bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teleology and Self-Regulation of Law
Authors: Shigabutdinova A. L. 
Published: October 2024

The paper discusses the self-regulation of law as one of its systemic inherent manifestations. Such problem statement enables the researcher to explain the mechanism that ensures the specific quality of objective law. Studying the self–regulation of law involves identifying what the inherent qualitative state of law dwells on – whether it is spontaneous or controlled from the outside. The purpose of the study is to view the methodological possibility of applying a synergetic model of self-regulation to law. This model describes spontaneous formation or change of structure in open, unstable and nonlinear systems. The Author associates the specifics of self-regulation of law with its teleological nature. The paper highlights the two aspects of teleological character of law: the purpose of its emergence and the purpose of its qualitative variety. On the one hand, law, emerging to serve a specific purpose, does not exist as an independent and self-sufficient entity, but as a specialized means of a particular purpose. On the other hand, law is a functioning system based on purpose and expediency. The quality of the system is always specific and adapts in order to achieve the set social goals. The paper proves that the teleological nature of law excludes self-regulation properties viewed synergetically, which implies the spontaneous activity of the system. The study shows that the processes taking place in law are characterized not by internal, spontaneous, but by external determination. The sequence and content of these processes is controlled from the outside by the purposeful activity of the law-creating subject and is subject to the general logic of the purpose of law. Considering law as a human-organized and controlled system; nevertheless, the Author proves that it has selfregulation properties. The self-regulation of law in the paper is viewed as one of the specific ways of preserving and reproducing its integral characteristics. According to the Author, the self-regulatory properties of law are reduced to its “self-adjustment”, which is not spontaneous, but deliberately set by a human to achieve appropriate goals. The mechanism of such “self-adjustment” is based on a set of adaptive legal means and specific connections that provide integrity, quality and functionality of law regardless of external conditions.
Mediation as a Form of Restorative Justice
Authors: Galennikov L. S. , Derishev Yu. V. 
Published: October 2024

The relevance of the proposed study is due to the existing problems of the institution of conciliation in the criminal proceedings of the Russian Federation. At the same time, no detailed legal regulation of the conciliation mechanism in the CPC of the Russian Federation significantly reduces the effectiveness of law enforcement through using alternatives to criminal prosecution. As a result, there is a need to find new effective ways to resolve criminal law disputes allowing for the full restoration of the rights of victims of crime. One of these methods is mediation procedure, which contributes to resolving criminal law conflicts in an extremely constructive and mutually beneficial way for both sides of the dispute with the help of an independent third party (mediator). This procedure is reflected in the concept of restorative justice. The purpose of the study is to determine the theoretical background of the institution of conciliation in criminal proceedings on the basis of a historical, legal and comparative analysis of its procedures, as well as to identify the issues related to law enforcement. In this regard, the proposed paper examines a well-established mechanism for the settlement of criminal law conflicts in western legal systems. This mechanism provides for a special subject of conciliation – a mediator possessing professionalism, independence and impartiality. The paper substantiates the reason of introducing the institution of mediation into domestic criminal proceedings, proposes its functional and legal model providing for a range of crimes with possible conciliation, the stages of its implementation, as well as requirements for mediators as candidates. The paper extensively uses comparative legal method helping to determine the prerequisites for introducing the institute of mediation in the Russian criminal procedure legislation as an independent form of resolution of criminal law conflicts. The Authors come to the following conclusions: It is advisable to update the provision of Article 25 of the Code of Criminal Procedure of the Russian Federation and codify the concept of mediation as “a way to resolve a criminal conflict used with the voluntary consent of the victim and the offender with the help of an impartial third party” and the conditions for its application. It is necessary to legislate a new impartial and independent party in criminal proceedings – a mediator who will act as a third party in the mediation, exclusively on a professional basis. Moreover, the Federal Law “On Alternative Dispute Settlement with the Help of Mediator (Mediation)” dated July 27, 2010 No. 193-FZ needs to be edited in terms of extending mediation to criminal law relations, which will allow conflicting parties to resort to this procedure. In particular, amendments to this law should concern the requirements of a professional mediator, including those involved in criminal proceedings.
Study of pesticide-use pathways during the agroecological transition of DEPHY-Vigne farms
Authors: Fouillet Esther , Delière Laurent , Chartier Nicolas , Cortel Sébastien , Flori Albert , Rapidel Bruno , Merot Anne 
Published: October 2024

