bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human neural progenitors establish a diffusion barrier in the endoplasmic reticulum membrane during cell division
Authors: bin Imtiaz Muhammad Khadeesh , Royall Lars N. , Gonzalez-Bohorquez Daniel , Jessberger Sebastian 
Published: July 2022

ABSTRACT
Asymmetric segregation of cellular components regulates the fate and behavior of somatic stem cells. Similar to dividing budding yeast and precursor cells in Caenorhabditis elegans, it has been shown that mouse neural progenitors establish a diffusion barrier in the membrane of the endoplasmic reticulum (ER), which has been associated with asymmetric partitioning of damaged proteins and cellular age. However, the existence of an ER diffusion barrier in human cells remains unknown. Here, we used fluorescence loss in photobleaching (FLIP) imaging to show that human embryonic stem cell (hESC)- and induced pluripotent stem cell (iPSC)-derived neural progenitor cells establish an ER diffusion barrier during cell division. The human ER diffusion barrier is regulated via lamin-dependent mechanisms and is associated with asymmetric segregation of mono- and polyubiquitylated damaged proteins. Further, forebrain regionalized organoids derived from hESCs were used to show the establishment of an ER membrane diffusion barrier in more naturalistic tissues, mimicking early steps of human brain development. Thus, the data provided here show that human neural progenitors establish a diffusion barrier during cell division in the membrane of the ER, which may allow for asymmetric segregation of cellular components, contributing to the fate and behavior of human neural progenitor cells.
A radiomics nomogram for predicting the meningioma grade based on enhanced T1WI images
Authors: Duan Chongfeng , Zhou Xiaoming , Wang Jiachen , Li Nan , Liu Fang , Gao Song , Liu Xuejun , Xu Wenjian 
Published: July 2022

Objectives: The objective of this study was to develop a radiomics nomogram for predicting the meningioma grade based on enhanced T1 weighted imaging (T1WI) images. Methods: 188 patients with meningioma were analyzed retrospectively. There were 94 high-grade meningioma to form high-grade group and 94 low-grade meningioma were selected randomly to form low-grade group. Clinical data and MRI features were analyzed and compared. The clinical model was built by using the significant variables. The least absolute shrinkage and selection operator regression was used to select the most valuable radiomics feature. The radiomics signature was built and the Rad-score was calculated. The radiomics nomogram was developed by the significant variables of the clinical factors and Rad-score. The calibration curve and the Hosmer–Lemeshow test were used to evaluate the radiomics nomogram. Different models were compared by Delong test and decision curve analysis curve. Results: The sex, size and surrounding invasion were used to build clinical model. The area under the receiver operator characteristic curve (AUC) of clinical model was 0.870 (95% CI: 0.782–0.959). Nine features were used to construct the radiomics signature. The AUC of the radiomics signature was 0.885 (95% CI: 0.802–0.968). The AUC of radiomics nomogram was 0.952 (95% CI: 0.904–1). The AUC of radiomics nomogram was higher than that of clinical model and radiomics signature with a significant difference (p＜0.05). The decision curve analysis curve showed that the radiomics nomogram had a larger net benefit than the clinical model and radiomics signature. Conclusion: The radiomics nomogram based on enhanced T1 weighted imaging images for predicting the meningioma grade showed high predictive value and might contribute to the diagnosis and treatment of meningioma. Advances in knowledge: 1. We first constructed a radiomic nomogram to predict the meningioma grade. 2. We compared the results of the clinical model, radiomics signature and radiomics nomogram.
Factors associated with knowledge and awareness of stroke among the Lebanese population: A cross-sectional study
Authors: Malaeb Diana , Dia Nada , Haddad Chadia , Hallit Souheil , Sacre Hala , Barakat Muna , Mansour Sara , Salameh Pascale , Hosseini Hassan 
Published: July 2022

