bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of preventive medication in general practice in patients in their last year of life: a Retrospective cohort study
Authors: Antonisse Anne , Baan Frederieke H. van der , Grant Matthew , Uyttewaal Gon , Verboeket Cathelijne , Smits-Pelser Hanneke , Teunissen Saskia C.C.M. , Geijteman Eric C.T. 
Published: November 2022

Abstract
Background: Several preventive medications become inappropriate in the last phase of life due to increased risk of adverse events caused by changed pharmacokinetics, drug-drug interactions, and changed care goals. Information on preventive medication use in patients with a life-limiting illness in the home-care setting is limited. The primary aim of this study was to assess the use of four different groups of preventive drugs in adult patients with a life-limiting illness, living at home in the last year of life. The secondary aims were to assess reasons for discontinuing these drugs as documented in the general practitioners’ patient file and whether these reasons affected the time between medication discontinuation and death.
Methods: We performed a retrospective cohort study using the routine primary care database of the Julius General Practitioners’ Network of the University Medical Centre Utrecht, a database consisting of routine care data from GPs from the city of Utrecht and its vicinity. Patients in the homecare setting with a life-limiting illness, diagnosed at least one year before death, were included. Descriptive analyses were used to describe the study population and the frequency of starting, using, and discontinuing medication in the last year of life.
Results: A total of 458 of 666 included patients (69%) used at least one preventive drug in the last year of life. Vitamins were used by 36% of the patients, followed with 35% using cholesterol-lowering medication, 24% using calcium supplements and 9% using bisphosphonates. Bisphosphonates were discontinued by 70% of the users, calcium supplements by 61%, vitamins by 56% and cholesterol-lowering medication by 48% of the users, with a median interval between day of discontinuation and death of 119, 60, 110 and, 65 days, respectively. The median time between medication discontinuation and death was longest in patients with side effects and who had medication reviews.
Conclusion: Many patients in their last phase of life in the home-care setting use inappropriate medication. Timely medication review may contribute to optimise medication use in the last year of life.
Closeness of Some Tree Structures
Authors: golpek hande tuncel 
Published: November 2022

Abstract
A graph can be analyzed by means of many graph theoretical parameters and formulas derived from them. One of those parameters is the closeness parameter which is modified to enable calculations in disconnected graphs. In thispaper, we have considered closeness of some tree structures as k-ary tree, binomial trees, binary tree, comet, double comet, double star graph and Ept graph. Upper and lower bounds are investigated for k-ary andbinary trees. Upper bounds comes from perfect form of tree for k-ary tree andits special structure binary tree. Therefore, the closeness values of perfect forms have been formulated. Also, closeness formulas are gained for binomial trees, comet, double comet, double star graphs and Ept graph.
MSC Classification: 05C05, 05C12, 68R10
The Expression and Effection of miR-192-5p in colorectal cancer: A Bioinformatic Analysis
Authors: Zhang Wei , Yang Xin , Wang Zhenfei , Feng Li 
Published: November 2022

