Miracle-dz/UniFAR-FTUs huggingface dataset:
Judge me on my losers: Do robo‐advisors outperform human investors during the COVID‐19 financial market crash?

As financial institutions increasingly offer robo‐advisors (RAs) as a service, the empirical evidence on their performance, particularly during market downturns, remains limited. We study the impact of using RAs on investment performance during the 2020 financial crisis caused by the COVID‐19 global pandemic. We obtain daily portfolio and transaction data of investors on an online investment platform. Besides making investment decisions by themselves, investors can also leverage an RA system offered by the platform. We match RA users with other investors who did not use the RA with similar investor and portfolio characteristics before the market crash, then compare their portfolio returns after the crash. We find that RA users experienced significantly fewer losses during the market downturn, and this performance advantage came from the RA‐managed assets (rather than assets managed by RA users themselves). We further show that the RA system adjusted its portfolios to hold less risky funds, whereas human investors stayed with their status quo and did not reduce the risk of their portfolios, which partly accounted for the performance discrepancy. Importantly, the RA’s superior performance was not simply a continuation of its performance in a normal market; in fact, we find RA users to have similar portfolio returns as non‐RA investors during normal markets, and the benefits of RA's risk‐reduction trading strategy only manifested during the financial crisis. Our work offers an empirical assessment of RAs’ performance under different market conditions and advances the understanding of algorithmic decision making in financial markets.
A Study on Requirements, Challenges and Applications of Wireless Body Area Network

Body Area Network (BAN) or Body Sensor Network (BSN) has became the most emerged research technology because of the recent advancement in wireless sensor networks. This has also provided many opportunities for researchers on wireless networks around the body. A BAN allows remote health monitoring of patients. The caregivers can monitor their patient’s health status without disrupting their normal activities. This monitoring is possible by deploying of the low-power sensor nodes on human body as implanting or worn. This paper presents a description of BSNs, requirements, challenges and various applications associated with BAN. The most important requirement and challenges faced by BSN are Energy, quality of service and routing. These factors are analyzed in detail in this paper. An investigation of existing challenges and requirements with its solutions and technologies at physical, MAC, network, transport, and application layers also done in this paper. At the end, open research issues and challenges for each layer are discussed to be addressed in further research.
Station Rotation with Gamification Approach to Increase Students’ Engagement in Learning English Online

Students in non-native English-speaking countries like China showed low engagement in English learning. To foster student engagement, educators have adopted different teaching strategies like Blended learning to improve the effectiveness of English classrooms. The station rotation model in the blended classroom has the potential to enhance students’ engagement. However, there is still a need to make learning more exciting to retain engagement, especially when the classes are conducted entirely online in a pandemic. The study aims to identify the effectiveness of the Station Rotation and a Gamification approach to improve students’ engagement in online learning English. Two research questions are involved in the study. 1) What features of the Station Rotation and a Gamification approach can be integrated into LMS to improve students’ engagement in English vocabulary learning? 2) What effect do the station rotation and gamification approach have on students’ engagement in English learning, including cognitive, emotional, and behavioural engagement? The methodology chosen is qualitative research with data triangulation using observation, self-report and interview. The findings revealed significant effects on improving students’ learning engagement in three dimensions, enhancing students’ interests, boosting motivation, and fostering engagement. The findings offered several implications and recommendations for further research and contributed to the literature by sharing practical ways to incorporate the Station Rotation and a Gamification approach.
ASSESSMENT OF KNOWLEDGE, ATTITUDE AND PRACTICE TOWARD DIABETIC PATIENTS IN RIYADH CITY, 2016.

Mohammed obaid AlAnazi, Mashael Belal Alrubaian , Abdullah Khalaf Almutairi , Abduldaim Fahad AlKhraiji, Ahmad Omar Bogari ,Musaad Ajban Alhurayyis ,Narjis abdulraziq Bakkar, Maab Abdulsalam Emam , Manar Abdulsalam Emam , Mohammed Mubarak Al-Masabi and Fadhilah Hussain Alshafei. Manuscript Info Abstract . Manuscript History
Reliability and Validity of the Korean Version of Hospital Social Work Self-Efficacy Scale

