bluuebunny/crossref_metadata_2025 huggingface dataset:
Regional Differences, Temporal Evolution, and Drivers of Rural Hollowing in Coastal Provinces: A Case Study of Fujian Province
Authors: Xu Guohui , Zhou Jinlong , Dai Yi , Lin Jinhuang , Zou Fangfang
Published: September 2023

This research delves into the spatial and temporal evolution characteristics of rural areas, focusing on understanding the phenomenon of rural hollowing in Fujian Province and other coastal regions. By analyzing data from the Fujian Province Statistical Yearbook and the Social Development and National Economy Statistical Bulletin (2010–2020), employing methodologies such as Pearson correlation and the natural interruption point method in ArcGIS, this study seeks to provide both theoretical and practical groundwork for rural revitalization efforts. The findings of this study yield significant insights. Firstly, a pronounced geographical differentiation emerges in the context of rural hollowing in Fujian province, characterized by a distinctive “high inland and low coastal” spatial pattern. Secondly, despite its coastal location, Fujian Province continues to confront substantial rural hollowing challenges. Although the overall pace of rural hollowing development has been moderate, the persistence of population and economic hollowing is noteworthy. Consequently, the issues of depopulation and economic decline in rural areas remain pressing concerns for Fujian Province. Lastly, the investigation identifies key driving forces behind the phenomenon of rural hollowing, encompassing factors such as arable land area, rural population settlement rate, economic development level, and farmers’ net income. These drivers significantly influence the dynamics of rural hollowing. Drawing from the research findings, this study proposes several strategic recommendations to counteract rural hollowing in coastal regions. These include tailoring management approaches to address geographical disparities, enhancing resource allocation and land utilization practices, orchestrating shifts in industrial structure to foster integrated urban–rural development, and emphasizing the revitalization of talent to sustain the progress of rural areas.
Spatial Integration of Cellular Shapes in Green Microalgae with Complex Morphology, the Genus Micrasterias (Desmidiales, Zygnematophyceae)
Authors: Neustupa Jiri , Woodard Katerina
Published: September 2023

While ontogeny of multicellular organisms requires an interplay among tissues, morphogenesis of unicellular structures is typically organised with respect to differential growth of their cell covering. For example, shapes of various microalgae have often been emphasised as examples of symmetric fractal-like cellular morphology. Such a self-similar pattern is typical for the variability of a spatial fractal, with the shape variation remaining the same at different scales. This study investigated how these cells are integrated. A geometric morphometric analysis of spatial integration in the genus Micrasterias was used to assess the variation across scales by comparing the slopes of the linear fit of the log bending energy against the log variance of partial warps. Interestingly, the integration patterns were distinctly different from the notion of self-similarity. The variability consistently increased with decreasing scale, regardless of the cultivation temperature or the species examined. In addition, it was consistent after the adjustment of the slopes for the digitisation error. The developmental control over the final shape progressively declines with decreasing spatial scale, to the point that the terminal lobules are shaped almost independently of each other. These findings point to possible considerable differences in the generation of morphological complexity between free-living cells and multicellular organisms.
Does Lead Have a Connection to Autism? A Systematic Review and Meta-Analysis
Authors: Stojsavljević Aleksandar , Lakićević Novak , Pavlović Slađan
Published: September 2023

Environmental pollutants, particularly toxic trace metals with neurotoxic potential, have been related to the genesis of autism. One of these metals that stands out, in particular, is lead (Pb). We conducted an in-depth systematic review and meta-analysis of peer-reviewed studies on Pb levels in biological materials retrieved from autistic children (cases) and neurotypical children (controls) in this work. A systematic review was conducted after the careful selection of published studies according to established criteria to gain a broad insight into the higher or lower levels of Pb in the biological materials of cases and controls, and the findings were then strengthened by a meta-analysis. The meta-analysis included 17 studies (hair), 13 studies (whole blood), and 8 studies (urine). The overall number of controls/cases was 869/915 (hair), 670/755 (whole blood), and 344/373 (urine). This meta-analysis showed significantly higher Pb levels in all three types of biological material in cases than in controls, suggesting a higher body Pb burden in autistic children. Thus, environmental Pb exposure could be related to the genesis of autism. Since no level of Pb can be considered safe, the data from this study undoubtedly point to the importance of regularly monitoring Pb levels in autistic children.
Reply to Augello, P.A.; Wu, J. Comment on “Rogers et al. The Combined Effects of Cannabis, Methamphetamine, and HIV on Neurocognition. Viruses 2023, 15, 674”
Authors: Rogers Jeffrey M. , Iudicello Jennifer E. , Marcondes Maria Cecilia G. , Morgan Erin E. , Cherner Mariana , Ellis Ronald J. , Letendre Scott L. , Heaton Robert K. , Grant Igor
Published: September 2023

We thank Augello and Wu [...]
Ecohydrological Footprint and Climate Trends in Lotic Ecosystems of Central Western Ghats
Authors: Ramachandra T. V. , Shivamurthy Vinay
Published: September 2023

