bluuebunny/crossref_metadata_2025 huggingface dataset:
Feasibility of a Thrust Control Mechanism by Regulating the Flow at the Engine
Authors: Kataria Deepak
Published: June 2022

Abstract: This work is focused on performance analysis of a turbojet engine with an inlet flow control mechanism for same thrust values. Developed a real-time turbojet engine integrating aerothermodynamics of engine components, principles of jet propulsion and inter component volume dynamics represented in 1-D non-linear unsteady equations. Performance parameters of the engine are analyzed with the increase in compressor pressure ratio. Specific fuel consumption, specific thrust, component pressure ratios, thermal and propulsive efficiencies are the performance parameters of the engine that are analyzed on the model with reduced inlet pressure. All simulations will be done on MATLAB Tool.
IV Drip Monitoring and Control System
Authors: Bandari Sumalatha
Published: June 2022

Abstract: Intravenous Drip System is used mainly in hospitals for patients who were dehydrated, nutrient deficient or unable to take medications orally. In our current medical care system, monitoring of patients in a hospital throughout the day is a tiresome process. Sometimes doctors or nurses are too busy, so they cannot monitor each patient. This causes many problems. The health related work should be done properly and with accurate manner. An example of such type of work in our hospital is injecting saline or intravenous fluids into the vein of patient. If the drip system is not monitored on time, it will cause problems like backflow of fluid, blood loss etc. In order to reduce the workload of nursing staff and to overcome such critical situation in the area of an intravenous drip monitoring system, we proposed a system called IV Drip Monitoring and Control System.
Framework for Implementing Load Balancing Within Cluster in Underground Mining Environments
Authors: U Namrutha
Published: June 2022

Abstract: Underground mines are more hazardous in nature and always contain unsafe for their workers. Underground mining causes huge losses due to accidents and disaster. There is the need to develop an effective, secure, reliable and low-cost surveillance and safety system in underground mine environments. Wireless Sensor Networks (WSNs) are increasingly being used for such application. Since wireless sensor nodes are highly energy constrained devices and they have limited battery life due to various constraints of sensor nodes. Therefore, optimal usage of node energy is the major challenge in wireless sensor networks. Clustering of sensor nodes is an effective method to use the node energy optimally and prolong lifetime of such energy constrained wireless sensor networks. Here we propose a framework for load balancing within clusters in the underground mine environment. The proposed clustering algorithm ensures balanced size cluster formation and it has been proposed to achieve balanced energy consumption among nodes. This project aims to give a secure and efficient communication for the underground are using these respective sensors and here a concept of cluster and their rotation is implemented so that the loss of signals can be restricted and helps in a secure communication
A Data Mining Based Model for Detection of Fraudulent Behaviour in Water Consumption
Authors: Sathwik Alavala
Published: June 2022

Abstract: Drinking water fraud is a major issue for water delivery businesses and authorities. This behaviour results in a significant loss of income and is responsible for the bulk of non-technical losses. Finding appropriate criteria for detecting fraudulent behaviour has been a prominent focus of research in recent years. Intelligent data mining methods can be used by water delivery companies to detect fraudulent activity and reduce losses. This study looks into the usage of two classification techniques (SVM and KNN) to discover suspicious water fraud clients. The main purpose of this research is to assist the Yarmouk Water Company (YWC) in Irbid, Jordan, in overcoming their earnings shortfall. The SVM-based technique uses customer load profile attributes to expose known abnormal behaviour.
A Comparative Study on Energy Efficient Adders
Authors: M Dr. Nayeemuddin.
Published: June 2022

Abstract: The significance of addersub- systems is handily comprehended with the resource of the usage of a mastermind.. Off the engineers are incorporating disquisition with them with the useful resource of using integrating new design patterns to smash rationality movement as lots because of the verity the circuit and drop reduction. Adder experience- models in numerous operations like MPs, DPs,etc., specifically wherein the bottoms and bones gesture ie double is being reused. therefore it gives feasible consequences for low energy dissipation with the resource of the operation of the use of CMOS withinside the appearance significance of adder, in this paper broached some makeshift substitute arrangements that consists of properties tracts a good deal broadly less transistors along elastic expanse and the transistors to apply the styles at the aspect of timer gating, transistors along further thresholds, and widening the length of the transistors are numerous strategies to reduce the stationary energy indicator
An Online Verification System of Employee Classification using Machine Learning Approach
Authors: S Dr. Manishankar
Published: June 2022

Abstract: Over years there have been an extraordinary need of simple and abstained method for check result/declaration to diminish the level or testament falsification and to facilitate the pressure and furthermore save the hour of authentication confirmation which is finished physically today, a business or anyone concern should come or send agent to secondary school to confirm a particular endorsement, some business never did and this has come about on tolerating produce endorsement. Observing appropriate possibility for an open job may be an alarming assignment, particularly when there are many applicants. It can block group progress for getting the legitimate individual on the appropriate time. A robotized method of "Resume Classification and Matching" could truly facilitate the dreary course of fair screening and shortlisting, it would unquestionably expediate the competitor determination and dynamic cycle. This framework could work with an outsized number of resumes for first characterizing the appropriate classifications utilizing different classifier, whenever grouping has been done then according to the work portrayal, top up-and-comers could be positioned utilizing content-based suggestion, utilizing cosine similitude and by suing KNN to recognize the CVs that are closest to the given expected set of responsibilities.
Detection of Breast Cancer Using Machine Learning Algorithms
Authors: Jain Prithviraj
Published: June 2022

