bluuebunny/crossref_metadata_2025 huggingface dataset:
Ways to introduce the concept of "vector" in geometry
Authors:   Khoja Akhmet Yassawi Kazakh-Turkish International University, Muzapparova B.R. , Koshanova M.D. ,   Khoja Akhmet Yassawi Kazakh-Turkish International University
Published: January 2024

In this paper, the methods of teaching the topic "vector" when studying the course of geometry at school are considered. One of the most difficult topics in geometry lessons for secondary students is considered to be the topics "vectors" and "Vector method in solving problems". In addition, the concept of a vector is one of the basic concepts in modern geometry. To increase the effectiveness of the study of the topic of vectors, historical analysis is considered, as well as teaching methods that students face when studying the topic. These problems are identified by special scientific methods aimed at ensuring the study of the topic of vectors in the geometry course of a secondary educational institution. The teacher, teaching students the vector method, develops their cognitive interest, because on the basis of the vector method, it will be possible to enter coordinates on the plane in the future. The topic of vectors is very important. This is because, first of all, it allows you to find a solution using vectors, making it easier to solve many problems of mathematics that are solved by other methods. In addition, it provides a great opportunity not only to make the proofs of many theorems understandable to students through vectors, but also to teach the search for solutions to problems and proofs of theorems. Secondly, the concept of vector is used in many applications of the mathematics course. For example, it is also used in school algebra and geometry, or in function theory and probability theory. Thirdly, the concept of a vector is an important concept in physics. Vectors also establish the interdisciplinary relationship between physics and mathematics.
The reality of the organizational brilliance of physical Educators in the college of Physical Education and Sports Sciences / University of Baghdad from female students point of view
Authors: Hussein Kkmais Hussein
Published: January 2024

Achieving goals effectively reflects the success of the institution. However, unless this indicator is coupled with efficiency when achieving goals, the institution will be equal in its achievements, and distinction will remain unachieved. Perhaps the role of the teaching staff in pushing the institution or college towards brilliance focuses on their ability to motivate people on the one hand and their interest in achieving brilliance for the institution. On the other hand, the importance of the research lies in the institution’s reaching a prominent position through the brilliance and creativity of teaching and achieving competition between institutions that make it more brilliance. The study seeks to achieve the goal of the reality of brilliance and reveal the organizational style of teaching in the College of Physical Education and Sports Sciences / University of Baghdad through preparing a measure of organizational brilliance. For teachers.
Factors Affecting Depression in Adolescents Who Experienced Non-face-to-face Classes: Focusing on Self-efficacy, Social Safety Awareness, Smartphone over-dependence, Media Literacy
Authors:   Global Knowledge and Convergence Association, Lee Miyoung
Published: January 2024

This study was conducted with the purpose of identifying factors that affect depression in adolescents who experienced non-face-to-face classes. Data from 648 middle school students in Daejeon, Sejong, and Chungcheong were collected, and correlation analysis and hierarchical multiple regression analysis were conducted using SPSS 29. As a result of analyzing the data, self-efficacy and social safety awareness had significant negative effects on the depression of adolescents. In addition, smartphone over-dependence had a significant positive effect on depression. However, media literacy, was not significant. The factor that had the greatest influence on depression was self-efficacy. Using the results of this study, practical plans discussed to prevent adolescents who experienced non-face-to-face classes from becoming depressed, and suggested limitations of the study and future research.
Analysis for Structural Relationship of Consumer Responses ESG on Airline industry
Authors:   Global Knowledge and Convergence Association, Lee Kyoungmi
Published: January 2024

Airlines companise have continued to contribute to society by taking advantage of each airline’s strengths, such as eco-friendly, co-existence, talent development. In addition, the airline industry’s interest in ESG management and investment is increasing than ever as the European Union (EU) stipulates that all aviation oil used will be mixed with Sustainable Aviation Fuel (SAF) from 2025. In particular, ESG(environmental, social, and governance) elements are increasing interest not only in individual companies but also at the national level. As such, ESG management is generally an important concern for various companies at a strategic level for corporate sustainability. Accordingly, This study attempted to investigate the impact of airlines’ ESG management activities on consumer attitudes, service evaluation, and corporate support and trust. ESG management activities were classified by each activity field, and the effects and relative effects of these efforts on customer attitudes were considered among various stakeholders. Through this study, we presented a measurement scale that can measure an airline’s ESG activities in a balanced manner across all environmental, social, and governance activities from the consumer’s perspective. In addition, the ESG management scale has practical significance in that airlines can comprehensively measure consumers’ perceptions and reactions to ESG activities and re-strategize them.
A study of ‘taboo’ and ‘uncomfortable’ aspects of characters in Lee Jong-myung’s novels
Authors:   Global Knowledge and Convergence Association, Mo Heejune , Kim Junghwa
Published: January 2024

