Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Developing a Framework for Conducting Management Studies Using Design Research Methodology

Following trends are not limited to the fashion and beauty industry. Many researchers in papers, master’s degree thesis, and PhD dissertations prefer to solve domain questions or problems with research methodologies previously used by others in the field, mainly, case study research in operations management and technology management studies. This paper is about to stress on adding design research methodology (DRM) as a very useful and practical methodology in management studies that can meet the main aim and concern facing researchers in management studies: produce and develop practical domain knowledge which meets the rigor and relevance functions of the research. This study unlocks all the aspects of DRM and represents a methodological perspective, and sheds light on the reasoning behind why and how DRM should be used more as a methodology in management studies in general, and operations and technology management specifically.
Concept maps as dynamic tools to increase students' understanding of knowledge and creative thinking

Concept maps are closely related to students' understanding of knowledge and creative thinking skills. This study aims to determine the effectiveness of concept maps as in increasing understanding of knowledge and creative thinking skills when students are involved in learning activities. The type of research method chosen is descriptive analysis. Research data were collected through (1) questionnaires, (2) concept map assessment rubrics, and (3) interviews. The results of the questionnaire were evaluated using the percentage technique. Students' answers to open-ended questions about the advantages and disadvantages of applying concept maps are summarized and analyzed descriptively. The results showed that most respondents stated that learning with concept maps was fully effective. Analysis of answers to questionnaires and open-ended questions cloncludes that concept maps are effective as a tool to improve students' understanding of knowledge and creative thinking skills that have implications for meaningful learning, student positive attitudes, and student academic achievement.
Bottled and Well Water Quality in a Small Central Appalachian Community: Household-Level Analysis of Enteric Pathogens, Inorganic Chemicals, and Health Outcomes in Rural Southwest Virginia

Consumption of unsafe drinking water is associated with a substantial burden of disease globally. In the US, ~1.8 million people in rural areas lack reliable access to safe drinking water. Our objective was to characterize and assess household-level water sources, water quality, and associated health outcomes in Central Appalachia. We collected survey data and water samples (tap, source, and bottled water) from consenting households in a small rural community without utility-supplied water in southwest Virginia. Water samples were analyzed for physicochemical parameters, total coliforms, E. coli, nitrate, sulfate, metals (e.g., arsenic, cadmium, lead), and 30+ enteric pathogens. Among the 69% (n = 9) of households that participated, all had piped well water, though 67% (n = 6) used bottled water as their primary drinking water source. Total coliforms were detected in water samples from 44.4% (n = 4) of homes, E. coli in one home, and enteric pathogens (Aeromonas, Campylobacter, Enterobacter) in 33% (n = 3) of homes. Tap water samples from 11% (n = 1) of homes exceeded the EPA MCL for nitrate, and 33% (n = 3) exceeded the EPA SMCL for iron. Among the 19 individuals residing in study households, reported diarrhea was 25% more likely in homes with measured E. coli and/or specific pathogens (risk ratio = 1.25, cluster-robust standard error = 1.64, p = 0.865). Although our sample size was small, our findings suggest that a considerable number of lower-income residents without utility-supplied water in rural areas of southwest Virginia may be exposed to microbiological and/or chemical contaminants in their water, and many, if not most, rely on bottled water as their primary source of drinking water.
The Psychological Well-Being of Older Chinese Immigrants in Canada amidst COVID-19: The Role of Loneliness, Social Support, and Acculturation

This study examined the effects of loneliness, social support, and acculturation on psychological well-being, as indexed by general emotional well-being and life satisfaction, of older Chinese adults living in Canada during the COVID-19 pandemic. A total of 168 older Chinese adults, recruited via WeChat and the internet, completed an online study through a facilitated Zoom or phone meeting, or through a website link, individually or in a group. The testing package included demographic information, The UCLA Loneliness Scale, The Multidimensional Perceived Social Support Scale, Vancouver Index of Acculturation, The Satisfaction with Life Scale, and The World Health Organization’s Five Well-Being Index. The results showed that the psychological well-being (both general emotional well-being and cognitively perceived life satisfaction) was positively predicted by perceived social support but negatively predicted by loneliness. Acculturation was not predictive of both outcomes, and it did not moderate the predictive relationships of social support or loneliness. The results shed light on the importance of community services that target enhancing social support and reducing loneliness in promoting psychological well-being of older Chinese immigrants in Canada amidst and post the pandemic.
Ripening of Pomegranate Skin as Revealed by Developmental Transcriptomics

