bluuebunny/crossref_metadata_2025 huggingface dataset:
The oscillatory transcranial electric stimulation and the amplitude-modulated frequency dictate the quantitative features of phosphenes
Authors: Hsu Che-Yi , Liu Tzu-Ling , Juan Chi-Hung
Published: August 2024

The study explores the crucial role of current oscillation and neural
alignment to amplitude-modulation frequency in phosphene induction
through various forms of transcranial electric stimulation. Previous
research has shown that transcranial alternating current stimulation
(tACS) can modulate phosphene perception. The application of tACS
introduces rhythmic electric field changes and alternating polarity,
making the oscillatory mechanism behind phosphene perception still
unclear. To dissociate the effects of changing electric field vs.
alternating polarity, the present study employs oscillatory transcranial
direct current stimulation (otDCS) to eliminate the influence of
polarity switching. We administered scalp electric stimulations using
tACS and otDCS in anodal or cathodal polarities over the occipital lobe.
All stimulations were conducted with sinusoidal (18 Hz) or
amplitude-modulated (2 Hz AM embedded in an 18 Hz carrier) waveforms at
threshold or suprathreshold intensities. The results revealed no
difference between stimulation polarities, suggesting the importance of
current oscillation rather than polarity alteration in phosphene
induction. Furthermore, amplitude-modulated stimulation consistently
produced slower phosphene flash rates, unaffected by intensity,
indicating the dominance of amplitude-modulation frequency in phosphene
perception. Our findings suggest (1) current oscillation, rather than
polarity switching, is crucial for phosphene generation; (2)
amplitude-modulation frequency effects on perception threshold, response
time, and perceived flash rate are robust irrespective of the
oscillatory stimulation protocols; (3) amplitude-modulation information
is encoded in phosphene perception generation independently of the
carrier frequency. This study provides direct evidence of the link
between phosphene occurrence and oscillatory current activity,
underscoring the robustness and independence of amplitude-modulation
coding in visual perception.
Quantum Gravity Time Rank-N Tensor Collapsing Expanding Scalar Sense Time Space Matrix Signal/Noise Physics Wavefunction Operator
Authors: R Iyer
Published: August 2024

This paper introduces abstract, logical, and mathematical algebraic tensor operations for quantifying the temporal properties of physical systems, including energy, momentum, and angular momentum. We explore the concept of a “black box” time matrix that commutes with the gravity matrix, resulting in metrics analogous to Schwarzschild metrics. Depending on context and notation, time tensors can exhibit different ranks. Our formalism focuses on a rank-4 tensor representing the time matrix—a fundamental quantity that abstracts informational observables across various domains of reality. We delve into arithmetic and algebraic time representations, highlighting scalar mesoscopic time clocks and vector time characteristics relevant to quantum and astrophysical domains. These conserved tensorization fields play a crucial role in understanding real transformations within different reality domains. Arithmetic and Algebraic Time Representations of Rank-4 tensor time matrix highlights scalar mesoscopic time clocks as well as vector time characterizing quantum and astrophysical domains that are conserved tensorization proved action fields. Per group theoretical analysis, 4x4 time matrix has been extended to rank 6 tensor times capable of interactively coupling to gravitational gradient metrics. Rank-6 tensor time matrix can be used to quantify physical phenomena of geodesical gravitational interactive coupling within regions of quantum space, mesoscopic environment, and astrophysical fields, while describing environmental real matter transformations of rotational parameters in different domains of reality. Some aspects with evaluating constitutive equations underlying signal/noise ratio, critical observable measurable quantitative parameters to evaluate “quantum foam” universal electromagnetism and “vacuum bath” gravitational geodesics active by local curvature of spacetime quantifications will help to algorithmically explain how origin, genesis and evolution with real universe form from superluminal phases to star systems and life-forms with interplanetary quantum ASTROPHYSICS!.
The Development of A Mobile-Based Area Recommendation System Using Grid-Based Area Skyline Query and Google Maps
Authors: Annisa  , Alyssa T. Sandra , Agmalaro Muhammad Asyhar
Published: August 2024

Choosing a location for a business or place of residence is an essential task in our daily lives. Typically, a location is considered favorable if it is in proximity to profitable facilities that enhance its value while being distant from facilities that diminish its value. However, conducting surveys in the field to identify desirable candidate locations is not always feasible. Factors such as high costs, inclement weather, and transportation limitations can hinder survey activities. This study aims to develop a mobile-based system for location selection using the Grid-based Area Skyline (GASKY) algorithm in conjunction with Google Maps. Google Maps is widely utilized for location-based decisions and is familiar to mobile application users. GASKY is employed for its capability to recommend locations based on user-provided information regarding desired facilities near the target location and facilities to be avoided, eliminating the need to input candidate locations from survey results. The outcomes of this study include a mobile-based application that utilizes the Google Maps API to create data collection modules. Mobile-based applications utilizing GASKY offer convenience, as they can be accessed by users anytime and anywhere.
Citizens Readiness for E-Government on The Jogja Smart Service (JSS) Application in Yogyakarta City
Authors: Yuliantini Lisa Sophia , Pribadi Ulung
Published: August 2024

