bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of sarcopenic obesity on post-hepatectomy bile leakage for hepatocellular carcinoma
Authors: Hayashi Hikaru , Shimizu Akira , Kubota Koji , Notake Tsuyoshi , Masuo Hitoshi , Yoshizawa Takahiro , Hosoda Kiyotaka , Sakai Hiroki , Yasukawa Koya , Soejima Yuji
Published: October 2023

Background

Post-hepatectomy bile leakage (PHBL) is a potentially fatal complication that can arise after hepatectomy. Previous studies have identified obesity as a risk factor for PHBL. In this study, we investigated the impact of sarcopenic obesity on PHBL in hepatocellular carcinoma (HCC) patients.

Methods

In total, we enrolled 409 patients who underwent hepatectomy without bilioenteric anastomosis for HCC between January 2010 and August 2021. Patients were grouped according to the presence or absence of PHBL. Patient characteristics, including body mass index and sarcopenic obesity, were then analyzed for predictive factors for PHBL.

Results

Among the 409 HCC patients included in the study, 39 developed PHBL. Male sex, hypertension, cardiac disease, white blood cell counts, the psoas muscle area, and visceral fat area, and intraoperative blood loss were significantly increased in the PHBL (+) group compared with the PHBL (−) group. Multivariate analysis showed that the independent risk factors for the occurrence of PHBL were intraoperative blood loss ≥370 mL and sarcopenic obesity.

Conclusions

Our results show that it is important to understand whether a patient is at high risk for PHBL prior to surgery and to focus on reducing intraoperative blood loss during surgery for patients with risk factors for PHBL.
Development of an image processing software for quantification of histological calcification staining images
Authors: Li Xinrui , Chan Yau Tsz , Jiang Yangzi
Published: October 2023

Quantification of the histological staining images gives important insights in biomedical research. In wet lab, it is common to have some stains off the target to become unwanted noisy stains during the generation of histological staining images. The current tools designed for quantification of histological staining images do not consider such situations; instead, the stained region is identified based on assumptions that the background is pure and clean. The goal of this study is to develop a light software named Staining Quantification (SQ) tool which could handle the image quantification job with features for removing a large amount of unwanted stains blended or overlaid with Region of Interest (ROI) in complex scenarios. The core algorithm was based on the method of higher order statistics transformation, and local density filtering. Compared with two state-of-art thresholding methods (i.e. Otsu’s method and Triclass thresholding method), the SQ tool outperformed in situations such as (1) images with weak positive signals and experimental caused dirty stains; (2) images with experimental counterstaining by multiple colors; (3) complicated histological structure of target tissues. The algorithm was developed in R4.0.2 with over a thousand in-house histological images containing Alizarin Red (AR) and Von Kossa (VK) staining, and was validated using external images. For the measurements of area and intensity in total and stained region, the average mean of difference in percentage between SQ and ImageJ were all less than 0.05. Using this as a criterion of successful image recognition, the success rate for all measurements in AR, VK and external validation batch were above 0.8. The test of Pearson’s coefficient, difference between SQ and ImageJ, and difference of proportions between SQ and ImageJ were all significant at level of 0.05. Our results indicated that the SQ tool is well established for automatic histological staining image quantification.
Assembly and comparative analysis of the complete mitochondrial genome of Isopyrum anemonoides (Ranunculaceae)
Authors: Yisilam Gulbar , Liu Zhiyou , Turdi Rayhangul , Chu Zhenzhou , Luo Wei , Tian Xinmin
Published: October 2023

Ranunculaceae is a large family of angiosperms comprising 2500 known species—a few with medicinal and ornamental values. Despite this, only two mitochondrial genomes (mitogenomes) of the family have been released in GenBank. Isopyrum anemonoides is a medicinal plant belonging to the family Ranunculaceae, and its chloroplast genome has recently been reported; however, its mitogenome remains unexplored. In this study, we assembled and analyzed the complete mitochondrial genome of I. anemonoides and performed a comparative analysis against different Ranunculaceae species, reconstructing the phylogenetic framework of Isopyrum. The circular mitogenome of I. anemonoides has a length of 206,722 bp, with a nucleotide composition of A (26.4%), T (26.4%), C (23.6%), and G (23.6%), and contains 62 genes, comprising 37 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, and three ribosomal RNA (rRNA) genes. Abundantly interspersed repetitive and simple sequence repeat (SSR) loci were detected in the I. anemonoides mitogenome, with tetranucleotide repeats accounting for the highest proportion of SSRs. By detecting gene migration, we observed gene exchange between the chloroplast and mitogenome in I. anemonoides, including six intact tRNA genes, six PCG fragments, and fragments from two rRNA genes. Comparative mitogenome analysis of three Ranunculaceae species indicated that the PCG contents were conserved and the GC contents were similar. Selective pressure analysis revealed that only two genes (nad1 and rpl5) were under positive selection during their evolution in Ranunculales, and two specific RNA editing sites (atp6 and mttB) were detected in the I. anemonoides mitogenome. Moreover, a phylogenetic analysis based on the mitogenomes of I. anemonoides and the other 15 taxa accurately reflected the evolutionary and taxonomic status of I. anemonoides. Overall, this study provides new insights into the genetics, systematics, and evolution of mitochondrial evolution in Ranunculaceae, particularly I. anemonoides.
Effects of the COVID-19 pandemic on hospice and palliative care in nursing homes—A qualitative study from a multiperspective view
Authors: Bußmann Anna , Pomorin Natalie , Gerling Vera , Wolthaus Hendrik , Teichmüller Anne-Katrin
Published: October 2023

