Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment through first-principles calculations of an intermediate-band photovoltaic material based on Ti-implanted silicon: Interstitial versus substitutional origin

Quantum calculations based on density-functional theory are carried out with the aim of discovering the origin of the electronic properties of Ti-implanted Si. This compound is a potential kind of intermediate-band photovoltaic material. Experimental results show a donor level at a few tenths of an eV below the conduction band for this compound. This could correspond to the electronic transition from an intermediate band to the conduction band of the host silicon. The structural, energetic, and electronic properties of several possible configurations appearing from the implantation of Ti on Si are calculated at different dilution levels in order to agree with the experimental conditions. Among the implantation processes, all of which are energetically unfavorable, interstitial Ti setting implies the energetic balance closest to the equilibrium, which agrees with the experimental measurements. Our conclusions predict that interstitial Ti atoms are responsible for the electronic transition found from the measurements, forecasting that a band fulfilling all the requirements of an intermediate-band material is formed in the compound. The optical absorption coefficient of an interstitially Ti-implanted Si compound is shown to illustrate the photoabsorption enhancement achieved in the main part of the solar spectrum with regard to bulk Si.
Modeling and Simulating Student Protests Through Agent-Based Framework

This paper presents an agent-based model to study the effect of grievance, net risk, social, sympathy, and political influence on the likelihood of student protests emerging in South Africa universities. Studies of student protests in several fields have been conducted, but no ABM has been used to explore factors contributing to student protests. Student protests have proved to be disorderly, frequently leading to property damage, academic program cancellations, and injuries. Simulation experiments demonstrated that inequality level, number of activists, activist's influential size, number of friendship ties, suspend delay, and sympathy are elements that determine the model of social conflicts, since there are statistically significant in the logistic regression. For university administration to effectively handle disruptive student protest actions, risk management policies should focus on understanding network structures that integrate students' interactions to monitor the spread of opinions that initiate protest mobilization.
Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute

With the advancement of deep learning to solve autonomous driving problems, the computation and memory requirements have been growing rapidly. Near-pixel compute-based CMOS image sensors (CIS) have been investigated as a potential candidate to perform the initial computations of workloads close to the pixel and reduce data movement. In this work, we design a near-pixel compute CIS capable of implementing a temporal frame filtering network, which rejects redundant image frames targeting autonomous driving applications. To improve performance and avoid image distortion, 3D-stacked global shutter CIS is proposed. This architecture integrates photodiodes with memory and compute units using Cu-Cu hybrid bonding. We propose to use back-end-of-line (BEOL) compatible Tungsten-doped Indium Oxide Transistors (IWO FETs) based embedded DRAM as buffer memory to achieve refresh-free storage and high bandwidth connections between various components. Near-pixel compute circuit is optimized by including sparsity-aware adder tree and using NOR gates as data buffers. The two-tier system comprises photodiodes on tier-1 in 40 nm node, and near-pixel compute and buffer memory on tier-2 in 22 nm node. We perform simulations in Cadence, obtaining an energy efficiency of 65 TOPS/W and a compute density of 1.04 TOPS/mm2 for $8\times8\text{b}$ MAC, with a total latency of 1.15 ms/frame.
Exploring the efficacy and reliability of automatic text summarisation systems: Arabic texts in focus

Abstract This study compared the salient features of the three basic types of automatic text summarisation methods (ATSMs)—extractive, abstractive, and real-time—along with the available approaches used for each type. The data set comprised 12 reports on the current issues on automatic text summarisation methods and techniques across languages, with a special focus on Arabic whose structure has been largely claimed to be problematic in most ATSMs. Three main summarizers were compared: TAAM, OTExtSum, and OntoRealSumm. Further to this, a humanoid version of the summary of the data set was prepared, and then compared to the automatically generated summary. A 10-item questionnaire was built to help with the assessment of the target ATSMs. Also, Rouge analysis was performed to assess the efficacy of all techniques in minimising the redundancy of the data set. Findings showed that the precision of the target summarizers differed considerably, as 80% of the data set has been proven to be aware of the problems underlying ATSMS. The remaining parameters were in the normal range (65–75%). In light of the equations-based assessment of ATSMS, the highest range was noted with the removal of stop word, the least range was noted with POS tagging, stem weight, and stem collection. Regarding Arabic, the statistical analysis has been proven to be the most effective summarisation method (accuracy = 57.59%; reminiscence = 58.79%; F-Value = 57.99%). Further research is required to explore how the lexicogrammatical nature of languages and generic text structure would affect the text summarisation process.
Psychometric properties of the mini international neuropsychiatric interview (MINI) psychosis module: a Sub-Saharan Africa cross country comparison

