bluuebunny/crossref_metadata_2025 huggingface dataset:
Structural Behavior of Two Major Concrete Dams in Sri Lanka Under Earthquake Loads
Authors:   Sri Lanka Institute of Information Technology, Chandrasena Amila , Weerasekara Kesara ,   Sri Lanka Institute of Information Technology, Somaratna Nihal ,   Sri Lanka Institute of Information Technology
Published: October 2022

Dams are built for a variety of purposes including hydropower generation, irrigation, water supply, and flood mitigation. Concrete and earth dams are common types of dams in Sri Lanka. Concrete dams can be categorized as Gravity dams and Arch dams. Gravity dams are most common in Sri Lanka. Dams can also pose safety hazards. Failure of a dam can cause serious damages to both people and property downstream. One of the major threats to dams is earthquakes. They can have significant impacts on the stresses within the dams. In extreme cases this can cause even failures of dams. These possibilities can be investigated using finite element analysis. In this study Rantambe and Moragahakanda concrete gravity dams were selected for 2-D finite element analysis under the action of suitable earthquakes. For each case linear time history analysis was performed using SAP2000 software. The stresses were examined for potential failures. Important considerations in this process were selection of dams, selection of suitable earthquake records, and identification of an appropriate failure criterion. The selection of earthquake records was based on proximity and geological conditions. Koyna earthquake was used to develop suitable earthquake loadings. Peak ground acceleration was varied from 0.05g to 0.15g. Westergaard method was used to assign hydrodynamic loads. Coulomb-Mohr criterion was employed to investigate potential failures in concrete. Stresses in dam models during the earthquakes was scrutinized for potential failures. Significant stress increases were observed in some areas of the dams. These critical areas and corresponding values of earthquake parameters were identified. It was concluded that the dams were unlikely to suffer material failures under earthquake loads even with a peak ground acceleration of 0.1g (which is the value recommended for use for critical structures in the areas concerned). KEYWORDS: Concrete gravity dams, Finite element model, Coulomb-Mohr criterion, Time history analysis, Westergaard method
Support Vector Machine Based an Efficient and Accurate Seasonal Weather Forecasting Approach with Minimal Data Quantities
Authors:   Sri Lanka Institute of Information Technology, Chandrasekara S. , Tennekoon S. ,   Sri Lanka Institute of Information Technology, Abhayasinghe N. ,   Sri Lanka Institute of Information Technology, Seneviratne L. ,   Sri Lanka Institute of Information Technology
Published: October 2022

Climate change makes a big impact in our daily activities. Therefore, forecasting climate changes prior to its actual occurrences is important. Even though highly accurate weather prediction systems throughout the world are available, they require mass amounts of data exceeding thousands of data points to obtain a significant accuracy. This study was aimed at proposing a Support Vector Machine based approach to carryout seasonal weather predictions up to thirty-minute intervals, the results of which would be considerably effective with respect to predictions carried out with models trained with annual datasets. The model was trained utilizing a dataset corresponding to the district of Kandy which consisted of 136 samples, 20 features, and 5 labels. By means of carrying out numerous data preprocessing steps, the model was trained, and the relevant hyperparameters were optimized considering the grid search algorithm to yield a maximum accuracy of 86%, once tested via the k-fold cross validation. The performance of the Support Vector Machine was also then compared for the same dataset with that of the K-Nearest Neighbor algorithm which consumed relatively fewer computing resources. An optimal accuracy of 61% was observed for this model for a K-value of 27. This approach supported the concept of a Support Vector Machine’s ability to perceive time series forecasts to a relatively higher degree and its ability to perform effectively in higher dimensional datasets with smaller number of samples. As per the future work, the Receiver Operating Characteristic analysis is proposed to be carried out to evaluate the performance of the model and the dataset size is proposed to be further enhanced to a maximum of a thousand samples to yield the best performance results. KEYWORDS: Support Vector Machines, Principal Component Analysis, Receiver Operating Characteristic, Machine Learning, Weather Forecast, Hyperparameter Optimization
Development of Silica-Copper Nanocomposite for Water Purification
Authors:   Sri Lanka Institute of Information Technology, Angappan Sajeevan , Karunaratne Mudith ,   Sri Lanka Institute of Information Technology, Thambiliyagodage Charitha ,   Sri Lanka Institute of Information Technology, Usgodaarachchi Leshan ,   Sri Lanka Institute of Information Technology
Published: October 2022