Abstract A total of 280 medical social workers in medical institutions in South Korea participated to an online survey from December 2021 to March 2022. Translation and adaptation of items of the Korean version of HSWSE followed the suggested process by the World Health Organization. To ensure privacy of study participants, the popular mobile messaging app for smartphones in South Korea was utilized. The two-fold strategy involved the recruitment of medical social workers working in hospital settings; a recruitment message was sent to the regional representatives of The Korean Association of Medical Social Workers, and the message was forwarded to their members. Various correlation and confirmatory factor analyses were conducted for data analysis. The evaluation of the psychometric properties of the Korean version of HSWSE indicated that it is a valid and reliable population-based and working environment-focused instrument. Study findings will enable the Korean version of HSWSE to be usefully utilized to improve the task performance of medical social workers, and evaluate the factors influencing their education and training. Study findings shed a light on the needs for developing and verifying culturally responsive instruments, and furthermore if its validity and reliability of the Korean version of HSWSE can be transferable internationally.
Bullet-to-streamer transition on the liquid surface of a plasma jet in atmospheric pressure

This study investigated the transition of the plasma shape from a ring-shaped bullet to a pin-like streamer adjacent to the electrolyte surface in a kHz-driven helium atmospheric pressure plasma jet. The transition was observed by synchronized fast images, plasma propagation speed, time-resolved emission profile of Hβ, and spatially and temporally resolved helium metastable density. The transition height increased when electrolyte evaporation was enhanced. The plasma continued to discharge on the electrolyte surface even in the absence of metastable species, i.e., the discharge mechanism changed from Penning ionization between helium metastable and ambient nitrogen to electron collision on evaporated water.
Fuzzy Logic Control and PID Controller for Brushless Permanent Magnetic Direct Current Motor: A Comparative Study

Electrical machines based on permanent magnet material excitations have been applied in many sectors since they are distinguished by their high torque-to-size ratio and offer high efficiency. Brushless permanent magnetic direct current (BLPMDC) motors are one type of these machines. They are preferable over conventional DC motors. one of the main challengings of the BLPMDC motor drives is the inherited feature of nonlinearity. Therefore, a conventional PID controller would not be an efficient choice for the speed control of such motors. The object of this paper is to design an efficient speed control for the BLPMDC motor. The proposed controller is based on the Fuzzy logic technique. MATLAB/ Simulink has been employed to design and test the drive system. Simulations were carried out for three cases, the first without a controller, the other using conventional control, and the third using expert systems. The results proved the possibility of improving the engine's working performance using the control systems. They also proved that the adoption of expert systems is better than the traditional nonlinear systems. The simulation response shows that the Rise Time(tr) at PID equals 66.306ms, while it equals 19.530ms for the Fuzzy logic controller. Moreover, Overshoot for PID and Fuzzy logic controller are 6.989% and 1.531%, respectively. On the other hand, undershoot is equal to 1.788% and 11.924% for PID and Fuzzy logic controller, respectively.
Improved Energy Management through Doppler Radar Smart Occupancy Sensing

: This paper discusses the complex problem of measuring occupancy to better manage large buildings and their energy consumption profiles and explores ways that occupancy has been measured in the past. The paper then explores a novel way of measuring occupancy using a Doppler radar based occupancy sensor, TruePODS, to detect human presence, and the greater implications that this technology provides. As a proof of concept, six TruePODS modules were deployed in a single building on a university’s campus over a period of six months. This paper details this case study and the methods used to empirically collect occupancy data for energy management. This paper concludes with exploring why Doppler technology could provide the answer to creating a high-resolution smart occupancy sensor that would be necessary to meet local and global energy efficiency goals.
Eosinophils as potential biomarkers in respiratory viral infections

Eosinophils are bone marrow-derived granulocytes that, under homeostatic conditions, account for as much as 1-3% of peripheral blood leukocytes. During inflammation, eosinophils can rapidly expand and infiltrate inflamed tissues, guided by cytokines and alarmins (such as IL-33), adhesion molecules and chemokines. Eosinophils play a prominent role in allergic asthma and parasitic infections. Nonetheless, they participate in the immune response against respiratory viruses such as respiratory syncytial virus and influenza. Notably, respiratory viruses are associated with asthma exacerbation. Eosinophils release several molecules endowed with antiviral activity, including cationic proteins, RNases and reactive oxygen and nitrogen species. On the other hand, eosinophils release several cytokines involved in homeostasis maintenance and Th2-related inflammation. In the context of SARS-CoV-2 infection, emerging evidence indicates that eosinophils can represent possible blood-based biomarkers for diagnosis, prognosis, and severity prediction of disease. In particular, eosinopenia seems to be an indicator of severity among patients with COVID-19, whereas an increased eosinophil count is associated with a better prognosis, including a lower incidence of complications and mortality. In the present review, we provide an overview of the role and plasticity of eosinophils focusing on various respiratory viral infections and in the context of viral and allergic disease comorbidities. We will discuss the potential utility of eosinophils as prognostic/predictive immune biomarkers in emerging respiratory viral diseases, particularly COVID-19. Finally, we will revisit some of the relevant methods and tools that have contributed to the advances in the dissection of various eosinophil subsets in different pathological settings for future biomarker definition.
The Weightlifter’s Blackout Phenomenon

