bluuebunny/crossref_metadata_2025 huggingface dataset:
A CASE OF INTRA-OPERATIVE INJURY TO LEFT MAIN PULMONARY ARTERY REPAIRED WITH A PERICARDIAL PATCH
Authors:   Essex Cardiothoracic Center, Basildon Hospital, Mid and South Essex EssexTrust - United Kingdom., Asfour Ayman , Sudhir Bhusari ,   Essex Cardiothoracic Center, Basildon Hospital, Mid and South Essex EssexTrust - United Kingdom., Yasin Mukadam ,   Essex Cardiothoracic Center, Basildon Hospital, Mid and South Essex EssexTrust - United Kingdom., Mahmoud Gehad ,   Essex Cardiothoracic Center, Basildon Hospital, Mid and South Essex EssexTrust - United Kingdom., Abouelela Youssef ,   Essex Cardiothoracic Center, Basildon Hospital, Mid and South Essex EssexTrust - United Kingdom.
Published: February 2022

Introduction: Patients with central lung tumours often undergo surgery, offering them a chance of cure. With central lung tumours, there is always the dreaded risk of injury to the left main pulmonary artery (PA) and rupture of the anterior segmental artery, known as the artery of sorrow. Case Presentation: A 75-year-old lady with a background of breast cancer presented to our cardiothoracic centre because computed tomography (CT) of the chest revealed a left lung lesion of 5 x 4 x 3.7 cm, in contact with oblique fissure, radiological staging T3 N2 M0, which was later shown to be highly avid on positron emission tomography (PET-CT). Resection via thoracotomy was done, due to dense attachment to PA, Left PA defect was noted after resection which was repaired with a pericardial patch with no post-operative complication. Discussion: In the event of tumours invading the PA, it is safe to divide the tumours completely and repair the PA using a patch if there are any complications. Conclusion: We performed a repair of the PA using a pericardial patch and reconstruction of the PA using a pericardial patch, and evidence shows that there is excellent long-term survival associated with this.
A STUDY ON CONSUMERS PREFERENCE ON ECO-FRIENDLY PRODUCTS IN COIMBATORE CITY
Authors:   Principal & Guide, Department of Commerce, Pioneer College of Arts and Science College, Coimbatore, India., Mahendran S. , Chitra R. ,   Research Scholar, Department of Commerce, Pioneer College of Arts and Science College, Coimbatore, India.
Published: February 2022

Today, the world is increasingly worried about the impact of environmental degradation. Due to the activities of human beings, there is an increase in pollution of environment. Hence the Government on protecting the nature has encouraged Green Marketing and took steps to initiate Eco-friendly products in between general public. Currently there are numerous recyclables, nontoxic eco-friendly products. On one hand consumers are currently aware of environmental protection and on the other hand aware of health issues occurring due environmental pollution. The convenient sampling method has used for the selection of the samples of the study. Through structured questionnaire, the primary data is collected from the 125 consumers on various dimensions such as below male and female. On this background the present study focusses on the objective of consumer preference towards Eco-friendly products. The study found that there is positive relationship between the factor influencing to purchase the eco-friendly products and consumer preference on those products.
Diagnosis and analysis of electric power steering rattle noise based on multiple coherence method
Authors: Gong Xiaoping , Li Peiran , Xia Tiequan , She Yangjia , Chen Jingchang , Zheng Tingting
Published: February 2022

Electric power steering (EPS) system is becoming the primary source of Electric Vehicle (EV) noise due to absence of classic power train. The rattle noise produced by EPS, which is easily discernible when driving. Since the conventional subjective evaluation approach makes it difficult to identify the source, it is required to establish an objective way to solve such an issue. In this paper, the principle of multiple coherence method is first addressed analytically, and then is employed to analyze the vibration signal acquisition from EPS different points, meanwhile, combine with in-car sound signal, to accurately identify the specific location.
Simulation and experimental analysis of tip response of tapping mode atomic force microscope
Authors: Peng Anjie , Chen Yaxin , Guan Rui , Wei Zheng
Published: February 2022

In this study, the vertical deflection responses of tapping mode atomic force microscope (TM-AFM) micro-cantilever tip are obtained by simulation and experiment. The results show that, under the blocking of the sample on one side, the steady-state response of the tip is still a sinusoidal form almost symmetrical about the equilibrium position. Furthermore, from the perspective of energy dissipation of the micro-cantilever system, the phases of two surfaces with different properties are simulated under different background dissipation. The result shows that eliminating partial background dissipation can increase the phase contrast between the two surfaces. These results are of significance for understanding the tip response and phase optimization in TM-AFM.
Dynamical characteristics and vibration behavior of the novel composite dry separator
Authors: Li Hongxi , Zhou Enhui , Shen Ling , Yin Zixin , Bo Zhang
Published: February 2022

At present, the composite dry separation technology is a successful technology in coal gangue discharge. In this paper, the mechanical structure of the novel composite dry separator (NCDS) was revealed, and the dynamic characteristics and vibration behaviors of the separator were deeply discussed by combining theoretical modeling and experimental testing methods. The dynamic mechanics mathematical model of the NCDS was established. The dynamic experiment of the separator was carried out by using the vibration testing system to reveal the space-time characteristics of the NCDS and compared with the theoretical results. The results show that the error between experimental data and theoretical data is less than 6.78 %. This work should be useful for optimal design and efficient operation of the composite dry separator.
Effect of defect distribution on thermal expansion coefficient of eutectic composite ceramics
Authors: Du Zhihong , Yang Runxiu , Wu Mian
Published: February 2022

