bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
Authors: Misra Gauri , Manzoor Ashrat , Chopra Meenu , Upadhyay Archana , Katiyar Amit , Bhushan Brij , Anvikar Anup 
Published: September 2023

AbstractThe various strains and mutations of SARS-CoV-2 have been tracked using several forms of genomic classification systems. The present study reports high-throughput sequencing and analysis of 99 SARS-CoV-2 specimens from Western Uttar Pradesh using sequences obtained from the GISAID database, followed by phylogeny and clade classification. Phylogenetic analysis revealed that Omicron lineages BA-2-like (55.55%) followed by Delta lineage-B.1.617.2 (45.5%) were predominantly circulating in this area Signature substitution at positions S: N501Y, S: D614G, S: T478K, S: K417N, S: E484A, S: P681H, and S: S477N were commonly detected in the Omicron variant-BA-2-like, however S: D614G, S: L452R, S: P681R and S: D950N were confined to Delta variant-B.1.617.2. We have also identified three escape variants in the S gene at codon position 19 (T19I/R), 484 (E484A/Q), and 681 (P681R/H) during the fourth and fifth waves in India. Based on the phylogenetic diversification studies and similar changes in other lineages, our analysis revealed indications of convergent evolution as the virus adjusts to the shifting immunological profile of its human host. To the best of our knowledge, this study is an approach to comprehensively map the circulating SARS-CoV-2 strains from Western Uttar Pradesh using an integrated approach of whole genome sequencing and phylogenetic analysis. These findings will be extremely valuable in developing a structured approach toward pandemic preparedness and evidence-based intervention plans in the future.
Majority rule can help solve difficult tasks even when confident members opt out to serve individual interests
Authors: Kuroda Kiri , Takahashi Mayu , Kameda Tatsuya 
Published: September 2023

AbstractWhen sharing a common goal, confident and competent members are often motivated to contribute to the group, boosting its decision performance. However, it is unclear whether this process remains effective when members can opt in or out of group decisions and prioritize individual interests. Our laboratory experiment (n = 63) and cognitive modeling showed that at the individual level, confidence, competence, and a preference for risk motivated participants’ opt-out decisions. We then analyzed the group-level accuracy of majority decisions by creating many virtual groups of 25 members resampled from the 63 participants in the experiment. Whereas the majority decisions by voters who preferred to participate in group decision making were inferior to individual decisions by loners who opted out in an easy task, this was reversed in a difficult task. Bootstrap-simulation analyses decomposed these outcomes into the effects of a decrease in group size and a decrease in voters’ accuracy accruing from the opt-in/out mechanism, demonstrating how these effects interacted with task difficulty. Our results suggest that the majority rule still works to tackle challenging problems even when individual interests are emphasized over collective performance, playing a functional as well as a democratic role in consensus decision making under uncertainty.
The SGLT2 inhibitor canagliflozin suppresses growth and enhances prostate cancer response to radiotherapy
Authors: Ali Amr , Mekhaeil Bassem , Biziotis Olga-Demetra , Tsakiridis Evangelia E. , Ahmadi Elham , Wu Jianhan , Wang Simon , Singh Kanwaldeep , Menjolian Gabe , Farrell Thomas , Mesci Aruz , Liu Stanley , Berg Tobias , Bramson Jonathan L. , Steinberg Gregory R. , Tsakiridis Theodoros 
Published: September 2023

AbstractRadiotherapy is a non-invasive standard treatment for prostate cancer (PC). However, PC develops radio-resistance, highlighting a need for agents to improve radiotherapy response. Canagliflozin, an inhibitor of sodium-glucose co-transporter-2, is approved for use in diabetes and heart failure, but is also shown to inhibit PC growth. However, whether canagliflozin can improve radiotherapy response in PC remains unknown. Here, we show that well-tolerated doses of canagliflozin suppress proliferation and survival of androgen-sensitive and insensitive human PC cells and tumors and sensitize them to radiotherapy. Canagliflozin blocks mitochondrial respiration, promotes AMPK activity, inhibits the MAPK and mTOR-p70S6k/4EBP1 pathways, activates cell cycle checkpoints, and inhibits proliferation in part through HIF-1α suppression. Canagliflozin mediates transcriptional reprogramming of several metabolic and survival pathways known to be regulated by ETS and E2F family transcription factors. Genes downregulated by canagliflozin are associated with poor PC prognosis. This study lays the groundwork for clinical investigation of canagliflozin in PC prevention and treatment in combination with radiotherapy.
Simplifying glycan monitoring of complex antigens such as the SARS-CoV-2 spike to accelerate vaccine development
Authors: Sauvageau Janelle , Koyuturk Izel , St. Michael Frank , Brochu Denis , Goneau Marie-France , Schoenhofen Ian , Perret Sylvie , Star Alexandra , Robotham Anna , Haqqani Arsalan , Kelly John , Gilbert Michel , Durocher Yves 
Published: September 2023