Background: Evaluation of the knowledge about stroke in the general population is extremely vital as it prevents stroke development, limits complications, and achieves better quality of life. We assume that the general Lebanese population lacks awareness about stroke and its associated complications. This study aims to evaluate stroke knowledge and determine the factors associated with stroke awareness among the general Lebanese population. Methods: This cross-sectional study assessed respondents’ sociodemographic characteristics and the identification of risk factors, warning signs, stroke consequences, and early response to stroke symptoms. A total of 551 Lebanese adults without a history of stroke filled in an online self-reported questionnaire publicly shared on social applications. Logistic regression analysis was performed to identify the factors associated with poor knowledge of stroke. Results: Among the 551 participants enrolled, 403 (74.2%) were females and 312 (56.7%) were under 30 years of age. Females compared to males and employed compared to unemployed had significantly higher odds of identifying at least one risk factor (OR=4.3 [95%CI=1.1;16.8] and 6 [95%CI=1.2;29.6], respectively). Also, when compared to unemployed, employed participants had significantly higher odds of recognizing at least one of the early stroke symptoms (OR=3.3 [95%CI=1.2;8.9]) and identifying at least one of the stroke consequences (OR=5.3 [95%CI=1.1;25.9]). Reaching a university level of education compared to a school level was associated with significantly higher odds (OR=2.3 [95%CI=1.1;4.8]) of taking a patient to a hospital. Conclusion: Well-educated, employed, and female participants were more knowledgeable about stroke. Tailored interventions focusing on individuals with inadequate stroke literacy are needed. Further studies, more representative of the general Lebanese population with a larger sample size, are necessary to confirm our findings.
Heatmaps and consensus clustering for ego network exploration
Authors: Boileau Philippe , Kakinami Lisa , Barnett Tracie , Henderson Mélanie , Popovic Lea 
Published: July 2022

Background: Researchers need visualization methods (using statistical and interactive techniques) to efficiently perform quality assessments and glean insights from their data. Data on networks can particularly benefit from more advanced techniques since typical visualization methods, such as node-link diagrams, can be difficult to interpret. We use heatmaps and consensus clustering on network data and show they can be combined to easily and efficiently explore nonparametric relationships among the variables and networks that comprise an ego network data set. Methods: We used ego network data from the Québec Adipose and Lifestyle Investigation in Youth (QUALITY) cohort used to evaluate this method. The data consists of 35 networks centered on individuals (egos), each containing a maximum of 10 nodes (alters). These networks are described through 41 variables: 11 describing the ego (e.g. fat mass percentage), 18 describing the alters (e.g. frequency of physical activity) and 12 describing the network structure (e.g. degree). Results: Four stable clusters were detected. Cluster one consisted of variables relating to the interconnectivity of the ego networks and the locations of interaction, cluster two consisted of the ego’s age, cluster three contained lifestyle variables and obesity outcomes and cluster four was comprised of variables measuring alter importance and diet. Conclusions: This exploratory method using heatmaps and consensus clustering on network data identified several important associations among variables describing the alters’ lifestyle habits and the egos’ obesity outcomes. Their relevance has been identified by studies on the effect of social networks on childhood obesity.
Analysis of the influence of asset allocation policy, investment manager performance, and risk level on the performance of Sharia money market mutual funds in Indonesia
Authors: Firli Anisah , Rismayani Risris , Jannah Dinna Miftahul 
Published: July 2022

Background: Islamic money market mutual funds have become an alternative to conventional investment instruments. This research has novelty in determining the variables of mutual fund performance by combining risk and return factors, asset allocation policy variables, and investment manager performance, which have a high impact on the return and risk level in reducing the risk of loss on investment. In addition, this research was conducted on the performance of Islamic money market mutual funds that have not been studied before. Methods: This research uses data on Islamic money market mutual funds registered with the Financial Services Authority in Indonesia. The performance of Islamic money market mutual funds was calculated using the Sharpe Method and tested using multiple regression analysis. Results: The results showed that the asset allocation policy, investment manager performance, and the level of risk simultaneously have a significant effect on the performance of Islamic money market mutual funds in Indonesia; however, partially, there is no significant effect between (1) the asset allocation policy on the performance of Islamic money market mutual funds in Indonesia: (2) investment manager performance on the performance of Islamic money market mutual funds in Indonesia, and (3) the level of risk on the performance of Islamic money market mutual funds in Indonesia. Conclusions: The results indicated that optimization of returns and risks was needed by considering the composition of asset allocation, choosing the right investment manager, and conducting a good risk level analysis to obtain optimal Islamic money market mutual fund performance.
Case Report: Nasopharyngeal carcinoma has metastasis to the orbit, consequences in anaemia: A paediatric unusual case of Bangladesh.
Authors: Amin Mohammad Ashraful , Nahin Sabrina , Bonna Atia Sharmin , Hawlader Mohammad Delwer Hossain 
Published: July 2022