Based on Eshelby’s equivalent inclusion theory, the four-phase model and the interaction direct derivative estimate, the prediction model of effective thermal expansion coefficient of composite containing multiple types of inclusion in anisotropic matrix was established. The effective thermal expansion coefficient of eutectic composite containing defects was calculated. And then the influence of defects and inclusions on the effective thermal expansion coefficient is discussed in detail. The results show that the influence of inclusions will be amplified by defects when there are multiple inclusions in the matrix. Therefore, the interaction direct derivative estimate cannot accurately predict the influence of defect distribution on thermal expansion coefficient of eutectic composite ceramics.
A study on the acoustic characteristics of the sound-absorbing structure in single-column UHV Shunt reactors
Authors: Fan Chao , Nie Jingkai , Tian Yi , Ma Yuhui , He Qiang , Han Yu
Published: February 2022

Single-column UHV shunt reactors usually generate large noises with long wavelengths. For this reason, the noises along the substation boundaries may exceed the standards. We aimed at noise control of single-column UHV shunt reactors in the present study. Based on the noise characteristics of single-column UHV shunt reactors, we employed an acoustic impedance test apparatus and studied the influences of different structural parameters on the acoustic performance of the compound impedance sound-absorbing structure. The results showed that the compound impedance sound-absorbing structure had a better sound-absorbing performance at low frequencies if a microperforated plate was introduced with basalt cotton as the filler. Besides, as the surface density, thickness, size of the dorsal cavity, and size of the intermediate cavity increased, the sound absorption coefficient at low frequencies increased. After the surface density increased to a certain level, the increase rate of the sound-absorbing performance dropped suddenly. Moreover, the intermediate cavity achieved a lesser enhancement of sound-absorbing performance at low frequencies than the dorsal cavity.
Kinematic and dynamic analysis of three-mass oscillatory system of vibro-impact plate compactor with crank excitation mechanism
Authors: Korendiy Vitaliy , Kachur Oleksandr , Gursky Volodymyr , Gurey Volodymyr , Maherus Nadiia , Kotsiumbas Oleh , Havrylchenko Oleksandr
Published: February 2022

The paper is aimed at studying the motion conditions of the vibratory compacting machine equipped with the crank excitation mechanism characterized by the changeable geometrical parameters. Unlike numerous scientific publications devoted to similar subject, the novelty of the present research consists in the improved design of the vibro-impact plate compactor and the developed mathematical model describing the motion conditions of the compactor’s oscillatory system. It is proposed to use the crank mechanism to excite the oscillations of the impact body acting upon the frame of the compacting plate at a certain angle to the surface being compacted. The main idea of this improvement is to provide the self-propelling locomotion conditions of the compactor and to reduce the pushing force that must be applied by the operator. The research results obtained by means of the numerical modeling in Mathematica software describe the dynamic behavior of the compactor’s oscillatory system under different geometrical parameters of the crank excitation mechanism (crank eccentricity, impact gap, etc.). The material of the paper can be of significant practical interest for the designers and engineers dealing with the development of new vibratory compactors and the improvement of compacting technologies.
IL-10 (-819C/T), TNFA (-30G/A) and ENOS (-786T/C) Polymorphisms Modulating the Outcome Related to Mental Disorders in Crack Addicted Users
Authors: dos Santos Ana Caroline Melo , dos Santos Barbara Rayssa Correia , dos Santos Bruna Brandão , de Moura Edilson Leite , Neto Abel Barbosa Lira , Pereira e Silva Aline Cristine , de Farias Karol Fireman , de Medeiros Alves Verônica , Nardi Antônio Egídio , de Souza Figueiredo Elaine Virgínia Martins
Published: February 2022

Background:

Cocaine/crack use affects immune system molecules and development of mental disorders has been identified.

Objective:

To investigate the relationship of polymorphisms in the TNFA (-308G/A), IL-10 (-819C/T) and ENOS (-786T/C) genes with mental disorders in cocaine and crack users.

Methods:

A case-control study was carried out, which included 107 cocaine and crack users and 115 controls who never used healthy cocaine and crack. The SNPs in the TNFA (-308G/A), IL-10 (-819C/T) and ENOS (-786T/C) genes were genotyped by real time PCR.

Results:

As for the individuals included in this study, the average age of 31.4 years (± 8.59). We identified that the G/A genotype to TNFA (-308) (OR = 0.24; p = 0.03) and the A allele (OR = 0.30; p = 0.03) were associated with reduced risk for dysthymic disorder. The T allele of the IL-10 (-819) polymorphism was associated with decreased risk of developing panic disorder (OR = 0.44; p = 0.01), while the C allele was correlated with an increased risk for alcohol dependence (OR = 1.97; p = 0.04), alcohol abuse (OR = 1.81; p = 0.04) and psychotic syndrome (OR = 2.23; p = 0.01). C/C genotype was correlated with increased chances of developing current psychotic syndrome (OR = 4.23; p = 0.01).

