bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Analysis on Various Types of Energy Storage Devices for Wind Power Generation
Authors: Prasad Ganthia Bibhu , Suriyakrishnaan K. , Prakash N. , Harinarayanan J. , Thangaraj M. , Mishra Sthitprajna 
Published: January 2022

AbstractSpecifically for wind and photovoltaic, energy Storage is well regarded as an important tool for renewable energy. Distributed generation could also give benefits, but the position and use of wind energy are almost reciprocal to the PV system. So the needs of energy storage devices are coming into account for enhancing the power generations. This chapter gives brief idea about the conventional and flow based battery system for energy storage in power system. Here various conventional battery system compared with flow battery system for maintaining the power stabilities and power quality. The objective for this study is to find the better energy storage device which can regulate both stability and efficiency of the renewable energy system. Basically wind energy battery storage systems are depicted here with their construction, operation and usability. This paper can be effective for the researchers to study and to implement the better energy storage device in the wind or solar system to regulate the power quality. A brief comparison was highlighted in the discussion section for better analysis.
Region Detection and Segmentation of Brain Hemorrhage using Algorithmic Approach of Image Processing
Authors: Pai Krithika M 
Published: January 2022

Abstract
Brain is one of the most important part of the body. Brain Hemorrhage is a severe head injury that deteriorates the performance and function of an individual. Brain Hemorrhage can be detected through CT (Computer Tomography) scan of the brain. CT scan uses narrow X-ray beam which rotates around the part of the body and provides a set of images from different angles and the computer creates a cross-sectional view. It is challenging to detect and segment the region of the brain having Hemorrhage. Hence an automated system would be handy at those times. In the proposed work an attempt has been made to segment and identify the hemorrhaged region of the brain in the CT scan slices of the image. Brain hemorrhage segmentation helps to identify the region of brain hemorrhage which in turn helps to treat the patients at an early stage. The region of brain hemorrhage is appropriately identified from the proposed algorithm.
A web-based application for face detection in real-time images and videos
Authors: Arora Mehul , Naithani Sarthak , Shaju Areeckal Anu 
Published: January 2022

Abstract
Face detection is widely used in the consumer industry such as advertising, user interfaces, video streaming apps and in many security applications. Every application has its own demands and constraints, and hence cannot be fulfilled by a single face detection algorithm. In this work, we developed an interactive web-based application for face detection in real-time images and videos. Pretrained face detection algorithms, namely Haar cascade classifier, HOG-based frontal face detector, Multi-task Cascaded Convolutional Neural Network (MTCNN) and Deep Neural Network (DNN), were used in the web-based application. A performance analysis of these face detection algorithms is done for various parameters such as different lighting conditions, face occlusion and frame rate. The web app interface can be used for an easy comparison of different face detection algorithms. This will help the user to decide on the algorithm that suits their purpose and requirements for various applications.
Multi layered Stacked Ensemble Method with Feature Reduction Technique for Multi-Label Classification
Authors: Hemavati  , Susheela Devi V , Aparna R 
Published: January 2022

Abstract
Nowadays, multi-label classification can be considered as one of the important challenges for classification problem. In this case instances are assigned more than one class label. Ensemble learning is a process of supervised learning where several classifiers are trained to get a better solution for a given problem. Feature reduction can be used to improve the classification accuracy by considering the class label information with principal Component Analysis (PCA). In this paper, stacked ensemble learning method with augmented class information PCA (CA PCA) is proposed for classification of multi-label data (SEMML). In the initial step, the dimensionality reduction step is applied, then the number of classifiers have to be chosen to apply on the original training dataset, then the stacking method is applied to it. By observing the results of experiments conducted are showing our proposed method is working better as compared to the existing methods.
A review on friction stir processing over other surface modification processing techniques of magnesium alloys
Authors: N M Siddesh Kumar , S Chethan , Nikhil Talluri , Dhruthi  
Published: January 2022

