Miracle-dz/UniFAR-FTUs huggingface dataset:
Pathways Linking the Big Five to Psychological Distress: Exploring the Mediating Roles of Stress Mindset and Coping Flexibility

Personality affects the vulnerability to the emotional symptoms of depression and anxiety. This study investigated whether stress mindset (general belief about the nature of stress) and coping flexibility (the ability to terminate ineffective coping strategies and adopt alternative ones) mediate the relations of the Big Five personality traits to psychological distress. A total of 260 undergraduate students (60.4% female) in Singapore completed self-reported questionnaires. A series of path analyses was performed. Firstly, a dual-pathway model of stress coping was established, which consisted of (a) a stress–threat–distress pathway where a stress-is-a-threat mindset mediated the association between stressful experiences and psychological distress and (b) a challenge–flexibility–enhancement pathway where coping flexibility mediated the relation of a stress-is-a-challenge mindset to a lower level of psychological distress, without being influenced by stressful experiences. Furthermore, Neuroticism was associated with the stress–threat–distress pathway, with stressful experiences and a stress-is-a-treat mindset mediating the relation of Neuroticism to psychological distress. Conscientiousness was associated with the challenge–flexibility–enhancement pathway, with a stress-is-a-challenge mindset and coping flexibility mediating the relation of Conscientiousness to less psychological distress. Extraversion, Agreeableness, and Openness were directly associated with greater coping flexibility. The findings enrich the literature on personality and stress coping and inform future interventions to promote mental health.
Synchronisation of bistatic radar using chaotic AM and chaos-based FM waveforms

The authors developed a technique to synchronise a bistatic radar that uses a chaotic system to generate and process either wideband amplitude modulated (AM) or frequency modulated (FM) waveforms thereby extracting high-resolution information from the targets. For chaotic AM bistatic radar, a generalised projective synchronisation approach that includes a driving oscillator at the transmitter and a response oscillator at the receiver is considered. The receiver accepts a scaled version of the transmitted waveform where the scaling factor α accounts for space propagation losses that may not be known a priori. However, AM synchronisation is highly susceptible to noise. Alternatively, FM bistatic radar is implemented with a chaos-based FM waveform. Demodulation of this waveform using a phase lock loop is required to recover the instantaneous frequency which represents a chaotic state variable. The recovered and transmitter instantaneous frequencies are synchronised by using either generalised projective synchronisation or complete replacement synchronisation. The synchronised output is then used to reconstruct the FM waveform. They show that the short-time cross-correlation of the transmitted and reconstructed waveforms is high and its self-noise is negligible. Through entropy analysis of the cross-correlogram, they found that the bistatic FM radar performs better than the bistatic AM radar.
Indoor Localization Using Uncooperative Wi-Fi Access Points

Indoor localization using fine time measurement (FTM) round-trip time (RTT) with respect to cooperating Wi-Fi access points (APs) has been shown to work well and provide 1–2 m accuracy in both 2D and 3D applications. This approach depends on APs implementing the IEEE 802.11-2016 (also known as IEEE 802.11mc) Wi-Fi standard (“two-sided” RTT). Unfortunately, the penetration of this Wi-Fi protocol has been slower than anticipated, perhaps because APs tend not to be upgraded as often as other kinds of electronics, in particular in large institutions—where they would be most useful. Recently, Google released Android 12, which also supports an alternative “one-sided” RTT method that will work with legacy APs as well. This method cannot subtract out the “turn-around” time of the signal, and so, produces distance estimates that have much larger offsets than those seen with two-sided RTT—and the results are somewhat less accurate. At the same time, this method makes possible distance measurements for many APs that previously could not be used. This increased accessibility can compensate for the decreased accuracy of individual measurements. We demonstrate here indoor localization using one-sided RTT with respect to legacy APs that do not support IEEE 802.11-2016. The accuracy achieved is 3–4 m in cluttered environments with few line-of-sight readings (and using only 20 MHz bandwidths). This is not as good as for two-sided RTT, where 1–2 m accuracy has been achieved (using 80 MHz bandwidths), but adequate for many applications A wider Wi-Fi channel bandwidth would increase the accuracy further. As before, Bayesian grid update is the preferred method for determining position and positional accuracy, but the observation model now is different from that for two-sided RTT. As with two-sided RTT, the probability of an RTT measurement below the true distance is very low, but, in the other direction, the range of measurements for a given distance can be much wider (up to well over twice the actual distance). We describe methods for formulating useful observation models. As with two-sided RTT, the offset or bias in distance measurements has to be subtracted from the reported measurements. One difference is that here, the offsets are large (typically in the 2400–2700 m range) because of the “turn-around time” of roughly 16 μs (i.e., about two orders of magnitude larger than the time of flight one is attempting to measure). We describe methods for estimating these offsets and for minimizing the effort required to do so when setting up an installation with many APs.
Effectivity of Distance Learning in the Training of Basic Surgical Skills—A Randomized Controlled Trial

