Miracle-dz/UniFAR-FTUs huggingface dataset:
CURRENT APPLICATION OF ARTIFICIAL INTELLIGENCE TOOL CHAT GPT TO THE DEVELOPMENT OF ENGINEERING PROJECTS

Artificial intelligence applications of the limited memory type are currently becoming popular. They are applications that can learn because they store information and use it later to solve problems. These apps have a good grasp of language and can demonstrate not only in English. One of the best known in Chat GPT developed by the Open AI company but there are other alternatives. They are tools capable of processing the information they have available to resolve a question raised by the user using a natural language. The problems they solve are from different fields according to the requests of the users. The objective of this work is to verify the utility of Chat GPT in supporting the development of engineering projects. Therefore, it is convenient to check its capacity for drafting documents and for providing support in regulations, calculation formulas, and equipment selection. Also, it should have sufficient accuracy to save time in the development of projects. We will further develop these ideas throughout the article.
Multiple Criteria Districting Problems, Models, Algorithms, and Applications: The Public Transportation Paris Region Pricing System

Districting problems are of high importance in a wide scope of areas. Multiple criteria districting problems are a more realistic representation of the practical problems in the real-world. This paper deals with the problem of partitioning a territory in zones. Each zone is composed of a set of elementary territorial units or atoms. A district map is formed by partitioning the set of atoms in connected zones without inclusions. This problem can be modelled using the graph theory and the 0-1 mathematical programming concepts and techniques. Each atom is associated to a vertex of the graph, while a pair of contiguous atoms allows to define an edge of the graph. There are also some numerical values associated to the edges and/or vertices. The problem of enumerating all the efficient solutions for such a model is known as being NP-difficult, which “imposes” abandoning of exact methods to solve large-size instances. In this paper we propose a new method to approximate the efficient frontier based on an evolutionary algorithm with local search. The algorithm presents a new solution representation and the crossover/mutation operators. The algorithms were applied to a real-world problem of the Paris region public transportation.
Design, Development, and Testing of a Flexible Combined Heat and Power (F-CHP) System With 10-kV SiC MOSFET-Based Power Conditioning System (PCS) Converter

This paper discusses the design, development, and testing of a flexible combined heat and power (F-CHP) system. It includes two parts: the power conditioning system (PCS) converter, which connects the system to the grid and is the key component to provide grid support services, and the F-CHP central controller, which accommodates the control of local sources, local loads, and the PCS converter. The functions and structures of the central controller are discussed. The central controller’s system-level performances are verified with hardware-in-the-loop (HIL) tests, and the mode transition and grid transient performances are validated with power electronic converter-based hardware testbed (HTB) tests. The PCS converter is designed with 10-kV SiC MOSFETs. The grid requirements are considered in the 13.8-kV/1-MW PCS converter design, and the impact of different requirements on the converter design is identified. Also, converter scalability is studied with the paralleling operation. Two 13.8-kV/100-kW converter prototypes are developed to verify the converter design and scalability. The second prototype is an improved design of the first one; the volume is reduced by 49% and the efficiency at the rated output power is increased from 96.4% to 98.4%. The test results of the converter performances, grid support functions, and parallel operation are also discussed.
WireShape - A Hybrid Prototyping Process for Fast & Reliable Manufacturing of Inflatable Interface Props with CNC-Fabricated Heat–Sealing Tools

We present WireShape, a CNC-supported semi-manual rapid-proto-typing process to create robust inflatable objects. The resulting air chamber systems provide a basis for the construction of shape-changing and malleable user interfaces by integrating sensors, or to create soft robotic actuators. Our process leverages CNC-fabricated bent-wire shapes as custom heat sealing tools for reliable fusing of thermoplastic films or coated textiles. The tools can be reused multiple times and the heat sealing time for fabrication of an individual inflatable is independent of its size (e.g. the length of the two-dimensional welding path), which enables time efficient prototyping of high-quality inflatable structures in small series and at relatively low-cost. We demonstrate a custom CNC-machine for wire bending, a vector graphics interpreter to generate the machine specific CNC-data (G-Code) from 2D vector drawings and outline our fabrication toolchain. The capabilities and limitations of our approach are discussed and preliminary observations and fabrication results from initial workshop sessions are provided.
Isolation, Identification, and Evaluation of the Predatory Activity of Chinese Arthrobotrys Species towards Economically Important Plant-Parasitic Nematodes

