bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sedimentary Response to Climate Change in the Central Bay of Bengal since the Last Glacial Maximum
Authors: Ye Wenxing , Liu Shengfa , Li Jingrui , Zhang Hui , Cao Peng , Li Xiaoyan , Khokiattiwong Somkiat , Kornkanitnan Narumol , Fan Dejiang , Shi Xuefa 
Published: September 2022

Abstract
As the largest submarine fan, the Bay of Bengal (BoB) captures the abundant environment and climate fingerprints on different time scales. To investigate the sedimentary response to climate change since the Last Glacial Maximum (LGM), an integrated survey was performed to study grain size, major, and trace elements (Al2O3, CaO, K2O, Na2O, TiO2, Sr, and Rb) of core BoB-24 sediments from the central BoB. The (K/Al)-TiO2 (%) relationship of the sediments was taken for the discrimination of provenance, which indicated that sediments from core BoB-24 in 24~6.5 cal ka BP were primarily from terrigenous material input from the Himalayas. In contrast, the material contribution from the Indian subcontinent increased distinctly since 6.5 cal ka BP. The rising sea level severed direct material supply, thus causing the evolution of sediment provenance of the central BoB. Meanwhile, the strengthened Indian summer monsoon (ISM) in the Holocene affected detrital material transport from offshore to the central BoB. After understanding the sediment provenance in the study, we choose the sensitive grain-size fraction to show the evolution of hydrodynamic conditions. The chemical index of alteration (CIA) and Ti/Ca and Rb/Sr ratios are calculated to indicate the change in terrigenous input and weathering intensity. The contents of sediment fraction from 11.05 to 15.63 μm, CIA, and ratios of Ti/Ca and Rb/Sr in core BoB-24 showed the same trends, which were low during the last deglaciation and late Holocene but high in the Early Holocene. The trends were strongly correlated with the variation of the Indian summer monsoon, indicating the possible impact of Indian monsoon on sediment transport in the Bay of Bengal. Alternative indicators such as the contents of ratios of Ti/Ca and Rb/Sr, CIA, and sensitive grain-size content in sediments of core BoB-24 jointly record the evolution history of ISM since 24 ka BP in the Bay of Bengal. Although the sensitivity and response of each indicator to the paleoenvironment and paleoclimate change are slightly different, on the whole, the change trend is the same. Specifically, four warm-cold alternating periods (Heinrich Event 1, Bølling/Allerød, Younger Dryas, and Early Holocene Climatic Optimum) had a strong signal in these proxies that indicated that the millennial-scale climate controls the terrigenous input to the Bay of Bengal, where a high value occurs in warm events and low value in cold events. The sedimentary pattern of the northeastern Indian Ocean provides scientific evidence for an insight into the regional response to global climate change and the long-term climate change trend of the human environment across the monsoon region.
Reservoir Properties Alteration in Carbonate Rocks after In-Situ Combustion
Authors: Mukhametdinova A. , Karamov T. , Popov E. , Burukhin A. , Kozlova E. , Usachev G. , Cheremisin A. 
Published: September 2022

Summary
This study summarizes the work conducted as a part of laboratory modeling of in-situ combustion (ISC) experiments on cores from carbonate heavy oil fields. Porosity, permeability, fluid saturation, thermal, and geochemical properties are crucial characteristics of the target field defining the performance of the combustion technology. Here, we report the changes in reservoir properties, porous structure, and mineral composition of the rock samples induced by the thermal exposure and registered by a set of standard and advanced experimental techniques. Most combustion tests are conducted on the crushed core pack, which does not accurately represent the reservoir properties. In this paper, we present the results of three combustion tube tests (classic ISC and consecutive hot-water treatment ISC) involving actual field core samples. Gas porosimetry, nuclear magnetic resonance (NMR), and microcomputed tomography (μCT) revealed an increase in total porosity and pore size distribution and enabled visualizing the changes in the porous core structure at nano- and microlevels. X-ray diffraction (XRD) and scanning electron microscopy (SEM) demonstrated the change in mineral composition and lithological texture as a result of dolomite decomposition; Rock-Eval pyrolysis and elemental analysis were utilized to confirm the changes in the rock matrix. Optical scanning registered the changes in thermal conductivity (TC) of samples, which is important for numerical modeling of the combustion process. The proposed core analysis has proved its efficiency in providing a complete petrophysical description of the core of a heavy oil carbonate reservoir in the framework of evaluation of the ISC application for dolomite-rich carbonates and demonstrated the different responses of rock to the ISC technology.
Application of Artificial Intelligence in Static Formation Temperature Estimation
Authors: Al-Fakih Abdulrahman , Kaka SanLinn 
Published: September 2022