Abstract
An enormous amount of research has been conducted on aluminium alloys in friction stir processing (FSP), despite magnesium alloys reporting severe weight reduction when compared to aluminium alloys; a very slight amount of research has testified for FSP of magnesium alloys. Magnesium is highly reactive and susceptible to corrosion in the presence of an aggressive environment. This highly corrosive nature of magnesium limits its applications. Surface properties like crystal structure, composition, and microstructure influence the corrosion and wear properties of the material. Coating techniques and alloying techniques like laser surface modifications are performed to passivate the magnesium surface from corrosion. Coating techniques, however, have been found to be insufficient in corrosion protection due to coating defects like pores, cracks, etc, adhesion problems due to poor surface preparation of the substrate, and impurities present in the coating which provide microgalvanic cells for corrosion. The current study gives a detailed overview of different types of surface modification methods, such as physical vapour deposition, chemical vapour deposition, chemical conversion coating, and ion implantation coating techniques, and also focuses on a few alloying or surface processing methods, such as laser surface modification – namely laser surface melting, laser surface cladding, laser shot peening, laser surface alloying and FSP. FSP is a novel surface modification method derived from friction stir welding, which modifies the microstructure and composition of surface layer without changing the bulk properties to enhance corrosion resistance. FSP enhances and homogenizes the microstructure but also eliminates the breakup of the brittle-network phases and cast microstructure imperfections. Indeed, FSP can produce particle and fibre-reinforced magnesium-based surface composites. FSP empowers the manufacturing of magnesium by adding additives. The different methods of coating and surface modification are compared with FSP.
Racial Inequities in Self-Rated Health Across Brazilian Cities: Does Residential Segregation Play a Role?
Authors: Guimarães Joanna M N , Yamada Goro , Barber Sharrelle , Caiaffa Waleska Teixeira , Friche Amélia Augusta de Lima , Menezes Mariana Carvalho de , Santos Gervasio , Santos Isabel , Cardoso Leticia de Oliveira , Diez Roux Ana V 
Published: January 2022

Abstract
Racial health inequities may be partially explained by area-level factors such as residential segregation. In this cross-sectional study, using a large, multiracial, representative sample of Brazilian adults (n = 37,009 individuals in the 27 state capitals; National Health Survey (Pesquisa Nacional de Saúde), 2013), we investigated 1) whether individual-level self-rated health (SRH) (fair or poor vs. good or better) varies by race (self-declared White, Brown, or Black) and 2) whether city-level economic or racial residential segregation (using dissimilarity index values in tertiles: low, medium, and high) interacts with race, increasing racial inequities in SRH. Prevalence of fair or poor SRH was 31.5% (Black, Brown, and White people: 36.4%, 34.0%, and 27.3%, respectively). Marginal standardization based on multilevel logistic regression models, adjusted for age, gender, and education, showed that Black and Brown people had, respectively, 20% and 10% higher prevalence of fair or poor SRH than did White people. Furthermore, residential segregation interacted with race such that the more segregated a city, the greater the racial gap among Black, Brown, and White people in fair or poor SRH for both income and race segregation. Policies to reduce racial inequities may need to address residential segregation and its consequences for health.
LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro
Authors: Wang Xi , Zhou Xiang , Yan Qinglin , Liao Shaofeng , Tang Wenqin , Xu Peiyu , Gao Yangzhenyu , Li Qian , Dou Zhihui , Yang Weishan , Huang Beifang , Li Jinhong , Zhang Zhuqing 
Published: January 2022

Abstract

Summary
Emerging evidences have suggested that liquid–liquid phase separation (LLPS) of proteins plays a vital role both in a wide range of biological processes and in related diseases. Whether a protein undergoes phase separation not only is determined by the chemical and physical properties of biomolecule themselves, but also is regulated by environmental conditions such as temperature, ionic strength, pH, as well as volume excluded by other macromolecules. A web accessible database LLPSDB was developed recently by our group, in which all the proteins involved in LLPS in vitro as well as corresponding experimental conditions were curated comprehensively from published literatures. With the rapid increase of investigations in biomolecular LLPS and growing popularity of LLPSDB, we updated the database, and developed a new version LLPSDB v2.0. In comparison of the previously released version, more than double contents of data are curated, and a new class ‘Ambiguous system’ is added. In addition, the web interface is improved, such as that users can search the database by selecting option ‘phase separation status’ alone or combined with other options. We anticipate that this updated database will serve as a more comprehensive and helpful resource for users.

Availability and implementation
LLPSDB v2.0 is freely available at: http://bio-comp.org.cn/llpsdbv2.

Supplementary information
Supplementary data are available at Bioinformatics online.
Turning the Party State Inside Out: CCP Intra-party Regulations as a Theoretical Challenge
Authors: Seppänen Samuli 
Published: January 2022

Abstract
Scholarship on the Chinese party state commonly treats the Chinese Communist Party (CCP) as a black box: the Party acts in the world, using the law as its tool to achieve its political goals. The study of intra-party regulations turns this anthropomorphic image inside out, requiring scholars to regard the very notion of the Party and rule-based governance as ideologically and theoretically contentious matters. This article maps out—and criticizes—prominent approaches to the study of intra-party regulations and rule-based governance within the CCP. It is certainly possible to explain CCP intra-party regulations through external social theoretical perspectives, such as Ernst Fraenkel’s dual state model. However, such perspectives do not necessarily help one understand the CCP leaders’ and ideologues’ idiosyncratic approach to rule-based governance. Fraenkel’s dual state model, in particular, fails to fully describe the role of rule-based governance in the CCP’s governance project.
Cardiovascular disease and ANCA-associated vasculitis: are we missing a beat?
Authors: Floyd Lauren , Morris Adam D , Woywodt Alexander , Dhaygude Ajay 
Published: January 2022

