bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Serum Lipid Levels in Patients Using Carbamazepine
Authors: GÜRCÜ Sinem , UNCU Ali , UNCU Gülgün
Published: September 2023

Epilepsy is a neurological disease that requires long-term drug therapy. Carbamazepine (CBZ) is a drug that is effective in partial seizures, including complex partial seizures, and tonic-clonic seizures. It was aimed to evaluate the effect on serum lipid profile in patients who used CBZ. Medical biochemistry laboratory data between January and December 2021 were analyzed retrospectively. Patients (n=59) who used monotherapy and at least 2 years of CBZ were included in the study. Patients under 18 years of age were not included. In the control group, 34 healthy people with normal blood parameters, who applied to outpatient clinics for different reasons at the same age, and did not have a disease that would affect the lipid profile, were selected. The mean age of the patients was 36 ±8 years. LDL-cholesterol levels were found to be higher in patients treated with carbamazepine compared to the control group (p<0.05). There was no significant difference in serum triglyceride (TG), and HDL-cholesterol levels in the patient and control groups (p>0.05). There was no gender difference in the effect of carbamazepine on LDL-cholesterol (p>0.05). High serum LDL-cholesterol levels cause atherosclerosis and coronary artery disease. The lipid profile of carbamazepine, which is used regularly at the therapeutic level, changes. Due to the association of high LDL-cholesterol levels with atherosclerosis, it is important to monitor lipid levels in patients using CBZ, especially considering the long duration of use of this pharmacotherapy.
Commentary: Of women, liver, and heart
Authors: Wang Jun , Lonardo Amedeo
Published: September 2023

This commentary is devoted to a recent study by Ren and Zheng (Nutr Metab Cardiovasc Dis. 2023;33:1349-1357). These authors analyzed sex-stratified long-term outcomes relevant to all-cause and cardiovascular field outcomes among 2,627 nonalcoholic fatty liver disease (NAFLD) adults enrolled in the 2000-2014 National Health and Nutrition Examination Surveys and identified with United States Fatty Liver Index (US FLI) score. Data have shown that, compared to women, men were exposed to a significantly higher all-cause mortality and the maximal risk was seen among those who had obesity and type 2 diabetes. However, women aged ≤ 60 years had a higher risk of death owing to cardiovascular disease (CVD). Conversely, no significantly increased risk of death from CVD was observed among women over 60 years compared to men of the same age group. The study by Ren and Zheng further fosters our understanding of cardiometabolic risk factors, illustrating sex differences present in NAFLD. The distinct impact of NAFLD on CVD by sex and age suggests that cardiometabolic comorbidities may be particularly underestimated among young and middle-aged women with NAFLD. The research by Ren and Zhang may stimulate future investigations exploring the molecular and cellular grounds underlying these findings, notably including the role of fibrosing NAFLD as a strong risk modifier of CVD. In conclusion, an improved understanding of sex-specific regulation of human metabolism in the liver and other key metabolic organs is a research priority finalized for implementing precision medicine approaches in NAFLD arena.
D-serine Is a Gliotransmitter or Neurotransmitter
Authors: ER-RACHDAOUI ELHACHMI
Published: September 2023

D-Serine, a co-agonist of NMDA receptors has sparked a contentious debate within the scientific community regarding its status as a gliotransmitter or a neurotransmitter. This comprehensive review delves into the heart of this debate, offering a meticulous analysis of the existing evidence from various research methodologies. Immunostaining studies and cell-selective mutations provide compelling support for D-serine's neuronal origin, bolstering the serine shuttle model. In contrast, the gliotransmission hypothesis, proposing astrocytic synthesis and release, faces critical scrutiny as inconsistencies in supporting data emerge. In vivo microdialysis experiments unveil a neuronal contribution to D-serine release and its profound impact on synaptic plasticity, further strengthening the case for neuronal dominance. Counterarguments in favor of astrocytic D-serine release are systematically dissected, revealing inherent limitations and ambiguities. Collectively, the evidence corroborates D-serine's neuronal source and discounts the astrocytic hypothesis. This review underscores the need for scientific rigor when evaluating contentious topics and affirms the simplicity of the neuronal explanation, aligning D-serine with the serine shuttle model, thus advancing our comprehension of its pivotal role in synaptic function and cognitive processes. As the debate continues to evolve, this exploration encourages ongoing research to unravel the intricate mechanisms governing D-serine neurotransmission.
Physiotherapy-Led Health Promotion Strategies for People with or at Risk of Cardiovascular Diseases: A Scoping Review
Authors: Ngeh Etienne Ngeh , Lowe Anna , Garcia Carol , McLean Sionnadh
Published: September 2023

