Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal Variations and its Impacts on Livestock Production Systems with a Special Reference to Dairy Animals: An Appraisal

Article history Received: 30 November 2020 Accepted: 14 December 2020 Published Online: 30 December 2020 Seasonal climatic variations is one of the most important environmental issues at present, the devastating impact of which is visualized on the ecology, ecosystem, and species survival. The livestock sector, which has been the source of animal protein for ever-increasing human masses, is subjected to the increased environmental temperature and higher frequency of extreme events. The impact of a high degree of heat stress is found to have a direct bearing on the milk production, growth, feed intake, reproductive efficiency, and disease incidence of the animals. The environmental temperature above the thermo-neutral zone of the animals has not only been adversely affecting the productivity and survival in the intensive livestock production systems, but the impact is equally seen in the extensive systems. Besides reduced milk production and change in composition, the impact of heat stress on dairy animals, in general, can be seen from the reduction of sperm quantity and quality in case of male and a marked decline in fertility and embryo quality in the case of females. The paper analyses varied aspects of climate change impacts on production, productivity, reproduction, and health of livestock, with a special focus on dairy animals.
Clinical and Pathological Characteristics of Patients with High-Risk Breast Cancer Based on BRCA Mutation Profiles: A Retrospective Study.

Objective This study aimed to determine the differences in clinicopathological features of Turkish patients with high-risk breast cancer based on the mutation status of two breast cancer susceptibility genes (BRCA1/2) . Materials and Methods This study enrolled patients with invasive breast cancer who have been evaluated for BRCA1/2 mutations due to the presence of high-risk factors admitted to two tertiary referral centers in Turkey. Clinical and histopathological features were analyzed in BRCA1 mutation carriers, BRCA2 mutation carriers, and non-carriers. Results A total of 302 patients with a mean age of 44.2±9.9 (22-82) years were included. BRCA1/2 mutation was found in 75 (24%) patients, of whom 41 (13.6%) were BRCA1 mutation carriers and 37 (12.3%) were BRCA2 mutation carriers. Moreover, 104 (34.4%) and 4 (1.3%) patients had family history of breast and ovarian carcinoma, respectively. The rates of triple negativity (56.1%), histologic grade 3 (65.9%), and lymphovascular invasion (78%) were significantly higher in BRCA1 mutation carriers than in non-carriers and BRCA2 mutation carriers. Furthermore, 87% of triple-negative BRCA1 mutation carriers had histologic grade 3 tumors compared with 38.9% in non-triple-negative BRCA1 mutation carriers, and the difference was significant. Conclusion Findings of this study showed that BRCA1-related breast cancers represent a distinct group with unique pathological features, which are usually associated with a poor prognosis.
A Prospective Randomized Comparative Study between the Effect of Silodosin and Tamsulosin on Expulsion of Lower Third Ureteric Stones

Objectives: To compare the efficacy of silodosin (8 mg) vs tamsulosin (0.4 mg), as a medical expulsive therapy (MET), in the management of distal ureteric Calculi (DUC) in terms of stone clearance rate and stone expulsion time. Patients and Methods: A prospective randomised study was conducted on 130 patients, aged more than 18 years, who had unilateral DUS less than 1 cm. Patients were divided into two groups. Group A received silodosin (8 mg) and Group B received tamsulosin (0.4 mg) daily for 1 month. The patients were followed-up by urine analysis & serum creatinine. Kidney ureter bladder x-ray (KUB) (for detection of the stone size and site), Pelvi-abdominal ultrasound (U/S) (for diagnosis & monitoring of the degree of hydronephrosis), Non contrast spiral CT abdomen & pelvis (NCCT): for detection of site, size and density of the stone and detection of degree of hydronephrosis. Results: There was a significantly higher stone clearance rate of 88.3% in Group A vs 68.3% in Group B. Group also showed a significant advantage for stone expulsion time but as regard analgesic use no significant difference between both groups. Original Research Article El Sharaby et al.; AJRRU, 4(1): 20-29, 2021; Article no.AJRRU. 64970 21 No severe complications were recorded during the treatment period. An ejaculation was recorded in 8 and 1 patients in Groups A and B, respectively. However, complication as headache hypotension are more common in group B, 4: 13 in group A and group B respectively. Conclusion: Our data showed that silodosin is more effective than tamsulosin in the management of DUC for stone clearance rates and stone expulsion times. A multicenter study on larger scale is needed to confirm the efficacy and safety of silodosin.
Bioactivity of Whey Peptides

