bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent prediction method for fracture pressure based on stacking ensemble algorithm
Authors: Zhang Hao , Ren Yangfeng , Zhang Yan , Zheng Shuangjin 
Published: November 2023

AbstractFracture pressure is an important reference for wellbore stability analysis and hydraulic fracturing. Considering the low prediction accuracy, significant deviations, and limited applicability of traditional methods for predicting formation fracture pressure, this paper proposes an intelligent prediction method for fracture pressure using conventional well logging data based on the Stacking ensemble algorithm. The base learners of the model include RF, KNN, and LSTM algorithms with low correlation. The meta-learner adopts the XGBoost algorithm. The effectiveness of the model is validated using the fracture pressure data from Dagang Oilfield. The prediction results indicate that the stacking algorithm outperforms individual algorithms. After optimization with genetic algorithm, the R2 of the stacking model is 0.989, RMSE is 0.009%, and MAE is 0.32%. The global sensitivity analysis results show that AC and DEN in the well logging data have higher sensitivity to the fracture pressure. When using intelligent fracture pressure prediction methods, it is essential to ensure the accuracy of AC and DEN data. The work demonstrates the reliability and effectiveness of the method proposed for the intelligent prediction of fracturing pressure using conventional well logging data through Stacking ensemble algorithm to overcome the limitations of traditional methods.
Development of low-carbon recycled aggregate concrete using carbonation treatment and alccofine
Authors: Sharma Himanshu , Ashish Deepankar Kumar , Sharma Sanjay Kumar 
Published: November 2023

AbstractSince the construction industry is one of the major sectors responsible for the overexploitation of natural resources and the production of greenhouse gases, there is an urgent need to adopt a sustainable and environmental friendly approach to mitigate climate degradation. Research has explored the potential of recycled aggregate (RA) as a viable alternative to natural aggregate in concrete production. Currently, several treatment methods are being employed to enhance the efficient incorporation of RA into concrete, aiming to address this issue. However, the effective utilization of RA in place of NA remains uncommon. In this study, an effort has been made to develop a low-carbon recycled aggregate concrete by utilizing 100% carbonation treated recycled coarse concrete aggregate (CRCCA) in place of natural coarse aggregate (NCA) and alccofine as mineral admixture. A comprehensive analysis was performed, comparing the properties of CRCCA to those of untreated recycled coarse concrete aggregate. This analysis covered changes in weight, bulk density, water absorption, crushing value, and microstructure. Furthermore, five different concrete mixes were prepared, each varying in the proportion of natural coarse aggregate (NCA), untreated RCCA, and CRCCA. These mixes also incorporated alccofine as a mineral admixture. The evaluation process involved assessing the effectiveness of carbonation treatment and alccofine addition through tests on the workability, water absorption, density, and compressive strength of the concrete mixes. The study demonstrated that carbonation treatment of RCCA resulted in substantial improvements in crushing value and water absorption of CRCCA, alongside enhanced workability, reduced water absorption, and increased density in CRCCA concrete. Moreover, CRCCA concrete exhibited notable compressive strength gains at both 28 and 90 days compared to untreated RCCA concrete. Furthermore, the use of CRCCA and alccofine contributed to reducing GHG emissions associated with cement production, emphasizing the environmentally friendly attributes of this low-carbon concrete formulation.
Toward a Methodology for Social Sustainability Assessment: a Review of Existing Frameworks and a Proposal for a Catalog of Criteria
Authors: Richter Fanny , Gawenko Wladislav , Götze Uwe , Hinz Michael 
Published: November 2023

