Miracle-dz/UniFAR-FTUs huggingface dataset:
Confirmatory Factor Analysis

Increasing unemployment rate and creation of new jobs are most important issues around the world recently. Then many developed countries, including Republic of Korea, establish and enforce a variety of start-up activation policies to increase employment rate and boom up the national economy. Establishing linkage of entrepreneurship motivation, entrepreneurship, entrepreneurial intention and firm performance, focusing on potential entrepreneurs and entrepreneur, it could provide personalized and targeted entrepreneurial policy programs to increase entrepreneurship, because entrepreneurship is the most important factor to activate startups. On this study, it established factors of entrepreneurial motivation on potential entrepreneurs and entrepreneurs, and analyzed the linkage of factors of entrepreneurial motivation, entrepreneurship, entrepreneurial intention(potential entrepreneurs) and firm performance(entrepreneurs). For analysis, this study conducted descriptive statistics, reliability analysis, factor analysis to verify validity, correlation analysis, and regression to analyze influence between factors. Potential entrepreneurs group has 202 samples, and findings show self-efficacy, social network, economic status and government policy influence on entrepreneurship positively. And self-efficacy, startup education, economic status and government policy have a positive effect on entrepreneurial intention, too. Entrepreneurs group has 212 samples, and findings show self-efficacy, social network and economic status influence on entrepreneurship. And each linkage has a positive effect, that self-efficacy - financial and non-financial performance, startup education financial and technological performance, social network - financial performance, economic status - financial and non-financial performance, and government policy - financial and technological performance.
When the Wind Blows: Incumbents’ Sourcing Strategies for Wind Power

While extant research on sustainability transitions discusses how innovations are nurtured in protective market spaces before causing change in established industries, we know less about how characteristics of these protective market spaces, policy, and resource endowments impact incumbents’ sustainability transition pathways for a new technology. We distinguish between incumbents’ choice to embrace innovation by contracting for wind power or direct ownership of windfarms. We contribute to recent calls in the literature to open the “black box” surrounding the heterogeneity in incumbents’ responses to sustainability transitions. In a sample of 801 windfarm transactions over a 14-year-time period (2004–2017), we find that characteristics of protective market spaces affect incumbents’ response: incumbents facing less experienced niche actors (windfarm developers) and acquiring greater capacities of the innovation (wind power) are more likely to own a windfarm than contract for wind power. Moreover, if the innovation has greater physical distance from incumbents’ operations, ownership is the incumbent's likely response to innovation. As policies for the innovation persists, incumbents are more likely to own a windfarm than contract for wind power. However, that relationship is weakened for firms more established in existing technologies. We contribute to the literature by demonstrating that market characteristics and policy impact heterogeneity in incumbents’ sustainability transitions.
Prevalence of Extended Spectrum Beta Lactamase producing Escherichia coli and Klebsiella spp. from urinary specimen in a tertiary care hospital

Escherichia coli and Klebsiella spp. are two important uropathogens showing resistance to beta-lactams by producing extended spectrum beta lactamase (ESBL), leading to difficulty in treating infections with these bacteria. Majority of the ESBLs are of TEM, CTXM and SHV types reported from Nepal. This study was conducted in Clinical Microbiology Department of Nepal Medical College Teaching Hospital from November 2021 to mid-January 2022 to determine prevalence of ESBL and antimicrobial susceptibility pattern among two common uropathogens. A total of 402 E. coli and Klebsiella spp. isolated from urine samples were included in the study. ESBL producing strains were identified by combination disc method and antibiotic susceptibility testing was done by Kirby Bauer’s disc diffusion method. PCR was done to detect the TEM and CTXM genes. Prevalence of ESBL among E. coli and Klebsiella spp. was found to be 14.9% (60/402). Among the E. coli, 16.1% (58/360) and only 4.8% (2/42) of Klebsiella spp. were ESBL producers. Antibiogram showed, 56.7% ESBL producers were susceptible to ciprofloxacin, 46.7% to co-trimoxazole, 96.7% to nitrofurantoin. However, all isolates were susceptible to amikacin, piperacillin-tazobactam, and carbapenems (both meropenem and imipenem). Among total 30 ESBL isolates selected by systematic random sampling, 3 isolates (all three E. coli) showed presence of TEM and 3 other isolates (two E. coli and one Klebsiella spp.) showed CTXM genes.
Multidimensional Frailty and Vaccinations in Older People: A Cross-Sectional Study

