bluuebunny/crossref_metadata_2025 huggingface dataset:
ASSOCIAÇÃO ENTRE A ENDOMETRIOSE E O ESTRESSE OXIDATIVO: UMA REVISÃO DE LITERATURA
Authors: Santos Johnatan da Conceição Bezerra dos , Brasil Nathalya Bezerra , Rodrigues Icaro Bruno Azevedo , Cedrim Liz Ferrari , Amorim Lara Vasconcelos de Melo , Sampaio Maria Fernanda Calheiros Magalhães , Lopes Isabelli Maria Sarmento , Albuquerque Vinícius Rodrigues , Costa Marcelo Danilo Damaso Lisboa , Barbosa Mariana Guerra de Holanda , Pereira Priscila Clark Bertho , Rocha Raquel dos Santos Coruripe
Published: May 2024

O presente artigo tem como objetivo revisar a literatura quanto a relação entre a endometriose, o estresse oxidativo e a inflamação, visando elencar os possíveis mecanismos influenciados pelo EO e as sua relação com a prevalência dessa patologia. Trata-se de uma revisão sistemática de literatura, que busca, com base na bibliografia atual, conclusões para pergunta norteadora. Assim, foram selecionados estudos científicos nas plataformas PubMed e BVS, utilizando-se das seguintes estratégias de busca: “endometriosis AND free radicals”, “inflammation AND oxidative stress AND endometriosis”, “oxidative stress AND endometriosis”. Nove artigos foram selecionado e analisados para o embasamento do trabalho em diferentes pontos de vista. Após a revisão, foi evidenciado que o estresse oxidativo, associado à resposta inflamatória local e sistêmica, favorecem a adesão de células endometriais na cavidade peritoneal e consequente surgimento das lesões endometrióticas e toda a sintomatologia relacionada. Com isso, torna-se evidente a relação da patogênese da endometriose com a disfunção homeostática causada pelo EO. Contudo, necessita-se de mais estudos, em especial de caráter quantitativo, para determinação de uma classificação, baseada em evidências científicas, para o uso dos biomarcadores oxidativos e as respectivas vias que são afetadas frente a um aumento deles.
Heuristic synthesis as tool for creating of promising tool
Authors: Kostryukov A.A. , Kuznetsov V.A.
Published: May 2024

The use of parts made of modern materials in production processes makes it necessary to synthesize more efficient processing methods. The application of the algorithm of heuristic synthesis is considered on the example of the problem of adhesive setting during reduction. The steps of its application in encompassing reduction are consistently shown and described. Technical recommendations are provided, implemented on the example of manufacturing a shaped mandrel.
THE EMPLOYABILITY OF CRIMINOLOGY GRADUATES FROM ACADEMIC YEAR 2019 TO 2023: A TRACER STUDY
Authors: Lykka Jane F. Procurato  , Ellyn Mar Manzano  , Ariel A. Alamban  , John Mark C. Poquita
Published: May 2024

This tracer study aimed to assess the employment rate and status, as well as self-rated perceptions of work attitude, educational quality, and skills development among Bachelor of Science in Criminology (BSC) graduates of Kapalong College of Agriculture, Sciences and Technology (KCAST) from academic years 2019 to 2023. The study utilized a descriptive research method to gather information on the traceability of BSC graduates. A complete enumeration random sampling method was employed, with a total population of 171 graduates (81 males and 90 females). Findings revealed that most graduates were single and aged between 20-30, with batch 2023 producing the highest number of graduates. A small percentage pursued vocational courses or further studies. The employment rate stood at 35%, with a majority employed as regular or job order employees. Graduates reported a relevant college degree to their present work, with a significant portion earning monthly incomes ranging from 11,000 to 30,000. The majority took 0-8 months to secure employment post-graduation. Additionally, a notable proportion worked in degree related jobs. The study found high levels of work ethic, educational quality provision, and skills and abilities development among BSC graduates. These findings contribute to KCASTs commitment to providing quality education and enhancing graduates employability, aligning with its institutional goals and social responsibilities.
KEYWORDS: tracer study, criminology, employability, davao del norte, Philippines
Evaluating the Efficiency of Activity-Based Costing in Modern Manufacturing Enterprises
Authors: - Dr Sunil Kumar Sharma
Published: May 2024

This research paper investigates the efficacy of Activity-Based Costing (ABC) in modern manufacturing enterprises, aiming to enhance cost accuracy and decision-making processes. Through a mixed-methods approach, including literature review and case study analysis, the study evaluates the implementation of ABC in manufacturing enterprises and compares its results with traditional costing methods. Findings reveal that ABC provides more accurate cost allocations and overhead rates, leading to improved profitability measures for products. The analysis underscores the significance of ABC in enabling better resource allocation, pricing strategies, and product mix optimization, thereby enhancing competitiveness and profitability in modern manufacturing environments. However, challenges such as implementation complexity are acknowledged, suggesting the need for investment in training and resources to maximize the benefits of ABC. The implications of the study highlight the importance of adopting ABC for sustainable growth and performance excellence in manufacturing enterprises. Future research directions include exploring advanced technologies to enhance ABC's effectiveness, longitudinal studies to assess long-term impact, and comparative analyses across industries and regions to guide cost management strategies for future challenges.
Validation of computer-based analysis of static ultrasound images of patellar and Achilles tendon enthesis territories
Authors: Guillén-Astete Carlos A. , Andreu-Suarez África , Tortosa-Cabañas Marina , Manzo Rosa , Cenicacelaya-Olabarrieta Xavier , García-Montes Nuria , Vázquez-Díaz Mónica
Published: May 2024

