bluuebunny/crossref_metadata_2025_split huggingface dataset:
Installation of click-type functional groups enable the creation of an additive manufactured construct for the osteochondral interface
Authors: Beeren Ivo A O , Dijkstra Pieter J , Lourenço Ana Filipa H , Sinha Ravi , Gomes David B , Liu Hong , Bouvy Nicole , Baker Matthew B , Camarero-Espinosa Sandra , Moroni Lorenzo 
Published: November 2022

Abstract
Melt extrusion-based additive manufacturing (AM) is often used to fabricate scaffolds for osteochondral (OC) regeneration. However, there are two shortcomings associated with this scaffold manufacturing technique for engineering of tissue interfaces: (a) most polymers used in the processing are bioinert, and (b) AM scaffolds often contain discrete (material) gradients accompanied with mechanically weak interfaces. The inability to mimic the gradual transition from cartilage to bone in OC tissue leads to poor scaffold performance and even failure. We hypothesized that introducing peptide gradients on the surface could gradually guide human mesenchymal stromal cell (hMSC) differentiation, from a chondrogenic towards on osteogenic phenotype. To work towards this goal, we initially manufactured poly(ϵ-caprolactone)-azide (PCLA) and PCL-maleimide (PCLM) scaffolds. The surface exposed click-type functional groups, with a surface concentration in the 102pmol cm−2 regime, were used to introduce bone morphogenic protein-2 or transforming growth factor-beta binding peptide sequences to drive hMSC differentiation towards osteogenic or chondrogenic phenotypes, respectively. After 3 weeks of culture in chondrogenic medium, we observed differentiation towards hypertrophic chondrogenic phenotypes with expression of characteristic markers such as collagen X. In osteogenic medium, we observed the upregulation of mineralization markers. In basic media, the chondro-peptide displayed a minor effect on chondrogenesis, whereas the osteo-peptide did not affect osteogenesis. In a subcutaneous rat model, we observed a minimal foreign body response to the constructs, indicating biocompatibility. As proof-of-concept, we finally used a novel AM technology to showcase its potential to create continuous polymer gradients (PCLA and PCLM) across scaffolds. These scaffolds did not display delamination and were mechanically stronger compared to discrete gradient scaffolds. Due to the versatility of the orthogonal chemistry applied, this approach provides a general strategy for the field; we could anchor other tissue specific cues on the clickable groups, making these gradient scaffolds interesting for multiple interfacial tissue applications.
Changes in Population Health-Related Behaviors During a COVID-19 Surge: A Natural Experiment
Authors: Delgado-Ortiz Laura , Carsin Anne-Elie , Merino Jordi , Cobo Inés , Koch Sarah , Goldberg Ximena , Chevance Guillaume , Bosch de Basea Magda , Castaño-Vinyals Gemma , Espinosa Ana , Carreras Anna , Cortes Martínez Beatriz , Straif Kurt , de Cid Rafael , Kogevinas Manolis , Garcia-Aymerich Judith 
Published: November 2022

AbstractBackgroundThe study of impact of lockdowns on individual health-related behaviors has produced divergent results.PurposeTo identify patterns of change in multiple health-related behaviors analyzed as a whole, and their individual determinants.MethodsBetween March and August 2020, we collected data on smoking, alcohol, physical activity, weight, and sleep in a population-based cohort from Catalonia who had available pre-pandemic data. We performed multiple correspondence and cluster analyses to identify patterns of change in health-related behaviors and built multivariable multinomial logistic regressions to identify determinants of behavioral change.ResultsIn 10,032 participants (59% female, mean (SD) age 55 (8) years), 8,606 individuals (86%) modified their behavior during the lockdown. We identified five patterns of behavioral change that were heterogeneous and directed both towards worsening and improvement in diverse combinations. Patterns ranged from “global worsening” (2,063 participants, 21%) characterized by increases in smoking, alcohol consumption, and weight, and decreases in physical activity levels and sleep time, to “improvement” (2,548 participants, 25%) characterized by increases in physical activity levels, decreases in weight and alcohol consumption, and both increases and decreases in sleep time. Being female, of older age, teleworking, having a higher education level, assuming caregiving responsibilities, and being more exposed to pandemic news were associated with changing behavior (all p &lt; .05), but did not discriminate between favorable or unfavorable changes.ConclusionsMost of the population experienced changes in health-related behavior during lockdowns. Determinants of behavior modification were not explicitly associated with the direction of changes but allowed the identification of older, teleworking, and highly educated women who assumed caregiving responsibilities at home as susceptible population groups more vulnerable to lockdowns.
The Test of Visuospatial Construction: A Novel Test of Non-motoric Visuoconstruction
Authors: McDermott Adam T , Frazier Rebecca L , Stewart Peter V 
Published: November 2022