AbstractSocial sustainability and, in particular, its measurement and reporting are gaining importance in society, politics and business but are facing major challenges. This is because there are no standardized and uniform approaches or frameworks. The existing approaches cover social issues, but no systematic presentation has been proposed. Moreover, there is no approach that can be applied in both management accounting and financial reporting. The aim of this paper is to present a catalog of criteria for addressing this issue and thus to close the research gap. For this purpose, frameworks utilizing catalogs of criteria for social sustainability assessment and reporting are analyzed and critically reviewed. One major weakness found is that all frameworks are oriented around only socially protected values in their catalogs. As social sustainability is focused on the impact on stakeholders, these are frequently missed. One solution to this problem is to adopt a 1:1 ratio of socially protected values to stakeholders, which is developed and described in this paper via a catalog of criteria. Furthermore, a systematic presentation of social issues using a four-level structure is proposed. Social indicators are, in turn, assigned to subcategories, to supercategories, and finally to stakeholders. This not only improves transparency and comprehensibility but also simplifies decision-making. A procedure model for the application of the catalog is also suggested. Such a catalog has not been described in previous research.
Religiosität, Religion und Verschwörungsmentalität in der Covid-19-Pandemie
Authors: Pickel Gert , Schneider Verena , Pickel Susanne , Öztürk Cemal , Decker Oliver 
Published: November 2023

ZusammenfassungDie Covid-19-Pandemie rückt Verschwörungsmentalität in den Fokus des öffentlichen Interesses. Der Glauben an Verschwörungserzählungen reichte dabei weit über radikale Kreise hinaus. Die Covid-19-Pandemie fungierte (nicht nur) in Deutschland als „Booster“ für die Sichtbarkeit und Öffentlichkeit von Verschwörungsmentalität. Der vorliegende Artikel analysiert mit Daten von 2020 die Beziehungen zwischen Religiosität, Religionszugehörigkeit und Verschwörungsmentalität. Dies geschieht auf der Basis der Feststellung, dass eine Verschwörungsmentalität eine demokratische politische Kultur untergräbt. Überlegungen zum autoritären Charakter von Adorno bestätigend, scheinen Esoteriker und fundamentalistische Gläubige nur begrenzt offener für Verschwörungserzählungen. Wichtiger ist, dass religiöse Gruppen als zentrale Personifizierung für die dunklen Mächte hinter den ausgemachten Verschwörungen dienen. Neben antisemitischen Ressentiments ist auch antimuslimischer Rassismus in Verschwörungserzählungen präsent, wie nicht zuletzt die Verschwörungserzählung vom „Großen Bevölkerungsaustausch“ zeigt.
Comparison between artificial fire blight shoot and flower inoculations in apple
Authors: Bühlmann-Schütz Simone , Hodel Marius , Dorfmann Elias , Vonmetz Lukas , Lussi Luzia , Patocchi Andrea 
Published: November 2023

AbstractFire blight is the most important bacterial disease in apple (Malus × domestica). Owing to the severity of the caused damages, fire blight resistance is an important breeding objective. In the past, various phenotypic screening methods and strategies have been used to identify new sources of fire blight resistance for breeding. In this study, breeding material, modern cultivars and heirloom accessions were phenotyped by artificial inoculation of shoots under greenhouse (n = 273) and flowers under field conditions (n = 20) and genotyped for known resistance genes and quantitative trait loci by using molecular markers. A comparison between the two phenotyping methods was made in relation to the two control varieties ‘Gala Galaxy’ and ‘Enterprise’. The results obtained for the resistance sources FB_MR5, Fb_E and FB_F7 are consistent with previously published data, showing a large effect of the two major resistance genes FB_MR5 (‘Malus × robusta 5’) and Fb_E (‘Evereste’). Genotypes carrying FB_F7 showed greater variation in their resistance levels, but were on average less susceptible than ‘Gala Galaxy’ and genotypes with no known resistance gene or quantitative trait locus (QTLs) in both tests. No correlation was found between the results of 18 genotypes phenotyped with both inoculation methods. The ranking of genotypes according to their flower and shoot fire blight resistance varied between the two methods. However, 11 of the 18 tested genotypes showed no significant difference between the results of the two methods. Additionally, it was found that flower shedding appears to be an important triggered mechanism for flower resistance to fire blight.
PV based OFF grid charging station for E-vehicles using PWM and phase shift controlled interleaved three port converter
Authors: Swamynathan Kudiyarasan , Mahalingam N. , Paramasivam Alagumariyappan , Vijayalakshmi Sankaran 
Published: November 2023

AbstractIn recent years, Electric Vehicles are becoming more popular. The pollution level in the atmosphere can be effectively minimized by using Electric vehicles for large-scale transportation. A battery station is required for continuous operation; however, the Photovoltaic-based OFF grid charging station can only operate during the day. Therefore, the three-port converters have started to arise from a number of current EV charging station developments. In this study, a unique PWM and Phase Shift Controller are proposed to reduce switching losses and to improve reliability. In addition, for Maximum PowerPoint Tracking, a Fuzzy is added to the PV system. Furthermore, an appropriate interleaved boost converter topology is used to create the various charging voltages required for EV and battery stations. The proposed topology is simulated, and the hardware prototype has been created and tested. The result shows that the proposed topology has a better efficiency than the traditional converters.Article Highlights.