Cardiovascular diseases (CVD) are prevalent and lead to high morbidity and mortality globally. Physiotherapists regularly interact with patients with or at risk of CVDs (pwCVDs). This study aimed to assess the nature of existing evidence, interventional approaches used, and the population groups included in physiotherapy-led health promotion (PLHP) for pwCVDs. The scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Medline, PubMed, Web of Science, Cochrane Central Register of Controlled Trials, CINAHL, and PEDro databases were searched from inception until June 2023. Two reviewers independently screened the titles, abstracts, full text and conducted data extraction. All conflicts were resolved with a third reviewer. A total of 4992 records were identified, of which 20 full-text articles were included in the review. The studies had varied populations, including those with stroke, coronary artery diseases, peripheral artery diseases, hypertension, diabetes, and multiple CVD risk factors. The interventions ranged from exercise and physical activity programs, dietary interventions, education, and counselling sessions with various supplementary approaches. Most interventions were short-term, with less than 12 months of follow-up. Interventions were personalised and patientcentred to promote adherence and health behaviour change. Among the included studies, 60% employed experimental designs, with the remainder using quasi-experimental designs. Although a wide range of PLHP strategies have been used for pwCVDs, exercise and physical activity were employed in 85% of included studies. Other components of health promotion, such as sleep, smoking, and alcohol abuse, should be investigated within PLHP.
An Effective Ensemble Convolutional Learning Model with Fine-tuning for Medicinal Plant Leaf Identification
Authors: Hajam Mohd Asif , Arif Tasleem , Khanday Akib Mohi Ud Din , Neshat Mehdi
Published: September 2023

Accurate and efficient medicinal plant image classification is of utmost importance as these plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a long history of medicinal plant usage, different parts of plants, such as flowers, leaves, and roots, have been recognized for their medicinal properties and are used for plant identification. However, leaf images are extensively used due to their convenient accessibility and are a major source of information. In recent years, transfer learning and fine-tuning, which use pre-trained deep convolutional networks to extract pertinent features, has emerged as an extremely effective approach for image identification problems. This study is leveraging the power of three component deep convolutional neural networks, namely VGG16, VGG19 and DenseNet201, to derive features from the input images of the medicinal plant dataset, containing leaf images of 30 classes. The models were compared and ensembled to make four hybrid models to enhance the predictive performance by utilizing the averaging and weighted averaging strategies. Quantitative experiments were carried out to evaluate the models on the Mendeley medicinal leaf dataset. The resultant ensemble of VGG19+DensNet201 with fine-tuning showcases enhanced capability in identifying medicinal plant images with an improvement of 7.43% and 5.8% compared with VGG19 and VGG16. Furthermore, VGG19+DensNet201 can outperform its standalone counterparts by achieving an accuracy of 99.12% on the test set. A thorough assessment with metrics such as accuracy, recall, precision, and f1-score firmly establishes the effectiveness of the ensemble strategy.
Multispectral SNSPD Using Modified Distributed Bragg Reflector, Gold Mirror, and Multilayer-Nanowire Structures
Authors: Wu Ping-Han , Wu Hsin-Yeh , Paganis Stathes
Published: September 2023

A multispectral superconducting nanowire single photon detector sensitive to different incident photon wavelength bands, is proposed. The SNSPD consists of a Distributed Bragg Reflector, a gold mirror, and two regions employing four NbN nanowires. Using the DBR both as a filter and a reflector, two distinct detection bands are created. The first detection band has a peak absorbance of > 0.75 at a wavelength of 1143 nm, while the second band has an absorbance of > 0.70 in the wavelength range 1440 to 2000 nm. The design of the device can be tuned to provide sensitivity in different wavelength bands. While SNSPDs do not typically provide photon wavelength sensitivity, the band-selection design proposed in this work opens up potential applications for future quantum communication technology.
Evaluation of the Productivity of Strawberries of English Breeding in the Lowland Part of the Guba District
Authors: Hafizov Gharib , Eldarov Reshad
Published: September 2023

Strawberries (garden strawberries) belong to the most valuable berry crops and are an excellent dietary low-calorie product. This favorite berry is grown everywhere in Azerbaijan. The main objective of this study was a comparative study of 4 imported English strawberry cultivars Cupid, Fenella, Christine and Flamenco by productivity and its components, and on this basis, the selection of the most productive and adaptive. The study was conducted in a pilot production area (0.62 ha) of the Research Institute of Fruit and Tea Growing of the Ministry of Agriculture of the Azerbaijan Republic, which is located in the lowland part of the Guba district at an altitude of 400 m above sea level. Strawberry seedlings were planted on this site in the fall of 2020. The site was divided into paired rows repeated every 80 cm, and in each such pair the distance between the rows was 30 cm. The distance between the plants in each row was 15 cm. Mulching and drip irrigation were used as the main elements of the technology. When evaluating varieties by productivity in June 2022, when it reached its maximum level, the Fenella cultivar stood out. The productivity of this cultivar was 0.81 kg per bush or 40.2 tons per hectare. The same cultivar was distinguished by its large fruit (length 4.07 ± 0.42 cm, width 3.61 ± 0.55 cm, weight 20.96 ± 6.21 g), which indicates the prospect of its cultivation in the region.
From Divide to Debate: A Methodological Approach to Dismantling Polarization in Social Networks
Authors: Mustafa Zaka Ul , Amir Muhammad , Mustafa Manal , Anwar Muhammad Adnan
Published: September 2023

Social media platforms are not serving only as tools of communication rather they are acting like intricate systems managing our interactions. A major setback to our interactions occur when the flow of information in these networks gets distorted through polarization. It resembles a society where every debate turns into divide. Our research focuses exclusively on quantifying polarization as well as solving this issue head-on. In order to accurately gauge polarization, we’ve developed a new method that takes into consideration majority of its influencing factors. This helps us in correctly quantifying the polarization value of a given network and then by proposing it as an optimization problem we are attempting to maximally decrease polarization while staying within the set budget. We test our method on synthetic and real-world data sets, and find out that polarization is declining, and diversity is increasing. This proves that our recommendation engine has a penchant for finding the ideal connections between the nodes to start a dialogue. Our research presents a successful tactic to quantifying and reducing polarization in social media networks. The results indicate that our novel metric and intervention technique are effective in dismantling echo chambers, thereby promoting diversity in these networks.
Comparison of Transfer Learning Algorithm Performance in Hand Sign Language Digits Image Classification
Authors: Siddik A. Muh. Amil
Published: September 2023