This study aims to analyze the citizens readiness for e-Government on the Jogja smart service (JSS) application in the city of  Yogyakarta. with indicators from Citizens’ readiness for E-Government (CREG), namely ICT Infrastructure, ICT Use, Human Capital, ICT Regulation, and Trust. The research method is quantitative, with questionnaire primary data totaling 100 respondents, and using Smart PLS software version 0.3. in conducting data analysis. The results show that ICT Infrastructure and ICT Use have a significant influence on the citizens' readiness for e-Government in the Jogja Smart Service (JSS) application. Whereas Human Capital, ICT Regulation, and Trust have no significant influence on the citizens' readiness for e-Government in the Jogja Smart Service (JSS) application. The limitation of this study is the number of respondents and the limited number of respondent variables are expected to be used as recommendations for further research.
Pneumonia Diagnosis Through Deep Learning: ResNet50v2 Model Implementation
Authors: Yufis Azhar  , Wahyu Priyo Wicaksono  , Zamah Sari  , Wahyu Priyo Wicaksono
Published: August 2024

Pneumonia is a significant global health concern, particularly affecting young children and the elderly. It is a lung infection caused by bacteria, viruses, fungi, or parasites, leading to the alveoli filling with pus or fluid. This study addresses the challenge of accurately diagnosing pneumonia using chest X-ray images, a process traditionally dependent on the expertise of radiologists. The reliance on radiologists results in lengthy diagnosis times and high costs, particularly in regions with a shortage of medical professionals. This research presents a deep-learning approach to automate the classification of pneumonia using the ResNet50v2 model, which has been pre-trained on the ImageNet dataset. The dataset used in this study, obtained from the Guangzhou Women and Children’s Medical Center, comprises 5,856 images, with 1,583 normal and 4,273 pneumonia cases. The images were preprocessed and augmented to enhance the model's robustness. The proposed model achieved an accuracy of 94%, demonstrating its potential in clinical settings to assist in the rapid and reliable diagnosis of pneumonia. This study contributes to the growing body of research in medical image analysis by employing a pre-trained ResNet50v2 model. It highlights the importance of leveraging advanced machine-learning techniques to improve diagnostic accuracy and efficiency.
Analysis of User Complaints for Telecommunication Brands on X (Twitter) using IndoBERT and Deep Learning
Authors: Hakim Valianda Farradillah , Riana Dwiza
Published: August 2024

Tweeting on different official accounts is what users of Twitter (X) do most frequently. These tweets ranging from compliments to critiques. One of the official accounts that gets a lot of tweets from its customers is Telkomsel, an Indonesian telecom company. This study aims to find the maximum accuracy that can be obtained by combining CNN and Bi-LSTM algorithms with IndoBERT embeddings. A considerable accuracy level above 90% is demonstrated by the study, with CNN obtaining the greatest accuracy of 99% at a learning rate of 6*10^-5, along with scores of 98%, 97%, and 97% for precision, recall, and F1 correspondingly.
Identification of benthic habitat types of the Çanakkale Strait coast using the European Nature Information System and the Barcelona Convention habitat classification schemes
Authors: Tekeli Zeynep , Aslan Herdem
Published: August 2024

The Çanakkale Strait is important in terms of its location within the Turkish Straits System and its biodiversity. Since it is a Special Environmental Protection Area (SEPA), it is important to determine the existing habitat types. Although the use of European Nature Information System (EUNIS) and Barcelona Convention (BC) habitat classification systems in marine habitat studies has just begun in Türkiye, studies using these systems have been carried out in numerous countries over many years. This study aimed to identify habitat types in the supra-, medio- and upper infralittoral (down to 0.5 m depth) zones of the Çanakkale Strait, in accordance with the EUNIS and the BC classifications. The SACFOR abundance scale was applied to zoo- and phytobenthic species in determining these habitat types. Field studies were carried out in soft and hard substrate areas at 16 stations between May and August 2019. Fourteen marine benthic habitat types have been determined using EUNIS and 12 using the BC systems from rock, biogenic, coarse and sand sediment types. No statistically significant difference (p > 0.05) was found between the benthic marine habitat types determined for the supra- and upper infralittoral zones according to BC and EUNIS. On the contrary, in the mediolittoral zone, a statistically low significant difference was found between habitat types for both habitat classification systems (R = 0.318, p = 0.004 for EUNIS; R = 0.514, p = 0.001 for BC). In this study, the differences and similarities of habitat types in defined EUNIS and BC systems are discussed. The EUNIS habitat classification system was found to be more representative than BC of the studied area, but both classification systems were found to be insufficient for the Eastern Mediterranean littoral communities and a new habitat hierarchy is needed. We present this study as a paradigm for future application to marine habitat studies to be carried out in Turkish waters.
Design, cultura e narrativas digitais para a criança surda
Authors: Portugal Cristina , Márcio Guimarães
Published: August 2024

Este artigo discute e apresenta resultado de uma pesquisa que envolve design e sua correlação com as humanidades digitais aplicada aos conceitos teóricos e estéticos para criação de narrativas digitais bilíngues (Língua Brasileira de Sinais e Português) para crianças surdas e ouvintes. Com foco no design inclusivo com o objetivo de buscar minimizar barreiras e promover a acessibilidade e a inclusão de pessoas com deficiência. Ao considerar as diferenças individuais e trabalhar para garantir que as necessidades de todos os usuários sejam atendidas de forma igualitária. Partimos do princípio de que a deficiência não é uma característica intrínseca da pessoa, mas é influenciada por fatores sociais. É necessário que a sociedade tome medidas para criar um ambiente mais inclusivo, permitindo a plena participação das pessoas com deficiência em todos os aspectos da vida social. Assim, apresentaremos uma reflexão para compreender a cultura e sua importância na construção de significados, tendo em consideração que a pessoa com deficiência auditiva tem uma linguagem própria que molda sua percepção do mundo. Por isso, imagens , ilustrações e animações empregadas neste projeto buscam despertar a curiosidade e os sentidos, promovendo a atribuição de significados e a compreensão de mundo. Adotando o método qualitativo, com abordagens de pesquisa bibliográfica, documental e de campo, associado a processos colaborativos e participativos junto às instituições parceiras e o público atendido. A pesquisa e este estudo apresentam como resultado o desenvolvimento científico em favor de crianças com deficiência auditiva, disponibilizando conceitos teóricos e tecnológicos para a criação de narrativas digitais bilíngues.
ENGLISH VOCABULARY RETENTION ON MOVIE SERIES WITH L1 AND ENGLISH SUBTITLES: THE ROLE OF VOCABULARY LEVEL AND FREQUENCY
Authors: Aziz Zulfadli A , Mustafa Faisal , Yulia Miga
Published: August 2024