Abstract

Objective
The Test of Visuospatial Construction (TVSC) was designed as an easily administered measure of non-motor visuoconstruction, though only preliminary data exists regarding the clinical utility of this task. The current study examined the diagnostic accuracy of the TVSC by comparing performance between healthy subjects and various clinical groups. The authors also wanted to determine whether previous findings could be replicated regarding its effectiveness at tracking cognitive decline.

Method
Archival data collected over a period of more than 10 years were utilized and the overall sample consisted of 955 individuals, 372 healthy subjects, and 583 subjects who were categorized into various clinical groups. Only TVSC test data and demographic variables were utilized for statistical analyses in this study.

Results
The control group obtained significantly higher scores on the TVSC than the clinical groups. AUC values were indicative of excellent discrimination between cases and controls. Exploratory ROC curve analyses suggested adequate to excellent discrimination between the control group and the individual clinical groups as well as between the mild cognitive impairment (MCI) subgroups and the two dementia groups.

Conclusions
This study demonstrates that the TVSC can effectively differentiate between healthy subjects and neurologically compromised individuals. Additionally, the TVSC may be able to measure the progressive decline in visuoconstructive abilities that occurs as patients traverse the spectrum of MCI and dementia.
Privacy-aware estimation of relatedness in admixed populations
Authors: Wang Su , Kim Miran , Li Wentao , Jiang Xiaoqian , Chen Han , Harmanci Arif 
Published: November 2022

Abstract

Background
Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and often make an untenable assumption of homogeneous population ancestry of the samples. Moreover, genetic privacy is generally overlooked in the usage of kinship estimation methods. There can be ethical concerns about finding unknown familial relationships in third-party databases. Similar ethical concerns may arise while estimating and reporting sensitive population-level statistics such as inbreeding coefficients for the concerns around marginalization and stigmatization.

Results
Here, we present SIGFRIED, which makes use of existing reference panels with a projection-based approach that simplifies kinship estimation in the admixed populations. We use simulated and real datasets to demonstrate the accuracy and efficiency of kinship estimation. We present a secure federated kinship estimation framework and implement a secure kinship estimator using homomorphic encryption-based primitives for computing relatedness between samples in two different sites while genotype data are kept confidential. Source code and documentation for our methods can be found at https://doi.org/10.5281/zenodo.7053352.

Conclusions
Analysis of relatedness is fundamentally important for identifying relatives, in association studies, and for estimation of population-level estimates of inbreeding. As the awareness of individual and group genomic privacy is growing, privacy-preserving methods for the estimation of relatedness are needed. Presented methods alleviate the ethical and privacy concerns in the analysis of relatedness in admixed, historically isolated and underrepresented populations.

Short Abstract
Genetic relatedness is a central quantity used for finding relatives in databases, correcting biases in genome wide association studies and for estimating population-level statistics. Methods for estimating genetic relatedness have high computational requirements, and occasionally do not consider individuals from admixed ancestries. Furthermore, the ethical concerns around using genetic data and calculating relatedness are not considered. We present a projection-based approach that can efficiently and accurately estimate kinship. We implement our method using encryption-based techniques that provide provable security guarantees to protect genetic data while kinship statistics are computed among multiple sites.
Ensembles of knowledge graph embedding models improve predictions for drug discovery
Authors: Rivas-Barragan Daniel , Domingo-Fernández Daniel , Gadiya Yojana , Healey David 
Published: November 2022