An ecohydrological assessment of lotic ecosystems would provide insights into understanding the symbiotic interactions of hydrological and ecological processes for sustainable catchment management to ensure water security and achieve sustainable development goals (SDG). Global monitoring reveals changing climate patterns due to the unabated anthropogenic activities altering the ecohydrological behavior of waterscapes and thus affecting the sustenance of natural resources. The current research investigates the ecohydrological footprint using a modified water balance method by accounting for climatic and land-use trends across three river catchments in the northern portion of the Central Western Ghats. Assessment of landscape dynamics using temporal remote sensing data indicates the reduction in forest cover in Mahadayi, Ghataprabha, and Malaprabha river basins with increased anthropogenic activities. Evaluation of climate trends shows rising temperatures over 0.4 °C in the last century with increasing rainfall. The consequence of enhanced rainfall is increased overland flows to the extent of 35–80% in all river basins. Water availability in streams during all seasons is evident in the catchment dominated by native forest cover, while streams are intermittent and seasonal at the transition zone and plains. Analyses of temperature and rainfall in the last century indicate higher spatial variations directly influencing surface and subsurface hydrology. The reduced native forest cover has directly affected the variations in the local temperatures and precipitation patterns. This highlights the need for maintaining the ecological integrity of watersheds with native vegetation cover for sustaining the natural resources (water, etc.) that support the livelihood of farmers with socio-economic benefits.
Low-Dose Intravenous Methylprednisolone in Remission Induction Therapy for ANCA-Associated Vasculitis
Authors: Floyd Lauren , Morris Adam D. , Shetty Anamay , Brady Mark E. , Ponnusamy Arvind , Warwicker Paul , Dhaygude Ajay
Published: September 2023

Key Points

The contribution of IV methylprednisolone to glucocorticoid toxicity is often overlooked with limited evidence supporting its use.

Markedly reduced cumulative glucocorticoid dosing for remission induction therapy in AAV is safe and effective.

Reduced IV methylprednisolone and radical steroid avoidance strategies have not been shown to have any significant adverse effect on outcomes.

Background

Glucocorticoids (GCs) remain integral to the management of ANCA-associated vasculitis (AAV), but are associated with significant adverse effects. Recent studies have shown reduced oral GC dosing to be safe and effective; however, data guiding the use of intravenous (IV) methylprednisolone (MTP) are limited.

Method

A single-center retrospective cohort of patients with AAV were divided into two groups: low-dose GC (patients receiving 250 mg of IV MTP, followed by a tapering course of 30 mg of prednisolone daily) versus high-dose GC (1.5 g of IV MTP, followed by a tapering course of 40–60 mg of prednisolone daily). Primary outcomes included ESKD and mortality, and secondary outcomes included GC-related toxicity, remission, and relapse rates. This study was applied to patients with newly diagnosed AAV, including those with severe or life-threatening disease.

Results

Sixty-five patients were included in the final analysis—34 in the high-dose treatment group and 31 in the low-dose treatment group. At diagnosis, more advanced renal impairment and histological disease were present in the low-dose cohort. The rate of ESKD was similar between the groups at 6 and 12 months (P = 0.22, P = 0.60, respectively). More deaths occurred in the high-dose group (26.5% versus 6.5%, P = 0.05), although this was not significant on multivariable analysis (P = 0.06). Remission rates were comparable, and there was no significant difference in relapses. Adverse events were seen in both groups, but patients in the high-dose group experienced a higher incidence of severe infections, weight gain, and steroid-induced diabetes.

Conclusion

We demonstrate that a markedly reduced dose of IV MTP with a lower overall cumulative dose of GCs is safe and effective in the management of severe AAV disease, with no significant difference in primary outcomes.
The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence
Authors: Xiong Hui , Chu Congying , Fan Lingzhong , Song Ming , Zhang Jiaqi , Ma Yawei , Zheng Ruonan , Zhang Junyang , Yang Zhengyi , Jiang Tianzi
Published: September 2023

In recent years, advances in neuroscience and artificial intelligence have paved the way for unprecedented opportunities to understand the complexity of the brain and its emulation using computational systems. Cutting-edge advancements in neuroscience research have revealed the intricate relationship between brain structure and function, and the success of artificial neural networks has highlighted the importance of network architecture. It is now time to bring these together to better understand how intelligence emerges from the multiscale repositories in the brain. In this article, we propose the Digital Twin Brain (DTB)—a transformative platform that bridges the gap between biological and artificial intelligence. It comprises three core elements: the brain structure, which is fundamental to the twinning process, bottom-layer models for generating brain functions, and its wide spectrum of applications. Crucially, brain atlases provide a vital constraint that preserves the brain’s network organization within the DTB. Furthermore, we highlight open questions that invite joint efforts from interdisciplinary fields and emphasize the far-reaching implications of the DTB. The DTB can offer unprecedented insights into the emergence of intelligence and neurological disorders, holds tremendous promise for advancing our understanding of both biological and artificial intelligence, and ultimately can propel the development of artificial general intelligence and facilitate precision mental healthcare.
Quality Factors of Intention To Use in Artificial Intelligence-Based AIKU Applications
Authors: Heru Riza Chakim Mochamad , Kho Ardi , Puji Lestari Santoso Nuke , Agustian Harry
Published: September 2023

