bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformations of Cultural Identity in the Digital World
Authors:   Institute of Philosophy, Russian Academy of Sciences, Trufanova Elena O. , Khan Shirin Dj. ,   Institute of Philosophy, Russian Academy of Sciences
Published: January 2023

The article considers the existing definitions of cultural identity and shows that the problem of cultural identity is primarily the problem of the demarcation of “own” and “alien” in culture, the solution of which depends not only on the definition of one’s cultural identity, but also one’s attitude to other cul­tures and their representatives. The authors analyze the possibility of solving a few problems of cultural identity with the help of cultural neuroscience, they demonstrate the shortcomings of this approach which do not allow any signifi­cant conclusions to be drawn on its basis, and show that the problem of modern crises and transformations of cultural identity will continue to be approached in the near future from the perspective of socio-cultural research and in direct so­cial practice. They also demonstrate that new challenges to cultural identity are associated with the confrontation of globalism and glocalism, and show that both vectors of social development are intensified thanks to digital technologies that make possible permanent contacts of different cultures on a previously inaccessi­ble scale. The unpreparedness of the digital communications user to meet with an “alien” is a source of cultural shock, it increases the risk of conflicts that can go beyond online communications. Digital communications make it possible for migrants to maintain constant contact with their “own” culture while being in an “alien” cultural space, which complicates their adaptation to a new place and leads to “ghettoization”. The authors show that the solution of potential in­tercultural conflicts can be implemented with the help of carriers of transcultural identities, the identities of people who are “at the crossroads” of cultures.
Comparative Law and Its Epistemological Potential in the Period of Fermentation of Meanings about Law (Reflection on the Book)
Authors:   Institute of State and Law, Russian Academy of Sciences, Bochkarev Sergei A. 
Published: January 2023

The article presents reflections on the book published in Russian “Essays of Com­parative Jurisprudence” by Thomas Lundmark, a German – American legal scholar – one of the few who today – in the period of the “linguistic turn” and the fashion for textual deconstruction – engaged not in verbal interpretation or post­modern “reinterpretation”, but in the scientific and research establishment of philo­sophical and legal portraits and their comparison, that is, the search for the seman­tic space of modern society through the identification of similarities and differences existing at the level of legal consciousness. By the efforts of T. Lund­mark comparative jurisprudence today focuses on epistemological problems of law. Using the example of T. Lundamark’s essay, it was possible to show that com­parative studies have potential for science and practice. It is revealed, in particular, that the search for similarities and differences in legislative systems has limited po­tential for understanding the law. The attitudes and motives hidden under the layer of official norms, acting outside the formal views of lawyers, play a decisive role. “Hidden cultures” are difficult to recognize, but can no longer be ignored due to the norm-forming nature and serious impact on the daily functioning of law.
Decision Tree Ensembles for Automatic Identification of Lithology
Authors: Desouky Mahmoud , Alqubalee Abdullah , Gowida Ahmed 
Published: January 2023

Abstract
Lithology types identification is one of the processes geoscientists rely on to understand the subsurface formations and better evaluate the quality of reservoirs and aquifers. However, direct lithological identification processes usually require more effort and time. Therefore, researchers developed several machine learning models based on well-logging data to avoid challenges associated with direct lithological identification and increase identification accuracy. Nevertheless, high uncertainty and low accuracy are commonly encountered issues due to the heterogeneous nature of lithology types. This work aims to employ decision tree ensemble techniques to predict the lithologies more accurately in time saving and cost-efficient manner, accounting for the uncertainty.
This study investigated the real-world well logs dataset from the public Athabasca Oil Sands Database to identify and extract the relevant features. Then, we conducted a thorough training using grid search to optimize the hyperparameters of the ensemble decision tree models. This paper evaluated two ensemble techniques: random forest (RF) and extreme gradient boosting (XGB). We picked metrics such as accuracy, precision, and recall to assess the developed models' performance using 5-fold cross-validation. Finally, we performed a chi-squared test to test our hypothesis of the identical performance of the developed models.
The XGB and RF models have 94% and 93% accuracy, respectively. Also, the extreme gradient boost model's weighted average recall and precision of 93% and 93% are only 5% and 4% higher than the RF model. In addition, the chi-squared test resulted in a p-value as low as 0.013, suggesting a low probability of difference in both models' performance. Classification of sand and coal formations is more straightforward than sandy shale and cemented sand. The dataset's low representation of sandy shale and cemented sand can be the reason behind their prediction errors. The developed models can classify the studied field lithologies with an overall accuracy of 94%. In addition, there is no statistically significant evidence of a difference in prediction performance between extreme gradient boost and random forest.
Computerized Diagnosis of Polycystic Ovary Syndrome Using Machine Learning and Swarm Intelligence Techniques
Authors: R Subha , R Nayana B , Radhakrishnan Rekha , P Sumalatha 
Published: January 2023