Conclusion:

Our results suggest that genetic polymorphisms promote susceptibility or promote protection for clinical phenotypes of psychiatric comorbidities in cocaine and crack users and be considered as good prognostic markers.
Seroprevalence of SARS-CoV-2 Antibodies and its Risk Factors in the North-West of Iran: A Population-Based Cross-Sectional Study
Authors: Zandian Hamed , Moghadam Telma Zahirian , Habibzadeh Shahram , Pourfarzi Farhad
Published: February 2022

Background:

The aim of this study is to determine the prevalence of SARS-CoV-2 seropositivity and to examine the risk factors for seropositivity among the people of Ardabil, in the northwestern part of Iran.

Methods:

A community-based survey was carried out involving 1013 participants (690 from urban and 323 from rural areas), who were selected based on the cluster sampling method. Iran’s FDA-approved Pishtaz Teb SARS-CoV-2 ELISA kits were used to assess the presence of SARS-CoV-2-specific immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies in serum samples. Weighted seroprevalence, the number of infections, infection to case ratio (ICR), and infection fatality ratio (IFR) were estimated after adjusting for survey design and serial test performance. The factors associated with IgG/IgM positive were determined using logistic regression.

Results:

Between May 20 and June 7, out of 1013 survived people, 123 (12.11%) were IgG positive, 49 (4.8%) were IgM positive and 122 (12.04%) were having both IgG and IgM antibodies. The highest frequency of positive test for IgG and IgM antibodies was found in people with diabetes, followed by people with obesity and heart disease, respectively. Multivariate logistic regression showed old age (2.04, 95% CI: 1.02 to 11.74), male sex (1.52, 95% CI: 1.15 to 2.13), urbanization (1.40, 95% CI: 1.02 to 3.22), higher family number (9.44, 95% CI: 1.69 to 52.13), obesity (2.14, 95% CI: 1.11 to 5.86), NCDs (1.22, 95% CI: 1.01 to 2.16), having symptoms (3.02, 95% CI: 1.64 to 8.61), traveling (2.70, 95% CI: 1.76 to 10.8), history of contact with infected patients (2.38, 95% CI: 1.08 to 7.03), as factors associated with IgG/IgM positive test.

Conclusion:

Around the mid of May 2020, SARS-CoV-2 seroprevalence was low among Ardabil's adult population. Several factors have been found to be associated with SARS-CoV-2 seroprevalence, which should be considered by policymakers to set policies against the SARS-CoV-2 pandemic.
Autograft and implant cranioplasty in pediatric patients
Authors: Aprianto Dirga Rachmad , Parenrengi Muhammad Arifin , Utomo Budi , Fauzi Asra Al , Subagyo Eko Agus
Published: February 2022

The use of implants in pediatric cranioplasty is still debatable. Many surgeons prefer to use autologous bone grafts than implants due to previous concerns that implants have a higher risk of infection, allergic response, and are not biocompatible as an autologous bone graft. However, recent studies showed that several implant materials have a similar infection rate following cranioplasty or might be lower compared to autologous bone. Moreover, several studies also reported a high rate of bone flap resorption in autograft cranioplasty, particularly in patients below the age of 8 years, thus requiring revision surgery with an implant as a substitute in most cases. Implant materials also have advantages in several conditions that make them more suitable than autologous bone grafts. This literature review is expected to give information about the type of implant materials that can be used as an alternative to substitute autologous bone grafts in certain conditions.
Legal protection for child victims of sexual violence crimes
Authors: Myranika Annie
Published: February 2022

The purpose of this research is to find out, namely: (1). Forms of legal protection for children victims of crime and sexual violence` (2). Barrier factors in providing legal protection for children who are victims of sexual violence crimes. A method with a qualitative approach that describes the phenomena that occur. Data collection techniques through: (1). In-depth interviews of key volunteers to obtain data (2). Survey at the location for phenomena that appear at the research location. (3). Literature study to complement the data with new theories that focus on research. Conclusion: (1). Providing legal protection for children who are victims of sexual crimes, with regulations and the Child Protection Act number 35 of 2014. by providing children's rights. (2). As an obstacle in legal protection for children victims of sexual crimes, that legal instruments and legal regulations are norms that are still biased and have multiple interpretations and there is no coherence in any regulations or legislation on child protection.
PENGARUH JENIS PELARUT EKSTRAK DAUN PINUS TERHADAP AKTIVITAS ANTIBAKTERI STAPHYLOCOCCUS AUREUS DAN APLIKASINYA PADA SABUN PADAT
Authors:   Universitas Padjadjaran, Aisy Rifda Rihhadatu , Putri Selly Harnesa ,   Universitas Padjadjaran, Yuliana Tri ,   Universitas Padjadjaran
Published: February 2022