Abstract Background The Mini International Neuropsychiatric Inventory 7.0. 2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa. Methods We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries. Results Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country. Conclusions The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.
Recurrent Acute Disseminated Encephalomyelitis (ADEM) after COVID-19-vaccination and after subsequent COVID-19-infection: A case report (part II)

Acute disseminated encephalomyelitis (ADEM) is an autoimmune disorder of the central nervous system (CNS), which is commonly associated to previous viral infection or immunization. Cases of ADEM with a potential relationship to both severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and vaccination have been reported. We recently published a rare case of a 65-year-old patient who suffered from a corticosteroid- and immunoglobulin-refractory multiple autoimmune syndrome including ADEM following Pfizer-BioNTech coronavirus disease (COVID)-19 vaccination, and whose symptoms largely resolved after repeated plasma exchange (PE). Four months later, the patient was diagnosed with SARS-CoV-2 omicron variant infection after experiencing mild upper respiratory tract symptoms. Few days later, the patient developed severe tetraparesis with magnetic resonance imaging (MRI) showing multiple new inflammatory contrast-enhancing lesions in the left middle cerebellar peduncle, cervical spinal cord, and ventral conus medullaris. Repeated cerebrospinal fluid (CSF) analyses indicated blood-brain barrier damage (increased albumin ratio) without signs of SARS-CoV-2 invasion (mild pleocytosis, no intrathecal antibody production). SARS-CoV-2 specific immunoglobulin G (IgG) were detected in serum and to a much lower degree in CSF with close correlation between both concentrations over time, reflecting antibody dynamics of vaccine- and infection-induced immune response, and blood-brain barrier patency. Daily PE therapy was initiated. Given the patient's lack of improvement after seven PE, treatment with rituximab was considered. After a first dose, however, the patient suffered epididymo-orchitis leading to sepsis, and declined rituximab continuation. At 3-months follow-up, clinical symptoms had dramatically improved. The patient regained walking ability without assistance. This case of recurrent ADEM after COVID-19-vaccination and after subsequent COVID-19-infection strongly supports the hypotheses of neuroimmunological complications in these conditions being promoted by a systemic immune response and mediated by molecular mimicry of, both, viral and vaccine SARS-CoV-2 antigens and CNS self-antigens.
Doping of spray-pyrolyzed ZnO thin films through direct diffusion of indium: Structural optical and electrical studies

Effect of thermal diffusion of indium in ZnO thin films, prepared using spray pyrolysis technique, is discussed. ZnO:In films were characterized using different techniques such as x-ray diffraction (XRD), photoluminescence, electrical resistivity measurements, and optical absorption and transmission. The XRD analysis showed that all the films had a preferred (002) orientation. There was no considerable change in peak height or full width at half maximum, due to the variation in doping percentage. Peak positions corresponding to (002) and (101) planes were slightly shifted to lower 2θ values. Optical band gap also decreased slightly with indium concentration, and for higher indium concentration percentage of transmission reduced very much. Drastic decrease in resistivity was observed and two activation energies (30 and 15meV) were obtained for the doped samples. These levels were identified as due to zinc interstitials and/or due to indium at zinc lattice and impurity related defect levels. Photoluminescen.
Environmental sustainability practices and strategies in the rural tourism and hospitality sector: a systematic literature review and suggestions for future research

