Miracle-dz/UniFAR-FTUs huggingface dataset:
Is Boyer’s Scholarship Reconsidered Still Relevant: A Case study of a College-Wide Professional Learning Community

As universities attempt to integrate academic research into meaningful real-world application, faculty are encouraged to improve, understand, and collaborate on instruction and scholarship. Boyer’s writings on the topic in Scholarship Reconsidered: Priorities of the Professoriate attempted to engage faculty in this pursuit. One College of Education explored Boyer’s model through faculty participation in a Professional Learning Community (PLC). Using a qualitative case study including a review of documents and faculty focus groups, the researchers studied how faculty were able to infuse components of Boyer’s Scholarship Reconsidered in their work. Findings pointed to enhanced understanding of Boyer’s writings by faculty, but did not result in increased incorporation of his ideas into practice during the PLC. The researchers concluded that improvements in the leadership, design, and application of the PLC could facilitate faculty participation in a PLC and could result in increased engagement and application of Boyer’s writings in their work. Keywords: Boyer’s Scholarship Reconsidered, professional learning communities, higher education
Electromagnetic Wave Guidance Mechanisms in Photonic Crystal Fibers

We present the utilization finite element method as implemented in COMSOL Multiphysics for understanding three different types of wave guidance mechanisms in photonic crystal fibers (PCFs), like modified total internal reflection, Bragg's reflection and resonant trapping of defect mode at Dirac frequency. Effective refractive indices of the core and cladding are calculated using mode analysis study to verify total internal reflection in a solid core PCF. The photonic band structure (PBS) of the cladding is calculated using eigen frequency study to identify photonic band gap region which constitute the transmission window of a hollow core PCF. The eigen frequency of the Dirac point is identified from the PBS. Trapping of Dirac mode is obtained by optimizing the defect radius in such a way that the defect state resonate at the Dirac frequency. This study is important for designing and investigating the performance of various PCF based devices for advanced applications.
Efficiency of oviposition traps with biolarvicides for monitoring Aedes aegypti and Aedes albopictus (Diptera, Culicidae), northeast Brazil

This study verified the efficiency of ovitraps combined with Saccharopolyspora spinosa and Bacillus thuringiensis israelensis for monitoring Aedes aegypti and Aedes albopictus in laboratory and field conditions. In the laboratory, for A. aegypti, there was no difference in eggs number between treatments and grass infusions. For A. albopictus, the average of eggs was higher in the grass infusion. In the dry season, there was no difference in the average of eggs between treatments and control. In the rainy season, grass infusion resulted in a higher egg density, in both areas. Ovitraps combined with biolarvicides are efficient in dengue vector monitoring.
Do Software Reliability Prediction Models Meet Industrial Perceptions?

Reliability is one of the key characteristics inherent in the concept "software quality". Understanding software reliability has been vital for both the software managers and software engineers, especially while developing critical systems. In the past several decades, an extensive body of knowledge has been developed and to a certain extent practical knowledge has been gathered by applying them to large scale mission- or safety-critical projects. However, software reliability models are falling short of gaining confidence in industrial community. From the software developer's perspective, software reliability has been primarily associated with defects, which represent a major cost factor in software development. This is called developer oriented approach. As software orientation has become ubiquitous, and software intensive systems have been proliferating, software quality assurance has been embracing more customer oriented perspectives. In this context, we will need richer, realistic and more accurate measures for software reliability. A recent empirical study by the authors highlighted many factors, which the practitioners perceived to be influential in the context of reliability prediction. This paper focuses on different reliability prediction models proposed in the literature, specifically examining whether the influential factors perceived to be contributing to the reliability are addressed or not in these models. We evaluated the assumptions made in each of the considered reliability models and checked their applicability in software product development. This paper concludes with a comparative presentation of a large set of well-known reliability models with respect to the set of factors identified by the industry as influential in software reliability.
Ultra Low Leakage Memory

Three 64-byte memory systems were designed for a 0. 18μm standard CMOS technology, one 6TSRAM system and two D-Flip-Flop systems. The leakage current, read energy and write energy of these systems were determined by simulation. A set of extrapolation formulas for area, leakage current, read energy and write energy were designed to determine the characteristics of the systems as the size of the memory increases. The simulations showed that the 64-Byte 6T-SRAM system had a 39% lower area, an 83% lower leakage current, an 89% lower write energy and an 82% lower read energy than the reference D-FlipFlop memory system. The extrapolation formulas predicted that as memory sizes increases, SRAM becomes more and more favorable in terms of area, leakage current, write energy and read energy.
Effect of Aloe vera gel on the healing of cutaneous wounds in donkeys