Daun pinus berpotensi sebagai antibakteri alami. Aktivitas antibakteri dipengaruhi oleh variasi fitokimia yang dihasilkan setiap ekstrak dengan berbagai jenis pelarut. Tujuan penelitian ini untuk mengetahui pengaruh jenis pelarut ekstrak terhadap aktivitas antibakteri Staphylococcus aureus. Daun pinus dimaserasi menggunakan pelarut air, etanol 96%, dan n-heksana. Uji antibakteri ekstrak dilakukan dengan metode difusi sumuran. Ekstrak beraktivitas antibakteri tertinggi diaplikasikan menjadi sabun padat dengan konsentrasi ekstrak 1 gram, 1.5 gram; dan 3 gram, selanjutnya dilakukan evaluasi karakteristik (organoleptik, pH, stabilitas busa), uji hedonik dan iritasi. Ekstrak air memiliki zona hambat tertinggi (19.39 mm) dibandingkan dengan ekstrak etanol (11.44 mm) dan ekstrak n-heksana (tidak ada). Formulasi sabun berbagai variasi konsentrasi ekstrak daun pinus sebagai bahan aktif beraktivitas antibakteri menghasilkan sabun padat yang berwarna kuning kehijauan hingga berwarna coklat tua, memiliki aroma khas sabun dengan pH berkisar 10-11, stabilitas busa sekitar 57.33 – 66%, tidak menimbulkan iritasi serta panelis lebih menyukai sabun padat dengan penambahan 1 gram ekstrak daun pinus.
The Box—eHealth in the Outpatient Clinic Follow-up of Patients With Acute Myocardial Infarction: Cost-Utility Analysis
Authors: Treskes Roderick Willem , van den Akker-van Marle M Elske , van Winden Louise , van Keulen Nicole , van der Velde Enno Tjeerd , Beeres Saskia , Atsma Douwe , Schalij Martin Jan
Published: February 2022

Background

Smartphone compatible wearables have been released on the consumers market, enabling remote monitoring. Remote monitoring is often named as a tool to reduce the cost of care.

Objective

The primary purpose of this paper is to describe a cost-utility analysis of an eHealth intervention compared to regular follow-up in patients with acute myocardial infarction (AMI).

Methods

In this trial, of which clinical results have been published previously, patients with an AMI were randomized in a 1:1 fashion between an eHealth intervention and regular follow-up. The remote monitoring intervention consisted of a blood pressure monitor, weight scale, electrocardiogram device, and step counter. Furthermore, two in-office outpatient clinic visits were replaced by e-visits. The control group received regular care. The differences in mean costs and quality of life per patient between both groups during one-year follow-up were calculated.

Results

Mean costs per patient were €2417±2043 (US $2657±2246) for the intervention and €2888±2961 (US $3175±3255) for the control group. This yielded a cost reduction of €471 (US $518) per patient. This difference was not statistically significant (95% CI –€275 to €1217; P=.22, US $–302 to $1338). The average quality-adjusted life years in the first year of follow-up was 0.74 for the intervention group and 0.69 for the control (difference –0.05, 95% CI –0.09 to –0.01; P=.01).

Conclusions

eHealth in the outpatient clinic setting for patients who suffered from AMI is likely to be cost-effective compared to regular follow-up. Further research should be done to corroborate these findings in other patient populations and different care settings.

Trial Registration

ClinicalTrials.gov NCT02976376; https://clinicaltrials.gov/ct2/show/NCT02976376

International Registered Report Identifier (IRRID)

RR2-10.2196/resprot.8038
Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach
Authors: Hasan Abul , Levene Mark , Weston David , Fromson Renate , Koslover Nicolas , Levene Tamara
Published: February 2022

Background

The COVID-19 pandemic has created a pressing need for integrating information from disparate sources in order to assist decision makers. Social media is important in this respect; however, to make sense of the textual information it provides and be able to automate the processing of large amounts of data, natural language processing methods are needed. Social media posts are often noisy, yet they may provide valuable insights regarding the severity and prevalence of the disease in the population. Here, we adopt a triage and diagnosis approach to analyzing social media posts using machine learning techniques for the purpose of disease detection and surveillance. We thus obtain useful prevalence and incidence statistics to identify disease symptoms and their severities, motivated by public health concerns.

Objective

This study aims to develop an end-to-end natural language processing pipeline for triage and diagnosis of COVID-19 from patient-authored social media posts in order to provide researchers and public health practitioners with additional information on the symptoms, severity, and prevalence of the disease rather than to provide an actionable decision at the individual level.

Methods

The text processing pipeline first extracted COVID-19 symptoms and related concepts, such as severity, duration, negations, and body parts, from patients’ posts using conditional random fields. An unsupervised rule-based algorithm was then applied to establish relations between concepts in the next step of the pipeline. The extracted concepts and relations were subsequently used to construct 2 different vector representations of each post. These vectors were separately applied to build support vector machine learning models to triage patients into 3 categories and diagnose them for COVID-19.

Results

We reported macro- and microaveraged F1 scores in the range of 71%-96% and 61%-87%, respectively, for the triage and diagnosis of COVID-19 when the models were trained on human-labeled data. Our experimental results indicated that similar performance can be achieved when the models are trained using predicted labels from concept extraction and rule-based classifiers, thus yielding end-to-end machine learning. In addition, we highlighted important features uncovered by our diagnostic machine learning models and compared them with the most frequent symptoms revealed in another COVID-19 data set. In particular, we found that the most important features are not always the most frequent ones.

