Miracle-dz/UniFAR-FTUs huggingface dataset:
Alexithymia, Dissociation, and Family Functioning in a Sample of Online Gamblers: A Moderated Mediation Study

The diffusion of the internet and technological progress have made gambling on online platforms possible, also making it more anonymous, convenient, and available, increasing the risk of pathological outcomes for vulnerable individuals. Given this context, the present study explores the role of some protective and risk factors for problematic gambling in online gamblers by focusing on the interaction between alexithymia, dissociation, and family functioning. A sample of 193 online gamblers (Mage = 28.8 years, SD = 10.59; 17% females, 83% males) completed the South Oaks Gambling Screen, Twenty-Items Toronto Alexithymia Scale, Dissociative Experience Scale-II, and Family Adaptability and Cohesion Evaluation Scales-IV through an online survey. MANOVA, ANOVA and moderated mediation analyses were carried out to analyse the data. Significant differences in cohesive family functioning, alexithymia and dissociation have been found between online gamblers with problematic, at-risk or absent levels of gambling disease. Furthermore, the results showed a significant and positive association between alexithymia and problematic online gambling, partially mediated by dissociation, with the moderation of cohesive family functioning. Such data may have relevant clinical implications, highlighting the interaction of some core personal and environmental variables that may be involved in the etiology of online pathological gambling and could be kept in mind to tailor preventive interventions.
Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration

Autonomous Underwater Vehicles (AUVs) can be effective collaborators to human scuba divers in many applications, such as environmental surveying, mapping, or infrastructure repair. However, for these applications to be realized in the real world, it is essential that robots are able to both lead and follow their human collaborators. Current algorithms for diver following are not robust to non-uniform changes in the motion of the diver, and no framework currently exists for robots to lead divers. One method to improve the robustness of diver following and enable the capability of diver leading is to predict the future motion of a diver. In this paper, we present a vision-based approach for AUVs to predict the future motion trajectory of divers, utilizing the Vanilla-LSTM and Social-LSTM temporal deep neural networks. We also present a dense optical flow-based method to stabilize the input annotations from the dataset and reduce the effects of camera ego-motion. We analyze the results of these models on scenarios ranging from swimming pools to the open ocean and present the model’s accuracy at varying prediction lengths. We find that our LSTM models can generate predictions with significant accuracy 1.5 seconds into the future and that stabilizing LSTM models significantly improves trajectory prediction performance.
An exploratory test of an intuitive evaluation method of perceived argument strength

According to Mercier and Sperber (2009, 2011, 2017), people have an immediate and intuitive feeling about the strength of an argument. These intuitive evaluations are not captured by current evaluation methods of argument strength, yet they could be important to predict the extent to which people accept the claim supported by the argument. In an exploratory study, therefore, a newly developed intuitive evaluation method to assess argument strength was compared to an explicit argument strength evaluation method (the PAS scale; Zhao et al., 2011), on their ability to predict claim acceptance (predictive validity) and on their sensitivity to differences in the manipulated quality of arguments (construct validity). An experimental study showed that the explicit argument strength evaluation performed well on the two validity measures. The intuitive evaluation measure, on the other hand, was not found to be valid. Suggestions for other ways of constructing and testing intuitive evaluation measures are presented.
Lithium Diffusion in Silicon Encapsulated with Graphene

The model of a graphene (Gr) sheet putting on a silicon (Si) substrate is used to simulate the structures of Si microparticles wrapped up in a graphene cage, which may be the anode of lithium-ion batteries (LIBS) to improve the high-volume expansion of Si anode materials. The common low-energy defective graphene (d–Gr) structures of DV5–8–5, DV555–777 and SV are studied and compared with perfect graphene (p–Gr). First-principles calculations are performed to confirm the stable structures before and after Li penetrating through the Gr sheet or graphene/Si-substrate (Gr/Si) slab. The climbing image nudged elastic band (CI-NEB) method is performed to evaluate the diffusion barrier and seek the saddle point. The calculation results reveal that the d–Gr greatly reduces the energy barriers for Li diffusion in Gr or Gr/Si. The energy stability, structural configuration, bond length between the atoms and layer distances of these structures are also discussed in detail.
Concerns and mental health of teachers from digitally underdeveloped countries regarding the reopening of schools after the first wave of the COVID-19 pandemic.