In Germany, nursing homes are characterised by challenging conditions for adequately supporting residents at their end of life, which have even amplified due to the COVID-19 pandemic. This article therefore analyses how hospice and palliative care in nursing homes has changed due to the COVID-19 pandemic and how the pandemic has affected residents, relatives and employees. Semi-structured interviews with employees, residents and relatives were conducted before and during the COVID-19 pandemic in two nursing homes in North Rhine-Westphalia, Germany. In a pre-post comparison, data were qualitatively evaluated using content analysis according to Mayring. Shifts, congruities and discrepancies in challenges in hospice and palliative care were identified between T0 and T1. Due to contact restrictions, important parts of end-of-life care were missing, and the roles of individuals providing hospice and palliative care were redefined. The interviewed groups experienced changes differently and contradictory statements on satisfaction and expectations about hospice and palliative care were reported. Employees and relatives predominantly perceived the pandemic to be very stressful, while residents endured this period more composedly. Employees stated that, despite the pandemic, they were mostly able to meet residents’ requests. However, relatives and residents expressed that minor requests were not reliably fulfilled, neither at T0 nor at T1. Drawing together the different perspectives from employees, residents and relatives offers a bigger picture of challenges in hospice and palliative care in nursing homes and the pandemic effects. Stronger communication of requests and needs as well as greater collaboration, especially under crisis conditions, are essential for a better quality of end-of-life care. There is an urgent need to break down the taboos around the topics of dying and death in nursing homes.
The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial
Authors: Kawata Yuji , Kuroda Sachiko , Owan Hideo
Published: October 2023

Based on a randomized controlled trial applied to employees of a manufacturing company, this study examines the extent to which a corporate sleep program improves workers’ sleep health and productivity. In the three-month sleep improvement program, applicants were randomly divided into a treatment group and a control group, and the treatment group was provided with a noncontact sensing device to visualize their sleep. A smartphone app linked to the device notified them of their sleep data every morning and presented them with advice on behavioral changes to improve their sleep on a weekly basis. The results of the analysis revealed the following. First, even after controlling for factors that may cause sleep disturbances and nocturnal awakenings, such as increased workload and the number of days spent working from home during the measurement period, the treatment group showed improved sleep after the program compared to the control group. Second, the treatment group showed statistically significant improvement in presenteeism (productivity). The effect size on presenteeism through sleep improvement was similar regardless of the estimation method used (i.e., ANCOVA estimator of ATT and two 2SLS methods were performed). In particular, we confirmed that productivity was restored through sleep improvement for the participants who diligently engaged in the program. These results suggest that promoting sleep health using information technology can improve sleep deficiency and restore productivity.
An enhanced decision-making framework for predicting future trends of sharing economy
Authors: Wu Qiong , Tang Xiaoxiao , Li Rongjie , Liu Lei , Chen Hui-Ling
Published: October 2023

This work aims to provide a reliable and intelligent prediction model for future trends in sharing economy. Moreover, it presents valuable insights for decision-making and policy development by relevant governmental bodies. Furthermore, the study introduces a predictive system that incorporates an enhanced Harris Hawk Optimization (HHO) algorithm and a K-Nearest Neighbor (KNN) forecasting framework. The method utilizes an improved simulated annealing mechanism and a Gaussian bare bone structure to improve the original HHO, termed SGHHO. To achieve optimal prediction performance and identify essential features, a refined simulated annealing mechanism is employed to mitigate the susceptibility of the original HHO algorithm to local optima. The algorithm employs a mechanism that boosts its global search ability by generating fresh solution sets at a specific likelihood. This mechanism dynamically adjusts the equilibrium between the exploration and exploitation phases, incorporating the Gaussian bare bone strategy. The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. The outcomes of these experiments unequivocally demonstrate that the SGHHO algorithm outperforms the original HHO algorithm on 96.7% of the functions, substantiating its remarkable superiority. The algorithm can achieve the optimal value of the function on 67% of the tested functions and significantly outperforms other competing algorithms. In addition, the key features selected by the SGHHO-KNN model in the prediction experiment, including " Form of sharing economy in your region " and " Attitudes to the sharing economy ", are important for predicting the future trends of the sharing economy in this study. The results of the prediction demonstrate that the proposed model achieves an accuracy rate of 99.70% and a specificity rate of 99.38%. Consequently, the SGHHO-KNN model holds great potential as a reliable tool for forecasting the forthcoming trajectory of the sharing economy.
The influence of a quick educational video intervention on COVID-19-related knowledge in Ecuador
Authors: Faytong-Haro Marco , Camacho-Leon Genesis , Páez-Plúas Roberto , Sarfraz Azza , Sarfraz Zouina , Michel Jack , Cherrez-Ojeda Ivan
Published: October 2023

