bluuebunny/crossref_metadata_2025 huggingface dataset:
The Sixth International Conference “Great Eurasia”: national and civilizational aspects of development and cooperation
Authors: Gerasimov Vladimir ,   University of World Civilizations, Kodaneva Svetlana , Lutovinov Vladimir , Popova Svetlana ,   Institute of Scientific Information on Social Sciences,   RANEPA under the President of the Russian Federation,   University of World Civilizations
Published: July 2024

557 people participated in the conference, 445 reports, including correspondence, were presented in the conference program. Among the speakers are leading experts from 38 regions of the Russian Federation, as well as from Austria, Azerbaijan, Armenia, Belarus, Bosnia and Herzegovina, Hungary, Iraq, Italy, Yemen, Kazakhstan, China, Kyrgyzstan, Libya, Mongolia, Serbia, Tajikistan, Uzbekistan, Germany, Switzerland, South Africa. The main content of the conference is a constructive discussion of the key problems of the socio-economic, innovative-technological and spiritual-humanitarian development of the countries of Greater Eurasia, strategies and mechanisms of international interaction and cooperation, integration and disintegration processes taking place in the modern world, presentation of results and prospects in the field of international economic, innovative-technological, scientific and cultural cooperation of the countries of Greater Eurasia.
Features of socio-philosophical and philosophical-historical approaches to the study of civilizational issues
Authors: Shevchenko Vladimir ,   Institute of Philosophy, Russian Academy of Sciences
Published: July 2024

The author of the paper insists on the need to highlight two complementary aspects in understanding the nature of civilization. In one case, civilization is a historical era, and in the other, it is the civilizational development of individual local states or societies (local civilizations). The paper reveals the thematic field of research on civilizational issues from the perspective of socio-philosophical knowledge (including its philosophical and historical component). It is noted that the uncertainty and vagueness of the concept of civilization is largely due to the fact that its philosophical status has not yet been identified, since the concept is considered, as a rule, without connection with the system of socio-philosophical categories. An important theoretical issue is the question of civilizational self-awareness of society. i.e. awareness of oneself as a civilization. Further, the paper talks about the theoretical and practical significance of studying the level of development of local civilizations during the transition from an independent type of development to a dependent type of development. Much attention is paid in the paper to the analysis of the dependent and backward type of historical development of non-Western civilizations, which lasted during the five-century cycle of world history. The last section of the paper discusses a complex and not fully clarified question, which was posed by S. Fourier in all detail. Does civilization as a historical era have a time frame of existence or is this era forever? Today’s change in the vector of world development, the rejection of unipolarity allows the author to raise the question of the transition of humanity from the era of civilization to a new era, to the New modernity, when the further development of human society will take place according to the laws of culture.
Experimentos con redes neuronales recurrentes LSTM para la predicción del nivel de glucosa de pacientes con diabetes
Authors: Mosquera Ruiz Anderson
Published: July 2024

La diabetes es una enfermedad en la cual el cuerpo no procesa de manera adecuada la glucosa; el tratamiento para esta enfermedad se basa en el autocuidado del paciente, sus tendencias dietarias, el ejercicio y la administración de insulina. Predecir los niveles de glucosa futuros puede ser de gran ayuda para que el paciente y el personal médico que lo atiende determinen estrategias que mantengan sus niveles de glucosa en un rango que no sea peligroso. Las técnicas de aprendizaje profundo, entre otras cosas, permiten predecir valores en una serie temporal. En la actualidad, la técnica más usada es la predicción mediante redes neuronales recurrentes tipo LSTM. Este artículo se propone realizar experimentos variando los parámetros de redes neuronales tipo LSTM para determinar si dichos parámetros tienen alguna influencia en la precisión de la predicción del modelo.
Defective kinase activity of IKKα leads to combined immunodeficiency and disruption of immune tolerance in humans
Authors: Cildir Gokhan , Aba Umran , Pehlivan Damla , Ipsir Canberk , Arik Elif , Warnock Nicholas , Bozkurt Ceren , Tekeoglu Sinem , Tvorogov Denis , Inal Gaye , Cesur Mahmut , Kucukosmanoglu Ercan , Karahan Ibrahim , Savas Berna , Balci Deniz , Yaman Ayhan , Demirbas Nazli Deveci , Tezcan Ilhan , Haskoloğlu Sule , Doğu Figen , Ikinciogullari Aydan , Keskin Ozlem , Tumes Damon , Kok Chung Hoow , Erman Baran
Published: July 2024

