bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental study of the scattering background produced by dust on the objective lens of the Lijiang 10-cm Coronagraph
Authors: Sha Feiyang , Liu Yu , Zhang Xuefei , Song Tengfei 
Published: September 2023

Abstract
Scattered light from the objective lens, directly exposed to the intense sunlight, is a dominant source of stray light in internally occulted coronagraphs. The variable stray light, such as the scatter of dust on the objective lens, can produce varying scattering backgrounds in coronal images, significantly impacting image quality and data analysis. Through measured data of the Lijiang 10-cm Coronagraph, the quantitative relationship between the distribution of dust on the objective lens and the resulting scattering backgrounds was analyzed. Two models for the scattering background were obtained, by which the original coronal data can be well corrected. The second model, which performs better, gives the scattering background distribution by
${\mbox{Scatter}(r,I_\theta(\theta))=(0.99-0.43r/R_\odot)\times 10^{-7}I_\theta(\theta)/s+0.17-0.1r/R_\odot}$
It indicates that the scattering background at the image plane weakens with increasing height and enhances with increasing dust level on the objective lens. Moreover, we discovered that the dust on the center of the objective lens can contribute more significantly to the scattering background than on the edge. For the first time, this study quantitatively confirms the significant impact of the stray light produced by dust on the objective lens of the coronagraph. It is crucial for the high-precision calibration of ground-based coronagraph data, enabling a more accurate analysis of coronal structure. Furthermore, it will support the provision of reliable observational data for future routine coronal magnetic field measurements using coronagraphs.
Comparative Diagnostic Accuracy of Self-Administered and Professional Antigen-detecting Rapid Diagnostics Tests for SARS-CoV-2 Infection in Individuals with or without Symptoms.
Authors: Vanichsetakul Bhawarankorn , Oonsaengchan Teerawich , Krisorakun Wasanai , Siripongboonsitti Taweegrit , Ungtrakul Teerapat , Sornsamdang Gaidganok , Liwruengkul Naroedee , Tawinprai Kriangkrai 
Published: September 2023

Abstract
Limited data exist comparing the diagnostic performance of antigen-detecting rapid diagnostic tests (Ag-RDTs) when collected by healthcare personnel versus self-collection. This single-center study, conducted from October 2021 to January 2022, involved 245 symptomatic and 203 high-risk participants aged above 18. Randomization determined the utilization of two Ag-RDT types: 5T for self-testing and 25T administered by medical professionals. Of the participants, 78 individuals tested positive via RT-PCR, with 67 in the symptomatic group and 11 in the high-risk group. Notably, Ag-RDT displayed excellent performance, achieving an AuROC of 0.93 (95%CI, 0.90–0.97). No significant difference in accuracy between the two Ag-RDT types was found, with AuROC values of 0.92 for self-test and 0.94 for professional test Ag-RDT (p-value = 0.564). Within the symptomatic group, there was a sensitivity of 88.1% (95%CI, 77.8–94.7) and a specificity of 99.3% (95%CI, 96.3–100). In the high-risk group, Ag-RDT showed a sensitivity of 81.8% (95%CI, 48.2–97.7) and a specificity of 100% (95%CI, 98.0–100). This study highlights the equal accuracy of self-administered and professionally conducted Ag-RDT tests for SARS-CoV-2 detection.
The effects of different levels of potassium diformate and calcium diformate on growth, digestion, antioxidant capacity, intestinal flora, stress markers, and some serum biochemical analytes in juvenile Bluga Huso huso
Authors: Sayah Abdollah Beit , Mohammadian Takavar , Mesbah Mehrzad , Jalali Seyedeh Misagh , Tabandeh Mohammad Reza 
Published: September 2023

