Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Classroom Teachers' Knowledge on Technological Pedagogical Field

SUMMARY The object of this research is to determine the knowledge of the teachers about the technological pedagogical field. Mixed research method is used in the study. Quantitative data were collected with the "Technological Pedagogical Content Knowledge Scale" developed by Schmidt et al. (2009) and adapted to Turkish by Öztürk and Horzum (2011). Qualitative data, on the other hand, were collected using a semi-structured interview technique. The scale was applied to 581 participants using easily accessible situation sampling method. Semi-structured interview form was applied to 18 remaining participants. Considering the Technological Pedagogical Content Knowledge (TPACK) levels of classroom teachers, the results of the study show that teachers are observed to have the level of “I agree completely” in the Pedagogical Knowledge sub-scale, and the level of “I agree” on the other sub-scales. In the study, teachers stated that they used technology in their lessons. The teachers emphasized that they add technological media such as educational sites and Web 2.0 tools to their lessons for the purposes of attracting attention, learning by fun, evaluation and concretion. It was observed that teachers used technology in many lessons, especially in Turkish and mathematics.
Computational Efficient Model for Human Ventricular Epicardial Cells

We developed a new phenomenological model for ventricular epicardial cells. The proposed model is based on the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and consists of only three state variables. Furthermore, our model includes a simplification parameter $r_{\gamma}$ which allows increasing time and space integration by a factor equal to $r_{\gamma}$. Our three-variable model can reproduce the main tissue-level characteristics of epicardial cells, such as action potential amplitudes and shapes, upstroke velocities, and action potential duration and conduction velocity restitution curves. Except for a reduced upstroke velocity, the simplification included in the model does not significantly affect action potential characteristics and restitution properties. In a 2D sheet, integral characteristics of reentry dynamics, such as dominant period, are only slightly influenced by the simplification. However, the trajectory of the spiral tip changes for different values of $r_{\gamma}$.
PRODUCTIVE PERFORMANCE OF GROWING NEW ZEALAND RABBITS FED JATROPHA CURCAS SEED MEAL

A total number of forty eight New Zealand White (NZW) rabbits 4 weeks of age and 683 + 28 g average live body weight were allotted at random to three similar experimental groups (of 16 rabbits each). Each group of rabbits was fed one of three experimental pelleted diets (16% crude protein and 13% crude fiber on average). The feeding trail extended for 9 weeks. The aim of the study was to investigate the effects of partial substitution (50 or 100%) of soybean meal of control diet with different levels of jatropha seed meal (JCSM) as the sources for plant protein. on growth performance, nutrients digestibility, feed conversion ratio and economic efficiency. Results indicated that, there was no differences in the feed intake of rabbits that received diets containing JCSM and those received the control diet. Replacement of JCSM in rabbit diets significantly (P<0.05) improved the DM digestibility of diets containing 50 and 100% JCSM by 6.1 and 7.7% compared with control diet. No significant differences among the experimental groups regarding DCP and TDN. The average live body weight and body weight gain after 9 weeks showed no significant differences. The average daily gain followed the same pattern of total gain with average value of 26.89, 27.56 and 25.71g/d. Rabbits fed control diet had feed conversion ratio of 3.00 while those fed 50 and 100% JCSM had feed conversion ratio of 3.33 and 3.28, respectively. Nitrogen balance was positive in all rabbits fed experimental diets. Economic impact values of rabbits fed diets contained JCSM at marketing age (13 weeks) were higher than those of the control diet. It could be concluded that substitution of jatropha seed meal up to 50 or 100% of soybean meal in the diet of growing NZW rabbit diets improved the digestibility, daily weight gain, feed and economic impact, without any adverse effects on productive performance.
Comparison of the effects of two approaches to teaching conditionals with block-based programming in an online environment.

