bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phyto-Fabrication of Silver Nanoparticles Using Typha azerbaijanensis Aerial Part and Root Extracts
Authors: Mirzaie Amir , Badmasti Farzad , Dibah Hedieh , Hajrasouliha Shadi , Yousefi Fatemeh , Andalibi Romina , Bagheri Kashtali Aliasghar , Rezaei Amir Hossein , Bakhtiatri Ronak 
Published: May 2022

Background: Silver nanoparticles (AgNPs) were phyto-synthesized using Typha azerbaijanensis aerial part and root extracts, and their biological activities were investigated.
Methods: This study was conducted in the Science and Research Branch, Islamic Azad University, Tehran, Iran in 2019. In this experimental study, silver nanoparticles (AgNPs) were phyto-synthesized and the physicochemical properties of AgNPs were determined using UV-Vis (UV-Vis) spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM) and Fourier transform infrared (FTIR) spectroscopy. Antibacterial and anticancer activity of synthesized AgNPs was determined using microdilution assay, and MTT 3- (4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) methods, respectively. The apoptotic effects of AgNPs were investigated using Real-Time PCR and flow cytometry techniques.
Results: Morphological analysis of the synthesized AgNPs confirmed the spherical shape of AgNPs with an average size of 10.67 to 16.69 nm. The FTIR spectrum confirmed the presence of phytochemicals from T. azerbayenensis extract at the AgNP surface. Antibacterial experiments showed that phyto-fabricated AgNPs had significant antibacterial activity against Gram-negative bacteria. The AgNPs were significantly cytotoxic against breast cancer cell line (MCF-7) through induction of apoptosis.
Conclusion: The phyto-synthesized AgNPs had biological activities could be useful in pharmaceutical applications.
La pandémie de Covid-19, l’économie agricole internationale et les filières animales : le cas de la Chine, des États-Unis et de l’UE
Authors: CHATELLIER Vincent , CHAUMET Jean-Marc , POUCH Thierry 
Published: May 2022

La pandémie de Covid-19 est un évènement mondial majeur. Une réflexion sur les premières implications de cette crise sanitaire pour l’économie agricole mondiale et les filières animales est proposée dans le cadre de cet article. Les secteurs agricole et agroalimentaire ont été fortement concernés par cette crise dont les impacts économiques globaux (baisse de 3,5 % du produit intérieur brut mondial et de 5,3 % des échanges internationaux de marchandises entre 2019 et 2020) affectent le pouvoir d’achat des consommateurs finaux. Ils ont cependant bien résisté à la crise, tant au niveau de l’offre (stabilité ou légère croissance des volumes produits de viandes et de lait à l’échelle mondiale) que du commerce. En 2021, la forte hausse des prix internationaux des produits agricoles et la reprise rapide de la croissance économique, notamment dans les trois zones plus spécifiquement étudiées ici (Chine, États-Unis et Union européenne), suggèrent que l’agriculture devrait rester sous la pression d’une demande mondiale soutenue. Plus que la Covid-19, l’impact de la peste porcine africaine en Chine a eu, depuis plusieurs années, des répercussions majeures sur les courants d’échanges internationaux de viandes. De plus, l’appétit croissant des chinois pour les produits laitiers joue un rôle central dans le développement des marchés laitiers internationaux, au bénéfice des zones exportatrices dont l’Union européenne et les États-Unis.
Stability and Bifurcation Analysis of Mathematical Models of Meningitis Transmission with Vaccination and treatment
Authors: Adawiyah Rabiatul , Toaha Syamsuddin , Kasbawati Kasbawati 
Published: May 2022

