bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acute Traumatic Pathologies (Especially Rib Fractures) Based on Age and Gender in Patients with Blunt Thoracic Trauma: a CT Study
Authors: Torun Ebru , Yuksel Yavuz 
Published: April 2022

Abstract
Aim:To analyze the differences in acute traumatic pathologies (especially rib fractures) based on age and gender in patients with blunt thoracic trauma.Material and Method:411 patients aged 18-years or more with acute thoracic traumatic pathology on CT-examination were included in the study. The patients were classified into 3 age groups: Group-1:18-44 years, Group-2:45-69 years, and Group-3:70 years or more. Rib fractures were classified into 3 groups based on their level on the coronal plane(upper(1st-4th ribs), medium(5th-8th ribs) and lower(9th-12th ribs)) and axial plane(anterior, lateral and posterior).Results:Rib fractures were found to be more common in men(69%) to women(53%)(p=0.002). The incidence of fractures was seen to increase with age(p=0.001; r=615).Rib fractures were most commonly found in the middle ribs(5th-8th ribs)in all-age-groups.The incidence of fractures in the upper ribs was significantly lower in the advanced age than the other age groups(p=0.002).Fractures were least commonly found in the anterior part of the rib in all-age-groups.Rib fractures were observed at a higher rate in the lateral part in young adults unlike the other age groups(p=0.001).A significant difference was found between the age groups in favor of young adults(group 1) in terms of the presence of parenchymal contusion without rib fracture(p=0.014).Conclusion;Rib fractures are more common in men than women.Fractures possibility of in the upper rib structures is lower in the advanced age group.Fractures in the lateral part of the ribs are more common in young people.One should be aware of the possibility of parenchymal contusion without a rib fracture in the young age group.
ddRADseq -mediated detection of genetic variants in sugarcane
Authors: Molina Catalina , Vera Pablo Alfredo , Aguirre Natalia Cristina , Filippi Carla Valeria , Puebla Andrea Fabiana , Poltri Susana Noemí Marcucci , Paniego Norma Beatríz , Acevedo Alberto 
Published: April 2022

Abstract
Sugarcane (Saccharum sp.), a world-wide known feedstock for producing sugar, bioethanol, and energy, has an extremely complex genome due to its highly polyploid and aneuploid nature. A double digestion restriction site-associated DNA sequencing protocol (ddRADseq) was tested in four commercial sugarcane hybrids and one high-fibre biotype for the detection and potential application of single nucleotide polymorphisms (SNPs) in genetic breeding. This genotyping approach compared two Illumina sequencing platforms and different filtering schemes, with and without a reference genome. A greater number of reads were obtained with Illumina platform Novaseq6000 than with Nextseq500, being this consistent with a greater number of SNPs determined with high accuracy. Additionally, more SNPs were found using a denovo pipeline compared to de refmap pipeline of the Stacks software. Longer read size, paired-end reads and 4M reads per individual represent the most efficient combination in recovering SNPs. The optimal combination of filter parameters varied depending on the different matrices created based on the different platforms. In both matrices, the highest number of SNPs localized in the longest chromosome 1, whereas the fewest landed in the shortest chromosomes 5 and 8. Multivariate comparisons of the SNPs matrices showed closer relationships among commercial hybrids than with the high-fibre biotype. Functional analysis of the obtained SNPs, performed with the Variant Effect Predictor, demonstrated the appearance of variants throughout the sugarcane genome. The pipeline applied in this study can be exploited to identify useful molecular markers that can be used in sugarcane breeding programs to reduce selection cycles.
Comparative evaluation, effectiveness and validity of 2 systems in the surgical planning of dentofacial deformities
Authors: Piombino Pasquale , Abbate Vincenzo , Sani Lorenzo , Troise Stefania , Committeri Umberto , Carraturo Emanuele , Maglitto Fabio , De Riu Giacomo , Vaira Luigi Angelo , Califano Luigi 
Published: April 2022

