bluuebunny/crossref_metadata_2025 huggingface dataset:
A Collaborative Study of Foreign Trade and Economic Performance of India With Southeast Asian Countries
Authors: Binte-Saif Samira
Published: November 2021

The Indian economy was in distress at the brink of the country's independence since 1947 from the colonial rule and partition. India was fulfilling the development needs of the colonial rulers. The state that should have been responsible for breakthroughs in agriculture and industry refused to play even a minor role in this regard. On the other hand, during the early 19th century before India's independence, the world was seeing India's accelerated development and expansion in agriculture, industry, health, and the economy. Based on the OECD's Economic Outlook 2021, the Indian economy contracted by 7.7% in 2020 as domestic consumption declined. Despite the COVID-19-related downturn, the OECD has projected India's economy to expand by 9.9% and become the fastest-growing G20 economy of the world. This is a collaborative study of India's economy and foreign trade with some Asian countries. This research reviews the factors accelerating the development of India's economy, achievements, and obstacles of India's growth of foreign trade and economic performance.
Leveraging Content Creation to Boost Student Engagement
Authors: Cohen Michael
Published: November 2021

Communication and the desire to engage with others is at the core of what makes us human. We love to tell stores, share ideas, and have our voices heard. The process of developing these skills is part of what will make us successful friends, family members, colleagues, and even future innovators. With this in mind, the process of exploring content creation skills in the K12 space will allow us to help our students nurture and develop core skills that will make them more active participants in classroom learning while preparing them for a future that will expect content creation and various forms of communication skills to be what proficient in Microsoft Word was to the resumes of yesteryear.
Occupational Safety Management, Working Conditions, and Economic Performance
Authors: Pavlič Miran , Živković Snežana , Pavlič Alenka
Published: November 2021

Occupational safety and health (OSH) represents a holistic approach to achieve zero accident vision. This can only be accomplished through systemic thinking by taking into account the plurality of interdependent factors. The aim of the study was to design an original model, which would explain how the occupational safety management (OSM) factors affected working conditions and economic performance of enterprises. The authors conducted an empirical, evidence-based research and found that the enterprises that developed a higher level of OSH consistently met the legal requirements in the area of OSH. Generally, those enterprises that had their own OSH department or committee and introduced OHSAS 18001 provided better working conditions and achieved higher economic performance. The presented model of OSM factors allowed the enterprise leaders and managers, as well as the policy creators to achieve more favorable working conditions, better economic performance of an enterprise, and contribute to a sustainable development of the society and environment.
Management and Reporting on Adverse Events in Healthcare
Authors: Birk Tot Karin , Pađen Ljubiša , Markič Mirko
Published: November 2021

Reporting adverse events is one of the first steps towards safer patient treatment. To achieve this, attention should be focused on developing or improving the safety culture in healthcare. Managers are responsible for the successful functioning of healthcare facilities and the resulting enhanced reporting. Managers achieve their success in an institution through the four core tasks of managers: planning, organizing, leading, and controlling. Because the core functions of managers affect the success of a facility and, even earlier, the processes within a facility, including the success of adverse event reporting, the chapter reviews the literature on the functions of management in relation to adverse event reporting in healthcare. The content of the chapter will be helpful to all those who are involved in safety incident reporting from the perspective of the core functions of managers and who contribute to their socially responsible behavior and promoting sustainable development.
Spreading Stochastic Models Under Ising/Potts Random Fields
Authors: Zimeras Stelios
Published: November 2021

Stochastic models have become a powerful necessary statistical tool to estimate parameters where data are represented by regions of interests under uncertain areas. Due to the high dimensionality of the spatial patterns, investigation of the stochastic modeling simulations must be applied based on spatial variability. Models for spreading diseases are given based on whether or not the disease succeeds or fails to appear in the region. Based on this assumption, an Ising/Potts random fields model has to be introduced to analyze the spatial pattern of spreading. In this work, the spatial pattern models for spreading diseases have been analyzed considering Markov random fields auto-models. The Gibbs sampler would be used to simulate example images for various parameter combinations. In this work, a spatial analysis methodology based on Bayesian analysis was introduced, and procedures to solve the problem with spatial variability are described based on spatial model estimation techniques.
The Impact of 3D Printing Technology on the COVID-19 Pandemic
Authors: Barua Ranjit , Datta Pallab , Chowdhury Amit Roy
Published: November 2021

