bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reservoir production capacity prediction of Zananor field based on LSTM neural network
Authors: Liu Jiyuan , Wang Fei , Zhang ChengEn , Zhang Yong , Li Tao 
Published: November 2023

Abstract
This paper aims to explore the application of artificial intelligence in the petroleum industry, with a specific focus on the prediction of oil well production. Using the Zananor Field as a case study and leveraging several years' worth of monthly oil production data, experiments were conducted to establish Long Short-Term Memory (LSTM) neural network models to accurately forecast monthly oil production in the field. In this study, the raw data was meticulously organized, and distinctions were made between different wells and their respective production stages. Additionally, data normalization was performed. Initially, a univariate LSTM neural network model was constructed, utilizing monthly oil production data as the input to predict the monthly oil output in the experimental oil field. Furthermore, a multivariate LSTM neural network model was introduced, utilizing various production data sets as inputs to enhance the accuracy of monthly oil production forecasts. To further enhance predictive accuracy, two different feature selection methods were compared in the experiments: Grey Relational Analysis and Principal Component Analysis. The experimental results revealed that the multivariate model outperformed the univariate model in terms of prediction accuracy, making it more suitable for forecasting monthly oil production. Furthermore, the experiments demonstrated that Grey Relational Analysis exhibited higher accuracy in feature selection and greater applicability compared to Principal Component Analysis, rendering it a more viable option. These research findings provide valuable guidance for production forecasting and operational optimization within the petroleum industry.
Polypeptide additives for improving the performance of microbially induced calcite precipitation (MICP) sand consolidation
Authors: Wang Daming , Chen Liuxia , Song Yuqi , Fang Hao , Feng Youzhi , Zhao Chen , Song Xiangyang 
Published: November 2023

Abstract

Recognizing the limitations of Microbially Induced Calcite Precipitation (MICP) for sand consolidation, particularly the insufficient mechanical strength and the uneven distribution of precipitated calcite, our research takes an innovative approach. For the first time, we compare the potential of various polypeptide additives, including polylysine, polyaspartic acid, and polyglutamic acid, to enhance the MICP process. The optimal polypeptide was determined as polylysine, which could increase sand samples’ unconfined compressive strength (UCS) by 35.03% after MICP treatment. The optimal polylysine concentration is 100 mg/L, and the cementing liquid cost increased by only 3%. When the polylysine concentration exceeded 100 mg/L, the UCS of sand-solidified samples decreased. Environmental scanning electron microscope (ESEM) images showed that calcium carbonate and sand were bonded more tightly with polylysine added, and the distribution of calcium carbonate was uniform in the sand samples treated by MICP. X-ray diffractometer (XRD) showed calcium carbonate’s crystal form is calcite. This research signifies a crucial step forward in optimizing MICP for sand consolidation, potentially transforming applications in construction, geotechnical engineering, and environmental remediation.
Lessons learned from COVID-19: improving breast cancer care post-pandemic from the patient perspective
Authors: Myers Charlotte , Bennett Kathleen , Cahir Caitriona 
Published: November 2023

Abstract

Background Since the onset of the pandemic, breast cancer (BC) services have been disrupted in most countries. The purpose of this qualitative study is to explore the unmet needs, patient-priorities, and recommendations for improving BC healthcare post-pandemic for women with BC and to understand how they may vary based on social determinants of health (SDH), in particular socio-economic status (SES). Methods Thirty-seven women, who were purposively sampled based on SDH and previously interviewed about the impact of COVID-19 on BC, were invited to take part in follow-up semi-structured qualitative interviews in early 2023. The interviews explored their perspectives of BC care since the easing of COVID-19 government restrictions, including unmet needs, patient-priorities, and recommendations specific to BC care. Thematic analysis was conducted to synthesize each topic narratively with corresponding sub-themes. Additionally, variation by SDH was analysed within each sub-theme. Results Twenty-eight women (mean age = 61.7 years, standard deviation(SD) = 12.3) participated in interviews (response rate = 76%). 39%(n = 11) of women were categorized as high-SES, while 61%(n = 17) of women were categorized as low-SES. Women expressed unmet needs in their BC care including routine care and mental and physical well-being care, as well as a lack of financial support to access BC care. Patient-priorities included: developing cohesion between different aspects of BC care; communication with and between healthcare professionals; and patient empowerment within BC care. Recommendations moving forward post-pandemic included: improving the transition from active to post-treatment; enhancing support resources; and implementing telemedicine where appropriate. Overall, women of low-SES experienced more severe unmet needs, which in turn resulted in varied patient-priorities and recommendations. Conclusion As health systems are recovering from the COVID-19 pandemic, the emphasis should be on restoring access to BC care and improving the quality of BC care, with a particular consideration given to those women from low-SES, to reduce health inequalities post-pandemic.
The differential bundles of the geometric tangent category of an operad
Authors: Lanfranchi Marcello 
Published: November 2023