Background: Although nasopharyngeal carcinoma (NPC) has a significant risk of spreading to other parts of the body early, orbital and ocular surrounding tissues metastases are uncommon. Case Report: This paper described a 16-year-old patient diagnosed with a locally advanced NPC and ocular metastasis and was treated with neoadjuvant chemotherapy treatment. One of the rare early presentations is orbital metastases with vision problems. Discussion: Orbital metastases in children are considerably more uncommon. Cachexia and malnutrition are prevalent problems in people with cancer, affecting life and longevity. Anaemia is a severe issue for nasopharyngeal cancer patients undergoing chemotherapy or radiotherapy. Conclusion: Orbital metastases frequently arise in advanced stages of the disease and in the scenario of many metastases the persistence of therapy and the nasopharyngeal cancer patient's standard of living is linked to the occurrence of anaemia. In addition, to predict the prognosis of individuals with NPC, pretreatment laboratory profiles should be evaluated.
Effect of natural products use prior to infection with COVID-19 on disease severity and hospitalization: A self-reported cross-sectional survey study
Authors: Nimer Refat M. , Khabour Omar F. , Swedan Samer F. , Kofahi Hassan M. 
Published: July 2022

Background: Managing coronavirus disease 2019 (COVID-19) using available resources is essential to reduce the health burden of disease. The severity of COVID-19 is affected by nutritional status. In this study the effect of natural product use prior to infection with COVID-19 on disease severity and hospitalization was explored. Methods: This was a cross-sectional study. Between March and July 2021, a self-administered survey was conducted in Jordan. Individuals who recovered from COVID-19 and were ≥18 years old were the study population. Study measures included the use of natural products, COVID-19 severity, and hospitalization status. A multivariate regression model was used for statistical analysis. Results: The mean age (mean ± SD) of the study sample (n=2,148) was 40.25 ± 15.58 years old. Multivariate logistic regression showed that the regular intake of carnation (OR [0.56], CI [0.37–0.85]), onion (OR [0.69], CI [0.52–0.92]), lemon (OR [0.68], CI [0.51–0.90]), and citrus fruits (OR [0.66], CI [0.50–0.89]) before infection were associated with a substantial reduction in COVID-19 severity (P<0.01). Also, the consumption of carnation (OR [0.55], CI [0.34–0.88]), lemon (OR [0.57], CI [0.42–0.78]), and citrus fruits (OR [0.61], CI [0.44–0.84]) were associated with a significant decrease in the frequency of COVID-19-induced hospitalization (P<0.01). Conclusions: Regular consumption of carnation, lemon, and citrus fruits before infection was associated with better outcomes for COVID-19. Studies on other populations are required to confirm these findings.
vcferr: Development, validation, and application of a single nucleotide polymorphism genotyping error simulation framework
Authors: Nagraj V.P. , Scholz Matthew , Jessa Shakeel , Ge Jianye , Woerner August E. , Huang Meng , Budowle Bruce , Turner Stephen D. 
Published: July 2022