3D printing technology has influenced the healthcare and medical sector during the COVID-19 pandemic. 3D printer machines fabricated numerous medical kits and accessories. These include face shields, specimen collectors, personalized face masks, ventilators, protective eyewear, personal protection equipment (PPE), and isolation wards/chambers. All these were fabricated in a short period as requirements were increasing expressively. The chapter describes several of these applications of 3D printing, which assisted in looking after numerous lives throughout the COVID-19 pandemic. The cooperation of the 3D-printing knowledge with the worldwide healthcare community will develop innovative and essential prospects in the upcoming days. Also, numerous important proposals are described that were applied to fight against the COVID-19 outbreak, monitored by a discussion about the upcoming trend of how additive manufacturing can help people worldwide to control any upcoming pandemic situation.
A Framework for Educational Robotics in Kindergarten
Authors: Mich Ornella , Ghislandi Patrizia Maria Margherita , Massa Paolo , Mardare Vlad , Bisutti Tommaso , Giacomozzi Daniela
Published: November 2021

This systematic review defines a framework for educational robotics in kindergarten. The authors performed their search in online databases via keyword search and snowball sampling. At the end of the process, they analyzed 46 papers. In-depth analysis of them has led to the identification of a four dimensions framework: (1) design and execution of robotics curricula: most of them us programmable floor robots, like Bee-Bot, but also more sophisticated tools, like KIBO, and tend to be created from scratch, often designed and carried out by researchers directly; (2) design and implementation of the research studies: a balance among adopted research methodologies (qualitative, quantitative, and mixed), non-experimental, collected by observations, tests, and interviews; (3) outcomes on the participants' skills: other than technical skills, also investigating the impact on soft and cognitive skills, learning engagement, and emotions; (4) the gender dimension: around one in five papers investigated it.
Social Media in Business Decisions of MSMEs
Authors: Kumar Vikas , Nanda Pooja , Tawangar Samira
Published: November 2021

Social media has progressively grown in the last century and is now seen as a potential opportunity for various purposes, including the decision-making. Present work explores how social media platforms such as Facebook, Twitter, and Instagram etc. can be used to support the decision making process of MSMEs. The work is exploratory in nature and relevant literature has been reviewed to identify the decision making approaches at different managerial levels and how they have been integrated with the social media applications. Specific examples of Social media platforms have been discussed, considering the MSMEs’ business environment. Along with the practices, most important challenges to social media integration have also been presented.
Algorithmic Analysis of Automatic Attendance System Using Facial Recognition
Authors: Rastogi Rohit , Tyagi Abhinav , Upadhyay Himanshu , Singh Devendra
Published: November 2021

Attendance management can become a tedious task for teachers if it is performed manually.. This problem can be solved with the help of an automatic attendance management system. But validation is one of the main issues in the system. Generally, biometrics are used in the smart automatic attendance system. Managing attendance with the help of face recognition is one of the biometric methods with better efficiency as compared to others. Smart Attendance with the help of instant face recognition is a real-life solution that helps in handling daily life activities and maintaining a student attendance system. Face recognition-based attendance system uses face biometrics which is based on high resolution monitor video and other technologies to recognize the face of the student. In project, the system will be able to find and recognize human faces fast and accurately with the help of images or videos that will be captured through a surveillance camera. It will convert the frames of the video into images so that our system can easily search that image in the attendance database.
Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation
Authors: Hiriyannaiah Srinidhi , Siddesh G. M.  , Srinivasa K. G.
Published: November 2021

Natural language serves as an impeccable tool for the appropriate representation of knowledge among individuals. Owing to the varying representation of the same knowledge base and the perpetual growth of the World Wide Web, the need to uncover an effective method to condense available textual data without significantly dampening the implied information is paramount. In an attempt to solve the need for effectively condensing textual data, the paper proposes a system which is capable of mimicking the human brain's approach to process Natural Language Fuzzy Logic. The system is subjected to both intrinsic and extrinsic evaluation and the results are compared against two other text summarizers - Auto summarize Tool and SweSum using the CNN Corpus Dataset. The Relevance Prediction Measure, F1 Score and Recall results suggest the applicability of Fuzzy Reasoning in text summarization and through evaluation, it can be inferred that proposed system has successfully tried to mimic the process of summary generation by the human brain.
Towards an Ontology for Impact Projection of Complex Decisions
Authors: França Juliana Baptista dos Santos , Borges Marcos Roberto da Silva
Published: November 2021

Complex decisions are an unusual process, composed of actions. An impact is a measure of the tangible and intangible consequences of one thing on another. Impacts are interdependent, and the environment in which they are measured generates constant change for decision making. This paper proposes the impact projection’s conceptualization, organized into a meta-ontology called OntoImpact. It comprises concepts that are crucial in supporting the understanding and representation of impact projections for complex decisions. The main contribution of OntoImpact is to support decision-makers in their work tasks, besides providing bases to support the development of a complex decision system. This paper was evaluated in a case study of an emergency domain. The results show that OntoImpact provides elements that can support complex decision analysis and project impacts in a collaborative way.
Optimizing the Migration of Virtual Machines in Cloud Data Centers
Authors: Toutov Andrew , Toutova Natalia , Vorozhtsov Anatoly , Andreev Ilya
Published: November 2021