Abstract

Affine schemes can be understood as objects of the opposite of the category of commutative and unital algebras. Similarly, 𝒫-affine schemes can be defined as objects of the opposite of the category of algebras over an operad 𝒫. An example is the opposite of the category of associative algebras. The category of operadic schemes of an operad carries a canonical tangent structure. This paper aims to initiate the study of the geometry of operadic affine schemes via this tangent category. For example, we expect the tangent structure over the opposite of the category of associative algebras to describe algebraic non-commutative geometry. In order to initiate such a program, the first step is to classify differential bundles, which are the analogs of vector bundles for differential geometry. In this paper, we prove that the tangent category of affine schemes of the enveloping operad 𝒫(𝐴) over a 𝒫-affine scheme 𝐴 is precisely the slice tangent category over 𝐴 of 𝒫-affine schemes. We are going to employ this result to show that differential bundles over a 𝒫-affine scheme 𝐴 are precisely 𝐴-modules in the operadic sense.
Valuation and Valorization of volaille’s wastes in fabrication of calcium carbonate (CaCO3) and collagen from egg shells: waste recycling.
Authors: Rouabhi Rachid , Ziani Nihal , Abbassi Anfel , Zouaoui Sara , Bouzenzana Sarra 
Published: November 2023

Abstract
Around the world, large quantities of eggs are consumed in a variety of ways, producing enormous numbers of eggshells. These eggshells may wind up in landfills, rivers, or coastal waters, which may have an adverse effect on people's health, contaminate water supplies, or otherwise harm the environment. Additionally, in recent years, particular attention has been paid to industrial sectors that pollute the environment. Eggshells have some organic membranes and contain a lot of CaCO3, although they are typically regarded as garbage. ES comprise roughly 95% calcium carbonate, and the ES membrane's fibrils are primarily made of proteins, around 10% of which are collagen (types I, V, and X). Due to the versatility of both calcium carbonate and collagen in many fieldssuch as medicine, pharmaceutic, alimentation and cosmetic. In this study, we used waste eggshell as raw material to extract calcium carbonate and collagen as bio and natural products, in this study we gave an attempt to reduce waste eggshell, including environmental pollution, in order to preserve our health and achieve the zero-waste rule. One (1) kg of eggshell collected from two different restaurants, we used just 100g of the extern membrane to extract CaCO3 and 50g from the inner membrane to extract collagen. The eggshells were cleaned and sterilized, both membranes were separated manually. The outer membrane was ground and mixed with 10% of acetic acid in order to extract CaCO3. The inner membrane went through two stages, the first one is the pre-treatment to remove impurity such as soluble non-collagenous compound, lipids, pigments and aftertaste. The second one is the extraction step of collagen by 0.5M of citric or acetic acid. In this study, the presence of calcium carbonate content in ES was determined by back titration. The result of this study was high yield of pure material of CaCO3 and collagen, the rest of the details and information you will get through the upcoming papers.
Corrosion Behavior and Cellular Automata Simulation of Carbon Steel in Salt-Spray Environment
Authors: Teng Yingxue , Qing Hong , Liu Jin , Shao Qianxi , Zhang Xiqing , Chen Shuweng , Zhang Dazhen , Bao Shuo 
Published: November 2023

