bluuebunny/crossref_metadata_2025_split huggingface dataset:
Porous Covalent Organic Polymer Coordinated Single Co Site Nanofibers for Efficient Oxygen Reduction in Acids
Authors: Yang Bo-Long , Han Qing , Han Linkai , Leng Yiming , O'Carroll Thomas , Yang Xiaoxuan , Wu Gang , Xiang Zhonghua 
Published: August 2022

Abstract
Nitrogen-coordinated single-cobalt-atom electrocatalysts, particularly ones derived from high-temperature pyrolysis of cobalt-based zeolitic imidazolate frameworks (ZIFs), have emerged as a new frontier in the design of oxygen reduction cathodes in proton exchange membrane fuel cells (PEMFCs) due to their enhanced durability and smaller Fenton effects related to the degradation of membranes and ionomers compared with emphasized iron-based electrocatalysts. However, pyrolysis techniques lead to obscure active-site configurations, undesirably defined porosity and morphology, and fewer exposed active sites. Herein, a highly stable cross-linked nanofiber electrode was directly prepared by electrospinning using a liquid processability cobalt-based covalent organic polymer (Co-COP) obtained via pyrolysis-free strategy. The resultant fibers can be facilely organized into a free-standing large-area film with a uniform hierarchical porous texture and a full dispersion of atomic Co active sites on the catalyst surface. Focused ion beam-field emission scanning electron microscopy and computational fluid dynamics experiments confirmed that the relative diffusion coefficient was enhanced by 3.5 times, which can provide an efficient route both for reactants to enter the active sites, and drain away the produced water efficiently. As a result, the peak power density of the integrated Co-COP nanofiber electrode was remarkably enhanced by 1.72 times along with significantly higher durability compared with conventional spraying methods. Notably, this nanofabrication technique also maintains excellent scalability and uniformity, which are desired characteristics for assisting in membrane electrode assembly manufacturing for PEMFCs.
Oncologic Safety of Axillary Lymph Node Dissection with Immediate Lymphatic Reconstruction
Authors: Guzzo Hope M. , Valente Stephanie A. , Schwarz Graham S. , ElSherif Ayat , Grobmyer Stephen R. , Cakmakoglu Cagri , Djohan Risal , Bernard Steven , Lang Julie E. , Pratt Debra , Al-Hilli Zahraa 
Published: August 2022

Abstract
Purpose: Immediate lymphatic reconstruction (ILR) at the time of axillary lymph node dissection (ALND) can reduce the incidence of lymphedema in breast cancer patients. The oncologic safety of ILR has not been reported. The purpose of this study was to evaluate if ILR is associated with increased breast cancer recurrence rates. Methods: Breast cancer patients who underwent ALND with ILR from September 2016 to December 2020 were identified from a prospective institutional database. Patient demographics, tumor characteristics, and operative details were recorded. Follow-up included the development of local recurrence as well as distant metastasis. Oncologic outcomes were analyzed. Results: A total of 137 patients underwent ALND with ILR. At cancer presentation, 122 patients (89%) had clinically node positive primary breast cancer, 10 patients (7.3%) had recurrent breast cancer involving the axillary lymph nodes, 3 patients (2.2%) had recurrent breast cancer involving both the breast and axillary nodes, and 2 patients (1.5%) presented with axillary disease/occult breast cancer. For surgical management, 103 patients (75.2%) underwent a mastectomy, 22 patients (16.0%) underwent lumpectomy and 12 patients (8.8%) had axillary surgery only. The ALND procedure, yielded a median of 15 lymph nodes removed (range 3-41). At a median follow-up of 32.9 months (range 6-63 months) no axillary recurrences were identified. Conclusion: Immediate lymphatic reconstruction in breast cancer patients undergoing ALND is not associated with short term axillary recurrence and appears oncologically safe.
Removal of Benzene, MTBE and Toluene from Contaminated Waters Using Biochar-Based Liquid Activated Carbon
Authors: Alshahrani Fawaz , Tawabini Bassam , Saleh Tawfik , Alrayaan Mohammad , Alaama Subhi , Nasser Rayan , Soupios Panteleimon , Kirmizakis Panagiotis , Mahmoud Mohamed , Oyehan Tajudeen , Safi Eyad 
Published: August 2022