AbstractGlycosylation is a key quality attribute that must be closely monitored for protein therapeutics. Established assays such as HILIC-Fld of released glycans and LC-MS of glycopeptides work well for glycoproteins with a few glycosylation sites but are less amenable for those with multiple glycosylation sites, resulting in complex datasets that are time consuming to generate and difficult to analyze. As part of efforts to improve preparedness for future pandemics, researchers are currently assessing where time can be saved in the vaccine development and production process. In this context, we evaluated if neutral and acidic monosaccharides analysis via HPAEC-PAD could be used as a rapid and robust alternative to LC-MS and HILIC-Fld for monitoring glycosylation between protein production batches. Using glycoengineered spike proteins we show that the HPAEC-PAD monosaccharide assays could quickly and reproducibly detect both major and minor glycosylation differences between batches. Moreover, the monosaccharide results aligned well with those obtained by HILIC-Fld and LC-MS.
In-gap band formation in a periodically driven charge density wave insulator
Authors: Osterkorn Alexander , Meyer Constantin , Manmana Salvatore R. 
Published: September 2023

AbstractModern time-resolved spectroscopy experiments on quantum materials raise the question, how strong electron-electron interactions, in combination with periodic driving, form unconventional transient states. Here we show using numerically exact methods that in a driven strongly interacting charge-density-wave insulator a band-like resonance in the gap region is formed. We associate this feature to the so-called Villain mode in quantum-magnetic materials, which originates in moving domain walls induced by the interaction. We do not obtain the in-gap band when driving a non-interacting charge density wave model. In contrast, it appears in the interacting system also in equilibrium at intermediate temperatures and in the short-time evolution of the system after a quantum quench to the lowest-order high-frequency effective Floquet Hamiltonian. Our findings connect the phenomenology of a periodically driven strongly correlated system and its quench dynamics to the finite-temperature dynamical response of quantum-magnetic materials and will be insightful for future investigations of strongly correlated materials in pump-probe setups.
Universal structural patterns in sparse recurrent neural networks
Authors: Zhang Xin-Jie , Moore Jack Murdoch , Yan Gang , Li Xiang 
Published: September 2023

AbstractSparse neural networks can achieve performance comparable to fully connected networks but need less energy and memory, showing great promise for deploying artificial intelligence in resource-limited devices. While significant progress has been made in recent years in developing approaches to sparsify neural networks, artificial neural networks are notorious as black boxes, and it remains an open question whether well-performing neural networks have common structural features. Here, we analyze the evolution of recurrent neural networks (RNNs) trained by different sparsification strategies and for different tasks, and explore the topological regularities of these sparsified networks. We find that the optimized sparse topologies share a universal pattern of signed motifs, RNNs evolve towards structurally balanced configurations during sparsification, and structural balance can improve the performance of sparse RNNs in a variety of tasks. Such structural balance patterns also emerge in other state-of-the-art models, including neural ordinary differential equation networks and continuous-time RNNs. Taken together, our findings not only reveal universal structural features accompanying optimized network sparsification but also offer an avenue for optimal architecture searching.
Slow growing bacteria survive bacteriophage in isolation
Authors: Attrill Erin L , Łapińska Urszula , Westra Edze R , Harding Sarah V , Pagliara Stefano 
Published: September 2023