Abstract: Breast Cancer is one of the most frequently occurring cancers in women. Cancer rates are increasing in almost every region around the world. Early detection of cancer is the most efficient way to prevent the deaths caused due to it. Currently, the most commonly used tests for the detection of cancer are Mammograms, Breast Ultrasound and Breast MRI. These techniques have their own disadvantages which include the risk of false detection or no guarantee that all cancers will be detected. It is crucial to use alternative methods that are easier to implement and produce more reliable results. The solution is to use various Machine Learning algorithms to overcome the disadvantages of traditional techniques. This paper aims to propose a prediction model using Machine Learning classifier algorithms like Naïve Bayes (NB), Logistic Regression (LR), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM). The performance of the various classifiers is compared in terms of accuracy, precision, and recall and the best classifier for the detection of cancer.
Covid-19 Prediction Using Artificial Intelligence Techniques
Authors: Samsani Surekha
Published: June 2022

Abstract: The Covid-19 epidemic is one of the most serious worldwide health crises in recent years, having far-reaching repercussions for all civilizations throughout the world. Because of the virus's high contagiousness and fatality rate, the cost in terms of human lives lost is enormous. Millions of individuals have been infected, and many of them require ongoing care and monitoring. Tests such as RTPCR, Rapid Antigen, Chest Scan etc., which are being used to detect Covid-19 are painful and time consuming. Several investigations have found that the existence of Covid-19 virus can be predicted or analyzed by using Artificial Intelligence Techniques. Covid-19 patients have symptoms similar to other common illnesses. This project develops a system which analyzes an individual data relating to health status, Coughing, breathing, gender, age, certain pre-existing health conditions (i.e, asthma, diabetes) and geographical location to predict the infected one in a lesser time. Machine Learning approaches such as SVM, NB, SGD, ADABoost, ANN are used to discern between healthy and infected person. The Coswara database, accessible from GitHub, is taken to test the prediction ability of the classifier
Facial Landmark Detection with Sentiment Recognition
Authors: Sharma Divyeh
Published: June 2022

Abstract: Facial landmark detection is gaining more importance and popularity as its requirement and applications increase tremendously. Facial landmark detection has always been an exciting field of research cause of many potential applications encompassing facial recognition, sentiment recognition, and facial expression analysis. Innumerous datasets are extracted, cleaned, and explored for training Facial Landmark detection at various angles and setups, resulting in successful working in occult faces and multiple facial mapping in real-time. Facial Landmark detection, coupled with one of the robust applications of sentiment recognition, becomes an excellent tool for the user with the potential to add many applications further in the future.
General Knowledge Awareness by Implementing the Concept of Augmented Reality
Authors: Mahajan Hemant
Published: June 2022

Abstract: In our introduction is a state-of-the-art review in Augmented Reality (AR) Applications. Highly developed entertainment and critical games from both research and industry are introduced. The intangible, attention-grabbing, and flexible technology that provides a Simple Education Forum In this issue we present a summary of current AR applications outlining the challenges of designing a specific education-related domain. This research is part of an ongoing research project that aims to improve a better understanding of the design environment of AR applications that recognize the context of student smartphones. AR applications that can provide sensitive content to users while releasing them to explore context. To prevent misunderstanding, we refer to mobile AR as an AR type in which a mobile device (smartphone or tablet) is used to display and interact with visual content captured by a real-time camera server. of various educational levels. People with physical and mental disabilities are found all over the world; therefore, this paper introduces the Augmented Reality Application, conducted an indepth study of the popular taxpayer application we see based on in-depth reading / learning strategies and strategies published between 2014 and 2021 and concluded that current methods need to be differentiated in order to translate everything. data obtained correctly. Distinguishes progress in entertainment and critical sport in the education industry research. The unfortunate reality of taxpayers is seeing the sophisticated, attentive, and flexible technology that provides a simple educational platform, in this paper, we present the framework of the current AR smartphones program that helps vulnerable people to access information easily anywhere. This study is part of a larger study aiming at improving our understanding of the design environment for apps that identify student smartphone content. Mobile augmented reality is a sort of augmented reality object that uses a mobile device to display and interact with visual content in the real world that is covered by a real-time camera feed. The games and the unpopular reality of the taxpayers we encounter have been demonstrated to have a lot of learning power.
Research on Cloud Data Storage Security
Authors: Prasad Shweta Sukhram , Yadava Aarti Kanahiyalal
Published: June 2022

