bluuebunny/crossref_metadata_2025 huggingface dataset:
THE IMPLEMENTATION OF CHARACTER EDUCATION TO SHAPE THE STUDENTS' LEARNING MOTIVATION TO LEARN ENGLISH
Authors: Enizah Vovi , Djunaidi Djunaidi , Marleni Marleni
Published: January 2024

Implementing character education in elementary schools has become mandatory. Because apart from the rules, it is also the obligation of educational institutions to educate their students. This article aims to explore how character education can be implemented effectively in the context of forming students' learning motivation in English lessons. English is a foreign language that has a central role in the world of education. In line with current curriculum demands, English language learning in schools is expected to not only focus on increasing students' communication competence in English, but also have a positive impact in instilling and shaping students' character and fostering motivation in learning. The research method used is field research, qualitative approach, primary and secondary data sources, data collection techniques using observation, interviews, documentation, data analysis techniques include data reduction, data presentation, and conclusion drawing (verification). The research results obtained at SD Negeri 231 Palembang as an implementation of character education include: students are more enthusiastic and enthusiastic when learning English. In its implementation there are inhibiting factors including limited time and inadequate facilities
ANALYSIS OF TEACHER PROFESSIONAL COMPETENCE IN UTILIZING INFORMATION AND COMMUNICATION TECHNOLOGY
Authors: Tamara Yoan , Hermansyah Hermansyah , Marleni Marleni
Published: January 2024

In the industrial era 4.0, information and communication technology can be used optimally to achieve good efficiency, almost all industries and agencies have used digital media. In the world of education, technology is developing rapidly after the Covid-19 pandemic, because the pandemic has forced digital changes in the world of education and we need a good understanding and knowledge about the types of students who use digital technology in the learning process. Information and communication technology is a multimedia-based learning medium technology involving text, images, sound, video and the internet. From this background, there are 2 formulations of the problem How do teachers use information and communication technology in the learning process and what are the factors that become obstacles when using ICT. This research is qualitative research and data collection is done using observation, interview tests, student assessment questionnaires against teachers and documentation. This research was conducted to analyze professional teachers who are competent in using information and communication technology in the learning process. The subjects and informants of this study were English teachers and students of class X Mia 1 and Mipa 2. The conclusion obtained after conducting interviews with English teachers and students is that in almost every meeting they use information and communication technology as a learning medium to assist teachers in explaining or describing the material to be taught so that students can easily understand the material presented and motivate students to be more creative and active in the process of learning and learning by =using information and communication technology to, help students find broader information and make it easier for them to communicate during the learning process. English teachers are sufficiently proficient in ICT-based learning media when the learning takes and use media according to the teaching material.
THE INFLUENCE OF THE BUZZ GROUP DISCUSSION LEARNING METHOD ON STUDENT LEARNING OUTCOMES IN THE ENGLISH SUBJECT SDN 69 PALEMBANG
Authors: Avendo Dian , Djunaidi Djunaidi , Marleni Marleni
Published: January 2024

This thesis discusses the influence of the Buzz Group Discussion Learning Method on Student Learning Outcomes in English Subjects at SDN 69 Palembang. This research aims to determine (1) the English learning outcomes of class III students at SD Negeri 69 Palembang (2) to determine the English learning outcomes of students using the buzz group discussion learning method (3) to determine whether there is an influence of the buzz group discussion learning method on the results learning English for class III students. This type of research is Quantitative research with Pre-experimental design in the form of One Group Pretest-Posttest design, the subjects of this research are class IIII students at SD Negeri 69 Palembang, the sample is class III as the experimental class, and class III as the control class. Based on the results of descriptive data analysis, the average score for the two groups was obtained, namely the control class (pretest) at 41.25, while the results for the experimental class (posttest) were 67. Meanwhile, based on the results of the t-test calculations, it was found that the tcount value was 8, 02 while ttable with df 38 with a level of 0.05 then ttable = 2.75. So it is stated that tcount > ttable = 8.02 > 2.75 so that tcount is declared significant where Ho is rejected and Ha is accepted. Thus, the hypothesis states that there is an influence of the buzz group discussion learning method on the English learning outcomes of class III students at SD Negeri 69 Palembang.
РОЗРОБКА ПРОТОТИПА СИСТЕМИ АВТОМАТИЗОВАНОГО ЕКОЛОГІЧНОГО МОНІТОРИНГУ СТАНУ СТІЧНИХ ВОД
Authors: ЗАЩЕПКІНА Наталія , ПИРОГОВ Андрій
Published: January 2024

Моніторинг води - це система постійного спостереження, збирання, оброблення, передавання, збереження та аналізу інформації про стан водних ресурсів, прогнозування його змін і розроблення науково обґрунтованих рекомендацій для прийняття рішень про запобігання негативним змінам якості води та дотримання вимог екологічної безпеки.

Крім того, моніторинг є ключовим елементом оцінки екологічного стану водних екосистем. Він виявляє зміни в якості води, вплив людської діяльності та зміни клімату на екосистеми. Це важливо для збереження біологічного різноманіття, забезпечення стійкості екосистеми та планування ефективних заходів з охорони та відновлення водних ресурсів.У статті наведено особливості застосування мікропроцесорів для технології дистанційного моніторингу стану якості води у реальному часі. Проаналізовано програмне забезпечення для розробки ефективного алгоритму екологічного моніторингу, а також визначено принципи його функціонування. Деталізовано процес впровадження розробленої системи в загальну інфраструктуру керування мережею метереологічної обстановки.