Created in 2010, the DEPHY-Vigne network is formed of winegrowers who are committed to reducing the use of pesticides, and thus aims to demonstrate that such a change is possible using currently available techniques. The DEPHY-Vigne network showed an average reduction in pesticide use of 32 % over 10 years, with high inter- and intra-annual variability indicating a wide range of pesticide reduction pathways (Fouillet et al., 2022).
Quantitative Assessment of Sand Particulates in Gas-Water Slug Flow Using Deep Learning
Authors: Wang Kai , Tian Jiaqi , Chang Ziang , Lu Jiaqi , Qin Min , Wang Zibiao , Wang Zhiyuan 
Published: October 2024

Summary
The weak collision response excited by micrometer-scale sand particulates is prone to overmixing with strong slug noise, significantly reducing the characterization and monitoring accuracy of sand particulate information in slug flows. Therefore, we developed a quantitative assessment method for sand particulates in slug flow that combines triaxial vibration monitoring and deep learning. First, a migration behavior characterization method of sand particulates is proposed combining nonlinear statistics, multifrequency coherence, and multiscale time frequency. The multifrequency response characteristics corresponding to the multiscale flow behavior of the sand-carrying slug flow were successfully characterized on the 2D time-frequency plane, namely, the mixed sand migration behavior [Intrinsic Mode Function 1 (IMF1)], liquid slug sand carrying (IMF2), forward liquid film and Taylor bubble sand carrying (IMF3), and reflux liquid film sand carrying (IMF4). Furthermore, the influence mechanism of gas superficial velocity (1.5–3.5 m/s), liquid superficial velocity (0.95–2.14 m/s), and sand content (0–20 g) on the triaxial vibration response of slug particulate flow with different migration behaviors is elucidated. Finally, a convolutional neural network (CNN)-gated recurrent unit (GRU)-self-attention mechanism (SATT) model for sand content assessment is developed based on the characterized multiscale migration behavior information and achieves an average recognition accuracy of 95.55% for data sets representing different sand migration behaviors in slug flow. This provides a new method for precisely identifying and monitoring sand production information of multiphase pipe flow.
Effect of Pore Structure on Tertiary Low-Salinity Waterflooding in Carbonates: An In-Situ Experimental Investigation
Authors: Tong Chunyu , Yang Yongfei , Zhang Qi , Li Haoyun , Zhang Lei , Sun Hai , Zhong Junjie , Zhang Kai , Yao Jun 
Published: October 2024

Summary
Low-salinity waterflooding (LSW) is an environmentally friendly and economically feasible technology that enhances oil recovery by controlling ionic composition or brine salinity. The recovery efficiency of this technique is strongly affected by the rock pore structure that governs the flow behavior of the injected brine. However, existing experimental studies elaborating on the relationship between pore structure and LSW performance in carbonates remain scarce. To address this gap, three carbonate plugs with different pore structures were displaced sequentially with synthetic high- and low-salinity brine under the capillary-dominated flow regime. High-resolution micro-computed tomography (CT) was used to obtain 3D images of different displacement stages, visualizing the fluid distribution. After image processing and contact angle calculation, it was found that the primary mechanism for enhanced recovery was wettability alteration, transitioning from oil-wet to weakly oil-wet. Significant differences were observed among the three samples. Sample 1 showed the highest additional recovery (22.2%), followed by Sample 2 (11.2%), and the lowest was Sample 3 (4.5%). Despite Sample 1 and Sample 3 having similar and narrow pore size distributions, they exhibited different fluid behaviors during LSW: In Sample 1, oil was mainly displaced from medium-sized pores, whereas in Sample 3, small pores were the main target for brine. The large coordination number likely enhanced the relative permeability of the high-salinity brine. The low-salinity brine followed the pathway formed by the high-salinity brine, affecting the LSW performance. This work provides novel insights into how pore structure affects oil recovery by comparing the response of multiple carbonate samples to LSW.
Thermodynamic and Condensation Rate Modeling in Abandoned Wells: Assessing Potential Corrosion Risks in CCS Applications
Authors: Gupta S. S. , Rai S. , Ratnakar R. R. 
Published: October 2024

