bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pandemi Servisi ve Yoğun Bakımda Çalışan Sağlık Çalışanlarının Anksiyeteve Stres Düzeylerinin Değerlendirilmesi
Authors: YILDIZ Emel , ALKAN ÇEVİKER Sevil , TOKUR Murat Emre , KOÇAK Özlem , BATAŞ BİLGEÇ Sıdıka , YILDIRIMER Ayşe , BALCI Canan 
Published: April 2021

Amaç
Bu çalışmada, pandemi servis ve yoğun bakımlarında çalışan sağlık çalışanlarının, COVİD -19 salgınından etkilenme,anksiyete ve stres düzeylerinin değerlendirmesi sağlık çalışanlarının ruh sağlığının korunması ve desteklenmesi için alınacak önlemler açısından yol göstermesi amaçlandı.
Gereç ve Yöntem
Bu çalışma Yoğun Bakım Ünitesi(YBÜ) ve pandemi servislerinde aktif olarak çalışan tüm sağlık çalışanlarına yönelik anket çalışması olarak yapıldı. Çalışma gönüllülük esasına göre yapıldı. Çalışmaya katılan kişiye öncesinde bilgilendirme yapıldı. Katılımcılardan isim verilmeyecek şekilde; kişisel demografik verileri içeren bilgi formu, Algılanan Stres Ölçeği veBeckAnksiyeteÖlçeği’ni doldurmaları istendi.Anket formları SPSS20.0’eaktarılarak toplu değerlendirme yapıldı.Çalışmaya katılanların kişisel duygudurum değişikleri sorgulandığunda anket donuçlarına göre; 90(%8,5) kişinin yeterli koruyucu ekipman temin edebiliyor olmasına rağmen, 63(%59,4) kişinin çalışırken kendinizi güvende hissetmediği saptandı. 61(%57,5) kişinin en sık korkusunun ailesine enfeksiyon bulaştırma korkusu olduğu dikkat çekmiştir.
Bulgular
Çalışmaya toplam 106 gönüllü katıldı, 58 kadın 48 erkek, yaş ortalaması 30,12±11,2 yıl idi.Gruplar arasında Beck Anksiyete Ölçeği ve Algılanan Stres Ölçeği skorlarının karşılaştırılmasında; cinsiyet ve meslek grubu arasında istatistiksel anlamlılık saptanmazken, çalışılan birimin servis olması ve çalışma yılı 3 yıldan az olması durumlarında hesaplanan her 2 ölçeğin skorları anlamlı yüksek saptandı.
Sonuç
Bu bulgular, sağlık çalışanlarında devam eden psikolojik sıkıntının uzun vadeli zihinsel ve fiziksel sağlık üzerindeki olumsuz etkisini azaltmak için müdahalelerin geliştirilmesi ve uygulanması konusunda bilgi vermektedir. COVID-19 salgınından çıkarılan dersler, yöneticilerin kararveriken, bunun gibi halk sağlığı krizlerinde sağlık çalışanlarını korumasını öncelik olarak belirlemesidir. Bu bulguların, tüm kurumlardaki politikaları etkileyeceğini umuyoruz.
Advantages of a New Low-Cost Negative Pressure Wound Therapy Using the “Turtle VAC”
Authors: Barau Dejean J.M. Christina , Pean J.T. Marc-Alain , Ottesen Taylor D. , Woolley Pierre Marie , Qudsi Rameez A. , Dyer George S.M. 
Published: April 2021

Case:
We present a clinical case and technique guide demonstrating the use and effectiveness of a novel, low-cost negative pressure wound therapy (NPWT) device to achieve soft-tissue coverage in a 34-year-old patient with failed rotational flap and Masquelet technique on infected tibial nonunion. Local debridement was executed, NPWT initiated, and treatment culminated with complete wound healing.

