bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variable selection in gender and age decision-making for traumatic spine and thoracic pathologies after various accidents: MARS
Authors: Gencer Kerem , Gencer Gülcan , Dumanlı Ahmet 
Published: January 2023

Abstract
Trauma is a condition that affects the body's structure and results from outside factors. After heart disease and cancer, it is the most common cause of death across all age categories. For a variety of causes, people are routinely exposed to traumatic vertebral, thoracic pathologies and rib fractures. Ribs can be harmed by simple falls, impacts, and blunt injuries as well as broken due to car accidents and falling from a height. Magnetic resonance imaging or computed tomography are used to diagnose these fractures. In this study, non-linear complex methods were used to categorize gender and age by utilizing thoracic pathologies, fractures or cracks in the body as a result of traffic accidents or falling from a height, which have the feature of being a case in forensic issues. Variables were selected to identify the most important data. MARS (Multivariate Adaptive Regression Spline) method of variable selection. Although autopsy should be utilized in these situations, complex regression methods is intended to have an impact on quick and accurate decision-making about events in order to speed up or direct the process in the field of forensic medicine. As a result, the effectiveness of the experts' subsequent predictions will be increased by the preliminary findings produced by real-world data and artificial intelligence algorithms or complex non-linear regression problems.
Influence of Sorting Measures on Similar Segment Grouping based Denoising Algorithms
Authors: Preethisree G. , Vivekanand V. , Mishra Deepak , Sethunadh R. 
Published: January 2023

Abstract
Denoising is a fundamental challenge in the field of digital image processing and computer vision. Many of the denoising algorithms operate on segments of images in which non-locally distributed similar segments are identified and grouped to form sub-images. The denoising algorithm is applied on these sub-images to recover the actual image. The basis of such denoising algorithm is the existence of non-local self similarity or redundancy of segments within the natural images. But choosing the similarity measures for segment segregation is challenging. An analysis of various sorting measures and its effect on the performance of the denoising algorithms is presented.
Dose selection for aztreonam-avibactam, including adjustments for renal impairment, for phase IIa and phase III evaluation
Authors: Das Shampa , Riccobene Todd , Carrothers Timothy J. , Wright James G. , MacPherson Merran , Cristinacce Andrew , McFadyen Lynn , Xie Rujia , Luckey Alison , Raber Susan 
Published: January 2023

Abstract
Purpose A series of iterative population pharmacokinetic (PK) modelling and probability of target attainment (PTA) analyses were undertaken to support dose optimization for aztreonam-avibactam, a combination antibiotic.
Methods Joint PTA analyses (primary target: 60% fT>8 mg/L for aztreonam, 50% fT>2.5 mg/L for avibactam) explored the impact of patient variability, and evaluated loading doses and extended infusions, and adjustments for patients with moderate (estimated creatinine clearance [CrCL] >30 to ≤50 mL/min) and severe renal impairment (>15 to ≤30 mL/min). Achievement of >90% joint PTA, and the impact of differential renal clearance, were considerations in dose selection.
Results Dose selection for phase I and phase IIa (Cohort 1) was based on PK models of avibactam in patients and of aztreonam in healthy volunteers with ‘patient-like’ assumptions. Simulations demonstrated that: 3-h and continuous infusions provide comparable PTA; with patient variability, avibactam dose is the main driver of joint PTA; loading doses support more rapid joint target attainment. Aztreonam/avibactam 500/137 mg 30-min loading dose and 1500/410 mg 3-h maintenance infusions q6h was selected for initial phase IIa evaluation in patients with complicated intra-abdominal infection. Later PTA analyses using expanded PK models supported an increased avibactam dose (500/167 mg loading; 1500/500 q6h maintenance) and were also used to select doses for renal impairment.
Conclusion Aztreonam-avibactam 3-h infusions administered q6h are necessary to optimize joint PTA. Aztreonam-avibactam 500/167 mg loading 30-min infusion followed by 1500/500 mg maintenance 3-h infusions q6h (for CrCL >50 mL/min) is undergoing phase III evaluation.
Clinical trial registration: NCT01689207 (September 21, 2012); NCT02655419 (January 14, 2016); NCT03329092 (November 1, 2017); NCT03580044 (July 9, 2018)
A novel design of industrial real-time CT system based on sparse-view reconstruction and deep-learning image enhancement
Authors: Fang Zheng , Wang Tingjun 
Published: January 2023

