bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of GH4169 diaphragm for combined improvements of yield strength and surface roughness
Authors: Wang Qiushi , He Guangli , Zhao Wenjing , Han Zhihua , Wei Linlin 
Published: February 2023

AbstractDiaphragm compressors have become the primary source of on-site hydrogen compression for hydrogen fuelling stations around the world. The most common hydrogen-compressor-failure mechanism has been identified as diaphragm fracture due to low tensile strength and poor surface properties. In this study, a new type of GH4169 diaphragm with high yield strength and low surface roughness was fabricated. Microstructures, tensile behaviours and surface properties of the specimens were characterized by using scanning electron microscopy, an electronic universal testing machine and atomic force microscopy, respectively. The evolution of the γ′′ and γ′ phases with temperature has been examined. Both γ′′ and γ′ phases were precipitant-strengthened phases for GH4169 and the volume and size of γ′′ and γ′ phases increase with ageing time. In addition, the γ′′ phase is the main strengthening phase and γ′ is the supportive strengthening phase. Tensile strength was increased due to the strengthening phases at the cost of ductility. The roughness of the diaphragm could reach an arithmetic average roughness (Ra) of 0.1 μ m by applying a cooling-assisted polishing process. This work improves the reliability and reduces the auxiliary steps and down-time for diaphragm compressors.
Toward a Novel RESTFUL Big Data-Based Urban Traffic Incident Data Web Service for Connected Vehicles
Authors: Hireche Samia , Dennai Abdeslem , Kadri Boufeldja 
Published: February 2023

Abstract
Connected vehicles (CVs) are an emerging technology in intelligent transportation systems. Currently, many data-driven intelligent transportation systems (D2ITS) use CV data. Unfortunately, these D2ITS still need serious improvement before they meet higher-level visualization needs. Thus, we aim to develop a new, intelligent data-driven transportation system framework. We focus on visualizing real-time CV data using a big data analytic system in urban areas. In response, we first propose an effective real-time data distribution approach within the Vehicular Ad-hoc NETwork. Second, we develop novel strategies for aggregating, extracting and ingesting data. We provide scalable and fault-tolerant delivery methods without interruption or delay. Finally, we proposed a novel visualization REpresentational State Transfer (REST) web service. We used Simulation of Urban MObility, OMNET++ and Veins to simulate a traffic incident dataset. Then, we tested the Basic Safety Messages in an experimental big data cluster. We used NIFI, Kafka and Cassandra for ingestion, distribution, delivery and storage. The results show accurate performance for packet loss, packet delivery and communication delay. Also, it indicates high throughput and low latency for distributed data delivery systems. Additionally, we obtained the smallest response time for the RESTFUL visualization web service.
Detecting Group Shilling Attacks In Recommender Systems Based On User Multi-dimensional Features And Collusive Behaviour Analysis
Authors: Xu Yishu , Zhang Peng , Yu Hongtao , Zhang Fuzhi 
Published: February 2023

Abstract
Group shilling attacks are more threatening than individual shilling attacks due to the collusive behaviours among group members, which pose a great challenge to the credibility of recommender systems. Detection of group shilling attacks can reduce the risk caused by such attacks and ensure the credibility of recommendations. The existing methods for detecting group shilling attacks mainly extract features from the rating patterns of users at group level to measure the shilling behaviours of groups. However, they may become ineffective with the change of attack strategy, resulting in a decrease in detection performance. Aiming at this problem, a new solution based on user multi-dimensional features and collusive behaviour analysis is presented for detecting group shilling attacks. First, we employ the information entropy and latent semantic analysis to analyse the user behavioural patterns from dimensions of item, rating, time and interest, and propose a suite of indicators to measure the anomaly behaviours of users. Second, we propose a measure based on the multi-dimensional features of users to capture the collusion of group members from the perspective of their synchronized behaviours and abnormal behaviours, and treat the groups with high collusion as candidate groups. Finally, based on the multi-dimensional features of users, we construct the user behaviour similarity matrix using Gaussian radial basis function (Gaussian-RBF) and adopt the spectral clustering algorithm to spot group shilling attackers in the candidate groups. Experiments show that the detection performance (F1-measure) of the proposed method can achieve 0.965, 0.964, 0.991 and 0.868 on the Netflix, CiaoDVD, Epinions and Amazon datasets, respectively, which is better than that of state-of-the-art methods.
Certificateless Broadcast Encryption with Authorization Suitable for Storing Personal Health Records
Authors: Chen Zhiwei , Deng Lunzhi , Ruan Yu , Feng Shuai , Wang Tao , Wang Bo 
Published: February 2023