Dynamic resource allocation of cloud data centers is implemented with the use of virtual machine migration. Selected virtual machines (VM) should be migrated on appropriate destination servers. This is a critical step and should be performed according to several criteria. It is proposed to use the criteria of minimum resource wastage and service level agreement violation. The optimization problem of the VM placement according to two criteria is formulated, which is equivalent to the well-known main assignment problem in terms of the structure, necessary conditions, and the nature of variables. It is suggested to use the Hungarian method or to reduce the problem to a closed transport problem. This allows the exact solution to be obtained in real time. Simulation has shown that the proposed approach outperforms widely used bin-packing heuristics in both criteria.
Design and Development of an Intelligent System Based on the Internet of Things for the Early Detection of Forest Fires
Authors: Sadouni Salheddine , Sadouni Ouissal , Benslama Malek
Published: November 2021

Automatic environmental monitoring is a field that encompasses several scientific practices for the assessment of risks that may negatively impact a given environment, such as the forest. A forest is a natural environment that hosts various forms of plant and animal life, so preserving the forest is a top priority. To this end, the authors of this paper will focus on the development of an intelligent system for the early detection of forest fires, based on an IoT solution. This latter will thus facilitate the exploitation of the functionalities offered by the Cloud and mobile applications. Detecting and predicting forest fires with accuracy is a difficult task that requires machine learning and an in-depth analysis of environmental conditions. This leads the authors to adopt the forward neural network algorithm by highlighting its contribution through real experiments, performed on the prototype developed in this paper.
An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency
Authors: Panigrahi Rasmita , Kuanar Sanjay Kumar , Kumar Lov
Published: November 2021

Code refactoring is the modification of structure without altering its functionality. The refactoring task is critical for enhancing the qualities for non-functional attributes, such as efficiency, understandability, reusability, and flexibility. The research aims to build an optimized model for refactoring prediction at the method level with seven ensemble techniques and varieties of SMOTE techniques. This research has considered five open source java projects to investigate the accuracy of the proposed model, which forecasts refactoring applicants by the use of ensemble techniques (BAG-KNN, BAG-DT, BAG-LOGR, ADABST, EXTC, RANF, GRDBST). Data imbalance issues are handled using three sampling techniques (SMOTE, BLSMOTE, SVSMOTE) to improve refactoring prediction efficiency and also focused all features and significant features. The mean accuracy of the classifiers like BAG-DT is 99.53%, RANF is 99.55%, and EXTC is 99.59%. The mean accuracy of the BLSMOTE is 97.21%. The performance of classifiers and sampling techniques are shown in terms of the box-plot diagram.
GIS-Based Multi-Criteria Decision-Support System and Machine Learning for Hospital Site Selection
Authors: Benmoussa Khadidja , Hamdadou Djamila , Roukh Zine El Abidine
Published: November 2021

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.
Machine-Learning-Based White-Hat Worm Launcher in Botnet Defense System
Authors: Pan Xiangnan , Yamaguchi Shingo , Kageyama Taku , Kamilin Mohd Hafizuddin Bin
Published: November 2021

This article proposes a white-hat worm launcher based on machine learning (ML) adaptable to large-scale IoT network for Botnet Defense System (BDS). BDS is a cyber-security system that uses white-hat worms to exterminate malicious botnets. White-hat worms defend an IoT system against malicious bots, the BDS decides the number of white-hat worms, but there is no discussion on the white-hat worms' deployment in IoT network. Therefore, the authors propose a machine-learning-based launcher to launch the white-hat worms effectively along with a divide and conquer algorithm to deploy the launcher to large-scale IoT networks. Then the authors modeled BDS and the launcher with agent-oriented Petri net and confirmed the effect through the simulation of the PN2 model. The result showed that the proposed launcher can reduce the number of infected devices by about 30-40%.
Computationally Simple and Efficient Method for Solving Real-Life Mixed Intuitionistic Fuzzy 3D Assignment Problems
Authors: Kumar P. Senthil
Published: November 2021

This article addresses the three-dimensional mixed intuitionistic fuzzy assignment problems (3D-MIFAPs). In this article, firstly, the author formulates an assignment problem (AP) and assumes the parameters are in uncertainty with hesitation. Secondly, based on the nature of the parameter, the author defines various types of solid assignment problem (SAP) in uncertain environments. Thirdly, to solve 3D-MIFAP, the PSK method for finding an optimal solution of fully intuitionistic fuzzy assignment problem (FIFAP) is extended by the author. Fourthly, the author presents the proofs of the proposed theorems and corollary. Fifthly, the proposed approach is illustrated with three numerical examples, and the optimal objective value of 3D-MIFAP is obtained in the form of intuitionistic fuzzy number, and the solution is checked with MATLAB, and their coding are also given by the author. Sixthly, the author presents the comparison results and their graphical representation, merits and demerits of the proposed and existing methods, and finally, a conclusion and future research directions.
Anti-Raider ATM System Using Mobilenetv2
Authors: Ganesan Gnana Guru , Arun C. A.
Published: November 2021