Abstract
The interactions between bacteria and bacteriophage have important roles in the global ecosystem; in turn changes in environmental parameters affect the interactions between bacteria and phage. However, there is a lack of knowledge on whether clonal bacterial populations harbour different phenotypes that respond to phage in distinct ways and whether the abundance of such phenotypes within bacterial populations is affected by variations in environmental parameters. Here we study the impact of variations in nutrient availability, bacterial growth rate and phage abundance on the interactions between the phage T4 and individual Escherichia coli cells confined in spatial refuges. Surprisingly, we found that fast growing bacteria survive together with all of their clonal kin cells, whereas slow growing bacteria survive in isolation. We also discovered that the number of bacteria that survive in isolation decreases at increasing phage doses possibly due to lysis inhibition in the presence of secondary adsorptions. We further show that these changes in the phenotypic composition of the E. coli population have important consequences on the bacterial and phage population dynamics and should therefore be considered when investigating bacteria-phage interactions in ecological, health or food production settings in structured environments.
Deep‐sea image stitching: Using multi‐channel fusion and improved AKAZE
Authors: Yuan Ping , Fan Chunling , Zhang Chuntang 
Published: September 2023

AbstractDeep‐sea image is of great significance for exploring seabed resources. However, the information of a single image is limited. Besides, deep‐sea image with low contrast and colour distortion further restricts useful feature extraction. To address the issues above, this paper presents a multi‐channel fusion and accelerated‐KAZE (AKAZE) feature detection algorithm for deep‐sea image stitching. First, the authors restore deep‐sea image in LAB colour space and RGB colour space, respectively; in LAB space, the authors use homomorphic filtering in L colour channel, and in RGB space, the authors adopt multi‐scale Retinex with chromaticity preservation algorithm to adjust the colour information. Then, the authors blend two pre‐processed images with dark channel prior weighted coefficient. After that, the authors detect feature points with the AKAZE algorithm and obtain feature descriptors with Boosted Efficient Binary Local Image Descriptor. Finally, the authors match the feature points and warp deep‐sea images to obtain the stitched image. Experimental results demonstrate that the authors’ method generates high‐quality stitched image with minimized seam. Compared with state‐of‐the‐art algorithms, the proposed method has better quantitative evaluation, visual stitching results, and robustness.
Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type
Authors: Guo Yudong , Yang Fei , Yan Haomin , Xie Siyuan , Liu Haode , Dai Zhuang 
Published: September 2023

AbstractCellular data is a sequence of base station‐interaction data that records user ID, timestamp, location area code (LAC), and cell identity (CID). With long observation periods, the data allows traffic planners to analyze coarse‐granularity user travel behaviours at low costs. However, utilizing cellular data for urban planning is not an easy task as the data lacks user socioeconomic attributes due to privacy issues. The data is also challenging to recognize user activity types. This paper proposed an activity‐based model (ABM) with skeleton schedule constraints for multi‐day cellular data. The model first infers the activity pattern and home location. Then it predicts start time, duration, and locations separately for primary and secondary activities. Next, the model infers the travel mode and path considering user multi‐day travel behaviour, path non‐linear coefficient, and transfers. Finally, a time adjustment module is proposed to avoid time conflicts in consecutive activities. The proposed activity‐based model is validated at activity, travel, and path levels. Results show that the proposed model can effectively predict activities and has much higher stability than existing ABMs based on travel surveys.
Enhanced asymmetrical modulation for half‐bridge series resonant inverters in induction heating applications
Authors: Esteve Vicente , Jordán José , Dede Enrique J. , Bellido Juan L. 
Published: September 2023

AbstractThis paper presents a method that improves the reliability of half‐bridge (HB) series resonant inverters (SRI) for high‐frequency induction heating applications. Many industrial processes, like induction heat treatments, are very repetitive. This cyclical operation represents a strong limitation of the inverter's reliability, mainly due to the accelerated stress of the power semiconductors. This method consists in an enhanced asymmetrical pulse width modulation (EAPWM) that allows distributing the losses across the components, thereby reducing the cyclic increase in junction temperature of the power devices, and thus achieves a reliability that is more than twice as high as that achieved using traditional modulation methods. The work methodology includes a theoretical study of the HB inverter and a complete analysis of losses. The presented design rules have been used to implement a 25 kW, 100 kHz inverter. The use of silicon carbide (SiC) MOSFET transistors allows reaching an efficiency greater than 99%. The analytical results obtained have been experimentally validated by testing the inverter on an induction heating test bench.
Kantonale Unterschiede bei der Umsetzung der fürsorgerischen
Unterbringung in der Schweiz
Authors: Jäger Matthias , Hotzy Florian , Traber Rafael , Morandi Stéphane , Schneeberger Andres Ricardo , Spiess Manuela , Ruflin Regula , Theodoridou Anastasia 
Published: September 2023

