bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing calibration of modern skeletal maturity systems
Authors: Furdock Ryan J , Moyal Andrew J , Benedick Alexander , Lin Feng-Chang , Hao Yajing , Cooperman Daniel R , Sanders James O , Liu Raymond W 
Published: February 2024

Purpose: Greulich and Pyle is the most used system to estimate skeletal maturity but has significant drawbacks, prompting the development of newer skeletal maturity systems, such as the modified Fels skeletal maturity systems based on knee radiographs. To create a new skeletal maturity system, an outcome variable, termed a “skeletal maturity standard,” must be selected for calibration of the system. Peak height velocity and 90% of final height are both considered reasonable skeletal maturity standards for skeletal maturity system development. We sought to answer two questions: (1) Does a skeletal maturity system developed using 90% of final height estimate skeletal age as well as it would if it was instead developed using peak height velocity? (2) Does a skeletal maturity system developed using 90% of final height perform as well in lower extremity length prediction as it would if it was instead developed using peak height velocity? Methods: The modified Fels knee skeletal maturity system was recalibrated based on 90% of final height and peak height velocity skeletal maturity standards. These models were applied to 133 serially obtained, peripubertal antero-posterior knee radiographs collected from 38 subjects. Each model was used to estimate the skeletal age of each radiograph. Skeletal age estimates were also used to predict each patient’s ultimate femoral and tibial length using the White–Menelaus method. Results: The skeletal maturity system calibrated with 90% of final height produced more accurate skeletal age estimates than the same skeletal maturity system calibrated with peak height velocity (p < 0.05). The 90% of final height and peak height velocity models made similar femoral and tibial length predictions (p > 0.05). Conclusion: Using the 90% of final height skeletal maturity standard allows for simpler skeletal maturity system development than peak height velocity with potentially more accuracy.
Sociodemographic and health systems determinants of antiretroviral therapy adherence among human immunodeficiency virus-positive patients in the Volta Region of Ghana: A multi-centre study
Authors: Tarkang Elvis Enowbeyang , Manu Emmanuel , Aku Fortress Yayra , Anaman-Torgbor Judith , Khuzwayo Nelisiwe 
Published: February 2024

Objectives: Optimal adherence to antiretroviral therapy is required for viral load suppression. This study investigated the sociodemographic (age, sex, marital status, level of education, monthly income, settlement type, distance to the antiretroviral therapy-providing site, ethnicity) and health system (antiretroviral therapy-providing site) determinants of antiretroviral therapy adherence among human immunodeficiency virus-positive patients in the Volta Region, Ghana. Methods: A cross-section design was adopted, collecting data from 1729 human immunodeficiency virus patients and analysing them using STATA version 17 at level 0.05. Results: Antiretroviral therapy adherence was poor (51.2%). Being divorced (Adjusted odds ratio (AOR) = 0.65), widow (AOR = 0.58), cohabiting (AOR = 0.22), Ewe (AOR = 3.7), Ga/Dangbe (AOR = 2.27), living in a rural area (AOR = 1.54) and an urban area (AOR = 0.64), having a monthly income of GH₵1000 or less (AOR = 3.21), covering a distance of 51 km and above to the antiretroviral therapy centre (AOR = 1.79), receiving antiretroviral therapy from Ketu South Municipal Hospital (AOR = 0.09), Hohoe Municipal Hospital (AOR = 0.03), Ho Municipal Hospital (AOR = 0.02) and Ho Teaching Hospital (AOR = 0.09) were the determinants of antiretroviral therapy adherence. Conclusion: Antiretroviral therapy adherence was low. Interventions to improve antiretroviral therapy adherence should target these significant determinants.
Positioning head tilt observed in two cats with myasthenia gravis
Authors: Tamura Shinji , Nakamoto Yuya , Sozu Yasuhiro , Tamura Yumiko 
Published: February 2024

