bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Model Pembelajaran Kooperatif GI Berbantuan Macromedia Flash terhadap Hasil Belajar Fisika SMA
Authors: Agnes Sinaga Cintia , Sirait Makmur
Published: May 2023

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran kooperatif tipe GI berbantuan macromedia flash terhadap hasil belajar fisika SMA. Jenis penelitian ini adalah kuasi eksperimen dan pengambilan sampel dilakukan dengan cara cluster random sampling. Hasil penelitian menunjukkan rata-rata pretest kelas eksperimen 39,00 dan kelas kontrol 43,38. Berdasarkan analisis uji-t dua pihak diperoleh thitung = 1,70dan ttabel = 1,998. Hal ini menyatakan kemampuan awal kedua sampel sama setelah diberikan perlakuan yang berbeda dilakukan posttest dengan nilai rata-rata eksperimen 73,90 dan kelas kontrol 66,47analisis uji-t satu pihak menunjukkan thitung = 2,75dan ttabel =1,669. Hal ini menyatakan ada pengaruh yang signifikan model pembelajaran kooperatif tipe GI berbantuan macromedia flash terhadap hasil belajar fisika SMA.
Penerapan Soal Programme for International Student Assessment (PISA) Konteks Virus Corona
Authors: Turyana F. Intan , Rahayu Chika
Published: May 2023

Tujuan penelitian ini untuk mengetahui kemampuan siswa dalam menyelesaikan soal matematika model Programme for International Student Assessment (PISA) dalam konteks virus Corona di SMP Xaverius Pagaralam. Metode penelitian ini menggunakan pre-experimental dengan desain one shot-case study. Metode ini merupakan eksperimen yang dilakukan tanpa adanya kelompok pembanding. Subjek penelitian ini adalah siswa kelas VIII SMP Xaverius Pagar Alam yang terdiri dari 30 siswa yaitu 13 laki-laki dan 17 perempuan. Hasil penelitian ini tergolong baik yang dapat dilihat dari nilai rata-rata hasil belajar siswa sebesar 77,66 dan termasuk kategori baik. Adapun siswa yang mendapat nilai sangat baik berada dalam rentang 86-100 yaitu sebanyak 2 siswa dengan persentase 6,66%. Siswa yang tergolong baik berada pada rentang 76-85 yaitu sebanyak 9 siswa dengan persentase 30,00% dan cukup berada pada rentang 56-75 yaitu sebanyak 17 siswa dengan persentase 56,66%. Terdapat 2 siswa mendapat kategori kurang yang berada pada rentang 10-55 dengan persentase 6,66%.
A Brief Talk on Chinglish from the Level of Teaching Methods
Authors: Siyu Song , (Instructor) Zhou Jing
Published: May 2023

China has been promoting English teaching activities since the 1960s with the goal of cultivating a global perspective and proficiency among the younger generation. Despite decades of teaching, issues such as the inconsistent use of British and American pronunciation and the incorrect use of tenses in Chinese English persist and have not seen improvement. This paper delves into a comprehensive study from the perspective of the differences between English teaching in China and foreign countries, specifically exploring the relationship between Chinese English and educational methods while analyzing the underlying logic and differences in Chinese and Western English teaching methods. This paper starts with the scientific laws of language acquisition and aims to provide practical solutions to address Chinese English problems and other language-related issues, and offers valuable insights into the innovation and development of Chinese English teaching in the future.
Teaching Activities for English Writing: Based on a Process Genre
Authors: Zhou Xiaowei
Published: May 2023

The objective of this research is to improve the writing abilities of students through a concentrated emphasis on discourse patterns, content, coherence, and language suitability. The conceptual framework of the process genre approach informed the design of the course. The framework outlines the developmental stages of learners, beginning with the acquisition and understanding of knowledge, followed by its analysis, and culminating in the application of knowledge in a creative manner. Furthermore, it provides precise directives for the implementation of said principles. An academic curriculum that is based on genre should include a comprehensive understanding of discourse genres and their intricate characteristics. Proficiency in language and expertise in the subject matter are necessary for teachers to effectively utilize genre analysis in the field of education. The results indicate that educators should underscore to pupils that the attainment of English language proficiency entails the cultivation of communicative proficiency in diverse settings, alongside the acquisition of reading and writing proficiencies.
Discussion on the Application of BIM Technology in HVAC Design
Authors: Luo Qiansong
Published: May 2023

With the sustained and steady growth of China’s economy, HVAC technology is becoming more and more advanced. BIM technology is used in ventilation and air conditioning design, which changes the limitations of traditional design. In the new period, it improves the construction efficiency and quality of HVAC engineering and optimizes the air conditioning performance. This paper mainly analyzes the application of BIM technology in HVAC design, and introduces the application of BIM technology in HVAC design in detail by introducing the characteristics of BIM technology. Keywords: BIM technology HVAC technology application Introduction: With the continuous development of information technology, HVAC design technology has also made continuous progress. In recent years, BIM technology has been used in HVAC design and played an important role. With the progress of the times and the development of science and technology, HVAC has appeared in people’s lives more frequently. The combination of BIM technology and HVAC design of air conditioning is conducive to promoting the connection between different professional fields in HVAC design and further improving HVAC design. Therefore, in order to give full play to the advantages of BIM technology in HVAC design, relevant departments and staff should strengthen the application research of BIM technology. However, there are many problems in the application of BIM technology, and the phenomenon of energy waste is serious, which is not conducive to China’s economic development. At present, the design of BIM technology in HVAC system must analyze the actual situation, pay attention to resource conservation and reduce environmental pollution.
Traditional Marriage in Africa: A Pragmatic Analysis of the Wedding Songs in Saalum Communities
Authors: Ndao Mariama Soda
Published: May 2023