Air Quality Artificial Intelligence (AIKU) is an Android-based application that allows individuals to check air conditions using their smartphones. This study aims to evaluate the application of Artificial Intelligence Air Quality (AIKU) based on user perceptions and evaluate how this affects the user's intention to utilize the Halal MUI application. Quantitative research methods were applied in this investigation. The data collection instrument was a questionnaire which was divided into four parts: introduction, explanation of the AIKU application, personal information of the respondent, and the core, which contains questions about the quality of the MUI Halal application. Multiple linear regression analysis examines the relationship between quality characteristics and usage decisions. Based on the research findings, the average quality score is 3.08 on a scale of 4.00, indicating that users perceive the AIKU application as a high-quality application. The results of the model reliability test with the F test show that the estimated linear regression model can be used to describe the effect of smartphone application quality on usage decisions. The t-test findings for the three quality variables show that the three Webqual 4.0 variables significantly influence the user's intention to use AIKU applications in the future. The characteristics of usability, information quality, and service interaction can explain 43.7% of the intention to use AIKU applications.
Analysis of Factors Influencing Intention to Adopt Battery Electric Vehicle in Indonesia
Authors: Saputra Muhammad Candra , Andajani Erna
Published: September 2023

The emergence of environmental pollution problems in recent years has compelled the transportation sector to embrace environmentally friendly electric vehicles. Indonesia, being a significant market for both two-wheeled and four-wheeled vehicles, nevertheless experiences relatively low adoption of electric vehicles (EVs). This study aims to analyze the influence of attitudes, subjective norms, perceptions of behavioral control, moral norms, environmental awareness, financial incentive policies, and risk perceptions on the intention to adopt battery electric vehicles (BEVs). This research falls under the category of basic research, specifically quantitative in nature, involving the analysis of numerical data using statistical methods. Data for the study were collected through an online questionnaire using a non-probability purposive sampling design. The collected data were processed using SPSS 25 software and subjected to a Partial Least Square Test. The data analysis for this study utilized SmartPLS software version 3.2.7. Results based on a sample of 224 respondents suggest that attitudes and subjective norms do not significantly influence BEV adoption intentions. However, while perceived behavioral controls, moral norms, environmental concerns, and financial incentives have a positive and significant impact on willingness to adopt battery electric vehicles (BEVs), the perceived risks , has a negative and significant impact on BEV adoption intentions.
Faktor-Faktor Yang Mempengaruhi Minat Mahasiswa Berkarir Sebagai Akuntan Pajak (Studi Pada Mahasiswa Prodi Akuntansi Universitas Negeri Di Pekanbaru)
Authors: Arisandy Nelsi
Published: September 2023

This study aims to examine the effect of motivation, self efficacy, learning effectiveness of taxation courses and labor market considerations on the interest of accounting students to have a career as tax accountants. This study uses quantitative methods with primary data used in the form of questionnaires distributed to respondents and the results are analyzed using SPSS Version 23 as a test tool. The population in this study were students majoring in accounting, class 2018. The research sample amounted to 88 students, with the sample method used, namely the purposive sampling method. The data analysis method used is multiple linear regression analysis. The results showed that all independent variables, namely motivation, self efficacy, learning effectiveness of taxation courses and labor market considerations had a significant effect on the dependent variable, namely the interest of accounting students to have a career as tax accountants.
Revisit the Use of Index Returns as the Proxy of Market Return in CAPM
Authors: Hilman Muhammad Irfan
Published: September 2023

This study compares the performance of the capital asset pricing model (CAPM), which uses a mean-variance optimal portfolio, and the Jakarta Composite Index (JCI) as the market return proxy. The data samples are monthly stock returns of Kompas 100, LQ45, and IDX30 index from September 2012-August 2022. The expected returns of assets are calculated using the CAPM with rolling regression methodology based on each index's 2-5 years period. The mean-squared errors for each sample group are calculated to determine the CAPM performance. Although the market indexes have a sub-optimal risk and return profile according to their position on the efficient frontier diagram, this study finds that the JCI as the market proxy results in better CAPM performance than the optimal portfolio. However, the beta results from using JCI as the market proxy are also consistently higher than those using an optimal portfolio, leading to the overestimation bias of the asset risk. Since most studies in CAPM testing use the market index as the market return proxy, particularly JCI in Indonesia, this study provides new insight into the challenges of using the optimal portfolio as the market return proxy.
Selection of Quality Textile Materials as a Support for Supply Chain Management with the Weighted Product Method
Authors: Martunasia Alvi
Published: September 2023

Decision making is a matter that is very influential in the process of dealing with the selected alternative. At this time in making decisions is no longer just by human reason. Human limitations in thinking to solve a problem can now be assisted by computerization. The use of computers has developed from just processing data or presenting information, to being able to provide choices as a support for decision makers. The development of information technology has enabled decision makers to be made more quickly and accurately. The research aims to apply the weighted product method in reducing errors in the selection of quality textile materials. This research aims to facilitate the selection of quality textile materials. This research aims to be a good solution for khatialo shops in selecting quality textile materials. The weighted product (WP) method is one of the methods used to complete a decision-making system by considering the criteria and weights . Then proceed with the ranking process which will select the best alternative from a number of alternatives, in this case the alternative in question is the selection of quality textile materials based on the specified criteria. The results obtained with the highest rating value were achieved by the 4th alternative called Semi Sutra with the code TK04 alternative
Organizational Change & Restructuring: Analisis Bibliometrik & Literature Review pada Basis Data Scopus (1987–2021)
Authors: Ginanjar Jajang , Raharja Sam'un Jaja , Rivani Rivani
Published: September 2023