Image hand sign classification has become an interesting topic in image processing and machine learning. However, to achieve optimal performance in hand sign image classification tasks, a large and diverse dataset as well as powerful learning algorithms are required. One popular technique for improving the performance of classification models is transfer learning, which allows the use of knowledge learned from previous models and applies it to new tasks. In this study, the performance of two different transfer learning algorithms, ResNet-50 and VGG-16, was compared on the Sign Language Digits Dataset, which consists of 10 different types of handwriting images. The results of the experiment showed that both tested transfer learning algorithms had good performance. However, VGG-16 provided the best results with an accuracy of 97,29%, precision of 97,38%, recall of 97,45%, and an F1 score of 97,36%, while ResNet-50 achieved an accuracy of 94,57%, precision of 94,75%, recall of 94,96%, and an F1 score of 94,78%. In conclusion, transfer learning algorithms are effective techniques for improving the performance of hand sign image classification models. Choosing the appropriate transfer learning algorithm and dataset can help generate more accurate classification models.
Stability Analysis for the Spread of Mumps Based on SIQR Model
Authors: Widayat Ratna , Nadzifah Nadzifah , Fiqiyah Vika Fatihatul , Rizkiyani Nita
Published: September 2023

Mumps is an infectious disease caused by a virus that is quite dangerous because vaccine strategies often fail. In severe cases, mumps can lead to infection of the covering of the brain (15%), pancreatitis (4%), permanent deafness, and painful swelling of the testes which rarely causes infertility. In addition, genetic mutations that are continuously carried out by the virus and the movement of individuals from one area to another can result in the spread of causing an epidemic in an area. This study discusses the spread of mumps by assuming there is a population of individuals who are quarantined. In addition, it is possible to die from mumps in the presence of complications from other diseases. The purpose of this research is to look at the behavior of the system solution analytically depending on the basic reproduction number ( ) accompanied by numerical simulations on initial values with certain parameters. The SIQR model is used by assumes that individuals who have recovered will get permanent immunity against Mumps. The analysis was carried out around the disease-free equilibrium point and the endemic equilibrium point. It was found that the disease-free equilibrium point is locally asymptotically stable with conditions . This means that if the birth rate is less than the natural death rate and the contact rate between individuals infected with mumps and susceptible individuals is less than the sum of the recovery rate, death rate and quarantine rate, then the mumps outbreak will eventually disappear from the population. On the other hand, the local asymptotically stable endemic equilibrium point if . This means that if the mumps disease is about to become epidemic and infected individuals are still in the population. This can be interpreted as if the birth rate is greater than the natural death rate and the contact rate between individuals infected with mumps and susceptible individuals is greater than the sum of the recovery rate, death rate and quarantine rate then the mumps outbreak will still exist in the population. However, if the value of the quarantine rate is increased, the value will decrease and the quarantined individual population approaches the infected individual population. This means that the proposed quarantine scenario with the addition of class Q makes the system solution better. Furthermore, a simulation was carried out with the Maple 18 program.
Effectiveness of Single and Double Exponential Smoothing: SES, ARRSES and Holt’s Linear for Time Series Data Prediction with Trend and Non-seasonal Characteristic (Covid-19 Vaccinate Case)
Authors: Wiyanti Wiwik
Published: September 2023

Purpose of this research is effectiveness the exponential smoothing for predict the time series data which has trend and non-seasonal characteristic. In this research using data case vaccinate of covid-19 1st, 2nd, 3rd and 4th. The advantage of this research is we can choose the best method for this type data. The methodology of this research is quantitative, with analyze data method is exponential smoothing (SES, ARRSES, and HOLT’S linear). The result of data analyze is the predict error for four vaccinate data are very close to zero. SES gets 0% to 0,73%, ARRSES gets 0% to 0,66% and Holt’s linear gets 0% to 0,29%. The result of this research can conclude that exponential smoothing method effective for predict the data with trend and non-seasonal data.
Analysis Of Fire Risk For Forest And Land In West Kalimantan Using Logistic Regression Method With Generalized Extreme Value Approach
Authors: Nugroho Radit Candra , Oktaviana Pratnya Paramitha
Published: September 2023