To date, while many educators and researchers have greatly argued for the importance of teaching computational thinking skills, there is a lack of research on an effective approach to CT education. This study aims to examine the effectiveness of two different approaches when teaching computational concepts with block-based programming language in an online environment. The study conducted a quantitative research using a pretest-posttest randomized-group design. Participants in the study were be 101 undergraduate students enrolled in a computing and information technology online course. Two different teaching approaches (inductive vs. deductive) were delivered in an experimental web-based instruction during the spring semester of 2020. The knowledge test scores revealed that both groups were effective to increase the understanding of programming concepts. The inductive group outperformed the deductive group on the programming task of “repeat until”. Although the inductive group increased higher in the positive programming attitude than the deductive group, the change did not significantly differ between the groups. Lastly, the deductive instructional approach had a more positive attitude toward online instruction. Practical implication was further discussed.
BIOLOGICAL CONTROL OF THE CITRUS NEMATODE,TYLENCHULUSSEMIPENETRANS ATTACKING CITRUS SINENSISNAVAL ORANGE TREES

This work was conducted to study the biological control of citrus nematode Tylenchulus semipenetrans infesting citrus orchards at Menoufia University. The experiments were applied at the citrus experimental farm of the Faculty of Agriculture, Menoufia governorate on, Citrus sinensis (naval orange) and in the Biological Control Laboratory of Faculty of Agriculture, Menoufia University. Citrus trees naturally infested with citrus nematode Tylenchulus semipenetrans were chosen to conduct a biological control experiment by soil application of the mycorrhizal fungus; Glomus mosseae which was obtained from Cairo Mircen, Ain Shams University, Egypt, mychorrhiza inocula were introduced around the trees trunks (1×108 spores/ml) and was flattened with soil at the rate of 25 ml / tree. Also, the nematophagous fungus, Arthrobotrys conoides was obtained from Agricultural Botany Department, Faculty of Agriculture, Menoufia University. Spore suspension was adjusted to a concentration of 1×108 spores/ml distilled water at a rate of 50 ml/ tree. In addition, local bacterial strain of Azotobacter chroococcum, was obtained kindly from Pharmaceutical Department National Research Center, Giza, Egypt, the bacterial strain contained 107cell/ml and applied at the rate of 50 ml/ tree. TervigoTM is a suspension concentrate (SC) containing 20g/L abamectin with the addition of an iron chelate Fe-EDDHA 400g/L produced by Syngenta East Africa Ltd was applied at the rate of 25 ml per tree. The above materials were applied singly or in combinations, monthly soil samples were taken to laboratory where nematodes were extracted, identified and counted until the end of the experiments. The obtained results indicated that the nematophagous fungus, Arthrobotrys conoides treatment recorded the highest reduction percentages of citrus nematode as 66.5 % compared to other bioagents when singly applied. Application of the three bioagents when applied together (A. conoides, G. mosseae, A. chroococcum) recorded the highest reduction percentages against citrus nematode recording 84.5 %, compared to 82.7 % at the nematicide, Tervigo. The treatment of Mycorrhizal fungus, Glomus mosseae recorded the least reduction percentages of citrus nematode as 46.1 %. The treatment of the three bioagents when applied together recorded the highest increase in number of fruits per branch as 200 %, in addition the treatment caused 84.6 % increase in the weight of orange fruit, also, the treatment increased the fruit yield by 108.9 % compared to control trees.
Factors affecting the caregiver burden following traumatic brain injury

Traumatic brain injury (TBI) is one of the most common causes of death and disability with a wide spectrum of symptoms that range from mild to severe in children and adults (1). TBI can cause many medical, physical, cognitive, behavioral, emotional, social, and economic difficulties. It has a profound effect on the lives of patients and their families (2). Thus, continuity of patient care is of great importance for the patient, the patient’s family, and the health care system during both the acute and chronic periods of patients with TBI.
Compliance with Anti–Hypertension Regimen: Prevalence, Predictors and Health Belief Model, Their Effect on Managing Hypertension in Mansoura. A Hospital-Based Study.

