bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Networking Sites Use and Restricted Eating Among College Students: The Mediating Effect of Appearance Perfectionism and the Moderating Effect of Self-focus
Authors: Zhang Yiran , Gong Huoliang 
Published: November 2022

Abstract
This study showed that the use of social networking sites would deepen individuals' unhealthy restrictions on their own diet, and the use of social networking sites will further deepen individuals' restrictive diet through their tendency to pursue appearance perfection. However, increased self-focus by individuals may discourage appearance perfectionists from adopting unhealthy eating control behaviors.
Clinical Profiles and Mutation Landscapes of Meningiomas with Different Growth Rate
Authors: Cheng Ye , Bai Jie , Wu Xiaolong , Xu Xin , Chen Zhenlin , Song Yiming , Geng Haoming , Xu Lixin , Zhou Yiqiang , Wang Leiming , Zhang Lei , Xiao Xinru 
Published: November 2022

Abstract
Purpose
Meningiomas are common primary central nervous system tumors. Although complete surgical resection is still the main therapeutic strategy, gene phenotypes, DNA methylation and chromosome copy number variations (CNVs) are also key factors in prognostication and growth rate prediction. In this study, we evaluated the relationship between growth rate and specific gene mutations, DNA methylation and CNVs to provide a reference for surgeons and establish individual treatment strategies.
Method
From Jan 2020 to Sept 2021, 50 meningioma patients underwent surgical resection. According to our criteria, 26 patients belonged to the fast growth (FG) group, in which the growth rate was over 4 mm/year. The other 24 patients belonged to the slow growth (SG) group, in which the growth rate was slower than 2 mm/year. Genomic DNA samples from fresh tumor tissue were collected, and gene mutations, DNA methylation and chromosome CNVs were also analyzed separately.
Result
Different age and grade distributions were found between FG group and SG group. The mutation rates of LGI1, YEATS4 and BRAF were significantly higher in the FG group than in the SG group. The mutation rates of other genes were found descriptively different between the FG group than in the SG group. In addition, descriptively differences in DNA methylation and the rate of CNVs were found between the FG and SG groups.
Conclusion
Gene phenotypes, DNA methylation and CNVs can be used to predict the growth rate of meningioma, which has a higher power for predicting tumor biological characteristics than the WHO classification in meningiomas. These findings will aid surgeons in setting up individual treatment strategies.
Resveratrol Exerts Antitumor Effects on Pancreatic Cancer by Inhibiting Notch Signaling Induced by Chronic Stress
Authors: Wang Guotai , Jiang He , Yu Tiantian , Li Ning , Wang Pengli , Ma Qingyong , Duan Wanxing 
Published: November 2022

Abstract
Resveratrol is a natural polyphenolic compound found in plants that has a variety of pharmaceutical uses. However, its molecular mechanisms in tumor progression are not fully understood. Chronic stress refers to the nonspecific systemic reaction that occurs when the body is stimulated by various internal and external negative factors over a long time. Chronic stress and its related hormones epinephrine and norepinephrine (NE) play a crucial role in tumor progression. Currently, the exact role of chronic stress in pancreatic cancer is unknown. The Notch signaling pathway plays an important role in pancreatic carcinogenesis. The present study focuses on the effect of resveratrol on NE-induced pancreatic cancer progression. The results indicate that NE could induce acinar cell conversion into acinar-to-ductal metaplasia (ADM). Furthermore, we found that NE enhanced pancreatic cancer cell proliferation, migration and invasion in vitro and promoted Notch1 protein expression. In addition, resveratrol inhibited pancreatic cancer by suppressing chronic stress-mediated Notch signaling. Overall, our study suggests that resveratrol may serve as an effective adjuvant therapy for the treatment of pancreatic cancer.
Forced convective hybrid nanofluid flow through annular sector duct
Authors: Ahmed Farhan , Akbar Noreen Sher , Tripathi Dharmendra 
Published: November 2022