It is known that influenza, herpes zoster, pneumococcal and pertussis infections may increase morbidity and mortality in older people. Vaccinations against these pathogens are effective in older adults. Frailty seems to be an important determinant of vaccination rates, yet data supporting this association are still missing. Therefore, we aimed to investigate the prevalence of four recommended vaccinations (influenza, herpes zoster, pneumococcal and diphtheria-tetanus-pertussis) and the association with multidimensional frailty assessed using a self-reported comprehensive geriatric assessment tool, i.e., the multidimensional prognostic index (SELFY-MPI). Older participants visiting the outpatient clinic of Azienda Ospedaliera Universitaria, Palermo, Italy were included. The SELFY-MPI questionnaire score was calculated based on eight different domains, while the vaccination status was determined using self-reported information. We included 319 participants from the 500 initially considered (63.8%). Vaccination against influenza was observed in 70.5% of the cases, whilst only 1.3% received the vaccination against diphtheria-tetanus-pertussis. Participants with higher SELFY-MPI scores were more likely to report vaccination against pneumococcus (45.6 vs. 28.3%, p = 0.01), whilst no significant differences were observed for the other vaccinations. In conclusion, the coverage of recommended vaccinations is low. Higher SELFY-MPI scores and vaccination status, particularly anti-pneumococcus, appear to be associated, but future studies are urgently needed for confirming that frailty is associated with vaccination status in older people.
PERILAKU SUPPORTER SEPAKBOLA PSIM YOGYAKARTA PSIM's SUPPORTER BEHAVIOUR

This study aims to investigate the behavior of PSIM’s (Perserikatan Sepakbola Indonesia Mataram) supporters. This study used qualitative methods with case study approach. Informants used in this study consist of three members of Brajamusti board and three members of the Maident board. For the triangulation, in this study the Brajamusti President, Chairman of The Maident, and two police officers were interviewed. The results showed that Brajamusti and The Maident are behave fanatic in providing support to PSIM, so that often cause fights between supporters. Factor that cause the broken of Brajamusti is political that made by certain parties for political interests. The positive impact of these two groups of supporters are their contribution for buying tickets in every time they watch PSIM, so it can be a financial support. While the negative impact of the two groups of supporters are the unfair competition between them that makes support for PSIM become obscured.
Seaweed Inclusion in Finishing Lamb Diet Promotes Changes in Micronutrient Content and Flavour-Related Compounds of Raw Meat and Dry-Cured Leg (Fenalår)

Innovative feeding strategies tend to improve the quality properties of raw material and dry-cured products. In the present study, Norwegian White female lambs (n = 24) were finished during 35 days on three different diets: control (CD), control supplemented with seaweed (5% DM) (SD), and pasture (PD). The quality of raw meat (Semimembranosus + Adductor) and deboned dry-cured lamb leg (fenalår; n = 24) was studied. The heme, SFA, MUFA, and PUFA content in raw meat was not affected with finishing diet. The SD significantly increased the selenium, iodine, and arsenic content in raw meat and in the dry-cured leg the iodine and arsenic. The dry-cured leg from SD-lamb had the highest amount of iodine with 130 µg I/100 g which corresponds to 60% of Adequate Intake. Aldehydes, ketones, and esters in raw meat and dry-cured lamb leg were significantly affected by finishing diet; CD showed increased esters in raw meat and aldehydes in the dry-cured leg compared to SD and PD. The significantly higher content of simple sugars, mannose being the most dominant, was found in the dry-cured leg from SD-lamb compared to CD and PD. Finishing diets had no effect on the taste profile of dry-cured lamb leg. This study showed the potential of seaweed in iodine biofortification of lamb meat and dry-cured products. Iodine-rich meat products should reduce iodine-deficiency among humans.
Centralized Optimal Operations of Local Energy Trading Market in Distribution System

A local energy trading market (LETM) is a promising market for prosumers who have a photovoltaic (PV) system and want to make a lot of money. When it comes to PV power; however, there are still challenges in market operations. Moreover, the role of a distribution system operator (DSO) in the LETM has not yet been investigated for the centralization of operations to reserve power for PV power uncertainty. Consequently, this paper aims to investigate the effects of PV power uncertainty on the settlement process by proposing centralized optimal operations of the LETM. Furthermore, the DSO is tasked with determining a distribution locational marginal price at each bus in the distribution system, besides analyzing the bus voltage and line current limits. When power is exchanged, the DSO must reserve power to account for the uncertainty of PV power to recover the power balance. The proposed method is formulated as an optimization problem, to maximize the difference between buyers’ and sellers’ total operating costs, because this maximum value could reflect the maximum benefit obtained by each market participant. Additionally, the proposed method’s effectiveness is demonstrated on a typical low-voltage distribution system in Thailand. The simulation results show that the total benefit of market participants with PV power uncertainty is reduced, whereas that of the DSO is increased. This implies that prosumers will miss out on a lucrative opportunity if they do not improve their forecasting system.
An Attention-Based Lattice Network for Hyperspectral Image Classification