Background: Hypertension (HTN) is an important health problem with great complications that can be prevented through proper management which depends mainly on patient compliance. Method: A cross-sectional study was conducted on attendants of the outpatient's clinic of Mansoura International Hospital (MIH) for HTN management during the period from January 2014 to June 2015. Results: The study included 350 patients; 170 (48.6%) of them were compliant with the medication regimen and 141 (59.7%) compliant to lifestyle modification. Compliance to medication regimen was mainly affected by gender, residence, work status and educational level, internal factors (personal factors), health care provider and cues to action. While gender, the perception of a barrier to compliance and internal factors (personal factors) were the predictors' for compliance to lifestyle modification. A proved relationship between compliance with medical regimen and lowering blood pressure level of the participants and also their BMI was detected. Conclusion: as compliance with medical regimen affect managing hypertension; so measures to increase patient's awareness about nature of HTN and its complication providing them with clear and direct messages. Continuous follow-up for the non-compliant patients to improve their behavior, involve them in the drug choice or decisions about treatment strategies. Incorporate family members to ensure medication compliance.
Phytochemical, antioxidant and anticholinesterase profiles of Musanga cecropioïdes R. Br. (Urticaceae) from Côte d'Ivoire

This study is devoted to Musanga cecropioides (Urticaceae), a tropical plant whose leaves and root bark are used in traditional medicine in the treatment of various pathologies. The objective of this work was to study qualitative and quantitative composition of phenolic compounds in extracts of the leaves (McF) and root bark (McR) Musanga cecropioides and to evaluate their antioxidant and anticholinesterase properties. Phytochemical screening using TLC showed that the extracts contain, along with phenolic compounds such as coumarins, flavonoids and tannins, other bioactive phytocompounds namely sterols, terpenes and alkaloids. Quantitative analysis of phenolic phytoconstituents by spectrophotometry showed that contents of total flavonoids and polyphenols in leaves (7.753% and 119.389 mg EAG / g, respectively) are higher than those in the root bark (1.41% and 105.944 mg EAG / g, respectively). The antioxidant activity of total and selective extracts evaluated by FRAP and DPPH methods was found to be significant compared to vitamin C. All the extracts of Musanga cecropioides showed good anticholinesterase activity with percentages of inhibition of the acetylcholinesterase (AChE) ranging from 51.952 to 63.589%.
Can foods produced with new plant engineering techniques succeed in the marketplace? A case study of apples

New Plant Engineering Techniques (NPETs) have path-breaking potential to improve foods by strengthening their production, increasing resistance to biotic and abiotic stresses, and by bettering their appearance and nutritional quality. Can NPETs-based foods succeed in the marketplace? Providing answers to this question, we first develop a simple economic model for R&D investment in food innovations based on NPETs and traditional hybridization methods, to identify which technology emerges under various parameter characterizations and associated economic welfare outcomes. The framework combines the cost of food innovation with consumers’ willingness to pay (WTP) for the new food, highlighting the uncertain and costly nature of R&D processes as well as the role of consumer acceptance of technology, and the cost of ignorance, and regret, if consumers are not fully informed on the technology used to generate the new food. We then apply the framework to a case of NPETs-based new apples using recently elicited WTP of French and US consumers. Our simulation results suggest that NPETs may be socially beneficial under full information, and when the probability of success under NPETs is significantly higher than under traditional hybridization. Otherwise, the innovation based on traditional hybridization is socially optimal. A probable collapse of conventional apples raises the social desirability of new apples generated by NPETs and traditional hybridization.
Production of amylases by some aspergillus and fusarium species isolated from waste corncobs in Keffi, Nigeria

