bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital Transformation of Tax Law Principles
Authors: Lyutova O. I. 
Published: March 2024

Objective: to search for conceptual issues, features and prospects of development of tax law principles and tax obligation institute in the context of modern digitalization trends.Methods: the study is based on a set of general legal (analysis and synthesis, induction and deduction) and special-legal (formal-legal, comparativelegal) methods of cognition.Results: the main features of tax law principles characterizing their digital development were defined, namely: the expansion of the list of such principles and the changes in their content, predominantly at the level of institutional principles of taxation. A conclusion is made that in the digital era the tax law principles retain their theoretical significance as the most important category of the relevant science. The author states that the digital transformation of the institutional principle of tax fulfillment independence takes place mainly in the following directions: firstly, the range of taxpayers is expanded, in respect of which the duty to calculate tax can be imposed on a tax authority; secondly, the mechanism of the tax obligation execution is changed, among other things, by increasing the tax obligations of state authorities and credit organizations.Scientific novelty: the paper assesses the approaches used in the scientific literature and normative-legal framework related to transformation of the taxation principles due to the intensive use of information and communication technologies in tax relations. The author also analyzed the digital transformation of the principles of tax obligation as one of the main tax-legal institutions.Practical significance: is due to the lagging pace of tax legislation development in the Russian Federation compared to the objective processes of creation and application of new information and communication technologies in tax relations and adjacent spheres. The main provisions and conclusions of the study can be used as a basis to improve the tax legislation, as they develop knowledge about new tax law institutions – professional income tax, tax monitoring, single tax payment, and automated simplified taxation system.
Nomogram for a machine learning model with categorical predictors to predict binary outcome
Authors: Sufriyana Herdiantri , Su Emily Chia-Yu 
Published: March 2024

Abstract
We proposed a protocol to create a nomogram for a machine learning (ML) prediction model. The applicability is to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This protocol enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. However, this protocol only allows a nomogram creation for a model using categorical predictors to predict a binary outcome. The key stages consisted of providing the input for nomogram creation, and creating and reading the nomogram. This protocol takes 6 to 35 minutes to be completed.
The effect of telehealth on pain management: Protocol for a systematic review and meta-analysis
Authors: Motahari-Nezhad Hossein , Sadeghdaghighi Aslan , Salmani Hosna 
Published: March 2024

Abstract
This protocol outlines a systematic review and meta-analysis aimed at evaluating the impact of telehealth on pain management. The inception of telehealth as a revolutionary method in healthcare delivery, particularly in pain management, has become increasingly prominent, especially during the COVID-19 pandemic. The review will follow the PRISMA-P guidelines, incorporating randomized controlled trials (RCTs) that compare telehealth interventions with non-telehealth controls for pain management in diverse populations, settings, and clinical conditions. Only English-language studies, published from 2018 onwards, will be included. Eligibility criteria are based on the PICOS framework, focusing on two-arm RCTs. The search will encompass major databases like PubMed and the Cochrane Library, with subsequent screening and data extraction conducted by independent reviewers. Risk of bias will be assessed using the ROB 2 tool. A random-effects meta-analysis will synthesize evidence, adjusting for heterogeneity and potential biases. The GRADE tool will evaluate the quality of evidence. This study aims to comprehensively assess telehealth's effectiveness in pain management, addressing knowledge gaps and guiding future research, policy development, and clinical practice. Its findings are expected to inform healthcare professionals and policymakers, aiding in the integration of telehealth into pain management strategies and adapting to the changing landscape of healthcare delivery in a digital age.
Cesarean section rate trends in the Netherlands using the Robson classification system: a registration based 10-year population study
Authors: Vis Linda C. , Dillen Jeroen van , Ganzevoort Wessel , Rosman Ageeth N. 
Published: March 2024