Abstract
Purpose
Over 70% of patients suffering from dentofacial deformity mention esthetics as the biggest issue pushing them to look for orthodontic and orthognathic treatment. At present, several software for computer-aided surgery have been released on the market, this surgical planning software allow surgeons to manipulate digital representations of hard and soft tissue profile tracings and subsequently morph the pretreatment image to produce a treatment simulation. The aims of this study was to investigate and find the difference between 2 of the most used digital software in the pre-surgical planning for patients affected by dentofacial deformities.
Methods
That was granted by using the following parameters: usability, validity, timing, accessibility, efficacy and predictability of the pre-surgical planning and the software costs. Ethical approval, to access and use the data, was obtained from the Federico II Research Ethic Committee (371/2019, approved in 21/02/2020).
Results
Analyzing the results obtained from our study, it is correct to define both software tools useful and valid in the digital surgical planning for treatment of patients with dentofacial deformities. Each software has negligible differences in performance that do not in any way affect the success of the surgical planning.
Conclusion
Despite a slight difference regarding the costs for the purchase of the license, which see the IPS software slightly more expensive than the Dolphin software, the IPS software represents not only a valid alternative to the most popular and tested Dolphin Imaging software, but it is even inclined to evaluate it better in terms of accuracy, effectiveness, and reliability.
The First Record in Turkey of Pachycrepoideus vindemmiae as a parasitoid of Ceratitis capitata: Molecular identification
Authors: Tiring Gülsevim , Tusun Adnan , Kalkan Çağlar , Satar Serdar 
Published: April 2022

Abstract
Ceratitis capitata Wied. (Diptera: Tephritidae) is a polyphagous species and a serious pest worldwide. In the present study, surveys for associated C. capitata parasitoids were conducted in the Adana province of Turkey. Our finding represents the first record in Turkey of Pachycrepoideus vindemmiae Rondani (Hymenoptera: Pteromalidae) as a parasitoid of C. capitata.
Performance Analysis of Full-Duplex Densely Distributed MIMO with Wireless Backhaul
Authors: Wan Ziqian , Pan Qijun , Li Jiamin , Zhu Pengcheng , Wang Dongming , You Xiaohu 
Published: April 2022

Abstract

In this paper, the spectral efficiency of a full-duplex densely distributed multi-input multi-output (MIMO) system with wireless backhaul is considered. In-band full-duplex (IBFD) backhauling, in which the backhual and access transmission take place on the same spectrum, is exploited for wireless backhauling to enable efficient spectrum reuse. However, the severe cross-tier interference and cross link interference (CLI) reduce the gains of IBFD backhauling. To evaluate the achievable spectral efficiency with imperfect channel state information (CSI), we propose a two-phase channel estimation scheme to estimate CSI for two wireless links, and the scheme estimates effective interference CSI between APs based on beamforming training to perfom interference cancellation at access points (APs). Given the estimated CSI, the closed-form expressions of the uplink and downlink achievable rates respectively with maximum ratio transmission (MRT) beamforming and maximum ratio combining (MRC) receivers are derived with Gamma approximation. Numerical results verify the accuracy of the derived closed-form expressions and the effectiveness of two-phase channel estimation scheme for interference cancellation. Besides, compared with half-duplex densely distributed MIMO systems, full-duplex systems with interference cancellation provide better performance.
A Novel Method for Prediction and Classification of Breast Cancer Using Deep Learning Techniques
Authors: N Krishna Veni N , V Preetha , K Meena , T Kamaleshwar , R Mayuri A V , Shareefunnisa Syed 
Published: April 2022

Abstract
Breast disease is the prevalent malignant growth in female all over the world and it is expanding in non-industrial nations, where most cases are analyzed late. Mammography remains the best symptomatic advance from a treatment standpoint, despite widespread use and investigation of these images. The main objective of this paper is to predict and classify the breast cancer using deep learning techniques. The extensive experiments are conducted on Wisconsin Demonstrative Bosom malignant growth (WDBC) dataset extricated from digitized pictures of Random MRI. Deep learning techniques such as Deep Neural Network (DNN), Recurrent Neural Network (RNN) and Local Linear Radial Basis Function Neural Network (LLRBFNN) are used for experimental investigation. The performance of the proposed approach is analyzed through accuracy, Jaccard index, Precision, Recall and F1 score.
Mapping the incidence of drug-induced liver injury worldwide: a systematic review and meta-analysis
Authors: Li Min , Wang Yu , Lv Tingting , Liu Jimin , Kong Yuanyuan , Jia Jidong , Zhao Xinyan 
Published: April 2022