Numerous studies on whey protein have proven its nutritional and physiological functions. Upon enzymatic hydrolysis, preferable to other means of hydrolysis like fermentation or physico-chemical methods, beneficial bioactive peptides are generated. The use of whey protein in diverse sectors of the food manufacturing industry does not stifle the production of its novel multiple products such as whey peptides, reported to confer multifarious biological activities based on wide ranges of research and indepth investigations. The present review considers an overview of whey peptide production, and their popularly reported bioactivities. Some precautions to be taken amongst other recommendations were
The Role of the Inhibition of Natural Number Based Reasoning and Strategy Switch Cost in a Fraction Comparison Task

Previous research amply showed the importance of a good fraction understanding but also people’s lack of fraction understanding. It is therefore important to investigate the cognitive processes that underlie reasoning with fractions. The present study investigated the role of inhibition and switch costs in fraction comparison tasks. Participants solved a fraction comparison task that alternated between 4 items congruent and 4 items incongruent with natural number reasoning. This allowed to not only investigate congruency switch effects, but also inhibition, given that inhibition was experimentally increased by the prolonged exposure to incongruent trials. Based on data of seventh graders, the present study showed that inhibition does not only play a role in learners’ general mathematics achievement, but also in specific areas of mathematics, such as fractions. Moreover, a switch cost was found in the lower accuracy rates and higher reaction times needed to correctly solve switch items compared to non-switch items.
Effect of Fatigue on Biomechanical Variable Changes in Overhead Badminton Jump Smash

Background. The badminton forehand overhead jump smash is one of the high speed and powerful motions among various racket sports. Objectives. The purpose of this study is to analyze the effect of fatigue on the kinematic variable movement changes during overhead jump smash in badminton. Methods. This study is descriptive quantitative research with the pre-test and post-test design methods used to obtain data from 15 male badminton players, aged 19.4±1.6 years, height 1.73 ± 0.12 m, and weight 60.8 ± 3.7 kg. The study used three high-resolution handy-cams, motion software Frame DIAZ IV, and 14 point manual markers to analyze body segments’ movement when carrying out a jump smash. Furthermore, an ergo treadmill was used to test the players’ level by running. Results. The results showed that the shuttlecock velocity was faster during pre-fatigue (188 km/h) than under the condition (145 km/h). A significant difference showed in the angle of shoulder internal rotation (p=0.048) and wrist palmar flexion (p=0.037) at the instant of maximal shoulder external rotation phase. Furthermore, there were significant differences in the shoulder’s internal angular velocity (p=0.042), elbow extension (p=0.035), forearm supination (p=0.024), and wrist Dorsi dorsiflexion.040). Conclusion. In conclusion, fatigue reduces players’ performances during jumping smash in badminton, thereby leading to slower shuttlecock speed and changes in body segment movements.
Numerical FEM Models of Bio-heat Transfer for Magnetic Fluid Hyperthermia Treatments

Numerical solutions using the Finite Element Method (FEM) of healthy one-dimensional bio-heat transfer and cancerous tissue together with the Magnetic Fluid Hyperthermia treatment have been worked out successfully. The bioheat transfer equation was created by modifying the Pennes equation by adding the physiological parameters in each layer. Each layer shows the characteristics of tissue. Each layer represents an independent biological tissue characterized by temperature-dependent physiological parameters and linear temperaturedependent metabolic heat generation. Magnetic fluid hyperthermia (MFH) is used as an external heat source to heat the cancerous area. The magnetic field strength used is 6.5 kA and the frequency of 500kHz in MFH can heat cancer tissue without affecting healthy tissue. In a transient state MFH treatments can heat up cancerous tissue without damaging healthy tissue as indicated by an increase in the temperature of the cancer tissue according to the standard temperature of the MFH treatments.
The Impact of Inflation Targeting on Direct Taxes in Selected Countries: A Propensity Score Matching (PSM) Approach

nflation targeting is one of the operational frameworks for monetary policy aimed at achieving price stability. Compared to alternative strategies specifically money supply or exchange rate targeting, which seek to achieve low and sustained inflation through targeting intermediate variables such as the growth rate of money aggregates or exchange rate as a monetary anchor the inflation targeting directly involves target inflation. Inflation targeting
AUTOMATIC HINDI TEXT SUMMARIZATION USING SELECTION AND ELIMINATION APPROACH