Summary
Carbon capture and storage (CCS) is considered one of the most suitable solution strategies for decarbonization in energy-intensive industries. While the examples of commercial-scale CCS projects are steadily growing worldwide, monitoring and success of such projects require mitigating several risks at the field scale. One of the challenges lies in assessing wellbore integrity issues in nearby abandoned wells, where wellbore corrosion caused by the condensation of acidic gases could be a potential integrity hazard. In this work, we develop a modeling framework to assess this issue by analyzing the underlying physical process of acid gas condensation through thermodynamics and heat transfer models to predict the acid gas condensation rates. We assess the effects of reservoir conditions of salinity, temperatures, and pressures on the resulting condensation rates, pH of the condensed liquid, and semi-empirically derived corrosion rates (CRs) across the well height. The study highlights the need to develop an assessment framework to identify and assess such integrity risks at an early stage for CCS projects.
WITHDRAWN: A Cross-sectional Study on Pelvic Inflammatory Disease Prevalence and Dietary Phosphorus using NHANES Data from 2015-2018
Authors: Mai Hui-Min , Zheng Ya-Fang , Chen Ze-Ru , Zha Yong-Ping , Jia Pan , Yan Chen , Luo Hong-Bin , Lao Jian-Wei , Guo Xu-Guang , Lin Li-Hong 
Published: October 2024

Abstract

The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
The Effects of Self-efficacy in Managing the Disease and Disease Adaptation Levels of Familial Mediterranean Fever (Fmf) Patients on Satisfaction With Life: a Web-based Cross-sectional Study
Authors: Demir Rahime Nur Nur , KIRAÇ Ramazan , KIRAÇ Fatma Çiftçi 
Published: October 2024

Abstract

Background: Familial Mediterranean Fever (FMF) is an auto inflammatory disease often accompanied by fever and serositis attacks in which peritoneum, pleura, synovium, and rarely pericardium are spared. In the study, the effects of self-efficacy in managing the disease and disease adaptation levels of FMF patients on satisfaction with life were examined.
Methods: This observational cross-sectional study was conducted using a web-based questionnaire sent via Facebook and Instagram FMF groups between February 1, 2024 and April 25, 2024. The population of this study consisted of patients diagnosed with FMF at least 1 year ago in Türkiye.
Findings: The mean self-efficacy score of FMF patients in managing chronic diseases was found to be 4.67. According to the results of the study, physical adaptation was determined to be the highest adaptation in FMF patients. This is followed by psychological adaptation and social adaptation. In general, the scores the patients obtained regarding disease adaptation and its sub-dimensions were found to be close to the average value. The satisfaction with life scores of the patients were found to be below the average.
Conclusion: This study revealed that the self-efficacy and disease adaptation levels of FMF patients in Türkiye affect their satisfaction with life.
Transplantation of mesenchymal stem cells improves age-related ovarian dysfunction via regulating the local renin-angiotensin system
Authors: Mao Caiping , Wei Lun , Guo Huiping , Luo Chao , Yin Na , Jiang Wangtao , Qian Fei , Zhou Anwen , Lu Xuanping , Bo Le 
Published: October 2024

Abstract

Background: the context and purpose of the study
Methods: how the study was performed and statistical tests used
Results: the main findings
Conclusions:
Age-related reproductive aging is a natural and irreversible physiological process, and delaying childbearing is increasingly common all over the world. Transplantation of umbilical cord-derived mesenchymal stem cells (MSCs) is considered a new and effective therapy to restore ovarian function, but the relevant mechanisms remain unclear. In recent years, it has been found that there is a local renin-angiotensin system (RAS) in human ovary and it plays a key role.In our research, local RAS of ovary, which is independent of circulating RAS, is affected by age and related to ovarian function. Furthermore, the in vivo(mice) and in vitro (KGN cells) experiments were designed to confirm that transplantation of MSCs improves age-related ovarian dysfunction by the local RAS. Together, our findings indicate that a novel possible mechanism to explain how stem cells restore age-related ovarian dysfunction.
Expansion of the Mutation and Phenotype Spectrum of the GABRA2-related developmental and epileptic encephalopathy78
Authors: Guo Tingyi , Wang Pengchao , Yang Bin , Gu Weiyue , Wang Hua , Zhu Hongmin , Zhong Jianmin , Zhao Zhongli 
Published: October 2024

