Miracle-dz/UniFAR-FTUs huggingface dataset:
Entrepreneurial Behaviour and Intentions among Malaysian Muamalat Students

Entrepreneurship may generate economic growth and prosperity. Developing nations such as Malaysia encourage young people to engage in business and regard it as a career option. It is widely accepted that undergraduates will be a significant source of new entrepreneurial activity. This study aims to gain insight into the behaviour of Islamic Finance (Muamalat) graduates in Malaysia regarding establishing their own businesses. Specifically, this study investigates the factor of Attitude, Entrepreneurial knowledge, Perceived self-efficacy, and Subjective norm in predicting Entrepreneurial intention. One hundred fifty-three (153) undergraduates from a university participated in the research. They are from the Universiti Teknologi Mara (UiTM) Malaysia. The participants were selected using a purposeful sampling strategy since they were specified groups of undergraduates who enrolled in the Islamic Finance (Muamalat) program. In order to obtain statistically meaningful findings, the research uses a non-parametric quantitative technique in conjunction with a PLS-SEM method. This approach has been applied in verifying the constructed theoretical framework, with the goal of identifying significant elements and effects. The finding demonstrated that Attitude, Entrepreneurial knowledge, and Perceived self-efficacy significantly positively affect entrepreneurial intentions. Future research in this area could consider risk-taking propensity and digital competence as factors to assess graduates' intentions to become entrepreneurs.
Lower bounds for uniform constant depth circuits

Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A big advantage of studying Boolean circuits is that they can be viewed as simple combinatorial objects and thus allow us to use many algebraic and combinatorial techniques to derive upper and lower bounds on their computational power. The relationship between Boolean circuits and the traditional Turing machine model helps us to translate the bounds obtained for circuits into bounds for the Turing machine model which is otherwise hard to analyze. In this thesis we study the power of certain kinds of uniform constant depth circuits and provide upper and lower bounds. When we talk about Turing machines, the most important resources are time and space. The most important resources in case of Boolean circuits are size and depth. Circuits that have constant depth and polynomial size have been studied intensely in the last decade or so. The class AC$\sp0,$ consisting of languages accepted by constant depth, polynomial size circuits that have NOT gates, and unbounded fan-in AND and OR gates is very well understood and good lower bounds are known for it. On the other hand, the class ACC, that consists of languages accepted by constant depth, polynomial size circuits that have NOT gates, and unbounded fan-in AND, OR and MOD$\sb{m}$ gates, for various moduli m, is not well understood at all. It is consistent with our knowledge that an ACC circuit family can compute the Satisfiability problem. In this thesis, we prove that we need exponential size to compute the the Permanent function using uniform circuit families that have constant depth and consist of NOT gates, and unbounded fan-in AND, OR and MOD gates. We also show that there are languages in PP and C$\sb=$P that cannot be recognized by uniform ACC type circuits of subsubexponential size. We also study the question of finding a strong separation between NP and AC$\sp0. $ We show that non-relativizing proof techniques result from any answer to the question "Does NP contain sets that are immune to AC$\sp0$? " It is also shown that P$\sp{\rm PP}$ contains sets that are immune to ACC and hence to AC$\sp0. $ Neil Jones introduced logspace reductions as a tool for studying the relative complexity of problems in P. He also introduced a restricted version of logspace reducibility, called logspace bounded rudimentary reductions to study small complexity classes like Dspace(log n). We show that these logspace bounded rudimentary reductions characterize uniform AC$\sp0. $
Diagnostic Utility of TSSC3 and RB1 Immunohistochemistry in Hydatidiform Mole

