Miracle-dz/UniFAR-FTUs huggingface dataset:
Transitioning into Fully Blended Learning: A Model for Faculty Blended Learning Adoption

Higher education institutions the world over is turning to Blended Learning (BL) as the preferred teaching and learning delivery approach. However, to attain campus-wide adoption requires an understanding of the influencing factors that motivate academics towards teaching in BL mode. Given this context, this paper presents findings from a qualitative study that investigates the lived experiences of academics as they adopt BL for teaching and learning in a Ghanaian university. Adopting a Grounded Theory as the methodology for this research within a sequential qualitative research design, data was collected from multiple sources. Primary data was obtained from in-depth interviews of 22 academics carried out to understand how they construct and navigate the BL teaching experiences. Secondary data was obtained from policy documents, faculty training signing sheets and Learning Management Systems (LMS) activity logs. The data was analysed using the constant comparative method and thematic analysis and triangulated to organize the themes and concepts for the proposed model. The outcome of the analytical process is theorized into an adoption model and grounded in the literature. The findings of the research provide very useful and practical model for administrators to stimulate Faculty motivation as they embark on BL implementation. The model indicates that external and internal environmental factors stimulate Faculty motivation to make a choice regarding the teaching modalities they prefer. It posits that as Faculty members begin to implement teaching process using technology, they become sensitized and begin to internalize the differences between the two teaching modalities/models and thus decide to adopt BL based on the level of implicit and explicit motivational factors that exist within the faculty members and the university.
Pericapsular Nerve Group block (PENG) and total hip arthroplasty

A new method of regional anaesthetic called Pericapsular Nerve Group block (PENG) blocks these nerves in order to target the hip's anterior capsule. PENG Block applications include medial thigh lesions, hip fractures, and vascular operations. Only ultrasonic guidance is used when performing the PENG Block, and two methods — out-of-plane method and in-plane method — are used with the low-frequency probe. When employed in a multimodal manner, ultrasound guided peripheral nerve blocks were shown to be more effective and to have less adverse effects. Infection, bleeding, nerve injury, and local anaesthetic toxicity are some of the consequences. PENG is useful in complete hip replacement
Competence of expertise, experience, auditor professional skeptism and audit situation to the relevance of providing audit opinion on entity's financial statements

This research is to examine and provide empirical evidence that the factor of expertise, experience, professional skepticism of auditors and audit situations has no effect or no relevance to the provision of audit opinion on the financial statements of the entity. This research was conducted using the sampling method, namely purposive sampling, with the type of quantitative research. The data was analyzed using multiple regression analysis models. Hypothesis testing is done to determine the extent of expertise, experience, professional skepticism of auditors and audit situations affect the relevance of the provision of audit opinion on the financial statements of entities either partially or simultaneously.
Impact of immune checkpoint inhibitors on atherosclerosis progression in patients with lung cancer

Background Patients with lung cancer face a heightened risk of atherosclerosis-related cardiovascular events. Despite the strong scientific rationale, there is currently a lack of clinical evidence examining the impact of immune checkpoint inhibitors (ICIs) on the advancement of atherosclerosis in patients with lung cancer. The objective of our study was to investigate whether there is a correlation between ICIs and the accelerated progression of atherosclerosis among individuals with lung cancer. Methods In this case–control (2:1 matched by age and gender) study, total, non-calcified, and calcified plaque volumes were measured in the thoracic aorta using sequential contrast-enhanced chest CT scans. Univariate and multivariate rank-based estimation regression models were developed to estimate the effect of ICI therapy on plaque progression in 40 cases (ICI) and 20 controls (non-ICI). Results The patients had a median age of 66 years (IQR: 58–69), with 50% of them being women. At baseline, there were no significant differences in plaque volumes between the groups, and their cardiovascular risk profiles were similar. However, the annual progression rate for non-calcified plaque volume was 7 times higher in the ICI group compared with the controls (11.2% vs 1.6% per year, p=0.001). Conversely, the controls showed a greater progression in calcified plaque volume compared with the ICI group (25% vs 2% per year, p=0.017). In a multivariate model that considered cardiovascular risk factors, the use of an ICI was associated with a more substantial progression of non-calcified plaque volume. Additionally, individuals treated with combination ICI therapy exhibited greater plaque progression. Conclusions ICI therapy was associated with more non-calcified plaque progression. These findings underscore the importance of conducting studies aimed at identifying the underlying mechanisms responsible for plaque advancement in patients undergoing ICI treatment. Trial registration number NCT04430712.
Viscous - Inviscid Interaction Methods for Flutter Calculations