The appearance of pomegranate (Punica granatum L.) fruit is highly important for its marketing. The primary concerns are obtaining sufficient red pigment accumulation and minimal cracking of the fruit skin (the outer red layer of the peel). We analyzed the skin transcriptome of pomegranate cv. Wonderful at distinct time points of fruit development to characterize the processes that occur in the skin during fruit ripening and which may reflect on processes in the whole fruit, such as the non-climacteric nature of pomegranate. The data suggested a ripening mechanism in pomegranate skin that differs from that in strawberry—the model plant for non-climacteric fruit where abscisic acid is the growth regulator that drives ripening—involving ethylene, polyamine, and jasmonic acid pathways. The biosynthetic pathways of important metabolites in pomegranate—hydrolyzable tannins and anthocyanins—were co-upregulated at the ripening stage, in line with the visual enhancement of red coloration. Interestingly, cuticle- and cell-wall-related genes that showed differential expression between the developmental stages were mainly upregulated in the skin of early fruit, with lower expression at mid-growth and ripening stages. Nevertheless, lignification may be involved in skin hardening in the mature fruit.
Toward an Efficient Automatic Self-Augmentation Labeling Tool for Intrusion Detection Based on a Semi-Supervised Approach

Intrusion detection systems (IDSs) based on machine learning algorithms represent a key component for securing computer networks, where normal and abnormal behaviours of network traffic are automatically learned with no or limited domain experts’ interference. Most of existing IDS approaches rely on labeled predefined classes which require domain experts to efficiently and accurately identify anomalies and threats. However, it is very hard to acquire reliable, up-to-date, and sufficient labeled data for an efficient traffic intrusion detection model. To address such an issue, this paper aims to develop a novel self-automatic labeling intrusion detection approach (called SAL) which utilises only small labeled network traffic data to potentially detect most types of attacks including zero-day attacks. In particular, the proposed SAL approach has three phases including: (i) an ensemble-based decision-making phase to address the limitations of a single classifier by relying on the predictions of multi-classifiers, (ii) a function agreement phase to assign the class label based on an adaptive confidence threshold to unlabeled observations, and (iii) an augmentation labeling phase to maximise the accuracy and the efficiency of the intrusion detection systems in a classifier model and to detect new attacks and anomalies by utilising a hybrid voting-based ensemble learning approach. Experimental results on available network traffic data sets demonstrate that the proposed SAL approach achieves high performance in comparison to two well-known baseline IDSs based on machine learning algorithms.
Effects of GH on the Aging Process in Several Organs: Mechanisms of Action

In order to investigate the possible beneficial effects of GH administration on the aging process, 24-month-old rats of both sexes and 10-month-old SAMP8 mice were used. Male rats showed increased fat content and decreased lean body mass together with enhanced vasoconstriction and reduced vasodilation of their aortic rings compared to young adult animals. Chronic GH treatment for 10 weeks increased lean body mass and reduced fat weight together with inducing an enhancement of the vasodilatory response by increasing eNOS and a reduction of the constrictory responses. Old SAMP8 male mice also showed insulin resistance together with a decrease in insulin production by the endocrine pancreas and a reduced expression of differentiation parameters. GH treatment decreased plasma levels and increased pancreatic production of insulin and restored differentiation parameters in these animals. Ovariectomy plus low calcium diet in rabbits induced osteoporosis Titanium implants inserted into these rabbit tibiae showed after one month lesser bone to implant (BIC) surface and bone mineral density (BMD). Local application of GH in the surgical opening was able to increase BIC in the osteoporotic group. The hippocampus of old rats showed a reduction in the number of neurons and also in neurogenesis compared to young ones, together with an increase of caspases and a reduction of Bcl-2. GH treatment was able to enhance significantly only the total number of neurons. In conclusion, GH treatment was able to show beneficial effects in old animals on all the different organs and metabolic functions studied.
A Deep Neural Network to Identify Vacuum Degrees in Vacuum Interrupter Based on Partial Discharge Diagnosis

One of the most crucial parameters in operating a vacuum interrupter (VI) is internal pressure. The failure of switching or insulation occurs when the pressure rises above a specific level. Characteristics of partial discharge (PD) in VI can be used to measure the internal pressures of VI. This paper defines a classification problem for the degree of internal pressure in VI using PDs, which were measured using a capacitive PD coupler. Then, we propose a deep neural network to monitor the internal pressure of VI by analyzing PDs. Experimental results show that the proposed deep neural network monitors the internal pressure range, from <inline-formula> <tex-math notation="LaTeX">$1.0 \times 10^{-2}$ </tex-math></inline-formula> torr to 10 torr in VI. The classification performance of the proposed method is significantly better than those of machine learning algorithms such as support vector machines and <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-nearest neighbor algorithm and the proposed method achieves an 100% classification accuracy.
Moulding and Sustaining Excellence and Passion of Teachers through Resilience in the Post-Covid-Pandemic Era

