bluuebunny/crossref_metadata_2025 huggingface dataset:
Project Delivery of Goods With Limited Resources and Minimum Time Using Fuzzy Logic Method
Authors: Et al. Paryati
Published: May 2021

In solving the problem of fuzzy application for scheduling delivery of goods with a limited power source and minimal time, the problems that are still not considered in the RCPS problem modeling are the uncertainty characteristics of the parameters of the timing of activities in the delivery project. Even though this can be solved by using the PERT (Project Evaluation and Review Technoloque) method with a probabilistic approach, this technique still ignores the limitations of the supply of resources. Actually, a probabilistic approach can be used, if previously provided data about the experience in completing similar projects. But if the project is a new project or the techniques and methodologies used to complete a new project, such as new techniques and methodologies in software engineering, among others: object-oriented design and programming, computer-aided software design, user interface management systems, fourth generation languages, etc., then the probabilistic approach is not suitable.                   

In this situation, the decision maker must be able to estimate the cost and time duration, of all activities in the project based on existing experience, related to the level of knowledge they have, about new techniques and methodologies to be applied, and the level of human resource expertise. which are available.     This method of estimating project costs and time, which is more precise, uses representations in the form of fuzzy numbers, namely fuzzy sets in the set of real numbers that are normal, convex, and closed intervals. The delivery time is modeled as a fuzzy number of LR types IKiri, IKanan, α, β, with three values ​​of α-cuts E = 0.3, L = 0.7, and I = 1.0. The fuzzy transformation model is based on three pairs of inferior and superior values ​​from α-cuts. The priority for scheduling delivery of goods is based on the smallest early start time EST value. Resources are solved by serial and parallel models. The smallest makespan value is used to determine the best solution. Goods delivery settlement uses fuzzy operations, namely arithmetic operations and relation operations.                   

Analysis of the output oftware based on testing with test scenarios (table ^ .50) for some input data shows that the parallel method is better than the serial method. This is indicated by the large difference in makespan value generated from the two methods. Based on input data from a software development project, the serial method gives makespan values ​​in the range between 675.0 and 867.0, while the parallel method gives makespan values ​​in the range between 116.0 and 259.0. The analysis of the output software in a fuzzy Gantt Chart representation shows that an activity can be scheduled with varying degrees of optimism. The degree of optimistic activity scheduling can be graded in linguistic terminology between two extreme pessimistic and optimistic values, namely very pessimistic, pessimistic, slightly pessimistic, slightly optimistic, optimistic, very optomistic.
Application Based Production Management System In Textile Industries
Authors: Et al. Yoganathan. N. S
Published: May 2021

Presently, there is lack of proper management system to manage orders and analyze the daily reports which is prerequisite to acquire production management systems. This paper objectives to elucidate the production management system in small and medium sized Enterprises manufacturing apparent in India. SMES rely invariably on register and manual - data sheet based management which are detrimental in the management process. This proposed system provides a cost-effective solution to the above said problem through app-based platform, it reveals the production planning through reports of the data collected to analyze the daily production on various parameters involved in apparel production. This system provides a daily report to the authorized person (Owner/ Supervisor) to facilitate production management and solve issues pertaining to production output addressing various implements involved in the process.
Inter-Collateral Diabetic Retinopathy Extraction and Evaluation Using Trained Datasets of Multiple Feature Set
Authors: E. Logashanmugam K. T. Ilayarajaa,
Published: May 2021

Diabetic Retinopathy (DR) is caused due to un-mounted diabetic comorbidities. The patients suffer complete vision blindness if untreated or diagnosed on later stage. In this article, we propose a novel approach for early detection and prediction using trained datasets of multiple features. The process expansion is resultant of multiple stage attribute extraction via a series of inter-collateral parameters of diabetics. Typically, the proposed technique is designed and developed on a multi-value and multi-dimension datasets such as comorbidities history of patient encountered during diabetics. The proposed technique uses collateral attributes in evaluating retinopathy status and thereby validates the extracted DR under threshold value comparisons. The results are computed using HADOOP framework for recursive pattern and feature evaluation. The trial is processed on UCL digital library datasets with estimated performance of 98.7% with extraction and 92.34% with value True-Positive (TP) prediction.
Application of Clustering Filters in Order to Exclude Irrelevant Instances of the Process Before Using Reinforcement Learning to Optimize Business Processes in the Bank
Authors: Bugaenko Andrey A.
Published: May 2021

The research offers and describes the use of clustering filters in order to exclude preliminarily the instances of the process, which contain errors, and which are not related directly with the business process, and, accordingly, are irrelevant for the analysis. Comparison of 15 types of filters was performed using mapped-out data. It was shown that successful preliminary filtering is possible before the application of reinforcement learning for business process analysis, which reduces the data processing amount.
Public Investments to Development of Irrigation System and Main Enlightenment Issues of Climate Change Adaptation in Agriculture of Azerbaijan
Authors: Elsevar Guliyev, Ilkin Mammadov Fariz Ahmadov,
Published: May 2021