This study raises women’s issues that are part of women’s lives. It draws particularly the wedding songs pragmatics in societies in which communication is an oral cultural basis. From these views, the topic elaborates cultural perception of a certain community, regarding wedding songs to illustrate a handful of characteristics of civilized rules held by the tradition. This topic treats from the view of pragmatic meaning the problem of wedding songs in which, an extracted version is taken from informants to analyze the impact of these oral communication characteristics. Pragmatically, the analysis has thus outlined many communicative aspects to convey knowledge, to inherit social and cultural practices, and to educate the young generation, while serving adults as guides. This topic contributes to cultural diversity and traditional apprehension around different concepts in African societies generally, and the Saalum community particularly.
Factores de riesgo psicosocial en el trabajo, entorno organizacional y violencia laboral en la actividad económica terciaria de la Ciudad de México
Authors: Martínez-Mejía Emmanuel
Published: May 2023

Objetivo: conocer la exposición a los factores de riesgo psicosocial en el trabajo y su relación con factores del entorno organizacional y la violencia laboral en una muestra de 1 105 personas trabajadoras de la actividad económica terciaria en la Ciudad de México. Metodología: de tipo cuantitativa, no experimental, transversal, descriptiva y correlacional. Resultados: 95% de la muestra está en algún nivel de exposición y 51.6% en los niveles alto y muy alto. Un modelo path muestra que seis variables explican 44% de la violencia laboral, en las que las principales fueron: relaciones negativas en el trabajo (b = 0.28) y liderazgo negativo (b = 0.21). Limitaciones: estudio acotado a la actividad económica terciaria. Valor: se identificó exposición grave a los factores de riesgo psicosocial en el trabajo en la muestra de estudio, lo que indica probabilidad de daño a la salud. Conclusiones: se aporta evidencia a la compleja dinámica de interacción entre los factores de riesgo psicosocial en el trabajo que anteceden a la presencia de violencia laboral.
Variación morfológica de las escamas cefálicas en Sceloporus aeneus y Sceloporus bicanthalis: diferenciación de especies por morfometría geométrica
Authors: Rodríguez-Romero Felipe de Jesús , Galindo-Gil Sandra , Moreno-Barajas Ruth
Published: May 2023

Sceloporus aeneus y Sceloporus bicanthalis son especies de reciente evolución, similares en morfología e historia de vida, pero difieren en el modo reproductor y número de escamas cantales. Sin embargo, este último carácter es altamente variable y es el único, a una escala morfológica, que se ha usado hasta la fecha para diferenciarlas. En el presente trabajo se analizó el grado de variación morfológica de las escamas cefálicas, mediante morfometría geométrica y estadística multivariada, para determinar si el uso de estos métodos permite separar con mayor precisión ambas especies. Para ello, se utilizaron fotografías digitales de S. aeneus y S. bicanthalis y se colocaron marcas en escamas de la región dorsal, ventral y lateral de la cabeza. Los resultados muestran diferencias significativas en la forma de las escamas entre ambas especies para todas las vistas, de manera que cada especie presenta un morfotipo definido en lo que respecta a la escutelación del cráneo. El análisis sugiere que ambas especies pueden ser identificadas mediante variaciones en la forma de las escamas parietal e interparietal y no por el número de escamas cantales.
Graphical Password Authentication
Authors: Bhardwaj Utkarsh
Published: May 2023

Abstract: A graphical password authentication is a form of authentication where users select a picture, image, or sequence as their password. Graphical passwords are an alternative to alphanumeric passwords in which users click on graphical images rather than typing alphanumeric characters to authenticate their identity. This method has gained popularity due to its ease of use and ability to provide better security than traditional alphanumeric passwords. This research paper provides a comprehensive study of graphical password authentication, including its history, types, advantages and disadvantages, security concerns, and future developments. The paper also includes a review of related research on graphical password authentication and its effectiveness in different settings.
Parking Management System
Authors: Sharma Payal , Kumar Praveen , Jain Rishabh , Sharma Swastik , Bhardwaj Mrs. Medhavi
Published: May 2023

Abstract: This research paper aims to a Parking Management System which is an online platform that enables users to reserve a parking spot in advance. The system works by allowing users to search for available parking spots, view prices, and book their preferred spot using a mobile app or a web interface. The system can be integrated with parking management systems, enabling parking providers to better manage their parking spaces and increase their revenue. Additionally, the system can provide realtime data on parking availability, reducing traffic congestion and improving overall parking efficiency. This abstract provides an overview of the Parking Reservation System and highlights its benefits for both parking providers and users.
Integrative Approach for the Management of Diabetes Mellitus and Cardiovascular Disease
Authors: Priya Ankita , Kumari Girija , Singh Vikram
Published: May 2023