A viscous-inviscid interaction (VII) method, as an alternative method to Navier-Stokes solutions, is developed. It utilizes direct and semi inverse interaction of a viscous and an inviscid aerodynamic model to calculate steady and unsteady aerodynamic forces. It is applied for flutter analysis of airfoils and wings in transonic flows. The integral boundary layer equations based on Karman-Thwaites, Drela-Giles, Green’s Lag Entrainment methods as well as the differential boundary layer equations are used as viscous aerodynamic models. The Transonic Small Disturbance, the Euler and the Small Disturbance Euler equations are taken for the inviscid aerodynamics. Those methods are coupled with the structural dynamic equations to form a state space equation. They are solved by using the transition matrix method to obtain the response of an aeroelastic system. Results of the present method are compared with those obtained by the Navier-Stokes equations and also with experimental data.
When Personalized Gamification meets Computing Education: A Multidimensional Approach to Motivate Students to Learn

Computing Education (CE) is associated with motivational issues, which might lead to poor performance and dropouts. Whereas gamification might tackle motivational issues, it must be personalized to both user and contextual characteristics to achieve its full potential. However, most guidelines for personalizing gamification are limited to a single user dimension, and the few that go beyond that limitation lack empirical evaluations comparing them to the standard, one-size-fits-all (OSFA) approach. Hence, in the context of CE, this thesis developed and validated an approach for personalizing gamification designs of educational systems to contextual and user characteristics. As results, we generated 10 studies, two recommender systems, two datasets, a number of assessments/quizzes on CE, and data analysis plans. Those contributions might solve the issues of OSFA gamification, posing multidimensional personalization of gamification - based on both user and contextual dimensions - as the new state of the art. Furthermore, our empirical evidence reveals a new perspective in which multidimensional personalization might address equity and inclusion issues in gamified learning. Thus, this thesis informs the design of gamified practices and provides research questions and materials for future studies.
Content of Metals in Cow, Sheep and Goat Milk Samples

Milk is an excellent source of many essential nutrients, including Ca, proteins and vitamin D. Nine metals (Ca, Cd, Cu, Fe, Mg, Mn, Zn, Ni and Pb) in raw and pasteurized milk of cow, sheep and goat were determined by atomic absorption spectrometry, flame technique. The levels of Cd, Fe, Mn, Ni and Pb were below the detection limit of the used method. The concentration ranges for Ca, Mg, Zn and Cu, in all milk samples, were as follows: 459.8-992.8, 59.5-206.8, Mg>Zn>Cu. The highest content of Ca and Mg was found in goat milk. In the case of cow's milk, the content of Ca, Mg and Zn increased with increasing amount of milk fat in processed milk. Matrix correlation analysis showed that there is a significant correlation for the following pairs: Ca-Mg (r = 0.830), Zn-Cu (r = 0.799) and Ca-Zn (r = 0.624). Also, a strong correlation was found between milk fat and Ca, Mg and Zn (Pearson factor, r > 0.600). Based on daily consumption of 200 mL of milk, the milk consumption does not meet the daily requirements for determined elements. Most significant intake was in case of Ca.
Evaluation of the Prognostic Value of Low-Frequency KRAS Mutation Detection in Circulating Tumor DNA of Patients with Metastatic Colorectal Cancer