Change is essential for organizations in sustainable growth and especially in a highly competitive business environment. The literature on the concepts of organizational change and restructuring is important in an effort to provide a reference for academics in exploring scientific developments as well as being useful for practitioners in providing options regarding the application of these concepts in the field. This study aims to provide an overview of the past, current and future research directions from the research field of Organizational Change & Restructuring, namely to see and provide links or relationships between the fields of organizational change and restructuring through bibliometric analysis. The method used in this study is a combination of quantitative and qualitative by mapping the relationship between Organizational Change and Restructuring research using a two-step research approach: 1) Bibliometric technique to analyze 263 publications by presenting publication distribution data, mapping visualization & network density, and keyword analysis. 2) Furthermore, based on document citation data, analyze the 12 articles that occupy the top number of citations. For further review of the literature, comparing with research findings before or after according to the theme of each article. The results of the study indicate that there is still a lot of room for exploitation and exploration of the combined study of Organizational Change and Restructuring, so it is hoped that by taking the two analytical steps above, it will eventually provide some kind of recommendation for future research.
Müverrih Ebü’l-Ferec’in Yahudi Kökeni ve İbnü’l-İbrī Nisbesi Hakkında
Authors: ÖZDEMİR Şükrü
Published: September 2023

The renowned thirteenth-century Syriac historian Gregory Abū al-Faraj was an encyclopaedic and prolific author, writing in fields as diverse as theology, history, literature and philosophy. This multifaceted approach makes him a forerunner of the Renaissance concept of “homo universalis”, embodying the quest for “universal knowledge”. Among his notable works, the Makhtebhanūth zabhne, written in Syriac by Abū al-Faraj, is a cornerstone of Turkish and Islamic historical studies. The article explores the semantic nuances behind his relativity, Ibn al-Ibri, and summarises the prevailing discussions. It also examines the claims made by European orientalists to Abū al-Faraj’s Jewish ancestry, as well as the counter-arguments put forward by opposing scholars. Most importantly, this article offers fresh and original insights into this complicated subject, thus broadening the discourse surrounding Abū al-Faraj’s background.
Designing for the Most Vulnerable: Cultivating More Genuine Empathy Through Transdisciplinary Research
Authors:   Northeastern University, Laboy Michelle
Published: September 2023

What would cities look like if they were designed for the most vulnerable? This question proved fertile ground for a research-based pedagogy focused on one specifically vulnerable group—young children—disproportionately impacted by current social unrest, ecological degradation, and extreme urbanization; and yet seldomly the subject of architectural research or education except in limited typologies, e.g. schools and playgrounds—where they are segregated into. The two-semester research studio asked, what if instead of more or better spaces dedicated to children, the entire city was redesigned for them? Students examined the child’s experience in the contemporary city and the way design turns children’s vulnerability into a liability, especially in the context of urbanization and climate change. During the first of two semesters, students collaborated in transdisciplinary research resulting in a jointly-authored framework of evidence-based design principles: playfulness, safety, health, sustainability, and inclusivity; arguing how designing for children would make a better city for everyone. Drawing on ample evidence of how open and frequent access to immersive experiences in natural landscapes positively influence children’s cognitive, physical and emotional development; the course challenged whether these “natural experiences” are at odds with dense and compact urban development. This polemic generated a challenge for design research during the second semester: how to design “natural experiences” into everyday spaces of dense cities, beyond the centralized park? This was a point of departure for ten individual design investigations, that together illustrate the potential for a new constructed urban landscape. Projects focused in the city of Boston, including planning for inclusive housing, transportation, and coastal resilience; and hybrids of socio-ecological infrastructure and learning environments. This pedagogical analysis reveals how transdisciplinary research expands the definition of vulnerability, cultivates genuine empathy, and builds confidence in designers’ social agency; but also uncovers unique challenges and opportunities for architectural education and practice.
Posición actual de los antitiroideos de síntesis y del iodo radioactivo en el tratamiento del hipertiroidismo
Authors:   , Allan Jorge Horacio
Published: September 2023