Case series summary A 1-year-old castrated male domestic shorthair cat was suspected with myasthenia gravis (MG) based on neurological examination, complete blood count (CBC), serum biochemistry, radiography and electrophysiological examination. In addition, a 9-year-old spayed female domestic shorthair cat was diagnosed with MG based on neurological examination, CBC, serum biochemistry, radiography, ultrasonography and increased acetylcholine receptor antibody titre. Positioning head tilt (PHT) was observed at the time of diagnosis in both cats. Relevance and novel information Although the pathophysiology of PHT in cats is not fully understood, the mechanism for PHT in cats with MG may be similar to that of cats with hypokalaemic myopathy, supporting our hypothesis that muscle spindle dysfunction causes PHT.
Sequencing conversational turns in peer interactions: An integrated approach for evidence-based conversational agent for just-in-time nicotine cravings intervention
Authors: Singh Tavleen , Truong Michael , Roberts Kirk , Myneni Sahiti 
Published: February 2024

Background Risky health behaviors place an enormous toll on public health systems. While relapse prevention support is integrated with most behavior modification programs, the results are suboptimal. Recent advances in artificial intelligence (AI) applications provide us with unique opportunities to develop just-in-time adaptive behavior change solutions. Methods In this study, we present an innovative framework, grounded in behavioral theory, and enhanced with social media sequencing and communications scenario builder to architect a conversational agent (CA) specialized in the prevention of relapses in the context of tobacco cessation. We modeled peer interaction data (n = 1000) using the taxonomy of behavior change techniques (BCTs) and speech act (SA) theory to uncover the socio-behavioral and linguistic context embedded within the online social discourse. Further, we uncovered the sequential patterns of BCTs and SAs from social conversations (n = 339,067). We utilized grounded theory-based techniques for extracting the scenarios that best describe individuals’ needs and mapped them into the architecture of the virtual CA. Results The frequently occurring sequential patterns for BCTs were comparison of behavior and feedback and monitoring; for SAs were directive and assertion. Five cravings-related scenarios describing users’ needs as they deal with nicotine cravings were identified along with the kinds of behavior change constructs that are being elicited within those scenarios. Conclusions AI-led virtual CAs focusing on behavior change need to employ data-driven and theory-linked approaches to address issues related to engagement, sustainability, and acceptance. The sequential patterns of theory and intent manifestations need to be considered when developing effective behavior change CAs.
Interpretable deep learning methods for multiview learning
Authors: Wang Hengkang , Lu Han , Sun Ju , Safo Sandra E. 
Published: February 2024

Abstract
Background
Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to new biomedical discoveries.

Results
We propose iDeepViewLearn (Interpretable Deep Learning Method for Multiview Learning) to learn nonlinear relationships in data from multiple views while achieving feature selection. iDeepViewLearn combines deep learning flexibility with the statistical benefits of data and knowledge-driven feature selection, giving interpretable results. Deep neural networks are used to learn view-independent low-dimensional embedding through an optimization problem that minimizes the difference between observed and reconstructed data, while imposing a regularization penalty on the reconstructed data. The normalized Laplacian of a graph is used to model bilateral relationships between variables in each view, therefore, encouraging selection of related variables. iDeepViewLearn is tested on simulated and three real-world data for classification, clustering, and reconstruction tasks. For the classification tasks, iDeepViewLearn had competitive classification results with state-of-the-art methods in various settings. For the clustering task, we detected molecular clusters that differed in their 10-year survival rates for breast cancer. For the reconstruction task, we were able to reconstruct handwritten images using a few pixels while achieving competitive classification accuracy. The results of our real data application and simulations with small to moderate sample sizes suggest that iDeepViewLearn may be a useful method for small-sample-size problems compared to other deep learning methods for multiview learning.

