bluuebunny/crossref_metadata_2025_split huggingface dataset:
Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China
Authors: Su Jinyu , Li Zhu , Huang Mengnan , Wang Yang , Yang Tong , Ma Mei , Ni Tongyao , Pan Guangwei , Lai Ziqin , Li Chunjie , Li Lin , Yu Chunquan 
Published: April 2022

Abstract
Background: The triglyceride glucose (TyG) index is a new marker associated with atherosclerosis. This study aimed to assess the association between the TyG index and the severity of coronary artery disease (CAD) in patients with coronary heart disease (CHD) and further explore the association between the TyG index and CAD severity in different glucose metabolic states.Methods: This multi-centre retrospective study included 731 CHD patients between September 1, 2014 to September 30, 2020 in China. All patients were stratified into groups based on the tertiles of the TyG index (T1:5.48 ≤ TyG index ≤ 7.17; T2: 7.18 ≤ TyG ≤ 7.76; T3: 7.77 ≤ TyG ≤ 10.82) and the number of diseased vessels [1-vessel disease (VD), 2-VD and 3-VD] represented the severity of CAD. The relationship between the TyG index and CAD severity was analysed using logistic regression. The associations between the TyG index and CAD severity based on different glucose metabolic status were also assessed. Receiver operating characteristic (ROC) curves were performed to evaluate the accuracy of the TyG index for detecting the CAD severity.Results: The baseline analysis results showed significant differences in clinical and biological characteristics of CHD patients according to the TyG index tertiles (P < 0.05 to < 0.001). The TyG index was significantly related to the risk of multiple diseased coronary arteries and more severe coronary stenoses (CS) (P < 0.001). The TyG index was significantly associated with the risk of 3-VD in patients with CHD. The odds ratio (OR) of 3-VD for the TyG index T3 compared to T1 was 2.27 (95% confidence interval [CI] 1.497-3.452; P for trend <0.001). Among different states of glucose metabolism, the association between the TyG index and 3-VD observed was significant in diabetes (OR: 1.662; 95% CI 1.166–2.369). A TyG index threshold for predicting 3-VD (95% [CI] 0.554-0.664; P < 0.001 ) was 7.0 and was 8.1 in diabetes state (95% [CI] 0.523-0.646; P < 0.001 ).Conclusion: The TyG index is associated with CAD severity in CHD patients and an increased TyG index could identify CHD patients with a high risk of 3-VD. The association between the TyG index and CAD severity in the condition of diabetes is higher than in non-diabetes.
Detection Of Areas in Satellite Imagery Using Point Feature Matching
Authors: Radak Mahyar 
Published: April 2022

Abstract
Recognizing items in cluttered scenes is a fundamental test that has recently been generally accepted by computer vision frameworks. In this paper, we use the intelligent pattern recognition algorithm in a jumbled image in MATLAB for computer vision of area detection in satellite imagery. In the examples used, we used two completely different regional images, both in terms of resolution and pixels, with two different climates with a larger overall image, to show the detection power of this algorithm, which in this case can also view the region in the picture. Distinguish well from a larger satellite image that shows more areas and recognizes us. The algorithm is also able to detect the regional image with high accuracy if the angle of the satellite image changes. This algorithm for detecting a specific object is based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to a small amount of out-of-plane rotation and occlusion.
Robust multi-label feature selection with shared label enhancement
Authors: Hu Juncheng , Li Yonghao , Gao Wanfu 
Published: April 2022

Abstract
In real-world applications, multi-label feature selection has been widely attract considerable attention due to the importance of multi-label data. However, previous methods do not fully consider the relationship between the feature set and the multi-label set but devote attention to either of them. In addition, the existence of irrelevant and redundant information in the feature set and the multi-label set makes previous methods obtain inaccurate results. Moreover, traditional multi-label learning utilizes logical labels to estimate the relevance between the feature set and the label set so that the importance of labels can not be well-reflected. To deal with these issues, we propose a novel robust multi-label feature selection method named RLEFS in this paper. RLEFS utilizes a shared space by mapping patterns to excavate semantic similarity structure in features and labels. Besides, we reconstruct the label space to obtain numerical labels by a label enhancement regularization term during mining semantic similarity structure process. Furthermore, the local and global structures are considered to ensure effective information can be captured as fully as possible during feature selection process. Finally, we integrate the above terms into one joint learning framework, and then a simple yet effective optimization method with provable convergence is proposed to solve the above problems. Experimental results on multiple data sets show that the superiority of the proposed method.
Morphology for Hexagonal Image Processing
Authors: CEVIK Taner , NEMATZADEH Sajjad , CEVIK Nazife , AFSHAR Mahsa Torkamanian 
Published: April 2022