Розроблено систему оперативного реагулювання на ситуацію щодо рівня води, її якості, витрат та температурний режим. Це дозволяє відстежувати динаміку та виявляти потенційні проблеми, а формат агрегованих даних придатний для подальшого аналізу. Запропоновані засоби можуть бути використані в системах технічного обслуговування розумними містами.
АНАЛІЗ МЕТОДІВ І ЗАСОБІВ КЕРУВАННЯ АВТОНОМНИМИ БЕЗПІЛОТНИМИ ЛІТАЛЬНИМИ АПАРАТАМИ
Authors: ТАНАСІЙЧУК Степан
Published: January 2024

Наголошено, що в даний час, безпілотні літальні апарати (БПЛА) використовуються в широкому діапазоні цивільних ролей, починаючи від пошуку та порятунку, спостереження, моніторингу дорожнього руху, моніторингу погоди та пожежогасіння, до персональних безпілотників та ділової фотографії на основі безпілотників, а також відеозйомки, сільського господарства та навіть служб доставки. БПЛА мають широке використання у війні з рф. Проаналізовано найбільш поширені методи керування БПЛА. Для основних методів дано опис. Сказано, що серед інтелектуальних моделей, які описують порядок переміщення БПЛА у просторі можна назвати метод побудови маршрутів БПЛА. В основі методу лежить використання математичного очікування інформаційної ентропії для оцінки оптимальності альтернативних варіантів маршруту. Останнім часом все частіше використовують тріангуляції Делоне для вирішення завдання планування маршрутів БПЛА. У цьому випадку маршрут формується у вигляді набору проміжних пунктів маршруту (ППМ), проходження яких є обов’язковим. На характер маршруту руху БПЛА між умовними точками на карті жорстких обмежень не накладається, що дозволяє будувати траєкторії, максимально враховують динамічні можливості БПЛА. Однак, відомі методи планування маршруту, що базуються на тріангуляції Делоне не враховують такі важливі особливості: наявність невизначеності в розташуванні джерел потенційної загрози (постів протиповітряної оборони противника); наявність у складі групи БПЛА різних типів, що передбачає їх ранжування за ступенем важливості; неоднорідність складу наземних цільових об’єктів, що вимагає в процесі планування обліку ступеня важливості кожного з них. Завдяки технічному прогресу у сфері супутникових технологій нині реалізуються проєкти низькоорбітальних систем (LEO). Kuiper від Amazon, Starlink від SpaceX і OneWeb – це три з основних розроблюваних проєктів угруповань супутників LEO наступного покоління, які обіцяють забезпечити високошвидкісне широкосмугове з’єднання з малою затримкою по всьому світу. Констатовано, що перспективним інноваційним обладнанням для керування БПЛА є використання бездротового зв’язку, що поєднує конвергенцію в наземних, супутникових та безпілотних станціях. Особливості структури атмосфери і переваги супутникових технологій дають змогу застосовувати багаторівневі висотні моделі, за допомогою яких можна збільшити пропускну здатність.
Sentiment Analysis of User Satisfaction Towards Sales Promotion of Gojek Application Service Using Support Vector Machine (SVM)
Authors: Haryani Calandra Alencia , Widjaja Andree E. , Hery Hery , Ferdinand Ferry Vincenttius
Published: January 2024

Customer satisfaction is a crucial factor for the sustainability of a company, including tech companies like Gojek. This condition exists because customer satisfaction affects the continuation of customers purchasing or reusing the company's services. Promotions or offers are commonly applied strategies by companies to enhance attractiveness among competitors and improve customer satisfaction. Therefore, this research aims to understand customer sentiments towards promotions or offers provided by the Gojek company to develop better promotional strategies by increasing customer satisfaction. The data source for this research comes from user tweets on the social media platform Twitter which has now changed to "X". The method used to determine the sentiment of this data is the support vector machine.
Prostorna i socijalna obilježja pandemijske gripe 1918. – 1919. u Splitu
Authors: Mirošević Lena , Mić Antonia
Published: January 2024

Pandemija španjolske gripe, koja je na početku 20. stoljeća zahvatila gotovo cijeli svijet, smatra se najtežom i najopasnijom epidemijom. Nije zaobišla ni prostor Hrvatske (tada u sastavu Austro-Ugarske Monarhije,) pa tako ni njezinu južnu primorsku regiju Dalmaciju i grad Split. U radu se na primjeru grada Splita analiziraju prostorne i demografske odrednice smrtnosti stanovništva od španjolske gripe 1918. i 1919. (tj. od ožujka 1918. do travnja 1919.). Rad se temelji na podatcima crkvenih matičnih knjiga umrlih koje se čuvaju u Nadbiskupskom arhivu u Splitu te novinskim člancima. Analiza prostornog rasporeda mortaliteta u gradskim naseljima pokazala je da je na broj umrlih značajno utjecala gustoća naseljenosti, ali i društvene i gospodarske prilike ratnog i poratnog razdoblja. U radu su analizirani članci „Novog doba“ koji se odnose na španjolsku gripu zbog praćenja tijeka i širenja bolesti te iščitavanja informiranja, ali i oblikovanja javnog mišljenja. Analiza socijalnih i demografskih aspekata mortaliteta uzrokovanog pandemijom 1918. i 1919. u Splitu nije pokazala odstupanja u odnosu na druge prostore Hrvatske i svijeta. Na taj su način dobno-spolni, prostorni i socijalni okvir mortaliteta te medijski okvir analogni drugim nacionalnim i inozemnim istraživanim područjima.
Society’s Perception on The Quality of Public Services and The Discourse on The Splitting of Nagari Manggopoh Agam
Authors: Aris Sarmen , Bustamin Bustamin , Ningsih Yulia , Lani Oktri Permata , Abdullah Raihanah
Published: January 2024