The general notion of complete hydatidiform moles is that most of them consist entirely of paternal DNA; hence, they do not express p57, a paternally imprinted gene. This forms the basis for the diagnosis of hydatidiform moles. There are about 38 paternally imprinted genes. The aim of this study is to determine whether other paternally imprinted genes could also assist in the diagnostic approach of hydatidiform moles. This study comprised of 29 complete moles, 15 partial moles and 17 non-molar abortuses. Immunohistochemical study using the antibodies of paternal-imprinted (RB1, TSSC3 and DOG1) and maternal-imprinted (DNMT1 and GATA3) genes were performed. The antibodies’ immunoreactivity was evaluated on various placental cell types, namely cytotrophoblasts, syncytiotrophoblasts, villous stromal cells, extravillous intermediate trophoblasts and decidual cells. TSSC3 and RB1 expression were observed in all cases of partial moles and non-molar abortuses. In contrast, their expression in complete moles was identified in 31% (TSSC3) and 10.3% (RB1), respectively (p < 0.0001). DOG1 was consistently negative in all cell types in all cases. The expressions of maternally imprinted genes were seen in all cases, except for one case of complete mole where GATA3 was negative. Both TSSC3 and RB1 could serve as a useful adjunct to p57 for the discrimination of complete moles from partial moles and non-molar abortuses, especially in laboratories that lack comprehensive molecular service and in cases where p57 staining is equivocal.
On the (almost) stochastic dominance of cryptocurrency factor portfolios and implications for cryptocurrency asset pricing

Cryptocurrency returns are highly nonnormal, casting doubt on the standard performance metrics. We apply almost stochastic dominance, which does not require any assumption about the return distribution or degree of risk aversion. From 29 long – short cryptocurrency factor portfolios, we find eight that dominate our four benchmarks. Their returns cannot be fully explained by the three ‐ factor coin model of Liu et al. So we develop a new three ‐ factor model where momentum is replaced by a mispricing factor based on size and risk ‐ adjusted momentum, which significantly improves pricing performance
Risk Factors for Falls and Fall-Related Fractures in Community-Living Older People with Pain: A Prospective Cohort Study

(1) Background: This prospective study aimed to identify predictors of falls and fall-related fractures in community-dwelling older people with pain; (2) Methods: Participants comprised 389 community-dwelling older people aged 70+ years who had musculoskeletal pain in the neck, back, hip, leg/knee and/or feet. Demographic, anthropometric, balance, mobility, cognitive function, psychological status and physical activity level measures were obtained at baseline. Falls were monitored with monthly falls calendars for 12 months. Logistic regression analyses were performed to identify predictors of falls and fall-related fractures during a 12-month follow-up; (3) Results: Of the 389 participants, 175 (45.0%) and 20 (5.1%) reported falls and fall-related fractures during the 12-month follow-up, respectively. Greater postural sway on foam, more depressive symptoms and lower physical activity levels at baseline were associated with falls during the 12-month follow-up. Slower walking speed at baseline was associated with fall-related fractures during the 12-month follow-up. These associations remained significant after adjusting for age, sex, body mass index, comorbidities and medication use; (4) Conclusions: This study suggests poor balance, low mood and a less active lifestyle are predictors of falls, and slower walking speed predicts fall-related fractures among community-dwelling older people with pain.
Exploring Foreign Language Learning Motivation

Motivation is crucial for second language (SL) learners. Motivation is an important factor in second foreign language learning. It alludes to a psychological propensity for learning foreign languages. The motivation of second language learners is examined in this work by categorizing motivation, outlining the motivational variables in L2 learning, and concentrating on the various motivational types. This paper divided second language motivation (SLM) into four parts: Internal and external motivation; Integrative and instrumental motivation; General motivation and specific motivation and other motivations. Finally, the paper draws on some recent ideas about the nature of the concept.
Stabilisation of Spent Wash by Polyhydroxybutyrate (PHB) Producing Microorganisms Isolated from Karad Region, Maharashtra