Abstract
Scanning electron microscope (SEM) and X-ray diffraction (XRD) were used to discuss the corrosion loss and morphology of the pit and rust layer of carbon steel. It was found that the corrosion process is largely influenced by the cyclic shedding of surface corrosion products, in addition to being controlled by the mechanism of oxide film shedding and pit evolution. A new corrosion mechanism (the mechanism of rust layer shedding) is proposed. As a result, in this paper, the corrosion process of the test steel is simulated by the cellular automata. It was set up that the mechanism of oxide film shedding, the mechanism of pit evolution, and the mechanism of rust layer shedding in Cellular Automata Simulation. The optimal time ratio and simulation parameters were found, and a predictable cellular automata corrosion simulation model was built, providing a solution for carbon steel's service life prediction.
Effects of Bottle-Feeding Practice on Undernutrition Among Children 6 to 23 Months Old in Bole Sub-City Health Centers, Addis Abeba, Ethiopia: Unmatched Case-Control Study
Authors: Tukeni Kedir Negesso , Jibicho Kelil Hussein , Roba Kedir Teji 
Published: November 2023

Abstract

Background
Nowadays, both metropolitan areas of underdeveloped countries and the industrialized world use bottles to feed babies. Particularly in developing nations like sub-Saharan Africa, this practice is linked to an increased risk of diarrheal illnesses. In Bole Sub-City Health Centers in Addis Ababa, Ethiopia, this study was carried out to assess the impact of bottle-feeding practice on undernutrition in children aged 6–23 months.
Objective
Therefore, the goal of this study was to determine the prevalence of bottle feeding and its effects on undernutrition and the risk of developing diarrheal infections in children aged 6 to 23 months in Bole, Addis Abeba, Ethiopia.
Methods
A facility-based unmatched case-control study was carried out in Bole, Addis Abeba, Ethiopia, from November 1 to October 30, 2020. 162 mothers who had children between the ages of 6 and 23 months were used to recruit a total of 52 cases and 103 controls (1:2 ratios). With the aid of a multivariable binary logistic regression model, bottle-feeding effects were discovered. Bottle feeding was determined to be significantly linked with variables.
Results
53.8% of the total 52 cases were wasted, compared to 29.1% of the controls, demonstrating a strong correlation between wasting and bottle feeding (AOR = 3.38, 95% C.I.: ((1.33,8.61)). Compared to the control group, the bottle-feeding group experienced more diarrhea (AOR = 3.47, 95% C.I.: 1.07, 11.16). Factors related to bottle feeding were having a cesarean section (AOR = 4.09, 95% C.I.: 1.59, 10.52), and working for the government (AOR = 5.03, 95% C.I.: 1.87, 13.57).
Conclusion
Children who were being bottle-fed had higher rates of wasting and diarrhea. Bottle feeding was substantially correlated with the delivery method and the husband's employment. During ANC follow-up, mothers may receive counseling regarding the hazards of bottle feeding, which could enhance optimal feeding techniques after 6 months.
Mechanical analysis of Magnetic Field Applied Czochralski Method (MCZ )superconducting magnet cold mass suspension tie rod structure
Authors: Wang Shuo , Feng ZhiChao , Wang Hui , Liu Hui , Qu HongYi , Cheng JunSheng 
Published: November 2023

Abstract

A Carbon Fiber Reinforced Polymer/Plastic CFRP rod assembly used for the 4K cold mass suspension of an MCZ magnet was presented in this article. Finite element simulation and theoretical calculations were employed to explore the patterns of electromagnetic forces and torque variations on the carbon steel magnetic shield due to changes in orientation within a gradient magnetic field. The bolt pre-tensioning force and cryogenic contraction force were also calculated. Taking into consideration scenarios that may occur in its working environment, the effects of electromagnetic forces, cryogenic stresses, gravity, transport impact accelerations, and other factors on the entire cold mass suspension structure, which includes the rod assembly and main coil frame, were discussed. The assessment aims to determine whether the structural integrity meets the requirements for use. The calculations indicated that the strength of the rod assembly structure of this model could meet the assumed usage requirements and does not exceed 50% of its rated load.
Axisymmetric Contact Problem for a Homogeneous Space with a Circular Disk-Shaped Crack Under Static Friction
Authors: Hakobyan V. , Sahakyan A. , Dashtoyan L. 
Published: November 2023