Climate change mitigation and adaptation strategy is one of the seventh goals of the Sustainable Development Goals committed by more than 190 leaders in 2015 year. Adaptation strategy in agriculture involves different options and actions by producers and public agencies seeking to maximize public good aspects of adaptation. Public investment to irrigation system of Azerbaijan is vital for country where only 1/3 of all agricultural lands are irrigated and arable. Besides this the water resources in Azerbaijan are very limited and country annually using the 70% of all renewable natural water recourses. Annual water shortage in Azerbaijan varies between 4.5-5 billion m3. The public financial capital should be invested to irrigation system of country as a part of national adaptation program. Public investments to climate change adaptation strategies should aim at maintaining, or even increasing, food production in key exporting developed and developing regions, or in regions key to regional food security.
The Role of Education in Raising the Efficiency of Human Resources use in Azerbaijan
Authors: Namazova Natavan
Published: May 2021

Azerbaijan is currently experiencing improvements in its economic development model. Today, the vast majority of economic reforms have been completed in our country. The article considers investigated adequate mechanisms and identified directions of the use of human resources in the country in socio-economic challenges of the modern era.

There were analyzed organizational and economic mechanisms of the search process of the reforms in education, raising the level of education, implementation of measures to form a modern vocational education system, the increasing investment which focuses on human development, adequate mechanisms of human capital development at the level of modern requirements.

As one of the most noticeable areas of the modern era, it is the qualitative improvement the use of human resources in working places and working conditions. The article also includes the assessment of such factors.
Design and Simulation of Improved Soft Computing Based MPPT for Solar PV System Under Variable Irradiance Condition
Authors: Dr. Ruchi Sharma Surendra Singh Dua,
Published: May 2021

Renewable energy sources are becoming more common in the energy generation field these days. Renewable energy sources such as photovoltaic (PV) systems, wind power (WP), and biomass are gaining popularity due to their ease of use, low cost, and low environmental impact. The environmental issues, declining fuel supplies, and increasing energy demands have drawn our attention to the glimmer of hope for a future focused entirely on sustainable and non-polluting energy sources. Photovoltaic (PV) power generation is becoming more common in comparison to other renewable energy sources due to advantages such as ease of access, low cost, low environmental emissions, and lower maintenance costs. In this dissertation, three separate Maximum power point monitoring techniques are used to construct a solar PV system (MPPT). Modeling and simulation using the MATLAB Simulink programmeare being used to check the effectiveness of the proposed scheme. The model is investigated using two partial shading patterns. By providing different values of input radiations to all four modules connected in sequence, we were able to create partial shading conditions using the PV array block. The panel's output is fed to the optimization technique block, which then feeds the boost converter from their duty cycle output. Under partial shading, the results show that the Particle Swarm Optimization algorithm outperforms the Perturb and Observe and Incremental Conductance algorithms..
Generation of Optimal Switching Angle for Nine Level Cascaded H Bridge MLI Using Most Valuable Player Algorithm
Authors: G Devadasu, Kumar C Vijaya Anand N, Hema Latha J,
Published: May 2021

Distributed generation (DG) sources often interfaced with grid by a Cascaded H-bridge multilevel inverter with a remote D.C source. The interface inverter has to adapt voltage on the either side of the grid and DG source while it has a control of active and reactive power exchange. The inverter terminal voltage is maintained based on frequency switching technique. However, in applications like micro grids are based on quality of output voltage at the point of common coupling. The present paper discusses an optimal frequency switching methodology that generates optimal fringing angle based on an evolutionary computing technique while maintaining the voltage level at PCC with a reduced harmonic distortion.  Efficacy of the proposed method is illustrated by simulating a 9-level cascaded H bridge in MATLAB environment.
Identification and Classification of Lung Nodules Using Neural Networks
Authors: Et al. Dr. S. Gnanavel
Published: May 2021

Lung cancer is a serious health concern, which is also one of the major types of cancer that has a profound impact on the overall cancer mortality rates. The detection of lung cancer nodules is quite a challenge as the major challenge is the structure of the cancer nodules; here the cells are imbricated with each other. The prediction and classification of lung cancer is done by applying digital image processing techniques to the acquired input images of the nodules. This methodology also aids early detection which in turns reduces the criticality of the condition and provides scope for early intervention and treatment. The prediction methodology involves extracting several features of the lung cancer cell and then applying pattern-based prediction techniques. In recent times, owing to the fact that the time and execution parameters are very important aspects to detect the abnormality of the fast-spreading cancer cells, digital image processing techniques are being widely deployed. The fundamental factors of this research are the quality of image assessment and the precision of feature extraction. Following our proposed methodology, a clear picture of the region of interest is obtained which acts as a basis for the feature extraction process. Here an overall evaluation of the digital image processing techniques used by previous scholars for the finding and classification of lung cancer nodules have also been emphasised.
Education and Vocational Training in Kosovo, A Challenge and Objective of the 21st Century
Authors: Krasniqi Ph.D. Safet
Published: May 2021

