bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sex-dependent variation in cartilage adaptation: from degeneration to regeneration
Authors: Patel Jhanvee , Chen Song , Katzmeyer Torey , Pei Yixuan Amy , Pei Ming 
Published: April 2023

AbstractDespite acknowledgement in the scientific community of sex-based differences in cartilage biology, the implications for study design remain unclear, with many studies continuing to arbitrarily assign demographics. Clinically, it has been well-established that males and females differ in cartilage degeneration, and accumulating evidence points to the importance of sex differences in the field of cartilage repair. However, a comprehensive review of the mechanisms behind this trend and the influence of sex on cartilage regeneration has not yet been presented. This paper aims to summarize current findings regarding sex-dependent variation in knee anatomy, sex hormones’ effect on cartilage, and cartilaginous degeneration and regeneration, with a focus on stem cell therapies. Findings suggest that the stem cells themselves, as well as their surrounding microenvironment, contribute to sex-based differences. Accordingly, this paper underscores the contribution of both stem cell donor and recipient sex to sex-related differences in treatment efficacy. Cartilage regeneration is a field that needs more research to optimize strategies for better clinical results; taking sex into account could be a big factor in developing more effective and personalized treatments. The compilation of this information emphasizes the importance of investing further research in sex differences in cartilage biology.
Intelligent prediction of sudden cardiac death based on multi-domain feature fusion of heart rate variability signals
Authors: Yang Jianli , Sun Zhiqiang , Zhu Weiwei , Xiong Peng , Du Haiman , Liu Xiuling 
Published: April 2023

Abstract
Background and objective
Sudden cardiac death (SCD) is one of the leading causes of death in cardiovascular diseases. Monitoring the state of the heart in real time and giving early warning of possible dangers by using ambulate electrocardiogram signals are the keys to prevent cardiovascular death. However, due to the diversity inducing factors of SCD and great individual differences, accurate prediction of SCD using electrocardiogram is a hard task, especially applied in portable electrocardiograph.

Methods
This paper proposed a multi-domain features fusion algorithm to predict SCD. Heart rate variability (HRV) signals was used to investigate the characters of SCD. A multiscale variation feature extracted from multiscale poincare plots was proposed to demonstrate the dynamic changes of HRV along different scales. A time-domain feature, Shannon entropy and this multiscale variation feature were combined by using SVM classifier to classify SCD. HRV signals from different time periods prior to SCD onset were used to test the effectiveness of the SCD prediction algorithm. And the dynamic variation characteristics of SCD prediction accuracy for each minute were also studied.

Results
In the prediction of SCD using the 70-min HRV signals before the onset of SCD, the average prediction accuracy only using the multiscale variation feature reached to 85.83%, which verified the effectiveness and high specificity of this multiscale variation feature. By combining time domain, Shannon entropy and the multiscale variation feature, the average prediction accuracy was improved to 91.22%. Through fusing multi-domain feature extracted in this paper, the advance prediction time was increased to 70 min before the onset of SCD.

Conclusions
A feature with high sensitivity and specificity is proposed to predict SCD. By fusing multi-domain features of HRV signals, a high prediction accuracy is achieved and the advance prediction ability is improved. The algorithm is low computational complexity and easy to integrate into cardiovascular intelligent monitoring equipment, making the intelligent monitoring and real-time early warning of SCD becomes possible.
Some power allocation algorithms for cognitive uplink satellite systems
Authors: Louchart Arthur , Tohidi Ehsan , Ciblat Philippe , Gesbert David , Lagunas Eva , Poulliat Charly 
Published: April 2023