Abstract
The studies of hybrid nanofluid i.e the combination of nanofluid (nano particles plus water) with another nano particles, become most importance due to enhancement in the heat transfer rate. Here we study the fully developed forced convective flow properties of hybrid nanofluid through annular sector duct by taking CuO-water as the nanofluid with Cu nano particles. The contribution of CuO nano particles in the water keeps to be fixed to 10%, whereas the contribution of Cu nano particles takes 0-10% in this study. During the study, it has been concluded that the percentage enhancement in heat transfer rate is comparably more to fanning friction factor, when we increase the contribution of Cu nano particles in the nanofluid CuO-water. Furthermore, same observation has been noticed in the case of heat transfer rate, when shape factor of the nano particles changes.
Effect of TiC particles addition on tribological behavior of ductile iron
Authors: Zhao Yu , Zhang Wei , Qu Yingdong , Dong Shulin , Li Rongde , Zhou Guoping , Chen Ruirun , Wang Qi , Sun Wei , Li Guanglong 
Published: November 2022

Abstract
Abstract

In order to improve the wear resistance of ductile iron, different contents of TiC particles are added into ductile iron used lost foam casting and the tribological behavior of ductile iron is studied through a ball-on-disk sliding test. It is found that with the increase of TiC content, the pearlite content gradually increases, which is attributed to TiC accelerating the diffusion of carbon atoms to cementite and promoting the heterogeneous nucleation of cementite. The increase of pearlite content and the second phase strengthening caused by TiC improve the hardness and tensile strength of ductile iron. Ductile iron has the best tensile strength (498 MPa) and hardness (168 HV1) with a TiC content of 1 wt.%. The wear resistance also increases with increasing TiC content. The wear volume is reduced from 0.14 mm3 to 0.03 mm3, and the main wear mechanism changes from adhesive wear to abrasive wear. The oxide layer produced by frictional heat on the worn surface and the hardened layer produced by strain hardening on the subsurface further improve the wear resistance. Therefore, the wear resistance of ductile iron is affected by the changes of microstructure before and after wear.
A flexible ultra-highly sensitive capacitive pressure sensor for basketball motion monitoring
Authors: Gao Huijie , Chen Tiangeng 
Published: November 2022

Abstract
Flexible sensors with high sensitivity, a low detection limit, an extensive working pressure range, and a rapid reaction have garnered considerable interest in recent years due to their critical role in developing wearable intelligent sports monitoring devices. In this work, we reported a flexible and sensitive capacitive pressure sensor by using flexible electrodes with nylon textile and an thin dielectric layer. The sensor comprises an upper nylon textile with electrode, an thin polyvinylidene fluoride (PVDF) dielectric layer in between, and a lower nylon textile with electrode. The sensor has an extremely high sensitivity of 33.5 kPa-1, a low detection limit of 0.84 Pa, a quick reaction time of 27 ms, and exceptional stability over 100,000 cycles. With their superior overall performance, capacitive sensors have effectively proved their enormous potential for basketball motion monitoring.
Identification of spiro-acridine derivatives as fungi chitinase inhibitor by target fishing and in vitro studies
Authors: Viana Jéssika de Oliveira , Souza Eden Silva e , Sbaraini Nicolau , Vainstein Marilene Henning , Gomes Joilly Nilce Santana , Moura Ricardo Olímpio , Barbosa Euzébio Guimarães 
Published: November 2022

Abstract

The concept of “one target, one drug, one disease” is not always true, as compounds with previously described therapeutic applications can be useful to treat other maladies. Acridine derivatives have several potential therapeutic applications. In this way, identifying new potential targets for available drugs is crucial for the rational management of diseases. Computational methodologies are interesting tools in this field, using rational and direct methods. Thus, this study focused on identifying other rational targets for acridine derivatives by employing inverse virtual screening (IVS). This analysis revealed that chitinase enzymes can be potential targets for these compounds. Subsequently, we coupled molecular docking consensus analysis to screen the best chitinase inhibitor among the acridine derivatives. We observed that 3 compounds displayed potential enhanced activity as fungal chitinase inhibitors, showing that compound 5 is the most active molecule, with an IC50 of 0.07 µg. In addition, this compound demonstrated a good interaction with the active site of chitinases from Aspergillus fumigatus and Trichoderma harzianum. Therefore, this study recommends IVS as a powerful tool for drug development. The potential applications are highlighted as this is the first report of spiro-acridine derivatives acting as chitinase inhibitors that can be potentially used as antifungal and antibacterial candidates.
Computational Network Analysis of Host Genetic Risk Variants of Severe COVID-19
Authors: Alsaedi Sakhaa B. , Mineta Katsuhiko , Gao Xin , Gojobori Takashi 
Published: November 2022