Classes in Kosovo are held in private and public educational institutions. Education in Kosovo went through very hard phases and challenges especially in the years 1990/1999 since differences and the need for change made us not entirely prepared. After the establishment of Kosovo Institutions, the Department of Education and Science (DES) was established within the Ministry of Education. The primary aim was to establish the legal and professional basis as a frontline of the reform of our education system, especially the acceptance of the Bologna processes that facilitate the radical reform of general and vocational education. This paper will address the aspects of reforming and progression of vocational secondary education, vocational schools, and correspondence to the needs of the EU market and the possibility of implementing in post-secondary and university higher education.
The Bizarre Inception Of Memories – An Outright Perlustration
Authors: Jesline Samuel Ancy Antony, Anjali J,
Published: May 2021

The inception of things around us are neither real nor unreal, rather it is the perception and the willingness of the mind to form what is the real and the unreal. Looking into the tremendous growth and headway that has transpired in the world there is much more importance given to reality and dream. One tries to reconnoiter the already touched and the untouched range of the profundity. Science and Technology has certainly not spared anything, therefore there is a coherent study going on which deals with human memories and its effects. Memories ever elate and bring levity to the majority but the idea of memory getting influenced by the circumstances and the outside phenomenal facets are bogus. A total foreign memory can be implanted or the existing memories can be filtered using various technologies. The crux of the movie “Inception” deals with this idea of implanting false memories in other people. The characters enter the sub-consciousness of the other people through their dreams and design a surreal environment where the action takes place. Throwing light into the new millennium, the movie “Inception” has it's the utmost upshot. The film caters a different way of looking into life as so abysmal and intense. Untold memories impinge upon the past and alters the present. The emphasis of the paper lies on the concept that every dream belong to a person and the idea of manipulating the content of someone else's memory.
Factors Influencing Teachers’ Performance in Junior High School
Authors: Hasbi Sjamsir Usfandi Haryaka,
Published: May 2021

The study aims to determine whether work motivation affects teacher performance, discipline influences teacher performance, and teacher interpersonal communication affects teacher performance. Also, this research explores the prominent factors that influence teacher performance. This research was conducted at Samarinda Middle School with a sample of 60 randomly selected teachers from six Junior High Schools in Samarinda. The data were collected using a questionnaire, followed by interviews with five teacher representatives from each school. Furthermore, the data were analyzed by path analysis. The findings indicate that: (1) work motivation had a direct positive effect on teacher performance, (2) work discipline had a direct positive influence on teacher performance, (3) teacher interpersonal communication had a direct effect on teacher performance, and (4) the most dominant influential factor on teacher performance was teachers’ interpersonal communication.
Applications of Wavelet Transform and Wavelet Packet Transform to Detect the Crack in Micro Beams
Authors: Ithaya Priya.B Ravikumar.K,
Published: May 2021

Micro beams found to be an optimistic device for several applications in various MEMS device like actuators, diaphragms, sensors and accelerometers. Its high sensitivity, accuracy and precision made this to be a basic functional unit of most MEMS devices. Micro beams shows difference in its vibrational frequency, stress and deflection over various input conditions. Occurrence of defects in the miniaturized structure can show major impact in its performance and sensitivity. Hence it is very essential to detect any defects presents in the micro device structure. In this study an eminent method of identifying the presence of cracks and its exact locations by interpreting the change in deflection and stress experienced by the micro beam using wavelet transform was illustrated. Wavelet transform and its packet decomposition is one among the efficient mathematical tool for analyzing signals in both frequency and time domain.  The proposed device structure was designed and modeled using COMSOL Multiphysics simulation software. From the obtained results the location of the cracks which appears in micro cantilever structure due to various working conditions can be perfectly identified using wavelet transform analysis.
Public Transport Knowledge Management in Local Communities
Authors: Et al. Pratya Nuankaew
Published: May 2021

The purpose of this research is to construct an application prototype from the study of public transport problems in the local communities of Thailand. There are three main goals for research to be successful: (1) To study problems and situations in which communities are affected by public transport. (2) To design and standardize the management of problems and situations in which the community is affected by public transport. (3) To construct a public transport application prototype for local communities of Thailand. Population and sampling were scoped from the public transport service provider in Phayao Province, Thailand. The prototype was constructed with an Android Mobile Application. The results of the study showed that the developed application prototypes showed a high level of satisfaction (total means is equal to 3.95, S.D. is equal to 0.73) with the design and implementation of the prototype. In the future, the researcher will bring the application to the test and deployment.
Towards Balanced Reciprocity: The Relationship between Landowners and Landless Peasants in the Rural Community
Authors: Wiwiek R. Adawiyah Imam Santosa, Muslihudin,
Published: May 2021