Abstract
Fuel compounds (BTEX) and fuel additives (MTBE) are pollutants frequently detected in groundwater resources. They may cause serious environmental and health issues and have to be removed from water before use. Ex-situ technologies such as air stripping, advanced oxidation and column adsoroption have been in use for years with different success rates. Recently, more attention has been given to the in-situ remediation methods using liquid/colloidal carbon adsorbents. However, limited studies were found on the use of these adsorbents for the removal of BTEX and MTBE from contaminated waters.Therefore, this study investigates the capacityof using raw biochar-based liquid activated carbon (LAC) and iron-modified biochar-based liquid activated carbon (LAC-Fe) in removing these pollutants. The LAC and Fe-LAC were coated on different host materials (i.e. sand, limestone, 1:1 mixutre of sand and limestone) and granular activated carbon (GAC) under lab-scale batch suspension-adsorption experiment. Results of the study revealed that coating LAC or LAC-Fe on subsurface materials has marginally improved the removal efficiency of MTBE, benzene and toluene but still below that of GAC which reached a removal of 80% for MTBE and more than 90% for BTEX. Results also showed that benzene and toluene were better removed by LAC and LAC-Fe (∼40%) than MTBE (∼20%). There were marginal effects of water chemistry (i.e. salinity and pH) on the removal efficiency of pollutants under the study conditions. The results indicate that more research work is needed to improve the capacity of biochar-based liquidactivated carbonin removing MTBE and BTEX compounds.
Development and Validation of a New Analytical Method for Determination of Linagliptin in Bulk by Visible Spectrophotometer
Authors: Sahloul Lujain , Salami Maisam 
Published: August 2022

Abstract
A simple, economical and specific analytical method have been developed for determining and validation Linagliptin (LNG) in bulk. This method is based on condensation reaction between a primary amine in LNG and aldehyde group in P-Dimethylaminobenzaldehyde (PDAB) to form the yellow Schiff base with a wavelength at 407 nm. The optimum experimental conditions for the formulation of the colored complex have been studied. The optimum conditions were 1 ml of 5% w/v reagent solution with methanol and distilled water as a solvent for both PDAB, LNG respectively, also adding 2 ml of HCl as an acidic medium, heating to 70 - 75℃ on a water bath for 35 minutes. Furthermore, the stoichiometry of reaction has been studied according to Job’s and Molar ratio method which was expressing 1:1 for LNG and PDAB. The researcher modified the method. The results show that the linearity in the concentration range (5-45 µg/ml) with correlation coefficient R² = 0.9989 with percent recovery (99.46 – 100.8%) and RSD was less than 2%, LOD and LOQ 1.5815 -4.7924 μg/ml respectively. This method can show a high quality and there is no significant interference with excipients and in pharmaceutical forms. None of the studies showed a developing of this method before.
The negative association between serum albumin and coronary heart disease risk in adults over 45 years old: a cross-sectional survey
Authors: Hou Xin-zheng , Liu En-qi , Liu Si-qi , Lv Hao , Cui Hua-feng , Han Jing 
Published: August 2022

Abstract
Objective: To explore the correlation between serum albumin and coronary heart disease (CHD) risk in adults over 45 years old.Methods: This cross-sectional study utilized the non-institutionalized US population from the National Health and Nutrition Examination Survey (NHANES 2011-2018) as the sample source. Multiple logistic regression was used to examine the association between serum albumin and CHD risk. Smooth curve fitting was performed to explore the potential nonlinear relationship. When the non-linear relationship was found, a recursive algorithm was used to calculate the inflection points, and a piecewise logistic regression model was constructed.Results: After adjusting for confounders, multiple logistic regression and smooth curve fitting indicated an inverse association between serum albumin and CHD risk [ OR=0.970, 95%CI= (0.948, 0.992)]. Subgroup analysis found this negative correlation was statistically significant in the population of females, over 60 years old, with hypertension and without diabetes.Conclusion: There is a correlation between serum albumin and CHD risk. Lower serum albumin levels are associated with higher CHD risk.
Use of PNN and Post Stack Inversion to Predict Reservoir Characterization in the Mediterranean Sea, Egypt, Sapphire Field
Authors: Othman Adel , Metwaly Farouk , Fathy Mohamed , Salama Ahmed 
Published: August 2022