Abstract
Background: Genome-wide association studies have identified numerous human host genetic risk variants that play a substantial role in the host immune response to SARS-CoV-2. Although these genetic risk variants significantly increase the severity of COVID-19, their influence on body systems is poorly understood. Therefore, we aim to interpret the biological mechanisms and pathways associated with the genetic risk factors and immune responses in severe COVID-19. We perform a deep analysis of previously identified risk variants and infer the hidden interactions between their molecular networks through disease mapping and the similarity of the molecular functions between constructed networks.
Results: We designed a four-stage computational workflow for systematic genetic analysis of the risk variants. We integrated the molecular profiles of the risk factors with associated diseases, then constructed protein-protein interaction networks. We identified 24 protein-protein interaction networks with 939 interactions derived from 109 filtered risk variants in 60 risk genes and 56 proteins. The majority of molecular functions, interactions and pathways are involved in immune responses; several interactions and pathways are related to the metabolic and cardiovascular systems, which could lead to multi-organ complications and dysfunction.
Conclusions: This study highlights the importance of analyzing molecular interactions and pathways to understand the heterogeneous susceptibility of the host immune response to SARS-CoV-2. We propose new insights into pathogenicity analysis of infections by including genetic risk information as essential factors to predict future complications during and after infection. This approach may assist more precise clinical decisions and accurate treatment plans to reduce COVID-19 complications.
Modelling Uncertainties for Automated and Connected Vehicles in Mixed Traffic
Authors: Sun Yuchao , Cummins Liam , Ji Yan , Stemler Thomas , Pritchard Nicholas 
Published: November 2022

Abstract
The disruptive nature of automated and connected vehicles (AVs and CAVs) poses increasing risks to infrastructure planning. Predicting their exact impact is impossible because of many unknowns. We address these uncertainties by establishing the upper and lower bounds of performance. An optimisation algorithm was used to guide the simulations so the bounds can be found within a reasonable timeframe. Three AV/CAV models, each given a wider range of parameters than human-driven vehicles (HDVs), were mixed with HDVs in microsimulations. Results show improvements to traffic operations, more so to the freeways than arterial roads, with CAVs offering the most improvement. Our demand sensitivity analysis also estimates the extra demand they can accommodate while maintaining the current delay time.
Probability analysis and Mapping Seismic Acceleration Scale in Lorestan Province by determining method
Authors: Beiranvand Peyman 
Published: November 2022

AbstractDue to geographical location, climatic conditions and geological situation, Iran is among the worst countries in the world in crisis conditions. Because it is located in seismic zones and has always witnessed devastating earthquakes, every year, due to natural disasters, losses and casualties enter the country. Undoubtedly, urban development, regardless of this phenomenon, will lead to more financial and life losses. Incomplete and sometimes inaccurate estimates of the maximum earthquake acceleration on the structure during its useful life are among the most important causes of damage to structures. Lorestan province, located in the west of the country, is of great importance due to its large population, historical and cultural significance and its location near the five active faults. Therefore, seismic probability assessment is considered necessary for the accurate estimation of possible earthquake parameters for the seismic design of the structure. For this reason, data were collected and refined such as fault profiles and earthquake catalogs for seismicity of the area. Using reductions and analytic relationships, we investigated the maximum horizontal acceleration in a 250km radius. Then earthquake zoning maps were provided for Lorestan province. The results show that most of the Lorestan province has a high probability level (PGA > 0.2g). The expected minimum acceleration in the region of 0.15g and a maximum of 0.701g is within the city of Dorud, which is not far from being conceivable because the region has suffered major Zagros earthquakes (earthquake 7.4 in 1909). The center of Lorestan province, Khorramabad city, is located in the area with a high probability level of about 0.3g. According to the results, it was found that the northwest strip to the southeast of the province, which includes the Oshtorinan, Borujerd, Dorud, Azna and parts of the Aligudarz, has the highest potential for earthquake hazard.
Learning heterogeneous reaction kinetics from X-ray movies pixel-by-pixel
Authors: Bazant Martin , Zhao Hongbo , Deng Haitao , Cohen Alexander , Lim Jongwoo , Li Yiyang , Fraggedakis Dimitrios , Jiang Benben , Storey Brian , Chueh William , Braatz Richard 
Published: November 2022

