bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testosterone treatment reveals marked sex differences in song diversity and syllable syntax in adult canaries
Authors: Santos Ednei B. dos , Ball Gregory F. , Logue David M , Cornil Charlotte A , Balthazart Jacques 
Published: April 2023

Abstract
Background. Behavioral sex differences are widespread in the animal world. These differences can be qualitative (i.e., behavior present in one sex but not the other, a true sex dimorphism) or quantitative (behavior is present at a higher rate or quality in one sex compared to the other). Singing in oscine songbirds is associated with both types of differences. In canaries, female rarely sing spontaneously but they can be induced to do so by treatments with steroids. Song in these females is however not fully masculinized and exhibits relatively subtle differences in quality as compared with male song. We analyzed here sex differences in syllable content and syllable use between singing male and female canaries.
Methods. Songs were recorded from 3 groups of castrated male and 3 groups of photoregressed female canaries that had received Silastic™ implants filled with testosterone (T), with T plus estradiol (E2), or left empty (control). After 6 weeks of hormone treatment, 30 songs were recorded from each of the 47 subjects. Songs were segmented and each syllable was annotated. Various metrics of syllable diversity were extracted and network analysis was employed to characterize syllable sequences.
Results. Male and female songs were characterized by marked sex differences related to syllable use. Compared to females, males had a larger syllable type repertoire and their songs contained more syllable types. Network analysis of syllable sequences showed that males follow more fixed patterns of syllable transitions than females. Both sexes however produced song of the same duration containing the same number of syllables produced at similar rates (numbers per second).
Conclusions. Under the influence of T canaries of both sexes are able to produce generally similar vocalizations that nevertheless differ in specific ways. The development of song during ontogeny appears to be a very sophisticated process that is presumably based on genetic and endocrine mechanisms but also on specific learning processes. These data highlight the importance of detailed behavioral analyses in order to identify the many dimensions of a behavior that can differ between males and females.
Psychometric evaluation of the Chinese version of the Elderly- Constipation Impact Scale: A translation and validation study
Authors: Zheng Chen , Yang Zhen , Kong Linghui , Gao Ziyun , Lu Tingting , Zhang Huijun 
Published: April 2023

AbstractObjectiveThe objective of this study was to translate the Elderly-Constipation Impact Scale into Chinese and to examine its reliability and validity in a population of older people suffering from chronic constipation.MethodsA total of 564 elderly chronically constipated patients were recruited for this study. The general information questionnaire and the Chinese version of the Elderly-Constipation Impact Scale (E-CIS) were used to survey them. The reliability of the Chinese questionnaire is assessed by internal consistency, split-half reliability, and retest reliability. Content validity indicators and structural validity indicators were used to assess the validity of the scale.ResultsThe Chinese version of the Constipation Impact Scale for the Elderly has an appropriate level of reliability. The split-half reliability is 0.736 and the stability is 0. 763. The content validity and structural validity indicators are within reasonable limits.ConclusionThe Chinese version of the E-CIS has good reliability and validity in the chronic constipation population of the elderly. The results of the questionnaire can effectively and comprehensively reflect the impact of chronic constipation on the quality of life of the elderly. It provides a meaningful reference for identifying targets for intervention.
Protein language models can capture protein quaternary state
Authors: Avraham Orly , Tsaban Tomer , Ben-Aharon Ziv , Tsaban Linoy , Schueler-Furman Ora 
Published: April 2023