For the characters in Lee Jong-myung’s novels, Lee Jong-myung was a leading figure in the founding of the Nine People’s Society, a literary organization that is indispensable in the history of modern literature. However, Lee Jong-myung would leave the group shortly afterward. “In the fall of that year, Jong-myung and Yoo-young, who were the main promoters of hypocrisy, left the group,” says Choi, suggesting that Lee Jong-myung was one of the first to form the group, but he left before the group’s activities began in earnest, though it is not clear why.
Lee Jong-myung is also one of the writers for whom there is no detailed information such as the year of death or hometown. The reason for this lack of information is that Lee Jong-myung’s work was somewhat outside of the mainstream literary scene at the time.
Contrary to these evaluations, Lee Jong-myung’s works have their own unique world. There are two main characteristics of Lee Jong-myung’s works: first, they are detailed, as if watching a movie. This is especially evident in Lee’s feature-length novel Aegeum Hell, where the descriptions of the Sambang Yaksu, the newspaper office, the streets of Gyeongseong, and the road to Cheonggyesa Temple are described as clearly as if we were watching a movie.
Another characteristic of Lee Jong-myung’s work is the presence of heavy and dark subjects, which are considered ‘taboo’ in society. Drugs, suicide, abortion, molestation, stalking, and checking the virginity of dead women are among the provocative and taboo subjects in Lee’s work. This study examines the ‘taboos’ in Lee Jong-myung’s works through the short stories “People of the Good” (1929), “Dr. Choi’s Conscience” (1932), and the full-length novel “Aegean Hell” (1933), where this tendency is particularly pronounced, and in doing so, identifies features of Lee Jong-myung’s literature that have been devalued by Lee Moo-young, Han Seol-ya, and others.I study the aspects of ‘taboo’ and ‘unpleasantness’.
A ESTRATÉGIA DA MOTIVAÇÃO E RETENÇÃO DOS PROFISSIONAIS DE SAÚDE: CASO DA DIRECÇÃO PROVINCIAL DE SAÚDE DE NAMPULA-MOÇAMBIQUE
Authors: Sapala Joaquina Joaquim Virgílio Salomão
Published: January 2024

Nos dias actuais, a motivação profissional tem um grande destaque, promovendo assim uma melhor qualidade de vida aos funcionários e influenciando directamente a qualidade dos serviços prestados ao cidadão. A boa gestão dos recursos humanos deve estar alerta ao facto de que o comportamento humano é complexo e deve ser analisado de acordo com o momento e o contexto em que o indivíduo vive. Assim sendo, é fundamental para a sobrevivência das organizações compreender como agem os processos motivadores. A pesquisa fara uma abordagem em torno da problemática da progressão da carreira profissional dos profissionais de saúde como uma estratégia para a motivação e retenção do colaborador: caso da Direcção Provincial de Saúde de Nampula (2018-2022), e tem por objectivo, analisar os impactos da progressão da carreira profissional para o desenvolvimento profissional dos funcionários da Direcção Provincial de Saúde de Nampula. Usou-se o estudo de caso porque é adequado quando se pretende investigar o como e o porquê de um conjunto de eventos contemporâneos. O problema da motivação no trabalho situa-se, inevitavelmente, no contexto da interacção dos interesses da organização com os interesses do empregado. As duas partes envolvem-se numa parceria, na qual cada uma delas apresenta, explicita e/ou implicitamente, as suas exigências e pedidos. De realçar que a liderança é um processo dinâmico de influência entre duas partes, sendo importante notar que tipo de relação ocorre entre líderes e subordinados.
Investigating Methods of Searching for Key Frames in Video Flow with the Use of Neural Networks for Search Systems
Authors: Shakhovska Natalya , Melnykova Natalia , Pobereiko Petro , Zakharchuk Maryana
Published: January 2024

Various methods of video content data analysis are presented, compared, and evaluated in this paper. Due to the analysis, the most effective strategies for video data processing involve searching for key frames within the video stream. The examined methods are categorized into consistent comparison, global comparison based on clustering, and event/object-based methodologies. Key techniques such as sequence search, classification, frame decoding, and anomaly detection are singled out as particularly valuable for comparison and matching tasks. The research further reveals that artificial intelligence and machine learning-driven methods reign supreme in this domain, with deep learning approaches outperforming traditional techniques. The employment of convolutional neural networks and attention mechanisms to capture the temporal intricacies across variable scopes is especially noteworthy. Additionally, leveraging the Actor-Critic model within a Generative Adversarial Network framework has shown encouraging outcomes. A significant highlight of the study is the proposed approach which incorporates modified Independent Recurrent Neural Networks (IndRNN) complemented by an attention mechanism. The enhancement using mathematical tools, notably the standard deviation, for key frame detection, exemplifies the potential of integrating analytical instruments to refine the system's precision. Such advancements, as presented in this research, pave the way for substantial enhancements in information systems tailored for video content analysis and source identification.
Exploring the Performance of Container Runtimes within Kubernetes Clusters
Authors: Bhattacharya Moulina Hazra , Mittal Harish Kumar
Published: January 2024