Abstract
Cloud medical treatment provides real-time data sharing in a cost-effective method, making it more practical to create, collect and manage vast amounts of personal health records (PHR) of patients. However, health information is considered highly sensitive. How to securely store and dynamically process massive patients’ PHR data in a public cloud environment has become one of the most important challenges. Therefore, we introduce a novel solution to the problems of privacy exposure, data security and flexible access of storage modules in medical systems. In this paper, we present a privacy-preserving certificateless broadcast encryption with authorization for the PHR system, which is the best approach to effectively solve the above problems and avoid key escrow. In our work, users (patients) outsource their encrypted data to the cloud server and reallocate data accessing rights of recipients through an authorization set, sharing with a group of authorized receivers (doctors) in a secure and efficient manner. In addition, it is shown to be capable of achieving both plaintext confidentiality and receiver anonymity under the random oracle model. Moreover, the experimental evaluation shows that the proposed scheme enjoys low computational and communication overhead, indicating the feasibility and practicality of the scheme.
The concentration of edge betweenness in the evolution of planar graphs and street networks
Authors: Pichardo-Corpus J A 
Published: February 2023

AbstractThe centrality measures of the nodes and edges of the street networks are related to various urban phenomena. In particular, betweenness centrality correlates with the spatial distribution of economic activities, the levels of congestion, and the structural changes in cities. In this work, we study how betweenness tends to concentrate in a small set of edges and develop a model to analyse this concentration throughout the growth of graphs. We show that random planar graphs tend to betweenness concentration as the number of nodes increases. The evolution of Paris and Tijuana street networks shows the same behaviour but at a higher rate. A set of 300 street networks worldwide follows a similar relationship between the number of nodes and the betweenness concentration. We find a significant correlation between congestion ranks and betweenness concentration.
Combined Histological and Endoscopic Endpoints at Post-induction Lack Additional Prognostic Value Compared with Endoscopic Improvement Alone in Ulcerative Colitis: A Post hoc Analysis of the VARSITY study
Authors: Wong Emily C L , Dulai Parambir S , Hasan Badar , Marshall John K , Reinisch Walter , Narula Neeraj 
Published: February 2023

Abstract

Background and Aims
Evaluating histological outcomes in ulcerative colitis [UC] has become common in recent clinical trials. In this study, we explored the additional value of the combined endpoint of histo-endoscopic mucosal improvement [HEMI] compared with endoscopic improvement [EI] at post-induction [Week 14] and post-maintenance [1 year].

Methods
This post hoc analysis included 620 UC participants with available data from the VARSITY trial. Participants achieving post-induction and post-maintenance HEMI [Mayo endoscopic subscore ≤1 and Geboes score &lt;3.2] were compared across clinical outcomes, patient-reported outcomes [PROs], and inflammatory markers. Univariate analyses were performed to identify variables associated with the outcome of interest. Multivariate analyses included covariates with a p &lt;0.05 on univariate analyses.

Results
Among the 468 patients with 1-year data available, a total of 166 [35.5%] attained HEMI and 209 [44.7%] attained EI at post-induction. No difference in achievement of clinical remission [CR] at 1 year was observed among those who attained post-induction HEMI vs EI (121/166 [72.9%] vs 147/209 [70.3%], p = 0.903). Similar findings were observed for the outcome of 1-year treatment failure (45/166 [27.1%] vs 55/209 [26.3%], p = 0.781). Patients who achieved HEMI at post-induction had lower total and partial Mayo scores and had the largest improvement from baseline. Faecal calprotectin and C-reactive protein [CRP] were also significantly lower among HEMI achievers at post-induction [p &lt;0.001]. Similar findings were observed at post-maintenance.