Background: Coronavirus disease (COVID-19) is a pandemic that has spread worldwide. Since its discovery, health measures have been put in place to help stop it from spreading. Proper education about COVID-19 is important because it helps people to follow health control measures and learn more about the disease. Objective: This study aimed to compare people´s knowledge of COVID-19 before and after a brief video-based educational intervention. Methods: 87 participants in Ecuador were recruited from a dataset of COVID-positive patients in Ecuador between December 2021 and February 2022. This was a cross-sectional, pre- and post-intervention study. First, COVID-19 knowledge was evaluated and then an educational intervention was provided as a video. After the intervention, the same knowledge questions were used to test the participants, and marginal homogeneity-based chi-square tests were employed for comparison. Results: After watching the educational video, participants knew more about the age group most likely to get the disease and their knowledge of how long it takes for Covid to spread. Their knowledge of other aspects of COVID-19 has also increased. Conclusion: This study shows that educational intervention positively affects the knowledge of people who watch it. At the end of the study, after the intervention, the study participants knew more than they had before. This could be a useful tool for identifying possible pandemics.
Human-hippo conflicts around Lake Tana Biosphere Reserve, Ethiopia: Vulnerability of hippopotamus in human-dominated landscape
Authors: Kifle Zewdu , Assefa Workiyie Worie , Moges Amera
Published: October 2023

Currently, the demand of the human population for more land, water, and other natural resources from wildlife habitats is increasing all over the world. Such intense human pressure results in conflict with wildlife and the impacts affect both parties negatively. The human-hippo conflict poses a serious problem for both local farmers’ livelihoods and hippo conservation. To date, the extent of human-hippo conflict is poorly documented in Ethiopia. Specifically, the extent of human-hippo conflicts around Lake Tana Biosphere Reserve (LTBR) is unknown. Therefore, this study aimed to investigate the extent of human–hippo conflict, and possible mitigation measures proposed by the local people around LTBR, Ethiopia. We conducted a questionnaire interview with the household head, the household head’s wife, or other adults ≥ 18 years old. All respondents reported that crop damage was the main cause of human–hippo conflict around LTBR. Livestock grazing competition (17.4%) and human attack (19.5%) were also sources of conflicts in the region. Respondents claimed that hippos destroyed crops including maize (Zea mays), teff (Eragrostis teff), finger millet (Eleusine coracana), and rice (Oryza sativa). Most (91.2%) respondents claimed that the severity of crop damage caused by hippos was high in the region. Most respondents (range 90 to 93%) complained about high crop damage suggesting that hippos be eliminated from the region. Local people estimated that the population sizes of hippos comprise an average of 243 individuals; however, we counted 122 hippos during our boat survey in the area. The result of this study showed that human-hippo conflicts cause negative effects on both farmers’ livelihood and hippo conservation in the region. To mitigate human-hippo conflict, we suggest that proper land use zonation systems around key areas, broad awareness creation among local people, and alternative crop production should be promoted around the LTBR.
Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018
Authors: Carnauba Renata A. , Sarti Flavia M. , Hassimotto Neuza M. A. , Lajolo Franco M.
Published: October 2023

Objective

The present study aims at evaluating trends and determinants of socioeconomic inequalities in consumption of bioactive compounds in representative sample of the Brazilian population the period from 2008–2009 to 2017–2018.

Methods

Data from two cross-sectional population-based surveys were analyzed in the study, using descriptive analysis and estimation of inequalities in consumption. Trends in polyphenol and carotenoid intake were estimated using food consumption data from National Dietary Survey (NDS) 2008–2009 (n = 34,003) and 2017–2018 (n = 46,164). Evolution and determinants of inequalities in bioactive compounds intake were identified using analysis of inequality based on concentration index.

Results

Consumption of total polyphenols, phenolic acids, flavonoids and carotenoid classes (except for zeaxanthin) was significantly associated with per capita income after adjustment for potential confounders, being higher income associated with higher intake of bioactive compounds. Disaggregation of inequalities showed that education was the main factor associated with consumption of flavonoids, other polyphenols and β-cryptoxanthin in 2008–2009; whilst income was the main barrier to intake of polyphenols and carotenoids in 2017–2018.

Conclusion

Income level and educational attainment have been important determinants to inequalities in bioactive compounds intake in the Brazilian population throughout the period of analysis, being higher intake of bioactive compounds-rich foods and beverages associated with higher income.
The clinical value of hsa-miR-190b-5p in peripheral blood of pediatric β-thalassemia and its regulation on BCL11A expression
Authors: Chen Meihuan , Wang Xinrui , Wang Haiwei , Zhang Min , Chen Lingji , Chen Hong , Pan Yali , Zhang Yanhong , Xu Liangpu , Huang Hailong
Published: October 2023

Background

The B cell CLL/lymphoma 11A (BCL11A) is a key regulator of hemoglobin switching in β-thalassemia (β-thal). Previous study has suggested that dysregulated microRNAs are involved in the regulation of BCL11A expression. The aim of this study was to investigate the clinical value of hsa-miR-190b-5p in β-thal, and to confirm the regulatory effect of hsa-miR-190b-5p on BCL11A expression.