Human resource excellence through resilience is a recent area of research in organisations to overcome all pitfalls of the workforce. Due to the pandemic wave of COVID-19, all institutions were closed for reducing the crisis dilemma; the entire world was affected especially the education sector. The lockdown system throughout the world arose out of the Corona epidemic and has created changes in the model of teaching, that is, from a conventional-lecture method to a virtual classroom system. Though the sudden shift affected the entire sector of education, the aftermath of this situation has adversely disturbed the college teachers and students. This study aimed at reducing the stress, worries and technological issues that college teachers are experiencing in Thrissur district, Kerala. By following a simple random sampling method, the study was conducted among 268 teachers who were working in a college by administering a self-structured questionnaire. The result through the SEM analysis has shown that resilience has prevented negative mental health, and stress in work while there was an increased work–life balance, that is, the well-being of teachers. It has created a signature strength in their work.
Genetic parallelism between European flat oyster populations at the edge of their natural range

Although all marine ecosystems have experienced global‐scale losses, oyster reefs have shown the greatest. Therefore, substantial efforts have been dedicated to restoration of such ecosystems during the last two decades. In Europe, several pilot projects for the restoration of the native European flat oyster, Ostrea edulis, recently begun and recommendations to preserve genetic diversity and to conduct monitoring protocols have been made. In particular, an initial step is to test for genetic differentiation against homogeneity among the oyster populations potentially involved in such programs. Therefore, we conducted a new sampling of wild populations at the European scale and a new genetic analysis with 203 markers to (1) confirm and study in more detail the pattern of genetic differentiation between Atlantic and Mediterranean populations, (2) identify potential translocations that could be due to aquaculture practices and (3) investigate the populations at the fringe of the geographical range, since they seemed related despite their geographic distance. Such information should be useful to enlighten the choice of the animals to be translocated or reproduced in hatcheries for further restocking. After the confirmation of the general geographical pattern of genetic structure and the identification of one potential case of aquaculture transfer at a large scale, we were able to detect genomic islands of differentiation mainly in the form of two groups of linked markers, which could indicate the presence of polymorphic chromosomal rearrangements. Furthermore, we observed a tendency for these two islands and the most differentiated loci to show a parallel pattern of differentiation, grouping the North Sea populations with the Eastern Mediterranean and Black Sea populations, against geography. We discussed the hypothesis that this genetic parallelism could be the sign of a shared evolutionary history of the two groups of populations despite them being at the border of the distribution nowadays.
Children' Ideas about Gravitation, Investigating a Model of Gravitational Field

From disciplinary, conceptual and common sense’s knots pointed out in the literature, we have considered some key points such as the concept of action at a distance, the role of field lines, the trajectory of an object moving in a field and the field concept as a physical entity. The ideas of support and connection (medium) are related to the concept of action at a distance; field lines are usually identified with trajectories, while field concept is constructed in a lot of different ways, most often associating it to a sphere of force action. To understand the role of the context in constructing the connection between everyday experience and scientific knowledge, children’s (age from 5 to 9) spontaneous ideas have been explored as a game in an informal context of scientific culture dissemination. Reflections upon body falling and gravitational force were proposed by Rogers' interviews and drawings, investigating the role of a material model of the gravitational field. The model helps the interpretative prediction of resting and moving objects behavior in the part of the field represented. We propose it as a connection between local vision of earth gravitation and the vision related to gravitational properties of masses interacting with one another.
NOTE ON TEE PACTCBRIZATION OF THE HAAR MEASURE ON FINITE COXETER GROUPS

In this note we &ow that for the finite Coxeter groups of types A,, B,, D,, F,, G, and 12(m) it is possible to choose w ap- propriate set S of generators of order not greater than 2 and a finite set of probability measures {p,, . , pk) with their supports in S such that pl*. *pk = 2, where l(g) = IGI-' for every g EG. 2000 Mathematics Subject Classification: 60BI5, 43A05.
Influence of Agricultural Systems on Microbiological Transformation of Organic Matter in Wheat Winter Crops on Typical Black Soils

The influence of different agriculture systems and measures of basic tillage on nutrient regime, its relation to the number of microorganisms involved in transformation of organic matter in typical black soils was studied. Direc tion of the formation processes of some physiological indices in the field of wheat winter was investigated. It was found that the most favorable conditions of nutrition and soil microflora development, as well as indices of crop growth and development are created when using ecological system of agriculture.
Patterns and Trajectories of Pulmonary Function in Coronavirus Disease 2019 Survivors: An Exploratory Study Conducted in Central India

