Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Causal Factors towards Internal Educational Quality Assurance of a University Course Tier

This study investigated the various factors affecting the operational efficiency of the internal educational quality assurance at Rajamangala University of Technology. It particularly assessed the strategic management, transformational leadership, motivation, and operational efficiency of the internal quality assurance. It also tested the consistency of the causal model of factors affecting operational efficiency of internal educational quality assurance and the influence of strategic management, transformational leadership, and motivation on the internal educational quality assurance. Data collected from the 236 lecturers of the different courses from the nine (9) campuses of the university were analyzed using the path analysis. The results revealed that the respondents have high regards on the strategic management, transformational leadership, and motivation. The hypothesis testing showed that the causal model of factors was consistent with the empirical data. The strategic management and motivation directly affected operational efficiency of the internal educational quality assurance with statistical significance level of 0.05 and 0.01, respectively. Meanwhile, transformational leadership affected the operational efficiency of internal educational quality assurance at statistically insignificant level. The results of the study would be useful for the enhancement of the internal quality assurance practices of universities in Thailand.
Anticipating and Adapting to the Future Impacts of Climate Change on the Health, Security and Welfare of Low Elevation Coastal Zone (LECZ) Communities in Southeastern USA

Low elevation coastal zones (LECZ) are extensive throughout the southeastern United States. LECZ communities are threatened by inundation from sea level rise, storm surge, wetland degradation, land subsidence, and hydrological flooding. Communication among scientists, stakeholders, policy makers and minority and poor residents must improve. We must predict processes spanning the ecological, physical, social, and health sciences. Communities need to address linkages of (1) human and socioeconomic vulnerabilities; (2) public health and safety; (3) economic concerns; (4) land loss; (5) wetland threats; and (6) coastal inundation. Essential capabilities must include a network to assemble and distribute data and model code to assess risk and its causes, support adaptive management, and improve the resiliency of communities. Better communication of information and understanding among residents and officials is essential. Here we review recent background literature on these matters and offer recommendations for integrating natural and social sciences. We advocate for a cyber-network of scientists, modelers, engineers, educators, and stakeholders from academia, federal state and local agencies, non-governmental organizations, residents, and the private sector. Our vision is to enhance future resilience of LECZ communities by offering approaches to mitigate hazards to human health, safety and welfare and reduce impacts to coastal residents and industries.
Using Efficient Steering Techniques

The single vehicle off-road incidence continues to be the prime crash resulting in youth fatalities. Crash statistics indicate driver error involving incorrect steering inputs are the prime reason for off-road incidence. Methods used to control the steering inputs for a new driver are often outdated and ineffective for avoiding collisions. Modern vehicle technology is rapidly changing the demands of driver steering inputs. The steering wheel and mechanism to change the direction of an automobile is changing dramatically when compared to historical vehicles. The size of the wheel, type of input needed, responsiveness of steering wheel to direction change, changes in steering ratios, effort needed to turn the wheel, and recommendations relative to hand position on the steering wheel have become more flexible. In order to maximize vehicle control, efficient steering input involves balancing the steering wheel to avoid sudden movements and minimization of steering wheel reversals.
Digital control strategies for DC/DC SEPIC converters towards integration

The use of SMPS (Switched mode power supply) in embedded systems is continuously increasing. The technological requirements of these systems include simultaneously a very good voltage regulation and a strong compactness of components. SEPIC ( Single-Ended Primary Inductor Converter) is a DC/DC switching converter which possesses several advantages with regard to the other classical converters. Due to the difficulty in control of its 4th-order and non linear property, it is still not well-exploited. The objective of this work is the development of successful strategies of control for a SEPIC converter on one hand and on the other hand the effective implementation of the control algorithm developed for embedded applications (FPGA, ASIC) where the constraints of Silicon surface and the loss reduction factor are important. To do it, two non linear controls and two observers of states and load have been studied: a control and an observer based on the principle of sliding mode, a deadbeat predictive control and an Extended Kalman observer. The implementation of both control laws and the Extended Kalman observer are implemented in FPGA. An 11-bit digital PWM has been developed by combining a 4-bit Δ-Σ modulation, a 4-bit segmented DCM (Digital Clock Management) phase-shift and a 3-bit counter-comparator. All the proposed approaches are experimentally validated and constitute a good base for the integration of embedded switching mode converters
Mitigation of Power Quality Issues using UPQC with STF-SRF Technique Under Adverse Voltage Source Condition