Abstract
Background:
Determining a protein’s quaternary state, i.e. the number of monomers in a functional unit, is a critical step in protein characterization. Many proteins form multimers for their activity, and over 50% are estimated to naturally form homomultimers. Experimental quaternary state determination can be challenging and require extensive work. To complement these efforts, a number of computational tools have been developed for quaternary state prediction, often utilizing experimentally validated structural information. Recently, dramatic advances have been made in the field of deep learning for predicting protein structure and other characteristics. Protein language models, such as ESM-2, that apply computational natural-language models to proteins successfully capture secondary structure, protein cell localization and other characteristics, from a single sequence. Here we hypothesize that information about the protein quaternary state may be contained within protein sequences as well, allowing us to benefit from these novel approaches in the context of quaternary state prediction.
Results:
We generated ESM-2 embeddings for a large dataset of proteins with quaternary state labels from the curated QSbio dataset. We trained a model for quaternary state classification and assessed it on a non-overlapping set of distinct folds (ECOD family level). Our model, named QUEEN (QUaternary state prediction using dEEp learNing), performs worse than approaches that include information from solved crystal structures. However, it successfully learned to distinguish multimers from monomers, and predicts the specific quaternary state with moderate success, better than simple sequence similarity-based annotation transfer. Our results demonstrate that complex, quaternary state related information is included in such embeddings.
Conclusions:
QUEEN is the first to investigate the power of embeddings for the prediction of the quaternary state of proteins. As such, it lays out strengths as well as limitations of a sequence-based protein language model approach, compared to structure-based approaches. Since it does not require any structural information and is fast, we anticipate that it will be of wide use both for in-depth investigation of specific systems, as well as for studies of large sets of protein sequences. A simple colab implementation is available at:
https://colab.research.google.com/github/Orly-A/QUEEN_prediction/blob/main/QUEEN_prediction_notebook.ipynb.
A duct design for reducing corrosion
Authors: Shimada Michiya 
Published: April 2023

Abstract
Liquid metals corrode structure materials in fusion, fission, and spallation application. A duct strongly cooled on the outside surface is proposed to mitigate or eliminate the corrosion problem. A solid metal layer formed between the cool duct (Tduct<Tmelt) and the liquid metal could serve as an interface to protect the duct from corrosion.
Development of new c-Met inhibitors and application of corresponding multi target tyrosine kinase inhibitors in tumor therapy
Authors: Zeng Xiangcong , Hu Yuanwen , Xu Zhi , Wu Xiaoyu , Xiong Yun , Liu Shengpeng 
Published: April 2023

Abstract
With the continuous progress of the times, lung cancer has gradually emerged in people's lives, which has a significant impact on human health. Tumor targeting is mainly used to treat specific abnormal targets in human tumor cells or tissues, and eliminate tumor cell specific lesions by blocking signal and metabolic pathways. In this article, we developed a new type of c-Met inhibitor, and analyzed its application in tumor therapy together with a multi target tyrosine kinase inhibitor. In this experiment, six compounds were screened, one of which was used as a positive control to evaluate the kinase inhibitory activity of candidate compounds. In this test, the dilution concentration grade, dilution gradient grade and porosity are taken as the dependent variables of each compound, and different results are obtained by adjusting each factor. The detection of c-Met kinase activity showed that c-Met inhibitors showed good kinase inhibitory activity. The results of inhibitory activity test showed that SIPI6931 compound on EGFR, KDR, c-Met kinase showed weak inhibitory activity, and had strong tolerance to SNU-5 cells combined with SIPI6931 compound cell activity. In this paper, the combination of new c-Met inhibitors and multi target tyrosine kinase inhibitors has greatly promoted the development of tumor therapy.
COVID-19-related Adolescent Mortality and Morbidity in nineteen European countries
Authors: CORTES JESUS DAVID DAVID , AGUIAR PEDRO , Ferrinho Paulo 
Published: April 2023

Abstract
Prior to the COVID-19 pandemic, adolescents in most countries experienced a syndemic of malnutrition, obesity, deprivation, mental health problems, inequalities, and the effects of climate change. Today, other factors have added to this burden during the pandemic, and it's important a reflection on their relationship with mortality and morbidity. Three double models were fitted to analyze the relationship between different factors with the number of diagnosed cases and deaths. The 1a and 1b use a multiple Poisson regression. The 2a and 2b are optimized models that use the same variables as prior models but with backward selection with a p-value <0.05 as the limit. Finally, the 3a and 3b models (backward stepwise multivariable Poisson regression) include the variable "fully vaccinated." All models used the at-risk population (15-19 years or total population) as a regression covariate ( Increased Access to quality healthcare (IRR 0.68; CI 0.55-0.84), increased private sector involvement (IRR 0.86; CI 0.82-0.90), Gini coefficient (IRR 0.93; CI 0.88-0.99), and full vaccination (IRR 0.94; CI 0.90-0.99), represent protective factors of COVID-19 mortality in this population Being fully vaccinated and having Access to quality medical care are protective factors against COVID-19 mortality in this age group. Interestingly, the more Pollution, the greater the risk of dying from COVID-19. We stress the great importance of coordination between the public and private sectors to address crises such as the current one.
Safety and efficacy of biological agents in the treatment of Systemic Lupus Erythematosus (SLE)
Authors: Chan Justin , Puri Prianka , Jiang Simon H , Walters Giles D 
Published: April 2023