Conclusions

Our preliminary results show that it is possible to automatically triage and diagnose patients for COVID-19 from social media natural language narratives, using a machine learning pipeline in order to provide information on the severity and prevalence of the disease for use within health surveillance systems.
Diagnostic Accuracy of Rapid Antigen Tests in Asymptomatic Close Contacts of Individuals With Confirmed SARS-CoV-2 Infections in the Herat Province of Afghanistan in 2021: Cross-sectional Study
Authors: Amirnajad Ahmad
Published: February 2022

Background

Early detection and isolation are key strategies for containing the COVID-19 pandemic in resource-poor countries, including Afghanistan, where access to the vaccines is limited. These strategies could reduce burden on the health care system, which is already weak because of conflicts and war. The first COVID-19 case in Afghanistan was detected in the Herat province close to Iran. Currently, both rapid antigen tests and reverse transcription–polymerase chain reaction (RT-PCR) have been used for the diagnosis of COVID-19 in the Herat province.

Objective

This study aimed to assess the accuracy of the rapid antigen test in asymptomatic close contacts of individuals with confirmed COVID-19 in the Herat province.

Methods

This was a cross-sectional study conducted by contact-tracing surveillance teams in the Herat province. The teams listed 200 asymptomatic close contacts of individuals with confirmed COVID-19, and 2 separate nasopharyngeal specimens were collected. The rapid antigen test (Biosensor) was used on the fourth and seventh day after contact, and the second specimen was sent to the reference lab for RT-PCR testing. Descriptive statistics were calculated. The sensitivity and specificity of the rapid antigen tests were compared with those of RT-PCR.

Results

The median age of the contacts was 35 years (range 11-90 years), and 138 (70%) were women. Of the 196 (98%) contacts for whom RT-PCR was used, 105 (53%) had confirmed results for SARS-CoV-2 infection. Only 30 (15%) cases of SARS-CoV-2 infection were confirmed by the rapid antigen test, which indicates a sensitivity of 20.1%. However, the specificity of the rapid antigen test was high (90%).

Conclusions

The sensitivity of the rapid antigen tests was relatively low to confirm COVID-19 in asymptomatic close contacts of individuals with confirmed COVID-19. Therefore, if resources allow, RT-PCR would be the best choice with its high sensitivity rate to diagnose COVID-19 in asymptomatic close contacts of individuals with confirmed COVID-19. Further study with a large sample size is needed.
НОВОЕ ПОКОЛЕНИЕ РЕШЕНИЙ ДЛЯ КОРПУСИРОВАНИЯ ИНТЕГРАЛЬНЫХ СХЕМ. Часть 3
Authors: Фелтон К. , Вертянов Д. , Евстафьев С. , Сидоренко В.
Published: February 2022

Рассматриваются масштабируемость и широкий функционал, необходимый для разработки сложных корпусов ИС. Обсуждаются требования к передаче проекта на производство, то есть условия предоставления безошибочных производственных данных по изготовлению и сборке.
ТЕСТОВЫЕ И КАЛИБРОВОЧНЫЕ СИСТЕМЫ ДЛЯ СЧИТЫВАЮЩЕЙ ЭЛЕКТРОНИКИ КРЕМНИЕВЫХ ДЕТЕКТОРОВ. Часть 1
Authors: Воронин А. , Кудряшов И.
Published: February 2022

В статье обсуждаются основные вопросы, связанные с проведением тестирования и калибровкой считывающей электроники кремниевых детекторов для экспериментов в области физики высоких энергий и физики космических лучей, принципы построения и структурные решения для тестовых систем и аппаратно-программных комплексов для контроля СЭ.
Antibiotic Resistance Pattern of Uropathogens among Non Pregnant Women: A Hospital based Cross Sectional Study from Odisha
Authors: Mohanty Jyoti Ranjan , Pradhan Alisha , Jena Sunita , Padhi Bijaya Kumar , Das Padmalaya , Soren Dhananjay
Published: February 2022

Urinary tract infection (UTI) is one of the most delicate health problem affecting women with severe complications and the rising antimicrobial resistance exerts a massive influence in treating UTIs. The objectives of this study was to identify the uropathogens causing UTI in non-pregnant women and their antibiotic resistance pattern. The study was undertaken in the outpatient department (OPD) of Obstetrics and Gynaecology, Capital Hospital, Bhubaneswar, Odisha during April 2015 to March 2016. A total of 766 midstream urine samples (MSU) was collected from women of different age. Out of 766 urine samples, 323 (42.1%) samples were culture positive for UTI with prominent bacteriuria. E.coli was found to be the most common isolate (54.79 %) followed by Staphylococcus sp. (22.6%), Enterobacter sp. (17.64%) and Klebsiella sp. (4.95%). Amongst various clinical symptoms, burning and itching during urination was found to be the most common (69.97%) symptoms followed by abnormal discharge of the vagina (45.20%) and the presence of cloudy urine (24.46%). E.coli the most predominant uropathogen identified was found to be highly susceptible towards a low level of resistance towards nitrofurantoin (11.8%) followed by amikacin (20.03%) and gentamicin (22.0%). Our study revealed that E. coli isolates were the predominant uropathogens and showed escalating model of resistance to the general available antimicrobial agents which are frequently used by the physicians in hospitals and private practice.
In silico Analysis of Allium sativum Bioactive Compounds against Effector Protein from Pseudomonas syringae pv. pisi
Authors: Subbanna Shwetha , Basalingappa Kanthesh M , Maheshwari M.S. , Gururaj H.B. , Gopenath T.S.
Published: February 2022