Abstract: Cloud computing is a revolutionary mechanism that changing way to enterprise hardware and software design and procurements. Because of cloud simplicity everyone is moving data and application software to cloud data centers there still exist significant issues that need to be considered before shifting into cloud. Security stands as major obstacle in cloud computing. This paper gives an overview of the security issues on data storage along with its possible solutions many companies are not ready to implement cloud computing technology due to lack of proper security control policy and weakness in protection which lead to many challenge in cloud computing. An independent mechanism is required to make sure that data is correctly hosted in to the cloud storage server. In this paper, we will discuss the different techniques that are used for secure data storage on cloud. This paper also provides a process to avoid Collusion attacks of server modification by unauthorized users.
A Bird\'s Eye View of Human Facial Expression Recognition Techniques
Authors: Sahu Thaneshwari
Published: June 2022

bstract: Human Face Expression Recognition is one of the most remarkable and promising errands in friendly interaction. For the most part, facial emotions are normal and straight forward means for human creatures to impart their expressions and goals. Facial emotions are the critical attributes of non-verbal interactions. In this paper depicts the review of Face Expression Recognition (FER) strategies which incorporate the three significant steps, for example, preprocessing, face detection and emotion classification. In this review work, clarifies the different kinds of FER procedures with its significant handout. Till now many works is done in Facial expression recognition. This paper will in general concentrate on the work done in recognition utilizing various methods. Facial recognition is significant viewpoint in making more human like PCs where human intelligent machine can be construct. Various methods are utilized till now on various viewpoints; in this paper we will be mainly focusing on feature based facial expression recognition. This paper additionally centers on classification strategies.
Self-Questioning Therapy (SQT): Capable of Removing Individual Thoughts from Mind, To Be Used as First-Aid & Treatment for All Psychological Problems
Authors: Sodhi Dr. Nitnem Singh
Published: June 2022

Abstract: This research paper introduces the Self-Questioning Therapy (SQT) which can be used to effectively treat all types of psychological problems, by removing individual thoughts from mind as desired. In emergencies such as suicidal thoughts or otherwise, SQT can be used as an effective first-aid to provide quick relief. SQT has been tested clinically by the author with dozens of patients and it was proven highly effective in all cases.
Impact of COVID-19 on Indian Currency
Authors: Shravan Mr.
Published: June 2022

Abstract: In this article the author examines the impact of COVID -19 on Indian rupee. The data has been collected through secondary method such as RBI bulletin, newspapers and other research papers. The objectives of the study to investigate the impact of COVID -19 on Indian rupee, currency growth, FDI, export - import, economic stability in Indian economy and protection of Indian rupee against the U.S. dollar by making efficient economic policies. This paper cover the data of exchange rate from 2012 to 2022 to know the impact of corona. Further, this study observe the effect of Covid -19 on Indian currency by classifying the data into two categories like pre Covid -19 and post Covid -19. Pre Covid including the periods from 2012 -18 and post Covid including 2020 -22. The value of domestic currency declined in comparison to foreign currency, because the demand for foreign currency is more than domestic currency. Thus, the domestic rate of exchange increased and the value of domestic exports become cheaper than foreign imports. The study has used statistical measures such as: Arithmetic Mean (A.M.), Standard deviation {S.D.} and Coefficient of variance (C.V.).
Whale & Dolphin Species Detection Using Hybrid Efficient Net Architecture
Authors: Chiruvella Harini
Published: June 2022

Abstract: We can identify individuals by their fingerprints and faces through facial recognition, but can we do the same for animals In reality, scientists use the shape and markings on marine animals' tails, dorsal fins, heads, and other body parts to manually monitor them. Photo ID, or identification by natural markings, is a valuable tool for the study of marine mammals. It permits analyses of population status and trends as well as the tracking of specific animals through time. We streamline the procedure for photographing whales and dolphins, which speeds up image recognition by 99 percent for researchers. The majority of research organizations currently rely on labor-intensive and occasionally erroneous manual matching by the human eye. Manual matching, which entails looking at images to compare one person to another, finding matches, and identifying new people, takes thousands of hours. When there are several photographs to manage, the first way is tiring and has a restricted scope and audience. In order to get highly discriminative features for species detection, this research offers a novel and effective approach by feeding images into a Deep Convolutional Neural Network Architecture utilizing an Additive Angular Margin Loss. By determining the largest occurring class among the available features, we apply K-Nearest Neighbors to infer the model by computing the closest distances to feature embedding of distinct classes
MÉTODOS DE FILTRACIÓN BIOLÓGICA EN SISTEMAS DE RECIRCULACIÓN ACUÍCOLA COMO UNA ALTERNATIVA PARA EL MANTENIMIENTO DE LA CALI-DAD DE AGUA: UNA REVISIÓN
Authors: Marcillo-Caguasango Paula Ximena , Sacro-Arciniegas Jorge Ricardo , Maigual-Enriquez Yemall Alexander
Published: June 2022