Aim: The aim of the present study is to conduct interobserver and intra-observer validation of computer analysis of static ultrasound images of entheseal territories of the Achilles and distal patellar tendons.
Methods: Three rheumatologists with varying levels of experience underwent training in the use of ImageJ software for the analysis of 384 pairs of ultrasound images (long and short axis) from recorded studies of the Achilles and patellar tendons of both spondyloarthritis (SpA) patients and controls. Intra-observer and interobserver tests were conducted by calculating the differences in measurements of the same image at two different times by the same observer and by two different observers assessing the same image. The measurements included the area of analysis, the mean grayscale intensity, and the dispersion of grayscale intensity.
Results: In the intra-observer test, no measurement showed a difference greater than 15%, ranging from 4.10% to 14.14%. In the interobserver test, no measurement exhibited a difference greater than 16%, ranging from 7.96% to 15.87%. The differences detected were evenly distributed among observers in both the intra-observer and inter-observer tests. Higher differences were detected in the analysis of images obtained from patient studies compared to control studies in almost all measurements.
Conclusions: Whether analyzing control or patient ultrasound images of Achilles and patellar tendons, the intra-observer and interobserver agreement of computer-based analysis of static ultrasound images is more than acceptable and predominantly excellent.
An Integrated Mathematical Model on Thermal Phenomena in the Cutting Process
Authors: Luiza Daschievici , Daniela Ghelase
Published: May 2024

The paper presents theoretical and experimental research to unify the dynamic and thermal phenomena in a single comprehensive model of the cutting process identify parameters that characterize the state of the system and provide quick information on the rate at which to produce the wear for tool edges and how it can be influenced. Experimental and theoretical research on the temperature of the tool edge and the medium intensity of wear established similarities between the evolutions of the two phenomena that lead to the conclusion that by modeling the evolution of the thermal phenomenon can be determined the evolution of the medium intensity of wear.
Structural Investigation of Drini River Bridges, Case Study of Structures Analyses
Authors: Xhaferaj Iralda
Published: May 2024

The Drini is the longest river not only in Albania, but in the west Balkan region, with a total length of 285 km. It is well known for a lot of number and famous bridges constructed since the antiquity period and continuing nowadays. This paper is focused on the structural development of bridges that used to be called “Kukësi Bridges” located over the White and Black Drini rivers. The old bridges were built and designed in 1974 using KTP Albanian national codes, carrying the first-class road until the building of a national road. The new bridge is in the final construction stage with the reconstruction of the national road highway, designed with advanced requirements regarding Eurocode standards. This paper analyses the structural bridges' progress related to historical and technical points of view.
Relationship between Landscape Pattern and Human Disturbance in Serbia from 2000 to 2018
Authors: Quinta-Nova Luís , Gómez José Manuel Naranjo , Vulevic Ana , Castanho Rui Alexandre , Loures Luís
Published: May 2024

This study intends to verify how the alteration of the landscape configuration, represented by different metrics of configuration and diversity, is related to the intensity of human disturbance. The objectives of the study are: (1) to quantify the change in land use/land cover (LULC) patterns and the degree of human disturbance in Serbia between 2000 and 2018, and (2) to study the relationship between LULC configuration and the impact resulting from human disturbance under different levels of intensity, to understand how changing trends in landscape pattern can serve as indicators to estimate landscape changes resulting from human actions. The Hemeroby Index (HI) was calculated to quantify the impacts on ecosystems resulting from disturbance caused by human actions. Based on the analysis of the variation in the value corresponding to the HI for the period between 2000 and 2018, the level of naturalness increased by only 5% of the territory of Serbia, with this change being verified mainly in SE Serbia. The landscape pattern was quantified using a set of LULC metrics. We used the Spearman method to identify the existing statistical correlations between the geometric parameters of the landscape and the HIs values. At the landscape level, the Mean Shape Index, Edge Density, Mean Patch Fractal Dimension, and Shannon Diversity Index show a strong negative correlation with HI. This correlation suggests that landscapes with greater structural complexity are good indicators of low levels of hemeroby. At the class level, Edge Density and Mean Patch Size correlate significantly with the HI for artificial surfaces, agricultural areas, forests, and semi-natural areas.
The Sandwich Generation and Cryptocurrencies: Trust, Product Knowledge and Reference Group as Triggers of Investment Intention
Authors: Santoso Ignatius Hari , Hardiyanti Widhian , Setiawan Mulyo Budi
Published: May 2024

The rise and evolution of Cryptocurrency has been continuous since the launch of Bitcoin in 2009. However, Cryptocurrency as an investment instrument has not been able to attract the attention of young people. Moreover, the legal basis of trading involving Cryptocurrencies still has the potential to change, thus there could be concerns over the legality of Crypto assets as an investment medium. This research seeks to prove the effectiveness of several predictors such as trust, product knowledge and reference groups in shaping the intention to invest in Cryptocurrency. The result is that among the 3 constructs used in the measurement, only the Product Knowledge construct has a significant impact on the formation of intention to invest in Cryptocurrency
The Impact Of Fundamentals And Technical Analysis On Stock Returns In Banking Companies Listed For Indonesia Stock Exchange 2013-2022
Authors: Ardana Muhammad Rizki Alwi , Setiyono Wisnu Panggah , Sriyono Sriyono
Published: May 2024