Conclusion
iDeepViewLearn is an innovative deep learning model capable of capturing nonlinear relationships between data from multiple views while achieving feature selection. It is fully open source and is freely available at https://github.com/lasandrall/iDeepViewLearn.
Single nucleotide polymorphisms (SNPs) in the open reading frame (ORF) of prion protein gene (PRNP) in Nigerian livestock species
Authors: Adeola Adeniyi C. , Bello Semiu F. , Abdussamad Abdussamad M. , Adedokun Rahamon A. M. , Olaogun Sunday C. , Abdullahi Nasiru , Mark Akanbi I. , Onoja Anyebe B. , Sanke Oscar J. , Mangbon Godwin F. , Ibrahim Jebi , Dawuda Philip M. , Salako Adebowale E. , Kdidi Samia , Yahyaoui Mohamed Habib 
Published: February 2024

Abstract
Background
Prion diseases, also known as transmissible spongiform encephalopathies (TSEs) remain one of the deleterious disorders, which have affected several animal species. Polymorphism of the prion protein (PRNP) gene majorly determines the susceptibility of animals to TSEs. However, only limited studies have examined the variation in PRNP gene in different Nigerian livestock species. Thus, this study aimed to identify the polymorphism of PRNP gene in Nigerian livestock species (including camel, dog, horse, goat, and sheep). We sequenced the open reading frame (ORF) of 65 camels, 31 village dogs and 12 horses from Nigeria and compared with PRNP sequences of 886 individuals retrieved from public databases.

Results
All the 994 individuals were assigned into 162 haplotypes. The sheep had the highest number of haplotypes (n = 54), and the camel had the lowest (n = 7). Phylogenetic tree further confirmed clustering of Nigerian individuals into their various species. We detected five non-synonymous SNPs of PRNP comprising of G9A, G10A, C11G, G12C, and T669C shared by all Nigerian livestock species and were in Hardy-Weinberg Equilibrium (HWE). The amino acid changes in these five non-synonymous SNP were all “benign” via Polyphen-2 program. Three SNPs G34C, T699C, and C738G occurred only in Nigerian dogs while C16G, G502A, G503A, and C681A in Nigerian horse. In addition, C50T was detected only in goats and sheep.

Conclusion
Our study serves as the first to simultaneously investigate the polymorphism of PRNP gene in Nigerian livestock species and provides relevant information that could be adopted in programs targeted at breeding for prion diseases resistance.
An insight into the gene expression evolution in Gossypium species based on the leaf transcriptomes
Authors: Wu Yuqing , Sun Rongnan , Huan Tong , Zhao Yanyan , Yu Dongliang , Sun Yuqiang 
Published: February 2024

Abstract
Background
Gene expression pattern is associated with biological phenotype and is widely used in exploring gene functions. Its evolution is also crucial in understanding species speciation and divergence. The genus Gossypium is a bona fide model for studying plant evolution and polyploidization. However, the evolution of gene expression during cotton species divergence has yet to be extensively discussed.

Results
Based on the seedling leaf transcriptomes, this work analyzed the transcriptomic content and expression patterns across eight cotton species, including six diploids and two natural tetraploids. Our findings indicate that, while the biological function of these cotton transcriptomes remains largely conserved, there has been significant variation in transcriptomic content during species divergence. Furthermore, we conducted a comprehensive analysis of expression distances across cotton species. This analysis lends further support to the use of G. arboreum as a substitute for the A-genome donor of natural cotton polyploids. Moreover, our research highlights the evolution of stress-responsive pathways, including hormone signaling, fatty acid degradation, and flavonoid biosynthesis. These processes appear to have evolved under lower selection pressures, presumably reflecting their critical role in the adaptations of the studied cotton species to diverse environments.

Conclusions
In summary, this study provided insights into the gene expression variation within the genus Gossypium and identified essential genes/pathways whose expression evolution was closely associated with the evolution of cotton species. Furthermore, the method of characterizing genes and pathways under unexpected high or slow selection pressure can also serve as a new strategy for gene function exploration.
Annual evolution of the prescription of drugs with prognostic implications in acute decompensated heart failure with reduced ejection fraction
Authors: López-Vilella Raquel , DonosoTrenado Víctor , Guerrero Cervera Borja , Sánchez-Lázaro Ignacio , Martínez Dolz Luis , Almenar Bonet Luis 
Published: February 2024

Abstract
Background
Quadruple therapy (renin angiotensin system inhibitors, beta-blockers, mineralocorticoid receptor antagonists and sodium/glucose cotransporter type 2 inhibitors [SGLT2i]) has become the current prognostic modifying treatment for heart failure (HF) with reduced ejection fraction (HFrEF). This study aimed to analyse the prescription´s evolution of this combination therapy, the analysis of each pharmacological group and the differences according to HF subgroups.

