Miracle-dz/UniFAR-FTUs huggingface dataset:
Dental problems in children with autism: a 5-year study.

Caries experience of children and complex clinical circumstances are an actual challenge for any healthcare professional. To investigate the early childhood caries (ECC) in autistic and non autistic children (≤4 years of age) evaluating the amount of dental damage and the treatments carried out in both groups. Data regarding the oral health status of 40 patients (≤4 years of age) were assembled. The sample group was constituted of 20 autistic children (12 males with a mean age of 2.5 years and 8 females with a mean age of 3.2 years) whereas 20 patients without the autistic spectrum represented the control group (11 males with a mean age of 3 and 9 females with a mean age of 3.3 years). There were no significant differences between the two groups as regards both the extent of dental damage and the treatments carried out. About the frequency, in the autistic group, the most frequent caries were the white spots and enamel proximal lesions (2.2%), followed by only white spots (1.2%) and brown-black cavities and root stumps (0.6%). In the control group, the brown-black cavities and root stumps represented the most frequent findings (2.2%), followed by white spots and enamel proximal lesions (1.4%) and white spots (0.4%). Regarding the treatments, the most repeated management of dental damage among autistic patients was composite restorations (2.2%) while in nonautistic patients were tooth extractions (2%).
Research Progress of EEG Combined with Brainstem Auditory Evoked Potential in Prognosis Assessment of Patients with Consciousness Disturbance

: Disorders of consciousness (DOC) Serious brain injury with long treatment and recovery cycles. Today, with the dedicated research of clinicians and the rapid development of neuroimaging, we have made remarkable achievements in identifying patients' residual consciousness, explaining the biological mechanisms of consciousness recovery, and reconstructing damaged neural pathways with precision therapy techniques. Accurate assessment of brain function of patients with consciousness disorders should be continuously improved, so as to provide clinical guarantee for the diagnosis and treatment of patients with consciousness disorders. Electroencephalogram (EEG) can reflect cerebral cortex function; while brainstem auditory evoked potential (BAEP) can reflect brainstem function. Both of them are widely used to assess the prognosis of consciousness disorders due to their simple operation. It has been found that using EEG or BAEP alone to predict the prognosis of DOC patients has certain limitations. Therefore this article reviews the progress of EEG combined with brainstem auditory evoked potentials in the prognosis assessment of patients with consciousness disorder, in order to provide reference for relevant professionals.
Virtual 3D Tour: A User Experience for On-Campus Orientation

With Virtual Reality being adopted by almost all the world's social media giants, it is evident that it is the next best thing. Platforms like Facebook, Steam, and YouTube have worked on this technology to make their content creative and immersive for the user to experience the best. But unfortunately, the industries of Pakistan have still not explored or worked on this domain. Hence, I missed the chance to enjoy this sweet nectar of an opportunity introduced to the world for merely a decade. This paper introduces an immersive and three-dimensional Virtual Model of Sir Syed University of Engineering and Technology. The previous work on similar projects was discussed; in the methodology, the models were created using different 3D computer graphics software and toolsets, the development phase was done by using Unity Engine to make the model dynamic in nature, and then it was finally deployed into HTC Vive and allowing of the user to interact with the environment and move in 3D space by using two handheld controllers.
OPIT: A Simple but Effective Method for Sparse Subspace Tracking in High-Dimension and Low-Sample-Size Context

In recent years, sparse subspace tracking has attracted increasing attention in the signal processing community. In this paper, we propose a new provable effective method called OPIT (which stands for Online Power Iteration via Thresholding) for tracking the sparse principal subspace of data streams over time. Particularly, OPIT introduces a new adaptive variant of power iteration with space and computational complexity linear to the data dimension. In addition, a new column-based thresholding operator is developed to regularize the subspace sparsity. Utilizing both advantages of power iteration and thresholding operation, OPIT is capable of tracking the underlying subspace in both the classical regime and high dimensional regime. We also present a theoretical result on its convergence to verify its consistency in high dimensions. Several experiments are carried out on both synthetic and real data to demonstrate the performance of OPIT.
Unraveling the Mysteries of Thai Culinary Culture: A Cross-Cultural Exploration of Roadside Dining Experience

This study aimed to explore the impact of Thai street food on the sense of adventure and cultural immersion among first-time visitors to Thailand. Using a cross-sectional design in authentic public street settings, participants were surveyed with a semi-structured questionnaire to gather their perspectives. Thematic analysis revealed five main themes: distinctiveness, economic value, service, regulation, and locality, which were categorized into two overarching constructs: Thai street food as a unique experiential journey and its social significance. The findings provide valuable insights into the dining experiences of Chinese tourists visiting Thailand for the first time, enriching the fields of gastronomy tourism and food sociology. The study offers practical recommendations for businesses, industries, and public authorities based on its outcomes. It focuses on the unique character of Thai street food and its impact on first-time visitors, showcasing how it fosters adventure and cultural immersion in authentic street settings.
RECSAE: An interactive model of relevance cognitive load, spatial memory, ADHD and EEG for special educators and mental health professionals