Abstract
Background
Worldwide, the average cesarean section rate is rising, including in the Netherlands. In 2018 the World Health Organization changed its norm from an optimum percentage towards preventing unnecessary cesarean sections and recommended to use the Robson Ten Group Classification System. This study aims to describe trends of cesarean section and corresponding perinatal and neonatal outcomes according to the Robson classification system, to analyze the women who contribute most to the cesarean section rate in the Netherlands, in order to identify appropriate interventions to reduce unnecessary cesarean sections.
Methods
Population-based descriptive study using data of the Dutch Perinatal Registry between 2011–2020. All women who gave birth from 24 weeks onwards and a known mode of birth between 2011 and 2020 in the Netherlands (n = 1,592,656) were included. The data are presented descriptive, as absolutes and percentages.
Results
The overall cesarean section rate was 16.6%. The Trial of Labor After Cesarean Section and successful Vaginal Birth After Cesarean rates decreased by respectively 16.3% and 12.2%. Robson 1, 2a and 5 showed the biggest impact in the time period 2011 to 2020. Robson 1 was one of the biggest groups (27.7%). Robson 5 showed the biggest increase in the cesarean section rate (13.8%) and in the contribution to the number of cesarean births (10.0%). Over the whole study period, the overall perinatal mortality and neonatal outcomes did not differ.
Conclusion
Analyzing cesarean section rates by Robson criteria helps identifying areas for improvement. Robson 1, 2a en 5 were the biggest contributors to the cesarean section rate in the Netherlands. Trial of Labor After Cesarean Section and successful Vaginal Birth After Cesarean percentages decreased the past 10 years.
PlGF and VEGF-A/PlGF heterodimer are crucial for recruitment and activation of immune cells during choroid neovascularization
Authors: Tarallo Valeria , Trotta Sara Magliacane , Panico Sonia , D’Orsi Luca , Mercadante Grazia , Cicatiello Valeria , Falco Sandro 
Published: March 2024

Abstract
Purpose. Recruitment and activation of inflammatory cells, such as retinal microglia/macrophages, in the sub-retinal space contribute significantly to the pathogenesis of age-related macular degeneration (AMD). This study aims to explore the functional role of vascular endothelial growth factor (VEGF-A), placental growth factor (PlGF) and VEGF-A/PlGF heterodimer in immune homeostasis and activation during pathological laser-induced choroidal neovascularization (CNV).
Methods. To investigated these roles, we utilized the PlGF-DE knockin mouse model, which is the full functional knockout of PlGF. In this model, mice express a variant of PlGF, named PlGF-DE, that is unable to bind and activate VEGFR-1 but can still form heterodimer with VEGF-A.
Results. Our findings demonstrate that, while there is no difference in healthy conditions, PlGF-DE-Ki mice exhibit decreased microglia reactivity and reduced recruitment of both microglia and monocyte-macrophages, compared to wild-type mice during laser-induced CNV. This impairment is associated with a reduction in VEGF receptor 1 (VEGFR-1) phosphorylation in the retinae of PlGF-DE-Ki mice compared to C57Bl6/J mice. Corroborating these data, intravitreal delivery of PlGF or VEGF-A/PlGF heterodimer in PlGF-DE-Ki mice rescued the immune cell response at the early phase of CNV compared to VEGF-A delivery.
Conclusions. In summary, our study suggests that targeting PlGF and the VEGF-A/PlGF heterodimer, thereby preventing VEGFR-1 activation, could represents a potential therapeutic approach for the management of inflammatory processes in diseases such as AMD.
Optimizing and Anticipating the Residual Stress in Al6061 Deep-Drawn Cups Employing RSM and ANN
Authors: Askari Ali , Kardan Masoud 
Published: March 2024