Abstract
Background.
Colorectal cancer (CRC), which remained the third most commonly diagnosed type of cancer globally, was in urgent need of a risk assessment method to determine an accurate treatment course. Recently, miRNA expression patterns have been identified as potential biomarkers for diagnosis, prognosis, and personalized therapy. Here, we practically verified the clinical value of miR-192-5p and thoroughly explored its target genes as well as its potential functions in CRC.
Methods.
By Bioinformatic Analysis miR-192-5p was preliminarily deemed as potential biomarkers with CRC. To learn more about their relationship, we firstly investigated the expression of miR-192-5p in The Cancer Genome Atlas (TCGA) database and constructed receiver operating characteristic (ROC) curves, baseline data sheet and Kaplan-Meier (KM) curves by R software. For further proving expression in tissual level, cancerous and adjacent non-cancerous tissues of 45 CRC patients were collected for analysis using reverse transcription quantitative real-time PCR (qRT-PCR). What’s more, miR-192-5p related cell function assays were also performed in cell lines, including transfection and scratch assays. Furthermore, we identified potential target genes, hub genes and Immune-associated cell for miR-192-5p from online datasets. Finally, A protein-protein interaction (PPI) network and biological functions were constructed to analyze the prospective mechanisms of the predicted genes.
Results.
MiR-192-5p showed a significantly higher expression level in CRC tissues than adjacent normal tissues (P < 0.001). The area under the curve (AUC) of the receiver operating characteristic (ROC) was 0.969 (95% CI: 0.952–0.987, P < 0.001). The decreased mobility of the transfected group suggested that the overexpression of miR-192-5p may inhibit the migration of colon cancer cells. Significant correlations between miR-192-5p expression and clinicopathological features such as gender (P = 0.04), clinical TNM stage (P = 0.028), Vessel carcinoma embolus (P = 0.001), lymphatic metastasis (P = 0.002) and the CEA preoperatively (P = 0.028) were observed. To examine potential target genes, we obtained 93 genes for further function analysis and the PPI network indicated that KIF20A, TPX2, CDCA5, CCNB1, CDK1, PLP1 and NRXN1 were essential hub genes in the whole network. The GO and KEGG pathway annotation indicated synaptic membrane, glutamatergic synapse, and the Drug metabolism - cytochrome P450 pathway as significant prospective mechanisms. Meanwhile, miR-192-5p was highly involved in the process of immune infiltration and formation of pluralistic components in the above tumor.
Exploring the limits of machine-learned potentials for chemically complex multicomponent systems
Authors: Gubaev Konstantin , Zaverkin Viktor , Sriniva Prashanth , Duff Andrew Ian , Kästner Johannes , Grabowski Blazej 
Published: November 2022

Abstract
Chemically complex multicomponent alloys have garnered widespread interest owing to their exceptional properties coming from a sheer inexhaustible compositional space. The complexity poses severe challenges for atomistic modelling and interatomic potential development. Here, we explore the limits of two complementary state-of-the-art machine-learned potentials—the moment tensor potential (MTP) and the Gaussian moment neural network (GM-NN)—in simultaneously describing both the configurational and vibrational degrees of freedom in the prototype Ta-V-Cr-W alloy family. Both models are equally accurate with exceptional performance in comparison to classical potentials. A single potential is able to achieve root-mean-square-errors of 1.37-4.35 meV/atom and 0.023-0.057 eV/Å in 0 K energies and forces, respectively, across all subsystems of the alloy family, and 0.156-0.179 eV/Å in high-temperature molecular dynamics forces for the disordered quaternary. MTPs achieve faster convergence with the training size than the GM-NNs, whereas GM-NNs are faster in execution. Active learning is partially beneficial and has to be complemented with a conventional human-based training set generation.
Clinical Epidemiology and Outcomes of Patients with Gastric Intestinal Metaplasia in the Los Angeles County Hospital System
Authors: Prakash Preeti , Jain Shailavi , Trieu Harry , Chow Kenneth , Karunasiri Deepthi , Liang Tom , Yung Evan , Mason Holli , Tan Hongying , Tabibian James H 
Published: November 2022

Abstract
Background: Gastric intestinal metaplasia (GIM) is a precursor to gastric adenocarcinoma (GAC). In the United States (US), there is no consensus on the utility of surveillance for GIM, and minority populations most affected by this cancer are understudied. Our aims were to define clinical and endoscopic features, surveillance practices, and outcomes in patients with GIM in a multicenter safety-net system.
Methods: We identified patients with biopsy-proven GIM between 2016-2020 at the three medical centers comprising Los Angeles County Department of Health Services (LADHS). Demographics, endoscopic, and histologic findings on esophagoduodenoscopy (EGD) first showing GIM, recommended interval for repeat (surveillance) EGD, and findings at repeat EGD were abstracted. Descriptive statistics were performed to characterize our cohort. T-tests and chi-squared (c2) tests were used to compare patients with and without multifocal GIM.
Results: There were 342 patients with newly-diagnosed biopsy-proven GIM. Hispanic patients comprised 71.8% followed by Asians (12.4%). One-third of patients had a history of H. pylori. For most patients (59%), repeat EGD was not recommended. If recommended, 2-3 years was the most common interval. Over a median time to repeat EGD of 13 months and cumulative follow-up of 119 patient-years, 29.5% of patients underwent repeat EGD, of which 14% of patients had multifocal GIM not previously detected. There was no progression to dysplasia or GAC.
Conclusion: In a predominantly minority population with biopsy-proven GIM, there appears to be relatively slow progression of disease. Based on our findings, GIM surveillance EGD can likely be deferred at least 1-2 years.
Microbial fertilizer regulates C:N:P stoichiometry and alleviates phosphorus limitation in flue-cured tobacco planting soil
Authors: Feng Junna , Chen Lulu , Xia Tiyuan , Ruan Yanan , Sun Xiaolu , Wu Tian , Zhong Yu , Shao Xiaodong , Tang Zuoxin 
Published: November 2022