Forests in Indonesia have been reduced by half due to fires. Forest and land fires often occur during the long dry season in places such as the island of Borneo. West Kalimantan is an area passed by the equator which is directly above the Pontianak area. The main effect is to make West Kalimantan a tropical area with high air temperatures so that forest and land fires often occur. This study aims to obtain the results of the probability of land and forest fires in each district in West Kalimantan. The method used is binary logistic regression analysis with response variables in the form of data categories based on spatial data and analysis of extreme values with Generalized Extreme Value (GEV). Spatial analysis uses the help of ARCGIS software in processing raster data (grid cells). The data used is data on maximum temperature and maximum wind speed taken from October 7, 2021 to October 31, 2022 from the official NASA website. The spatial data used in this study is forest and land fire vulnerability data taken from the BNPB website in the form of raster data. The results of logistic regression analysis found that the maximum temperature variable has a negative relationship with the response variable, while the maximum speed of wind variable has a positive relationship with the response variable. The temporal probability of the resulting GEV is getting higher with a longer period of years ahead. The probability of forest and land fires is obtained by multiplying the log probability by the GEV temporal probability. In this study, it was found that the highest chance of forest and land fires occurring in Sanggau Regency was suspected to occur due to an increase in temperature every year.
The Comparison of Estimated Reserve Claims with the Classical Chain Ladder and Bornhuetter-Double Chain Ladder Method
Authors: Krisdiantha Krisdiantha , Khalifatullah M. Jibril , Dumamika Tione Daffaxa , Noviyanti Lienda
Published: September 2023

In the world of insurance, insurance companies need to back up claims to ensure that the company can cover expenses resulting from filing claims from policyholders. Claim reserves represent the estimated value of claim payments in the future, where there are differences in the estimated and actual value of claim payments. Errors in predicting claim reserves will result in inaccuracies and disrupt the insurance company's financial stability. There are several ways to estimate claim reserves, one of the most common methods is using a Chain Ladder. However, the Chain Ladder method is very susceptible to outliers, so another method is needed to estimate claims reserves that are more accurate. This study discusses the comparison between the Chain Ladder method and one of the development methods, namely Bornhuetter-Double Chain Ladder in estimating claim reserves. The Bornhuetter-Double Chain Ladder method uses data on claims that have occurred as a whole, the amount of claims that have been paid, and the number of claims that have occurred. Based on the research results, it can be concluded that the Bornhuetter-Double Chain Ladder method is capable of producing more stable and accurate claim reserves compared to the Chain Ladder method.
Modeling the Percentage of Poor Population in Java Island using Geographically Weighted Regression Approach
Authors: Ikhsanudin Muhammad Rafi , Pasaribu Ernawati
Published: September 2023

Poverty is a multidimensional problem faced by all countries in the world. Poverty is the inability of individual or group to meet their basic needs in terms of expenditure. In poverty problem, there is a tendency that the poor will group in locations with certain characteristics. This spatial clustering indicates spatial diversity that making global regression analysis inappropriate for application. Therefore, the purpose of this research is to model the percentage of poor population in 119 districts on Java Island in 2021 using the Geographically Weighted Regression (GWR) method. The analysis results state that the GWR model with Kernel Fixed Bisquare provides superior results compared to the global regression model and able to overcome spatial heterogeneity problem. The model is able to provide a fairly high coefficient of determination, which is 70,73 percent. The GWR model identifies ten groups of districts based on the significance of the independent variables, with the majority of them (61 districts) having a significant RLS variable. This indicates that education is an important aspect that needs to be considered by local governments to alleviate poverty.
Study of Regularized Generalized Structured Component Analysis to Overcome Multicollinearity in Component-Based SEM
Authors: Amanah Fitri , Rahmawati Fitri
Published: September 2023

Multicollinearity is one of the issues that may arise in the analysis of Structural Equation Modeling (SEM). An indication of multicollinearity is the high correlation between latent variables and the correlation between indicators forming the latent construct. Multicollinearity causes the interpretation of SEM analysis to be inappropriate. In this study, Regularized generalized structured component analysis (RGSCA) is used as a solution to overcome multicollinearity in component-based SEM. The research aims to apply RGSCA to East Java poverty data, which contains multicollinearity. The first step is analyze data using GSCA, however the weights of  and  indicators are not significant, and the three estimated path coefficients are also not significant at the 95% confidence interval. The high correlation value between the  indicators further indicates the presence of multicollinearity. Futhermore, the data are analyzed using RGSCA with ridge parameters namely   which provides minimum prediction error (CV). The results of the analysis reveal that all estimation of loading factors, weights and path coefficients are significant at 95% confidence intervals. The interpretation of the path coefficient results suggests that education, health, and economy significantly influence poverty, while health and economy also have a significant effect on education, and health additionally exhibits a significant effect on economy. The overall model evaluation results obtained a FIT value of 0.662, indicating that the model can explain about 66.2% of the data variation.
Nilai Moral Tari Kembang Lambang Sari bagi Masyarakat Betawi menurut Perspektif Hans Georg Gadamer
Authors: Riandari Wiwit , Nursilah  , Tuteng Suwandi
Published: September 2023

Tari yang dipandang sebagai sebuah teks, apapun jenis dan bentuknya,  tentunya akan mengandung suatu nilai. Nilai moral menjadi salah satu yang penting untuk diketahui. Nilai moral akan menjadi pedoman untuk melakukan menentukan baik dan salah dalam masyarakatnya. Menggali nilai moral dalam Tari Kembang Lambang Sari dapat dilakukan dengan berbagai cara.. Salah satu caranya adalah dengan membedah strukturnya melalui analisis wacana. Analisis wacana dilakukan dari komponen struktur yang paling kecil yaitu motif, frasa, kalimat dan gugus. Keterkaitan antara komponen akan menghasilkan penafsiran terhadap gerak tari. Analisis struktur Tari Kembang Lambang Sari ini kemudian dipadukan dengan analisis karakter tari dari konsep yang dikemukakan La Meri mengenai desain atas (air design) menggambarkan kesan dari gerakan. Hasil analisis struktur tari ini pada akhirnya akan dikaji melalui perspektif hermeneutika Hans georg Gadamer yaitu Fusion of Horizon untuk memperoleh nilai moral yang terkandung dalam tarian tersebut. Kajian ini bertujuan untuk membedah struktur Tari Kembang Lambang Sari agar nilai moral yang terkandung dalam Tari Kembang Lambang Sari dapat ditafsirkan dengan jelas sesuai dengan nilai yang ingin disampaikan oleh koreografer.
Penggambaran Legenda Sangkuriang Melalui Karya Tari “Sumbi Raksa” Menggunakan Metode Moving From Within Alma M.Hawkins
Authors: Arulia Gibran Bunga , Ida Bagus Ketut  Sudiasa  , Deden Haerudin
Published: September 2023