Methods

The peripheral blood of 25 pediatric β-thal patients and 25 healthy controls were selected, and qRT-PCR was used to analyze the levels of hsa-miR-190b-5p and BCL11A mRNA. The relationship between hsa-miR-190b-5p expression and hematological parameters was assessed by Pearson’s correlation test. The diagnostic power of hsa-miR-190b-5p was evaluated by ROC curves analysis. The direct integration between hsa-miR-190b-5p and BCL11A 3’-UTR was confirmed by luciferase reporter assay.

Results

Hsa-miR-190b-5p expression in pediatric β-thal was upregulated, and negatively correlated with the MCH and HbA levels, but positively correlated with the HbF level. Hsa-miR-190b-5p showed a good diagnostic capability for pediatric β-thal equivalent to that of HbA2 (AUC: 0.760 vs. 0.758). Moreover, the levels of BCL11A mRNA in pediatric β-thal were decreased, and hsa-miR-190b-5p had a negative correlation with BCL11A mRNA expression (r = -0.403). BCL11A was a target gene of hsa-miR-190b-5p. The mRNA and protein levels of BCL11A were diminished by introduction of hsa-miR-190b-5p, whereas its expression was upregulated by knockdown of hsa-miR-190b-5p.

Conclusions

Hsa-miR-190b-5p expression was upregulated in pediatric β-thal and might be an effective diagnostic biomarker. BCL11A was negatively regulated by hsa-miR-190b-5p, which might provide new target for the treatment of pediatric β-thal.
Assessing the associations between known genetic variants and substance use in people with HIV in the United States
Authors: Haas Cameron B. , Jordahl Kristina M. , Nance Robin M. , Whitney Bridget M. , Wang Lu , Delaney Joseph A. C. , Ruderman Stephanie , Jia Tongqiu , Mathews Wm. Christopher , Saag Michael S. , Lee Sulggi A. , Napravnik Sonia , Jacobson Jeffrey M. , Chander Geetanjali , McCall Elizabeth M. , Moore Richard D. , Mayer Kenneth H. , Mukherjee Shubhabrata , Lee Won Jun , Crane Paul K. , Crane Heidi , Peter Inga , Lindström Sara
Published: October 2023

Background

The prevalence of substance use in people with HIV (PWH) in the United States is higher than in the general population and is an important driver of HIV-related outcomes. We sought to assess if previously identified genetic associations that contribute to substance use are also observed in a population of PWH.

Methods

We performed genome-wide association studies (GWAS) of alcohol, smoking, and cannabis use phenotypes in a multi-ancestry population of 7,542 PWH from the Center for AIDS Research Network of Integrated Clinical Systems (CNICS). We conducted multi-ancestry GWAS for individuals of African (n = 3,748), Admixed American (n = 1,334), and European (n = 2,460) ancestry. Phenotype data were self-reported and collected using patient reported outcomes (PROs) and three questions from AUDIT-C, an alcohol screening tool. We analyzed nine phenotypes: 1) frequency of alcohol consumption, 2) typical number of drinks on a day when drinking alcohol, 3) frequency of five or more alcoholic drinks in a 30-day period, 4) smoking initiation, 5) smoking cessation, 6) cigarettes per day, 7) cannabis use initiation, 8) cannabis use cessation, 9) frequency of cannabis use during the previous 30 days. For each phenotype we considered a) variants previously identified as associated with a substance use trait and b) novel associations.

Results

We observed evidence for effects of previously reported single nucleotide polymorphisms (SNPs) related to alcohol (rs1229984, p = 0.001), tobacco (rs11783093, p = 2.22E-4), and cannabis use (rs2875907, p = 0.005). We also report two novel loci (19p13.2, p = 1.3E-8; and 20p11.21, p = 2.1E-8) associated with cannabis use cessation.

Conclusions

Our analyses contribute to understanding the genetic bases of substance use in a population with relatively higher rates of use compared to the general population.
Benchmarking variational AutoEncoders on cancer transcriptomics data
Authors: Eltager Mostafa , Abdelaal Tamim , Charrout Mohammed , Mahfouz Ahmed , Reinders Marcel J. T. , Makrodimitris Stavros
Published: October 2023

