bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Workplace Social Courage on Life Satisfaction: A Scale Adaptation
Authors: MERT İbrahim Sani , KÖKSAL Kemal
Published: June 2022

Although the concept of courage has a long history, it is a latterly popular topic in organizational behavior. It is also an essential attitude or behavior for employees in whistleblowing, voice, unethical pro-organizational behavior. A valid and reliable scale is needed to reveal the effect of courage in different cultures. The study aims to adapt the workplace social courage scale to Turkish and test the validity and reliability of the scale. In three studies, the authors tested the scale's linguistic equivalence first, then its structural validity, and finally its predictive power on life satisfaction. Study one sample consisted of 48 academicians with sufficient English and Turkish language. Study two sample involved 267 employees from the tourism and finance sector. Study three sample comprised 374 data obtained from industrial and textile manufacturing employees. Back and forth translation and test-retest analysis results show the Turkish form has linguistic equality. Explanatory factor analysis results indicate the adapted scale has a one-dimensional factor like the original one. Confirmatory factor analysis results reveal the adapted form has the one-factor structure in a different sample. The structural model analysis showed workplace social courage has a significant and positive effect on life satisfaction. The adapted Turkish form of workplace social courage scale is valid and reliable.
El marketing social y su influencia en la calidad del servicio en la Compañía de Bomberos Santiago Apóstol N° 134 del distrito de Surco, 2020
Authors:   , Mormontoy Medina Prisila Jackeline , Ferrou Díaz Paula Andrea
Published: June 2022

La investigación buscó determinar la influencia que ejerce el marketing social en la calidad de servicio de la Compañía de Bomberos Santiago Apóstol N° 134 del distrito de Surco, Lima, para lo cual se utilizó una metodología de enfoque cuantitativo, descriptiva, no experimental, transversal, con una muestra de 152 bomberos. Los resultados señalaron que el marketing social influye de manera moderada en la calidad del servicio con una correlación de 0,499 y donde las dimensiones del marketing social como el producto social y la plaza también ejercen una influencia moderada de 0,513 y 0,467 respectivamente. Sin embargo, la dimensión promoción no influye significativamente en la calidad de servicio al presentar una correlación muy baja de 0.175 resultados similares a los de Escobar et al (2015), Arrubla (2015), Kamlot (2017), Fernández et al (2019), Calixto (2017) y López (2018). Se concluye que el marketing social sí influye en la calidad de servicio, pero de forma moderada debiéndose aplicar mejores y nuevas estrategias para lograr un mayor impacto.
Influencia de la inclusión financiera sobre bienestar económico en los comerciantes del mercado Las Lomas
Authors:   , Silva Calderon Cinthya Marisol , Viera Moran Waldir David
Published: June 2022

El objetivo de la presente investigación tiene como finalidad analizar en qué medida la Inclusión Financiera influye en el Bienestar Económico en los comerciantes del mercado Las Lomas, distrito Villa El Salvador, Lima. A partir del objetivo descrito se realizó un análisis con diseño no experimental de tipo aplicativo, nivel correlacional entre las variables con un enfoque cuantitativo y método hipotético deductivo basado en la aplicación del cuestionario de escala Likert, con una muestra probabilística de 114 comerciantes del mercado. Los resultados evidencian que existe un nivel de correlación significativa positiva de 78,3% entre las variables Inclusión Financiera y Bienestar Económico, es decir, que las dimensiones estudiadas: Acceso, Uso y Calidad que explican a La Inclusión Financiera influyen significativamente en el Bienestar Económico en los comerciantes del mercado de estudio, esto se debe a un adecuado uso de los Servicios Financieros de Calidad que les permite invertir en sus negocios y seguir creciendo económicamente.
Recent advancements of signal processing and artificial intelligence in the fault detection of rolling element bearings: a review
Authors: Anwarsha A. , Narendiranath Babu T.
Published: June 2022

A rolling element bearing is a common component in household and industrial machines. Even a minor fault in this section has a negative impact on the machinery's overall operation. As a result, the industry suffers significant financial losses, and this damage can potentially result in catastrophic failures. Therefore, even a little fault in the rolling element bearings must be recognized and remedied as soon as possible. Many ways for detecting REB defects have been created in recent years, and new methods are being introduced on a daily basis. This article will provide a summary of such methods, with a focus on vibration analysis techniques. The newest advancements in this field will be recognizable to readers of this article. Anyone interested in defect diagnostics of rolling element bearings can utilize this material.
Deep learning method for visual question answering in the digital radiology domain
Authors: Gaidamavičius Dainius , Iešmantas Tomas
Published: June 2022