This study aims to provide understanding, knowledge, and testing of the Effect of Fundamental Factors Analysis and Technical Analysis on Stock Returns of Banking Companies listed on the Indonesia Stock Exchange for 2013-2022. The sampling technique used purposive sampling using the documentation model and data collection totaling 7 banking companies listed on the Stock Exchange and 70 total samples of banking companies in the 10-year time frame. The data analysis technique used in the data processing software is Eviews 12, using a linear regression model. The results of this study from the tests that have been carried out show that fundamental components such as price to sales ratio do not affect Stock Returns, Earnings per Share has an effect on Stock Returns, Cash Flow From Operation affects Stock Returns and technical components such as Trading Volume affects Stock Returns, and Market Capitalization does not affect Stock Returns.
Stock Price Synchronicity And Institutional Ownership: The Role Of Sustainability Reporting, Political Connection, And Leverage
Authors: Feryan Muhamad Haidar , Amin Muhammad Nuryatno
Published: May 2024

This research study is aimed to evaluate how institutional ownership affects the degree of correlation among stock prices, as well as the influence of sustainability reporting, political connections, and leverage. The study takes sample data from companies that were on the LQ45 index at the end of the year, or December 31, for the years 2019–2022 using purposive sampling method. Hypothesis testing uses a multiple linear regression analysis model in the form of a moderated regression analysis (MRA) to test moderator variables. The findings indicated that leverage has negative effect on stock price synchronicity, while neither sustainability reporting nor political connections influenced stock price synchronicity. Institutional ownership as a moderating variable is able to strengthen the negative influence of leverage on stock price synchronicity, On the other hand, the presence of institutional ownership does not have an ability to impact the correlation between sustainability reporting and political relationships on stock price synchronicity
Characteristics Of Youth Unemployment: Before And During The Covid-19 Pandemic In Indonesia
Authors: Aprilia Cindy , Anas Yulia
Published: May 2024

This research aims to investigate the characteristics of young unemployment before and during the covid-19 pandemic in Indonesia, as well as to identify changes in the characteristics of young unemployment during this period. Young unemployment refers to individuals within the labor force, actively seeking employment, aged between 15 and 24 years, and not attending school. The study utilizes raw data from the Indonesian National Labor Force Survey (SAKERNAS) for the periods of August 2019 and 2020. To achieve these objectives, a binary logistic regression analysis with interaction effects is employed. The research findings indicate that young individuals within the labor force who are characterized as female, unmarried, have attained a minimum level of high school education, have not participated in any training, and possess work experience are more likely to experience unemployment before and during the covid-19 pandemic. Moreover, the occurrence of the covid-19 pandemic in 2020 has indeed had a significant impact on youth unemployment in Indonesia. The changes in the characteristics of youth unemployment during the pandemic are observed among young individuals within the labor force who are unmarried, have work experience, and reside in rural areas.
PENERAPAN MASASE PUNGGUNG TERHADAP PENGURANGAN NYERI PERSALINAN KALA 1 PADA NY C DI PUSKESMAS TANJUNG BALAI KARIMUN
Authors: Kristeti Helen , Yunita Prasida
Published: May 2024

Pain during childbirth that is very painful and long can affect the increase in blood circulation and reduce energy, which must be treated quickly and appropriately so that the mother and fetus can be saved. High labor pain can cause anxiety. The aim of the research is to provide comprehensive and sustainable midwifery care for mothers giving birth, with management of midwifery care in accordance with midwifery service standards. The midwifery care that was applied was Back Massage for Reducing Labor Pain in the 1st Stage. Research method The research was conducted at the Tanjung Balai Karimun Health Center in February 2023. The subject used in this case study with midwifery care management was Mrs. C. The data collection method was participatory observation, interviews, measurements, documentation. There are three types of research instruments, namely midwifery care format. The results and conclusions of the evaluation study of the care provided related to Back Massage on Reducing Labor Pain in Stage 1 there is a reduction in the pain that mothers feel
New data about Plebejus idas (Linnaeus, 1761) (Lepidoptera, Lycaenidae) from Russia, with the description of the new subspecies
Authors: Churkin Sergei V. , Yakovlev Roman V.
Published: May 2024

The study of new available material of Plebejus idas (Linnaeus, 1761) confirmed the main conclusions of the complex review published by S. Churkin et A. Zhdanko in 2003. Important mistakes with ssp. subsolanus Eversmann, 1851 and ssp. cleobis Bremer, 1861 are corrected, the type locality of the latter is rediscovered, the improved descriptions of both taxа are done, the status of ssp. kenteana Staudinger, 1892, is revised and confirmed. In addition, P. i. reshetnikovi ssp. nov. (Type locality: Russia, East Sayan, Oka river valley) is described. The structure of the complex is discussed.
New data about Plebejus idas (Linnaeus, 1761) (Lepidoptera, Lycaenidae) from Mongolia with the descriptions of new subspecies
Authors: Churkin Sergei V. , Yakovlev Roman V.
Published: May 2024