Abstract
Morphological operators for binary and grayscale images are commonly used to eliminate noise, recognize contours or specific structures, and arrange shapes in image processing. Even though morphology has been substantially developed in square-pixel-based-image-processing (SIP), no effort has been made to construct morphological operators in hexagonal-pixel-based-image-processing (HIP) yet. In this paper, we transform basic SIP-domain-morphological operators such as dilation, erosion, closing, and opening into HIP-domain and compare their performance with their SIP counterparts, taking into account 65 similarity- dissimilarity metrics for binary and four metrics for grey-scale proposed so far in the literature. It is the first time to give the fundamental morphological operators in the HIP domain. The operators developed in this paper initiate the research about morphology in the HIP domain by successfully filling a significant gap by eliminating HIP's lack of basic operators.
Acid-base balance, osmoregulation and hematological changes in tilapia (Oreochromis niloticus) after sublethal cadmium exposure
Authors: Soegianto Agoes , Yulianto Bambang , Payus Carolyn Melissa , Affandi Moch , Mukholladun Wildanun , Indriyasari Khudrotul Nisa , Marchellina Ary , Rahmatin Nailul Muthiati 
Published: April 2022

Abstract

Tilapia exposed to two different Cd concentrations in freshwater had varying levels of Cd in their gills, with fish exposed to 2 mg/L of Cd having a higher Cd level than fish exposed to 1 mg/L of Cd. The higher Cd level exposure caused considerable metabolic acidosis (lower pH and higher pCO2) and inhibited gill carbonic anhydrase. Fish exposed to higher Cd levels had lower osmolality, levels of plasma Cl− and K+ but constant levels of Na+. All hematological parameters tested in this study, including red blood cells, hemoglobin, hematocrit, and mean cellular hemoglobin concentration hematocrit, decreased as a result of increased Cd exposure. This is consistent with the pO2 measurement, which indicates that fish exposed to greater levels of Cd had a considerable reduction in pO2.
Performance evaluations of CMIP6 and CMIP5 models for precipitation simulation over the Hanjiang River Basin, China
Authors: Wang Dong , Liu Jiahong , Wang Hao , Shao Weiwei , Mei Chao , Ding Xiangyi 
Published: April 2022

Abstract
Projecting the climate change impacts on hydrology and water resources relies on the climate scenarios simulated by general circulation models (GCMs), which requires a systematic and comprehensive assessment of the GCMs’ simulation performances at a regional scale. This study evaluates the performances of precipitation simulation over the Hanjiang River Basin (HRB) by six climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6), the corresponding six previous models from the CMIP5, and their multi-model ensemble (MME) based on the observational data in the CN05.1. To our knowledge, this is the first preliminary study in the HRB. The Taylor diagram (including standard deviation, root-mean-square difference, and correlation coefficient) and Taylor skill score are used for the evaluation of GCMs’ precipitation simulation performances. The spatial pattern and temporal pattern over the HRB simulated by CMIP6 and CMIP5 models are compared by relative biases. The results of the Taylor diagram and skill score show that CMIP6 models don't necessarily perform better than the corresponding previous CMIP5 models in simulating precipitation over the HRB. The MME exhibits superior performance compared to that of any individual model, and the CMIP6-MME is more skillful than the CMIP5-MME. As to the spatial and temporal variation characteristics, the precipitation biases are both present in CMIP6 and CMIP5 models, and the bias of the CMIP6-MME is lower than that of the CMIP5-MME. The CMIP6 and CMIP5 models overestimate the precipitation from January to June, and simulate larger precipitation biases in the areas and seasons with less precipitation, while they are lower with more precipitation over the HRB. The findings obtained in this study could provide a scientific reference for the research of future hydrological cycle predictions over the HRB.
Preparation of a novel composite geopolymer based on calcium carbide slag-fly ash and its characterization, mechanism and adsorption properties
Authors: Ma Xiaoqing , Zhao Mengqi , Chen Dejun , Liao Yinnian , Chao Yuxi 
Published: April 2022