Introduction : The Weightlifter’s Blackout is a period when all lights must be turned out or covered to prevent them being seen by the others. Also it is a temporary loss of consciousness experienced during weightlifting or another strength training activity when the breath is held [1] [2][12]. Many weightlifters at one point or another in their careers will experience the phenomenon of “blacking out. ” This will most likely occur in lifts where the breath is held for a longer than normal time, such as in a military press, squat clean, or squat. It is a strange feeling, one of quickly, but not suddenly losing consciousness. It difficult to describe, but it seems that the world is in slow motion and the weightlifter has difficulty continuing his movements. He does not always lose complete he you may pass out [2] [3]. While an annoying phenomenon in Weightlifting is the light-headedness that athletes sometimes experience after standing up out of a heavy clean. The often given explanation is that during the clean the bar presses into the neck and restricts blood flow in the carotid artery thus reducing the perfusion of oxygenated blood to the brain. However, this explanation is not correct. Although the Weightlifters’ blackout is caused by a reduced cerebral perfusion pressure, that is a lack of oxygen to the brain [8], the impact or pressure of the bar on the carotid artery is not the reason. The weight of the bar is acts downwards on the shoulders not on to the carotid artery in the neck. Instead, the phenomenon can be attributed to the reduced cardiac output as a result of a lack of venous return to the heart and a delay in the filling of the heart’s left ventricle [1][12].
A multiphase DMOC‐based trajectory optimization method

Discrete mechanics and optimal control (DMOC) is a methodology that takes advantage of variational structure to solve certain optimal control problems for mechanical systems. This paper proposes to combine a multiphase strategy with the original DMOC method, resulting in a new multiphase DMOC (MDMOC) method and making optimal trajectory generation more efficient. The advantages of the proposed method are demonstrated mathematically, and in addition, a quadrotor, unmanned aerial vehicle, simulation example is presented to show its superiority over the DMOC method. Furthermore, to show its potential application, an arbitrarily chosen controller was used to track the desired trajectory generated by MDMOC. This new MDMOC methodology can also be applied to other mechanical systems such as mobile robots and underwater gliders.
Broad-Sense Heritability for Horticultural Production Traits in Eggplant

Eggplant ( Solanum melongena L.), also known as aubergine or brinjal, is an economically important horticultural crop from the nightshade family ( Solanaceae ) which is cultivated for human consumption of its berry fruits. Numerous traits are important for eggplant productivity in diverse environments including disease resistance, abiotic stress resistance, and production traits. Breeding programs utilize heritability estimates to understand the proportional role of genetic factors in phenotypic expression of crops. Examining 60 published studies, this literature review summarizes ranges of observed broad-sense heritability in eggplants for ten traits related to plant architecture (plant height and branch number), phenology (days to first flower and days to fifty percent flowering), fruit characteristics, and production traits (fruit length, fruit girth, fruit diameter, individual fruit mass, and yield). Higher mean broad-sense heritability estimates were observed for yield components rather than yield per se. Due to the importance of population structure and environmental conditions on the estimate of heritability for quantitative traits, estimates are not transferrable; however, generally for all traits examined, breeding programs can expect targeted responses from selection.
Textbook Evaluation Criteria and Learning Achievement in Secondary Schools in Kenya and Japan: Addressing Instructional Content and Pedagogy

Knowledge and skills are enhanced if instructional content support lively learning experiences for increased learner achievement. Study presents literature review of related literature on textbook evaluation criteria in secondary education in Kenya and Japan. Assessing quality of instructional content has enhanced effective teaching and learning in secondary schools in Kenya promoting self-efficacy among learners. However in instances where techniques of presenting instructional content do not accommodate learner centered approach learning outcome is propelled resulting in success in learning. Research question for this study is focused on relationship between evaluation criteria in Kenya and Japanese system of education. The study dimensions include teaching methods and instructional content. The purpose of this desk review is to establish suitability of evaluation criteria in promoting learning achievement in Kenya and Japanese system of education. Design adopted for this study is systematic literature review in the area of pedagogy, instructional content and evaluation Criteria. The articles reviewed are those published in the last five years from global view point and African perspective. The study concluded that both Kenya and Japan offer business studies at secondary level and that both of the countries encourage learner centered pedagogical technique to enhance academic outcome. The study recommends that Kenya improves on content presentation to integrate digital textbooks to enhance online learning for lifelong learning experience.
Penentuan Harga Jual: Harga Pokok Produksi dan Ekspektasi Laba