The article includes the descriptions of two new taxa of Plebejus idas (Linnaeus, 1761) from Mongolia: ssp. baitag ssp. nova (SW Mongolia, Baitag Mts.) and ssp. arshantyn ssp. nova (SW Mongolia, Mongolian Altai, Arshantyn Mts.). The relations with other Mongolian taxa are discussed, including the situation with P. i. saldaitisi Churkin et Zhdanko, 2003.
Beyond blood sugar: exploring the anti-inflammatory frontier of antidiabetic medications to alleviate diabetic complications
Authors:   Department of Pharmacology and Toxicology, College of Pharmacy, University of Mosul, Mosul, Nineveh province, Iraq, Hadid Khalil A. , Alassaf Fawaz A. ,   Department of Pharmacology and Toxicology, College of Pharmacy, University of Mosul, Mosul, Nineveh province, Iraq, Abed Mohammed N. ,   Department of Clinical Laboratory Sciences, College of Pharmacy, University of Mosul, Mosul, Nineveh province, Iraq
Published: May 2024

Background and objective. Inflammation is closely correlated with diabetes and diabetic complications. Research has shown that individuals with diabetes exhibit an upregulation of circulatory proinflammatory cytokines, resulting in a chronic state of low-grade inflammation. The participation of inflammation in the pathogenesis of diabetic complications, particularly cardiovascular and renal complications, is well-established. Targeting inflammation may produce prominent effects in improving the clinical condition of diabetic patients, reducing the progression of complications, and promoting glucose uptake by insulin-sensitive tissues. This review article aimed to explore the anti-inflammatory effect of antidiabetics beyond their hypoglycemic action and the potential effects of such antidiabetics in reducing diabetic complications. Materials and methods. Based on relevant online publications using the terms anti-diabetics, anti-inflammatory, diabetic complications, and inflammatory mediators up to February 2024 on PubMed and Google Scholar were utilized to construct this review. Results. The majority of antidiabetic drugs pose an indirect effect on inflammation through the hypogly­cemic effect. However, many antidiabetics have an additional anti-inflammatory mechanism independently of their hypoglycemic effects, which augments their anti-inflammatory effects. Conclusion. Suppression of the inflammatory response by anti-diabetics and achieving homeostatic control is an effective approach for preventing diabetic complications.
DAMPAK PROGRAM CENTRE OF EXCELLENCE (COE) BINA KELUARGA LANSIA (BKL) DALAM MENINGKATKAN KUALITAS HIDUP LANSIA
Authors: Tariustanti Desy , Puspita Zarah , Munawir Al
Published: May 2024

Indonesia has doubled the number of elderly people, by 9.92 percent by 2020, or about 26 million people. At this age, older people tend to decline in their physical, psychological, environmental and social functions. The decline in these functions will have an impact on the quality of life of the elderly. Elderly Family Development (BKL) is one of BKKBN's programs that aims to improve knowledge, attitudes and skills that can improve the quality of life of older people. BKL is a place where older people can lead active, productive, healthy and independent lives through the activities of the BKL Group. This study is a methodological study combined with quantitative and qualitative descriptive approaches carried out in the BKL group, at Mimbaan Village, Situbondo Regency. The study was conducted from February to March 2021. Informants included in this study included key informants, additional informants, and key informants. The main informants are the elderly of the CFSC, the providers of additional information are the village midwives or nurses, the agricultural extension agents of the CFSC and the staff of the CFBs. The main informant was the head of the National Population and Family Disasters Authority Situbondo Regency. The results show that the Elderly Family Development Program has a positive impact on the lives of the elderly and can improve the quality of life of the elderly. The results of interviews with all informants indicate that the activities carried out in the NCD program affect the physical, psychological, social and environmental aspects, thus they have an impact on quality improvement. the life of the elderly. Physical, psychological, social and environmental conditions are factors affecting the quality of life of older people. The existence of the BKL CoE program has a positive impact on the elderly and contributes to improving the quality of life of the elderly.
Accident Prevention and Alerting System
Authors: Praharsha M. , Raghavanjali M. , Nikitha Gajjala , Satyanarayana A.N.
Published: May 2024

The project addresses the increased demand for vehicle tracking systems in the embedded systems industry by providing a solution that combines accident avoidance and real-time tracking capabilities. The system takes a holistic approach to road safety by integrating components such as the Arduino microcontroller, alcohol sensor MQ2, heartbeat sensor, limit switch, relay, Liquid Crystal Display, Global Positioning Satellite, and Global system for mobile communication module. The system's ability, in particular, to detect and prevent drunk driving incidents makes a substantial contribution to road safety. The project's goal is to avoid accidents and fatalities by automatically alerting drivers when they attempt to operate a car while intoxicated. Finally, the project's emphasis on improving road safety through proactive monitoring and intervention highlights its potential to make a significant contribution to reducing traffic accidents and saving lives.
Design and Fabrication of Automatic Multipurpose Sieving Machine
Authors: V B Manjunath , M Vinay , M Varun , P Suchithra , P Tharun
Published: May 2024

