bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identity of tissue culture adapted Rift Valley Fever Virus (ZH501)
Authors: Said Taradi Abd El-Fattah , Ibrahim Sherif Mahmoud Mohamed Mohamed , Hammad Marwa Yehia , Youssef Noha Ezz-Eldeen 
Published: April 2023

Abstract
Rift Valley Fever (RVF) is still a threatening zoonotic disease with periodic reemergence in several countries. Egypt is endemic with RVF and uses an inactivated vaccine for control of the disease. Routine testing of the tissue culture adapted seed virus (ZH501-TC), to assess the effect of nucleotide mutations, is essential for the purpose of vaccine production. At the present work we have analyzed partial nucleotide and deduced amino acid sequence of amplified 745 bp product of M segment Gn ectodomain and checked virulence in mice. Allocation of ZH501-TC strain at the A designated lineage with the virulent parental RVFV isolated in 1977, ZH501 Egy Sh 77 indicates its genomic stability after passaging in tissue culture cells for vaccine preparation. Here we denoted a new missense nucleotide mutation A1312G corresponding to the amino acid mutation N371S, in current study the ZH501-TC strain (MZ218760) compared to the parental virulent RVFV isolate ZH501 Egy Sh 77 ( previous sequence ). That mutation enhanced ß sheet formation in ZH501-TC 367AQYASAYCS375 motif which might increase virus antigenicity. In addition, we have confirmed the presence of two sites of nucleotides substitutions; C1033T and A1206C, corresponding to two amino acids changes; T287I and S336R. Our study declared the false notion of the presence of one missense nucleotide mutation; A1252G corresponding to the amino acid mutation K351R, and two other silent nucleotide substitutions; T1257A and G1258C at the strain ZH501-VSVRI. Although we found these mutations, the virulence of the ZH501-TC strain was still present as approved by mice pathogenicity test.
A comprehensive Health Risk Assessment Associated with Bioaccumulation of Heavy Metals and Nutrients in selected Macrophytes of Loktak Lake, Manipur, India
Authors: Laishram Ranu Jajo , Singh Tensubam Basanta , ALAM WAZIR 
Published: April 2023

Abstract

A comprehensive assessment was conducted to evaluate the accumulation of selected heavy metals and nutrients in 10 dominant macrophyte species growing in the Loktak Lake, a Ramsar site, and to assess the potential health risks associated with the consumption of the edible plants. The concentrations of nutrients such as total phosphorus (TP), total nitrogen (TN), potassium (K), calcium (Ca), magnesium (Mg), and heavy metals such as copper (Cu), manganese (Mn), zinc (Zn), and iron (Fe) were measured, and found to be present in the order of plant > sediment > water. The bioaccumulation factors (BAFs) revealed high efficiency of most plants to accumulate heavy metals and nutrients in their tissues from the lake water and sediments, indicating their potential to be used as phytoremediators. Translocation factors (TFs) were also estimated to determine the efficiency of the plants to translocate elements from root to shoot. Colocasia esculenta and Polygonum perfoliatum were found to exhibit the highest BAF and TF values for most of the parameters. Target hazard quotients (THQs) revealed potential health risk associated with one or more heavy metals in the plants, except for Zn whose THQ values were below the level of concern in all the edible plant species. The hazard index (HI) signifying potential non-carcinogenic health risk from the combined effects of all the heavy metals was found to be highest for Polygonum perfoliatum, indicating a potentially higher risk to health if this edible macrophyte is regularly consumed in higher quantities and may pose long-term health effects to the exposed population.
Identification of Differentially Expressed Genes in two Types of Osteosarcoma cell lines upon Zinc Oxide Nanoparticles Treatment Using the RNA-seq Technique
Authors: He Guanping , Guo Xiangfei , Wang Linbang , Liu Xiaoguang 
Published: April 2023

