Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Workplace Deviant Behaviours among Non-academic Staff in Universities in South-South Nigeria

This paper studied the determinants of workplace deviant behaviours (WDB) among non-academic staff in universities in South-South Nigeria. Three hundred (300) non-academic staff were drawn equally from the six universities in the six states that make up the South-South region of Nigeria. Data were generated from two hundred and nineteen (219) questionnaires received from the respondents without errors and analyzed using Pearson's Product Moment Correlation. The results found that vandalism, manipulation of records, abuse of office, wastage of office resources, leaving early from work, favouritism, gossiping, and aggression towards colleagues were prominently workplace deviant behaviour. In addition, the study established that the individual-related factors that cause these deviant behaviours are job stress, personality traits, emotional intelligence and moral deviation, while interpersonal factors are group norms and group behaviours. In the same vein, the organizational factors include workplace religiousity, workplace support, job security, career management, and HR practices. The study concludes that a statistically significant relationship exists between the two major categories of workplace deviant behaviours, interpersonal and organizational factors responsible for deviant behaviours practiced among non-academic staff in universities in South-South Nigeria. The study recommends that university management should set up a committee to strictly address and combat the identified deviant behaviours that are commonly practiced among her non-academic staff in the institution.
Beyond Money Whitening: Racialized Hierarchies and Socioeconomic Escalators in Mexico

A core sociological claim is that race is a social construction; an important illustration of this is how racial classifications are influenced by people’s socioeconomic status. In both Latin America and the United States, someone with higher SES is more likely to be classified as White than others of similar appearance, a pattern epitomized by the expression “money whitens. ” However, recent studies of the effect of SES on racial classifications show inconsistent results, sometimes depending on the measures used. We develop a broad theorization of societies as having multiple racialized hierarchies with different socioeconomic escalators potentially bringing people to higher-status locations in each one. Yet racialized hierarchies differ across societies, and some non-White classifications may reflect a process of upward movement while others may not. We assess this process in Mexico using the 2019 Project on Ethnic-Racial Discrimination in Mexico, a nationally-representative survey including highly accurate digital skin-color ratings, perceived skin-color assessments, and ethnoracial classifications by respondents and interviewers. We find that having higher education increases respondents’ self-classification as Mestizo. Yet those with greater wealth are “whitened” by interviewers. Simultaneously, respondents and interviewers “lighten” respondents with greater wealth. We argue that SES can differentially affect mobility in different racialized hierarchies, showing how race is constructed partly by other social constructs like class.
Evidence Based Obesity Prevention Program among Primary School Students according to 100 Million Health Initiative

: Background: Childhood obesity considers a global health problem; 100 million health initiative was launched for early detection of non-communicable diseases such as obesity. Aim: This study aimed to evaluate the effect of evidence based obesity prevention program among primary school students according to 100 million health initiative. Research design: A quasi experimental design was carried in this study. Setting: This study was conducted at seven Governmental Primary Schools in Benha City. Schools selected randomly one from each sector from total 108 schools that distributed into 7 sectors. Sample: Systematic random sample was used to select 180 primary schools students. Tools of data collection: Three tools were used. I: A structured interview questionnaire which included demographic characteristics of the primary school students, family and medical history, knowledge regarding obesity and 100 million health initiative. II: Practices of primary school students regarding prevention of obesity. III: Attitude scale regarding prevention of obesity. Results: 10.0% of primary school students had good knowledge regarding obesity and 100 million health initiative pre-implementation of program which improved to 75.0% post- implementation of program, 9.4% of them had satisfactory practices regarding prevention of obesity pre-implementation of program which improved to 72.8% post-implementation of program and 27.8% of them had positive attitude regarding prevention of obesity pre-implementation of program which improved to 82.2% post-implementation of program. Conclusion: Evidence based obesity prevention program had a significant positive effect in improving knowledge, practices and changing attitude of primary school students. Recommendations: Continuing evidence based obesity prevention program for primary school students to increase their knowledge and practices to prevent obesity.
Evaluating the Effectiveness of Islamic Religious Education Learning in Implementing 2013 Curriculum in Madrasah

This study aims to obtain objective information, process quality, and output quality in Islamic religious education learning. The present study used a qualitative approach with the model developed by Widoyoko covering the quality of the process and the quality of the learning output. This research applies a program evaluation study method. The data were collected through document studies, interviews, questionnaires, and observations. The results showed that the evaluation of the Islamic Religious Education learning program in Madrasah Aliyah Negeri 1 Central Maluku Regency was in good category (84%) based on the quality of the learning program process and learning output. There are several aspects in evaluating the quality of the process and the quality of learning output that need to be improved. Learning facilities, student motivation, class climate, student attitudes, and students' personal skills should be improved to achieve effective and efficient Islamic religious education learning.
On sampling distributions for coalescent processes with simultaneous multiple collisions