The Multipurpose Sieving Machine is a versatile and efficient mechanical device designed for the classification and separation of diverse particulate materials. This innovative equipment integrates advanced sieving technologies to accommodate a wide range of applications across various industries. The key features include a robust frame supporting a customizable sieving deck, a dynamic vibration mechanism for effective particle separation, and an adjustable inclination for enhanced flexibility. The machine is designed to handle different types of materials, from granular substances to powders, offering a scalable solution for industrial processes. The user-friendly control interface ensures ease of operation and allows for real-time adjustments, optimizing the sieving performance. With its adaptability, efficiency, and user-centric design, the Multipurpose Sieving Machine stands as a reliable solution for sieving and classification requirements in industries such as agriculture, pharmaceuticals, chemicals, and construction. Construction work of buildings requires sand of different gradings. Presently the sand sieving is done manually by labours. This makes it a time- consuming process. Same mesh cannot be used for obtaining different sand grades. Sieving of grains is done manually and consumes lot of time. Our research work proposes an idea of motorized sieving machine that uses a 12-volt DC motor to vibrate the mesh. The machine shall have changeable mesh based on the sand grading requirement/grains to be sieved.
Systematic KMTNet Planetary Anomaly Search. XI. Complete Sample of 2016 Subprime Field Planets
Authors: Shin In-Gu , Yee Jennifer C. , Zang Weicheng , Han Cheongho , Yang Hongjing , Gould Andrew , Lee Chung-Uk , Udalski Andrzej , Sumi Takahiro ,   Leading authors, Albrow Michael D. , Chung Sun-Ju , Hwang Kyu-Ha , Jung Youn Kil , Ryu Yoon-Hyun , Shvartzvald Yossi , Cha Sang-Mok , Kim Dong-Jin , Kim Hyoun-Woo , Kim Seung-Lee , Lee Dong-Joo , Lee Yongseok , Park Byeong-Gon , Pogge Richard W. ,   The KMTNet Collaboration, Mróz Przemek , Szymański Michał K. , Skowron Jan , Poleski Radosław , Soszyński Igor , Pietrukowicz Paweł , Kozłowski Szymon , Rybicki Krzysztof A. , Iwanek Patryk , Ulaczyk Krzysztof , Wrona Marcin , Gromadzki Mariusz ,   The OGLE Collaboration, Abe Fumio , Bando Ken , Barry Richard , Bennett David P. , Bhattacharya Aparna , Bond Ian A. , Fujii Hirosane , Fukui Akihiko , Hamada Ryusei , Hamada Shunya , Hamasaki Naoto , Hirao Yuki , Ishitani Silva Stela , Itow Yoshitaka , Kirikawa Rintaro , Koshimoto Naoki , Matsubara Yutaka , Miyazaki Shota , Muraki Yasushi , Nagai Tutumi , Nunota Kansuke , Olmschenk Greg , Ranc Clément , Rattenbury Nicholas J. , Satoh Yuki , Suzuki Daisuke , Tomoyoshi Mio , Tristram Paul. J. , Vandorou Aikaterini , Yama Hibiki , Yamashita Kansuke ,   The MOA Collaboration
Published: May 2024

Following Shin et al. (2023b), which is a part of the “Systematic KMTNet Planetary Anomaly Search” series (i.e., a search for planets in the 2016 KMTNet prime fields), we conduct a systematic search of the 2016 KMTNet subprime fields using a semi-machine-based algorithm to identify hidden anomalous events missed by the conventional by-eye search. We find four new planets and seven planet candidates that were buried in the KMTNet archive. The new planets are OGLE-2016-BLG-1598Lb, OGLE-2016-BLG-1800Lb, MOA-2016-BLG-526Lb, and KMT-2016-BLG-2321Lb, which show typical properties of microlensing planets, i.e., giant planets orbit M-dwarf host stars beyond their snow lines. For the planet candidates, we find planet/binary or 2L1S/1L2S degeneracies, which are an obstacle to firmly claiming planet detections. By combining the results of Shin et al. (2023b) and this work, we find a total of nine hidden planets, which is about half the number of planets discovered by eye in 2016. With this work, we have met the goal of the systematic search series for 2016, which is to build a complete microlensing planet sample. We also show that our systematic searches significantly contribute to completing the planet sample, especially for planet/host mass ratios smaller than 10−3, which were incomplete in previous by-eye searches of the KMTNet archive.
Interaction between a Coronal Mass Ejection and Comet 67P/Churyumov–Gerasimenko
Authors: Huang Zhenguang , Tóth Gábor , Gombosi Tamas I. , Combi Michael R. , Jia Xianzhe , Shou Yinsi , Tenishev Valeriy , Altwegg Kathrin , Rubin Martin
Published: May 2024

The interaction between a coronal mass ejection (CME) and a comet has been observed several times by in situ observations from the Rosetta Plasma Consortium, which is designed to investigate the cometary magnetosphere of comet 67P/Churyumov–Gerasimenko (CG). Goetz et al. reported a magnetic field of up to 300 nT measured in the inner coma, which is among the largest interplanetary magnetic fields observed in the solar system. They suggested the large magnetic field observations in the inner coma come from magnetic field pileup regions, which are generated by the interaction between a CME and/or corotating interaction region and the cometary magnetosphere. However, the detailed interaction between a CME and the cometary magnetosphere of comet CG in the inner coma has not been investigated by numerical simulations yet. In this paper, we will use a numerical model to simulate the interaction between comet CG and a Halloween class CME and investigate its magnetospheric response to the CME. We find that the plasma structures change significantly during the CME event, and the maximum value of the magnetic field strength is more than 500 nT close to the nucleus. Virtual satellites at similar distances as Rosetta show that the magnetic field strength can be as large as 250 nT, which is slightly less than what Goetz et al. reported.
Predictive ecological niche model for Cinnamomum parthenoxylon (Jack) Meisn. (Lauraceae) from Last Glacial Maximum to future in Vietnam
Authors: Pham Mai-Phuong , Vu Duy Dinh , Nguyen Thanh Tuan , Nguyen Van Sinh
Published: May 2024

