bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Temperature and Material Variation on Mechanical Properties of Parts Fabricated with Fused Deposition Modelling (FDM) Additive Manufacturing
Authors: Sehhat M. Hossein , Mahdianikhotbesara Ali , Yadegari Farzad 
Published: February 2022

Abstract
Additive Manufacturing (AM) can be deployed for space exploration purposes, such as fabricating different components of robots’ bodies. The produced AM parts should have desirable thermal and mechanical properties to withstand the extreme environmental conditions, including the severe temperature variations on moon or other planets which cause changes in parts’ strengths and may fail their operation. Therefore, the correlation between operational temperature and mechanical properties of AM fabricated parts should be evaluated. In this study, three different types of polymers, including polylactic acid (PLA), polyethylene terephthalate glycol (PETG), and acrylonitrile butadiene styrene (ABS), were used in Fused Deposition Modeling (FDM) process to fabricate several parts. The mechanical properties of produced parts were then investigated at various temperatures to generate knowledge on the correlation between temperature and type of material. When varying the operational temperature during tensile tests, the material’s glass transition temperature was found influential in determining the type of material failure. Among the materials used, ABS showed the best mechanical properties at all temperatures due to its highest glass transition temperatures. The results of statistical analysis indicated the temperature as the significant factor on tensile strength while the type of material was not a significant factor.
Selenium-integrated multi-resonance induced TADF emitters boost EQE of electroluminescence to 40.5% with ultra-low efficiency roll-off
Authors: Hu Yu Xuan , Miao Jingsheng , Hua Tao , Huang Zhongyan , Qi Yanyu , Zou Yang , Qiu Yuntao , Xia Han , Liu He , Cao Xiaosong , Yang Chuluo 
Published: February 2022

Abstract
Multi-resonance induced thermally activated delayed fluorescent (MR-TADF) materials have shown great potential in high-efficiency and narrowband organic light-emitting diodes (OLEDs). However, obvious efficiency roll-off attributed to slow reverse intersystem crossing (RISC) process hinders MR-TADF materials from practical applications. Here, we report a heavy-atom incorporating emitter, namely BNSeSe, based on selenium-integrated boron-nitrogen skeleton, showing 100% photoluminescence quantum yield and the highest rate of RISC (kRISC) of 2.0 × 106 s-1 among MR-TADF molecules. The corresponding OLEDs exhibit excellent external quantum efficiency (EQE) up to 36.8% and ultra-low roll-off character at high brightness (with very small roll-off values of 2.8% and 14.9% at 1000 cd m-2 and 10000 cd m-2, respectively). Furthermore, the outstanding capability to harvest triplet excitons also enables BNSeSe to be a superior sensitizer for hyperfluorescence (HF) device, which shows state-of-the-art performance with record high EQE of 40.5%, power efficiency (PE) beyond 200 lm W-1 and luminance close to 200000 cd m-2.
A Proficient Technique for Recognizing the Online Digital Signature in Project Registration System (PRS)
Authors: Chakravarthi R. Ravi , Palagan C. Anna , Dharamshi Ravindra Ratilal , Vadivelan N , Taware Shrikant 
Published: February 2022

Abstract
In recent education system, project submission is crucial for college students to complete their respective studies. The understudies needed to propose their undertaking before finishing the pre-last year. One of the critical assessment forms like course Project Registration System (PRS) helps the students and their education board to enhance the knowledge and skill level required for competitive world. During project submission, authentication is important to prevent the unauthorized submission of proposal and contrast the signature utilizing classification techniques such as Kernel Based Artificial Neural Network (K-ANN), Kernel Based K-Nearest Neighbor (K-KNN), Kernel Based Self Organizing Map (K-SOM) and Kernel based Support Vector Machine (K-SVM). The data collection based on online digital signature with various students and the proposed classification techniques gives better performance and accuracy compared with other techniques.
Chlorpheniramine maleate exerts an anti-keloid activity in vivo and in vitro
Authors: Zheng Min , Qian Huan , Wang Chen , Zhang Mengwen , Wang Zhefang , Fangjie Shao 
Published: February 2022

