bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does Health Service Funding Go Where the Need Is? A Prototype Spatial Access Analysis for New Urban Contracts Data
Authors: Koschinsky Julia , Marwell Nicole , Mansour Raed 
Published: April 2021

Abstract
Background Much of spatial access research measures the proximity to health service locations. We advance this research by focusing on whether health service funding is within walkable reach of neighborhoods with high hardship. This is made possible by a new administrative data source: financial contracts data for those human services that are delivered by nonprofits under contract with the government. Methods In a prototypical spatial access study we apply a classic 2-step floating area catchment model for walkable network access to analyze 2018 data about contracted nonprofit health services funded by the Chicago Department of Public Health (CDPH). CDPH collected the data for the purpose of this study. Results We find that the common container approach of aggregating contract amounts by provider headquarter locations in a given area (ignoring satellite service sites) underestimates the share of funding that goes to Chicago neighborhoods with higher hardship. Once service sites and spatial access are taken into account, a larger share of CDPH funds was found to be within walkable reach of Chicago’s high hardship areas. This was followed by low hardship areas (which could be driven by more headquarter locations there that do serve areas throughout the city). Medium hardship areas trail both, perhaps warranting closer attention. We explore these results by program type and neighborhood with a spatial decision support system developed for the health department. Conclusions The typical approach for analyzing human service contracts based on headquarters is misleading -- in fact, we find that results are reversed when service sites and walkable access are taken into account. This prototype provides an alternative framework for avoiding these misleading results
Research on PIV Algorithm for Matching of Particle Images Based on Affine Transformation
Authors: Li Jia , TAN Da-Long , Zhao Fei , Yue Xiang-Ji 
Published: April 2021

Abstract
For the problems of distortion and rotation in the matching of particle images of turbulent motion, according to the nature of affine transformation, using log-polar coordinate transformation, the matching is achieved by performing correlation calculations on the image line by line, and developed a matching algorithm (Turbulent Particle Image Matching, abbreviation: TPIM) for particle image pairs with affine transformation and rigid body transformation: by moving the interpretation window, the algorithm is no longer restricted by displacements of particles; by setting the affine lines according to the angle of the image in the log-polar coordinate system and using the affine line as the matching unit, the decoupling of different transformation factors is realized; according to the characteristic of non-uniform sampling in log-polar coordinate transformation, based on the principle of not losing image information, by reasonably setting the image mask and the rate of sampling, establishing the image pyramid and the relative coordinate system, the algorithm complexity is reduced to about 15% of the original. The experimental results of various types of particle images show that the matching accuracy of the TPIM algorithm can reach more than 99%.
The association between XRCC3 rs1799794 polymorphism and cancer risk: a meta-analysis of 34 case-control studies
Authors: Liu Weiqing , Ma Shumin , Liang Lei , Kou Zhiyong , Zhang Hongbin , Yang Jun 
Published: April 2021

Abstract
Background: Studies on the XRCC3 rs1799794 polymorphism show that this polymorphism is involved in a variety of cancers, but its specific relationships or effects are not consistent. The purpose of this meta-analysis was to investigate the association between rs1799794 polymorphism and susceptibility to cancer. Methods: PubMed, Embase, the Cochrane Library, Web of Science, and Scopus were searched for eligible studies through June 11, 2019. All analyses were performed with Stata 14.0. Subgroup analyses were performed by cancer type, ethnicity, source of control, and detection method. A total of 37 studies with 23,537 cases and 30,649 controls were included in this meta-analysis. Results: XRCC3 rs1799794 increased cancer risk in the dominant model and heterozygous model (GG+AG vs. AA: odds ratio [OR] = 1.04, 95% confidence interval [CI] = 1.00–1.08, P = 0.051; AG vs. AA: OR = 1.05, 95% CI = 1.00–1.01, P = 0.015). The existence of rs1799794 increased the risk of breast cancer and thyroid cancer, but reduced the risk of ovarian cancer. In addition, rs1799794 increased the risk of cancer in the Caucasian population. Conclusion: This meta-analysis confirms that XRCC3 rs1799794 is related to cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, well-designed large-scale studies are required to further evaluate the results.
Comprehensive Output Estimation of Double Scattering Proton System with Analytical and Machine Learning Models
Authors: Zhu Jiahua , Cui Taoran , Zhang Yin , Zhang Yang , Ma Chi , Liu Bo , Nie Ke , Yue Ning , Wang Xiao 
Published: April 2021

