Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF GRAZING TIME ON DIGESTION AND ENERGY UTILIZATION OF GOAT DURING LACTATION PERIOD IN HALAIB-SHALATEEN PASTURES

Thirty lactating Balady goats were employed in a 90-day experiment to study the effect of grazing time on pasture intake, digestion, energy expenditure (EE) and energy balance (EB) throughout early and late lactation periods in Halaib - Shalateen pastures. To achieve this objective, female goats were divided into three treatments, 10 per each; the first treatment (T1) was in-door without grazing and given 1% of live body weight (LBW) concentrates feed mixture (CFM) plus berseem hay ad libitum. The second (T2) and third (T3) treatments were allowed to graze daily on Panicum turgidum as a basal range plant for 4, 8 hours, respectively and given 1% of LBW CFM. The results could be summarized as follows: The forage intake (g/ kg BW0.75) by goats was significantly (P≤0.01) higher in early lactation than that in late lactation period. Goats that grazed for 8 hours daily showed higher (P≤0.01) forage intake than those grazed for 4 hours daily, while, goats fed on berseem hay ad libitum without grazing had higher (P≤0.01) value of roughage intake compared to the two grazed groups whether in the early or late lactation period. Similar findings were observed for nutrients intakes (OM, CP and NDF). Grazed goats for 4 hr and 8 hr had higher (P≤0.01) values of DM, OM, CP, CF, NDF and digested energy (DE) than these in zero-grazing group whether in the early lactation or in the late lactation period. Goats grazed for 8 hr daily had higher (P≤0.01) values of digestible and metabolizable energy intake than those in 4 hr and zero-grazing groups whether in the early or late lactation periods. Grazed goats for 4 hr and 8 hr had higher (P≤0.01) values of heart rate (HR) and energy expenditure (EE) than that in zero-grazing group. The energy balance (EB), when expressed as kJ/kg BW0.75/day, was positive and greater (P≤0.01) for zero-grazing goats than those in grazed groups. Also, 8 hr-grazing group had greater (P≤0.01) value of EB than that 4 hr-grazing group, but it was negative for the two groups. It could be concluded that, under arid-area condition, in Halaib – Shalateen pastures, grazing of goats for 8 hours daily showed better nutritional performance represented by an increase in the pasture intake, digestion, reduction energy expenditure (EE) and therefore, energy balance (EB) was better than that grazing for 4 hours during early and late lactation periods.
CURRENT PRACTICE & CHALLENGE OF REVISED TELEVISION PROGRAM INSTRUCTION

The objective of this study was to assess the current status of the newly revised television program instruction (TVPI) and highlight the attitudes of teachers and factors affecting its practical implementation in Arbaminch town secondary and preparatory School Gamo zone Ethiopia. To accomplish the objective, the study employed a descriptive-survey research design. There were 24 teachers who took part in the survey, which account 20% of total sample frame, using simple random sampling techniques (Lottery system). While, the nonprobability sampling, i.e. purposive sampling technique was used to select both the town and Schools. The study used a self-structured questionnaire (for quantitative) and a semi-structured guide questions (for qualitative) to collect the necessary data regarding the issue. The analysis of the quantitative data was carried out by using percentages, triangulated with the data with interview. The study found out that, the strengths of the newly revised television program are highly supported by the teachers and school administration to perform their roles while shortage of new television programs are extremely affecting television program instruction among many factors in the study area. From the results of the finding, it is possible to conclude that, implementation of television program instruction for instruction in the study area is moderate. Thus, based on the findings of the study, it is recommended that, the concerned body need to provide material and technical support to both teachers and principals in order to improve status of PTVP implementation in the study area.
Retinal Vessel Extraction Using Dynamic Threshold and Enhancement Image Filter From Retina Fundus

Retinal blood vessels in every human being are important elements of various shapes and sizes, and retinal blood vessels can also determine various types of diseases. Therefore, retinal blood vessel extraction from the retinal fundus image is a key step in the process of recognizing the shape and size of disease patterns in the retina so that it can determine diseases of different types, but the feasibility of retinal blood vessel patterns is important for subsequent processes such as detection, identification, and classification. The previous method that focused on retinal vessel extraction has its own characteristics, especially in the pre-processing, extraction, and post-processing stages. However, there were still many characteristics in previous studies that made it insufficient to meet the needs of ophthalmologists, especially in the segmentation stage, many retinal vessels disappeared at the ends and became thicker, even assuming noise became a retinal blood vessel. Therefore, we conducted an experiment to develop retinal blood vessel segmentation in the medical world using Retina Fundus Dynamic Threshold and Image Enhancement Filter. By using the latest approach in the preprocess namely Butterworth Bandpass Filter as Enhancement Image Filter and the latest segmentation using Dynamic Threshold with a small time value for implementation with low device specification. In this paper we use the databases of DRIVE and STARE. So the proposed method for achieving the average measurement parameters from the DRIVE database is 94.77 percent accuracy and the STARE database is 87.68 percent accuracy.
A Survey on Intermediate Data Management for Big Data and Internet of Things