105 Abstract— A three-phase three-wire of Unified Power Quality Conditioner (UPQC) is used to compensate for the power quality issues that exist in the point of common coupling (PCC) on the microgrid (MG) of the power system and the harmonics penetrated by the non-linear loads. This paper presents an amalgamation of a self-tuning filter (STF) with synchronous reference framework (SRF) of direct-quadrature-zero (dq0) fundamental based on UPQC to enhance power quality at the PCC under adverse voltage source condition (unbalanced and distorted source voltage). The modified SRF technique integrated the selftuning filter (STF) with the unit vector generator (UVG) technique for designing the control phase synchronization algorithm of UPQC. Therefore, a phase-locked loop (PLL) necessity is omitted. The STF-UVG is used to produce the synchronization phases reference which can lead to UPQC controller generated reference current and voltage in phase with the operating power system. The suggested STF-SRF technique is compared with the traditional SRF technique by considering several case scenarios of source voltage in MATLAB-Simulink software are discussed in detail.
Effect of Endogenous Failure Events on the Survivability of Turboelectric Distributed Propulsion System

Recent advancements in aircraft electrification have led to the introduction of turboelectric distributed propulsion (TeDP). For instance, NASA's N3X airplane aims to curb jet fuel emissions with the aid of TeDP. However, it is crucial to analyze the survivability of the TeDP system during extreme conditions. The endogenous failure events are of specific interest as they were found to cause a significant number of accidents for commercial aircraft. While the distribution reconfiguration is necessary to meet the critical load demands under extreme failure events, it can also create a transient overload condition in the turboshaft engine. The power system survivability is further deteriorated in the presence of constant power loads. In this article, a mathematical analysis of the survivability of the system is presented to make the aircraft power system highly resilient to endogenous failure events. A power system collapse mitigation strategy is proposed by adding an energy storage system. Moreover, the analytical expressions are formulated to size the energy storage unit to prevent the system collapse. Various failure conditions are modeled using PSCAD/EMTDC to study the minimum energy storage required to prevent system collapse.
An essential ER-resident N-acetyltransferase in Plasmodium falciparum

N-terminal acetylation is a common eukaryotic protein modification that involves the addition of an acetyl group to the N-terminus of a polypeptide. This modification is largely performed by cytosolic N-terminal acetyltransferases (NATs). Most associate with the ribosome, acetylating nascent polypeptides co-translationally. In the malaria parasite Plasmodium falciparum, exported effectors are translated into the ER, processed by the aspartic protease plasmepsin V and then N-acetylated, despite having no clear access to cytosolic NATs. Here, we used post-transcriptional knockdown to investigate the most obvious candidate, Pf3D7_1437000. We found that it co-localizes with the ER-resident plasmepsin V and is required for parasite growth. However, depletion of Pf3D7_1437000 had no effect on protein export or acetylation of the exported proteins HRP2 and HRP3. Pf3D7_1437000-depleted parasites arrested later in their development cycle than export-blocked parasites, suggesting the protein’s essential role is distinct from protein export.
Dibenzofuran Derivatives Inspired from Cercosporamide as Dual Inhibitors of Pim and CLK1 Kinases

Pim kinases (proviral integration site for Moloney murine leukemia virus kinases) are overexpressed in various types of hematological malignancies and solid carcinomas, and promote cell proliferation and survival. Thus, Pim kinases are validated as targets for antitumor therapy. In this context, our combined efforts in natural product-inspired library generation and screening furnished very promising dibenzo[b,d]furan derivatives derived from cercosporamide. Among them, lead compound 44 was highlighted as a potent Pim-1/2 kinases inhibitor with an additional nanomolar IC50 value against CLK1 (cdc2-like kinases 1) and displayed a low micromolar anticancer potency towards the MV4-11 (AML) cell line, expressing high endogenous levels of Pim-1/2 kinases. The design, synthesis, structure–activity relationship, and docking studies are reported herein and supported by enzyme, cellular assays, and Galleria mellonella larvae testing for acute toxicity.
TonB-dependent receptor epitopes expressed in M. bovis BCG induced significant protection in the hamster model of leptospirosis