Computer vision applications in the medical field are widespread, and language processing models have gained more and more interest as well. However, these two different tasks often go separately: disease or pathology detection is often based purely on image models, while for example patient notes are treated only from the natural language processing perspective. However, there is an important task between: given a medical image, describe what is inside it – organs, modality, pathology, location, and stage of the pathology, etc. This type of area falls into the so-called VQA area – Visual Question Answering. In this work, we concentrate on blending deep features extracted from image and language models into a single representation. A new method of feature fusion is proposed and shown to be superior in terms of accuracy compared to summation and concatenation methods. For the radiology image dataset VQA-2019 Med [1], the new method achieves 84.8 % compared to 82.2 % for other considered feature fusion methods. In addition to increased accuracy, the proposed model does not become more difficult to train as the number of unknown parameters does not increase, as compared with the simple addition operation for fusing features.
Viral M2 Ion Channel Protein: A Promising Target for Anti-influenza Drug Discovery
Authors: Moorthy N.S. Hari Narayana , Poongavanam Vasanthanathan , Pratheepa V.
Published: June 2022

Influenza virus is an important RNA virus causing pandemics (Spanish Flu (1918), Asian Flu (1957), Hong Kong Flu (1968) and Swine Flu (2009)) over the last decades. Due to the spontaneous mutations of these viral proteins, currently available antiviral and anti-influenza drugs quickly develop resistance. To account this, only limited antiinfluenza drugs have been approved for the therapeutic use. These include amantadine and rimantadine (M2 proton channel blockers), zanamivir, oseltamivir and peramivir (neuraminidase inhibitors), favipravir (polymerase inhibitor) and laninamivir. This review provides an outline on the strategies to develop novel, potent chemotherapeutic agents against M2 proton channel. Primarily, the M2 proton channel blockers elicit pharmacological activity through destabilizing the helices by blocking the proton transport across the transmembrane. The biologically important compounds discovered using the scaffolds such as bisnoradmantane, noradamantane, triazine, spiroadamantane, isoxazole, amino alcohol, azaspiro, spirene, pinanamine, etc are reported to exhibit anti-influenza activity against wild or mutant type (S31N and V27A) of M2 proton channel protein. The reported studies explained that the adamantane based compounds (amantadine and rimantadine) strongly interact with His37 (through hydrogen bonding) and Ala30, Ile33 and Gly34 residues (hydrophobic interactions). The adamantane and the non-adamantane scaffolds fit perfectly in the active site pocket present in the wild type and the charged amino groups (ammonium) create positive electrostatic potential, which blocks the transport of protons across the pore. In the mutated proteins, larger or smaller binding pocket are created by small or large mutant residues, which do not allow the molecules fit in the active site. This causes the channel to be unblocked and the protons are allowed to transfer inside the pore. The structural analysis of the M2 proton channel blockers illustrated that the adamantane derivatives have action against both influenza A and B, but have no effect on the mutants.
role of job satisfaction in mediation the effect of self-efficacy and job insecurity on turnover intention
Authors: Narotama Ida Bagus Indra , Sintaasih Desak Ketut
Published: June 2022

This study aims to determine the role of job satisfaction in mediating the effect of self-efficacy and job insecurity on the turnover intention of facility care employees at PT. Angkasa Pura Supports Denpasar Branch. This research was conducted at PT. Angkasa Pura Supports Denpasar Branch with a sample of 218 employees. Methods of data collection using interviews and questionnaires. Determination of the sample using proportionate random sampling. Data were analyzed using Structural Equation Modeling (SEM) with Partial Least Square (PLS) approach. The results showed that self-efficacy had a negative and significant effect on turnover intention. Job insecurity has a positive and significant effect on turnover intention. Self-efficacy has a positive and significant effect on job satisfaction. Job insecurity has a negative and significant effect on job satisfaction. Job satisfaction has a negative and significant effect on turnover intention. Job satisfaction partially mediates the effect of self-efficacy on turnover intention. Job satisfaction also partially mediates the effect of job insecurity on turnover intention.
Parental control in school performance in high school students
Authors: Marcillo-Bravo Rosa Verónica , Reyes-Meza Orley Benedicto
Published: June 2022