Abstract

Industrial CT is useful for defect detection, dimensional inspection and geometric analysis. While it does not meet the needs of industrial mass production, because of its time-consuming imaging procedure. This article proposes a novel stationary real-time CT system, which is able to refresh the CT reconstructed slices to the detector frame frequency. This structure avoids the movement of the X-ray sources and detectors. Projections from different angles can be acquired with the objects’ translation, making it easier to be integrated into production line. All the detectors are arranged along the conveyor, and observe the objects in different angle of view. With the translation of objects, their X-ray projections are obtained for CT reconstruction. To decrease the mechanical size and reduce the number of X-ray sources and detectors, the FBP reconstruction algorithm was combined with deep-learning image enhancement. Medical CT images were applied to train the deep-learning network for its quantity advantage in comparison with industrial ones. It is the first time to adopt this source-detector layout strategy. Data augmentation and regularization were used to elevate the generalization of the network. Time consumption of the CT imaging process was also calculated to prove its high efficiency.
Guadecitabine increases response to combined anti-CTLA-4 and anti-PD-1 treatment in mouse melanoma in vivo by controlling the responses of T-cells, myeloid derived suppressor cells and NK cells
Authors: Amaro Adriana , Reggiani Francesco , Fenoglio Daniela , Gangemi Rosaria , Tosi Anna , Parodi Alessia , Banelli Barbara , Rigo Valentina , Mastracci Luca , Grillo Federica , Cereghetti Alessandra , Tastanova Aizhan , Ghosh Adhideb , Sallustio Fabio , Emionite Laura , Daga Antonio , Altosole Tiziana , Filaci Gilberto , Rosato Antonio , Levesque Mitchell , Maio Michele , Pfeffer Ulrich , Croce Michela 
Published: January 2023

Abstract
Background: The combination of Programmed Cell Death 1 (PD-1) and Cytotoxic T-Lymphocyte Antigen 4 (CTLA-4) blockade has dramatically improved the overall survival rate for malignant melanoma. Immune checkpoint blockers (ICBs) limit the tumor’s immune escape yet only for approximately a third of all tumors and, in most cases, for a limited amount of time. Several approaches to overcome resistance to ICBs are being investigated among which the addition of epigenetic drugs that are expected to act on both immune and tumor cells. Guadecitabine, a dinucleotide prodrug of a decitabine linked via phosphodiester bond to a guanosine, showed promising results in the phase-1 clinical trial, NIBIT-M4 (NCT02608437).
Methods: We used the syngeneic B16F10 murine melanoma model to study the effects of immune checkpoint blocking antibodies against CTLA-4 and PD-1 in combination, with and without the addition of Guadecitabine. We comprehensively characterized the tumor’s and the host’s responses under different treatments by flow cytometry, multiplex immunofluorescence and methylation analysis.
Results: In combination with ICBs, Guadecitabine significantly reduced subcutaneous tumor growth as well as metastases formation compared to ICBs and Guadecitabine treatment. In particular, Guadecitabine greatly enhanced the efficacy of combined ICBs by increasing effector memory CD8+ T cells, inducing effector NK cells in the spleen and reducing tumor infiltrating regulatory T cells and myeloid derived suppressor cells (MDSC), in the tumor microenvironment (TME). Guadecitabine in association with ICBs increased serum levels of IFN-γ and IFN-γ-induced chemokines with anti-angiogenic activity. Guadecitabine led to a general DNA-demethylation, in particular of sites of intermediate methylation levels.
Conclusions: These results indicate Guadecitabine as a promising epigenetic drug to be added to ICBs therapy.
Study on the efficacy and mechanism of Jintiange Capsules in the tre atment of osteoarthritis in rats
Authors: Zhang Xue , Shi Ya-Jun , Zhang Xiao-Fei , Guo Dong-Yan , Zhai Bing-Tao , Cheng Jiang-Xue , Zhang En-Hu , Zou Jun-Bo , Yuan Pu-Wei 
Published: January 2023