Conclusion:
The “Turtle VAC” offers an effective low-cost alternative to commercially vacuum-assisted closure systems for post-traumatic wounds in low-resource setting of Haiti. Its use of available equipment makes NPWT accessible and can function as a bridge to definitive closure when primary wound closure is not possible and/or between debridement procedures.
Gut Bacterial Inhabitants of Open Nested Honey Bee, Apis Florea
Authors: Ganeshprasad D.N. , Jani Kunal , Shouche Yogesh S. , Sneharani A H 
Published: April 2021

Abstract
Honey bees are complex social system, which are highly dynamic having close interactions with their surrounding environment. Gut microbiota of honey bees has a major role in interaction behavior with its environment and health. Apis florea is the primitive among all the honey bees and are indigenous to Indian subcontinent. The study reports the identification and analysis of bacteria in the gut of wild species of honey bee, Apis florea, by culture-based and culture-independent methods. Cultured bacteria were identified and characterized by MALDI-TOF MS and 16S rRNA sequencing. A comprehensive analysis and identification of non-culturable bacteria were performed by 16S rRNA amplicon next generation sequencing. The sequence analysis approach classified gut bacteria into 5 bacterial phyla, 8 families and 10 genera in major. The dominant bacterial taxa identified in Apis florea belonged to Prevotellaceae (52.1%), Enterobacteriaceae (42.7%) and Halobacteriaceae (1.3%). The dominant bacteria belonged to genera of Prevotella, Escherichia-Shigella, Natronomonas, Methylobacterium, Pantoea, Bifidobacterium, Enterobacter, Klebsiella, Lactobacillus and Nitrobacter belonging to phyla Bacteroidetes, Proteobacteria, Euryarchaeota, Actinobacteria, and Firmicutes. Many of these bacteria identified herewith are not reported for their occurrence in others species of Apis genus making this study of highly relevance with respect to bee microbiome.
Analysis of Anterior Segment Parameters and Wavefront Aberrations of the Myopic Eyes Using Two Scheimpflug-based Devices: The Pentacam vs Sirius
Authors: Mirzajani Ali , Vishteh Rasoul Amini , Masroor Rezvan 
Published: April 2021

Abstract
Purpose: To measurements, comparisons, and agreement of the anterior segment parameters and wavefront aberrations of the myopic eyes through the Pentacam and Sirius tomography systems. Methods: The Pentacam and Sirius were used to measure the corneal anterior segment tomography and wavefront aberrations of the myopic eyes with a mean age of 25.66±3.77 (range from 19 to 31 years).Various parameters such as the anterior keratometric reading of the flattest meridian K1, anterior K2, thinnest corneal thickness, corneal surface asphericity Q-value, anterior chamber depth, Root mean square (RMS) of higher-order aberrations, RMS of lower-order aberrations, and RMS of total aberrations were analyzed. Also, the agreement between the Pentacam and Sirius was assessed by calculating 95% limits of agreement and plotting the Bland–Altman graphs.Results: One eye of 99 myopic subjects (49 men, 50 women) aged 19 to 31 years was randomized and evaluated. All measured parameters of the Pentacam and Sirius tomography systems were statistically significant (p<0.001) in comparison with each other expect the mean values of K1, K2, and thinnest corneal thickness (p>0.05). The thinnest corneal thickness findings showed the poorest agreement (95 %limit of agreement from -8.71 to 24.21) and the greatest difference (mean difference: 7.75).Conclusions: The differences between the gained measurement results of the devices suggests that they should not be used interchangeably for corneal tomography imaging in clinical practice and surgery decision.
Diagnostic Timelines and Self-reported Symptoms of Patients With Lung and Gastrointestinal Cancers Undergoing Radiation Therapy
Authors: Yannitsos Demetra , Barbera Lisa , Al-Rashdan Abdullah , Grendarova Petra 
Published: April 2021

Abstract
Background: Previous studies have found that patients with lung cancer report worse patient experience compared to other tumour groups. Reasons that may negatively impact patient experience include delays in diagnosis as well as inadequate symptom management. The purpose of this study was to compare the diagnostic timelines and symptom reports of patients with lung and gastrointestinal (GI) cancers. Methods: This study included patients diagnosed with lung or GI cancers who attended a radiation oncology (RO) consultation and/or received radiation treatment between May and August 2019. Data collected included demographics, dates of diagnostic time points and self-reported symptom scores across 3 time points. A descriptive analysis was completed and the median number of days between time points were compared between tumour groups.Results: Patients with lung cancer experienced a greater diagnostic delay compared to GI patients, specifically regarding the median number of days between the first investigative test and biopsy, with a difference of 21 days between tumour groups (p<0.05). From RO consultation to the first treatment review appointment, 25% and 4% of lung and GI patients, respectively, reported worsening of symptoms. A greater proportion of lung patients reported worse symptoms scores during treatment compared to GI patients. This varied by specific symptom. Conclusions: Delays in receiving a diagnosis and worse symptom experience during radiation treatment were demonstrated in this study and may indicate potential targets to improve patient experience.
Single Image Super Resolution of Blurred Natural Images Using Blur Kernel Estimation Combined with Super Resolution Convolution Neural Network
Authors: P LISHA P , K Jayasree V 
Published: April 2021