IKKα is a multifunctional serine/threonine kinase that controls various biological processes, either dependent on or independent of its kinase activity. However, the importance of the kinase function of IKKα in human physiology remains unknown since no biallelic variants disrupting its kinase activity have been reported. In this study, we present the first homozygous germline missense variant (c.499G > A, p.G167R) in the kinase domain of the CHUK gene, which encodes IKKα. This variant, referred to as IKKαG167R, was found in three children from two Turkish families. IKKαG167R is located in the activation segment of the kinase domain and affects the conserved Asp-Phe/Leu-Gly (DF/LG) motif responsible for coordinating magnesium atoms for ATP binding. As a result, IKKαG167R abolishes the kinase activity of IKKα, leading to impaired activation of the non-canonical NF-κB pathway. Patients carrying IKKαG167R exhibit a range of immune system abnormalities, including the absence of secondary lymphoid organs, hypogammaglobulinemia, significantly reduced populations of memory T and B, MAIT, NK, Tfh, and Treg cells, and limited diversity of T and B cell receptors with evidence of autoreactivity. These patients also demonstrate heightened susceptibility to viral, bacterial, and fungal infections. Overall, our findings indicate that, unlike a nonsense IKKα variant that results in early embryonic lethality in humans due to skeletal and skin abnormalities, the deficiency of IKKα's kinase activity is compatible with human life. However, it significantly disrupts the homeostasis of the innate and adaptive immune systems, underscoring the essential and non-redundant kinase function of IKKα in humans.
Flexible, Stable and Self-Powered Two-Dimensional Layered Nanocomposites (PANI@MoS2) for Trace Ammonia Gas Detection
Authors: Chen Cheng , Tu Qian , Zhou Xin , Xu Jiaxin , Lv Caihong , Ke Xianwen , Li Houbin , Chen Liangzhe , Liu Xinghai
Published: July 2024

In this paper, two-dimensional layered PANI@MoS2 composite with promising energy storage and NH3-sensitive sensing properties has been synthesized by one-step hydrothermal and in-situ growth technique, and their joint application in supercapacitor and NH3 sensing detection is realized. The 2D layered MoS2, produced by incorporating NH4+, possess a high specific surface area and numerous reactive sites, leading to the growth and polymerization of aniline between its layers. Because of the unique layered structure facilitating rapid reversible diffusion of charge ions, the energy storage properties of composites have been significantly improved, and the assembled asymmetric supercapacitors (ASC) can power a LED bulb for more than 20 minutes. Furthermore, due to the formation of p-n heterojunction and Schottky barrier between PANI and MoS2, as well as the enhancement of PANI's structure and dispersion via polystyrene sulfonic acid (PSS) along with nylon filter membrane, the resulting PANI-PSS@MoS2 sensing film shows outstanding ammonia sensitivity and excellent stability. Ultimately, the sensor film and LED bulb is powered by the ASC to achieve a semi-quantitative, real-time detection of NH3 concentration of spoiled food and exhaled gas of patients. The self-powered sensing device, utilizing PANI@MoS2, is anticipated to be an important candidate in flexible wearable sensing arena.
The role of environmentally mediated drug resistance in facilitating the spatial distribution of residual disease.
Authors: Picco Noemi , Milne Amy , Maini Philip , Anderson Alexander
Published: July 2024

The development of de novo resistance is a major disadvantage in molecularly targeted therapies and is an open field of research. While most of the current understanding of the emergence of resistance is focused on cell-intrinsic mechanisms, we know the microenvironment plays a crucial role. Here, we focus on interactions between cancer cells and cancer associated fibroblasts (CAFs) to understand the local crosstalk facilitating residual disease. We model these spatial dynamics with a hybrid-discrete-continuum model. The stress response caused by treatment with molecular inhibitors can trigger a signal for assistance to which CAFs respond. Introducing breaks in treatment allows the microenvironment to normalise as the stress response subsides. We investigate how fluctuating environmental conditions shape the local crosstalk and, ultimately, the resulting residual disease. We find that treatment response depends on the complex interactions between the cancer cells and CAFs, modulated by local concentrations of drug and signalling molecules. With our model we investigate in silico how processes operating at different spatial and temporal scales result in a local environment that enables survival. This work provides a better understanding of the mechanisms that drive the creation of localised residual disease, crucial to informing the development of more effective treatment protocols.
Pre-Conception Dyslipidemia and risk for preeclampsia in women undergoing IVF-ET
Authors: Chen Shaomin , Wang Yang , Wang Zhaoyu , Tao Liyuan , Wang yongqing , wei yuan , Li Zhaoping , Li Rong
Published: July 2024

This study investigated the relationship between dyslipidemia prior to conception and the risk of preeclampsia (PE) in women pregnant by in vitro fertilization and embryo transfer (IVF-ET). The retrospective cohort study consisted of 2994 women who conceived by IVF-ET and delivered live neonates. The study population was divided into two components: a training set for the prediction model development (2288 women) and a test set for validation (706 women). Multivariable logistic regression was used for the development and validation of predictive model for the risk of PE. Among the 2288 women in the training set, 266 women (11.6%) developed PE. Multiple logistic regression analysis identified independent predictors for PE: triglyceride (TG) [adjusted odds ratio (aOR) 1.284; 95% confidence interval (CI) 1.113–1.489, P < 0.001]; pre-pregnancy BMI; pre- chronic hypertension; twin pregnancy; protocol of IVF. These independent predictors for PE were used to form a risk prediction model, and the area under the receiver-operator characteristic (ROC) curve (AUC) in the training and the test set was 0.77 and 0.71, respectively. In conclusion, higher TG levels before pregnancy were independently associated with the risk for PE in women pregnant by IVF-ET.
Systematic Review on Aspect-Based SentimentAnalysis in Cross-Domain
Authors: Santin René Vieira , Rezende Solange Oliveira
Published: July 2024