Water pollution is one of the serious concerns across the world at the moment. Industrial wastewater significantly contributes to the negative impacts caused by water pollution. Textile industries discharge large amounts of effluents into water streams with little or no treatment of the discharge because wastewater treatment is an expensive process. Thus, there exists a need for a cheap and effective way to treat textile effluent that contains dyes before being discharged. A high purity silica-based Nano-adsorbent was synthesized by using rice husk as the commercially available main cheap precursor. Copper-loaded silica nanoparticles were successfully functionalized with 3-aminopropyl triethoxysilane (APTES) via the sol-gel pathway to enhance the adsorption performance of organic dyes from textile effluent. The performance of produced Nano-adsorbent was evaluated by using methylene blue as waste adsorbate. As synthesized nanomaterial was characterized by X-Ray Diffraction (XRD) and Fourier Transform Infrared (FTIR) spectroscopy, the XRD results confirmed the presence of silicon dioxide (SiO2) and paramelaconite (Cu4O3) as predicted. The FTIR confirmed the presence of Si–O stretching, N-H bending, C–H stretching, Cu–O stretching and O–H bending vibrations thereby suggesting the presence of SiO2, NH2 groups, CH2, Cu4O3 and physisorbed H2O. The optimum conditions for pH and adsorbent dosage were successfully evaluated for the adsorption process. The optimum pH at which the nanomaterial performed best was at pH 4. The optimum mass of the adsorbent that gave maximum adsorption performance was 20 mg. Kinetic studies revealed that the experimented data was in better correlation with pseudo-second-order kinetics. The outcome of this project would be of interest to textile industries looking for a cheap and effective way to treat textile wastewater. KEYWORDS: Adsorption, APTES, Methylene Blue, Nano adsorbent, Rice Husk, Silica, Sol-gel,
Causes for Death and Injuries in Construction Industry in Sri Lanka
Authors:   Liverpool John Moores University, Wijesekara Mudith , Fernando Piyumi ,   Liverpool John Moores University, Gunarathna Nishanthi ,   Sri Lanka Institute of Information Technology
Published: October 2022

The construction industry plays a vital role in the socio-economic development in any country. However, it has been recognized as one of the most hazardous industries in many counties around the world because of the nature of activities and tasks performed at construction sites. Similarly, presentday construction industry of Sri Lanka prioritizes and considers safety as a primary, complex issue due to its high impact on the industry. Accordingly, the aim of this study was to identify the causes for deaths and injuries in construction sites in Sri Lanka and identify actions to mitigate those accidents. The data collection was in the form of documentary review, semi-structured interviews, and questionnaire survey. This study found that the nine (9) most prominent types of accidents that have occurred in Sri Lankan construction sites include falling from heights and scaffoldings, falling debris or objects and machinery accidents. During the last 10-year period 2,135 accidents have been recorded in the construction industry, including both fatal and non-fatal accidents, among which 311 were fatal accidents. As per the study findings, during the period of 2010 – 2020, 14 fatal construction accidents were reported out of every 100 construction accidents. Usually, most of the accidents at construction sites are due to lack of safety at site, working without PPE, inadequate training and lack of supervision. Further, the study also recommends strategies to minimize the identified nine (9) most prominent types of accidents and to improve construction site safety. Findings of this research could help towards reducing the fatal and non-fatal construction accidents in Sri Lanka and to develop safe work environment in the local construction industry. KEYWORDS: Construction Industry, Deaths and Injuries, Construction Safety, Sri Lanka
Variation of Microwave Leakage Exposure Levels Close to a Microwave Oven with Load, Container Type and Time.
Authors:   University of Colombo, Suraweera Thushara , Jayaratne Chandana ,   University of Colombo
Published: October 2022

Nowadays people are living in a rush world and most people seek efficient methods to complete their day to day work with less time. Microwave ovens are the best option to cook foods as well as for reheating precooked foods. Microwave ovens use radio frequency (RF) electromagnetic waves around the frequency 2.4 GHz for cooking and reheating food by dielectric heating or high frequency heating. Many scientific reports have been confirmed that eating microwave food is not a risk, because radio waves cannot ionize foods. But the problem is exposing to the leakage microwave radiation when operating the oven. Authorized bodies such as International Commission on Non-Ionizing Radiation Protection (ICNIRP) as well as Federal Communications Commission (FCC) have been published limitations for exposure to these RF waves. The limited plane wave power density for a microwave oven is 50 W/m2 at any point 5 cm away from the oven. Over exposure to these RF waves with high plane wave power densities may lead to health effects such as cataracts in the eyes, infertility, and brain tumors. In this study, leakage microwave plane wave power densities were evaluated by using spectran HF6065 spectrum analyzer under three situations with newly brought microwave oven. In the first study variation of RF levels at 40 cm from the front glass of the microwave oven with the load (water) were evaluated, In the second study RF levels around the microwave oven for same load kept in plastic and ceramic containers were evaluated separately and, in the third study, time variation of the power density at a distance 40 cm in front of the microwave oven for a duration of 180 s was evaluated. Results in the first study show that negative correlation (r=-0.6136) between the load and leakage microwave emission around the oven as well as maximum average plane wave power density of (512.78 ± 0.01) mW/m2 with no load inside the oven and maximum average plane wave power density with the load is 195.06 ± 0.01 mW/m2 with 100 ± 1 g of load kept in a plastic container with mass 68 g. For the second study considerably low RF levels were recorded when using the ceramic container than plastic container. Results for the third study show that microwave emission around the oven is fluctuating rapidly with time and it can be varied between 0.01 mW/m2 and 108.48 mW/m2 . Evaluated maximum RF plane wave power density among all three studies was (677.84 ± 0.01 mW/m2 ) and this value is 1.35 % of maximum permissible leakage level for a microwave oven as well as it is found that frequency of the microwave radiation is also varying when it is operating. However, authors would like to request not to stay close to a microwave oven when it is operating, especially children and pregnant women because they are more sensitive for non-ionizing RF radiations. KEYWORDS: microwave ovens, radio waves, leakage microwave exposure, health effects
Converter Control for Integration of Renewable Energy into the Grid
Authors:   University of Manitoba, Canada, Annakkage Udaya
Published: October 2022