Background: Distance learning is an interactive way of education when teachers and students are physically separated. Our purpose was to examine its effectivity in training of basic surgical techniques and to provide an alternative sustainable methodology for the training of medical professionals. Methods: Sixty students were involved in our single blinded randomized controlled study. Six homogenized groups were created then randomized into three groups of distance learning and three groups of in-person teaching. The groups completed the same curriculum using our own “SkillBox”. All students took the same pre- and post-course test evaluated blindly. The students filled out an online feedback form after the course. A financial analysis was also made. Results: There was no significant difference in the post-course exam results (distance 28.200 vs. in-person 25.200). We managed to achieve significantly better improvements in the distance learning of suturing (distance 19.967 vs. in-person 15.900, p = 0.043). According to 93% of the study group students, the quality of teaching did not decrease compared to the traditional classes. Conclusion: The results of the students improved similarly in distance learning and in-person education. The online form of teaching was received positively among the students; they found it an effective and good alternative.
Exploratory Study on the Prevalence of Speech Sound Disorders in a Group of Valencian School Students Belonging to 3rd Grade of Infant School and 1st Grade of Primary School

Dyslalia or sound speech disorder is the most common speech production difficulty among school children. This epidemiological study aims to know the prevalence of SSD in school children and to analyze the relationship between articulatory disorders and bad oral habits, age, gender and socioeconomic situation. Two hundred and ninety children between 4 and 7 years old were evaluated by means of the Marc Monfort Test, a myofunctional test, and a questionnaire was applied to families. The results show that 51.4% of the schoolchildren present SSD. The most frequent type of error is distortion followed by substitution. Multiple dyslalia is more frequent than simple dyslalia. The relation of dependence between phonetic alterations and masculine gender is observed, as well as a decrease of articulation disorders as age increases and a significant relation between bad oral habits and the presence of dyslalia.
Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Tools

Abstract Advancements in artificial intelligence (AI) have stimulated the development of educational AI tools (EAIT). EAITs intelligently assist teachers in formulating better pedagogical decisions or actions for their students. However, teachers are hardly integrating EAITs, and little is known about their perceptions of EAITs. This study seeks to identify human factors that encourage or restrict teachers’ acceptance of EAITs. We propose a revised technology acceptance model incorporating teachers’ pedagogical beliefs and perceived trust in EAITs. Survey data were collected from 215 teachers in South Korea and analyzed using structural equation modeling. The results indicate that teachers with constructivist beliefs are more likely to integrate EAITs than teachers with transmissive orientations. Furthermore, perceived usefulness, perceived ease of use, and perceived trust in EAITs are determinants to be considered when explaining teachers’ acceptance of EAITs. Among them, the most influential determinant of predicting their acceptance was found to be how easily the EAIT is constructed. Significant implications for researchers and stakeholders regarding the development and integration of EAITs are discussed.
Taxonomic Synopsis of Betula (Betulaceae) in India and Typification of Three Names