Abstract
The beam output of double scattering proton system is difficult to be accurately modeled by treatment planning system (TPS). This study aims to design an empirical method using the analytical and machine learning (ML) models to estimate proton output in a double scattering proton system. Three analytical models and three ML models using Gaussian process regression (GPR) were generated on a training dataset consisting of 1544 clinical measurements, and the accuracy of each model was validated against additional 241 clinical measurements as testing dataset. Two most robust models (polynomial model and the ML GPR model with exponential kernel) were selected, and these two independent models agreed with less than 2% deviation using the testing dataset. The minimum number of samples needed for either model to achieve sufficient accuracy (± 3%) was determined by evaluating the mean average percentage error (MAPE) with increasing sample number, and the differences between the estimated outputs using the two models were also compared for 1000 proton beams with randomly generated range, and modulation for each option. These two models can be used as an independent output prediction tool for a double scattering proton beam, and a secondary output check tool for cross check between themselves.
3D monitoring of the surface slippage effect on micro-particle sedimentation by digital holographic microscopy
Authors: Panahi Majid , Jamali Ramin , Rad Vahideh Farzam , Khorasani Mojtaba , Darudi Ahamd , Moradi Ali-Reza 
Published: April 2021

Abstract
In several phenomena in biology and industry, it is required to understand the comprehensive behavior of sedimenting micro-particles in fluids. Here, we use the numerical refocusing feature of digital holographic microscopy (DHM) to investigate the slippage effect on micro-particle sedimentation near a flat wall. DHM provides quantitative phase contrast and three-dimensional (3D) imaging in arbitrary time scales, which suggests it as an elegant approach to investigate various phenomena, including dynamic behavior of colloids. 3D information is obtained by post-processing of the recorded digital holograms. Through analysis of 3D trajectories and velocities of multiple sedimenting micro-particles, we show that proximity to flat walls of higher slip lengths causes faster sedimentation. The effect depends on the ratio of the particle size to (1) the slip length and (2) its distance to the wall. We corroborate our experimental findings by a theoretical model which considers both the proximity and the particle interaction to a wall of different hydrophobicity in the hydrodynamic forces.
Study on 3D Reconstruction of Defocus Blur Light Spots based on AI-enabled Virtual - Wireless Communications
Authors: Shi Yun , Zhu Yan-yan 
Published: April 2021

Abstract
The application of artificial intelligence and machine learning technology in the field of wireless communication has received great attention. The success of artificial intelligence in speech understanding, image recognition, natural language processing and other fields shows its great potential to solve the problem of difficult modeling. Aiming at the problem of 3D reconstruction of defocused blur spots, a method based on adaptive defocus blur radius estimation and double hidden layer BP neural network is proposed. This method first uses an adaptive segmentation algorithm to extract the approximate elliptical spot in the defocused blurred image, and then uses the gradient amplitude distribution to extract the defocused blurred area, thereby calculating the blur radius. Then, using the network to adaptively learn the geometric structure relationship between the target 3D position, the target image point position and the defocus blur radius, it is established that the center pixel coordinates of the light spot and the corresponding defocus blur radius are used as input, and the 3D coordinates of the target are used as input. Output, the two hidden layers in the middle have established a neural network for the 3D reconstruction of the defocused blur spot. The experimental results show that the double hidden layer BP network model proposed in this paper can realize the 3D reconstruction of the blurred spot after training, and the method proposed in this paper has higher 3D reconstruction accuracy than without considering the defocus blur effect.
Inter-center comparison of good-manufacturing-practices compliant stromal vascular fraction and proposal for release acceptance criteria: a review of 364 productions
Authors: François Pauline , Rusconi Giulio , Arnaud Laurent , Mariotta Luca , Giraudo Laurent , Minonzio Greta , Veran Julie , Bertrand Baptiste , Dumoulin Chloé , Grimaud Fanny , Lyonnet Luc , Casanova Dominique , Giverne Camille , Cras Audrey , Magalon Guy , Dignat-George Françoise , Sabatier Florence , Magalon Jeremy , Soldati Gianni 
Published: April 2021