ABSTRACT Environmental sustainability in the rural tourism and hospitality (hereafter abbreviated RT) sector has received increased attention in the last decade. Although several reviews have examined sustainable tourism, a dedicated review of environmental sustainability initiatives in the RT sector is absent. To address this gap, we present a systematic literature review of 100 research articles addressing RT and environmental sustainability from 39 journals. The review indicates that this area is growing and primed for further research. We present three main contributions. First, we identify different stakeholders of RT environmental sustainability. Second, we summarize the driving and barrier roles of each stakeholder in environmentally sustainable RT. Third, we present the benefits of environmentally sustainable RT. We observe the pivotal roles played by entrepreneurs, community, tourists, and policymakers in the development of environmentally sustainable RT but note that stakeholders like corporations, non-governmental organizations, and media have received little or no attention. Based on the gaps we identified, we outline five suggestions for future research in the area and present for each a variety of possible research questions. We then summarize our findings into a RT environmental sustainability framework and discuss the academic, practical, and policy implications of the study.
X-NVDLA: Runtime Accuracy Configurable NVDLA Based on Applying Voltage Overscaling to Computing and Memory Units

This paper investigates a runtime accuracy reconfigurable implementation of an energy efficient deep learning accelerator. It is based on voltage overscaling (VOS) technique which provides dynamic adjustment of approximation level as well as improving lifetime/reliability of the accelerator. The technique is applied to both computing and memory units where based on the minimum required accuracy, the applied voltage is adjusted during the runtime. The implementation of the network is performed using NVDLA which is an open-source CNN (Convolutional Neural Network) accelerator. The approximation is applied to both the accelerator MAC array employed for the required network computations and to the accelerator SRAM memory utilized for storing the inputs (images), weights, and activation data. To control the accuracy degradation of the approximate accelerator (called X-NVDLA), the reduced voltage is applied only to LSB bits of the MAC array and SRAM unit. To assess the efficacy of the proposed energy efficient accelerator, the energy-accuracy characteristics of X-NVDLA when running LeNet-5 and ResNet-50 networks with 8-bit (integer) precision are investigated. In addition, the characteristic of bias temperature instability (BTI), as one of the lifetime deteriorating phenomena is determined. The study includes energy improvement versus accuracy degradation as a function of overscaled voltages and number of approximate the least significant bits using a 15nm FinFET technology.
Magnetic field induced martensitic transformation linked to the arrested austenite in a Ni-Mn-In-Co shape memory alloy

The so-called metamagnetic shape memory alloys transform from a ferromagnetic austenite into a weak magnetic martensitic phase, thus the application of a magnetic field, stabilizing the high magnetization phase, can induce the reverse martensitic transformation. Moreover, the martensitic transformation itself becomes arrested as its temperature range is lowered by the application of high enough magnetic fields. In this work the effect of the magnetic field on a Ni-Mn-In-Co metamagnetic shape memory has been studied by SQUID magnetometry. The arrest of the transformation produced by the field results in metastable states, whose evolution when the field is removed or reduced, follows logarithmic time dependence. The observed behavior is interpreted in terms of the magnetic contribution to the total entropy change associated with the magnetostructural transformation.
Triples and Localizations(1)

Let A be a ring (associative) with unity, and let denote the category of unital left A-modules. If is a strongly complete Serre class in then (see [3], and also [6]) there is an exact functor S: , where is the quotient category , and is an abelian category.
Model of Job Satisfaction and Organizational Commitment

This research focuses on task-oriented leadership styles that have paid very little attention, especially in assessing the impact of task-oriented leadership styles. leadership style on psychological capital, job satisfaction and employee organizational commitment. This research further develops research on the relationship between leadership style, psychological capital, job satisfaction and employee organizational commitment in SMEs in Indonesia, especially in the city of Palembang.The research design is a research plan, namely a detailed explanation of the entire research plan starting from the formulation of the problem, objectives, description of the relationship between variables. The number of samples in this study was 180. It was found that the leadership style variable had an effect on job satisfaction, the psychological capital variable had an effect on satisfaction work, leadership style variables affect organizational commitment, psychological capital variables affect organizational commitment, and job satisfaction variables affect organizational commitment
Using the Schrodinger equation to simulate collisionless matter