Generation of electricity using renewable sources of energy will be the only option available to us soon. This may happen within the next two decades. In the meantime, we make the transition form traditional synchronous generator driven power systems to fully renewable energy-based power systems where the energy source is integrated through power electronics converters. We must start thinking in a new way. This presentation will address the technological challenges associated with connecting renewables to the grid through converters and the options available to meet those challenges. While the ability of the converters to respond fast is an obvious advantage, unlike the synchronous generator, it does not have a rotating mass that stores kinetic energy. The short-term overcurrent rating of the converter is much less than that of a synchronous generator unless the converter is overdesigned. Addressing these engineering challenges will be discussed in the presentation.
Որոշ գեղազարդ ծառերի տնկիների տերևների բետա-ռադիոակտիվությունն Արարատյան դաշտի և Դիլիջանի անտառային գոտու պայմաններում
Authors: Ղալաչյան Լ. Մ. , Մայրապետյան Խ․ Ս. , Թադևոսյան Ա. Հ. , Հակոբջանյան Ա. Ա. , Էլոյան Ս. Ա. , Եղիազարյան Ա. Ս. , Ղահրամանյան Ա. Ա. , Վարդանյան Ա.Պ.
Published: October 2022

The specificities of the accumulation of the gross β-radioactivity and the controlled technogenic radionuclides (RN) 90Sr (T1/2=28.6 years) and 137Cs (T1/2=30.1 years) in leaves of several decorative tree saplings (sophora japonica, biota orientalis, cupressus sempervirens, fagus orientalis and carpinus caucasus) were studied in area of Institute of Hydroponics Problems (IHP) (zone of Armenian Nuclear Power Plant (ANPP) with radius of 30 km) and in Dilijan forest experimental station (DFES). It was revealed that the leaves of the saplings of sophora japonica and biota orientalis prevailed in gross β-radioactivity those of cupressus sempervirens in area of IHP and of fagus orientalis and carpinus caucasus in DFES. Therefore, decorative broad-leaved sophora japonica and conifer biota orientalis that were introduced into Armenia are suggested to be used in green building as natural accumulators of RN to create parks, green zones and forests. It may have important ecological value.
Սև կեռնեխների (Turdus Merula Linnaeus, 1758) բնադրման էկոլոգիան Ստեփանակերտ քաղաքի պայմաններում
Authors: Հայրապետյան Վ. Տ. , Այդինյան Լ. Գ.
Published: October 2022

The ecology of nesting common blackbirds in the territory of Stepanakert city, Artsakh are presented. Although common blackbirds are considered typical forest birds, due to their high ecological flexibility, they easily adapt to urban areas. Through observations, we found out that common blackbirds use about 23 species of plants and artificial structures for nesting in different parts of the city. Nests are built at an average height of 0,5-7 m from the ground, and both natural and anthropogenic materials are used as building materials.
Intraoperative management of REBOA: experiences and lessons learned from the London Trauma Network – 10 points for consideration
Authors: Chana M , Davenport R , Tai N
Published: October 2022

Non-compressible torso haemorrhage resulting from vascular injury is the leading cause of death in trauma patients. Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) provides temporary haemorrhage control, permits transfer for definitive care and is becoming established in trauma systems throughout Europe. Drawing on experience of managing these critically injured patients, it is clear that involvement of vascular surgeons is highly important. Surgical management of vascular injury and of potential procedural risks and distal ischaemia associated with REBOA is essential for delivering time critical, safe care. We share 10 key points for intraoperative REBOA management for the vascular surgeon, wider surgical team and the endovascular resuscitation team to jointly consider.
Meningkatkan Kinerja Karyawan Dengan Budaya Organisasi, Motivasi Kerja Dan Kompensasi Pada The Mirah Hotel Bogor
Authors: Setyawaty Opiek , MH Nainggolan Bonifasius
Published: October 2022