Zusammenfassung
Ziel der Studie Untersuchung von soziodemographischen und klinischen
Charakteristika von Personen, die in fünf psychiatrischen Kliniken aus
Regionen mit unterschiedlichen Strukturmerkmalen untergebracht wurden, im
Vergleich zu Personen mit freiwilligen Hospitalisationen.
Methodik Deskriptive Auswertungen der Routinedaten von rund 57000
Fällen von 33000 Patientinnen, die von 2016 bis 2019 aufgrund einer
psychiatrischen Primärdiagnose nach ICD-10 in einer der teilnehmenden
Kliniken behandelt wurden.
Ergebnisse Unterbringungsraten, Aufenthaltsdauer, Quoten weiterer
Zwangsmassnahmen, soziodemographische und klinische Charakteristika der
betroffenen Klientel unterscheiden sich zwischen den verschiedenen Regionen.
Schlussfolgerung Es bestehen erhebliche regionale Unterschiede zwischen
Regelungen und Umsetzung der Unterbringungsverfahren und bei der betroffenen
Klientel. Kausale Zusammenhänge zwischen regionalen Spezifika und den
Ergebnissen können nicht konkludiert werden.
Recent Progress on the Zweifel Olefination: An Update
Authors: Song Qiuling , Li Xin 
Published: September 2023

AbstractOver the past several decades, the Zweifel olefination has emerged as one of the most powerful and reliable tools for constructing C–C double bonds. This reaction features high efficiency, good versatility, avoids the use of transition metals, and typically affords perfect stereospecificity, making it superior to many other olefination methods. Since Aggarwal’s summary of the 50-year history of the Zweifel olefination in 2017, remarkable achievements have been made in terms of employing new organometallic species, performing reactions through electrochemical or photochemical pathways, and developing methods that furnish new types of products. This short review summarizes and discusses the very recent progress made on the Zweifel olefination and its latest applications in the synthesis of natural products.1	Introduction2	Zweifel Olefination with New Organometallic Species3	Zweifel Olefination with New Migrating Groups4	Electrochemical and Photocatalyzed Zweifel Olefinations5	New Elimination and Migration Patterns Involving the Zweifel Olefination6	Zweifel Olefination in Natural Product Synthesis7	Other Reactions Involving the Zweifel Olefination Mechanism8	Conclusions and Outlook
Amniotic Sludge and Prematurity: Systematic Review and Meta-analysis
Authors: Pannain Gabriel Duque , Pereira Ana Maria Gomes , Rocha Maria Luiza Toledo Leite Ferreira da , Lopes Reginaldo Guedes Coelho 
Published: September 2023

Abstract
Objective To perform a systematic review and meta-analysis of studies on maternal, fetal, and neonatal outcomes of women with singleton pregnancies, after spontaneous conception, and with the diagnosis of amniotic sludge before 37 weeks of gestational age.
Data Sources We conducted a search on the PubMed, Cochrane, Bireme, and Theses databases until June 2022.
Selection of Studies Using the keywords intra-amniotic sludge or fluid sludge or echogenic particles, we found 263 articles, 132 of which were duplicates, and 70 were discarded because they did not meet the inclusion criteria.
Data Collection The articles retrieved were analyzed by 2 reviewers; 61 were selected for full-text analysis, 18 were included for a qualitative analysis, and 14, for a quantitative analysis.
Data Synthesis Among the maternal outcomes analyzed, there was an increased risk of preterm labor (95% confidence interval [95%CI]: 1.45–2.03), premature rupture of ovular membranes (95%CI: 1.99–3.79), and clinical (95%CI: 1.41–6.19) and histological chorioamnionitis (95%CI: 1.75–3.12). Regarding the fetal outcomes, there was a significant increase in the risk of morbidity (95%CI: 1.80–3.17), mortality (95%CI: 1.14–18.57), admission to the Neonatal Intensive Care Unit (NICU; 95%CI: 1.17–1.95), and neonatal sepsis (95%CI: 2.29–7.55).
Conclusion The results of the present study indicate that the presence of amniotic sludge is a risk marker for preterm delivery. Despite the heterogeneity of the studies analyzed, even in patients with other risk factors for prematurity, such as short cervix and previous preterm delivery, the presence of amniotic sludge increases the risk of premature labor. Moreover, antibiotic therapy seems to be a treatment for amniotic sludge, and it may prolong pregnancy.
Comparison Between the Effect of the Information–Motivation–Behavioral (IMB) Model and Psychoeducational Counseling on Sexual Satisfaction and Contraception Method Used Under the Coercion of the Spouse in Iranian Women: A Randomized, Clinical Trial
Authors: Zarbaf Alieh , Ahmadi Atefeh , Rafati Elahe , Ghorbani Faezeh , Pour Masumeh Ghazanfar , Alidousti Katayoun 
Published: September 2023