The current investigation aimed to isolate and identify predatory fungal strains and evaluate their efficacy in mitigating the effects of plant-parasitic nematodes. We successfully isolated three distinct nematophagous fungal strains from soil samples, identified as Arthrobotrys megalosporus, A. oligospora, and A. sinensis, using conventional and molecular identification methodologies. In vitro trials illustrated the high capture efficiency of these fungi against plant-parasitic nematodes. Over an exposure period of 48 h to Aphelenchoides besseyi, Bursaphelenchus xylophilus, and Ditylenchus destructor, A. megalosporus (GUCC220044) displayed predation rates of 99.7%, 83.0%, and 21.1%, respectively. A. oligospora (GUCC220045) demonstrated predation rates of 97.3%, 97.3%, and 54.6%, and A. sinensis (GUCC220046) showed rates of 85.1%, 68.3%, and 19.0% against the same cohort of nematodes. The experimental outcomes substantiate that all three identified fungal strains demonstrate predatory activity against the tested nematodes, albeit with varying efficiencies.
Analysis of leadership styles in banking sector in North Cyprus: A model for banking sector in a small island economy

The purpose of this study was to examine the leadership styles among managers at functional levels and generate a new model for the growing sector in North Cyprus’ banking sector as its setting. A total number of 85 usable questionnaires were personally retrieved from managers in the research premises. The hypothesized relationships were tested using descriptive statistics in SPSS version 16. Overall, the results reveal that managers in the North Cyprus banking sector exhibit task-oriented leadership style. Importantly, while the older managers were found to be less people-oriented leaders, on the other hand, younger managers were found to be more task-oriented leaders. Surprisingly, the female managers were found to be more task-oriented leaders in this context. This research makes useful contributions to the current knowledge base and the related industry by exclusively generating a new model for the small island economies.
Change from face-to-face teaching and learning to online learning: A case of a cross-sectional study in a Kazakhstani medical University

Abstract The widespread development of modern technologies, particularly the internet, has triggered an explosive growth of distance learning. Due to the COVID-19 pandemic, moving to distance learning platforms to continue education has become necessary. Kazakhstan’s radical teaching and learning mode change from face-to-face to online has brought challenges and opportunities. The main aim of this study was to examine how lecturers and students at a Kazakhstani medical university adapt and cope with the online teaching and learning mode to suggest a sustainable model for online learning. A cross-sectional survey was administered with 40 third- and seventh-year students and 40 lecturers at a selected medical university in Kazakhstan to assess the participants’ distance-learning experiences. Complexity theory was adopted as the lens to interpret the findings to understand how the change in teaching and learning mode impacted lectures and students, how they adapted to the online learning environments, and how they cope with conditions of uncertainty. The study’s findings show that, although the transition to the distance mode of teaching and learning was a forced reality for educational institutions due to the quarantine measures, most respondents preferred distance learning to the traditional face-to-face mode, albeit with challenges. We further identified the challenges and opportunities encountered. The study findings would have far-reaching implications on change management, teaching practices, learning practices, and the university’s teaching and learning policy and strategy concerning online/distance learning sustainability going forward.
Jefferson Digital