— In recent years, the shoot up of web information has required to make intensive research in the ﬁeld of automatic text summarization which is the part of the Natural Language Processing (NLP). This paper concentrates on different algorithms for text summarization of Hindi documents and to check which methods among them, are given the best summary. This paper has used selection and elimination based approach in order to make a summarizer for Hindi text documents. To make ﬁnal summary several features are taken into account, including sentence resemblance to the ﬁrst 100 and last 100 words and ﬁnd sentence frequency on the basis of the word frequency, and sentence similarity by using Dice Coefﬁcient and cluster the summary obtained by both methods and the Jaccard’s Coefﬁcient of dissimilarity is used to remove the sentences which are highly dissimilar in the summary. The results of the proposed algorithm are compared over different algorithms used for text summarization using Hindi corpus posted by IIT Bombay to identify which approach contains the most important points of the original text.
A Survey of Refactoring Impact on Code Quality

— Code refactoring is an important procedure for improving the code quality; it is used to improve the internal structure without changing the external behavior of software. It is achieved through various techniques e.g., extract methods, move methods, rename methods, and classes in code. The main goal is how code refactoring can be used to improve the quality. Moreover, this study investigates the impact of code refactoring on software internal and external quality attributes. As the previous studies focus on the selected groups of either internal or external quality attributes, the elected refactoring techniques can be used to measure the impact on code quality enhancement. According to the previous studies illustrated in this survey, we demonstrate both internal and external quality attributes that have positive or negative influences on the improvement of code quality. This paper shows the internal quality attributes, which have a positive improvement after refactoring operations such as complexity, inheritance, coupling, and cohesion except size. In addition, the external quality attributes having improvement on code quality are maintainability, reusability, understandability, and efficiency, except for performance has a negative effect.
Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick

Data access between onand off-chip memories account for a large fraction of overall energy consumption during inference with deep learning networks. On-chip memory compression can greatly reduce this energy cost as long as it balances the simplicity and low cost of the compression/decompression implementation and its effectiveness in data size reduction. We present Boveda, a simple and effective on-chip lossless memory compression technique for fixed-point precision networks. It reduces data widths by exploiting the value distribution deep learning applications naturally exhibit. Boveda can increase the effective on-chip capacity, reduce off-chip traffic, and/or achieve a desired performance/energy target while using smaller on-chip memories. Boveda can be placed after any memory block in the on-chip memory hierarchy and can work with any data-parallel processing units such as the vector-like or the tensorcore units of modern graphics processors (Durant et al., 2017; Jia et al., 2018), systolic arrays such as that used in the Tensor Processing Unit (Jouppi et al., 2017), and units that process sparse tensors such as those used in the SCNN accelerator (Parashar et al., 2017). To demonstrate the potential of Boveda, we implement it over (i) SCNN, a state-of-the-art accelerator for sparse networks, (ii) a Tensorcore-like architecture, and (iii) TPU. Boveda reduces memory footprint by 34% for SCNN and sparse models on top of zero compression. For dense models, Boveda improves compression by 47%. We also present a prototype FPGA implementation.
Smart Factory: A Primer

A smart factory is a highly digitized and connected production facility that relies on smart manufacturing. It can integrate data from system-wide physical, operational, and human assets to drive manufacturing, maintenance, and inventory tracking. This results in a more efficient, agile, responsive, proactive, and predictive system. This paper provides a brief introduction to smart factory.
CONDITIONS AND SOURCES OF LABOR REPRODUCTION IN GLOBAL SUPPLY CHAINS: THE CASE OF UKRAINIAN GARMENT SECTOR