Abstract
This study presents a new model to predict the static formation temperature at multiple oil fields using multiple machine learning algorithms. Results are compared with the real temperatures obtained from two wells. The model developed in this study predicts static formation temperature according to several machine learning algorithms including artificial neural networks, fuzzy logic, k-nearest neighbors, and random forest algorithms. The following are the key findings: various geothermal wells in distinct fields or formations may have different machine learning connections. However, if a connection is defined using adequate field data, it is clear that static formation temperature can be approximated with great accuracy. Based on machine learning models, we developed a novel model for forecasting static formation temperature, examined the modeling data and outcomes, and found that Random Forest, Fuzzy logic, and K-nearest neighbors outperformed Artificial Neural Network. Therefore, the performance of the proposed model for estimating static well temperature achieved a mean absolute percentage (AAPE) of 0.003%, and the coefficient of determination (R 2 ) is 0.99%. When the classical (mathematical) methods were compared to the artificial intelligence methods, the artificial intelligence methods produced more accurate results with varying percentages. The findings generated by the unique new model computation and the measured test data are substantially matched when compared to computed data and observed temperature data. The novelty of this newly developed AI model is that it will serve as a practical and inexpensive tool for SFT determination in geothermal and petroleum wells.
Climatological Drought Analyses Using Spi, Deciles, Ppn, Edi and Rainy Days in Chile
Authors: Pinto Rodrigo Hernan Ojeda , Baecheler Jose Vargas , Gutierrez-Lopez Alfonso 
Published: September 2022

Abstract
Since 2010, a large area of Chile is in a period of severe drought, with impacts on the population and the water resource systems. Therefore, it is necessary to carry out research on drought behavior in Chile, its prediction and monitoring, should be addressed to find suitable measures to reduce its effects. A simple calculation model is presented for the SPI, PPN, DEC and EDI indexes. Based on the hypothesis that these indexes are an indicator of the drought condition in the central-southern area of Chile; the proposed model takes as the only input variable the cumulative number of raining days. The most efficient index for the model is identified, the study is regionalized and temporal and spatial analysis of the model is carried out. A modified index of drought is obtained, based on a simple rainfall day counter. The model represents an efficient method to show a drought event.
Clinical verification of the relationship between serum lipid metabolism and immune activity in breast cancer patients treated with neoadjuvant chemotherapy
Authors: Goto Wataru , Kashiwagi Shinichiro , Takada Koji , Asano Yuka , Ogisawa Kana , Morisaki Tamami , Shibutani Masatsune , Tanaka Hiroaki , Maeda Kiyoshi 
Published: September 2022