Abstract
Background: Keloid can cause numerous adverse consequences, severely affecting patients' physical and mental health. The mechanisms of keloid scarring remain unclear, as revealed by the inability of patients to satisfactorily manage this benign neoplastic disease. Studies suggest that H1 blockers, such as Tranilasts, inhibit keloid overgrowth and hyperplasia. Chlorpheniramine maleate (CPM) has been extensively employed as an H1 receptor blocker, whereas its treatment effects on keloid formation are unknown. The present study aimed to evaluate the inhibiting effect of CPM on keloid, which might provide a novel strategy for keloid treatment. Methods: In vitro, Cell Counting Kit-8 (CCK-8), apoptosis, cell cycle and migration assays of keloid fibroblasts (KFs) were performed to evaluate the effects of CPM on inhibiting the proliferation and apoptosis of dermal fibroblasts (DFs) and keloid fibroblasts (KFs), and the potential mechanism of action was analyzed by qPCR. In vivo, nude mice keloid scar model was built to assess the therapeutic effect of CPM and explore its possible mechanism.Results: CCK-8 and apoptosis experiments revealed that the concentration of 0.15 mM CPM could inhibit keloid fibroblasts proliferation and promote apoptosis with minimal impact on DFs. Cell cycle and migration experiments confirmed that a 0.15 mM CPM could inhibit the proliferation and migration of keloid fibroblasts. Moreover, qPCR revealed that CPM down-regulated the expressions of TGF-β, STAT3, JAK1, and Ki-67 genes in KFs. Together with in vitro experiments, CPM could inhibit keloid scar formation and down-regulate the expressions of TGF-β, STAT3, JAK1, and Ki-67 genes in the tissue.Conclusion: Chlorpheniramine maleate could be an ideal localized therapeutic strategy in keloid treatment.
Changes In And Asymmetry of The Proteome In The Human Foetal Frontal Lobe During Early Development
Authors: Liu Shuwei , Zhao Xiaotian , Liang Wenjia , Wang Wenjun , Liu Hailan , Zhang Xiaolei , Liu Chengxin , Zhu Caiting , Cui Baoxia , Tang Yuchun 
Published: February 2022

Abstract
Hemispheric asymmetry is an important feature of the human brain that develops before birth. The inherent asymmetry of the brain is of great significance for cognition, language and other functions in humans. An understanding of normal brain and asymmetry development in the earliest period will further our understanding of how the different hemispheres prioritize specific functions. However, the core genetic mechanism is still unknown. Here, we analysed the developmental changes in and asymmetry of the proteome in the bilateral frontal lobes of three foetal specimens in the late first trimester of pregnancy. We found that during this period, the difference in expression between gestational weeks (GWs) increased, and the difference in asymmetric expression decreased. The patterns of protein expression changes in the bilateral frontal lobes were different. Our results show that brain asymmetry can be observed in the early stage of foetal development. Human brain asymmetry is the result of differential gene expression before birth in the early foetal stage and develops before functional asymmetry. Researchers can use these findings to further investigate the mechanisms of brain asymmetry. We propose that both sides of the brain should be analysed separately in future multiomics research and human brain mapping studies.
4-Ethylbenzaldehyde from the volatilome of Annona muricata against Meloidogyne incognita
Authors: Campos Vicente , de Paula Letícia , Terra Willian , Barros Aline , Pacheco Paulo , Silva Maysa Da , Pedroso Marcio 
Published: February 2022

Abstract
In the present study, we demonstrated the potent nematicidal activity of volatile organic compounds (VOCs) released by the Annona muricata leaf macerate. In addition, the toxicity of the compound 4-ethylbenzaldehyde was reported in the various phases of the Meloidogyne incognita life cycle. By biofumigation, even the lowest concentration of soursop leaf macerate tested (1.0%) caused a reduction in nematode hatching, infectivity and reproduction. Analysis of the soursop volatilome performed by gas chromatography coupled with mass spectrometry revealed 41 compounds, of which three, were selected for studies against the nematode. Only 4-ethylbenzaldehyde showed nematicidal activity in vitro, against M. incognita J2 and hatching. As a soil fumigant, 4-ethylbenzaldehyde at dose of 1 mL per litre of substrate had an effect similar (P < 0.05) to that of the commercial fumigant Dazomet (250 µg mL−1). In addition, this molecule, when applied directly to M. incognita-infested soil, significantly reduced nematode infectivity and reproduction compared to the negative control. Therefore, 4-ethylbenzaldehyde shows potential for the development of a new commercial nematicide with reduced toxicity to the environment and high efficacy against plant parasitic nematodes. However, field assays are necessary to confirm these results, which were obtained under controlled conditions.
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
Authors: Wang Xiaoqi , Cheng Yingjie , Yang Yaning , Li Fei , Peng Shaoliang 
Published: February 2022