Abstract

Background
Developmental and epileptic encephalopathy 78 is a severe neurological disease characterized by intractable seizures and severe intellectual disability (ID). It was discovered in 2019 as a autosomal dominant genetic disease caused by heterozygous mutation in the GABRA2 gene(* 137140) which located on chromosome 4p12. So far,only 8 patients with 7 deleterious missense variants in the GABRA2 gene have been reported.
Materials and methods
In this study, Using Trio-Whole Exome Sequence, we discovered five novel GABRA2 variants in five unrelated patients belong to five different families. Furthermore, we systematically described all 13 patients’ clinical features and molecular genetics.
Result
Identified five novel deleterious variants in GABRA2 gene within five patients,one frameshift variant(c.988_c.989insTTATG, p.Glu330Valfs*22), four missense variants(c.644T > C, p.Leu215Ser; c.862A > G, p.Thr288Ala; c.166C > T, p.Arg56Trp; c.460C > G, p.Leu154Val). These patient cohort presents a complex array of neurological and developmental challenges, with a spectrum ranging from severe motor and cognitive impairment to varying degrees of seizure frequency and type, as well as resistance to pharmacological treatments. The variability in clinical presentation highlights the need for individualized approaches to treatment and care
Conclusion
In summary, Seizures were a phenotype observed in all patients, while there were other additional variable phenotypes. We identified five novel variants of the GABRA2 gene using Trio-whole exome sequence for the fist time in China, This study broadened the genetic and phenotypic spectrum of the GABRA2 gene
Biomarkers of systemic inflammatory status as predictors of delayed cerebral ischemia after subarachnoid hemorrhage
Authors: Gaviria Leidy , Gempeler Andrés , Valencia Andrea , Porras Alexandra , Rico María Andrea , Escalante Manuela , Mejía-Mantilla Jorge 
Published: October 2024

Abstract

Background: Inflammatory biomarkers and derived indexes have been reported as useful prognostic tools in subarachnoid hemorrhage (SAH) to predict risk of vasospasm, delayed cerebral ischemia (DCI) or death. This study aimed to assess the prognostic value of platelet characteristics, the systemic inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and mean platelet volume-to-platelet ratio (MPV:PLT) in patients with aneurysmal subarachnoid hemorrhage.
Methods: This was a retrospective cohort study that included 309 adult patients with SAH admitted to the ICU of a tertiary care teaching hospital in Cali, Colombia between 2011 and 2022. Plasma inflammatory biomarkers were measured in patients up to 14 days after SAH. Platelet characteristics trajectory plots by occurrence of DCI were produced to look for trend changes in the first days after SAH that could suggest and underlying pathophysiologic mechanism useful for prediction of this outcome. Odds ratios with 95% confidence interval were calculated for all indexes and ratios in the first three days after SAH using the originally reported cut-off points for its association with DCI, vasospasm, favorable modified Rankin scale score (0-3) and death. The prognostic value of the indexes was assessed through area under the receiver operating characteristic curves (AU-ROC).
Results: 309 patients were included in this study (mean age 58.3 years, 68% women). DCI was detected in 137 patients; 44.3%. Vasospasm was detected in 111; 35.9%. During the hospitalization rebleeding occurred in 54 patients (17.5%), hydrocephalus in 107 patients (34.6%) and cerebral ischemia in 77 patients (24.9%). For the cut-off points of SII >1.92, SIRI>3.2, NLR>4, LMR<2, and PLR>145 during the first three days after admission we did not find association with DCI, vasospasm, neurologic outcome or death. The AU-ROC estimates of these indexes did not surpass a pre-stablished usefulness threshold of 75% and thus no new cut-off points were proposed.
Conclusions
Previously reported results of the prognostic value of inflammatory indexes and biomarkers in patients with SAH or other cerebrovascular diseases were not reproducible in this cohort of patients with aneurysmal subarachnoid hemorrhage. Our findings call into question the reproducibility and applicability of proposed prognostic biomarkers and indexes and should prompt efforts to verify their value in clinical settings, as well as prompt efforts to identify the best prognostic tools available in these patients.
Cerebrospinal Fluid Leakage Combined with Blood Biomarkers Predicts Poor Wound Healing After Posterior Lumbar Spinal Fusion: A Machine Learning Analysis
Authors: Pang Zixiang , Ou Yangqin , Liang Jiawei , Huang Shengbin , Chen Jiayi , Huang Shengsheng , Wei Qian , Liu Yuzhen , Qin Hongyuan , Chen Yuanming 
Published: October 2024