Abstract
Background : Even though the manufacturing processes of the stromal vascular fraction for clinical use are performed in compliance with the good-manufacturing practices applying to advanced therapy medicinal products, specifications related to stromal vascular fraction quality remain poorly defined. We analyzed stromal vascular fraction clinical batches from two independent good-manufacturing practices-compliant manufacturing facilities, the Swiss Stem Cell Foundation (SSCF) and Marseille University Hospitals (AP-HM), with the goal of defining appropriate and harmonized release acceptance criteria.Methods: This retrospective analysis reviewed the biological characteristics of 364 batches of clinical-grade stromal vascular fraction. Collected data included cell viability, recovery yield, cell subset distribution of stromal vascular fraction and microbiological quality. Results: stromal vascular fraction from SSCF cohort demonstrated a higher viability (89.33 % ± 4.30 %) and recovery yield (2.54 × 105 ± 1.22 × 105 viable nucleated cells (VNCs) per mL of adipose tissue) than stromal vascular fraction from AP-HM (84.20% ± 5.96% and 2.25 × 105 ± 1.11 × 105 VNCs). AP-HM batches were significantly less contaminated (95.71 % of sterile batches versus 74.15 %) The cell subset distribution was significantly different (higher proportion of endothelial cells and lower proportion of leukocytes and pericytes in SSCF cohort). Conclusions: Both centers agreed that a good-manufacturing practices-compliant stromal vascular fraction batch should exert a viability equal or superior to 80 %; a minimum recovery yield of 1.50 × 105 VNCs per mL of adipose tissue; a proportion of adipose-derived stromal cells at least equal to 20 %; and a proportion of leukocytes under 50 %. In addition, a multiparameter gating strategy for stromal vascular fraction analyze is proposed.
A Clinical Shoulder Proprioception Test Shows Good Reliability, and Decreased Shoulder Joint Position Sense Due to Local Fatigue in Handballers: A Repeated Measures Design
Authors: Sutton Peter , Ohlsson Marie , Röijezon Ulrik 
Published: April 2021

Abstract
Background: Assessment of shoulder proprioception outside the laboratory in the absence of specialized equipment remains a challenge with field-based tests often lacking good reliability, validity and feasibility. This study aimed to enhance the knowledge base surrounding the assessment of shoulder proprioception and investigated the effect of fatigue on shoulder joint position sense (JPS) amongst amateur male handball players.Method: 27 healthy recreationally active participants and 13 amateur male handball players undertook two sessions of active JPS tests using laser pen technology and a calibrated 2-dimensional target to assess test-retest reliability. The active JPS test was then utilized on the subgroup of handball players who were subjected to five bouts of a repeated throwing task in order to investigate the effect of local fatigue on shoulder JPS. Results: The intraclass correlation coefficient for the active JPS test was 0.78 (95% CI = [0.57; 0.89]). Standard error of measurement between trials was 0.70° (range 0.57°-0.90°). For the throwing task, repeated measures analysis of variance revealed a significant interaction for arm x bout (F5=2.74, p=0.028) and a significant effect for arm (F1=5.85, p=0.034). Post hoc analysis showed a significant difference between throwing arm and non-throwing arm after throwing bout one (p=0.036), three (p=0.026) and four (p=0.041). Conclusion: Assessment of the active JPS test showed acceptable reliability and measurement error. Repeated throwing to fatigue decreased shoulder JPS in amateur male handball players which indicate validity of the test to identify reduced proprioception.
Appendiceal Tumors in Adults, Findings in 1870 Specimens
Authors: gordo Sandra Lopez , Frago R , Galvez A , Kreisler E , Biondo S. 
Published: April 2021