Abstract

Osteosarcoma (OS) predominantly occurs in adolescents, and more often in males than females with characteristics of local invasive growth and early pulmonary metastases. Owing to highly selective and effectiveness, nanoparticles (NPs) have been a new alternative for traditional chemotherapeutic drugs. Previous studies have proved that zinc oxide nanoparticles (ZnO NPs) is one of a promising inorganic NPs in treatment of various tumors besides OS. In this study, we use RNA-seq analysis to deeply explore the potential biological mechanism in the process of ZnO NPs-treated different types of OS cell lines. We detected that 928 genes (DEGs) differentially expressed both in 143B and MG-63 cells, and the eight highest DEGs were verified by RT-qPCR. Gene Ontology (GO) categories analysis displayed regulation of transcription factor on nucleic acid binding in molecular function term, and extracellular space in cellular components term in both OS cell lines. Kyoto Encyclopedia of Genes and Genomes (KEGG) classification analysis found that the MAPK, Toll-like receptor and NF-κB pathways were co-enriched in both OS cell lines. The Protein-protein Interaction (PPI) revealed that HMOX1, MAFB, CXCL10 and CXCL11 were most involved in multiple aspects of biological events in OS cells under ZnO NPs treatment. Furthermore, the key protein molecules in differential signal pathways in both OS cell lines were detected and confirmed by Western Blot (WB). In conclusion, our findings unveiled a range of potential antitumor mechanisms and exploitable bioeffects of ZnO NPs treatment on OS.
Estimating the crashworthiness performances of Collision Boxes Using ANN
Authors: ADANUR Ömer 
Published: April 2023

Abstract
Studies on the development of energy absorbing systems that minimize vehicle chassis damage in traffic accidents are increasing day by day. Many designs have been made in the studies on crash boxes used to absorb the energy released in the event of an accident. The specific energy absorption/ energy/FP crashworthiness values used to determine the efficiency of the designed crash boxes in this study were estimated using the Artifical Neural Network (ANN). The input layer of the ANN model consists of materials (DP600, DP800 and DP1000), thickness of materials (between 0.8 and 2.2 mm) and initial speed (10m/s, 12m/s and 16 m/s). In the ANN model, 42 different models were created by changing the different training function (training, trainlm and trainrp), transfer function (tansig and logsig) and the number of neurons in the hidden layer (between 9 and 33). R2 and RSME methods were used to evaluate the efficiency of ANN models. The training function was found to be highly accurate (R2: 0.99999 and RSME: 0.314727E-05) when the training function was “Trainlm” and the number of neurons in the hidden layer was 33. The training and testing results of the ANN model show that ANN can be used to estimate the specific energy absorption/energy/PCH value of crash boxes.
Risk of bleeding and ischemia in elderly East Asian patients with diabetes mellitus treated with either clopidogrel or ticagrelor: From Korea Acute Myocardial Infarction Registry-V
Authors: Lee Sang Hoon , Jeong Myung Ho , Ahn Joon Ho , Hyun Dae Young , Cho Kyung Hoon , Kim Min Chul , Sim Doo Sun , Hong Young Joon , Kim Ju Han , Ahn Youngkeun , Hwang Jin Yong , Park Yong Hwan 
Published: April 2023

Abstract
Background: The risk of bleeding and ischemia in patients with acute myocardial infarction (AMI) who have undergone percutaneous coronary intervention (PCI) is a common concern for physicians, with added conflict over prescribing a potent P2Y12 inhibitor. In particular, elderly East Asian patients with diabetes mellitus (DM) invoke a heightened concern.
Methods: We analyzed 839 patients who were enrolled in the Korea Acute Myocardial Infarction Registry-V, older than 75 years, with DM, had an AMI, and had undergone PCI. Propensity score matching (PSM) and cox regression analyses were performed to compare the bleeding and ischemic risks between the two groups. After PSM, 699 patients (ticagrelor: clopidogrel = 233:466) were analyzed. Patients with Bleeding Academic Research Consortium (BARC) type ≥2 bleed and those at ischemic risk were analyzed based on major adverse cardiac and cerebrovascular events.
Results: Cox regression analyses showed the type of antiplatelet therapy did not affect the incidence of BARC type ≥2 bleeds (HR, 1.67; 95% CI: 0.86–3.22). Use of the transradial approach for PCI, use of statins, and successful PCI lowered the risk of bleeding. In contrast, low body mass index (BMI) increased the risk of bleeds. In the aspect of ischemia, there was no difference based on the antiplatelet agents used (HR, 1.00; 95% CI: 0.68–1.46). Low BMI, hemoglobin <9 g/dL, high Killip class, left ventricular ejection fraction <40%, and multivessel disease increased ischemic risk. Post thrombolysis in myocardial infarction flow grade ≥3, use of angiotensin converting enzyme inhibitors or angiotensin II receptor blockers, beta blockers and statins decreased the risk.
Conclusions: In this Korean prospective cohort study, there was no difference in the risks for bleeding and ischemia, based on the use of ticagrelor or clopidogrel, in elderly Korean patients with DM. To determine the optimal antiplatelet agents for these patients, large scale randomized controlled trials are warranted.
Trial registration: KCT0008355
Multiyear and seasonal global indicators for French surface waters contamination by WFD substances
Authors: Staub Pierre-François , Salomon Morgane , Assoumani Azziz , Zakar Adeline Blard- 
Published: April 2023

