Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnostic Yield of Neck CT Angiography in Young Adults With Anterior Circulation Ischemic Stroke: A Community Based Study

Background and Purpose: Few community-based studies investigating young adult strokes exist. The aim of this study was to determine the diagnostic yield of head and neck CTA in evaluation of anterior circulation ischemic stroke in young adults. Materials and Methods: This retrospective review is limited to patients between the ages of 18-50 presenting to the Mayo Clinic Rochester emergency department or referred from smaller institutions in adjacent counties. Patients with posterior circulation infarcts, amaurosis fugax, central retinal artery occlusion or transient ischemic attacks were excluded. The presence of carotid dissection, webs, plaque, or other high-risk lesions were recorded. Results: A total of 136 patients met inclusion criteria. Mean degree of carotid stenosis ipsilateral to infarct was 14.1%, compared to 6.5% on the contralateral side (p = .006). Ipsilateral mean carotid wall thickness measured . 79 mm, compared to contralateral thickness of . 80 mm (p = .51). Ipsilateral low-density plaque was observed in 22 patients (16.2%), and 21 patients (15.4%) on the contralateral side (p = .87). Ipsilateral calcified plaque was observed in 37 patients (27.2%), and 29 patients (21.3%) on the contralateral side (p = .31). 20 (14.7%) ipsilateral dissections were noted, compared to 4 (2.9%) contralateral dissections (p = .001). 3 (2.2%) ipsilateral carotid webs were identified, compared to 0 contralateral webs (p = .25). Conclusion: Carotid dissection was the most common cause of anterior circulation infarct identified on cervical CTA in this population. Carotid webs and atherosclerosis were not common findings.
Characterisation of corrosion products formed on copper exposed at indoor and outdoor sites with high H2S concentrations

Corrosion products formed on copper exposed indoors and outdoors at sites with high hydrogen sulphide (H2S) concentrations were characterised using several analytical techniques. The crystalline corrosion products that formed on the copper exposed indoors were chalcocite (Cu2S) and cuprite (Cu2O), while those that formed on the copper exposed outdoors were chalcocite, cuprite and basic copper sulphates. Surface analysis by X-ray photoelectron spectroscopy revealed differences between the copper exposed indoors and outdoors that are explained by the composition, localisation and oxidation of the corrosion products. The surface morphologies of the corrosion products also differed. Elemental depth profiling by glow discharge optical emission spectroscopy revealed that the corrosion products that formed indoors were mainly chalcocite with cuprite only at and near the surface. In contrast, the corrosion products that formed outdoors were a mixture of chalcocite and cuprite. These differences in corrosion products are attributed to the differences in relative humidity during exposure.
Implications of Network Diversity for Venture Growth: The Mediation Effect of Entrepreneurial Alertness

This paper extends the conventional wisdom of social networks and entrepreneurship by clarifying the relationship between network diversity and venture growth as well as by studying the mediation effect of entrepreneurial alertness on network diversity. It highlights the importance of diverse networks for providing heterogeneous information and resources, which is the antecedent of entrepreneurial alertness. In this paper, Global Entrepreneurship Monitor (GEM) data from 44 countries are used in our analysis, considering the country’s impact. Overall, we concluded that network diversity can significantly predict entrepreneurial alertness, and a venture’s growth. Furthermore, an entrepreneur’s educational level and entrepreneurial experience have positive moderating effects on the relationship between network diversity and entrepreneurial alertness.
Parameterization of the Optical Properties of Sulfate Aerosols

Parameterizations of the shortwave optical properties of ammonium sulfate [(NH 4) 2SO4], ammonium bisulfate (NH4HSO4), and sulfuric acid (H 2SO4) are provided as functions of relative humidity for high and low spectral resolution band models. The optical property parameterization is simple in form and in its dependence on relative humidity. The growth of the aerosol particles is based on equilibrium saturation theory, and the optical properties are computed from Mie theory. The optical properties necessary for the most commonly used radiative transfer methods are provided. Results show that when relative humidity effects are included in the backscatter fraction the radiative forcing is found to be a more sensitive function of near infrared wavelengths compared to visible wavelengths. For increasing relative humidity, sulfuric acid is found to have a larger effect on radiative forcing compared to the forcing by ammonium sulfate or ammonium bisulfate. Also, as relative humidity increases, forcing increases to higher values for smaller mode size distributions compared to forcing by larger mode distributions. These parameterizations will enable climate forcing studies to be performed with radiative transfer schemes that more accurately represent sulfate influences on the radiation balance.
Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data