Meningitis is an infectious disease that occurs in inflammation of the meninges and the spinal cord in consequence of bacteria and viruses. Vaccination and treatment using antibiotics is used to increase growth rate in infected people so that the spread rate can be reduced. This study aims to see the effect of vaccination and treatment using some compartments: susceptible, carrier, infected without symptoms, infected with symptoms, recovery without disability, and recovery with disability; show the sensitivity analysis in order to discover the parameter that affect basic reproduction number and bifurcations analysis. The result from sensitivity found the relation between parameter and that can increase and decrease the value. This study also showed the influence of stability change from equilibrium point caused by the parameter value change form bifurcations analysis. Models simulation show that the effect of vaccination and treatmen for spread of meningitis can be handled.
CNN-based Server State Monitoring and Fault Diagnosis using Infrared Thermal Images
Authors: Nkwawir Beltus Wiysobunri , Erden Hamza Salih , Toreyin Behcet Ugur 
Published: May 2022

Abstract
The recent spike in the demand for high-performance computing (HPC) server systems has created many challenges in data centers (DCs) including thermal management, system reliability sustenance and server failure minimalization. Lately, deep neural networks applied to infrared thermography (IRT) images have been successfully used for fault diagnosis in several fields. This paper evaluates seven state-of-the-art deep pretrained convolutional neural network (CNN)-based architectures and two shallow CNN-based architectures applied on server surface IRT images for the automatic diagnosis of five server operation conditions: partial CPU load; maximum CPU load; main fan failure; CPU fan failure; and server entrance blockage. Our approach is based on the concept of transfer learning which involves two main stages. First, a CNN model classifier pretrained on the large ImageNet dataset is used to extract lower level features. Second, the IRT images are used to finetune the higher levels of the CNN model classifier. A stratified five-fold cross-validation resampling method is used to evaluate the effectiveness and generalization of the nine architectures for five dataset split ratios. Results suggest that the CNN architectures achieve high prediction performance accuracies, with the majority having above 98% test accuracies across multiple split ratios. In addition, our diagnostic results are significantly higher than those obtained using a traditional support vector machine classifier trained on handcrafted features. The effectiveness and robustness of the CNN-based algorithms can provide
Unsupervised detection of interesting discrete sequences using Bayesian surprise
Authors: McGarry Ken , McDonald Sharon , Button Dominic 
Published: May 2022

Abstract
BackgroundIn this work we employ Bayesian surprise to detect interesting/anomalous patterns from discrete sequence data.Many domains consist of discrete sequential time-series such as DNA analysis, online transactions, web click-stream navigation, cyber-attacks, financial transactions and especially sociology life-course data. The difficulty is that each data set has its own unique characteristics and many anomalies defy categorization. Since anomalies are by nature infrequent and elusive, we often do not have enough data for a supervised approach. However, novelty and surprise play a fundamental role in human and animal behavior for survival, attention and adaptation.MethodsWe use three sequence datasets (Swiss Health, Sepsis, and BioFamilies) which are are composed of simpler motifs which are used to build Probabilistic Suffix Trees (PST) which can capture complex relationships based on motif location and frequency of occurrence. New data that deviates from established motifs either in location of appearance, frequency of appearance, or motif composition may represent recurring patterns that may be different in some way. Bayesian surprise is the result of mismatches between our expectations and actual results, hence the degree of surprise or anomalousness attached to a pattern will vary with respect to these differences.ResultsEach data set is assessed by Bayesian Surprise and several other criteria, providing indications of why certain patterns are interesting and why others are not.ConclusionsBayesian surprise can detect data with other properties that would be missed by information theoretic measures such as Shannon surprise and entropy for example.
Exploring multi-disciplinary cancer care for immunotherapy-related dermatological symptoms
Authors: Kruger Dikla , Samuels Noah , Lacey Judith , Keshet Yael , Gressel Orit , Dodiuk-Gad Roni , Shulman Katerina , Tapiro Yehudit , Golan Miri , Ben-Arye Eran 
Published: May 2022