Penelitian ini bertujuan untuk mengetahui pengaruh budaya organisasi, motivasi, dan kompensasi terhadap kinerja karyawan. Penelitian dilakukan pada The Mirah Hotel Bogor. Penelitian ini menggunakan metode survey melalui penyebaran kuesioner.  Populasi penelitian adalah seluruh karyawan tetap dan kontrak di The Mirah Hotel Bogor sebanyak 102 orang. Teknik sampling yang digunakan adalah teknik sampling jenuh yang melibatkan  seluruh karyawan, sebanyak 82 orang. Ujicoba dilakukan dilakukan terhadap 20 orang karyawan lain. Data dianalisis dengan menggunakan regresi linier berganda.  Hasil penelitian menunjukan bahwa motivasi kerja, budaya organisasi dan kompensasi berpengaruh positif dan signifikan terhadap kinerja karyawan, baik secara secara parsial maupun simultan.  Hal ini menandakan ketika ketiga variabel mengalami peningkatan maka kinerja karyawan akan meningkat
Upaya Meningkatkan Kemampuan Siswa Dalam Reading Comprehension Teks Narrative Melalui Model SQ3R di Kelas VII-E SMPN 1 Cikembar Kabupaten Sukabumi
Authors: Sri Jatmika Susanto
Published: October 2022

Joint learning activities can help spur active learning. Teaching and learning activities in the classroom can indeed stimulate active learning, but the ability to teach through small group collaboration activities will allow to promote active learning activities in a special way. What students discuss with their friends and what students teach their friends enable them to gain understanding and mastery of the subject matter. The aims of this research are: (a) Want to know the improvement of English learning achievement after the implementation of cooperative learning. (b) Want to know the effect of learning motivation B. English after the implementation of cooperative learning. (c) provide an overview of appropriate learning methods in an effort to improve student achievement and make students active in teaching and learning activities. This research uses action research three rounds ofeach round consists of four stages, namely: design, activities and observations, reflection, and revision. The targets of this study were students of class VII-E of SMPN 1 Cikembar, Sukabumi Regency, in the 2022/2023 academic year. The data obtained in the form of formative test results, observation sheets of teaching and learning activities. From the results of the analysis, it was found that student achievement increased from Pre-cycle to Cycle II, namely Pre-cycle (68.42%), Cycle I (81.58%), Cycle II (94.74%). The conclusion of this study is that cooperative learning methods can have a positive effect on student achievement and motivation in class VII-E SMPN 1 Cikembar, Sukabumi Regency and this learning model can be used as an alternative learning English
INTERNATIONAL EXPERIENCE OF COMBATING CORRUPTION
Authors: Mogunova M. M. , Shut O. A. , Balandin A. L. , Baimukhanova D. A.
Published: October 2022

The article examines the experience of fighting corruption in Singapore, Denmark and New Zealand. Having considered the anti-corruption programs of these countries, it is possible to draw up an effective program to combat corruption offenses. Thanks to the effective fight against corruption carried out in these countries, they managed to take the first lines in the ranking of the level of perception of corruption among the population. Many developing countries can use the example of these countries to choose the most efficient methods for combating corruption offenses, since they have already shown their effectiveness, which can be traced to the examples of Singapore, Denmark and New Zealand.The relevance of this article lies in the fact that the fight against corruption is of great importance for the favorable development of all states around the world. States need to constantly update their anti-corruption legislation in order to successfully combat corruption. Since only a high-quality anticorruption policy is capable of giving the state an opportunity for further growth.
APPLICATION OF EXTRASOL ON SOFT WHEAT IN THE CONDITIONS OF KOSTANAI REGION
Authors: Oleinik A. T. , Chayukova N. A.
Published: October 2022

Studies have been carried out to determine the increase in the resistance of soft wheat variety Omskaya-36 to diseases from the use of the microbiological preparation Extrasol: 2020 - Kostanay district, I-II natural-climatic zone; southern chernozem, heavy loamy, soil solution reaction pH - 8.3, humus content 3.3%; 2022 - Karabalyk district, I-II natural and climatic zone; ordinary chernozem soil solution pH - 7.2, humus content 3.5%. To determine the effectiveness of the microbiological preparation Extrasol on the restraint of the spread and development of diseases, field plots were selected with annual sowing of spring wheat (monoculture).