The purpose of this study is related to the incidence of parental control on the school performance of the middle school students of the Eugenio Espejo Educational Unit #29 of the Tosagua Canton, where there are situations of negative behavior in the students due to the lack of emotional relationships of their parents who in many cases overprotect their children, adopting unusual values and practices, that lead them to have a low performance reflected in their learning results. The objective of the research is to investigate how Parental control affects the school performance of the students of the Eugenio Espejo Educational Unit #29 of the Tosagua Canton in the period 2021-2022. A qualitative analysis was used as a methodology, based on a field and bibliographic study, in addition to the inductive-deductive, analytical-synthetic, and statistical method, the data collection tools were based on parent surveys, interviews with teachers and student observation sheet, with a sample of 107 students, 100 parents and 3 teachers. It was obtained as a result that the parental control of the parents towards the children is fundamental for their education and the formation of values.
Planning perspectives of Dutch civil engineers that influenced the formation of urban infrastructure in modern Japan
Authors: Iwamoto Kazumasa
Published: June 2022

Dr. Kazumasa Iwamoto, National Institute for Land and Infrastructure Management, Japan, is interested in the history of the modernization of Japan and how this was influenced by an influx of innovations and Western philosophies. His analyses of urban space formation involve a historical
approach, as well as civil engineering and architecture techniques and an awareness of technology's contributions. Iwamoto's work is novel as research themes linking civil engineering and history are unusual. He is exploring the planning and design influences of other countries, including
how the planning and urban theory of Dutch engineers influenced the formation of urban infrastructure in modern Japan. In one project, Iwamoto and the collaborator investigated the role of Dutch civil engineering in modern port planning in Japan over the period of the 1870s to the 1890s by
studying original Dutch and Japanese documents including investigative reports, design drawings, and survey maps, and then exploring the transfer of civil engineering techniques for port planning through three case studies. Through this research, they found that Dutch civil engineers had a
significant impact on Japanese port planning through technological innovation, an example of which is the construction of artificial basins. The researchers are also investigating transport, including electric tramways and hydroelectricity, in Wakayama prefecture, and how this played a role
in the industrialization of Wakayama and its development as a tourist resort.
Research work in the Microscope-based Nanoscale Physics Lab
Authors: An Sangmin
Published: June 2022

Assistant Professor Sangmin An is head of the Microscope-based Nanoscale Physics Laboratory (MNPL), Jeonbuk National University, South Korea. He and his team are using atomic force microscope (AFM)-based technology as the basis of their work to make advances in materials science on
the atomic and molecular levels. The researchers are combining their AFM-based technology with the scanning tunnelling microscope (STM), Raman spectroscopy systems and scanning electron microscope (SEM). Using this variety of techniques is enabling the team to drive progress in their field
and also assisting with advances in semiconductor technology, including improving surface roughness measurement technology, which directly impacts consumer electronics. An and the team are also focused on nanoscale 3D printing with a view to overcoming limitations associated with the resolution
of 3D printing. The researchers have fabricated nanopipettes through laser irradiation of perforated glass or quartz using a mechanical puller. The nanopipettes are then attached to a crystal oscillator to enable 3D printing at the nanoscale. The team has developed a process in which physical
properties of materials can be measured directly using AFM + in situ Raman spectroscopy. By combining AFM-based nanoscale 3D printing technology and optical apparatus, it is possible to measure the physical, electrical, chemical, and optical properties of target materials. An and the team
are also performing investigations related to Kelvin probe force microscope (KPFM) and friction measurement, as well as improving AFM technology for AFM and quartz tuning fork AFM (QTF-AFM) systems.
Development of new transmissive light materials by "control of randomness"
Authors: Saito Akira
Published: June 2022