Deep generative models, such as variational autoencoders (VAE), have gained increasing attention in computational biology due to their ability to capture complex data manifolds which subsequently can be used to achieve better performance in downstream tasks, such as cancer type prediction or subtyping of cancer. However, these models are difficult to train due to the large number of hyperparameters that need to be tuned. To get a better understanding of the importance of the different hyperparameters, we examined six different VAE models when trained on TCGA transcriptomics data and evaluated on the downstream tasks of cluster agreement with cancer subtypes and survival analysis. We studied the effect of the latent space dimensionality, learning rate, optimizer, initialization and activation function on the quality of subsequent downstream tasks on the TCGA samples. We foundβ-TCVAE and DIP-VAE to have a good performance, on average, despite being more sensitive to hyperparameters selection. Based on these experiments, we derived recommendations for selecting the different hyperparameters settings. To ensure generalization, we tested all hyperparameter configurations on the GTEx dataset. We found a significant correlation (ρ= 0.7) between the hyperparameter effects on clustering performance in the TCGA and GTEx datasets. This highlights the robustness and generalizability of our recommendations. In addition, we examined whether the learned latent spaces capture biologically relevant information. Hereto, we measured the correlation and mutual information of the different representations with various data characteristics such as gender, age, days to metastasis, immune infiltration, and mutation signatures. We found that for all models the latent factors, in general, do not uniquely correlate with one of the data characteristics nor capture separable information in the latent factors even for models specifically designed for disentanglement.
Expertise-dependent differences in mental representation metrics of pas de bourrée
Authors: Wittenbrink Pia , Janzen Mira , Jennert Antonia , Strenge Benjamin
Published: October 2023

Precise movement control is of prime importance in almost every kind of sport and greatly influences an athlete’s performance. In dancing not only motor but also cognitive skills, e.g. in the form of memorized representational structures, are essential components of the performance. This study investigated different metrics related to the long-term memory of ballet dancers with different skill levels regarding the pas de bourrée using the structural-dimensional analysis of mental representations (SDA-M) method. To this end, the Correct Action Selection Probability Analysis (CASPA) algorithm, a recent SDA-M extension that predicts the individual probabilities of correct action selections within a movement sequence, has been applied in the context of dancing for the first time. Significant positive correlations were found between participants’ degree of expertise and the proximity of their mental representation structure to the ideal reference structure, as well as between the degree of expertise and the probability of correct action selection within the movement sequence estimated by CASPA. The results indicate that increased training experience in ballet dancing is not only associated with functionally better structured mental representations of the movement sequence but also with a higher probability of correct action selection. These findings provide further evidence for SDA-M with CASPA as an auspicious tool for individualized task-related memory assessments and diagnostics in different action sequences, e.g. as the basis for mental training.
Comparison of two area-level socioeconomic deprivation indices: Implications for public health research, practice, and policy
Authors: Rollings Kimberly A. , Noppert Grace A. , Griggs Jennifer J. , Melendez Robert A. , Clarke Philippa J.
Published: October 2023

Objectives

To compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI).

Methods

Index agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed.

Results

Index correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0–1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified.

Conclusions

Differences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operationalized affects interpretation by researchers as well as public health practitioners and policymakers making decisions about resource allocation and working to address health equity.
Effects of rebound exercises on balance and mobility of people with neurological disorders: A systematic review
Authors: Okemuo Adaora Justina , Gallagher Dearbhla , Dairo Yetunde Marion
Published: October 2023

Background

Therapeutic rebound exercise is gaining popularity among the general population, but its effectiveness in individuals with neurological impairments remains uncertain. To shed light on this, a systematic review was conducted between November 2021 and March 2023 to study the impact of rebound exercise on balance and mobility in this group.

Methods

Six databases were searched. Studies were included if written in English, peer-reviewed, had original research data and assessed the effect of rebound exercise in adults with neurological disorders. The outcomes measured were balance and mobility. Two reviewers independently appraised study quality using the Critical Appraisal Skills Program for Randomized Controlled Trials. Finally, a meta-summary of the included studies was completed, and a meta-analysis was performed using RevMan software version 5.3 to determine the effectiveness of the intervention.

Results

Five studies were included comprising 130 participants aged 31.32±7.67 to 58±12 years, 72% male and 28% female. Participants were in-patients with stroke (49%), multiple sclerosis (24%), Parkinson’s disease (15%) and spinal cord injury (12%). The included papers had moderate to high methodological quality. The timed up-and-go test revealed that the rebound group participants could walk 6.08 seconds quicker over three to eight weeks. Pooled results show that rebound exercise significantly improves mobility (-0.53[-0.94, -0.11], p = 0.01), but no significant improvement was observed in balance.

Conclusion

Rebound exercise has shown the potential to improve mobility in people with neurological disorders. However, the findings should be in the context that the included studies are few and participants were in in-patient settings. PROSPERO registration: CRD42021298030.
Prey selection along a predators’ body size gradient evidences the role of different trait-based mechanisms in food web organization
Authors: Ortiz Esteban , Ramos-Jiliberto Rodrigo , Arim Matías
Published: October 2023