Abstract
Background: To determine the safety and efficacy of biological agents used in the treatment of systemic lupus erythematosus (SLE) in adults.
Methods: Systematic review and meta-analysis following PRISMA guidelines
Data sources: MEDLINE (through Pubmed), EMBASE, Cochrane library, Clinicaltrials.gov, Australianclinicaltrials.gov.au, ANZCTR.org.au and WHO International Clinical Trials Registry Platform for studies published from 20 May 2021 and 15 years prior. A grey literature search was performed and completed on 31 May 2021.
Study criteria: Phase II, III or quasi randomised controlled trials, studies with only cerebral or cutaneous lupus were excluded. Data extraction: Two authors independently screened studies for eligibility, extracted, reviewed data for accuracy, and used the Cochrane tool to assess risk of bias.
Results: 44 studies were identified, consisting of 15 groups of drugs and 25 different biological agents, totalling 16889 patients. The main outcomes assessed included Systemic Lupus Erythematosus Responder Index (SRI), BILAG-Based Composite Lupus Assessment (BICLA) and combined combined/partial renal remission (CRR/PRR).
Four groups of biologics were found to improve outcomes. Anti-interferons: Anifrolumab increased BICLA response and SRI 5 to 8, decreased prednisone dosages, with increased herpes zoster infections, but fewer serious adverse events. Sifalimumab improved SRI but also increased herpes zoster infections. Anti BAFF/BLyS and/or APRIL: Belimumab consistently improved SRI 4, decreased prednisone dosages, increased combined CRR/PRR, and had no adverse safety outcomes. Tabalumab increased SRI 5 at 52 weeks with no steroid sparing effect but was associated with increased infusion related adverse events. Telitacicept improved SRI 4 at 52 weeks, with no increased adverse events, though data was rather sparse. Anti CD-20 monoclonal antibody, Obinutuzumab increased combined CRR/PRR at 1 and 2 years. Anti IL12/23 monoclonal antibody, Ustekinumab, increased SRI 4 to 6, but not BICLA at 24 weeks, with no concerning safety outcomes.
Conclusion: Multiple biologic agents are shown in high quality studies to have a significant therapeutic impact on outcomes in SLE.
Homozygosity mapping in the Kazakh national dog breed Tazy
Authors: Perfilyeva Anastassiya , Bespalova Kira , Bespalov Sergey , Begmanova Мamura , Kuzovleva Yelena , Vishnyakova Olga , Nazarenko Inna , Abylkassymova Gulnar , Perfilyeva Yuliya , Plakhov Konstantin , Bekmanov Bakhytzhan , Djansugurova Leyla 
Published: April 2023

Abstract
The identification of runs of homozygosity (ROH) is an informative approach to assessing the history and possible patterns of directional selection pressure. To our knowledge, the present study is the first to provide an overview of the ROH pattern in the Kazakh national dog breed Tazy from a genome-wide perspective. A total of 1699 homozygous segments were identified in 39 Tazy dogs. The ROH consisted mainly of shorter segments (1-2 Mb), which accounted for approximately 67% of the total ROH. The estimated inbreeding coefficients of the ROH ranged from 0.028 to 0.058 with a mean of 0.057. Five hot genomic regions were identified on chromosomes 18, 22, and 25 that overlapped with regions of hunting traits in other hunting breeds. Among the 12 candidate genes located in these regions, the gene CAB39L may be a candidate that affects running speed and endurance of the Tazy dog. Eight genes could belong to an evolutionarily conserved complex as they were clustered in a large protein network with strong linkages. The results may enable effective interventions when incorporated into conservation planning and selection of the Tazy breed.
Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography
Authors: Hovden Robert , Schwartz Jonathan , Di Zichao , Jiang Yi , Manassa Jason , Pietryga Jacob , Qian Yiwen , Cho Min , Rowell Jonathan , Zheng Huihuo , Robinson Richard , Gu Junsi , Kirilin Alexey , Rozeveld Steve , Ercius Peter , Fessler Jeffrey , Xu Ting , Scott Mary 
Published: April 2023