Biometrics combines principles from engineering, physics, chemistry, biology and informatics and applies them to create materials, systems and machines that mimic biological processes. The idea is to mimic things that exist naturally in order to develop artificial things with novel
properties. Dr Akira Saito, Department of Precision Engineering, Osaka University, Japan, is working to develop new transmissive light materials inspired by butterflies. The blue Morpho butterfly has brilliant blue wings and scientists have discovered that the colour is attributed to a specific
nanostructure that has both order and disorder. Saito and the team have been working to artificially reproduce this coloration and have proven the optical principles of the Morpho butterfly's reflection, progressed various application technologies and, more recently, found a new direction
- the transfer from reflection to transmission which has applications in window technologies. The researchers have developed a daylight window that satisfies at once all conditions of high transmittance, wide angular spread, low colour dispersion, and spread-shape controllability and have
also realised the diffuser that will enable the light source to 'see the object correctly' in terms of the colour rendering. This has potential to be used in fields that rely on different forms of lighting, including fine arts, surgery and various types of photography. The important methods
that Saito and the team have used in their research are nanofabrication (including lithography, etching and nanoimprinting), structural and optical evaluation (SEM and AFM, measurement of reflectivity and transmittance versus angle with spectroscopy), and numerical simulation.
Mechanics of droplet flow / solidification and film deformation / fracture
Authors: Sakaguchi Motoki
Published: June 2022

In industrial applications, the coatings of materials are an important consideration, particularly the fracture and elastic-plastic mechanics of coating materials. This is an area of focus for researchers in the Inoue Sakaguchi Laboratory, Tokyo Institute of Technology, Japan, where
Associate Professor Motoki Sakaguchi and the team are investigating the stress and strain evolution during the solidification and adhesion process of coating materials. They are doing this by conducting model experiments using paraffin wax, which is enabling them to investigate the individual
effects of different experimental variables, including droplet materials, droplet temperature, droplet kinetic energy, substrate temperature and substrate roughness. In a current project, Sakaguchi is exploring the fundamental processes involved in residual stress development in thermal barrier
coatings during thermal spray procedures. For this, he and the team have developed a model experiment that allows them to simplify the thermal spray using a paraffin wax with a low melting point and, in doing so, the researchers can monitor and precisely record the deposition process of each
splat in the thermal spray. Sakaguchi hopes the research will help improve thermal spray technology and, ultimately, lead to improved, longer-lasting components and equipment in industrial products.
The impact of administrative empowerment on the job satisfaction of employees
Authors:   Department of Public Administration, Northern Border University, Arar, Saudi Arabia, Al Naggar Samer Ahmed
Published: June 2022

Recognizing the significance of administrative empowerment and job satisfaction is vital in improving the organization's human resource efficiency. So, the purpose of this study is to see how administrative empowerment affects employee satisfaction at the Directorate of Health in the Northern Border Region. The study used descriptive and analytical methodology. The questionnaire was distributed to 167 employees found in the Directorate of Health in the Northern Border Region. The study found several results, the most important of which is the existence of the impact of administrative empowerment with its five dimensions (participation in decision-making-effective communication-employee motivation-training, and continual education-teamwork) explained by 67% of the variance in the level of job satisfaction of the employees. The main recommendation of the study was to strengthen teamwork, consolidate cooperation, linking the material and moral incentives with a set of objective standards to increase employees’ motivation towards teamwork and thus increase job satisfaction besides, increasing opportunities for participation in policymaking. Moreover, efforts should be exerted to establish robust internal communication channels that serve various administrative fields and enable workers to increase their capabilities and job skills.
On the memory-dependent derivative electric-thermoelastic wave characteristics in the presence of a continuous line heat source
Authors:   Department of Mathematics, Faculty of Science, Northern Border University, Arar, Saudi Arabia, et al. Amin
Published: June 2022

In the present work, the definition of memory-dependent derivative (MDD) heat transfer in a solid body was used to investigate the problem of wave characteristics in an unbounded electric-thermoelastic solid due to a continuous line heat source in the presence of a uniform magnetic field. Both Laplace and Hankel's transform strategies are used to acquire the widespread answer in a closed-form. Analytical findings were obtained for the distribution within the medium of various fields such as temperature, displacement, and stresses. For the inversion of the Laplace transformations, a computational approach is used. The distributions of the numerical consequences of the non-dimensional considered bodily variables are represented graphically. Detailed comparative evaluation is represented thru the numerical outcomes to estimate the results of the kernels, time-delay, figure-of-merit, and magnetic number on the behavior of all variables. The effect offers a concept to research main electric-thermoelastic materials as any other type of pertinent materials.
FEATURES OF CELLULAR COMPOSITION OF LYMPHO-MACROPHAGE INFILTRATION IN THE STROMA OF BENIGN AND MALIGNANT NODAL THYROID NEOPLASMS
Authors: Khaziev V. V.
Published: June 2022