This study aims to determine the public's perception of the quality of public services in Nagari Manggopoh and to determine the public's perception of the discourse on the division of Jorong in Nagari Manggopoh. This research uses a descriptive quantitative method. Respondents came from the Nagari Manggopoh community a research data collection using questionnaires and field observations. Data were analyzed using technique analysis percentage descriptive. The study results show that people's perceptions of the quality of public services in Nagari Manggopoh showed very good and good, reaching 88%. Meanwhile, the community's perception of the village management discourse (Jorong Splitting) in Nagari Manggopoh shows a very high percentage, reaching 93%. This study concluded that public services provided by Nagari Manggopoh occupy an excellent interval value. Meanwhile, the discourse on village arrangement (addition of Jorong) received enthusiastic support from the Nagari Manggopoh Community.
Encouraging Social Harmony Through Mainstreaming Religious Moderation in Banyumas Regency
Authors: Uswatusolihah Uus , Saputro Dedy Riyadin
Published: January 2024

This article examines the implementation of the Islamic Extension Instructor (Penyuluh Agama Islam/PAI) on religious moderation to encourage social harmony in the Banyumas regency. The PAI is the spokesperson for the Ministry of Religion, which is vital in the success of the religious moderation movement, which deals directly with the community. Banyumas district is considered a district with a high index of harmony and tolerance. This research is qualitative and descriptive, with a phenomenological approach using interviews and document analysis. This study involved 14 PAI who were selected based on a purposive and snowballing sample. The theory that underlies this research is the theory of symbolic interactionism. PAI views and understandings of religious moderation from education, training, and media sources. PAI views Islam as a religion that strongly promotes compassion, tenderness, peace, and tolerance. Islam actually does not need a religious moderation movement because even without a religious moderation movement, Islam is already moderate. These compassionate Islamic values are obscured by the attitudes of some Muslims with extreme views. In general, they understand religious moderation as a religious attitude that is not extreme and upholds tolerance. They encouraged religious moderation according to their ability, situation, and condition. PAI implements religious moderation through actual activities with followers of other religions. This communication strategy for religious moderation among PAI in Banyumas Regency provides an overview of the religious moderation movement at the grassroots.
RETRACTED: KEPA-CRF: Knowledge expansion prototypical amortized conditional random field for few-shot event detection
Authors: Wu Rong , Yu Long , Tian Shengwei , Long Jun , Zhou Tiejun , Wang Bo
Published: January 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Design and implementation of marine information management network security system based on artificial intelligence embedded technology
Authors: Zhang Kun , Zhou Yu , Long Haixia , Wu Shulei , Wang Chaoyang , Hong Haizhuang , Fu Xixi , Wang Haifeng
Published: January 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Music curriculum integration and reconstruction model based on advanced music waveform iterative reconstruction algorithm
Authors: Gao Miaomiao
Published: January 2024

To improve the effect of intelligent teaching in music classrooms, this paper combines the advanced music waveform iterative reconstruction algorithm to analyze the integration and reconstruction of the music curriculum. Aiming at the problem that the projection matrix occupies a large space and takes a long time to calculate in iterative reconstruction, a fast and real-time incremental method for generating a music wave matrix is proposed. The improved method avoids the judgment and comparison calculations performed by the incremental method when calculating the length and number of each voxel that the ray passes through. The research results show that the music curriculum integration and reconstruction model based on the advanced music waveform iterative reconstruction algorithm can effectively improve the teaching effect of modern music classrooms.
The association of cumulative vasoactive drugs and neurodevelopmental outcomes in preterm Infants <29 weeks gestation
Authors: Amer R. , DeCabo C. , Elnagary M. , Seshia M.M. , Elsayed Y.N.
Published: January 2024

OBJECTIVE: To assess the effect of cardiovascular medications on the neurodevelopment of preterm infants, as measured by calculated cumulative time of vasoactive–inotropic score (VISct). METHODS: A retrospective study was conducted on preterm infants who developed significant hypotension defined as a mean BP more than 2SDs below the mean for GA and received treatment with duration > 6 hours for each hypotensive episode, we calculated the vasoactive inotropic score (VIS) and cumulative exposure to cardiovascular medications over time (VISct). The composite Bayley III was reported from the high-risk follow-up clinic for the surviving infants between 18 to 21 months corrected age. RESULTS: VISct was significantly higher in infants with abnormal neurodevelopment. Cognitive Bayley was the most affected component with median (IQR) VISct 882.5(249,2047) versus 309(143,471) (p-value 0.012), followed by language function with VISct 786(261,1563.5), versus 343(106.75,473.75) (p-value 0.016) when those with Bayley III <85 were compared with those with normal Bayley IIIs. CONCLUSION: High VISct scores may have negative effect on cognitive and language neurodevelopmental outcomes.
InterpretME: A tool for interpretations of machine learning models over knowledge graphs
Authors: Chudasama Yashrajsinh , Purohit Disha , Rohde Philipp D. , Gercke Julian , Vidal Maria-Esther
Published: January 2024