The advent of cloud computing, with its Pay-As-You-Go model, has significantly simplified IT maintenance and revolutionized the industry. In the era of Microservices, containerized deployment and Kubernetes orchestration have permeated almost every working domain, drastically reducing the time to market for software releases. Kubernetes utilizes container runtimes to manage Containers, with the Container Runtime Interface (CRI) serving as a communication medium with low-level container runtimes such as runc and kata container. With the deprecation of Dockershim, developers are left to choose between CRI-O and Containerd, two CRI implementations. This study configures a Kubernetes cluster with both Containerd and CRI-O separately and analyzes performance parameters such as throughput, response time, CPU, memory, and network utilization. Additionally, we examine the impact of using runc and kata container runtimes together within the cluster. The study, conducted using a performance script created by JMeter, reveals that different container runtimes cater to distinct business use-cases and can complement each other when used together in a cluster environment. High compute applications are best run using runc, while high-security requirements are fulfilled by kata. The study provides a comprehensive performance comparison between Containerd and CRI-O, shedding light on the depth and versatility of container runtimes.
Coalitional Game Strategy and TSSM for Efficient Load Balancing in Software Defined Networking
Authors: Nishanthi G. , Deepa R. , Gayathri S. , Jaison B.
Published: January 2024

Using distributed SDN control, software defined networking (SDN) delivers additional flexibility to network management, and it has been a significant breakthrough in network innovation. Switch migration is often used for distributed controller workload balancing. The time-sharing switch migration (TSSM) scheme proposed a strategy in which multiple controllers are allowed to share the workload of a switch via time sharing during an overloaded condition, resulting in reduced ping-pong controller difficulty, fewer overload occurrences, and improved controller efficiency. However, it requires more than one controller to accomplish, it has greater migration costs and higher controller resource usage during the TSSM operating time. As a result, we presented a coalitional game strategy that optimizes controller selection throughout the TSSM phase depending on flow characteristics. The new TSSM method reduces migration costs and controller resource usage while still providing TSSM benefits. For the sake of practicality, the proposed strategy is implemented using an open network operating system. The experimental findings reveal that, as compared to the typical TSSM system, the proposed technique reduces migration costs and controller resource usage by approximately 18%.
La Radiofrecuencia térmica en el manejo del dolor crónico.
Authors: Vallejo Ricardo
Published: January 2024

La radiofrecuencia térmica, en el manejo del dolor crónico es comúnmente empleada en pacientes con condiciones tan diversas como la neuralgia del trigémino, dolor facetario a nivel cervical, torácico y lumbar, dolor sacroilíaco y en años recientes, en el manejo de dolor crónico de cadera y rodilla.
Are the serum delta neutrophil index and systemic inflammatory index useful as predictive parameters for preeclampsia and HELLP syndrome?
Authors:   Department of Obstetrics and Gynecology, Perinatology Department, Mersin University Faculty of Medicine, Mersin, Turkey, Dal Yusuf , Karagün Şebnem , Akkuş Fatih , Akay Kasim , Coşkun Ayhan
Published: January 2024

Objective: We aimed to determine whether the serum delta neutrophil index and other systemic inflammatory index parameters can have an auxiliary effect in the diagnosis when used with other biochemical markers in preeclampsia and HELLP syndrome and to determine the role of inflammation in the pathogenesis of these diseases. Materials and methods: 121 pregnant women who met the inclusion and exclusion criteria were included in the study. 52 pregnant women diagnosed with preeclampsia and 19 pregnant women diagnosed with HELLP syndrome were included in the study group, and 50 healthy pregnant women were included in the control group. Demographic data, hematological and biochemical parameters, and inflammatory markers (serum delta neutrophil index – DNI – and systemic inflammatory index parameters) of the groups were recorded and compared between groups. Results: In terms of neutrophil lymphocyte ratio, platelet lymphocyte ratio, and DNI, the HELLP group was different from both groups. The control and preeclampsia groups were similar. In terms of monocyte-to-lymphocyte ratio, the preeclampsia group was different from both groups. The control and HELLP groups were similar. In terms of the systemic inflammatory index, all groups were similar. Conclusion: In our study, we found that when maternal serum DNI values are used together with other biochemical parameters, it can help in the diagnosis of preeclampsia and HELLP syndrome, and inflammation may play a role in the pathogenesis of these diseases. Key words: delta neutrophil index – HELLP syndrome – preeclampsia – systemic inflammatory index
Assisted oocyte activation
Authors:   Repromeda s.r.o., Brno, Czech Republic, Trávník Pavel , Ješeta Michal , Hüttelová Renata , Křen Radomír , Landsmann Lukáš , Nesvadbová Andrea , Tauwinklová Gabriela
Published: January 2024

Objective: Currently, there is a rapid increase in studies on assisted oocyte activation, which can significantly improve the process of in vitro fertilization. Fertilization of oocytes by conventional methods and by intracytoplasmic sperm injection can be affected by insufficient activation of the oocyte. The reason is mainly deviations in the enzymatic equipment of sperm or oocytes or a non-functional activation cascade. In many cases, fertilization can be achieved using artificial oocyte activation by applying calcium ion donors to the oocytes after sperm microinjection. However, opinions on the safety and reliability of this method are not uniform. The aim of the thesis is to present current knowledge about assisted oocyte activation and its impact not only on in vitro fertilization, but also on subsequent embryonic and fetal development. Methodology: Research of relevant literature in Web of Science, PubMed/Medline and Scopus databases. Results and conclusions: Based on the literature data and the authors’ own experience, it follows that this method is effective and safe from the point of view of further development of the embryo, fetus and postnatal development. Extensive meta-analyses focused on this method were carried out, which did not find a negative impact not only on the embryonic and fetal development of the individual, but this method did not have associated with a negative impact on the psychosomatic development of the children. Key words: oocyte – in vitro fertilization – embryo – artificial oocyte activation – spermatozoa
Necessary and Sufficient Conditions for Ensuring Stability and Avoiding Sinusoidal Oscillation of Uncertain Interval Systems
Authors: Yeong-Jeu Sun  , Wei-Chun Liao  , Sheng-Wei Huang  , Yu-Chi Ho  , Ting-Chia Chang  , Sheng-Chieh Chen
Published: January 2024