Conclusions
In this post hoc analysis, at post-induction, HEMI did not demonstrate additional prognostic value in predicting 1-year outcomes over EI. However, HEMI was associated with lower clinical disease activity at post-induction and at 1 year compared with endoscopic or histological outcomes in isolation.
How Effective are Female Role Models in Steering Girls Towards STEM? Evidence from French High Schools
Authors: Breda Thomas , Grenet Julien , Monnet Marion , Van Effenterre Clémentine 
Published: February 2023

Abstract
We show in a large-scale field experiment that a brief exposure to female role models working in scientific fields affects high school students’ perceptions and choices of undergraduate major. The classroom interventions reduced the prevalence of stereotypical views on jobs in science and gender differences in abilities. They also made high-achieving girls in grade 12 more likely to enrol in selective and male-dominated science, technology, engineering and mathematics programs in college. Comparing treatment effects across the 56 role model participants, we find that the most effective interventions are those that improved students’ perceptions of science, technology, engineering and mathematics careers without overemphasising women’s under-representation in science.
Phylogenetic challenges in a recently diversified and polyploid-rich Alyssum (Brassicaceae) lineage: low divergence, reticulation, and parallel polyploid speciation
Authors: Španiel Stanislav , Šlenker Marek , Melichárková Andrea , Caboňová Michaela , Šandalová Michaela , Zeisek Vojtěch , Marhold Karol , Zozomová-Lihová Judita 
Published: February 2023

Abstract
Elucidating the evolution of recently diverged and polyploid-rich plant lineages may be challenging even with high-throughput sequencing, both for biological reasons and bioinformatic difficulties. Here, we apply target enrichment with genome skimming (Hyb-Seq) to unravel the evolutionary history of the Alyssum montanum-A. repens species complex. Reconstruction of phylogenetic relationships in diploids supported recent and rapid diversification accompanied by reticulation events. Of the 4 main clades identified among the diploids, 3 clades included species from the Alps, Apennine, and Balkan peninsulas, indicating close biogeographic links between these regions. We further focused on the clade distributed from the Western Alps to the Iberian Peninsula, which comprises numerous polyploids as opposed to a few diploids. Using a recently developed PhyloSD (phylogenomic subgenome detection) pipeline, we successfully tracked the ancestry of all polyploids. We inferred multiple polyploidization events that involved 2 closely related diploid progenitors, resulting into several sibling polyploids: 2 autopolyploids and 6 allopolyploids. The skewed proportions of major homeolog-types and the occurrence of some minor homeolog-types, both exhibiting geographic patterns, suggest introgression with the progenitors and other related diploids. Our study highlights a unique case of parallel polyploid speciation that was enhanced by ecological and geographic separation and provides an excellent resource for future studies of polyploid evolution.
Experimental evolution in the cyanobacterium Trichormus variabilis: increases in size and morphological diversity
Authors: Baselga-Cervera Beatriz , Jacobsen Kristin A , Ford Denison R , Travisano Michael 
Published: February 2023

Abstract
Cyanobacteria morphology has apparently remained almost unchanged for billions of years, exhibiting remarkable evolutionary stasis. Cyanobacteria appear to have reached their maximum morphological complexity in terms of size, modes of multicellularity, and cellular types by ~2 Ga. This contrasts with the increased complexity observed in other multicellular lineages, such as plants. Using experimental evolution, we show that morphological diversity can rapidly evolve in a species of filamentous cyanobacteria. Since size has such significance with regard to organismal complexity, we subjected the heterocyst-forming cyanobacterium Trichornus variabilis (syn. Anabaena variabilis) to selection for larger size. We observed increases in size of more than 30-fold, relative to the ancestral population, after 45 cycles of selection. Two distinguishable nascent morphological elaborations were identified in all the selected populations: Tangle (long, tangled filaments) and Cluster (clusters of short filaments) morphology. Growth from single cells indicates heritability of the evolved Tangle and Cluster morphological phenotypes. Cyanobacteria evolutionary conservatism is ascribed to developmental constraints, slow evolution rates, or ecological flexibility. These results open opportunities to study possibilities and constraints for the evolution of higher integrated biological levels of organization within this lineage.
Roles of second messengers in the regulation of cyanobacterial physiology: the carbon-concentrating mechanism and beyond
Authors: Mantovani Oliver , Haffner Michael , Selim Khaled A , Hagemann Martin , Forchhammer Karl 
Published: February 2023