It was determined that the use of the microbiological preparation Extrasol reduced the suppression of the most common diseases in the conditions of the Kostanay region on spring wheat, and timely treatment made it possible to block the development of pathogenic diseases, which ensured the further development of plants.
WAYS TO OPTIMIZE THE PHYSICAL CULTURE AND SPORTS ACTIVITIES OF STUDENTS OF HIGHER EDUCATIONAL INSTITUTIONS
Authors: Kudykenov A. K. , Kuzmenko D. Yu. , Isataev Zh. B.
Published: October 2022

To optimize the process of physical culture and sports in higher educational institutions, a number of issues directly related to improving the health of each student are provided. The purpose of the research is theoretical systematization, development and practical testing of ways to optimize the physical culture and sports activities of students of higher educational institutions, substantiation of recommendations. The methods of analysis, pedagogical control, comparison of scientific and methodological literature and methodological guidelines on the research topic were used. To achieve the results of the theoretical analysis of scientific and methodological literature, principles and new approaches, methods and technologies that contribute to effective implementation are needed. Optimization of physical education is a conscious choice of the best forms, specific conditions and approaches to the construction of lessons and the educational process aimed at building a pedagogical process based on the laws and principles of theories and methods of physical education. In order to increase the effectiveness of physical education, it is necessary to introduce into programs not only proven methods, but also new organizational methods. Sports-oriented programs, competitions, and observational results aimed at in-depth study of individual sports and modern motor systems for students allow them to form a stable need for classes and evaluate their abilities. He actually trains national teams of universities and contributes to the formation of healthy youth. Thus, the choice of a sports-oriented curriculum in the organization of the educational process and the adjustment of the content of the work program meets the needs of students and provides new opportunities. To further improve physical education programs and the use of sports-oriented technologies, it is necessary to increase the physical culture and sports interests of students, increase their motor activity, and give new motivation to the lifestyle. All this makes it possible to determine the priorities of the choice of learning technologies. The most important conditions for optimizing the process of physical education, contributing to the involvement of students in physical education, are the actualization of the system of significant needs, motives, interests and a principled approach to the didactic content of the lesson content. The teacher should analyze in detail the previously used and applied methods of influence when involving students in physical activity and stimulate the ability to actively respond to the educational influences available in it.
The Role of Lingo-Cultural Identity in Nation Building: A Case Study of Sindhi Language
Authors: Mugheri Nadir Ali , Yasmeen Farhana , Indhar Sohaib Ahmed
Published: October 2022

Language and culture are allied and interrelated with each other as language carries culture with it while culture depends upon language. The mother language is also one of the most striking elements of any individual's life. At the same time, it also works as an integral tool in the uplift of any nation's future generations. Native language (L1)not only plays the main role in the communication process but also establishes an identity to an individual's entity as well as personality building, a certain class of the masses, and a nation at large. Mother language is a powerful element that engineers the psychological system or structure of an individual to secure the values, norms, history, and trends of a nation. This study has been carried out to focus and discuss the four significant grounds which include the development of a psychological hierarchy of a person with the help of mother tongue, nexuses of culture with mother language, the significance of mother tongue in primary education, and prevailing issues and their relevant solutions. Lastly, it is extracted that the first three elements establish basics and enclose the entire life of a person whereas; the last one nurtures as well as develops one's character, disposition, role, and part to ensure the progress of any nation through the mother tongue.
ABORDAGEM MATEMÁTICA NO ENSINO DE FÍSICA E A TEORIA DOS CÓDIGOS DE LEGITIMAÇÃO
Authors: Bocheco Otávio , De Souza Cruz Frederico Firmo , Da Silva Livramento Machado Sandro
Published: October 2022

O objetivo desta pesquisa é apresentar o potencial da Teoria dos Códigos de Legitimação (TCL), quanto à composição de um dispositivo de tradução, voltado para a construção de perfis semânticos, subjacentes à abordagem Matemática no ensino de Física. Defende-se o processo de matematização como uma construção híbrida entre significados tipológicos (aspecto nominal) e significados topológicos (aspecto relacional). Princípios organizacionais de um discurso de matematização no ensino de Física que seriam uma espécie de códigos semânticos, condensados em estruturas matemáticas, como , por exemplo, que, quando revelados ou manifestos, permitiriam traçar um perfil semântico do discurso matematizador, dentro de um espectro denominado técnico-estruturante. Tal revelação é possível mediante o conceito de Densidade Semântica, presente na TCL e que diz respeito ao grau com que o conhecimento ou suas complexidades estão condensados em símbolos. Através de níveis de DS, baseados nos significados nominais e relacionais, apresenta-se um dispositivo de tradução, bem como a sua aplicabilidade na análise do discurso de matematização da segunda Lei de Newton - , presente num livro didático de Física.
EDUCAÇÃO PARA O CONSUMO: REPRESENTAÇÕES SOCIAIS DE PROFESSORAS DE EDUCAÇÃO INFANTIL
Authors: Bezerra Machado Laêda , Pena de Oliveira Danielle
Published: October 2022