A dual composite charging station for electric vehicle charging in environment friendly manner.

Optimization of power electronics required in Electric Vehicle charging stations.

Maximum utilization of battery for cyclic charging from charger and discharging through Electric Vehicles.
Application of the Air-Jet Laser Detection Technology for Asphalt Binders
Authors: Wang Zhijun , Huang Xiaoming , Ma Rong 
Published: November 2023

AbstractA fast and convenient technique for Asphalt Binders was proposed in this paper, which was based on air-jet pressurized and laser to detect the transient deformation and creep recovery of asphalt. Taking five kinds of asphalt and modified asphalt commonly used in China as the research objects, the performance of asphalt were tested and analyzed by adopting the Penetration Test, Dynamic Shear Rheological (DSR) Test, Multiple Stress Creep and Recovery (MSCR) Test and the proposed test technology. The results verified the feasibility of the proposed test technology and the correlation between the traditional tests and the proposed test technology. The results demonstrated that the proposed test technology had good discrimination ability for different kinds of asphalt and could effectively reflect the performance differences. The new test protocol was similar to the Penetration Test. There was a significant correlation between the maximum deformation index and penetration index. The correlation coefficient was above 0.8, and the p value was much less than 0.01. It could be used as a possible alternative to the Penetration Test. The proposed new test was relatively convenient and fast compared with the dynamic shear test. There was a linear correlation between the maximum deflection index and the complex shear modulus G*, and the correlation coefficient between the recovery index and the phase angle is above 0.8, which indicated that the proposed new test and the DSR test had a significant correlation. There was also a good correlation between the creep recovery index of MSCR test and the recovery data of the proposed new test method. The research results provided a new solution for the performance test and evaluation of asphalt in China.
Distribution of molybdenum in soft tissues and blood of rats after intratracheal instillation of molybdenum(IV) sulfide nano- and microparticles
Authors: Kuraś Renata , Stępnik Maciej , Grobelny Jarosław , Tomaszewska Emilia , Stanisławska Magdalena , Domeradzka-Gajda Katarzyna , Wąsowicz Wojciech , Janasik Beata 
Published: November 2023

AbstractThere is still little literature data on the toxicity and safety of the commonly used molybdenum (Mo) disulfide which is present in the working as well as living environments. Thus, an experiment was carried out involving rats, with single and repeated intratracheal exposure (in the latter case, 7 administrations at 2-week intervals with the analysis performed after 90 days) to lower (1.5 mg Mo kg−1 b.w.) and higher (5 mg Mo kg−1 b.w.) doses of molybdenum(IV) sulfide nanoparticles (MoS2-NPs) and microparticles (MoS2-MPs). The analysis of Mo concentrations in the tail and heart blood as well as in soft tissues (lung, liver, spleen, brain), after mineralization and bioimaging, was meant to facilitate an assessment of its accumulation and potential effects on the body following short- and long-term exposure. The multi-compartment model with an exponential curve of Mo concentration over time with different half-lives for the distribution and elimination phases of MoS2-MPs and MoS2-NPs was observed. After 24 h of exposure, a slight increase in Mo concentration in blood was observed. Next, Mo concentration indicated a decrease in blood concentration from 24 h to day 14 (the Mo concentration before the second administration), below the pre-exposure concentration. The next phase was linear, less abrupt and practically flat, but with an increasing trend towards the end of the experiment. Significantly higher Mo concentrations in MoS2-NPs and MoS2-MPs was found in the lungs of repeatedly exposed rats compared to those exposed to a single dose. The analysis of Mo content in the liver and the spleen tissue showed a slightly higher concentration for MoS2-NPs compared to MoS2-MPs. The results for the brain were below the calculated detection limit. Results were consistent with results obtained by bioimaging technique.
Assessment of sachet water quality in Kumasi, Ghana
Authors: Boadi Nathaniel Owusu , Saah Selina Ama , Badu Mercy , Baa-Poku Frimpomah , Odame Felix , Sakyi Patrick Opare 
Published: November 2023

