardiovascular disease risk factors were collected by interview. In addition, the cardiovascular and locomotor components were collected using the Ross submaximal exercise test. Results: Hyperlipidemia was a significant predictor of treadmill time (B= -1.882, p=.034) and heart rate (B= -6.878, p<.001), whereas hypertension was a predictor of heart rate (B= -12.903, p=.026) and systolic blood pressure (B=12.263, p<.001). Hyperlipidemia was also a significant predictor of inclination (B= -1.707, p=.034). In addition, 57.4 % of the sample had at least one cardiovascular disease risk factor. Conclusion: Hyperlipidemia and hypertension should be considered in managing people living with HIV. This study indicated that hyperlipidemia and hypertension negatively affect cardiovascular and locomotor performance during exercise. Clinicians should be aware that exercise tolerance may be reduced in people with HIV and CVD risk factors; therefore, exercise prescription should be tailored and monitored accordingly.
Number recognition development with number card: Single subject research

Mentally retarded is a mental disorder with an intelligence quotient (IQ) between 55-70, besides those mentally retarded children are only able to think concretely. For this reason, learning mathematics for mentally retarded students requires learning media that can bridge abstract mathematical material with the abilities of mentally retarded children who are only able to think concretely. The objective of this study was to improve the recognition of 1-20 numbers using number cards for students with mild mental retardation. The research used is single subject research method with basic design non reversal. Study subjects were selected based on a purposive sampling technique, as the researcher had to look for subjects with mild mental retardation. Data collection techniques use documentation to find out subjects with mild mental retardation characteristics, and tests to determine the subject's ability to recognize numbers 1-20. The results of this study indicate that the number card media can improve the ability of mild mentally retarded students to recognize numbers 1-20. This can be seen from the average in the baseline phase of 39 with a percentage of the ability to recognize numbers of 33.3%, and in the intervention phase of 74.44 with a percentage of the ability to recognize numbers of 88.89%.
Flipped Classroom (FCR) as an Effective Teaching-Learning Module for a Large Classroom: A Mixed-Method Approach

Flipped classroom (FCR) is one of the emerging active teaching-learning methods in the medical profession. Its potential for achieving learning objectives, especially in the scenario of a large classroom, especially in medical schools, has not been convincingly demonstrated. This study was designed to establish FCR model conduction and its overall utility as a teaching-learning methodology for undergraduate medical students in large classroom settings using a mixed-method approach using quantitative (assessment scores) and qualitative criteria (subjective feedback from students and teachers). FCR was conducted for a batch of 170 first-year medical students for a hematology topic. Pre- and post-assessments (based on all the cognitive learning domains) were done to quantify the objective improvement after exposure to the FCR. In addition, subjective feedback from both students and teachers was taken on a validated feedback survey to decipher the qualitative benefits of the FCR. Comparing pre- and post-assessment scores, there was a significant improvement after the FCR session, especially in the low performers. There was optimistic feedback from students and teachers regarding the utility of FCR as a teaching-learning module. FCR as a teaching-learning module was feasible and effective, and the users seemed primarily satisfied. Although there is a higher workload for students and teachers, still FCR is an effective teaching-learning module for a large classroom.
Biometry of the Mahseer Tor tor (Hamilton)

This kind of study is very much essential for solving the race problem of the species. Regarding the race problem Zupanovic (1968) stated, "As it is essential to be able to distinguish between different species, so it is essential to distinguish between the self perpetuating sub-groups within th species. These sub-groups may be equivalent to what taxonomists call sub-species, but they are presumably more generally of lesser rank. In the fIShery literature, they are often called races or populations" f
Heuristic Biases in Mathematical Reasoning.