Abstract
Background:To study the pharmacodynamic effect of Jintiange capsules (JTG) on collagenase-induced osteoarthritis (OA) in rats; Based on the chondrocytes model, to explore the mechanism of treating OA with JTG-containing serum.
Methods: 1. 60 Sprague-dawley (SD) rats were used to establish OA model by type II collagenase. Knee joint diameter, lower limb load and pain threshold were measured. Then ELISA detection, micro-CT scanning and crocus solid green staining were performed.
2. Chondrocytes were extracted from SD rats. The effect of JTG on the migration of chondrocytes induced by il-1β was evaluated by Scratch Test. Chondrocytes were divided into control group, model group and JTG Group. RNA sequencing, nucleic acid sequence analysis, KEGG pathway enrichment analysis and qRT-PCR were performed after administration.
Results:1. Micro CT and safranine fast green staining showed that the number of bone trabeculae in JTG group increased significantly, arranged neatly.
2. The containing serum of JTG significantly increased the scratch healing rate of chondrocytes. GO and KEGG showed that the above differential genes were mainly enriched in immune system processes and TNF signaling pathways. RT-qPCRresults indicated that the TNF pathway and immune system regulation related genes were key pathways and genes in the treatment of OA.
Conclusion: JTG effectively blocks the progression of articular cartilage through the TNF pathway and genes involved in immune system regulation.
Analysis and Modeling of Android Software Vulnerabilities: A Numerical Approach
Authors: Gencer Kerem , Başçiftçi Fatih 
Published: January 2023

Abstract

A software security vulnerability is a mistake or violation of the security policy that occurs during the creation or development of the software. A vulnerability discovery model is a structure enabling the prediction of software security vulnerabilities that might occur after the software is released. In a more general sense, modeling is the method that allows us to analyze a phenomenon in detail and make accurate predictions for the future. The model must be able to explain the target environment in the best way possible and make the best predictions possible. Recently, there have been many studies on the subject of modeling security vulnerabilities. Most of these studies are concerned with desktop operating systems and internet browsers. Although there are studies based on the most popular mobile operating system, Android, there has never been a study that investigates different statistical distributions to find the most suitable one. The most popular model for vulnerability prediction is the Alhazmi-Malaiya Logistic (AML) model. This model has been observed to achieve better performance than other models in modeling security vulnerabilities. The AML model is similar to a logistic distribution, which has a symmetrical structure. In this study, certain aspects of Android security vulnerabilities were investigated using some symmetric and asymmetric distributions that are close to the AML distribution. The data used in this study was obtained from the National Vulnerability Database (NVD) by filtering Android vulnerabilities from 2016 to 2018, a time interval in which monthly information was continuously available. Furthermore, with the 0 to 10 scoring data obtained from the Common Vulnerability Scoring System (CVSS), the average monthly impact values of vulnerabilities have also been modeled. Logistic, Weibull, Normal, Nakagami, Gamma, and Log-logistic distributions were used to model the average monthly impact values of vulnerabilities, and the Logistic, Weibull, Nakagami, Gamma, and Log-logistic distributions were used to model the monthly vulnerability count. From the goodness-of-fit tests, which are methods to establish how well sample data matches the expected distribution values, Kolmogorov-Smirnov, Anderson-Darling, and Cramer-von Mises tests were applied. Akaike and Bayesian Information Criteria and Log-likelihood were used to see how robust the models were. As a result, the average monthly impact value and the monthly vulnerability count were observed to be best modeled by the Logistic and Nakagami distributions, respectively. Vulnerability detection models help us forecast software vulnerabilities and enable the necessary precautions to be taken, such as planning the generation of a patch. With suitable distributions, it has been shown that Android vulnerabilities can be modeled and forecasts can be made.
Characterization and dressing effect of CMP diamond disc conditioner with ordered abrasive distribution
Authors: Zhaozhi Guo , Songhao Yang , Zhenhui Wen , Jingyu Li , Jun Cheng 
Published: January 2023

Abstract
With the advent of the 5G information age, the production and processing of computer chips has attracted people's attention. In order to adapt to the rapid development in the field of chip manufacturing, high requirements are placed on chemical mechanical planarization (CMP). Among them, the porous structure on the surface of the polishing pad is easily blocked and loses its performance during the use of the polishing pad. Therefore, the use of diamond disc conditioner to dress the polishing pad in the CMP process is an indispensable part. In this paper, a new method of measuring the dressing disc is proposed, after the wax block is melted, it solidifies on the surface of the dressing disc to obtain the protrusion height of the grains, this method has more advantages than measuring with an optical microscope because of the error caused by the diffuse reflection of the microscope. For diamond conditioners used in the experiments, the dressing trajectory of abrasive grains is simulated, which is the basis on choosing the experimental method, and the material removal rate model of the polishing pad is established. In addition, the diamond conditioners with orderly distributed abrasive grains are used to dress the polishing pad after polishing silicon wafer two hours, the discs can remove the blocking material on the surface of the polishing pad after dressing 30 minutes, the dressing effect and efficiency of the diamond disc with grain size of 100µm is more obvious. The surface roughness and the liquid contact angle of the polishing pad before and after dressing are measured, after a period of conditioning, they can be restored to a state similar to that of the new polishing pad.
Ulva and its components as potential stimulants in aquaculture feeds: chemosensory response of a valuable sea urchin species
Authors: Addis Pierantonio , Pasquini Viviana , Angioni Alberto , Malavasi Veronica , Solari Paolo 
Published: January 2023