The efficiency of fresh Aloe vera gel was tested on the healing of large cutaneous wounds of the forelimbs in donkeys. Twelve adult donkeys from both sexes were used in this experimental study. They were divided into equal groups. A square shape cutaneous wound about 8*8cm, was induced on the lateral aspect of the forelimb exactly between humeral and knee joint. In group one, the induced wound was left without treatment, while in second group the wound was treated by local application of fresh Aloe vera gel. The evaluation of healing process results was based on monitoring the gross signs of wound healing, in addition to the study the histopathological changes at 15 th , 30 th , 45 th postoperative days. In group one, the wound healing process was characterized by infection, congestion, inflammatory exudate, excessive granulation tissue formation, and no decrease in wound size, while in group two, the healing of wound was characterized by absence of granulation tissue overgrowth with decrease in wound size and little occurrence of infection and congestion. The histopathological observations in first group was showed intensive granulation tissue formation with massive infiltration of mononuclear inflammatory cells and delay of reepithelization, while in second group, overgrowth of granulation tissue was lesser, little infiltration of mononuclear inflammatory cells, rapid reepithelization with more maturation and stretching of collagen fibers. It was concluded that the Aloe vera gel can be used successfully as topical treatment to improve and enhance large cutaneous wound healing in donkeys .
Incidence of Peri-Implantitis and Relationship with Different Conditions: A Retrospective Study

Articles on the prevalence of peri-implant diseases showed that 90% of peri-implant tissues had some form of inflammatory response and a prevalence of peri-implantitis from 28% to 51% according to various publications. Objective: To provide an overview of how risk factors can be related with peri-implantitis. Methods: A retrospective longitudinal study including 555 implants placed in 132 patients was evaluated based on the presence of peri-implantitis following the criteria of Renvert et al. 2018. Results: In total, 21 patients (15.9%) suffered peri-implantitis (PPG) and 111 patients (84.1%) did not suffer peri-implantitis (NPG). The results reveal that smokers have a high incidence of peri-implantitis (72.7%) compared to non-smokers (27.3%) (p < 0.0005). Another variable with significant results (p < 0.01) was periodontitis: 50% PPG and 23.9% NPG suffered advanced periodontitis. Systemic diseases such as arterial hypertension, diabetes mellitus, osteoporosis, and cardiovascular diseases do not show a statistically significant influence on the incidence of peri-implantitis. Patients who did not attend their maintenance therapy appointment had an incidence of peri-implantitis of 61.4%, compared to 27.3% in those who attend (p < 0.0001). From the results obtained, we can conclude that relevant factors affect peri-implantitis, such as tobacco habits, moderate and severe periodontitis, and attendance in maintenance therapy.
Croatian First Football League: Prediction of teams' ranking in the championship

Goal of our research was to use simulation modelling for prediction of Croatian Football League seasonal ranking. We have developed a model of number of goals scored by a team in a match based on Poisson distribution. Parameters of the model were estimated from the data on the first part of the season. Final rankings were predicted from 1000 simulation runs of the second part of the season based on the model. For each team the most frequent outcome of the simulation defined the team's rank. The method was validated on Season 2014/15. Prediction was correct for the first five teams. Final ratings in Croatian Football League, Season 2015/16 were predicted from data on the first 21 rounds. This is a feasible method for dynamic prediction of final rankings during the season. Advantage of the method is that in addition to predicting the final ranking it also estimates probabilities of alternative positions.
Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks

Emotions play an essential role in human relationships, and many real-time applications rely on interpreting the speaker's emotion from their words. Speech emotion recognition (SER) modules aid human-computer interface (HCI) applications, but they are challenging to implement because of the lack of balanced data for training and clarity about which features are sufficient for categorization. This research discusses the impact of the classification approach, identifying the most appropriate combination of features and data augmentation on speech emotion detection accuracy. Selection of the correct combination of handcrafted features with the classifier plays an integral part in reducing computation complexity. The suggested classification model, a 1D convolutional neural network (1D CNN), outperforms traditional machine learning approaches in classification. Unlike most earlier studies, which examined emotions primarily through a single language lens, our analysis looks at numerous language data sets. With the most discriminating features and data augmentation, our technique achieves 97.09%, 96.44%, and 83.33% accuracy for the BAVED, ANAD, and SAVEE data sets, respectively.
Influencing Elimination Location in the Domestic Cat: A Semiochemical Approach