In recent years, knowledge graphs (KGs) have been considered pyramids of interconnected data enriched with semantics for complex decision-making. The potential of KGs and the demand for interpretability of machine learning (ML) models in diverse domains (e.g., healthcare) have gained more attention. The lack of model transparency negatively impacts the understanding and, in consequence, interpretability of the predictions made by a model. Data-driven models should be empowered with the knowledge required to trace down their decisions and the transformations made to the input data to increase model transparency. In this paper, we propose InterpretME, a tool that using KGs, provides fine-grained representations of trained ML models. An ML model description includes data – (e.g., features’ definition and SHACL validation) and model-based characteristics (e.g., relevant features and interpretations of prediction probabilities and model decisions). InterpretME allows for defining a model’s features over data collected in various formats, e.g., RDF KGs, CSV, and JSON. InterpretME relies on the SHACL schema to validate integrity constraints over the input data. InterpretME traces the steps of data collection, curation, integration, and prediction; it documents the collected metadata in the InterpretME KG. InterpretME is published in GitHub11 https://github.com/SDM-TIB/InterpretME and Zenodo22 https://doi.org/10.5281/zenodo.8112628. The InterpretME framework includes a pipeline for enhancing the interpretability of ML models, the InterpretME KG, and an ontology to describe the main characteristics of trained ML models; a PyPI library of InterpretME is also provided33 https://pypi.org/project/InterpretME/. Additionally, a live code44 https://github.com/SDM-TIB/InterpretME_Demo, and a video55 https://www.youtube.com/watch?v=Bu4lROnY4xg demonstrating InterpretME in several use cases are also available.
Perceived implications of COVID-19 on physical, mental and social aspects of resident doctors in a tertiary care hospital
Authors: Trivedi Bansi , Pandya Shailen , Modi Meet , Lalwani Nisha
Published: January 2024

BACKGROUND: The COVID-19 pandemic has put health care systems of many countries under major stress. Due to its high transmission capacity, it has spread across the globe at a rampant pace. India is one of the countries which has been severely affected by COVID-19. It has posed onerous tasks in front of doctors. Along with it, it has left physical, social and mental implications on well-being of doctors. OBJECTIVES: The purpose of this study is to get an in-depth understanding about the implications of COVID-19 on physical, social and mental aspects of resident doctors in tertiary care hospital. METHOD: We performed a qualitative study which involved in-depth interviews of resident doctors who have worked during the COVID-19 pandemic from general medicine department of tertiary care hospital. Interviews were then manually transcribed and analyzed. RESULT: Data analysis by preparing transcript unveiled that doctors were constantly facing burnout and mental distress along with less social support. Our study also found that there was a shortage of resources and demonstrated poor doctor patient ratio which led to a decrease in efficiency of doctors. Our findings are not only confined to doctors facing burden but has also explored sanguine perceptions of resident doctors. CONCLUSION: While treating COVID-19 patients, resident doctors suffered a great setback. Providing them with mental aid, social support, ample resources and decreasing their work burden is recommended to effectively manage future pandemic.
Predictors of anxiety and depression in operating room nurses during the COVID-19 pandemic: A multi-center cross-sectional study
Authors: Aktas Filiz Ogce , Turhan Damar Hale , Ozkul Burcu , Voight Patrick , Guckian Fisher Mona , Elin Michael , Sharma Suresh K. , Bird Sarah
Published: January 2024

BACKGROUND: Operating room nurses (ORNs) who directly deal with the treatment and care of COVID-19 patients during the pandemic are at risk in terms of psychological stress and other mental health problems. OBJECTIVE: The aim of the study was to compare the anxiety and depression levels of ORNs working in different countries in the COVID-19 outbreak, and to determine the predictors and the difference between countries. METHODS: This was a descriptive and cross-sectional study. Data were collected online using a google form between February 2021-February 2022. The universe of the research is nurses who are members of national Perioperative Nurses Association (USA, Türkiye, Australia, England, India, Israel) and 1127 ORNs participated the study. In multivariate analysis, independent predictors of anxiety and depression status were examined by binary logistic regression analysis. RESULTS: The rate of anxiety is 5.46 times higher in nurses in the USA, 5.07 times higher among nurses in Australia, and 4.49 times higher for nurses in England. It was determined that the rate of depression in ORNs working in Türkiye was 5.97 times higher. It was found that the rate of depression is 1.59 times higher in ORNs living away from the family after care of COVID-19 patient. CONCLUSION: Despite some differences between countries in terms of health system, patient potential, economic and the opportunities offered, generally high levels of anxiety and/or depression indicate that all ORNs need urgent support. Identifying risk factors will help recognize anxiety and depression in ORNs and take measures to protect their mental health during the pandemic.
Heart rate variability profile changes associated with specialist police selection activities: A case study
Authors: Tomes Colin D. , Canetti Elisa F.D. , Schram Ben , Orr Robin
Published: January 2024