Abstract
Recent advances in Knowledge Graphs (KGs) and Knowledge Graph Embedding Models (KGEMs) have led to their adoption in a broad range of fields and applications. The current publishing system in machine learning requires newly introduced KGEMs to achieve state-of-the-art performance, surpassing at least one benchmark in order to be published. Despite this, dozens of novel architectures are published every year, making it challenging for users, even within the field, to deduce the most suitable configuration for a given application. A typical biomedical application of KGEMs is drug–disease prediction in the context of drug discovery, in which a KGEM is trained to predict triples linking drugs and diseases. These predictions can be later tested in clinical trials following extensive experimental validation. However, given the infeasibility of evaluating each of these predictions and that only a minimal number of candidates can be experimentally tested, models that yield higher precision on the top prioritized triples are preferred. In this paper, we apply the concept of ensemble learning on KGEMs for drug discovery to assess whether combining the predictions of several models can lead to an overall improvement in predictive performance. First, we trained and benchmarked 10 KGEMs to predict drug–disease triples on two independent biomedical KGs designed for drug discovery. Following, we applied different ensemble methods that aggregate the predictions of these models by leveraging the distribution or the position of the predicted triple scores. We then demonstrate how the ensemble models can achieve better results than the original KGEMs by benchmarking the precision (i.e., number of true positives prioritized) of their top predictions. Lastly, we released the source code presented in this work at https://github.com/enveda/kgem-ensembles-in-drug-discovery.
Sex bias in utero alters ovarian reserve but not uterine capacity in female offspring
Authors: Geijer-Simpson Annika V , Tinning Haidee , De Bem Tiago H C , Tsagakis Ioannis , Taylor Alysha S , Hume Laura , Collins Lisa M , Forde Niamh 
Published: November 2022

AbstractEnvironmental stressors to which a fetus is exposed affect a range of physiological functions in postnatal offspring. We aimed to determine the in utero effect of steroid hormones on the reproductive potential of female offspring using a porcine model. Reproductive tracts of pigs from female-biased (&gt;65% female, n = 15), non-biased (45–54.9% female, n = 15), and male-biased litters (&lt;35% females, n = 9) were collected at slaughter (95–115 kg). Ovaries and uterine horns were processed for H&E or immunohistochemistry. Variability of data within groups was analyzed with a Levene’s test, while data were analyzed using mixed linear models in R. In the ovarian reserve, there was a significant birth weight by sex ratio interaction (P = 0.015), with low birth weight pigs from male-biased litters having higher numbers of primordial follicles with opposite trends seen in pigs from female-biased litters. Sex bias held no effect on endometrial gland development. A lower birth weight decreased the proportion of glands found in the endometrium (P = 0.045) and was more variable in both male-biased and female-biased litters (P = 0.026). The variability of primordial follicles from male-biased litters was greater than non- and female-biased litters (P = 0.014). Similarly, endometrial stromal nuclei had a greater range in male- and female-biased litters than non-biased litters (P = 0.028). A crucial finding was the greater variability in primordial follicles in the ovaries from females derived from male-biased litters and stromal cell count in the endometrium of females from male- and female-biased litters. This could be inflating the variability of reproductive success seen in females from male-biased litters.
Postoperative muscle loss, protein intake, physical activity and outcome associations
Authors: Hogenbirk Rianne N M , van der Plas Willemijn Y , Hentzen Judith E K R , van Wijk Laura , Wijma Allard G , Buis Carlijn I , Viddeleer Alain R , de Bock Geertruida H , van der Schans Cees P , van Dam Gooitzen M , Kruijff Schelto , Klaase Joost M 
Published: November 2022

Abstract

Background
Skeletal muscle loss is often observed in intensive care patients. However, little is known about postoperative muscle loss, its associated risk factors, and its long-term consequences. The aim of this prospective observational study is to identify the incidence of and risk factors for surgery-related muscle loss (SRML) after major abdominal surgery, and to study the impact of SRML on fatigue and survival.

Methods
Patients undergoing major abdominal cancer surgery were included in the MUSCLE POWER STUDY. Muscle thickness was measured by ultrasound in three muscles bilaterally (biceps brachii, rectus femoris, and vastus intermedius). SRML was defined as a decline of 10 per cent or more in diameter in at least one arm and leg muscle within 1 week postoperatively. Postoperative physical activity and nutritional intake were assessed using motility devices and nutritional diaries. Fatigue was measured with questionnaires and 1-year survival was assessed with Cox regression analysis.