In recent years, there has been a significant increase in the needs of the overgrowing population. Naturally, industrial belts increased worldwide to satisfy the variety and quantity of needs. While producing the products, a huge quantity of waste is generated and added continuously to the environment, causing hazardous effects on the flora and fauna. Spent wash is one of the most important types of industrial waste since it is the liquid waste that is left over after making alcohol and it pollutes the environment. Despite effluent quality standards, untreated or partially treated sewage frequently enters water courses or soils. It is always overloaded with organic and inorganic substances. The stabilization of the effluent by microorganisms is reflected in the form of COD reduction. The present study attempted to isolate the PHB-producing organisms and use them to stabilize the spent wash. The locally isolated, characterized, and identified 11 PHB-producing microorganisms from the Karad region of Maharashtra were used to stabilize spent wash. They include Candida orthopsilosis, Bacillus subtilis, Bacillus cereus, Bacillus megaterium, Klebsiella grimontii, Citrobacter fruendii, and members of Staphylococcus and Rhodococcus. All potential organisms were reported to stabilize the spent wash. The degree of stabilization was measured in terms of the percent reduction of COD and BOD. The % reduction was reported at 95.31% and 81.39% of COD and BOD, respectively, by Klebsiella grimontii, followed by 92.18% and 80.46% reductions of COD and BOD, respectively, by Staphylococcus. These organisms are promising in the treatment of spent wash.
Dual multiplier Banach algebras and Connes-amenability

Following M. Daws, we consider a Banach algebra B for which the multiplier algebra M(B) is a dual Banach algebra in the sense of V. Runde, and show that under certain continuity condition, B is amenable if and only if M(B) is Connesamenable. As a result, we conclude that for a discrete amenable group G, the Fourier– Stieltjes algebra B(G) is Connes-amenable if and only if G is abelian by finite.
Chaos in a feedback Fabry-Perot interferometer

A novel hybrid chaotic system composed of a laser diode source and a Fabry-Perot interferometer with an electrical feedback is proposed. The delayed-differential equation describing the system input-output relation is derived and studied by numerical simulations. The instability of the output power from the laser diode is investigated experimentally and its behavior is proved to be chaotic. The comparison between the theoretical analysis and the experimental results shows good agreement. >
Enhanced Cerebral Hemodynamics and Cognitive Function Via Knockout of Dual-Specificity Protein Phosphatase 5

Alzheimer’s Disease (AD) and Alzheimer’s Disease-Related Dementias (ADRD) are neurodegenerative disorders. Recent studies suggest that cerebral hypoperfusion is an early symptom of AD/ADRD. Dual-specificity protein phosphatase 5 (DUSP5) has been implicated in several pathological conditions, including pulmonary hypertension and cancer, but its role in AD/ADRD remains unclear. The present study builds on our previous findings, demonstrating that inhibition of ERK and PKC leads to a dose-dependent dilation of the middle cerebral artery and penetrating arteriole, with a more pronounced effect in Dusp5 KO rats. Both ERK and PKC inhibitors resulted in a significant reduction of myogenic tone in vessels from Dusp5 KO rats. Dusp5 KO rats exhibited stronger autoregulation of the surface but not deep cortical cerebral blood flow. Inhibition of ERK and PKC significantly enhanced the contractile capacity of vascular smooth muscle cells from both strains. Finally, a significant improvement in learning and memory was observed in Dusp5 KO rats 24 hours after initial training. Our results suggest that altered vascular reactivity in Dusp5 KO rats may involve distinct mechanisms for different vascular beds, and DUSP5 deletion could be a potential therapeutic target for AD/ADRD. Further investigations are necessary to determine the effects of DUSP5 inhibition on capillary stalling, blood-brain barrier permeability, and neurodegeneration in aging and disease models.
Sirtuin Inhibitor Cambinol Induces Cell Differentiation and Differently Interferes with SIRT1 and 2 at the Substrate Binding Site