In this paper we briefly describe the dual process account of reasoning, and explain the role of heuristic biases in human thought. Concentrating on the so-called matching bias effect, we describe a piece of research that indicates a correlation between success at advanced level mathematics and an ability to override innate and misleading heuristic biases. Implications for the importance of teaching and learning mathematics are discussed.
Computer-Aided Design and 3D Printing of Hemipelvic Endoprosthesis for Personalized Limb-Salvage Reconstruction after Periacetabular Tumor Resection

3D-printed hemipelvic endoprosthesis is an emerging solution for personalized limb-salvage reconstruction after periacetabular tumor resection. Further clinical studies are still required to report its surgical characteristics, outcomes, benefits and drawbacks. Sixteen consecutive patients underwent periacetabular tumor wide resection and pelvic reconstruction with a 3D-printed hemipelvic endoprosthesis from 2018 to 2021. The surgical characteristics and outcomes are described. The mean follow-up duration was 17.75 months (range, 6 to 46 months). Five patients underwent surgery for type I + II resection and reconstruction, seven for type II + III resection and reconstruction, three for type II resection and reconstruction, and one for type I + II + IV resection and reconstruction. The incidence of postoperative complication was 12.5% (2/16) for deep venous thrombosis (DVT), 12.5% (2/16) for pneumonia, and 12.5% (2/16) for would deep or superficial infection. During follow-up, two patients (12.5%) suffered hip dislocation and underwent revision surgery. CT demonstrated an obvious prosthetic porous structure–bone fusion after follow-up of at least 6 months. At the final follow-up, 12 lived with no evidence of disease while four lived with disease; no patients experienced pain; and 15 had independent ambulation, with a mean Musculoskeletal Tumor Society (MSTS) score of 85.8% (range, 26.7% to 100%). 3D-printed hemipelvic endoprosthesis facilitates wide resection of periacetabular tumor and limb-salvage reconstruction, thus resulting in good oncological and functional outcomes. The custom-made nature is able to well mimic the skeletal anatomy and microstructure and promote osseointegration. Perioperative complications and rehabilitation exercise still need to be stressed for this engineering technology-assisted major orthopedic surgery.
Frequency, Severity, and Duration of Autonomic Symptoms in Patients of Prodromal Dementia with Lewy Bodies.

BACKGROUND Autonomic dysfunction is supportive clinical feature for diagnosis of prodromal dementia with Lewy bodies (DLB). OBJECTIVE To compare the features of autonomic symptoms in patients with mild cognitive impairment (MCI) due to Lewy bodies (MCI-LB) and Alzheimer's disease (MCI-AD). METHODS Autonomic symptoms were evaluated in the MCI-LB and MCI-AD patients using the Scales for Outcomes in Parkinson's disease for autonomic symptoms (SCOPA-AUT). RESULTS Thirty patients with MCI-LB and 90 patients with MCI-AD were recruited. The frequency of autonomic dysfunction was higher in patients with MCI-LB compared to the MCI-AD patients (80% versus 54.4%, p = 0.013) and the gastrointestinal symptoms were predominant (73.3% versus 35.6%, p < 0.001). Salivation, constipation, incontinence, incomplete emptying, lightheadedness when standing up or standing for some times, diurnal or nocturnal hyperhidrosis, and sexual dysfunction were more severe and protracted in the MCI-LB group compared to the MCI-AD group. CONCLUSION The MCI-LB patients showed higher frequency and severity, as well as longer duration of autonomic symptoms compared to the MCI-AD group. These symptoms can facilitate early diagnosis of patients with DLB.
Aphids and Mycorrhizal Fungi Shape Maternal Effects in Senecio vulgaris