BACKGROUND Torn between the decision to return to school classrooms or continue holding online classes during COVID-19, teachers around the world feel great uncertainty. OBJECTIVE Bearing in mind that the study of mental health during the pandemic is of great importance for vulnerable categories, and given the role of teachers in society, the aim of this research is to assess teachers' concerns and anxiety before the start of the school year, and also to examine the factors related to them and propose measures in line with the results. METHODS The study was conducted as a cross-sectional study before the start of the 2020/2021 school year. The research sample consisted of 286 teachers. For the purposes of this research, a special questionnaire was constructed consisting of a general questionnaire and a Generalized Anxiety Disorder 7-item scale (GAD-7). RESULTS The strongest predictor of a teacher's answer that they were concerned about the reopening of schools was their concern for their own life and health and for the life and health of their family members, followed by the amount of information received about COVID-19, and, finally, older age. Only 2% of teachers had mild anxiety. CONCLUSIONS This research indicated that it is necessary to examine in more detail the degree of teachers' concern and its impact on their functionality and work process. It is also necessary to repeat the research on the mental health status of teachers and implement procedures in the form of a regular screening program of the mental health status of teachers or implement procedures of support in concern management.
Perception and Annoyance Due to Vibrations in Dwellings Generated from Ground Transportation: A Review

Over the past decades, the improvement of the quality of buildings regarding sound insulation has made it possible to reduce noise exposure. But this improvement has led to the increasing importance of other environmental nuisances such as vibrations. Just like noise, vibrations can also affect human health and well-being. National authorities are progressively becoming aware of the adverse effects of vibrations on human beings. One of these adverse effects is vibration annoyance. As a prerequisite for studying vibration annoyance, many research works have provided knowledge of how vibrations are perceived by human beings. But, until now, only a few large-scale studies have been carried out to gain knowledge of annoyance due to vibrations. This knowledge is of importance for public authorities in order to plan the development of transportation networks while taking account of this environmental nuisance (i.e. vibrations). Assessing vibration annoyance is a complex task that implies research work spread over various disciplines (e.g. human sciences, physics). This is why a review of knowledge in the field of vibration perception and annoyance is felt to be necessary. More specifically, this review focuses on vibration annoyance felt by inhabitants inside buildings and caused by ground transportation sources. Before dealing with the review of annoyance due to vibrations, the basics of human vibratory perception are presented. Then, annoyance due to a vibration exposure is dealt with. In particular, the way vibration exposure and vibration annoyance are measured and assessed is tackled. The main features and results of research works that aimed to establish exposure-effect relationships between annoyance and vibrations are described. Finally, this review presents a state-of-the-art of annoyance due to a combined exposure to vibrations and noise, since people exposed to vibrations are also often exposed to airborne noise. This review is non-exhaustive, but it can give to scientists and engineers working in the field tools for a better understanding of some of the factors to consider when dealing with the issue of vibration annoyance due to ground transportation.
Hormonal Regulatory Patterns of LaKNOXs and LaBEL1 Transcription Factors Reveal Their Potential Role in Stem Bulblet Formation in LA Hybrid Lily

In lily reproduction, the mechanism of formation of bulbs has been a hot topic. However, studies on stem bulblet formation are limited. Stem bulblets, formed in the leaf axils of under- and above-ground stems, provide lilies with a strong capacity for self-propagation. First, we showed that above-ground stem bulblets can be induced by spraying 100 mg/L 6-BA on the LA hybrid lily ‘Aladdin’, with reduced endogenous IAA and GA4 and a higher relative content of cytokinins. Then, expression patterns of three potential genes (two KNOTTED1-like homeobox (KNOX) and one partial BEL1-like homeobox (BELL)), during stem bulblet formation from our previous study, were determined by RT-qPCR, presenting a down-up trend in KNOXs and a rising tendency in BELL. The partial BELL gene was cloned by RACE from L. ‘Aladdin’ and denoted LaBEL1. Physical interactions of LaKNOX1-LaBEL1 and LaKNOX1-LaKNOX2 were confirmed by yeast two-hybrid and bimolecular fluorescence complementation assays. Furthermore, hormonal regulatory patterns of single LaKNOX1, LaKNOX2, LaBEL1, and their heterodimers, were revealed in transgenic Arabidopsis, suggesting that the massive mRNA accumulations of LaKNOX1, LaKNOX2 and LaBEL1 genes during stem bulblet formation could cause the dramatic relative increase of cytokinins and the decline of GAs and IAA. Taken together, a putative model was proposed that LaKNOX1 interacts with LaKNOX2 and LaBEL1 to regulate multiple phytohormones simultaneously for an appropriate hormonal homeostasis, which suggests their potential role in stem bulblet formation in L. ‘Aladdin’.
A wideband spectrometer for space-borne telescopes III: spectral disperser made of infrared transmitting glass

We previously presented an optical design of a wideband spectrometer for science observations using space-borne telescopes; a multichannel configuration was adopted to cover a wide wavelength region from visible to mid-infrared and using the optical designs of each channel as independent spectrometers was also possible. In this study, we report some progress on works for the optical design of a spectrometer for space-borne telescopes that uses spectral dispersers made of infrared transmitting glass. We consider that infrared transmitting glass is a promising material for space-borne and ground-based optics for astrophysics, planetary science, astrobiology, and other fields.
Perceived quality of life and life style modification of cancer patients undergoing varied treatments in a tertiary health institution, Ekiti State, Nigeria