The cognitive load (CL) increases as the brain is confronted with high-volume audiovisual and other multimodal information from the external environment. Spatial memory is a broad term for recording and recovery of this information. It has three dimensions, such as sensory memory, which is responsible for information capture and preprocessing, working memory, which is responsible for information processing and output generation, and long-term memory, which is responsible for registration/encoding and retrieval/decoding of what has been learned after the information processing. Cognitive training for long-term memory formation is a complex task that is conducted by analysing the "relevance" of the information. Relevance refers to the degree of meaningfulness of the input information based on logic, beliefs and perceptions. A high degree of relevance promotes the firing of the reentrant circuit for capturing similar information to create memory in the brain. An electroencephalogram (EEG) measures brain activities by using electrodes to deliver waveform signals through the scalp at a particular duration. This article proposes an interactive RECSAE model for the formation of relevant long-term memory through CL training and attempts to corroborate it with the EEG signals. The model is finally explained and correlated with Attention Deficit Hyperactive Disorder (ADHD) as a real-world use case. The proposed model is generic and would help psychologists, neurophysiologists, EEG researchers and special educators to evaluate CL training and memory dysfunctions by using EEG waves.
The Anti-Diabetic Effect of Rhopilema nomadica Jellyfish Natural Extracts in Streptozoticin-Induced Type-2 Diabetes Mellitus in Rats

Globally, diabetes mellitus (DM ) disease is one of the main causes of death. Type-2 diabetes mellitus (T2-DM) cannot be cured by first-line medications, and long-term use carries a significant risk of serious side effects. Novel antidiabetic agents with high efficacy are required. In the T2-DM rats’ model, the anti-diabetic effect of Rhopilema nomadica venom (RNV) and R. nomadica umbrellar extracts (RNUE) was assessed. Biometric and biochemical measurements were determined. The median lethal doses (LD 50 ) of RNV and RNUE were estimated, and then Sprague Dawley male rats were split into five groups (n=10) as follows; group 1 (Gp1) served as a negative control. Gp2 to Gp5 were given a high-fat diet (HFD) and then, injected with STZ (30 mg/kg) interperitoneal (i.p.). Gp2 was kept as diabetic rats (T2-DM rats). Metformin (Met) (150 mg/kg), RNV (7.5 mg/kg), and RNUE (14.4 mg/kg) were given to Gp3, Gp4, and Gp5, respectively. All treatments were taken i.p., once every day for eight weeks body weight (b.wt) changes, the levels of glucose, C-peptide, biochemical parameters, and the histopathological alterations were assessed. R. nomadica diameter was 35-40 cm, and its weight was 4-4.5 kg. RNV and RNUE total antioxidant capacities were 2.39 ± 0.18 and 2.92 ± 0.26 mg/g. RNV and RNUE protein profiles showed eight and seven bands. Treatment of T2-DM rats with Met or RNUE led to a hypoglycemic effect as indicated by improvement of b.wt changes, glucose, C-peptide levels, hepato-renal function, antioxidant/oxidant biomarkers status, and insulin-secreting β-cells in the pancreatic islets.
Moyamoya Disease Causing Stroke in the Setting of Cocaine Use and Uncontrolled Hypertension Due to Primary Hyperaldosteronism

Moyamoya disease is a cerebrovascular disease characterized by stenosis of large intracranial arteries and the development of smaller collateral vessels. Moyamoya may cause strokes and stroke-like symptoms in young patients. It has also been linked to autoimmune diseases and neuropsychiatric conditions. We present a case of moyamoya disease in a young patient with concomitant hyperaldosteronism, uncontrolled hypertension, and cocaine use disorder, along with features of antisocial personality disorder. This is a unique presentation of an underlying neurological disease causing psychiatric features exacerbated by cocaine use, and it describes a rare clinical presentation that physicians should consider in patients with moyamoya disease.
High Efficiency Hybrid Synchronous Motor Design With Loss and Thermal Analysis for Integrated Two-Speed e-Powertrain System in Electric Vehicles

With high efficiency and high flux-weakening capability, hybrid synchronous motor (HSM) is a competitive alternative as a cost-effective solution for traction applications. This paper presents a cascaded and systematic method to define specifications of target motor and design a high efficiency 172 kW, 18000 rpm HSM for an integrated two-speed e-Powertrain system. Vehicle-level specifications and gear ratio combinations are taken into consideration to determine motor requirements. Four concept rotor typologies are investigated to obtain efficiency maps for comparisons in simulation models. Detailed loss analyses are done at both base speed and maximum speed for a selected HSM. Steady-state and transient thermal analyses are completed to identify potential overheating and demagnetization risks. 0.2 mm stator lamination and 4 segmented magnets in each magnet slot have been applied to further improve motor maximum efficiency. Performance tests are completed in the dyne bay to show that 97.5% maximum efficiency is achieved.
Examining Performance Of Islamic Banks In Bangladesh Using Stochastic Frontier Analysis And Maqasid Model