Recursions for a class of sampling distributions of allele configurations are derived for the situation where the genealogy of the underlying population is modelled by a coalescent process with simultaneous multiple collisions of ancestral lineages. These recursions describe a new family of partition structures in terms of the composition probability function, parametrized by the infinitesimal rates of the coalescent process. For the Kingman coalescent process with only binary mergers of ancestral lines, the recursion reduces to that known for the classical Ewens sampling distribution. We solve the recursion for the star-shaped coalescent. The asymptotic behaviour of the number Kn of alleles (types) for large sample size n is studied, in particular for the star-shaped coalescent and the Bolthausen-Sznitman coalescent.
Unearthing gender violence with/in kindergarten play environments

ABSTRACT This paper implements a feminist new material lens to illuminate how the spaces and objects of play are actively involved in the enactment and normalisation of gender violence in kindergarten. Findings from data collected in two Canadian kindergartens show how the familiar and mundane spatial-material arrangements of play, namely the use of blocks, implicitly propagated hierarchal gender divisions in children’s play and facilitated explicit acts of material violence by boys against girls. Drawing on Blaise’s (Blaise, M. 2005. Playing it Straight: Uncovering Gender Discourses in the Early Childhood Classroom. New York: Routledge Taylor & Francis Group, Blaise, M. 2014. “Interfering with Gendered Development: A Timely Intervention.” International Journal of Early Childhood 46: 317–326.) concept of post-developmentalism, the author concludes with a discussion on the possibilities of feminist new material frameworks in early learning and for re-thinking current play-based practices.
A Novel Interstitial Site in Binary Rock-Salt Compounds

The energetic and mechanical stability of interstitial point defects in binary rock-salt materials were studied using the first-principles method. A novel, stable, and energetically competitive interstitial site (base-interstitial) was identified for anion interstitials in rock-salts. The formation energies of base-interstitial defects were compared with well-explored tetrahedral (body-interstitial) and split interstitials and were found to be energetically highly competitive. For alkali halides and silver bromide, the lowest formation energies are associated with the base-interstitial site and the <110> split interstitial, which are therefore the predominant interstitial sites. However, split interstitials were found to be the energetically preferred configuration in metal monochalcogenide systems. Electronic band structures are affected by the presence of interstitial defects in rock-salt structures. In particular, the Fermi level is shifted below the valence band maxima for the body, base, and split interstitials in metal halides, indicating p-type conductivity. However, the Fermi level remains within the bandgap for metal monochalcogenides, indicating no preferred conductivity for base- and split-interstitial defects. Allowing the defects to be charged changes the relative stability of the interstitial sites. However, the new base-interstitial site remains preferred over a range of potentials for alkali halides. The anion base-interstitial is found to form a triatomic entity with the nearest lattice anions that affect the electronic structure relative to the body interstitial. The discovery of a new interstitial site affects our understanding of defects in binary rock-salts, including structure and dynamics as well as associated thermodynamic and kinetic properties that are interstitial dependent.
The Influence of Trial-By-Trial Feedback on Trust in Health, First-Episode and Chronic Psychosis

Trust is crucial to establishing reciprocal, positive social interactions and seems to be compromised in psychosis. The trust game offers methods to assess an individual’s trust responses to trust-reciprocating, positive feedback. Various computational techniques have been implemented to measure trust responsiveness, mostly based on investments. Here, we propose a new method, focusing on feedback response. Psychosis patients show social dysfunction and reduced trust during early and more progressed illness stages. The present study inspects differences in feedback responsiveness of 102 first-episode psychosis patients (FEPs), 43 chronic psychosis patients (CPs), and 39 healthy controls (HCs) by adopting a novel assessment approach. Additionally, baseline trust, the trust exerted without any prior knowledge of the partner’s trustworthiness, and mean trust were examined. Participants performed a multi-round trust game, playing the investor role, and were paired with a computer, programmed to return at least the invested amount, representing a trustworthy partner. The new method detected group differences, more distinguished than the former methods. Contrary to our expectations, baseline trust was intact in patients. Relative to HCs, patients were less responsive to feedback, failing to integrate the positive information into their decision-making process. The magnitude of returns was not associated with increases in trust. This novel method showed promising results and confirmed patients’ deficits within the social interactional domain.
Evaluating and Visualizing the Contribution of ECG Characteristic Waveforms for PPG-Based Blood Pressure Estimation