Abstract
Potassium diformate (KDF) and calcium diformate (CaDF) are organic acids that modulate growth performance, stress, and biochemical status. So, the present study aimed to investigate the effects of different levels of potassium diformate and calcium diformate on growth performance, stress markers, oxidant/antioxidant status, microbial flora, and some serum biochemical analytes in juvenile Beluga. Juvenile Bluga fed control food or diet supplemented with different levels of KDF (1, 1.5 and 2 g/Kg) and CADF (1, 1.5 and 2 g/Kg) for 60 days. The results showed that fish fed the %0.15 g/Kg KDF showed the favorable growth value at 30 days and relatively less, %0.15 CaDF improved significantly (P < .05) fish growth performance following 60 days of application (P < .05). The results showed that dietary administration of KDF and CADF significantly (P < .05) increased digestive enzymes. Moreover, elevated biochemical parameters were observed in H. huso fed KDF and CaDF supplemented the diet. Serum oxidant/antioxidant status was significantly (P < 0.05) improved in the KDF and CaDF treatments than the control group. Moreover, dietary administration of KDF and CaDF significantly (P < .05) decreased stress markers of H. huso after 60 days. The liver enzymes activities considerably altered in the KDF and CaDF groups compared with the control group after 60 days. Furthermore, dietary administration of KDF and CaDF significantly (P < .05) increased intestinal lactic acid bacteria (LAB) of H. huso after 60 days. Based on the results of this study, it appears that incorporating KDF and CADF into the diet of H. huso can have positive effects on their growth performance and physiological response. The study found that a short-term use of 0.15% g/kg of KDF for 30 days was the most effective in promoting growth. However, the potential use of 0.2% g/kg of KDF and 0.15% g/kg of CaDF for a longer period of 60 days may also be beneficial.
Image filtering using Anisotropic Diffusion for Brain tumor detection
Authors: Hiremath Shilpa , Rani A Shobha 
Published: September 2023

Abstract
A crucial component of medical application is brain tumor analysis. It provides a significant quantity of structural and practical information, which simplifies disease diagnosis and treatment planning. Early tumor diagnosis improves treatment outcomes and ensures the patient's survival. The difficulty of manually segmenting many magnetic resonance pictures increases the likelihood of human error. Therefore, higher accuracy computer-aided detection is required for rapid tumor identification. Using anisotropic diffusion filtering, Otsu threshold segmentation, and morphological procedures, respectively, this work offers computer-aided (CAD) techniques for noise reduction, segmentation, and detection of tumor area in MR images. Additionally, the simulation outcomes demonstrate that anisotropic diffusion and otsu thresholding excels above all other filtering and segmentation combination.
Design of robust optimal gain scheduling Mixed fuzzy logic controller and gain scheduling decentralised fuzzy logic controller for a Fluid Catalytic Cracking Unit
Authors: B puviyarasi 
Published: September 2023

Abstract
Fluid Catalytic Cracking Unit (FCCU) is a process used by refineries to convert heavy oil fractions into lighter products such as gasoline and diesel fuel. It involves breaking down large molecules into smaller ones using a catalyst and high temperatures. The FCCU process is an important part of the refining process, as it increases the yield of valuable products. The FCCU has become the benchmark for many advanced control techniques in recent decades. Both the academic and the industrial researchers show interest in developing a new control algorithm for the efficient industrial FCCU implementation in-order to attain economic and efficient test bench. As a highly non-linear and interacting process, modeling and controlling FCCU is a difficult problem. In this study, the simulation response of gain scheduling decentralised mixed fuzzy logic controller (GSM-FLC) and gain scheduling decentralised fuzzy logic controller (GSD-FLC) are attained on the FCCU process. Real-coded genetic algorithms (RGAs) are used to optimize GSD-FLC and GSM-FLC parameters such as membership functions, rules, and scale factors. Finally, the simulated results are used to compare the response of the, GSD-FLC scheme and GSM-FLC scheme.
Nomogram predicting long-term cardiac mortality in diabetic patients with coronary artery disease
Authors: Yu Fengyi , Liu Zhiyu , Lv Yan , Wang Yunzhe , Tang Junnan , Zhang Jinying 
Published: September 2023

