bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive study upon physicochemical properties of (bio)ZnO NPs
Authors: Król-Górniak Anna , Railean Viorica , Pomastowski Paweł , Płociński Tomasz , Gloc Michał , Dobrucka Renata , Kurzydłowski Krzysztof J. , Buszewski Bogusław 
Published: September 2022

Abstract
In this study, for the first time, the comparison of commercially available chemical ZnO NPs and bio-ZnO NPs produced extracellularly by two different probiotic strains (Latilactobacillus curvatus MEVP1 [OM736187] and Limosilactobacillus fermentum MEVP2 [OM736188]) isolated from milk were performed. All types of ZnO NPs were characterized by comprehensive interdisciplinary approach including various instrumental techniques in order to obtain nanoparticles with suitable properties for further applications, i.e. biomedical. Based on the X- ray diffraction analysis results, all tested NPs exhibited the wurtzite structure with an average crystalline size distribution of 21.1 nm (CHEM_ZnO NPs), 13.2 nm (1C_ZnO NPs) and 12.9 nm (4a_ZnO NPs). The microscopy approach with use of broad range of detectors (SE, BF, HAADF) revealed the core-shell structure of bio-ZnO NPs, compared to the chemical one. The metallic core of 1C and 4a_ZnO NPs are coated by the specific organic deposit coming from the metabolites produced by two probiotic strains, L. fermentum and L. curvatus. Vibrational infrared spectroscopy, photoluminescence (PL) and mass spectrometry (LDI-TOF-MS) have been used to monitor the ZnO NPs surface chemistry and allowed for better description of bio-NPs organic coating composition (amino acids residues). The characterized ZnO NPs were then assessed for their photocatalytic properties against methylene blue (MB). Both types of bio-ZnO NPs exhibited goof photocatalytic activity, however, the effect of CHEM_ZnO NPs was more potent than 1C and 4a_ ZnO NPs. Finally, the colloidal stability of the tested nanoparticles were investigated based on the zeta potential (ZP) and hydrodynamic diameter measurements in dependence of the NPs concentration and investigation time. Overall results in present study suggest that used accessible source such us probiotic strains, L. fermentum and L. curvatus, for extracellular bio-ZnO NPs synthesis are of high interest. What is important, no significant differences between organic deposit (e.g. metabolites) produced by tested strains were noticed –both of them allowed to form the nanoparticles with natural origin coating. In comparison to chemical ZnO NPs, those synthetized via microbiological route are promising material with further biological potential once have shown high stability during 7 days.
Clinical observation of Liu-He-Dan in the treatment of limb pain and swelling after closed traumatic limb fractures
Authors: Li Mingxia , Wang Ke , Cheng Chen , Du Ying , He Lingxiao , Liao Dengbin , Hou Xiaoling 
Published: September 2022

Abstract
Objective
To observe the clinical effect of Liu-He-Dan on limb pain and swelling in patients with closed traumatic limb fractures in orthopedic perioperative period.
Methods
A total of 79 patients who received orthopedic surgery were divided into the control group undergoing routine orthopedic nursing and the experimental group undergoing the Infrared lamp and Liu-He-Dan external application.
Results
Compared with the control group, patients in the Liu-He-Dan group had shorter average time of hospital stay (p < 0.05). The Visual Analogue Scale (VAS) pain scores was much lower (p < 0.05). The levels of cellular inflammatory factors included C-reactive protein and white blood cell count were much lower (p < 0.001). The swelling of the affected limb was eliminated faster (p < 0.01).
Conclusion
External application of Liu-He-Dan can effectively relieve and eliminate limb pain and swelling after closed traumatic fracture of limbs.
Dysfunctional B cell and interferon signaling in autoimmune polyendocrine syndrome type 1
Authors: Oftedal Bergithe E. , Bruserud Øyvind , Berger Amund H. , Braun Sarah , Delaleu Nicolas , Dolan David , Royrvik Ellen C. , Artaza Haydee , Meager Anthony , Husebye Eystein S. , Wolff Anette S.B. 
Published: September 2022