The current study uses the parametric Stochastic Frontier Approach (SFA) with the Maqasid Model, Performance Measures based on Maqasid al Shariah (PMMS) to empirically evaluate the performance of Bangladeshi Islamic commercial banks from 2005 to 2018. In accordance with the SFA model, Islamic commercial banks had an average cost efficiency value of 0.78 between 2005 and 2018, which was greater than traditional state banks’ (0.781), but lower than local private banks’ (0.879) and international banks’ (0.969). This implies that Islamic and other commercial banks can save identical stage of output with the same quantity of resources. Under the PMMS Model empirical evidences show that Islamic banks experienced a low level of performance based on the Maqasid Index which ranges from 19.16% to 23.07%. The current article provides significant information on performance gaps of Islamic commercial banks and its determinants. The regulators, policy makers and managers can adopt necessary policy actions to improve performance of Islamic commercial banks from perspective of cost efficiency and welfare issue.
Enhancing Rotary Machine Reliability Through Condition-Based Maintenance Optimization

Rotary machines possess an inherent characteristic of generating vibrations, leading to the deterioration of critical components, particularly bearings and gears, ultimately failing the system. Vibration analysis is widely acknowledged as the predominant diagnostic technique employed for assessing the state of machinery and informing maintenance strategies. Condition-based maintenance (CBM) is a crucial component of proactive maintenance strategies that optimize machine availability by implementing timely interventions and minimizing costly breakdowns. This research endeavour aims to establish a comprehensive framework that enables evaluating the operational state of rotary machinery and its critical components, specifically emphasizing bearings. The interdependence between maintenance and machine health is evident, as a well-maintained machine requires minimal maintenance, while a machine undergoing deterioration requires immediate intervention. Rotary machines, which hold significant importance in various industrial processes, often face significant obstacles to bearing issues. These challenges lead to considerable disruptions in output and escalate maintenance costs. The current study examines the efficacy of CBM as a potential solution to the aforementioned issues. CBM is a maintenance strategy that utilizes real-time data on machine conditions to make informed decisions regarding maintenance interventions. By leveraging this approach, maintenance activities can be executed at the most opportune time, maximizing efficiency and effectiveness. CBM is a strategic approach that empowers enterprises to proactively mitigate failures, optimize maintenance schedules, and improve overall operational efficiency by accurately estimating the remaining usable life of machine components. This research study contributes to the growing body of knowledge on CBM, offering valuable insights into predictive maintenance and its potential to enhance the reliability and efficiency of rotary machinery.
Evaluation of reanalysis data and dynamical downscaling for surface energy balance modeling at mountain glaciers in western Canada

Abstract. Regional-scale surface energy balance (SEB) models of glacier melt require forcing by coarse-gridded data from reanalysis or global climate models that need to be downscaled to glacier scale. As on-glacier meteorological observations are rare, it generally remains unknown how exact the reanalysis and downscaled data are for local-scale SEB modeling. We address this question by evaluating the performance of reanalysis from the European Centre for Medium-Range Weather Forecasts (ERA5 and ERA5-Land reanalysis), with and without downscaling, at four glaciers in western Canada with available on-glacier meteorological measurements collected over different summer seasons. We dynamically downscale ERA5 with the Weather Research and Forecasting (WRF) model at 3.3 and 1.1 km grid spacing. We find that our SEB model, forced separately with the observations and the two reanalyses, yields less than 10 % difference in simulated total melt energy and shows strong correlations (0.86) in simulated time series of daily melt energy at each site. The good performance of the reanalysis-derived melt energy is partly due to cancellation of biases between overestimated incoming shortwave radiation and substantially underestimated wind speed and subsequently turbulent heat fluxes. Downscaling with WRF improves the simulation of wind speed, while other meteorological variables show similar performance to ERA5 without downscaling. The choice of WRF physics parameterization schemes is shown to have a relatively large impact on the simulations of SEB components but a smaller impact on the modeled total melt energy. The results increase our confidence in dynamical downscaling with WRF for long-term glacier melt modeling in this region.
Virtual Reality Body Swapping to Improve Self-Assessment in Job Interview Training