Abstract
In this study, a mixed precursor system of fly ash (50 wt%) and calcium carbide slag (50 wt%) was used to prepare a geopolymer, and the hydration and hardening mechanism of the whole system and the microscopic characterization of the calcium carbide-fly ash based polymer were investigated after the addition of calcium carbide slag. Ca(OH)2 in calcium carbide slag can effectively excite the volcanic ash activity of fly ash, which leads to a more adequate geopolymerization reaction and produces more hydrated calcium silicate (C-S-H) gels. These gels have very high specific surface area and surface adsorption energy. The results showed that the specific surface area of geopolymer was as high as 79.76 m2/g, and through the study of its adsorption capacity of Cu(II) in aqueous solution, the results showed that its removal efficiency of Cu(II) was 97.63% and its adsorption capacity was 58.58 mg/g. By using fly ash and calcium carbide slag as the auxiliary raw materials for the preparation of geopolymer, it not only can promote the reaction of proceeding, but can also act as an excellent adsorption material, and also as an effective way to utilize industrial waste resources.
Exploring the Recent Trends in Management of Dementia and Frailty:
Focus on Diagnosis and Treatment
Authors: Rahman Md. Mominur , Mim Sadia Afsana , Islam Md. Rezaul , Parvez Anwar , Islam Fahadul , Uddin Mohammad Borhan , Rahaman Md. Saidur , Shuvo Pollob Ahmed , Ahmed Muniruddin , Greig Nigel H. , Kamal Mohammad Amjad 
Published: April 2022

Abstract:
Dementia and frailty increase health adversities in older adults, which are topics of growing research interest. Frailty is considered to correspond to a biological syndrome associated with age. Frail patients may ultimately develop multiple dysfunctions across several systems, including stroke, transient ischemic attack, vascular dementia, Parkinson's disease, Alzheimer's disease, frontotemporal dementia, dementia with Lewy bodies, cortico-basal degeneration, multiple system atrophy, amyotrophic lateral sclerosis, and Creutzfeldt-Jakob disease. Patients with dementia and frailty often develop malnutrition and weight loss. Rigorous nutritional, pharmacological, and non-pharmacological interventions generally are required for these patients, which is a challenging issue for healthcare providers. A healthy diet and lifestyle instigated at an early age can reduce the risk of frailty and dementia. For optimal treatment, accurate diagnosis involving clinical evaluation, cognitive screening, essential laboratory evaluation, structural imaging, functional neuroimaging, neuropsychological testing is necessary. Diagnosis procedures best apply the clinical diagnosis, identifying the cause(s) and the condition(s) appropriate for treatment. The patient's history, caregiver's interview, physical examination, cognitive evaluation, laboratory tests, structural imaging should best be involved in the diagnostic process. Varying types of physical exercise can aid the treatment of these disorders. Nutrition maintenance is a particularly significant factor, such as exceptionally high-calorie dietary supplements and a Mediterranean diet to support weight gain. The core purpose of this article is to investigate trends in the management of dementia and frailty, focusing on improving diagnosis and treatment. Substantial evidence builds the consensus that a combination of balanced nutrition and good physical activity is an integral part of treatment. Notably, more evidence-based medicine knowledge is required.
Preclinical and Clinical Aspects of using Tazemetostate in Human Cancers
Authors: Mousazadeh Leila , Mousazadeh Behzad , Motaei Jamshid , Abbasi Faezeh , Esfehani Reza Jafarzadeh 
Published: April 2022