Abstract
The paper considers an axisymmetric stress state of a homogeneous elastic space with a circular disc-shaped crack, one of the edges of which is pressed into a cylindrical circular punch with static friction. It is assumed that the contact zone is considered under the generalized law of dry friction, i.e. tangential contact stresses are proportional to normal contact pressure, while the proportionality coefficient depends on the radial coordinates of the points of the contacting surfaces and is directly proportional to them. Considering the fact that in this case the Abel images of contact stresses are also related in a similar way, the solution of the problem, with the help of rotation operators and theory of analytical functions, is reduced to an inhomogeneous Riemann problem for two functions and the closed solution in quadratures is constructed. A numerical analysis was carried out and regularities of changes in both normal and shear real contact stresses, as well as rigid displacement of the punch depending on the physical and geometric parameters were revealed.
Determinants of improved cookstove adoption and its benefits Ethiopia
Authors: Ganewo Zerhun , Kare Sintayehu , Mulugeta Melese , Alemu Abera , Mathewos Markos , Legesse Tibebu 
Published: November 2023

Abstract
Background
In Ethiopia's rural areas, biomass is the most prevalent energy source for lighting and cooking. Open fires and conventional, inefficient stoves are used to convert energy, which lowers the quality of life owing to the health effects of smoking and uses a lot of wood. As a result, healthcare expenditures go up, and cutting down trees contributes to climate change. Improved cooking stoves (ICS) have been distributed through youth cooperatives in the study region to improve the current subpar energy conversion technology.
Methods
Data collected from 344 households were selected using simple random and the required data were collected using a questionnaire. The interview schedule was also used to triangulate the data collected from primary households. The collected data were analyzed using both descriptive and econometric models.
Results
The findings of the study showed that only 22.97% of the interview households adopted the improved cook stoves whereas the vast majority (67.03%) still rely on traditional stoves that are highly inefficient. The prevalence of adoption of ICS was found to be 22.97% which is very low. The positive and significant variables in predicting the adoption of ICS were the educational level of the household head (OR 1.23; CI at 95% 0.029–0.040), access to the improved stove (OR 5.88; CI at 95% 1.05–2.48), affordability (OR 2.31; CI at 95% 0.11–1.56) and demonstration about the stove (OR 6.74; CI at 95% 1.13–2.68). Family size (OR 0.74; CI at 95% -0.45-0.12) and Availability of firewood (OR 0.27; CI at 95% -2.00-.56) significantly and negatively affected the adoption of the ICS.
Conclusions
The low adoption levels of ICS were found in the study area. Socio-economic, institutional, financial, and resource endowments have triggered this. Therefore, it is recommended that increasing access to improved stoves, diversifying income sources, creating awareness about ICS health benefits, and climate changes, and providing reasonable prices will facilitate its adoption.
Interpretable Machine learning for the Cesarean Section Risk Identification in Epidural Analgesia
Authors: Montagna Sara , Pini Rita , Benedetti Riccardo , Bolondi Giuliano , Croatti Angelo , De Chiara Annabella , Malewski Georgia , Pierucci Giada , Agnoletti Vanni , Ferretti Stefano 
Published: November 2023