Aspect-level sentiment analysis is crucial for consumers and institutions, enabling them to monitor satisfaction regarding specific aspects of products and services through user reviews. Over time, various artificial intelligence techniques have been implemented with significant success. However, most of these techniques rely heavily on a substantial amount of labeled data. In this context, Cross-Domain Aspect-Based Sentiment Analysis (ABSA) emerges, leveraging data from source domains to enhance performance in the target domain. This systematic review contributes to this framework by outlining the primary solutions developed to tackle this challenge. It presents their data sources, compared methods, and the evolution of the main technologies adopted while identifying gaps that may inspire future research endeavors. A new classification of models is proposed here, considering the cross-domain approach. This fresh perspective aims to assist researchers in their quest for innovation, clarifying the context of their proposal and suggesting relevant comparisons with existing works.
Determination of Heavy Metals in Commonly Used Tibetan Pharmaceutical Preparations and Herbs by ICP-MS and Health Risk Assessment
Authors: yang yue , zhu tingting , an juhong , qiu weishan , zhong shihong
Published: July 2024

In order to explore the content of heavy metals in commonly used Tibetan medicine preparations and medicinal materials and the possible health risks caused by human ingestion, this study determined the content of heavy metals in 8 kinds of commonly used Tibetan medicine preparations and 18 kinds of medicinal materials, analyzed the excessive content of heavy metals, and evaluated their health risks to human beings. The content of eight heavy metals (Pb, Cd, As, Cu, Hg, Co, Ni and Mn) in each sample were determined by inductively coupled plasma mass spectrometry (ICP-MS). Health risk assessment was performed by calculating the maximum estimated daily intake ( EDI ), target hazard quotient ( THQ ) and non-carcinogenicity assessment method hazard quotient ( HQ ). The results showed that in the comparison of the maximum limit standard of heavy metals stipulated in the ' Chinese Pharmacopoeia ' 2020 edition and the green industry standard, As in one sample of Tibetan medicine preparations exceeded the standard ; there were 2 samples with Pb exceeded the standard, 3 samples with Cd exceeded the standard, 1 sample with As exceeded the standard, and 1 sample with Cu exceeded the standard. When the THQ value and EDI were used as evaluation indexes, the heavy metals contained in the samples had no obvious health hazards to the human health; when HQ value is used as the evaluation indicator, some samples have certain effects on human health. The research results can provide a scientific basis for the safety evaluation of Tibetan medicine preparations and medicinal materials, and promote the standardization of the quality standards of Tibetan medicine.
Interpretable machine learning reveals a diverse arsenal of anti-defenses in 1 bacterial viruses
Authors: Polz Martin , Lopatina Anna , Ferenc Mariusz , Bartlau Nina , Wolfram Michael , Steensen Kerrin , Muscia Sebastiano , Hussain Fatima , Schnurer Madeleine , Afjehi Leila , Pollak Shaul
Published: July 2024

Antagonistic interactions with viruses are an important driver of the ecology and evolution of bacteria, and associating genetic signatures to these interactions is of fundamental importance to predict viral infection success. Recent studies have highlighted that bacteria possess a large, rapidly changing arsenal of defense genes and that viruses can neutralize at least some of these genes with matching anti-defenses. However, a broadly applicable approach for discovering the genetic underpinnings of such interactions is missing since typically used methods such as comparative genomics are limited by the rampant horizontal gene transfer and poor annotation of viral and bacterial genes. Here we show that genes that allow the viruses to overcome bacterial defenses can be systematically identified using an interpretable machine-learning approach even when using diverse bacteria-virus infection data. To verify the predictions, we experimentally characterized eight previously unknown anti-defense proteins in viruses specific for Vibrio bacteria and showed that they counteract a wide range of bacterial immune systems, including AbiH, AbiU, Septu, DRT, CBASS, and Retron. The power of our computational approach is highlighted by the identification of anti-defense proteins that inhibit non-homologous defense systems, which we verify for Retron and AbiH. We suggest that the computational prediction based on experimental interactions offers a promising avenue to unravel the genetic mechanisms of co-evolution between bacteria and their viruses.
The Development and Validation of the Comprehensive Assessment Tool for Challenges in Hemophilia (CATCH) 2.0
Authors: Decker-Palmer Marquita , Mathias Susan D , Crosby Ross D , Colwell Hilary H , Gentile Brittany , Chupka Janet , Recht Michael , Shapiro Amy , Sidonio Robert , Zazzali James L
Published: July 2024

Background
The Comprehensive Assessment Tool of Challenges in Hemophilia (CATCH) was initially developed in 2018 and includes three versions: pediatric, adult, and caregiver. The original versions are lengthy, and scoring can be complex and time-consuming. Therefore, we developed and validated abbreviated versions of the CATCH (referred to as 2.0) and present data supporting their factor structure, reliability, and validity.
Methods
The analysis pooled data from three studies (N = 126 children, 232 adults, and 118 caregivers) and included individuals with hemophilia A and B. Clinical experts provided feedback regarding potential individual items for deletion, and exploratory factor analysis (EFA) was performed after selected items were removed. Confirmatory factor analysis (CFA) was used to evaluate measurement invariance of the CATCH 2.0. Reliability and validity were assessed using criterion measures; responsiveness was evaluated using the standard effect size and standardized response mean. We endeavored to estimate clinically meaningful change for each scale of the CATCH 2.0.
Results
The adult version of the CATCH 2.0 demonstrated good validity and reliability, with an excellent factor structure and evidence that it is appropriate for use with both hemophilia type A and type B. While the factor structure of the Pediatric and Caregiver versions was excellent, some measurement properties could not be established (e.g., test-retest reliability, known-groups validity, responsiveness), in part due to small sample sizes. Additionally, it was not possible to estimate anchor-based clinically meaningful changes for the three versions due to a lack of appropriate anchors.
Conclusions
The CATCH 2.0 is a more accessible self-report version of CATCH 1.0 and has adequate psychometric properties for most scales and versions. The reliability and validity demonstrated by these results, along with its brevity, should permit its use in both clinical research and practice.
Exploring the carbon sequestration of an asphalt base course mixture containing novel cold-bonded biochar-rich lightweight aggregates
Authors: Grossegger Daniel , Wyrzykowski Mateusz , Toropovs Nikolajs , Lura Pietro
Published: July 2024