Abstract
Background: The have been recent reports that lipid metabolism affects the prognosis and tumor immune activity in cancer patients. However, the effect of lipid metabolism on chemosensitivity in patients with breast cancer treated with neoadjuvant chemotherapy (NAC) remains unclear.
Methods: We examined 327 patients with breast cancer who were treated with NAC followed by curative surgery. The correlations between the serum levels of total cholesterol (TC) and triglyceride (TG) and the clinicopathological features, including the efficacy of NAC, neutrophil-to-lymphocyte ratio (NLR), and absolute lymphocyte count (ALC), were evaluated retrospectively.
Results: Serum TG levels were increased after NAC in all the subtypes, and the rate of change was the highest, especially in triple-negative breast cancer (TNBC) (21.0% → 48.1%). In addition, only TNBC patients with an objective response (OR) had significantly higher TG levels after NAC than those without (P = 0.049). Patients with a high ALC before NAC had significantly higher TG levels after NAC than patients with breast cancer (P = 0.001), HER2-enriched breast cancer (P = 0.021), and TNBC (P = 0.008). Patients with a low NLR before NAC had significantly higher TG levels after NAC only among patients with TNBC (P = 0.025). In patients with human epidermal growth factor receptor 2-enriched breast cancer, the group with normal TC levels before NAC had significantly better OS than those with high TC levels (P = 0.013, log-rank test), and in patients with TNBC, the group with high TC levels after NAC had significantly better OS than those with normal TC levels (P = 0.014, log-rank test).
Conclusions: Good systemic immune activity and chemosensitivity may be associated with lipid metabolism regulated by NAC in TNBC patients.
The Role of Micro-Enterprises in the Four-Dimensional Framework of Women's Empowerment
Authors: M Jain Jacob , Munuswamy Shanmugam 
Published: September 2022

Abstract
This paper empirically evaluates the impact of micro-enterprises on women's empowerment. A quantitative research approach and a cross-sectional research design were adopted in the study. Survey research and purposive sampling technique were used to select 384 individual respondents (women entrepreneurs under the Kudumbashree Mission of Kerala state in India). The data gathered from a structured questionnaire was used for confirmatory factor analysis, model fit evaluation, and making a structural equation model to test the proposed relationship in the four-dimensional model of women's empowerment. The study asserts that micro-enterprises play an important role as they can contribute to women's empowerment by providing opportunities for employment.. In order to establish an enterprise more successful and sustainable, women should be taught entrepreneurial skills, technical knowledge, skill training, and marketing skills. The study discovered a strong correlation between the performance of micro-enterprises and women empowerment attributes. The study aids the government and policymakers in better understanding and implementing strategies to boost women’s micro-enterprises, resulting in the overall empowerment of marginalized women.
On Non-Penalization SEMDOT Using Discrete Variable Sensitivities
Authors: Fu Yun-Fei , Long Kai , Rolfe Bernard 
Published: September 2022

Abstract
Density-based topology optimization algorithms, such as solid isotropic material with penalization (SIMP), pursue solid/void solutions to yield distinct topologies, however blurry or zigzag boundaries are unavoidable. By contrast, newly developed elemental volume fraction based algorithms pursue solid/void grid points, and the intermediate elements, consisting of both solid and void grid points, are artificially defined as boundary elements through which smooth boundaries can be formed. Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT) algorithm is a typical elemental volume fraction based method developed based on the SIMP framework. However, the current version of SEMDOT needs to use the material penalization scheme in SIMP to facilitate the distinction of solid, void, and boundary elements. This framework restriction has motivated the development of the non-penalized SEMDOT algorithm to establish the physically meaningful relation between the elemental volume fraction and its material property. This study adopts discrete variable sensitivities for solid, void and assumed boundary elements instead of continuous variable sensitivities to eliminate the material penalization scheme and obtain efficient smooth topological layouts. The efficiency, effectiveness, and general applicability of the proposed non-penalized SEMDOT algorithm are demonstrated in three case studies containing compliance minimization, compliant mechanism design, and heat conduction problems, as well as thorough comparisons with penalized SEMDOT. The numerical results show that the convergency of non-penalized SEMDOT is stronger than penalized SEMDOT, and improved results can be obtained by non-penalized SEMDOT.
Confirmatory Validation of the French Version of the Duchenne Muscular Dystrophy Module of the Pediatric Quality of Life Inventory (PedsQL TM 3.0DMDvf)
Authors: Wallach Elisabeth , Ehlinger Valerie , Biotteau Maelle , Walther-Louvier Ulrike , Péréon Yann , Vuillerot Carole , Fontaine Stephanie , Sabouraud Pascal , Espil-Taris Caroline , Cuisset Jean-Marie , Laugel Vincent , Baudou Eloïse , Arnaud Catherine , Cances Claude 
Published: September 2022