Abstract

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment completes. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one nanometer resolution in a Au-Fe3O4 metamaterial, Co3O4 - Mn3O4 core-shell nanocrystals, and ZnS-Cu0.64S0.36 nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX / EELS) signals. Now sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials.
Analysis of prognosis in different subtypes of invasive lobular carcinoma using the Japanese National Cancer Database-Breast Cancer Registry
Authors: Adachi Yayoi , Asaga Sota , Kumamaru Hiraku , Kinugawa Naoko , Sagara Yasuaki , Niikura Naoki , Jinno Hiromitsu , Saji Shigehira , Toi Masakazu 
Published: April 2023

Abstract
Purpose Many studies have shown that the prognosis of invasive lobular carcinoma (ILC) is better than that of invasive ductal carcinoma (IDC). However, both disorders exhibit different prognoses according to molecular subtype, and the prognosis of ILC subtypes might depend on their hormone receptor positivity rate. This study clarified the prognosis of ILC and IDC in each subtype and examined the effectiveness of adjuvant chemotherapy (CT) in luminal ILC.Methods We planned the analysis using data from the Breast Cancer Registry in Japan. Because it was presumed that there are differences in characteristics between ILC and IDC, we created matched cohorts using exact matching to compare their prognoses. We compared the prognosis of ILC and IDC for each subtype. We also compared the prognosis of luminal ILC between the CT and non-CT groups.Results For all subtypes, the disease-free survival (DFS) and overall survival (OS) of ILC were poorer than those of IDC. In the analysis by each subtype, no statistically significant difference was found in DFS and OS in luminal human epidermal growth factor 2 (HER2), HER2, and triple-negative cohorts; however, luminal ILC had significantly poorer DFS and OS than luminal IDC. The CT effects on the prognosis of luminal ILC were greater in more advanced cases.Conclusion Luminal ILC had a poorer prognosis than luminal IDC, contributing to the worse prognosis of ILC than that of IDC in the overall cohort. Different therapeutic approaches from luminal IDC are essential for a better prognosis of luminal ILC.
Pediatrician and parental evaluation of child neurodevelopment at 2 years of age
Authors: Segre Giulia , Clavenna Antonio , Roberti Elisa , Scarpellini Francesca , Cartabia Massimo , Pandolfini Chiara , Tessarollo Valeria , Costantino Ilaria , Bonati Maurizio 
Published: April 2023

Abstract
Purpose: To assess the feasibility of a shared approach combining the clinical expertise of family pediatricians and parents' perspectives in identifying potential disorders in children using standard clinical practice tools.
Methods: Within the NASCITA birth cohort, in addition to the family pediatrician’s clinical evaluation, the M-CHAT-R was completed by parents to assess the child’s language, social skills, behavior, and sensory areas. Parents were also asked to complete the PSI-SF to verify the magnitude of stress in the parent-child system. Univariate and multivariate analyses were performed to evaluate the association between child and parental characteristics and the presence of warning signs.
Results: The follow-up assessment was completed for 435 infants: 69 (15.8%) presented warning signs: 43 in the pediatrician’s assessment and 36 in the M-CHAT-R (10 in both). A total of 16 children (14 with warning signs) received a diagnosis after a specialist evaluation.
Being male (OR=2.42, 95%CI: 1.20-4.86) and having sleep disorders (OR=2.48, 95% CI 1.19-5.71) was associated with a greater likelihood of warning signs in the multivariate analysis, while reading aloud was a protective factor (not exposed versus exposed (OR=3.14; 95% CI 1.60-6.17).
For 73 children (18.4%), at least one parent tested positive for PSI-SF. An increased prevalence of parental distress was observed in children with warning signs (OR 2.36, 95% CI 1.27-4.37).
Conclusions: Integrating physician and parental perspectives during well-child visits and in clinical practice appears feasible and can improve the identification of children at risk of developmental disorders.
Deep learning application to automatic classification of recommendations made by hospital pharmacists during drug prescription review
Authors: Alkanj Ahmad , Godet Julien , Johns Erin , Gourieux Bénédicte , Michel Bruno 
Published: April 2023