Amylases are important industrial enzymes that have wide applications ranging from conversion of starch to sugar syrups, to the production of cyclodextrins for the pharmaceutical industry. This investigation aimed at production of amylases using Aspergillus and Fusarium species isolated from waste-corncobs in Keffi Nigeria. Standard microbiological methods were employed for isolation and identification of the fungal isolates. The yields of amylases produced by fungi isolates were determined using Spectrometry. The isolation rate of Aspergillus and Fusarium species was high in location A, C and D with 60% and location B with 40%. The percentage occurrence of the isolates demonstrated that Aspergillus carneus was 40%, Aspergillus aculeatus was 60% and Aspergillus flavus was 20% while Fusarium moniliforme was 80% and Fusarium redolens was 40%. The result demonstrated that three species of the fungal isolates Aspergillus aculeatus, Aspergillus carneus and Fusarium moniliforme were found to produce amylases. Aspergillus aculeatus isolated from locations C3, D1 and D2 produced 0.018mg/ml, 0.018mg/ml and 0.016mg/ml amylases respectively. Similarly, Aspergillus carneus isolated from locations A1 and B2 produced 0.021mg/ml and 0.012mg/ml amylases. Fusarium moniliforme isolated from locations A3, C1 and C4 produced 0.010mg/ml, 0.016mg/ml and 0.015mg/ml amylases. Result of effect of (temperature, pH and fermentation time) for production of amylases. Whereas highest amount for amylases produced by Aspergillus aculeatus and F monliforme were produced at 28 OC. pH 5.0 was found to the best optima pH for production of amylases from the fungi studied A. carneus (2.99 mg/ml amylases). The fermentation time showed highest production of amylase by A. carneus and A. aculeatus after 72 hours while F. moniliforme produced at 96hours. The fungi species isolated from soil in keffi can be used for production of amylases.
Corporate governance and firms financial performance amongst private business enterprises in Uganda, a perspective from Lira City

The study examined the effect of corporate governance on firm’s financial performance amongst private business enterprises in Uganda. The study used descriptive and survey design. A mixed method approach which involved both qualitative and quantitative techniques were also used. The study found out that corporate governance significantly influences the financial performance of hotels and manufacturing firms in Lira City and majority of the firms investigated performed on average financially. It was also established that firms whose boards demonstrate high integrity were likely to register positive changes in their financial performance than firms whose boards do not. The study also noted that board independence would propel the firm to grow to greater heights. The study recommends that hotel and manufacturing firm owners should exercise some discipline and leave boards to operate independently. This would allow the board to remain focused on the long-term goals of the firm. The hotel and manufacturing firm owners should be cautious in selecting board members lest they attract many that would increase the firm’s liabilities. Key words: Corporate governance, board diversity, board integrity, firm performance, financial performance.
Determinants of Poverty in Java Island 2015-2020: Unemployment, HDI, Education or Economics Growth?

A process of improvement towards a better direction in order to realize the goals of the community in an area is called development. To improve the general welfare of the people of Indonesia, it is called National Development. Poverty alleviation is the first priority in development. Java in 2015-2020 is the goal of this research. Using secondary data sourced from BPS. The data analysis method uses Panel data regression with FEM and performs t test, F test and coefficient of determination (R 2 ). significant to poverty in Java in 2015-2020. Unemployment (Open Unemployment Rate) is negative and insignificant to poverty in Java in 2015-2020. Human Development Index (HDI) is negative but significant to poverty in Java in 2015-2020. Literacy Rate has an insignificant negative value to poverty in Java in 2015-2020. While economic growth (GRDP) is negative but significant to poverty in Java Island in 2015-2020.
Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection

We have developed the XGBoost model to identify 27 heart pathologies within the challenge Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/ Computing in Cardiology Challenge 2021. The technical part included several stages. At the first stage, the ECG was cut off to 10 seconds. At the second stage, resampling to frequencies 125 and 500 Hz was carried out and filtering in the 0.5-45 Hz bands. At the third stage, the features of HRV and symbolic dynamics were extracted from the signal with a sampling rate of 125 Hz. The melspectrograms were calculated based on a signal with a sampling frequency of 500 Hz. Then the features calculated for each lead were concatenated to obtain the final vector of features. We were faced with the task of constructing 27 independent binary classifiers, each of which defines a certain pathology. The fourth important step was to build balanced datasets for the algorithm. For the robustness of the models, the control groups for each contained almost all pathologies presented in the databases, except target disease. Our team Sunset scored 0.22, 0.21, 0.22, 0.21, 0.20 for the 12-lead, 6-lead, 4-lead, 3-lead, and 2-lead models, respectively, ranking 32 out of 39 teams for the first four lead combinations and 31 out of 39 teams for the last.
A REVIEW AND EMPIRICAL COMPARISON OF UNIVARIATE OUTLIER DETECTION METHODS