Abstract

This study offers an unprecedented valuation of the French surface waters WFD chemical monitoring dataset, covering 100 substances (metals, industrial and POPs compounds, PPP and biocides active substances, combustion residues) measured monthly on 4000 sites of the 6 main continental river basins, during 12 years (2009–2020). The concentration data were first made comparable through an original process removing the bias induced by the space-and-time heterogeneity of the monitoring labs performance, to gather a reference workable set of monthly contamination indicators. These were then used to display the substances’ seasonal and interannual timeseries, revealing, e.g., the succession of PPP active substances contamination peaking periods in the 6 basins, or the long-term trends of the concentrations of the various chemicals, sometimes evidencing insufficiencies in the monitoring performance. These statements are put in regard of the knowledge of the substances ban, restriction or reduction measures, to assess how streams’ chemical quality responds to them. Additionally, the observed features and their variations over the years are discussed in terms of changes in their usages, product substitution, emission sources, and linked to environmental processes like runoff, river dilution and physicochemical conditions. We provide some original statements and interpretation on Glyphosate and AMPA wide-scale data inter-relation, and some light is cast on the efficacy of the recent national policies restricting pesticides use in populated areas. For PPPs, our water contamination indicators were compared to tonnage data. We assessed their degree of linear relationship, which we propose to quantitatively express through a substance specific basin-to-river contamination coefficient. The interannual variations of this coefficient appear as nicely correlated to the changes in the water contamination seasonal patterns. We were able to describe and validate the dependency of this coefficient to the molecular properties of the substances, conferring some capabilities for predicting the relative environmental risk induced by non-yet monitored compounds. We finally discuss the relevance of the developed indicators to complement the national chemical pollutants management system currently in place.
Integration of routine hematological indicators for early diagnosis of occupational silicosis
Authors: Sun Guokang , Zhang Jing , Xiang Pinpin , Wu Ling 
Published: April 2023

Abstract
Objectives To explore the value of a logistic regression model based on haematological parameters for the early diagnosis of silicosis by comparing the differences in haematological parameters between silicosis patients and healthy physical examiners.Methods A total of 390 individuals, including 195 silicosis patients and 195 normal participants were included in the training cohort. Then, 65 silicosis patients and 65 healthy individuals were enrolled in the validation cohort. Whole blood samples were collected from all participants, and hematological indicator characteristics were determined. Features with statistical significance in the univariate analysis of the training cohort and reported significant features were included in the logistic regression analysis to determine the independent factors influencing the diagnosis of silicosis and to construct a logistic diagnostic model. A receiver operating characteristic (ROC) curve was plotted to evaluate the accuracy of the model in diagnosing silicosis.Results In the training cohort, several hematological indicators were significantly different in silicosis patients, including Hematocrit(HCT), Hemoglobin(HGB), Mean corpuscular volume(MCV), Red Blood Cell Count(RBC), White blood cell count (WBC), Mon#, Mon%, Neu#, Neu%, Red blood cell distribution width coefficient of variation(RDW_CV), C-reactive protein(CRP), Hydroxybutyrate dehydrogenase (HBDH), Lactate dehydrogenase(LDH), Prothrombin time(PT), International normalized ratio(INR), Fibrinogen(FIB), and D-Dimer(DD) levels, all with statistical significance (P < 0.05). The silicosis diagnostic model performed well in the training cohort (Area Under Curve, AUC = 0.943) and had high diagnostic sensitivity (83.1%) and specificity (92.3%). The diagnostic model also effectively distinguished between silicosis patients and the control cohort in the validation cohort (AUC = 0.936).Conclusions This study confirmed that Age, CRP, LDH, Macro%, and INR were independent factors influencing the diagnosis of silicosis, and the logistic regression model based on these indicators could provide a reliable basis for predicting silicosis diagnosis.
Creation and validation of a patient-derived cancer model using peritoneal and pleural effusion samples from patients with ovarian cancer
Authors: Nishie Ruri , Tanaka Tomohito , Murakami Hikaru , Tsuchihashi Hiromitsu , Toji Akihiko , Daimon Atsushi , Miyamoto Shunsuke , Ueda Shoko , Hashida Sousuke , Terada Shinichi , Maruoka Hiroshi , Kogata Yuhei , Hirosuna Kensuke , Taniguchi Kohei , Komura Kazumasa , Ohmichi Masahide 
Published: April 2023