Reciprocity relationships are a necessity in human life. This study aims to describe the various factors that determine the formation of balanced reciprocity in the relationship between land owners and farm laborers. The research's location was determined intentionally in the rural areas of Purbalingga Regency and Banyumas Regency, Central Java Province, Indonesia. This study used a qualitative method with a semi-grounded phenomenological research design. The results showed that a balanced reciprocity relationship was determined by a variety of principal and smoothing factors. The identification results showed that the main determinants include opportunity, benefit, mutual trust, closeness of social relations, motives for reciprocal exchange, openness in communication, willingness to give transactions to accept and return. The array of determinants of smoothing factors is routine contact and communication, empathy, tolerance, length of relationship, regularity of social interactions, network of cooperation, solidarity, transaction ability, mutual control and evaluation. The existence and strength of these two types of determining factors have an important function in the formation of balanced reciprocity among agricultural land owners and farm laborers. Willingness, self-awareness and opportunity are very important to develop to form balanced reciprocity.
AlexResNet+: A Deep Hybrid Featured Machine Learning Model for Breast Cancer Tissue Classification
Authors: Dr.Devaraj Verma C Shruthishree S.H, Dr.Harshvardhan Tiwari,
Published: May 2021

The exponential rise in cancer diseases, primarily the breast cancer has alarmed academia-industry to achieve more efficient and reliable breast cancer tissue identification and classification. Unlike classical machine learning approaches which merely focus on enhancing classification efficiency, in this paper the emphasis was made on extracting multiple deep features towards breast cancer diagnosis. To achieve it, in this paper A Deep Hybrid Featured Machine Learning Model for Breast Cancer Tissue Classification named, AlexResNet+ was developed. We used two well known and most efficient deep learning models, AlexNet and shorted ResNet50 deep learning concepts for deep feature extraction. To retain high dimensional deep features while retaining optimal computational efficiency, we applied AlexNet with five convolutional layers, and three fully connected layers, while ResNet50 was applied with modified layered architectures. Retrieving the distinct deep features from AlexNet and ResNet deep learning models, we obtained the amalgamated feature set which were applied as input for support vector machine with radial basis function (SVM-RBF) for two-class classification. To assess efficacy of the different feature set, performances were obtained for AlexNet, shorted ResNet50 and hybrid features distinctly. The simulation results over DDMS mammogram breast cancer tissue images revealed that the proposed hybrid deep features (AlexResNet+) based model exhibits the highest classification accuracy of 95.87%, precision 0.9760, sensitivity 1.0, specificity 0.9621, F-Measure 0.9878 and AUC of 0.960.
Revisit Intention Regression Model of Agritourism Destinations of Pelaga and Buyan-Tamblingan, Bali, Indonesia
Authors: Ni Putu Dyah Krismawintari, I Wayan Ruspendi Junaedi I Gusti Bagus Rai Utama, Christimulia Purnama Trimurti,
Published: May 2021

This investigation was driven in Pelaga and Buyan-Tamblingan Area was organized using a research study that about 500 respondents for the start of 2020 and dictated by an accidental sampling method. The statistical analysis uses multiple linear regression, ANOVA, and R square to make an investigation conclusion. Main findings are simultaneously predictors variables consisting of beautiful scenery, most recently facilities, unique attractions, completeness of facilities, close distance, easy transportation, easy to reach location, and community hospitality significantly influence variable dependent intention to visit with influence strength of the determinant value at 0.539 or 53.9%. This study will enable the marketing practitioners to better understand the motivation of visitors to visit agritourism areas. Some predictor variables that significantly influence the intention to visit are the latest facilities, unique attractions, easy to reach location, and community hospitality.
Internet of Things Device Enabled Smart Home Integrated Architecture with Security Services
Authors: J. Gokulraj J. Deepika,
Published: May 2021

The innovative internet technology of domestic automation applications is widely distributed. Home automation systems have become increasingly sophisticated by providing access to all people irrespective of time or place. Home automation devices, known as smart home systems, are supplied with wireless communication technologies via cell phones and microcontrollers for a remote control of wired non-computers at home. In this digital age, the home automation system was developed to target a broad range of applications for new digital consumers. Smart home systems with Internet connectivity of objects and security services, incorporation of intelligence into sensors and actuators, networking of intelligent elements that enable interactions between intelligent devices allow easy access at different locations, increased calculation power, storage capacity and efficient data sharing.
The College Students’ Satisfaction for Using Edmodo - the Learning Technology Application as E-Learning Media and Learning Effectiveness Improvement in Economic Higher Institution Mahardika Surabaya
Authors: Et al. Susilowati
Published: May 2021

This is quantitative research. The purpose of this study was to reveal the use of Edmodo free learning applications on student satisfaction and learning effectiveness.  The population of this study was students of the Mahardika Surabaya Economics College who took e-learning courses. While the sample is 160 students. Sampling was done by Non-Probability Sampling, namely by Accidental Sampling. The instrument used is in the form of a questionnaire. The data analysis used is path analysis. The results of the analysis prove that satisfaction has a significant effect on the effectiveness of learning. Student satisfaction affects the effectiveness of learning because they are satisfied with learning, service, and teaching. They can increase effectiveness, such as doing assigned assignments, presenting, studying, and discussing with colleagues or lecturers.
Exploratory Data Analysis and Offence Prediction
Authors: Et al. Vivek Gaurav Singh
Published: May 2021