Abstract
Ulva is close to becoming popular due to its suitability as potential feedstock production and for food items. However, there is a general lack of studies on the aversion or acceptability of this green alga by marine organisms, in particular on its role as a chemoattractant and/or phagostimulant activity. Here we tested the effect of Ulva and other biochemicals as potential chemostimulating compounds for a valuable sea urchin species Paracentrotus lividus, selected as model species for our tests. Sea urchins’ chemical sensitivity was estimated by the analysis of movements of spines, pedicellariae, tube feet, and individual locomotion, using an innovative bioassay. Our results showed that all forms of Ulva (fresh, defrosted, and fragmented) resulted in an effective stimulus, evoking in sea urchins strong responses with robust activation of spines and tube feet, where the defrosted one was the most stimulating. Among the amino acids tested, glycine, alanine, and glutamine produced a significant response, highlighting for the latter a concentration-response relationship. Sea urchins responded to glucose, not to fructose and sucrose. Spirulina resulted as the most effective stimulus, acting in a dose-dependent manner. These results first indicate the role of Ulva and its most representative compounds as chemostimulant for such herbivore species. From an applied point of view, the presence of potential Ulva's feed-related compounds, acting as chemoattractants (to reduce food searching time) and/or feeding stimulants (to stimulate ingestion), would improve the several applications of Ulva in the formulation of the feeds for sustainable aquaculture.
Research on return to work for colorectal cancer survivors: A bibliometric analysis
Authors: Hu Dan , Zhang Hua , Wang Lianlian , Liu Wenwen , Yang Xin , Li Juan 
Published: January 2023

Abstract
Purpose
Colorectal cancer survivors’ returning to work is a symbol of recovery as well as back to society. However, few studies have explored the study orientation for this domain. A bibliometric analysis of this field is urgently needed.
Methods
The database of Web of Science Core Collection was utilized to search publications. Characteristics of literature including publication years, countries, institutions, journals and authors were analyzed. VOSviewer and CiteSpace were utilized for data visualization. The data search and analysis were conducted on May 11, 2022.
Results
Totally, 125 articles were identified. The article number has grown gradually in the last twenty years. The League of European Research Universities and author De Boer Agem from the Netherlands contribute most in this field. The Journal of Supportive Care In Cancer issued the utmost articles, and the journal of Psycho Oncology outranked other journals with citations suggesting that it serves as the landmark journal. Outcomes, employment & financial burden, health & barriers and quality of life & rehabilitation are high-frequency keywords in co-occurrence analysis. Burst analysis revealed that experience, financial burden, risk factors, symptoms distress (fatigue), unemployment and physical activity studies were the emerging hot spots in the domain. The management of return to work after colorectal cancer is multidisciplinary.
Conclusions
The understanding of returning to work for colorectal cancer patients has improved increasingly over the two decades. The author De Boer Agem from the Netherlands and the Journal of Supportive Care In Cancer made the largest contribution to this domain. More attention should be paid to experience, financial burden, risk factors, symptoms of distress (fatigue), unemployment, and intervention studies. Multidisciplinary integration is the essence.
Agreement between cardiac output estimation with a wireless, wearable pulse decomposition analysis device and continuous thermodilution in post cardiac surgery intensive care unit patients
Authors: Khanna Ashish K. , Garcia Julio O , Saha Amit K , Harris Lynnette , Baruch Martin , Martin R. Shayn 
Published: January 2023