Abstract

Duchenne muscular dystrophy (DMD) is a neuromuscular disease that inevitably leads to total loss of autonomy. The new therapeutic strategies aim to both improve survival and optimize quality of life. Evaluating quality of life is nevertheless a major challenge. No DMD-specific quality of life scale to exists in French. We therefore produced a French translation of the English Duchenne muscular dystrophy module of the Pediatric Quality of Life Inventory (PedsQLTMDMD) following international recommendations. The study objective was to carry out a confirmatory validation of the French version of the PedsQLTMDMD for pediatric patients with DMD, using French multicenter descriptive cross-sectional data. The sample consisted of 107 patients. Internal consistency was acceptable for proxy-assessments, with Cronbach's alpha coefficients above 0.70, except for the Treatments dimension. For self-assessments, internal consistency was acceptable only for the Daily Activities dimension. Our results showed poor metric qualities for the French version of the PedsQLTMDMD based on a sample of about 100 children, but these results remained consistent with those of the original validation. This confirms the interest of its use in clinical practice.
Determinants of processors' bamboo utilization level: The case of Bahir Dar city and Injibara town, Ethiopia
Authors: Dessie Tsadiku Setegne , Yimer Ahmed Mohammed , Ali Mohammed Yimam 
Published: September 2022

Abstract
Bamboo is a crucial non-timber forest resource, having a ubiquitous purpose applied in any sectors & can be anything products and plays the greatest role in the economic, social and ecological aspects and considered as a key of alleviating poverty for it can be utilized at all level industry. The bamboo resource is highly available in Ethiopia but it is underutilized. So the main objective of the study was to examine the determinants of processors' bamboo utilization level. An explanatory research design was employed to examine the effects of processors' awareness level, market demand, financial capacity, technological accesses, supporting market, and market linkage on the processors’ bamboo utilization level measured by bamboo product variety. The data was collected from bamboo processors via questioner held by trained data collectors from the entire bamboo processors found in Bahir Dar city and Injibara town and it was analyzed using ordinal logistic regression on SPSS 20 software package. The study revealed and concluded that access to technology, supporting market, processors’ awareness level, and financial capacity was a statistically significant determinant and positively affect bamboo utilization level, but market demand and market linkage were not statistically significant determinant. The study recommended that the government at each level shall give policy-based support & attention, and responsible agencies like TVED, MSE, trading and agricultural bureaus cooperating with the federal government and INBAR should prepare manuals, videos leaflets, skill-oriented training and experience sharing programs. The future researcher should extend the current study by adding more variables on expanded targets using other models by considering the interaction effects of independent variables, also they can conduct comparative studies of bamboo utilization level among different bamboo processors in different regions found in Ethiopia.
Impact of HIV infection and integrase strand transfer inhibitors-based treatment on the gut virome
Authors: Villoslada-Blanco Pablo , Pérez-Matute Patricia , Íñiguez María , Recio-Fernández Emma , Jansen Daan , Coninck Lander , Close Lila , Blanco-Navarrete Pilar , Metola Luis , Ibarra Valvanera , Alba Jorge , Matthijnssens Jelle , Oteo José A. 
Published: September 2022