Abstract
PurposeThe appendiceal disease is a frequent entity, with a non-negligible number of malignancies. There is an association of synchronous appendiceal tumors with other malignancies, therefore a routine appendectomy could be considered. The aim of our study is to analyze the number of cases of non-inflammatory appendiceal disease with unusual histopathological findings of appendix samples. Secondary aims are to analyze the recurrence and mortality of appendicular tumors.Methods A retrospective cohort study of all the appendectomy specimens in a period of time of 5 years was performed.ResultsA total of 1870 appendectomies were included. Non-inflammatory disease was found in 127 cases (5.5%) and malignant neoplasm in 33 patients (1.76%). Mucinous Cystoadenoma was the most common benign tumor, representing 33.3 % of total cases. The most common appendiceal neoplasm was adenocarcinoma (11 patients) and neuroendocrine tumors (22 patients). Acute appendicitis was the most frequent surgical indications in those patients. In the adenocarcinoma group, older patients were more frequent (p=0.003), as was the presence of abscess (p=0.016). From the appendiceal neoplasm, 30% (10 patients) had a synchronous colorectal or gynecological cancer. Five-year survival for adenocarcinoma and neuroendocrine tumors was 53.6 % (95% CI 51-94) and 45.5 % (95% CI 26-72) (p=0,373).ConclusionsHistopathological assessment of the appendix will allow early diagnosis of many unusual findings of the appendix. We recommend to considered routine appendectomy due to the high incidence of appendiceal tumors and a non-negligible number of synchronous colorectal and gynecological cancers.
Group Maintenance Strategy of CNC Machine Tools Considering Three Kinds of Maintenance Dependence and Its Optimization
Authors: Sun Junkai , Sun Zezhou , Chen Chuanhai , Yan Chuliang , Jin Tongtong , Zhong Yuan 
Published: April 2021

Abstract
Unreasonable maintenance strategies will increase maintenance costs and reduce the efficiency of CNC (Computer Numerical Control) machine tools. Therefore, not only the degradation state of components but also their coupling effect should be considered to obtain a scientific and reasonable system-level maintenance strategy because of the dependence among different components of CNC machine tools. This study proposes a group maintenance strategy of CNC machine tools considering economic, structural, and stochastic dependence among critical components and optimizes the group maintenance strategy. The model of group maintenance of CNC machine tools is composed of four sub-models: sub-model of component degression, sub-model of group maintenance decisions, sub-model of imperfect maintenance, sub-model of maintenance cost. Utilizing the model of group maintenance of CNC machine tools, the time, objective, and measures of maintenance can be decided according to the degression state and failures. And then, the cost of each maintenance can be calculated. In the group maintenance model, economic dependence and structural dependence among components are quantified by cost, while stochastic dependence is quantified by failure intensity. On that basis, the Monte Carlo method is used to simulate the machine tool operation process and the long-term maintenance cost of CNC machine tools corresponding to a certain failure intensity threshold is calculated. Finally, Genetic Algorithm is used to optimize the failure intensity thresholds of preventive and group maintenance. A numerical example verifies the effectiveness of the proposed optimization method for group maintenance strategy.
A cross-sectional overview of SARS-CoV-2 genome variations in Turkey
Authors: Ergünay Koray , Kaya Mücahit , Serdar Muhittin , Akyön Yakut , Yılmaz Engin 
Published: April 2021

Abstract
Introduction: Nearly a year following the emergence of COVID-19 in Turkey, we analysed SARS-CoV-2 sequences to identify virus genome variations and their probable impact on epidemiology, immune response and clinical disease.Materials and Methods: Complete genomes and partial Spike (S) region sequences originating from Turkey were accessed from the Global Initiative on Sharing Avian Influenza Data (GISAID) database. The genomes were aligned and analysed for variations and recombinations using appropriate softwares. Results: 410 complete genomes and 206 S region sequences were included. Overall, 1200 distinct nucleotide variations were noted. Mean variation count was noted as 14.2 per genome and increased significantly during the course of the pandemic. The most frequent variations were identified as A23403G (D614G; 92.9,%), C14408T (P323L, 92.2%), C3037T (89.8%), C241T (83.4%) and GGG28881AAC (RG203KR, 62.6%). The A23403G mutation was the most frequent variation in the S region sequences (99%). Majority of the genomes (%98.3) belonged in the SARS-CoV-2 haplogroup A. No evidence for recombination was identified in genomes representing sub-haplogroup branches. The variants of concern B.1.1.7, B.1.351 and P.1 were detected, with a statistically-significant time-associated increase in the variant B.1.1.7 prevalence. Discussion: We described prominant SARS-CoV-2 variantions as well as comparisons with global virus diversity. Continuing a molecular surveillence in agreement with local disease epidemiology appears to be crucial, as vaccination and mitigation efforts are ongoing.
Expression of a Disintegrin and Metalloprotease 10 Gene Polymorphisms in a Cohort of Egyptian Patients with Hepatocellular Carcinoma
Authors: Mohamed Amal A. , Abo-Elmatty Dina M. , ezzat Omnia I , Youssef Ahmed A. , Mehanna Eman T. , Hassnine Alshymaa A. , Mesbah Noha M. , Saed Salma , Sayed Eman Al , Hamada Mahmoud , Khamis Afaf F. , Elshentenawy Ayman , Abd El-Raouf Marwa S.E. , Abd-Elsalam Sherief , Elsayed Amr M. 
Published: April 2021

