bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digitalization as a determinant of transformation of the real sector of the economy of the macroregion (using the example of the North Caucasus Federal District)
Authors: Batov G. Kh. 
Published: April 2024

Purpose: is to study of the processes of digitalization and digital transformation of the real sector of the economy of the regions of the North Caucasus Federal District. Methods: the methodological basis of the study was the concept of the digital economy, the theoretical principles of supply-side economics, the systems approach, trend analysis and predictive analytics. The study is based on the use of the methods of economic and statistical analysis, scientifi c abstraction, analogies and scientifi c generalizations. The methods used are characterized by validity and show a high degree of eff ectiveness. Results: digitalization and digital transformation processes are underway in the North Caucasus Federal District, but the pace remains low. To accelerate these processes, it is necessary to solve two interrelated problems: fi rstly, to materialize the processes of digitalization and digital transformation in the real sector of the economy of the regions of the federal district, and secondly, to train personnel in certain specialties who can eff ectively operate digital technologies. In the fi rst case, it is possible to use the model of catch-up development at the regional level, which will make it possible to implement the principle of “advantage of backwardness” and use the accumulated global and regional experience in the transition to the modern trends in the operation of digital technologies. In the second case, it is proposed to organize special centers in the subjects of the district for retraining digital technologies specialists with the necessary competencies and/or advanced training with the issuance of the confi rming certifi cates. Such centers could train exclusive specialists at the request of enterprises or engage in refresher training and retraining of the necessary specialists. The creation of the centers is possible on the basis of public-private partnership. Conclusions and Relevance: the main task of the digital transformation of industry is considered to be the modernization of production process management, which will lead to the signifi cant increase in labor productivity. To implement such a scenario, the economic entities in the regions of the North Caucasus Federal District need to move away from the traditionalist approaches that take place in the organization and management of enterprises, and switch to the processes of digitalization and digital transformation of the real sector of the economy of the district.
Formation of the model for the commercialization of the company's digital intellectual assets
Authors: Loseva O. V. 
Published: April 2024

Purpose: of the study is algorithmic modeling of the commercialization of digital intellectual assets (CIAS), taking into account pricing factors, risk and the level of commercial potential, based on the identifi cation of CIAS and determination of their specifics. Methods: general scientific methods of comparative analysis, systematization and generalization, identifi cation of distinctive features and price-forming factors that take into account the specifics of the objects of research are used. To form a model of the commercialization of digital intellectual assets, the algorithmic approach, the method of expert assessments in calculating the indicator of commercial potential, approaches and methods of valuation in determining the initial value of assets were used.Results: the author formulated the defi nition of a digital intellectual asset (DIA), establishes its relationship with related categories of assets, identifi es two categories of DIA indicating common and distinctive properties. Based on the results of the identifi cation of DIA, the factors aff ecting the value and commercial potential of various types of DIA are determined. The method for calculating the indicator of the commercial potential, taking into account the factors considered, is proposed. The tools of the commercialization, as well as approaches and methods of estimating the initial cost for various categories of DIA are disclosed. The algorithmic model of the DIA commercialization is constructed. Conclusions and Relevance: the algorithmic model of commercialization of new types of assets, digital intellectual assets, proposed in the article takes into account their specifi cs and factors aff ecting the initial cost and commercial potential. The model can be used by Russian companies to increase their competitiveness in the context of the development of the digital rights and technologies market. Further research should be devoted to the specifi cation of the commercialization algorithm for certain categories of DIA: 1) intellectual property objects in digital form; 2) digital (digital utilitarian) rights to such objects and their use, implemented exclusively according to the rules of the information system (investment platform).
Construction of short-term forecast of the number of railcars at the stations and non-public routes. Results and analysis
Authors: Lamehov Vladimir , Korovyakovskiy Evgeny 
Published: April 2024

Objective: collect raw data for building predictive models. Analyze the initial data, identify data outliers and outliers, divide the data into time intervals, calculate correlation coefficients, partial autocorrelation, cross-correlation, analyze the trend and seasonality of the obtained time series. Using autoregressive models, machine learning models, neuro-fuzzy models to build forecasts of time series and determine the quality of the obtained forecasts. Methods: point density, autocorrelation, partial autocorrelation, cross-correlation, Foster-Stewart test, Dickey-Fuller test, ARMA, MLP, Encoder-Decoder LTSM, TSK, Fuzzy-Partitions, SCRG, Transformers. Results: we obtained estimates of the prediction accuracy of the selected models, compared the results of the predictive models trained on different samples of initial data. Conclusions are made about the efficiency and methods of building predictive models. Practical significance: the
significance of building accurate predictive models for the key quantitative indicators of stations and nonpublic routes operation is shown. The factors influencing the accuracy of the obtained forecasts are analyzed.
Water-in-Oil Emulsion Temporal and Spatial Evolution at Static Conditions and Its Impact on Pipeline Restart
Authors: Zhou Denghong , Karatayev Kanat , Fan Yilin 
Published: April 2024