Abstract
Purpose
This study aims at developing a prognostic nomogram base on traditional clinical parameters to predict cardiac mortality of patients with type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD).
Methods
The data was collected from patients diagnosed T2DM and CAD in the first affiliated hospital of Zhengzhou University from January 2012 to December 2016 with clinical and follow-up information intact. A total of 448 patients were involved in the study and randomly divided into training and testing cohorts using a 7:3 ratio. The risk factors involved in the model were selected by Cox regression analysis in the training cohort and validated in the testing cohort.
Results
The multivariate Cox regression analysis revealed that the Gensini score (HR 1.01, 95%CI 1-1.02, p = 0.003), left ventricular ejection fraction (HR 0.95, 95%CI 0.91–0.98, p = 0.001), age (HR 1.05, 95%CI 1.01–1.1, p = 0.010) and estimated glomerular filtration rate (HR 0.98, 95%CI 0.96-1, p = 0.038) were independent risk factors for cardiac death. The nomogram was established with a AUC of 1-, 3- and 5-year at 0.90, 0.91 and 0.86 in the training cohort, 0.97, 0.97 and 0.87 in the validation cohort. The KM curve revealed that rate of cumulative cardiac death was significantly higher in the high-risk group stratified with Youden’s Index of the predicted risk (Log Rank p < 0.001).
Conclusion
The nomogram containing readily available parameters from clinic performed well for cardiac mortality in patients with T2DM and CAD.
Trial registration number and date of registration: 2022-KY-1053 (August 16, 2022)
Characterization of patients with cutaneous squamous cell carcinoma arising in hidradenitis suppurativa from a racially and ethnically diverse population
Authors: Toker Michelle , Pattison Lindsay , Srivast Pooja , Amin Bijal , McLellan Beth N. , Cohen Steven R. 
Published: September 2023

Abstract
Cutaneous squamous cell carcinoma (cSCC) is a lethal consequence of longstanding hidradenitis suppurativa (HS), yet there is limited knowledge regarding this complication. While some risk factors have been identified, including human papillomavirus and smoking, other variables such as obesity, socioeconomic status (SES), and human immunodeficiency virus, have yet to be assessed. Furthermore, previous studies of HS-associated cSCC have predominantly examined White individuals. We evaluate the comorbidities and clinical characteristics of patients with cSCC arising in HS who received their care at a diverse medical center, thereby adding to the limited racial and ethnic representation of this rare, potentially life-threatening neoplasm. Screening a total of 6960 patients with HS, we identified 7 (approximately 0.1%) patients who met criteria for cSCC-in situ or cSCC in the setting of pre-existing HS lesions. All patients were Black or Hispanic and the majority were female, smoked tobacco, experienced metabolic syndrome, required multiple cutaneous biopsies for a definitive diagnosis of cSCC, and had low SES. Compared to previous cohorts, our skin of color patients had diminished rates of cSCC metastasis and mortality, and shorter time intervals between HS and cSCC diagnoses. Assessing the clinical and prognostic features of this complication in diverse patient populations is essential given that HS may be more prevalent in patients of color. We also explore numerous unique risk factors to better understand the pathogenesis of this grave complication.
Ecological and health risk assessment of heavy metals bioaccumulation in Ganges fish near Varanasi, India
Authors: Mishra Bhargawi , Gautam Geeta J. , Chaturvedi Rajnish Kumar , Ansari Nasreen Ghazi , Mishra Vijaya 
Published: September 2023

Abstract
Heavy metal contamination in river Ganga is one of the factor for deterioration in its water quality, also adds to human health risks. We designed our study to achieve a holistic approach by not only estimating the concentration of heavy metals (Lead, Manganese, Chromium and Cadmium) in the river water at different sites based on human anthropogenic activities but also in the fishes residing in the same sites that are collected for human consumption on daily basis. We found, Ganga river in Varanasi is highly loaded with metals (PLI = 6.698) Mean concentration in water was: Pb 1.29 mg/L, Mn 1.325 mg/L, Cr 0.169 mg/L and Cd 0.161mg/L, which were above the permissible limits stated by Environment Protection Agency (EPA) in drinking water. Fishes including exotic and invasive species were collected from the wild and were processed for the presence of these metals in their living tissues. Degree of heavy metal concentration followed liver > gills > muscles. Highest accumulation of Pb was observed in Carpio (Cyprinus carpio) liver (8.86 µg/g) and lowest in Baikari (Clupisoma garua) muscles (0.07 µg/g). Total Target Hazard Quotient (THQ) value i.e. hazard index (HI) showed values in following sequence: C.carpio > O. nilotus > C.punctatus > J.coitor > M.armatus > M.tengara > Baikari. Maximum HI was recorded in Carpio, which is highly consumed fish by human, hence may be harmful to them.
Genetic Variation and Monophyletic Assembly of HIV-1 strains among infected patients within Libyan Community
Authors:   Mohamed Ali Daw1, El-Bouzedi Abdallah H ,   Mohamed Omar Ahmed 3
Published: September 2023