BACKGROUND: Police Tactical Groups (PTGs) are specialist police units tasked with rigorous physical and psychosocial duties. Consequently, selection courses (SCs) for service in these units must also be rigorous. Given the intensity of SCs, holistic monitoring for potential overstress may be beneficial. Heart Rate Variability (HRV) is one holistic stress measure that can be obtained in austere environments. OBJECTIVE: The purpose of this study was to profile HRV during a PTG SC. Six (n = 6) qualified male police officers attempted a 36-hour PTG selection course held at an Australian state facility. METHODS: HRV was obtained from Equivitaltrademark EQ02 + LifeMonitor bioharnesses. The selection course consisted of physically demanding events with minimal sleep (approx. 45 mins). Only one candidate completed the full selection course; whose results are reported here. RESULTS: A visual time-series of 384 consecutive 5 min HRV analyses was generated. Contextual analysis was applied to appreciate HRV changes between SC serials. HRV decline occurred during the planning of a navigation exercise and a pack march. Increases in HRV were observed throughout the pack march exercise and rest period. CONCLUSION: This case study demonstrates the potential utility for selection personnel to obtain additional insight into candidate responses to various occupational challenges throughout an SC. Information provided by HRV monitoring may support leadership decisions when evaluating personnel holistically. For example, the ability to continue occupational task execution even while experiencing potential overstress (as measured by HRV) and after food and sleep deprivation is desirable. HRV may potentially inform stakeholders regarding overstress in PTG candidates.
Job stressors in relation to burnout and compromised sleep among academic physicians in India
Authors: Belkić Karen , Rustagi Neeti
Published: January 2024

BACKGROUND: Burnout among physicians, especially in the academic setting, is an urgent concern, with adequate sleep one of the key focal points. OBJECTIVE: To identify job stressors contributing to burnout and compromised sleep among academic physicians, using a comprehensive, theory-based instrument, the Occupational Stressor Index (OSI), whose specific form was created ‘for physicians by physicians’. METHODS: This parallel mixed-methods cross-sectional investigation was conducted among 109 physicians employed in a public teaching hospital, Jodhpur, India. Work conditions were evaluated by the physician-specific OSI (part I). The Copenhagen Burnout Index and Pittsburgh Sleep Quality Index (PSQI) were the outcome instruments (part II). Seventy-six physicians completed parts I and II. RESULTS: The physicians were from wide-ranging specialties, and 82% of the cohort were residents. Mean total OSI scores were 87.4±8.1, with unit-change yielding adjusted odds-ratios (95% confidence-intervals) for personal (1.10 (1.02–1.18)) and work-related burnout (1.12 (1.04–1.22)), and PSQI (1.09 (1.01–1.17)). Significant multivariable associations with burnout and/or sleep indices included: working 7 days/week, lacking work-free vacation, insufficient rest breaks, interruptions, many patients in intensive-care, no separate time for non-clinical duties, pressure to publish, injury/suicide attempts of colleagues/staff, performing pointless tasks. The latter were described as administrative/clerical. Lacking genuine rest breaks was mainly patient-related, further compromised by emergency work and lacking separate time for non-clinical duties. Long workhours and exhausting schedule were cited as most difficult parts of work, while reducing workhours, improving work schedule, and hiring more staff most frequently recommended. CONCLUSION: Specific working conditions potentially contributory to burnout and compromised sleep among physicians working in academic medicine are identified using a methodologically-rigorous, in-depth approach. These findings inform evidence-based interventions aimed at preserving physician mental health and work capacity.
Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron
Authors: Betshrine Rachel R. , Khanna Nehemiah H. , Singh Vaibhav Kumar , Manoharan Rebecca Mercy Victoria
Published: January 2024

BACKGROUND:

The coronavirus disease 2019 is a serious and highly contagious disease caused by infection with a newly discovered virus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

OBJECTIVE:

A Computer Aided Diagnosis (CAD) system to assist physicians to diagnose Covid-19 from chest Computed Tomography (CT) slices is modelled and experimented.

METHODS:

The lung tissues are segmented using Otsu’s thresholding method. The Covid-19 lesions have been annotated as the Regions of Interest (ROIs), which is followed by texture and shape extraction. The obtained features are stored as feature vectors and split into 80:20 train and test sets. To choose the optimal features, Whale Optimization Algorithm (WOA) with Support Vector Machine (SVM) classifier’s accuracy is employed. A Multi-Layer Perceptron (MLP) classifier is trained to perform classification with the selected features.

RESULTS:

Comparative experimentations of the proposed system with existing eight benchmark Machine Learning classifiers using real-time dataset demonstrates that the proposed system with 88.94% accuracy outperforms the benchmark classifier’s results. Statistical analysis namely, Friedman test, Mann Whitney U test and Kendall’s Rank Correlation Coefficient Test has been performed which indicates that the proposed method has a significant impact on the novel dataset considered.

CONCLUSION:

The MLP classifier’s accuracy without feature selection yielded 80.40%, whereas with feature selection using WOA, it yielded 88.94%.
Nomograms combining computed tomography-based body composition changes with clinical prognostic factors to predict survival in locally advanced cervical cancer patients
Authors: Fu Baoyue , Wei Longyu , Wang Chuanbin , Xiong Baizhu , Bo Juan , Jiang Xueyan , Zhang Yu , Jia Haodong , Dong Jiangning
Published: January 2024

OBJECTIVE:

To explore the value of body composition changes (BCC) measured by quantitative computed tomography (QCT) for evaluating the survival of patients with locally advanced cervical cancer (LACC) underwent concurrent chemoradiotherapy (CCRT), nomograms combined BCC with clinical prognostic factors (CPF) were constructed to predict overall survival (OS) and progression-free survival (PFS).