The field internet of things and Big Data has become a necessity in our everyday lives due to the broadening of its technology and the exponential increase in devices, services, and applications that drive different types of data. This survey shows the study of Internet of Things (IoT), Big Data, data management, and intermediate data. The survey discusses intermediate data on Big Data and Internet of Things (IoT) and how it is managed. Internet of Things (IoT) is an essential concept of a new technology generation. It is a vision that allows the embedded devices or sensors to be interconnected over the Internet. The future Internet of Things (IoT) will be greatly presented by the massive quantity of heterogeneous networked embedded devices that generate intensively "Big data". Referring to the term intermediate data as the information that is provoked as output data along the process. However, this data is temporary and is erased as soon as you run a model or a sample tool. Also, the existence of intermediate data in both of the Internet of Things (IoT) and Big Data are explained. Here, various aspects of the internet of things, Big Data, intermediate data and data management will be reviewed. Moreover, the schemes for managing this data and its framework are discussed.
Language Preferences and Attrition in Bilingual Persons with Dementia

Introduction: Dementia is one of the neurodegenerative disorders which generally affect elderly causing progressive deteriorations of all the acquired skills such as language, cognition, personality etc. This disease can show differential impairment in bilingual individuals as compared to monolinguals since the accessibility and use of verbal communication varies in them. The difficulty varies with respect to use of number of languages and the proficiency in these languages. There is a need to study the effect of each language in the linguistic competence in such individuals. Aim of the study: Present study aimed at assessing the effectiveness of use of two languages by bilingual (Kannada/English) elderly people with dementia using Bilingual Aphasia Test (BAT). Method: The study consisted of 20 participants, 10 persons with mild dementia (PWD) and 10 healthy elderly (HE). Included for the study were two test protocols for assessing cognitive linguistic skills in elderly population. Assessment of the effectiveness in linguistic levels and skills in two languages (Kannada and English) was performed using Part C (Bilingual portion) of Bilingual Aphasia Test (BAT by Paradis & Rangamani, 1989). Results & Discussion: Paired sample t test was administered for HE to check the effect of language on all the tasks in BAT. Independent sample t test was administered between the groups to compare the linguistic measures including WR (Word Recognition), WT (Word Translation), ST (Sentence Translation), GJ (Grammaticality Judgment), and GJC (Grammaticality Judgment Correction). There was significant group effect in the performances. Few parameters clearly differentiated the group and few did not. Conclusion: To conclude, in bilingual persons with dementia, regression to a primary language may be associated with development of cognitive impairment. Participants with dementia failed to differentiate that they were using two distinct languages at several conditions strongly indicating the retreating of bilingual competence into monlingualism.
Preparation and characterization of nano-hydroxyapatite and its competitive adsorption kinetics of copper and lead ions in water

In this work, microemulsion and hydrothermal methods were combined to synthesize hydroxyapatite nanomaterials. Competitive adsorption kinetics of aqueous Pb2+ and Cu2+ on nano-hydroxyapatite surfaces were investigated by performing adsorption kinetic experiments. Results showed that the adsorption quantity of Pb2+ on nano-hydroxyapatite was higher than that of Cu2+ in the single system. However, the competitive adsorption of Pb2+ and Cu2+ occurred in the coexistence system of Pb2+ and Cu2+. The adsorption quantity of Cu2+ on nano-hydroxyapatite increased, whereas that of Pb2+ decreased. The adsorption quantities of Pb2+ and Cu2+ on nano-hydroxyapatite presented a marked linear relationship with Ca2+ release from nano-hydroxyapatite (R 2 0.861 to 0.954). The adsorption kinetics were fitted with the first-order, second-order, parabola, Elovich, double-constant, and Lennard–Jones function equations. Among these equations, the second-order equation and power function kinetics fitted the results optimally. Overall, the results indicate that the adsorption kinetics of Pb2+ and Cu2+ on nano-hydroxyapatite represent complex adsorption processes with both chemical reaction and physical adsorption.
Remembered or forgotten stimuli: a functional magnetic resonance imaging study on the effects of emotion