This paper looks at potential vulnerabilities of the Smart Grid energy infrastructure to data injection cyber-attacks and the means of addressing these vulnerabilities through intelligent data analysis. Efforts are being made by multiple groups to provide to defence-in-depth to Smart Grid systems by developing attack detection algorithms utilising artificial neural networks that evaluate data communication between system components. The first priority of such algorithms is the detection of anomalous commands or data states; however, anomalous data states may also result from physical situations legitimately encountered by equipment. This work aims at not only detecting and alerting on anomalies, but at intelligent learning of the system behaviour to distinguish between malicious interference and anomalous system states occurring due to maintenance activity or natural phenomena, such as for instance a nearby lightning strike causing a short-circuit fault.
Factors Affecting the Online Purchase Intention during COVID-19 Crisis: The Case of Morocco

During the health crisis, governments took safety measures to prevent the widespread of COVID-19. This resulted in a shift in customer behavior towards daily activities and created an opportunity for online businesses. This research aims at building an understanding of the factors affecting the online purchase intention during a health crisis and specifically during the period of COVID-19 in Morocco. An extended model of Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and structural assurance would be in a more comprehensive manner to understand the behavioral intention of online shopping. Furthermore, a sample survey is used to empirically examine this framework. The results show that all variables are significantly impactful of the customer’s intention to use online shopping during COVID-19 crisis.
Neural–Behavioral Relation in Phonetic Discrimination Modulated by Language Background

It is a well-demonstrated phenomenon that listeners can discriminate native phonetic contrasts better than nonnative ones. Recent neuroimaging studies have started to reveal the underlying neural mechanisms. By focusing on the mismatch negativity/response (MMN/R), a widely studied index of neural sensitivity to sound change, researchers have observed larger MMNs for native contrasts than for nonnative ones in EEG, but also a more focused and efficient neural activation pattern for native contrasts in MEG. However, direct relations between behavioral discrimination and MMN/R are rarely reported. In the current study, 15 native English speakers and 15 native Spanish speakers completed both a behavioral discrimination task and a separate MEG recording to measure MMR to a VOT-based speech contrast (i.e., pre-voiced vs. voiced stop consonant), which represents a phonetic contrast native to Spanish speakers but is nonnative to English speakers. At the group level, English speakers exhibited significantly lower behavioral sensitivity (d’) to the contrast but a more expansive MMR, replicating previous studies. Across individuals, a significant relation between behavioral sensitivity and the MMR was only observed in the Spanish group. Potential differences in the mechanisms underlying behavioral discrimination for the two groups are discussed.
ANTARCTIC WIND INTENSIFICATION AS INFERRED FROM THE NCEP/NCAR REANALYSIS DATA

NCEP/NCAR reanalysis data have been used to examine variations of the sea level pressure and of the surface wind speed in the Antarctic region from 1950 to 2019. The objective of the work was to identify changes and quantify long-term trends in these two major weather and climate elements. The analysis included time series of monthly mean values of the sea level pressure and of the surface wind speed as well as their yearly means. The study has shown a gradual decrease of the sea level pressure and a gradual increase of the surface wind speed in the high latitude region of the Southern Hemisphere in the last 70 years (1950–2019). The largest pressure decrease was within 65–70°S latitude band approximately corresponding to the location of the Antarctic Circumpolar Trough (ACT). The estimated trend in the yearly averaged sea level pressure ranged from –0.058 mb/yr over the open ocean north of ACT, within the 50–60°S latitude band, to –0.148 mb/yr over the Antarctic continent, within 65–85°S latitudes. The zonal-mean wind speed trends ranged within 0.020 m/s/yr and 0.026 m/s/yr over the continent and over the open ocean with up to the 3–4 times larger values in the coastal areas of East Antarctica. Seasonally larger changes in both parameters occurred in the cold period of the year from April to August. Trends in both the sea level pressure and in the wind speed in the Antarctic region were found to generally decelerate in the last decade covered by the dataset.
Review of Lok Purusha Doctrine of Ayurveda Psychology in Cognitive Correction during Counseling