Epigenetic mechanisms finely regulate gene expression and represent potential therapeutic targets. Cambinol is a synthetic heterocyclic compound that inhibits class III histone deacetylases known as sirtuins (SIRTs). The acetylating action that results could be crucial in modulating cellular functions via epigenetic regulations. The main aim of this research was to investigate the effects of cambinol, and its underlying mechanisms, on cell differentiation by combining wet experiments with bioinformatics analyses and molecular docking simulations. Our in vitro study evidenced the ability of cambinol to induce the differentiation in MCF-7, NB4, and 3T3-L1 cell lines. Interestingly, focusing on the latter that accumulated cytoplasmic lipid droplets, the first promising results related to the action mechanisms of cambinol have shown the induction of cell cycle-related proteins (such as p16 and p27) and modulation of the expression of Rb protein and nuclear receptors related to cell differentiation. Moreover, we explored the inhibitory mechanism of cambinol on human SIRT1 and 2 performing in silico molecular simulations by protein–ligand docking. Cambinol, unlike from other sirtuin inhibitors, is able to better interact with the substrate binding site of SIRT1 than with the inhibition site. Additionally, for SIRT2, cambinol partially interacts with the substrate binding site, although the inhibition site is preferred. Overall, our findings suggest that cambinol might contribute to the development of an alternative to the existing epigenetic therapies that modulate SIRTs.
Effects of individual strategies for resource access on collaboratively maintained irrigation infrastructure

Built infrastructure for water and energy supply, transportation, and other such services underpins human well‐being and socioeconomic development. A fundamental understanding of how infrastructure design and user strategies interact can guide important design decisions as well as policy formulation for ensuring long‐term infrastructure viability in conjunction with improved individual user benefits. In this work, an agent based model (ABM) is developed to study this issue for the specific case of irrigation canals. Cooperatively maintained irrigation canals serve essential roles in sustaining agriculture‐based economies in many regions. Canal system design can strongly affect benefits derived by distributed users, regional agricultural output, and the long‐term viability of the shared infrastructure itself. Here, an ABM is used to investigate how an option to use an independent water source interacts with canal design to affect canal maintenance cooperation and farmer income. The independent water source is stylized as a well that provides access to groundwater and represents a strategically robust design option; a design option that reduces the implementer's utility vulnerability to unfavorable actions by other actors. Research in other systems has demonstrated that strategically robust designs can improve both implementer utility and the probability of collaboration. The results of this research, in contrast, demonstrate that the option of individual resource access, the strategically robust design option, as represented by a well, reduces cooperative maintenance in most cases. However, wells also improve farmer income, especially for downstream farmers that are most affected by water theft.
Nuclear Inst. and Methods in Physics Research, B

Nuclear Data Production System (NDPS), a fast neutron facility for nuclear science and applications, was constructed at the Rare Isotope Accelerator complex for ON-line experiments (RAON) in Korea. NDPS is designed to provide both white and quasi-monoenergetic neutrons using 98 MeV deuteron and 20 – 83 MeV proton beams with thick graphite and thin lithium targets, respectively. Neutron energy is determined by employing the Time-Of-Flight (TOF) technique, along with a pulsed deuteron (or proton) beam with a repetition rate of less than 200 kHz. Fast neutrons are produced in the target room and are guided to the TOF room through a 4 m long neutron collimator consisting of iron and 5% borated polyethylene. The neutron beam is monitored using a parallel plate avalanche counter (PPAC) and a micro-mesh gaseous (MICROMEGAS) detector installed in the TOF room, so as to measure the energy and the position of neutrons.
Who Is Attending? The Role of Child Ethnicity and Maternal Demographics in Research Engagement and Early Identification of Autism

Inequitable access to early autism developmental surveillance is evident globally. However, there is limited research examining autism diagnosis, ethnicity, and community profiles when engaging in research for the early identification of autism. We aimed to understand the relationships between child ethnicity, maternal demographics, and autism diagnosis, comparing retrospective data from the 2016 census for eight local government areas (LGAs) in Victoria, Australia. Maternal and child health (MCH) nurses monitored 13,511 children under 42 months for the early signs of autism using the Social Attention Communication Surveillance-Revised (SACS-R) and SACS-R Preschool (SACS-PR) tools during well-child checks. Of these, 340 children with a “high likelihood” of autism attended developmental assessments. Participants’ maternal ethnicity (‘European maternal ethnicity’, EME; ‘non-European maternal ethnicity,’ N-EME; ‘mixed maternal ethnicity,’ MME’), socioeconomic factors, and autism prevalence were compared to their LGA community. Results indicated that study participants were representative of their LGA communities, though bi- and multilingualism was higher in our cohort. Differences in current maternal employment, maternal education, annual family income, and autism prevalence were found between the N-EME, EME, and MME groups. Our study found that research engagement was driven by maternal education, maternal employment, and annual family income, and further research is required to understand these relationships.
Structure-borne noise of steel and concrete box girders in an urban metro system: A hybrid evaluation and parametric study