Abstract
Polycystic Ovary Syndrome (PCOS) is one of the profound causes of infertility in women. Early detection, and treatment is essential in improving the prognosis in patients. The current conditions of fertility in India are skeptical, wherein women are at higher risk. PCOS is one of the major causes of infertility and scales upto 20% of women population in India. This requires a timely and accurate diagnosis which can be accomplished by developing automated diagnosing models. Having noted that the data to be dealt with consists of both clinical and non-clinical inputs, the effective information alone needs to be considered for the diagnosis. This necessitates an intelligent selection of features before diagnosing. Thus, swarm intelligence (SI) for feature selection and machine learning for classification is considered to develop a robust and efficient diagnostic model to detect PCOS condition. Initially, optimal features are selected using statistical approaches namely, correlation and Chi Square test and exhaustive search procedure by recursive elimination. Further, the SI algorithms, Particle Swarm Optimization (PSO) and Flashing firefly (FF) are attempted to identify the optimal number and feasible combination of features. Random forest classifier has been used in the ML model for classification. A comparative analysis of the results is discussed and validated based on the parameters accuracy of training and testing, precision, recall, F1-score, and AUC-ROC. The results reveal that ML models with different feature selection algorithms give best performance for different feature dimensions and the model with PSO based feature selection gives the highest performance with minimum feature size. Also PSO based algorithm evadesthe problem of redundancy in the feature subset.
Supported photocatalyst for Cr (VI) conversion and removal of organic pollutants
Authors: Xu Nan , Chen Jingshan , Hu Chunyan , Zhu Zhijia , Wang Wei , Liu Baojiang 
Published: January 2023

Abstract
The photocatalytic property of available semiconductor catalysts still suffers from some urgent problems, such as the high excitation energy, easy agglomeration of powders, or the weak recycling property. Therefore, developing novel visible light-supported catalysts and catalyst loading have aroused great attention recently. In this work, a novel Ag3PO4/BiVO4/MWCNTs@Cotton functional fabric was prepared by introducing Ag3PO4 as a plasma resonance photocatalyst and MWCNTs with cotton as composite substrates. Not only did the introduction of Ag3PO4 and MWCNTs effectively strengthen the application ability of BiVO4, but also inhibited the recombination of carriers, and promoted the transport of carriers according to spectroscopic and electrochemical tests. Degradation tests remained that Ag3PO4/BiVO4/MWCNTs @cotton retained the high photocatalytic efficiency of the powder catalyst, along with the degradation degree of active blue KN-R (50mg/L) as well as Cr (VI) (20mg/L) could reach more than 90% within 120 min. What’s more, the functional fabric has gained excellent performance in degrading pollutants for 5 cycles. Meanwhile, the prepared BiVO4 is consistent with the band structure and electron density calculated theoretically by the GGA-PBE function. Free radical trapping and scavenging experiments exhibited that functional fabrics could produce active substances such as h+,·O2-, and·OH, among which the first two are the main active substances in the reaction. To sum up, this study is an effective attempt based on the existing problems of photocatalysts together with providing some study directions for the development of photocatalytic technology in the future.
Flexible delivery of opioid agonist treatment during COVID-19 in Norway: A cross-sectional survey of provider experiences
Authors: McDonald Rebecca , Bech Anne Berit , Clausen Thomas 
Published: January 2023

Abstract
Background and Aims: For patients receiving daily opioid agonist treatment (OAT) for opioid dependence, several countries relaxed treatment guidelines at the beginning of the COVID-19 pandemic. This involved longer take-home intervals for methadone and buprenorphine doses as well as a reduction in supervised dosing and drug screening. To date, little is known about the medium or long-term experience of such OAT deregulation. Therefore, we conducted a survey to explore how OAT providers perceived greater flexibility in OAT service delivery at the end of the second year of the pandemic.
Design: Nationwide cross-sectional study.
Setting: OAT units in 19 publicly funded hospital trusts in Norway.
Participants: Twenty-three (of whom 14 female; 61%) managers or lead physicians of OAT units.
Measurements: A 29-item online questionnaire comprising closed-format and open-ended questions covering: treatment provider experiences and changes in OAT service delivery during the past 12 months (January to December 2021).
Findings: In 2021, most OAT units (91.3%, n = 21) still practiced some adjusted approaches as established in the beginning of the pandemic. The most common adaptions were special protocols for COVID-19 cases (95.7%, n = 22), increased use of telephone- (91.3%, n= 21) and video consultations (87.0%, n= 20), and longer take-home intervals for OAT medications (52.2%, n = 12). The use of depot buprenorphine also increased substantially during the pandemic. According to the providers, most patients handled flexible treatment provision well. In individual cases, patients’ substance use was identified as key factor necessitating a reintroduction of supervised dosing and drug screening. Collaboration with general practitioners and municipal health and social services was generally perceived as crucial for successful treatment delivery.
Conclusions: Overall, the Norwegian OAT system proved resilient in the second year of the COVID-19 pandemic, as its healthcare workforce embraced innovation in technology (telemedicine) and drug development (depot buprenorphine). According to our nationally representative sample of OAT providers, most patients were compliant with longer take-home doses of methadone and buprenorphine. Our findings suggest that telemedicine can be useful as adjunct to face-to-face treatment and provide greater flexibility for patients.
The role of daughters in relation to their mother’s cervical cancer diagnosis and treatment in Guatemala: a descriptive study
Authors: Dau Hallie , Gottschlich Anna , Metz Lynn , Pineda Natalia , Pineda Andres , Alvarez Christian S. , Bevliacqua Kristin , Mendoza-Montano Carlos , Ogilvie Gina , Rivera-Andrade Alvaro , Gharzouzi Eduardo , Meza Rafael 
Published: January 2023