Allium sativum commonly known as Garlic is a familiar herb, highly studied for its valuable medicinal properties. The main objective involved in the current research is to analyze inhibitor and antibacterial action of bioactive compounds (ligands) present in the methanolic extract of Allium sativum bulbs against phytopathogen protein (receptor) through molecular docking. The effector protein AvrRps4 (4B6X) from phytopathogen Pseudomonas syringae pv. pisi, a protein responsible for Effector triggered immunity (ETI) activation and to subvert host responses in Pea plant was selected as protein target. The docking interactions between opted ligands and target protein, with ampicillin as control was done using PyRx software tool and analysed using Discovery studio 3.1 Visualiser. The outcomes obtained from in silico analysis suggested that the bioactive compound namely Diethyl 3-methyl-5-[(2,2,2-trifluoroacetyl)amino]thiophene-2,4-dicarboxylate bind effectively showing -5.7 binding energy value in comparison with antibiotic ampicillin which showed binding energy -5.8 value. This research study concluded that the bioactive compounds from methanolic extract of Allium sativum bulbs displayed a potential inhibitory activity against effector AvrRps4 protein exhibiting antibacterial properties and may be considered as possible substantial lead molecules in future prospects.
Dynamic Seismic Analysis of Multi Storey Buildings in Seismic Zone V
Authors: Akhtar Mohsin Aakib Shamim
Published: February 2022

Abstract: In India, multi-storied buildings area unit sometimes created because of high value and deficiency of land. Earthquake could be a phenomenon which might generate the foremost harmful forces on structures. Buildings ought to be created safe for lives by correct style and particularisation of structural members so as to possess a ductile sort of failure. To protect such civil structures from significant structural damage, the seismic response of these structures is analyzed along with wind force calculation and forces such as support reactions and joint displacement are calculated and included in the structural design for a vibration resistant structure. The primary objective is to make associate earthquake resistant structure by enterprise seismal study of the structure by static equivalent methodology of study and do the analysis and design of the building by using STAAD PRO software in both static and dynamic analysis Keywords: Dynamic Seismic Analysis, Staad.Pro.
Privatization in India
Authors: Gupta Muskan
Published: February 2022

Abstract: Privatization generally is defined as the process of transfer of ownership, it can also be permanent or just for the years for which a particular contracted has been drafted between the parties. It is basically a route from public ownership to private ownership. On the other side it is also a strategy that provides advantage to a few at the price of many. In the 1960's and 1970's academicians, economists and politicians favored state ownership over personal possession within the production and provision of products and services. By the tip of the 1980's, however, there was a reversal of public policy from state domination of the assembly and provision of products and services to non-public ownership and operation. This was due partly to what the globe Bank observed as “state failure”, that was characterized by inefficient service delivery, unprofitable SOEs, high government debt, and stagnant economic process rates. Consequently, privatization caught on in several countries as a policy tool to foster potency, encourage investment, free public resources for investment in infrastructure and social programs to boost economic process and spatial arrangement equity. This paper also discusses the causes and reasons for privatization to happen in India and what are its pros and cons.
A Review: RFID Smart Parking System Using IOT
Authors: Charles Joel
Published: February 2022

Abstract: These technologies are RFID readers, RFID writers, RFID barcode readers, RFID smart sensors, and RFID controllers. In this study, a solution was provided to the problems encountered in parking management systems using technology. RFID.RFID readers, RFID tags, computers, barriers, and software are used as the main components of RFID technology. The software was managed for the management, control, transaction reporting, and operation of parking lots located in different parts of the city. Check-in and check-out operations will be controlled using RFID readers, tags, and barriers. Thanks to this technology, personnel costs will be significantly reduced. In the future, it will be possible to see unattended, safe, and atomized parking lots operating with RFID technology. Check-in and check-out will be processed quickly without having to stop the cars in order to avoid traffic jam problems during these processes. Drivers will not have to stop at traffic points and parking tickets will be out of order when checking in and out. Ticket stuffing problems will also be avoided for ticket processing machines. Vehicle owners will not have to make the payment each time they leave, so faster traffic will be possible, and since there will be no waiting at check-in and check-out, it will avoid gas formation resignation. An atomized revenue tracking system, a car tracking system for charging and a power station were developed and used the parking lot location system. Instead of parking cars on the streets, a more modern and faster parking system has been developed. Keywords: IOT, Nodemcu, Rfid module, LCD display.
A Case Study on Usage of Actual Soil Condition below Multi-Storied Building under Seismic Loading at Indore City
Authors: Bhorhari Mr. Raghavendra , Vishwakarma Mr. Arvind
Published: February 2022

Abstract: The people try to live in high rise structures due to increase in the demands of high rise structure with architectural impact. Soil profile beneath the structure also plays an important role to make the superstructure along with the sub-structure on its location. A Structure is said to acceptable if it satisfies the design criteria and hold itself in the same location to oppose the lateral forces. To show the importance of the soil below the construction area, soil investigations were carried out at Indore city. Total 11 bore hole database has used in this research. We have analyzed about different bore holes location for efficient building construction and effectiveness of residential apartment. After observing the necessary needs and fixing the objectives, we have created 11 (G+6) models and different cases named as CaseL1 to Case L11. The input parameters of soil profile used in this research is based on a part of Indore city area. After analysis of output parameters, the main points have been noted down the project concluded that efficient location for construction will be Case L with least result parameters under seismic loads. Keywords: Transverse Direction, Soil Profile, Residential Apartment, Soil Investigation
Hybrid Tabu Search and Genetic Algorithm Imputation Approach for Incomplete Data
Authors: Khusnul Khotimah Bain , Kustiyahningsih Yeni , Miswanto Miswanto
Published: February 2022