Motivation: Genotyping error can impact downstream single nucleotide polymorphism (SNP)-based analyses. Simulating various modes and levels of error can help investigators better understand potential biases caused by miscalled genotypes. Methods: We have developed and validated vcferr, a tool to probabilistically simulate genotyping error and missingness in variant call format (VCF) files. We demonstrate how vcferr could be used to address a research question by introducing varying levels of error of different type into a sample in a simulated pedigree, and assessed how kinship analysis degrades as a function of the kind and type of error. Software availability: vcferr is available for installation via PyPi (https://pypi.org/project/vcferr/) or conda (https://anaconda.org/bioconda/vcferr). The software is released under the MIT license with source code available on GitHub (https://github.com/signaturescience/vcferr)
Advances in osteosynthesis - a basic overview of modern fixation materials
Authors: Kozioł Maciej , Piech Piotr , Wokurka Wojciech , Maciejewski Ryszard 
Published: July 2022

The dynamic development of trauma-orthopedic surgery and accompanying material technology has led in recent years to the need for close cooperation between researchers in these fields. In a short time, thanks to the cooperation of engineers and doctors, the general approach to the method of bone anastomosis has changed significantly. The need to optimize the effects of treatment, i.e. to quickly recovery, reduce the number of postoperative complications, reduce the number of reoperations, and reduce the costs of procedures and treatment used has resulted in the development of many new technologies that have set trends in modern traumatology. The widespread use of LCP (Locking compression plate) and locking screws, the development of polymers and biopolymers with a modified chemical structure, a significant improvement in the biocompatibility and cytocompatibility of the materials used, and the implementation of products with significant micro-roughness that improve osseointegration are the well-known and commonly used effects of this cooperation today .
Materials science related to orthopedics is an extremely complex and multi-threaded field. Its continuous development requires a periodic summary of the results and development directions provided, which allows faster evaluation and interpretation by researchers. The purpose of the following work is to summarize the latest research on materials and methods used in osteosynthesis in a legible way for potential recipients of this information from various fields.
Determination of Geographical Origin and Tree Species Using Vis-NIR and Chemometric Methods
Authors: Li Ying , Via Brian K. , Li Yaoxiang , Wang Guozhong 
Published: July 2022

Abstract
The variation of wood properties between different geographical origin and tree species has an important influence on end use applications. This study aimed to investigate the feasibility of wood origin and species classification based on visible and near infrared spectroscopy and chemometric methods. The influence of geographical origin on tree species identification also was analyzed. A total of 530 samples with 2 origins and 5 tree species were collected for analysis. The raw reflectance spectra were preprocessed by spectral transformation technique, and nonlinear discrimination models were built by support vector machine (SVM) using various spectral forms. Three algorithms—grid search (GS), genetic algorithm (GA), and particle swarm optimization (PSO)—were applied to optimize the parameters of SVM models, respectively. Regardless of spectral forms and optimization techniques, the prediction accuracy was lower than that of the calibration set for wood origin and tree species identification. Except for reflectance spectra, prediction accuracy of 100 percent was obtained based on SVM in combination with three algorithms for origin discrimination. However, SVM in combination with reflectance spectra and GS technique achieved the best prediction accuracy (93.18%) for tree species identification. These results demonstrated that visible and near infrared spectroscopy combined with chemometric techniques can be used for geographical origin and tree species determination.
Identification of a linear B-cell epitope on the Schistosoma japonicum saposin protein, SjSAP4: Potential as a component of a multi-epitope diagnostic assay
Authors: Mu Yi , Gordon Catherine A. , Olveda Remigio M. , Ross Allen G. , Olveda David U. , Marsh Jessica M. , McManus Donald P. , Cai Pengfei 
Published: July 2022