Abstract
We face the difficulty of describing the reservoir based on the availability of diverse seismic methods in complicated geologic settings with a high degree of heterogeneity in reservoir features, such as submerged channel complexes as in the Nile Delta province. However, a lack of available wells and seismic data makes using post-stack seismic inversion procedures the best way to predicate gas accumulation. The average correlation coefficient between synthetic and seismic data is 0.997, with a 7% error, demonstrating the value of model-based inversion, furthermore, because of its separate nonlinear interaction with conventional seismic characteristics and seismic inversion products, quantitative prediction of water saturation (Sw) from seismic. Water saturation prediction away from the well is critical for effectively identifying reservoirs. As a result, probabilistic neural network (PNN) analysis has become popular. Using full-stack seismic and Sw logs, (PNN) analysis was used to forecast Sw, Vsh, and Фeff 3D volume. We used the proposed neural network approach to late Pliocene gas sandstone reservoirs, Sapphire field, in the West Delta deep marine (WDDM) concession, offshore Nile Delta, Egypt, in this case, study. The discovered volume indicates a high volume of gas and condensate on numerous channel levels.
New logarithm-based discrimination formulas for differentiating thalassemia trait from iron deficiency anemia in pregnancy
Authors: Shuang Xiao , Zhenming Wang , Zu Mei , Si Sun , Li Zuo 
Published: August 2022

Abstract
Background: Thalassemia trait (TT) and iron deficiency anemia (IDA) are the most common conditions of microcytic hypochromic anemia (MHA) in pregnant women. Accurate discrimination between TT and IDA is an important issue, and better methods are urgently needed. Although considerable RBC formulas and indices have been developed since 1973, distinguishing between IDA and TT is still a challenging problem due to the diversity of various anemic populations. To address this problem, we assessed the diagnostic function of 43 different differential formulas in patients with microcytic anemia by using accuracy measures and recommending a new log-based differential formula.Methods: The data of 430 pregnant women (229 with TT and 201 with IDA) were enrolled, and 44 formula performances were evaluated with receiver operating characteristic (ROC) analysis.Results: The newly introduced logarithm-based formula XS-1 performs better than the general discriminant index with sensitivity and specificity of 82.10 and 89.05, which are better than other formulas. In the pregnant population, the Shine and Lal and Roth..SVM. formulas have shown excellent performance, while other formulas showed poorer discriminative abilities in our study than in the original authors.Conclusion: The logarithm-based formula XS-1 can be used to screen thalassemia and iron deficiency anemia during pregnancy. Considering the particularity of pregnancy, medical personnel in different regions should choose a screening formula similar to that of the local region and population when identifying thalassemia in pregnancy. Any formula should be independently verified locally before use. For the convenience of the health care team and experimental scientists, a web-based tool has been established at http://yyy.yiyiy.top:28992/XS-1/ by which users can easily get their desired screening test result without going through the underlying mathematical and computational details.
Rough set driven feature selection and rule based medical data classification approaches based on MapReduce computing framework
Authors: BHUKYA HANUMANTHU , M Sadanandam 
Published: August 2022

Abstract
The current study proposes an alternative strategy for managing huge and intricate datasets by integrating a number of information removal strategies, including Correlation-based Feature Selection (CFS), Best-First Search (BFS), and Dominance-based Rough Set Approach (DRSA). The goal of this learning is to improve the classifier's classification presentation by removing uncorrelated or unpredictable information values. The planned approach, dubbed CFS-DRSA, entails numerous stages. The operations are carried out sequentially, with two critical feature extraction techniques applied throughout the process's initial phases. Data reduction can be accomplished in the first phase by utilising both the CFS approach and the BFS algorithm. Second, a DRSA is used with a data selection technique to get the most optimal dataset possible for the circumstance. As a result, the investigation's primary objective is to identify a solution to the problem. Machine learning techniques can be used to increase classification precision while minimising calculation time. By including a variety of characteristics and volumes into the design, the experimental strategy was used to authenticate the planned technique. It was able to demonstrate the method's dependability and reliability using widely used assessment methodologies. When compared to other well-known methods, such as deep learning, this is very remarkable (DL). On the overall, the concept is advantageous because it has been demonstrated to aid the classifier in accurately re occurring a relevant result. When applied to incessant value datasets in which the information opinions do not contain any period info and are potentially inaccurate and unclear, the suggested model CFS-DRSA is effective. To validate the performance of the CFS-DRSA technique, a detailed experimental analysis is carried out and the experimental result highlights the betterment of the CFS-DRSA technique.
Automated Whole Slide Image Analysis for a Translational Quantification of Liver Fibrosis
Authors: Serdjebi Cindy , Bertotti Karine , Huang Pinzhu , Wei Guangyan , Badlani Disha , Leclercq Isabelle A. , Barbes Damien , Lepoivre Bastien , Popov Yury V. , Julé Yvon 
Published: August 2022