Abstract
Self-supervised representation learning (SSL) on biomedical networks provides new opportunities for drug discovery that lacks available biology or clinic phenotype. However, how to effectively combine multiple SSL models is still challenging and has been rarely explored. Therefore, we propose multi-task joint strategies of self-supervised representation learning on biomedical networks for drug discovery, named MSSL2drug. We design six basic SSL tasks inspired by various modality features including structures, semantics, and attributes in heterogeneous biomedical networks.
In addition, fifteen combinations of multiple tasks are evaluated by a graph attention-based adversarial multi-task learning framework in two drug discovery scenarios. The results suggest two important findings. (1) Combinations of multimodal tasks achieve the best performance compared to other multi-task joint strategies. (2) The joint training of local and global SSL tasks yields higher performance than random task combinations. Therefore, we conjecture that the multimodal and local-global combination strategies can be treated as a guideline of multi-task SSL for drug discovery.
Soft-Tissue Tumor Reporting and Data System (St-Rads): Mri Reporting Guideline with Multi-Institutional Validation Study of Extremity Soft Tissue Tumors
Authors: Chhabra Avneesh , Ashikyan Oganes , Ratakonda Raghu , Bajaj Gitanjali , Thakur Uma , Pezeshk Parham , Xi Yin , Zaid Marwa , Callan Alexandra , Murphy William , Kumar Rajendra , Amini Behrang 
Published: February 2022

Abstract
BackgroundTo our knowledge, no current guideline exists in outlining follow-up or interventional strategies in musculoskeletal soft tissue tumor management. To develop and validate soft-tissue tumor reporting and data system (ST-RADS) with the hypothesis that the proposed guideline reliably and accurately assists in separating benign from malignant musculoskeletal soft tissue tumors.Methods This is a multi-institutional cross-sectional study of soft-tissue masses. An expert consensus agreement was reached for ST-RADS categories using the terminology from WHO classification. Adipocytic tumors, T2-hyperintense and T2-hypointense masses of extremities with a wide spectrum of histologies were assessed. MRI categories were: STRADS 0 - incomplete imaging, I – no lesion identified, II - definitely benign, III - probably benign, IV - indeterminate or suspicious for malignancy, V- highly suggestive of malignancy, and VI - known biopsy-proven malignancy or recurrence. Eight readers evaluated cases and ICC and AUC were calculated. Results 200 soft tissue masses were tested. There was good inter-reader agreement with ICC= 0.72 [95% CI=0.64-0.79] and 0.69 [95% CI=0.59-0.70] for adipocytic and T2-hyperintense, and fair, 0.48 [95% CI=0.35-0.62] for T2- hypointense masses. The sensitivity and specificity for detection of malignancy were 96% and 63%, 93% and 71%, 64% and 84% for adipocytic, T2-hyperintense, and T2-hypointense masses, respectively. The AUC was 0.79-0.89.Conclusion ST-RADS guideline using standardized terminology stratifies musculoskeletal tumors into benign and malignant categories and provides management strategy. This MRI-based guideline is meant to be a "dynamic" document that can be further refined and updated in response to future user feedback and as new scientific data becomes available.
Nononcological Advanced Chronic Disease and Palliative Needs: Survival Analysis
Authors: Morán-Tiesta Cristina , Sanz-Ventureira Lara , Jiménez-Domene Paula , Aira-Ferrer Pilar , Cano-Gonzalez Jose Manuel , Martínez-Cruz María Belén , Sanz-Peces Eva María , Diaz-Sierra Genoveva , Sedano-SanLlorente Begoña , Sánchez-Isac María , Gil-Moreno Juan Carlos , Cura-González Isabel Del , De Miguel-Sánchez Cristina , Group ECANO 
Published: February 2022