Coüdet de Ginebra fué probablemente el primero en usar el iodo en el tratamiento del hipertiroidismo. Anteriormente se habían usado esponjas y al gas marinas quemadas y fué éste autor quien descubrió que el principio activo era el iodo, pués lo describe en sus memorias de 1820. Se piensa que lo usaba en el bocio endémico y también en hipertiroidismo, en los cuales obtenía sorprendentes reducciones y hasta la desaparición de los síntomas de la enfermedad* Plummer en el año 1923 comienza a usar el iodo en forma racional, obteniendo grandes resultados, sobre todo en el preoperatorio del hipertiroidismo. La acción del iodo se ejerce sobre la glándula y no sobre la hormona tiroidea, pués el aumento de la concentración del iodo en sangre, altera la actividad de la glándula y nó la de la hormona circulante; ésto nos revela la falta de acción del iodo en las personas normales, a las cuales se les administra la hormona. La respuesta al iodo, cuando se hace en un bocio tóxico, al cual no se le ha hecho nunca dicha medicación, o bien que ha habido un lapso de varias semanas sin hacerlo, si se administra una dosis mínima, se produce una respuesta progresiva, que requiere un plazo de 10 días por lo menos para alcanzar su máxima intensidad. La respuesta sintomática, puede variar de una a otra persona, pero en general, es casi constante. Esta respuesta consiste en que ya a la primera dosis mejoran los síntomas generales de hipertiroidismo; así un enfermo hiperirritable se calma y hasta el psicópata retorna a la normalidad mental.
Quatre Pièces caractéristiques, op.5 and Quatre Pièces fugitives, op.15 by Clara Schumann in the context of the composer’s style evolution
Authors: Nikolenko Roksana
Published: September 2023

The article is devoted to consideration of the compositional, dramaturgical and stylistic features of two cycles of C. Schumann’s piano miniatures: Quatre Pièces characteristicistiques op.5 and Quatre Pièces fugitives op.15, which show the evolution of the composer’s style. An example of a concert-virtuoso interpretation is the cycle op.5. It is characterized by a variety of strokes and a wealth of dynamic nuances, as well as an emphasized brightness of musical images. Another cycle, op.15, is an intimate composition and demonstrates a departure from the brilliant virtuosity that was characteristic of the first period of the composer’s work. These opuses differ in the principles of the dramaturgical solution and the implementation of programmatic in them. However, they have certain stylistic constants: contrasting combinations of different textures and themes, whimsical rhythms.
Tingkat Kepuasan Penghuni Perumahan berdasarkan Perspektif Penghuni Perumahan
Authors: Simamora Rosima Hasym , Kadri Mohtana Kharisma , Astha Dwinsani Pratiwi , Nugroho Rizky Arif
Published: September 2023

Program sejuta rumah merupakan solusi untuk mengurangi backlog perumahan dengan membangun rumah sederhana dan subsidi sebagai implementasi dari program tersebut. Namun, menurut masyarakat yang menjadi penerima manfaat program, mengungkapkan ketidakpuasan terhadap implementasi program. Salah satu masalah utama dalam rumah subsidi hasil implementasi dari program sejuta rumah yaitu aspek prasarana, sarana dan utilitas rumah. Adapun perumahan subsidi yang terdapat di Kota Balikpapan yaitu Perumahan Green Valley, Kariangau. Oleh karena itu, perlu dianalisis mengenai tingkat kepuasan warga yang tinggal di perumahan sebagai penerima manfaat dari program tersebut. Tujuan penelitian ini ialah menilai tingkat kepuasan penghuni rumah di Perumahan Green Valley. Metode analisis pada penelitian ini yaitu analisis Customer Satisfaction Index (CSI). Berdasarkan hasil penelitian ini menunjukkan tingkat kepuasan penghuni perumahan rumah subsidi berdasarkan perspektif penghuni Perumahan Green Valley sebagai penerima manfaat program sejuta rumah berdasarkan hasil perhitungan CSI yaitu 59% masuk ke dalam kriteria CSI dengan interpretasi cukup puas.
A Study on the Effect of Incentives on Employees Performance
Authors: Jegatheeswari P. , Anandi D.
Published: September 2023

The aim of this study is to research how different incentives affect the employees performance and job satisfaction. In the study , the effects of recognition, participation, feedback, monetary incentives, non-monetary tangible incentives and benefits on performance and job satisfaction are researched. It is posited that different incentives have different effects on performance and job satisfaction. Effects of incentives on performance and job satisfaction are researched through critical literature review and Questionnaire.
High-performance organic field effect transistor of liquid crystalline organic semiconductor using silver electrodes with bottom-gate top-contact configuration
Authors: Kang Sabina , Aburada Kai , Hanna Jun-ichi , Iino Hiroaki
Published: September 2023

We have investigated organic field effect transistors (OFETs) fabricated with liquid crystalline organic semiconductor, 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-10), and silver (Ag) source-drain electrodes. Ph-BTBT-10 OFETs using Ag source-drain electrodes in bottom-gate top-contact configuration exhibit high mobility of 8.2 cm2 Vs−1, which is similar to those of gold (Au) electrodes. Contact resistance of Ph-BTBT-10 OFETs using Ag electrodes achieved 0.49 kΩcm by transfer length method, which is lower than those of Au electrodes, 2.7 kΩcm. Ph-BTBT-10 OFET using Ag source-drain electrodes in bottom-gate top-contact configuration is a promising candidate for high-performance and low-cost OFETs.
The Developmental of An Educational Model for Preventing Anaemia in Pregnant Women
Authors: Handayani Gusti Lestari , Elrifda Solha , Febriyola Vina , Amka Hadiyah Chairanny
Published: September 2023

Anemia in pregnant women is a global health problem. The impact of anemia on pregnant women during pregnancy can threaten the development of the fetus. Compliance with consumption of Fe tablets is one of the influencing factors. Health promotion through educational video media can be used to increase knowledge in increasing knowledge. This study aims to evaluate the visigamia video educational model for preventing anemia in pregnant women.