Birches (Betula) are ecologically important plants in the Indian Himalayan Region, but they are still not fully understood from the taxonomic point of view. To provide a basis for taxonomic research, we present a taxonomic synopsis of Betula in India and an account of the material on which the names are based. Lectotypes are designated for the names B. acuminata Lindl. (synonym of B. alnoides Buch.-Ham. ex D. Don), B. cylindrostachya Wall. ex Lindl. and B. jacquemontii Spach.
Development of infrared staking process for an automotive part

Staking plastic is a new technology that used infrared light as the energy sources in order to assembly the heated plastic parts. In this work, the proposed method coupling between Finite Element Method (FEM), Response Surface Method (RSM), and Genetic Algorithm (GA) is employed to simulate and optimize the staking plastic process. An automotive part, namely Door Trim with polypropylene (PP) material is implemented by using the developed technology. The effects of three key process parameters, such as heating time, cooling time, and air flow rate on the mechanical behavior of the joint has been investigated. The simulation procedure based on DEFORM-3D multi-operation is conducted to integrate sub-process and obtain the numerical results. The optimum values, including heating time, cooling time, and air flow rate are 14 second, 14 second, and 60 (ft3/h), respectively. The optimizing results indicated that heating time is more contributed to the tensile force, following by cooling time and air flow rate. The correlation between simulation and experimental results indicates the effectiveness of the proposed method.
Assessment of membrane stability, central nervous system depressant, and gut motility effects of Lablab purpureus seeds

Introduction: Lablab purpureus, under the family of Fabaceae, is a plant with various pharmacological activities. The present study was aimed to investigate the phytoconstituents, membrane stabilizing activity, central nervous system (CNS) depressant potential, and gastrointestinal (GI) motility of the methanol extract of L. purpureus seeds (MELPS). Methods: The methanol plant extract was screened for different phytochemical groups. Mice were classified into four groups for in vivo activities. Group-I was designated as negative control and received distilled water (10 mL/kg body weight); group-II served as positive control and received diazepam (1 mg/kg body weight). Group-III and group-IV both were experimental groups and received plant extract at 200 and 400 mg/kg body weight, respectively.Results: Alkaloids, carbohydrates, saponins, glycosides, tannins, phenols, flavonoids, and proteins were found after phytochemical analysis. On hypotonic solution-induced hemolysis of erythrocyte membrane, MELPS9 (9 mg/mL) resulted in the highest percentage of inhibition (60.51 ± 0.889), and on heat-induced hemolysis, MELPS9 (9 mg/mL) resulted in the highest percentage of inhibition (33.97 ± 0.21). In the case of the CNS depressant potential experiment, mice that received a sample at a dose of 400 mg/kg body weight showed the highest result (54.40 ± 4.51) compared with the positive control (14.2 ± 3.70) (P < 0.001). Similarly, 400 mg/kg dose sample exhibited the highest percentage of inhibition (60.51 ± 0.889) of hemolysis and GI motility (22.26%). Conclusion: It can be concluded that the MELPS has potential membrane stability, CNS depressant, and antimotility effects.
The Cut-Off Value for Classifying Active Italian Children Using the Corresponding National Version of the Physical Activity Questionnaire