The common problem for data collection is happening missing value during the data collection and processing process that the quality of the data testing is decreased. A computational based technique for dealing with missing values, namely Genetic Algorithm Imputation (GAI). The usage was used to estimate the dataset's missing values. GAI generates the optimal set of missing values with the acquisition of information as a function of fitness to measure individual solutions' performance. GAI conducts continuous searching until the missing criteria value is found according to best fitness. So, it is trapped in optimal conditions temporarily. The improvement of GAI with tabu search is known as TS-GAI, that strength is two metaheuristic techniques modified at the mutase stage to distract the local optima's search.  In applying missing values, this technique works better when many possible values are used instead of the mixed attribute having missing values. Because the new generation chromosome values generate many opportunities to make up for the missing values. The experimental results show that the TS-GAI shows better performance on 30% MV with a fitness value of 0.212. It converges at 159 iterations. Generally, TS-GAI is a faster iteration than simple GAI and it has a lower RMSE level than other imputation techniques.
Visitors come to experience science: towards a non-obtrusive evaluation method based on immersive virtual reality
Authors: Morais Carla , Moreira Luciano , Teixeira Ana , Aguiar Teresa , Coelho António , Pereira Vasco , Jacinto Alexandre , Varzim Marta , Paiva João C. , Rosa Miriam
Published: February 2022

This paper focuses on developing and assessing a non-obtrusive and transformative method, based on virtual reality, to evaluate science communication projects in science centres. The method was tested using deep-sea cutting-edge scientific content. We applied a mixed design, with 72 adult participants randomly assigned to experimental conditions (with/without exhibition exposure). Results showed that the exhibition promoted a better understanding of science. The non-obtrusive measures on awareness and engagement were positively related with questions posed via questionnaire and interview. The study adds theoretical and empirical support to the design and implementation of non-obtrusive and transformative evaluation experiences in science exhibitions in science centres and museums.
On Purely Hermitian R-complex Finsler Space with (α, β)-Metric
Authors: Venkatesha K. S. , Narasimhamurthy S. K. , Chandru K.
Published: February 2022

In the present paper we established some interesting results on purely Hermitian R-complex Finsler space with (α, β)-metrics, Firstly we characterize the conditions for the (α, β)-metric F = p α2 + εβ2 to be a purely Hermitian. Then determined the fundamental metric tensor, its inverse and determinent of the above metric. Further obtained Chern-Finsler connection coefficients and analysed necessary conditions under which an purely Hermitian R-complex Finsler space with (α, β)-metric to be Berwald, Kahler and strongly Kahler also given some examples.
Study of Properties of Several Kinds of Hyperideals in Ordered Ternary Semihypergroups
Authors: Changphas Thawhat , Davvaz Bijan
Published: February 2022

A non-empty subset S together with an associative function f from S × S×S into the family of all non-empty subsets of S is called a ternary semihypergroup. In this paper, we consider a semihypergroup (S, f) besides a binary relation ≤, where ≤ is a partial order relation on S such that satisfies the monotone condition. This structure is called an ordered ternary semihypergroup. We introduce and investigate the notions of bi-hyperideal and quasi-hyperideal in ordered ternary semihyperroups. In particular, we prove that an ordered ternary semihypergroup is left and right simple if and only if it does not contain proper bi-hyperideals
Effect of Thermal Stresses and Reduced Differential Transform on Bending of The Rectangular Plate
Authors: Sutar Chandrashekhar S. , Patil Sandip N.
Published: February 2022

The bending of the rectangular plate exists for a large length comparing with its width as we have considered the simply supported plate. Also, it gets the accuracy, if the plate is attached between enough distance from the ends. This paper concern with the study of bending moment in the rectangular plate by using the thermal stresses. In this paper, we have considered the mathematical model of the unsteady state three-dimensional heat conduction equation for a thick rectangular plate with non-zero temperature initially. We have determined the thermal stresses and the bending moment in the rectangular plate by using the reduced differential transform method. The results are discussed by considering the special cases for copper material. Also, results are shown graphically. The graphs are drawn by using mathematical software Scilab.
Application of Jaccard Distance Measure for IVIF MCDM Problems
Authors: Vulimiri Anusha , Veeramachaneni Sireesha
Published: February 2022

This paper proposes an approach to solve Multiple Criteria Decision-making (MCDM) problems when the data given by expert is Interval-Valued Intuitionistic Fuzzy (IVIF) information. A decision-making model is constructed by using the distance measure: Normalized Jaccard distance measure. The robustness of the model is illustrated and validated through numerical example. Further, the problem of choosing best e-learning tool in higher education is considered as a case study.
factores determinantes de la transparencia de los gobiernos electrónicos en la divulgación de información económica-financiera
Authors: Vargas Díaz César Daniel , El Housin Helal Ouriachen , Villca Copali Eloy Wilson
Published: February 2022