Abstract Leptospirosis is an emerging infectious disease caused by pathogenic Leptospira spp. A universal vaccine against leptospirosis is likely to require highly conserved epitopes from pathogenic leptospires that are exposed on the bacterial surface and that generate a protective and sterilizing immune response. Our group recently identified several genes predicted to encode TonB-dependent receptors (TBDR) in Leptospira interrogans using a reverse vaccinology approach. Three leptospiral TBDRs were previously described and partially characterized as ferric-citrate, hemin, and cobalamin transporters. In the current study, we designed a fusion protein composed of predicted surface-exposed epitopes from three conserved leptospiral TBDRs. Based on their three-dimensional structural models and the prediction of immunogenic regions, nine putative surface-exposed fragments were selected to compose a recombinant chimeric protein. A Mycobacterium bovis BCG strain expressing this chimeric antigen encoded in the pUP500/P pAN mycobacterial expression vector was used to immunize Syrian hamsters. All animals (20/20) vaccinated with recombinant BCG survived infection with an endpoint dose of L. interrogan s ( p < 0.001). No animal survived in the negative control group. Immunization with our recombinant BCG elicited a humoral immune response against leptospiral TBDRs, as demonstrated by ELISA and immunoblot. No leptospiral DNA was detected by lipL32 qPCR in the kidneys of vaccinated hamsters. Similarly, no growth was observed in macerated kidney cultures from the same animals, suggesting the induction of a sterilizing immune response. Design of new vaccine antigens based on the structure of outer membrane proteins is a promising approach to overcome the impact of leptospirosis by vaccination. Key points • Predicted surface-exposed epitopes were identified in three leptospiral TBDRs. • An M. bovis BCG strain expressing a chimeric protein (rTBDRchi) was constructed. • Hamsters vaccinated with rBCG:TBDRchi were protected from lethal leptospirosis. Graphical abstract
AI-Crime Hunter: An AI Mixture of Experts for Crime Discovery on Twitter

Maintaining a healthy cyber society is a big challenge due to the users’ freedom of expression and behaving. It can be solved by monitoring and analyzing the users’ behavior and taking proper actions towards them. This research aims to present a platform that monitors the public content on Twitter by extracting tweet data. After maintaining the data, the users’ interactions are analyzed using Graph Analysis methods. Then the users’ behavioral patterns are analyzed by applying Metadata Analysis, in which the timeline of each profile is obtained; also, the time-series behavioral features of users are investigated. Then in the Abnormal Behavior Detection Filtering component, the interesting profiles are selected for further examinations. Finally, in the Contextual Analysis component, the contents will be analyzed using natural language processing techniques; A binary text classification model (SVM + TF-IDF with 88.89% accuracy) for detecting if the tweet is related to crime or not. Then, a sentiment analysis method is applied to the crime-related tweets to perform aspect-based sentiment analysis (DistilBERT + FFNN with 80% accuracy); because sharing positive opinions about a crime-related topic can threaten society. This platform aims to provide the end-user (Police) suggestions to control hate speech or terrorist propaganda.
Antenna-coupled Superconducting Bolometers for Observations of the Cosmic Microwave Background Polarization

We describe the development of a novel millimeter-wave cryogenic detector. The device integrates a planar antenna, superconducting transmission line, bandpass filter, and bolometer onto a single silicon wafer. The bolometer uses a superconducting Transition-Edge Sensor (TES) thermistor, which provides substantial advantages over conventional semiconductor bolometers. The detector chip is fabricated using standard micro-fabrication techniques.This highly-integrated detector architecture is particularly well-suited for use in the development of polarization-sensitive cryogenic receivers with thousands of pixels. Such receivers are needed to meet the sensitivity requirements of next-generation cosmic microwave background polarization experiments.The design, fabrication, and testing of prototype array pixels are described. Preliminary considerations for a full array design are also discussed. A set of on-chip millimeter-wave test structures were developed to help understand the performance of our millimeter-wave microstrip circuits. These test structures produce a calibrated transmission measurement for an arbitrary two-port circuit using optical techniques, rather than a network analyzer. Some results of fabricated test structures are presented.
The association between intravascular ultrasound-derived echo-attenuation and quantitative flow ratio in intermediate coronary lesions.

Background The clinical relevance of moderate coronary stenosis is determined by its morphological characteristics and physiological significance. We investigated the relationship between high-risk plaque characteristics detected by intravascular ultrasound and functional significance assessed with quantitative flow ratio (QFR) in intermediate coronary lesions. Methods QFR was retrospectively analyzed in 352 intermediate lesions from 330 patients undergoing intravascular ultrasound examination. The functional significance was defined as QFR ≤0.8. High-risk plaque morphologies including plaque rupture, echo-lucent, echo-attenuation, and spotty calcification were identified, and attenuation indices including maximum angle, attenuation length, and superficial attenuation were determined. Clinically relevant echo-attenuation was defined as an attenuation with a minimum lumen area ≤4.0 mm2 and plaque burden ≥70%. Results The prevalence of echo-attenuation was higher (63.0% vs. 37.6%, P=0.001) and attenuation length was longer (12.8±10.3 vs. 8.0±5.8 mm, P=0.015) in lesions with QFR ≤0.8 compared to those with QFR >0.8, associated with a higher rate of clinically relevant echo-attenuation (35.2% vs. 10.4%, P<0.001). On multivariable analysis, the presence of echo-attenuation was an independent predictor of QFR ≤0.8 [odds ratio (OR) 3.162, 95% confidence interval (CI): 1.263-7.917, P=0.014], whereas attenuation length was weakly correlated with QFR value (β=-0.185, B=-0.002, 95% CI: -0.004 to -0.001, P=0.001). Receiver-operating characteristic curve analysis revealed that the best cutoff of QFR in predicting clinically relevant echo-attenuation was 0.82 [area under the curve (AUC) =0.696, 95% CI: 0.616-0.775, P<0.001]. Conclusions The presence of intravascular ultrasound-derived echo-attenuation confers an increased risk of QFR-defined functional significance in intermediate coronary lesions. Keywords Coronary artery disease; intermediate coronary lesion; quantitative flow ratio (QFR); intravascular ultrasound (IVUS); echo-attenuation.
Benefits of Combining Physical Therapy with Occupational Therapy in Hip Arthroplasty