An emerging strategy to compensate for the greenhouse gas emissions of products is to incorporate carbonaceous materials obtained from sequestered atmospheric carbon dioxide, mainly obtained through biomass conversion. This approach can turn asphalt pavements into a functional carbon sink. In particular, biochar has been used as a bitumen modifier. However, due to performance limitations, carbonaceous materials were only added in small quantities to asphalt mixtures. An alternative approach is to produce lightweight aggregates to substitute a part of the mineral aggregates of the asphalt mixture. To this end, biochar is pelletised with a hydraulic binder and water in a cold-bonding process, forming spherical pellets labelled as carbon-rich lightweight aggregates (C-LWA). Like other lightweight aggregates, C-LWA showed a reduced mechanical strength compared to conventional mineral aggregates, adversely affecting the asphalt mixture performance. Cracking and rutting resistance almost linearly decreased with C-LWA content. The direct addition of biochar had a similar adverse influence on the mixture performance. Despite a reduced performance, adding biochar and C-LWA reduces the greenhouse gas emissions of asphalt mixtures. Net-zero emissions were estimated for the produced asphalt mixture by adding 5.5 ± 0.4% C-LWA or 3.0 ± 0.2% biochar.
Healthcare workers’ perceptions and user experiences of biometric technology in the selected healthcare facilities in Zambia
Authors: Hamapa Arnold , Zulu Joseph M , Khondowe Oswell , Hangulu Lydia
Published: July 2024

Background Biometric recognition, using traits like fingerprints, faces, and irises, has advanced significantly, enabling accurate identification. Despite progress, implementation in Zambian healthcare is limited. This study explored healthcare workers' and patients' perceptions and experiences regarding biometric technology in Zambian healthcare settings, offering insights for informed decision-making and product design. Methods This phenomenological study explored the perceptions and experiences of healthcare workers and end-users (patients) concerning biometric technology in four healthcare facilities in Lusaka Province: Chilenje, Chawama, Kanyama (first-level hospitals), and Railways Urban Clinic. These facilities were purposefully selected for their active use of biometric services and involvement with the National Health Insurance Management Authority (NHIMA). The study included 20 healthcare workers and 16 patients. Face-to-face interviews with healthcare workers and patients, and focus group discussions with users, lasting 35 to 65 minutes, were conducted. Interviews were audio-recorded, transcribed verbatim, coded with Nvivo version 12, and analyzed using inductive thematic analysis. Results Facilitators included efficient system integration, investment in biometric equipment, workflow transformation, and patient recognition of benefits. Barriers included infrastructure limitations, technical challenges, patient resistance and misconceptions, and accessibility challenges for individuals with disabilities. Conclusion This study highlights the transformative potential of biometric identification systems in healthcare, emphasizing benefits in efficiency and data integrity. Successful integration requires addressing facilitators like education and infrastructure and mitigating barriers such as cultural resistance and technological limitations. Stakeholders, including policymakers and healthcare providers, can use these insights to align efforts with Sustainable Development Goals for improved healthcare access and reduced inequalities. Considering user perspectives is crucial for effective implementation, and continuous improvement can enhance healthcare delivery and patient outcomes.
The effect of citric acid concentration, reaction temperature and time on the esterification of some varieties of yam flour in Nigeria
Authors: Olatide Modupe , Oladele Ebun , Lajide Labunmi , Oluwasina Olugbenga
Published: July 2024

Citric acid esterification of two accessions of white yam (Dioscorea rotundata), ‘Aro’ and ‘Efuru’, Yellow yam (D. cayanensis) flours were carried out with four different concentrations of citric acid (10%, 20%, 30%, 40%w/v /100g sample) under varying reaction temperature and time
(110oC for 2 hours, 110oC for 3 hours, 120oC for 2hours and120oC for 3hours). The Degree of substitution (DS), Reaction Efficiency, and alpha – amylase digestibility of the products were determined. The DS obtained was 0.011 – 0.178. The reaction efficiency at 110oC for 2 hours, 110oC for 3 hours, 120oC for 2 hours and 120oC for 3hours across all samples were (11.33% - 34.05%), (12.96% - 52.14%), (26.67% - 39.94%) and (32.01% - 65.11%) respectively. For esterification at 120oC for 3hours, the reaction efficiency were higher than 50% for almost all samples at citric acid concentration of 10% - 30%w/v. However, at 40%w/v, the reaction efficiency decreased to less than 50%. Alpha amylase digestibility reduced as the concentration of citric acid, temperature and reaction time of the esterification process increased. The least reduction in digestibility (1.15%) was obtained at 110oC for 2hours at 10% citric acid concentration, while the highest reduction in digestibility (93.42%) was obtained at 120oC for 3hours at 30% citric acid concentration. From the results obtained, it can be concluded that concentration of citric acid, reaction temperature and time correlate positively with the degree of substitution and alpha amylase resistivity, however steric effect reduced the reaction efficiency as the concentration of citric acid dosages increased.
Knowledge, opinions and experiences of nurses and nursing students in Portugal regarding the use of Medical Cannabis
Authors: Paiva Catarina , Santos Teresa , Cunha-Oliveira Aliete , Rosendo Inês , Pita João-Rui
Published: July 2024