Abstract

A preliminary study was carried out on a total of 371 AIDS patients from different regions of Libya investigating the genetic variability of HIV-1 strains. The patients studied were from four regions including ; Western region 135 (36.4%), Eastern region 98 (26.4%), Meddle region (85 (22.9%), and 53 (14.3%) Southern region. Phylogenetic analysis showed that 197 (53.1%) samples were subtype B followed by 78(21%) subtype A and CRF02_AG 96(18.6%). CRF02_AG strain was isolated from the Eastern region (P < 0.001) and was less distributed with other regions. Although subtypes B and A showed equal distribution within other regions. The genetic diversity of the HIV-1 strain was evident in Western, Central, and Southern regions. Although strains from the Eastern region were found to be persistently monophyletic. Compared with other sub-Saharan and North African countries, the genetic subtype distribution of HIV-1 strains in Libya is very heterogeneous in most of the regions a part form the eastern region. The strain isolated from patients in the Eastern region is unique for several reasons: being monophyletic and highly persistent and rarely reported in other regions. Therefore, monitoring and following the continuity of spread of the HIV is essential for determining public health priorities, assessing the impact of interventions, and estimating current and future healthcare needs.
Treatment withβ-adrenoceptor agonist isoproterenol reduces non- parenchymal cell responses in LPS/D-Galn-induced liver injury
Authors: Wu Yuchao , Ni Tianzhi , Zhang Mengmeng , Fu Shan , Ren Danfeng , Feng Yali , Zhang Ze , Zhao Yingren , He Yingli , Yang Yuan , Tian Zhen , Yan Taotao , Liu Jinfeng 
Published: September 2023

Abstract
Background and Aims
There is growing evidence suggesting the involvement of sympathetic nervous system(SNS) in the development of liver disease. In order to gain a better understanding of the unknown mechanism by which the SNS reduces inflammatory harm through non-parenchymal liver cells(NPCs) during acute liver failure (ALF), we utilized isoproterenol (ISO), a beta-adrenoceptor agonist to mimic SNS signaling.
Methods
C57BL/6J mice were administered ISO in an ALF model established using LPS/D-GalN. Tandem mass tag(TMT) labeling proteomic analysis was employed to identify screen for differentially expressed proteins (DEPs).
Results
Pretreatment with ISO resulted in a reduction of LPS-stimulated inflammation signaling markers, speciallyMapk14 and NF-kB in human THP-1 cells. Additionally, ISO administration led to a decreasein serum levels of proinflammatory cytokines TNF-α, IL-1β, and IL-6 in ALF mice, thereby mitigating liver damage. Through TMT analysis, a total of 1587 differentially expressed proteins (DEPs) were identified in isolated NPCs. Notably, over 60% of the DEPs observed in the ISO vs. ALF comparison were also found in the Con vs. ALF comparison. Enrichment analysis revealed that the DEPs influenced by ISO treatment were associated with heme and fatty acid metabolism, interferon gamma response, TNFA signaling pathway and mitochondrial oxidation function. PPI network analysis indicated Mapk14 and Caspase3 signaling may serve as potentially valuable indicators of ISO intervention. Specifically, the markers on activate macrophages were identified downregulated in ISO initiation, such as Mapk14, Casp1, Casp8, and Mrc1. ISO treatment increased the abundance of anti-inflammatory markers in macrophages, as evidenced by the immunohistochemistry(IHC) slides showing an increase in Arg+ staining, and a reduction in iNOS+ cell infiltration.
Conclusion
Prior treatment with ISO could potentially modulate the biological functions of NPCs and may serve as an innovative pharmacotherapy for the purpose of delaying the pathogenesis and progression of ALF.
Review and Content Analysis of Textual Expressions as a Marker for Depressive and Anxiety Disorders (DAD) Detection Using Machine Learning
Authors: Sharma Chandra Mani , Damani Darsh , Chariar Vijayaraghavan M. 
Published: September 2023