Karya tari Sumbi Raksa diambil dari salah satu adegan kisah Legenda Sangkuriang yang menceritakan perang batin seorang Dayang Sumbi yaitu perasaan cinta, rindu bercampur dengan marah, kesal, bingung, kecewa akan kenyataan sangkuriang adalah anaknya serta rasa bahagia dapat dipertemukan kembali dengan anaknya.Sumbi diambil dari nama seorang Tokoh Dayang Sumbi dan Raksa artinya menjaga serta diambil dari kata rasa yang berartikan perasaan. Pada karya tari ini menceritakan tentang Dayang Sumbi yang berusaha menjaga hati akan perasaan cinta dan kasih sayangnya terhadap Sangkuriang.Tujuan Penciptaan Tari ini menyampaikan nilai moral dan nilai etika terhadap masyarakat, betapa pentingnya kita mengontrol emosi dan perasaan dalam menyikapi suatu kenyataan, walaupun terkadang tak seperti yang kita harapkan dan tidak diperbolehkannya pernikahan sedarah karena jika suatu gen bersatu hal buruk akan terjadi pada kehidupannya.Metode penciptaan tari menggunakan Moving From Within dari Alma M Hawkins. Yang berjudul “Moving From Within: A Method For Dancer Making” yang diterjemahkan Oleh I Wayan Dibia menjadi “bergerak menurut kata hati” Adapun Teknik penciptaan tari yang digunakan antara lain : mengalami atau mengungkapkan, melihat, merasakan, mengejewantahkan,, mengkhayalkan, dan pembentukan.
Unraveling The Bottleneck: A Technolegal Approach To Trademark Disputes In The Era Of Technological Disruption
Authors: Thio Ricky , Christiawan Rio
Published: September 2023

Especially in the era of technological disruption where massive changes occur, or refer to considerable changes in how businesses are run caused by technological advances. These changes are accelerating and impacting all aspects of the business, from how products are designed, manufactured, and marketed to how customer service is provided. All businesses have intellectual property, especially new inventors who have emerged in the era of technological disruption. We may not own a patent for our inventions, but we all own a trademark for our business. Trademarks can be images, logos, or terms used to advertise and represent our products. A trademark is a kind of intellectual property right known as a trademark. Therefore legal protection in Indonesia for Mark must be realized. Because globally, the issue of Intellectual Property Rights (IPR) has received serious attention in terms of economic relations or domestic and international trade. Especially countries that have traded products based on Intellectual Property Rights because Intellectual Property Rights are essential because goods and services as trade products are permanently attached to a specific name or entity that differentiates one product from another. There is a "bottleneck" of intellectual property law against trademarks because there are still many trademark disputes. The same trademark or a trademark that resembles the same class with different owners can be a disaster for companies that cannot compete. A bottleneck in intellectual property law can become various legal issues, including trademark disputes. This will be counter-productive in the era of technological disruption, so it becomes an urgent need to make improvements starting with registering trademarks using technological assistance. This legal phenomenon is studied and analyzed using a technological approach known as technolegal. Technolegal, which etymologically comes from combining the words "technology" and "law." In technolegal studies, technology is used to increase legal effectiveness and efficiency. By combining technology and law, the expected output from technolegal studies is the development of a new and more effective model of legal regulation.
The Effect of Profitability, Good Corporate Governance, and Environmental Disclosure on Firm Value in Mining Companies Listed on The Indonesia Stock Exchange
Authors: Yusra Muhammad Alfin , Sulistyowati Erna
Published: September 2023

The purpose of this research is to examine and analyze the influence of profitability, good corporate governance, and environmental disclosure on the firm value of mining companies listed on the Indonesia Stock Exchange. The research method utilized is descriptive research with a quantitative approach. The study population encompasses all mining companies registered on the Indonesia Stock Exchange (IDX) within the period from 2019 to 2022. In this study, a non-probability sampling technique was employed, specifically purposive sampling, resulting in a sample size of 72 from a span of 18 companies over 4 years. The variables under scrutiny include Return on Assets (ROA) as a measure of profitability, the proportion of independent board commissioners as an indicator of good corporate governance, the number of GRI disclosures as an indicator of environmental disclosure, and Tobin’s Q as a gauge of firm value. The analytical methodology and hypothesis testing were carried out using the Partial Least Square (PLS) method with SmartPLS 3.2.9 software. The PLS analysis consists of three stages: Outer Model, Inner Model, and Hypothesis Testing. The hypothesis testing results show that profitability has a significant impact on firm value, while good corporate governance and environmental disclosure do not exhibit a significant influence on firm value. These findings contribute to the understanding of how these factors interplay within the mining sector. However, this study has several limitations, including the variables used, the company's disclosures, and the limited period. Subsequent research can address these limitations and delve deeper into exploring the relationships of these variables or other variables with firm value.
About the theory of relativity
Authors: Stetsenko V. Y.
Published: September 2023