Abstract
Image De-blurring and super-resolution (SR) are computer vision tasks aiming to restore image detail and spatial scale, respectively. Despite the significant improvement in image quality resulting from improvement in optical sensors and general electronics, camera shake blur significantly undermines the quality of hand-held photographs. We evaluated the state-of-the-art super-resolution convolution neural network(SR-CNN) architecture and proposed a new architecture for SR application inspired by SR-CNN combined with De-blurring. This paper focus super resolution of a de-focussed and motion blurred natural images. Unlike most de-blurring methods that attempt to solve an inverse problem through a variational formulation, deblurring method applied in this work directly estimates the blur kernel by modeling statistical irregularities in the power spectrum of blurred natural images. Extensive experiments indicate that the proposed method not only generates remarkably clear HR images, but also achieves compelling results in PSNR, MSE and SSIM quantitatively.
Determinants of Knowledge, Attitudes, and Practices of Frontline Health Care Givers During the First Wave of Covid-19 in Africa: a Multi-centers Online Cross-sectional
Authors: Kamabu Larrey Kasereka , Lekuya Hervé Monka , Kasusula Bienvenu Muhindo , Sikakulya Franck Katembo , Valimungighe Moise Muhindo , Nganza Sifa Katungu , Butala Eric Sadiki , Sikiminya Zacharie Muhindo , Kathaka Louange Maha , Munyambalu Dalton Kambale , Longombe Thérèse Yenyi Ahuka , Katsioto Agnès Kavira , Mumbere Bienfait , Nzanzu Adelard Kalima , Kavughe Frederic , Kambere Thaddée Katembo , Robinson Ssebuufu 
Published: April 2021

Abstract
Background: During its first wave in sub-Saharan Africa, there was insufficient understanding of the new pandemic of coronavirus disease 2019 (COVID-19) among frontline health care professionals that has led to a misidentification, and mistreatment of affected patients, with a potential risks of contacting and spreading the disease. This study was carried out to determine the knowledge, attitude, and practices (KAP) of frontline health care givers (HCGs) towards COVID-19 in Africa and their related factors.Methods: This was a multi-centers online cross-sectional study conducted over a 3-months study-period using a google survey link among front lines African HCGs in the COVID-19 response units within 28 African countries. Bivariate and Multivariate logistic regression were used to assess the associations between co-variates. Statistical significance was set at p≤ 0.05 and 95% confidence interval. Results: There a total of 518 out of 588 approached HCGs participated in the study from 28 African countries. Overall, 496 (96%) had bad practice score, and 405 (78%) had positive attitude regarding COVID-19. The related factors of KAP towards COVID-19 identified were the lack of self- esteem and self-confidence in the management of COVID-19 (aOR: - 0.17, 95% CI=-0.766 to -4.33, p >0.05), Ignorance (aOR: 1.55, 95% CI=1.003 to 2.402, p <0.048), lack of knowledge updates on COVID-19 (aOR: 1.81, 95% CI=1.105 to 2.951, p <0.018).Conclusions: Majority of the frontline HCG has an overall good knowledge and attitude towards the disease across the African continents regardless of their level of study. However, the KAP is influenced negatively by the lack of self-esteem, self- confidence, ignorance, and insufficiency of frequent update of COVID-19 information. Promoting psychological support in addition to regular trainings could help to enhance the KAP of frontline HCG in African region.
Using the Deep Convolutional Neural Network to Evaluate Thyroid Nodules With Atypia of Undetermined Significance/follicular Lesion of Undetermined Significance Cytology: Multicenter Study
Authors: Youn Inyoung , Lee Eunjung , Yoon Jung Hyun , Lee Hye Sun , Kwon Mi-Ri , Moon Juhee , Kang Sunyoung , Kwon Seulki , Jung Kyong Yeun , Park Young Joo , Park Do Joon , Cho Sun Wook , Kwak Jin Young 
Published: April 2021

