bluuebunny/crossref_metadata_2025_split huggingface dataset:
DIELECTROMETRIC CONTROL OF THE DEGREE OF PREPAREDNESS CRUDE OIL
Authors: Sater Nabil Abdel , Grigorov A. 
Published: December 2022

CRUDE OIL
The article considers the possibility of changing the set of quality indicators that are currently used to determine the degree of readiness of crude oil (oil or gas condensate for the integrated relative dielectric constant) (ε), which characterizes the electrical properties of crude oil and refined products. Сontrol over the operation of crude oil treatment plants, which are of key importance in the chain of technological operations aimed at obtaining marketable petroleum products.
It has been experimentally established that the increase in the value of (ε) is significantly influenced by the presence of formation water in the crude oil, with dissolved chloride salts and semiconductor mechanical impurities, represented by Fe2O3 particles - corrosion products of process equipment. Conversely, the presence of dielectric mechanical impurities in the crude oil (SiO2) reduces the value of the indicator (ε). This, in turn, must be taken into account when establishing the total impact of pollutants on the indicator (ε) of crude oil.
The implementation of the proposed approach is based on the use of two-section capacitive sensors, which are installed on the pipeline with the main material flow of the installation - desalinated and dehydrated crude oil, using outlets and couplings.
Based on laboratory studies using model media, a multiple linear regression equation was obtained, which, depending on the content of mineralized water and mechanical impurities (semiconductor and dielectric nature) in oil or gas condensate, calculates the value (ε) with the average slope at the level of 1.39% and 2.06%, respectively.
EXPERIMENTAL STUDY OF THE REVERSE IMPREGNATION PROCESS WHEN THE PRESSURE DROPS IN THE DEPOSIT
Authors: Poverennyi S. , Fyk I. , Varavina O. , Burova M. , Yatskevych O. 
Published: December 2022

During the development of the deposit, as the gas is extracted, the reservoir pressure drops and water rise begins, that is, the reservoir is impregnated in reverse with bottom water .If the process of water displacing from the reservoir is well understood, then the process of water or hydrocarbon fluid absorbing by the reservoir is relatively poorly studied. The methodological basis for such studiesis also e laborated poorly. This is largely caused by the long duration of the necessary experiments, which in our case amounted to 6 months. In this work, a methodology of sample reverse impregnation with a hydrocarbon fluid was developed at a displacement pressured drop in order to simulate the processes occurring in the developed deposit. As a result of the work, on the basis of the semi-permeable membrane method used in the "drainage-impregnation" mode, the actual existence of the reverse impregnation of a sample by hydrocarbons at a displacement pressured drop is proved on rock collectors samples of the Belsky field productive horizon G-7-10, methodological issues related to the specifics of impregnation with specifically hydrocarbon fluid have been solved, main features of the process have been recognized and its main regularities have been determinate qualitatively. In order to reduce the duration of the study, it is recommended to substitute the semi-permeable membrane method with the centrifugation method at the stage of drainage. The parent theoretical ideas are given, the method of research and the used core material are described briefly, graphs illustrating the conduct of drainage and impregnation processes over time are given, the correlation of the current sample water saturation with the displacement pressure and pore characteristic of the sample, the inferences are enunciated briefly. The results of the carried out work will be used in the study of the processes of gas displacement by oil from oil rims, oil or gas displacement by water, oil and gas mixture displacement during the cycling process, etc.
Comparison of multiball training methods and guided training methods on student learning outcomes in table tennis courses
Authors: Solissa Jonas 
Published: December 2022

The aims of this research are: 1). To find out differences in student learning outcomes in table tennis learning through the application of the Multiball and the Guided method, 2). To find out which method is better between the Multiball and the Guided method for student learning outcomes in Table Tennis courses. The subjects of this research were 32 male students of Physical Education, Sports and Recreation, University of Pattimura for the 2020/2021 Academic Year who offered Table Tennis courses. This research is a type of experimental research using a quantitative descriptive approach. The instrument used for data collection was a table tennis performance test. Based on the results of the research and data analysis, it shows that: 1) There is a difference, but not significant, in the student table tennis learning outcomes after being treated with the Multiball training method and the Guided training method. 2) There is no better method between the Multiball training method and the Guided training method.
Study Investigates Mechanisms for Damage vs. Uplift in Different Basins
Authors: Carpenter Chris 
Published: December 2022

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 22194, “Modeling Frac Hits: Mechanisms For Damage vs. Uplift,” by Garrett Fowler, SPE, Dave Ratcliff, SPE, and Mark McClure, SPE, ResFrac. The paper has not been peer reviewed. Copyright 2022 International Petroleum Technology Conference. Reproduced by permission.