Simple Summary In the domestic cat, elimination at an inappropriate location is considered by cat owners and non-cat owners as an undesirable behaviour. The aim of the study was to assess the effects of a composition derived from cat anal glands on the elimination behaviour of domestic cats in a cattery setting. The study was conducted in four catteries housing 33 cats, using 37 litter trays. The data collection lasted two weeks, each litter tray receiving one treatment on the first week and the other treatment on the second week. The parameters studied included daily elimination (urine plus stools) weight, urine weight, stool weight, elimination type and urine/stool quantity scoring. Four out of the six parameters studied showed a treatment effect, consistently in favour of cats defecating significantly less in the litter trays sprayed with the treatment versus litter trays sprayed with the control. These results demonstrate that a composition originating from cat anal glands influences cats’ defecation location. Abstract In the domestic cat, elimination at an inappropriate location is considered by cat owners and non-cat owners as an undesirable behaviour. The aim of the study was to assess the effect of a semiochemical formulation, reconstituted volatile fraction of cat anal gland secretions on the elimination behaviour of domestic cats. The study was conducted in four catteries, which housed 33 cats, using 37 litter trays and followed a randomised crossover design using the litter tray as the experimental unit. The parameters studied included daily elimination (urine plus stools) weight, urine weight, stool weight, elimination type and urine/stool quantity scoring. The parameters were analysed using GLMM with SAS 9.4 software. Four out of the six parameters studied showed a treatment effect, consistently in favour of cats defecating significantly less in the litter trays sprayed with the treatment versus litter trays sprayed with the control (elimination weight p = 0.0199; elimination type p = 0.0251; stool weight p = 0.0005 and stool quantity p = 0.003). These results demonstrate that an intraspecific semiochemical message originating from cat anal glands influences cats’ defecation location.
Financial Inclusion, Poverty, and Income Inequality: Evidence from High, Middle, and Low-income Countries

The past two decades have witnessed a high national importance to financial inclusion around the world. This paper intends to explore the impact of financial inclusion on poverty reduction and income inequality in the world, high, middle, and low-income countries. For this purpose, a new composite financial inclusion was constructed with three dimensions for finding various macroeconomic variables affecting the level of financial inclusion for 122 economies, including 32 from high-income, 38 from upper middle income, 38 from lower middle income, and 14 from low-income countries. Then the impact of financial inclusion, on poverty and income inequality, for the world and then for high, middle, and low-income countries was investigated. The estimates reveal that rule of law significantly affects financial inclusion for the world, high, middle, and low-income countries. But age dependency ratio influences the financial inclusion only for our full sample. However, population density significantly decreases financial inclusion just in the full sample and Upper middle-income countries. Education completion impacts significantly financial inclusion just in upper middle income. While literacy has a higher impact on financial inclusion in high-income countries. The findings also indicate that financial inclusion is significantly correlated with lower poverty for the full sample. The link between financial inclusion and income inequality has been found for high-income countries and lower-middle-income countries.
Mechanism of the Treatment of Irritable Bowel Syndrome with Sini Powder and Tong Xie Yao Fang Decoction Based on Network Pharmacology

This study used a network pharmacology approach to investigate the potential active ingredients of Sini Powder and Tong xie yao fang decoction and the underlying mechanisms in irritable bowel syndrome (IBS) treatment. The potential active ingredients of Sini Powder and Tong xie yao fang decoction were obtained from TCMSP databases, and the potential targets of the active ingredients were predicted and analyzed by using the Swiss Target Prediction database. T Genecard, DisGeNET, and OMIM databases were processed to screen the potential therapeutic targets in IBS. The interaction of overlapped candidates between the potential biotarget of herb extracts and the potential therapeutic target of IBS were analyzed by STRING website and visualized by the Cytoscape V3.8. 0 software. Gene ontology (GO) analysis and Kyoto Genomics and Genomics Encyclopedia (KEGG) pathway were processed to categorize and map the potential biofunctions and effects of these candidates by using David database. Result. There were 139 predicted active components and 248 related biotargets of Sini Powder and Tong xie yao fang decoction which were involved in IBS treatment, and 522 annotations and 101 related pathways are obtained by enrichment analysis (P < 0.01, FDR < 0.05). The underlying mechanisms of Sini Powder and Tong xie yao fang decoction may be related to neuroactive ligand-receptor interaction, calcium, cAMP, and HIF-1 signaling pathways. In conclusion, our results showed that the effect and mechanism of Sini Powder and Tong xie yao fang decoction in IBS treatment were in multi-ingredient, multitargets and multipathways, which would provide several potential and promising strategies for the further research and development of Sini Powder and Tong xie yao fang decoction on IBS treatment.
A light-weight deep video network: towards robust assessment of ejection fraction on mobile devices