Abstract
Background: Professionals who care for patients with advanced chronic nononcological disease need accurate prognostic tools. There are validated prognostic indices for nononcological pathology in the fields of internal medicine (PALIAR and PROFUND indices) and palliative care (PPI indices, PaP score, ECOG, PPS, KI). The objective of this study is to describe survival and analyzsed factors associated with mortality in advanced chronic nononcological disease patients in palliative care services in the Community of Madrid.Methods: Multilongitudinal observational study of a prospective cohort with a 6-month follow-up. Sociodemographic, clinical, analytical, service use, functionality, and prognostic indices were measured. Survival was analysed at 3 and 6 weeks and at 1, 2, 3, 4, 5, and 6 months through Kaplan–Meier curves. After the bivariate analysis, a Cox proportional-hazards multivariate regression analysis was performed. Results: 217 patients were included. The mean age (SD) was 78.8 (12.6), and 47.5% were women. Some 129 patients died. Mean survival (SD) at 6 months was 146.12 (130.14) days, median (IQR) survival 111.5 (17.50-254.50). All prognostic indices (PALIAR p<0.001, PROFUND p<0.005, PPI p<0.016, PaP Score p<0.001, ECOG p<0.002, PPS p<0.018, and KI p<0.016) predicted mortality at 6 months. The variables that explained survival at less than 3 months were PPS (HR (CI) 0.96 (0.95-0.98), p<0.000), leukocytes (HR (CI) 1.06 (1.02-1.10), p<0.000), delirium at the last admission (HR (CI) 1.79 (1.02-3.09) p<0.030), and ≥4 hospitalization in the last year (HR (CI) 1.82 (1.16-2.88) p<0.010). The variables that explained 6-month survival were PPS (HR (CI) 0.96 (0.94-0.97), p<0.000), leukocytes (HR (CI) 1.06 (1.03-1.09), p<0.000), and haemoglobin (HR (CI) 0.88 (0.82-0.97) p<0.005).Conclusions: Clinical and resource use variables were predictors of mortality in survivals shorter than 3 months, but not in survivals longer than 3 months.
Does Environmental Pollution Affect Resident Well-Being?
Authors: Leng Pinyi , Zhu Yifan , Zhang Haoyuan , Zhou Qian 
Published: February 2022

Abstract
The Ordered Logit regression model was constructed based on the data from Chinese General Social Survey and China Statistical Yearbook 2017. The empirical analysis shows that air pollution positively affects resident well-being through economic growth, water pollution and solid waste pollution negatively affects resident well-being, and environmental pollution can reduce resident well-being by damaging their health. The impact of environmental pollution on resident well-being is heterogeneous.The low-income people have lower requirements for environmental quality, while the high-income people are more affected, and the eastern region is more affected in the three regions. In addition, residents' subjective environmental pollution perception will negatively affect their well-being. In order to improve the resident well-being, it is necessary to strengthen the management of the environment and improve the quality of the environment so as to realize the increase of resident well-being and economic development.
Algorithm for Automatic Analysis of Smooth Pursuit Eye Movements Using a Combination of Video-oculography and Deep Learning–Based Object Detection
Authors: Hirota Masakazu , Kato Kanako , Fukushima Megumi , Ikeda Yuka , Hayashi Takao , Mizota Atsushi 
Published: February 2022

Abstract
In the evaluation of smooth pursuit eye movements (SPEMs), recording the stimulus onset time is mandatory. In the laboratory, the stimulus onset time is recorded by electrical signal or programming, and video-oculography (VOG) and the visual stimulus are synchronized. Nevertheless, because the examiner must manually move the fixation target, recording the stimulus onset time is challenging in daily clinical practice. Thus, this study aimed to develop an algorithm for evaluating SPEMs while testing the nine-direction eye movements without recording the stimulus onset time using VOG and deep learning–based object detection (single-shot multibox detector), which can predict the location and types of objects in a single image. The algorithm of peak fitting–based detection correctly classified the directions of target orientation and calculated the latencies and gains within the normal range while testing the nine-direction eye movements in healthy individuals. These findings suggest that the algorithm of peak fitting–based detection has sufficient accuracy for the automatic evaluation of SPEM in clinical settings.
Biochemical determinants of thrombin generation in a general population with arterial and venous disease background
Authors: Paridon Pauline C.S. van , Panova-Noeva Marina , Oerle Rene van , Schulz Andreas , Prochaska Jürgen H. , Arnold Natalie , Schmidtmann Irene , Beutel Manfred , Pfeiffer Norbert , Münzel Thomas , Lackner Karl J. , Cate Hugo ten , Wild Philipp S. , Spronk Henri M.H. 
Published: February 2022