Abstract
PURPOSE
There is currently no information on how caregivers for women diagnosed with cervical cancer in Guatemala, particularly daughters, are affected by their supportive role. This study’s objective was to describe the support role of caregivers in the country, with a focus on daughters with a mother diagnosed with cervical cancer.
METHODS
This analysis utilizes data from a cross-sectional study which aimed to understand pathways to cervical cancer care. Women seeking cervical cancer treatment at the Instituto de Cancerologia (INCAN) in Guatemala City, Guatemala and their companions were surveyed. Descriptive statistics were calculated.
RESULTS
145 women seeking treatment and 71 companions participated in the study. Patient's daughters were most frequently reported as the person who provided the most support (51%) and as the most likely to have encouraged the patient to seek care. Furthermore, daughters were noted as the person most likely to fulfill the major household and livelihood roles of the patient while they were seeking or receiving treatment (38.0%). Most daughters reported that they were missing housework (77%), childcare (63%), and income-earning activities (60%) to attend the appointment with their mothers.
CONCLUSION
This study is the first to describe the support role of daughters of mothers receiving treatment for cervical cancer in Guatemala. The results suggests that daughters have a significant role in their mother’s cancer diagnosis and are often unable to participate in primary labor activities while providing support to the patient. This highlights an additional unexplored burden that cervical cancer has on women in Latin America.
Performance assessment of the integration of semitransparent solar cells with different geometry of greenhouses under different climate regions
Authors: Moshari Amirhosein , Aslani Alireza , Entezari Ashkan , Ghanbari Kasra 
Published: January 2023

Abstract
Limited resources and suitable farming lands, climate changes, and fast population growth are among the main concerns of the societies that bring security challenges to the governments. One solution to overcome these challenges is creating controlled areas for cultivation, growing plants, and farming, such as a greenhouse. greenhouses significantly improve the efficiency of land use in agriculture, both increasing the crop yield and the number of harvesting throughout the year, which has long proved their effectiveness. Although the history of greenhouses for farming is from Roman times, however, there are different barriers to their applications. Energy supply to control the cultivation conditions of the plants for greenhouses, in particular for heating and cooling for hot and cold climate areas, are an example. On the other hand, based on the global energy trend, decentralized energy production based on solar energy is highly regarded. Greenhouses also like households have significant potential to harvest solar energy but since greenhouses need sunlight to cultivate plants, reducing sunlight by using common solar panels is not a logical action. However, by implementing semitransparent solar cells in these greenhouses, the issue of reduced sunlight could be addressed and a further improvement in efficiency by mitigating energy demand in these greenhouses could be achieved. This research is to investigate the integration of the energy supply system with consumption in greenhouses. First, we assess different conventional types of greenhouses in terms of energy demand. Then, we investigate the energy demand with OPV integration for each type. Finally, the best design of the greenhouse for OPV integration is recommended. Results show that Flat-arch geometry is the best choice for dry and cold climates while Sawtooth geometry showed better improvements in tropical climates. In both temperate/mesothermal and continental/microthermal climates, A-frame geometry showed superiority in energy-saving. Simulations revealed an annual electricity generation of 6.9 MWh to 9.9 MWh for the optimum structural geometries that decrease the energy consumption of greenhouses.
An implementation of the matrix method using Chebyshev grid
Authors: Shen Shui-Fa , Qian Wei-Liang , Guo Hong , Zhang Shao-Jun , Li Jin 
Published: January 2023