Metro systems provide an efficient, convenient, and expeditious way to travel around crowded routes. Because these systems are established in cities, residential buildings close to metro viaducts are significantly affected by structure-borne noise (SBN). Although most previous studies developed SBN prediction with a focus on the accuracy and computational efficiency of a specific bridge type, only limited studies on parameters for the SBN on bridges were carried out. Thus, eliminating SBN is still a challenging task for both the design and operation phases of bridge design. Therefore, this study integrates simplified experiments with numerical analyses to evaluate the influential parameters on the structure-borne noise level (SBNL) for two types of bridge girders, that is, the double-box pre-stressed concrete girder and the double-box steel girder. The present study also proposes an optimization method for reducing the SBNL in the bridge design and operation phases and identifies the sources of SBN for these two types of bridges. In this paper, the solutions to mitigating SBN are first reviewed and briefly introduced. Theories associated with SBN are then derived and experimentally verified using a concrete or steel plate with a unit area. A hybrid evaluation method is developed to integrate transient finite-element simulation with experimental results, and the main sources (e.g., plate thickness, train speed, fastener stiffness, and track irregularity) that induce SBN are examined by this hybrid method. Consequently, the approach to resolving the SBN problem can be optimally determined. As demonstrated in the results from the hybrid evaluation method, the track condition dominates the SBNL for both types of bridges, and the relationship between train speed and plate eigenfrequency should be carefully investigated to avoid the effect of plate resonance. The pre-stressed concrete box girder is the recommended bridge type for use in urban areas from the viewpoint of minimizing the SBNL.
An approximate‐state Riemann solver for the two‐dimensional shallow water equations with porosity

PorAS, a new approximate‐state Riemann solver, is proposed for hyperbolic systems of conservation laws with source terms and porosity. The use of porosity enables a simple representation of urban floodplains by taking into account the global reduction in the exchange sections and storage. The introduction of the porosity coefficient induces modified expressions for the fluxes and source terms in the continuity and momentum equations. The solution is considered to be made of rarefaction waves and is determined using the Riemann invariants. To allow a direct computation of the flux through the computational cells interfaces, the Riemann invariants are expressed as functions of the flux vector. The application of the PorAS solver to the shallow water equations is presented and several computational examples are given for a comparison with the HLLC solver. Copyright © 2009 John Wiley & Sons, Ltd.
Telenursing in mental health: effect on anxiety symptoms and alcohol consumption during the COVID-19 pandemic

Objective: to investigate the effect of a remote intervention on anxiety symptoms and alcohol use in users of the Primary Health Care service. Method: a quasi-experimental study conducted with 1,270 participants who answered the Alcohol Use Disorders Identification Test and the State-Trait Anxiety Inventory-6. Of these, 1,033 interviewees scored for moderate/severe anxiety symptoms (STAI-6 > 3) and moderate/severe risk alcohol use (AUDIT-C > 3), and received the interventions via telephone calls with follow-up periods lasting seven and 180 days. For data analysis, a mixed-effects regression model was used. Results: the effect of the intervention performed was positive in reducing anxiety symptoms between T0 and T1 (µ=1.6, p<0.001) and in reducing the alcohol use pattern between T1 and T3 (µ=1.57, p<0.001) Conclusion: the follow-up results suggest a positive effect of the intervention in reducing anxiety and the alcohol use pattern, which tends to be maintained over time. There is diverse evidence that the intervention proposed can be an alternative for preventive care in mental health, in situations where accessibility of the user or the professional is compromised.