This type of research is design and development research (Research and development) with a mixed methods approach. The development research steps are carried out using the A-D-D-I-E framework (Analysis, Design, Development, Implementation and evaluation). The sample in this study were pregnant women at the Kenali Besar Community Health Center, Jambi City, who received Fe tablets and who took part in the class of pregnant women as many as 30 people as a sample with a total sampling technique. The research was conducted in June 2022. Data was collected using a knowledge questionnaire sheet and research data were analyzed univariately and bivariately with the T-Dependent test.

The results of the development of an educational model in the form of a visigamia video which is an animated video containing material on preventing anemia in pregnant women. The implementation of the research shows a significant increase in knowledge before and after using the application and assessing the use of the application p-value 0.0001 (CI.95%). This visigamia video can be an educational medium for pregnant women which contains unique material on preventing anemia in pregnancy, and the effects of anemia in pregnancy.
Analysis Implementation of Health Protocols in Controlling of Covid-19 to Children in Jambi City
Authors: Sari Jessy Novita , Yamistada Gustomo
Published: September 2023

The community, especially children, still need to implement health protocol to control Covid-19 optimally. Data from the Ministry of Education and Culture shows that 581 clusters of elementary school children have caused 6,908 cases of COVID-19 in children. This study aimed to determine the application of health protocols in controlling the risk of Covid-19 disease in children in Jambi City.

 This research is quantitative. The samples in this study were 40 children. Data analysis was descriptive-analytic. The results of the survey showed 1) 18 children (45%) had good knowledge about Covid-19 disease and 22 people (55%) had the wrong category. The risk of transmission of Covid-19 in children in the high class is 26 people (65%), and 14 people (35%) in the low category. Implementation of health protocols for children in the good category was 12 people (30%) and 28 people (70%) in the bad category. 2) There is a significant relationship between knowledge and implementation of health protocols (P=0.000) 3) There is a significant relationship between the implementation of health protocols and the risk of transmission of Covid-19 (P=0.001). The recommendation is that parents are expected to consistently supervise their children to implement health protocols, especially outside the home. In addition, there is a role for teachers in schools to continue to provide knowledge and supervision of school students in controlling Covid-19.
The Influence of Giving Green Bean Extract and Bean Extract Soybean on Increasing Haemoglobin Levels in Trimester III Pregnant Women
Authors: Suryani Suryani
Published: September 2023

Anemia is a health problem throughout the world, especially in developing countries. Iron deficiency problems often cause anemia in pregnant women because iron is needed to help the body produce new red blood cells rich in oxygen and nutrients; the impact of anemia on pregnant women is not insignificant. Mainly, pregnant women who experience anemia in pregnancy will affect the period of pregnancy, labor, and childbirth, namely miscarriage, bleeding, premature parturition, uterine inertia, prolonged delivery, uterine atony, shock, stillbirth, in the puerperium, and can even have an impact on death. Aim the study to measure the increase in hemoglobin levels in third-trimester pregnant women from the effect of green bean and soybean extracts.

 This research is a quasi-experimental research with a two-group pre-test - post-test approach. The population of this study was the third-trimester pregnant women who had their pregnancies checked at the Putri Ayu Public Health Centre. The sampling technique for this study was simple random sampling, and the sample size was 20 respondents who met the inclusion criteria. The sample used in this study is simple random sampling. Following the research hypothesis described, the statistical analysis technique used is univariate with frequency distribution and bivariate with the Wilcoxon test. Research analysis was carried out with the help of a computerized program. Based on the study's Wilcoxon test results, the green bean group value was ρ = 0.003 (CI 95%), while in the soybean group, it was ρ = 0.011. This means that mung bean extract is more influential in increasing haemoglobin levels in thirdtrimester pregnant women than soybean extract.
The Effect of Balanced Nutrition Educational Game Methods on The Behaviour of Consuming Healthy Food in Student of The State Elementary School
Authors: Rosmaria Rosmaria , Triana Winda , Aziza Nur
Published: September 2023

Health problems in school-age children, especially in terms of nutrition, are still a problem in Indonesia, such as being underweight and overweight, this is caused by physical activity, and vice versa, nutritional status affects children's physical activity. Therefore, dietary problems often experienced by school-age children, such as malnutrition and overnutrition, if these nutritional problems are not treated as early as possible, can affect children's health in the future.

This study is a pre-experimental research design that used one group pre-test and posttest, namely the effect of the balanced nutrition education game method on healthy eating behavior in students of SDN 87 Jambi City, which was carried out one time, before and after giving a balanced nutrition educational game.