Este artigo analisa as representações sociais de educação para o consumo, construídas por professoras de educação infantil. Trata-se de um estudo de campo fundamentado na abordagem qualitativa. Um questionário aberto foi respondido por 108 professoras de instituições públicas e privadas de educação infantil. Os resultados indicam que as professoras objetivam a educação para o consumo em práticas conscientes e responsáveis, voltadas para o suprimento de necessidades. Essas representações estão ancoradas no não desperdício. Em contrapartida, o incentivo ao consumo pela escola não é reconhecido pelas docentes como educação para o consumo. Inferimos que a preocupação das docentes não é tanto com o incentivo ao consumo, mas com as situações de exclusão e constrangimento que ele gera. Face aos resultados, sinalizamos para as instituições formadoras de professores que incorporem a discussão e problematização acerca do consumo às práticas curriculares e formação docente.
PENGARUH CAPITAL INTENSITY, SALES GROWTH DAN KEPEMILIKAN INSTITUSIONAL TERHADAP PENGHINDARAN PAJAK PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BEI PERIODE 2017 – 2021
Authors: Azis Azzy Abdul , Sari Intan Rahma
Published: October 2022

This research seeks to investigate and give empirical data about the partial and simultaneous effects of capital intensity, sales growth, and institutional ownership on tax avoidance. The population of this research consists of food and beverage firms that are listed on the Indonesia Stock Exchange. This inquiry utilizes previously gathered information. Using a method of stratified sampling, data was acquired. This investigation's sample consists of twelve firms. Five years are being discussion, from 2017 to 2021. Multiple linear regression analysis with Eviews version 9 is the method of data analysis used here. According to the study's findings, there is a high correlation between tax evasion and the amount of business capital intensity and institutional ownership, but not with sales growth. Tax evasion is significantly influenced by concurrent study on topics like sales growth, capital intensity, and institutional ownership.
Liquidity Pricing Risk and Crude Oil Market: Analyzing the Liquidity as a Priced Factor in Yields during the Pandemic Uncertainty
Authors: Saleemi Jawad
Published: October 2022

The liquidity risk can impact the transaction execution with the significant losses. In the crude oil market, this work examines the market liquidity as a priced risk factor in yields. This area may considerably matter to be investigated, while an unprecedented slump is observed in the crude oil price during the pandemic period. The analysis is derived through the time series and multivariate algorithm methods. Pre-pandemic uncertainty and in the era of easing coronavirus-related restrictions, the liquidity was not priced in returns of the same trading session. In the period of economic restrictions, the crude oil trading was exposed to the liquidity risk for the same trading session. This risk was compensated by a premium return in environments of price uncertainty. In this debate, the liquidity risk was a priced risk factor in yields. Evidence from the VAR findings reports, that the past time series of the liquidity was priced in returns before the pandemic crisis takes place. Post-easing economic restrictions and in the era of pandemic-related restrictions, the past times series of the liquidity was not priced in returns. This quantification of the market liquidity may be more applicable for the liquidity risk management in the crude oil market.
MogoDB: A NoSQL Database with Amazing Advantages and Features
Authors: J Jyothi
Published: October 2022

The extremely compressed data stores on non-relational database management systems, commonly referred to as NoSQL data stores, which facilitate the management of data for internet user programs, do not now provide this feature. Some of the words that come to mind are data security, encryption methods, MongoDB, and NoSQL. Without negatively compromising the database's performance in terms of speed or memory utilization, the appropriate encryption methods utilized to various essential data fields provide data protection. This is possible because the right encryption methods are being used. Databases are often used to manage different types of data since document-oriented and unstructured data are typically stored there. These databases include Cassandra, MongoDB, CouchDB, Redis, Hyper-table, and others. They must provide strong security and safeguard users' private data when it is in use or at rest because they are open source. There is a need for a single solution that may enhance data transmission security by offering an improved encryption technique that expedites operations and consumes less memory when managing databases.Today's IT growth is attributed to the development of more data-intensive applications. Due to stringent limitations on data structure, data relations, and other factors, relational databases do not allow us to work with huge data sets or maintain high volume databases. Unstructured data from many industries, including a variety of forms, must be processed and stored in databases. Thus, NoSQL types offer solutions to a number of problems associated with huge data bases. Largely because of benefits like flexibility and horizontal scalability, NOSQL (Not Only SQL) is in demand. This essay explores many NoSQL database types, such as MongoDB, CouchDB, HBase, Cassandra, etc.
"Review of Literature for Machine and Deep Learning in Human Posture of Ergonomics"
Authors: B Shahida
Published: October 2022

In the realm of human-computer interaction, one of the hottest topics right now is the utilization of skeletal data for the purpose of human posture detection. Both the local relationship between the joints and the global spatial position of the joint are taken into consideration when determining the angle and distance attributes of a joint. After that, the method of rule learning is combined with the method of bagging and the method of random subspace to create unique samples and features for the purpose of improving the classification performance of sub-classifiers for a variety of samples used in human posture classification. In the final step of this evaluation, the performance of our proposed technique is assessed using four human posture datasets. The results of our experiments demonstrate that our algorithm is able to accurately recognize a diverse range of human postures, and this improvement also results in outputs that are easier to read. Deep learning is a subfield of machine learning and artificial intelligence that attempts to model the way in which humans pick up new information. In its most basic form, it is a neural network with three or more layers. Deep learning helps in the development of a wide variety of artificial intelligence applications, which in turn helps in the improvement of automation, the performance of analytical and physical activities without the need for human participation, and therefore develops applications that are disruptive to existing methodologies. Deep learning has several applications, and one of these is the detection of human poses, which traditionally would have been done using more conventional methods.
"Understanding Multipurpose Sieving Machine Through Literature Review"
Authors: Begum Shaida
Published: October 2022