La producción de peces y camarones en sistemas de recirculación se ha convertido en una alternativa muy importante a los sistemas abiertos tradicionales, basada en la reutilización de agua previamente tratada con procesos físicos, químicos y biológicos. Para que un sistema de recirculación sea eficiente y proporcione un ambiente adecuado, debe cumplir con cinco procesos básicos: circulación de agua, aireación u oxigenación, remoción de sólidos en suspensión y materia orgánica e intercambio de gases. La filtración biológica es una fase importante de cualquier sistema de recirculación para acuicultura (SRA) donde se utilizan organismos vivos, principalmente bacterias, para eliminar NAT (nitrógeno amoniacal total) del agua, tóxico para peces y camarones en concentraciones bajas. Por tanto, el dimensionamiento de un filtro biológico (FB) se basa en las características del efluente como: Carga orgánica, concentración de NAT, Nitritos, DBO, DQO, Tiempo de Retención Hidráulica (TRH). Existe una variedad de FBs que se utilizan en la acuicultura para proporcionar un área de superficie que permita el crecimiento de bacterias en una biopelícula para usar los desechos tóxicos provenientes del alimento no consumido y del metabolismo de los peces, mejorando la calidad del agua en el cultivo. Algunos FBs utilizados en SRA son filtros percoladores, filtros de tambor rotatorio, filtros de medios fijos sumergidos, FB de medios granulares, reactores de lecho fluidizado aeróbico y los filtros biológicos de lecho móvil (FBLM). En este trabajo, se hace una revisión de los métodos de FB utilizados en los SRA como alternativa para mantener la calidad del agua.
STOCK MARKET PRICING: CAPITAL ASSET RETURNS MODEL (CAPM) AND FAMA-FRENCH MODEL
Authors:   Финансовый университет при Правительстве Российской Федерации», Москва, Россия, Григорий Георгиевич Сидоренко , Олег Георгиевич Сидоренко ,   Московское высшее общевойсковое командное орденов Жукова, Ленина и Октябрьской революции Краснознаменное училище Министерства обороны Российской Федерации», Москва, Россия, Дмитрий Сергеевич Термосесов ,   Финансовый университет при Правительстве Российской Федерации», Москва, Россия
Published: June 2022

. Subject / topic: This article examines the issues of pricing in the stock market in order to help institutional investors to preserve their own capital and increase it based on the study of capital asset return models (CAPM) and Fama-French model. The tasks of collecting the necessary statistical data, analyzing them, as well as applying the model to assess various assets and analyzing the accuracy of their application have been solved. The use of this model makes it possible to reliably predict the prices of assets on the stock market, however, it does not guarantee 100% accuracy, and therefore, its use still entails the risks of capital loss. Goals / objectives: The aim of the study is to compare the accuracy of the studied models, as well as to identify their advantages and disadvantages. Methodology: The methodological basis of the study is made up of both general and particular scientific methods of cognition. Used such methods as induction and deduction, methods of comparison and generalization. Results / conclusions: The authors found that the use of the five-factor Fama-French model makes it possible to fairly reliably predict asset prices in the stock market, but does not guarantee 100% accuracy, so its use still entails the risk of capital loss.
ECONOMIC RELATIONS IN THE FACE OF NON-ECONOMIC CHANGES
Authors:   Южный федеральный университет, Ростов-на-Дону, Россия, Юрий Рафаэлович Туманян
Published: June 2022

In studies of modern economic development, methodological aspects of the analysis of the impact of non-economic changes on economic relations become relevant in order to identify the new quality of factors of economic growth and development, as well as the use of an interdisciplinary approach in solving socio-economic problems. In this regard, it becomes important to study the place and role of non-economic changes in the development of social production, their structure in the socio-economic system of society. Since economic relations are universal, covering all spheres of social reproduction, non-economic changes interact, influence and enrich these relations, raising them to a new qualitative level. The process of modern economic development in new technological, infrastructural, digital, social, managerial and other conditions requires the adaptation of production factors to changing realities.
SOCIOCULTURAL BACKGROUND OF HUMAN RESOURCE MANAGEMENT IN MODERN RUSSIA
Authors:   Южный федеральный университет, Ростов-на-Дону, Россия, Андрей Валерьевич Рачипа ,   Московский авиационный институт (национальный исследовательский университет), Москва, Россия, Камилла Григорьевна Абазиева ,   Ростовский государственный экономический университет (РИНХ) Ростов-на-Дону, Россия, Сергей Иванович Самыгин ,   Ростовский государственный экономический университет (РИНХ) Ростов-на-Дону, Россия
Published: June 2022

The purpose of the article is to analyze the sociocultural background of human resource management in modern Russian society. Research methodology is based on a culturological approach to the analysis of management, as well as the concept of organizational culture. The authors show that the process of human resource management has a sociocultural specificity, which must be taken into account in the implementation of management activities. The specificity of human resource management in modern Russian society is caused by several factors: the need to increase the efficiency of organizations, the peculiarities of the political situation the Russian economy is developed in, as well as sociocultural management features preserved from the Soviet model of governance.
EVOLUTION OF ECONOMIC STRUCTURES IN THE CONTEXT OF NEW SOCIAL DEVELOPMENT
Authors:   Южный федеральный университет, Ростов-на-Дону, Россия, Андрей Николаевич Козлов
Published: June 2022