Abstract
Current literature highlights the need for precise histological quantitative assessment of fibrosis which cannot be achieved by conventional scoring systems, inherent to their discontinuous values and reader-dependent variability. Here we used an automated image analysis software to quantitate fibrosis deposition in two relevant preclinical models of liver fibrosis, and established correlation with other quantitative fibrosis descriptors. Longitudinal quantification of liver fibrosis was carried out during progression of post-necrotic (CCl4-induced) and metabolic (HF-CDAA feeding) models of chronic liver disease in mice. Whole slide images of picrosirius red-stained liver sections were analyzed in fully automated, unsupervised manner by our software. Fibrosis was characterized by a significant increase of collagen proportionate area (CPA) at weeks 3 (CCl4) and 8 (HF-CDAA) with a progressive increase up to week 18 and 24, respectively. CPA was compared to collagen content assessed biochemically by hydroxyproline assay (HYP) and standard histological staging systems. CPA showed a high correlation with HYP content for CCl4 (r = 0.8268) and HF-CDAA (r = 0.6799) models. High correlations were also found with Ishak score or its modified version (r = 0.9705) for CCl4 and HF-CDAA (r = 0.9062) as well as with NASH CRN for HF-CDAA (r = 0.7937). Such correlations support the use of automated digital analysis as a reliable tool to evaluate the dynamics of liver fibrosis and efficacy of antifibrotic drug candidates in preclinical models.
Comparison of Color Selecting methods’ reliability, including visual evaluation, Intraoral Scanning, and photography (SLR camera and smartphone)
Authors: Atri Faezeh , memarian maryam , rahmani faraz , pirooz parsa 
Published: August 2022

Abstract
Statement of problem. Given the grave importance of color selection in prosthetic dentistry, finding the most reliable method and easing the burden of unsatisfied outcomes in aesthetic dentistry is necessary. There is a lack of adequate evidence to strictly back one of the existing methods, resulting in confusion and indecisiveness among dental professionals.Purpose. This diagnostic test study aimed to recognize the best method of color selection out of the three most common ones (visual assessment, intraoral scanning, and photography) by determining and comparing their reliability.Material and methods. Twenty-six participants with nearly-fine maxillary right first incisors (without any sign of dental wear, pigmentation, or enamel anomaly) were selected among 20 to 40-year-old patients. The colors of the respective teeth were determined by visual assessment of three expert evaluators, intraoral scanning, and photography (by two different means: SLR camera and smartphone). These determination methods were performed twice with a two-week gap. The reliabilities of the mentioned methods were examined and compared using the ICC (Interclass correlation coefficient) test (significance level=0.05).Results. The study findings showed us a significant difference between various means of color selection (p<0.05). Reliability measures are as follows: 92.3% for intraoral scanning, 61.5% for visual evaluation, 15.4% for SLR cameras, and 7.7% for smartphone cameras. Despite the promising results supporting the visual evaluation method, poor interpersonal reliability was reported.Conclusions. Using intraoral scanners to determine the tooth’s actual color is the most reliable method, followed by the visual evaluation technique. Using photographic pictures is the least reliable one regardless of the capturing tools.
A proposed five level inverter for transformerless photovoltaic grid-connected applications
Authors: El-Menofy Ghada , Osheba Dina S. , El-Kholy Elwy E. , El-Hefnawy Abbas 
Published: August 2022