It is shown that the Earth, the Sun and the stars are not inertial systems. The speed of movement of one inertial system relative to another does not affect the parameters of the moving system. Photons, electrons, protons, neutrons move in space in helical spirals. The equations of the special theory of relativity are not applicable to particles that have particle‑wave properties. It is shown that the fifth coordinate is needed for the curvature of the four‑dimensional space of general relativity. Therefore, gravity cannot be interpreted from the position of the curvature of a four‑dimensional space in a four‑dimensional space. In non‑inertial systems, the forces of inertia are not equivalent to the forces of gravity. Photons moving in space in helical spirals with huge rotational frequencies are stabilized in the direction of rectilinear motion. The gravitational field does not affect the energy of photons and the trajectory of their rectilinear motion. The deviation of the trajectory of stellar photons near the Sun is due to the effect of the atmospheric lens of the Sun. The atmospheres of stars absorb photon energy, which is recorded as a red shift in the radiation spectrum. The displacement of the perihelion of Mercury occurs due to the precession of the axis of Mercury’s orbit under the influence of the gravitational forces of the Sun.
Об энергии аэродинамического звукового воздействия
Authors: Лушпай С. А.
Published: September 2023

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Ensuring sustainable development of the metallurgical industry of the republic of belarus under sanctions in 2022
Authors: Romashko N. A. , Chaus V. A.
Published: September 2023

The article considers the results of OJSC “BSW – Management Company of Holding “BMC”, the largest metallurgical enterprise in the Republic of Belarus in 2022. It also presents market diversification and export orientation towards friendly markets. The article describes new types of products and achievements in the field of quality, as well as the functional and operational work of the enterprise’s personnel.
Modernization of ladle refining area in order to expand the steel grades. Methods of ladle refining of steel, peculiarities of low-carbon alloyed steel grades production. Message 1. Implementation of the project for modernization of steel ladle refining area
Authors: Pivtsaev I. V. , Konovalenko S. V. , Derevyanko G. V.
Published: September 2023

Внепечная обработка стали – ключевое звено в современных технологических процессах получения качественной стали. Недостаток мощностей на проведение технологических операций на участке внепечной обработки стали в ОАО «БМЗ – управляющая компания холдинга «БМК» образован по причине модернизации дуговых сталеплавильных печей (ДСП) и, как следствие, их высокой производительности, а также необходимостью расширения сортамента. Поэтому одним из стратегических направлений развития металлургической отрасли в ОАО «БМЗ – управляющая компания холдинга «БМК» явилось внедрение инвестиционного проекта «Увеличение производительности внепечной обработки стали» в сталеплавильном производстве. ОАО «БМЗ» с компанией‑производителем оборудования был заключен контракт на разработку проекта, строительства и ввода в эксплуатацию двух установок типа «печь‑ковш» и одного циркуляционного вакууматора типа «RH‑SCOB» с возможностью форсированного обезуглероживания, что позволяет производить новые группы марок стали: особонизкоуглеродистые, низкоуглеродистые легированные стали. Горячие испытания оборудования и отработка технологии производства осуществлялись на протяжении 2019 г., ввод в эксплуатацию данного комплекса произведен 17 марта 2020 г. В ходе горячих испытаний и в процессе ввода в эксплуатацию достигнуты результаты по обезуглероживанию стали до значений C ≤ 0,002 %.
Technology of calibrated wire production for bearing rolling elements manufacturing
Authors: Belash V. V. , Kozyreva Y. I. , Belash Y. S.
Published: September 2023

The article considers technological schemes of cold‑formed wire production for bearing rolling elements production. Several technological schemes of wire production are considered. The paper presents a step‑by‑step development of drawing technology of alloyed (chromium) bearing steel grade. Problems arising at drawing of bearing steels are described. The reason of formation of “flaking” on the surface of rod is revealed. Ways of solving the problem of unsatisfactory drawing of wire from bearing steel grades are stated.

Relevance and novelty of technical and technological solutions of the present work are caused by the absence of production of calibrated wire for manufacturing of rolling elements of bearings on the territory of the Republic of Belarus. The development of this type of production will allow to increase the production of high‑tech products with a deep degree of processing (calibrated wire) for the growth of profitability and efficiency indicators. Creation of production of calibrated wire for manufacturing of rolling elements of bearings will allow to reach new consumers of metal products with increase of added value of finished products.
The Possibility of Using Barley Grains Extract as an Acidic Corrosion Inhibitor for Carbon Steel
Authors: Alhaidar Bashar , Reeshah Fidaa , Jammoal Yousef
Published: September 2023