It was conducted immunohistochemical definition of the relative amounts of CD8 (T-lymphocytessuppressor), CD4 (T-lymphocyte helper/inducer), CD3 (total population of T-lymphocytes), CD22(B-lymphocytes), CD16 (macrophages and natural killer) and interleukin-2-producing cells (IL-2) inthe preparations of euthyroid nodular thyroid disease: single and multinodal colloid goiter, thyroidfollicular adenomas (norm-follicular, macrofollicular, microfollicular, trabecular and solid), thyroidcancer (follicular, papillary, medullary). The nodular goiter characterized by a low level of T-killer,IL-2 and CD3 lymphocytes compared with follicular adenoma and thyroid cancer. Follicular adenomacharacterized by a high number of IL-2 and a low ratio T-killer/IL-2. In the samples of thyroid cancerrevealed a high level of lymphocyte with CD3 phenotype and T-killer cells as well as the ratio ofCD4/CD8; CD22, CD4, CD8 were minor, that indicated on the expressed cellular immunosuppressionin thyroid cancer infiltrates.
THE ROLE OF ACID SPHINGOMYELINASE IN INSULIN-INDUCED GLUCOSE UPTAKE VIOLATIONS BY MUSCLE TISSUE IN OLD AGE
Authors: Babenko N. A. , Timoﬁychuk O. A.
Published: June 2022

It was study the possibility of correction of violations of the insulin-induced glucose uptake bymuscle tissue of older rats by inhibiting acid sphingomyelinase (aSMase) with imipramine. Foundthat in muscle tissue 24-month-old rats, there are an accumulation of ceramide, weight sphingomyelin(SM) and the growth of the ratio of ceramide/SM compared to 3-month-old rats. The introductionof imipramine old animal, like the introduction of the drug in the incubation medium of the extensordigitorum longus, induces a decrease in the level of ceramide accumulation of SM and drops of theratio of ceramide/SM compared with the control, which may be due to the ability of the drug toinhibit the activity of aSMase. Eﬀect of imipramine in vitro accompanied by improved insulin-inducedglucose uptake by muscle tissue of old rats. It is suggested that aSMase does an important role in themodulation of insulin signaling in target tissues in old age through the production of ceramide.
The frequency and activity of chlamydial infection in women with autoimmune thyroiditis
Authors: Goncharova Olga
Published: June 2022

It was studied the frequency and activity of chlamydiosis, as well as the correlative relationship between immunoglobulin G to chlamydia (IgG to Chl) and index of immune status of women with autoimmune thyroiditis (AIT) in postmenopausal (PM) and reproductive (RP) age periods. IgG to Chl were found in 17.5 % of the surveyed women. Expressed differences in the groups with AIT and without thyroid pathology (control) were not found. At the same time this indicator had the opposite age dynamics: against AIT chlamydiosis rate was twice as large at PM, while in the control of chlamydiosis rate was three times higher than in the RP. Levels of IgG to the Chl at the AIT were higher in the PM, in the control group — practically identical in both age periods. In women with AIT correlative relationship between IgG to Chl and immunological parameters greatly differ in age aspect: namely, in PM — only with the components of the T-cell response, in RP — only with natural killer cells and antibodies to thyroglobulin. This fact can be interpreted as the age differences in the algorithm of forming and maintaining the autoimmune process.
COMBINED THERAPY OF TYPE 2 DIABETES IN THE FAMILY DOCTOR’S PRACTICE
Authors: Karachentsev Yuri , Kozakov Olexandr , Romanova I. P. , Kravchun N. О.
Published: June 2022

Family medicine is now widespread in European countries, taking a leading place in the provision of medical care to the population. According to world statistics, more than 80% of all health problems in developed countries are solved in primary health care. In practice, a doctor of a new formation for Ukraine solves these problems - a general practitioner (family doctor), who is responsible for his patients around the clock, guaranteeing them the necessary medical, psychological and social assistance. In no other branch of medicine so much attention is paid to the patient in relation to his family members.
Вязкоупругие свойства наножидкостей с углеродными трубками
Authors: Рудяк В.Я. , Дашапилов Г.Р. , Минаков А.В. , Пряжников М.И.
Published: June 2022