In this paper, two types of second-order uncertain interval systems are proposed and discussed. Based on control theory, time-domain approach, and bilinear transformation method, the necessary and sufficient conditions are derived for above two interval systems to ensure that stability can be achieved and that the output signal will not produce sinusoidal oscillations. Finally, several numerical simulations are given to illustrate the feasibility and effectiveness of the obtained results.
Tanköteles korú bevándorló gyermekek és fiatalok nyelvi integrációja a német közoktatásban
Authors: Bakó Eszter Bernadett
Published: January 2024

A tanulmány témája a tanköteles korú bevándorló gyermekek integrációja a német közoktatásban. Ez jelenleg egy kiemelten fontos és időszerű téma, részben az 2015 óta zajló jelentős bevándorlási hullám, részben az 2022-ben kitört ukrajnai háború miatt. A dolgozatban vizsgálom a migrációs folyamatokat, a bevándorló felnőttekre és a fiatalokra vonatkozó statisztikai adatokat. Részletesen tárgyalom az oktatásba való sikeres beilleszkedést és a nyelvi hátrányok leküzdését segítő programokat. Az integráció gyakorlati megvalósulásának részleteit a Donaueschingeni Oktatási Hivatalnál tett látogatásom alapján mutatom be. A tanárok továbbképzésének fontosságát és a felnőtteknek szóló nyelvkurzusokat is kiemelten vizsgálom. A családi háttér támogató szerepét is hangsúlyozom a gyermekek nyelvi fejlődésének és az iskolai előmenetelének vonatkozásában.
Insulin-like growth factor 1 and its prognostic value in the course of acute ischemic cerebrovascular events
Authors: Wypych Martyna , Domitrz Izabela , Kochanowski Jan
Published: January 2024

Introduction

The aim of the study was to evaluate insulin-like growth factor 1 (IGF-1) as a predictor of the course of an acute cerebral ischemic event (AICE). This polypeptide, by activating receptors that are present in most tissues, including the brain, mediates the anabolic activity of growth hormone (GH) and its impact on growth and maturation processes, as well as organisms’ survival time. AICE can occur in the form of a transient ischemic attack (TIA) or an ischemic stroke (IS).

Material and methods

The study included 86 participants. The correlation between serum IGF-1 concentration and the clinical status of 56 patients on days 1 and 9 of AICE, as well as risk factors and the course of the disease, were prospectively analyzed. The control group consisted of 30 healthy volunteers.

Results

Patients with a minor baseline neurological syndrome had higher serum IGF-1 concentrations than patients with severe baseline neurological dysfunctions. Multidimensional analyses showed that high IGF-1 values independently determined the worse course of the disease, especially in patients with a severe neurological deficit present on the first day of AICE.

Conclusions

Our results indicate that the high level of circulating IGF-1 on the first day of AICE is an independent factor determining the unfavorable course of the stroke, and this relationship is proportional to the severity of the baseline neurological deficit. The study also revealed a positive correlation between the decreased plasma IGF-1 concentration on the first day of AICE and the severity of neurological symptoms.
Review of Digitalization using Artificial Intelligence Maturity Models: The Case of American Automotive SMES
Authors: Salian Dharmender
Published: January 2024

The purpose of this study is to review studies related to Artificial Intelligence (AI) maturity models (MM) in automotive manufacturing in a systematic manner. SMEs in the automotive industry must embrace digitalization to remain competitive. SME's employ a large segment of the USA's workforce. SMEs had not been aggressive in digitalization due to scarce funds, but the benefits of operational efficiency, quality improvement, cost reduction, and innovative culture have made it attractive to consumers. A growing number of operations are being digitalized using Artificial Intelligence techniques. In this paper, AI applications in SMEs are examined through the lens of an AI maturity model.
An Intelligent Approach to Code-Driven Test Execution
Authors: Khankhoje Rohit
Published: January 2024

In the constantly evolving world of software development, it is crucial to have effective testing methodologies in order to ensure the strength and reliability of applications. This scholarly article presents a new and intelligent approach to test execution that is driven by code and utilizes machine learning to greatly improve adaptability and accuracy in testing processes. Traditional testing methods often struggle to handle changes in code, resulting in less than optimal test execution. Our proposed method utilizes machine learning techniques to predict the impact of code modifications on test results, allowing for a more precise test execution strategy. We have demonstrated significant improvements in test execution efficiency, reducing unnecessary tests and speeding up feedback cycles. The following discussion examines these findings, addresses potential limitations, and suggests future areas for improvement and expansion. Notably, our methodology explains how Git commits aid in updating features, and how the machine learning model predicts the updated feature names. This predicted feature name is then integrated into BehaviorDriven Development (BDD) test selection and execution using standard BDD frameworks. By seamlessly incorporating machine learning into the testing process, developers can achieve greater precision and effectiveness, making significant progress in overcoming challenges posed by changes in code in modern development environments.
3D Convolution for Proactive Défense Against Localized Adversary Attacks
Authors: Ghebrechristos Henok , Alaghband Gita
Published: January 2024