Abstract
Background: Drug-induced liver injury (DILI), an increasing etiology of liver dysfunction in hepatology, its incidence has been variably reported worldwide. To better understand the disease burden hence make appropriate preventive and treatment strategies, we conducted this meta-analysis from global perspective.Methods: PubMed, EMBASE, Web of Science and Cochrane Library were searched for studies on the incidence of DILI published from inception to Aug 1, 2021. According to the predefined criteria, only population-based studies were included. Incidence was calculated as cases per 100,000 person-years with its confidence interval (CI) using random effects model. Results: A total of 31 studies were included. The overall incidence of DILI was 4.94 (95%CI: 4.05-5.83) per 100,000 person-years. Time-based cumulative meta-analysis suggested that the incidence of DILI had increased over time since 2010. It varied by regions: Asia had the highest incidence, at 17.82 (95%CI: 6.26-29.38) per 100,000 person-years, while America had the lowest, at 1.72 (95%CI: 0.48-2.95) per 100,000 person-years. All studies had a consistent result of higher incidence of DILI in elders; but comparable incidence between male and female (3.42 vs 4.64 per 100,000 person-years). As for the specific implicated drug(s), the incidence of statins induced liver injury was 11.30 (95%CI: 6.48-19.69) per 100,000 person-years, while the incidence among patients using antifungal drugs, antidepressants, paracetamol, antidiabetic, anti-tuberculosis, nonsteroidal anti-inflammatory drugs, anti-thyroid drugs and iron chelator ranged from 0.16 to 180.97 per 100,000 person-years. Conclusions: The incidence of DILI has been increasing since 2010 worldwide, with the highest incidence in Asia. Understanding the epidemiological characteristics of DILI aids in making specific strategies to deal with the emerging health problems.
Added value of 18F-FDOPA PET to the management of high-grade glioma patients after their initial treatment: a prospective multicentre study
Authors: Darcourt Jacques , Bourg Véronique , Gal Jocelyn , Schiappa Renaud , Blonski Marie , Almairac Fabien , Mondot Lydiane , Jeune Florence Le , Collombier Laurent , Kas Aurélie , Taillandier Luc , Verger Antoine 
Published: April 2022

Abstract
Background. Diagnostic value of 18F-fluoro-L-dihydrophenylalanine (18F-FDOPA) PET in patients with suspected recurrent gliomas is recognised. We conducted a multicentre prospective study to assess its added value in the practical management of patients suspected of recurrence of high-grade gliomas (HGG).Methods. Patients with a proven HGG (WHO grade III and IV) were referred to the multidisciplinary neuro-oncology board (MNOB) during their follow-up after initial standard of care treatment and when MRI findings were not fully conclusive. Each case was discussed in 2 steps. For step 1, a diagnosis and a management proposal was made only based on the clinical and the MRI data. For step 2, the same process was repeated considering the 18F-FDOPA PET results. A level of confidence of the decisions was assigned to each step. Changes in diagnosis and management induced by 18F-FDOPA PET information were measured. When unchanged, the difference in the confidence of the decisions was assessed. The diagnostic performances of each step was measured.Results. 107 patients underwent a total of 138 MNOB assessments. The proposed diagnosis changed between step 1 and step 2 in 37 cases (26.8%) and the proposed management changed in 31 cases (22.5%). When the management did not change, the confidence in the MNOB final decision was increased in 87 cases (81.3 %). Step 1 had a sensitivity, specificity and accuracy of 83%, 58% and 66% and step 2, 86%, 64% and 71% respectively.Conclusion. In case of equivocal MR findings, 18F-FDOPA PET adds significant information for the follow-up of HGG patients in clinical practice.
Effect Of Aerobic Exercises Along With Music Therapy On The Fatigue And Quality Of Life In Female With Thyroidectomy Following Thyroid Cancer: A Research Protocol
Authors: Saklecha Akshaya V. , Patil Shubhangi 
Published: April 2022