The present study aimed to determine a cut-off value following the filling in of a questionnaire (PAQ-C-It) to identify active Italian children. One-hundred-twenty-nine primary school children (5 Piedmont schools; 47.3% female; mean age = 10 ± 1 years) wore an accelerometer (Actigraph wGT3X-BT) to objectively quantify individual moderate-to-vigorous physical activity during one week. Afterwards, the PAQ-C-It was filled in by participants. A ROC curve procedure was applied to obtain an active/non-active cut-off point. Spearman’s correlation coefficient was also applied to establish the relationship between the two parameters. According to the ROC analysis, the PAQ-C-It cut-off point value is identifiable at >2.75 to indicate active children (area under the curve = 0.62; standard error = 0.05; p = 0.025; coefficient intervals = 0.518–0.716; sensitivity = 0.592, specificity = 0.382), determining that 65 participants (55%) were non-active (mean PAQ-C-It value = 2.3 ± 0.4; active mean PAQ-C-It value = 3.3 ± 0.4). Spearman’s correlation coefficient results were significant but with a small effect size (rho = 0.214; p = 0.008). In conclusion, the present results suggest that the PAQ-C-It can be cautiously used as tool to practically classify active Italian children because of a non-solid relationship between respective accelerometer data and MVPA daily data.
Preliminary Survey Analysis on Food Choices among Randomly Selected Social Media Users amidst COVID-19 Pandemic in Nigeria

: A survey on food choices with a randomized sample population of individuals using various social media in Nigeria was conducted during the COVID1-19 pandemic. The data generated was subjected to basic standard statistical analysis. The parameters indicated that 94% of the population is young adults, 58.9 % percent are city dwellers, 63.6% are students, 23.4 % are into business, 86.9% are graduates; 73.8% consume various diets, 23.4% are vegetarians and only 2.8% fed only on proteins, 30.8% of them go on two meals per day. The most choices on influence on food purchases decision are hunger (26.2%), mood (26.2%), past experience (45.8%), quality of the food products (66.7%), cost of the food products (50.5%) and government approval (28%). Also,other most preferred choices are for self-prepared food (40.21%), enhanced local diets (36 %), and a blend of foreign and local diets purchases (24%). Other highest choices include: easy preparation (37.4%), shelf life (29%); cute packaging (23.4%), swelling property preference (20.6%), minimal cooking time and energy preference (37.4%). The weighted sum, index and rank on factors influencing food choices showed that the influence of quality of food product ranked highest, followed by influence on cost. Also preference for enhanced local healthy diets to foreign ranked highest, minimal cooking time energy ranked highest. These nutritional adaptations implications to
Chemokine Expression-Based Endotype Clustering of Chronic Rhinosinusitis

Chronic rhinosinusitis (CRS) with (CRSwNP) or without nasal polyps (CRSsNP) is a persistent, heterogeneous inflammatory condition affecting the upper respiratory tract. The present study aimed to improve the characterization of CRS endotypes based on the chemokine and cytokine expression pattern in the CRS tissues. Concentrations of chemokines and cytokines were measured in tissues from nasal biopsies obtained from 66 CRS patients and 25 control subjects using multiplexing or single analyte technologies. Cluster analysis based on the concentration of type-1 (MCP-3/CCL7, MIP-1 α/CCL3), type-2 (IL-5, MCP-3/CCL7, MIP-1 α/CCL3, TARC/CCL17, PARC/CCL18, IP-10/CXCL10, ECP), and type-3 (IL-22) chemokines and cytokines identified six CRS endotypes (clusters). Cluster 1 (type-3) and 2 (type-1) were associated with a low prevalence of nasal polyps, Cluster 3 (type-1, -2, -3) and Cluster 4 (type-2, -3, medium IL-22) with medium, and Cluster 5 (type-2, -3, high Il-22) and Cluster 6 (type-2) with high prevalence of nasal polyps. Asthma was highly prevalent in Cluster-6. Our findings add to the existing knowledge of CRS endotypes and may be useful for the clinical decision-making process. The advancement of biologics therapy for upper respiratory tract disorders rationalizes the personalized diagnostic approach to warrant a successful treatment and monitoring of CRS.
Serum Level of Ligand Programmed Death-1 in Endometriosis