Cinnamomum parthenoxylon (Jack) Meisn. is a tree in genus Cinnamomum that has been facing global threats due to forest degradation and habitat fragmentation. Many recent studies aim to describe habitats and assess population and species genetic diversity for species conservation by expanding afforestation models for this species. Understanding their current and future potential distribution plays a major role in guiding conservation efforts. Using five modern machine-learning algorithms available on Google Earth Engine helped us evaluate suitable habitats for the species. The results revealed that Random Forest (RF) had the highest accuracy for model comparison, outperforming Support Vector Machine (SVM), Classification and Regression Trees (CART), Gradient Boosting Decision Tree (GBDT) and Maximum Entropy (MaxEnt). The results also showed that the extremely suitable ecological areas for the species are mostly distributed in northern Vietnam, followed by the North Central Coast and the Central Highlands. Elevation, Temperature Annual Range and Mean Diurnal Range were the three most important parameters affecting the potential distribution of C. parthenoxylon. Evaluation of the impact of climate on its distribution under different climate scenarios in the past (Last Glacial Maximum and Mid-Holocene), in the present (Worldclim) and in the future (using four climate change scenarios: ACCESS, MIROC6, EC-Earth3-Veg and MRI-ESM2-0) revealed that of C. parthenoxylon would likely expand to the northeast, while a large area of central Vietnam will gradually lose its adaptive capacity by 2100.
Outer Retinal Tubulation in Geographic Atrophy
Authors: Hatcher Kensington A. , Shah Birva K. , Burch Mark , Kondapalli Srinivas Sai A. , Baumal Caroline R.
Published: May 2024

Background and Objective:

Outer retinal tubulation (ORT) is observed on optical coherence tomography images from patients with geographic atrophy (GA), but its clinical implications are unclear. The objective of this study was to investigate the prevalence of ORT and its association with GA lesion growth rates.

Materials and Methods:

This post hoc longitudinal analysis assessed 62 eyes randomized to sham treatment in the phase 2 FILLY trial. ORT prevalence was estimated at baseline, month 12, and month 18 and change in GA lesion growth from baseline to month 18 was calculated.

Results:

ORT prevalence rates were 24%, 43%, and 43% at baseline, month 12, and month 18, respectively. Slower mean GA lesion growth was observed in eyes with ORT present at baseline in the overall population as well as the subfoveal and nonsubfoveal GA subgroups.

Conclusion:

ORT presence may indicate a slower-growing GA lesion phenotype, independent of foveal involvement.

[
Ophthalmic Surg Lasers Imaging Retina
2024;55:448–451.]
Catalytic upgrading of palm oil derived bio-crude oil for bio-hydrocarbon enrichment using protonated zeolite-Y as catalyst
Authors: Simanjuntak Wasinton , Pandiangan Kamisah Delilawati , Febriyanti Tika Dwi , Islami Aryani Putri , Hadi Sutopo , Ilim Ilim
Published: May 2024

This research was conducted to study upgrading bio-crude oil (BCO) produced by pyrolysis of palm oil without the use of a catalyst, using protonated zeolite-Y designated as H-Y. Preparation of H-Y was carried out by subjecting zeolite-Y synthesized from rice husk silica (RHS) and food grade aluminium foil (FGAF) to a cation exchange process using ammonium nitrate solution with different concentrations of 2.0, 2.5, 3.0, and 3.5 M to obtain (H-Y) samples with different protonation extents. To confirm the formation of Na-Y, the sample was characterized using XRD and SEM, and to evaluate the protonation, the Na-Y and H-Y samples were analyzed using XRF. Characterization using XRD showed that the Na-Y sample is faujasite, which is the characteristic phase of zeolite-Y, and supported by the existence of particles with octahedral structure as seen by SEM. Successful protonation resulted in a reduction of Na content up to 89.948% from that of the Na-Y, which was demonstrated by the XRF results. Catalytic upgrading experiments demonstrated that H-Y zeolites functioned to increase the bio-hydrocarbon content from 80.23% in the BCO to practically 100% in the upgraded oil. In addition, no acids were identified in the upgraded fuels, implying that H-Y zeolite is a promising catalyst for BCO upgrading for bio-hydrocarbon enrichment of the oil.
Finite-time stability and applications of positive switched linear delayed impulsive systems
Authors: He Yanchao , Bai Yuzhen
Published: May 2024

In this paper, we study the finite-time stability and applications of positive switched linear delayed systems under synchronous impulse control, which includes two types of random switching and average dwell time switching. By constructing a type of linear time-varying co-positive Lyapunov functional, we first propose several new finite-time stability criteria. It should be emphasized that the linear term coefficient of the linear vector of the Lyapunov functional is adjusted to the difference between the weighting vector and the given vector. Then, we apply the obtained stability criteria to the linear time-varying delayed systems with impulsive effects. At last, three examples are given to demonstrate the validity of the obtained results, which includes the specific linear programming algorithm process.
Finite-in-time flocking of the thermodynamic Cucker–Smale model
Authors: Ahn Hyunjin , Noh Se Eun
Published: May 2024