Methods
Retrospective analysis of consecutive patients admitted for cardiac decompensation. Inclusion period: from 1-1-2020 to 12-31-2022. Patients with left ventricular ejection fraction > 40% and deceased during admission were excluded. Finally, 602 patients were included. These were divided into: (a) de novo HF without previous heart disease (n:108), (b) de novo with previous heart disease (n:107), and (c) non-de novo (n:387).

Results
Over the study time, all pharmacological groups experienced an increase in drugs prescription (p < 0.001). The group with the largest prescription rate increase was SGLT2i (2020:20%, 2021:42.9%, 2022:70.4%; mean increase 47.2%). The discharge rate prescription of quadruple therapy increased progressively (2020:7.4%, 2021:21.1%, 2022:32.5%; mean increase 21.9%). The subgroup with the highest combined prescription in 2022 was de novo with previous heart disease (43.9%).

Conclusion
The pharmacological group with the largest prescription´s rate increase was SGLT2i. The percentage of patients discharged on quadruple therapy has progressed significantly in recent years, although it remains low. The most optimised subgroup at discharge was that of de novo HF with previous heart disease.
Effect of mindfulness-based interventions on people with prehypertension or hypertension: a systematic review and meta-analysis of randomized controlled trials
Authors: Chen Qiongshan , Liu Hui , Du Shizheng 
Published: February 2024

Abstract
Background
Hypertension and prehypertension have been widely recognized as the main contributors of global mortality. Evidence shows mindfulness-based interventions may reduce blood pressure and improve mental health. However, the effect of mindfulness-based interventions on blood pressure and mental health has not been fully understood.

Methods
Potential studies published before May 24th 2023 were identified by searching Embase, Ovid Emcare, PsycINFO, CINAHL, Web of Science, Cochrane, PubMed, China National Knowledge Infrastructure, Wanfang database, and VIP China Science. Additionally, two grey databases were searched: Mednar, WorldWideScience.org. The risk of bias in the included studies was assessed using the Cochrane Risk of Bias Assessment tool. The random-effects meta-analyses were conducted using Review Man 5.4 software and the key outcomes are presented as mean difference or standard mean difference and the 95% confidential interval.

Results
Searches returned 802 studies in total, of which 12 were included (N = 715). The duration of interventions was 8 weeks in 10 trials and 6 weeks in one trial. Pooled effect sizes indicated reductions in systolic blood pressure (MD = − 9.12, 95% CI [− 12.18, − 6.05], p < 0.001), diastolic blood pressure (MD = − 5.66, 95% CI [− 8.88, − 2.43], p < 0.001), anxiety (SMD = − 4.10; 95% CI [− 6.49, − 1.71], p < 0.001), depression (SMD = − 1.70, 95%CI [− 2.95, − 0.44], p < 0.001) and perceived stress (SMD = − 5.91, 95%CI [− 8.74, − 3.09], p < 0.001) at post-intervention. The findings from subgroup analyses are favorable for mindfulness-based interventions regardless of gender and baseline blood pressure with regard to BP reduction, with a more profound effect observed in participants with higher pre-intervention blood pressure.

Conclusions
The results provide evidence for the positive role of mindfulness-based interventions in hypertension management. More large randomized control trials with sufficient statistical power and long-term follow-up are needed.

Trial registration
The protocol had been registered with Prospero on October 2nd 2021 (registration NO. CRD42021282504).
Sacubitril/valsartan inhibits the proliferation of vascular smooth muscle cells through notch signaling and ERK1/2 pathway
Authors: Xu Congfeng , Zhang Ning , Yuan Hong , Wang Liren , Li Yonghong 
Published: February 2024

Abstract
Aims
To explore the role and mechanism of Notch signaling and ERK1/2 pathway in the inhibitory effect of sacubitril/valsartan on the proliferation of vascular smooth muscle cells (VSMCs).