Abstract
Background
Depressive disorders (including major depressive disorder and dysthymia) and anxiety (generalized anxiety disorder or GAD) disorders are the two most prevalent mental illnesses. Early diagnosis of these afflictions can lead to cost-effective treatment with a better outcome prospectus. With the advent of digital technology and platforms, people express themselves by various means, such as social media posts, blogs, journals, instant messaging services, etc. Text remains the most common and convenient form of expression. Therefore, it can be used to predict the onset of anxiety and depression.
Methods
Scopus and Web of Science (WoS) databases were used to retrieve the relevant literature using a set of predefined search strings. Irrelevant publications were filtered using multiple criteria. The research meta data was subsequently analyzed using the Biblioshiny Tool of R. Finally, a comparative analysis of most suitable documents is presented.
Results
A total of 103 documents were used for bibliometric mapping in terms of research outcome over the past years, productivity of authors, institutions, and countries, collaborations, trend topics, keyword co-occurrence, etc. Neural networks and support vector machines are the most popular ML techniques; word embeddings are extensively used for text representations. There is a shift toward using multiple modalities. SVM, Naive Bayes, and LSTM are the most commonly used ML methods; social media is the most commonly used source of data (Twitter is the most common platform); and audio is the most commonly used modality that is combined with text for depressive and anxiety disorders (DAD) detection.
Conclusions
Asian countries are leading in the research output with China and India being the top countries in terms of the number of research publications. However, more international collaborations are needed. Limited research exists for anxiety disorders. Co-occurrence of anxiety and depressive disorders is high (33% of studies).
Design of Intelligent Channelizer for Extracting Signals of Arbitrary Centre Frequency and Bandwidth
Authors: Jones Keith John 
Published: September 2023

Abstract

There are two standard approaches to the problem of wideband signal channelization, namely those based upon the use of a digital down conversion (DDC) unit and those based upon the use of a polyphase discrete Fourier transform (DFT) or PDFT. There are clear advantages and disadvantages with both approaches, however, in that: a) with the DDC approach, optimal performance and flexibility is obtained but at the expense of a heavy computational load; whereas b) with the PDFT approach, a suboptimal and less flexible performance is obtained but at a greatly reduced computational cost through the exploitation of a suitably defined fast Fourier transform (FFT). An intelligent channelizer is described herein which possesses a flexible design able to exploit the merits of both approaches for the case where the input data comprises real valued samples. The two key design features are: a) optimal setting of the PDFT parameters to ensure that for every signal of interest there is at least one channel completely containing it; and b) simultaneous computation of two realdata FFTs: the first as required by the PDFT and the second, a high-resolution FFT with high update rate, able to accurately direct the application of the low-rate DDC units to the relevant PDFT channel outputs.
A Novel Fuzzy Knowledge Graph Pairs-based Model in extreme cases for Hepatitis Sign Diagnosis
Authors: Khanh Phan Hung , Long Cu Kim , Hai Pham Van 
Published: September 2023

Abstract
Recently, machine learning models based on fuzzy inference systems have effectively solved problems in medical diagnosis and received much attention from researchers around the world. For example, Fuzzy Inference System (FIS), Mamdani Complex Fuzzy Inference System with Rule Reduction (M-CFIS-R), Mamdani Complex Fuzzy Inference System with Fuzzy Knowledge Graph (M-CFIS-FKG), and Fuzzy Knowledge Graph Pairs (FKG-Pairs) have been proposed. These machine-learning models have successfully solved most of the disease diagnosis problems based on complex symtom datasets with some characteristics such as amplitude and phase term, uncertain or incomplete input information. However, these models have revealed limitations when dealing with decision-making or disease diagnosis problems in extreme cases (where training datasets are too small or input datasets are large). To overcome this challenge, the FKG-Extreme model, based on FKG-Pairs combined with Q-learning techniques, has been proposed. In order to promote the practical application of the theoretical model FKG-Extreme, a model for Hepatitis Sign Diagnosis has been proposed in this paper. A simulation application of the proposed model has been built, and experimental results have been carried out based on the Liver dataset collected from the UCI machine learning repository, with results in terms of accuracy 13.3% higher than the FKG-Pairs model. Furthermore, some measures (Precision, Recall, and F1-Score) have also been used to evaluate performance and demonstrate that the proposed model has high reliability.