Perceptual errors and cognitive distortion is considered as a main reason behind maladaptive behavior of individuals. In Ayurveda psychology cognitive correction utilizes principles of a doctrine termed as Lok purusha or the theorem of interconnectedness of man and universe. The doctrine has various components which are utilized for counseling especially while providing psychological first aid for a trauma affected patients and in grief counseling. The previous published works published are focused upon the physiological, anatomical and spiritual utility of this doctrine. On the other hand this theorem stands as a base for various cognitive therapies in Ayurveda. The publications regarding the utility in psychology are not to be found. Hence this review article is an attempt to bring light into the doctrine’s multiple dimensions of sociology neurology and psychology and elaborate how it is applied in the cognitive therapy of Ayurveda.
ANTIBACTERIAL EFFECTIVENESS OF PROSOPIS JULIFLORA AGAINST AEROBIC AND ANAEROBIC BACTERIA

Objective: The aim of this study is to analyse the antibacterial effectiveness of the leaf extract of Prosopis juliflora against aerobic and anaerobic bacteria and the objectives include maintaining the culture of Clostridium perfringens ATCC 3624, Staphylococcus aureus ATCC 25923, E. coli ATCC 25922 and to obtain an extract from the leaves of Prosopis juliflora by water extraction method. Agar cup diffusion testing is carried out to test the effectiveness of the extracted herb against the isolated strains of the above-mentioned bacteria. Methods: Cross-sectional study was conducted for 6 mo in the Clinical Microbiology Laboratory at SMCH. Extract from the leaves of Prosopis juliflora was collected by a water extraction method. Isolation of Clostridium perfringens (from RCMB), Staphylococcus aureus and Escherichia coli were done, following which the agar cup diffusion method was performed in which the collected extracts were placed as discs in the agar plate which had been inoculated with the strains of the isolated bacteria. The agar plate was then incubated anaerobically. Agar cup diffusion method is considered as a primary method to determine the antimicrobial effectiveness of the bacteria. Results: The leaf extract of Prosopis juliflora was found to be effective against both aerobic and anaerobic bacterial strains. Conclusion: Based on the work, the effectiveness of Prosopis juliflora was determined and the mechanism of susceptibility was identified. With future research works in the field, many such natural herbal extracts can be proven to be effective against many pathogenic microorganisms.
Recyclable Wastes as Internal Curing Materials to Improve High-Performance Concrete’s Sustainability, and Durability: An Overview

This study discusses the researchers’ experiences with regard to the use of sustainable materials (waste materials and recycling materials) as internal curing materials during the development process for high-performance concrete (HPC). Generally, the use of waste materials as internal curing materials to enhance interior curing reduces the self-desiccation that occurs in cement paste concrete and can thus reduce the risks of the cracks that may develop as a result of modern concrete hardening. This research also examines high-performance concrete behaviours, including characteristics such as density, compressive strength, splitting tensile strength, and flexural strength to examine internal curing efficiency. This appears to be more effective with age progression in terms of compressive strength and splitting tensile strength. The results of the research show that the use of waste materials as internal curing agents not only enhances the properties of concrete but also offers a renewable method for reducing the amount of waste globally.
CT Puzzle Test: Em direção a uma avaliação interativa do pensamento computacional