Convolutional neural networks (CNNs) with 3-D convolutional kernels are widely used for hyperspectral image (HSI) classification, which bring notable benefits in capturing joint spectral and spatial features. However, they suffer from poor computational efficiency, causing the low training/inference speed of the model. On the contrary, CNN-based methods with 1-D and 2-D kernels are efficient but mostly restricted to extracting either spectral or spatial features. Moreover, most CNN-based HSI classification frameworks are incapable of simultaneously taking advantage of residual and dense aggregations without over-allocating parameters or information loss for feature reusage. This article presents a novel attention-based lattice network (ALN) to overcome these shortcomings. The proposed 2-D lattice framework can effectively harness the advantages of residual and dense aggregations to achieve outstanding accuracy performance and computational efficiency simultaneously. Furthermore, the ALN employs a unique joint spectral–spatial attention mechanism to capture both spectral and spatial information effectively. In particular, a new pointwise spectral attention mechanism is adopted to fully capture spectral dependences for every pixel. Our extensive experimental investigation verifies the effectiveness and efficiency of the ALN architecture for HSI classification.
Financial advice, financial literacy and social interaction: what matters to retirement saving decisions?

ABSTRACT We analyze the effect of financial advice, financial literacy and social interaction on households’ retirement saving decisions. Financial advice is the only factor that positively influences individuals’ decisions to participate in a retirement plan, while only financial literacy increases risky asset allocation. These two important factors both influence the ultimate retirement account balance. Viewed collectively, we propose that financial advice and financial literacy benefit retirement saving decisions through different channels, they complement each other and they jointly lead to a better ultimate outcome. The evidence is consistent when we further consider quality of advice and self-rated financial literacy. However, social interaction is of little help in facilitating better retirement saving decisions.
Quantitative Assessment of Airway Changes in Fibrotic Interstitial Lung Abnormality Patients by Chest CT According to Cumulative Cigarette Smoking

Purpose: The aim of this study was to evaluate the role of Pi10 in patients with fibrotic interstitial lung abnormality (fibrotic ILA) in a chest CT, according to cumulative cigarette smoking. Methods: We retrospectively assessed 54 fibrotic ILA patients and 18 healthy non-smokers (control) who underwent non-enhanced CT and pulmonary function tests. We quantitatively analyzed airway changes (the inner luminal area, airway inner parameter, airway wall thickness, Pi10, skewness, and kurtosis) in the chest CT of fibrotic ILA patients, and the fibrotic ILA patients were categorized into groups based on pack-years: light, moderate, heavy. Airway change data and pulmonary function tests among the three groups of fibrotic ILA patients were compared with those of the control group by one-way ANOVA. Results: Mean skewness (2.58 ± 0.36) and kurtosis (7.64 ± 2.36) in the control group were significantly different from those of the fibrotic ILA patients (1.89 ± 0.37 and 3.62 ± 1.70, respectively, p < 0.001). In fibrotic ILA group, only heavy smokers had significantly increased Pi10 (mean increase 0.04, p = 0.013), increased airway wall thickness of the segmental bronchi (mean increase 0.06 mm, p = 0.005), and decreased lung diffusing capacity for carbon monoxide (p = 0.023). Conclusion: Pi10, as a biomaker of quantitative CT in fibrotic ILA patients, can reveal that smoking affects airway remodeling.
Heat Transfer of Winglet Tips in a Transonic Turbine Cascade

Understanding the heat transfer of winglet tips is crucial for their applications in highpressure turbines. The current paper investigates the heat transfer performance of three different winglet-cavity tips in a transonic turbine cascade at a tip gap of 2.1% chord. A cavity tip is studied as the baseline case. The cascade operates at engine representative conditions of an exit Mach number of 1.2 and an exit Reynolds number of 1.7-106. Transient infrared thermography technique was used to obtain the tip distributions of heat transfer coefficient for different tips in the experiment. The CFD results were validated with the measured tip heat transfer coefficients, and then used to explain the flow physics related to heat transfer. It is found that on the pressure side winglet, the flow reattaches on the top winglet surface and results in high heat transfer coefficient. On the suction side winglet, the heat transfer coefficient is low near the blade leading edge but is higher from the midchord to the trailing edge. The suction side winglet pushes the tip leakage vortex further away from the blade suction surface and reduces the heat transfer coefficient from 85% to 96% span on the blade suction surface. However, the heat transfer coefficient is higher for the winglet tips from 96% span to the tip. This is because the tip leakage vortex attaches on the side surface of the suction side winglet and results in quite high heat transfer coefficient on the front protrusive part of the winglet. The effects of relative endwall motion between the blade tip and the casing were investigated by CFD method. The endwall motion has a significant effect on the flow physics within the tip gap and near-tip region in the blade passage, thus affects the heat transfer coefficient distributions. With relative endwall motion, a scraping vortex forms inside the tip gap and near the casing, and the cavity vortex gets closer to the pressure side squealer/winglet. The tip leakage vortex in the blade passage becomes closer to the blade suction surface, resulting in an increase of the heat transfer coefficient.
Youth and their Knowledge on the Sustainable Development Goals (SDGs)