Abstract
By studying the response of soil and microbial biomass stoichiometric characteristics to fertilization, it is possible to optimize effective fertilization management during flue-cured tobacco growing periods. In this study, we studied the effect of compound fertilizers combined with microbial fertilizer treatments on stoichiometric characteristics of rhizosphere soil and the limitation of microbial resources during the flue-cured tobacco growth periods. The results indicated that soil and microbial C:N:P varied greatly with the growing period, the effect of sampling time was usually greater than fertilization treatment, and the microbial C: N:P did not vary with the soil resource stoichiometric ratios. With the extension of the growth period, the microbial metabolism of tobacco-growing soil was limited by phosphorus and showed a trend of increasing first and then decreasing. The rhizosphere soil microbial resources nitrogen and phosphorus limitation were mainly affected by soil water content, soil pH, microbial biomass carbon, and the ratio of microbial biomass carbon to microbial biomass phosphorus, and the application of microbial fertilizers can reduce phosphorus limitation. Therefore, the application of microbial fertilizers regulates the limitation of microbial resources by affecting the soil and microbial biomass C: N: P in flue-cured tobacco rhizosphere soils.
Limited characters, unlimited perspectives: A longitudinal volume and content analysis of academic research and Tweets on rare diseases
Authors: Leigh Simon , Alvarez-Fernandez Aitor , Tickner Nathan , Noble Max 
Published: November 2022

Abstract
Background
The development of medicines which can genuinely make a difference requires the identification of clinical, economic, and patient-centric needs. Yet, recognising the needs and experiences of both patients and healthcare professionals (HCPs) is often more challenging in rare diseases. One approach to overcoming barriers in capturing the “whole rare disease picture” is to supplement academic research with analyses of social media data. We explore rare disease social media engagement among several key stakeholders, comparing this with engagement in academic publications over the same period.
Results
From 2011 to 2021, there were 228,233 published academic articles concerning the rare diseases under consideration, with publication volumes increasing year-on-year across all conditions. However, rare disease Tweets were on average 11.5-fold higher, with 2,633,366 individual rare disease Tweets over the same period, ranging from 2.9-fold in 2011 to 45.2-fold in 2020. While Tweets increased, so too did unique social media contributors, increasing 4.3-fold (from 150,790 in 2011 to 655,157 in 2021). Nurses (1,267%), pharmacists (9,717%), primary care physicians (15,801%), disease specialists (1,420%), patients and patient advocacy groups (660%) and the pharmaceutical industry (2,261%) all experienced significant increases in rare disease social media engagement from 2011 to 2021 (p<0.001). Additionally, each stakeholder specialised in the delivery of content concerning different topics, with disease specialists most likely to discuss research, patients to raise awareness, primary care physicians discussing symptoms, and nurses dedicating the greatest proportion of their communications to discussing the impact of rare diseases on family life.
Conclusions
Systematic harnessing and analysis of social media data may provide significant value in understanding patient, HCP and system-level needs concerning rare disease management. Tweet volumes exceeded publications year-on-year, with this difference increasing over time and each stakeholder specialising in the delivery of content on different themes. Such data may provide unrivalled insights, enabling researchers to appreciate the full spectrum of stakeholders’ most critical needs, experiences and preferences, thereby enabling meaningful exploration of what “good” looks like. If performed as an adjunct or precursor to published research, the use of social media data may be a valuable tool in identifying key clinical, economic, and patient-centric needs in rare diseases.
Fiscal decentralization, industrial structure upgrading and carbon emission: Evidence from China
Authors: Zhao Bin , Wang Ke-liang , Xu Ru-yu 
Published: November 2022