Regardless of its significance for language learning, the effect of a movie subtitle on vocabulary retention was rarely investigated. This study aimed to compare the impact of the subtitles in the first language (L1, Indonesian) and English as the target language on the learners’ vocabulary retention after watching seven episodes of a movie series. Sixty pre-service English teachers were divided into L1 and English subtitle groups to watch all episodes of the series in three non-consecutive days with a randomly pre-determined subtitle. They completed a vocabulary test before the experiment, immediately after the experiment, and one week after the experiment. The tests comprise words from the 2nd to 11th 1,000 level appearing at least five times across all episodes. The data were analyzed using inferential statistical analysis. The results show that vocabulary improvement was significant in both groups without any differences between groups. Still, the English subtitle group outperformed L1 subtitle counterparts for vocabulary between the 2nd and 9th 1,000 level and vocabulary appearing between five and ten times. These results suggest that movie series with both L1 and English subtitles can be used to expose students to English vocabulary, but a target language subtitle was superior for vocabulary retention. Therefore, English language learners are suggested to watch captioned English movies for maximum impact on vocabulary acquisition.
Penerapan Metode Game Based Learning (Crosswords) Dalam Pembelajaran Bahasa Inggris Pada Kelas V SDN 124398 Pematangsiantar
Authors: Sibarani Imelda Sabrina , Tarigan Joe Reinata , Tumangger Aslina , Simangunsong Renold , Hutapea Radot , Manasar Julveri , Saragih Sapna , Sihombing Helen , Haloho Tri Anggi , Sihaloho Elvayani
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan model problem based learning untuk meningkatkan kemampuan berpikir kritis siswa dalam pembelajaran Bahasa inggris. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK) dengan dua siklus. Subjek penelitian ini adalah siswa kelas V SDN 124398.Teknik pengumpulan data yang digunakan adalah observasi dan tes. Alat yang digunakan adalah formulir observasi aktivitas guru, formulir observasi aktivitas siswa dan formulir tes kemampuan berpikir kritis siswa yang terdiri dari empat jurusan yaitu klarfikasi, tahap assesment, inferensi dan Strategi.Analisis data dilakukan dengan menggunakan analisis deskriptif, yaitu teknik analisis data dengan membandingkan pra siklus, Siklus I dan Siklus II. indikator prestasi siswa 80% dengan ketuntasan ≥70.Hasil penelitian tindakan kelas ini menunjukkan bahwa pembelajaran dengan model pembelajaran berbasis masalah (PBL) dapat meningkatkan berpikir kritis siswa khususnya pada materi pembelajaran matematika. Terlihat bahwa setelah penerapan Model Pembelajaran Berbasis Masalah (PBL), tingkat ketuntasan hasil belajar siswa meningkat dari 25% pada pra siklus I menjadi 75% pada Siklus II menjadi 82,1%.Serta kemampuan berpikir kritis siswa, dimana Siklus I sebesar 75% menjadi 82,1% pada Siklus II.
PERSEPSI DAYA TERIMA PASIEN DIET MAKANAN LUNAK DENGAN SISA MAKANAN RUMAH SAKIT
Authors: Saufani Iza Ayu , Aiman Umul , Natalina Sucita Lestari
Published: August 2024

Keberhasilan suatu penyelenggaraan makanan rumah sakit sering dikaitkan dengan sisa makanan yang dikonsumsi pasien. Sisa makanan ≥20% menunjukkan kurangnya keberhasilan penyelenggaraan makanan. Sisa makanan di Rumah Sakit Islam Ibnu Sina Bukittinggi banyak ditemukan pada makanan lunak. Diet makanan lunak diberikan kepada pasien setelah operasi ataupun pasien yang sulit menelan. Salah satu faktor yang berpengaruh terhadap sisa makanan di rumah sakit yaitu persepsi makan (aroma makanan, penampilan makanan, suhu makanan, tekstur makanan, rasa makanan, dan variasi menu). Penelitian bertujuan untuk mengetahui hubungan persepri daya terima pasien makanan lunak dengan sisa makanan di Rumah Sakit Islam Ibnu Sina Bukittinggi. Penelitian ini menggunakan desain studi cross-sectional menggunakan Chi Square. Teknik pengambilan sampel menggunakan total sampling. Sampel dalam penelitian ini yaitu pasien rawat inap yang mendapatkan diet makanan lunak di Rumah Sakit Islam Ibnu Sina Bukittinggi sebanyak 18 pasien. Hasil penelitian menunjukkan bahwa sebagian besar pasien (77.8%) menyisakan makan >20% pada waktu makan malam. Jenis makanan yang banyak disisakan pada malam hari adalah lauk hewani sebesar 35% sedangkan buah tidak ditemukan sisa.  Dari 77.8% pasien yang menyisakan makanan diperoleh daya terima baik sebesar 50% dan cukup 50%, sehingga tidak ditemukan hubungan signifikan daya terima pasien makanan lunak dengan sisa makanan.
HUBUNGAN ANTARA UMUR, PENGETAHUAN DAN KONSUMSI TABLET FE DENGAN KEJADIAN ANEMIA DI WILAYAH KERJA PUSKESMAS KUTALIMBARU TAHUN 2024
Authors: Nainggolan Anna Waris , Purba Edy Marjuang , Lusiatun Lusiatun
Published: August 2024