Summary
Understanding emulsion evolution at static conditions is crucial for production operations, such as pipeline operations during the shut-in and restart process and separator optimal design. This study experimentally investigated the temporal and spatial evolution of water-in-oil emulsion properties under static conditions. Numerical simulations were conducted to study their impacts on pipeline restart operations.
The experiments were conducted in graduated glass cylinders, with mineral oil and tap water as the testing fluids and Span® 80 as the surfactant. Different water cuts, mixing speeds, and surfactant concentrations were investigated. Along with idle time at static conditions, the mixture demonstrated two layers, namely an upper oil layer and a lower emulsion layer, except for the lowest surfactant concentration that gave a third additional free-water layer at the bottom. Experimental results showed a dramatic increase in viscosity in the emulsion layer with time and depth, which was closely related to the increase in the water volumetric fraction. The increase rate slowed down and plateaued out with time. The increase rate is also related to water cut, mixing speed, and surfactant concentration. Experimental results also show that the relationships between the viscosity and water cut for separated emulsion follow the master curve of viscosity and water cut for homogeneous emulsion. This suggests that one can estimate the viscosity using the master curve given the water volumetric fraction.
The numerical simulation was conducted for pipelines with a valley configuration and with the fluid properties obtained from the experimental measurements. It demonstrates that a higher pressure is required to restart the flow to the original flow rate. It also shows that the flow rate may not be able to resume its original value given the same pressure boundaries due to the accumulation of dense emulsion layers in the horizontal and upward inclined sections. For example, for a 16-m pipe, the flow cannot be restarted given the same inlet pressure (100 Pa). It can only resume 4.6% of the original flow rate when the pressure is elevated to 300 Pa.
Low SLCO4C1 expression serves as an independent prognostic predictor in lung cancer
Authors: Wen Liangtao , Xie Lixiang , Liu Qichang , Zhang Shunan , Chen Zhuoman , Hu Jing , Gong Fengying 
Published: April 2024

Abstract
Lung cancer is a significant global health concern, accounting for 18.4 percent of all cancer-related deaths, imposing substantial social and economic burdens. We explored SLCO4C1 as a potential prognostic marker in lung cancer. Analyzing The Cancer Genome Atlas (TCGA) data, we assessed SLCO4C1 expression using boxplot analyses. Chi-square and Fisher's test evaluated associations with clinicopathological features, and diagnostic capacity was determined the receiver-operating characteristic (ROC) curve analysis. Kaplan-Meier survival curves assessed survival differences based on SLCO4C1 levels. Cox regression models and subgroup analyses examined prognostic factors. Our findings reveal significant downregulation of SLCO4C1 in lung cancer tissues, with correlations to patient gender, histological type, and T classification. ROC analysis indicated moderate diagnostic potential. Survival analysis demonstrated lower overall and relapse-free survival rates in patients with low SLCO4C1 expression. Univariate and multivariate Cox regression analyses suggested SLCO4C1 as an independent prognostic predictor for lung cancer. In conclusion, low SLCO4C1 expression serves as an independent prognostic biomarker in lung cancer, offering promise for prognostic and therapeutic applications.
Recurrent Retinal Detachment in Stickler Syndrome
Authors: Chen Timothy , Fooladi Marjan , Alabek Michelle , Scanga Hannah , Tripi Kelly , Nischal Ken , Martel Joseph 
Published: April 2024

Abstract

Objective
To assess clinical factors leading to recurrent retinal detachment (RD) and characteristics of recurrence in patients with Stickler Syndrome.
Methods
Retrospective case series study of patients with clinical diagnosis of Stickler Syndrome who underwent rhegmatogenous RD repair. Recurrent RD after initial surgery was categorized as “early” if the recurrence was within 1 year or “late” if greater than 1 year.
Results
Thirty eyes from 22 patients underwent rhegmatogenous RD repair. For initial repair, 13 eyes underwent pars plana vitrectomy combined with scleral buckling (PPV/SB), 16 eyes underwent primary scleral buckling (SB), and 1 eye underwent pneumatic retinopexy (PnR). Recurrent RD occurred in 6 (46%) PPV/SB eyes (5 early and 1 late), 10 (63%) SB eyes (3 early and 7 late), and 0 (0%) PnR eyes (p = 0.61). PPV/SB was preferred for eyes presenting with total detachment (82%), giant retinal tears (100%), and proliferative vitreoretinopathy (PVR) (80%). For eyes with early recurrent RD, 6 (75%) developed PVR leading to recurrence. For eyes with late recurrent RD, 7 (87.5%) developed a new retinal break leading to recurrence, including 4 with a break posterior to the buckle indentation apex. At last follow-up, median LogMAR visual acuity was 0.68 for eyes with recurrent RD compared to 0.29 for eyes without recurrence (p = 0.27).
Conclusions
Early recurrent RD was mostly caused by PVR, while late recurrent RD was mostly due to new retinal breaks. Eyes with seemingly uncomplicated rhegmatogenous RD repair with primary SB remained at high risk for late re-detachment.
Design and Pilot Study of a High-Fidelity Medical Simulation of a Hospital-Wide Cybersecurity Attack
Authors: Marsh-Armstrong Brennan , Pacheco Fernanda , Dameff Christian , Tully Jeffrey 
Published: April 2024