Background: The ongoing pandemic of coronavirus disease 2019 (COVID-19) has negatively impacted respiratory health worldwide. The severity of the disease varies considerably, and patients may present with bronchitis, pneumonia, and acute respiratory distress syndrome. This study aims to quantify the parameters of the pulmonary function test (PFT) with regard to the severity of COVID-19 and understand the pattern of PFT in reference to the status of selected morbidities and body mass index. Materials and methods: This is a hospital-based, comparative, cross-sectional study. A total of 255 COVID-19 survivors underwent clinical assessment, a PFT, and a 6-minute walk test. Participants were divided into mild, moderate, and severe disease groups. The parameters were compared between these groups. The PFT and 6-minute walk tests were conducted using an NDD Digital computerized spirometer (NDD Meditechnik AG., Switzerland) and a fingertip pulse oximeter (Hasely Inc., India), respectively. Results: All PFT parameters showed significant differential distribution among the severity groups (p<0.001) except for forced expiratory volume in 1 s/ forced vital capacity (FEV1/FVC) and forced expiratory flow (FEF) during 25%-75% expiration and peak expiratory flow (PEF). Among severe category participants forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and FEV1/FVC, were significantly reduced as compared to mild and moderate. Severity was significantly affected by age >50 years. Severe category participants were seen in 31% of normal, 58% of pre-obese, and 53% of obese participants; however, this difference was insignificant. A significant reduction in SPO2 on the 6-minute walk test was observed in severely sick participants. Conclusions: COVID-19 is associated with a mixed pattern of spirometry. Poor prognosis is associated with older age, obesity, and multimorbidity.
Dual Dynamic Programming for the Mean Standard Deviation Canadian Traveller Problem

This article studies the mean standard deviation (mean-std) Canadian traveller problem (CTP). Different from the canonical CTP, which aims at minimizing the traveller's expected travel time, while considering edge breakdown probabilities, we introduce the reliability version of CTP, which tries to find a routing policy with the minimal linear combination of the travel time's mean and standard deviation. With the recent development of internet-of-things (IoT) technology, the transportation network's edges' travel-time statistics, i.e., mean and standard deviation, as well as the traversal probabilities, are available to the end users. With those information, we propose a dual dynamic programming (DDP) method, which simultaneously estimates the first-order and the second-order moments of a given decision-list (DL) policy, and thereby makes improvements towards to the optimal one through the generalized policy iteration (GPI) scheme. We construct an open source benchmark environment to evaluate the performance of different mean-std CTP solutions, and show that the DDP method outperforms state of the arts in a range of transportation networks.
The gaslighting of authentic leadership revisited

Authentic leadership theory (ALT) has become the target for considerable criticism of its conceptual grounding and the methods used for its empirical investigation. Mats Alvesson and Katja Einola (2019) have led the charge in advancing skepticism about ALT by warning of the pitfalls of excessive positivity in leadership research, using ALT as an illustrative example. In a subsequent exchange of letters, the cases against and for authentic leadership were advanced by Alvesson and Einola and Gardner and Karam, respectively (Gardner et al., 2021). As an extension to this debate, Einola and Alvesson (2021) advanced a provocative argument that ALT is not only misguided, but “perilous” to those who believe in it. We felt compelled to reply to this claim by documenting erroneous elements of their arguments that we contend constitute “academic gaslighting” in that they may cause leadership scholars and practitioners to inappropriately discount empirical evidence and their own lived experiences of authentic leadership (Gardner and McCauley, 2022). Alvesson and Einola (2022), in turn, replied with a lengthy defense of their position in which they assert that rather than engaging in gaslighting, their critique constitutes an effort to “enlighten” ALT. In this final entry in this academic exchange, we identify areas of agreement as well as continued disagreements in our exchange and take issue, yet again, with their argument that ALT is inherently dangerous for scholars and practitioners alike. We conclude by asking readers to be wary of these efforts to gaslight ALT and instead rely on the extant empirical evidence and their own lived experiences to draw their own conclusions about the merits of authentic leadership as a topic for academic inquiry and an approach for practicing leadership in the workplace.
Confidence, Self-Selection and Bias in the Aggregate

The influence of behavioral biases on aggregate outcomes depends in part on self-selection: whether rational people opt more strongly into aggregate interactions than biased individuals. In betting market, auction and committee experiments, we document that some errors are strongly reduced through self-selection, while others are not affected at all or even amplified. A large part of this variation is explained by differences in the relationship between confidence and performance. In some tasks, they are positively correlated, such that self-selection attenuates errors. In other tasks, rational and biased people are equally confident, such that self-selection has no effects on aggregate quantities. (JEL C91, D44, D91)