Correspondence: Erol Ozcelik, Cankaya University, Faculty of Arts and Sciences, Department of Psychology, Ankara Turkey E-mail: ozcelik@cankaya.edu. tr Received: March 20, 2020; Revised: July 14, 2020; Accepted: September 28, 2020 ABSTRACT Objective: The first aim of this study is to examine why emotional events enhance memory for preceding stimuli. The second goal is to identify brain regions associated with remembering and forgetting by finding brain activation differences during encoding of remembered and forgotten stimuli. The third goal is to examine which brain areas are activated when studying emotional pictures compared to neutral ones. Method: In each trial, a picture of an object followed by an emotional or neutral picture from the Turkish culture were presented to 15 volunteers. The effect of the succeeding pictures on the remembering of preceding stimuli was examined. The participants studied the stimuli in the magnetic resonance scanner and, meanwhile, brain images were taken. The memory performances of the participants were measured with the recognition test administered one week later. Results: Behavioral results suggest that emotion has no effect on memory for preceding stimuli. Functional magnetic resonance imaging results indicate that remembered stimuli compared to forgotten ones caused more activation in left inferior frontal gyrus and left superior medial gyrus. Emotional pictures create more activation in the mid-temporal gyrus and supramarginal gyrus compared to neutral images. Conclusion: Brain structures in which activations are observed in remembered stimuli compared to forgotten ones (left inferior frontal gyrus and left superior medial gyrus) are responsible for the semantic elaboration and associative memory formation. Thus, it can be concluded that object pictures are remembered because they are processed more deeply. Besides, activations are observed in the areas known to be related to the processing of emotional face expressions when emotional and neutral pictures are compared.
Physical activity can change the physiological and psychological circumstances during COVID-19 pandemic: A narrative review

Coronavirus is one of the greatest human threats [1]. In the last few months, the increase in cases and deaths due to COVID-19 in the world and the imposition of more social restrictions in most countries have caused many physiological and psychological disorders [1,2]. Recorded data from smartwatches show that the level of physical activity worldwide during the COVID-19 pandemic decreased between 8% to 48% [3]. The elderly, obese, and sedentary individuals with a body mass index (BMI) of more than 25 kg/m2 have been reported to be among the most vulnerable Abstract
The Competitiveness of Marketing in the SME of the Commercial and Services Sector In Latin America: Comparative Mexico-Brazil-Colombia

This is an empirical research studio, conclusive-quantitative approach of a transversal and non-experimental, based on a survey with three samples integrated by Micro and Small Enterprises (MSE) of Celaya (Guanajuato) in Mexico, of Piracicaba (São Paulo) in Brazil and of Bogota in Colombia. Each sample was for convenience of 14 companies for each country. The objective was identify the differences in the value of the Technology marketing knowledge to through the tacit and explicit transfer of knowledge and the conversion of knowledge for market competitiveness. It was found that the MSE of three countries, almost always share the same characteristics, the most outstanding from the empirical management and without sector expertise to be competitive from a marketing perspective, since the lack of of strategic plans or programs in this discipline, makes them disappear or have problems in their marketing and positioning processes.
SPECIALIZATION OF HANDBALL PLAYERS: SPEECHES OF SCHOOL TEAM COACHES Especialización de jugadores de balonmano: opinión de los entrenadores de equipos escolares Especialização de jogadores de handebol: opinião de treinadores escolares

The aim of this study was to identify and discuss the recommended ages for the specialization of handball players, through the opinions of coaches who work in the U-14 and U-17 school teams. Ten coaches were interviewed from a city of the state of São Paulo, and the speeches were analyzed based on the Collective Subject Discourse (CSD). It was possible to identify a preference to specialize goalkeepers to the U-16 team and court players in the U-18 team. The results make it possible to understand the sports training process and to plan the long-term specialization in handball.
The impact of Spotify features on music discovery in the streaming platform age

Music discovery and music consumption, in general, have changed significantly in the age of digitization. Physical record stores were replaced by online music streaming platforms. This evolution changed the music industry for both consumers and artists. The music industry shifted to a subscription-based business model, offering access to immense music libraries for a monthly fee. Spotify, as the biggest music streaming service, has had a large role in this shift. The music streaming giant incorporated techniques to guide users through their enormous music catalog by offering music recommendations. Research suggests that Spotify has caused an increase in quantity and diversity of music consumption. This thesis studies the role of the different Spotify music discovery features on the perceived impact of Spotify on music discovery among students. This research applies a cross-sectional research design with an online questionnaire that was filled out by 152 respondents. Students that actively use Spotify to consume music were sampled from the population. The data was analyzed by applying the statistical analyses; Pearson’s correlations, One sample T-test, and multivariate OLS-regression analyses. Two separate models were tested in the regression analyses measuring the relationship between the different Spotify music discovery features and the dependent variables measuring the perceived impact of Spotify on music discovery, and Spotify perceived as the most useful music discovery tool. The results of model 1 indicate that there is a significant positive relationship between the Spotify music discovery features discover weekly, and recommendations based on previous listening behavior and the dependent variable PSEMD. While the results of model 2 indicate that there is a significant positive relationship between the music discovery features discover weekly, recommendations based on previous listening behavior, popular playlists and the search bar, and the dependent variable PMUMDT. These results suggest that these Spotify music discovery features effect the perceived impact of Spotify on music discovery among students. With the music discovery feature, recommendations based on previous listening behavior having the strongest effect on the perceived impact of Spotify on music discovery.
Coordinated active and reactive power management of microgrids in ride-through modes base on improved droop controls