METHODS:

Eighty-eight patients with LACC were retrospectively selected. All patients underwent QCT scans before and after CCRT, bone mineral density (BMD), subcutaneous fat area (SFA), visceral fat area (VFA), total fat area (TFA), paravertebral muscle area (PMA) were measured from two sets of computed tomography (CT) images, and change rates of these were calculated.

RESULTS:

Multivariate Cox regression analysis showed ΔBMD, ΔSFA, SCC-Ag, LNM were independent factors for OS (HR = 3.560, 5.870, 2.702, 2.499, respectively, all P < 0.05); ΔPMA, SCC-Ag, LNM were independent factors for PFS (HR = 2.915, 4.291, 2.902, respectively, all P < 0.05). Prognostic models of BCC combined with CPF had the highest predictive performance, and the area under the curve (AUC) for OS and PFS were 0.837, 0.846, respectively. The concordance index (C-index) of nomograms for OS and PFS were 0.834, 0.799, respectively. Calibration curves showed good agreement between the nomograms’ predictive and actual OS and PFS, decision curve analysis (DCA) showed good clinical benefit of nomograms.

CONCLUSION:

CT-based body composition changes and CPF (SCC-Ag, LNM) were associated with survival in patients with LACC. The prognostic nomograms combined BCC with CPF were able to predict the OS and PFS in patients with LACC reliably.
A fast response time gas ionization chamber detector with a grid structure
Authors: Chang Jiahao , Zhu Chaoyang , Song Yuanpeng , Wang Zhentao
Published: January 2024

The time response characteristic of the detector is crucial in radiation imaging systems. Unfortunately, existing parallel plate ionization chamber detectors have a slow response time, which leads to blurry radiation images. To enhance imaging quality, the electrode structure of the detector must be modified to reduce the response time. This paper proposes a gas detector with a grid structure that has a fast response time. In this study, the detector electrostatic field was calculated using COMSOL, while Garfield++ was utilized to simulate the detector’s output signal. To validate the accuracy of simulation results, the experimental ionization chamber was tested on the experimental platform. The results revealed that the average electric field intensity in the induced region of the grid detector was increased by at least 33%. The detector response time was reduced to 27% –38% of that of the parallel plate detector, while the sensitivity of the detector was only reduced by 10%. Therefore, incorporating a grid structure within the parallel plate detector can significantly improve the time response characteristics of the gas detector, providing an insight for future detector enhancements.
Youth Attitudes Towards the Effects of Social Media Addiction: A Study on College Students in the United Arab Emirates
Authors: Akhtar Fokiya
Published: January 2024

Social media platforms have become an integral part of the daily lives of youth worldwide. While these platforms offer numerous benefits, concerns have arisen about the potential negative consequences of excessive social media use on adolescents' health and physical activity, including addiction.

This study aimed to understand youth attitudes toward the effects of social media usage and its risk factors. By investigating the perceptions and behaviors of young individuals, this research seeks to contribute to our knowledge of the impact of social media addiction on the well-being, quality of life, and mental health of individuals actively using social media networks.

This study will investigate the effect of social media addiction on sleep problems in college students and the chain mediating effects in the relationship of fear of missing out and nocturnal social media use. We conducted a survey of 327 college students using the Social Media Addiction Scale, the Fear of Missing Out Scale, the Nocturnal Social Media Use Scale, and the Pittsburgh Sleep Index Scale. Results showed that social media addiction significantly and positively predicted poor sleep quality and that the fear of missing out and nocturnal social media use had a chain mediating effect in this relationship. Reducing social media addiction and nocturnal social media use and developing education-guided measures aimed at reducing the fear of missing out will be beneficial for improving the sleep quality of college students.
Overwhelming Post-Splenectomy Bacteremia Due to Streptococcus bovis Group Organisms. Report of Three Cases and Review of the Literature
Authors: McCollum Samuel , Myers Joseph
Published: January 2024

We report 3 cases of severe post-splenectomy infection due to members of the _Streptococcus bovis/Streptococcus equinus _group, formerly called the _Streptococcus bovis _group, and review the literature for other cases associated with this organism.
Robodoc: a conversational-AI based app for medical conversations
Authors: Guerra Pires Jorge
Published: January 2024

Artificial Intelligence (AI) evolved in trends. Currently, the trend is Conversational Artificial Intelligence (CAI). Those models of AI are focused on text-related tasks, and their commonest applications are chatbots. On this paper, we explore a smart chatbot using the Large Language Models (LLMs) from openAI. I have used a tool called Teachable Machine (TM) from Google to apply transfer learning and create image-based models. I have built two image-based model: for X-ray and for OCT. The model of X-ray is able to detect viral and bacterial pneumonia, whereas the Optical coherence tomography (OCT) model can detect Drusen, Choroidal Neovascularization (CNV) and (Diabetic Macular Edema DME) conditions on the patient's eyes image. I have also used TensorFlowjs from Google to create a diabetes detection model. All those models are integrated into a chatbot, that according to the message entered by a user, is able to use the models intelligently. Our results show a good integration between the models and the chatbot, with slight deviations from the expected behaviors. For the OCT model, we have also tested a stub function for medical appointments done by the bot, based on how serious is the patient condition. The future of artificial intelligence are public APIs, as I have shown that a complex model can be built, without a complex research infrastructure, and with low costs. Bioinformatics may have gained a new supporter towards more friendly interfaces on bioinformatics.
The Pandora Box from 12 Countries: Who Benefits More from Modern Interventions?
Authors: Lin Yuhui
Published: January 2024