Cash vending machines are ubiquitous and although their technology vouches for its security, they are erratically stormed by the raiders. Albeit the escalating crime counts, the raiders are fleeing from the justice by virtue of evidence lacking. This research work proposes a computer vision based Anti-Raider ATM system. The proposed approach models the image, acquired from the CCTVs against the raider images based on the computer vision and deduces the fact from the MobileNetv2 architecture. Once the model identifies the raider, the image is uploaded to the Google Drive, which serves as evidence for the judicial department. The proposed research is modeled against several optimizers and the result concludes that, among them Adam optimizer has excelled in both computation time and accuracy.
Assessing the Impact of Substandard and Falsified Antimalarials in Benin
Authors: Bui Vy , Higgins Colleen R. , Laing Sarah , Ozawa Sachiko
Published: November 2021

Substandard and falsified antimalarials contribute to the global malaria burden by increasing the risk of treatment failures, adverse events, unnecessary health expenditures, and avertable deaths. Yet no study has examined this impact in western francophone Africa to date. In Benin, where malaria remains endemic and is the leading cause of mortality among children under five years of age, there is a lack of robust data to combat the issue effectively and inform policy decisions. We adapted the Substandard and Falsified Antimalarial Research Impact (SAFARI) model to assess the health and economic impact of poor-quality antimalarials in this population. The model simulates population characteristics, malaria infection, care-seeking behavior, disease progression, treatment outcomes, and associated costs of malaria. We estimated approximately 1.8 million cases of malaria in Benin among children under five, which cost $193 million (95% CI, $192–$193 million) in treatment costs and productivity losses annually. Substandard and falsified antimalarials were responsible for 11% (nearly 700) of deaths and nearly $20.8 million in annual costs. Moreover, we found that replacing all antimalarials with quality-assured artemisinin combination therapies (ACTs) could result in $29.6 million in annual cost savings and prevent over 1,000 deaths per year. These results highlight the value of improving access to quality-assured ACTs for malaria treatment in Benin. Policy makers and key stakeholders should use these findings to advocate for increased access to quality-assured antimalarials and inform policies and interventions to improve health care access and quality to reduce the burden of malaria.
Malaria Epidemiology Along the Indian Districts Bordering Bhutan and Implications for Malaria Elimination in the Region
Authors: Gupta Sanjeev Kumar , Saroha Poonam , Singh Kuldeep , Saxena Rekha , Barman Keshab , Kumar Avdhesh , Sharma Amit
Published: November 2021

It is important for malaria-endemic countries to address malaria control across international borders, and in particular to prioritize appropriate rapid diagnosis, treatment and surveillance. Bhutan and India aim to achieve malaria elimination by 2023 and 2030 respectively. Malaria elimination along the Indo–Bhutan border is of common concern. We delineated malaria epidemiology along the border to provide a blueprint for focusing malaria control efforts in key foci within this region. Epidemiological data from 2015 to 2019 were analyzed, as the most drastic reductions in malaria burden across most parts of India were witnessed in this time frame. Several areas of concern include low surveillance in most border districts, favorable climatic conditions for perennial malaria transmission, and movement of potential parasite carriers because of the porous borders. India and Bhutan need to control the importation/exportation of malaria cases. We highlight the foci of concern for which implementing tailor-made malaria control strategies may benefit both countries.
Nontyphoidal Salmonella among Children under 5 Years Old in Sub-Saharan Africa and South Asia in the Global Enteric Multicenter Study
Authors: Das Rina , Haque Md. Ahshanul , Chisti Mohammod Jobayer , Ahmed Tahmeed , Faruque Abu Syed Golam
Published: November 2021