Plant performance in any one generation is affected not only by the prevailing environmental conditions, but also by the conditions experienced by the parental generation of those plants. These maternal effects have been recorded in a many plant species, but the influence of external biotic (as opposed to abiotic) factors on shaping maternal effects have been rarely examined. Furthermore, almost all previous studies have taken place over one plant generation, rather than across multiple generations. Here, we studied the influence of insect herbivory and arbuscular mycorrhizal (AM) fungal colonisation on the shaping of maternal effects in the annual forb Senecio vulgaris. We grew plants with and without aphids (Myzus persicae) and AM fungi (hereafter termed ‘induction events’) over four successive generations, wherein seeds from plants in any one treatment were used to grow plants of the same treatment in the next generation, all in identical environmental conditions. We found strong evidence of maternal effects in the second plant generation, i.e., after one induction event. These plants took longer to germinate, flowered in a shorter time, produced lighter seeds and were shorter and of lower biomass than their parents. Aphid attack tended to enhance these effects, whereas AM fungi had little influence. However, thereafter there was a gradual recovery in these parameters, so that plants experiencing three inductions showed similar life history parameters to those in the original generation. We conclude that experiments investigating maternal effects need to be performed over multiple plant generations and that biotic factors such as insects and mycorrhizas must also be taken into account, along with abiotic factors, such as nutrient and water availability.
Technopreneurship Education: The Way to Rebuild COVID-19 Affected Economy

Technopreneurship is a new mode of entrepreneurship that can help us rebuild the devastated economy. With COVID-19 posing rising unemployment and growth related challenges, technopreneurship can prove to be rewarding by decreasing the burden of government, improving socioeconomic conditions, and creating employment opportunities. Technopreneurship has gained significant traction in Pakistan and successive governments have made considerable efforts to promote this concept. In this regard, universities have been directed to include courses of entrepreneurship and IT in their graduation programs, since universities play a major role in transforming the youth into competent professionals. However, actual technopreneurial activities are still limited. Since the efforts to support technopreneurship are ongoing, the current study tends to evaluate the extent to which educational institutes contribute to these efforts. For this reason, 15 semi-structured interviews were conducted with technopreneurs to take their viewpoint regarding the courses of entrepreneurship and IT taught to them and the role of these courses in their success. Thematic analysis was performed on the collected data. The findings identified that although the courses offered by universities are a motivator for students to adopt technopreneurship as a field, still there exist some significant gaps in teaching methodology and course design. There is a need for additional and latest courses, field-experienced faculty, and the overhauling of the curriculum to create more successful technopreneurs. Suggestions were also provided at the end of the study regarding how educational institutes can strategize to create more technopreneurs in the future. The current study was limited to the vicinity of Lahore, as time and resources were not sufficient to cover other cities. It used a mixture of purposive and snowball sampling techniques which may have impacted the findings, since the individuals in the population did not have an equal chance of being selected for the sample.
Entrepreneurship Education Analysis and Planned Behavior Theory in Triggering Entrepreneurial Intentions Among Students

The purpose of this study was to analyze the Planned Behavior Theory and entrepreneurship education in triggering students' entrepreneurial intentions. This research was conducted at Mercu Buana University. The respondents of this study were students of the Faculty of Economics and Business, with a total sample of 250 student respondents. This study uses quantitative methods. The data collection technique used the snowball technique. Data processing uses a statistical model of Structural Equation Modeling-Partial Least Square (SEM-PLS) with the help of SMART PLS software. The study found that Entrepreneurship education has a significant influence on Attitude Toward Behavior, Subjective Norms, Perceived Behavioral Control and entrepreneurial intentions. Attitude Toward Behavior has a a significant effect on entrepreneurial intentions. Subjective Norms and Perceived Behavioral Control has no significant effect on entrepreneurial intention. Entrepreneurship education with Attitude Toward Behavior, Subjective Norms and Perceived Behavioral Control simultaneously has a moderate influence on entrepreneurial intentions.
The Impact of Customer Satisfaction and Customer Trust to Repurchase Intention in Purchasing Digital Product at the Marketplace