Abstract
Despite scientific evidence to the contrary, a recent Italian report found an unexpected increase in Cesarean section rates when epidural analgesia was used. In response, we conducted a study on a dataset acquired at M. Bufalini Hospital in Cesena, Italy, involving 1,773 women aged 15 to 50 who gave birth during the same period, with the goal to identify the specific risk factors within this population. Our research leverages a diverse array of machine learning algorithms and different data preprocessing techniques, specifically to address dataset imbalances. Additionally, SHAP-based analyses were conducted to enhance the interpretability of the models.The study found that as sensitivity increased, specificity decreased, resulting in no single algorithm or configuration outperforming others. However, The best results came from the undersampling configuration and the XGBoost algorithm, achieving a sensitivity of 0.634, specificity of 0.753, and an AUC score of 0.756.Furthermore, the study's interpretability analysis highlighted variables strongly related to delivery outcomes but independent of analgesia, aligning with existing scientific literature. This underscores the need to consider multiple factors, beyond analgesia, in understanding and predicting Cesarean section outcomes. Finally, the study emphasises that, relying solely on statistics, may not be the most effective approach for epidemiological research.
Automated Recognition of Emotional States of Horses from Facial Expressions
Authors: Feighelstein Marcelo , Ricci-Bonot Claire , Hasan Hana , Weinberg Hallel , Rettig Tidhar , Segal Maya , Distelfeld Tomer , Shimshoni Ilan , Mills Daniel S. , Zamansky Anna 
Published: November 2023

Abstract
Animal affective computing is an emerging new field, which has so far mainly focused on pain, while other emotional states remain uncharted territories, especially in horses. This study is the first to develop AI models to automatically recognize horse emotional states from facial expressions using data collected in a controlled experiment. We explore two types of pipelines: a deep learning one which takes as input video footage, and a machine learning one which takes as input EquiFACS annotations. The former outperforms the latter, with 76\% accuracy in separating between four emotional states: baseline, positive anticipation, disappointment and frustration. Anticipation and frustration were difficult to separate, with only 61% accuracy.
Burnout among medical residents, coping mechanisms and the perceived impact on patient care in a developing country
Authors: muteshi charles , Ochola Elizabeth , Kamya Dorothy 
Published: November 2023

Abstract

Background
Burnout is a syndrome that result from chronic workplace stress and it characterized by emotional exhaustion, depersonalization and low personal accomplishments. Studies have found higher burnout levels in medical personnel compared to the general population. Workplace burnout has been directly linked to medical errors and negative coping strategies such as substance abuse. The aim of this study was to primarily assess the level of burnout in post graduate medical residents, evaluate their impressions about coping mechanisms and also to look at impact on patient care.
Methods
This was a cross sectional, mixed methods survey. The Maslach Burnout Inventory - Human Services Survey was used to assess the level of burnout. To assess the impressions on patient care and evaluate the coping mechanisms employed in the context of burnout, after purposive sampling, residents participated in four focus group discussions reaching thematic saturation.
Results
95 out of 120 residents consented to participate in the study, 47.3% of whom had a high risk of burnout. A significant association was found between gender and burnout risk with more females having high risk of burnout compared to their males counterparts; 58.0% and 35.6% respectively (P value 0.029). Residents in paediatrics and child health had the greatest risk of burnout (8 out of 10) compared to those in other programmes (P value of 0.01). Thematic analysis from focus group discussions revealed that main sources of stress included departmental conflict and struggle to balance work and other aspects of life. All focus group discussions revealed that burnout and stress are associated with negative coping mechanisms. Respondents reported that when under stress, they tended to be more likely to make medical errors.
Conclusion
This study reported high risk of burnout among post graduate residents which is consistent with other global studies. The sources of stress cited by residents were mostly related to the workplace and many reported sub-optimal patient care as a result of burnout. This highlights a need for preventive measures such as wellness programs within the training models.
Dynamics of the Universe with Variable Parameters that Govern the Gravitational Interactions
Authors: Mishra Ravi Kant , Jain Navya 
Published: November 2023

Abstract
The present study investigates the Friedmann-Lemaitre-Robertson-Walker models (often FLRW models) with time varying and in the general theory of relativity. In this communication the Einstein field equations have been solved by considering the deceleration parameter as a varying function of time and the Hubble parameter H defined as and , where are non-negative constants. We have analyzed the values of different constants that will generate a transition for the universe from an early decelerating phase to a recent acceleration phase. The physical and graphic behaviour have also been planned to study in this communicatio