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Parent/child interactions pose a critical challenge for oil and gas shale producers. The industry has progressed significantly in its understanding of causes and mitigation. However, important uncertainties remain. Fracture-driven interactions, or “frac hits,” exhibit varied behaviors in different basins. The authors of the complete paper examine and contrast a case study in the Bakken in which production uplift occurs with observations of production loss in a case study in Oklahoma.

Introduction
Publicly available data on frac hits across the Bakken, Eagle Ford, Haynesville, Woodford, and Niobrara show that, in the Bakken and Haynesville, greater than half the documented frac hits resulted in production uplift in the hit well (parent well). Conversely, in the Woodford and Niobrara, more than half of the frac hits resulted in a negative effect on the parent well. In the Eagle Ford, multiple interactions result in a negative effect on the parent well.
Several studies in the Woodford examined the formation of “gummy bears” in the parent well post-frac hit. This is a colloquial term for a semisolid mixture containing hydrocarbons, sand, iron, fine particles from clay, and, sometimes, amounts of friction reducer. These gummy bears clog or reduce the conductivity of the fracture network downhole in the wells that are hit, reducing the productivity of the well. While other basins have provided evidence of the phenomenon, evidence of gummy bears is absent from many shale basins, particularly those showing production uplift after frac hits.

Methodology
The authors investigate potential mechanisms for production uplift and damage in a fully coupled hydraulic fracture and reservoir simulator. The model captures poroelastic stress response from depletion, multiwell fracture interaction, asymmetric fracture growth, multiphase flow in hydraulic fractures as they are reopened during a frac hit, and proppant remobilization. Numerical models force a self-consistent representation of physics. Every model output is a necessary consequence of a model input.
Potential of Industrial Sludge and Textile Solid Wastes for Biomass Briquettes with Avocado Peels as Binder
Authors: Demeke Eyasu Derbew , Desta Mekonnen Abebayehu , Mekonnen Yedilfana Setarge 
Published: December 2022

Abstract
Producing biomass briquettes from industrial solid wastes is a more environmentally friendly way to provide alternative energy and is essential for Ethiopia to satisfy its growing energy needs while also ensuring efficient waste management in the expansion of industrial parks. The main objective of this study is to produce biomass briquette from a mixture of textile sludge and cotton residue using avocado peels as a binder. Avocado peels, sludge, and textile solid wastes (cotton residue) were collected at Addis Ababa and the Hawassa industrial park. They were then dried, carbonized, and crushed into powder. Briquettes made from the mixture of industrial sludge and cotton residue were combined in various ratios: 100:0, 90:10, 80:20, 70:30, 60:40, and 50:50 with the same amount of binder, avocado peels. Briquettes were then made using hand press mold and sun-dried for two weeks. The results showed that the formed biomass briquettes had moisture contents, calorific values, bulk densities, and burning rates that ranged from 5.03 to 8.04%, 11.19 to 17.2 MJ/kg, 0.21 to 0.41 g/cm3, and 2.92 to 8.75 g/min, respectively. The most effective briquette was proven to be 50:50. The binding and heating value of the briquette was greatly enhanced by introducing avocado peels. Hence, biomass briquette made from sludge and solid wastes using avocado peels binder is a promising source of energy for cooking and heating in homes and small enterprises. Additionally, it can also promote proper waste management and provide young people with employment prospects.
Semi-supervised learning improves regulatory sequence prediction with unlabeled sequences
Authors: Mourad Raphaël 
Published: December 2022