Abstract
To compare the diagnostic performances of physicians and a deep convolutional neural network (CNN) predicting malignancy with ultrasonography images of thyroid nodules with atypia of undetermined significance (AUS)/follicular lesion of undetermined significance (FLUS) results on fine-needle aspiration (FNA). This study included 202 patients with 202 nodules ≥ 1cm AUS/FLUS on FNA, and underwent surgery in one of 3 different institutions. Diagnostic performances were compared between 8 physicians (4 radiologists, 4 endocrinologists) with varying experience levels and CNN, and AUS/FLUS subgroups were analyzed. Interobserver variability was assessed among the 8 physicians. Of the 202 nodules, 158 were AUS, and 44 were FLUS; 86 were benign, and 116 were malignant. The area under the curves (AUCs) of the 8 physicians and CNN were 0.680-0.722 and 0.666, without significant differences (P > 0.05). In the subgroup analysis, the AUCs for the 8 physicians and CNN were 0.657–0.768 and 0.652 for AUS, 0.469-0.674 and 0.622 for FLUS. Interobserver agreements were moderate (k=0.543), substantial (k=0.652), and moderate (k=0.455) among the 8 physicians, 4 radiologists, and 4 endocrinologists. For thyroid nodules with AUS/FLUS cytology, the diagnostic performance of CNN to differentiate malignancy with US images was comparable to that of physicians with variable experience levels.
Chronic Fatigue Syndrome in Canadian Adults: Profiling Demographic and Socioeconomic Factors, Mental Health Diagnoses and Conditions, and Life Experiences
Authors: Renouf Alysha , Fowler Ken , Wareham-Fowler Stacey 
Published: April 2021

Abstract
Background: Chronic fatigue syndrome (CFS) is a debilitating condition characterized by a complex assortment of biological, psychological, and functional issues. In the literature, while a debate persists in terms of CFS etiology and treatment options, very rudimentary queries also linger in terms of associated CFS demographic and socioeconomic characteristics, comorbid psychiatric diagnoses, and potentially deleterious life challenges and experiences which, if more definitively clarified, may help elucidate illness origin and management. Methods: Using data extracted from the Canadian Community Health Survey – Mental Health (CCHS-MH) (Statistics Canada, 2013) for adults aged 20 to 64 years of age, the current study developed a descriptive statistical profile of demographic, socioeconomic, psychiatric, and life experience characteristics of Canadians reporting a diagnosis of CFS. Further, a series of two-factor Chi Square tests were carried out to determine whether featured variables were significantly more likely for CFS sufferers as compared to adult Canadians without a CFS diagnosis. Results: It was observed that those reporting a CFS diagnosis were significantly more likely to be female, between the ages of 45-64, divorced or separated, living alone, unemployed or unable to work, and of relatively low personal income. CFS sufferers were also more likely to have comorbid psychiatric diagnoses including lifetime and 12-month Major Depressive Disorder (MDD), Generalized Anxiety Disorder (GAD), and substance dependence, as well as self-reported posttraumatic stress disorder (PTSD), attention deficit hyperactivity disorder (ADHD), sleeping troubles, and reported histories of childhood physical and sexual maltreatment. Conclusions: A very compelling demographic, socioeconomic, psychiatric, and life history profile of CFS sufferers emerged in this study, corroborating many findings in the literature. Since this study involved a national assessment CFS across Canada, it may afford some lucidity and insight in terms of etiological implications, and hence more precision in diagnosis, and potentially innovative treatment options. Future topics of inquiry, and potential limitations are also considered.
A New Explainable Robust High Order Intuitionistic Fuzzy Time Series Method
Authors: Kocak Cem , Eğrioğlu Erol , Bas Eren 
Published: April 2021

Abstract
Fuzzy time series forecasting methods based on type-1 fuzzy sets continue to have largely proposed in the literature. These methods use only membership values in determining fuzzy relations. However, Intuitionistic fuzzy time series models basically use both membership values and non-membership values. So, it can be considered that the using of intuitionistic fuzzy time forecasting models will be able to increase the forecasting performance in the fuzzy time series analyses because of the fact that more information is used. Therefore, Intuitionistic fuzzy time series models have started to use for solving the real-life series in the fuzzy time series literature since 2013. In this study, a new explainable robust high order intuitionistic fuzzy time series forecasting method are proposed based on new defined model. In the proposed method, the algorithm of intuitionistic fuzzy c-means is used for fuzzification of observations and a robust regression method is used to determine fuzzy relations. Because the robust regression is employed to define fuzzy relation, all inputs of the method can be explainable and they can be statistically tested and commented. Applications of this study have been made by using energy data of Primary Energy Consumption (PEC) between 1965 and 2016 for 23 countries in the region of Europe&Eurasia. Forecasting performances obtained from these applications by using the proposed method have been compared with performances of some other time series method in the literature and the results have been discussed.
CuCrO4 Nanoparticles Composite Modiﬁed Carbon Paste Electrodes for Sensitive Detection of Paracetamol: A Cyclic Voltammetric Study
Authors: R PRIYANKA S , K.P Latha 
Published: April 2021