Abstract: Diabetes Mellitus and Cardiovascular disease are one of important non-communicable, lifestyle-related endocrine disorders. According to the International Diabetes Federation (IDF), the number of people with diabetes is expected to increase from 366 million in 2011 to 552 million in 2030. The use of an integrative approach to medicine Traditional and modern medicine needs to be considered to address the multiple challenges posed by diabetes. Integrated strategy involves selfmanagement and lifestyle changes and is a new term emphasizing the combination of conventional and alternative approaches to address biological, psychological, society and the spirit of health and disease. When considered an alternative, integrated treatments to diabetes, all patients must realize the importance of careful monitoring of blood sugar levels. blood and potential side effects, as well as regular contact with the medical care team. In the present study, the integrative approach for the management of Diabetes Mellitus and Cardiovascular disease
Seismic Performance of Vertical Irregular Steel Frame Structure under Mainshock-Aftershock
Authors: Akhtar Javed , Parekar Dr. Samyak
Published: May 2023

Abstract: The majority of the structures are involved with architectural importance and it is highly impossible to achieve uniform structural properties in all directions. Hence earthquake resistant design codes considered it as irregular frames based on relative difference in the story properties. In many cases these irregularities are responsible for structural collapse of buildings under earthquake ground motions. The seismic response of buildings with irregular distribution of stiffness along the height may be differentfrom that ofregular building. Also, past earthquakes showed that structure may be subjected to sequence of ground motions but current codes do not have guidelines for such cases. It is considered that aftershock do not cause any more damage to damaged structure by the preceding mainshock ground motion. In this study steel moment resisting frame buildings are evaluated to understand the seismic response of vertical stiffness irregular frames subjected to mainshock-aftershock ground motions. The 9-story steel moment resisting frame building situated in Los Angeles is used in this study was originally developed as part of the SAC steel project. In this study soft and stiff storey case was considered at three different locations along the height, i.e., at bottom storey, mid-height storey and top storey. The single modification factor is used for irregularity. For comparison purpose dynamic properties of regular and irregular frames are kept same. Two sets of 6 records were selected representing a seismic hazard level of 2% and 10% probability of exceedance in 50 years respectively as mainshock. Two sets of 30 mainshockaftershock ground motion are considered for the study. These ground motions were developed using randomized approach. A non-linear time history analysis of regular and irregular building is carried out separately under mainshock and mainshockaftershock. The effect of building irregularity was studied for single storey modification at bottom storey, mid-storey and top storey with comparison to regular building. The comparison of a regular and irregular building is carried out in terms of maximum roof displacement and interstorey drift ratio. Also, comparison of frames under mainshock and mainshock-aftershock is done.
A One Stop Solution Platform for various Services: Helping Tools
Authors: Shimpi Chaitanya
Published: May 2023

Abstract: The service-based economy supports too much of the global economy for us to ignore its importance. Any tool or service's main goal is to help the user by solving a problem or simplifying a certain procedure. Numerous services are available to address problems ranging from extremely small to artificial intelligence levels. Getting the precise information or completing a certain activity is an essential component of any business. The key resource and initial step in locating any problem's answer is the internet. Using the internet is a common method to locate services that meet a certain need. To put it mildly, there are many different services and service providers on the internet. There are often alternatives to problems, as well as theories or techniques that may be used. But sorting through all the available alternatives to pick the best one is surely a difficult undertaking. It might be quite difficult to select—or seek for—the best tool. Finding a few answers does not always indicate that they are the best option for the issue at hand. Additionally, the services are not personalised. Every issue or circumstance is distinct. As the name implies, helping.tools is a one-stop shop for assistance when choosing a tool, service, or service provider. It is a platform that offers a variety of tools and services in one place. Users can choose the services they need from a number of categories and explore the platform easily. The services' different types range a variety of industries, including daily utility, blockchain, artificial intelligence, and other fields. This is accomplished by gathering a variety of products and services with enhanced functionality under one roof and making them accessible according to various sectors. Helping.tools has something for everyone. With a user-friendly interfacethe platform ensures that users get the best possible services at an single stop. In short, Helping.tools is a one-stop solution for anyone looking to access quality services tailored to their specific needs.
Predict, Identify and Alert on Suspicious Activity by Multiple Zone
Authors: Yadav Pratik
Published: May 2023