Abstract:
Epigenetic drugs are novel drug categories with promising effects in different cancers. Tazemetostate
is among the drugs that were recently used in clinical settings, especially in the treatment of specific tumors and
lymphomas. There are a growing number of ongoing clinical trials evaluating the safety and efficacy of tazemetostate
in different cancers. The present review addressed the available preclinical studies evaluating the
combination of tazemetostate and other chemotherapy agents in treating different cancers and summarized the
limited clinical evidence available regarding the efficacy of this novel Enhancer of Zeste Homolog 2 (EZH2)
inhibitor in cancer. Based on the available clinical studies, tazemetostate could be considered a safe epigenetic
agent with limited adverse events for treating specific types of lymphomas and solid tumors. However, the superiority
of using tazemetostate over other chemotherapy agents in patients with cancer as well as using the
drug for other clinical conditions, including non-alcoholic steatohepatitis, needs further investigation. Moreover,
the effect of tazemetostate on human germline cells is clearly evaluated as some animal studies demonstrated
that the drug can affect germline epigenome suggesting further studies on this issue.
Synthesis of Benzalacetophenone-based Isoxazoline and Isoxazole Derivatives
Authors: Farooq Saba , Ngaini Zainab 
Published: April 2022

Abstract:
The demand for natural product-based drugs with less cost and efficient procedures has become
a challenge for researchers. Benzalacetophenone is a natural product-based species that is modified
into numerous heterocyclic compounds, including isoxazoline and isoxazole derivatives. The utility
of isoxazoline and oxazole derivatives has been increased for the synthesis of new and effective
chemical entities to serve medicinal chemistry in the past few years. Isoxazoline and isoxazole are fascinating
classes of heterocyclic compounds, which belong to N- and O-heterocycles, and are widely
used as precursors for the development of drugs. This review highlights the recent work on the synthesis
of mono and bis isoxazoline and isoxazole derivatives using stable benzalacetophenone and functionalization
of isoxazoline and isoxazole, along with the prevailing biological properties.
Identification of Alternative Splicing and LncRNA Genes in Brain Tissues
of Fetal Mice at Different Developmental Stages
Authors: Fu Fang , Du Kun , Li Ying-Si , Li Lu-Shan , Xin Yang , Wang Dan , Lei Ting-Ying , Deng Qiong , Yu Qiu-Xia , Liao Can 
Published: April 2022

Background:
Brain development is an extremely complex and precisely regulated process,
with about one-third of genes expressed and precisely regulated during brain development.

Objective::
This study aims to explore the molecular mechanisms involved in brain development.

Methods:
We first established the expression profile of long non-coding RNAs (lncRNAs) and
mRNAs in brain tissues of fetal mice at 12.5d, 14.5d and 16.5d through high-throughput sequencing.
Second, the associated functions, pathways, and networks of the co-differentially expressed
lncRNAs and mRNAs were identified via Gene Ontology (GO), pathway analysis, and PPI network.
After bioinformatic analysis and screening, 8 differentially expressed lncRNAs and mRNAs
with the same genetic origin were verified by RT-qPCR analysis in brain tissues of fetal mice at
different developmental stages.

Results:
The data revealed that there were 972 co-differentially expressed lncRNAs and 992 codifferentially
expressed mRNAs in brain tissues of fetal mice at 12.5d, 14.5d and 16.5d. And we
discovered 125 differentially expressed lncRNAs and mRNAs, which have the same genetic origin,
in brain tissues of fetal mice at 12.5d, 14.5d and 16.5d through sequencing results and bioinformatics
analysis. Besides, we proved that 8 lncRNAs, which have had the same genetic origin as differentially
expressed mRNAs, were prominently downregulated, while their maternal genes were upregulated
during brain development in fetal mice.

Conclusion:
Our results preliminarily illustrated the differentially expressed lncRNAs and
mRNAs, both of which were derived from the same parent genes, during brain development in fetal
mice, which suggests that alternative splicing of lncRNA exists during brain development. Besides,
our study provides a perspective on critical genes for brain development, which might be the
underlying therapeutic targets for developmental brain diseases in children.
Herd Immunity Against Coronavirus: A Review
Authors: Datta Shreeja , Roy Arpita 
Published: April 2022

Abstract:
The severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) has
spread exponentially, leading to an alarming number of deaths worldwide. A devastating effect
has been observed in susceptible populations. Our body’s immune system plays a very
important role in fighting against diseases. The principle of herd immunity (also known as
population immunity), which has found its way into science and has been in the limelight, is
the most widely recognised among all. It is an indirect defence against infectious diseases
when a community gained immunity, either through vaccines or through prior infection.
Herd immunity against COVID-19 must be achieved to reduce the transmission of disease
and save lives. Therefore, this review provides a comprehension of the role of immunity,
with a special emphasis on herd immunity against COVID-19, and the ways to attain herd
immunity in India have also been discussed.
Targeting Signaling Pathway by Curcumin in Osteosarcoma
Authors: Asemi Zatollah , Yousefi Bahman , Farnood Parnia Rahnamay , Pazhooh Romina Danesh 
Published: April 2022