Non-invasive continuous blood pressure monitoring is of great significance for the preventing, diagnosing, and treating of cardiovascular diseases (CVDs). Studies have demonstrated that photoplethysmogram (PPG) and electrocardiogram (ECG) signals can effectively and continuously predict blood pressure (BP). However, most of the BP estimation models focus on the waveform features of the PPG signal, while the peak value of R-wave in ECG is only used as a time reference, and few references investigated the ECG waveforms. This paper aims to evaluate the influence of three characteristic waveforms in ECG on the improvement of BP estimation. PPG is the primary signal, and five input combinations are formed by adding ECG, P wave, QRS complex, T wave, and none. We employ five common convolutional neural networks (CNN) to validate the consistency of the contribution. Meanwhile, with the visualization of Gradient-weighted class activation mapping (Grad-CAM), we generate the heat maps and further visualize the distribution of CNN’s attention to each waveform of PPG and ECG. The heat maps show that networks pay more attention to the QRS complex and T wave. In the comparison results, the QRS complex and T wave have more contribution to minimizing errors than P wave. By separately adding P wave, QRS complex, and T wave, the average MAE of these networks reaches 7.87 mmHg, 6.57 mmHg, and 6.21 mmHg for systolic blood pressure (SBP), and 4.27 mmHg, 3.65 mmHg, and 3.73 mmHg, respectively, for diastolic blood pressure (DBP). The results of the experiment show that QRS complex and T wave deserves more attention and feature extraction like PPG waveform features in the continuous BP estimation.
Effect of Three Treatment Modalities for White Spot Enamel Lesions on Enamel Surface Roughness and Micro-Hardness

Introduction: White spot lesions (WSLs) are early signs of enamel demineralization, which may or may not lead to the development of caries, this indicates that there is a mineral loss of subsurface area beneath an intact enamel surface. Aim: This is a vitro study evaluated the effect of three treatment modalities for white spot enamel lesion namely; resin infiltration, remineralization and micro-abrasion on enamel surface roughness and micro-hardness. Materials and methods: Artificial white spot lesions were produced in enamel surface from a sixty intact extracted human permanent premolars were selected for the study. The selected teeth were divided into three groups according to methods of treatment of white spot lesion (20 teeth each); resin infiltration, micro-abrasion and remineralization. For both surface roughness and micro-hardness tests, the assessment was done three times; prior to WSLs productions (baseline) after WSLs production (pretreatment phase) and after treatment (post treatment phase). The different between base line and post treatment phase values will be calculated and represented as the change occurring (value). Statistical analysis was done using one way Anova. Results: The results of the current study showed that after treatment of WSLs the surface roughness improved significantly in all tested groups but there was no statistically significant difference between all treated groups. Also, the results of the current study showed that after treatment of the WSLs the microhardness increased in all groups but there was statistically significant difference between Icon ® treated group compared to both Opalustre ® and Tooth Mousse ® treated groups. Conculsions: The three tested modalities for the treatment of white spot lesions could improve the surface roughness and the micro-hardness of the treated enamel but the Opalustre ® and Tooth Mousse™ were equally effective in improving the microhardness ® and more effective than Icon. demineralization, which may or may not lead to the development of caries, this indicates that there is a mineral loss of subsurface area beneath an intact enamel surface. This loss of mineralized layer creates porosities that change the refractive index of usually translucent enamel, so the white spot lesions can appear as a milky white opacity when located on smooth surfaces and detected by the naked eye (1) .
EFFECTS OF FERTILIZATION AND PACKING TREATMENTS ON STORABILITY OF Anethum graveolens HERB

The present study was conducted during two successive seasons (1999-2000 and 2000-2001) to investigate the effect of packing material and storage duration on the quality of Anethum graveolens fresh herb. The plants were grown under different fertilization regimes that may also have impact in this respect. The fresh herb was packed in either perforated or non-perforated polyethylene bags and stored at 0ºC and 98% relative humidity for either 15, 30 or 40 days. The stored herb was investigated with regard to weight loss, respiration rate, as well as its contents of vitamin C, chlorophyll (a and b), N, P, and K. The results revealed that the most proper storage period should not exceed than 30 days, since longer periods negatively affected the studied compounds of the herb. The non-perforated packages proved to be better than the perforated one, it help in keeping the herb freshness and chemical composition. Herb collected from plants received organic manure plus bio-fertilizers was the best compared to that received other fertilization treatments. Under such treatment the herb kept its contents of chlorophyll (a and b), vitamin C and minerals at their highest levels.
GEOSTATISTICAL ANALYSIS OF TOPSOIL SODICITY USING COLLOCATED COKRIGING