Abstract
The debate over the role of fiscal decentralization and industrial structure upgrading in China’s environmental governance has received increasing attention. Based on China's provincial panel data from 2003 to 2019, this paper investigates the impact of fiscal decentralization and industrial structure upgrading on carbon emissions to provide empirical evidence for the above theoretical argument. The results show that fiscal decentralization and industrial structure upgrading are negatively correlated with carbon emissions, while the interaction term for fiscal decentralization with industrial structure upgrading presents a facilitating effect on carbon emissions. Besides, fiscal decentralization, industrial structure upgrading and the interaction term have significant regional heterogeneity on carbon emissions. When fiscal decentralization and industrial structure upgrading are taken as threshold variables, the effects of industrial structure upgrading and fiscal decentralization are significantly nonlinear. Moreover, environmental regulation, transportation infrastructure and carbon emissions are positively correlated. There exists an inverted-U-shaped relationship between carbon emissions and economic growth, which proves Environmental Kuznets Curve theorem. However, FDI and urbanization have no significant effect on carbon emissions. According to the above conclusions, it is necessary to strengthen the positive interaction between fiscal decentralization and industrial structure upgrading in mitigating carbon emissions, promote the green and low-carbon transformation of China's economy, thus realizing the goals of "carbon peak" and "carbon neutrality".
PREGNANT WOMAN IN DEVELOPING COUNTRY AWARENESS OF OBSTETRIC DANGER SIGNS: SYSTEMATIC REVIEW
Authors: Yunitasari Esti , Matos Filomena , Zulkarnain Hakim , Kumalasari Dewi Indah , Kusumaningrum Tiyas , Putri Tantya Edipeni , Yusuf Ah , Astuti Nining Puji 
Published: November 2022

Abstract
Background: Danger signs during pregnancy should be treated and detected early because any danger signs in pregnancy can lead to complications in pregnancy. The purpose of this study was to collect current empirical studies to describe the pregnant women awareness about the danger sign on pregnancy.
Method: This review employed the Prisma-ScR checklist. The articles searched in four electronic databases (Scopus, CINAHL, Science Direct, Google Scholar). Variables that used to search the articles (pregnant woman, knowledge, awareness, danger signs pregnancy). The Framework used to review is PICOS.
Result: The results of the article found 17 studies which met inclusion criteria. High educational status has been associated with increased knowledge, thereby raising awareness of pregnant women regarding pregnancy danger signs. Having a secondary or higher education can significantly increase your knowledge of danger signs during pregnancy.
Conclusion: The level of knowledge of pregnant women about danger signs during pregnancy is related to the mother's vigilance in taking appropriate actions when one or more pregnancy danger signs occur.
Multi Attention Based Approach for DeepFake Face and Expression Swap Detection and Localization
Authors: waseem saima , Abu-Bakar Syed Abd Rahman R. , Omer Zaid , Ahmed Bilal Ashfaq , Baloch Saba 
Published: November 2022

Abstract
Digital media forensics focuses heavily on the detection of altered photos and videos. The
likelihood of an image being altered is often determined by a detection approach using binary
classi cation. The key problem is identifying the parts that have been altered (i.e., performing
segmentation). We propose an attention-based approach to improve and process feature maps
for the classi cation and localization tasks. The learned attention maps show the areas that
contain useful information and give a visual representation of the manipulated regions, which
improves the binary classi cation (real face vs. fake face). The information received from
one manipulation localization is shared with the classi cation network, thereby enhancing the
performance of both tasks. A localized map highlighting the DeepFake manipulation type
is generated by the network's encoder and attention-based decoder. Instead of using encoded
spatial data for classi cation, we used features from the rst layer of the decoder, which includes
attention-based localized features associated with each DeepFake manipulation. These features
are then coupled with frequency domain features to generate a discriminative representation
for identifying DeepFakes. Through comprehensive experiments on face-re-enactment and face-
swapping datasets, we show that our method is better than plain vanilla binary classi ers., as
well as its capacity to manage the mismatch condition for unseen manipulation and attain
state-of-the-art performance. We demonstrate that using multiple attentional blocks improves
both face forgery detection and manipulated region localization.
Extraction of Natural Fabric Dyes from Brown Seaweeds and their Immense Properties
Authors: Gnanadhas Flora , Sundaramoorthy Surendarnath , Natarajan Sowndharya , Gnanamanickam Mary Stephy , Amesho Kassian T.T. , Sharma Bhisham 
Published: November 2022