Background: The opening up of the laws to medicinal cannabis in recent years is a key factor in the growth of this therapy, but there is little information about what nurses know and think about it.
The present paper seeks to analyse the knowledge, opinions and experiences of nurses and nursing students in Portugal regarding the use of cannabis and to understand gender differences.
Methods: A self-completion questionnaire was drawn up and published on line. It received face and content validity and was approved by the Ethics Committee. The instrument includes socio-demographic data, questions about knowledge, opinions, experiences and training in cannabis. The data was collected and processed by applying descriptive and inferential statistics using the chi-square test and Fisher's exact test on the SPSS platform.
Results: The majority of the 610 participants were women. The therapeutic benefits of medical cannabis were appreciated by 79,6% of nurses and 84,3% of students. When asked about the functions of the endocannabinoid system, 71,7% of nurses and 79,5% of students had never heard of it. There is a statistically significant gender difference concerning personal experience of cannabis use to treat symptoms or illnesses.
Conclusions: There is a need for further education of nurses and to include this emerging area in the curricula.
Postoperative cognitive dysfunction in aged mice after sevoflurane inhalation: crosstalk of gut microbiota, metabolomics, and proteomics
Authors: Qu Xutong , Li Hongxu , Li Huiping , Dong Zhenkun , Liu Hongyu , Xin Yu , Zhou Yuxin , Wang Shaofei , Li Mingqi , Li Jiaying , Yin Xueqing , Zhao Xinyu , Wang Changsong , Zhang Zhaodi
Published: July 2024

Background: General anaesthesia, especially sevoflurane inhalation anaesthesia, is an independent risk factor for postoperative cognitive dysfunction. However, the molecular mechanism by which sevoflurane inhalation alters postoperative cognitive function remains unclear.
Methods: According to the water maze behaviour experiment, sixteen-month-old mice receiving sevoflurane inhalation were divided into postoperative cognitive dysfunction and none cognitive dysfunction groups. Faecal samples were collected from two groups one day before intervention and 1, 3, and 7 days after. Moreover, hippocampal and serum samples were collected seven days after intervention. Faecal samples were analysed at the microbiome and metabolomics levels. The hippocampal samples were analysed using proteomics and metabolomics. Moreover, serum samples were analysed using metabolomics. Further, bioinformatics technology was used to integrate and analyse the omics.
Results: The significantly downregulated Ohtaekwangia (P=0.022) and Odoribacter (P=0.016) in the intestinal microbes of aged mice with ostoperative cognitive function had a significant positive correlation with the faecal metabolite, guanosine-5'-monophosphate (P=0.008). At the same time, guanosine-5-monophosphate showed the same downward trend in stool and serum samples. In addition, 1,7-dimethylxanthine was significantly downregulated in the hippocampus of aged mice with ostoperative cognitive function and was positively correlated with calpastatin, whose expression was downregulated (P=0.013).
Conclusions: Significant changes in microorganisms, proteins, and metabolites were detected in the faecal, serum, and hippocampal samples of aged mice with ostoperative cognitive function induced by sevoflurane inhalation. Moreover, there was a correlation between the three samples. These findings provide new insights into the mechanisms of ostoperative cognitive function.
Obsessive-compulsive Disorder and Depression in University Students: Serial Meditation of (Intrusive and Deliberate) Rumination and Social Anxiety
Authors: Ravelo Yennifer , Gonzalez-Mendez Rosaura , Birba Agustina , León-Méndez Melany , Rico Emma , Jan Damián , Padrón Iván , de Vega Manuel , Marrero Hipólito
Published: July 2024

Background
Early non-clinical obsessive-compulsive symptoms often disrupt young people’s social life in different ways and make the onset of clinical conditions more likely. Evidence shows frequent comorbidity between obsessive-compulsive symptoms and depression, suggesting that the former can start before depressive symptoms appear. However, the mechanisms that make this association more likely are unclear. This cross-sectional study examines whether (intrusive and deliberate) rumination and social anxiety play a serial mediating role between preclinical conditions in university students.
Methods
Two hundred and eighty-two university students responded to different scales that measure obsessive-compulsive symptoms, (intrusive and deliberate) rumination, social anxiety, and depression. Serial mediation analysis was computed using macro program PROCESS 4.2.
Results
Mediation analysis supported a direct positive association between obsessive-compulsive symptoms and depression, as well as multiple serial mediation of the three mediators analyzed. However, while greater intrusive rumination and social anxiety make depression more likely, deliberate rumination contributes to decreasing the risk of depression by reducing social anxiety.
Conclusions
Obsessive-compulsive symptoms, intrusive rumination, and social anxiety can increase the risk of depression, either separately or when combined. By contrast, deliberate rumination seems to be a protective factor as it is associated with less social anxiety. Deliberate rumination also plays a mediating role between intrusive rumination and social anxiety, which in turn makes depression less likely. Interventions based on training in deliberate rumination could attenuate the impact of obsessive-compulsive symptoms on social anxiety and depression.
Water Richness Evaluation of Coal Roof Aquifers Based On the Game Theory Combination Weighting Method and TOPSIS Model
Authors: Shi Longqing , Li Yu , Han Jin , Yang Xiao
Published: July 2024