Abstract: Suspicious human activity detection in security capture is a study topic in image processing and vision. The mysterious identification of human activity from video surveillance is an area of study in both fields. Human activity can be monitored visually in conspicuous public spaces like bus depots, airports, railway stations, financial institutions, malls, schools, and universities to avoid terrorist activity, vandalism, accidents, prohibited parking spaces, vandalism, fighting chain theft, criminality, and other unusual behavior. Extremely difficult to continually monitor public spaces, thereby an innovative video surveillance installation system that can track people's movements in real-time, classify them as routine or odd, and send out an alert is needed. The field of visual surveillance to identify aberrant actions has seen a significant amount of publications in the last ten years. Furthermore There are a few surveys in the literature for recognising various abnormal activities, but none have reviewed various abnormal activities, but none of them have reviewed various abnormal activities. This study presents the stateof-the-art in the field of recognizing suspicious behavior from surveillance recordings during the past tenyears. We provide a brief outline of the risks and challenges associated with detecting suspicious human activity. This article examines six aberrant behaviors, including the identification of abandoned objects, theft, falls, traffic accidents, and unlawful parking, as wellas the detection of violence and fire. Generally speaking, we have covered all the processes that have been [1] Foreground object extraction, object identification based on tracking or non-tracking approaches, feature extraction, classification, activity analysis, and recognition are some ofthe techniques that have been used to identify human activity from surveillance movies in the literature. This paper's goal is to give field researchers a literature assessment of six different suspicious activity identificationsystems together with its broad framework.[1]
Graphical Password Authentication: Image Grid Based Digital Lock for Mobile Apps
Authors: Loganathan D
Published: May 2023

Abstract: Over the past few decades, research on authentication methods has advanced significantly. While the initial focus was on using standardised password selection and management approaches to secure textual passwords, this was made possible by learning about the flaws in the existing systems based on the attacks performed on the same systems' vulnerabilities. With the rise of biometric-based authentication, the next stage in the study and development of improved solutions has begun. Although initially rather entertaining, this authentication method is very insecure. Once a person's biometrics have been stolen or replicated, new biometrics cannot be made. Compared to a person's one-step biometric authentication, biometrics in the multifactor authentication of an enterprise are less vulnerable. The development of graphical passwords is the result of all these issues with authentication systems. While multifactor graphical passwords impede smartphone users' usability and speedier processing-computational flexibility, overly simplistic graphical passwords are prone to shoulder surfing. Users of Android devices need an authentication system that is easy to use, quick, secure, and that gains faster access to the device. A study was done evaluating the usability, predictability, resistance to various attacks, and other characteristics of various graphical passwords. Grid-based graphical passwords outperformed their rivals among the different types of graphical passwords that were taken into consideration. The majority of graphical password implementations in the past have been on personal computers (PCs), while smartphone usage is far more prevalent than on PCs. We propose to develop an Android application with gridbased image-based graphical password authentication that will be secure and help a lot of users protect the secondary identities that they carry about in the form of smartphones. After evaluating which factors must remain in the system, the application was divided into five modules. Each module was first built using flowcharts, and later, the Java programming language was used to build the app in Android Studio.
Emerging Technologies and its Adoption: A Booster for Garment Development and Expansion in Tasar Silk Industry of Jharkhand with Special Reference to the Artisans and Weavers of Ranchi
Authors: Nag Dr. Shashi , Kumari Dr. Manju
Published: May 2023

Abstractt: The Tasar silk Industry has proved its potential in raising sustainable income and employment in the rural sector of Jharkhand State (India) and is a growing activity in the primary sector which aims more income to the artisans and workers of this industry. This paper entitles an artisanal industry that concentrates on the study regarding the impact of technologies on sericulture in selected area. Sericulture is an agro-industrial activity aiming to produce silk though rearing of silkworm. It involves the raising of food plants (Terminalia arjuna, Terminalia tomentosa, Shorea robusta etc) for silkworm, rearing of silkworm for production of cocoons, reeling and spinning of cocoons for production of yarn for value added benefits such as processing and weaving. The knowledge of technology has found to have greater impact on improving the productivity, production and manufacturing of Tasar Silk Fabric in terms of agriculture as well as its allied activities. This study finds out significant positive impact of knowledge about advanced technology and its adoption on the development of the sector by the artisans so that the Tasar Silk Garment Industry grows and benefit its stakeholders
A Research on Coding Quiz Application
Authors: Nannaware Puja
Published: May 2023

Abstract: Development of android-based Quiz application is mainly required by students and learners to prepare themselves. One of the major goal of our project is to facilitate students in learning, gaining and improving their knowledge skills. Users can prepare for interviews, entrance tests or any other corresponding purposes in a fresh mood and can’t get bored or frustrated due to dullness of application. We designed the application to facilitate the users to be able to take short quizzes using portable devices such as smart phones and tablets. This work deals with development of android-based multiple-choice question examination system namely Quiz. The main goal of the application is to enable users to practice for the subjective tests conducted for admissions and recruitment, with focus on Computer science field.
E-Commerce Website using Image Segmentation
Authors: Kale Yash
Published: May 2023

Abstract: Image mining is a critical research space in recent times that focuses on the supply of facts in records. this is in which records from the internet siteis mined so that informative facts can be processed and used correctly and correctly through people. Image segmentation has gained popularity in recent years due to its usefulness in improving the quality and efficiency of various computer vision applications, particularly in e-commerce websites. The paper provides a summary of the relevant literature, introduction associated with implementing this technology. The reviewed studies suggest that e- commerce websites with image segmentation technology have higher conversion rates, lower bounce rates, and increased customer satisfaction compared to those without.
Design and Development of Herbal Face Pack (HFP) from Medicinal Plant
Authors: Mulla Saira
Published: May 2023