AbstractSecond messengers are a fundamental category of small molecules and ions that are involved in the regulation of many processes in all domains of life. Here we focus on cyanobacteria, prokaryotes playing important roles as primary producers in the geochemical cycles due to their capability of oxygenic photosynthesis and carbon and nitrogen fixation. Of particular interest is the inorganic carbon-concentrating mechanism (CCM), which allows cyanobacteria to concentrate CO2 near RubisCO. This mechanism needs to acclimate toward fluctuating conditions, such as inorganic carbon availability, intracellular energy levels, diurnal light cycle, light intensity, nitrogen availability, and redox state of the cell. During acclimation to such changing conditions, second messengers play a crucial role, particularly important is their interaction with the carbon control protein SbtB, a member of the PII regulator protein superfamily. SbtB is capable of binding several second messengers, uniquely adenyl nucleotides, to interact with different partners in a variety of responses. The main identified interaction partner is the bicarbonate transporter SbtA, which is regulated via SbtB depending on the energy state of the cell, the light conditions, and different CO2 availability, including cAMP signaling. The interaction with the glycogen branching enzyme, GlgB, showed a role for SbtB in the c-di-AMP-dependent regulation of glycogen synthesis during the diurnal life cycle of cyanobacteria. SbtB has also been shown to impact gene expression and metabolism during acclimation to changing CO2 conditions. This review summarizes the current knowledge about the complex second messenger regulatory network in cyanobacteria, with emphasis on carbon metabolism.
Improvement of valine and isobutanol production in sake yeast by Ala31Thr substitution in the regulatory subunit of acetohydroxy acid synthase
Authors: Isogai Shota , Nishimura Akira , Murakami Naoyuki , Hotta Natsuki , Kotaka Atsushi , Toyokawa Yoichi , Ishida Hiroki , Takagi Hiroshi 
Published: February 2023

AbstractThe fruit-like aroma of two valine-derived volatiles, isobutanol and isobutyl acetate, has great impact on the flavour and taste of alcoholic beverages, including sake, a traditional Japanese alcoholic beverage. With the growing worldwide interest in sake, breeding of yeast strains with intracellular valine accumulation is a promising approach to meet a demand for sakes with a variety of flavour and taste by increasing the valine-derived aromas. We here isolated a valine-accumulating sake yeast mutant (K7-V7) and identified a novel amino acid substitution, Ala31Thr, on Ilv6, a regulatory subunit for acetohydroxy acid synthase. Expression of the Ala31Thr variant Ilv6 conferred valine accumulation on the laboratory yeast cells, leading to increased isobutanol production. Additionally, enzymatic analysis revealed that Ala31Thr substitution in Ilv6 decreased sensitivity to feedback inhibition by valine. This study demonstrated for the first time that an N-terminal arm conserved in the regulatory subunit of fungal acetohydroxy acid synthase is involved in the allosteric regulation by valine. Moreover, sake brewed with strain K7-V7 contained 1.5-fold higher levels of isobutanol and isobutyl acetate than sake brewed with the parental strain. Our findings will contribute to the brewing of distinctive sakes and the development of yeast strains with increased production of valine-derived compounds.
Synteny Identifies Reliable Orthologs for Phylogenomics and Comparative Genomics of the Brassicaceae
Authors: Walden Nora , Schranz Michael Eric 
Published: February 2023

AbstractLarge genomic data sets are becoming the new normal in phylogenetic research, but the identification of true orthologous genes and the exclusion of problematic paralogs is still challenging when applying commonly used sequencing methods such as target enrichment. Here, we compared conventional ortholog detection using OrthoFinder with ortholog detection through genomic synteny in a data set of 11 representative diploid Brassicaceae whole-genome sequences spanning the entire phylogenetic space. Then, we evaluated the resulting gene sets regarding gene number, functional annotation, and gene and species tree resolution. Finally, we used the syntenic gene sets for comparative genomics and ancestral genome analysis. The use of synteny resulted in considerably more orthologs and also allowed us to reliably identify paralogs. Surprisingly, we did not detect notable differences between species trees reconstructed from syntenic orthologs when compared with other gene sets, including the Angiosperms353 set and a Brassicaceae-specific target enrichment gene set. However, the synteny data set comprised a multitude of gene functions, strongly suggesting that this method of marker selection for phylogenomics is suitable for studies that value downstream gene function analysis, gene interaction, and network studies. Finally, we present the first ancestral genome reconstruction for the Core Brassicaceae which predating the Brassicaceae lineage diversification ∼25 million years ago.
Decreasing Incidence and Prevalence of Dementia Among Octogenarians: A Population-Based Study on 3 Cohorts Born 30 Years Apart
Authors: Wetterberg Hanna , Najar Jenna , Rydberg Sterner Therese , Rydén Lina , Falk Erhag Hanna , Sacuiu Simona , Kern Silke , Zettergren Anna , Skoog Ingmar 
Published: February 2023