Nitrogen excreted from body tissues impacts the calculation of multiple breath nitrogen washout (MBW N2 ) outcomes. The aim of this study was to determine the effect of tissue N 2 on MBW N2 outcomes in both healthy subjects and patients with CF and to assess whether it is possible to correct for tissue N 2 . The contribution of tissue N 2 to MBW N2 outcomes was estimated by comparing MBW N2 -derived functional residual capacity (FRC N2 ) to FRC measured by body plethysmography (FRC pleth ) and by comparing MBW outcome measures derived from MBW N2 and sulfur hexafluoride MBW (MBW SF6 ). Compared to plethysmography and MBW SF6 , MBW N2 overestimated FRC and lung clearance index (LCI). Application of mathematical tissue N 2 corrections reduced FRC N2 values closer to FRC pleth in health and reduced LCI N2 in both health and CF, but did not explain all of the differences observed between N 2 -dependent and -independent techniques. Use of earlier washout cut-offs could reduce the influence of tissue N 2. Applying tissue N 2 corrections to LCI N2 measurements did not significantly affect the interpretation of treatment effects reported in a previously published interventional trial. While tissue N 2 excretion likely has an impact on MBW N2 outcomes, better understanding of the nature of this phenomenon is required before routine correction can be implemented into current MBW N2 protocols.
The Influence of Emotional Wellness on Student Success Pre-Pandemic

: Educational psychology has always directed research toward improving student learning and development while needing to take student individuality into account. This study explores the influence that emotional wellness has on student success. Student success in the context of this study was considered to be a combination of academic achievement, social wellness, and behavior. Emotional wellness was categorized as a combination of self-esteem and stress-resistance. There were two research questions: (1) is there a relationship between student emotional wellness and student success? ; and (2) can emotional wellness predict student success? A sample of 343 first-year university students (72% female) completed a demographic survey (age, gender, ethnicity, and GPA) and four self-report measures: self-esteem, stress, sociability, and self-care and safety. Correlation and linear regression analyses indicated that emotional wellness had a significant relationship with student success. Results supported the hypotheses, which suggested that individuals with higher emotional wellness were more likely to have higher student success. The discussion section presented implications, limitations, and suggestions for further research.
TROPICAL COMPLEXITY, SIDON SETS

Many dynamic programming algorithms for discrete 0-1 optimization problems are just special (recursively constructed) tropical (min,+) or (max,+) circuits. A problem is homogeneous if all its feasible solutions have the same number of ones. Jerrum and Snir [ J ACM 29 (1982), pp. 874– 897] proved that tropical circuit complexity of homogeneous problems coincides with the monotone arithmetic circuit complexity of the corresponding polynomials. So, lower bounds on the monotone arithmetic circuit complexity of these polynomials yield lower bounds on the tropical complexity of the corresponding optimization problems. But the situation with nonhomogeneous problems is entirely diﬀerent: here the gap between their tropical and arithmetic complexities can be even exponential. In this paper, we improve two classical lower bounds for monotone arithmetic circuits— Schnorr’s bound and Hyaﬁl–Valiant’s bound—and use these improvements to derive general lower bounds for the tropical circuit complexity of nonhomogeneous optimization problems. In particular, we show that optimization problems, whose sets of feasible solutions are cover free, have large tropical complexity.
RhoA Is a Crucial Regulator of Myoblast Fusion

Satellite cells (SCs) are adult muscle stem cells that are mobilized when muscle homeostasis is perturbed. Here we show that RhoA in SCs is indispensable to have correct muscle regeneration and hypertrophy. In particular, the absence of RhoA in SCs prevents a correct SC fusion both to other RhoA-deleted SCs (regeneration context) and to growing control myofibers (hypertrophy context). We demonstrated that RhoA is dispensable for SCs proliferation and differentiation; however, RhoA-deleted SCs have an inefficient movement even if their cytoskeleton assembly is not altered. Proliferative myoblast and differentiated myotubes without RhoA display a decreased expression of Chordin, suggesting a crosstalk between these genes for myoblast fusion regulation. These findings demonstrate the importance of RhoA in SC fusion regulation and its requirement to achieve an efficient skeletal muscle homeostasis restoration.
Predicting Long-term Neurocognitive Outcome after Pediatric Intensive Care Unit Admission - Exploring the Potential of Machine Learning