Abstract

Residual stresses are inevitable phenomena in the deep drawing process due to the applied mechanical tools. However, they can be minimized as process parameters are optimized. This paper explores the use of response surface methodology (RSM), finite element method (FEM), and artificial neural networks (ANN) to optimize and predict the punch force, thickness distribution, and residual stresses in Al6061 deep drawn cups. The study aims to investigate eight key process parameters, including initial blank thickness, punch and die shoulder radii, blank-holder force, punch velocity, and coefficients of friction between die-blank, holder-blank, and punch-blank. RSM is employed to design experiments, identify the degree of importance of parameters, find optimal process parameters configuration regarding each output and provide the required dataset for training the network. Moreover, it is used as an extra comparison tool with ANN. To avoid time-consuming and costly residual stress assessment techniques, a verified FEM model is used. Finally, an ANN is trained to anticipate outputs considering different process parameters, most notably residual stress, which is difficult, time-consuming, and expensive to measure. The results show that the optimized process parameters lead to a significant reduction in residual stresses, required punch force and thickness distribution. Furthermore, the proposed methodology provides a reliable and efficient approach for anticipating the residual stresses in deep-drawn cups and improving the quality of the final product.
Are glucocorticoids truly effective in improving the clinical prognosis of HSV-1 encephalitis?
Authors: Xie Shuhua , Sun Wei , Lai Zhaohui , Zhu Yunhui , Lai Tianmin , Ye Jinchun , Liu Xianghong 
Published: March 2024

Abstract

Background
Survivors of herpes simplex encephalitis (HSE) commonly experience significant neurological sequelae, imposing a substantial burden on both society and families. The efficacy of glucocorticoids in treating patients with HSE remains controversial. This study aims to evaluate the effectiveness of glucocorticoids in patients with HSE and analyze the clinical characteristics of this patient population.
Methods
This retrospective study evaluated the clinical characteristics, auxiliary examinations, and patient prognosis of HSE patients diagnosed with mNGS, and analyzed the prognosis of patients in both Glucocorticoid and Non-glucocorticoid groups. Assess the prognosis based on the improvement of GOS score and MMSE score at 1 and 3 months after discharge.
Results
A retrospective analysis was conducted in 29 HSE patients who met the criteria for GOS score improvement 3 months after discharge. The hormone group was better than the non-hormone group (2 (0–2) scores VS 1 (1–2) scores). There was no significant difference between the two groups in GOS score 1 month after discharge. However, no statistical difference was found in improving patient outcomes between the two groups.
Conclusion
Despite the hormone group not obtaining the anticipated positive outcomes, potentially due to the relatively limited sample size in this study, previous case series reports have indicated that corticosteroids, when used as an adjunct to acyclovir therapy, may enhance patient outcomes. Consequently, further extensive clinical studies involving multiple centers and larger sample sizes are warranted to investigate this matter further.
Intestinal fatty acid-binding protein levels in patients with cirrhosis: Implications for mucosal injury and varices
Authors: Miuma Satoshi , Miyaaki Hisamitsu , Taura Naota , Kanda Yasuko , Matsuo Satoshi , Tajima Kazuaki , Takahashi Kosuke , Nakao Yasuhiko , Fukushima Masanori , Haraguchi Masafumi , Sasaki Ryu , Ozawa Eisuke , Ichikawa Tatsuki , Nakao Kazuhiko 
Published: March 2024

Abstract

Assessing small intestinal mucosal injuries in patients with cirrhosis is crucial. Here, we measured intestinal fatty acid-binding protein (I-FABP) levels, a useful marker of small intestinal mucosal injury, in patients with cirrhosis to determine their relationship with liver function and complications. The study included 71 patients with cirrhosis admitted for treatment of cirrhotic complications or hepatocellular carcinoma (cohort A, derivation cohort) and 104 patients with cirrhosis who received direct-acting antiviral therapy for HCV (cohort B, validation cohort). I-FABP levels measured by ELISA were evaluated relative to hepatic reserve and compared with non-invasive scoring systems for diagnostic performance in cirrhotic complications. In Cohort A, the median I-FABP level was 2.80 ng/mL, which was significantly elevated in patients with reduced hepatic reserve (CTP grade A/BC: 2.33/3.17 ng/mL, p = 0.032) and complications with gastroesophageal varices (GEV) ((-)/(+): 1.66/3.67 ng/mL, p < 0.001). Multiple logistic regression analysis identified I-FABP as the only factor contributing to the presence of GEV (OR; 3.278, p = 0.005), which outperformed noninvasive scoring systems for GEV diagnosis (sensitivity 84.6%; specificity 84.2%). Cohort B confirmed these findings with higher I-FABP levels in patients with reduced hepatic reserve (CTP grade A/BC: 2.46/3.64 ng/mL, p = 0.008); I-FABP was the only factor contributing to the presence of GEV (OR; 1.433, p = 0.028) with the highest discriminative ability (sensitivity 69.6%; specificity 63.8%). In conclusion, elevated small-intestinal mucosal injury in patients with cirrhosis was linked to reduced hepatic reserve and GEV. I-FABP levels may reflect portal hypertension and be useful for management of patients with cirrhosis.
Investigation of Zirconia Effect in Zr/CeO2- Al2O3 Catalyst for Diesel Soot Oxidation
Authors: Shukla Mritunjay Kumar , Bangwal Vibhuti , Dhar Atul , Bhaskar Thallada , Kumar Adarsh 
Published: March 2024