Assessing Computational Thinking (CT) is essential to understand the benefits it can bring to Basic Education. However, most evaluative methods analyze static codes and not the thinking process that occurred during problem solving. This work seeks to fill this gap by presenting an assessment tool based on puzzles, called CT Puzzle Test. The process of assessing the validity of the instrument has already covered the stages of apparent validity, content validity and convergent validity, where it obtained a moderate correlation (p = 0.62) with the Computational Thinking Test instrument. The CT Puzzle Test has evolved to become a platform that allows the creation and application of PC tests based on puzzles. Resumo. Avaliar o Pensamento Computacional (PC) é fundamental para que se possa compreender os benefícios de ensiná-lo na Educação Básica. No entanto, a maioria dos métodos avaliativos, analisa códigos estáticos e não o processo de pensamento ocorrido durante a resolução do problema. Esse trabalho, procura preencher essa lacuna ao apresentar um instrumento de avaliação baseada em puzzles, chamado CT Puzzle Test. O processo de aferição da validade do instrumento já contemplou as etapas de validade aparente, validade de conteúdo e validade convergente, onde obteve correlação moderada (p=0,62) com o instrumento Computational Thinking Test. O CT Puzzle Test foi evoluído para se tornar uma plataforma que possibilita a criação e aplicação de testes de PC baseados em puzzles.
Indoor chemistry. Ozone, volatile organic compounds, and carpets

Volatile organic compounds (VOCs) have been measured in a freshly carpeted 20-m[sup 3] stainless-steel room in both the absence and presence of ozone (ozone concentrations ranging from 30 to 50 ppb, with one experiment conducted at 400 ppb). Four different types of carpeting were exposed, and in each set of experiments, the room was ventilated at 1 air exchange/h. The gas-phase concentrations of selected carpet emissions (e.g., 4-phenylcyclohexene, 4-vinylcyclohexene, and styrene) significantly decreased in the presence of ozone. Conversely, the concentrations of other compounds (e.g., formaldehyde, acetaldehyde, and aldehydes with between 5 and 10 carbons) significantly increased. Furthermore, the total concentration of VOCs increased markedly in the presence of ozone. The additional VOCs appear to have been generated by reactions between ozone and relatively nonvolatile compounds associated with the carpets. These studies suggest that VOCs measured within a building at elevated ozone levels (>30 ppb) may differ from those measured at lower ozone levels (<10 ppb). 12 refs., 2 figs., 6 tabs.
Thermal conversion of CBD grown ZnS thin films to ZnO

Abstract Nano crystalline zinc sulfide thin films were deposited onto glass substrates by chemical bath deposition method. One of the samples was annealed at 300 °C for 2 h in air using a muffle furnace. The prepared thin films were investigated by X-ray diffraction (XRD), UV–visible spectroscopy (UV–vis), photoluminescence spectroscopy (PL), scanning electron microscopy (SEM) and Raman spectroscopy (FT-R) studies before and after annealing. The analysis confirmed the thermal-induced anion substitution and conversion of ZnS crystal to ZnO wurtzite crystal. XRD pattern showed that these films were phase pure and polycrystalline in nature. Optical band gap was found to be 3.86 eV for ZnS and 3.21 eV for ZnO. The films prepared by this simple, low-cost technique are suitable for photovoltaic and optoelectronic applications.
Non-Intrusive Load Monitoring of Residential Water-Heating Circuit Using Ensemble Machine Learning Techniques

The recent advancement in computational capabilities and deployment of smart meters have caused non-intrusive load monitoring to revive itself as one of the promising techniques of energy monitoring. Toward effective energy monitoring, this paper presents a non-invasive load inference approach assisted by feature selection and ensemble machine learning techniques. For evaluation and validation purposes of the proposed approach, one of the major residential load elements having solid potential toward energy efficiency applications, i.e., water heating, is considered. Moreover, to realize the real-life deployment, digital simulations are carried out on low-sampling real-world load measurements: New Zealand GREEN Grid Database. For said purposes, MATLAB and Python (Scikit-Learn) are used as simulation tools. The employed learning models, i.e., standalone and ensemble, are trained on a single household’s load data and later tested rigorously on a set of diverse households’ load data, to validate the generalization capability of the employed models. This paper presents a comprehensive performance evaluation of the presented approach in the context of event detection, feature selection, and learning models. Based on the presented study and corresponding analysis of the results, it is concluded that the proposed approach generalizes well to the unseen testing data and yields promising results in terms of non-invasive load inference.
SOCIO-CULTURAL ADAPTATION OF CHILDREN WITH SENSORY DISABILITIES IN THE BULGARIAN SOCIO-CULTURAL ENVIRONMENT