Abstract
Context and objectives: The present study examined the perspectives of healthcare providers (HCPs) in designing a multi-disciplinary model of supportive cancer care for the relief of dermatology-related symptoms caused by immunotherapy. Methods: This qualitative study identified patients undergoing oncology therapy with MoAB, anti-HER2 and anti-PD-L1 monoclonal antibodies among a cohort of patients referred to an integrative oncology (IO) consultation for symptom relief and improved quality of life (QoL). Case-studies with significant dermatology-related concerns were selected and presented to a panel of 6 HCPs trained in medical oncology, oncology nursing, family medicine, supportive cancer care and IO. HCP narratives were qualitatively analyzed and assessed using ATLAS.Ti software for systematic coding. Results: Of 924 patients referred to the IO consultation, 208 were treated with immunotherapy, from which 50 were selected for further evaluation. Of these, and 7 cases were presented to the HCP team which then identified treatment gaps requiring a multi-disciplinary approach. Qualitative analysis identified 3 major themes: a biophysical perspective; a psycho-social-spiritual perspective; and the implementation of integrated care. Discussion: There is a need for a multi-disciplinary approach when treating patients suffering from immunotherpay-related skin toxicities. HCP-reported themes highlight the need to identify patients where such an approach is warranted; conditions where a psycho-social-spiritual perspective should be considered in addition to the bio-physical approach; and considerations of who should be appointed as the patient’s case manager.
Population Genetic Study of 17 Y-STR Loci of the Sorani Kurds in the Province of Sulaymaniyah, Iraq
Authors: Albarzinji Balnd M. , Abdulkarim Farhad M. , Hussein Shaho A. , Rashid Dlshad , Lazim Hayder 
Published: May 2022

Abstract
BackgroundThe Kurds as an ethnic group are believed to be a combination of earlier Indo-European tribes who migrated and inhabited a mountainous area thousands of years ago. However, as it is difficult to describe the precise history of their origin, it is necessary to investigate their population relationship with other geographical and ethnic groups. ResultsSeventeen Y-STR markers included in the AmpFLSTR™ Yfiler™ PCR Amplification Kit (Thermo Fisher Scientific, USA) were used to type DNA samples from the Sorani (Central) Kurdish population in Sulaymaniyah province. 157 haplotypes were obtained from 162 unrelated male individuals. The highest and lowest gene diversities were DYS385a/b (GD = 0.848) and DYS392 (GD = 0.392), respectively. The haplotypes were used to predict the most likely haplogroups in the Sulaymaniyah population. ConclusionHaplogroup prediction indicated predominance (28%) of subclade J2 (44/157) in the Sorani Kurds, northeast of Iraq. The pairwise genetic distance results showed that the Kurdish group clustered along with Asian populations, whereas the furthest countries were Europeans and Africans.
Dynamic analysis of a fractional-order nonlinear 2-DOF vehicle system by incremental harmonic balance method
Authors: Chang Yujian , Li Yonghao , Chen Enli 
Published: May 2022

Abstract
A two-degree-of-freedom (2-DOF) quarter vehicle fractional-order nonlinear model is presented to describe the suspension with viscoelastic material. A general calculation scheme for the 2-DOF incremental harmonic balance method (IHBM) for nonlinear systems with fractional order is derived. The nonlinear dynamic of the present model obtain is acquired by using this method. The accuracy of the proposed method is verified by comparing with the power series expansion method. Afterward, the effects of the various parameters on the dynamic performance are analyzed. Results show that the fractional-order parameters play very important roles in the amplitude-frequency response of the system.
An explanatory model of depressive symptoms from anxiety, post-traumatic stress, somatic symptoms and symptom perception: The role of inflammatory markers in hospitalized COVID-19 patients
Authors: Villarreal-Zegarra David , Paredes-Angeles Rubí , Mayo-Puchoc Nikol , Vilela-Estada Ana Lucia , Huarcaya-Victoria Jeff , Copez-Lonzoy Anthony 
Published: May 2022