Purpose: For successful prevention and intervention, it is important to unravel the complex constellation of factors that affect neurocognitive functioning after Pediatric Intensive Care Unit (PICU) admission. This study aims (1) to elucidate the potential relevance of patient and PICU-related characteristics for long-term neurocognitive outcome after PICU admission; and (2) to determine the potential of machine learning to improve outcome prediction. Methods: In this single-center cohort study we investigated 65 children aged 6-12 years with previous PICU admission for bronchiolitis (age ≤ 1 year). Patient and PICU-related characteristics used for the prediction models were: demographic characteristics, perinatal and disease parameters, laboratory results and intervention characteristics, including hourly validated mechanical ventilation parameters. Neurocognitive outcome was measured by intelligence and computerized neurocognitive testing. Prediction models were developed for each of the neurocognitive outcomes using Regression Trees, k-Nearest Neighbors and conventional Linear Regression analysis. Results: Lower intelligence was predicted by lower birth weight and lower socioeconomic status (R 2 = 25.9%). Poorer performance on the Speed and Attention domain was predicted by younger age at follow-up (R 2 = 53.5%). Poorer verbal memory was predicted by lower birth weight, younger age at follow-up, and greater exposure to acidotic events (R 2 = 50.6%). The machine learning models did not reveal added value in terms of model performance as compared to Linear Regression. Conclusions: The �ndings of this study suggest that in children with previous PICU admission for bronchiolitis: (1) lower birth weight and lower socioeconomic status are associated to poorer neurocognitive outcome; and (2) greater exposure to acidotic events during PICU admission is associated with poorer verbal memory outcome. Findings of this study provide no evidence for added value of machine learning models as compared to linear regression analysis in the prediction of long-term neurocognitive outcome in a relatively small sample of children.
PREVALENCE AND RISK FACTORS OF NEONATAL JAUNDICE AMONG NEONATES 0-28 DAYS OLD, IN KIAMBU LEVEL 5 HOSPITALS, KIAMBU COUNTY, KENYA

: Neonatal jaundice (NNJ) is the yellowish discoloration of the skin, mucous membrane, and sclera due excessive bilirubin deposition. Jaundice remains the leading cause of hospital readmission among the neonates in their first 2 weeks of life. Its mortality stands at 7% globally, despite various therapeutic and preventive measures put in place. The purpose of this study is to determine the prevalence and risk factors of neonatal jaundice in Kiambu county hospital. An analytical cross-sectional study design has been used in this study. Simple random sampling technique was used to obtain the study participants and 270 participants were recruited into the study. Data collected were analyzed using the Statistical Package for the Social sciences (SPSS) version 28 through descriptive and inferential statistical tests. Out of 270 neonates in this study, 43.33% representing 117 neonates were diagnosed with neonatal Jaundice. Neonatal factors including; birth weight p=0.015, gestational age p<0.001, difficulty in breastfeeding p=0.001, duration of sunlight exposure p<0.001, and neonatal sepsis<0.001 were statistically significant. Statistically significant maternal factors include; use of alcohol during pregnancy p=0.005, antenatal infections p=0.003, and mode of delivery p=0.026. The maternal knowledge of neonatal jaundice was assessed as being adequate for most of the caregivers of the neonates. In conclusion, the prevalence of neonatal Jaundice in Kiambu County hospital was relatively high at 43.33%. The associated risk factors include neonatal gestational age, neonatal sepsis, difficulty breastfeeding, duration of sunlight exposure, maternal antenatal infections, mode of delivery, and use of alcohol during pregnancy. Rigorous maternal education on prevention of neonatal jaundice is recommended during the antenatal, intrapartum and postnatal period. Further research on prevalence and risk factors associated with neonatal jaundice in other county referral hospitals in Kenya is recommended.
The different faces of