Internet technology in Indonesia is increasing nowadays, especially in e-commerce. With internet users in the third rank in Asia (212.35 million) [1] and the highest e-commerce usage (88.1%) percentage in the world [2]. E-marketplace, as one of the e-commerce types, is a platform that acts as a mediator or creates a bridge between sellers and buyers while doing an online transaction. Not only are physical products sold in the marketplace, but there are also digital products. Digital products are not physical but in the form of electronic. There have been many transactions on purchasing digital products in the marketplace because the price is affordable compared to other platforms. Therefore, this study will analyze the impact of customer satisfaction and customer trust on repurchase intention in purchasing digital products in the marketplace. This study used 246 respondents who have purchased a digital product through a marketplace and live around the Jabodetabek area (Jakarta, Bogor, Depok, Tangerang, Bekasi) in Indonesia in November 2021 with a purposive sampling method. Structural Equation Modelling (SEM) PLS is the statistical method to check three hypotheses with Smart PLS as a tool. This study shows that Customer Satisfaction and Customer Trust variables significantly impact Customer Loyalty, and Customer Loyalty substantially affects Repurchase Intention. Intention.
mu analysis with real parametric uncertainty

The authors give a broad overview, from a LFT (linear fractional transformation)/ mu perspective, of some of the theoretical and practical issues associated with robustness in the presence of real parametric uncertainty, with a focus on computation. Recent results on the properties of mu in the mixed case are reviewed, including issues of NP completeness, continuity, computation of bounds, the equivalence of mu and its bounds, and some direct comparisons with Kharitonov-type analysis methods. In addition, some advances in the computational aspects of the problem, including a branch-and-bound algorithm, are briefly presented together with the mixed mu problem may have inherently combinatoric worst-case behavior, practical algorithms with modes computational requirements can be developed for problems of medium size (<100 parameters) that are of engineering interest. <<ETX>>
Automatic Detection and Assessment of Pavement Marking Defects with Street View Imagery at the City Scale

Pavement markings could wear out before their expected service life expires, causing traffic safety hazards. However, assessing pavement-marking conditions at the city scale was a great challenge in previous studies. In this article, we advance the method of detecting and evaluating pavement-marking defects at the city scale with Baidu Street View (BSV) images, using a case study in Nanjing. Specifically, we employ inverse perspective mapping (IPM) and a deep learning-based approach to pavement-marking extraction to make efficient use of street-view imageries. In addition, we propose an evaluation system to assess three types of pavement-marking defects, with quantitative and qualitative results provided for each image. Factors causing pavement-marking defects are discussed by mapping the spatial distribution of pavement-marking defects at the city scale. Our proposed methods are conducive to pavement-marking repair operations. Beyond this, this article can contribute to smart urbanism development by creating a new road maintenance solution and ensuring the large-scale realization of intelligent decision-making in urban infrastructure management.
Feasibility of Container Shipping on the Northern Sea Route (NSR)

In recent years global container shipping saw few major disrupting events that are likely to challenge container shipping business model. First, COVID-19 epidemic caused a major disruption to the global container shipping industry that became challenged by timely delivery of critical life-saving supplies. As a result of Covid-19, container trade volumes and container port volumes have declined over the first months of 2020 with container ship idling rate reaching 15%. Second, the blockage of the Evergreen mega conmanship vessel at the Suez Canal disrupted the global supply chain. Collectively, these events create a basis for questioning the efficiency of a business model relying only on major shipping corridors and using predominately mega containerships. The purpose of this research is to study container shipping along the Northern Sea Route (NSR), which is positioned as one of the emerging global shipping corridors. The Russian Federation is investing in NSR development and planning to launch a subsidized regular container shipment from the Far East to Murmansk or Saint Petersburg along the NSR on a testing base already this year, 2022. This study aiming at investigating the feasibility of container shipping on the NSR using a business model approach, we map existing and future capabilities of container shipping and public acceptance of such shipping by major players. The authors examine changing institutional environment and conduct a survey of major industry players, academia, administrators, and NGOs. The results of the study contribute to the literature on the NSR feasibility and provide practically relevant information to container shipping industry stakeholders.