Abstract
Purpose: Recommendations to improve therapeutics (Recos) are proposals made by pharmacists during the prescription review process to address sub-optimal use of medicines. In hospitals, Recos are generated daily as text documents that are sent to prescribers. If collected Recos data were easier and less time-consuming to summarize, they could be used retrospectively to improve safeguards for better prescribing.
The objective of this work was to train a deep learning algorithm for automatic Recos classification in order to value the large amount of Recos data.
Methods: The study was conducted at the University Hospital of Strasbourg. Recos data were collected throughout 2017. Data from the first six months of 2017 were labeled by two pharmacists who assigned to each of the Recos one of the 29 possible classes of the French Society of Clinical Pharmacy classification. A deep neural network classifier was trained to predict the class of Recos from the raw text data.
Results: 27,699 labeled Recos from the first half of 2017 were used to train and evaluate a classifier. The prediction accuracy calculated on a validation data set was 78.0%. We predicted classes for the unlabeled Recos collected during the second half of 2017. Of the 4,460 predictions reviewed, 67 required corrections. After these additional labeled data were concatenated with the original data set and the neural network re-trained, accuracy reached 81.0 %.
Conclusions: We report an efficient automatic classification of Recos. Making retrospective prescription review data easier to understand should enable better anticipation of prescription-related problems in future prescriptions, thereby improving patient safety.
Bioequivalence study of two lidocaine patches formulation in healthy Chinese subjects: the randomized, single-center, open-label, single-dose, 2-way 2-period crossover study
Authors: Wang Liu , He Xiaoai , Zhu Gangzhi , Han Shengnan , Peng Hui , Tong Mei , Xu Lang , Kang Xiaofei , Wang Hongdan , Yan Zhidong , Wang Junlong , Ni Na 
Published: April 2023

Abstract
Background: (1) To evaluate the bioequivalence between test and reference formulations of lidocaine patches and to assess their pharmacokinetic (PK, Cmax and AUC) in healthy Chinese subjects. (2) To evaluate the noninferiority between test and reference formulations of lidocaine patches and to assess their average adhesion score in healthy Chinese subjects. (3) To evaluate the skin irritation and safety between test and reference formulations of lidocaine patches in healthy Chinese subjects.
Method: A randomized, single-center, open-label, single-dose, 2-way 2-period crossover study was conducted in healthy Chinese subjects. Test lidocaine patches (T, continuous application for 12h with 3 dosage units) or reference lidocaine patches (R) were randomly given to subjects with an administration sequence of T-R, or R-T, while each single administration was followed by a 3-day washout period. The plasma concertation and corresponding PK parameters of lidocaine were calculated using the non-compartment model of Phoenix WinNonlin8.2. Bioequivalence, adhesion score and safety were analyzed by SAS9.4.
Results: A total of 30 subjects were randomized and 29 subjects completed with the samples collected. The 90% CI and the GM ratio for Cmax, AUC0-t and AUC0-∞, respectively, were 108.07% (101.29%, 115.29%), 105.27% (99.85%, 110.98%), and 105.16% (99.77%, 110.83%) within the range of 80-125%. Adhesion scores were 0 under all period evaluated as noninferiority, and skin irritation was showing no difference between T and R. The incidence of AEs and drug-related AEs were similar between T and R (p＞0.05) and no serious AE occurred during the study.
Conclusions: T and R were bioequivalent, well tolerated, and no difference in adhesion and skin irritation.