Abstract
Purpose: Autoimmune polyendocrine syndrome type I (APS-1) is a devastating autoimmune disease characterised by mutations in the AIRE gene. Because of failure of negative selection, these patients produce autoreactive B and T cells against affected tissues, which lead to a range of autoimmune manifestations. The rarity of APS-1 and inaccessibility of thymic tissue have limited immunological studies. We here hypothesized that lack of AIRE expression in thymus affect immune cells in blood.
Methods: Whole blood microarray analysis (N=16 APS-I patients vs 16 controls) and qPCR of molecules in affected pathways. Single cell sequencing of naïve B cells and flow cytometry analysis of a B cell panel in PBMCs to investigate properties of B cells in APS-I patients compared to age and sex matched healthy controls.
Results: We here show significant downregulation of B cell and IFN-I responses in APS-I patients compared to healthy donors in microarray and system biology deconvolution experiments. Single B cell transcriptomics support downregulation of several of the same molecules including CD74, CD40 and CD79A. Flow cytometry protein experiments revealed an imbalance of plasma (higher) vs transitional B cells (lower) in APS-I patients, followed up by a lower level of CD79b within transitional B cells in patients, but a non-consistent higher level of CD74 within this subset.
Conclusion: We found disturbances in blood immune cell subsets from APS-I patients. Harmonious lower blood cell levels of the B-cell associated CD79A/B were found compared to healthy controls, but further studies are needed to verify the consistency of our findings.
η 3 -allyl-Pd(II) complexes of 2-, 3- and 4-pyridylmethyl- coumarin esters
Authors: González-Montiel Simplicio , Velázquez-Jiménez René , Segovia-Pérez Raúl , Fragoso-Soto Willyfredo , Martínez-Otero Diego , Andrade-López Noemí , Salazar-Pereda Verónica , Cruz-Borbolla Julián 
Published: September 2022

Abstract
A series of 2-, 3- and 4-pyridylmethyl-coumarin esters ligands (1–3) and their η3-allyl palladium complexes (1-Pd – 3-Pd) have been designed, synthetized and characterized. NMR analysis of compounds 1-Pd – 3-Pd indicated the presence of the allyl fragment. The molecular structure of 2, 3 and 1-Pd was determined by X-ray crystallographic analysis. The molecular structure 1-Pd reveals that coumarin ligand (2) is coordinated to the palladium center via a monodentate fashion through the nitrogen atom of the pyridinyl fragment while the allyl group is binding via a η3 fashion in an overall square-planar geometry completed with a chloride atom. An investigation of intermolecular interactions in crystal packing via a Hirshfeld surfaces and fingerprint plots analyses showed a wide variety of intermolecular contacts such as H•••O and H•••N hydrogen bonding, π•••π stacking, C–H•••π and carbonyl (lone pair)•••π interactions that generated polymeric arrays.
Combining Deep Features and Hand-crafted Features for Abnormality Detection in WCE Images
Authors: Amiri Zahra , Hassanpour Hamid , Beghdadi Azeddine 
Published: September 2022

Abstract
In this paper, a computer-aided method is proposed for abnormality detection Wireless Capsule Endoscopy (WCE) video frames. Common abnormalities in WCE images include ulcers, bleeding, Angiodysplasia, Lymphoid Hyperplasia, and polyp. In this paper, deep features and Hand-crafted features are combined to detect these abnormalities in WCE images. There are no sufficient images to train deep structures therefore the ResNet50 pertained model is used to extract deep features. Hand-crafted features are associated with color, shape, and texture. They are extracted from the region of interest (ROI), i.e. suspicious region. The expectation Maximization (EM) algorithm is used to extract more distinct areas in the background as ROI. The expectation Maximization (EM) algorithm is configured in a way that can extract the area with a distinct texture and color as ROI. The EM algorithm is also initialized with a new fast method which leads to an increase in the accuracy of the method. We also used a novel idea to reveal unexpected color changes in the background due to existing lesions as a feature set. A large number of features are created by the method, so the minimum redundancy maximum relevance approach is used to select a subset of more effective features. These selected features are then fed to a Support Vector Machine for classification. The results show that the proposed approach can detect mentioned abnormalities in WCE frames with the accuracy of 97.82%
Wild foods contribute to higher dietary diversity in India
Authors: Cheek Jennifer , Lambrecht Nathalie , Braber Bowy den , Rasmussen Laura , Akanchha Nirali , Govindarajulu Dhanapal , Jones Andrew , Chhatre Ashwini 
Published: September 2022