The results of the 2023 Indonesian Health Survey show that the prevalence of anemia in pregnant women nationally has decreased by 21.2% (from 48.9% to 27.7%) but the decrease has not been evenly distributed in all regions. The prevalence of anemia is thought to be closely related to the mother's age at the time of pregnancy, the mother's knowledge regarding anemia and its prevention and non-compliant behavior in consuming Fe tablets. This study aims to determine the relationship between age, knowledge and consumption of Fe tablets with the incidence of anemia in the Kutalimbaru Health Center Work Area in 2024. This research is an analytical observational study using a cross sectional design. The sample was 52 pregnant women who lived in the Kutalimbaru Health Center Work Area who were taken using a purposive sampling technique. Primary data was obtained by conducting interviews with respondents and measuring the Hb of pregnant women. Data analysis was carried out using the Chi-square test with α=0.05. The proportion of mothers who experience anemia in the Kutalimbaru Community Health Center working area is 42.3%. There is a relationship between knowledge (p=0.039) and compliance with the consumption of Fe tablets (p=0.001) with the incidence of anemia in the Kutalimbaru Health Center Working Area. There is no relationship between age and the incidence of anemia in pregnant women. It is recommended that pregnant women, especially those in the Kutalimbaru Community Health Center work area, be proactive in seeking information and increasing their knowledge about anemia and how to prevent it. It is recommended that health workers supervise pregnant women in consuming Fe tablets.Keywords : Anemia, pregnant women, knowledge, consumption of Fe tablets
Screening for resistance to downy mildew disease [Pseudoperonospora cubensis (Berk. and Curt.) Rostov.] in Cucumber (Cucumis sativus L.)
Authors: Pitchaimuthu M , Sandeep Kumar G M , Ravishankar K V , Hegde R , Chaithra L T
Published: August 2024

Downy mildew, a foliar disease caused by the oomycete Pseudoperonospora cubensis (Berk. and Curt.) Rostov, is one of the most destructive disease of cucumber (Cucumis sativus L.). Moderately resistant cultivars are available, but yield losses are high without the use of fungicides, therefore, higher levels of resistance are required to reduce the use of fungicides. Therefore, in the present study, 12 advance breeding lines along with susceptible check of cucumber were screened against downy mildew disease under natural field condition and artificial inoculation through seedling assay technique. The results confirmed that three lines namely IIHR-177-1-1-S7, IIHR-82-1-S6 and IIHR-81-1-S6 were found to be resistant with <10 per cent disease index (PDI) and significantly outperformed against check var. Swarna Agethi for yield and quality traits. These high yielding resistant lines can be utilized as one of the parents for the development of downy mildew resistant hybrids/ varieties.
Witnesses of Bullying at School: Passive Observers or Active Subjects of Its Prevention?
Authors:   Novouralsky Technological Institute of the National Research Nuclear University MEPhI, Dronishinets Nikolai P. , Merenkov Anatoly V. ,   Ural Federal University named after the First President of Russia B.N. Yeltsin
Published: August 2024

One of the crucial tasks of Russian schools is to create a safe learning environment for every child, employing effective measures to combat violence by individual students. The article analyzes the experience of different countries in the prevention of bullying in educational institutions. It is emphasized that existing measures pri-marily focus on addressing the aggressor and victim, neglecting the role of students who witness psychological and physical violence. Empirical research conducted among 15–16-year-olds in 2023–2024 reveals that only 17 % attempt to intervene when confronted with aggressive peer behavior, while others prefer non-intervention. Through in-depth interviews with teachers and students, the reasons behind such behaviors are explored. The article discusses the potential for instilling orientations among students to actively engage in preventing all forms of bullying in class, promoting the independent protection of each student’s mental and physical health. It proposes integrating spiritual and moral development to cultivate collaborative skills among students in foster-ing friendly relationships within the classroom and school. Drawing from domestic experience in fostering col-lectivism, the article suggests transforming the behavior of passive bystanders of bullying into active partici-pants in its prevention.
Integration of Trivia Game Within the Metaverse Mall for Public Services in the City of Semarang
Authors: Widianto Daniel Prasetya , Sanjaya Ridwan , Pamudji Andre Kurniawan
Published: August 2024

The lack of education regarding the metaverse mall application for public services has left the public confused when engaging in public service activities within it. To address this issue, a trivia game titled "MPP Quiz" was created with the aim of understanding user responses to the implementation of an educational trivia game packaged with metaverse technology. The chosen research method is the waterfall model because its stages are well-suited for application in this study. The data collection method employed quantitative techniques by distributing questionnaires to respondents who had previously played the MPP Quiz game. After collecting the data, it was processed using the SPSS application to determine the level of validity, reliability, and correlation between the tested variables. Based on the conducted tests, it can be concluded that the MPP quiz game qualifies as an educational medium and introduction to the public service system in Semarang city, as the values of variables tested for validity, reliability, and correlation exceed the set standards.
Pengaruh Rasio Benchmarking terhadap Penghindaran Pajak pada Perusahaan Sektor Aneka Industri yang Terdaftar di BEI Tahun 2018-2021
Authors: Utomo Rizky , Handayani R.R. Sri
Published: August 2024