Coal seam roof water breakout problem is a serious threat to the safe production of coalfield mines, accurate prediction of the water richness of the well field is of great significance to the coal mining as well as mine water control. Aiming at the problem of coal bed roof water breakout, the water richness evaluation of the Neogene and Permian strata between the coal bed and the surface was carried out. Taking a mine located in Shandong, China as the study area, we have selected ten influencing factors to establish a multi-index water richness evaluation system that comprises three indicators. A water richness prediction method based on the Game Theory combinatorial weighting and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) has been proposed, and a water richness evaluation model has been established accordingly. Using the Entropy Weight Method (EWM) and the improved Criteria Importance Through Intercriteria Correlation (CRITIC) method to obtain the weights of the indicators, and combining them with the Game Theory. The results show that the influence of the overlying strata of the coal seam on the safe mining of coal mines in the study area mainly exists in the southern region of the well field, and the scope of the stripping danger zone is circled, which is more consistent with the actual measurement, indicating that the accuracy and feasibility of this method are high, and it provides a new idea and method for the Similar issues.
Revision of the biological monitoring working party score system: Evidence from the subtropical urban river in China
Authors: Zhang Mengyue , Yu Mingqiao , Ding Sen , Li Zhao
Published: July 2024

Despite their socio-economic and ecological functions, urban rivers are among the most endangered and threatened ecosystems, especially in developing countries, where the impact of population growth, urbanization, etc., on urban river ecosystem is more pronounced. Reliable and affordable bioassessment tools are fundamental for managing and restoring urban river ecosystems. This study collected macroinvertebrates from a typical urban river of the Pearl River Delta region in the dry season (December 2021 to January 2022) and the wet season (May to June 2022). Family sensitivity values (FSVs) were revised based on local biotic and abiotic data, and then used to adapt the Biological Monitoring Working Party (BMWP) and Average Score per Taxon (ASPT) indices. The study employed Shapiro-Wilk normality test and linear regression model to analyze the fitting relationship between bio-indices and Water Quality Index (WQI), and compared their differences between using the origin FSVs and revised FSVs. The results indicated that the revised FSVs for urban rivers decreased. Furthermore, due to differences in macroinvertebrate taxa composition and water quality conditions between dry and wet seasons, the revised FSVs differed between the two seasons, and the lower FSV of the specific family were recommended, reflecting the lower limit of pollution tolerance. The adapted BMWP and ASPT indices provide more accurate water quality assessment results and are reliable indicators in urban rivers. Thus, the adapted macroinvertebrate indicator is a suitable bioassessment tool for subtropical urban rivers in this region, allowing the identification of priority areas for management and a recovery plan.
A new method for identifying elastic parameters of isotropic materials based on square specimens
Authors: Zhang Longxin , Zhang Wenbin , Xu Han , Ma Yaxing
Published: July 2024

In order to solve the problem of errors caused by unstandardized operation of the impulse excitation technique in system identification, this paper proposed a method of measurement using a specimen plate with a square cross-section. The method was based on modern control theory to decouple the free vibration of a square specimen. First, the functional relationship between the intrinsic frequency of the specimen and the geometrical dimensions and mechanical parameters was established by combining the finite element method. Then, the continuous functional relationship derived by the homotopy method allowed the frequency ratio to be related to the thickness-to-length ratio and Poisson's ratio. By measuring the frequency ratio and thickness to length ratio, Poisson's ratio could be calculated using this functional relationship. When the density and Poisson's ratio were known, the Young's modulus could be performed inversely in conjunction with the finite element analysis. Finally, a comparison test between this method and the traditional impulse excitation technique was designed and implemented, and the results showed that this method has advantages in both testing efficiency and accuracy. The study provides a new idea for system identification, which has important application value and promotion significance.
ABACS: Attribute-Based Access Control System using digital keys
Authors: Mohamed Samer I. , Mostafa Manal , Assaly Jalal , Shalabi Ahmed S.
Published: July 2024