AbstractCognitive satellite communication (SatCom) is rapidly emerging as a promising technology to overcome the scarcity of the exclusive licensed band model in order to fulfill the increasing demand for high data rate services. The paper addresses power allocation methods for multi-operator multi-beam uplink satellite communication systems co-existing with a Ka-band terrestrial network, using cognitive radio paradigm. Such a scenario is especially challenging because of (i) the coexisting multiple SatCom operators over the cognitive band need to coordinate the use of their resources under limited inter-operator information exchange, and (ii) nonlinear onboard high power amplifier (HPA) which leads to nonlinear interference between users and beams. In order to tackle the first challenge, we propose distributed power allocation algorithms including the standard Alternate Direction Multiplier Method (ADMM); Regarding the HPA nonlinear impairment, we propose nonlinear-aware power allocation based on Signomial Programming. The proposed solutions outperform state-of-the-art in both cases.
Does contract farming affect technical efficiency? Evidence from soybean farmers in Northern Ghana
Authors: Selorm Ayeduvor , Sarpong D. B. S. , Egyir Irene S. , Mensah Bonsu Akwasi , An Henry 
Published: April 2023

AbstractUnderstanding how and the extent to which contract farming arrangements impact agricultural productivity is important to ensuring that policies are designed to maximize the likelihood of success. Using cross-sectional data from 516 soybean farmers in Northern Ghana, we provide empirical evidence that contract farming increases soybean productivity and technical efficiency in Northern Ghana. We use propensity score matching to reduce bias from observables, and then estimate a stochastic production frontier model that addresses selection bias arising from unobservable variables. We find that the technical efficiency levels of contract farmers are 77 percent compared with 69 percent for non-contract farmers. We also find that access to credit, extension contact, and farmer group membership are key determinants of participating in contract farming.
Pectin modulates intestinal immunity in a pig model via regulating the gut microbiota-derived tryptophan metabolite-AhR-IL22 pathway
Authors: Dang Guoqi , Wen Xiaobin , Zhong Ruqing , Wu Weida , Tang Shanlong , Li Chong , Yi Bao , Chen Liang , Zhang Hongfu , Schroyen Martine 
Published: April 2023

Abstract
Background
Pectin is a heteropolysaccharide that acts as an intestinal immunomodulator, promoting intestinal development and regulating intestinal flora in the gut. However, the relevant mechanisms remain obscure. In this study, pigs were fed a corn-soybean meal-based diet supplemented with either 5% microcrystalline cellulose (MCC) or 5% pectin for 3 weeks, to investigate the metabolites and anti-inflammatory properties of the jejunum.

Result
The results showed that dietary pectin supplementation improved intestinal integrity (Claudin-1, Occludin) and inflammatory response [interleukin (IL)-10], and the expression of proinflammatory cytokines (IL-1β, IL-6, IL-8, TNF-α) was down-regulated in the jejunum. Moreover, pectin supplementation altered the jejunal microbiome and tryptophan-related metabolites in piglets. Pectin specifically increased the abundance of Lactococcus, Enterococcus, and the microbiota-derived metabolites (skatole (ST), 3-indoleacetic acid (IAA), 3-indolepropionic acid (IPA), 5-hydroxyindole-3-acetic acid (HIAA), and tryptamine (Tpm)), which activated the aryl hydrocarbon receptor (AhR) pathway. AhR activation modulates IL-22 and its downstream pathways. Correlation analysis revealed the potential relationship between metabolites and intestinal morphology, intestinal gene expression, and cytokine levels.

Conclusion
In conclusion, these results indicated that pectin inhibits the inflammatory response by enhancing the AhR-IL22-signal transducer and activator of transcription 3 signaling pathway, which is activated through tryptophan metabolites.
Progress towards dog-mediated rabies elimination in PR China: a scoping review
Authors: Shen Tianren , Welburn Susan Christina , Sun Long , Yang Guo-Jing 
Published: April 2023

Abstract
Background
Rabies continues to be a serious threat to global public health endangering people’s health and public health safety. In the People’s Republic of China, multi-sectoral and comprehensive prevention and control strategies have aimed to extensively curb human rabies transmission. Here, we examine the current state of rabies infection in China, explore strategic interventions put in place in response to WHO’s ambition of “Zero rabies deaths by 2030” and critically assess the constraints and feasibility of dog-mediated rabies elimination in China.