Penelitian ini bertujuan untuk memperoleh bukti empiris mengenai pengaruh rasio benchmarking terhadap penghindaran pajak. Ada beberapa faktor yang digunakan untuk menganalisis perusahaan yang tergabung dalam komponen rasio benchmarking, yaitu margin laba kotor, margin laba operasi, margin laba sebelum pajak, rasio pajak perusahaan terhadap turn over, margin laba bersih, rasio gaji/penjualan, rasio bunga/penjualan, sewa. /rasio sewa. penjualan, rasio penyusutan/penjualan, rasio pendapatan/penjualan non-usaha, rasio pengeluaran/penjualan non-usaha dan rasio input/penjualan lain terhadap penghindaran pajak. Populasi dalam penelitian ini dilakukan pada perusahaan sektor aneka industri yang terdaftar di Bursa Efek Indonesia (BEI) periode 2018 hingga 2021. Sampel dalam penelitian ini ditentukan dengan menggunakan metode purposive sampling yang menghasilkan 84 data sebagai sampel penelitian. Data dalam penelitian ini dianalisis menggunakan metode regresi berganda. Hasil penelitian ini menunjukkan bahwa margin laba operasi, rasio bunga/penjualan, rasio pendapatan non-bisnis/penjualan berpengaruh positif signifikan terhadap penghindaran pajak, sedangkan rasio pajak perusahaan terhadap turn over dan rasio beban non-bisnis/penjualan berpengaruh positif signifikan terhadap penghindaran pajak. mempunyai pengaruh negatif yang signifikan terhadap penghindaran pajak. Variabel margin laba kotor, margin laba sebelum pajak, margin laba bersih, rasio gaji/penjualan, rasio sewa/penjualan, rasio depresiasi/penjualan dan rasio input/penjualan lainnya tidak berpengaruh terhadap penghindaran pajak.
Pengentasan Eksternalitas Negatif Terhadap Lingkungan Melalui Carbon Tax Guna Mewujudkan Pembangunan Berkelanjutan
Authors: Hanafiyah Ayun , Dewi Avivah Juliyanti , Purba Fransiskus
Published: August 2024

Maraknya eksternalitas negatif terhadap lingkungan sejalan dengan perubahan iklim secara global. Salah satunya emisi gas rumah kaca dan emisi karbon yang menghasilkan karbondioksida, sehingga menyebabkan pemanasan global. Hal tersebut menjadi permasalahan global dan membutuhkan intervensi dari pemerintah. Berdasarkan data dari Kementerian Lingkungan Hidup dan Kehutanan (2020), bahwa dari tahun 2010-2018, emisi Gas Rumah Kaca (GRK) nasional mengalami tren kenaikan sekitar 4,3% per tahun. Indonesia termasuk negara berimplikasi positif dan konstruktif di dunia internasional, termasuk dalam menghadapi isu perubahan iklim. Negara Indonesia menetapkan subjek pajak karbon meliputi Wajib Pajak Orang Pribadi dan Wajib Pajak Badan yang membeli barang mengandung karbon atau melakukan kegiatan dengan output emisi karbon. Penelitian ini disusun dengan menerapkan metode kualitatif yang mengaplikasikan pendekatan deskriptif. Hasil pemajakan atas emisi karbon dapat menekan angka eksternalitas terhadap lingkungan sehingga komitmen menuju Indonesia hijau akan segera tercapai. Selaras dengan pembangunan berkelanjutan sebagai point yang tertera dalam Sustainable Development Goals (SDGs). Pajak karbon diperlukan untuk menjaga kualitas lingkungan untuk pembangunan ekonomi yang berkelanjutan, sesuai dengan konsep pembangunan berkelanjutan bahwa generasi mendatang harus memiliki peluang ekonomi setidaknya disediakan untuk generasi sekarang dalam rangka menciptakan kesejahteraan ekonomi mereka sendiri.
Evaluation of the acute hepatitis B surveillance system in the Republic of Korea following the transition to mandatory surveillance
Authors: Chung Jaehwa , Yu Jeonghee , Cheon Myeongeun , Tak Sangwoo
Published: August 2024

Objectives: The prevalence of hepatitis B in the Republic of Korea has declined, yet the disease burden persists. After various changes in targets and methods, the national hepatitis B surveillance system now exclusively monitors acute cases. We aimed to assess the alignment of this system with its intended purpose and to recommend improvements supporting the national strategic plan for viral hepatitis management.Methods: This study assessed acute hepatitis B cases reported to the Korean Disease Control and Prevention Agency’s mandatory surveillance system over a 10-year period (2013–2022). It evaluated 5 factors from the Centers for Disease Control and Prevention’s Updated Guidelines for Evaluating Public Health Surveillance Systems: simplicity, positive predictive value, data quality, timeliness, and usefulness.Results: The nonspecific nature of acute hepatitis B symptoms, along with the complexity of diagnostic criteria, indicated a high potential for misreporting. The surveillance system demonstrated a high positive predictive value (94.4%), with data quality and timeliness also rated high. However, data following the onset of the coronavirus disease 2019 pandemic indicate the need for improvement. Moreover, given the relative importance of specific characteristics of chronic infectious diseases, only limited interventions are implementable through the current surveillance system.Conclusion: The evaluation of the Republic of Korea’s acute hepatitis B surveillance system revealed high positive predictive value, data quality, and timeliness. However, improvements can be made in the misreporting of chronic cases and the system’s usefulness. More accurate reflection of the characteristics of acute hepatitis B cases is essential for better management of viral hepatitis.
Impact of COVID-19 on human immunodeficiency virus tests, new diagnoses, and healthcare visits in the Republic of Korea: a retrospective study from 2016 to 2021
Authors: Kim Yeonju , Park Eonjoo , Jung Yoonhee , Kim Koun , Kim Taeyoung , Kim Hwa Su
Published: August 2024