An increase in prey richness, prey size and predator trophic position with predator body size has been consistently reported as prime features of food web organization. These trends have been explained by non-exclusive mechanisms. First, the increase in energy demand with body size determines that larger predators must reduce prey selectivity for achieving the required number of resources, being consumption relationships independent of prey traits. Second, when consumption is restricted by gape limitation, small predators are constrained to select among small prey. However, this selection weakens over large predators, which progressively consume more and larger prey. Finally, the optimal foraging mechanism predicts that larger predators optimize their diet by selecting only large prey with high energy reward. Each one of these mechanisms can individually explain the increase in prey richness, prey size and predator trophic position with predator body size but their relative importance or the direct evidence for their combined role was seldom considered. Here we use the community assembly by trait selection (CATS) theory for evaluating the support for each one of these mechanisms based on the prey selection patterns that they predict. We analyzed how prey body size and trophic guild determine prey selection by predators of increasing body size in a killifish guild from a temporary pond system. Results support the combination of the three mechanisms to explain the structural trends in our food web, although their strength is contingent on prey trophic group. Overall, high energy prey are preferred by larger predators, and small predators select small prey of all trophic status. However, large predators prefer large primary producers and avoid large carnivorous prey, probably because of the inherent risk of consuming other carnivorous. Our study provides a mechanistic understanding of how predator traits determine the selection of prey traits affecting food web assembly.
The combination model of CNN and GCN for machine fault diagnosis
Authors: Zhang Qianqian , Hao Caiyun , Lv Zhongwei , Fan Qiuxia
Published: October 2023

Learning powerful discriminative features is the key for machine fault diagnosis. Most existing methods based on convolutional neural network (CNN) have achieved promising results. However, they primarily focus on global features derived from sample signals and fail to explicitly mine relationships between signals. In contrast, graph convolutional network (GCN) is able to efficiently mine data relationships by taking graph data with topological structure as input, making them highly effective for feature representation in non-Euclidean space. In this article, to make good use of the advantages of CNN and GCN, we propose a graph attentional convolutional neural network (GACNN) for effective intelligent fault diagnosis, which includes two subnetworks of fully CNN and GCN to extract the multilevel features information, and uses Efficient Channel Attention (ECA) attention mechanism to reduce information loss. Extensive experiments on three datasets show that our framework improves the representation ability of features and fault diagnosis performance, and achieves competitive accuracy against other approaches. And the results show that GACNN can achieve superior performance even under a strong background noise environment.
Flowering induction in cassava using photoperiod extension premature pruning and plant growth regulators
Authors: Santos Alexandra Damasceno , Bandeira e Sousa Massaine , Cunha Alves Alfredo Augusto , de Oliveira Eder Jorge
Published: October 2023

Cassava (Manihot esculenta Crantz) is a vital crop for food and economic security in many regions of the world. Despite the economic and social importance of cassava, challenges persist in developing superior varieties that meet the needs of farmers in terms of agronomic performance, nutritional quality, and resistance to pests and diseases. One of the main obstacles for genetic improvement is the lack of synchronization in flowering and the abortion of young flowers, making planned crosses and progeny production difficult. Therefore, the aim of this study was to evaluate the effect of photoperiod, premature pruning, and growth regulators on cassava flowering under low-altitude conditions in Brazil. Eight cassava clones with contrasting flowering capacity were assessed in Cruz das Almas, Bahia, using two photoperiods (ambient condition and extended photoperiod with red light for 12 hours), premature pruning at the first and second branching levels (with and without pruning), and the application of growth regulators: 0.5 mM 6-benzyladenine (BA) and 4.0 mM silver thiosulfate (STS) (with and without). Plots were assessed weekly for the number of female (NFF) and male (NMF) flowers, height of the first branching (H1B, in cm), number of days to the first branching (ND1B), and the number of branching events up to 240 days after planting (NOB). The extended photoperiod did not promote an increase in the number of flowers but allowed for precocity in cassava flowering, reducing the onset of flowering by up to 35 days, and significantly increasing the number of branches, which is closely related to flowering. The use of pruning and plant growth regulators (PGR) resulted in an increase in NFF from 2.2 (control) to 4.6 and NMF from 8.1 to 21.1 flowers. Therefore, under hot and humid tropical conditions at low altitudes in the Recôncavo of Bahia, manipulating the photoperiod and using premature pruning and plant growth regulators can accelerate cassava flowering, benefiting genetic improvement programs.
Exploring associations between social media addiction, social media fatigue, fear of missing out and sleep quality among university students: A cross-section study
Authors: Zhu Xinhong , Zheng Taoyun , Ding Linlin , Zhang Xiaona , Li Zhihan , Jiang Hao
Published: October 2023

Background

Social media use has been linked to poor sleep outcomes among university students in the cyber age, but the association between the negative consequences of social media use and sleep problems is not yet well understood. The present study investigated the relationships among social media usage, social media fatigue (SMF), fear of missing out (FoMO), social media addiction (SMA) and sleep quality in university students.

Method

An online survey was administered to 2744 respondents that included the Pittsburgh Sleep Quality Index (PSQI); questionnaires evaluating FoMO, SMF, and SMA; and questions regarding sleep duration, social media use, health status, and demographic information.

Result

A total of 19.9% of respondents suffered from sleep disturbance. A total of 15.6% of participants had sleep durations less than 5 h, and 21.6% of subjects had sleep durations longer than 9 h. Sleep quality was positively associated with SMF (OR = 1.387, 95% CI: 1.103~1.743), and SMA (OR = 1.415, 95% CI: 1.118~1.791). The relationship between FoMO and sleep disturbance was not significant. Compared to a sleep duration > 9 h, SMF increased the risk of shorter sleep durations [5–6 h sleep (OR = 2.226, 95% CI: 1.132~4.375), 6–7 h sleep (OR = 1.458, 95% CI: 1.061~2.002), and 7–8 h sleep (OR = 1.296, 95% CI: 1.007~1.670)]. FoMO and SMA did not significantly affect sleep duration. In addition, SMA (OR = 3.775, 95% CI: 3.141~4.537), FoMO (OR = 3.301, 95% CI: 2.753~3.958), and sleep disorders (OR = 1.284, 95% CI: 1.006~1.638) increased SMF.