Factors associated with nontyphoidal Salmonella (NTS) infection have not been well characterized to date. We aimed to compare the associated factors among children under age 5 years with NTS infection in sub-Saharan Africa and South Asia. Data from children having moderate-to-severe diarrhea (MSD) and asymptomatic children with NTS isolated from fecal specimens were extracted from the Global Enteric Multicenter Study (GEMS), conducted from December 2007 to March 2011. Compared with NTS-negative children, NTS-associated MSD cases in South Asia were associated with the presence of goat in the house (adjusted odds ratio [aOR]: 2.15; 95% confidence interval [CI]: 1.25–3.70) and handwashing after handling an animal (aOR: 2.26; 95% CI: 1.36–3.74). In sub-Saharan Africa, children with NTS associated MSD had a greater association with stunting (1.21 95% CI: 1.01–1.45), longer duration of diarrhea (aOR: 1.25 95% CI: 1.19–1.31); presence of cow in house (aOR: 1.54 95% CI: 1.09–2.16), handwashing after handling animal (aOR: 2.41 95% CI: 1.74–3.33). Drinking tube well water (aOR: 0.54 95% CI: 0.32–0.91), availability of toilet facility (aOR: 0.58 95% CI: 0.53–0.65), and handwashing before eating (aOR: 0.76 95% CI: 0.57–1.00) and after defecation (aOR: 0.80 95% CI: 0.69, 0.94) were found to be protective. The differentials between children of both regions having fecal NTS are distinct and underscore the need for policymaking for preventive and control strategies targeting stunted children.
Alignment of archives and records management to the business processes
Authors: Netshakhuma Sidney , Makhura Mphalane
Published: November 2021

This paper is a synopsis of the findings of a PhD Degree in Information Science that sought to develop the archives and records management framework by using the University of Venda and the University of the Witwatersrand for comparison. The study sought to assess the state of archives and records management at selected universities. The study was based on the records lifecycle model and the findings indicated that poor archives and records management programmes at universities have been a source of risk exposure leading to inefficiency in business processes. The results revealed a significant lack of alignment of archives and records management programme with business processes. The study recommends the adoption of Archives and records management framework.
Dark Corporeality: Blood, Vampires and Erotics in the British TV Series “Dracula” 2020. Part 1.
Authors: Sarakaeva Elina A.
Published: November 2021

The article analyzes the plot tropes of the British mini-series “Dracula”, produced by screenwriters S. Moffat and M. Gatiss, creators of the even more popular TV series “Sherlock”. The new “Dracula”, a mixture of black comedy and body horror, was produced by the BBC and shown on the streaming platform NETFLIX in 2020. The mini-series received the most controversial appraisals from viewers and art critics: from very enthusiastic to sharply negative. The author of this article examines the plot of the series “Dracula” and offers her own version of decoding its meanings. The article sequentially examines the artistic techniques used by famous British screenwriters to create visual and emotional effects, such as black humor, hypertext, queerbaiting, sexual seduction, the “defeated expectancy” trop etc.
8. IMPORTANCIA DEL EID
Authors: O. Leiro Fabio , Bianchi Romina
Published: November 2021

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13. CONDUCTA POSTNEOADYUVANCIA
Authors: O. Leiro Fabio , Bianchi Romina
Published: November 2021

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19. EXPERIENCIA DE NUESTRO GRUPO
Authors: O. Leiro Fabio , Bianchi Romina
Published: November 2021

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A SIMILARITY CRITERION FOR SPHERICAL FUEL ELEMENTS FREE FALL VELOCITY IN CYLINDRICAL CHANNELS WITH VISCOUSE LIQUID
Authors: Andrieieva Oksana L. , Bulavin Leonid A. , Tkachenko Victor I.
Published: November 2021

The introduction of nuclear high-temperature gas-cooled reactors (HTGR) with an active zone based on spherical fuel elements (SFE) poses the task of determining the velocity of their free fall in cylindrical channels with a viscous liquid. To solve it, the experimental data of other researchers are generalized, and for a certain range of Reynolds numbers the criterion of similarity for the velocity of free fall of spheres in cylindrical channels with water is found. The criterion is formulated on the basis of the Freud number. It is shown that from the dependence of the velocity of falling of the model sphere in a cylindrical vessel with water on the dimensionless diameter of the sphere, it is possible to determine the velocity of falling of the sphere in water, arbitrary.
THE REFINING OF TITANIUM BY CRUCIBLELESS ZONE MELTING METHOD
Authors: Kozhevnikov O.E. , Pylypenko M.M. , Shcherban A.P. , Datsenko О.А. , Pelykh V.M. , Virych V.D.
Published: November 2021

The physical substantiation of titanium refining by crucibleless electron beam zone melting (ZM) method in vacuum was presented. Calculations of the equilibrium, limiting and effective distribution coefficients for impurity elements in the base metal were carried out. The refining of titanium was studied experimentally, and samples with a purity of 99.92 wt.% were received. The total content of impurities was reduced by a factor of 1.5 (from 0.12 to 0.08 wt.%). The concentration of interstitial impurities was significantly reduced (oxygen – by 1.3; carbon – by 2; nitrogen – by 2.5 times). The structure and microhardness were investigated.
STRUCTURAL FEATURES OF CHROMIUM CARBID COATINGS OBTAINED BY THE MOCVD METHOD FROM THE COL “BARKHOS”
Authors: Krokhmal S.A. , Kazarinov Yu.G. , Zueva T.N.
Published: November 2021