تمت دراسة تأثير مستخلصات بذور الشعير على تآكل الفولاذ الكربوني في 1M حمض كلور الماء للتحقق من إمكانية استخدام كمثبط أخضر في عملية التنظيف وإزالة الترسبات الحمضية للمبادلات الحرارية، عند درجات حرارة مختلفة. أُجريت عمليات الاستخلاص باستخدام الايثانول والماء %50 حجماً، وبطريقتي النقع والأمواج فوق الصوتية. تمت دراسة آلية تأثير المثبط الذي أعطى أفضل كفاءة تثبيط، من خلال دراسة الامتزاز والتآكل بالطرق الكهروكيميائية (مخططات تافل، ومطيافية المقاومة الكهروكيميائية) والحسابات الترمودينامكية. أظهرت نتائج الدراسة عدم وجود تأثير لطريقة الاستخراج على سلوك التثبيط ، حيث أظهر التثبيط كدالة للتركيز زيادة معنوية في كفاءة التثبيط حتى التركيز 400 جزء في المليون ، ثم ظهرت مستقلة عنها في كلتا الطريقتين. ، ومع ذلك كانت درجة الحماية أعلى لمستخلص طريقة النقع عند التركيز 800ppm  87.01%) مقارنة بـ 80.56% لمستخلص الأمواج فوق الصوتية). أشارت دراسة آلية التثبيط لهذا المستخلص إلى إمكانية الامتزاز الكيميائي للمستخلص وإعادة لترتيب الشحنات في الطبقة المزدوجة الكهربائية . أبدت فعالية التثبيط ارتفاعاً مع  درجة الحرارة.
Microscopic evaluation of orbital moment in ferromagnetic resonance
Authors: Ishii Yuta , Yamasaki Yuichi , Kozuka Yusuke , Lustikova Jana , Nii Yoichi , Onose Yoshinori , Yokoyama Yuichi , Mizumaki Masaichiro , Adachi Jun-ichi , Nakao Hironori , Arima Taka-hisa , Wakabayashi Yusuke
Published: September 2023

Time-resolved X-ray magnetic circular dichroism under the effects of ferromagnetic resonance (FMR), known as X-ray ferromagnetic resonance (XFMR) measurements, enables direct detection of precession dynamics of magnetic moment. Here we demonstrated XFMR measurements and Bayesian analyses as a quantitative probe for the precession of spin and orbital magnetic moments under the FMR effect. Magnetization precessions in two different Pt/Ni-Fe thin film samples were directly detected. Bayesian analyses of the XFMR energy spectra around the Ni L2,3 absorption edges reveal the different direction of the precession axis of spin and orbital moments. This different dynamical behaviors of spin and orbital moments can be attributed to the perpendicular magnetic anisotropy on the orbital moment in Pt/Ni-Fe thin films. Our study paves the way for a microscopic investigation of the contribution of the orbital magnetic moment to magnetization dynamics.
Bioinformatics analysis of ceRNA network of autophagy-related genes in childhood asthma
Authors: Zhu Hao , Shi Jiao , Liao Qing , Xu Biao
Published: September 2023

Background
The key differentially expressed autophagy-related genes(DE-ARGs) in childhood asthma were screened, and lncRNA-miRNA-mRNA networks were constructed to further understand the pathogenesis of asthma.
Methods
DE-ARGs were identified using the Gene Expression Database (GEO) and the Human Autophagy Database. These DE-ARGs were subjected to Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway, Gene Set Enrichment Analysis, and protein-protein interaction network analysis followed by further verification of core gene expression. MiRNAs were inversely predicted using two databases (miRDB and ENCORI), while miRNA-lncRNA interactions were predicted using LncBase and ENCORI databases. After excluding lncRNAs present only in the nucleus and extracellular space, a competitive endogenous RNA (ceRNA) network was established and further analyzed. Finally, we validated mRNA expression levels in the ceRNA network by quantitative real-time PCR (qRT-PCR).
Results
31 DE-ARGs were obtained, of which 29 were up-regulated and two were down-regulated. Autophagy, regulation of apoptotic signaling pathways, interferon-α/β signaling, interferon γ signaling, autophagy-animal, and apoptosis pathways were mainly enriched in asthma. Five hub genes (VEGFA, CFLAR, RELA, FAS, and ATF6) were further analyzed to verify the expression and diagnostic efficacy of these core genes using the GEO dataset. Finally, four hub genes (VEGFA, CFLAR, RELA, and FAS) were obtained. Through the combination of literature search, ceRNA network mechanism, and predicted miRNAs and lncRNAs analysis, a ceRNA network of four mRNAs (VEGFA, CFLAR, RELA, and FAS), three miRNAs (hsa-miR-320b, hsa-miR-22-3p, and hsa-miR-625-5p), and 35 lncRNAs was finally constructed. qRT-PCR showed that FAS was signifcantly upregulated.
Conclusion
Four DE-ARGs, especially FAS, may play a key role in asthma. The new ceRNA network may help to explore the mechanism of autophagy in asthma, which may be important for the development of new treatment options.
Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
Authors: Merk Timon , Köhler Richard , Peterson Victoria , Lyra Laura , Vanhoecke Jonathan , Chikermane Meera , Binns Thomas , Li Ningfei , Walton Ashley , Bush Alan , Sisterson Nathan , Busch Johannes , Lofredi Roxanne , Habets Jeroen , Huebl Julius , Zhu Guanyu , Yin Zixiao , Zhao Baotian , Merkl Angela , Bajbouj Malek , Krause Patricia , Faust Katharina , Schneider Gerd-Helge , Horn Andreas , Zhang Jianguo , Kühn Andrea , Richardson R. Mark , Neumann Wolf-Julian
Published: September 2023