This paper presents a coordinated active and reactive power management of Microgrid with hierarchical control scheme. Microgrid is divided into clusters as the load requirement of power quality and reliability, i.e., multi-cluster architecture. Each cluster is managed individually by a cluster controller in coordination with local controllers of DG units. A hierarchical control scheme is employed with three levels including droop controls, load frequency controls and reserves. An improved droop control is introduced considering the comparability of resistance and inductance of the low-voltage network, the inter-relation of voltage and active power, as well as frequency and reactive power are taken into accounts. The proposed control scheme is applied to a case study in which a two-cluster Microgrid with three DG units is experiencing the ride-through mode after disconnecting from the main grid. The result of simulation shows the effectiveness of the proposed method.
An Optimized Methodology to Observe Internal Microstructures of Aloe vera by Cryo-Scanning Electron Microscope

Aloe vera has been used in the pharmaceutical, food and cosmetic industry for its therapeutic properties. However, there are not many current studies on the microstructure of A. vera compared to studies on the chemical constituents and health efficacy of A. vera. Therefore, we compared the morphology of an A. vera leaf using an optical microscope, a conventional scanning electron microscope (SEM) and a cryo-SEM. Especially, this study focused on observing the gel in the inner leaf of A. vera, which is challenging using standard imaging techniques. We found that cryo-SEM is most suitable method for the observation of highly hydrated biomaterials such as A. vera without removing moisture in samples. In addition, we found the optimal analytical conditions of cryo-SEM. The sublimation conditions of and 10 minutes possibly enable the surface of the inner leaf of A. vera to be observed in their "near life-like" state with retaining moisture. The experiment was repeated with A. arborescens and A. saponaria to confirm the feasibility of the conditions. The results of this study can be applied towards the basic research of aloe and further extend previous knowledge about the surface structures of the various succulent plants.
A Method of Mining Visualization Rules from Open Online Text for Situation Aware Business Chart Recommendation

the adequacy of the rules generated by the proposed method, experiments were conducted on experimental and control groups. The results confirmed that meaningful rules were extracted by the proposed method. To the best of our knowledge, this is the first study to recommend customizing business charts through open unstructured data analysis and to propose a method that enables efficient selection of business charts for office workers without expert assistance. This method should be useful for staff training by recommending business charts based on the document that he/she is working on.
Social exclusion: exploring the educational dimension in Argentina

Social exclusion is a complex, multidimensional process which points to the persistence of a variety of deprivations in key dimensions of life, education among them. Working within this context, this paper studies determinants of exclusion in the educational dimension, specifically from its original degree (access), and seeks to evaluate whether they vary in relation to the socioeconomic conditions of the target population. To do this, logistic regression models were calculated using data from Argentina’s Permanent Household Survey (PHS), in addition to information obtained from our own survey, performed in April of 2016 in three vulnerable communities of Bahía Blanca, Argentina.
Relationship between Logistics Performance, Economic Growth and Financial Development in G-7 and E-7 Countries

Logistics refers to the processes such as transportation, storage, customs clearance, packaging, distribution of a product from the first manufacturer to the end consumer. The logistics sector, whose importance is increasing day by day with globalization, plays an important role in the development of countries. Especially today, the increasing international trade activities between countries have increased the importance of the logistics sector. The logistics sector also plays an important role in the developing industry and the transportation of raw materials required for this (iron, steel, petroleum, etc.). The aim of this study is to analyze the relationship between logistics performance, economic growth and financial development econometric for E-7 countries and G-7 countries for the period 2007-2018. For this purpose, a total of four models related to E-7 countries and G-7 countries were established, and the long-term relationship and long-term coefficients were examined in the models. According to the findings; It is determined that there is no long term relationship between financial development and logistics performance index for E-7 countries. In G-7 countries, due to the high financial depth, it has been determined that there is a long-term relationship between financial development and logistics performance, but the long-term relationship coefficient is statistically insignificant. It has been determined that there is a long term relationship between economic growth and logistics performance for both G-7 countries and E-7 countries. However, the long-term relationship coefficient for E-7 countries was statistically insignificant, whereas the logistics performance index positively affected economic growth in G-7 countries. In this context, it should be kept in mind that from a policy perspective, investment in logistics infrastructure will be the most beneficial investment that can have high returns for future economic growth and financial growth in countries. Therefore, it is essential for the economic growth and financial development that policy makers give due importance to the issue of logistics and develop the necessary policies.