Help-seeking related to depression and suicidal ideations is frequent in internet forums. Forum threads concerning these topics often receive much interest through active replies but are also read by numerous passive users. Previous research indicates that such interactions may be helpful for the help-seeker, even if the underlying mechanisms are less clear. Meanwhile, some studies also suggest that online forum interactions can be less helpful or have a negative impact on the help-seeker. This study examines how online help-seeking is responded to through a qualitative thematic analysis of 72 discussion threads comprising 1,475 posts. We identify six themes that characterize different types of responses: Giving Tips, Teaching, Coaching, Consoling, Sharing One’s Own Experiences, and Bullying. These response types represent different strategies in their attempts to provide help, but sometimes also appear less helpful or even malicious. The responses are heterogeneous and often contradictory, with very different tones, spanning over varied suggestions and topics, leaving the help-seeker to interpret and make sense of the messages.
The Impact of Internal Marketing Practice on Employee’s Satisfaction

Background: Internal marketing was explored to satisfy the employees and to solve the delivering service quality. The researcher takes ‘empowerment, training programs, incentive and rewards and internal communication in an account in order to investigate the internal marketing practice. Objective: The objective of this paper is to study the effect of internal marketing practice on employee satisfaction in the bank of Khartoum, to investigate how internal marketing concept is implemented in the bank of Khartoum in Sudan. Results: A sample of 105 questionnaire was distributed to the employees in their workplace 85 were found valid for statistical evaluation. In order to check the study hypotheses and to attain its goal, the applied mathematics Package for science Program (SPSS) was used. The result shows that internal communication found to be the most significant effect the practicing of internal marketing, followed by incentive and reward, empowerment and training program. Conclusion: This study focus on four underpinning for developing employee satisfaction, it recommended that future research should extend the satisfaction underpinning and apply this study to other banks in Sudan or elsewhere especially comparison studies about this subject.
Varietal utility and patriotic preference : the case of European agriculture

We suggest that opportunity cost estimates of the Common Agricultural Policy (CAP) may be overstated, with potential allocative efficiency gains offset by negative utility effects associated with the loss of domestic food varieties. This is based on an application of the theoretical result that protection of an industry in the presence of product differentiation and home-bias can be welfare-improving. To illustrate the effects of varietal diversity in foods on the economic cost of the CAP, we incorporate asymmetry in consumers’ preferences, based on region of origin and characterised by a single preferred (domestic) variety, in a CGE trade model with imperfectly-competitive food processing sectors and explicit representation of policy interventions. We show that consumer preference for domestically produced foods can create varietal utility in the EU sufficient to balance the economic cost of the CAP as conventionally measured. This varietal effect is most pronounced in meat processing which benefits from particularly high levels of tariff protection. However, an enlarged efficiency loss to the EU economy, via a greater misallocation of resources, means that the overall cost of the CAP is not eliminated. Moreover, whilst a varietal effect may mitigate the cost to the EU, universal application of the preference structure imposes an additional cost of the CAP on the rest of the world, arising effectively from a global redistribution of varietal utility. Thus, for the world as a whole, the net impact of the varietal effect is negligible, though the distributional impact, as might be expected, is much greater. Protagonists of the CAP who may wish to cite varietal utility as a benefit hitherto overlooked, need to be mindful of the global implications.
Assemblages of mesozooplankton in Baler Bay, Aurora, Northern Philippines.

Composition, diversity, abundance of mesozooplankton and their relation with the hydrological conditions of the waters in Baler Bay, Aurora, Northern Philippines were compared. A total of 122 taxa belonging to 9 major groups were categorized. Copepoda comprises the chief constituent of the mesozooplankton community with Canthocalanus pauper, Oncaea venusta, Centropages furcatus, Acrocalanus gibber, Calanopia elliptica and Candacia catula being the most abundant and widely distributed copepods in the said area. Using several diversity indices, high diversity and evenness but low dominance values in the mesozooplankton taxa was observed in the five sampling stations. Results of Kruskal-Walis Test revealed significant differences (p<0.05) in the mesozooplankton relative abundance between the sampling stations. Further, results of Canonical Correspondence Analysis revealed total suspended solids (TSS) in influencing the mesozooplankton abundance. In view of the role of copepods as key contributors of the marine zooplankton and their position in the marine food webs, the present findings are therefore important in understanding the dynamics of any marine ecosystems and are vital in terms of managing and conserving the marine resources.