Abstract
The transformerless inverter for grid-connected photovoltaic (PV) system has been an increasing interest from researchers because of the benefits of smaller size, lower cost and higher efficiency compared with the ones which have transformer. However, the leakage current which resulting in transformerless inverter because of the absence of galvanic isolation must be eliminated. In this study, a novel single-phase transformerless multilevel inverter for grid-tied PV systems is proposed. The proposed inverter can reduce the leakage current. A suitable sinusoidal pulse width modulation (PWM) is modified to utilize with the proposed inverter to produce five-level output voltage. The structure of the new circuit and its principle of operation with the modified modulation strategy are illustrated in this paper. A simulation of the proposed inverter included in grid-tied PV system with a convenient control system have been built in MATLAB/Simulink software to verify the theoretical explanations. Finally, a prototype is tested to verify the theoretical analysis and main contributions of the study.
Metal salts assisted thermoplastic polymer NIPAM in-situ carbonization on porous silica microspheres surface
Authors: Fan Chao , Liang Xiaojing 
Published: August 2022

Abstract
The unique structure of porous Silica@Carbon (Sil@C) microspheres not only can provide larger surface area and active site, but also have the characteristics of high mechanical strength and easy modification. However, the preparation of different carbon-shell morphology microspheres and controllable operation of surface area via using polymers as carbon source was still a challenge. Herein, we report a simple method to in-situ fixation a series of different morphology graphitized carbon shell (rosa roxburghii, bulk, and carbon sphere shapes) on porous silica microspheres surface. The heat released by metal salts at high temperature will not only prepare graphitized carbon with different morphology on silica surface, but also facilitate the in-situ carbonization of thermoplastic polymer on the surface of cabinet without entering silica internal pores. This experimental method provided an experimental theoretical basis to prepared Sil@C microspheres with controllability of carbon-shell morphology and surface area.
Optimization and Validation of a Quick and Responsive LC-ESI-MS/MS Method to Evaluate Tetracyclines Residues in Processed Animal Proteins (PAPs)
Authors: Morello Sara , Pederiva Sabina , Avolio Rosa , Squadrone Stefania , Abete Maria Cesarina , Marchis Daniela 
Published: August 2022

Abstract

Background
Following the bovine spongiform encephalopathy (BSE) in 2001, processed animal proteins (PAPs) reintroduction is envisaged in non-ruminant feed thanks to their high protein content, easy availability and cost-effective characteristics. PAPs must be submitted to rendering practices, providing sterilization of products, under standardized conditions of temperature and pressure, according to Regulation (EC) No 142/2011. However, the chemical risk associated to these raw materials has been never evaluated. The aim of this study was to develop and validate a reliable liquid chromatography tandem mass spectrometry (LC-MS/MS) method for the determination and quantification of tetracycline residues in PAPs at µg kg− 1 level.
Methods
The LC-MS/MS method performances were evaluated in terms of specificity, linearity (25–500 µg kg− 1), limit of quantitation (LOQ) (25 µg kg− 1), accuracy and precision (CV% <25%), uncertainty, recovery (80–120%) and ruggedness.
Results
All the evaluated parameters fulfilled the analytical performance criteria and the validated LC-MS/MS method fits for purpose as confirmatory method on the occurrence of residues (µg kg− 1) of TCLs in PAPs.
Conclusions
PAPs are a powerful product which could be used both as raw material in feed and in organic fertilizer production in a circular economy context. Therefore the lack of regulation and control over antibiotics occurrence should be implemented to avoid a misuse and an increment of antibiotic resistance pressure over the environment and to ensure safety of the feed and food chain.
Using Advanced Technologies for Neurodegenerative diseases detection at national level
Authors: Rocha Nelson , Cruz Vítor Tedim , Pais Joana , Aguiar Rui 
Published: August 2022

Abstract
As our society ages, neurodegenerative diseases become more important. Timely diagnosis of these diseases has a large impact on the efficacy of delaying treatments, and increasingly this diagnosis must become easier and lower cost, to be applied to more patients. In this paper we propose a nation-wide monitoring system, based on a cloud based approach supported over 5G networks. This system relies on a web-platform, named Brain Diagnosis, that resort to several serious games clinically validated to determine the performance of various cognitive functions, and been developed as a cognitive screening tool of the individuals in the community for early neurodegenerative detection. We describe the system view, infrastructure requirements at home and for the hospital remote support, communication system requirements, and software support required. We further discuss the validation process, and discuss the viability of Brain Diagnosis as a self-administrated instrument for continuous cognitive screening. The paper will finalize with an overall analysis of a national system aiming to deploy a neurological tracking infrastructure able to track large population effects, such as those expected from COVID19.