The method of diffusion wave spectroscopy is used to study the microrheology of several nanofluids based on water, ethylene glycol and isopropyl alcohol with single-wall and multi-wall nanotubes. Their viscosity and rheology have been previously in-vestigated, and it has been shown that, starting with a certain concentration of carbon nanotubes, nanofluids are non-Newtonian and viscoplastic. At the same time, it was ex-perimentally established that these nanofluids are viscoelastic. Various viscoelastic characteristics of these nanofluids have been systematically studied and compared.
Синтез и хеморезистивная чувствительность к водороду наноструктурированных пленок CuO
Authors: Федоров Л.Ю. , Ушаков А.В. , Карпов И.В.
Published: June 2022

Highly porous CuO films up to 1 µm thick, consisting of vertically oriented nanowires ~50 nm in diameter, were synthesized by copper evaporation in a vacuum arc discharge in an argon/oxygen atmosphere followed by deposition on heated substrates. The phase composition and polycrystalline nature of the films were confirmed by X-ray diffraction. On the example of gaseous hydrogen H2, at a sensor operating temperature of 300 °C, the sensory characteristics of CuO films were studied. The qualitative mechanism of the effect of gas on the electrical characteristics of the nanostructured CuO film is described.
Газочувствительные свойства пленок твердого раствора In-=SUB=-2-=/SUB=-O-=SUB=-3-=/SUB=--Ga-=SUB=-2-=/SUB=-O-=SUB=-3-=/SUB=-
Authors: Николаев В.И. , Алмаев А.В. , Кушнарев Б.О. , Печников А.И. , Степанов С.И. , Чикиряка А.В. , Тимашов Р.Б. , Щеглов М.П. , Бутенко П.Н. , Черников Е.В.
Published: June 2022

The effect of the gaseous medium composition on the electrically conductive properties of In2O3-Ga2O3 films obtained by chloride vapor phase epitaxy has been studied. In the temperature range of 100-550ºC the In2O3 -Ga2O3 films exhibit high sensitivity to H2, NH3 and CO possessing high-speed performance and low-base-resistance. A qualitative mechanism for the sensitivity of In2O3-Ga2O3 films to gases is proposed.
Difficulties in differential diagnosis between obstructive and non-obstructive azoospermia
Authors: Gamidov S. I. , Shatylko T. V. , Tambiev A. Kh. , Gasanov N. G. , Popova A. Yu. , Alravashdeh A. A.A.
Published: June 2022

Introduction. The difference between obstructive and non-obstructive azoospermia (OA and NOA) is important for the choice of treatment tactics and adequate counseling of a married couple.Objective. To describe, analyze, and classify possible challenges in differentiating between two types of azoospermiaMaterials and methods. The retrospective review of database on surgical sperm retrieval attempts performed our hospital (n = 754). A subpopulation of 216 patients who were preliminary diagnosed with OA, was selected for further analysis. All patients had testicular pathology data following sperm retrieval attempt. Rate of reclassification was assessed as a primary outcome. Reclassified cases were further analyzed to find a possible reason for incorrect differential diagnosis.Results. Among 216 patients with initially suspected OA, 131 (60.6%) had evidence of spermatogenic dysfunction on pathological examination of seminiferous tubules. Multivariate regression analysis showed that only regular exposure to high temperatures was an independent predictor of NOA detection in patients with normal endocrine and clinical parameters (OR = 1.989; 95% CI = 1.101 – 3.595). Analysis of the decision tree showed that patients with inhibin B levels below 93 pg/ml had the highest risk of an incorrect initial diagnosis (82.6%).Conclusions. Differential diagnosis of OA and NOA is not such a simple task. Any case of azoospermia against the background of normal semen volume by default should be considered as a case of NOA if there is no anamnestic or clinical data clearly indicating obstruction. Regular exposure to high temperature is likely to cause azoospermia in men with initially severe disorders of spermatogenesis. Finally, the reference values of inhibin B offered by most laboratories are not intended to assess reproductive function.
Efficacy of a synthetic middle urethral sling in patients with mixed urinary incontinence
Authors: Zaitseva A. O. , Volkova O. V. , Labetov I. A. , Kovalev G. V. , Shkarupa D. D.
Published: June 2022