This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks (CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations. When combined with 3D convolution and deep curriculum learning optimization (CLO), it significantly improves the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10 and CIFAR-100)and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing accuracy improvements over previous techniques. The results indicate that the combination of the volumetric input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating adversary training.
Unsupervised Multi-Scale Image Enhancement using Generative Deep Learning Approach
Authors: Sharma Preeti , Kumar Manoj , Sharma Hitesh Kumar
Published: January 2024

To produce super-resolution images, it is essential to eliminate the noise elements and give a clear noisefree output. To achieve this purpose multiscale image representation is found to be effective in many ways for its accuracy of correct feature extraction capacity. This denoising approach is integrated as a chosen enhancement tool in the form of an ensemble GAN model, and accordingly, the generator-discriminator training concept is transformed to adopt the approach as per the desired demands. In this research, a multiscale image approach is implemented using an ensemble GAN model with hybrid discriminator architecture. No one form of noise is "ideal" to eliminate while denoising with the proposed model. Instead, based on the properties of the data and the noise inherent in it, the proposed ensemble GAN can handle various sorts of noise.The technique optimises training through simultaneous generator and discriminator model updates, improving output quality, by using the least loss value for discriminator selection. Inception Score (IS) and Fréchet Inception Distance (FID) evaluations show that it outperforms pixel-based denoising, with an amazing accuracy of 99.91%.
Factors Associated with Severity of COVID-19 Illness in Cancer Patients
Authors: Nasir Maimoona , Nadeem Muhammad , Amjad  , Umair  , Mehmood Faisal
Published: January 2024

Objective: To identify the various risk factors associated with severe COVID-19 complications in cancer patients.
Study design: Cross-sectional study.
Place and duration of study: Combined Military Hospital, Rawalpindi Pakistan, from Jun to Nov 2022.
Methodology: Seventy-one cancer patients with COVID-19 infection confirmed by PCR test on nasopharyngeal swab were included in the study. They were assessed for their, ECOG status, smoking habit, comorbidity, vaccination status, cancer type, lung involvement and chemotherapy after written informed consent. COVID-19 symptoms were categorized.
Results: Out of 71 patients included in the study, 16(22.5%) cancer patients had asymptomatic COVID-19 infection, 34(47.9 %) patients had mild symptoms, 13(18.3%) had moderate disease, and 7(9.9%) had severe COVID-19 illness. A significant association was found between severity of COVID-19 illness with age, gender, ECOG status, presence or absence of comorbid, vaccination status and type of malignancy (p-value<0.05).
Conclusions: Old, male, frail and unvaccinated patients with comorbidity more frequently developed serious COVID-19 disease. Patients with hematologic or lung malignancies had worse outcomes, while vaccinated ones were protected against severe disease. Chemotherapy or smoking had no significant impact on the severity of COVID-19 illness.
La imposibilidad de bonificar las tasas por instalaciones deportivas municipales a los empadronados
Authors: Martínez Sánchez César
Published: January 2024

En este comentario se analiza críticamente la Sentencia del Tribunal Supremo de 20 de julio de 2023 (rec. núm. 4638/2021), que declara que un ayuntamiento no puede establecer diferencias cuantitativas en una tasa por la utilización de frontones, piscinas e instalaciones polideportivas municipales atendiendo a que los usuarios estén o no empadronados en el municipio, al no erigirse el empadronamiento, a juicio de la sala, en un criterio razonable y objetivo a los efectos de justificar aquellas. El análisis se centra en dos cuestiones especialmente controvertidas: por un lado, el alcance de la reserva de ley en relación con la posibilidad de establecer beneficios fiscales en las tasas locales y, por otro lado, la utilización del empadronamiento como criterio para el establecimiento de diferencias en la cuota tributaria de este tipo de tasas, a la luz del principio de igualdad.
Shifting Reading into a Socially Constructed Activity: A Case Study on the Benefits and Challenges of Using
Authors: Lauricella Sharon , Craig Christopher , Kay Robin
Published: January 2024

Perusall is a social annotation tool that engages students in digital course materials. The system facilitates student interaction via posts consisting of questions, responses, and comments on the video, written materials, and audio sources. This paper considers student perceptions of Perusall in an upper-year social science course (n=28). Students described Perusall as fun and engaging because they enjoyed positive communication with classmates, and the system was easy to use. Challenges of using the tool reflect the need for students to learn a new interface and technology glitches such as disappearing comments. We include suggestions for instructors wishing to use Perusall in this paper.
Advances in Aloe Vera Pharmacology: An In-Depth Analysis of its Properties and Principal Active Compounds
Authors:   Department	of	Biochemistry,	Seth	Kesarimal	Porwal	College	of	Arts	and	Science	and	Commerce,	Kamptee,	Afiliated	to	Rashtrasant	 Tukadoji	Maharaj	Nagpur	University,	Maharashtra,	India., Chahande Shalini	Jiwan , Rawat Anurag , Gupta Swapnil , Batool Seema , Pingale Akshay	Kailas ,   Himalayan	Institute	of	Medical	Science,	Jolly	Grant,	Dehradun,	Uttarakhand	248016,	India.,   School	of	Management	Sciences,	Varanasi	Uttar	Pradesh	221011,	India.,   Universite	Paris	Saclay	Development	and	Environmental	Studies,	Arctic	Studies,	France,   Department	of	Forest	Products	YSP	UHF	Nauni-Solan	Himchal	Pradesh,	India.
Published: January 2024