Results
A total of 173 patients (55 per cent male; mean (s.d.) age 64.3 (11.9) years) were included, 68 of whom patients (39 per cent) showed SRML. Preoperative weight loss and postoperative nutritional intake were statistically significantly associated with SRML in multivariable logistic regression analysis (P &lt; 0.050). The combination of insufficient postoperative physical activity and nutritional intake had an odds ratio of 4.00 (95 per cent c.i. 1.03 to 15.47) of developing SRML (P = 0.045). No association with fatigue was observed. SRML was associated with decreased 1-year survival (hazard ratio 4.54, 95 per cent c.i. 1.42 to 14.58; P = 0.011).

Conclusion
SRML occurred in 39 per cent of patients after major abdominal cancer surgery, and was associated with a decreased 1-year survival.
Reward insensitivity is associated with dopaminergic deficit in rapid eye movement sleep behaviour disorder
Authors: Barber Thomas R , Muhammed Kinan , Drew Daniel , Bradley Kevin M , McGowan Daniel R , Klein Johannes C , Manohar Sanjay G , Hu Michele T M , Husain Masud 
Published: November 2022

AbstractIdiopathic rapid eye movement sleep behaviour disorder (iRBD) has now been established as an important marker of the prodromal stage of Parkinson’s disease and related synucleinopathies. However, although dopamine transporter single photon emission computed tomography (SPECT) has been used to demonstrate the presence of nigro-striatal deficit in iRBD, quantifiable correlates of this are currently lacking. Sensitivity to rewarding stimuli is reduced in some people with Parkinson’s disease, potentially contributing to aspects of the neuropsychiatric phenotype in these individuals. Furthermore, a role for dopaminergic degeneration is suggested by the fact that reward insensitivity can be improved by dopaminergic medications. Patients with iRBD present a unique opportunity to study the relationship between reward sensitivity and early dopaminergic deficit in the unmedicated state.Here, we investigate whether a non-invasive, objective measure of reward sensitivity might be a marker of dopaminergic status in prodromal Parkinson’s disease by comparing with SPECT/CT measurement of dopaminergic loss in the basal ganglia. Striatal dopaminergic deficits in iRBD are associated with progression to Parkinsonian disorders. Therefore, identification of a clinically measurable correlate of this degenerative process might provide a basis for the development of novel risk stratification tools.Using a recently developed incentivized eye-tracking task, we quantified reward sensitivity in a cohort of 41 patients with iRBD and compared this with data from 40 patients with Parkinson’s disease and 41 healthy controls. Patients with iRBD also underwent neuroimaging with dopamine transporter SPECT/CT. Overall, reward sensitivity, indexed by pupillary response to monetary incentives, was reduced in iRBD cases compared with controls and was not significantly different to that in patients with Parkinson’s disease. However, in iRBD patients with normal dopamine transporter SPECT/CT imaging, reward sensitivity was not significantly different from healthy controls. Across all iRBD cases, a positive association was observed between reward sensitivity and dopaminergic SPECT/CT signal in the putamen. These findings demonstrate a direct relationship between dopaminergic deficit and reward sensitivity in patients with iRBD and suggest that measurement of pupillary responses could be of value in models of risk stratification and disease progression in these individuals.
Digital Image Anti-Forensic Model Using Exponential Chaotic Biogeography-Based Optimization Algorithm
Authors: Sudhakar Dr R , Rao Dr P V Venkateswara 
Published: November 2022