Big data is a part of data science that pinpoint different ways to diagnosis, systematically withdraw facts from informational collections that are excessively enormous or complex to be managed by customary information handling application software. Big Data Analytics(BDA) is a specific tactic for breaking down and recognizing assorted examples, kindred, and patterns inside a massive volume in order. Big data analytics (BDA) is a meticulous approach to data analysing and recognising unique layers, connections, and trends ina gigantic volume of data. We apply BDA to illegitimate information collected in this paper, where preliminary data analysis was conducted for visual analysis and trend prediction. Following statistical analysis and visualisation, some incredibly interesting facts and patterns emerge from illegal data in INDIAN states i.e. (Uttar Pradesh, New Delhi, Goa). The prognostic results demonstrate that Kerasstateful LSTM execute enhanced than neural network models. These capable outcomes will allow police departments and law enforcement agencies to better understand crime problems and gain insights that will allow them to schedule activities, predict the likelihood of incidents, efficiently allocate resources, and optimise decision making.
Implications of the Intertwined Effects of Curriculum Inclusive MOOCs
Authors:   the Department of IT, Amity School of Engineering and Technology, Amity University Uttar Pradesh, India, Shrivastava Aakarsh , Hasteer Nitasha , Soni K. M.
Published: May 2021

Massive open online courses have been popular among learners when it comes to technology-enhanced learning. With the high potential to enhance and drastically improve the learning process of the learners, MOOCs can conveniently be considered to offer blended e-learning for regular and traditional methods of learning. Universities are considering the adoption of these MOOCs by implementing different models to merge these MOOCs into the traditional classroom and regular curriculums. Multiple methods have been identified by various Universities for blended MOOCs. One such model is Curriculum Inclusive MOOC (ciMOOC) which is a framework implemented by a private Indian University to provide flexibility to both University and its students. The paper highlights the intertwined effects of the ciMOOC and records the perception of learners towards such blended models. Comparative of the evaluation methodologies adopted by the University for Curriculum Inclusive Model and the one used by a MOOC platform has been outlined. By analyzing the performance of learners in ciMOOC, the study attempts to evaluate the effectiveness of a blended model. From the analysis, we infer that a blended model of this nature reduces contact hours and facilitates the learning process.
RORY GLEESON’S “SPACE MOUNTAIN” IN RUSSIAN
Authors: Shagdyrov Batatumer
Published: May 2021

The proposed material presents a translation of the short story “Space Mountain” by the contemporary Irish author Rory Gleeson. The works of the young writer have already been noted by academics and theater critics, arouse interest among a wide readership in the UK, but have not yet been translated into Russian. The translation of the story was made by the winner of the international competition “ Art & Craft of Translation”, which was held in 2020. The text is accompanied by a short commentary.
TRIUMPH OF MEMORY: PERFORMANCES BASED ON SEBALD’S PROSE IN RUSSIAN THEATRE
Authors: Novikova Svetlana Yu.
Published: May 2021

The article is focused on the reception of W.G. Sebald’s work (1944–2001) in Russia. The paper examines the first interpretation of the German writer’s prose on Russian theater scene. The play “Austerlitz” based on his novel of the same name was staged by director Evgenia Safonova in 2019 at the Tovstonogov Bolshoi Drama Theater (St. Petersburg). The paper analyzes the historical and cultural contexts of the production, particulars of the director’s interpretation of the literary material, and responses to the performance from theater critics. What information about the German writer do the reviewers provide their readers with? How relevant and significant is the staging of Sebald’s prose for theatrical life in Russia today? The answers to these questions are given in the article, and they clarify the perception of the writer’s work in Russia, and contribute to the general knowledge about RussianGerman cultural ties in the 21st century.
Incertidumbre, disgregación y condición humana
Authors: Caleri Silvina
Published: May 2021

El artículo explora los relatos de la filmografía apocalíptica y posapocalíptica, particularmente de aquellas producciones en las que el potencial exterminio del mundo no responde a eventos de la naturaleza o a invasiones alienígenas (aconteceres extrínsecos a los males de la sociedad contemporánea), sino a motivos más recónditos: el fin de los tiempos se insinúa como fenómeno que surge del interior de la humanidad misma. En tal sentido, el apocalipsis abandona su función expiatoria, así como la batalla final entre el bien y el mal. Se revisanlas obras que advierten sobre el costado autodestructivo de la humanidad en el siglo XX, y se concentra en la producción de películas y series que, en lo que va del presente siglo, escenifican el derrumbe del mundo conocido y los modos de vida de los supervivientes en los tiempos que le siguen. Este planteamiento del fin del mundo, a diferencia de las ficciones del pasado siglo, expresa desaliento y perplejidad en relación con nuestro tiempo y retrata un futuro de disgregación, con pocas posibilidades de regeneración colectiva, en el cual los seres humanos devienen errantes solitarios, imposibilitados para reconstruir lo social, pero en búsqueda obstinada de lo mejor de su condición humana.
Effect of hydro-methanol stem extract from Anacardium occidentale on haematology and serum biochemistry in cockerels
Authors: Jacinta Ngozi Omeke , Chukwuebuka Ikenna Ugochukwu Iniobong , Nnenna Tochi Emejuo , John Ikechukwu Ihedioh , Aruh Ottah Anaga , Wilfred Sunday Ezema , Osita Arinze Okoye John
Published: May 2021