The results showed effect of the educational game method on the Wilcoxon test results showed the Asymp Sig (2-tailed) value of 0.000. The balanced nutrition education game method influences the behavior of consuming healthy food at SD Negeri 87 Jambi City in 2022. This is hoped to continue to provide balanced nutrition education using media that researchers for students have created so they can consume healthy balanced nutrition food.
Incidence and Control of Insect Pests of Vegetable Crops on Jos Plateau, Northern Nigeria
Authors: PARH I.A. , MGBEMENA M.O. , ANOZIE O.C. , TANYIMBOH E.N.
Published: September 2023

A study on the insects associated with green beans, okra, peas and cabbages was carried out at Vom and Riyom Agricultural Stations in Jos, Nigeria from October, 1980 to April; 1984. During the study period, a wide range of insects were found in association with green beans and okra plants. Sericothrips occipitalis, Empoasca spp., Aphis craccivora, Zonocerus variegatus and Bemisia tabaci were found on pea, green beans and okra plants while Myzus persicae and Brevicoryne brassicae were common on cabbage plants. Early infestation of okra and cabbage by Podagrica spp. and Brevicoryne brassicae respectively within the first three weeks after sowing, resulted in poor plant performance and low yield. Insecticide treatments reduced insect population on the treated plants and enhanced yield. In this study, insecticide treatments and the treatment of using ordinary water to hand wash aphids from cabbage plants bi-weekly, reduced aphid population on plants and increased crop yield. The number of insects on different experimental plants treated with Dichlorvos at 500, 750 and 1000g a.i/ha; pennethrin at 12.5g a.i/ha; deltamethrin at 7.5, 10.5, 12.5 and 17.5g a.i/ha, cypennethrin at 12.5g a.i/ha; carbofuran 3g at 100g a.i/ha was less than those on untreated plants.
Comparative Effects of Isolation and Crowding on Larval Growth and Timing of Pupation of Trogoderma granarium Everts (Coleoptera: Dermestidae)
Authors: ODEYEMI O.
Published: September 2023

The effects of isolation and crowding on the growth and development of Trogoderma granarium Everts larvae were investigated under laboratory conditions (28±2″ C, 70± 10% and 12L:12D). Head capsule increased under both conditions and reached a peak between the 20th and the 24th day after hatching. Larvae reared under crowded conditions were significantly bigger than those reared under isolated conditions. However, larvae reared in isolation completed pupation on the 28th day after hatching while those reared under crowded conditions completed pupation on the 43rd day after hatching.
A Comparative Study of Grid-Forming Controls and their Effects on Small-Signal Stability
Authors: Lamrani Yahya , Colas Frédéric , Van Cutsem Thierry , Cardozo Carmen , Prevost Thibault , Guillaud Xavier
Published: September 2023

This article provides a new take on the impact brought by Grid Forming (GFM) converters by showing that not all GFM converters improve the system stability with the same efficacy. It paper investigates the mechanisms behind converters driven stability and quantifies the stabilizing effect of grid-forming controls. The linearized state space model of different combinations of control strategies is analyzed in a multi-infeed system considering various operating points. Through a parametric sensitivity study and an examination of the participation factors of key eigenvalues of the linearized models, it is confirmed that grid-forming controls contribute to system stabilization. Moreover, this paper demonstrates that this stabilizing effect varies significantly depending on the specific grid-forming control implemented: whether a current control loop is used or not, notably impacts stability.
Implementation framework for robust detection, synchronization, and decoding of M-ASPM communications
Authors: Nikitin Alexei , Davidchack Ruslan
Published: September 2023

M-ary Aggregate Spread Pulse Modulation (M-ASPM) is a recently introduced physical layer (PHY) modulation technique that is well suited for use in low-power wide-area networks (LPWANs). Notably, M-ASPM combines high energy-per-bit efficiency, robustness, resistance to interference, and a number of other favorable technical characteristics, with the spread-spectrum ability to maintain the capacity of an uplink-focused network while extending its range. However, while the essential tools for detection and synchronization of pulsed spread-spectrum waveforms in general, and the M-ASPM signals in particular, have been previously provided, a practical framework for combining the detection, synchronization, and decoding of an M-ASPM packet has not been yet suggested. In this paper, we outline such a framework, and describe a prototype algorithm for its implementation. This implementation can be subsequently adapted, under given technical constraints, to specific practical complications such as, for example, significant delay spreads, external technogenic interference, or co-channel and inter-channel collisions. In addition to low latency and computational complexity, the main requirement for this prototype algorithm is that the signal quality remains effectively invariant, for a given path loss, and for a wide range of the data rates, payload sizes, lengths of pulse shaping filters (PSFs), and pulse duty cycles, for a relatively large mismatch in the frequency of the local oscillators (LOs) in the transmitter (TX) and the receiver (RX), and for the TX and RX motions at relatively high speeds. Further, this needs to be achieved without any feedback communications between the TX and RX, any hardware or software changes in the TX, and any hardware adjustments in the RX (e.g., in the LO~frequency or sampling time offsets).
Targeted Sensitization of Glioblastoma Multiforme Using AAAPT Technology
Authors: Akay Metin , Mendieta Megan , Avci Naze G. , Sanchez Cristina Cereceda , Pandurangi Raghu S. , Akay Yasemin
Published: September 2023