AbstractThis study assessed the physicochemical and microbiological quality of sachet drinking water samples in Kumasi, a major city in Ghana. Samples were collected from various sources within the city. Physicochemical properties, including pH, total dissolved solids, and concentrations of calcium, sodium, potassium, and magnesium ions, were analyzed following established protocols. Additionally, fluoride concentration was determined. The assessment criteria for water quality were based on the World Health Organization’s and the Ghana Standards Authority’s recommended standards for drinking water. The samples were also subjected to microbial analysis to detect the presence of E. coli and coliforms, and to evaluate microbial quality. The findings indicated that most physicochemical properties of the samples met the World Health Organization’s standards for safe drinking water, except for the slightly acidic pH. Total dissolved solids and the concentrations of calcium, sodium, potassium, fluoride and magnesium ions were within acceptable ranges. Strong positive correlations were observed among various physicochemical parameters of sachet water. However, microbial analysis revealed that 67% of the samples were contaminated with pathogenic microorganisms, including E. coli and coliforms, indicating poor microbiological quality. While sachet water samples generally meet physicochemical safety standards, addressing microbial quality is essential to ensure the safety of drinking water in Kumasi.
Experimental investigation of a novel smart energy management system for performance enhancement of conventional solar photovoltaic microgrids
Authors: Tajjour Salwan , Chandel Shyam Singh 
Published: November 2023

AbstractSolar photovoltaic microgrids are reliable and efficient systems without the need for energy storage. However, during power outages, the generated solar power cannot be used by consumers, which is one of the major limitations of conventional solar microgrids. This results in power disruption, developing hotspots in PV modules, and significant loss of generated power, thus affecting the efficiency of the system. These issues can be resolved by implementing a smart energy management system for such microgrids. In this study, a smart energy management system is proposed for conventional microgrids, which consists of two stages. First power production forecasting is done using an artificial neural network technique and then using a smart load demand management controller system which uses Grey Wolf optimiser to optimize the load consumption. To demonstrate the proposed system, an experimental microgrid setup is established to simulate and evaluate its performance under real outdoor conditions. The results show a promising system performance by reducing the conventional solar microgrids losses by 100% during clear sunny conditions and 42.6% under cloudy conditions. The study results are of relevance to further develop a smart energy management system for conventional microgrid Industry and to achieve the targets of sustainable development goals.
A New Image Segmentation Method Based on the YOLO5 and Fully Connected CRF
Authors: Huang Jian , Zhang Guangpeng , Ren Li juan , Wang Nina 
Published: November 2023

AbstractWhen manually polishing blades, skilled workers can quickly machine a blade by observing the characteristics of the polishing sparks. To help workers better recognize spark images, we used an industrial charge-coupled device (CCD) camera to capture the spark images. Firstly, the spark image region detected by yolo5, then segment from the background. Secondly, the target region was further segmented and refined in a fully connected conditional random field (CRF), from which the complete spark image obtained. Experimental results showed that this method could quickly and accurately segment whole spark image. The test results showed that this method was better than other image segmentation algorithms. Our method could better segment irregular image, improve recognition and segmentation efficiency of spark image, achieve automatic image segmentation, and replace human observation.
Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India
Authors: Sinha Abhinav , Savargaonkar Deepali , De Auley , Tiwari Aparna , Yadav C. P. , Anvikar Anupkumar R. 
Published: November 2023