Geostatistics provides descriptive tools to characterize the spatial distribution of soil attributes. Kriging techniques rely on the spatial dependence between observations to predict attribute values at un-sampled locations. Cokriging on the other hand, utilizes the spatial correlation between two variables to map the primary one, which is under-sampled, using information content of the secondary variable. Collocated cokriging is used when the primary and the secondary variables are sampled at the same location. The present study aimed at applying collocated cokriging to map topsoil sodicity (primary variable) measured in 28 samples, using the information content of topsoil salinity (secondary variable) measured in 134 samples. Topsoil sodicity (SAR) ranged between 3.65 and 28.85, whereas topsoil salinity (EC) varied from 0.36 to 12.24 dS/m. The correlation coefficient, r, between the two variables is 0.98, which satisfies the most important criteria for carrying out cokriging. The fitted semivariograms for both variables are Gaussian, and the cross-semivariogram between the two variables is also Gaussian. The cokriged spatial distribution of topsoil sodicity was mapped and compared to kriged SAR. The cokriging results were cross-validated and the standard error of estimation was matched to that of kriging. The study showed the superiority of cokriging upon kriging as a spatial mapping method, especially if the primary variable is under-sampled.
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset

Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later stages. The diagnosis of skin cancer at an earlier stage is crucial for the success rate of complete cure. The efficient detection of skin cancer is a challenging task. Therefore, the numbers of skilful dermatologists around the globe are not enough to deal with today’s healthcare. The huge difference between data from various healthcare sector classes leads to data imbalance problems. Due to data imbalance issues, deep learning models are often trained on one class more than others. This study proposes a novel deep learning-based skin cancer detector using an imbalanced dataset. Data augmentation was used to balance various skin cancer classes to overcome the data imbalance. The Skin Cancer MNIST: HAM10000 dataset was employed, which consists of seven classes of skin lesions. Deep learning models are widely used in disease diagnosis through images. Deep learning-based models (AlexNet, InceptionV3, and RegNetY-320) were employed to classify skin cancer. The proposed framework was also tuned with various combinations of hyperparameters. The results show that RegNetY-320 outperformed InceptionV3 and AlexNet in terms of the accuracy, F1-score, and receiver operating characteristic (ROC) curve both on the imbalanced and balanced datasets. The performance of the proposed framework was better than that of conventional methods. The accuracy, F1-score, and ROC curve value obtained with the proposed framework were 91%, 88.1%, and 0.95, which were significantly better than those of the state-of-the-art method, which achieved 85%, 69.3%, and 0.90, respectively. Our proposed framework may assist in disease identification, which could save lives, reduce unnecessary biopsies, and reduce costs for patients, dermatologists, and healthcare professionals.
The Coulomb branch of the Leigh-Strassler deformation and matrix models

The Dijkgraaf-Vafa approach is used in order to study the Coulomb branch of the Leigh-Strassler massive deformation of = 4 SYM with gauge group U(N). The theory has = 1 SUSY and an N-dimensional Coulomb branch of vacua, which can be described by a family of ``generalized'' Seiberg-Witten curves. The matrix model analysis is performed by adding a tree level potential that selects particular vacua. The family of curves is found: it consists of order N branched coverings of a base torus, and it is described by multi-valued functions on the latter. The relation between the potential and the vacuum is made explicit. The gauge group SU(N) is also considered. Finally the resolvents from which expectation values of chiral operators can be extracted are presented.
Clinical applications of liquid biopsy in HPV-negative and HPV-positive head and neck squamous cell carcinoma: advances and challenges

Head and neck squamous cell carcinomas (HNSCCs) represent the most common epithelial tumors that arise from mucosa of the oral cavity, pharynx, and larynx. The development of HNSCCs is usually associated with tobacco use, alcohol consumption, and human papillomavirus (HPV) infection. Most HNSCCs are diagnosed in advanced states, leading to a worse clinical outcome. Screening tests based on potential biomarkers associated with HNSCCs could improve this scenario. Liquid biopsy has emerged as a promising area of cancer investigation, offering a minimally invasive approach to track circulating biomarkers in body fluids that could potentially contribute to the diagnosis, predict prognosis, and monitor response to treatment. This review will discuss translational studies describing the clinical applications of liquid biopsy in HPV-negative and HPV-positive HNSCCs focused on circulating nucleic acids [cell-free DNA (cfDNA) and cell-free RNA (cfRNA)], circulating tumor cells (CTCs), and extracellular vesicles (EVs), which can be found in plasma, serum, and saliva.