Introduction. Mixed urinary incontinence is believed to be more difficult to treat than stress urinary incontinence and overactive bladder (OAB) alone. However, the mixed form occurs in one in three women with complaints of incontinence. Therefore, the evaluation of the effectiveness of the transobturator suburethral sling in patients with a mixed form of urinary incontinence is a topical issue.Objective. To evaluate the efficacy of the transobturator suburethral sling in patients with mixed urinary incontinence.Materials and methods. The cohort study enrolled 106 patients with a mixed form of urinary incontinence. Validated questionnaires (Overactive bladder questionnaire/OABq, Urinary Distress Inventory, Short Form/UDI-6) were used to assess subjective data. Secondary endpoint – objective data of comprehensive urodynamic study 2 – 12 months after transobturator suburethral sling implantation: presence of phase, terminal, constrictor-induced detrusor overactivity (DOA).Results. According to the preoperative evaluation of complaints on validated questionnaires, the mean UDI-6 score was 52.2 ± 16.3 points, OABq was 15.4 ± 5.4 points. After surgery, there was a decrease in the UDI-6 questionnaire scores to 19.4 ± 18.4 scores and OABq to 9.6 ± 4.1 scores, the difference for both of which was statistically significant (p < 0.001). Terminal DOA was sighted in 44 (41.5%) preoperative patients and 33 (31.1%) postoperative patients (p = 0.153). Stress-induced DOA was observed in 27 (25.5%) before and 6 (5.7%) after surgery (p < 0.001), respectively. Seventy-two (67.9%) patients reported satisfaction with the surgery and willingness to recommend it to their friends. For 26 (24.5%) patients, the surgery had no significant effect on quality of life. Eight (7.5%) patients noted a worsening of symptoms after treatment. No effect of sling installation on the course of OAB was found.Conclusion. The placement of a synthetic suburethral sling has improved the quality of life in many patients with a mixed form of urinary incontinence.
Risk factors, antibiotic prophylaxis, and treatment of urinary tract infection in transurethral surgery for benign prostatic hyperplasia
Authors: Kogan M. I. , Naboka Yu. L. , Ivanov S. N.
Published: June 2022

Discussion of risk factors for infectious complications in the general population of patients undergoing transurethral resection of the prostate, antibiotic prophylaxis and therapy has been going on for decades. Up to date, the problem of the manifestation of bacteriuria in clinical infectious processes at various periods, as well as the factors of the introduction of bacterial agents with their further subclinical circulation in the urinary and reproductive systems, seems to be little discussed. The insufficient knowledge of these issues is confirmed by a small number of studies covering mainly electrosurgical mono and bipolar technologies as the most common and studied over a long period of their existence. This review raises the problem of insufficient knowledge of the clinical structure of infections during transurethral surgery, assessment of their risk factors, antibiotic prophylaxis regimens and therapy.
Fake Reviews Detection Using Supervised Machine Learning
Authors: Ram Nikhil Chandra Sai , Vakati Gowtham , Nadimpall Jagadesh Varma , Sah Yash , Datla Sai Karthik
Published: June 2022

Abstract: With the continuous evolve of E-commerce systems, online reviews are mainly considered as a crucial factor for building and maintaining a good reputation. Moreover, they have an effective role in the decision making process for end users. Usually, a positive review for a target object attracts more customers and lead to high increase in sales. Nowadays, deceptive or fake reviews are deliberately written to build virtual reputation and attracting potential customers. Thus, identifying fake reviews is a vivid and ongoing research area. Identifying fake reviews depends not only on the key features of the reviews but also on the behaviours of the reviewers. This paper proposes a machine learning approach to identify fake reviews. In addition to the features extraction process of the reviews, this paper applies several features engineering to extract various behaviours of the reviewers. The paper compares the performance of several experiments done on a real Yelp dataset of restaurants reviews, we compare the performance of machine learning classifiers; KNN, Naive Bayes (NB), Logistic Regression. The results reveal that Logistic Regression outperforms the rest of classifiers in terms of accuracy achieving best. The results show that the system has better ability to detect a review as fake or original.
Adaptive Control based Condition Monitoring of CNC Machine
Authors: Balamurugan S
Published: June 2022