Abstract
The cost of diesel exhaust treatment is steadily rising, and soot particles in diesel engine exhaust have a negative impact on human health. The study uses efficient Zr/CeO2-Al2O3 catalysts as a substitute for noble metal catalysts to lower the process cost. A part of this is because of the ever-increasing scarcity of noble metal catalysts required for diesel oxidation catalysts. The current study focuses on an alternative diesel oxidation catalyst with efficiency similar to that of a noble metal catalyst but with a much lower cost. CeO2-Al2O3 catalysts are known for their oxygen storage capacity and high redox activity, making them suitable for soot oxidation. The addition of Zr to these catalysts has been shown to influence their structural and chemical properties, which significantly affect their catalytic behavior. Evaporation-induced self-assembly (EISA) was used to prepare 1, 3, and 5 wt% Zr supported mesoporous CeO2-Al2O3 catalysts. Morphological, structural, and physicochemical properties of the synthesized catalysts were examined using BET, Absolute Isotherm, SEM, -XRD, FTIR, TPR, and NH3-TPD. XRD, BET, and SEM data confirmed that the catalysts were mesoporous and low-crystalline while having a high surface area. The loose contacts soot oxidation activity test using TGA suggested that 50% oxidation of soot occurred at 390oC in the absence of a catalyst. T50 of CeO2-Al2O3 catalyzed soot oxidation was 296 oC. We observed a further drastic change in T50 of soot over 1, 3, and 5% Zr/CeO2-Al2O3, which were 220oC, 210oC, and 193oC, respectively. According to these results, incorporating Zr into the CeO2-Al2O3 catalyst greatly improved the oxidation process of soot.
Identification and verification of novel therapeutic agents for diabetic kidney disease based on exosome-targeted high-throughput chemical screening
Authors: Fujimoto Daisuke , Umemoto Shuro , Mizumoto Teruhiko , Kanki Tomoko , Hata Yusuke , Nishiguchi Yoshihiko , Date Ryosuke , Zhang Jingxuan , Kakizoe Yutaka , Izumi Yuichiro , Adachi Masataka , Kojima Hirotatsu , Mukoyama Masashi , Kuwabara Takashige 
Published: March 2024