Introduction cancer is viewed in the African context as a death sentence. Its effect can be overwhelming to both the patient and their support system. The objective of the study was to assess the perceived quality of life of cancer patients undergoing varied cancer treatments in a tertiary health institution in Ekiti State and to determine the life style modification of cancer patients undergoing varied treatments in the same health facility. Methods the study employed a descriptive cross-sectional design. A consecutive sampling approach was utilized to select 80 respondents among the cancer patients who attended the cancer registry within the study time frame. Data was collected from these cancer patients by using structured and validated questionnaire. Data was analyzed using descriptive statistics and inferential statistics with level of significance set at p < 0.05. Results respondent´s ages ranged from 20 - 61 years with a mean age of 50 ± 18.3 years. Only 7.8% are not dependent on medications to function in their daily life. Most of the participants reported that their sex life has been affected (61.1%) and 77% of the respondents reported fatigue. About 76% of respondents need varying measure of medical treatment to function in their daily life. Overall, 44.8% have poor quality of life, while 55.1% had good quality of life in this current study. Moreover, a significant relationship was found between quality of life and self-assessment of patient´s health (p < 0.001). Multivariate analysis predicting factors affecting quality of life of respondents revealed that self-assessment of respondents (AOR: 3.389; 95% CI: 1.897-6.054) remained a significant and more likely predictor of quality of life while respondent´s age (AOR: 0.244; 95% CI: 0.068-0.876) and level of education (AOR: 0.054; 95% CI: 0.005-0.546) were less likely predictors. Conclusion one quarter of the participants have poor life and majority of the participants need varying measure of medical treatment to function in their day to day life. Management of cancer patients should be geared towards improving/ameliorating symptoms and improving quality of life of cancer patients.
Towards Nearly-Zero Energy in Heritage Residential Buildings Retrofitting in Hot, Dry Climates

Retrofitting “nearly-zero energy” heritage buildings has always been controversial, due to the usual association of the “nearly-zero energy” target with high energy performance and the utilization of renewable energy sources in highly regarded cultural values of heritage buildings. This paper aims to evaluate the potential of turning heritage building stock into a “nearly-zero energy” in hot, dry climates, which has been addressed in only a few studies. Therefore, a four-phase integrated energy retrofitting methodology was proposed and applied to a sample of heritage residential building stock in Egypt along with microscale analysis on buildings. Three reference buildings were selected, representing the most dominant building typologies. The study combines field measurements and observations with energy simulations. In addition, simulation models were created and calibrated based on monitored data in the reference buildings. The results show that the application of hybrid passive and active non-energy generating scenarios significantly impacts energy use in the reference buildings, e.g., where 66.4% of annual electricity use can be saved. Moreover, the application of solar energy sources approximately covers the energy demand in the reference buildings, e.g., where an annual self-consumption of electricity up to 78% and surplus electricity up to 20.4% can be achieved by using photo-voltaic modules. Furthermore, annual natural gas of up to 66.8% can be saved by using two unglazed solar collectors. Lastly, achieving “nearly-zero energy” was possible for the presented case study area. The originality of this work lies in developing and applying an informed retrofitting (nearly-zero energy) guide to be used as a benchmark energy model for buildings that belong to an important historical era. The findings contribute to fill a gap in existing studies of integrating renewable energy sources to achieve “nearly-zero energy” in heritage buildings in hot climates.
Social Media-Enabled Customer Co-Creation Experience Value: Conceptualisation and Measurement

ABSTRACT Despite the dominance of customer co-creation experience value (CCEV) in the value co-creation research, its theoretical domain has not been systematically analysed and developed. Specifically, little is known about the nature of social media-enabled CCEV. To address the knowledge gaps, this study employs a five-step procedure to develop a conceptualisation and instrument of CCEV construct in a social media context. First, drawing on the relevant literature, we determine the conceptual framework, definition, and assumptions of CCEV. Second, we employ grounded theory methodology to analyse customer review data from three representative social media sites and identify the dimensions of CCEV (four themes consisting of 10 dimensions). Third, we create an item pool of CCEV based on the prior work and in-depth interviews of 10 customers. In the fourth and fifth steps, we collect three waves of quantitative data to develop and validate the instrument including item refinement (n1 = 234), instrument validation (n2 = 521), and nomological validity examination (n3 = 615). The results indicate that the instrument exhibits satisfactory reliability and validity. Our work contributes to theory and practice by presenting a context-specific and fine-grained conceptualisation of CCEV and a reliable and valid survey instrument.
LABORATORY TESTING OF DISPERSANT EFFECTIVENESS: THE IMPORTANCE OF OIL-TO-WATER RATIO AND SETTLING TIME