KRAS mutation in tumor tissue is a well-known predictor of resistance to the treatment of anti-EGFR antibodies in metastatic colorectal cancers (mCRC). However, the prognostic value of low-frequency plasma circulating tumor DNA (ctDNA) KRAS mutation in predicting treatment resistance in pretreated mCRC patients remains controversial. This study retrospectively reviewed the clinical course, including response to anti-EGFR and anti-VEGF therapies, and changes in serum tumor marker levels along with image studies in mCRC patients with <1.5% KRAS mutations detected in plasma ctDNA by next-generation sequencing (NGS) at a single center in Taiwan. We identified six pretreated mCRC patients with low-frequency KRAS G12V/G12D/G12S/G13D mutations (variant allele frequency 0.26~1.23%) in plasma ctDNA. Co-occurring low-frequency ctDNA mutations in APC, TP53, MAP2K1, KEAP1, or CTNNB1 were also detected. Although all six patients had treatment adjustments within one month after the ctDNA genetic test, image-evident tumor progression was noted in all patients within a median of 4 months afterwards. Re-challenge therapy with a combination of anti-EGFR, anti-VEGF, and FOLFIRI chemotherapy was found to be ineffective in a patient with 0.38% KRAS G12D mutation in baseline ctDNA. Our study suggests that the detection of low-frequency KRAS mutations in ctDNA could be used as a predictor of treatment response in mCRC patients.
Binormal evolution of Blaschke's curvature energy extremals in the Minkowski 3-Space

In 1930, in [4], Blaschke studied the solutions of the variational problem for the energy Θ ( γ ) = (cid:82) γ √ κ acting on certain spaces of curves in the Euclidean 3-space R 3 . In particular, in R 2 , he obtained the catenaries. In this paper, for a ﬁxed µ ∈ R , we are going to extend this problem and we will consider curves in L 3 which are extremals for the action
Question Speech Act Produced by the Junior High School Students

A question speech act is a communicative act that shows the intended language function, including questions, requests, apologies, suggestions, commands, and offers. This study aimed analyze the questions speech act types, question speech act social function, question speech act linguistics structure3 and questions speech act language elements produced by students in junior high school level. The study used descriptive qualitative. The subject of this study was seventh-grade students in junior high school. The data were collected through the elicitation technique. The analysis of this study included data collection, data reduction, data display, and conclusion drawing. The analysis result showed that from 960 questions, the students more frequently write two types of questions: yes/no questions and wh questions, rather than rhetorical questions and tag questions. The social functions used were directive functions speech act includes asking and requesting. The structure of yes/no questions was used verb in the beginning sentence then followed by the subject. Meanwhile, the structure of wh question was used wh then followed by an auxiliary verb, subject, and main verb. The result showed that non-effective questions were higher than effective questions, there were grammatical errors found that make the questions not effective. The language element of the questions speech acts based on the semantics situation types. The result showed that states is higher than activity, accomplishment, semelfactive and achievement.
Determinants of Purchase Decisions among E-commerce Users: The Significance of Trust, Security, Price, Service Quality, and Risk Perception

The objective of this study is to determine the influence of Trust, Security, Price, Service Quality, and Risk Perception on Purchase Decisions of E-commerce users through Shopee. This is a quantitative study using a data collection technique of a questionnaire distributed through Google form with a sample size of 100 respondents processed with SPSS version 23. The data analysis uses multiple linear regression. The results of the hypothesis test show that: (1) trust affects purchase decisions; (2) security affects purchase decisions; (3) price does not affect purchasing decisions; (4) service quality does not affect purchasing decisions; and (5) risk perception affects purchase decision of E-commerce consumers through the Shopee website.Trust
The Impact of Work-Life Balance on Employee Work Quality Improvement in Nigeria