Abstract

Background: Cybersecurity incidents affecting hospitals have grown in prevalence and consequence over the last two decades, increasing the importance of cybersecurity preparedness and response training to minimize clinical disruptions. This work describes the development, execution, and post-exercise assessment of a novel simulation scenario consisting of four interlocking intensive care unit (ICU) patient scenarios. This simulation was designed to demonstrate the management of acute pathologies without access to conventional treatment methods during a cybersecurity incident in order to raise clinician awareness of the increasing incidence and patient safety implications of such events.
Methods: The simulation was developed by a multidisciplinary team of physicians, simulation experts, and medical education experts at UCSD School of Medicine. The simulation involves the treatment of four patients, respectively experiencing postoperative hemorrhage, end stage renal disease, diabetic ketoacidosis, and hypoxic respiratory failure, all without access to networked medical resources. The simulation was first executed as part of the proceedings of CyberMed Summit, a healthcare cybersecurity conference in La Jolla, California, on November 19th, 2022. Following the simulation, a debrief session was held with the learner in front of conference attendees, with additional questioning and discussion prompted by attendee input.
Results: Though limited to a single subject by the pilot-study nature of this research, the physician learner successfully identified the acute etiologies and managed the patients’ acute decompensations while lacking access to the hospital’s electronic medical records (EMRs), laboratory results, imaging, and communication systems. Review of footage of the event and post-experience interviews yielded numerous insights on the specific physician-focused challenges and possible solutions to a hospital-infrastructure-crippling cyber attack.
Conclusion: Healthcare cybersecurity incidents are known to result in significant disruption of clinical activities and can be viewed through a patient-safety oriented perspective. Simulation training may be a particularly effective method for raising clinician awareness of and preparedness for these events, though further research is required.
How to Control Unpredictable Others in Court-net Sports
Authors: Yamamoto Yuji , Yokoyama Keiko , Kijima Akifumi , Okumura Motoki , Shima Hiroyuki 
Published: April 2024

Abstract

Competition in sports, unlike cooperation in everyday life, does not involve a single solution because individuals aim to behave unpredictably, thereby preventing others from predicting their actions. This study determined how individuals in court-based sports attempted to control others’ unpredictable behaviors, addressing the gap in previous studies regarding the lack of clarity around strategies employed by individuals in competitive situations. We achieved this by applying a switching hybrid dynamics model, considering external inputs to analyze individual behaviors. Consequently, the study indicates that skilled individuals, in contrast to intermediate players, exhibit greater consistency in their behaviors. These skilled individuals lead others to anticipate their consistency and subsequently employ strategies to disrupt these expectations. This strategy exploits the principles of active human inference, implying that competition involves cooperation. This was revealed by an analysis of both human decision-making and behavior in actual matches as discrete and continuous dynamical systems. This interpersonal strategy could assist policymakers in the field of everyday life to enhance competitiveness. This strategy enables policymakers to adopt new policies that promote cooperation with competitors, ultimately increasing competitiveness in various aspects of our daily lives.
REE Signatures in Quaternary Deposits: Implication for Provenance and Economic Potentials
Authors: Fakolade Richard Omotoso , Ikhane Phillips Rueben , Hao Qinghzen , Ajibade Olumuyiwa Michael , Olisa Olusegun Gbenga , Oyebolu Olalekan Olayiwola 
Published: April 2024