Abstract
Motivation: Genome-wide association studies have systematically identified thousands of single nucleotide polymor-phisms (SNPs) associated with complex genetic diseases. However, the majority of those SNPs were found in non-coding genomic regions, preventing the understanding of the underlying causal mechanism. Predicting molecular processes based on the DNA sequence represents a promising approach to understand the role of those non-coding SNPs. Over the past years, deep learning was successfully applied to regulatory sequence prediction using supervised learning. Supervised learning required DNA sequences associated with functional data for training, whose amount is strongly limited by the finite size of the human genome. Conversely, the amount of mammalian DNA sequences is exponentially increasing due to ongoing large sequencing projects, but without functional data in most cases.
Results: To alleviate the limitations of supervised learning, we propose a paradigm shift with semi-supervised learning, which does not only exploit labeled sequences (e.g. human genome with ChIP-seq experiment), but also unlabeled sequences available in much larger amounts (e.g. from other species without ChIP-seq experiment, such as chimpanzee). Our approach is flexible and can be plugged into any neural architecture including shallow and deep networks, and shows strong predictive performance improvements compared to supervised learning in most cases (up to 70%).
Availability and implementation: https://forgemia.inra.fr/raphael.mourad/deepgnn
Is Metabolic Syndrome a Risk Factors for Precancerous Colonic Lesions?
Authors: Petruzzellis Carlo , Milluzzo Sebastian Manuel , Petruzzellis Nicola , Cesari Pietro 
Published: December 2022

Abstract
Introduction: Metabolic syndrome (MS) is considered a possible risk factor for CRC, also because it affects bowel cleansing. As primary aim, association between MS or each parameter of MS and the prevalence and histology of precancerous colonic lesions (PCL) was examined. The secondary aim was to analyze the impact of these on bowel cleansing.
Methods: In this observational single-center study, all consecutive outpatients, who underwent colonoscopy from May to September 2014, were enrolled. For statistical analysis, patients were collapsed into two groups according to the presence or absence of MS.
Results: 1257 patients were enrolled. MS was a risk factor for serrated lesions in the left colon (3% vs 1.2%; p=0.049). Analyzing MS parameters, only a higher BMI was associated with an increased risk of having an adenoma overall (25% for BMI >30), for colonic lesions in the left colon (RR 30%; p<0.01) and only for adenoma in the right colon (RR 30%; p<0.05). MS was inversely related with bowel cleansing overall and per-segments.
Conclusion: The presence of MS and obesity should be taken into consideration prescribing bowel preparation regimen and also for post-polypectomy surveillance, as these elements should be considered as aggravating cancer risk.
DREEM tool: Perception of learning environment through the eyes of medical students
Authors: Verma Monica , Soni Abhishek , Kumari Asha , Sachdeva Ashuma , Verma Ramesh 
Published: December 2022

Abstract
Background
In the present era of quality accreditation, considering quality of medical education is also very important, especially in developing countries. Since last few years there is massive increase in number of medical colleges in Haryana, India but is this affecting the standard of medical education too? So, the present study was planned to understand the current state of medical education and to explore the perception of medical students of their learning environment so that problem areas can be identified both at the institutional and curriculum level.
Methods
DREEM tool was circulate to all willing participants from first to final year MBBS students. data was collected and analyzed using recent SPSS software. Descriptive statistics were used to calculate mean, standard deviation, minimum and maximum values. one-way analysis of variance (ANOVA) was calculated, and p < 0.05 was considered to be significant.
Results
An overall score of 111.76 (55.88%) out of 200 was obtained indicating ‘more positive than negative’. The overall mean score was 2.21 ± 0.58, which is interpreted as ‘educational aspect that could be enhanced’. Out of five domains, students’ perception of teachers scored maximum (57.95%) rating while students’ social self-perception scored the least (49.35%). The relationship between students and domain is insignificant for teachers, academic, and sociality (p-value = 0.088, 0.290, and 0.30) but significant for learning and atmosphere (p-value = 0.039 and 0.018)
Conclusions
Overall institute is propagating in right direction but as per feedback obtained by students, it seems that there is decline in quality of medical education with increase in number of medical colleges. There is urgent need of training and retraining of teachers and DREEM scoring survey should be adopted in all medical colleges as annual scoring system so that level of medical education could be elevated.
Trial registration:
CTRI/2020/07/026665 [Registered on: 17/07/2020] - Trial Registered Prospectively
A Convex Selective Segmentation Model based on a Piece-wise Constant Metric Guided Edge Detector Function
Authors: Khan Muhammad Shahkar , Ali Haider , Zakarya Muhammad , Tirunagari Santosh , Khan Ayaz Ali , Khan Rahim , Ahmed Aftab , Rada Lavdie 
Published: December 2022