Abstract
Introduction: Viruses are the most abundant components of the human gut microbiome with a significant impact on health and disease. The impact of human immunodeficiency virus (HIV) infection on the gut virome has been scarcely analysed and several studies suggested that integrase strand transfers inhibitors (INSTIs) are associated with a healthier gut. Thus, the objective of this work was to evaluate the effects of HIV infection and INSTIs on the gut virome composition. Methods: 26 non-HIV-infected volunteers, 15 naive HIV-infected patients and 15 INSTIs-treated HIV-infected patients were recruited and their gut virome composition was analysed using shotgun sequencing. Results: Bacteriophages are the most abundant and diverse viruses in gut. HIV infection was accompanied by a decrease in phage richness which was reverted after INSTIs-based treatment. β-diversity of phages revealed that samples from HIV-infected patients clustered separately from those belonging to the control group. Differential abundant analysis showed an increase in phages belonging to Caudoviricetes class in the naive group and a decrease of Malgrandaviricetes class phages in the INSTIs-treated group compared to the control group. Besides, it was observed that INSTIs-based treatment was not able to reverse the increase of lysogenic phages associated with HIV infection or to modify the decrease observed on the relative abundance of Proteobacteria-infecting phages. Conclusions: Our study describes for the first time the impact of HIV and INSTIs on the gut virome and demonstrates that INSTIs-based treatments are able to partially restore gut dysbiosis at the viral level, which opens several opportunities for new studies focused on microbiota-based therapies.
Employees’ use of social networking sites and job performance
Authors: Asnakew Zeleke Siraye , Elias Yibeltal , Abebe Tiruneh , Andualem Mulusew 
Published: September 2022

Abstract
This study was designed to explore the purpose to which employees use social networking sites and examine its effect on their performance. Using data from 203 respondents, exploratory factor analysis was conducted to identify the specific activities employees undertake using social networking sites during work hours. Moreover, multiple regression analysis was conducted to examine the effects of each social networking site activities, total time spent by employees on social networking sites and the number of social networking site accounts on their job performance. Six dimensions of social networking sites use at work were identified: Social networking sites use for work related activities, social networking sites use for commenting and status updating, social networking sites use for social interaction, social networking sites use for self-expression, social networking sites use for entertainment and social networking sites use for political activities. Moreover, results revealed that the total time spent on social networking sites, social networking sites use for political activities and entertainment negatively affected employees’ job performance while Social networking sites use for work and socialization were found to positively affect employees’ job performance. No significant relationship was found between job performance and social networking sites use for self-presentation and status updating.
Catalytic reduction of 4-nitrophenol using Cu/Cu 2 O nanocomposites based on magnetic maize straw
Authors: Yu Yang , Guo Hong , Wang Pengyuan , Zhai Shangru , Han Jiazhi , Li Wangquan , Wang Yuanhao , Wang Yi 
Published: September 2022

Abstract

In this work, a novel copper-based nanocomposite catalyst was fabricated via magnetic maize straw as a support for the reduction of 4-nitrophenol(4-NP). Magnetic maize straw was prepared by the amidation reaction of amine-functionalized magnetite nanoparticles (NH2-Fe3O4) with succinylated maize straw (S-MS). After magnetic succinylated maize straw (Mag-S-MS) was mixed with cupric ions aqueous solution, Cu(II) could be captured by the amino and carboxylate groups and reduced by sodium borohydride (NaBH4). The reduction product of Cu(II) was characterized by scanning electron microscopy (SEM), energy disperse spectroscopy (EDS), X-rays diffraction (XRD), X-ray photoelectron Spectroscopy (XPS), and thermogravimetric analysis (TGA), which indicated binary Cu/Cu2O nanocomposites (NCs) were formed successfully on Mag-S-MS without self-aggregation and oxidation. Then it was investigated as a catalyst for the reduction of 4-NP to 4-aminophenol (4-AP) via hydrogenation using NaBH4 as a reducing agent. The effect of the dosage of the catalyst, the initial concentrations of NaBH4 and 4-NP were investigated. The mechanic investigation proposed Cu and Cu2O nanoparticles played a synergistic role on the hydrogen and electron transformation to enhance its catalytic ability. Compared with other reported catalysts, Cu/Cu2O NCs-loaded-Mag-S-MS possessed a higher catalytic efficiency for the higher rate constant value. Due to its superparamagnetic nature, it could be quickly collected from the aqueous solution under a magnetic field and it maintained relatively high catalytic activity after five cycle tests. The present study outlines a method for using agricultural waste in nano catalytic reaction.