Abstract
Wild foods, from forests and common lands, can contribute to food and nutrition security. Previous studies have established correlations between forests and dietary diversity. We use matching, a rigorous, quasi-experimental method, and monthly-interval data to assess the contribution of wild foods to women’s diets. We collected 24-hour recall data from 570 households monthly from November 2016 to November 2017 in two districts in East India. We found that wild foods contributed positively to diets, especially in June and July when consumption of wild foods was highest. Women who consumed wild foods had higher average dietary diversity scores (12 and 15% higher in June and July, respectively) and were more likely to consume nutrient-dense, dark green leafy vegetables, than women who did not eat wild foods. Our results show that access to wild foods is critical to addressing undernutrition in rural India.
Chromogenic amide and CHEF-based emissive receptors for Cu 2+ &amp; Co 2+ , as well as biological anions including the notorious CN - : The impact of a molecular chameleon, enticing early career beginners
Authors: Amputu Martha , Naimhwaka Johannes , Uahengo Veikko 
Published: September 2022

Abstract

A rich-in-amide receptors, acrylamide-N’phenylhydrazine carbothioamide-based fluorescent probe (MA) was synthesized via a simple and one-step procedure of Schiff base condensation reaction. The structure was characterized via spectroscopic methods of 1H NMR, UV-Vis and fluorescence methods. In addition, the bench-top applications on the detection of cations and anions, in DMSO, were carried out visually and spectroscopically. As a result, MA displayed colorimetric activities once anions or cations were added, observable by naked eye detectable colour changes. The probe turned out to discriminate cations such as Cu2+, Co2+, Fe3+ and Fe2+ via colour changes, which was complemented by the changes in UV-Vis titration spectra for each individual titration. Moreover, the addition of anions (F−, AcO−, CN− and OH−) to MA had colorimetric impacts observable by naked eyes, and complemented by spectral changes upon UV-Vis analysis. The probe was fluorometrically responsive to the addition of cations (Co2+, Cu2+, Ni2+ and Fe2+) and anions (F−, AcO−, CN− and OH−), both in DMSO, which have all resulted in chelation-based fluorescence enhancement (CHEF), with Co2+ and AcO− complexes exhibiting high affinity of the host-guest species. Thus, MA proved to be a potential chromogenic-fluorogenic probe, which could be used in monitoring the presence of specific cations and anions, in aqueous soluble solvent of DMSO.
Nasal swab mRNA expression profile associated with SARS-CoV-2 infection in children: Integrated RNA-Seq dataset analyses
Authors: Miyagi Yoshifumi , Kin Kentoku , Satake Eiichiro 
Published: September 2022

Abstract
Coronavirus disease 2019 (COVID-19) is a pandemic infectious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although evidence associated with SARS-CoV-2 infection in children is increasing but the pathogenesis and mechanism of disease progression are not fully understood yet. This study aimed to elucidate nasal swab gene expression profiles in children with SARS-CoV-2 infection. Using six publicly available nasal swab RNA-Seq datasets for pediatric patients (0–20 years old), we performed bioinformatics analyses on 223 patients, including 56 pediatric SARS-CoV-2 infected patients and 167 controls. We divided the patients into three groups according to their ages (0–4, 5–10, 11–20-year-old) and detected 44 differentially expressed genes in patients with SARS-CoV-2 infection. Pathway analysis revealed that these genes are associated with defense responses to viruses and innate immune responses. Among these 44 genes, we identified four representative genes (OSBPL8, RELCH, NUPR1, and RUBCN) that were novel and strongly associated with SARS-CoV-2 infection in children. Our study suggests that the expressions of these genes in nasal lesions may contribute to the pathogenesis of COVID-19, which is specific to children.
Global Trends and Prospects in Research of Artificial Cornea Over Past 20 Years: A Bibliometric and Visualized Analysis
Authors: Cai Youran , Zhou Jiaxin , Xu Xuyang , He Bingbing , Zou Wenjin 
Published: September 2022

Abstract

Background: A lot of research have been focused on the area of the artificial cornea, in our study, a bibliometric analysis was performed on the artificial cornea to identify the global key research fields and trends over the past 20 years.
Methods: Publications about artificial cornea were retrieved and downloaded from the Web of Science Core Collection (WoSCC) from 2002 to 2021. Citespace and VOSviewer were used to analyze countries, institutions, authors, and related research areas.
Results: A total of 829 eligible publications were analyzed. The USA was the most productive country for artificial cornea, followed by China and Canada. Harvard University was the most prolific institution in this field. Cornea published most of the studies in this area and Dohlman CH was the most cited author.
Conclusions: Bibliometric analysis in our study firstly provides a general perspective on the artificial cornea, which can be helpful to further explore the issues in the rapidly developing area.
Data-driven Direct Diagnosis of PV Connected Batteries
Authors: Dubarry Matthieu , Cortez Nahuel Costa , Matthews Dax 
Published: September 2022