Abstract

The Rare Earth Element (REE) geochemistry of siliciclastic sediment in the Ilaje area, eastern Dahomey basin, southwestern Nigeria was conducted to determine the provenance, their geotectonic setting as well the REE economic potential in the sediments. One hundred (100) samples were collected at various locations within the study area and digested using dilute HCl, HNO3, and other reagents; and evaluated with High Resolution Inductively Coupled Plasma-Mass Spectrometry. Geochemical analysis results (ppm) revealed concentration ofLa varies from 1.87–21.47 while Ce ranges from 1.16–45.98.Others include; Pr (1.07–39.56), Nd (0.71–26.02), Sm (0.42–12.51), Eu (0.20–4.66), Gd (0.27–8.79), Tb (0.29–3.97), Dy(0.28–3.62), Ho (0.22–2.76), Er(0.29–2.64), Tm (0.33–3.83), Yb(0.37–3.75) and Lu (0.29–3.03) respectively whileThe ∑REE ranges from 2.25 to 6686.75ppm. The REE normalization plot is characterized by an inclined shape which indicates a trend of depletion. The patterns show an enhancement of the Light Rare Earth Elements (LREE) and of the Heavy Rare Earth Element (HREE) indicating an upper continental crust sourced materials. The plot also revealed a negative Eu anomaly which may be associated with plagioclase fractionation in the acidic source rocks. The high ∑REE in the sediments has uncovered the economic potential of the sediments as a useful raw material resource for technological advancement.
Morphological and molecular characterization of Ixodid ticks infesting cattle in western India
Authors: Patel Jeemi Arbindbhai , Kumar Binod , Thakre Bhupendrakumar Jamsubhai , Brahmbhatt Nilima Nayankumar , Maharana Biswa Ranjan , Singh Vivek Kumar 
Published: April 2024

Abstract

Ticks are well known for its potential as vectors second only to mosquitoes. They are considered to be the important vectors of many disease-causing pathogens in domesticated animals as well as in humans. For any strategic control of pest or pathogens, their identification and epidemiological knowledge is very much essential. Accordingly, a total of 860 cattle were examined from more than 100 farms, Gausalas and Panjrapoles in four districts of western India where 46.05% (n=396) cattle were found to be infested with ticks. The collected tick samples were examined under stereo-zoom microscope and ticks were identified morphologically as eitherHyalommaanatolicumorRhipicephalus microplus. Which was further confirmed by PCR assay targeting cytochrome c oxidase subunit I (cox1) gene followed by sequence analysis. The interspecific divergence between current isolates ofHy. anatolicumandR. micropluswas 20.9%. The wider range of intraspecific divergence was recorded inR. microplus(0 - 11.7%) compared toHy. anatolicum(0 -1.6%), globally. In phylogenetic analysis Indian isolates ofR. microplusclustered withR. microplusclade C. Additionally, a more applicable test,In-silicofollowed by PCR-RFLP restriction enzyme analysis, was employed to differentiate between the two tick species. Among the total 396 tick infested cattle, significantly higher (p<0.001) number of cattle were found to be infested withH. anatolicum(70.96%, n=281) as compared toR. microplus(51.77%, n=205) whereas, 22.73% (n=90) cattle were found to be infested with mixed tick infestation of both. The study indicate thatHy. anatolicumandR. microplusticks of western region of India is same as other parts of country.
Evaluation of the genetic architecture of human blood metabolites on sudden cardiac arrest: A Mendelian randomization analysis
Authors: Tang Xisha , Zhuang Hui Jia , Yu Hai 
Published: April 2024

Abstract
Background
Previous studies supported metabolic disturbances in sudden cardiac arrest (SCA) patients. Still, the evidence about the causal role of metabolites in SCA is lacking. We investigated the causality between the two, aiming at providing novel targets for SCA prevention.
Methods
We performed a bidirectional two-sample Mendelian randomization (MR) analysis based on genome-wide association study (GWAS). The summary dataset for 1,091 metabolites and 309 metabolite ratios was obtained from a GWAS including 8,299 participants. The summary datasets for SCA were obtained from the FinnGen consortium (ncases =2,308 and ncontrols =191,924) and the meta-analysis (ncases =3,939 and ncontrols =25,989), respectively. Sensitivity analyses were performed for the assessment of horizontal pleiotropy and heterogeneity. In order to fully verify the causality, we also used Steiger test, linkage disequilibrium score regression (LDSC), and multivariable MR (MVMR).
Results
Through inverse variance weighted (IVW) and sensitivity analysis filtration, five metabolites and one metabolite ratio with causal effects on SCA were identified from the FinnGen consortium, except for one of the metabolites categorized as unknown. After excluding biased SNPs, the causality still remained significant for [N2,N5-diacetylornithine (odds ratio (OR) = 1.12, 95% confidence interval (CI) = 1.02–1.22, P = 0.019), ascorbic acid 3-sulfate (OR = 1.16, 95% CI = 1.04–1.30, P = 0.009), uridine to pseudouridine ratio (OR = 1.21, 95% CI = 0.598–0.930, P = 0.009)]. These metabolites still remained significant associations with SCA when combined with the SCA GWAS of meta-analysis.
Conclusions
This MR study presented a unique perspective that might support the causal relationships between human blood metabolites and SCA, offering valuable opportunities to enhance screening, prevention, and therapeutic strategies for SCA. (253)