Methods
This study analyzed and evaluated the process towards dog-mediated rabies elimination in China from five perspectives: namely, human, dog, policy, challenge, and prospects. Evidence-based data on progress of dog-mediated rabies elimination in China was derived from a number of sources; a literature search was undertaken using PubMed, Web of Science and CNKI databases, distribution data for human rabies cases as derived from the Data-center of the China Public Health Science and policy and document data were obtained from official websites of the relevant China ministries and commissions.

Results
The incidence of human rabies cases in China have shown a downward trend year-on-year since 2007. Implementation of a government-led, multi-sectoral “One Health” approach to combating rabies has driven down the total number of rabies deaths nationwide to around 200 in 2020. The number of provincial-level administrative divisions (PLADs) reporting human cases of rabies has also decreased to 21 in 2020, 13 of which reported less than 10 cases. Furthermore, the number of outpatient visits seeking rabies post-exposure prophylaxis has risen dramatically over the past two decades, with demand being 15 times higher than it was initially. There remain however, significant gaps in rabies elimination outcomes across the different regions of China. To date the target of achieving a canine rabies vaccination rate of > 75% has not been met. The challenges of rabies immunization of dogs and dog management in underdeveloped cities and rural areas need to be addressed together with more effective animal surveillance and rabies risk from and too wildlife and livestock.

Conclusions
The Chinese government-led, multi-sectoral “One Health” approach to combating rabies and has made significant progress over the past decade. Development and adoption of more cost-effective One Health strategies can achieve more nationally beneficial rabies elimination outcomes. The ambitious target of “Zero rabies deaths by 2030” can be met through establishment of long-lasting herd immunity in dogs by means of dog mass vaccination campaigns, dog population management, epidemiological surveillance and the application of large-scale oral rabies vaccine to eliminate rabies in wild animals coupled with deployment of cost-effective human post-exposure prophylaxis, and community education.

Graphical Abstract
Collaborative care in eating disorders treatment: exploring the role of clinician distress, self-compassion, and compassion for others
Authors: Geller Josie , Fernandes Avarna , Kelly Allison C. , Samson Lindsay , Srikameswaran Suja 
Published: April 2023

Abstract
Background
Collaborative care is described as showing curiosity and concern for patient experiences, providing choices, and supporting patient autonomy. In contrast, in directive care, the clinician has authority and the patient is expected to adhere to a treatment plan over which they have limited influence. In the treatment of eating disorders, collaborative care has been shown to be more acceptable and produce better outcomes than directive care. Despite widespread patient and clinician preference for collaborative care, it is common for clinicians to be directive in practice, resulting in negative patient attitudes toward treatment and poor adherence. There is a need to understand factors which contribute to its use.

Purpose
This study examined the contribution of clinicians' experience of distress and how they relate to themselves and others in times of difficulty (self-compassion and compassion for others), to their use of collaborative support.

Method
Clinicians working with individuals with eating disorders from diverse professional backgrounds (N = 123) completed an online survey.

Results
Whereas clinician distress was not associated with use of collaborative or directive support behaviours, self-compassion and compassion for others were. Regression analyses indicated that compassion for others was the most important determinant of collaborative care.

Discussion
Relating to their own and others’ distress with compassion was most important in determining clinicians’ use of collaborative support. Understanding how to cultivate conditions that foster compassion in clinical environments could promote the delivery of collaborative care.
Medical instability in typical and atypical adolescent anorexia nervosa: a systematic review and meta-analysis
Authors: Brennan Cliona , Illingworth Sarah , Cini Erica , Bhakta Dee 
Published: April 2023