Access control systems are the most utilized preventive and protective solution for guaranteeing highly secure and monitored environments where people can move about and live in complete safety. The Smart Building Access Management System using Digital Keys provides an efficient means of granting or revoking access to users in residential and commercial buildings. It responds to the ever-increasing demand for internet-connected devices and the need for a system that is secure, convenient, and easy to manage. Despite the pivotal role of access control systems, the current technological standing shows severe security vulnerabilities, a lack of practical management solutions and a non-optimized user conveniency. Majorly used credential technologies show an absence of encryption capabilities. Some user management solutions do not scale well and present a lack of proper scalability. Our proposed system in this paper is the Attribute-Based Access Control System (ABACS) for Smart Building Access Management System, which offers an internet-oriented physical access control system, based on an end-to-end secured solution, an easy-to-use hybrid cloud-based system for effective access management and a mobile user application for optimal convenience. Authentication, integrity, and confidentiality are guaranteed using multiple security methods, including a Trusted Execution Environment (TEE) for a safe digital key storage and encryption, and the Transport Layer Security (TLS) protocol for secured channel communication, supported by a trusted third-party Certification Authority (CA). The Near-Field Communication (NFC) channel is used for quick key sharing. Access policies and user management is achieved using the hybrid fog-cloud paradigm and the Attribute-Based Access Control (ABAC) model. Finally, user convenience and optimal user experience are reached by means of an aesthetic mobile application for digital key generation and storage. The testing results and performance evaluation show that our proposed system’s backend, efficiently processes requests in both sequential and concurrent scenarios. With sequential requests, our proposed system’s longest-performing request outperforms iPACS’s by at least tenfold. In addition, with concurrent requests, our system shows a performance at least twice better than iPACS’s.
In-silico Study of Novel Dimeric flavonoid (OC251FR2) from the Seeds of Garcinia kola Heckel (Clusiaceae) Against Alpha Estrogen Receptor (ER-α) of Breast cancer
Authors: Eugene-Osoikhia Tunmise .T , Odozi Nnenna .W , Yeye Emmanuel .O , Isiaka Mohammed , Oladosu Ibrahim. A
Published: July 2024

In silico approach was used to investigate the inhibitory activities of a novel dimeric flavanonol OC251FR2 (3,3'-oxybis(5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one)-3,3'-oxybis(5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one) isolated from the chloroform fraction of Garcinia kola, against alpha Estrogen receptor (ER-α); a major contributor to the growth of breast cancer. The docking was conducted using Maestro module 13.5 to obtained the ER-α PDB (5W9C) from NCBI. The OC251FR2 was docked using ligprep module with 4-hydroxytamoxifen being the reference drug. The qikpro was used to investigate the drug-likeliness while ligand docking and induced fit docking were used to investigate the interaction and binding affinity of the ligands with the active sites of the PDB. The result shows that the isolated OC251FR2 interact more with amino acids in the active sites via H-bond, pi-pi interaction than the reference drug 4-Hydroxytamoxifen. The drug-likeliness determined by qikpro shows that OC251FR2 violated three of the Lipinski rules of 5, and also have percent oral absorption. The quantum mechanics values show that OC251FR2 have similar properties comparable to the reference drug 4-hydroxytamoxifen. Hence, can serve as potential lead against alpha Estrogen receptor (ER-α).
Biopesticide transplant dips and foliar acaricide applications for control of cyclamen mite (Phytonemus pallidus) in strawberry.
Authors: Renkema Justin
Published: July 2024

Cyclamen mite (Phytonemus pallidus) causes injury to new growth of strawberry plants and is difficult to control because it is protected by folded leaves and plant crowns. Since cyclamen mite is easily transferred from strawberry nurseries to fruiting fields, dipping transplants in biopesticides may reduce initial populations. However, cyclamen mite numbers at 1 and 3 months-after-planting and yield and cyclamen mite injury to fruit in the following season did not differ among transplants immersed for 30 sec in Captiva® Prime, EcoTrol® EC, Landscape Oil, SuffOil-X® or Kopa Insecticidal Soap or the untreated control. Cyclamen mite is primarily controlled with foliar applications of acaricides, but there are few registered products. In greenhouse experiments, fenazaquin and pyridaben reduced cyclamen mite numbers by more than 90% in new leaves compared to the control, similar to that of the standard abamectin. New leaf injury ratings were reduced from 1 on average (scale of 0-3; 0 = no injury) pre-application to 0.25-0.5 for fenazaquin, pyridaben, and abamectin-treated plants compared to increasing to 2 for control plants 2 weeks after application. Spiromesifen and chlorfenapyr reduced cyclamen mite numbers in folded leaves in one greenhouse experiment. In the field, all acaricides reduced cyclamen mite numbers by 90-99% at 2- and 6-weeks post-application and by 75-90% at 10 months post-application. Abamectin and pyridaben resulted in 0.5-1.0% of strawberries with cyclamen mite damage compared to 3.0% for the control. All acaricides except chlorfenapyr improved strawberry yield and size. Overall, fenazaquin, pyridaben and spiromesifen should help diversify the chemical toolbox for cyclamen mite in field strawberry.
Soil is in a Self-Organised Critical State with a Tipping Point Driven by Carbon
Authors: Crawford John , Bacq-Labreuil Aurélie , Hasan Cris , Kauffman Stuart , Mooney Sacha , Young Iain , Zhang Xiaoxian , Neal Andrew
Published: July 2024