Purpose: The challenge of achieving a healthy work-life balance (WLB) is a persistent concern in many organizations, with only a minority of businesses taking proactive measures to address it. Consequently, it is imperative to assist workers in establishing a healthy work-life balance. The primary aim of this study is to analyze the impact of work-life balance on enhancing employees' work quality. The research attempted to provide answers to the following research questions: i) Does flexible work arrangements impact employee job quality? (ii) Do leave policies to contribute to enhancing employee job quality? (iii) Do opportunities for career advancement impact employee work quality? Methodology: The study employed epistemological research design, which concerns the logical inquiry and acquisition of knowledge reflecting on the researcher's perspective on the topic. The research used an inductive and interpretive methodology. Secondary data was obtained from Google Scholar, Research gate, and other open Access sources, to locate relevant and current publications for analysis and interpretation. Publications from 2012 and 2022 on WLB, Work Quality, Leave Policies, Career Progression, FWAs, and the impact of WLB on improving work quality considered as search variables. Findings: The findings showed a significant impact of Flexible Work Arrangements (FWAs) on the quality of employee work. Additionally, a positive correlation was observed between employee work quality and leave programs. Finally, the study's findings indicate that career development opportunities impact the quality of productive work. Recommendations: Consequently, the research suggests that adopting Flexible Work Arrangements (FWAs) by business managers could lead to an increase in employee contentment, a reduction in stress levels, and ultimately, an enhancement in work performance. The study also recommended that organizations provide employees with adequate and unobstructed access to leave and opportunities for career progression, as this can lead to increased job satisfaction.
Rotary Diffeomorphism onto Manifolds with Affine Connection

In this paper we will introduce a newly found knowledge above the existence and the uniqueness of isoperimetric extremals of rotation on two-dimensional (pseudo-) Riemannian manifolds and on surfaces on Euclidean space. We will obtain the fundamental equations of rotary diffeomorphisms from (pseudo-) Riemannian manifolds for twice-differentiable metric tensors onto manifolds with affine connections. MSC : 53B05, 53B20, 53B30, 53A05
On Existence of Common Fixed Points Under Lipschitz-Type Mapping Pairs with Applications

ABSTRACT In this paper, we propose some suﬃcient conditions to obtain the existence of common fixed points for a pair of self-mappings satisfying Lipschitz-type conditions in noncomplete metric space. Our results improve and extend the results of Pant [Common fixed points of Lipschitz-type mapping pairs, J. Math. Anal. Appl. 240, (1999), 280–283] and Khan et al. [Coincidences of Lipschitz-type hybrid maps and invariant approximation, Numer. Funct. Anal. Optim. 28(9–10), (2007), 1165–1177]. As an application of our results we solve an eigenvalue problem for operators defined on a normed space.
A role for Vps13-mediated lipid transfer at the ER-endosome contact site in ESCRT-mediated sorting

Endosomes are specialized organelles that function in the secretory and endocytic protein sorting pathways. Endocytosed cell surface receptors and transporters destined for lysosomal degradation are sorted into intralumenal vesicles (ILVs) at endosomes by Endosomal Sorting Complex Required for Transport (ESCRT) proteins. The endosomes (multivesicular bodies, MVBs) then fuse with the lysosome. During endosomal maturation, the number of ILVs increases, but the size of endosomes does not decrease despite consumption of the limiting membrane during ILV formation. Vesicle-mediated trafficking is thought to provide lipids to support MVB biogenesis. However, we have uncovered an unexpected contribution of a large bridge-like lipid transfer protein, Vps13, in this process. Here, we reveal that Vps13-mediated lipid transfer at ER-endosome contact sites is required for the ESCRT pathway. We propose that Vps13 may play a critical role in supplying lipids to the endosome, ensuring continuous ESCRT-mediated sorting during MVB formation.
Filter-aided extracellular vesicle enrichment (FAEVEr)