Abstract:
The most prevalent primary bone malignancy among children and adolescents is osteosarcoma.
The high mortality rate of osteosarcoma is due to lung metastasis. Despite the development
of multi-agent chemotherapy and surgical resection, patients with osteosarcoma have
a high metastasis rate and poor prognosis. Thus, it is necessary to identify novel therapeutic
agents to improve the 5-year survival rate of these patients. Curcumin, a phytochemical compound
derived from Curcuma longa, has been employed in treating several types of cancers
through various mechanisms. Also, in vitro studies have demonstrated that curcumin could inhibit
cell proliferation and induce apoptosis in osteosarcoma cells. Development in identifying
signaling pathways involved in the pathogenesis of osteosarcoma has provided insight into finding
new therapeutic targets for the treatment of this cancer. Targeting MAPK/ERK, PI3k/AKT,
Wnt/β-catenin, Notch, and MircoRNA by curcumin has been evaluated to improve outcomes in
patients with osteosarcoma. Although curcumin is a potent anti-cancer compound, it has rarely
been studied in clinical settings due to its congenital properties such as hydrophobicity and poor
bioavailability. In this review, we recapitulate and describe the effect of curcumin in regulating
signaling pathways involved in osteosarcoma.
Formulation and Evaluation of Tramadol HCL Pectin Coated Chitosan
LDH Bionanocomposite Beads for Colon Drug Delivery System
Authors: Pawar Ashish Yashwantrao , Ahire Komal Dilip , Naikwade Komal Namdeo , Talele Swati Gokul , Gaikwad Pritesh 
Published: April 2022

Background:
Tramadol HCl (TH) is a centrally acting analgesic that is used to treat mod-erate to severe pain intestinal disorders. Its use is limited orally due to instability.

Objective:
The study aims to develop TH Pectin-coated chitosan LDH bionanocomposite beads for colon targeting.

Methods:
LDH-TH intercalation was done by precipitation reaction and it was used to prepare bi-onanocomposite beads of TH. The developed beads were characterized for bulk density, tap density, angle of repose, HR, CI, particle size, SEM, swelling study, drug loading, and EE. In vitro release study in pH 1.2 HCl buffer, pH 6.8 buffer, and pH 7.4 buffer was performed. The compatibility study was performed using FTIR and DSC studies.

Results:
The optimised formulation (F8) was found to be spherical and smooth. All other micromerit-ics properties were found within the acceptable range with the particle size of 543μm to 888 μm. The amount of swelling is greatly influenced by the pectin concentration employed in the coating process. Drug loading of batches F1 to F8 ranged from 52.37% to 90.25%. % EE of batches F1 to F8 ranged from 71.92% to 88.78. FTIR and DSC studies showed no physical incompatibility between the drug and used excipients. Batch (F8) showed a more controlled release pattern at the highest coating con-centration of pectin (1.5%). The stability study also revealed that there was no change in the drug release profile.

Conclusion:
The developed beads can be used to target the colon to prolonged-release characteristics.
Analysing the conditions of SMEs regarding quality assurance in Hungary and the European Union
Authors: Popovicsné Szilágyi Zita , Menyhárt József 
Published: April 2022

Abstract:
Nowadays, small and medium sized enterprises (SME) have a relatively large task and expectation caused by the appearing of populated large foreign-owned enterprises in our country. In order that they will be able to cooperate with them and be able to join and integrate into the value chain they supply they must meet the high quality of standards. Obtaining then preserving quality certificates is essential for this. It can be fulfilled exclusively with thorough screening and problem identification.
This situation is exacerbated continuously by globalization in which each sector is involved. It means that they must remain competitive globally. Although in our country most of the small and medium sized enterprises bears the specific characteristics of family businesses innovation may not be avoided if they intend to stay competitive. To fulfil this quality assurance is one of its integral part.