Abstract
The challenge of segmentation for noisy images, especially those that have light in their backgrounds, is still exists in many advanced state-of-the-art segmentation models. Furthermore, it is significantly difficult to segment such images. In this article, we provide a novel variational model for the simultaneous restoration and segmentation of noisy images that have intensity inhomogeneity and high contrast background illumination and light. The suggested concept combines the multi-phase segmentation technology with the statistical approach in terms of local region knowledge and details of circular regions that are, in fact, centered at every pixel to enable in-homogeneous image restoration. The suggested model is expressed as a fuzzy set and is resolved using the multiplier alternating direction minimization approach. Through several tests and numerical simulations with plausible assumptions, we have evaluated the accuracy and resilience of the proposed approach over various kinds of real and synthesized images in the existence of intensity inhomogeneity and light in the background. Additionally, the findings are contrasted with those from cutting-edge two-phase and multi-phase methods, proving the superiority of our proposed approach for images with noise, background light, and inhomogeneity.
Single-material MoS2 thermoelectric junction enabled by substrate engineering
Authors: Kasirga Talip , Razeghi Mohammadali , Spiece Jean , Oğuz Oğuzhan , Pehlivanoğlu Doruk , Huang Yubin , Sheraz Ali , Dobson Phillip , Weaver Jonathan , Gehring Pascal 
Published: December 2022

Abstract
To realize a thermoelectric power generator, typically a junction between two materials with different Seebeck coefficient needs to be fabricated. Such difference in Seebeck coefficients can be induced by doping, which renders difficult when working with two-dimensional (2d) materials. Here, we employ substrate effects to form a thermoelectric junction in ultra-thin few-layer MoS2 films. We investigated the junctions with a combination of scanning photocurrent microscopy and scanning thermal microscopy. This allows us to reveal that thermoelectric junctions form across the substrate-engineered parts. We attribute this to a gating effect induced by interfacial charges in combination with alterations in the electron-phonon scattering mechanisms. This work demonstrates that substrate engineering is a promising strategy to develop future compact thin-film thermoelectric power generators.
Abnormal obstetric shock index and associated factors among immediate postpartum women following vaginal delivery at a tertiary hospital in Southwestern Uganda
Authors: Agaba David Collins , Lugobe Henry Mark , Migisha Richard , Jjuuko Mark , Saturday Pascal , Kisombo Dean , Atupele Subira Mlangwa , Kirabira Justus , Tumusiime Matthew , Katamba Godfrey , Mugyenyi Godfrey , Masembe Sezalio , Kayondo Musa , Ngonzi Joseph 
Published: December 2022

Abstract
Background
Early recognition of haemodynamic instability after birth and prompt interventions are necessary to reduce adverse maternal outcomes due to postpartum haemorrhage. Obstetric shock Index (OSI) has been recommended as a simple, accurate, reliable, and low-cost early diagnostic measure that identifies hemodynamically unstable women.
Objectives
We determined the prevalence of abnormal obstetric shock index and associated factors among women in the immediate postpartum period following vaginal delivery at Mbarara Regional Referral Hospital (MRRH) in southwestern Uganda.
Methods
We conducted a cross-sectional study at the labour suite and postnatal ward of MRRH from January 2022 to April 2022. We systematically sampled women who had delivered vaginally, and measured their blood pressures and pulse rates at 1 hour postpartum. We excluded mothers with hypertensive disorders of pregnancy. Sociodemographic, medical and obstetric data were obtained through interviewer-administered questionnaires. The prevalence of abnormal OSI was the proportion of participants with an OSI ≥ 0.9 (calculated as the pulse rate divided by the systolic BP). Logistic regression analysis was used to determine associations between abnormal OSI and independent variables.
Results
We enrolled 427 women with a mean age of 25.66 ± 5.30 years. Of these, 83 (19.44%), 95% CI (15.79–23.52) had an abnormal obstetric shock index. Being referred [aOR 2.34, 95% CI (1.41–3.89), p = 0.001], having had an episiotomy/perineal laceration [aOR 1.90, 95% CI (1.15–3.13), p = 0.012] and having a visually estimated blood loss > 200 mls [aOR 1.78, 95% CI (1.06–3.01), p = 0.028] were significantly associated with abnormal OSI.
Conclusion
Approximately one in every five women who delivered vaginally at MRRH during the study period had an abnormal OSI. We recommend that clinicians have a high index of suspicion for haemodynamic instability among women in the immediate postpartum period. Mothers who are referred in from other facilities, those that get episiotomies/perineal lacerations and those with estimated blood loss > 200mls should be prioritized for close monitoring.
Rock Varnish: A Nature’s Shield
Authors: Chaddha Amritpal Singh , Sharma Anupam , Singh Narendra Kumar , Patel Devendra Kumar , Satyanarayana G.N.V. 
Published: December 2022