Abstract
Background-
Thyroid cancer, which manifests as a solid tumour cancer of the thyroid gland, is the most common endocrine cancer in women and the sixth most common cancer overall. Its prevalence has been rapidly rising in India, particularly among the younger population, with a rise in fatigue caused by cancer and poor quality of life in females following thyroidectomy.
Aim-
This experimental study protocol has been designed to evaluate the effect of Aerobic exercises along with Music Therapy on the fatigue and quality of life in female with thyroidectomy following thyroid cancer.
Methods-
The study's participants (n = 30) will be females who underwent thyroidectomy and meet the inclusion criteria. The participants will be enrolled in the study, ensuring that the six-week session is effectively completed. Aerobic exercises are combined with music therapy as the intervention. Fatigue and quality of life will be evaluated pre and post-treatment by using the Fatigue assessment scale and Rand SF-36 Questionnaire.
Conclusion-
This is a unique study, since a similar study has not yet been carried out. This study evaluates the effect of Aerobic exercises combined with Music Therapy by determining the fatigue caused by cancer and quality of life in females with post thyroidectomy following thyroid cancer.
“The Impact of Different Relationships on Infection Spread Using SEIR Models on Scale-freeNetworks with Behavioral Data”
Authors: Hase Daisuke , Hayashi Teruaki , Ohsawa Yukio 
Published: April 2022

Abstract
SARS-CoV-2 has spread worldwide and has caused corona-related pandemics since the end of 2019. To deal with these unknown phenomena, it is effective to discuss and apply the results obtained through simulations to policy-making to control epidemics. Several network-based simulations have been developed in previous studies. Among these, understanding the relationship between humans and the spread of infection is of interest. In our study, we propose the SEIR model on a scale-free network (SFN), focusing on two different relationships: “intended and unintended contacts”. In our model, the former relation is represented as contact with adjacent nodes in a network, and the latter relation is represented as contact with any node in a network. We represent the number of people human meet per activity (η), and the rate of “intended contact” among the people who meet (β). As a result, we reveal that the activity of people in society with larger η or smaller β has a greater impact on the spread of infection. We also discuss which behaviors spread the infection based on our simulation and behavioral data from the questionnaire survey. Our insights are helpful in formulating behavioral guidelines or deregulation policies for pandemics.
Economic feasibility of organic and conventional fish farming systems of Indian major carps
Authors: Beg Mirza Masum , Moulick Sanjib , Mandal Basudev , Roy Subha M. 
Published: April 2022

Abstract
In the present study, economic feasibility of culturing Indian major carps (IMC) in conventional culture system (CCS) and organic culture system (OCS) was evaluated considering three consecutive years of culture (2010, 2011 and 2012) in experimental ponds with surface area of 0.015 ha, each measuring 0.015 ha. Highest production to the tune of 19 tonnes of Indian major carps per hectare was obtained in OCS. Further, in case of OCS, apart from fish production, vermicompost to the tune of 45,000 kg ha-1 in the first year, and 90,000 kg ha-1 from second year is achievable considering a vermicompost unit with capacity of 200 tonnes per annum. Economic analysis of the culture systems showed that highest net present value (NPV) of 1.06 million US$, a payback period of one year and nine months and an internal rate of return (IRR) of 51 % are achievable per hectare of fish culture pond for OCS assuming the project period to be 10 years. Sensitivity analysis of various costs performed for OCS revealed that profitability of the organic fish farming investment is most sensitive to the total fish production and sale price of the organic fishes. In terms of production of fish, vermicomposting, water quality dynamics, quality of fish and economics, organic culture system is proved to be the best available technique.
Design and Computational Fluid Dynamics of a Heavy Duty Diesel Engine
Authors: Arıca Sena 
Published: April 2022