Microwell-generated GBM spheroids are sensitized by AAAPT drugs using targeted, cleavable linkages to reduce off-target toxicity.
Enhancing Accuracy of Low-Cost Floor Sensor Data for Human Localization using the Human SLIP Model
Authors: Akhavan Safaei Erfan , moradi mahdi , Honarvar Mohammad Hadi
Published: September 2023

 Enhancing Accuracy of Low-Cost Floor Sensor Data for Human Localization using the Human SLIP Model 
XGenRecon: A New Perspective in Ultra-Sparse CBCT Reconstruction through Geometry-Controlled X-ray Projection Generation
Authors: Zhang Chulong , Liang Xiaokun
Published: September 2023

We propose a novel paradigm for cone-beam computed tomography (CBCT) reconstruction from ultra-sparse X-ray projections, by introducing a framework that generates auxiliary X-ray projections under controlled geometric parameters. This innovation overcomes the limitations of conventional methods that are constrained to producing fixed-angle projections. Our approach is organized into three key modules: the XGen, X-Correction, and CT-Correction module. Through the XGen module, we generate projections based on any given geometric parameters to supplement the geometric information in the projection domain. The X-Correction module then introduces geometric corrections to harmonize the generated projections. Finally, through the CT-Correction module, the reconstructed image undergoes refining, thereby enhancing the image quality within the image domain. We have validated our model on several datasets including a large-scale publicly available lung CT dataset (LIDC-IDRI with 1018 patients); an extensive abdominal CT dataset (AbdomenCT-1K, with a selected 1k patients); and our proprietary pelvic CT dataset, collated from a hospital (445 patients). Real walnut projection data were also incorporated for genuine projection validation. Compared to the traditional projection generation methods and the state-of-the-art ultra-sparse reconstruction techniques on 2-view and 10-view tasks, our method has demonstrated consistently superior performance across various tasks.
Spectrum-sliced wavelength division multiplexing based free space optical communication considering wind speed and rainfall parameters
Authors: Yarra Naga Subrahmanya Vamsi Mohan , A Sivanantha Raja , K ESAKKI MUTHU
Published: September 2023

Free space optical system (FSO) is a wireless communication system which offers unlicensed spectrum with low cost of deployment. Losses caused by atmospheric turbulence are an enormous challenge for FSO systems. These losses are modeled by Gamma-Gamma model. The Gamma-Gamma model is used to represent moderate to strong turbulence. This model considers wind velocity, but does not consider Rainfall parameter for the calculation of refractive index structure parameter Cn2. In this research paper, we have considered effect of heavy rainfall as well as rms value of strong wind velocity which exist in hilly terrains. This modified model for the proposed spectrum-sliced wavelength division multiplexing (SS-WDM) FSO communication link incorporates differential phase shift keying (DPSK) between the popular high altitude Nilgiris Mountains from the state of Tamilnadu, India. Simulation of conventional model and the modified model by considering rainfall parameter as well as wind velocity has been demonstrated using meteorological data. The results in terms of Eye diagrams, and performance metrics such as Bit error rate (BER), log (BER), Q-factor, and Maximum eye height indicate that the modified model is more accurate for maintaining foolproof and efficient FSO communication link.
Hybrid RIS-assisted Interference Mitigation for Heterogeneous networks
Authors: Soumana Hamadou Abdel Nasser
Published: September 2023

Reconfigurable intelligent surfaces (RIS) have evolved as a low-cost and energy-efficient option to increase wireless communication capacity. In this research, we suggest using hybrid reconfigurable intelligent surfaces (H-RIS) to reduce interference in heterogeneous networks (HetNet). In contrast to traditional passive RIS, a hybrid RIS is suggested, which is fitted with a few active elements to not only reflect but also amplify incident signals for a significant performance increase. By jointly optimising the passive and active coefficients of the HRIS, we aim to maximise the rate of the small cell user (SUE). We presented an effective alternating optimisation-based phase shift matrix coefficients (AO-PMC) technique to tackle this problem by iteratively optimising these variables because the optimisation problem is not convex. The simulation results demonstrate that, in comparison to the passive RIS-assisted HetNet scheme and the scheme without RIS, the suggested scheme, with just a few active elements, can enable the HetNet to gain superior spectral efficiency (SE) and energy efficiency (EE). The outcomes also demonstrate that, in the majority of the cases taken into account, H-RIS can outperform the active RIS-assisted HetNet scheme.

 
Deep Learning from Noisy Labels with Some Adjustments of a Recent Method
Authors: Fazekas István , Fórián László , Barta Attila
Published: September 2023

In this paper we have used JoCoR, a fairly recent method for learning with label noise, that makes use of two neural networks with a joint loss function using an additional contrastive loss to increase the agreement between them. This method can be extended to more than two networks in a straightforward way. We have carried out experiments on the CIFAR-10 and CIFAR-100 datasets (contaminated by synthetic label noise) with this kind of extension using several contrastive losses. We have concluded that it makes a significant improvement if we use a third network, especially when we use Kullback-Leibler terms for all possible pairs of softmax outputs. Further extension also means some kind of improvement, but in the case of the CIFAR datasets, those were not so significant, maybe except the cases with lower ratio of label noise.