Aloe vera, traditionally used for treating skin wounds (burns, cuts, insect bites) and digestive ailments, is renowned for its antiinlammatory, antimicrobial, and wound-healing properties. Recent research focuses on validating these traditional uses and elucidating the mechanisms behind them, with an emphasis on identifying responsible compounds. Key compounds like aloe-emodin, aloin, aloesin, emodin, and acemannan have been extensively studied. Moreover, contemporary research has explored new applications for Aloe vera and its active constituents. This review synthesizes the latest pharmacological studies (in vitro, in vivo, and clinical trials) published in English over the past six years (2014–2019). Particularly noteworthy is the emerging pharmacological evidence showing predominant research in anti-cancer activities, skin and digestive system protection, and antimicrobial properties. While most research to date has been in vitro and in vivo, clinical trials have primarily involved Aloe vera as a whole, rather than its isolated compounds. Consequently, investigating the clinical effects of key metabolites in various human conditions and diseases could provide valuable insights. The encouraging outcomes of basic research in these areas suggest a need for more extensive clinical trials to evaluate the practical application of Aloe vera and its primary compounds, particularly in areas like bone health, cancer, and diabetes management.
Ischemic Stroke in Corona Virus Disease 2019 with Vascular Cognitive Impairment and Pulmonary Tuberculosis – A Case Report
Authors: Wongkar Gloria , Juswanto Gerard , Rombeallo Lidia , Mutiara Titi , Tansil Irwan , Firmansya Firmansya
Published: January 2024

Background: COVID-19 is a global pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). This virus was declared by the World Health Organization (WHO). Many other conditions, including neurological conditions, may complicate COVID-19. COVID-19 is known to increase the risk of ischemic stroke due to COVID-19-associated coagulation (CAC) and the neurotropism of SARS-CoV-2. Tuberculosis is a chronic disease that can cause stroke with vasculitis and hypoxia pathways. Tuberculosis also lowers the immune system, making it easier to get infected by SARS-CoV-2. This case aimed to report a case of recurrent ischemic stroke in COVID-19 with VCI and Pulmonary TB in Biak, Papua, Indonesia. Case: A man-69 years old with vascular cognitive impairment because of their first ischemic stroke currently comes with recurrent ischemic stroke with right hemiparesis and right central facial nerve paralysis. The patient has a history of pulmonary TB on treatment. In the course of the patient’s illness, the patient has worsening consciousness and oxygen saturation; CT Thorax shows right collapse pneumothorax bronchopneumonia with a positive SARS-CoV-2 PCR test. Conclusion: Ischemic stroke can be present along with COVID-19, especially in severe conditions with the existence of pulmonary TB coinfection.
Nursing intervention in the care of patients with diabetes mellitus
Authors: Villa Solís Laura Fernanda , Lascano Sánchez Adriana del Rocío , Ortiz Martinez Cinthya Anabel , Viteri López Alba Maribel , Curichumbi Guama María Rebeca
Published: January 2024

Diabetes mellitus is a chronic disease that affects millions of people around the world. It is characterized by an imbalance in blood glucose levels, which can have serious long-term health consequences. Proper care of patients with diabetes mellitus is essential to control the disease and prevent complications. Nursing intervention plays a crucial role in the care of patients with diabetes mellitus. Nurses are trained to provide comprehensive and personalized care, addressing both the physical and emotional aspects of the disease. Objective: The objective of this research project is to know what diabetes mellitus is, its care and to analyze a case study that has a reliability and significance instrument. Method: The qualitative method of systematic review was selected through the PRISMA selection method, in which through the selection processes an article is defined which meets all the selection filters. Results: Through the participation of 34 nursing professionals who work in health institutions of the first level of care in the state of Puebla. Based on the results of the pilot test, a final test was carried out with a descriptive and cross-sectional design, using convenience sampling. The total sample consisted of 148 nursing professionals from a Health Center with Expanded Services in the State of Puebla. Conclusion: Through this review, information was obtained on various nursing interventions carried out in different parts of the world with the aim of promoting self-care in patients with diabetes mellitus. These interventions reflect the interest in improving self-care in people living with this disease.
PERANCANGAN SISTEM INFORMASI PENJUALAN MOTOR LISTRIK PT. TALABU
Authors: Edo Arribe  , Anjally Jayema  , Fikri Wanda Putra
Published: January 2024