The article examines the essence of economic structures in the period of modern application of socio-economic influence on the sustainability of economic development. The formation of the company's strategic direction towards a new socio-economic situation determines the conditionality of the relationship between the socio-market perceptions of modern economic reality. In the conditions of new social development, the essence of the subject of economic activity is considered in the priority direction of the functional use of social production resources. The impact of the new social development of companies is shown, in the context of a certain industrial, organizational, legal situation, in which promising projects for their activities are revealed within the framework of a socio-market approach.
KESAN PERANG DUNIA PERTAMA (1914-1918) TERHADAP NEGERI-NEGERI MELAYU BERSEKUTU (NNMB)
Authors: Marimuthu Jayakumary
Published: June 2022

The outbreak of World War I in 1914 appears to have been dragged Malaya,particularly Federated Malays States (FMS) into the mire of the war itself. Various implications have emerged out of it and hence, influenced the development of the political, economic and social sectors of FMS. Therefore, this paper will be analyzing the changes that took place in FMS from 1914 to 1918. In addition, this paper also will be looking on how the British dealt with the issues and problems occurred during the World War I in FMS within the time frame. Based on historical theme, this research depends on qualitative method. This research uses materials and resources obtained from the National Archives of Malaysia, National Library of Malaysia, Main Library of University of Malaya (MU), Tun Sri Lanang Library of Universiti Kebangsaan Malaysia (UKM), Sultan Abdul Samad Library of Universiti Putra Malaysia (UPM) and Hamzah Sendut Library of Universiti Sains Malaysia (USM). The study revealed and found that indeed the First World War had a negative impact on the political, economic and social sectors in FMS duringthis war. In fact, it also showed that the British managed to address the issues and problems that occurred through the cooperation of all parties in the FMS.
KETAGIHAN CANDU DI TANAH MELAYU SEHINGGA TAHUN 1957
Authors: Mohamad Yasid Amer Fawwaz , Zulikifli @ Zulkafli Noraini
Published: June 2022

The introductionsof opiums since early 18th century by the Chinese imigrants was the beginning of the drug abusement problems in Malaya. The local populations believed that the opium smokings activities was are liable stress relievers in encountering their daily hardships rountine activities. The self dependencies on opiums was the contibuted factors of epidemics towards the drug addictions among the local populations. Furthermore the illegal smuggling and distribution of opiums activities in Malaya was organized and carry outby the local drug trafficking organizations. Hence,this research was conducted to identify the opium addictions and dependencies among the Malaya societies until 1957. This research was based on qualitative studies by referring on two main resources which the primary resources based on the field studies and interview with related respondents. Meanwhile the secondary resources was gathered from the majorreference materials such as books, article journals, academic thesis and government official documetsretreived from the public archives. The research findings show that opium addiction problems on the local communities in Malaya that lead towards the banned of opium usage by the British throughoutthe implementation of Dangerous Drug Ordinance 1952 respectively.
MALAYSIA'S PRIVATE HIGHER EDUCATION SECTOR AS PROVIDER OF ACCESSIBILITY: A WIDER VIEW OF ITS HISTORICAL GROWTH AND ROLES VIS-À-VIS THE PUBLIC HIGHER EDUCATION SECTOR
Authors: Ahmad Tajudeen Aishah Bee , Raja Sivachandralingam Sundara
Published: June 2022

Existing studies relating to the complementary functions of Malaysia’s private higher education institutions (PHIEs) to public higher education institutions, especially in terms of accessibility to tertiary studies, often suffer from a lack of comprehensiveness. While most of the previous works generally address the subject in a politico-economic and policy-making context, this paper discusses as extensively as possible the role of PHIEs in supplementing public higher education institutions from a historical perspective. The findings show it reconstructs the evolution of PHIE's roles as an alternative-provider from the promulgation of the Private Higher Education Act in 1996 to the first decade of the 2000s, primarily by using government official statistics from 2002 to 2010. Focus is put on the educational opportunities provided by private institutions; opportunities for studying courses not offered by public universities; opportunities for furthering study abroad through twinning programs and; the industrial relevance of the courses. Much of the discussion is in the form of qualitative analyses of statistical data.
SURVEI DAN PEMETAAN PRODUK PELANCONGAN SEJARAH DAERAH KUALA MUDA, NEGERI KEDAH DARUL AMAN
Authors: Ali Mohd Amin , Abd Halim Mohd Hasfarisham , Masnan Shyeh Sahibul Karamah , Saidin Mokhtar
Published: June 2022