Abstract
Photovoltaic systems are providing a growing share of power to the electric grid worldwide. To mitigate resource intermittency issues, new systems are increasingly being paired with battery energy storage for which ensuring long and safe operation is critical. Unlike more typical battery applications, these batteries will undergo sporadic usage which will prevent the application of traditional diagnosis methods. This work proposes a new methodology for opportunistic diagnosis using machine learning algorithms trained directly on photovoltaic battery charging data. The training was performed on synthetic voltage data under different degradations calculated from clear-sky model irradiance data. Validation was performed on synthetic voltage responses calculated from plane of array irradiance observations for a photovoltaic system located in Maui, HI, USA. An average RMSE of 2.75% was obtained for more than 10,000 different degradation paths with 25% or less degradation on the cells.
Machine learning models for objective evaluation of visual acuity based on pattern-reversal visual evoked potentials
Authors: Chen Jian Zheng , Li Cong Cong , Chen Tao , Wang Xiao Cheng , Zhang Zuo Ming , Su Yu Ting , Zhang Tao 
Published: September 2022

Abstract
Background

To explore the development of machine learning models for objective evaluation of visual acuity based on pattern-reversal visual evoked potentials (PRVEPs) as a reference for improving medical selection and identification methods for aircrew visual function.

Methods

Twenty-four volunteers were recruited and forty-eight eyes were divided into four groups of 1.0, 0.8, 0.6, and 0.4 (decimal vision) according to visual acuity. The relationship between visual acuity, peak time, or amplitude of P100 that was recorded at 5.7°, 2.6°, 1°, 34′, 15′, and 7′ visual angles was analyzed using repeated-measures analysis of variance. Receiver operating characteristic (ROC) curves were used to compare the effectiveness of the P100 peak time and amplitude as objective indicators of visual acuity at different viewing angles. Based on meaningful P100 peak time and amplitude, four machine learning algorithms were used to construct objective assessment models for visual acuity, and the efficacy of different models was compared by repeated sampling comparisons and ten-fold cross-validation.

Results

The main effects of P100 peak time and amplitude between different visual acuity and various viewing angles were statistically significant (P<0.05). Visual acuity in general was negatively correlated with peak time and positively correlated with amplitude. The peak time initially shortened with increasing examination angle and gradually lengthened after the minimum value was reached at 1°. At the 1° visual angle, there were statistically significant differences when comparing the peak times between the vision groups with each other (P<0.05), and the amplitudes of the vision reduction groups were significantly lower than that of the 1.0 vision group (P<0.05). The correlations between peak time, amplitude, and visual acuity were all highest at 1° (r = 0.740, 0.438). For different binarization classifications of visual acuity, the maximum area under the ROC curves (AUC) of the peak time or amplitude at all visual angles was higher than 0.8 (P < 0.001). Among the objective assessment models of visual acuity constructed by different machine learning algorithms, multilayer perceptron (MLP) had the best performance in distinguishing 1.0 from 0.8, 0.6, and 0.4 visual acuities, with an accuracy of 93.75% for ten-fold cross-validation.

Conclusions

The P100 peak time and amplitude obtained at multiple views of PRVEPs are correlated with visual acuity; machine learning models based on this can be used to assist in the objective evaluation of visual acuity.
PTEN overexpression and nuclear beta-catenin stabilization promote morular differentiation through induction of epithelial-mesenchymal transition and cancer stem cell-like properties in endometrial carcinoma
Authors: Saegusa Makoto , Yokoi Ako , Hashimura Miki , Oguri Yasuko , Matsumoto Toshihide , Hasegawa Yoshinori , Nakagawa Mayu , Ishibashi Yu , Ito Takashi , Ohhigata Kenshuke , Harada Youhei , Fukagawa Naomi 
Published: September 2022