Abstract
Background: The COVID-19 pandemic has caused a bigger problem for mental health in the world. The aim of this study was to propose a model of mental health variables in hospitalized patients of COVID-19 and determine which model explained best the depression symptoms in both groups with and without biological response.Method: We conducted a cross sectional study, following a simple random sampling. Data from 277 hospitalized patients with COVID-19 in Lima-Peru, were collected to assess mental health variables (i.e., depression, anxiety, post-traumatic stress, somatic symptoms), self-perception of COVID-19 related symptoms, and neutrophil/lymphocyte ratio (NLR) such as inflammatory marker. By performing a structural equation modeling analysis as a technique to evaluate a predictive model of depression. Results: The results showed a prevalence of depressive symptoms (11.2%), anxious symptoms (7.9%), somatic symptoms (2.2%), and symptoms of post-traumatic stress (6.1%) in the overall sample. No association was found between the prevalence of these mental health problems among people with and without severe inflammatory response. The mental health indicators with the highest prevalence were sleep problems (48%), low energy (47.7%), nervousness (48.77%), worry (47.7%), irritability (43.7%) and back pain (52%) in the overall sample. The model proposed to explain depressive symptoms was able to explain more than 83.7% of the variance and presented good goodness-of-fit indices. Also, a different performance between the proposed model was found between people with and without severe inflammatory response, mainly in the relationship between anxiety and post-traumatic stress, and between the perception of COVID-19 related symptoms and somatic symptoms.Conclusions: Results demonstrated that our model of mental health variables may explain depression in hospitalized patients of COVID-19 from a third-level hospital in Peru. In the model, perception of symptoms influences somatic symptoms, which influence both anxiety symptoms and post-traumatic stress. Thus, anxious symptoms could directly influence depressive symptoms or through post-traumatic stress. Our findings could be useful to decision-makers for the prevention of depression, using screening tools (i.e. perception of symptoms, somatic symptoms, anxiety) to identify vulnerable patients early.
Comparison of VMAT, IMRT, and 3DCRT radiotherapy techniques in the treatment of synchronous bilateral breast cancer patients
Authors: Salim Nidal , Stolbovoy Alexandr , Tumanova Kristina , Shonus Daria 
Published: May 2022

Abstract
Purpose: Synchronous bilateral irradiation of both the mammary glands and the chest wall is a challenging task due to technical difficulties and limited evidence supporting an optimal technique for positive treatment outcomes. We analyzed and compared the dosimetry data of three radiotherapy techniques and selected the most effective one.Methods: Three-dimensional conformal radiation treatment (3DCRT), intensity-modulated radiation therapy (IMRT), and volumetric-modulated arc therapy (VMAT) were compared during the irradiation of synchronous bilateral breast cancer. This was followed by examination of the dose distribution to the target organs (myocardium, left anterior descending artery (LADA), right coronary artery (RCA), and lungs in nine patients.Results: Dose distribution in the lungs was optimal using VMAT, while IMRT was less effective. Doses in the lungs, myocardium, and LADA were highest with 3DCRT. The highest mean dose in the myocardium was observed with IMRT, and a similar effect was noted with RCA. VMAT is the most sparing technique for the myocardium and LADA, despite the RCA dose being slightly higher when compared with that of 3DCRT.Conclusion: We concluded that VMAT is a very effective and satisfactory radiation technique for sparing critical organs. With VMAT, regardless of the volume and side of irradiation, a lower mean dose (Dmean) value was noted in organs at risk such as the myocardium, LADA, and lungs, but not the cardiac conduction system. The use of 3DCRT significantly increases the dose of ionizing radiation reaching the lungs, myocardium, and LADA, which can subsequently cause cardiovascular and lung complications.
Desk based prompts to replace workplace sitting with climbing; a pilot study of acceptability, effects on behaviour and disease risk factors
Authors: Azmi Intan Suhana Munira Mat , Wallis Gareth A. , White Mike J. , Puig-Ribera Anna , Eves Frank F. 
Published: May 2022