This study aims to investigate the effects of orally administered graded doses of hydro-methanol stem extract from Anacardium occidentale (MSEAO) on the haematology and serum biochemistry of chickens. Forty, 8-weeks old cockerel chickens were randomly assigned into four groups (groups 1, 2, 3 and 4) of ten birds each. Groups 1, 2 and 3 received 3000, 1500 and 500 mg/kg body weight of MSEAO, respectively, while chickens in control group (group 4) were given drinking water placebo. Blood samples were collected from all chickens on day 0- and 48-hours post-treatment. Haematology and serum biochemistry were evaluated following standard procedures. The results showed that most of the haematological parameters in the treated groups did not differ significantly as compared to the control group. The serum biochemistry results showed that the serum alanine aminotransferase (ALT) activity ingroups 1 and 2 were significantly (P 0.05) lower than that ingroups 3 and 4. Serum uric acid levels ingroups 1 and 2 chickens were significantly (P 0.05) lower than that in the control group, while the creatinine levels of chickens in the treated groups were significantly (P 0.05) lower than that of chickens in the control group. It was concluded that MSEAO, as used in the study, led to significant changes in heterophil counts, serum ALT and ALP activities, uric acid, creatinine, and calcium levels
Análisis retrospectivo de registros clínicos de una población felina, a partir de los rangos etarios definidos por la International Cat Care
Authors: Troncoso Ignacio , Astete Gisela , Fischer Christof , Luzio Álvaro , Molina Marcela
Published: May 2021

This study was conducted as a retrospective analysis of 1199 cat clinical files in a veterinary clinic between 2008 and 2013. The study aims to determine an importance ranking for the different pathologies. This analysis is based on the age categories provided by the International Cat Care (ICC) and takes into account the variables: affected system, race, sex, and reproductive condition. Out of the total files, 69% (827/1199) accounted for patients with pathologies and the integumentary system was the most frequently affected (20.1 %). The most frequently found race was the common home cat (CHC) with 98.42% while the remaining 1.58 % accounted for specific race specimens. Regarding the sex distribution, 52.29% of affected cats were male and 47.71% were female. Regarding the age ranges, a higher percentage of pathologies was found in junior cats, with 41.53%. Regarding the reproductive condition, 76.15% of the clinical files analyzed herein belong to non-neutered cats and 7.51% to neutered cats. The remaining percentage difference (16.35 %) includes all the patients without this specific information.
Mortalidad de vertebrados silvestres por atropellamiento en el departamento de Casanare, Colombia
Authors: Rojano Bolaño César , Ávila Avilán Renzo
Published: May 2021

Road have impacted negatively the biodiversity and running-over the animals is one of the most relevant direct causes. This study aims to determine the time distribution and evaluate the spatial patterns related to running-over of wild vertebrates in the roads Yopal-Quebradaseca and Yopal-variante Jagüeyes, in Casanare (Colombia). between 2017 and 2018, running-over events were recorded in 18 trips at 40 km/h. Running-over rates and hotspots were determined as well as some landscape variables (wetlands, native vegetation, buildings) and road variables (shape and use of traffic signs) related to this issue. This way, 139 collision events were recorded including 8 mammal species, 13 reptiles, 20 birds and one amphibian. Caiman crocodilus (n = 17), Rhinella marina (n = 13) and Tamandua tetradactyla (n = 13) were the most run-over species. Myrmecophaga tridactyla was the only threatened species reported in this vertebrate group. Reptiles were the animals with higher running-over rates in both road directions. Based on the total data, 15 hotspots were identified. In general, running-over events were associated with going through curve sections, getting close to a wetland, and driving in areas without any infrastructure. In these events, 64% of the run-over animals were found at a distance lower than 2 km from traffic sign, which indicates a poor effectiveness of these signs. This is the first report of animal running-over in this flooded savanna and is expected to be used as a tool to mitigate the impact on this province.
PREVALENCE AND IDENTIFICATION OF EIMERIA SP., AND ISOSPORA SP., AN INTESTINAL PROTOZOA OF BALI CATTLE IN WET HIGHLANDS AND LOWLANDS
Authors: Zefanya Fiorencia , Apsari Ida Ayu Pasti , Oka Ida Bagus Made
Published: May 2021