Abstract: The objective this work is to formulate and evaluate a polyherbal face pack (HFP) for cosmetic purpose from herbal ingredients. Use of synthetic surface active agents like sodium lauryl sulphate (SLS) has been found to show adverse actions on the skin like irritation and inflammation and there's a higher rate of contact allergy to it(9) . Soapnut extracts is traditionally used in household remedies and is documented to have beneficial effects on skin. Hence the objective of the work was to formulate a HFP replacing SLS by Sapindus mukorossi.
IOT based Manhole Detection and Monitoring System
Authors: Khawate Prof. Swati , Inamdar Prof. Dr. Sharan , Battula Nitin , Cheerala Naveen , Chirivella Laxmimanasa
Published: May 2023

Abstract: With the increasing Urban population, the need for Internet of Things (IoT) based smart city applications, such as monitoring manhole covers (MC), becomes crucial. However, current MC monitoring systems lack full automation, have a short lifespan, and face design challenges from an IoT device perspective. In this study, we explore the use of compressive sensing (CS) to reduce power consumption in the analog-to-digital converter (ADC) of an IoT-based MC monitoring system, aiming to extend its lifetime. We propose two low-power analog chaotic oscillators as an alternative to the digital pseudo-random number generator (PRNG) commonly used in CS-based ADC's. The proposed systems are validated through temperature measurements, showing promising results. This research addresses circuit design challenges and improves system performance for long-term and efficient operation of IoT-based MC monitoring systems.
Analysis of Cardiovascular Disease using Machine Learning Techniques
Authors: Dabir Aishwarya , Khedkar Pratiksha , Panch Laxmi , Thakare Tejal , Pradhan Dr M A
Published: May 2023

Abstract: Detecting cardiovascular disease early is crucial in healthcare, especially in the field of cardiology. With 12 million deaths worldwide annually, the disease is a significant health concern. Early detection can lead to lifestyle changes that reduce the risk of complications. Machine learning techniques can be used to extract useful data from large datasets and make accurate predictions, requiring less investment. Machine learning algorithms can also be used to address unbalanced datasets and feature selection, which can improve diagnostic accuracy. Using ensemble learning with a machine learning algorithm, feature selection, and biomedical test values can help classify cardiovascular disease. Multiple classifier models can also be applied to improve accuracy with an ensemble classifier.
Progression of Chronic Kidney Disease in over 65-year-old Nephroprotection Program Patients in Colombia
Authors: Miranda Machado Pablo Andres
Published: May 2023

Background: Studies evaluating chronic kidney disease in older adults are scarce despite the high prevalence of the disease in this age group. In this study we have tried to determine the factors associated with the progression of chronic kidney disease in a group of patients over 65 years old.
Methods: An analytical observational study of a prospective non-concurrent cohort was performed. We included patients older than 65 years belonging to a nephroprotection program and then, we followed them for 12 months. The variables of interest were age, sex, history of diabetes mellitus, serum creatinine at baseline and at 12-month follow-up, blood pressure and use of antihypertensive drugs, high density lipoprotein and low density lipoprotein, cholesterol levels, proteinuria, and use of antiplatelet agents. The estimated glomerular filtration rate (eGFR) was calculated at baseline and at 12-month follow-up, lastly the progression of chronic kidney disease was established.
Results: 200 patients were included with an average age of 78.9 + 7.6 years, 51% (102) females, 33% (66) with a history of diabetes mellitus, with a mean initial eGFR 38.8 + 12.1 mL/min/1.73 m2. The mean of the final eGFR was 36.4 + 11.0 mL/min/ 1.73 m2; 17.5% (35) presented a decrease > 25% of the initial eGFR (progression) and 37.5% (75) showed a decrease > 5mL/min/1.73m2/ year (rapid progression). Progression and rapid progression were significantly associated with age (p = 0.03 and p = 0.001, respectively), male sex (p <0.001 and p <0.001, respectively) and proteinuria (p <0.001 and p <0.001, respectively). There were no significant associations with other variables of interest.
Conclusion: In our study, the progression of chronic kidney disease in patients older than 65 years in a nephroprotection program was significantly associated with the increased age, male sex, and presence of proteinuria.
HOSPITAL CARIJÓS: QUEREMOS OU NÃO SER COMPETENTES?
Authors: De Sousa Barros Ana Caroline , Emil Hoffmann Valmir
Published: May 2023

Objetivo: o objetivo educacional deste caso de ensino é trazer uma reflexão quanto ao processo de implantação da gestão por competências, destacando questões como avaliação de desempenho por competências, comportamento humano nas organizações e administração estratégica.
Método / abordagem: Este caso de ensino é resultado da experiência extensionista dos autores na temática em “gestão por competências” e "hospitais públicos". A partir da discussão entre gestores sobre a rotatividade dos funcionários da área meio da instituição, surge o dilema se o investimento na implantação da gestão por competências pode solucionar efetivamente o problema de rotatividade dos servidores da área meio, tendo em vista a resistência e as opiniões divergentes de alguns profissionais.
Principais resultados: o caso possibilita discussões sobre gestão por competências, avaliação de desempenho de funcionários e conflitos entre as áreas meio e fim de organizações.
Contribuições metodológicas / sociais / gerenciais: o caso pode ser aplicado a estudantes em disciplinas de graduação e pós-graduação em Administração, Contabilidade, Controle de Gestão e áreas correlatas.
 Originalidade / relevância: na situação apresentada, existe a necessidade de equilibrar as opiniões divergentes dos servidores das áreas meio e fim com a necessidade da instituição, evitando que as disparidades de objetivos prejudiquem a implantação da gestão por competências.
Memahami Fenomena Populisme di Abad ke-21
Authors: Sahlan Muhammad , Ahmad Muhammad Yunus
Published: May 2023