The purpose of this study is to analyze the relationship between cost of goods produced and profit expectations in influencing the determination of selling prices. This research uses a mix method approach. Research samples during 5 reporting periods with purposive sampling techniques. Secondary data as the primary source with time series data characteristics. A multiple linear regression model is selected and a model feasibility test is performed. Research findings, that the relationship between cost of goods produced and profit expectations can predict the determination of selling prices. The cost of goods produced and profit expectations have proven to have a positive and significant effect on determining selling prices, both individually and simultaneously. The implication, a selling pricing strategy requires complete cost information and the practice emphasizes conformity. Determination of selling prices as a determination of a strategy is quite complicated, the cost factor is not the only one considered. External factors beyond control remain the basis for consideration, as much as possible must be recognized to support the success of decision making on selling price strategies. The right conditions to increase or decrease the selling price of a product/service still require investigation. This can serve as a future research direction.
Effect of natural and artificial diets on the biological and reproductive characteristics of Cydia pomonella (Lepidoptera: Tortricidae)

The use of artificial diet provides the possibility of continuous mass- rearing of insects throughout the year. In current research, life-table parameters of Cydia pomonella (L.) (Lep.: Tortricidae) on six different diets under laboratory condition (temperature 25 ± 1 °C, 60±5% RH, and 16:8 hours (light: dark) were investigated. Diets include 1) modified version of the diet of Brinton et al . (1969), 2 and 3) modified versions of the diet of Bathon (1981), 4) diet of Fukova et al. (2005), 5) apple, and 6) apple leaf. The results showed that development time of codling moth were longest (51.17 days) with diet one and shortest (48.01 days) with diet six, respectively. The results of the tests also showed that the larval duration, the pupal duration on male, and the adult longevity in both, female and male, had significant differences. The longest pre-oviposition (2.01d) and oviposition (7.21d) periods were found on diet six and five, respectively. The females that fed on diet four (141.2 egg/female) and six (91.3 egg/female) in the larval period produced the highest and lowest eggs, respectively. The highest growth index of all life stages of codling moth was obtained by feeding the diet four. The population parameters indicated that all diets will display growth under the studied conditions, being the mean generation time ( T ) significantly shorter when using diet four (46.14 days) than others. Based on the preadult and adult results pointing to diet four being a more efficient diet, as well as the fecundity values provided by this diet, suggest that diet four could be improved and used as an alternative to a natural diet shortly.
Discrete distributions based on inter arrival times with application to football data

ABSTRACT Motivated by McShane, Adrian, Bradlow and Fader [Journal of Business and Economic Statistics, 26, 2008, 369–378], we introduce thirteen discrete distributions. We give explicit expressions for their probability mass functions. We analyze two football data sets and show that some of the proposed distributions provide better fits than the distribution due to McShane, Adrian, Bradlow, and Fader.
Barefoot entrepreneurs trapped in liminal spaces: the case of homeless youths in New York City

ABSTRACT The barefoot entrepreneurship literature rarely acknowledges the role of space in the development of informal economic activities. However, the concept of liminal space, defined as a place of transition and largely discussed in geography, can provide a new conceptual lens through which the trajectories of barefoot entrepreneurs can be viewed. This interdisciplinary research leverages this perspective to raise the following question: How do barefoot entrepreneurs experience liminal spaces to engage in informal economic activities? To answer this question, this article explores how 10 homeless youths in New York City panhandle, steal, deal and prostitute themselves to survive. Drawing on a four-year ethnography and the use of geographic methods, we explain how these barefoot entrepreneurs experience liminal spaces. More precisely, we underline how these spaces are ambivalent places of becoming: on the one hand, they support the development of barefoot entrepreneurship; but on the other hand, they lead to ‘entrepreneurial traps’ in the sense that these activities tend to increase the entrepreneurs’ marginality. Based on these results, we contribute to the literature on barefoot entrepreneurship, and to a better understanding of the implication of liminal spaces in entrepreneurial dynamics.
Influence of Innovation in Education: Mediation of knowledge transfer

Considering knowledge transfer functions as a mediating factor, this study discusses how administrative employees execute innovation in education through absorptive capacity and psychological empowerment. SPSS25 was used to analyse the data. Based on the findings, knowledge transfer mediates the links between two innovation-related concepts: (1) absorptive capacity and innovation capability; and (2) psychological empowerment and innovation capability. The creation of an adapted model of "absorptive capacity," "knowledge transfer," "psychological empowerment," and "innovation" in the field of psychology signifies the contribution of the current body of knowledge related to the education industry.