Abstract
Bare rock surfaces in dry to semi-arid places of the world usually have a black-brown, metallic sheen covering known as "rock/desert varnish." Rock varnishes are naturally occurring surface textures rich in Mn and Fe that are deposited on rocks. The varnish surface looks to be an ideal environment for microbial development. The function of bacteria in varnish formation, on the other hand, is currently being debated. Therefore, researchers throughout the world have long been interested in the biogeochemical fingerprints of life in severe settings, and the identification of organic entities is an important aspect of the quest for early life in extreme circumstances. High-altitude Ladakh, one of the world's harshest dry deserts, was chosen as the study's sample location due to its severe climatic circumstances. The current study illustrates significant microbial fingerprinting using organic biomarkers and isotopic analyses in conjunction with electron microscopy, revealing the presence of organic metabolites such as fatty acids, alkyl benzenes, oxime, amide, and fatty acids on the varnish layer as a result of mineral-microbial interactions. We propose for the first time that how change in surface wettability characteristics from hydrophilic (in host rock) to hydrophobic (in varnish) allowed microbial life to thrive in extreme environments. The current work provides evidence for a long-standing question about microbial affinity for the varnish layer and illustrates the significance of hydrophobicity in the varnish layer as a crucial component for understanding biogeochemical processes related to varnish growth.
Predictors for hemostatic thrombin-gelatin matrix usage in spine surgery: A multicenter observational study
Authors: Kato So , Miyahara Junya , Matsubayashi Yoshitaka , Taniguchi Yuki , Doi Toru , Kodama Hiroyasu , Higashikawa Akiro , Takeshita Yujiro , Fukushima Masayoshi , Ono Takashi , Hara Nobuhiro , Azuma Seiichi , Iwai Hiroki , Oshina Masahito , Sugita Shurei , Hirai Shima , Masuda Kazuhiro , Tanaka Sakae , Oshima Yasushi 
Published: December 2022

Abstract
Study design. A prospective cohort study. Objectives. Thrombin-gelatin matrix (TGM) is a rapid and potent hemostatic agent, but it has some limitations, including the cost and its preparation time. The purpose of this study was to investigate the current trend in the use of TGM and to identify the predictors for TGM usage in order to ensure its proper use and optimized resource allocation. Methods. A total of 5520 patients who underwent spine surgery in a multicenter study group within a year were included in the study. The demographic factors and the surgical factors including spinal levels operated, emergency surgery, reoperation, approach, durotomy, instrumented fixation, interbody fusion, osteotomy, and endoscopy were investigated. TGM usage and whether it was routine or unplanned use for uncontrolled bleeding were also checked. A multivariate logistic regression analysis was used to identify predictors for unplanned use of TGM. Results. The mean age was 63.5 years old, and males accounted for 59.9% of patients. The mean operation time was 147 minutes, median blood loss was 50mL, and interquartile range was 145mL. Intraoperative TGM was used in 1934 cases (35.0%), among which 714 were unplanned (12.9%). Predictors of unplanned TGM use were female gender, cervical spine, tumor, posterior approach, durotomy, instrumentation, osteotomy, and endoscopy. Conclusions. Many of the predictors for unplanned TGM use have been previously reported as risk factors for intraoperative massive hemorrhaging and blood transfusion. However, other newly revealed factors can be predictors of bleeding that is technically challenging to control.