Infeksi protozoa gastrointestinal merupakan salah satu faktor yang sering mengganggu kesehatan ternak sapi bali. Prevalensi infeksi protozoa gastrointestinal dapat beragam karena dipengaruhi oleh beberapa faktor, salah satunya faktor kondisi lingkungan. Tujuan dari penelitian ini untuk mengetahui prevalensi dan identifikasi infeksi protozoa gastrointestinal sapi bali yang dipelihara secara semi intensif di dataran tinggi dan dataran rendah basah provinsi Bali, serta hubungan kondisi wilayah, jenis kelamin dan umur terhadap prevalensi infeksi protozoa gastrointestinal. Sampel penelitian yang digunakan sebanyak 300 feses sapi bali segar yang diperiksa dengan metode pengapungan menggunakan zat pengapung gula Sheater. Hasil dari penelitian didapatkan 101 dari 300 (33,6%) sampel yang diperiksa positif terinfeksi protozoa gastrointestinal. Data hasil penelitian dianalisis dengan uji Chi-square dan didapatkan hasil bahwa kondisi wilayah, jenis kelamin dan umur tidak berpengaruh nyata terhadap prevalensi protozoa gastrointestinal. Hasil identifikasi protozoa gastrointestinal di wilayah dataran tinggi dan dataran rendah basah Provinsi Bali hanya di dapatkan Eimeria sp dan Isospora sp.
COVID-19 Health Evidence Summary No.107
Authors: Millington Kerry , Reddin Samantha
Published: May 2021

This weekly COVID-19 health evidence summary (HES) is based on 3.5 hours of desk-based research. The summary is not intended to be a comprehensive summary of available evidence on COVID-19 but aims to make original documents easily accessible to decision-makers which, if relevant to them, they should go to before making decisions. This summary covers publications on Clinical characteristics and management; Epidemiology and modelling; Infection Prevention and Control; Therapeutics; Vaccines; Indirect impact of COVID-19; Social Science; Comments, Editorials, Opinions, Blogs, News; Guidelines, Statements & Tools; Dashboards & Trackers; C19 Resource Hubs; and Online learning & events
Criminal Activity and Deforestation in Latin America
Authors: Bolton Laura
Published: May 2021

This review examines evidence on criminal deforestation activity in Latin America (particularly, but not exclusively the Amazon) and draws from the literature on the lessons learned in combatting criminal deforestation activity. This review focuses on Brazil as representative of the overwhelming majority of literature on criminal activity in relation to deforestation in the Amazon. The literature notes that Illegal deforestation occurs largely through criminal networks as they have the capacity for coordination, processing, selling, and the deployment of armed men to protect operations. Bribery, corruption, and fraud are deeply ingrained in deforestation. Networks may bribe geoprocessing experts, police, and public officials. Members of the criminal groups may become council members, mayors, and state representatives. Land titles are fabricated and trading documentation fraudulent. The literature also notes some interventions to combat this criminal deforestation activity: monitoring and law enforcement; national systems for registry and monitoring; legal enforcement for compliance of environmental law; International agreements and action; and Involving indigenous communities in combatting deforestation.
Urban Flood Risks, Impacts, and Management in Nigeria
Authors: Lucas Brian
Published: May 2021

This summary reviews evidence on the urban flooding impact, risk factors, and management and mitigation measures in Lagos and other cities in Nigeria. Flooding is a common problem every year in many cities across Nigeria, but the impacts of flooding are poorly documented. There is no consistent set of statistics at a national or sub-national level that can be used to compare the impacts of flooding across cities, and reports that focus on particular flood events are often incomplete. The literature notes the principal factors contributing to flood risk including uncontrolled urban growth, inadequate and poorly-maintained drainage systems, solid waste management practices, weakness in institutional capacity and coordination, and warning systems and public awareness. The evidence base for flood impacts, risks, and mitigation efforts at the city level in Nigeria is limited, and much of the information available is low quality, inconsistent, or outdated. Many rely on surveys of city residents rather than objective empirical data, and some of these surveys appear to be poorly designed. A significant number of the academic publications available have been published in non-mainstream journals without the usual level of academic peer review. Recent information is scarce, and a significant amount of the available evidence dates from 2011 and 2012, which coincides with an episode of nationwide flooding that was among the worst in Nigeria’s history.
Learning from a Living Archive: Rejuvenating Child and Youth Rights and Participation
Authors: Johnson Vicky , Lewin Tessa , Cannon Mariah
Published: May 2021

This paper reflects the findings of the first phase of the REJUVENATE project, which set out to understand and map approaches to integrating children, youth, and community participation in child rights initiatives. We did this through a scoping of existing practitioner and academic literature (developing a project-based literature review matrix), a mapping of key actors, and the development of a typology of existing approaches. All three of these elements were brought together into a ‘living archive’, which is an evolving database that currently comprises 100 matrices, and a ‘collection’ of key field practitioners (many of whom we have interviewed for this project). In this paper we: (1) present a user-friendly summary of the existing tradition of substantive children’s participation in social change work; (2) share case studies across various sectors and regions of the world; (3) highlight ongoing challenges and evidence gaps; and (4) showcase expert opinions on the inclusion of child rights and, in particular, child/youth-led approaches in project-based work.
Leishmaniose Visceral no HDT de Araguaína - TO
Authors: Viza Junior Gilson de Abreu
Published: May 2021