Investigations of the structure and properties of gas-phase coatings obtained with the use of chromium organic liquid (COL) “Barkhos” have been carried out. The studies were carried out by the methods of nanoindentation, fractography, and X-ray photoelectron spectroscopy. It was found that such coatings have a two-level horizontallayered structure.
QUALITATIVE COMPONENT IN THE WORK OF PROCEDURAL ENTITIES AS A FACTOR OF EFFICIENCY OF CRIMINAL PROCEEDINGS IN BOSNIA AND HERZEGOVINA
Authors:   Faculty of Law, University in Travnik, employed State Agency for investigations and protection, Bosnia and Herzegovina, Karović Sadmir , Simović Marina ,   Secretary of the Ombudsman for Children of the Republika Srpska, Associate Professor at the Faculty of Law, University Apeiron Banja Luka
Published: November 2021

Every human activity, regardless of its nature, type and other specifics, strives to achieve the highest possible efficiency. In that sense, it is necessary to observe the tendency of the efficiency of criminal proceedings in terms of clarifying and resolving certain criminal matters, as well as making a court decision. The efficiency of the criminal procedure is directly manifested and articulated through the criminal procedure activities that are undertaken by the criminal procedure subjects during the realization of the criminal procedure task. The intention of the authors is to recognize, identify and emphasize the key or most important aspects of the qualitative component in the work of the main and secondary criminal procedure subjects on which the efficiency of the criminal procedure directly depends. Also, attention and interest are focused on the mutual relationship, interaction and opposition of two tendencies, namely tendencies of efficiency of criminal procedure and tendencies of protection of basic human rights and freedoms with special reference to meeting the standard of proof in different phases of undertaking criminal proceedings.
VOICE-BASED IDENTIFICATION AND CONTRIBUTION TO THE EFFICIENCY OF CRIMINAL PROCEEDINGS
Authors:   Faculty for Special Education and Rehabilitation, University of Belgrade, Otašević Jadranka , Otašević Božidar ,   University of Criminal Investigation and Police Studies
Published: November 2021

Today, forensic voice identification is a powerful tool in the fight against crime, in situations where it is necessary to identify a suspect or to acquit an innocent person. In this type of expertise, multidisciplinary approach is applied in which several scientific disciplines are included - linguistics, phonetics, acoustics, psychology, mathematical statistics, law and criminalistics. The perpetrator’s voice is characterized by pitch, volume, timbre, or tone of the sound produced i.e., a series of individual characteristics that make each individual's voice, regardless of the variations expressed, suitable for identification. Some of these characteristics are natural features, determined by hereditary and physiological factors, and some are acquired habits. The aim of this paper is to present the most commonly used procedures and methods of analysis-assessment of voice and speech in order to identify persons as well as more modern approaches to the analysis of the speech signal.
DYNAMICS OF THE CONTENT OF PHOSPHORUS MOBILE COMPOUNDS IN SOILS OF THE TRANSCARPATHIAN REGION
Authors: FANDALYUK А. , KOMAR I. , CHOPAK A.
Published: November 2021

The distribution of soils by the content of mobile phosphorus compounds in the soils of the Transcarpathian region according to the results of ecological and agrochemical survey conducted during the VIII - XI rounds (2001 - 2020) is highlighted. Keywords: soil, ecological and agrochemical survey, mobile phosphorus compounds, soil acidity.
STUDYING THE OUTPUT SELECTIVE MATERIAL OF POTATO ACCORDING TO RESISTANCE TO POTATO BLIGHT
Authors: HORDIENKO V.V. , KANAILO V.V. , KANAILO T.V.
Published: November 2021

The research results estimate the backcrossing of multispecies hybrids developed in the genetic resources laboratory at the Institute of Potato Growing of the National Academy of Agrarian Sciences of Ukraine, as well as at the Transcarpathian State Agricultural Research Station of the NAASU on the issue of resistance to potato blight. Artificial infection has been done by fungus inoculum Phytophthora infestans (Mont.) de Bary to multispecies hybrids of the intensively studied seedbed of 127 samples. A significant phenotype polymorphism of the samples’ resistance to the pathogenic agent has been determined. Furthermore, forms with high resistance to potato blight and economically valuable characteristics were singled out. Keywords potato, backcrossing of interspecific hybrids, resistance, blight, economically valuable characteristics.
RENEWAL OF PRODUCTIVITY OF DEGRADED HAYFIELDS AND PASTURES IN THE MOUNTAINOUS AREA OF THE CARPATHIANS
Authors: KOZYK V.M.
Published: November 2021