Abstract
Reaction rates at spatially heterogeneous, unstable interfaces are notoriously difficult to quantify, yet are essential in engineering many chemical systems, such as batteries [1] and electro-catalysts [2]. Experimental characterizations of such materials by operando microscopy produce rich image datasets [3, 4, 5, 6], but data driven methods to learn physics from these images are still lacking due to the complex coupling of reaction kinetics, surface chemistry, and phase separation [7]. Here, we show that heterogeneous reaction kinetics can be learned from in-situ scanning transmission X-ray microscopy (STXM) images of carbon-coated lithium iron phosphate (LFP) nanoparticles. Combining a large dataset of STXM images with a thermodynamically consistent electrochemical phase-field model, PDE-constrained optimization, and uncertainty quantification, we extract the free energy landscape and reaction kinetics and verify their consistency with theoretical mod els. We also simultaneously learn the spatial heterogeneity of the reaction rate, which closely matches the carbon-coating thickness profiles obtained through auger electron microscopy. Across 180,000 image pixels, the mean discrepancy with the learned model is remarkably small (&lt;7%) and comparable to experimental noise. Our results open the possibility of learning nonequilibrium material properties beyond the reach of tra ditional experimental methods and offer a new non-destructive technique for characterizing and optimizing heterogeneous reactive surfaces.
A Randomized Controlled Pilot Study of Just4Us, a Counseling and Navigation Intervention to Promote Oral HIV Prophylaxis Uptake Among PrEP-Eligible Cisgender Women
Authors: Teitelman Anne , Tieu Hong-Van , Chittamuru Deepti , Shaw Pamela A. , Nandi Vijay , Davis Annet , Lipsky Rachele , Darlington Caroline K. , Fiore Danielle , Koblin Beryl A. 
Published: November 2022

Abstract

HIV pre-exposure prophylaxis (PrEP) uptake among cisgender women in the United States is low. Just4Us, a theory-based counseling and navigation intervention, was evaluated for preliminary efficacy in a pilot randomized controlled trial with PrEP-eligible women (n = 83). The comparison arm was a brief information session. Surveys were completed at baseline, post-intervention and at 3 months. In the study sample, 79% were Black and 26% were Latina.
At 3 months follow-up, 45% made an appointment to see a provider about PrEP; only 13% received a PrEP prescription. There were no differences in PrEP initiation by study arm (9% Info vs 11% Just4Us; CI 1.07). Knowledge was significantly higher in the Just4Us group at post-intervention. Analysis revealed high PrEP interest with many personal and structural barriers along the PrEP continuum. Just4Us is a promising PrEP uptake intervention for cisgender women. Further research is needed to tailor intervention strategies on individual circumstances and barriers.
Clinicaltrials.gov registration:
NCT03699722: A Women-Focused PrEP Intervention (Just4Us)
Die ausbleibenden Stellenerhöhungen bei der Stadtpolizei Zürich sind grundrechtlich problematisch
Authors: Kiener Regina , Schuppli Roman 
Published: November 2022