Objectives: Public health workers have been at the forefront of treating patients with coronavirus disease 2019 (COVID-19) and managing the pandemic. The redeployment of this workforce has limited or interrupted other public health services, including testing for human immunodeficiency virus (HIV). This study aims to examine the impact of COVID-19 on HIV testing and diagnosis in the Republic of Korea from 2016 to 2021, comparing data before and after the onset of COVID-19.Methods: Annual HIV testing data were collected from each institution through direct communication or from open-source databases. The annual number of new HIV cases was obtained from the official report of the Korea Disease Control and Prevention Agency. Data on healthcare visits for HIV diagnosis or treatment were extracted from the open-source database of the National Insurance Health Service of Korea. Interrupted time series regression was conducted, stratified by institution type.Results: In 2020, HIV tests, diagnoses, and visits decreased. Notably, public health centers experienced a substantial reduction in 2020−2021 compared to previous years. The annual percentage change in HIV tests was −53.0%, while for HIV diagnoses, it was −31.6%. The decrease in visits for HIV was also most pronounced for public facilities: −33.3% in 2020 and −45.6% in 2021 relative to 2019.Conclusion: The numbers of tests, diagnoses, and healthcare visits for HIV at public health centers in the Republic of Korea substantially decreased in 2020 and 2021. The impacts of these changes on the early diagnosis and treatment of HIV necessitate further monitoring.
La presión social en la toma de decisiones: la ventaja del equipo local en el fútbol mexicano
Authors: Velázquez Guadarrama César , Hernández Velázquez Juan Martín
Published: August 2024

Una de las explicaciones de la ventaja de los equipos locales en el fútbol es la presión social que el público ejerce sobre jugadores y árbitros. En este contexto, el objetivo de este trabajo es estudiar los determinantes de este hecho estilizado en el fútbol mexicano. Los resultados muestran que el apoyo del público no afecta la ventaja de jugar en casa. Los árbitros sí responden a la presión social mostrando un mayor número de tarjetas amarillas, pero para ambos equipos, lo que elimina cualquier sesgo a favor del equipo local. Los resultados anteriores son contrarios a lo encontrado para Europa.
Suitability Of Visual Communication Content On Instagram Against Ministry Of Religion Religious Moderation Concept
Authors: Zikrillah Abdu , Mutaqin Zaenal
Published: August 2024

This research discusses the suitability of  content through visual communication on Instagram social media to the concept of religious moderation. In the dynamics of da’wah using online digital media such as Instagram, several problems have been discovered, one of them is da’wah content which is considered less moderate. Problems occur due to various differences in viewpoints, mazhab, and understanding regarding da’wah material. The delivery of the da’wah material is considered to conflict with the ministry of religion's concept of religious moderation. The aim of this research is to see and discuss the suitability of da’wah content on Instagram to the concept of religious moderation. The research method uses content analysis and semiotics to understand the message in da’wah content on Instagram, then analyzed based on the concept of religious moderation from the ministry of religion. The results of the discussion showed that some content was considered less than moderate due to several factors, namely the lack of explanation in the description or caption section, which could lead to misunderstanding of the meaning and intent of conveying  content on Instagram. Apart from that, visualization in the form of illustrations and symbols can provide different interpretations of the understanding received by mad'u, because not all mad'u, especially Instagram users, can understand the message according to what the Da’i conveys.
Micro/nanoscaled cellulose from coffee pods do not impact HT-29 cells while improving viability and endosomal compartment after C. jejuni CDT intoxication
Authors: Lopez Daniele , Panza Giovanna , Gobbi Pietro , Guescini Michele , Valentini Laura , Papa Stefano , Fusi Vieri , Macedi Eleonora , Paderni Daniele , Montanari Mariele , Canonico Barbara
Published: August 2024

The food industry progressively requires innovative and environmentally safe packaging materials with increased physical, mechanical, and barrier properties. Due to its unique properties, cellulose has several potential applications in the food industry as a packaging material, stabilizing agent, and functional food ingredient. A coffee pod is a filter of cellulosic, non-rigid, ready-made material containing ground portions and pressed coffee prepared in dedicated machines. In our study, we obtained, with homogenization and sonication, cellulose micro/nanoparticles from three different coffee pods. It is known that nanoparticulate systems can enter live cells and, if ingested, could exert alterations in gastrointestinal tract cells. Our work aims to investigate the response of HT-29 cells to cellulose nanoparticles from coffee pods. In particular, the subcellular effects between coffee-embedded nanocellulose (CENC) and cellulose nanoparticles (NC) were compared. Finally, we analysed the pathologic condition (Cytolethal Distending Toxin (CDT) from Campylobacter jejuni) on the same cells conditioned by NC and CENC. We evidenced that, for the cellular functional features analysed, NC and CENC pre-treatments do not worsen cell response to the C. jejuni CDT, also pointing out an improvement of the autophagic flux, particularly for CENC preconditioning.
Examining the impact of multidimensional economic factors on performance: Evidence from the Tunisian insurance companies
Authors: Elkhaldi Abderrazek Hassan , Naamene Monia , Chikhaoui Monia
Published: August 2024