Abstract
The innovation in visual imagery has led to massive growth in technologies, wherein digital cameras are obtainable at affordable prices. Thus, the digital images are easily captured and processed due to the internet connectivity. On the other hand, the development of strong image editing software facilitated the forgers to manipulate the accessible images with different tampering operations. Several techniques are devised for detecting the forgeries. Accordingly, this paper devises an anti-forensic model, namely Exponentially Weighted Moving Average-Chaotic Biography Based Optimization (E-CBBO) for joint photographic experts group (JPEG) compression to mitigate the forgeries occurred on the internet while transmitting data. The proposed E-CBBO is designed by integrating the properties of the exponentially weighted moving average (EWMA) with the chaotic biography-based optimization (CBBO). The suggested JPEG anti-forensic model is used to eliminate JPEG compression artifacts through the use of unique deblocking, smoothing with dither and decalibration operations. In addition, the goal is to balance visual quality and forensic undetectability when compressing the JPEG image. The fitness function is developed using the structural similarity index (SSIM), universal image quality index (UIQI) and histogram deviation parameters. With a maximum accuracy of 93.2%, a minimal MSE of 0.110, a maximum SSIM of 0.932 and a maximum UIQI of 0.890, the suggested E-CBBO beat existing approaches.
Survival impact of the number of lymph nodes dissection in patients receiving neoadjuvant chemotherapy for esophageal squamous cell carcinoma
Authors: Jiang Duo , Liu Xian-Ben , Xing Wen-Qun , Chen Pei-Nan , Feng Shao-Kang , Yan Sen , Lerut Toni , Sun Hai-Bo 
Published: November 2022

SummaryThis study aimed to investigate the survival impact of the number of lymph nodes dissection (LND) in patients receiving neoadjuvant chemotherapy (NCT) for esophageal squamous cell carcinoma (ESCC). We retrospectively analyzed the clinical pathological data and survival of 407 ESCC patients who underwent esophagectomy after NCT between January 2015 and December 2016. The relationship between the number of LNDs and 5-year overall survival (OS) or disease-free survival (DFS) was plotted by using restricted cubic spline analysis. A Cox proportional hazards regression model was used to identify prognostic factors of OS and DFS. We observed an obvious non-linear relationship between LND and the hazard ratios (HRs) for OS (P = 0.0015) and DFS (P &lt; 0.001) of all the patients. In the multivariate analysis of OS and DFS, the number of LNDs (greater than 28 and less than 46) had a significant protective effect on survival (OS: HR: 0.61, 95% CI: 0.42–0.88, P = 0.007; DFS: HR: 0.50, 95% CI: 0.36–0.70, P &lt; 0.001). For patients with nodal metastases, it was also an independent prognostic factor for OS (HR, 0.56, 95% CI, 0.35–0.90, P = 0.017) and DFS (HR, 0.42, 95% CI, 0.28–0.65, P &lt; 0.001). Some degree of lymphadenectomy after NCT was beneficial in improving 5-year OS and DFS for ESCC patients with nodal metastases. For patients with nodal negativity, more extended lymphadenectomy did not improve patient survival.
Trends in smoking-attributable mortality in Spain: 1990–2018
Authors: Rey-Brandariz Julia , Pérez-Ríos Mónica , Santiago-Pérez María Isolina , Galán Iñaki , Schiaffino Anna , Varela-Lema Leonor , Montes Agustín , López-Vizcaíno María Esther , Giraldo-Osorio Alexandra , Candal-Pedreira Cristina , Ruano-Ravina Alberto 
Published: November 2022

Abstract

Background
This study sought to analyse the trend in smoking-attributable mortality (SAM) in Spain among the population aged ≥35 years across the period 1990–2018.

Methods
SAM was estimated by applying a prevalence-independent method, which uses lung cancer (LC) mortality as a proxy of tobacco consumption. We sourced observed mortality from the National Institute of Statistics (Spain), LC mortality rates in smokers and never smokers from the Cancer Prevention Study I–II, and relative risks from 5 US cohorts. Estimates of annual SAM by cause of death, sex and age are shown, along with crude and annual standardised SAM rates. The trend in standardised all-cause and LC rates was analysed using a joinpoint regression model.

Results
Tobacco caused 1 717 150 deaths in Spain in the period 1990–2018. Among men, cancers replaced cardiovascular diseases–diabetes mellitus (CVD–DM) as the leading group of tobacco-related cause of death in 1994. Among women, CVD–DM remained the leading cause of death throughout the period. Trend analysis of standardised SAM rates due to all causes and LC showed a decrease in men and an increase in women.

Conclusions
The tobacco epidemic in Spain across the period 1990–2018 has had an important impact on mortality and has evolved differently in both genders. SAM is expected to increase dramatically in women in the coming years. SAM data highlight the importance of including a gender perspective in SAM analyses, in designing more effective and comprehensive public health interventions and in developing gender-specific tobacco control policies to curb tobacco consumption.