Der Stadtpolizei Zürich werden von der Politik keine Stellenerhöhungen gewährt, obschon die Polizeiführung und das städtische Sicherheitsdepartement deren Bedarf begründen. Das ist aus Sicht der Grundrechte problematisch. Ein Kurzbeitrag.
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Les autorités politiques ont décidé de ne pas accorder d'augmentation de postes à la police municipale de Zurich, bien que la direction de la police et le département municipal de la sécurité en justifient le besoin. Cette situation se révèle problématique du point de vue des droits fondamentaux. Un bref exposé.
Comparative characteristics of native (liquid) and concentrated up to 40 % vinasse as a raw material for anaerobic fermentation
Authors: Kulichkova Ganna 
Published: November 2022

The energy crisis that is currently taking place in Ukraine requires an active search for alternative energy sources. Ukraine provides itself with natural gas and oil of its own production only by 20 %. With the help of biogas technologies, it is possible to increase the share of energy from renewable sources, reduce the amount of waste generation, and limit greenhouse gas emissions. Biogas is produced as a result of methane fermentation of biomass. There is a significant problem with the waste of bioethanol production – beet vinasse, a dark-colored liquid with an unpleasant odor. Anaerobic fermentation technologies are the basis for the disposal of organic waste in the world. Vinasse concentration is one of the alternatives with which can be the efficiency of anaerobic digestion and reduce the negative economic and environmental consequences of applying large volumes of vinasse in the fields. Studies show that concentrated vinasse is more suiTable for methane fermentation than liquid vinasse. The process of concentrating vinasse is economically beneficial for plants, as it will reduce the size and cost of building biogas reactors and can facilitate the management and processing of vinasse. An additional advantage of using methanogenesis for waste utilization is obtaining the digestate – the product after methane fermentation and obtaining the main product − biogas. It can also be successfully used in agriculture as a fertilizer. It has many nutrients and does not pollute the environment, as it is free from fermentation products. The proposed technologies will allow sugar and alcohol plants to carry out waste-free production, receiving the main product biogas to meet their own energy needs, and digestate
Artificial Intelligence in Breast Imaging: A Special Focus on Advances in
Digital Mammography & Digital Breast Tomosynthesis
Authors: Marino Maria Adele , Avendaño Daly , Sofia Carmelo , Zapata Pedro , Portaluri Antonio , Maria Orlando Alessia Angela , Avalos Pablo , Blandino Alfredo , Ascenti Giorgio , Cardona-Huerta Servando 
Published: November 2022

Abstract:
Breast cancer accounts for 30% of female cancers and is the second leading cause of cancerrelated
deaths in women. The rate is rising at 0.4% per year. Early detection is crucial to improve
treatment efficacy and overall survival of women diagnosed with breast cancer. Digital Mammography
and Digital Breast Tomosynthesis have widely demonstrated their role as a screening tool. However,
screening mammography is limited by radiologist’s experience, unnecessarily high recalls, overdiagnosis,
overtreatment and, in the case of Digital Breast Tomosynthesis, long reporting time. This is
compounded by an increasing shortage of manpower and resources issue, especially among breast
imaging specialists. Recent advances in image analysis with the use of artificial intelligence (AI) in
breast imaging have the potential to overcome some of these needs and address the clinical challenges
in cancer detection, assessment of treatment response, and monitoring disease progression.

:
This article focuses on the most important clinical implication and future application of AI in the field
of digital mammography and digital breast tomosynthesis, providing the readers with a comprehensive
overview of AI impact in cancer detection, diagnosis, reduction of workload and breast cancer risk
stratification.
Nanodiamond: Insight from Introduction to Application
Authors: Jain Pankaj G. , Pathan Afsar S. , Jadhav Yashshri S. , Surana Sanjay J. 
Published: November 2022

Abstract:
Nanomaterials are a promising and popular research topic for many scientists.
Nanodiamond is a branch of nanotechnology in nanoscience. Nanodiamond is a newly emerging
type of nanoparticle because of its small size, i.e., 3-4 nm size and shape, and a wide variety of
applications such as bioimaging, gene therapy, and new targeted drug delivery for various drugs.
Bio applications must meet a number of requirements, such as being safe and effective. In the
past, nanodiamond was made in a number of ways, such as by detonation, laser ablation, high
pressure and high temperature (HPHT), and explosives. In this review, we cover the following:
introduction, features, types, synthesis, future prospects, and application.