Swapping visual perspective in virtual reality (VR) provides a unique means for embodying different virtual bodies and for self-distancing. Moreover, this technology is a powerful tool for experiential learning and for simulating realistic scenarios, with broad potential in the training of soft skills. However, there is scarce knowledge on how perspective swapping in VR might benefit the training of soft skills such as those required in a job interview. This article investigates the impact of virtual body swapping on the self-assessment of verbal and nonverbal communication skills, emotional states, and embodiment in a simulated job interview context. Three main conditions were compared: a baseline condition in which the participants practiced a job interview from the first-person perspective of a virtual interviewee (no swap condition); an external point of view condition where, first, the participants answered questions from the interviewee perspective, but then swap visual perspective to re-experience their responses from a nonembodied point of view (out of body condition); and a condition in which, after answering questions from the interviewee perspective, the participants re-experienced their responses from the embodied perspective of the virtual recruiter (recruiter condition). The experimental results indicated that the effectiveness of the out of body and recruiter conditions was superior to the no swap condition to self-assess the communication styles used during a job interview. Moreover, all the conditions led to a high level of embodiment toward the interviewee avatar when seen from the first-person perspective; in the case of the recruiter condition, the participants also felt embodied in the recruiter avatar. No differences in emotional states were found among conditions, with all sharing a positive valence.
Social networks and emergencies: the case of forest fires and Twitter

415 Social networks are becoming a fundamental means of communication, even for the dissemination of information during emergencies and/or disasters. Access to timely, accurate and reliable information is extremely important in these situations and 2.0 tools can be used to improve the management of crises. As with the earthquake-induced tsunami in Japan in April, and earlier in the earthquakes in Chile and Haiti or the Taiwan tornado, social networks and other Web 2.0 tools were useful not only to inform about the catastrophes, but also in the search for missing persons, contact with family and friends in the area, requests for assistance and dissemination of safety warnings. With this new perspective, social network communication in emergencies requires a set of rules (or recommendations from official agencies) because, otherwise, specific reliable information may be difficult to obtain.
Más allá de la Globalización: La «Glocalización» del Turismo Beyond Globalization: The «Glocalization» of Tourism

In tourism studies, globalization and localization are often conceived of as as a binary opposition. The ethnography of an Indonesian group of tour guides presented here illustrates how the global and athe local are intimately intertwined through what has been described as the process of «glocalitation». The guides studied are remarkable fornt-runners of glocalization. They fully participate in global popular culture and use new techonologies in their private lives. While guiding. however, they skillfully represent the glocalized life around them as a distinctive «local», adapted to the tastes of different groups of tourists. It is concluded that tourism offers excellent opportunities to study glocalization, but that more grounded research is needed.
PROJECTION OF FUTURE TROPICAL CYCLONE CHARACTERISTICS BASED ON STATISTICAL MODEL

As a consequence of global warming, several climate models suggest that the frequency and intensityof tropical cyclones will change by the end of the 21st century. A brief review of future tropical cyclone characteristics and stochastic tropical cyclone models is summarized in the first half of this chapter. Future tropical cyclone projections are based on stochastic tropical cyclone models with global climate change effects incorporated, and the analysis of the averaged and extreme conditions of tropical cyclones is discussed in the second half of this chapter. The future projection of TC tracks and intensities were computed by stochastic tropical cyclone models as discussed in the second half of this chapter. Based on the analysis of general circulation models and stochastic tropical cyclone models, both a decrease in cyclogenesis frequency and changes in track have regional impacts to annual tropical cyclone frequency. Using mean statistical characteristics from a general circulation model to run a stochastictropical cyclone model, it is possibleto estimate theuncertainty associated with these future tropical cyclone changes.
L'évolution morphologique du plateau de Lannemezan

Les formations superieures du plateau de Lannemezan sont constituees par des argiles a galets mio-pliocenes. L etude petrographique et granulometrique des galets, les caracteres mineralogiques des sables et des argiles qui leur sont associes ont permis de distinguer une serie de facies originaux, revelant l'existence de phases d'erosion et de sedimentation successives. ; Ces episodes semblent lies aux changements climatiques qui sont intervenus entre le Pontien et le Villafranchien.
Expert Recommendations to Bridge Gaps in Heart Failure Patient Support in the Middle East and Africa Region

Heart failure (HF) remains a serious health and socioeconomic problem in the Middle East and Africa (MEA). The age-standardized prevalence rate for HF in the MEA region is higher compared to countries in Eastern Europe, Latin America, and Southeast Asia. Also cardiovascular-related deaths remain high compared to their global counterparts. Moreover, in MEA, 66% of HF readmissions are elicited by potentially preventable factors, including delay in seeking medical attention, nonadherence to HF medication, suboptimal discharge planning, inadequate follow-up, and poor social support. Patient support in the form of activation, counseling, and caregiver education has been shown to improve outcomes in patients with HF. A multidisciplinary meeting with experts from different countries across the MEA region was convened to identify the current gaps and unmet needs for patient support for HF in the region. The panel provided insights into the real-world challenges in HF patient support and contributed strategic recommendations for optimizing HF care.