Problems of labor (power) reproduction in global garment supply chains are broadly reviewed in related research. However, little or no attention has been payed to these issues in post-Soviet countries in general and in Ukraine in particular. Using Marxist and Marxist feminist approaches to labor reproduction and based on semi-structured interviews with Ukrainian factory workers, this article analyzes production-related conditions of their labor reproduction and additional sources of material resources and time necessary for it. It reveals that Ukrainian garment workers, who produce for Western brands, often have poor conditions of labor reproduction due to immanent features of global supply chains' operation, as well as due to poor law enforcement, management's arbitrariness and company unionism. For many of the interviewed workers, these conditions of labor reproduction result in consumption austerity and the problem of gender-related high load of reproductive labor which often have to be managed at the expense of rest, recreation and social life. Additional sources of labor reproduction that workers can attain outside the production process have a further negative impact through time and health-related pressure on their quality of life, further financial insecurity, additional pressure and control by employers. These results problematize socio-economic outcomes of inclusion into global supply chains as international brands transfer a part of the labor reproduction load on the local state and workers. The article reveals that broadening our focus, from the production process to a number of activities beyond production, can contribute to the Marxist approach to labor reproduction and its sources.
A Retrospective Descriptive Study of Adverse Drug Reaction Monitoring in Tertiary Care Hospital

Ab s t r Ac t Introduction: An adverse drug reaction (ADR) is any undesirable effect of a drug to the patient beyond its anticipated therapeutic effects while used clinically. Aims and objective: To analyze the incidence of ADRs in a tertiary care hospital reported from April 2015 till December 2017. Materials and methods: Two hundred ADR forms were included in the study and analyzed. These were codified into various drug classes according to anatomical therapeutic chemical (ATC) classification based on WHO–ATC Index 2019 besides categorized into preventable or not modified Schumock and Thornton scale. Severity was assessed based on a scale by Hartwig et al. Also, the ADRs were classified based on MedDRA 13.01 to system organ class (SOC) and preferred terms (PT) falling under respective SOC. Results: Maximum ADRs were reported by dermatology. Most commonly, it involved gastrointestinal system (GIT) followed by skin. Antibiotics and anti-cancer drugs caused maximum ADRs. About two-thirds were classifiable as moderate to severe, whereas about one-third were preventable. About 10% of cases were such that left deep impact of sequelae or were not recovered and one case was fatal. Conclusion: Extreme vigilance by clinicians is of utmost crucial virtue in detecting, diagnosing, and reporting such ADR for continued drug safety monitoring.
DO INTERNATIONAL GOLD PRICES AND NSE NIFTY 50 MOVE TOGETHER?

With gold’s persistence performance over erratic periods since the catastrophic event of global financial crisis in 2008, attention is focussed on gold to substitute stock market investments in the times of crisis. Exploring such causal nexus between NSE NIFTY 50 index and Gold prices in Indiapost 2008 crisis is the main focus of the present research. The daily data of International Bloom berg Gold prices and NSE NIFTY 50 Index series has been used over the time period of November 13, 2008 to January 24, 2020. By applying unit root and Toda-Yamamoto granger causality test, study primarily shows stationarity of the variables at different order. The study evidenced the significant bidirectional short-run causal relationship in between NSE NIFTY 50 prices and International Gold prices. Hence, International Gold prices hold significant information which can be used to predict NSE NIFTY 50 returns and vice-versa. The results of present study can be used by Indian stock market policymakers to implement new structural restructuring to augment efficiency of Indian equity sector. Present study is limited in scope to account for gold’s nexus with only stock market index which in future can be furthered by establishing association with other commodity markets, mutual funds, exchange rate, derivative, etc.
Prevalence of nomophobia and its impact among medical students at an institution in Andhra Pradesh during COVID: an online study