Abstract
Background: The application of personalized cancer treatment based on genetic information and surgical samples has begun in the field of cancer medicine. However, biopsy may be painful for patients with advanced disease that do not qualify for surgical resection. Patient-derived xenografts (PDXs) are cancer models in which patient samples are transplanted into immunodeficient mice. PDXs are expected to be useful for personalized medicine. The aim of this study was to establish a PDX from body fluid (PDX-BF), such as peritoneal and pleural effusion samples,to provide personalized medicine without surgery.
Methods PDXs-BF were created from patients with ovarian cancer who had positive cytology findings based on peritoneal and pleural effusion samples. PDXs were also prepared from each primary tumor. The pathological findings based on immunohistochemistry were compared between the primary tumor, PDX, and PDX-BF. Further, genomic profiles and gene expression were evaluated using DNA and RNA sequencing to compare primary tumors, PDXs, and PDX-BF.
Results Among the 15 patients, PDX-BF was established for 8 patients (5 high-grade serous carcinoma, 1 carcinosarcoma, 1 low-grade serous carcinoma, and 1 clear cell carcinoma); the successrate was 53%. Histologically, PDXs-BF have features similar to those of primary tumors and PDXs. In particular, PDXs-BF had similar gene mutations and expression patterns to primary tumors and PDXs.
Conclusions PDX-BF reproduced primary tumors in terms of pathological features and genomic profiles, including gene mutation and expression. Thus, PDX-BF may be a potential alternative to surgical resection for patients with advanced disease.
A method of locating tropical cyclone center based on gaussian model
Authors: You Qingxiang , Li Zhenqing , Qian Cheng , Wang Tian 
Published: April 2023

Abstract
The Tropical cyclones usually refer to low-pressure eddies that rotate rapidly in the tropics. It seriously threatens the life and property safety,Therefore, the prediction of both the accurate location of the tropical cyclone center and the tropical cyclone path is the key to preventing tropical cyclone disasters. In this paper, a fast method for calculating the center of tropical cyclone using infrared satellite image or visible satellite image is proposed. A two-dimensional Gaussian normal distribution model is used to simulate the gray characteristics of tropical cyclone images. The gray distribution of tropical cyclone satellite image approximates to a two-dimensional Gaussian distribution. In multiple directions, the pixel gray values of tropical cyclone are accumulated, and a set of one-dimensional Gaussian normal distribution functions are used to fit these accumulated values. The peak positions of these one-dimensional Gaussian functions are calculated by derivation. Then, a linear function is fitted according to the relationship between the peak position of the group of Gaussian functions and the selected angle. The coefficient of the fitting linear function is exactly the central coordinate of the tropical cyclone. The proposed method for locating the center of tropical cyclone is tested using visible and infrared satellite images. The results are compared with the best trajectory provided by the Japan Meteorological Agency.
Research on the optimization of urban residents' travel structure based on big data visualization
Authors: Li Wenrui , Chen Ziyi , Li Xueyuan , Shi Su , JU Kechun , Li Yiyang 
Published: April 2023