We illustrate finite-in-time flocking in the thermodynamic Cucker–Smale (TCS) model. First, we extend the original TCS model to allow for a continuous vector field with a locally Lipschitz continuity. Then, within this system, we derive appropriate dissipative inequalities concerning the position-velocity-temperature using several preparatory estimates. Subsequently, based on initial data and system parameters, we formulate sufficient conditions to guarantee the desired finite-time flocking in each case where the communication weight conditions are divided into two scenarios: one with a positive lower bound and another with nonnegativity and monotonicity. Finally, we provide several numerical simulations and compare them with the analytical results.
Achieving Balance Between Innovation and Security in the Cloud With Artificial Intelligence of Things
Authors: Sundar R. , Srikaanth P. Balaji , Naik Darshana A. , Murugan V. P. , Karumudi Madhavi , Boopathi Sampath
Published: May 2024

This chapter explores the integration of Semantic Web control models, innovation, and security in cloud computing, especially in the context of AIoT integration. The Semantic Web provides machine-understandable data and offers sophisticated control models that enhance innovation and security in cloud environments. Technologies like RDF, OWL, and SPARQL enable semantic interoperability, while control models focus on access control mechanisms and authentication strategies. The chapter introduces the concept of AIoT, integrating AI with IoT devices and discusses the potential of Semantic Web control models in managing security risks and fostering innovation.
Study on Integrated Neural Networks and Fuzzy Logic Control for Autonomous Electric Vehicles
Authors: Devi J. Vimala , Argiddi Rajesh Vyankatesh , Renuka P. , Janagi K. , Hari B. S. , Boopathi S.
Published: May 2024

This chapter presents a comprehensive study on the integration of neural networks and fuzzy logic control techniques for enhancing the autonomy of electric vehicles (EVs). The integration of these two paradigms aims to overcome the limitations of traditional control approaches by leveraging the complementary strengths of neural networks in learning complex patterns and fuzzy logic in handling uncertainty and imprecision. The chapter discusses the design, implementation, and evaluation of an autonomous EV control system that utilizes neural networks for learning vehicle dynamics and fuzzy logic for decision-making in various driving scenarios. Through extensive simulations and experiments, the effectiveness and robustness of the proposed integrated approach are demonstrated, showcasing its potential for improving the safety, efficiency, and adaptability of autonomous EVs in real-world environments.
Introduction to Geospatial Data and Python Programming
Authors: Shanmugapriyaa D. , Sujithra M. , Senthilkumar B. , Sachin Kumar V. , Sanjai Ram
Published: May 2024

Utilising geographical linkages, predictive modelling, and problem-solving techniques, geospatial analysis is an essential discipline in many businesses. This chapter explores the deep meaning of geographical data and how machine learning can benefit from it. Geospatial data, derived from sources such as GPS devices and satellite pictures, serves as the basis for comprehending infrastructure, topography, weather, and population dynamics. Crowdsourced information and open data projects enhance the data set available for research. By addressing issues like dimensionality reduction and missing data, spatial data preparation ensures the quality and diversity of data sources. Geospatial analysis is improved for a variety of applications using machine learning algorithms, which include supervised, unsupervised, and reinforcement learning techniques. Temporal dynamics, as examined by methods such as ARIMA and LSTM networks, track variations within regions. Ethical considerations, efficient data visualization, and data fusion techniques all contribute to thorough.
Deep Learning Safeguard
Authors: Venkatesan B. , Mannanuddin Khaja , Chidambaranathan Senthilnathan , Jeyakumar Balajee , Rayapati Bhargav Ram , Baskar K.
Published: May 2024

The proposed system not only capitalizes on DCGANs' ability to generate realistic synthetic data but also employs their hierarchical feature learning to enhance the detection of subtle security anomalies. Through extensive experimentation and implementation, this research showcases the efficacy of the proposed system in addressing the complexities and uncertainties prevalent in open environments. The model excels in augmenting security systems by generating diverse and realistic data, thereby improving the robustness of threat detection mechanisms. GuardianDCGAN's application extends beyond traditional security paradigms, offering a dynamic and adaptable safeguarding mechanism capable of adapting to emerging threats. The integration of DCGANs in the proposed system signifies a significant step forward in security technology, promising to revolutionize safeguarding practices in open environments by providing a proactive and intelligent defense mechanism grounded.
An Improved Face Mask Detection Simulation Algorithm Based on YOLOv5 Model
Authors: Qi Yue , Wang Yiqin , Dong Yunyun
Published: May 2024

This paper proposes an advanced approach for detecting faces with mask occlusion based on YOLOv5 to address various challenges encountered in face detection, including illumination blur and occlusion. The proposed methodology involves the integration of a convolutional block attention module into the backbone network and different network levels in the neck of the YOLOv5s. This approach enables the suppression of irrelevant features and emphasizes the identification of masked facial features. Replacing the conventional loss function with the Focal Loss function addresses the problem of sample imbalance. The enhanced YOLOv5s network was applied to detect mask-occluded faces. Empirical evaluations were conducted on the WIDER Face and AIZOO datasets. The simulation comparison results demonstrate that the proposed method achieves superior real-time detection performance, fulfilling the objective of developing a lightweight detection model.
Enhancing Music Generation With a Semantic-Based Sequence-to-Music Transformer Framework
Authors: Xu Yang
Published: May 2024