Abstract

Background
Recent studies suggest a decline in the age-specific incidence and prevalence of dementia. However, results are mixed regarding trends among octogenarians. We investigated time trends in the prevalence and incidence of dementia in 3 population-based cohorts of 85–90-year olds. We also examined if there were different time trends for men and women.

Methods
We examined population-based birth cohorts within the Gothenburg H70 Birth Cohort Studies born 1901–02, 1923–24, and 1930, at ages 85 (N = 1481) and 88 (N = 840) years. The first 2 cohorts were also examined at age 90 (N = 450). The incidence was examined in 1 109 individuals free from dementia at baseline using information from the examination at age 88 or register data. All 3 cohorts were examined with identical methods.

Results
The prevalence of dementia decreased from 29.8% in 1986–87 to 21.5% in 2008–10 and 24.5% in 2015–16 among 85-year olds, and from 41.9% in 1989–90 to 28.0% in 2011–12 to 21.7% in 2018–19 among 88-year olds, and from 41.5% in 1991–92 to 37.2% in 2013–14 among 90-year olds. The decline was most accentuated among women. The incidence of dementia per 1 000 risk-years from ages 85 to 89 declined from 48.8 among those born 1901–02 to 37.9 in those born 1923–24 to 22.5 among those born 1930.

Conclusions
The prevalence and incidence of dementia decreased substantially over 3 decades among octogenarians. This might slow down the projected increase in cases of dementia expected by the increasing number of octogenarians during the following decades.
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study
Authors: Ostropolets Anna , Albogami Yasser , Conover Mitchell , Banda Juan M , Baumgartner William A , Blacketer Clair , Desai Priyamvada , DuVall Scott L , Fortin Stephen , Gilbert James P , Golozar Asieh , Ide Joshua , Kanter Andrew S , Kern David M , Kim Chungsoo , Lai Lana Y H , Li Chenyu , Liu Feifan , Lynch Kristine E , Minty Evan , Neves Maria Inês , Ng Ding Quan , Obene Tontel , Pera Victor , Pratt Nicole , Rao Gowtham , Rappoport Nadav , Reinecke Ines , Saroufim Paola , Shoaibi Azza , Simon Katherine , Suchard Marc A , Swerdel Joel N , Voss Erica A , Weaver James , Zhang Linying , Hripcsak George , Ryan Patrick B 
Published: February 2023

Abstract

Objective
Observational studies can impact patient care but must be robust and reproducible. Nonreproducibility is primarily caused by unclear reporting of design choices and analytic procedures. This study aimed to: (1) assess how the study logic described in an observational study could be interpreted by independent researchers and (2) quantify the impact of interpretations’ variability on patient characteristics.

Materials and Methods
Nine teams of highly qualified researchers reproduced a cohort from a study by Albogami et al. The teams were provided the clinical codes and access to the tools to create cohort definitions such that the only variable part was their logic choices. We executed teams’ cohort definitions against the database and compared the number of subjects, patient overlap, and patient characteristics.

Results
On average, the teams’ interpretations fully aligned with the master implementation in 4 out of 10 inclusion criteria with at least 4 deviations per team. Cohorts’ size varied from one-third of the master cohort size to 10 times the cohort size (2159–63 619 subjects compared to 6196 subjects). Median agreement was 9.4% (interquartile range 15.3–16.2%). The teams’ cohorts significantly differed from the master implementation by at least 2 baseline characteristics, and most of the teams differed by at least 5.

Conclusions
Independent research teams attempting to reproduce the study based on its free-text description alone produce different implementations that vary in the population size and composition. Sharing analytical code supported by a common data model and open-source tools allows reproducing a study unambiguously thereby preserving initial design choices.