This article aims to discuss populism, a term in politics that is increasingly used throughout the world, including in Indonesia. Populism has been used to describe many leaders and situations in different contexts, and scholars have not agreed on a definitive formulation. This article will fill this gap by using a literature review to increase and enrich knowledge about populism and deepen its surrounding discourse, specifically academic discourse in social and political fields. This article contends that although scholars differ in their definition of populism, the political phenomenon can still be identified. Empirically, populism can be identified through behaviors, attitudes, and political rhetoric. Furthermore, the article concludes that increased populism in a global and national context is influenced by various contexts and problems that exist in different countries.

Abstrak

Artikel ini membahas tentang populisme, yaitu sebuah term politik yang akhir-akhir ini menguat di dunia, termasuk di Indonesia. Populisme telah digunakan untuk menggambarkan pemimpin dan situasi dalam konteks yang beragam, dan para scholar belum menemukan kata sepakat mengenai formulasi definisi yang tepat tentang populisme. Artikel ini mencoba mendiskusikannya dengan menggunakan pendekatan studi literatur dengan harapan dapat memberikan kontribusi dan pengayaan pengetahuan, memperdalam diskursus dan menambah wacana akademik, khususnya dalam bidang ilmu sosial dan politik. Kajian ini berpendapat bahwa meskipun para ahli memiliki pandangan yang berbeda tentang populisme, tidak berarti fenomena sosial politik ini tidak dapat diidentifikasi. Pada tingkat empiris, populisme dapat diidentifikasi melalui sikap, perilaku dan retorika politiknya. Artikel ini berkesimpulan bahwa menguatnya populisme di tingkat global dan nasional dipengaruhi oleh faktor yang beragam sesuai dengan konteks dan persoalan yang dihadapi oleh masing-masing negara.
Morphometric studies through spatial analysis using the example of the Dnieper-Donets aulacogen
Authors: Rybin I.V. , Sheverdyaev I.V.
Published: May 2023

The possibility of studying morphometric parameters of the Earth’s topographic surface using the ArcMap and digital elevation model SRTM3 with a resolution of 90 m to determine neotectonic structures, as well as associated ore clusters and deposits was considered using the method offered by V. P. Filosofov. The authors describe the technology of creating base and vertex surfaces for thalwegs and watersheds of different orders, with the subsequent subtraction of the former from the latter within one order to determine the amount of erosion cut (relief energy). As the object of the study, the Dnieper-Donets aulacogen was chosen, starting west of Kharkov and stretching to the Caspian Sea, wide from Rostov-on-Don to Millerovo. It was noted that the higher the potential relief energy is, the more powerful surface processes will be manifested in the form of active destruction of previously buried (hidden) geological structures with valuable components, which are later to be distributed throughout the territory. This study is proposed to be used to predict and search for latent mineralization; it enables identifying the root source of demolition, rational arranging geological work, and thereby reduces their cost.
KEBIJAKAN PEMBELAJARAN MKWK BAHASA INDONESIA DI PERGURUAN TINGGI: IMPLEMENTASI DAN TANTANGANNYA
Authors: Zulfadhli Muhammad , Anshori Dadang S. , Sunendar Dadang
Published: May 2023

The globalization era has had an impact on the existence of the Indonesian language. Responding to this issue, Indonesian language is important to learn through the education level in Indonesia. This study aims to describe the content, implementation, and challenges of the compulsory curriculum course Indonesian language learning policy in tertiary institutions. This research method used a literature review sourced by policy documents and scientific journal articles. The results showed that the Indonesian language learning policy was released by the government of the Republic of Indonesia in various regulations contained in Law Number 12 of 2012, Government Regulation Number 57 of 2021, and Decree of the Director General of Higher Education Ministry of Education and Culture of the Republic of Indonesia Number 84/E/KPT /2020. The existence of this policy provides an overview of the standard of learning Indonesian language in higher education. Generally, policies regarding learning Indonesian language in higher education have been implemented, although there are still various obstacles. The challenges of the implementation include advances in technological development, student language mastery, and digital-based learning components. The involvement of various parties is needed in order to achieve the expected policy objectives.
Fixed-time Event-Based Consensus Tracking for Networked Euler-Lagrange Systems with Limited-time State Constraint.
Authors: LI HE , Liu Cheng-Lin , Chen Yang-Yang , Zhang Ya
Published: May 2023