AIM: In this study, is to evaluate serum level of ligand programmed death-1 (PDL1) in patients with genital endometriosis. MATERIAL AND METHODS: For PDL-1, cancer antigen 125 (CA 125), interleukin (IL)-6, IL-8, tumor necrosis factor (TNF), and vascular endothelial growth factor (VEGF) determination, venous blood was taken 1 h before surgery and/or treatment. All patients were stratified by the presence or absence of endometriosis according to the American Society of Reproductive Medicine’s Revised Classification of Endometriosis of the American Society of Reproductive Medicine. RESULTS: Twenty-one patients with endometriosis participated in the study. The PDL-1 level an experienced group was 55.32 ng/ml (interquartile range [IQR] 34.53–76.20); in the control group was 19.72 ng/ml (IQR 14.72–24.78), which was a statistically significant decrease (p < 0.001). A significant increase in CA125 31.87 (IQR 15.43–36.96) was detected (p < 0.001). In the experimental group, all pro-inflammatory cytokines were elevated (IL-6, IL-8, and TNF, p < 0.013; <0.001; and <0.001) and almost twice increased VEGF 243.44 (IQR 194.56–328.07), (p = 0.016). A noticeable correlation was found between the following indicators PDL-1-CA125, PDL-1-IL-8, and PDL-1-TNF, and a moderate correlation was found between PDL-1 and VEFF (p = 0.006). CONCLUSIONS: The results of the study showed that the levels of PDL-1, CA 125, IL-6, IL-8, TNF, and VEGF were statistically significantly different in the experimental and control groups, and a correlation was also revealed between the levels of PDL-1 and CA125, IL-8 and TNF in patients with genital endometriosis. Therefore, further studies with larger numbers of patients are required.
Climate Change and Diarrhoeal Disease Burdens in the Gaza Strip, Palestine: Health Impacts of 1.5 °C and 2 °C Global Warming Scenarios

The Gaza Strip is one of the world’s most fragile states and faces substantial public health and development challenges. Climate change is intensifying existing environmental problems, including increased water stress. We provide the first published assessment of climate impacts on diarrhoeal disease in Gaza and project future health burdens under climate change scenarios. Over 1 million acute diarrhoea cases presenting to health facilities during 2009–2020 were linked to weekly temperature and rainfall data and associations assessed using time-series regression analysis employing distributed lag non-linear models (DLNMs). Models were applied to climate projections to estimate future burdens of diarrhoeal disease under 2 °C and 1.5 °C global warming scenarios. There was a significantly raised risk of diarrhoeal disease associated with both mean weekly temperature above 19 °C and total weekly rainfall below 6 mm in children 0–3 years. A heat effect was also present in subjects aged > 3 years. Annual diarrhoea cases attributable to heat and low rainfall was 2209.0 and 4070.3, respectively, in 0–3-year-olds. In both age-groups, heat-related cases could rise by over 10% under a 2 °C global warming level compared to baseline, but would be limited to below 2% under a 1.5 °C scenario. Mean rises of 0.9% and 2.7% in diarrhoea cases associated with reduced rainfall are projected for the 1.5 °C and 2 °C scenarios, respectively, in 0–3-year-olds. Climate change impacts will add to the considerable development challenges already faced by the people of Gaza. Substantial health gains could be achieved if global warming is limited to 1.5 °C.
Learning-Based Control With Decentralized Dynamic Event-Triggering for Vehicle Systems

The optimal control of multi-input system can be described by a multiplayer nonzero-sum differential game. This article theoretically presents an event-based adaptive learning scheme to approximate the Nash equilibrium, and practically addresses the cruise control problem for Caltech vehicle systems. This design is deployed in two aspects. On one hand, the reinforcement learning is implemented through critic neural network architecture and recalling stored experience data. On the other hand, in view of that each player’s preference is different, the decentralized triggering manner is considered to reduce communication. Based on the continuous state, the local sampled state is defined for each player, and a static triggering mechanism is formulated first. The decentralized dynamic triggering is then promoted by designing an auxiliary variable whose dynamics are constructed using static triggering information. Next, the proposed learning scheme is examined on a four-player numerical system. Finally, the learning-based controller is tested on a single-vehicle system under different tracking commands, and then, it is extended to multivehicle systems to realize cooperative optimization by introducing a novel game-in-game structure.