This article is an overview of a Multi-purpose Sieving Machine, which is a machine that is typically utilized in the manufacturing industry. Because of the improvements in technology, every task that can be performed in our world can now be done more quickly and with less effort. The goal of every industry today is to increase their production rate while maintaining high product quality and standards at a lower overall cost. We have developed a mental image of a device that is capable of performing a number of distinct tasks concurrently and without much difficulty. In this particular piece of machinery, the main shaft is driven by a motor, and the slider-crank mechanism, which is responsible for sawing, is directly attached to the motor. The table is secured with a crank that, with the assistance of a DC motor, rotates the tray to vibrate it and act as a divider. The table is held in place. A pulley mechanism is coupled to the motor's main shaft, which is the shaft that is driven by the motor. As a direct consequence of this, the Sieving Machine was conceived of and created to serve the needs of industrialists and farmers operating on a global scale. The capacity to quickly and easily separate objects according to the mesh is one of the benefits, along with a reduction in costs linked to the utilization of electricity, an improvement in production rate, and the ability to generate less space, amongst other advantages. Sieving mesh, grinding, a single slider crank mechanism, agricultural use, and other related topics are included here.
A Deeper Examination of NoSQL Database Models and Characteristics
Authors: Begum Shahida
Published: October 2022

The main problem has been managing databases because they are continuously expanding quickly and getting more complicated in terms of volume, variety, and velocity. Currently, Relational Database Management Systems (RDMS), also known as SQL, or traditional search engines are primarily used to manage and utilize data collection. Due to their highly semantic properties and applications, relational databases have emerged as powerful and superior during the previous two decades. The handling of a high volume of data and the variability in data type and structure has become a laborious task since Big Data entered the IT industry. Relational databases are inadequate to handle such big data due to their rigid data limitations, structure, relations, and other factors. As a result, data aggregation is rendered impossible. NoSQL databases offer a practical and understandable foundation for combining massive amounts of data, structures, and interactions. Data modeling and migration are now needed in order to define the issue. There isn't yet a tool for switching from relational to no-SQL databases. For this migration, relational (SQL) database queries must be converted to NoSQL database queries. Since relational databases (RDBMS) have found it difficult to keep up with modernization, NoSQL has emerged as the most practical database. This essay aims to highlight and assess the applications of NoSQL, the notion of NoSQL data modeling, and the NoSQL database migration procedure. NoSQL, NoSQL Roadmap, Data Modeling, ETL Approach for Data Migration, Data Loading, and Data Extraction.
The Strategic Approach to Countering Cybercrime (SACC) framework: Helping countries to tackle the growing threat to their economic and national security from cybercrime
Authors: Hakmeh Joyce , Saunders Jamie
Published: October 2022

Cybercrime is a growing threat to global prosperity and national security around the world. Recent attacks against critical national interests in the US, Costa Rica and Ireland, among others, have shown the serious impact that malicious cyber activity can have. As the global threat of cybercrime continues to escalate in scale and complexity, both within and across borders, the need for countries to take a collaborative and strategic approach is clear. Countering cybercrime effectively requires a unified effort, with relevant stakeholders joining forces to assess the scale and nature of the threat, establish priorities, identify the optimal mix of interventions, evaluate the impact of adopted strategies, and adapt responses. This research paper presents a framework for a strategic approach to countering cybercrime – an adaptable toolkit designed to help national authorities and practitioners to meet the challenge.
The Effect of Aerobic and Anaerobic Exercises in Some Functional Variables During Effort for Short- and Long-Distance Runners
Authors: Hammadi Mabdar Mutalib Khalaf
Published: October 2022

The development in various sports events is the result of scientific studies and research based on the sound scientific foundations in all the sciences involved in the field of sports, the results of which helped to lay new foundations for the training process that make the work on track, and from these sciences is physiology, which has a great impact in achieving sports achievement by recognizing the nature of the work of the functional organs and their efficiency and adaptations due to the nature and type of training practiced when For the athlete as well as the rationing of training loads according to the production of energy systems operating in the type and nature of the sports activity practiced.
Use Of Academic Social Networking Sites Among Lecturers In State Universities
Authors: Anyim Wisdom O.
Published: October 2022