Aging constitutes an inevitable decline in vitality, representing a phenomenon that affects the population since the advent of vaccination and the doubling of life expectancy at birth. Preventive medicine stands as the cornerstone of life-saving efforts, offering an opportunity that is shaped by factors such as gender, financial resources, health consciousness, and individual decisions. It has been observed that males tend to experience the onset of chronic illnesses at an earlier stage than females, leading to a shorter life expectancy for males. While this traditional assumption may persist, recent findings in gender-specific mortality rates have revealed a significant reversal. A notable shift in the modern dynamics of gender-based mortality has been attributed to contemporary interventions, which appear to be pivotal in reducing this disparity. This analysis focuses on deaths related to circulatory failure, their comorbidity, and the early diagnosis of diseases in order to examine the Pandora's box hypothesis of gender differences and identify the statistical frailty component affecting mortality selection. The empirical findings of this analysis indicate that patients experiencing renal and circulatory failure face a mortality risk that is at least 10% higher than those with circulatory failure alone. Furthermore, the temporal changes in mortality dynamics suggest that males are reaping greater benefits from current life-extending techniques. These results strongly imply that longitudinal studies should incorporate transplant-related data to obtain a more robust hazard ratio for clinical evaluation.
Holographic Quantum Theory of Consciousness
Authors: Sha Zhigang , Xiu Rulin
Published: January 2024

There are two important questions in the science of consciousness. One is how a physical object such as the brain has conscious experience. The other is how consciousness affects or even creates the observed phenomena. In this paper, we presume and demonstrate how human consciousness manifests observed natural laws and phenomena. The basic constituents of human consciousness are proposed to be two basic pairs of duality consciousness: the change-unchange duality consciousness and the inclusion-exclusion duality consciousness. The mathematical action to describe the maximum amount of information created by human consciousness is derived as the holographic action. From this action, one can obtain the mathematical formula expressing the hologram which describes the possible information, energy, and matter that can be manifested by human consciousness. In this way, one can study all the possible natural laws and phenomena observed by human consciousness. This holographic quantum theory of consciousness has six predictions: 1) The existence of a grand unification theory which can use one mathematical formula to describe the observed natural laws and phenomena; 2) The universality of space and time scale invariance; 3) The emergence of the observed phenomena from a hologram described by the holographic action; 4) The one-way direction of conscious time and its relation to the total information of the system; 5) The possibility to transcend currently observed natural laws when one can go beyond duality consciousness and emerge into emptiness; and 6) The observed natural laws, phenomena, and experiences can be described mathematically. This work demonstrates mathematically how the observed natural laws and phenomena are manifested from human consciousness. It reveals the profound connection between the observed natural laws and human consciousness. This insight can lead to a deep understanding of the greater human potential and abilities. It also provides a new physical foundation and mathematical tool to study DNA, the brain, life, cosmology, the grand unified theory, and all scientific and spiritual disciplines.
Periodic second-order systems and coupled forced Van der Pol oscillators
Authors: Minhos Feliz , Perestrelo Sara
Published: January 2024

We present an existence and localization result for periodic solutions of second-order non-linear coupled planar systems, without requiring periodicity for the non-linearities. The arguments for the existence tool are based on a variation of the Nagumo condition and the Topological Degree Theory. The localization tool is based on a technique of orderless upper and lower solutions, that involves functions with translations. We apply our result to a system of two coupled Van der Pol oscillators with a forcing component.
Studying the Level of Livelihood Vulnerability and the Necessity of the Work Developing a Farmhouse Economic Economic Model to Adapt to Climate Change in the Coastal Area of Ben Tre
Authors: Ngo-Hoang Dai-Long
Published: January 2024

Climate change has been causing multifaceted impacts on the natural environment, biodiversity, and the livelihoods and lives of people in coastal areas. Vietnam is a maritime country considered one of the five countries most severely affected by climate change. Among geographical regions, the Mekong Delta (MRD), especially coastal areas, is the most sensitive and vulnerable to the impacts of climate change, directly from sea level rise., saltwater intrusion, changes in hydrological properties in estuaries, and changes in the nature of monsoons and tropical storms... The impact of climate change in recent years has been shown quite clearly in the coastal areas of Ben Tre province. Saltwater intrusion, drought, scarcity of fresh water, flooding due to high tides, and rising sea levels have seriously affected the livelihoods of poor communities living in lowland and coastal areas. This article presents the results of research on the level of livelihood vulnerability and the necessity of choosing appropriate ecological economic models for people in coastal communes of Ben Tre province under the impact of climate change.
PENGARUH REGULASI, PERENCANAAN ANGGARAN, PELAKSANAAN ANGGARAN, KUALITAS SUMBER DAYA MANUSIA, DAN PENERAPAN APLIKASI SIPD TERHADAP PENYERAPAN ANGGARAN BELANJA PADA SATUAN KERJA PERANGKAT DAERAH DI KABUPATEN MAGELANG
Authors: Erliyani Evi , Sulastiningsih Sulastiningsih
Published: January 2024