Many real-world phenomena generate data sets with outliers i.e., extreme observations that are away from the mainstream of the data. The presence of outliers may cause invalid analysis by violating the conventional assumptions of regression models. Hence identification of outliers holds significant importance in data analysis. This study reviews various outlier labeling methods and shows the comparative detection of outliers by applying these methods on several real data sets with small to large sample sizes and low to high levels of skewness. Some graphical and formal methods of univariate outlier detection are also applied. All labeling methods detected no outlier for symmetric shape except adjusted boxplot. For slightly skewed distribution, Z-score, 3SD method, and 3IQR found resistance for both small and large sample sizes except adjusted boxplot which is resistant in large data only. In the case of mildly skewed and large sample size, the 2Median Absolute Deviation method shown up most sensitive. It is concluded that the Adjusted boxplot, Z-score, 3SD method, and Tukey’s 3IQR (interquartile range) method detected fewer outliers among other competing methods. Boxplot and a formal Generalized ESD test identified outlying observations as well as most extreme observations.
Running Head: IMPLICIT BIAS IN BEHAVIOR 1 The Relationship of Implicit Social Cognition and Discriminatory Behavior

When viewing the state of the world today, social and behavioral scientists face a puzzling inconsistency: how can it be that evidence of discrimination persists in all significant aspects of life, from housing and jobs to healthcare and law enforcement, even though individuals and institutions adamantly stand for equality in treatment? Over the past two decades, research has demonstrated that at least part of the answer to this puzzle can be attributed to the implicit nature of biases – attitudes, beliefs, and identities that are less conscious and controllable but that nevertheless exist and shape behavior. Indeed, today, we take it as given that evidence is strong and substantial for the presence of implicit bias in the minds and behaviors of individuals. This chapter, however, reviews an emerging body of research that uses massive, aggregated data across millions of tests of implicit attitudes and beliefs to understand outcomes of socially significant systemic behaviors ranging from the police use of lethal force to infant healthcare to school suspensions and discipline. Methodologically, the studies quantify social and psychological processes in the real world and introduce data of unprecedented scope across geography and time. Theoretically, this melding of psychological evidence about implicit bias aggregated across millions of individuals alongside large-scale socially significant behaviors underscores a new and more robust meaning of the term systemic discrimination: the results show the various ways that implicit bias both shapes and is shaped by broad structural systems and outcomes.
Tactile Object Recognition for Humanoid Robots Using New Designed Piezoresistive Tactile Sensor and DCNN

A tactile sensor array is a crucial component for applying physical sensors to a humanoid robot. This work focused on developing a palm-size tactile sensor array (56.0 mm × 56.0 mm) to apply object recognition for the humanoid robot hand. This sensor was based on a PCB technology operating with the piezoresistive principle. A conductive polymer composites sheet was used as a sensing element and the matrix array of this sensor was 16 × 16 pixels. The sensitivity of this sensor was evaluated and the sensor was installed on the robot hand. The tactile images, with resolution enhancement using bicubic interpolation obtained from 20 classes, were used to train and test 19 different DCNNs. InceptionResNetV2 provided superior performance with 91.82% accuracy. However, using the multimodal learning method that included InceptionResNetV2 and XceptionNet, the highest recognition rate of 92.73% was achieved. Moreover, this recognition rate improved when the object exploration was applied to demonstrate.