This journal discusses the information system that will be designed as a means of selling electric motor by PT Talabu.Traditional motor cars are being replaced by more ecologically friendly electric motors, which are growing in popularity. PT. Talabu, an electric motor sales company, faces problems in inventory management and sales processes. This study's primary goal is to develop a sales information system that can help PT. Talabu in managing inventory and its operations. This research uses system needs analysis, database design, and user interface development. At the stage of analysis of system needs, the researchers found the primary needs of PT. Talabu to conduct sales operations and inventory management. This analysis shows that a database is intended to store data about customers, electric motors, and sales transactions. In addition, the app is simple to use and user-friendly.
the Gaya Tokusatsu Pada Komik Islami Berjudul Ultimate Glad
Authors: Hamdanu Ayyub HBN , Dena Naufa Nabilla  , Santi Widiastuti
Published: January 2024

Tokusatsu merupakan salah satu budaya Jepang yang populer di dunia, termasuk di Indonesia. Penelitian ini merupakan penelitian analisis gaya Tokusatsu pada komik bertema Islami berjudul Ultimate Glad. Penelitian ini dilakukan untuk mengetahui alasan komik Ultimate Glad memilih gaya Tokusatsu untuk dipadukan dengan tema Islami, dan untuk mengetahui adakah kelebihan dan kekurangan dari gaya Tokusatsu yang dipadukan dalam komik Islami berjudul Ultimate Glad. Penelitian ini menggunakan metode penelitian deskriptif kualitatif dengan sumber data yang diperoleh dari wawancara dengan penerbit komik Ultimate Glad, dokumentasi, dan testimoni dari pembaca komik Ultimate Glad. Dari penelitian ini dapat diambil manfaat bahwa gaya Tokusatsu dari Jepang dapat dipadukan dengan baik dengan tema lain, termasuk tema Islami, meski dengan cara yang tidak mudah.
Perancangan Desain Packaging Untuk Aksesoris Pernikahan Wedding Planner Dodok Lawang Banyumanik Semarang
Authors: Nugroho Setiyo adi , Yulfiani Rizka Amalia , Zaenudin Ahmad , Rudjiono Rudjiono
Published: January 2024

Product packaging has a very important role in attracting consumers, making consumers select the goods and serving as a tool for brand promotion. Using images, colors, and text, graphic designers can apply design principles to produce visually appealing packaging, highlight the benefits of a product, and give it a unique personality. Dodok Lawang runs a business in the form of services, namely making dowries, gifts, ring boxes and gift boxes. In this research, we developed packaging making/with the aim of renewing old packaging so that it appears more attractive. The form of packaging for the wedding planner is in the form of boxes and paper bags, as well as leaflets with a simple but still elegant design concept. validation from media experts and material expert have a result that the product is valid to be used as a protecting/wrapping of product properly. From the user's side, this design is effective because the information and visuals acquired from the packaging design are better understood by the user.
SEMIOTIKA VISUAL LOGO UNIVERSITAS ICHSAN GORONTALO
Authors: Siska udilawaty  , Kemal Ilham Pramudya  , Wicandri Pasambuna
Published: January 2024

Penelitian ini menggunakan metode kualitatif dengan analisis semiotika dari Roland Barhes. Semiotika merupakan metode untuk analisis tanda guna menemukan makna dalam fenomena sosial dan budaya.  Tujuan penelitian ini adalah untuk mengetahui makna visual apa yang terkandung di dalam logo Universitas Ichsan Gorontalo yang digunakan sebagai identitas instansi dilihat dari makna denotasi, makna konotasi dan mitos. Identitas Perusahaan merupakan cerminan dari visi, misi yang divisualisasikan melalui logo. Penelitian ini menggunakan metode kualitatif deskriptif yaitu data yang dikumpulkan berbentuk kata-kata dan gambar. Dengan logo yang tepat pesan mengenai identitas yang diinginkan perusahaan dapat terwakilkan dengan efektif .Teknik pengumpulan data menggunakan teknik dokumentasi/kepustakaan dan observasi . hasil penelitian ini akan menjelaskan makna logo universitas Ichsan Gorontalo yang memiliki tanda/ simbol serta warna yang akan dibedah menurut pendekatan Roland Barthes.
Factors Influencing E-Banking Use In Batam: A User Perception Analysis
Authors: Mulyanto Mulyanto , Angga Wahyudi  , Ile Arbertus  , Ari Firmansah  , Jhon Lim
Published: January 2024

Studi ini menyelidiki faktor-faktor yang mempengaruhi adopsi dan penggunaan perbankan elektronik di Batam, Indonesia, mengingat lonjakan global dan regional dalam e-banking. Tujuan utamanya adalah untuk melihat bagaimana kenyamanan, aksesibilitas, penghematan biaya, dan kualitas layanan mempengaruhi adopsi dan penggunaan berkelanjutan dari layanan ini, memberikan wawasan untuk membantu lembaga keuangan dan pembuat kebijakan merumuskan strategi yang lebih mempromosikan adopsi e-banking. Menggunakan metodologi penelitian kuantitatif, menampilkan enam variabel: kegunaan yang dirasakan, norma subjektif, kemudahan penggunaan yang dirasakan, niat untuk menggunakan, teknologi yang dirasakan, dan risiko yang dirasakan. Data, yang dikumpulkan dari 400 peserta melalui survei, menunjukkan bahwa variabel spesifik tidak terpengaruh oleh semua kecuali tiga persepsi kegunaan, teknologi, dan bahaya. Anehnya, ketika datang ke e-banking, norma subjektif memiliki dampak yang jauh lebih kuat pada konsumen daripada kenyamanan penggunaan pada keinginan mereka untuk menggunakan. Untuk penelitian ke depan, pandangan demografis yang lebih jelas dapat diperoleh dengan mempertimbangkan target responden dan memperluas cakupan di luar Kota Batam.
Systematic Literature Review terhadap Klasifikasi Emosi pada Lirik Lagu Berbahasa Ambon menggunakan Metode Bidirectional LSTM dengan Glove Word Representation Weighting
Authors: Kholida Zia Abidin  , Arief Setyanto  , Rudyanto Arief
Published: January 2024