Abstract
The association between cardiovascular (CV) disease and anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is well documented. The recent work by Massicotte-Azarniouch et al. confirms the risk and adds to the existing evidence by describing the highest risk in the first 3 months after diagnosis. In this review, we aim to put their findings into perspective and formulate implications for the care of AAV patients. We discuss mechanisms for increased CV disease in AAV, including the impact of traditional risk factors and disease-related risks such as renal impairment and anti-myeloperoxidase (MPO) ANCA serotype. We also provide a brief primer on the impact of inflammatory-driven endothelial dysfunction and platelet activation on accelerated atherosclerosis in AAV patients. These features alongside the impact of disease activity and systemic inflammation provide potential explanations to why the incidence of CV events is highest in the first 3 months from diagnosis. We suggest future avenues of research, provide some suggestions to address and treat CV risk based on current evidence, and highlight the importance of addressing this topic early on. Addressing modifiable risk factors, dialogue with patients, patient information and a structured approach overall will be key to improve CV outcomes in AAV.
Influence of model selection and data structure on the estimation of genetic parameters in honeybee populations
Authors: Du Manuel , Bernstein Richard , Hoppe Andreas , Bienefeld Kaspar 
Published: January 2022

AbstractEstimating genetic parameters of quantitative traits is a prerequisite for animal breeding. In honeybees, the genetic variance separates into queen and worker effects. However, under data paucity, parameter estimations that account for this peculiarity often yield implausible results. Consequently, simplified models that attribute all genetic contributions to either the queen (queen model) or the workers (worker model) are often used to estimate variance components in honeybees. However, the causes for estimations with the complete model (colony model) to fail and the consequences of simplified models for variance estimates are little understood. We newly developed the necessary theory to compare parameter estimates that were achieved by the colony model with those of the queen and worker models. Furthermore, we performed computer simulations to quantify the influence of model choice, estimation algorithm, true genetic parameters, rates of controlled mating, apiary sizes, and phenotype data completeness on the success of genetic parameter estimations. We found that successful estimations with the colony model were only possible if at least some of the queens mated controlled on mating stations. In that case, estimates were largely unbiased if more than 20% of the colonies had phenotype records. The simplified queen and worker models proved more stable and yielded plausible parameter estimates for almost all settings. Results obtained from these models were unbiased when mating was uncontrolled, but with controlled mating, the simplified models consistently overestimated heritabilities. This study elucidates the requirements for variance component estimation in honeybees and provides the theoretical groundwork for simplified honeybee models.
Driving Performance in Older Adults: Current Measures, Findings, and Implications for Roadway Safety
Authors: Toups Robert , Chirles Theresa J , Ehsani Johnathon P , Michael Jeffrey P , Bernstein John P K , Calamia Matthew , Parsons Thomas D , Carr David B , Keller Jeffrey N 
Published: January 2022

Abstract

Background and Objectives
Over 10,000 people a day turn 65 in the United States. For many older adults, driving represents an essential component of independence and is one of the most important factors in overall mobility. Recent survey studies in older adults suggest that up to 60% of older adult drivers with mild cognitive impairment, and up to 30% with dementia, continue to drive. The purpose of this review is to provide a comprehensive and detailed resource on the topics of cognition and driving for clinicians, researchers, and policymakers working on efforts related to older adult drivers.

Research Design and Methods
Publications on PubMed and Medline and discussions with experts working in geriatrics, technology, driving policy, psychology, and diverse aspects of driving performance were utilized to inform the current review.

Results
Research indicates that there is a complex and inverse correlation between multiple cognitive measures, driving performance, and risky driving behaviors. The fragmented nature of available peer-reviewed literature, and a reliance on correlative data, do not currently allow for the identification of the temporal and reciprocal nature of the interplay between cognition and driving endpoints.

Discussion and Implications
There are currently no widely accepted definitions, conceptual models, or uniform set of analyses for conducting geriatric research that is focused on driving. Establishing conventions for conducting research that harmonizes the fields of geriatrics, cognition, and driving research is critical for the development of the evidence base that will inform clinical practice and road safety policy.
Why Men Fare Worse: A Mixed-Methods Study Examining Gender Differences in Nursing Home Resident Quality of Life
Authors: Davila Heather , Ng Weiwen , Akosionu Odichinma , Thao Mai See , Skarphol Tricia , Virnig Beth A , Thorpe Roland J , Shippee Tetyana P 
Published: January 2022

Abstract

Background and Objectives
Despite research documenting gender differences in numerous outcomes in later life, we know little about gender differences in quality of life (QoL) for nursing home (NH) residents. This study examines the relationship between gender and residents’ QoL, including possible reasons for differences observed.