A new numerical technique for following the evolution of collisionless matter under the influence of gravity is proposed. Matter is modeled as a Schrodinger field obeying the coupled Schrodinger and Poisson equations. The de Broglie wavelength, λ deB , associated with this field enters as a free parameter and is tuned according to the specifications of the simulation one is doing. In the limit λ deB →0 (a limit which would require infinite computing power) the equations reduce to the coupled Vlasov and Poisson equations as they should. Our method can handle multiple streams in phase space and is competitive in terms of computation time with particle-mesh N-body simulations
Alterations in bacterial community dynamics from noncancerous to Gastric cancer

Gastric microbiome has been shown to contribute to gastric carcinogenesis, understanding how alterations in gastric microbiome is helpful to the prevention and treatment of gastric cancer (GC). However, few studies have focused on the change of microbiome during the gastric carcinogenesis. In this study, the microbiome of gastric juice samples from healthy control (HC), gastric precancerous lesions (GPL) and gastric cancer (GC) was investigated by 16S rRNA gene sequencing. Our results showed that the alpha diversity of patients with GC was significantly lower than other groups. Compared to other groups, some genera in GC group were shown to be up-regulated (e.g., Lautropia and Lactobacillus) and down-regulated (e.g., Peptostreptococcus and Parvimonas). More importantly, the emergence of Lactobacillus was closely related to the occurrence and development of GC. Moreover, the microbial interactions and networks in GPL exhibited higher connectivity, complexity and lower clustering property, while GC showed the opposite trend. Taken together, we suggest that changes in the gastric microbiome are associated with GC and perform a key function in maintaining the tumor microenvironment. Therefore, our findings will provide new ideas and references for the treatment of GC.
Diffraction of strong shocks by cones, cylinders, and spheres

This paper presents experimental investigations of the diffraction of plane strong shocks by several cones, a cylinder, and a sphere. The diffraction pattern, in particular the loci of Mach triple points and the shape of the diffracted shocks are compared with theoretical results obtained from a diffraction theory proposed by Whitham (1957, 1958, 1959). The agreement between theory and experiment is shown to be good. Also given are extensive numerical results supplementing Whitham's papers, and theortical considerations applying Whitham's theory to very blunt bodies.
Chaos in the sunspot cycle: Analysis and Prediction

The variability of solar activity over long time scales, given semiquantitatively by measurements of sunspot numbers, is examined as a nonlinear dynamical system. First, a discussion of the data set used and the techniques utilized to reduce the noise and capture the long-term dynamics inherent in the data is presented. Subsequently, an attractor is reconstructed from the data set using the method of time delays. The reconstructed attractor is then used to determine both the dimension of the underlying system and also the largest Lyapunov exponent, which together indicate that the sunspot cycle is indeed chaotic and also low dimensional. In addition, recent techniques of exploiting chaotic dynamics to provide accurate, short-term predictions are utilized in order to improve upon current forecasting methods and also to place theoretical limits on predictability extent. Finally, we compare the results to chaotic solar-dynamo models as a possible physically motivated source of this chaotic behavior.
Strain Transfer Coefficient Analyses for Embedded Fiber Bragg Grating Sensors in Different Host Materials

Fiber Bragg grating (FBG) sensors have attracted a considerable amount of interest for their superior characteristics. However, the FBG sensors made on bare fibers are easily damaged. For their safe use in engineering, the glass core of optical fibers is coated with softer low modulus protective coatings. A portion of the host material strain is absorbed by the protective coatings when the strain transfers from the host material to the fiber core, and hence only a segment of structural strain is sensed. By introducing the shear modulus of the host material, a novel analytical model is developed for evaluating the sensing strain of the embedded FBG sensors in composite structures based on the strain in a host material. The average strain transfer ratio is deduced to describe the percentage transferred to the optical fiber core from the host material. It is concluded that the shear modulus of the host material influences strain transmission, especially when it is much lower than the modulus of the fiber core. Then, the strain transfer ratio of an optical fiber sensor embedded in a multilayered structure is developed in a similar way. The factors that affect the efficiency of strain transfer on the optical fiber sensor are deduced and discussed in detail based on the theoretical analysis. Finally, the theoretical results are verified through laboratory experimentation with the FBG sensors.
Loneliness and intersubjectivity: A view from Trevarthen's theory

COPYRIGHT © 2023 Galanaki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Loneliness and intersubjectivity: A view from Trevarthen’s theory