The study investigated the use of Academic Social Networking Sites among Lecturers in State Universities in South East, Nigeria. The study adopted the descriptive survey design. Four (4) research questions guided the study. The population of the study comprised 200 Lecturers in the five State Universities spread across the five States of South-East, Nigeria. The entire 200 questionnaires were administered to the respondents; all were filled, returned and used for the study because the entire population size was manageable. The major findings of the study were that Google Scholar and ResearchGate were mostly used by the Lecturer. Findings showed that the purpose of using Academic Social Networking Sites is for Knowledge Sharing and Downloading of Articles. The reason Lecturers upload publications in the Academic Social Networking Sites are for Citations, Information sharing and increasing of Views/Reads. The finding also revealed that majority of Lecturers access Academic Social Networking Sites Multiple times a day and also Daily. Based on the findings, it was recommended that Lecturers should explore other Academic Social Networking Sites due to their potentials in facilitating research activities, information sharing, collaboration among researchers, knowledge updates and so on.
Performance Contexts Of Rituals In Transition: The Ikeji Masquerade Festival Of Arondizuogu As Paradigm
Authors: Asigbo Prof. Alex C.
Published: October 2022

This study is predicated on Harrison’s (1913) view that “when ritual wanes, art waxes”. It is therefore an attempt to record and study the Ikeji Masquerade Festival of Arondizuogu of South East Nigeria in order to discover the relationship between tradition and talent as well as how a communal ritual performance can transmute into individual aesthetics and mercantile art. With the negative connotations of the word “Ritual” among the unenlightened, it has become pertinent to conduct a study into ritual performances so as to dispel these untoward cleavages as well as tap into the healing and expiating values of ritual. Ritual performances may therefore provide answers to the ongoing investigations into “theatre as therapy” which the French man Antonin Artaud had tried to postulate in his “Theatre of Cruelty”. As is obvious, the frontiers of performance studies get expanded by the day; hence there is need to evolve a new aesthetics distinct from the orthodox critical canon of looking at ritual performances as enactments that must tell recognizable stories. As usual, performance contexts most times, mediate on the content hence the ritual content of these performances in transition get watered down.
Algorithm for Finite Family of Variational Inequality with Fixed Point of Two Non-expansive Mappings
Authors: Swami Monika , Rathee Savita
Published: October 2022

In the recent work, a new hybrid technique for computing the common solution of fixed point of a finite family of two non-expansive mapping and variational inequality problem for inverse strongly monotone mapping in a real Hilbert space is provided. We also demonstrate the convergence of the hybrid approach using an example.
Enhancing Performance Using New Hybrid Intrusion Detection System
Authors: Ratih Hafsarah Maharrani
Published: October 2022

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.
A DIGITAL PRINTING APPLICATION AS AN EXPRESSION IDENTIFICATION SYSTEM.
Authors: Fachrurazi Fachrurazi  , Ashari Imamuddin
Published: October 2022

Human Computer Interaction (HCI), a growing research field in science and engineering, aims to provide a natural way for humans to use computers as tools. Humans prefer to interact with each other mainly through speech, but also through facial expressions and gestures, for certain parts of the speech and displays of emotions. The identity, age, gender, and emotional state of a person can be obtained from his face. The impression we receive from the expression reflected on the face affects our interpretation of the spoken word and even our attitude towards the speaker himself. Although emotion recognition is an easy task for humans, it still proves to be a difficult task for computers to recognize user`s emotional state. Advances in this area promise to arm our technological environment by means for more effective interactions with humans, and hopefully the impact of facial expressions on cognition will increase rapidly in the future. Will do. In recent years, the adoption of digital has increased rapidly, and the quality has improved significantly. Digital printing has resulted in fast delivery and needs-based costs. This article describes a sophisticated combination classifier approach, an empirical study of ensembles, stacking, and voting. These three approaches were tested on Nave Bayes (NB), Kernel Naive Bayes (kNB), Neural Network (NN), Auto MultiLayer Perceptron (Auto MLP), and Decision Tree (DT), respectively. The main contribution of this paper is the improvement of the classification accuracy of facial expression recognition tasks. In both persondependent and nonpersondependent experiments we showed that using a combination of these classifier combinations gave significantly better results than using individual classifiers. It has been observed from experiments that the overall voting technique by voting achieves the best classification accuracy.
Analysis rendezvous-based techniques relate to power conservation
Authors: Mohd Wazih Ahmad
Published: October 2022

Power conservation is a vibrant area of research on wireless sensor networks. Several research papers have shown that using mobile sync in the sensor field, which collects data from sensor nodes via single or multi-hop communication, can save significant energy. However, sinks move slowly, which increases sensor network delays, especially in delay-sensitive applications. To address this issue, various rendezvous-based techniques are described in which a subset of sensor nodes are selected from the field as rendezvous points (RPs). The remaining nodes transfer the captured data to the next RP, where the data is buffered. The RP is then used to build a path for the mobile sink to tour and collect the buffered data. This article describes various rendezvous-based techniques and analyzes their strengths and weaknesses in terms of energy savings.