Background:
Hepatocellular carcinoma (HCC) is the third leading cause of cancer mortality.
There is a need for a marker associated with HCC progression. A disintegrin and metalloprotease
(ADAMs) family proteins have a lot of functions in cell adhesion, migration, proteolysis and
signaling.

Aims:
The aim of the study was to investigate the relation between ADAM 10 gene single nucleotide
polymorphisms (SNPs) and HCC progression.

Methods:
This study involved 201 cases divided: Group I (67 HCC patients), Group II (67 cirrhotic
patients), Group III (67 control). Each group was subjected to laboratory investigations: (CBC,
blood sugar, kidney and liver function, viral markers, alpha fetoprotein), imaging: (abdominal ultrasonography,
and triphasic C.T) and ADAM 10 gene polymorphism (rs 653765, rs 383902) detection
by real – time PCR.

Results:
There was a statistically significant difference in the frequency and genotyping of
ADAM10 SNPs in HCC patients in comparison to cirrhotic and control groups [the frequency of rs
653765 genotypes (p=0.015) and model (p=0.013)]; likewise, the frequency of rs 383902 genotypes
(p<0.001) and model (p=0.001)). Also, there was a statistically significant association between
different SNP rs 383902 genotype with CLIP stages (p=0.02) and with VISUM stages
(p=0.035).

Conclusion:
ADAM-10 is overexpressed in HCC patients and involved in HCC progress. These
findings highlight that ADAM inhibitor may be used as therapeutic goals in the treatment of HCC.
Antiglycolytic Activities of Strobilanthes crispus Active Fraction and its Bioactive Components on Triple-Negative Breast Cancer Cells In Vitro
Authors: Muhammad Siti N.H. , Yaacob Nik S. , Safuwan Nur A.M. , Fauzi Agustine N. 
Published: April 2021

Background:Survival and progression of cancer cells are highly dependent on aerobic glycolysis. Strobilanthes crispus has been shown to have promising anticancer effects on breast cancer cells. The involvement of the glycolysis pathway in producing these effects is unconfirmed, thus further investigation is required to elucidate this phenomenon.Objective:This study aims to determine the effect of S. crispus active fraction (F3) and its bioactive components on glycolysis in triple-negative breast cancer cells (MDA-MB-231).Methods:This study utilizes F3, lutein, β-sitosterol, and stigmasterol to be administered in MDA-MB-231 cells for measurement of antiglycolytic activities through cell poliferation, glucose uptake, and lactate concentration assays. Cell proliferation was assessed by MTT assay of MDA-MB-231 cells after treatment with F3 and its bioactive components lutein, β-sitosterol, and stigmasterol. The IC50 value in each compound was determined by MTT assay to be used in subsequent assays. The determination of glucose uptake activity and lactate concentration were quantified using fluorescence spectrophotometry.Results:Antiproliferative activities were observed for F3 and its bioactive components, with IC50 values of 100 μg/mL (F3), 20 μM (lutein), 25 μM (β-sitosterol), and 90 μM (stigmasterol) in MDA-MB-231 cells at 48 h. The percentage of glucose uptake and lactate concentration in MDA-MB-231 cells treated with F3, lutein, or β sitosterol were significantly lower than those observed in the untreated cells in a time-dependent manner. However, treatment with stigmasterol decreased the concentration of lactate without affecting the glucose uptake in MDA-MB-231 cells.Conclusion:The antiglycolytic activities of F3 on MDA-MB-231 cells are attributed to its bioactive components.