ABSTRACT Laboratory tests and apparatus for oil spill dispersant effectiveness were the subject of the present study. A review of previous work shows that test results from different apparatus are not highly correlated, and often the rank of effectiveness is also not correlated. The effect of two experimental parameters—settling time and oil-to-water ratio—are examined in this study and found to be very important in determining final effectiveness value. Four apparatus—the swirling flask, the flowing column, the Labofina, and the Mackay—are used with 3 dispersants and 16 oils to examine effectiveness values when the oil-to-water ratio is the same (1:1,200) and when the settling time is maintained at the same value (10 minutes) in all apparatus. The effectiveness values resulting from the four devices are nearly identical after values from the more energetic devices are corrected for natural dispersion. Our conclusions are that the most important parameters of laboratory dispersant testing are settling tim.
Fabric Stitching Inspection Using Segmented Window Technique and BP Neural Network

In the textile and clothing industry, much research has been conducted on fabric defect automatic detection. However, few have been specifically designed for evaluating fabric stitches or seams of semi-finished and finished garments. In this paper, a fabric stitching inspection method is proposed for knitted fabric in which a segmented window technique is developed to segment images into three classes using a monochrome single-loop ribwork of knitted fabric: (1) seams without sewing defects; (2) seams with pleated defects; and (3) seams with puckering defects caused by stitching faults. Nine characteristic variables were obtained from the segmented images and input into a Back Propagation (BP) neural network for classification and object recognition. The classification results demonstrate that the inspection method developed is effective in identifying the three classes of knitted-fabric stitching. It is proved that the classifier with nine characteristic variables outperformed those with five and seven variables and the neural network technique using either BP or radial basis (RB) is effective for classifying the fabric stitching defects. By using the BP neural network, the recognition rate was 100%.
Ameliorative Effects of the Aqueous Extract of Allium porrum (Wild Leek) against Cisplatin-Induced Nephrotoxicity in Rabbits

The aim of the present study was to investigate the nephroprotective, hypolipidemic and hypoglycemic effects of Allium porrum (leek) in rabbits with cisplatin nephrotoxicity. Forty adult male New Zealand rabbits were divided randomly into four groups (ten rabbits in each group) as follows: Group I: (negative control) (C) received oral daily dose of distilled water for 15 successive days. Groups II: (Leek) (L) received oral daily dose of aqueous leek extract (500mg/kg/day) for 15 successive days. Group III: (positive control) [cisplatin (CP)] received oral daily dose of distilled water for 15 successive days, and subsequently administered single dose of Cisplatin (3.5mg/kg/day) by intraperitoneal injection from day 10 for five days. Groups IV: (Leek and Cisplatin
A Novel Engine Air Intake Sensor based on 3D Printing and PCB technology

The design and fabrication of a novel engine air intake sensor is presented. The geometry of the sensor's housing was derived through appropriate CFD simulations while 3D printing technology was selected for its fabrication. The sensing element of the device is based on PCB technology which utilizes typical commercially available PT100 RTDs mounted directly on a PCB substrate, enabling effective thermal isolation and facile electrical interconnection to the corresponding circuitry. The device was integrated into a DIESEL engine testbed; its proper functionality was validated through electrical characterization employing Constant Current operation mode. Preliminary results are promising for an air intake range of 0 to 260 kg/h. Key features of the proposed device are low-cost, robustness and simplicity of fabrication suggesting numerous potential applications in the automotive area.
Fully Decoupled Residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images

UAV-based automatic railway inspection is expected to have the potential to reform the inspection of railways. In this area, real-time railway scene parsing is quite essential. However, the limited computation resources of the UAV onboard computer pose a huge challenge for the algorithm to juggle a precise prediction with strong timeliness. Concerning this issue, this paper proposes a novel algorithm named deep fully decoupled residual convolutional network, which consists of fully decoupled residual blocks (Non-bottleneck-FDs) to deal with the dilemma between the high demand of real-time and limited resources. The residual block is constructed based on a new convolution which divides the standard convolution into three sequential convolutions to decouple the conventional operational correlations fully. Furthermore, a customized auxiliary line loss (LL) function is proposed to constrain the segmentation of railway and non-railway simultaneously without increasing the computation complexity. The proposed LL can force the predicted railway areas to concentrate in long strip areas precisely and inhibit their appearances in other impossible local areas. Subsequently, an integrated loss backpropagation strategy of the LL and cross-entropy function is presented. A comprehensive set of experiments are conducted for verification. Experiments demonstrate the superior performance of our approach with a more than $2\times $ reduction in parameters and computation cost. Moreover, our approach also has a faster inference speed than the most existing lightweight architectures while providing comparable or higher accuracy. It is proven that our approach can reconcile the precise prediction with strong timeliness for railway scene parsing within the limitation of onboard computers. Besides, the results also imply its highest performance in terms of local details and edges of railway areas.