The historical tourism sector of Kuala Muda district first received attention when the Sungai Batu Archaeological Complex was recognized as a National Heritage site since 2012 and later as the oldest civilization site in Southeast Asia since 2016. This recognition allows for more proactive research to be conducted which has mapped 59 archaeological sites and 24 historical sites in this district of Kuala Muda. This study is generally conducted to complete the data related to the location of iconic and byproduct for the historical tourist products in the district that allows the development of tourism packages to be carried out. To achieve this goal, qualitative method were used such as survey and product mapping activities were conducted from 2019 to 2021 using tools such as global positioning system (GPS), google earth and software such as coreldraw X7 (64 bit) for the purpose of documentation of the observed data. The results or findings of the study enable seven iconic tourism packages of the district such as Package 1: Kuala Muda Tourism Interpretation Center (PIPKM), Package 2: Puncak Jerai, Package 3: Kuala Muda Waterfall Recreation, Package 4: Kuala Muda Minerals, Package 5: Old Kedah, Package 6: Sungai Merbok Mangrove and Package 7: Tsunami Gallery and Pasar Bisik were established to strengthen the tourism sector in Kuala Muda district with the Kuala Muda Tourism Interpretation Center (PIPKM) being made a one-stop tourism center for the district. This clearly shows that the Kuala Muda district has great potential to be developed sustainably in the country's historical tourism sector for the purpose of strengthening the local economy.
HOSPITAL BERSALIN CINA KUALA LUMPUR, 1913-1941: ANALISIS TERHADAP ASPEK PENGURUSAN DAN KEWANGAN
Authors: Rosli Mohd Hairulhazan , Mohamed Hassan Noraini
Published: June 2022

This article aims to discuss the development of Chinese Maternity Hospital KualaLumpur from 1913 to 1941. The establishment of this institution aims to help the poor and needy people amongst the Chinese to seek health treatment. Nevertheless, to administer a welfare-type of institution is not an easy task especially in terms of inadequate funding from the British. This raises a question on how this institution being managed and funded during the British administration in Selangor. Thus, an analysis is conducted on management and financial aspects of the institution. The study is using qualitative method and the main sources for this study are the Annual Reports of the Selangor Chinese Protectorate and the Annual Reports of the Chinese Maternity Association (Incorporated) Kuala Lumpur from the Selangor Secretariat files. The findings of this article proves that this institution has been managed satisfactorily. This could be seen from the appointment of administrative committees, medical staffs as well as documentation matters. Interestingly, this article also finds that the life values of the Chinese that prioritise social responsibilities has become the main element to ensure this institution always committed in giving proper health services since its establishment until the Second World War.
WALKING THE TIGHT ROPE OF DIPLOMACY: ECOWAS APPROACH TO INSTITUTIONAL FORMATION AND ESTABLISHMENT OF THE EXECUTIVE SECRETARIAT, 1975 – 1977
Authors: Dahiru Ahmad Aminu , Yacob Shakila
Published: June 2022

Few weeks after the signing ceremony of the Treaty forming the Economic Community of West African States (ECOWAS) in Lagos, Nigeria on 28 May 1975, the ECOWAS formation treaty was ratified by threshold of member states in June 1975. The charter envisages the immediate formation of the Executive Secretariat to guide the implementation of regional policies and programs and facilitate the achievement of the community integration objectives. However, the ECOWAS institutional formation process was held hostage and delayed for almost two years by some highly political debacles. Using qualitative historical method, this article explores the historical evolution of ECOWAS to highlight the impact of diplomacy on the formation of the Executive secretariat. The finding from the analysis in the study indicates that, the mechanism of diplomatic compromise used to resolve the political disagreements affected the formation process and the structure and function of the ECOWAS Executive Secretariat.
Propiedades físicas y mecánicas del concreto fabricado con agregado reciclado: Una revisión literaria
Authors: Muñoz Perez Sócrates Pedro , Calderón Coronel Álvaro Andrés , Caruajulca Gonzáles Alex Jhann Carlos , Huaman Ticlla Oscar Rubén
Published: June 2022

Contemplando que la utilización de distintos agregados reciclados (RA) para la elaboración de concreto produce muchos beneficios ambientales por medio de la reducción de la cantidad de agregados naturales (NA) que son extraídos y la disminución en la cantidad de materiales de desecho. Este artículo de revisión presenta el análisis bibliográfico de los fenómenos producidos por los agregados reciclado (RA) y las propiedades que aporta al concreto. Mediante la indagación de diversos artículos de revistas publicadas en los últimos años se identificaron las propiedades físicas y mecánicas del concreto de agregados reciclados (RAC) a través de la evaluación de los ensayos de resistencia tanto de compresión, así como tracción y flexión. El agregado reciclado (RA) evidencia valores inferiores de peso unitario suelto y valores superiores de absorción de agua que el agregado natural, se exhibe que el concreto fabricado con áridos naturales muestra una superior resistencia mecánica que el concreto de áridos gruesos reciclado (RCA). Los resultados de diferentes investigaciones indican que al aumentar el porcentaje de reemplazo de los agregados reciclados se disminuye proporcionalmente la resistencia y se dedujo que la cantidad óptima del reemplazo de RA en el concreto es de 50% y la sustitución máxima del agregado natural es del 50%
El control interno una praxis de la gestión del conocimiento empresarial
Authors: Medina Ricaurte Germán Fernando
Published: June 2022