In conducting researches on the renewal of degraded grass on natural pastures by sowing the seed of legume grasses onto the non-cultivated sod by way of strip cropping, the amount of legume perennial grasses increased by 25-30%. This technology is promising in areas with sufficient rainfall, it allows to save 2-3 times more seed and 3-4 times less fuels and lubricants. Keywords: degraded grass, legume-grass mixture, soil and climatic conditions, crop capacity and fodder quality
Assessing Ethnophsiological Use of Spices and Condiment in Prepared Dishes in Bahir Dar city, Bahir Dar, Ethiopia: Ethnophysiological Qualitative Study
Authors:   College of Medicine and Health Sciences, Department of Biomedical Sciences, Bahir Dar University, Demeke Dessalegn , Getahun Biruk ,   College of Medicine and Health Sciences, Department of Biomedical Sciences, Bahir Dar University
Published: November 2021

Background: Spices and condiments are substances added to foods to enhance aroma and taste. Traditional preparation of spice and condiments increase food flavors and give value for indigenous knowledge. Methods: One houndred sixty nine informants were selected by using random sampling technique. Semistractured interview and prepared Question are were employed to collect pertinent data on the local use of spice and condiments. The data obtained were analyzed by using analytical tools commonly ordered in ethnobiologiacal studies like preference ranking, direct matrix ranking and paired wise compression. Result: Twenty four species of spice were found in the market. Eight condiments were identified in routinely prepared dishes. From the result of Paired comparison Allium sativum scores the highest use value in the preparation of spice and condiments. Preference ranking result also indicated that Red pepper is the most preferred condiment by the inhabitant of local community. This study also indicated that the indigenous knowledge in the preparation of spice vary with age groups with the elder more knowledgeable than youngsters. The indigenous knowledge also under threat as the young are not interested in the domestic activities. Conclusion: There is knowledge limitation (deterioration) in the younger generation. The younger generation keep to learn, preserve and maintain their ancestral wisdom with respect to the indigenous use of spice and condiments in the local resident.
ASSESSING THE MODERATING ROLE OF EDUCATIONAL QUALIFICATION IN JOB SATISFACTION AND TURNOVER INTENTION RELATIONSHIP OF BASIC SCHOOL TEACHERS: EVIDENCE FROM NORTHERN GHANA
Authors: Abukari Abdul Kahar , Alhassan Ibrahim
Published: November 2021

The emphasis on the Educational Qualifications (EQ) of employees, the demand for skilled labour and the professionalization of the occupational structure of teachers in general, have created a dilemma for employers and school authorities in retaining their competent and experienced staff and meeting their job needs on one hand, and increasing pressure to release them for higher edu-cational experience on the other. This paper examines the moderating role of teachers’ EQ in their Job Satisfaction (JS) and Turnover Intention (ToI) relationship in the Tamale Metropolis of the Northern Region of Ghana. The proposed model was evaluated based on valid data from 116 teachers obtained from a cross-sectional survey. To confirm whether EQ will moderate the JS and ToI relationship, a process macro (Hayes, 2018 v. 3.4) was run with mean cantering and 5000 bootstrapping. Regression Analysis was employed to determine the relationships proposed in the study. The results show a significant but inverse relationship between JS and ToI of teachers in the Metropolis. However, the EQ moderator function in JS and the ToI relationship was not support-ed. It was also found that the Teachers’ EQ had no significant effect on their ToI in the Metropolis. Empirically, the study extends our understanding of the constructs discussed. The paper also dis-cusses some managerial implications, and because there were some contextual limitations, direc-tions are also provided for future studies.
LIVELIHOOD EMPOWERMENT AGAINST POVERTY IN THE UPPER WEST REGION, GHANA: THE DEFIES AND GRIEVANCE REDRESS MECHANISM
Authors: Fuseini M. N.
Published: November 2021

Livelihood Empowerment Against Poverty (LEAP) is a social assistance initiative that aims to help people living in poverty and the needy change their condition. However, few studies have focused exclusively on defies and the grievance redress mechanism (GRM) associated with LEAP’s activity. GRM and LEAP defies are essential because they have the potential to reduce LEAP programme impacts. To this end, concurrent mixed methods was applied to study defies and GRM of LEAP. A total of 302 LEAP beneficiaries took part in the study. Data were gathered using a questionnaire and an interview guide. Chi-square, descriptive statistics, and thematic analysis were used to analyse the data. The major defies of LEAP were discovered to be related to beneficiary and administrative problems. Although GRM existed, it proved to be ineffective. Appropriate support and supportive programmes must be assured to ensure full benefits for beneficiaries, while defies under recourse must be dealt with quickly.
CAPACITY DEVELOPMENT APPROACHES FOR CHIEFS AND LOCAL GOVERNMENT AUTHORITIES IN GHANA: THE CASE OF THE ROYAL ACADAMY
Authors: Boateng K. , Afranie S.
Published: November 2021