This paper aims to investigate the determinants of performance for insurance companies in Tunisia from 2004 to 2017. Namely, we consider three dimensions of determinants; those related to firms’ microenvironment, macroenvironment and meso or industry environment. The performance of insurance companies is measured using three criteria: Return On Assets (ROA), Return On Equity (ROE), and Combined Ratio. The independent variables are categorized into three groups: microeconomic variables (Firm Size, Financial leverage, Capital management risk, Volume of capital, and Age of the firm), meso-economic variables (Concentration ratio and Insurance Sector Size), and macroeconomic variables (Inflation, Unemployment, and Population Growth). The General Least Squares (GLS) regression technique is employed for the analysis. The study reveals that the financial performance of Tunisian insurance companies is positively influenced by firm size, capital amount, and risk capital management. On the other hand, it is negatively influenced by leverage level, industry size, concentration index, inflation, and unemployment. In terms of technical performance, the capital amount of the firm, industry size, age of the firm, and population growth have a positive impact. However, firm size, leverage, concentration index, and risk capital management negatively affect technical performance. This paper contributes to the existing literature by examining the determinants of performance specifically for insurance companies in Tunisia. Besides the classical proxies of performance, this paper has the originality of using the technical performance which is the most suitable for the case of Insurance companies.
Enhancing innovation competitiveness spun pile method risk: Insights from ISO 56002:2019
Authors: Hidayawanti Ranti , Latief Yusuf , Sangadji Iriansyah , Zagloel Teuku Yuri , Ramli Mohd Zakwan , Mohamed Hasan , Mohamad Daud
Published: August 2024

Integrated risk value response is designed to reduce threats and increase opportunities, especially in terms of running the spun pile method innovation process in accordance with the ISO 56002:2019 standard. Implementing innovation can reduce risks and increase the competitiveness of the company. The method of making or producing spun piles is the research area examined in this study. Questionnaires were distributed to workers in precast concrete companies and most of them were involved in each spun pile production line in the company in order to identify the risk factors that existed in the production line for the spun pile manufacturing method. 30 respondents were workers from organizations in the positions of Director, Manager and Staff. The risk values and impacts are mapped for each dimension to the activity details and it is found that there are 5 high risks as dominant ones, mainly risks with codes R41, R10, R4, R37, and R36. Based on a survey, the highest risk of 30% was found in the stressing & spinning dimension, which is recommended for the innovation process. Innovation is conducted with 5 innovation processes, mainly identifying opportunities, creating concepts, validating concepts, developing solutions, and deploying solutions. Recommendations for improvements are made with preventive and corrective actions that must be taken from every aspect of the spun pile production method activities. Innovation recommendations are also proposed to monitor production activities in real-time utilizing existing information and communication technology. Handling of spun pile waste material must also be implemented with certain methods and produce products that add value for the company. Ultimately, to increase the company’s competitiveness by increasing assets, it is recommended to increase the company’s intangible assets. The company’s intangible assets encompass IPR ownership in the form of Patents and Copyrights.
A study on the impact of perceived innovation leadership on team innovation performance: Taking innovation climate as the mediating variable
Authors: Shan Jinbao
Published: August 2024

This study investigates the impact of perceived innovative leadership on team innovation performance, with innovation climate acting as a mediating variable. A quantitative research approach, including a survey of team members across various industries, was used to collect data. Analysis through Structural Equation Modeling (SEM) reveals that perceived innovative leadership significantly positively influences team innovation performance, with innovation climate partially mediating this relationship. The findings emphasize the critical role of innovative leadership and a positive innovation climate in fostering organizational innovation, offering valuable insights for management practices. This paper also discusses the study’s limitations and provides directions for future research.
A Study on Drying Characteristics, Color, and Vitamin C Preservation of Green Banana Slices Using a Vacuum Heat Pump System
Authors: Sujinda Narathip , Saengsuwan Thanapon , Chaichana Natthiya
Published: August 2024

This study aimed to evaluate the characteristics related to the removal of moisture from green banana slices and the effect of the drying conditions on color and vitamin C preservation using a drying system based upon the use of a vacuum heat pump. The green banana slices underwent drying at 40, 50, and 60°C with vacuum pressure levels of 0, 40, and 80 kPa. The average drying time decreased by 18.9% and 32.7% as the vacuum pressure and temperature increased, respectively. Six thin-layer models underwent assessment to explain the kinetic process involved in moisture removal using the vacuum heat pump set to provide differing experimental circumstances, and fitted to experimental data. Results showed that the characteristics of moisture removal from the green banana slices could most appropriately be explained by the Page model. There is in increase in effective moisture diffusivity, which ranged from 1.1658×10−10 to 1.9717×10−10 m2·s−1, with increases in temperature and vacuum pressure. Energy of activation ranged from 15.99 to 19.73 kJ·mol−1, which was explained by an exponential expression based on the Arrhenius models. The drying temperature of 50°C under a vacuum pressure of 80 kPa could preserve the vitamin C content by a maximum of 55.9%, which is the optimal drying condition for obtaining good product quality.
Novel Integral Transform Treating Some Ψ-Fractional Derivative Equations
Authors: Chamekh Mourad , Latrach Mohamed Ali , Elzaki Tarig M.
Published: August 2024