Extracellular vesicles (EVs), membrane-delimited nanovesicles that are secreted by cells into the extracellular environment, are gaining substantial interest due to their involvement in cellular homeostasis and their contribution to disease pathology. The latter in particular has led to an exponential increase in interest in EVs as they are considered to be circulating packages containing potential biomarkers and are also a possible biological means to deliver drugs in a cell-specific manner. However, several challenges hamper straightforward analysis of EVs as they are generally low abundant and reside in complex biological matrices. These matrices typically contain protein concentrations that vastly exceed those of the EV proteome and contain particles in the same size and density range (e.g. protein aggregates and apolipoprotein particles). Therefore, extensive EV isolation and purification protocols are imperative and many have been developed, including (density) ultracentrifugation, size-exclusion and precipitation methods. Here, we describe an approach based on 300 kDa MWCO filtration, which allows processing of multiple samples in parallel within a reasonable timeframe and at moderate cost. We demonstrate that our strategy is capable of quantitatively retaining EV particles on filters, whilst allowing extensive washing with relatively high percentages of the mild detergent TWEEN-20. In addition, we provide evidence that the retained EVs can be recuperated from the filter for qualitative studies or can be directly lysed on the filter for the recovery of the EV protein cargo for proteome analysis. Applying this strategy on MCF7 conditioned medium using different percentages of serum, we observed dramatic changes in the EV proteome.
The adaptation to standing long jump distance in parkour is performed by the modulation of specific variables prior and during take-off

The present study aimed at investigating different variables that can be manipulated prior to and during take-off, to execute a specific standing long jump (SLJ) distance, according to jump expertise in parkour practitioners (= traceurs). Fourteen healthy young traceurs were included and separated into two groups: beginners (BEG) and experts (EXP). Firstly, classical vertical jump battery was used to characterize participants arm use and leg efficiency. Secondly, standing long jump (SLJ) performances were analyzed at four distances: 70, 80, 90, and 100% of each participant’s maximal SLJ distance. The force-time curves of the ground reaction forces (GRF) and the center of pressure (CoP) trajectory were measured with a force platform during the jump impulses. Take-off speed, angle and jump trajectory were estimated. For all of the participants, take-off speed and angle, power output, and vertical GRF during jump preparation (counter movement) varied with distance. The EXP group exhibited greater backward CoP excursion, greater arm participation, greater take-off velocity and a greater modulation of take-off angle than BEG group. When comparing jumps of similar distance, EXP exhibited a more curvilinear trajectory with a higher peak than BEG. To conclude, different motor strategies can be adopted based on the jump distance, and these strategies can evolve as parkour experience increases.
Automatic bike sharing system planning from urban environment features

ABSTRACT The planning process for bike sharing systems is often complex, involving multiple stakeholders and several considerations: finding hotspots in the potential demand, and dimensioning the system, requires an intimate knowledge of urban mobility patterns and specific local features of the city. The significant costs associated with dynamic rebalancing of bike sharing systems, i.e. with moving bikes across the city to correct the demand imbalance and ensure that they are available where and when they are needed, make correct planning even more critical for the economic viability of the system. In this work, we consider urban environment data from multiple sources and different cities in Europe and the United States to design an automated planning pipeline to place stations in an area with no direct knowledge of the demand. The first step in the planning is to build models of activity patterns and correlate them with features of the urban environment such as land use and mass transit availability; these statistical models can then be used to expand an existing network or even create an entirely new one in a different city. A use case in New York City shows that our system can effectively plan a bike sharing system expansion, providing a valuable first step for the planning process and allowing system designers to identify gaps in existing systems and the locations of potential demand hotspots.
(Not) Feeling the Past: Boredom as a Racialized Emotion

This article centers boredom as a racialized emotion by analyzing how it can come to characterize encounters with histories of racial oppression. Drawing on data collected in two racially diverse South African high schools, I document how and why students framed the history of apartheid as boring. To do so, I capitalize on the comparative interest shown in the Holocaust, which they studied the same year. Whereas the Holocaust was told as a psychosocial causal narrative, apartheid was presented primarily through lists of laws and events. A lack of causal narrative hindered students’ ability to carry the story into the present and created a sense of disengagement. Boredom muted discussions of the ongoing legacies of the past and functioned as an emotional defense of the status quo. I discuss the implications for literatures on racialized emotions, collective memory, and history education.