Penelitian ini bertujuan untuk membuktikan secara empiris pengaruh regulasi, perencanaan anggaran, pelaksanaan anggaran, sumber daya manusia, dan penerapan aplikasi SIPD terhadap penyerapan anggaran belanja. Penelitian ini menggunakan sampel pegawai yang bekerja di SKPD Kabupaten Magelang sebanyak 19 Dinas, 5 Badan Daerah, Sekretariat Daerah, Sekretariat DPRD, Inspektorat dan 5 Kecamatan. Jumlah sampel penelitian ini adalah 59 responden, berdasarkan metode purposive sampling, yaitu aparat pemerintah daerah Kabupaten Magelang yang menduduki jabatan yang berkaitan dengan anggaran, antara lain  Kasubbag Keuangan, PPTK, Bendahara Pengeluaran, dan Staf bagian Keuangan dan Perencanaan. Pengujian hipotesis dalam penelitian ini menggunakan regresi linier berganda. Hasil penelitian menunjukan bahwa pelaksanaan anggaran berpengaruh positif terhadap penyerapan anggaran belanja, sedangkan regulasi, perencanaan anggaran, kualitas sumber daya manuasia, dan penerapan aplikasi SIPD tidak berpengaruh terhadap penyerapan anggaran belanja.
PENGARUH MOTIVASI KERJA, KOMUNIKASI, STRES KERJA, DAN LINGKUNGAN KERJA TERHADAP KEPUASAN KERJA
Authors: Yuriatun Yuriatun , Nugroho Muhammad Awal Satrio
Published: January 2024

Penelitian ini bertujuan untuk mengetahui (1) pengaruh motivasi kerja terhadap kepuasan kerja pada karyawan, (2) pengaruh komunikasi terhadap kepuasan kerja pada karyawan, (3) stres kerja terhadap kepuasan kerja pada karyawan, (4) pengaruh lingkungan kerja terhadap kepuasan kerja pada karyawan, dan (4) pengaruh motivasi kerja, komunikasi, stres kerja, dan lingkungan kerja berpengaruh secara bersama-sama terhadap kepuasan kerja pada karyawan PT Karya Niaga Abadi (JnT Express) Cabang Bantul Yogyakarta. Penelitian ini merupakan penelitian Ex Post Facto. Metode yang digunakan dalam penelitian ini adalah metode survey. Sumber data dalam penelitian ini berupa data primer. Metode pengumpulan data yang peneliti gunakan dalam penelitian ini yaitu menggunakan kuesioner/ angket. Populasi dalam penelitian ini adalah seluruh karyawan PT Karya Niaga Abadi (JnT Express) Cabang Bantul Yogyakarta sebanyak 7 outlet periode November 2021 sebanyak 323 karyawan. Metode penarikan sampel/pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling. Sampel dalam penelitian ini adalah karyawan PT Karya Niaga Abadi (JnT Express) Cabang Bantul Yogyakarta bagian messenger periode November 2021 sebanyak 117 karyawan. Validitas dalam penelitian ini menggunakan korelasi product moment dan reliabilitas menggunakan rumus cronbach alpha. Teknik analisis data dalam penelitian ini menggunakan analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa (1) motivasi kerja berpengaruh positif dan signifikan terhadap kepuasan kerja pada karyawan. Hal ini ditunjukkan dari nilai thitung lebih besar dari nilai ttabel (2,877>1,980), nilai signifikansi 0,005 lebih kecil dari 0,05 (0,005<0,05), dan koefisien regresi mempunyai nilai positif sebesar 0,142. (2) Komunikasi berpengaruh berpengaruh positif dan signifikan terhadap kepuasan kerja pada karyawan. Hal ini ditunjukkan dari nilai thitung lebih besar dari nilai ttabel (9,587>1,980), nilai signifikansi sebesar 0,000 lebih kecil dari 0,05 (0,000<0,05), dan koefisien regresi mempunyai nilai positif sebesar 0,446. (3) Stres kerja berpengaruh berpengaruh negatif dan signifikan terhadap kepuasan kerja pada karyawan. Hal ini ditunjukkan dari nilai thitung lebih besar dari nilai ttabel (-2,209>1,980), nilai signifikansi sebesar -0,029 lebih kecil dari 0,05 (- 0,029<0,05), dan koefisien regresi mempunyai nilai negatif sebesar -0,279. (4) Lingkungan kerja berpengaruh positif dan signifikan terhadap kepuasan kerja pada karyawan. Hal ini ditunjukkan dari nilai thitung lebih besar dari nilai ttabel (2,752>1,980), nilai signifikansi sebesar 0,004 lebih kecil dari 0,05 (0,008<0,05), dan koefisien regresi mempunyai nilai positif sebesar 0,513. (5) Motivasi kerja, komunikasi, stres kerja, dan lingkungan kerja secara bersama-sama berpengaruh positif dan signifikan terhadap kepuasan kerja pada karyawan. Hal ini dibuktikan dari nilai lebih besar dari (146,333>2,452), dan nilai signifikansi lebih kecil dari 0,05 (0,000<0,05).