BackgroundSchistosoma japonicumis one of three major species of blood flukes causing schistosomiasis, a disease, which continues to be a major public health issue in the Philippines. SjSAP4, a member of a multigene family of saposin-like proteins, is a recognized immunodiagnostic biomarker for schistosomiasis japonica. This study aimed to identify linear B-cell epitopes on SjSAP4 and to validate their potential as components of a multi-epitope assay for the serological diagnosis of schistosomiasis japonica.MethodologySjSAP4-derived peptides were expressed as GST-peptide-fused proteins and these were Western blot probed with human serum samples fromS.japonicumKato-Katz (KK)-positive individuals and uninfected controls. A core epitope was further identified by Western blotting through probing a series of truncated peptides with the schistosomiasis patient sera. The diagnostic performance of the core epitope-containing peptides and the full-length SjSAP4 was evaluated by enzyme-linked immunosorbent assay (ELISA) using a panel of sera collected from subjects resident in a schistosomiasis-endemic area of the Philippines.Main findingsAs a result of the peptide mapping, one peptide (P15) was found to be highly immunogenic in the KK-positive individuals. We subsequently showed that -S163QCSLVGDIFVDKYLD178- is a core B-cell epitope of P15. Subsequent ELISAs incorporating SjSAP4, SjSAP4-Peptide and SjSP-13V2-Peptide showed a sensitivity of 94.0%, 46.0% and 74.0%, respectively, and a specificity of 97.1%, 100% and 100%, respectively. Notably, complementary recognition of the B-cell epitopes (SjSAP4-Peptide and SjSP-13V2-Peptide) was observed in a subset of the KK-positive individuals. A dual epitope-ELISA (SjSAP4-Peptide + SjSP-13V2-Peptide-ELISA) showed a diagnostic sensitivity of 84.0% and a specificity of 100%.Conclusions/SignificanceIn this study, -S163QCSLVGDIFVDKYLD178- was identified as a dominant linear B-cell epitope on SjSAP4. This peptide and the complementary recognition of other B-cell epitopes using sera from different KK-positive individuals can provide the basis of developing a multi-epitope assay for the serological diagnosis of schistosomiasis.
Accuracy measurement of different marker based motion analysis systems for biomechanical applications: A round robin study
Authors: Schroeder Stefan , Jaeger Sebastian , Schwer Jonas , Seitz Andreas Martin , Hamann Isabell , Werner Michael , Thorwaechter Christoph , Santos Inês , Wendler Toni , Nebel Dennis , Welke Bastian 
Published: July 2022

Introduction
Multiple camera systems are widely used for 3D-motion analysis. Due to increasing accuracies these camera systems gained interest in biomechanical research areas, where high precision measurements are desirable. In the current study different measurement systems were compared regarding their measurement accuracy.

Materials and methods
Translational and rotational accuracy measurements as well as the zero offset measurements of seven different measurement systems were performed using two reference devices and two different evaluation algorithms. All measurements were performed in the same room with constant temperature at the same laboratory. Equal positions were measured with the systems according to a standardized protocol. Measurement errors were determined and compared.

Results
The highest measurement errors were seen for a measurement system using active ultrasonic markers, followed by another active marker measurement system (infrared) having measurement errors up to several hundred micrometers. The highest accuracies were achieved by three stereo camera systems, using passive 2D marker points having errors typically below 20 μm.

Conclusions
This study can help to better assess the results obtained with different measurement systems. With the focus on the measurement accuracy, only one aspect in the selection of a system was considered. Depending on the requirements of the user, other factors like measurement frequency, the maximum analyzable volume, the marker type or the costs are important factors as well.
Original Cast Album: Company, D. A. Pennebaker (dir.) (1970)
Authors: Buchman Andrew 
Published: July 2022

Review of: Original Cast Album: Company, D. A. Pennebaker (dir.) (1970)
53 minutes (52:56), ISBN 978-1-68143-868-9, Streaming on the Criterion Channel, available on (1K) DVD, $23.95 and Blu-Ray (4K) DVD, USD $31.96
Beyond Broadway: The Pleasure and Promise of Musical Theatre Across America, Stacy Wolf (2020)
Authors: Gelles Barrie 
Published: July 2022

Review of: Beyond Broadway: The Pleasure and Promise of Musical Theatre Across America, Stacy Wolf (2020)
New York: Oxford University Press, 382 pp.,
ISBN 978-0-19-063953-2, p/bk, USD $99.00
Putting It Together: How Stephen Sondheim and I Created Sunday in the Park with George, James Lapine (2021)
Authors: Housez Lara E. 
Published: July 2022

Review of: Putting It Together: How Stephen Sondheim and I Created Sunday in the Park with George, James Lapine (2021)
New York: Farrar, Straus and Giroux, 416 pp.,
ISBN 978-0-37420-009-1, h/bk, GBP £32