Abstract
In this work, we explore the properties of the matrix method for black hole quasinormal modes on the nonuniform grid.In particular, the method is implemented to be adapted to the Chebyshev grid, aimed at effectively suppressing Runge's phenomenon.It is found that while such an implementation is favorable from a mathematical point of view, in practice, the increase in precision does not necessarily compensate for the penalty in computational time.On the other hand, the original matrix method, though subject to Runge's phenomenon, is shown to be reasonably robust and suffices for most applications with a moderate grid number.In terms of computational time and obtained significant figures, we carried out an analysis regarding the trade-off between the two aspects.The implications of the present study are also addressed.
COVID-19 Vaccination in Pregnancy: The Impact of Multimorbidity and Smoking Status on Vaccine Hesitancy, a Cohort Study of 25,111 Women in Wales, UK
Authors: Mhereeg Mohamed , Jones Hope , Kennedy Jonathan , Seaborne Mike , Parker Michael , Kennedy Natasha , Akbari Ashley , Zuccolo Luisa , Azcoaga-Lorenzo Amaya , Davies Alisha , Nirantharakumar Krishnarajah , Brophy Sinead 
Published: January 2023

Abstract
Background
Multimorbidity and pregnancy are two risk factors for more severe outcomes after a SARS-CoV-2 infection, thus vaccination uptake is important for pregnant women living with multimorbidity. This study aimed to examine the impact of multimorbidity, smoking status, and demographics (age, ethnic group, area of deprivation) on vaccine hesitancy among pregnant women in Wales using electronic health records (EHR) linkage.
Methods
This cohort study utilised routinely collected, individual-level, anonymised population-scale linked data within the Secure Anonymised Information Linkage (SAIL) Databank. Pregnant women were identified from 13th April 2021 to 31st December 2021. Survival analysis was utilised to examine and compare the length of time to vaccination uptake in pregnancy by multimorbidity and smoking status, as well as depression, diabetes, asthma, and cardiovascular conditions independently. Variation in uptake by; multimorbidity, smoking status, and demographics was examined jointly and separately for the independent conditions using hazard ratios (HR) from the Cox regression model.
Results
Within the population cohort, 8,203 (32.7%) received at least one dose of the COVID-19 vaccine during pregnancy, with 8,572 (34.1%) remaining unvaccinated throughout the follow-up period, and 8,336 (33.2%) receiving the vaccine postpartum. Women aged 30 years or older were more likely to have the vaccine in pregnancy. Those who had depression were slightly but significantly more likely to have the vaccine compared to those without depression (HR = 1.08, 95% CI 1.03 to 1.14, p = 0.02). Women living with multimorbidity were 1.12 times more likely to have the vaccine compared to those living without multimorbidity (HR = 1.12, 95% CI 1.04 to 1.19, p = 0.001). Vaccine uptakes were significantly lower among both current smokers and former smokers compared to never smokers (HR = 0.87, 95% CI 0.81 to 0.94, p < 0.001 and HR = 0.92, 95% CI 0.85 to 0.98, p = 0.015 respectively). Uptake was also lower among those living in the most deprived areas compared to those living in the most affluent areas (HR = 0.89, 95% CI 0.83 to 0.96, p = 0.002).
Conclusion
Younger women, living without multimorbidity, current and former smokers, and those living in the more deprived areas are less likely to have the vaccine, thus, a targeted approach to vaccinations may be required for these groups. Women living with multimorbidity are slightly but significantly less likely to be hesitant about COVID-19 vaccination when pregnant.
Long-term efficacy and stability of Miniscrew-assisted Rapid Palatal Expansion in mid to late adolescents and adults: A systematic review and meta-analysis
Authors: Zeng Weiqian , Yan Shuyun , Yi Yating , Chen Hao , Sun Tongke , Zhang Yimeng , Zhang Jun 
Published: January 2023

Abstract
Background: The purpose of this study is to investigate the long-term efficacy and stability of Miniscrew-assisted Rapid Palatal Expansion (MARPE), including its primary outcomes, namely the nasomaxillary complex transverse skeletal and dental expansion, and related secondary outcomes.
Methods: Electronic databases and manual literature searches, up to October 31, 2022, were performed. The eligibility criteria were the following: studies on patients with transverse maxillary deficiency treated with MARPE in adults and adolescents over 13.5 years of age.
Results: Ultimately, twelve articles were included in the analysis, one prospective and eleven retrospective observational studies. Five studies showed a moderate risk of bias, while the remaining seven studies were at a serious risk of bias. The GRADE quality of evidence was very low. MARPE is an effective treatment modality for transverse maxillary deficiency (mean success rate: 93.87%). Patients showed increased mean in the skeletal and dental transverse expansion. The basal bone composition, mean alveolar bone and mean dental expansion accounted for 50.67, 7.52, and 43.62% of the total expansion, respectively. There was a certain degree of skeletal and dental relapse over time. MARPE could also cause dental, alveolar, and periodontal side effects, and have an impact on other craniofacial bones, upper airway, and facial soft tissue.
Conclusions: MARPE is an effective treatment for transverse maxillary deficiency, with a high success rate and a certain degree of skeletal and dental relapse over time.