Las Tecnologías de Información y Comunicación, y específicamente Internet, han permitido a los gobiernos mantener un canal de comunicación permanente con los ciudadanos, mediante el cual se persigue una mayor participación de éstos y una mejora en la transparencia y la rendición de cuentas, reduciendo así las posibilidades de corrupción. En este contexto, la presente investigación tiene un doble objetivo. De un lado, valorar el grado de información económica y financiera pública que los gobiernos centrales de los países de la región centroamericana difunden por medio de sus sitios Web. Y de otro, identificar factores del entorno que puedan asociarse con el nivel de información económica financiera pública divulgada mediante Internet.
modalidades de desarrollo laboral y la satisfacción de los trabajadores
Authors: Alfaro Sacre Jorge Luis , Hernández Celis Domingo
Published: February 2022

El problema se ha identificado en la falta de satisfacción laboral en los trabajadores de Lima Metropolitana. En el contexto del problema de la investigación, sin duda un aspecto principalísimo es la pregunta general del trabajo: ¿De qué manera las modalidades de desarrollo laboral pueden facilitar la satisfacción laboral de los trabajadores en Lima Metropolitana? Luego de la problemática, deviene la alternativa de solución que se presenta en el trabajo y que ha sido fruto del tratamiento metodológico y teórico y que está contenida en la hipótesis general: Las modalidades de desarrollo laboral facilitan en grado razonable la satisfacción laboral de los trabajadores en Lima Metropolitana. En el mismo contexto ha sido necesario disponer de un propósito a lograr y el mismo viene con la presentación del objetivo general: Determinar la manera como las modalidades de desarrollo laboral pueden facilitar la satisfacción laboral de los trabajadores en Lima Metropolitana. En promedio el 90% de los encuestados considera que las modalidades de desarrollo laboral facilitan en grado razonable la satisfacción laboral de los trabajadores en Lima Metropolitana.
Utilizando as redes sociais como metodologia para divulgação de conteúdo educativo em Saúde Única
Authors: Selmer de Moura Emelly , Luiza de Godoy Lima Anna , Aparecido da Silva Douglas , Facci de Carvalho Ligia , Paula Vidotto Magnoni Ana , Lemos Freire Roberta , Teles Caldart Eloiza
Published: February 2022

A saúde única é o entendimento de que saúde humana, animal e ambiental estão conectadas e são dependentes. O conceito de saúde única, entretanto, ainda não é amplamente disseminado, o que faz com que uma boa parcela da população não tenha acesso a informações sobre o assunto. Pensando nisso, o projeto de extensão em medicina veterinária, ‘Educa Saúde Única’, da Universidade Estadual de Londrina -UEL, definiu como seu objetivo produzir materiais didáticos para serem compartilhados em redes sociais. Observou-se que a população com idade entre 18 e 34 anos foi a que mais consumiu o conteúdo produzido e que o público idoso e infanto-juvenil foi o que teve menos acesso às informações compartilhadas. Entende-se que há uma necessidade de produzir materiais com linguagem simples e atrativa para ampliar o alcance ao público. Para as crianças e adolescentes, recomenda-se a criação de conteúdo interativo, com atividades lúdicas, enquanto para o público mais experiente a criação de grupos e comunidades dentro das redes sociais poderia aumentar sua interação com o conteúdo.
Can SARS-CoV-2 infection trigger Rheumatoid Arthritis? A case-report
Authors: Bouzid Sirine , Miladi Saoussen , FAZAA ALIA , Abdelghani Kawther Ben , Laatar Ahmed
Published: February 2022

A 38-year-old female developed chronic joint pain one month after
testing positive for SARS-CoV2. Physical examination revealed warmth and
tenderness of the wrists and small joints of the hands. Rheumatoid
factor and anti-CCP were elevated. Hands MRI showed synovitis of small
joints. The patient was diagnosed with rheumatoid arthritis (RA).
Spatial predictive modeling of land degradation in a semi-arid region: proposing a new conceptual framework
Authors: Abolhasani Azam , Zehtabian Gholamreza , Khosravi Hassan , Rahmati Omid , Alamdarloo Esmail Heydari , D’Odorico Paolo
Published: February 2022

The present research aimed to develop a new conceptual framework to
predict land degradation (LD) susceptibility based on net primary
production and machine learning domains. The annual NPP maps related to
2001-2020 were obtained using MOD17A3 and the trend of NPP changes was
taken into account to investigate the occurrence and non-occurrence
sites of land degradation in a region under the semi-arid climate in
Iran. An inventory map of LD was generated based on occurrence and
non-occurrence locations of degradation. The locations were randomly
separated as the training (70%) and testing (30%) dataset to evaluate
the goodness-of-fit and predictive efficiency of models. Next, fifteen
geo-environmental factors including temperature, precipitation, slope,
aspect, altitude, land use, normalized difference vegetation index,
normalized difference salinity index, vegetation soil salinity index,
normalized difference moisture index, visible and shortwave infrared
drought index, electrical conductivity and sodium adsorption ratio of
groundwater, groundwater table, and annual depletion of groundwater
resources were selected as LD predictive variables. Four advanced
machine learning techniques were performed to model LD susceptibility.
Finally, the predictive efficiency of the applied models was measured
utilizing the area under the ROC curve and true skill statics. The
results indicated that the random forest model, with AUC = 0.84 and TSS
= 0.64, showed the highest efficiency for predicting LD in our area of
study followed by BRT, CART, and SVM. This study successfully proposed a
new LD modeling framework based on the trend of NPP changes and can be
used in different parts of the world.