This article focuses on the problem of fixed-time consensus tracking
(FTCT) for limited-time state-constrained networked Euler-Lagrange (NEL)
systems subject to the limited communication and computation capacities.
To enable each follower to estimate leader information under
unidirectional and intermittent communication environments, an
event-based fixed-time distributed observer (FTDO) is constructed, while
excluding Zeno behavior from the analysis. Subsequently, to reduce the
control input update frequency and consumption, a backstepping-based
adaptive event-triggered local control (AETLC) strategy is proposed,
which ensures practical fixed-time convergence for all errors and
eliminates Zeno behavior. Specifically, a novel limited-time constrained
function with a unique shift function is developed, which is capable of
uniformly handling limited-time constraint, persistent constraint, and
unconstrained cases without altering the control structure. Simulation
results are eventually performed to validate the suggested
methodologies.
The role of UAE in supporting COVID-19 genomic surveillance across the EMRO for complex emergency countries
Authors: Amirtharaj Francis , Meredith Luke , Almarzooqi Sahar , Majeed Sajeed , Barakat Amal , AlMulla Mariam , AlHosany Farida
Published: May 2023

Introduction The Eastern Mediterranean region was highly exposed to
COVID-19 due to diverse challenges and lack of laboratory resources and
relevant expertise in these countries limited the quality of detection
and surveillance of circulating strains. UAE, through the Reference
Laboratory for Infectious Disease-Abu Dhabi (RLID-AD), played a central
role in providing genomic support to these countries. Methods SARS-CoV-2
samples were transported to RLID-AD with support from WHO/EMRO, then
sequenced primarily using the Midnight workflow and GridION from Oxford
Nanopore Technology and the data were analysed using the CLC platform
from Qiagen, and lineages assigned using Pangolin. Results Between April
2021 and March 2022, RLID-AD received 170 COVID-19 samples from Syria,
Yemen and Lebanon for genomic analysis. Of these , 159 were successfully
sequenced (93.5%) with >90% coverage and 30x depth, with
lineages being successfully assigned through Pangolin. The lineages
discovered were predominantly alpha, beta, and delta variants, largely
consistent with the global waves at the time. Turnaround time from
receipt at the lab to result sharing with member states was 2-3 weeks.
Conclusion The implementation of a hub-and-spoke model for sequencing
support was a key aspect to the COVID-19 response in the EMRO region.
UAE played a critical role in supporting genomics surveillance in the
region, despite the logistic challenges faced with transport and
importing of samples to UAE. The challenges faced during COVID19
pandemic clearly demonstrates the need for implementation of
national-level sequencing laboratories that contribute data to the
region, with hubs acting in technical and emergency support.
Data Branch Sharing Dual-Edge Explicit-Pulsed Level Converting Flip-Flops
Authors: Yang Yanfei , Dai Yanyun , Chen Qi , Gao Faqing , Jiang Nan , Qi Pengjia , Tong Jijun
Published: May 2023

Variable supply voltage-clustered voltage scaling (VS-CVS) is an
effective way to decrease power consumption without compromising
performance. One of the major challenges in VS-CVS design is that level
converting flip-flops(LCFFs) not only need to have low power consumption
but also high performance. In this paper, we propose two new structures
of LCFF: the data branch sharing LCFF based on conditional charging
(DBS-LCFFCC) and the data branch sharing LCFF based on precharging
(DBS-LCFFP).The new structures adopt a data branch sharing scheme to
improve the speed of the circuit as well as to reduce the number of
transistors. Based on simulation results using HSPICE with PTM 32nm CMOS
technology, the proposed LCFFs show an improvement of 19.2% to 67.2%
and 41.6% to 76.3% in power-delay-product (PDP) at 50% data switching
activity, respectively, compared to other advanced LCFFs.
Performance Study of High-Speed Homopolar Inductor Alternator
Authors: G. Vijayasree , P Mini V. , Ushakumari S.
Published: May 2023

Recently hydraulic and mechanical-based aircraft systems are replaced by
electrical-based ’on board aircraft systems’ because of their various
advantages like less volume and weight, and reliability. So electrical
power system architecture needs to be modified. In spacecraft, a major
volume is utilised for the electrical subsystem. The main requirements
of the electrical power system of spacecraft are better reliability,
less volume and weight, and improved power efficiency. Separate
power-generating sources are used for propulsion and various auxiliary
systems. Solar-based generation, nuclear-based generation, and fuel
cells are some electrical energy sources used in aircraft. More reliable
power generation techniques are required for long-duration space
missions. The multiphase alternator is a better choice for reliable
power generation. Another constraining factor for space power systems is
volume and weight because of less space availability in the aircraft.
Considering these constraining factors very high power density
alternators are suitable for space power systems. Hence, High-Speed Homo
Polar Inductor Alternator (HSHIA) is the most suitable candidate.
High-speed operation up to 1 lakh RPM is possible with this machine due
to its better power density and the special structure of the rotor. This
machine already finds application in pulse charging as well as for
energy storage by NASA and certain defense organizations. For studying
its suitability for auxiliary power generation, a performance analysis
is to be carried out. In HSHIA the performance is classified into three
levels such as magnetic, electrical, and thermal. This paper presents
the electrical performance analysis of HSHIA with different load
conditions using the 3 -D Finite Element Method.
Qualitative analysis of the Prabhakar-Caputo type fractional delayed equations
Authors: Aydin Mustafa , Mahmudov Nazim
Published: May 2023