Echocardiography (echo) is one of the widely used imaging techniques to evaluate cardiac function. Left ventricular ejection fraction (EF) is a commonly assessed echocardiographic measurement to study systolic function and is a primary index of cardiac contractility. EF indicates the percentage of blood volume ejected from the left ventricle in a cardiac cycle. Several deep learning (DL) works have contributed to the automatic measurements of EF in echo via LV segmentation and visual assessment,1-8 but still the design of a lightweight and robust video-based model for EF estimation in portable mobile environments remains a challenge. To overcome this limitation, here we propose a modified Tiny Video Network (TVN) with sampling-free uncertainty estimation for video-based EF measurement in echo. Our key contribution is to achieve comparable accuracy with the contemporary state-of-the-art video-based model, Echonet-Dynamic approach1 while having a small model size. Moreover, we consider the aleatoric uncertainty in our network to model the inherent noise and ambiguity of EF labels in echo data to improve prediction robustness. The proposed network is suitable for real-time video-based EF estimation compatible with portable mobile devices. For experiments, we use the publically available Echonet-Dynamic dataset1 with 10,030 four-chamber echo videos and their corresponding EF labels. The experiments show the advantages of the proposed method in performance and robustness.
Radiation Analysis of LEO Mission in the South Atlantic Anomaly During Geomagnetic Storm

We have studied the radiation environment of LEO spacecraft when passing through the South Atlantic Anomaly (SAA) during the geomagnetic storm event of 15 May 2005. The 70–180 MeV proton flux information were numerically obtained from a simulation model of the inner radiation belt. The radiation analysis was consisted of two parts: the estimation of the Single Event Upset (SEU) rates and the absorbed radiation doses. One of the characteristics of the SAA at 800 km altitude during the recovery phase of the geomagnetic storm was the enhancement of its southern proton flux cell. It was found that the excess SEU rates and absorbed radiation doses could reach at least 200% and 70% respectively during the recovery phase in comparison to the initial phase of the geomagnetic storm. The estimated radiation results were in a good agreement with observations.
Prediction of Cumulative Death Cases in Nigeria Due to COVID-19 Using Mathematical Models

In this paper, we present various growth models such as Von Bertalanffy, Baranyi-Roberts, Morgan-Mercer-Flodin (MMF), modified Richards, modified Gompertz, modified Logistics and Huang in fitting and evaluating the COVID-19 epidemic pattern as of 15 July 2020 in the form of the total number of SARS-CoV-2 deaths in Nigeria. The MMF model was found to be the best model having the highest adjusted R2 value and lowest RMSE value. The values for the Accuracy and Bias Factors were near unity (1.0). The parameters derived from the MMF model include maximum growth rate (log) of 0.02 (95% CI from 0.02 to 0.03), curve constant (d) that affects the infection point of 1.61 (95% CI from 1.42 to 1.79) and maximal total number of death cases (Ymax) of 1,717 (95% CI from 1,428 to 2,123). The model estimated that the total number of death cases for Nigeria on the coming 15th of August and 15th of September 2020 were 940 (95% CI of 847 to 1,043) and 1,101 (95% CI of 968 to 1,252), respectively. The predictive ability of the model employed in this study is a powerful tool for epidemiologist to monitor and assess the severity of COVID-19 in Nigeria in months to come. However, like any other model, these values need to be taken with caution because of the COVID-19 uncertainty situation locally and globally.
Impact of High-Pressure Homogenization on the Cell Integrity of Tetradesmus obliquus and Seed Germination

Microalgae have almost unlimited applications due to their versatility and robustness to grow in different environmental conditions, their biodiversity and variety of valuable bioactive compounds. Wastewater can be used as a low-cost and readily available medium for microalgae, while the latter removes the pollutants to produce clean water. Nevertheless, since the most valuable metabolites are mainly located inside the microalga cell, their release implies rupturing the cell wall. In this study, Tetradesmus obliquus grown in 5% piggery effluent was disrupted using high-pressure homogenization (HPH). Effects of HPH pressure (100, 300, and 600 bar) and cycles (1, 2 and 3) were tested on the membrane integrity and evaluated using flow cytometry and microscopy. In addition, wheat seed germination trials were carried out using the biomass at different conditions. Increased HPH pressure or number of cycles led to more cell disruption (75% at 600 bar and 3 cycles). However, the highest increase in wheat germination and growth (40–45%) was observed at the lowest pressure (100 bar), where only 46% of the microalga cells were permeabilised, but not disrupted. Non-treated T. obliquus cultures also revealed an enhancing effect on root and shoot length (up to 40%). The filtrate of the initial culture also promoted shoot development compared to water (21%), reinforcing the full use of all the process fractions. Thus, piggery wastewater can be used to produce microalgae biomass, and mild HPH conditions can promote cell permeabilization to release sufficient amounts of bioactive compounds with the ability to enhance plant germination and growth, converting an economic and environmental concern into environmentally sustainable applications.