Conclusion

Upon experiencing negative consequences of social media use, such as SMF and SMA, university students were likely to experience sleep problems. Further research exploring the interventions that improve sleep and alleviate negative consequences of social media use should be conducted.
Functional analysis of Collagen 17a1: A genetic modifier of junctional epidermolysis bullosa in mice
Authors: Sproule Thomas J. , Wilpan Robert Y. , Low Benjamin E. , Silva Kathleen A. , Reyon Deepak , Joung J. Keith , Wiles Michael V. , Roopenian Derry C. , Sundberg John P.
Published: October 2023

Previous work strongly implicated Collagen 17a1 (Col17a1) as a potent genetic modifier of junctional epidermolysis bullosa (JEB) caused by a hypomorphic mutation (Lamc2jeb) in mice. The importance of the noncollagenous domain (NC4) of COLXVII was suggested by use of a congenic reduction approach that restricted the modifier effect to 2–3 neighboring amino acid changes in that domain. The current study utilizes TALEN and CRISPR/Cas9 induced amino acid replacements and in-frame indels nested to NC4 to further investigate the role of this and adjoining COLXVII domains both as modifiers and primary risk effectors. We confirm the importance of COLXVI AA 1275 S/G and 1277 N/S substitutions and utilize small nested indels to show that subtle changes in this microdomain attenuate JEB. We further show that large in-frame indels removing up to 1482 bp and 169 AA of NC6 through NC1 domains are surprisingly disease free on their own but can be very potent modifiers of Lamc2jeb/jeb JEB. Together these studies exploiting gene editing to functionally dissect the Col17a1 modifier demonstrate the importance of epistatic interactions between a primary disease-causing mutation in one gene and innocuous ‘healthy’ alleles in other genes.
Laparoscopic ureteroneocystostomy in the treatment of urinary incontinence due to ectopy of the ureters in female dogs: A pilot study
Authors: Prządka Przemysław , Liszka Bartłomiej , Gąsior Ludwika , Antończyk Agnieszka , Skrzypczak Piotr , Kiełbowicz Zdzisław , Kubiak-Nowak Dominika , Gerus Sylwester , Patkowski Dariusz
Published: October 2023

Ureteral ectopia is rare and requires surgical treatment after a thorough diagnostic workup. Open surgical techniques for repositioning ectopic ureters have been known for many years and are well described in the literature. However, to the best of our knowledge, no laparoscopic method of correcting this pathology has been described, which, in our opinion, would benefit the animal in terms of the healing process and overall clinical outcomes. This study aimed to evaluate the possibility of laparoscopic treatment of ureteral ectopia, which causes urinary incontinence in dogs. All of the operated ten dogs presented in this study were client-owned females with symptoms of urinary incontinence due to a unilateral intramural ectopic ureter. A three-trocar laparoscopic technique was used to perform the ureteroneocystostomy of the ectopic ureter. In this article, clinicopathological data, imaging features, procedural findings, complications, and short- and long-term outcomes are presented. The procedure was feasible in all cases. No major postoperative complications were observed. Among the minor complications, slight hematuria was observed in three dogs, which resolved spontaneously. In the period of at least one year after surgery, no negative impact of the procedure was observed. Seven of the ten operated dogs regained urinary continence. The remaining three dogs required additional surgery (urethral bulking) because of a lack of improvement after adjuvant pharmacological treatment. Overall, good-to-excellent long-term outcomes can be achieved; however, dogs that remain incontinent after laparoscopic ureteroneocystostomy may require additional treatment.
Epidemiology of substance use and mental health disorders among forced migrants displaced from the MENAT region: A systematic review and meta-analysis protocol
Authors: Kazemitabar Maryam , Nyhan Kate , Makableh Natalie , Minahan-Rowley Rebecca , Ali Malak , Wazaify Mayyada , Tetrault Jeanette , Khoshnood Kaveh
Published: October 2023

Background

Understanding the epidemiology of substance use disorders (SUDs) and mental health disorders (MHDs) among forced migrants from the Middle East and North Africa and Türkiye (MENAT) region is of utmost importance given their distinct challenges and vulnerabilities. Existing research on the topic is substantial; however, comprehensive systematic reviews are limited. We aim to conduct a systematic literature review to bridge this gap, providing a thorough understanding of SUDs and MHDs epidemiology among this population.