Unsustainable practices are degrading over 40% of global agricultural soils, which in turn is driving climate change, biodiversity loss, and food and water insecurity at a planetary scale. We don’t know if further degradation will be proportionate or if there is a tipping point that will result in catastrophic loss of function. While increasing soil organic carbon stocks can restore soil functions, there is a lack of consensus on how carbon levels can be maintained, and we don’t understand how soil carbon impacts soil function. These uncertainties are the most significant barriers to investing in soil at the necessary scale and pace. Here, we develop and test a mechanistic theory that the soil system is in a self-organised critical state with a critical, or ‘tipping’, point driven by organic carbon. The parameters of the dynamical state are independent of time and management but depend on soil texture. While tillage and reduced input of carbon push soils toward this tipping point, we show the primary consequence of the self-organised critical state is maintaining functional resilience when carbon inputs fluctuate. We discuss how this dynamic state relates to the concept of soil health and the means to measure and restore it at scale.
Improved coastal tides from satellite radar altimeter data
Authors: Guarneri Henrique , Verlaan Martin , Slobbe D. C. , Zijl F. , Pietrzak J. , Keyzer L. , Afrasteh Y. , Klees R.
Published: July 2024

Tidal prediction models utilizing satellite data have historically demonstrated discrepancies in accuracy across shallow and deep marine environments. Recent insights suggest these gaps may be partly attributed to the overlooked significance of nonlinear tide-surge interactions in such analyses. Our study addresses the challenge of accurately predicting tidal dynamics by focusing on the nonlinear interactions between tides and surges on the northwest European continental shelf. We utilize data from Topex/Poseidon-Jason (TPJ) radar altimeters, integrating them with a nonlinear tide-surge hydrodynamic model (2D-DCSMv7). This approach, which uses a weighted least-squares technique for estimating tidal constituent errors, demonstrates significant improvements in shallow water predictions (less than 200 meters deep), achieving the lowest standard deviation of 6.0 cm and marking improvements of 10\% over 2D-DCSMv7 and 20\% over XTRACK+DAC. In coastal shallow waters around Great Britain (notably in the English Channel and in the east between Edinburgh and Norwich) and the German Bight, the SDs reduced from $11$~cm to $5$~cm. Although the XTRACK+DAC model performs better in deeper waters, our method exhibits a notable 9\% improvement over the 2D-DCSMv7, with consistent results across deep (6.2 cm) and shallow (6 cm) waters. These findings underscore the critical role of integrating nonlinear tide-surge interactions in analyzing satellite radar altimeter data, highlighting our method's capability to narrow the accuracy gap between deep and shallow waters in altimeter-reliant tidal products.
Bidirectional Mendelian Randomization and Meta-Analysis Reveal the Relationship Between 150 Skin Microbiomes and Prostate Cancer
Authors: Chen Daolei , Xu Wanxian
Published: July 2024

Objective
This study aims to identify the causal relationship between 150 skin microbiomes and prostate cancer (PCa) using bidirectional Mendelian randomization (MR) and meta-analysis.
Methods
This study employed a comprehensive Bidirectional Two-sample MR analysis using publicly available genetic data to ascertain the relationship between 150 skin microbiomes and PCa. We conducted extensive sensitivity analyses, tests for heterogeneity, and assessments of horizontal pleiotropy to ensure the accuracy of our results. Subsequently, we conducted a meta-analysis to strengthen our conclusions' robustness further. Finally, we performed reverse causal verification on the positive skin microbiomes and PCa.
Results
After conducting a meta-analysis and multiple corrections of the MR analysis results, our findings reveal a correlation between Neisseria in dry skin and PCa risk, identifying it as a risk factor. The IVW result shows an Odds Ratio (OR) of 1.009 (95% Confidence Interval [CI]: 1.004–1.014, P = 0.027). Furthermore, the reverse MR analysis indicates the absence of an inverse causal relationship between the two. Apart from the identified skin microbiome, no significant associations were found between the other microbiomes and PCa.
Conclusions
The study identified a correlation between Neisseria in dry skin, one of the 150 skin microbiomes, and the risk of developing PCa, establishing it as a risk factor for increased susceptibility to PCa.
Technologically important quality indicators of low-lactose ice cream with milk and whey protein concentrates
Authors: Tvorogova A. A. , Gurskiy I. A. , Bogdanova Yu. I.
Published: July 2024

Protein concentrates have a high biological value and contain significantly less lactose in comparison with dry skimmed milk. The use of protein concentrates in ice cream without the content of non-fat milk solids allows not only making up for protein but also developing the component composition of a product with the low content of lactose. In this regard, the study of technologically significant quality indicators of ice cream with the low content of lactose without non-fat milk solids when using milk and whey protein concentrates is an urgent task. The rheological, microstructural, color and thermostatic characteristics, as well as the oxidative stability of fat of the test samples were determined in the research. It has been found that viscosity decreased by 1.8-2.6 times when using whey proteins. The use of protein concentrates led to an increase in hardness and adhesiveness by 2.2-4.1 and 1.6-5.0 times, respectively, but did not significantly affect the thermal stability. The mass fraction of fat had the greatest influence on these characteristics. The study of color characteristics of ice cream made it possible to reveal a decrease in the yellowness index when using milk protein concentrate. It has been established that color differences in most of the samples were not recognizable to the human eye. The induction period was characterized by the lowest value in the samples with whey proteins, thus indicating a probability of a faster oxidation process in them. The use of protein concentrates did not have a significant effect on ice crystals. The stability of the air phase was significantly reduced when using the whey proteins. A multivariate analysis of the studied samples divided them into the control and the samples containing protein concentrates. Based on the technologically significant quality indicators, the use of milk protein concentrates in the production of low-lactose ice cream is more preferable than the use of whey protein concentrates.