Abstract
Background: The current study aims to identify the biochemical determinants of plasma thrombin generation in a large population-based study by comparing individuals with a history of arterial or venous thrombosis to cardiovascular healthy individuals. Methods: This study comprised 502 individuals with a history of arterial disease, 195 with history of venous thrombosis and 1402 cardiovascular healthy individuals (reference sample) from the population-based Gutenberg Health Study (GHS). Calibrated Automated Thrombography was assessed and coagulation factors were measured by means of BCS XP Systems. To assess the biochemical determinants of TG variables, a multiple linear regression analysis, adjusted for age, sex and antithrombotic therapy, was conducted. Results: The lag time was mainly positively associated with the natural coagulant and anti-coagulant factors in the reference sample, i.e. higher factors result in a longer lag time. The same determinants were negative for individuals with a history of arterial or venous thrombosis, with a 10 times higher effect size. ETP was predominantly positively determined by factor II, VIII, X and IX in all subsamples. However, the effect sizes of the reported associations were 4 times higher for the arterial and venous subsamples in comparison to the reference sample.Conclusion: This large-scale analysis demonstrated a stronger effect of the coagulant and natural anti-coagulant factors on the thrombin potential in individuals with a history of arterial or venous thrombosis as compared to healthy individuals, which implicates sustained alterations in the plasma coagulome in subjects with a history of thrombotic vascular disease, despite intake of antithrombotic therapy.
Association of EPHA3 mutations with tumor mutational burden and efficacy of immune checkpoint inhibitors in cancer patients
Authors: Han Fujun , Zhang Siqi , Zheng Mengge , Nie Deheng , Tian Huimin , Liu Wenjia , Pei Fengli , Liu Wenhui 
Published: February 2022

Abstract
Background: The erythropoietin-producing human hepatocellular receptor A3 (EPHA3), which was identified as a tumor antigen targeted by a lytic T-cell response in melanoma patients, is relatively tumor specific. Moreover, EPHA3 is frequently mutated in human cancers, and the association of EPHA3 mutations with immunotherapy efficacy in cancer patients has not been reported to date. Methods: We conducted a retrospective analysis of 1756 patients with 11 cancer types after immune checkpoint inhibitor (ICI) monotherapy identified from The Cancer Genome Atlas (TCGA) data portal in April 2021. The associations between EPHA3 mutations and tumor mutational burden (TMB), durable clinical benefit (DCB), and overall survival (OS) was assessed. Results: Among all 1756 patients, the mutational frequency of EPHA3 was 6.7%. The TMB of patients with EPHA3 mutations was substantially higher than that in patients without the mutations (odds ratio [OR], 5.35, 95% confidence interval [CI], 3.58–8.04; P < .001). EPHA3 mutations were significantly associated with better DCB (median: 52.3% vs 32.8%; OR, 2.24; 95%CI, 1.15–4.41; P = .011) and OS (median: 40.0 vs 16.0 months; hazard ratio, 0.57; 95% CI, 0.42–0.77; P < .001) compared with EPHA3 wild-type. Multivariable and subgroup analyses showed that these associations were independent of all known covariates, including TMB. Conclusions: These findings indicate that EPHA3 mutations may be associated with higher TMB, better immune response, and better survival than EPHA3 wild-type. Despite the need for validation, cancer patients with EPHA3 mutations might be appropriate candidates for ICI monotherapy.
CFTR heterozygosity in severe airways disease with recurrent airway infections: a retrospective review
Authors: Priel Eldar , Adatia Adil , Kjarsgaard Melanie , Nair Parameswaran 
Published: February 2022

Abstract
Rationale: Patients with asthma who have neutrophilic bronchitis may have an underlying cause leading to increased susceptibility to airway infections. Methods: Retrospective review of patients with asthma who had a previous history of recurrent exacerbations that had been associated with airway or sinus infections referred to a tertiary asthma center between 2005-2020. Demographics, clinical features, and airway inflammation type determined by sputum cytometry were compared between CFTR carriers and non-carriers. Multiple linear regression was used to identify clinical predictors of CFTR carrier status. Response to nebulized hypertonic saline was assessed by comparing the number of infective exacerbations before and after its initiation. Results: 75 patients underwent CFTR mutation testing. Of these, 13 (17%) were CFTR carriers. The most common mutation was ∆F508. CFTR carriers were older (adjusted odds ratio 1.06 (CI 95% 1.01, 1.13)) and had more frequent flares requiring hospitalization (4.19 (1.34, 24.74)). Neutrophilic airway inflammation was the most common inflammatory subtype in CFTR carriers, though 8/13 also had eosinophilic bronchitis. Nebulized hypertonic saline was well tolerated by most and reduced the frequency of infective exacerbations.Conclusions: The prevalence of CFTR heterozygosity in this cohort with recurrent neutrophilic bronchitis is higher than in the general population. Respiratory disease in CFTR carriers is associated with older age and may cause significant morbidity. Airway neutrophilia is the most common inflammatory subtype, but >50% had eosinophilic bronchitis requiring treatment. Hypertonic saline appears to be well tolerated and effective in reducing the number of infective exacerbations.