Brain computer interfaces (BCI) provide unprecedented spatiotemporal precision that will enable significant expansion in how numerous brain disorders are treated. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for identifying and advancing novel clinical BCI approaches does not exist. Here, we developed a platform that integrates brain signal decoding with connectomics and demonstrate its utility across 123 hours of invasively recorded brain data from 73 neurosurgical patients treated for movement disorders, depression and epilepsy. First, we introduce connectomics-informed movement decoders that generalize across cohorts with Parkinson’s disease and epilepsy from the US, Europe and China. Next, we reveal network targets for emotion decoding in left prefrontal and cingulate circuits in DBS patients with major depression. Finally, we showcase opportunities to improve seizure detection in responsive neurostimulation for epilepsy. Our platform provides rapid, high-accuracy decoding for precision medicine approaches that can dynamically adapt neuromodulation therapies in response to the individual needs of patients.
LiLA: Lipid Lung-based ATLAS built Through a Comprehensive Workflow Designed for an Accurate Lipid Annotation
Authors: Gonzalez-Riano Carolina , Requena Belén Fernández , Nadeem Sajid , Reddy Vineel , Naidoo Vanessa , Glasgow Joel , Steyn Adrie , Barbas Coral
Published: September 2023

Accurate lipid annotation is crucial for understanding the role of lipids in health and disease and identifying therapeutic targets. However, annotating the wide variety of lipid species in biological samples remains challenging in untargeted lipidomic studies. In this work, we present an optimized lipid annotation workflow based on the combination of LC-MS and MS/MS strategies, four bioinformatic tools, and a decision-tree-based approach to support the accurate annotation and semi-quantification of the lipid species present in lung tissue from control mice. The developed workflow allowed us to generate a lipid lung-based ATLAS (LiLA), which was then employed to unveil the lipidomic signatures of the Mycobacterium tuberculosis (Mtb) infection at two different time points for a deeper understanding of the disease progression. This workflow, combined with manual inspection strategies of MS/MS data, can enhance the annotation process for lipidomic studies and guide the generation of sample-specific lipidome maps. LiLA serves as a freely available data resource that can be employed in future studies to address lipidomic alterations in mice lung tissue.
Genital Mycoplasma and genital disorders among women of childbearing age in Franceville, South-Est Gabon.
Authors: Moghoa Kelly Hornelia Mbombe , Onanga Richard , Bignioumba Michelle , Nzambe Jean Ulrich Muandze , Lendamba Romeo Wenceslas , Mouanga-Ndzime Yann , Mahmoudou Saidou , Mba Romuald Be , Pecmann Klara , Gafou Amahani , Kassa Roland Fabrice Kassa , Bisseye Cyrille
Published: September 2023

Objective. This study evaluated the prevalence of Ureaplasma spp. and Mycoplasma hominis and their association with genital disorders (bacterial vaginosis, aerobic vaginitis, and vulvovaginal candidiasis).
Methods. The IST2 kit identified genital mycoplasmas. Nugent score and microscopic observation of neutrophils and bacteria served to diagnose bacterial vaginosis and aerobic vaginitis. Chi-square or Fisher’s exact test served for statistical analysis.
Results. The prevalence of M. hominis and Ureaplasma spp. was estimated at 2% and 41%, respectively, and Ureaplasma spp./M. hominis was 32%. The prevalence of BV, VVC, and AV was de 68%, 35%, and 54%, respectively. Group B Streptococcus (P=0.006, OR=0.41, 95% CI=0.22–0.77) (P=0.002, OR=0.30, 95% CI=0.14–0.63) was not associated with M. hominis, Ureaplasma spp./M. hominis respectively.
Conclusion. This study reports a high prevalence of genital mycoplasmas. VVC, AV, and BV were frequently encountered, but the association with genital mycoplasmas was not statistically significant.
Cross-cultural adaptation and validation of the COPD Patient- Reported Experience Measure (PREM-C9) in Spanish and Catalan.
Authors: Moharra Montserrat , Llupià Anna , Bayés Beatriu , Escarrabill Joan , Cari Almazán
Published: September 2023

Patient Reported Experience Measures (PREMS) are questionnaires developed to assess the patient experience(1) and incorporate a vision of patient centered care as a new element of value in the quality of healthcare. The PREM-C9 was developed and tested recently in the UK for patients with chronic obstructive pulmonary disease (CODP). The aim of the current study was to test the validity and reliability of the PREM-C9 in Spanish and Catalan. 289 patients with COPD completed the PREM-C9 (male 71.3%; female 28.7%). Internal consistency was high for both the Spanish [Cronbach’s alpha = 0.812] and Catalan [Cronbach’s alpha = 0.877] versions. Confirmatory Factor Analysis (CFA) proved the item distribution and dimensional structure of the questionnaire except for item2 of the scale “My everyday life with COPD”. Goodness-of-fit indices were very close to acceptable values for the CFI/TLI of 0.90. The three hypotheses tested to assess known groups’ validity were all confirmed. Participants with lower levels of education or with higher levels of breathlessness had poorer scores on the PREM-C9, while respondents reporting higher overall satisfaction with care reported better scores on the questionnaire. Accessibility to healthcare services and breathlessness were important factors in the regression model used to investigate variables affecting PREM-C9 scores accounting for 20% of the variance. This study has provided evidence for good reliability and structural and construct validity of the Catalan and Spanish versions of the PREM-C9.