AbstractThis review investigates the relationship between weight and risk of medical instability (specifically bradycardia, hypotension, hypothermia, and hypophosphatemia) in adolescents with typical and atypical anorexia nervosa. Atypical anorexia nervosa, listed as an example under the DSM-5 category of Other Specified Feeding and Eating Disorders (OSFED), describes patients who are not clinically underweight but otherwise meet criteria for anorexia nervosa. There is a lack of empirical evidence exploring medical complications in adolescents presenting with atypical anorexia nervosa. The small number of studies that do exist in this area indicate that medical instability exists across a range of weights, with weight loss being associated with increased medical risk, independent of underweight. The aim of this review was to collate and analyse results from available studies and identify indicators of medical risk in these two groups of adolescents with restrictive eating disorders. Studies were identified by systematic electronic search of medical databases, including PubMed and EMBASE. All studies investigated the relationship between weight and medical instability and included adolescents diagnosed with anorexia nervosa or atypical anorexia nervosa. One randomised controlled trial, five cohort studies and three chart reviews were included, with a total sample size of 2331 participants. Between 29 and 42% of participants presented with medical instability requiring hospitalisation, in the absence of underweight. Underweight adolescents were significantly more likely to have lower blood pressures (p < 0.0001) and bradycardia was significantly associated with greater weight loss (p < 0.05). There were no statistically significant associations found between degree of underweight and heart rate, temperature, or rate of weight loss (p = 0.31, p = 0.46 and p = 0.16, respectively). Adolescents that were less than 70% median body mass index were significantly more likely to have hypophosphatemia (p < 0.05). The findings of this review support the hypothesis that medical instability can occur across a range of weights in adolescent eating disorders, with rapid weight loss being an important indicator of increasing medical risk. Results were limited by the small number of existing studies that contained data for statistical analysis. Rapid weight loss should be considered as an important indicator of medical instability in adolescents presenting with both typical and atypical anorexia nervosa.
Racial disparities in youth pretrial detention: a retrospective cohort study grounded in critical race theory
Authors: Wen Andy , Gubner Noah R. , Garrison Michelle M. , Walker Sarah Cusworth 
Published: April 2023

Abstract
Background and method
Pretrial detention makes up 75% of juvenile detention admissions and contributes to the disproportionate contact of minoritized youth in the juvenile carceral system. Given that prior evidence largely examines differences between Black and white youth, this study expands research on disproportionate contact in the pretrial detention setting to Hispanic/Latinx, Indigenous, and Asian youth. With a sample of over 44,000 juvenile cases in a northwest state, we used a generalized linear mixed model to estimate the effect of individual level characteristics while accounting for the random effect of differences at the county level. Additionally, we utilized Critical Race Theory (CRT) in formulating our theoretical model and predictions and apply CRT in our analysis and discussion of our results. In doing so we hope to build upon its application in public health discourse for naming and deconstructing processes that lead to unjust social and health stratification.

Results
After factoring in gender, age, crime severity, previous offenses, and variation between counties, our analyses show that Black, Hispanic/Latinx, and American Indian/Alaskan Native youth are more likely to experience pretrial detention than white youth. The likelihood of pretrial detention for Asian youth and for youth identified as “Other” or “Unknown” was not significantly different from white youth.

Conclusions
As the iatrogenic effects of detention are disproportionately imposed upon youth of color—particularly Black, Indigenous, and Hispanic/Latinx youth—the disparities present in our study reveal further evidence of institutional racism. In this way, we can see how this carceral process operates as a mechanism of racialized social stratification as put forth by CRT. Considering implications for policy or further research, persistent disparity highlights an enduring need for building or strengthening diversion programs and alternatives to the carceral system, with emphasis on those that are culturally responsive.
The association between probationers’ addiction levels and socioeconomic-psychological characteristics
Authors: Yucel Inci Derya , Yararbas Gorkem 
Published: April 2023

Abstract
Objective
The aim of this study is to evaluate probationers’ addiction levels and associated socioeconomic and psychological features in Izmir Probation Directorate.

Methods
This cross-sectional study was conducted in Izmir Probation Directorate between August 27, 2018 and November 27, 2018. The study’s dependent variable was adult probationers’ addiction level which was evaluated by the Addiction Profile Index-Clinical Version (API-C). The independent variables were individual factors, social environmental factors, API-C scale subdimensions and perceived social support. For paired comparisons, Student’s t test and ANOVA were used. Linear regression analysis was used for multiple comparisons. p < 0.05 was accepted as the limit of statistical significance.