Chiefs and local government authorities are instrumental in community development. However, the branding of chieftaincy by the post-colonial government as anachronistic and undemocratic and the removal of chieffs from local government structures to curtail their powers affected their chances to be abreast with the dynamics of modern development concepts and approaches. Though currently the chieftaincy institution boasts of educated elites, some are not conversant with laws and policies on local government. Language barrier is a challenge in some cases for collaboration between the two actors as some Assembly officials speak languages that are different from the local languages of communities in which they work. Additionally, local government authorities have been criticised for their low capacity level and their contributions to development is questioned. The study adopted qualitative approaches to examine capacity development approaches within chieftaincy and local government systems. Nineteen participants including chiefs, members of District Assemblies, key informants and local government officials were sampled through purposive and convienent sampling techniques. The study unearthed that majority of the participants were unaware about the Royal Acadamy, a capacity development facility for chiefs. Challenges affecting capacity development included lack of funds, change in government, traditional practices and customs, and elitism in chieftaincy. The paper concludes that capacity development can facilitate community development, and minimise conflict between chiefs and local government authorities. The paper recommends that the Ministry of Chieftaincy and Religious Affairs take steps to operationalise the commencement of activities of the Royal Acadamy.
Editorial
Authors: Teye Prof. G. A.
Published: November 2021

The first issue of volume 8 of the UDS International Journal of Development (UDSIJD) has been published.
A total of eight papers are included in Volume 8, Issue 1 of the UDSIJD. Seven papers cover Humanities whilst one in the Agricultural Sciences.
The UDSIJD has fully migrated its operations to an online journal management system and therefore, all authors, contributors, reviewers, and editors are to interact via the journal system. By this, it is imperative that one visits his/her dashboard regularly, to track updates to manuscripts and review.
The UDSIJD urges all authors and contributors to pay particular attention to the journal’s guidelines and adhere strictly to them. Also, comments from peer review are meant to improve the quality of the manuscripts and hence should not be personalized.
We encourage young academics, researchers, development practitioners, and entrepreneurs to submit original research across disciplines for consideration to be published in our journal. The UDSIJD strives to enhance scholarly communications with a development focus, on a regular and sustained basis.
The Editorial Team wishes to sincerely thank the University Management, authors, reviewers, and staff of the Journal and all those who in diverse ways have supported in making this issue of the journal a reality.
 
The Editor-in-Chief
Prof. G. A. Teye
International Trade and Economic Misery in African Countries with Low Human Development
Authors: Nwogwugwu Uchechukwu C. , Umeghalu Collins C.
Published: November 2021

Puzzled by the demeaning level of poverty most African countries continue to grapple with despite their extensive participation in international trade, the study attempts to examine the encumbrances that tend to impede African countries from optimally reaping the developmental gains inherent in partaking in international trade, which seems to also worsen the economic misery the inhabitants endlessly contend with. The System Generalized Method of Moments (System-GMM) estimation technique was used in the study which involves 17 African countries and spans from 1995 - 2018. While misery index is used to measure economic misery, the impact of international trade on economic misery is captured by means of its effect via economic misery, economic growth rate, balance of payment, total export, manufacture export and exchange rate. The results of the study reveal that balance of payments, total export, manufacture export, per capita GDP growth rate, exchange rate and lagged form of economic misery all have positive effect on economic misery. While the effects of total export, manufacture export, per capita GDP growth rate, and exchange rate on economic misery are significant, those of balance of payments and lagged form of economic misery are insignificant. While the study recommends that international trade be engaged strategically such that it results in favourable balance of payments, it also encourages the discarding of obsolete trade policies such as outright bans on importation of certain commodities. Bilateral trade agreements are recommended over multilateral trade agreements, since they are more mutually beneficial and binding on the parties involved
External Debt, Public Investment and Economic Growth in Cameroon
Authors: Ngangnchi Forbe Hodu , Joefendeh Roland
Published: November 2021

This study investigates the extent to which external debt and public investment contributes to economic growth in Cameroon - emphasising on how public investment modulates the effect of external debt on economic growth. Time series data spanning the period 1980-2018 obtained from the World Bank’s world development indicators are used, together with the Dynamic Ordinary Least Squares (OLS) approach to ascertain the nature of the long-run relationship between external debt, public investment and economic growth. Consistent with the debt-overhang and crowding-out literature, the study reveals a negative significant influence of external debt on economic growth in Cameroon. Results also reveal that there is a positive and significant direct effect of public investment on economic growth in the long run. Further results indicate that public investment and external debt positively and significantly engender economic growth. This is evidence that public investment is modulating the effect of external debt on economic growth in Cameroon. These findings suggest the need for developing country governments to create an enabling environment for private sector development, while accompanying external debt resources with domestic revenue mobilization by broadening the tax base - taxes on landed property being potential candidates