Music generation became a platform for creative expression, promoting artistic innovation, personalized experiences, and cultural integration, with implications for education and creative industry development. But generating music that resonates emotionally is a challenge. Therefore, we introduce a new framework called the Sequence-to-Music Transformer Framework for Music Generation. This framework employs a simple encoder-decoder Transformer to model music by transforming its fundamental notes into a sequence of discrete tokens. The model learns to generate this sequence token by token. The encoder extracts melodic features of the music, while the decoder uses these extracted features to generate the music sequence. Generation is performed in an auto-regressive manner, meaning the model generates tokens based on previously observed tokens. Music melodic features are integrated into the decoder through cross-attention layers, and the generation process concludes when “end” is generated. The experimental results achieve state-of-the-art performance on a wide range of datasets.
Prognostic evaluation of KRAS and BRAF mutations in relation to Mismatch Repair protein status: preliminary survival analysis of patients with Colorectal Cancer
Authors: Bertolina Carlotta , Bertolotti Marinella , Cassinari Antonella , Mazzucco Riccardo , Pelazza Carolina , Betti Marta , Maconi Antonio
Published: May 2024

Aims: prognostic impact of mutations in BRAF and KRAS genes in patients with colorectal cancer was evaluated to detect variations in survival among patients with these mutations, in relation to different morphologic features identified at diagnosis and the expression of mismatch repair proteins. The final purpose of the project will be to establish models to predict variations in survival in different subsets of patients with colorectal cancer. Materials and Methods: partial survival analyses were conducted on 32 subjects in relation to three different variables: mutation in BRAF or KRAS genes, expression of mismatch repair system and morphological features of the tumor. Results: preliminary results of this study provide evidence that survival in different subsets of patients with colorectal cancer can be influenced by several factors, which include, in addition to immunohistochemical and molecular investigations, the assessment of different morphological features. Conclusions: Integrating different characteristics may reveal which factors have a more significant impact on survival in these subgroups. More patients will be needed to design different survival models and to check these preliminary results more effectively.
Pisa syndrome due to shunt malfunction in normal pressure hydrocephalus with comorbid Parkinson’s disease
Authors: Onder Halil
Published: May 2024

Pisa syndrome (PS) is characterized by tonic flexion of the trunk and head to one side of the body and generally occurs in patients with Parkinson’s disease (PD) taking antipsychotic drugs. Recently, only a few cases of PS caused by normal pressure hydrocephalus (NPH) have been reported. Here, we report a case of PS associated with NPH. We believe that the presentation of this rare case may provide an interesting perspective regarding the pathophysiology of PS. Future studies involving a large number of patients are warranted to clarify the mechanisms underlying PS in distinct neurological diseases such as PD, NPH, and multiple system atrophy.
Huffing and puffing sign in functional axial jerks with secondary gait impairment
Authors: Patel Khushboo Subhash , Vijayaraghavan Asish , Krishnan Syam , Puthenveedu Divya Kalikavil
Published: May 2024

Propriospinal myoclonus (PSM) is characterized by predominant axial jerk-like movements. To date, most of the PSM cases reported in the literature are considered to be functional (psychogenic) in origin. The “huffing and puffing sign” is a clinical clue with high diagnostic specificity for a functional etiology in gait disorders. However, this sign has not yet been described in patients with PSM. Here, we report a case of PSM of functional etiology, with coexisting gait disorder and the “huffing and puffing sign.” Our case adds to the list of clinical diagnostic clues that suggest a functional etiology of PSM.
Botulinum neurotoxin for writer’s cramp
Authors: Garg Divyani , Bhowmick Suvorit S. , Ganguly Jacky , Mittal Shivam O. , Borgohain Rupam , Kukkle Prashanth L.
Published: May 2024

Writer’s cramp (WC) is a focal task-specific dystonia that affects the fingers, hands, and forearms. It interferes with an individual’s ability to write, causing professional disability. In this systematic review, we discuss the epidemiology, pathophysiology, clinical features, and management of WC. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we included publications until February 5, 2022, from the PubMed database. In addition, we elaborate on the clinical assessment and selection of appropriate muscles for botulinum neurotoxin therapy through pictorial illustrations. The prevalence of WC is underestimated because medical attention is only sought by those with professional disability. The clinical presentation of WC is heterogeneous. In some patients, dystonia is manifested only during writing tasks (simple WC), while in others, several manual tasks are affected in addition to writing (complex WC). Some patients have semirhythmic movements of the hand with no apparent postural abnormality during writing (writing tremor). The assessment of the pattern of dystonia is confounded by the compensatory movements a patient adopts while writing. There are several pharmacological, nonpharmacological, and surgical options for the management of WC. However, there are no randomized controlled trials supporting the efficacy of oral medications. The efficacy of physiotherapy, occupational therapy, and noninvasive brain stimulation is debatable. Neurosurgical procedures, although reportedly effective, are seldom justified in focal task-specific dystonia. Botulinum neurotoxin is considered an effective treatment option based on several prospective studies and few randomized controlled trials. However, WC may be the most challenging indication for this therapy because writing is a complex manual task. Furthermore, given the heterogeneity, clinicians often face difficulties in discerning the exact abnormality and selecting the appropriate muscles for treatment.