The problem of sociocultural adaptation of children with sensory disorders has a proper place in the Bulgarian sociocultural space. This article is devoted to a two-year-long study whose relevance is conditioned by the need to find ways to successfully integrate these children in a modern civilized society. The formulated aim of the study is focused on establishing the level of socio-cultural adaptation of children with impaired auditory and visual modality and the identification of factors that determine its peculiarities. 210 children with sensory impairments from early school, primary school and middle-school age were included, ditinguished into the following 4 groups: the ones with impaired hearing (n = 60), deaf children (n = 42), visually impaired children (n = 77), blind children (n = 31); 47 teachers from general and special structures, 153 parents. The methods used are: observation, surveying, interviewing, expert evaluation, analysis of normative documents and experimental materials, statistical analysis of empirical data (correlation, alternative and comparative analysis). From the summarized results, it is concluded that for children with the described model of ontogeny, socio-cultural adaptation is a concept that is represented at different levels. The clearly expressed dominants are the medium and low levels, which implies the partial or complete impossibility of fulfilling the generally accepted socio-cultural functions. In addition to the degree of sensory impairment as factors determining the characteristics of the sociocultural adaptation of children, the following factors were outlined: the professional readiness of teachers, the level of psychological and pedagogical competence of the family, and the attitudes of the society towards children with atypical development. UDC Classification: 376, DOI: https://doi.org/10.12955/pss.v1. 50
Sulfur accumulation in Vertisols due to continuous gypsum application for six years and its effect on yield and biochemical constituents of soybean (Glycine Max L. Merrill)

Application of S through inorganic sources is recommended to the crops in the cropping system in S deficient soils of India. However, transformations of S in the soil profile following continuous gypsum application are not known. The accumulation of S into different fractions due to application of a total of 180—540 kg S ha—1 over a six-year-period in soybean — wheat cropping system and its effect on the yield and quality of soybean produce were investigated in a vertisol area. About 25—38% of the S added was retained in the 90 cm depth of profile. Significant changes in the total S content in soil layers were recorded wherein a total of 360 kg S ha—1 or more S was applied. Maximum increase in total S content was recorded in upper layers. Soluble S accumulated more in the 30—75 cm depth; whereas, proportion of sorbed fraction of S increased with depth. Build up of S in the surface layer of the profile was mostly related to the increase in organic fraction. The S accumulation in lower layers of the profile was mostly due to increase in soluble and sorbed fractions of S. Such an increase of the S content in the soil caused an increase in seed yield, uptake of S as well as content of oil and S containing amino acids, cystine, and methionine in seed of soybean crop. Schwefelakkumulation in Vertisolen infolge sechsjahriger Gipsapplikation und Einflusse auf Ertrag und biochemische Bestandteile von Soja (Glycine Max L. Merrill) In Boden mit Schwefel (S)-Mangel in Indien wird eine mineralische S-Dungung der Pflanzen empfohlen. Die Umsetzungen des S in Bodenprofilen nach Gipsapplikation sind nicht bekannt. Die Tiefenverteilung von S-Fraktionen nach einer Dungung von insgesamt 180—540 kg S ha—1 zu einer Soja-Weizen-Fruchtfolge wurde in Vertisol-Profilen untersucht. Etwa 25—38% des zugefuhrten S verblieben in den Bodenprofilen bis 90 cm Tiefe. Signifikante Anderungen der Gesamt-S-Gehalte wurden erst ab Zufuhren von 360 kg S ha—1 nachgewiesen. In den obersten Bodenschichten stiegen die Gesamt-S-Gehalte am starksten an. Diese Anreicherungen waren insbesondere durch Erhohungen der Gehalte an organisch gebundenem S verursacht. Loslicher S wurde besonders in 30—75 cm Profiltiefe angereichert. Die Anteile an sorbiertem S stiegen mit zunehmender Profiltiefe. Erhohte S-Gehalte in den unteren Profilteilen waren vor allem auf die losliche und sorbierte Fraktion des S zuruckzufuhren. Die erhohten S-Gehalte der Boden bedingten hohere Ertrage, S-Aufnahme, Olgehalte und Gehalte der S-haltigen Aminosauren Cystin und Methionin in den Sojabohnen.