Abstract
Background: Prolonged sitting is associated with increased risk of obesity, type 2 diabetes and cardiovascular disease. Occupational sitting accounts for up to 50 hours per week for employees. This pilot study assessed 1) the acceptability of stair climbing as an interruption to sitting throughout working hours, 2) provide preliminary data of the effects on glucose and lipid profiles. Methods: Participants (n = 16) were randomised to intervention and control groups. For the intervention, a continuous 4-floor stair climb and descent at self-selected pace was performed eight times.day-1 spread evenly over the working day. A prompt to climb was presented on the participant’s computer 8-times.day-1. A log sheet recorded floors climbed in response to each prompt and total weekly steps were measured with pedometers. Blood samples were collected pre and post intervention to test effects on fasting glucose and OGTT, triglycerides, and total (TC), LDL and HDL cholesterol. Experimental participants were interviewed at the end of the study. The Wilcoxon signed rank test was used to compare the median changes (pre-post) of the dependent variables. Results: On average, the experimental group climbed 121 floors.week-1 when prompted. There were significant reductions in fasting blood glucose, TC and LDL, as well as the derived measures of ‘bad’ cholesterol and the TC/HDL ratio in the experimental group. Post-experimental interviews indicated that the interruption to sitting was well tolerated. Conclusion: Prompted stair climbing activity had impacts on health outcomes and was found acceptable to employees at work.Trial registration: Ethics for this study was approved by Science, Technology, Engineering and Mathematics Ethical Review Committee, University of Birmingham with ethics reference number ERN_15_0491.
Fabrication of Conductive Polyaniline Nanomaterials based on Redispersed Cellulose Nanofibrils
Authors: Wang Ping , Liu Hefang , Gao Wenhua , Zeng Jinsong , Wang Bin , Xu Jun , Wang Zhiwei 
Published: May 2022

Abstract
Dewatering or drying of diluted cellulose nanofibril suspensions is an effective way for reducing the costs of transportation and storage. In this study, poly(vinylpyrrolidone) (PVP) was introduced into a redispersing system of concentrated CNFs, and the obtained redispersed CNFs were used for fabricating CNF/PANI (polyaniline) nanomaterials by in situ polymerization method. The results showed that mechanical grinding with grinding gap of -20 µm was an effective way to redisperse the concentrated CNFs, especially when the PVP was added in the redispersing process. The conductivity of the redispersed CNF/PANI film reached 1.08 S/cm and the specific capacitance reached 118.3 F/g (at 0.3 A/g), when the concentrated CNFs were redispersed with 5% PVP. During the polymerization process, PVP facilitated the PANI coating on the CNFs uniformly as steric stabilizer. This study provided a basis for the application of redispersed CNFs in conductive nanomaterials area.
Design of Biomass-Based Composite Photocatalysts for Wastewater Treatment: A Review Over the Past Decade and Future Prospects
Authors: Pastre Marina Meloni Gória , Cunha Deivisson Lopes , Marques Marcia 
Published: May 2022

Abstract
Biomass-based composites (BCPs) have been investigated for more than one decade as photocatalysts for pollutants´ water treatment, however their technological application remains restricted. The systematic review performed aims to exhibit the latest advancement in photocatalytic degradation of pollutants in aqueous solution by BCPs synthesized with biomass and TiO2 and/or ZnO, and to identify the necessary steps to achieve BCPs large scale application. Multivariate data analysis approach was performed to identify trend relationships between the BCPs synthesis method, the experimental conditions, and the BCPs characteristics correlated with the observed removal efficiency and the photodegradation kinetics. The results indicated the relevance of adsorption processes on the pollutants removal efficiency, reflected by the principal component analysis (PCA) performed on all categories of pollutants (PCA_pol). Furthermore, the PCA applied to textile dyes (PCA_dyes) and pharmaceutical compounds (PCA_pharma) also indicate the influence of variables related to the composite synthesis (i.e. thermal treatment and time spent on BCPs synthesis) and photocatalytic experimental parameters (catalyst concentration, pollutant concentration and irradiation time) on the degradation kinetic accomplished by BCPs. The characterization of composites reveals that the specific surface area and the narrow band gap are key characteristics for BCPs to serve as a competitive photocatalyst. The stability and recyclability of the BCPs are also discussed as necessary properties to overcome the experimental/lab scale phase and to move to full-scale applications. Further investigations are recommended to assess the performance of BCPs when treating real water, compared to commercial catalysts, as well as cost evaluation.