Results
A total of 200 male probationers participated in the study (82.3%, n = 243). The participants’ average age was 29.9 ± 7.7. The participants’ average addiction score was 5.65 ± 2.33. According to the results of the regression analysis; education level (B = 1.438, 95% CI 0.936, 1.941, p < 0.001) working status at a job (B = 2.687, 95% CI 1.428, 3.945, p < 0.001) father’s education level (B=-1.117, 95% CI -1.473, -0.762, p < 0.001) and anger management problems (B = 0.750, 95%CI 0.517, 0.982, p < 0.001) were explanatory for addiction level. The model was 50.8% explanatory of addiction level (p < 0.05).

Conclusion
Probationers who grew up with only their mother, whose father had a low education level, who had higher levels of anger management problems and who were unemployed had higher levels of addiction. These results emphasize the need for social work in the rehabilitation processes of individuals. Treating the risk factors indicated by the study results as screening and follow-up parameters in the probation population can be useful in improving the success of the probation program.
New GEONET analysis strategy at GSI: daily coordinates of over 1300 GNSS CORS in Japan throughout the last quarter century
Authors: Takamatsu Naofumi , Muramatsu Hiroki , Abe Satoshi , Hatanaka Yuki , Furuya Tomoaki , Kakiage Yasuaki , Ohashi Kazuyuki , Kato Chiaki , Ohno Keitaro , Kawamoto Satoshi 
Published: April 2023

AbstractThe station coordinates derived from GNSS (Global Navigation Satellite System) with a conventional static method underpin the study of Earth and planetary science and surveying and mapping. For the continuous provision of high-quality coordinates, it is mandatory to cope with the increasing deviation from the global standard reference frame and the launch of modern GPS (Global Positioning System) satellites. To provide coordinates agreed with ITRF2014 (International Terrestrial Reference Frame 2014) at several millimeters for GEONET (GNSS Earth Observation Network System) in Japan, we developed a new analysis strategy named F5 and assessed the reprocessed station coordinates from 1996. The major updates in F5 can be summarized as incorporating global network processing and enhancements in troposphere modeling. As for the troposphere enhancements, a modern mapping function VMF1 (Vienna Mapping Functions 1) was employed and time intervals for troposphere estimates were shortened. Station coordinates in the global network showed a great agreement with ITRF2014 at several millimeters in the recent 20 years and comparable or slightly better performance with IGS (International GNSS Services) Analysis Centers. The RMS (root mean square) averaged over all GEONET stations indicated very high accuracy of 3.2 mm (horizontal) and 7.3 mm (vertical); the latter accounts for an improvement of roughly 10% from the previous strategy. Sensitivity tests about troposphere estimates revealed that the reduced RMS was completely due to the short time intervals, not the use of VMF1, which contributed to partly suppressing the spurious vertical annual deformation. These results confirm that F5 is sufficiently accurate for the requirements of individual applications and infer the capability of detecting smaller signals the previous strategy could not resolve.Graphical Abstract
Functional tailoring of a PET hydrolytic enzyme expressed in Pichia pastoris
Authors: Li Xian , Shi Beilei , Huang Jian-Wen , Zeng Ziyin , Yang Yu , Zhang Lilan , Min Jian , Chen Chun-Chi , Guo Rey-Ting 
Published: April 2023

AbstractUsing enzymes to hydrolyze and recycle poly(ethylene terephthalate) (PET) is an attractive eco-friendly approach to manage the ever-increasing PET wastes, while one major challenge to realize the commercial application of enzyme-based PET degradation is to establish large-scale production methods to produce PET hydrolytic enzyme. To achieve this goal, we exploited the industrial strain Pichia pastoris to express a PET hydrolytic enzyme from Caldimonas taiwanensis termed CtPL-DM. In contrast to the protein expressed in Escherichia coli, CtPL-DM expressed in P. pastoris is inactive in PET degradation. Structural analysis indicates that a putative N-glycosylation site N181 could restrain the conformational change of a substrate-binding Trp and hamper the enzyme action. We thus constructed N181A to remove the N-glycosylation and found that the PET hydrolytic activity of this variant was restored. The performance of N181A was further enhanced via molecular engineering. These results are of valuable in terms of PET hydrolytic enzyme production in industrial strains in the future.
Graphical Abstract