Background: Nomophobia the fear of being out of mobile phone contact, which refers to the discomfort, anxiety, stress, nervousness and anguish caused by being out of mobile phone connect. Aim of the to focus on impact of COVID lockdown on students’ developmental lifestyles and to assess the student’s prediction towards development of nomophobia. The current study also aims to compare addictive internet/smartphone related behaviours, time spent on internet usage other than education and impact on sleep quality, academic performance before and during the coronavirus pandemic.Methods: A cross sectional study was conducted at Narayana medical college for a period of 4 months from May 2020 to August 2020. A predesigned, validated questionnaire was developed (google survey form) and answers were collected from 600 students and interns in total by sending the questionnaire by email to all the participants. The responses were analyzed by SPSS, version 22.0. Test results with p value less than 0.05 only were considered statistically significant.Results: In our study, prevalence of nomophobia was more in females (58.96%) than males (42.06%). Gaming was the most common cause of mobile phone usage (79.67%). Poor sleep quality and mobile phone dependence were highest in interns (85.33% and 68%). Variables tested in relation with academic performance were having statistically significant association with nomophobe score of 24.Conclusions: Publicizing the negative consequences, creating awareness and health education during admission to medical graduates will definitely provide a ray of hope of opt utilization of mobile phone and decrease the chances of mobile addiction.
CARACTERIZACIÓN DE ESPECIES ARBÓREAS ASOCIADAS AL CULTIVO DE CAFÉ (Coffea arabica L.) EN EL SUR DE COLOMBIA

Characterization of tree species associated with the cultivation of coffee (Coffea Arabica L.) in south of Colombia. Ing. Agrónomo, Grupo de Investigación en Producción de Frutales Andinos, Universidad de Nariño, Pasto – Nariño. E-mail: libeydelgado@hotmail.com Ing. Agrónomo, Ph.D Suelos. Profesor Asociado. Facultad Ciencias Agrícolas, Programa Ingeniería Agroforestal. Universidad de Nariño. E-mail: jornavia@yahoo.com Ing. Agrónomo, Ph.D. Profesor Titular. Universidad de Nariño. Pasto Nariño, Colombia. E-mail: tclago3@yahoo.com 1 Wilmer Libey Delgado Gualmatan 3* Tulio Cesar Lagos Burbano 2 Jorge Fernando Navia Estrada Este artículo puede compartirse bajo la Licencia Creative Commons (CC BY 4.0). *Autor para correspondencia: tclagos3@gmail.com the investigation indicates the importance of the vegetation surveys as an opening up alternative for the knowledge of the main species in order to associate with the coffee system and generate sustainable services and a better coffee. The work was carried out in the municipalities of Sandoná, Consacá and The Florida, located in the coffee ecotope 221A, in the department of Nariño. The information was collected through a random survey with an open answer. Due to the data analysis it was found that 93, 97 and 99% of the coffee farms with species of trees for the provision of shade for Sandoná, Consacá and The Florida respectively, presented one or more associated tree species. Regarding the relative index of abundance for Sandoná, Consacá and The Florida, it was found that the species with the highest percentage were guamo, with 14.5, 17 and 18% respectively; the orange tree, with 12.3, 13 and 14% respectively; Cómo citar Delgado Gualmatan, W. L. , Navia Estrada, J. F. , & Lagos Burbano, T. C. (2020). Caracterización de especies arbóreas asociadas al cultivo de café (Coffea arabica L.) en el sur de Colombia. Revista Facultad de Ciencias Agropecuarias FAGROPEC. Universidad de la Amazonia. Vol. 12 (2), 210-219. https://doi.org/10.47847/fagropec.v12n2a4 Recibido 20 de julio de 2020 Aceptado 10 de noviembre 2020 Artículos de Investigación Científica y Tecnológica DOI: 10.47847/fagropec.v12n2a4 pp. 210 https://orcid.org/0000-0001-9222-4674 https://orcid.org/0000-0001-7349-0889 https://orcid.org/0000-0002-2441-2400 avocado, with 11, 10 and 10% respectively; and lemon, with 11.8, 13 and 16% respectively. The species richness, dominated by guamos, orange trees and lemons was presented by a high diversity of 0.91 for Sandoná, 0.9 for Consacá and 0.89 for The Florida. For the similarity index, values of 0.65 were presented between Sandoná and Consacá; likewise, between Sandoná and the Florida, the index was 0.57. Similarly, the index of 0.71 was presented for Consacá and The Florida. The farms presented the associated systems of a coffee production, highlighting guamo and citrus as the main species.