Main methods
Human aortic vascular smooth muscle cells (HA-VSMCs) were cultured in vitro. The proliferating VSMCs were divided into three groups as control group, Ang II group and Ang II + sacubitril/valsartan group. Cell proliferation and migration were detected by CCK8 and scratch test respectively. The mRNA and protein expression of PCNA, MMP-9, Notch1 and Jagged-1 were detected by qRT-PCR and Western blot respectively. The p-ERK1/2 expression was detected by Western blot.

Key findings
Compared with the control group, proliferation and migration of VSMCs and the expression of PCNA, MMP-9, Notch1, Jagged-1 and p-ERK1/2 was increased in Ang II group. Sacubitril/valsartan significantly reduced the proliferation and migration. Additionally, pretreatment with sacubitril/valsartan reduced the PCNA, MMP-9, Notch1, Jagged-1 and p-ERK1/2 expression.
Reverse shock index multiplied by simplified motor score as a predictor of clinical outcomes for patients with COVID-19
Authors: Wu Meng-Yu , Hou Yueh-Tseng , Chung Jui-Yuan , Yiang Giou-Teng 
Published: February 2024

Abstract
Background
The reverse shock index (rSI) combined with the Simplified Motor Score (sMS), that is, the rSI-sMS, is a novel and efficient prehospital triage scoring system for patients with COVID-19. In this study, we evaluated the predictive accuracy of the rSI-sMS for general ward and intensive care unit (ICU) admission among patients with COVID-19 and compared it with that of other measures, including the shock index (SI), modified SI (mSI), rSI combined with the Glasgow Coma Scale (rSI-GCS), and rSI combined with the GCS motor subscale (rSI-GCSM).

Methods
All patients who visited the emergency department of Taipei Tzu Chi Hospital between January 2021 and June 2022 were included in this retrospective cohort. A diagnosis of COVID-19 was confirmed through a SARS-CoV-2 reverse-transcription polymerase chain reaction test or SARS-CoV-2 rapid test with oropharyngeal or nasopharyngeal swabs and was double confirmed by checking International Classification of Diseases, Tenth Revision, Clinical Modification codes in electronic medical records. In-hospital mortality was regarded as the primary outcome, and sepsis, general ward or ICU admission, endotracheal intubation, and total hospital length of stay (LOS) were regarded as secondary outcomes. Multivariate logistic regression was used to determine the relationship between the scoring systems and the three major outcomes of patients with COVID-19, including. The discriminant ability of the predictive scoring systems was investigated using the area under the receiver operating characteristic curve, and the most favorable cutoff value of the rSI-sMS for each major outcome was determined using Youden’s index.

Results
After 74,183 patients younger than 20 years (n = 11,572) and without COVID-19 (n = 62,611) were excluded, 9,282 patients with COVID-19 (median age: 45 years, interquartile range: 33–60 years, 46.1% men) were identified as eligible for inclusion in the study. The rate of in-hospital mortality was determined to be 0.75%. The rSI-sMS scores were significantly lower in the patient groups with sepsis, hyperlactatemia, admission to a general ward, admission to the ICU, total length of stay ≥ 14 days, and mortality. Compared with the SI, mSI, and rSI-GCSM, the rSI-sMS exhibited a significantly higher accuracy for predicting general ward admission, ICU admission, and mortality but a similar accuracy to that of the rSI-GCS. The optimal cutoff values of the rSI-sMS for predicting general ward admission, ICU admission, and mortality were calculated to be 3.17, 3.45, and 3.15, respectively, with a predictive accuracy of 86.83%, 81.94%%, and 90.96%, respectively.

Conclusions
Compared with the SI, mSI, and rSI-GCSM, the rSI-sMS has a higher predictive accuracy for general ward admission, ICU admission, and mortality among patients with COVID-19.