The Sustainable Development Goals (SDGs) under the United Nations (UN) have highlighted the youth as the stakeholders. Their knowledge of the triple bottom line of sustainability (economic, social, and environmental) is a prerequisite for SDG accomplishment. This paper investigates the level of SDGs knowledge among university youth. It was discovered that youth at the Universiti Teknologi MARA (UiTM), Malaysia have a moderate understanding of SDGs and need to be attentive to environment-related SDGs. They were exposed to SDGs by educational institutions and various media platforms. The findings are relevant to SDG-related policy-making and enrich the existing literature. Keywords: SDGs ; Youth ; Higher Education ; Malaysia eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i19. 3240
Team and Task Dynamics in Healthcare and Professional Service Operations

This thesis examines how team, task and workforce dynamics affect performance on healthcare and professional service operations. I use operations management and organizational domains to develop theories and employ econometric models to better understand knowledge intensive environments. In the first chapter I use data from Coronary Artery Bypass Graft operations in order to examine the way exposure to related variety can affect individual learning. Specifically, I introduce timing as a new dimension on the effect of related variety on individual productivity on a focal task and show that exposure to variety can have differentiated effects on individual productivity based on different mechanisms. My findings suggest that concurrent exposure with the focal task has a positive effect whereas non-concurrent one has a negative effect on individual focal productivity. I also introduce recent concurrent and non-concurrent exposures as moderating factors on the effect of long-term concurrent and nonconcurrent exposures respectively on individual learning. In the second chapter I focus on cardiac surgery teams and examine the effect of team allocation on their productivity. Specifically, I introduce new familiarity related concepts and ways on how past common experiences among team members can affect team productivity. Next, I divide average team familiarity into two components: One gained from complex and one gained from simpler tasks and show their differentiated effects on team productivity. I also investigate the way average team familiarity interacts with task complexity. In the final chapter, I use a dataset from England’s National Health Service (NHS)’s 111 non-emergency helpline in order to investigate the effect of non-clinical labor mix on efficiency and quality of patient service. My results indicate that while non-clinical workforce increases the efficiency of patient service, it may lead to new inefficiencies through misuse of critical resources and may reduce the quality outcome of the patient service.
The Role of Competitiveness Mechanism Protection of Marketing Performance: Resource-Advantage Theory Perspective

The study aims to determine the conceptual and empirical flow of inconsistencies in entrepreneurial, creative relationships on marketing performance centred on protecting competitiveness mechanisms. This conception is built to explore the critical role of protecting the competitiveness mechanisms of entrepreneurial creativity and product innovativeness. Optimization of post-pandemic marketing performance requires creativity and innovativeness and the importance of safeguarding competitiveness mechanisms. Seven hypotheses were developed and tested with the SEM-PLS technique in a sample frame of 230 MSMEs in Central Java, Indonesia. The study's findings contribute to the protection of competitiveness mechanisms conceptually, both empirically and practically. First, directly entrepreneurial creativity has a positive impact. On the contrary, there is a negative relationship of products innovatively in marketing performance. Second, the protection of competitiveness mechanisms can positively bridge innovative product relationships and entrepreneurial creativity in marketing performance. Third, the potential mediator of protection of competitiveness mechanisms can overcome the negative association of product innovativeness on marketing performance. The practical implications of criticizing MSMEs are not enough just creative and innovative, but still, require the protection of resource excellence. External factors protecting intellectual competitiveness mechanisms contribute to providing a competitive advantage. The theoretical implication is that the theory of competing resource advantages that a competitor's scarce resources have has the potential to gain a comparative advantage.
Disruptor Recognition and Market Value of Incumbent Firms: Airbnb and the Lodging Industry

Although Airbnb debuted in 2008, incumbent lodging firms did not fully recognize it as a legitimate competitor for several years. However, as Airbnb made inroads into the accommodation business, hotel firms and their investors started to take notice and to legitimize its disruptive role. In this paper, we investigate investors’ awareness of the disruptor Airbnb as a competitor of incumbent lodging firms. Specifically, we assess the effect of awareness on incumbent hotel management and hotel property owner firms. Employing an event study methodology, our analysis finds that Airbnb performance milestones negatively affect incumbents’ market value. This research contributes to our understanding of the role played by investors and financial analysts in shaping competitive markets by legitimizing an industry disruptor and by spurring competitive action among incumbent firms.