Abstract

Objective
The objective of this study aimed to investigate the risk factors for poor wound healing (PWH) after posterior lumbar spinal fusion. Thus, our primary aim is to using machine learning identify these risk factors and construct a clinical risk prediction model.
Methods
We retrospectively reviewed 2516 patients who underwent posterior lumbar spinal fusion at Guangxi Medical University's Second Affiliated Hospital between August 2021 and August 2023. The data was divided into test and validation groups in a 7:3 ratio. In the test group, logistic regression analysis, support vector machine (SVM), random forest (RF), decision tree (DT), XGboost, Naïve Bayes (NB), k-Nearest Neighbor (KNN), and Multi-Layer Perceptron (MLP) were used to identify specific variables. The top six models from the eight machine learning models with the highest AUC values were selected and used to construct a dynamic nomograms model. Model performance was evaluated using ROC and calibration curves. The model's internal performance was then verified in the validation group using ROC and calibration curves.
Results
Data from 2516 patients were collected, with 411 eligible cases selected. By combining logistic regression analysis with six machine learning algorithms, this study identified six predictors associated with PWH: SLSI, albumin, postoperative glucose, CSFL, NEU, and CRP. These predictors were used to develop a prediction model, visually represented through a nomogram. The AUC value in the test group was 0.981, and the C-index of the model was 0.986 (95% CI 0.966–0.995), indicating excellent predictive capability. Calibration curve analysis showed good consistency between nomogram-predicted values and actual measurements.
Conclusion
SLSI, albumin, postoperative glucose, CSFL, NEU and CRP were identified as significant risk factors for PWH after posterior lumbar spinal fusion. The developed prediction model exhibited excellent predictive accuracy and usefulness.
Collecting patient-reported outcome data at different time points via telephone interviews: an exploratory study
Authors: Su Juan , Chen Hexin , Huang Yongjin , He Long , Meng Qingxiang , Wang Lei , Chen Jing , Chen Jeffrey SWL , Yang Zhihao 
Published: October 2024

Abstract

Background
Patient Reported Outcome measurement (PROM) is a key tool for measuring patients’ perception and preference on health status and interventions. As the recent shift towards patient-centered care has put more focus on PROM, more so on cancer treatments. Collecting PROM can be quite challenging and numerous ways is employed to collect PROM more effectively and efficient. Here we try to explore the feasibility of telephone interview on PROM data on different timepoints.
Method
Thirty-five ACC patients were recruited from Sun Yat-Sen University Affiliated Hospital and interviewed using the EQ-5D and EQ-HWB questionnaires, assessing their health status at three time points: pre-surgery (TA), post-surgery (TB), and follow-up (TC). We observe the difference in dimension severity between these different timepoint to check whether we capture relevant health changes from events such as surgery.
Results
Results indicate that telephone interview could be a feasible method to collect PROM data from cancer patient. We were able to contact 35 out of 54 patients, no missing data was present on the collected data. We found statistically significant difference on relevant dimensions between different timepoints.
Conclusion
In conclusion, measuring the quality-of-life outcome of individuals through telephone interviews seems feasible, and some of the results align with our hypothesis. Measuring health status through telephone medium for follow-up could be a potential way to collect patient health data more efficiently and effectively, but further research is expected.