AbstractDengue and chikungunya have been endemic in India but have the tendency to cause periodic epidemics, often together, wherein they are termed ‘syndemic’. Such a syndemic was observed in 2016 in India which resulted in a further scarcity of already resource-poor specific diagnostic infrastructure even in many urban conglomerates. A cross-sectional study was thus conducted, on 978 fever patients that consulted the ICMR-NIMR fever clinic, New Delhi, in September 2016, with an objective to identify symptom/s that could predict chikungunya with certainty. The overall aim was to rationally channelize the most clinically suitable patients for the required specific diagnosis of chikungunya. Based on their clinical profile, febrile patients attending NIMR’s clinic, appropriate laboratory tests and their association analyses were performed. Bivariate analysis on 34 clinical parameters revealed that joint pain, joint swelling, rashes, red spots, weakness, itching, loss of taste, red eyes, and bleeding gums were found to be statistically significantly associated predictors of chikungunya as compared to dengue. While, in multivariate analysis, only four symptoms (joint pain in elbows, joint swelling, itching and bleeding gums) were found in statistically significant association with chikungunya. Hence, based on the results, a clinician may preferably channelize febrile patients with one or more of these four symptoms for chikungunya-specific diagnosis and divert the rest for dengue lab diagnosis in a dengue–chikungunya syndemic setting.
ON MODEL-THEORETIC CONNECTED GROUPS
Authors: GISMATULLIN JAKUB 
Published: November 2023

AbstractWe introduce and study the model-theoretic notions of absolute connectedness and type-absolute connectedness for groups. We prove that groups of rational points of split semisimple linear groups (that is, Chevalley groups) over arbitrary infinite fields are absolutely connected and characterize connected Lie groups which are type-absolutely connected. We prove that the class of type-absolutely connected group is exactly the class of discretely topologized groups with the trivial Bohr compactification, that is, the class of minimally almost periodic groups.
What do we gain (or lose) by considering déjà vu a part of autobiographical memory?
Authors: Staugaard Søren Risløv 
Published: November 2023

Abstract
I argue the relationship between déjà vu and autobiographical memory is not continuous, but more akin to a path diagram. The starting points might be overlapping, but eventually the paths diverge dependent on whether there is memory content to be retrieved. I am worried that considering déjà vu as part of autobiographical memory solves more problems than it creates.
Déjà vu: A botched memory operation, illegitimate to start with
Authors: Stendardi Debora , Basu Anindita , Treves Alessandro , Ciaramelli Elisa 
Published: November 2023

Abstract
Rather than a natural product, a computational analysis leads us to characterize déjà vu as a failure of memory retrieval, linked to the activation in neocortex of familiar items from a compositional memory in the absence of hippocampal input, and to a misappropriation by the self of what is of others.
Déjà vu and involuntary autobiographical memories as two distinct cases of familiarity in patients with Alzheimer's disease
Authors: Gautier Joanna , Bulteau Samuel , Chapelet Guillaume , El Haj Mohamad 
Published: November 2023

Abstract
The continuum between involuntary autobiographical memories and déjà vu, as proposed by Barzykowski and Moulin, can be better defined by considering research on autobiographical retrieval in patients with Alzheimer's disease. Although autobiographical retrieval in patients with Alzheimer's disease can generally be associated with a sense of familiarity, involuntary retrieval can trigger an autonoetic experience of retrieval in these patients.
Sondage sur les pratiques des médecins de famille et sur la collaboration interprofessionnelle avec des ergothérapeutes en GMF quant au dépistage des conducteurs à risque
Authors: Brière-Dulude Sandrine , Melgares Lucas , Labourot Justine , Deslauriers Tania , Gélinas Isabelle , Layani Géraldine , Vachon Brigitte 
Published: November 2023

RésuméCette étude a sondé 46 médecins de famille québécois quant à leurs pratiques pour l’évaluation et le dépistage des conducteurs à risque afin 1) de mieux comprendre leur niveau de compétence perçu; 2) de recenser les difficultés rencontrées dans le processus de prise de décision et 3) de documenter leurs besoins et attitudes quant à une collaboration plus étroite avec les ergothérapeutes. Les participants (femmes : 84,8 %; moyenne d’expérience : 15,7 (±12,1) ans) ont répondu à un sondage en ligne de 30 questions. Les résultats de cette étude démontrent que malgré un certain confort à effectuer l’évaluation et le dépistage des conducteurs à risque, les médecins ne se considèrent pas comme les professionnels les mieux qualifiés pour ce faire. Ils reconnaissent également le rôle que jouent les ergothérapeutes dans le dépistage de cette clientèle et l’intervention auprès d’elle. Ils voient ainsi la pertinence d’avoir accès aux services de ces professionnels en soins de première ligne.