Abstract
In this study, 1500 hp power class a 12-cylinder Diesel engine, the combustion and emissions are analyzed with the help of Three Dimensional (3D) Computational Fluid Dynamics (CFD). Maximum in-cylinder pressure, temperature, NO x (Nitrogen Oxides) and soot are obtained. AVL FIRE EseD 3D software is used for the study. Simulation is made for only compression, combustion and expansion strokes when input and output valves are closed. Compression pressure and temperature values are taken as the initial conditions for the simulation from One Dimensional (1D) AVL BOOST program. As there are no measurements available, numerical results are examined for different mesh structures and turbulence models. One eighth of a cylinder, 45 degree sector, is used as the computation domain by making the use of periodic boundary conditions. A mesh study was carried out using a coarse and a 4 times finer mesh. The study revealed that the differences between the coarse and fine mesh results were within the acceptable limits. After that the turbulance model study was done on the coarse mesh. The standard eddy-viscosity based k-ԑ and non-linear k-ζ-f turbulence models were investigated in terms of NO x and soot emissions. Finally computations were performed for different combustion models coupled with the k-ζ-f turbulance model.
Prognostic significance of serum albumin stratified by total cholesterol in patients with coronary artery disease: based on a published research
Authors: Yao Yu-Feng , Chen Zhen-yu , Luo Tian-Yi , Dou Xiao-Yan , Chen Hai-Bo 
Published: April 2022

Abstract
Background
Patients with coronary artery disease (CAD) usually show relatively poor long-term prognosis. Serum albumin level showed negative prediction of poor prognosis of CAD, while cholesterol level was also suggested poor prognosis, but most previous studies on albumin levels and prognosis in patients with CAD have not considered the effect of cholesterol levels on outcomes. Thus, we aim to investigate the prognostic impact of albumin levels under different cholesterol level groups.
Methods
We analyzed the data of 204 patients from October 2014 to October 2017 for newly diagnosed stable CAD. Albumin and cholesterol were measured at admission. The outcome was major adverse cardiac events (MACE). The median duration of follow-up was 783 days. COX models were performed to evaluate the prognostic significance of serum albumin on MACE.
Results
Higher serum albumin indicated lower risk of MACE (HR = 0.37, P = 0.0462). In participants whose total cholesterol level less than 200 mg/dL, the risk of MACE was related to lower serum albumin (HR = 0.19, P = 0.0072), but not significantly in the others (HR = 3.16, P = 0.3392).
Conclusion
In clinical practice, when using serum albumin to evaluate the prognosis of patients with cardiovascular disease, the influence of cholesterol on the evaluation results should be fully considered.
Diabetic Retinopathy Risk Prediction in Patients with Type 2 Diabetes Mellitus using a Nomogram Model
Authors: Wang Qian , Zeng Ni , Tang HongBo , Yang Xiaoxia , Yao Qu , Liao Xin , Zhang Lin , Zhang Han , Zhang Ying , Nie Xiaomei 
Published: April 2022

Abstract
Background: The primary purpose of this study is to develop diabetic retinopathy (DR) hazard nomogram in a Chinese sample of type 2 diabetes mellitus patients (T2DM).Methods: From January 2018 to May 2020, we constructed a model containing 213 diabetic retinopathy patients, and we used the basic statistics and biochemical indicator test to assess the DR risk in T2DM patients. The patient data is used to evaluate diabetic retinopathy risk using R software and a minimal comparative contraction and selected operator (Lasso) predictive model. In Multivariable cox regression, examined the risk factors for developing diabetic retinopathy (DR) to reduce the Lasso penalty. The validation model, decision curve research, and C-index were all tested on the calibration plot. By counting probabilities, it utilized the bootstrapping methodology to check external validity.Results:Lasso chose eight predictive variables from sixteen independent variables: illness duration, BMI, fasting plasma glucose (FPG), glycated hemoglobin Alanine aminotransferase (HbA1c), homeostatic model assessment-insulin resistance (HOMA-IR), triglyceride(TG), total cholesterol(TC), and Vitamin D3 (vitd-t3). Its c-index = 0.848 (95 percent confidence interval:0.798-0.898), indicating that the model can make accurate predictions. In interval validation, high scores (0.816) are still possible from an analysis of a diabetic retinopathy nomogram's decision curve to predict diabetic retinopathy of greater than 2%.Conclusion: We are developing non-parametric techniques to predict the risk of diabetic retinopathy based on disease duration, BMI, FPG, HbA1c, HOMA-IR, TG, TC, and vitd-t3.