(1) Background: Hip arthroplasty (HA) is a surgery that replaces the damaged hip joint with an artificial implant called a hip prosthesis. The increase in life expectancy correlated with the population aging level, to which the increase in the number of prosthetic interventions among the young population is added, translates to the imperative need to analyze the quality of life beyond the immediate postoperative period. Strict adherence to an individualized rehabilitation program (IRP), and adapted to each patient, is followed by an improved quality of life. The main goal is the recovery of the patient with HA. This study was aimed to demonstrate that an IRP, represented by physical therapy associated with occupational therapy, improves the quality of life of patients with HA; (2) Methods: In this study, conducted between 2019 and 2021, 50 patients with HA were divided into two groups: study group—group A (25 subjects compliant with the IRP) and control group—group B (25 subjects, non-compliance with the IRP). To evaluate the two study groups, we monitored the evolution of the modified Harris hip score (mHHS) in both hips (arthroplasty hip (AH), contra lateral hip (CH)), for four months, respectively 30 days before the surgery (T0) and at 90 days after the surgery (T1); (3) Results: We notice significant differences in mHHS values at 90 days-T1 after surgery, both on AH in favor of subjects from group A vs. group B (p = 0.030) and on CH, where mHHS values were statistically higher in group A compared to group B (p < 0.001). The results of our study outline at T1 moment, both on the AH (p = 0.030) and on the CH (p < 0.001), the fact that mHHS values were statistically higher in patients included in group A compared to group B. In terms of the results for mHHS, comparing AH with CH, it is noted that the number of subjects who had a good or excellent mHHS result in group A versus group B is statistically significant in the case of CH (group A: 23 (92%) vs. group B: 11 (44%), p = 0.039); (4) Conclusions: The study reveals clear advantages of HA in both hips, both in subjects who complied with the IRP and those who did not comply; the higher therapeutic benefits of IRP are outlined at the level of CH compared to AH; in patients who comply with the IRP, the mHHS parameters that have improved in both CH and AH are pain, leaning, and shoes and socks activities; in addition, limping was reduced in CH.
Multi-objective optimisation of a hydrogen supply chain

Hydrogen produced from renewable sources and used in fuel cells both for mobile and stationary applications constitutes a very promising energy carrier in a context of sustainable development. Yet the strategic roadmaps that were currently published about the energy potentialities of hydrogen at European, national and regional level as well as the analysis of the scientific publications in this field have identified the lack of infrastructures as a major barrier to the development of a « hydrogen » economy. This study focuses on the development of a methodological framework for the design of a hydrogen supply chain (HSC) (production, storage and transportation). The formulation based on mixed integer linear programming involves a multi-criteria approach where three objectives have to be optimised simultaneously, i.e., cost, global warming potential and safety risk, either at national or regional scale. This problem is solved by implementing lexicographic and Ɛ-constraint methods. The solution consists of a Pareto front, corresponding to different design strategies in the associated variable space. Multiple choice decision making based on M-TOPSIS (Modified Technique for Order Preference by Similarity to Ideal Solution) analysis is then selected to find the best compromise. The mathematical model is applied to a case study reported in the literature survey and dedicated to Great Britain for validation purpose, comparing the results between mono- and multi-objective approaches. In the regional case, the modelling and optimisation of the HSC in the Midi-Pyrenees region was carried out in the framework of the project “H2 as a green fuel”. A mono/multi period problem is treated with different optimisation scenarios using Ɛ-constraint and lexicographic methods for the optimisation stage. The geographic information system (GIS) is introduced and allows organising, analysing and mapping spatial data. The optimisation of the HSC is then applied to the national case of France. The objective is twofold: on the one hand, to examine if the methodology is robust enough to tackle a different geographic scale and second to see if the regional approach is consistent with the national scale. In this case study, the ArcGIS® spatial tool is used before optimisation to identify the geographic items that are further used in the optimisation step. A scenario with an economic cycle is also considered. Mono- and multi-objective optimisations exhibit some differences concerning the degree of centralisation of the network and the selection of the production technology type and size. The obtained results confirm that different spatial and temporal scales are required to encompass the complexity of the problem.