The paper deals with a new integral transformation method called Ψ-Elzaki transform (PETM) in order to analyze some Ψ-fractional differential equations. The proposed method uses a modification of the Elzaki transform that is well adapted to deal with Ψ-fractional operators. To solve the nonlinear Ψ-fractional differential equations, we combine the PETM by an iterative method to overcome this nonlinearity. To validate the accuracy and efficiency of this approach, we compare the results of the discussed numerical examples with the exact solutions.
Morphological and physiochemical changes of jojoba under water pollution stress condition
Authors: Aboryia M. S. , Ali Mohamed Saleh M. , Elshiekh Ahmed F. , Alharbi Basmah M. , Elesawi Ibrahim Eid , Fikryi Ahmed M. , Helaly Ahmed A. , Ibrahim Fatma R. , swedan Eman A. , Abd El-Gawad Hany G. , Mahmoud Samy F. , EL-Boraie El-Sayed A.
Published: August 2024

Water security is a major challenge for agricultural sustainability in Egypt. To tackle water scarcity, the reuse of wastewater such as raw agricultural drainage water (RADW) and treated sewage drainage water (TSDW) can be a potential solution. An investigation was conducted over two seasons (2022 and 2023) for 5 months (January–May) on roughly 8-month-old jojoba plants to study their tolerance for irrigation with different concentrations of wastewater (RADW, TSDW) at 25%, 50%, 75% and 100% compared to the control (tap water). The study examined the effect of wastewater irrigation on growth parameters such as plant height, stem diameter, shoot numbers, leaf physical measurements, visual quality (VQ) and leaf chemical components including heavy metals (HMs), antioxidant capacity (2,2-diphenyl-1-picrylhydrazyl [DPPH]), ion leakage (IL%), superoxide anion (O2
•−), hydrogen peroxide (H2O2), malondialdehyde (MDA), leaf minerals, pigments, soluble carbohydrate content (SCC), total phenolic content (TPC) and proline performance in jojoba plants. The findings indicated that jojoba plants can tolerate irrigation with RADW up to a concentration of 100% and TSDW up to a concentration of 75%.
Chezy’s Resistance Coefficient in a Round-cornered Rectangle Channel
Authors: Loukam Imed , Achour Bachir
Published: August 2024

The determination of resistance coefficients, such as Chezy’s or Manning’s coefficients, requires a great deal of sensible thought in order to express these coefficients better and more extensively in free-surface channels and aqueducts. This can be achieved if the expression of the resistance coefficient is well stated and takes into account the maximum number of parameters for governing flows in channels. However, in most practical cases, if these coefficients are not expressed by implicit models, they are generally taken as constant and arbitrary. To this end and in a rational manner, the dimensioning and design of channels requires the expression of the resistance coefficient in an easily and explicit form by adopting numerous flow parameters, namely the roughness of the walls, the aspect ratio, the slope of the channels and essentially the viscosity of the liquid. To achieve this aim, the Chezy’s resistance coefficient C is identified using the rough model method (RMM), which gives the discharge under uniform flow conditions appropriate to a round-cornered rectangle channel.
Development of a Machine Learning-Based Model for Predicting the Incidence of Peripheral Intravenous Catheter-Associated Phlebitis
Authors: Yasuda Hideto , Rickard Claire M. , Mimoz Olivier , Marsh Nicole , Schults Jessica A , Drugeon Bertrand , Kashiura Masahiro , Kishihara Yuki , Shinzato Yutaro , Koike Midori , Moriya Takashi , Kotani Yuki , Kondo Natsuki , Sekine Kosuke , Shime Nobuaki , Morikane Keita , Abe Takayuki
Published: August 2024

Introduction

Early and accurate identification of high-risk patients with peripheral intravascular catheter (PIVC)-related phlebitis is vital to prevent medical device-related complications.

Aim of the study

This study aimed to develop and validate a machine learning-based model for predicting the incidence of PIVC-related phlebitis in critically ill patients.

Materials and methods

Four machine learning models were created using data from patients ≥ 18 years with a newly inserted PIVC during intensive care unit admission. Models were developed and validated using a 7:3 split. Random survival forest (RSF) was used to create predictive models for time-to-event outcomes. Logistic regression with least absolute reduction and selection operator (LASSO), random forest (RF), and gradient boosting decision tree were used to develop predictive models that treat outcome as a binary variable. Cox proportional hazards (COX) and logistic regression (LR) were used as comparators for time-to-event and binary outcomes, respectively.

Results

The final cohort had 3429 PIVCs, which were divided into the development cohort (2400 PIVCs) and validation cohort (1029 PIVCs). The c-statistic (95% confidence interval) of the models in the validation cohort for discrimination were as follows: RSF, 0.689 (0.627–0.750); LASSO, 0.664 (0.610–0.717); RF, 0.699 (0.645–0.753); gradient boosting tree, 0.699 (0.647–0.750); COX, 0.516 (0.454–0.578); and LR, 0.633 (0.575–0.691). No significant difference was observed among the c-statistic of the four models for binary outcome. However, RSF had a higher c-statistic than COX. The important predictive factors in RSF included inserted site, catheter material, age, and nicardipine, whereas those in RF included catheter dwell duration, nicardipine, and age.

Conclusions

The RSF model for the survival time analysis of phlebitis occurrence showed relatively high prediction performance compared with the COX model. No significant differences in prediction performance were observed among the models with phlebitis occurrence as the binary outcome.