Abstract
The travel patterns of urban inhabitants are not optimized and require improvement. By utilizing big data visualization, the optimization of urban residents' travel structure can be efficiently achieved, resulting in the reduction of urban traffic and the promotion of a healthier lifestyle for individuals. Through the utilization of big data visualization, the optimization of urban residents' travel structure can be comprehended by means of a mathematical model and the implementation of effective policies aimed at enhancing human settlement. This can also serve as a significant point of reference for exploring future studies in this field. The focus of this paper is to examine the influence of big data visualization technologies that offer insights into the routes of transportation and the movements of pedestrians, as captured by public cameras situated worldwide. In the course of transportation planning, conventional statistical methodologies and extensive data analysis techniques are employed to optimize the travel patterns of urban residents using a basic programming language such as Python. The research has confirmed the efficiency of big data visualization technologies in ameliorating the transportation framework of city dwellers.
Newborn and child health national and provincial clinical practice guidelines in South Africa, Nigeria and Malawi: a scoping review
Authors: Mthethwa Mashudu , Mbeye Nyanyiwe Masingi , Effa Emmanuel , Arikpo Dachi , Blose Ntombifuthi , Brand Amanda , Chibuzor Moriam , Chipojola Roselyn , Durao Solange , Esu Ekpereonne , Kallon Idriss Ibrahim , Kunje Gertrude , Lakudzala Suzgika , Naude Celeste , Leong Trudy , Lewin Simon , Matheba Denny , Mccaul Michael , Meremikwu Martin , Vandvik Per Olav , Kredo Tamara 
Published: April 2023

Abstract
Background Low and middle-income countries remain disproportionately affected by high rates of childhood mortality, often caused by preventable conditions. Clinical practice guidelines (CPGs) are essential policy tools in supporting implementation of effective, safe, and cost-effective healthcare. High-quality evidence-based CPGs play a key role in improving clinical management aiming to impact child mortality. We aimed to identify and assess the quality of CPGs for newborn and child health published in South Africa, Nigeria and Malawi.Methods We searched relevant websites (June–July 2022), for publicly available national and subnational de novo or adapted CPGs, addressing newborn and child health in the three countries. Pairs of reviewers independently extracted information from eligible CPGs (scope, topic, target population and users, responsible developers, stakeholder consultation process, adaptation description, assessment of evidence certainty). We appraised CPG quality using the Appraisal of Guidelines for Research & Evaluation (AGREE II) instrument.Results We identified 40 CPGs from the three countries. Of these, 8/40 reported being adopted from a parent CPG. More CPGs (n = 19) provided guidance on communicable diseases than on non-communicable diseases (n = 8). CPGs were most often developed by national health ministries and professional societies. Eighteen CPGs reported on stakeholder consultation; with Nigeria (10/11) and Malawi (3/6) faring better than South Africa (5/23) in reporting this activity. GRADE was used in 1/7 CPGs that reported assessing certainty of evidence. Overall CPGs scored well on two AGREE II domains: scope and purpose median (IQR) score 68% (IQR 47–83), and clarity of presentation 81% (67–94). Domains critical for ensuring credible guidance scored below 20%: rigour of development 11% (4–32) and editorial independence 6% (0–27).Conclusion Topics covered by the identified CPGs did not always match country level burden of disease likely representing substantial gaps in available guidance for healthcare providers, parents, caregivers, and patients. Our study found low AGREE II scores for CPG development processes, possibly undermining the credibility of the available CPGs to provide evidence-informed care. Our findings highlight the importance of ongoing efforts to strengthen capacity and support CPG development with collaboration between policymakers, researchers and the public.
Assessment of the Impact of Two-Jaw Orthognathic Surgery on 3D Airway Volume in Patients with Skeletal Class III Patterns
Authors: Hsu Tzu-Chuan , Lai Jui-Pin , Lin Shiu-Shiung , Chang Yu-Jen 
Published: April 2023

Abstract
The purpose of this study was to assess the impact of two-jaw orthognathic surgery on the 3D airway volume in patients with skeletal Class III patterns. The study included 27 adult patients with dental Class III malocclusion and mandibular prognathism who underwent two-jaw orthognathic surgery. The changes in airway volume were evaluated using computed tomography simulation and segmentation was carried out using 3D Slicer. Results showed that the average upper airway volume increased by 1979.1 mm3, the oropharyngeal airway volume increased by 336.4 mm3, and the hypopharyngeal airway volume decreased by 1087.5 mm3. Despite this decrease, the overall airway volume still increased by an average of 1228.1 mm3. The findings suggest that two-jaw orthognathic surgery has a positive impact on the overall airway volume in patients with skeletal Class III patterns.
Clinical Trial Registration Number: IRB No: 202101949B0C501