Abstract
Purpose
Pulse Decomposition Analysis (PDA) uses integration of the systolic area of a distally transmitted aortic pulse as well as an arterial stiffness estimate to compute cardiac output. We sought to assess agreement of cardiac output (CO) estimation between continuous pulmonary artery catheter (PAC) guided thermodilution (CO-CCO) and a wireless, wearable non-invasive technology that utilizes the Pulse Decomposition Analysis (CO-PDA) method in post-operative cardiac surgery patients.
Methods
Post processed CO-CCO measurements were compared with CO-PDA measurements in prospectively enrolled adult cardiac surgical intensive care unit patients. Both calibrated and uncalibrated CO-PDA values were compared for accuracy with CO-CCO via a Bland-Altman analysis considering repeated measurements and a concordance analysis with a 10% exclusion zone.
Results
259.7 hours of monitoring data from 41 patients matching 15583 data points was analyzed. Mean CO-CCO was 5.55 L/min, while mean values for the uncalibrated CO-PDA were 5.73 L/min (bias +- precision 0.79 ± 1.11 L/min; limits of agreement − 1.43 to 3.01 L/min) and for the calibrated CO-PDA were 5.60 L/min (bias +- precision 0.22 ± 1.03 L/min; limits of agreement − 1.86 to 2.26 L/min). The percentage errors were 37.5% (uncalibrated) and 35.0% (calibrated). CO-CCO correlation with CO-PDA was moderate (0.54 and 0.67, respectively) and concordance was 0.83.
Conclusion
Cardiac output measured with the CO-PDA agrees with the commonly used CO-CCO PAC continuous thermodilution method. These devices are not interchangeable when using a 30% error threshold though the CO-PDA offers a non-invasive, wireless solution to complement and extend hemodynamic monitoring within and outside the ICU.
Serum peptides as candidate biomarkers for relapsing polychondritis
Authors: Sato Toshiyuki , Sato Masaaki , Nagai Kouhei , Fukasawa Masahiko , Nagashima Yoshiaki , Uchida Teisuke , Tsutiya Atsuhiro , Omoteyama Kazuki , Arito Mitsumi , Takakuwa Yukiko , Ooka Seido , Suematsu Naoya , Kawahata Kimito , Yamano Yoshihisa , Kato Tomohiro , Kurokawa Manae S. 
Published: January 2023

AbstractBackground:For relapsing polychondritis (RP), no useful biomarkers have yet been identified. We analyzed serum peptide profiles to identify candidate biomarkers.Methods:Patients with RP or rheumatoid arthritis (RA) and healthy control (HC) subjects were divided into training set (RP, n=19; RA, n=21; HC, n=17) and testing set (RP, n=18; RA, n=21; HC, n=18). Seven patients demonstrating granulomatosis with polyangiitis (GPA) were used for validation. The ion intensity of serum peptides was comprehensively measured by matrix-assisted laser desorption/ionization time-of-flight/time-of-flight mass spectrometry.Results:One hundred sixty serum peptides were detected. In the RP group of the training set, 24, 8, and 7 peptides showed a ³1.2-fold difference in ion intensity in comparison to the HC, RA, and HC+RA (non-RP) groups, respectively (p<0.05). Based on a supervised multivariate analysis of the ion intensity of 160 peptides, we generated 3 models that completely discriminated the RP group from the HC, RA, and non-RP groups (RP/HC-160P model, RP/RA-160P model, and RP/nonRP-160P model; AUROC, 1.000). By selecting 11, 9, and 14 peptides, the RP group was also completely discriminated from the 3 groups (RP/HC-11P model, RP/RA-9P model, and RP/nonRP-14P model; AUROC, 1.000). We attempted to identify the peptides with a ³1.2-fold difference in ion intensity between the RP group and one of the 3 groups and the peptides comprising the RP/HC-11P, RP/RA-9P or RP/nonRP-14P models. Nineteen peptides were identified. Most were fragments of proteins associated with coagulation. To obtain biomarker models for RP which consists of a few peptides, we further generated 330 models, using all combinations of 3 or 4 peptides out of the 10 identified peptides of the RP/nonRP-14P model. Among them, 69 models provided ³65.0% sensitivity and specificity in the training set (AUROC, 0.789-0.823). In the testing set and the testing set with GPA group, 4 models consisting of 4 peptides (RP/nonRP-4P-2, -10, -11, and -38 models) provided ³70.0% sensitivity and specificity (AUROC, 0.779-0.815). Notably,the RP/nonRP-4P-2 model provided 83.3% sensitivity and 71.7% specificity in the testing set with GPA group (AUROC, 0.802).Conclusion:Serum peptide proﬁles provided useful candidate biomarkers for RP and may be implicated in the pathophysiology of RP.Trial registration:University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR), UMIN 000037212. Registered on 30 June 2019.