Abstract
Objective Women play an essential role in maintaining the family's health, and family planning is part of women's and families' health. The couple's mutual understanding of family planning methods is essential in selecting contraception. Acceptance of and satisfaction with different contraception methods can impact sexual satisfaction. The present study aimed to compare the effect of the information-motivation-behavioral (IMB) model and psychoeducational counseling on sexual satisfaction and contraception methods of women referring to health centers in Kerman.
Methods This trial was conducted on 81 women aged 18 to 45, in Kerman health centers, from 2021 to 2022. Participants were randomly divided into 3 groups of 27 people (control, psychoeducational counseling, and IMB method). Three online counseling sessions were held for the psychoeducational group, and four were held for the IMB group. The control group received routine care. The IBM SPSS Statistics for Windows, version 22 (IBM Corp. Armonk, NY, USA) was used for data analysis using nonparametric Friedman and Kruskal-Wallis tests.
Results The mean age of participants was 32.59 ± 7.04, and the majority of them had university degrees and were homemakers. The mean sexual satisfaction score significantly increased immediately after the intervention and 1 month later in the 2 interventional groups (p < 0.0). Changes in contraception methods after intervention were significant in the psychoeducational group (p = 0.0)
Conclusion The results indicate the positive impact of psychological counseling on women's sexual satisfaction and contraception method. The IMB method also impacted men's sexual satisfaction but did not lead to any changes in the contraceptive method.
Recommendations for the Screening of Breast Cancer of the Brazilian College of Radiology and Diagnostic Imaging, Brazilian Society of Mastology and Brazilian Federation of Gynecology and Obstetrics Association
Authors: Urban Linei Augusta Brolini Delle , Chala Luciano Fernandes , Paula Ivie Braga de , Bauab Selma di Pace , Schaefer Marcela Brisighelli , Oliveira Ana Lúcia Kefalás , Shimizu Carlos , Oliveira Tatiane Mendes Gonçalves de , Moraes Paula de Camargo , Miranda Beatriz Medicis Maranhão , Aduan Flávia Engel , Rego Salete de Jesus Fonseca , Canella Ellyete de Oliveira , Couto Henrique Lima , Badan Gustavo Machado , Francisco José Luis Esteves , Moraes Thaís Paiva , Jakubiak Rosangela Requi , Peixoto João Emílio 
Published: September 2023

Abstract
Objective To present the update of the recommendations of the Brazilian College of Radiology and Diagnostic Imaging, the Brazilian Society of Mastology and the Brazilian Federation of Associations of Gynecology and Obstetrics for breast cancer screening in Brazil.
Methods Scientific evidence published in Medline, EMBASE, Cochrane Library, EBSCO, CINAHL and Lilacs databases between January 2012 and July 2022 was searched. Recommendations were based on this evidence by consensus of the expert committee of the three entities.
Recommendations Annual mammography screening is recommended for women at usual risk aged 40–74 years. Above 75 years, it should be reserved for those with a life expectancy greater than seven years. Women at higher than usual risk, including those with dense breasts, with a personal history of atypical lobular hyperplasia, classic lobular carcinoma in situ, atypical ductal hyperplasia, treatment for breast cancer or chest irradiation before age 30, or even, carriers of a genetic mutation or with a strong family history, benefit from complementary screening, and should be considered individually. Tomosynthesis is a form of mammography and should be considered in screening whenever accessible and available.