Methods

The systematic review will include original, peer-reviewed research articles published in English or Arabic between 2013 and 2023. It will encompass qualitative, quantitative, and mixed-methods studies focusing on SUDs and/or MHDs among forced migrants from the MENAT region. A Medline (via Ovid) search strategy was developed and will be translated into databases of EMBASE (via Ovid), Web of Science Core Collection (as licensed at Yale), and CINAHL. Risk of Bias in the included studies will be assessed using the Joanna Briggs Institute (JBI) checklist for observational studies and the Cochrane Risk of Bias (ROB) 2 tool for intervention studies. Meta-analysis using random-effects models will be conducted and subgroup analyses based on studies’ data will be performed. The systematic review will be conducted based on the framework introduced by the Joanna Briggs Institute. Additionally, the PRISMA-P extension for systematic reviews was used to report the present protocol. The present systematic review protocol has been registered with PROSPERO, an international prospective register of systematic reviews. The review’s registration ID is CRD42021286882.

Discussion

The systematic review aims to explore, identify and synthesize the evidence to reveal the epidemiology of SU and/or MH of forced migrants of the MENAT region as described in this protocol. In sum, the review will provide evidence to fill the gap in the literature and help the stakeholders, policymakers, and health providers to expand current knowledge of the prevalence and risk factors of SU and/or MH in humanitarian settings.
Founders’ flow: A qualitative study on the role of flow experience in early start-up stages
Authors: Kloep Leonie , Roese Katharina , Peifer Corinna
Published: October 2023

Flow experience is a state of complete absorption while performing an optimally challenging and enjoyable task. It is often experienced at work—both in the form of individual and team flow—and can have a positive effect on performance and well-being. However, start-up founders’ work situation differs from that in established companies, facing not only great autonomy but also new challenges, uncertainty, and risks. It can be assumed that flow also provides benefits in start-ups, however, this has not yet been examined in depth and the factors that may operate differently in start-ups in comparison to other work contexts have not yet been explored in detail. Using a qualitative research approach, 21 founders from different industries were interviewed. Enhancing and inhibiting factors of flow and team flow as well as consequences for the founders and the start-up in general were examined and structured with the help of a qualitative content analysis. A variety of contexts was identified in which founders experienced flow and team flow. Various factors on the individual, task-related and organizational sphere were found to be perceived as promoting or hindering flow and team flow, e.g. well-being, autonomy or the environment. The findings regarding the consequences of flow and team flow show that these mainly are very desirable states for founders, e.g. leading to better results, progress or team processes. Only few negative consequences were identified, e.g. perfectionism. Thus, it is helpful to foster flow in the start-up context. Possible approaches derived from the participants’ statements to this could be, for example, to design flow-promoting environments or participation in specific workshops.
Protective effect of pre-existing natural immunity in a nonhuman primate reinfection model of congenital cytomegalovirus infection
Authors: Moström Matilda J. , Yu Shan , Tran Dollnovan , Saccoccio Frances M. , Versoza Cyril J. , Malouli Daniel , Mirza Anne , Valencia Sarah , Gilbert Margaret , Blair Robert V. , Hansen Scott , Barry Peter , Früh Klaus , Jensen Jeffrey D. , Pfeifer Susanne P. , Kowalik Timothy F. , Permar Sallie R. , Kaur Amitinder
Published: October 2023

Congenital cytomegalovirus (cCMV) is the leading infectious cause of neurologic defects in newborns with particularly severe sequelae in the setting of primary CMV infection in the first trimester of pregnancy. The majority of cCMV cases worldwide occur after non-primary infection in CMV-seropositive women; yet the extent to which pre-existing natural CMV-specific immunity protects against CMV reinfection or reactivation during pregnancy remains ill-defined. We previously reported on a novel nonhuman primate model of cCMV in rhesus macaques where 100% placental transmission and 83% fetal loss were seen in CD4+ T lymphocyte-depleted rhesus CMV (RhCMV)-seronegative dams after primary RhCMV infection. To investigate the protective effect of preconception maternal immunity, we performed reinfection studies in CD4+ T lymphocyte-depleted RhCMV-seropositive dams inoculated in late first / early second trimester gestation with RhCMV strains 180.92 (n = 2), or RhCMV UCD52 and FL-RhCMVΔRh13.1/SIVgag, a wild-type-like RhCMV clone with SIVgag inserted as an immunological marker, administered separately (n = 3). An early transient increase in circulating monocytes followed by boosting of the pre-existing RhCMV-specific CD8+ T lymphocyte and antibody response was observed in the reinfected dams but not in control CD4+ T lymphocyte-depleted dams. Emergence of SIV Gag-specific CD8+ T lymphocyte responses in macaques inoculated with the FL-RhCMVΔRh13.1/SIVgag virus confirmed reinfection. Placental transmission was detected in only one of five reinfected dams and there were no adverse fetal sequelae. Viral whole genome, short-read, deep sequencing analysis confirmed transmission of both reinfection RhCMV strains across the placenta with ~30% corresponding to FL-RhCMVΔRh13.1/SIVgag and ~70% to RhCMV UCD52, consistent with the mixed human CMV infections reported in infants with cCMV. Our data showing reduced placental transmission and absence of fetal loss after non-primary as opposed to primary infection in CD4+ T lymphocyte-depleted dams indicates that preconception maternal CMV-specific CD8+ T lymphocyte and/or humoral immunity can protect against cCMV infection.