Abstract
Exosomes are important mediators of intercellular communication and play key roles in the regulation of pathophysiological processes. In diabetic kidney disease (DKD), it has been reported that macrophages recruited in the mesangial region may play pathogenic roles through inducing local inflammation in glomeruli. We focused on exosome-mediated crosstalk between mesangial cells (MC) and macrophages as a novel therapeutic target for DKD. Exosomes released from MC induced inflammation in macrophages and the effect was enhanced under high-glucose conditions. For discovering novel therapeutic agents which can inhibit such exosome-mediated mechanisms, drug repositioning is considered as aneffective tool. We established a unique screening strategy and screened agents to aim at maximizing their specificity and potency to inhibit exosomal mechanisms, along with minimizing their toxicity. We succeeded in identifying alvespimycin, an HSP90 inhibitor. Treatment of diabetic rats with alvespimycin significantly suppressed mesangial expansion, inflammatory gene activation including macrophage markers, and proteinuria. The inhibitory effect on exosome uptake was specific to alvespimycin compared with other known HSP90 inhibitors. MC-derived exosomes are crucial for inflammation by intercellular crosstalk between MC and macrophages in DKD, and alvespimycin effectively ameliorated the progression of DKD by suppressing exosome-mediated actions, suggesting that exosome-targeted agents can be a novel therapeutic strategy.
GaN multichannel devices with latch-induced sub-60 mV/decade subthreshold slope.
Authors: Kuball Martin , Shaji Akhil Kumar , Dalcanale Stefano , Uren Michael , Pomeroy James , Smith Matthew , Parke Justine , Howell Robert 
Published: March 2024

Abstract
AlGaN/GaN-based Superlattice Castellated Field Effect Transistors (SLCFET) are the foundation for high power RF amplifiers and switches for future radars, although their reliability is not yet well understood. Transistor latching is observed in GaN transistors for the first time. At the latching condition, drain current (ID) transits from an OFF-State value to high ON-State value sharply with a slope less than 60 mV/decade. Current-voltage (I-V), simulations and correlated electroluminescent (EL) emission at the latching condition indicates that triggering of fin width dependent localized impact ionization is responsible for latching. This localization is attributed to the presence of fin width variation arising due to variability in the fabrication process. The reversible and non-degrading nature of the latching condition is promising for next generation RF applications.
Research on geographic information update index of RTK location big data
Authors: Zeng Xiangqiang , Zhou Fengsong , Ao Minsi , Chen Chunhua 
Published: March 2024

Abstract

The research on RTK location big data is significant for updating geographic information and for the application of location big data. In this paper, we used the HNCORS RTK location big data from 2016–2018 to establish the user spatial activity index. We then analysed the correlation between the user spatial activity index and the remote sensing change patch data in Hunan Province. The results indicate a significant correlation between the user spatial activity index and remote sensing patch change data in most districts and counties of Hunan Province. Additionally, RTK user active areas coincide with geographic information change areas. This paper uses HNCORS RTK location big data to construct a model of geographic information updating index in Hunan Province. The model provides a decision-making basis for geographic information updating and remote sensing image coordination in the province.
Autism Spectrum Disorder gene prediction using Machine learning model and Human brain Spatiotemporal gene expression Data
Authors: ouardi Mouncef El , Houssaini Ahmed Saad Squalli , Oukabli Mohammed , Kisra Hassan , Abik Mounia , BENSAID Mounia 
Published: March 2024

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a clear evidence of genetic basis. Although the list of ASD risk genes is growing, it is still far from complete. Co-expression analysis showed convergence across multiple ASD-associated genes during mid-fetal development in the prefrontal cortex suggesting an important connection of risk gene activity in specific places at a precise time. In this study, we used a machine learning approach to predict ASD candidate genes using the genes labeled and spatiotemporal gene expressions in the human brain. We applied six machine learning method. Ultimately, we opted for the ANN model which gave us scores that surpassed those of the other models: AUC 88.6%, AUC_PR 71.38%, F1_score 67.5%. The genes identified by our model were validated in independent datasets of risk genes. The top-ranked genes included not only those known in ASD (for example UNC13A, CHD3, GRIk3) but also novel candidates such as SNORD112, Small nucleolar RNAs that have a role in the mechanism of the epigenetic imprinting process and EVX2, transcription factor that specify the neurotransmitter fates. Our method outperformed other ASD candidate ranking system. An ontological enrichment analysis of our risk genes predicts showed biological processes evidently relative to ASD including neuron projection development, neuron differentiation, neurogenesis, synaptic signaling and also other mechanisms such as regulation of RNA metabolic process. Our study reveals that spatiotemporal gene expression patterns in human brain can distinguish ASD risk gene. Our gene ranking system is therefore a helpful resource for prioritizing candidate autism genes.