Abstract
Natural dyes had been identified for recent years but they cannot be replaced the synthetic dyes because of the requirement of knowledge about the usage of natural resources around us to produce massively. This study concentrated about the extraction and their dyeing properties of natural fabric dyes from different brown seaweeds (Padina tetrastromatica, Sargassum tenerrimum and Turbinaria ornata). Various experiments such as phytochemical analysis and FTIR analysis were performed to decide the phytochemicals that helps to dye the fabrics. There were various types of solvents (acetone, ethanol, methanol and water) used for extract the dye and mordants (CH3 COOH, FeSO4 and NaHCO3) which helps to obtain different shades and excellent fastness properties. After dyes extracted by soxhlet extraction method, uncoated cotton fibres which underwent pre- mordanting process (2% mordant solution) were dyed. The dyed cotton fabrics showed shades of different colors based on the mordants and solvent used for dye extraction. Colour fastness assessments were provided the significant features of dyed fibres will have excellent dyeing properties or not. The results were indicated the aqueous and ethanol dye extracts have excellent fastness properties than acetone and methanol dye extracts. Faster properties did not control by the mordants used on cotton fibers.
The Effect of the Number of Eating Out on Metabolic Syndrome and the Moderating Effect of Health Behavior in Korean
Authors: LEE SUN-A 
Published: November 2022

Abstract
Objectives: This study was conducted to prepare fundamental data and prevention measure of metabolic syndrome, and assess the effect of the number of Korean eating out on metabolic syndrome and the moderating effect of health behavior among Korean adults.
Methods: Study subjects were number of 5,206 people with biochemical indicators and basic variables, meal variables, and health behavior variables among the people who participated in the 8th National Health and Nutrition Survey (2019). The collected data were analysed by one-way ANOVA, regression analysis, and Hayes' Process Macro model 1 analysis using IBM SPSS(ver. 26.0) statistical package program.
Results: There were significant correlations between the number of eating out, metabolic syndrome, and health behavior. There was positive (+) effect of eating out on metabolic syndrome. There was significant moderating effect of stress recognition rate in the relationship between the number of eating out and metabolic syndrome.
Conclusion: As above results, the author consider that it should be reducing the number of eating out to reduce metabolic syndrome, and health behavior management
is also necessary, especially stress management. This study will be fundamental data of future study on metabolic syndrome and health improvement among adults.
Binary toxicity of engineered silica nanoparticles (nSiO2) and arsenic (III) on Zebrafish (Danio rerio): application of response surface methodology
Authors: Allahvasi Asoo , Miri Ashkan , Ghorbani Farshid , Johari Seyed Ali 
Published: November 2022

Abstract
Nanoparticles (NPs) in both water and sediments can interact with other contaminants. Increasing production and using NPs by discharge into the aquatic environment can be a threat to aquatic organisms. This study aimed to consider the ecotoxicity and binary effect of arsenic (III) and silica nanoparticles (nSiO2), as independent variables, individually and simultaneously on the mortality rate of Zebrafish (Danio rerio), as a response, by response surface methodology (RSM) under central composite design (CCD). The results revealed that in the treatments within the concentration range of 1 to 5 mg L-1 arsenic and 1-100 mg L-1 nSiO2, no mortality was observed after 96 h. The optimal conditions to achieving the lowest effect of simultaneous toxicity in the concentration range of nSiO2 and arsenic were 87.2 and 7 mg L-1, respectively. Accordingly, the desirable function of the predicted model was found to be 0.78. According to these results, arsenic is toxic for zebrafish. On the other hand, individual exposure to nSiO2 did not cause acute toxicity in the studied species, while the arsenic toxicity was decreased by increasing the concentration of nSiO2.