Abstract
An electrochemical sensor containing carbon paste electrode (CPE) for paracetamol is developed and modified with the CuCrO4 Nanocomposites. The synthesised CuCrO4 Nanocomposites was discussed with X-Ray Diffraction studies. Experimental studies such as scan rate, concentration and pH was studied by using cyclic voltammetric method. The CuCrO4 Nanocomposites modified CPE (CuCrO4 Nanocomposites MCPE) exhibited excellent electrocatalytic response towards the oxidation of paracetamol (PC). Over potential for oxidation of PC was minimised which considerably enhance the current response on the CuCrO4 Nanocomposites MCPE when compared with bare carbon paste electrode (BCPE). Scan rate study for PC discuss the process of the electrode. Linear calibration curve was obtained with the range of 2 μM to 14 μM having the detection limit and quantification limit value of PC is discussed with CuCrO4 Nanocomposites MCPE. This study shows that electrochemical oxidation of PC at CuCrO4 Nanocomposites MCPE is pH dependent process.
A Study on Intelligent Grinding Systems With Industrial Perspective
Authors: Kuppuswamy Ramesh , Jani Fungai , Naidoo Samiksha , Jongh Quintin 
Published: April 2021

Abstract
The digitization thrust on high value manufacturing and services opens-up new opportunities for ensuring; total system uptime, reliability, and efficiency particularly for mission-critical high value assets. The digitization process evolves intelligent manufacturing systems (IMS) which transforms maintenance into predictive reliability for achieving consistent quality throughout manufacturing process. This article unveils the intelligent grinding systems (IGS) for challenging grinding applications. For a more in-depth understanding and analysis of an entire intelligent grinding system, particular aspects within the system were discussed. These include Grinding Models, Process Design Algorithms, Process Monitoring, Process Control, Feature Extraction and Feature Correlation engines. The main focus, especially in the early 2000s, was mainly database development and parameter selection, which then shifted to process monitoring and control as particular technology advances were made. In the various goals that were investigated, it was evident that researchers were aiming for an online real-time system. This notion was driven by the advances in artificial intelligence and improved monitoring sensors, for example, acoustic emission sensors and even other unusual sensors like microphones for more economical and improved data collection and analysis. Although tremendous strides have been made, a substantial amount of work is still required in achieving a fully-fledged real-time intelligent grinding system. The comprehensive findings on IGS system concludes that the real time process update has been improved from few hours to milliseconds.
Differentiation Between Sepsis Survivors and Sepsis Non-survivors Through Blood Serum Metabolomics: A Proton Nuclear Magnetic Resonance Spectroscopy (NMR) Study.
Authors: S Naveen kumar M , Kumar Virendra , R Jagannathan N , Sinha Sanjeev , Mewar Sujeet , Kumar Pradeep 
Published: April 2021

Abstract
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Septic shock is a subset of sepsis with underlying circulatory cellular and metabolic abnormalities associated with higher mortality rates. However, a detailed understanding of sepsis is still limited. The present study reports the differences in the metabolic profile of serum samples of patients with sepsis compared to healthy controls using Nuclear Magnetic Resonance (NMR) spectroscopy. The study also compares the NMR metabolomics on day zero of admission among sepsis survivors (those who survived till day seven) and sepsis non-survivors (those who succumbed on day zero). Furthermore, the different metabolites in serum were analysed by univariate and multivariate analysis, ROC analysis, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) methods. Metabolites with VIP score (>1·0) were considered as potential biomarker/s to discriminate sepsis survivors from non- survivors at day zero. Data showed that phenylalanine was significantly higher in sepsis patients compared to healthy controls, whereas isoleucine, valine and histidine were significantly lower in sepsis patients compared to healthy controls. Also, non-survivors had higher serum levels of creatine, phosphocreatine, choline, betaine, tyrosine, histidine and phenylalanine concentrations than survivors. These findings suggest that the metabolic alterations at day zero may predict the survival of patients with sepsis. The significant differences seen in metabolites concentration of amino acids, phospholipids and creatine may be used as early prognostic markers to discriminate non-survivors from survivors of sepsis patients at day zero. Our findings indicate that the metabolite alterations are associated with the progression of the disease.