One form of text that can express emotions is lyrics. Lyrics are a type of literary work expressed in the form of words, the contents of which can express the songwriter's personal feelings, thoughts, and emotions. Therefore, the lyrics can be used as an object of research on the classification of emotions. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results. This research was carried out systematically and the results were measurable. Descriptive qualitative research was used in this research. The results of identification based on case studies and statistics show that the reviews of popular topics are identical. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results.
A random forest algorithm for the prediction of cloud liquid water content from combined CloudSat/CALIPSO observations
Authors: Schulte Richard M. , Lebsock Matthew D. , Haynes John M. , Hu Yongxiang
Published: January 2024

Abstract. A significant fraction of liquid clouds are not captured in existing CloudSat radar-based products because the clouds are masked by surface clutter or have insufficient reflectivities. To account for these missing clouds, we train a random forest regression model to predict cloud optical depth and cloud top effective radius from other CloudSat and CALIPSO observables that do not include the radar reflectivity profile. By assuming a subadiabatic cloud model, we are then able to retrieve a vertical profile of cloud microphysical properties for all liquid-phase oceanic clouds that are detected by CALIPSO’s lidar but missed by CloudSat’s radar. Daytime estimates of cloud optical depth, cloud top effective radius, and cloud liquid water path are robustly correlated with coincident estimates from the MODIS instrument onboard the Aqua satellite. This new algorithm offers a promising path forward for estimating the water contents of thin liquid clouds observed by CloudSat and CALIPSO at night, when MODIS observations that rely upon reflected sunlight are not available.
Seasonal foraging behavior of Weddell seals relation to oceanographic environmental conditions in the Ross Sea, Antarctica
Authors: Chung Hyunjae , Park Jikang , Park Mijin , Kim Yejin , Chun Unyoung , Yun Sukyoung , Lee Won Sang , Yoon Seung-Tae , Lee Won Young
Published: January 2024

Abstract. Understanding the foraging behavior of marine animals is crucial for assessing their ecological significance and responses to environmental changes. In the context of Antarctica, marine animals face rapid and profound environmental changes related with global warming. However, our understanding of their responses remains limited owing to the formidable challenges inherent in conducting observations, particularly during the harsh austral winter months. In this study, we investigated the influence of changes in seawater properties and light conditions on the seasonal foraging behavior of Weddell seals (Leptonychotes weddellii) in the Ross Sea, Antarctica. We affixed 35 Weddell seals with CTD tags to record their locations and dive profiles, including depth, head acceleration, temperature, and salinity. We found that seals foraged more frequently in modified shelf water and ice shelf water compared to Antarctic surface water. This preference could be connected to greater food availability. Additionally, seals also dove to greater depths and displayed increased activity in capturing prey during daylight hours. This behavior may correspond to the diel vertical migration of pelagic prey in response to varying light conditions. Our findings suggest that Weddell seals have adjusted their foraging behaviors to adapt to spatial and temporal changes in oceanographic conditions. This highlights the importance of extrinsic factors in estimating their seasonal foraging behavior.
Shallow boundary layer heights controlled by the surface-based temperature inversion strength are responsible for trapping home heating emissions near the ground level in Fairbanks, Alaska
Authors: Cesler-Maloney Meeta , Simpson William , Kuhn Jonas , Stutz Jochen , Thomas Jennie , Roberts Tjarda , Huff Deanna , Cooperdock Sol
Published: January 2024

Abstract. In cold climate cities, like Fairbanks, Alaska, during winter, reduced vertical mixing in the atmosphere leads to pollution trapping and concerningly high PM2.5 concentrations at ground level. To study pollution trapping, we simulated dispersion of SO2 from home heating emissions during the ALPACA-2022 field study in Fairbanks, Alaska using the Platform for Atmospheric Chemistry and Transport one-dimensional model (PACT-1D). Eddy diffusion coefficients that control vertical transport were parameterized by the near-surface temperature inversion strength according to stable boundary layer (SBL) theory and horizontal export was calculated from the wind speed. The model parameterized the SBL height as a function of the near-surface inversion strength, with the SBL height varying between 50 m for weak inversions down to 20 m for strong inversions. The model results were compared to long-path differential optical absorption spectroscopy (LP-DOAS) concentration profiles and in-situ observations of SO2 over the range of 3 m to 191 m above downtown Fairbanks over a 33-day period in winter and achieved excellent agreement (R = 0.88). Sensitivity studies showed that the model is most sensitive to the SBL height and the associated eddy diffusivity profile. Model-derived pollution residence times in Fairbanks are on the order of hours during winter, with a median steady state residence time of 2.1 hours under stable atmospheric conditions, indicating there is limited time for chemical processing.