The representation of an explicit solution to the Prabhakar fractional
differential delayed system is studied employing the far-famed Laplace
transform technique. Second, the existence uniqueness of the solution is
debated together with the Ulam-Hyers stability of a semilinear Prabhakar
fractional differential delayed system. Thirdly, the necessary and
sufficient circumstances for the controllability of linear Prabhakar
fractional differential delayed system are determined by describing the
Gramian matrix. A sufficient circumstance for the relative
controllability of a semilinear Prabhakar fractional differential
delayed system is studied via the Krasnoselskii’s fixed point theorem.
Numerical examples are offered to verify the theoretical findings.
Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber
Authors: Cea Luis , García-Feal Orlando , Nord Guillaume , Piton Guillaume , Legout Cedric
Published: May 2023

Physically-based soil erosion models are valuable tools for the
understanding and efficient management of soil erosion related problems
at the basin and river reach scales, as soil loss, muddy floods,
freshwater pollution or reservoir siltation, among others. We present
the implementation of a new fully distributed multiclass soil erosion
module. The model is based on a 2D finite volume solver (Iber+) for the
2D shallow water equations that computes the overland flow water depths
and velocities. From these, the model evaluates the transport of
sediment particles due to bed load and suspended load, including
rainfall-driven and runoff-driven erosion processes, and using
well-established physically-based formulations. The evolution of the
mass of sediment particles in the soil layer is computed from a mass
conservation equation for each sediment class. The solver is implemented
using High Performance Computing techniques that take advantage of the
computational capabilities of standard Graphical Processing Units,
achieving speed-ups of two orders of magnitude relative to a sequential
implementation on the CPU. We show the application and validation of the
model at different spatial scales, ranging from laboratory experiments
to meso-scale catchments.
Improved EPANET Hydraulic Model with Optimized Roughness Coefficient using Genetic Algorithm
Authors: CHIA-CHENG SHIU
Published: May 2023

The process of calibrating hydraulic models for water distribution systems (WDS) is crucial during the model-building process, particularly when determining the roughness coefficients of pipes. However, using a single roughness coefficient based solely on pipe material can lead to significant variations in frictional head losses. To address this issue and enhance computational efficiency, this study proposes a single-objective procedure that utilizes Genetic Algorithm (GA) for optimizing roughness coefficients in the EPANET hydraulic model. EPANET-GA incorporates an automated calibration process and a User Graphic Interface (GUI) to analyze the water head pressures of WDS nodes. Notably, the proposed method not only optimizes roughness coefficients based on pipe material but also spatial characteristics of pipes. To demonstrate the effectiveness of this method, the study builds a hydraulic analysis model for the Zhonghe and Yonghe district of the Taipei Water Department, integrating graph theory’s connectivity and the GIS database. The model was optimized with 34,783 node items, 30,940 pipes, and 140 field measurements. Results show that the optimized roughness coefficient produces a high correlation coefficient (0.9) with the measured data in a certain time slot. Furthermore, a low standard error (8.93%) was acheived compared to 24-hour monitoring data. The proposed method was further compared to WaterGEMs, and the study concludes that the proposed model provides a reliable reference for the design and routing scenario of WDS.
Accelerated Historical and Future Warming over the Middle East and North Africa in Response to the Global Temperature Change
Authors: MALIK Abdul , Stenchikov Georgiy , Mostamandi Suleiman , Parajuli Sagar , Lelieveld Jos , Zittis George , Ahsan Muhammad Sheraz , Atique Luqman , Usman Muhammad
Published: May 2023

The global average temperature has increased significantly since the
preindustrial era. Translating global warming into regional scales is
crucial to formulate effective environmental and climate policies. A
realistic assessment of regional climate change requires high-resolution
datasets. We present a new high-resolution (9 km) analysis of historical
and future regional warming over the Middle East and North Africa (MENA)
using observations, reanalysis products, and statistically downscaled
global climate models from the Coupled Model Intercomparison Project
(CMIP) Phase 5 and 6. The observed regional temperature change over the
MENA subregions appears to be up to three times faster than the global
average. Regional warming has already surpassed the 1.5 ℃ and is at the
brink of exceeding 2 ℃. By the end of the 21st century, the Arabian
Peninsula will warm from 2.66 ± 0.57 to 7.61 ± 1.53 ℃ under the low
(SSP1–2.6) and high-end (SSP5–8.5) emission scenarios, respectively.
We identify spatially distinct summer and winter warming hotspots. The
most prominent spots in summer are the Arabian Peninsula Hotspot Region
(APHR) and Algerian Hotspot Region. Major winter hotspots appear over
Mauritania in West Arica and the Elburz Mountains. Moreover, APHR has
already exceeded 2 °C of warming and will warm by about 9 °C under the
high-end emission scenario by the end of the century. The 1.5, 2, 3, and
4 ℃ global warming levels are associated with substantial regional
warming of 2.1 ± 0.2, 2.76 ± 0.2, 4.19 ± 0.25, and 5.49 ± 0.38 ℃,
respectively, over the Arabian Peninsula.