Abstract
Background: Although a lack of functional PTEN contributes to tumorigenesis in a wide spectrum of human malignancies, little is known about the functional role of its overexpression in the tumors. The current study focused on PTEN overexpression in endometrial carcinoma (Em Ca).
Methods: The functional impact of PTEN overexpression was assessed by Em Ca cell lines. Immunohistochemical analyses were also conducted using 38 Em Ca with morular lesions.
Results: Em Ca cell lines stably overexpressing PTEN (H6-PTEN) exhibited epithelial-mesenchymal transition (EMT)-like features, probably through b-catenin/Slug-meditated suppression of E-cadherin. PTEN overexpression also inhibited cell proliferation, accelerated cellular senescence, increased apoptotic features, and enhanced migration capability. Moreover, H6-PTEN cells exhibited cancer stem cell (CSC)-like properties, along with high expression of aldehyde dehydrogenase 1 (ALDH1) and CD44s, a large ALDH 1high population, enriched spheroid formation, and b-catenin-mediated upregulation of cyclin D2, which is required for persistent CSC growth. In clinical samples, immunoreactivities for PTEN, as well as CSC-related molecules, were significantly higher in morular lesions as compared to the surrounding carcinomas. PTEN score was positively correlated with expression of nuclear b-catenin, cytoplasmic CD133, and CD44v6, and negatively with cell proliferation. Finally, estrogen receptor-a(ERa)-dependent expression of Ezrin-radixin-moesin-binding phophoprotein-50 (EBP50), a multifunctional scaffolding protein, acts as a negative regulator of morular formation by Em Ca cells through interacting with PTEN and b-catenin.
Conclusion: In the abscess of ERa/EBP50 expression, PTEN overexpression and nuclear b-catenin stabilization promote the establishment and maintenance of morular phenotype associated with EMT/CSC-like features in Em Ca cells.
Parametric Optimization of Turning Process for Hard HSS M2 Material to Minimize Resultant Tool Vibration
Authors: Pawar Krupal Prabhakar 
Published: September 2022

Abstract
The present investigation is related to parametric optimization of the turning process of high-speed steel M2 grade material. The main aim of the present investigation was to minimize the resultant vibration during the turning process of HSS (M2) on the CNC Machine. In this study, the whole experimentation has done in dry conditions. The process parameters selected for the investigation were Cutting Speed, Feed Rate, Depth of Cut, and resultant tool vibration selected as a quality response characteristic. The material HSS M2 hardness during experimentation was 62-64 HRC. This hardness is selected for the study because this is the actual hardness of the drill tool. The MINITAB 17 software is employed to generate results and data analysis. The turning process optimization is done using Taguchi Method and ANOVA analysis. It is concluded that the feed rate is the most significant machining parameter which affects the resultant vibration signal. The optimum level of process parameters is cutting speed= 180 mm/min, feed rate= 0.1 mm/rev, and depth of cut = 0.4 mm (*if use PCBN insert with 0.8 nose radius).
Circularity in Plastic Waste Management: A Cross-country Comparison between Japan and Sri Lanka
Authors: Ono Sayaka , Sirisena Aluthduwe Hewage Harshi Tharangika , Visvanathan Chettiyappan 
Published: September 2022

Abstract
Sri Lanka, a South Asian country, with a developing economy, is grappling with surging plastic pollution. Japan, on the other hand, is a developed country with a systematic waste management system. Both countries have similarities in terms of being island nations. Japan’s existing plastic waste management (PWM) strategies are a pointer for Sri Lanka to improve the circularity along the plastic value chain. In this study, the aspects of quantitative data related to the plastic value chain, plastic recycling technologies, plastic recycling businesses, policies, and regulations related to plastic waste management, and public awareness strategies in plastic waste management are compared between the two countries Sri Lanka and Japan. The methodology included the literature review and survey conducted using questionnaires, especially to fill the information gap that is identified during the literature review. Japan is practicing all the stages of the plastic value chain, including virgin plastic production, whereas virgin plastic production is absent in Sri Lanka. Technological and policy advancements like the application of Extended Producer Responsibility (EPR) in plastic waste management in Japan can be used as a means of achieving circularity in the Sri Lankan plastic waste management sector. The well-established informal plastic recycling industry in Sri Lanka is a significant feature compared to Japan’s formal plastic recycling industry. The school curriculum in Japan which includes ways of creating awareness on plastic waste management is a proactive action to combat plastic pollution, which is another idea for Sri Lanka to emulate its endeavor to reach circularity in plastic waste management.