Research Design and Methods
We used a mixed-methods design including surveys with a random sample of Minnesota NH residents using a multidimensional measure of QoL (n = 9,852), resident clinical data, facility-level characteristics (n = 364), interviews with residents (n = 64), and participant observations. We used linear mixed models and thematic analysis of resident interviews and observations to examine possible gender-related differences in residents’ QoL.

Results
After controlling for individual and facility characteristics, men reported lower overall QoL than women, including significantly lower ratings in several QoL domains. In interviews, men noted being less satisfied with activities than women, having fewer friends, and being less able to rely on family for support. Some women described the NH as a place of respite, but men more often described being dissatisfied with life in the NH and undesirable for long-term living. Our observations were consistent with interview findings but provide additional nuances, such as that some men organized their own social groups.

Discussion and Implications
Our findings suggest that men and women experience QoL differently in NHs, with men reporting lower QoL in several domains. Tailoring more activities for men and finding ways to strengthen relationships for men in NHs could help reduce the gender differences in QoL we observed.
Pilot study of peer modeling with psychological inoculation to promote coronavirus vaccination
Authors: Ramirez A G , Despres C , Chalela P , Weis J , Sukumaran P , Munoz E , McAlister A L 
Published: January 2022

Abstract
Promoting coronavirus vaccination is deterred by misinformation, ranging from elaborate conspiracy theories about sinister purposes to exaggeration of side effects, largely promulgated by social media. In this pilot study, we tested the effects of different messages on actions leading to vaccination. Two theory-based advertisements were produced for Facebook, which provided video testimonials from peer role models recommending vaccination and its benefits while providing psychological inoculation through the models’ acknowledging misinformation, rejecting it and receiving the vaccine. These ads were paid to appear on Facebook users’ feeds in rural counties in South Texas, along with a generic vaccine promotion ad from the CDC without peer models or psychological inoculation. Ad viewers could click a link to ‘find a vaccine near you’; these responses served as the outcome variable for assessing experimental effects. Ads featuring peer modeling with psychological inoculation yielded a significantly higher rate of positive responses than CDC ads (30.5 versus14.9/1000 people reached in English and 49.7 versus 31.5/1000 in Spanish; P &lt; 0.001 for both English and Spanish rate comparisons). This provides useful pilot data supporting the hypothesis that theory-based communication, i.e. peer modeling with psychological inoculation, may be more effective than more traditional forms of advertising for promoting coronavirus vaccination.
XBP1 variant 1 promotes mitosis of cancer cells involving upregulation of the polyglutamylase TTLL6
Authors: Zhong Yongwang , Yan Wenjing , Ruan Jingjing , Fang Mike , Yu Changjun , Du Shaojun , Rai Ganesha , Tao Dingyin , Henderson Mark J , Fang Shengyun 
Published: January 2022

Abstract
XBP1 variant 1 (Xv1) is the most abundant XBP1 variant and is highly enriched across cancer types but nearly none in normal tissues. Its expression is associated with poor patients’ survival and is specifically required for survival of malignant cells, but the underlying mechanism is not known. Here we report that Xv1 upregulates the polyglutamylase tubulin tyrosine ligase-like 6 (TTLL6) and promotes mitosis of cancer cells. Like the canonical XBP1, Xv1 mRNA undergoes unconventional splicing by IRE1α under endoplasmic reticulum stress, but it is also constitutively spliced by IRE1β. The spliced Xv1 mRNA encodes the active form of Xv1 protein (Xv1s). RNA sequencing in HeLa cells revealed that Xv1s overexpression regulates expression of genes that are not involved in the canonical unfolded protein response, including TTLL6 as a highly upregulated gene. Gel shift assay and chromatin immunoprecipitation revealed that Xv1s bind to the TTLL6 promoter region. Knockdown of TTLL6 caused death of cancer cells but not benign and normal cells, similar to the effects of knocking down Xv1. Moreover, overexpression of TTLL6 partially rescued BT474 cells from apoptosis induced by either TTLL6 or Xv1 knockdown, supporting TTLL6 as an essential downstream effector of Xv1 in regulating cancer cell survival. TTLL6 is localized in the mitotic spindle of cancer cells. Xv1 or TTLL6 knockdown resulted in decreased spindle polyglutamylation and interpolar spindle, as well as congression failure, mitotic arrest and cell death. These findings suggest that Xv1 is essential for cancer cell mitosis, which is mediated, at least in part, by increasing TTLL6 expression.