En el capítulo se realiza una exploración sobre algunos de los conceptos de generación de conocimiento, los cuales se articulan con la gestión y el desarrollo empresarial. Posteriormente se realiza un análisis diacrónico de cómo se genera conocimiento empresarial a través de la evolución de las escuelas administrativas observadas. Una vez identificado el proceso administrativo, tanto en el planteamiento clásico y neoclásico de la administración, se seleccionó del ciclo administrativo la fase de control para observar su proceso de generación de nuevo conocimiento, observación que se efectuó con base en los informes COSO, donde fue posible identificar la evolución del sistema de control interno; que tuvo como resultado una generación de conocimiento que se refleja en la praxis de la aplicación de estos en el entorno empresarial del sector público. Finalmente, se establece que las empresas en su evolución generan nuevo conocimiento, lo que tiene un efecto directo en la mano de obra que realiza los procesos más complejos, la cual debe cualificarse con el fin de ser competitivos en las empresas, fenómeno que está asociado a los niveles de ingresos de los trabajadores.
Modelo para medir el nivel de madurez de gestión del conocimiento para las organizaciones empresariales, evaluación de expertos
Authors: Castellanos Narciso José Ever , Vega Guerrero Juan Camilo
Published: June 2022

En este capítulo se valida la propuesta de modelo para medir el nivel de madurez de gestión del conocimiento para las organizaciones, mediante la evaluación de expertos en gestión de conocimiento. En el estudio se evidencia la pertinencia de las áreas claves del modelo con respecto a estrategia, tecnología, liderazgo, estructura organizacional, cultura y entorno. También se identifica la adecuada estructura de valoración del nivel de conocimiento en las categorías: participantes sin conciencia, participantes con conciencia, conocimiento estructurado, pre-óptimo y óptimo.
Ready to go? Profiling Philippines high school teachers’ readiness for blended learning in post-COVID-19 era
Authors: Vergonia Bonifacio , Mombas Sanny Eriman
Published: June 2022

In post-COVID-19 era, education system around the world seems to experience a shifting from traditional in-class learning to online activities, or it can be blended style which is the combination of both modes. Hence, exploring teachers’ and learners’ readiness for the different model of learning activities is a must and becomes a worth inquiry. The present study is at the cutting edge of profiling high school teachers’ readiness for blended teaching activities in Philippines at the time of post-COVID-19 era. A survey research design was adopted by involving 107 high school teachers in the city of Tupi, South Cotabato province, Philippine. This study provided an alluded picture that Philippines high school teachers are ready to conduct a blended learning system in post-pandemic era. This conclusion was drawn from the excellent results of survey items in four dimensions for blended teaching readiness model developed by Graham et al, comprising technical literacy, planning blended activities, facilitating student-student and teacher-student interaction, and managing the blended learning environment. The results indicate that a responsive, supportive, and relevant teacher professional development programs should be developed in order to enhance teachers’ readiness for blended learning in post-COVID-19 era, as well as improving Philippines future educational system.
Self-regulated learning in online classes: A comparative study between Malaysian and Indonesian students
Authors: Bin Tajudin Anas , Maulida Chusna , Ria Dwi Vransiska
Published: June 2022

Self-regulated learning (SRL) becomes a crucial part for the success of online classroom activities during the COVID-19 pandemic. To date, studies exploring students’ SRL in the contexts of Malaysian and Indonesian universities are still lacking and remain more empirical evidence.  This study aims to examine and compare both university students’ SRL toward online learning activities at the time of global pandemic. The required data are quantitatively collected from 103 undergraduates from University A in Malaysia and 119 college students from University B in Indonesia by using an online questionnaire on students’ self-regulated learning adapted from Motivated Strategies for Learning Questionnaire (MSLQ). The sudden shifting from face-to-face interaction to online class instruction is a new learning style and could be challenging, but the finding of this study shows that the students from both universities achieve high mean scores on the SRL questionnaire. This finding indicates that the students have a positive attitude, high academic motivation levels, and good self-learning control over themselves during the online classes. This study contributes to the extension of the current literature about self-regulated learning in higher education context. This study further suggests that teachers could assist students’ self-regulated learning to improve their academic performances by keeping their motivation and engagement, particularly in the time of online classes during COVID-19 pandemic era. Hence, future studies are recommended to investigate the impact of students’ SRL on learning achievement as it can help teachers to enhance students’ performance in online classes.
The roles of school principal: An insight from disadvantaged areas of Indonesia
Authors: Mutiaraningrum Ira
Published: June 2022

Sequence studies existing have advocated principal’s roles in school development. However, limited study has addressed the principal’s role as educator, manager, administrator, supervisor, leader, innovator, and motivator (EMASLIM) in disadvantaged areas in Indonesia. This current study delves into principals’ efforts and challenges in their previously mentioned roles. For this purpose, a case study was carried out. Involving two participants from two schools in a remote area in Indonesia, this study employed in-depth interviews, WhatsApp chat, WhatsApp voice notes, and documentation for data collection of this study. The findings revealed that the principals focus more on how to deal with the lack of teachers at school so they can carry out their duty as an educator, manager, administrator, supervisor, leader, innovator, and motivator. This study is expected to enrich literature regarding the role of principle, particularly in remote area. Thus, it will help stakeholders in the policy-making that suit the needs of different characteristics.  It was found that the main problem is not their location in the remote area, but the lack of quantity and quality of human resources. It seems that the principals shoulder all burden due to the lack of human resources available. This study suggests the government to pay attention to the ratio of teachers and students.
From face-to-face to screen-to-screen instruction: Pakistani students’ experiences, challenges, and learning effectiveness
Authors: Anwar Ch. Mahmood , Isa Aerni
Published: June 2022