A Leishmaniose Visceral (LV) tornou-se uma das doenças mais importantes no Brasil no atual contexto, em razão da sua incidência com caráter de evolução crônica e envolvimento sistêmico que resulta em alta letalidade. Este relato de caso retrata um paciente com febre e queda significativa do estado geral e outros sinais e sintomas cuja identificação do quadro clínico sustentado por exames complementares para LV foi essencial para o estabelecimento de um tratamento adequado.
DIAGNÓSTICO TARDIO DE RECIDIVA EM HANSENÍASE VIRCHOWIANA E SUA ASSOCIAÇÃO Á REAÇÃO HANSÊMICA
Authors: Sousa Filho Emanuel Acaiaba Reis de , Vulcano Isabella Andrade , Torres Novaes Bastos Argemiro Manoel , Vieira Lucas Aguiar , Pullig Ingrid Andrade , Bela Cruz Faria Raissa Lelitscewa , Oliveira Fagundes Fabiana Ribeiro
Published: May 2021

A hanseníase é uma doença infecto-contagiosa causada pelo bacilo Mycobacterium Leprae, que possui tropismo por células dermatológicas e pelo sistema nervoso periférico do corpo. Trata-se de uma patologia com evolução lenta, ou seja, os primeiros sintomas da doença demoram a aparecer e geralmente passam despercebidos no primeiro contato de uma consulta médica. O objetivo central deste artigo é trazer a importância de um diagnóstico precoce e apresentar um caso de hanseníase virchowiana com recidiva após tratamento poliquimioterápico, e sua associação à reação hansênica. A identificação tardia de recidiva da doença acarretou sequelas permanentes ao paciente, que poderiam ser evitadas caso o tratamento adequado fosse administrado de forma precoce. 

Palavras-chave: Hanseníase;Hanseníase Virchowiana;Reação Hansênica
Ejercicio en el medio acuático para fortalecer la zona perineal en mujeres embarazadas. una revisión bibliográfica
Authors: Pastor Pastor Óscar , Larrosa Fernández Patricia , Albarracín Pérez Apolonia
Published: May 2021

Antecedentes: En la historia reciente de la investigación en la actividad física para la salud, se ha demostrado que la utilización de las propiedades del medio acuático (presión hidrostática, hipogravidez y termorregulación) reporta numerosos beneficios para la población de mujeres en periodo de gestación, siendo éste muy adecuado con muchas ventajas para el momento del parto y postparto, tanto para la madre como para el bebé. Objetivos: Realizar una revisión bibliográfica de los estudios donde se analicen la integridad del suelo pélvico y las episiotomías durante la labor del parto tras participar en programas de actividad física en el medio acuático. Método: Tras la búsqueda inicial teniendo en cuenta la estrategia de la misma, el resultado obtenido fue de 88 publicaciones provenientes de PubMed, Scielo, etc., que tras descartar duplicados y analizar los criterios de inclusión quedaron 3 artículos, siendo 2 de ellos protocolos de estudio, y 1 artículo de investigación. Resultados: Dichas publicaciones resaltaron el seguimiento de las pautas propuestas por el American College of Sports Medicine (ACSM) para dicha población de 3 sesiones semanales de 60’ a una intensidad moderada (12-14 Escala de Borg). Conclusiones: Gracias al ejercicio desarrollado en el medio acuático, con ejercicios de fuerza-resistencia implicando los grupos musculares suelo pélvico, se consigue aumentar significativamente la tasa de integridad del perineo, mejorando las labores del parto y reduciendo la recuperación postparto.
Connecting experiences to employability through a meaning-making approach to learning
Authors: Reid Andrea , Richards Anna , Willox Dino
Published: May 2021

A key part of the student experience in the higher education context is employability. There is an expectation that universities will contribute to their students’ employability and indeed they are measured on this contribution and are allocated funding based on it. Despite the importance of employability in higher education, it remains a complex and contested concept, often conflated with employment – graduates in jobs and the roles they occupy – and seen as a quantifiable outcome of the student experience. Where employability is understood as an individual’s knowledge, capabilities, and personal attributes that make them more likely to gain employment and be successful in their professional lives, it is often framed by the discourse of skills. There are some employability models, however, that champion a more holistic view of employability and highlight the role that experiences play in individual employability development. This paper reports on the development of an institutional employability framework and reflective process in an Australian research-intensive university. The paper discusses the experiential learning theories that underpin the reflective process that supports students to understand and articulate employability learning, for framing narratives around the potential to contribute to an organisation for employment, and for the transfer of this potential to professional contexts. The framework and reflective process represent employability as a learning process through which students make meaning from their experiences and learning opportunities. This involves understanding the value of their experiences, how to articulate that value, and how to transfer it to workplace performance