The closure of schools and campuses due to the COVID-19 pandemic in the recent years has been shocking and resulted in a new learning habit from face-to-face interaction to online activities. Challenges, problems, potentials, and other attributes related to the administration of online teaching and learning are highly necessary to be explored. This study is conducted to portray college students’ learning experiences at the time of COVID-19 pandemic as well as post-pandemic recovery in Pakistan. A narrative inquiry by means of written reflection and semi-structured interviews is employed to scrutinize the online learning experiences of 19 university learners’ studying at a medical university in Pakistan. This study’s results depict that the use social media has dominated the whole learning activities in higher education context experienced by the students. Although the students confessed that they were ill-prepared, and there were issues with electricity supply, unstable internet connection, and access to digital equipment, they were still motivated to engage in online learning activities. When they were asked to provide opinion about the teaching modes, most of them argued that face-to-face interaction in a formal classroom was more preferred. The findings offer an empirical implication that teachers and related stakeholders are required to enhance the efficacy of online learning activities in Pakistan. Moreover, the findings contribute as an input enhancement to improve the quality of digital learning from the students’ point of views, both at the time of COVID-19 pandemic and post-pandemic recovery.
Liouville theorem and qualitative properties of solutions for an integral system
Authors: Li Ling , Liu Xiaoqian
Published: June 2022

In this paper, we are concerned with an integral system $$
\left\{ \begin{aligned}
&u(x)=
W_{\beta,\gamma}(u^{p-1}v)(x),
\ u>0 \
\text{in} \
R^{n},\\
&v(x)=I_{\alpha}(u^{p})(x), \
v>0 \ \text{in}
\ R^{n}, \end{aligned}
\right. $$ where $p>0,$
$0<\alpha,
\beta\gamma1$. Base on the integrability
of positive solutions, we obtain some Liouville theorems and the decay
rates of positive solutions at infinity. In addition, we use the
properties of the contraction map and the shrinking map to prove that
$u$ is Lipschitz continuous. In particular, the Serrin type condition
is established, which plays an important role to classify the positive
solutions.
Benefits of sacubitril/valsartan use in patients with chronic heart failure after cardiac valve surgery: a single-center retrospective study.
Authors: Zheng Jian , Wu Qingsong , Li Qianzhen , tang mirong , qiu zhihuang , chen liangwan
Published: June 2022

Objective: To evaluate the efficacy of sacubitril/valsartan for
the treatment of patients with chronic heart failure (CHF) after cardiac
valve surgery (CVS). Methods: Data of 259 patients who
underwent CVS due to organic heart disease, and who were admitted to the
hospital with CHF from January 2018 to December 2020, were collected.
The patients were divided into Group A (treatment with
sacubitril/valsartan) and Group B (treatment without
sacubitril/valsartan). The duration of treatment and follow-up was 6
months. Prior-treatment clinical characteristics, post-treatment data,
mortality, and follow-up data of the two groups were analyzed.
Results: The total effective rate of Group A was higher than
that of Group B (82.56% versus 65.52%, P < 0.05). The left
ventricular ejection fraction (LVEF) was improved in both groups (11.14
± 10.16 versus 7.15 ± 11.18, P = 0.004). The left ventricular
end-diastolic/-systolic diameter (LVEDD/LVESD) in Group A decreased more
than that in Group B (3.58 ± 9.21 versus 0.27 ± 14.44, P=0.026; 4.21 ±
8.15 versus 1.14 ± 12.12, P=0.016, respectively). The N-terminal
prohormone of B-type natriuretic peptide (NT-proBNP) in both groups
decreased (1305.65 ± 2000.85 versus 675.91 ± 1649.84, P=0.012). The
systolic and diastolic blood pressure (SBP/DBP) in Group A decreased
more than that in Group B (13.13 ± 23.98 versus 1.81 ± 10.89, P
< 0.001; 8.28 ± 17.79 versus 2.37 ± 11.41, P = 0.005,
respectively). Liver and renal insufficiency, hyperkalemia, symptomatic
hypotension, Angioedema or acute heart failure have no statistical
differences between the two groups. Conclusion:
Sacubitril/valsartan can effectively improve the cardiac function of CHF
patients after CVS by increasing LVEF, reducing LVEDD, LVESD, NT-proBNP
and BP, with good safety.
Accidental displacement of a dental implant into the Nasal Cavity: Report of a rare case
Authors: Safi Yaser , mortazavi hamed , Sadeghian Ali , Hazrati Parham
Published: June 2022

A healthy 48-years-old male patient was referred to our department to
take radiographs of a displaced implant. Upon radiographic evaluation,
it was unveiled that the implant has migrated to the nasal cavity and is
trapped under the middle concha. The implant was removed under endoscopy
through the right nostril.