Abstract: An adaptive control constraint system has been developed for computer numerical control (CNC) turning based on the feedback control and adaptive control/self-tuning control. In an adaptive controlled system, the signals from the onlinemeasurement have to be processed and fed back to the machine tool controller to adjust the cutting parameters so that the machiningcan be stopped once a certain threshold is crossed. The main focus of the present work is to develop a reliable adaptive control system, and the objective of the control system is to control the cutting parameters and maintain the displacement and tool flank wear under constraint valves for a particular workpiece and tool combination as per ISO standard. Using Matlab Simulink, the digital adaption of the cutting parameters for experiment has confirmed the efficiency of the adaptively controlled condition monitoring system, which is reflected in different machining processes at varying machining conditions. This work describes the state of the art of the adaptive control constraint (ACC) machining systems for turning. AISI4140 steel of 150 BHN hardness is used as the workpiece material, and carbide inserts are used as cutting tool material throughout the experiment. With the developed approach, it is possible to predict the tool condition pretty accurately, if the feed and surface roughness are measured at identical conditions. As part of the present research work, the relationship between displacement due to vibration, cutting force, flank wear, and surface roughness has been examined.
Object Detection using Deep Learning Approach
Authors: Dhar Moloy
Published: June 2022

Abstract: The most often utilized strategies for current deep learning models to accomplish a multitude of activities on devices are mobile networks and binary neural networks. In this research, we propose a method for identifying an object using the pretrained deep learning model MobileNet for Single Shot Multi-Box Detector (SSD). This technique is utilized for real-time detection as well as webcams to detect the object in a video feed.To construct the module, we use the MobileNet and SSD frameworks to provide a faster and effective deep learning-based object detection approach.Deep learning has evolved into a powerful machine learning technology that incorporates multiple layers of features or representations of data to get cuttingedge results. Deep learning has demonstrated outstanding performance in a variety of fields, including picture classification, segmentation, and object detection. Deep learning approaches have recently made significant progress in fine-grained picture categorization, which tries to differentiate subordinate-level categories.The major goal of our study is to investigate the accuracy of an object identification method called SSD, as well as the significance of a pre-trained deep learning model called MobileNet.To perform this challenge of detecting an item in an image or video, I used OpenCV libraries, Python, and NumPy. This enhances the accuracy of behavior recognition at a processing speed required for real-time detection and daily monitoring requirements indoors and outdoors.
Experimental Analysis of Power Generation from waste heat in Automobiles Vehicles
Authors: Ambade Pranju
Published: June 2022

Abstract: The increasingly worldwide problem regarding rapid economy development and a relative shortage of energy, the internal combustion engine exhaust waste heat and environmental pollution has been more emphasized heavily recently. Out of the total heat supplied to the engine in the form of fuel, approximately, 30 to 40% is converted into useful mechanical work; the remaining heat is expelled to the environment through exhaust gases and engine cooling systems, resulting in to entropy rise and serious environmental pollution, so it is required to utilized waste heat into useful work. In recent years, global warming and the limitations in use of energy resources increase environmental issues of emissions. Also In industry, most of the expenses are due to energy (both electrical and thermal), labour and materials. But out of them energy would relate to the manageability of the cost or potential cost savings and thus energy management will help in cost reduction.
Factors That Affect Safety of Tower Crane Installation/Dismantling in Construction Industry
Authors: C Thanu Lingam
Published: June 2022

Abstract: This paper is to investigate factors that contribute to accidents during tower crane installation/dismantling. Accident analysis and focus group interviews (FGIs) were conducted with people involved in crane work. Accidents occurring during installation/dismantling of tower cranes accounted for 68.4% of all fatal accidents. Accident analysis identified “Not following work procedures” as one of the main causes of these accidents, followed by “unsafe acts of workers.” The FGIs investigation revealed the following factors that adversely affected the safety of the tower crane installation/dismantling: competence of the workers; roles of stakeholders such as principal contractors in the tasks; deterioration of tower crane components; and working conditions for conducting the tasks. These results may provide regulators as well as practitioners with insights for improving the safety of tower crane installation/dismantling.
Canteen Automation System Using Android
Authors: Nikhil Sola
Published: June 2022

Abstract: Smart Canteen project, a method for ordering food items online, applicable to any canteen industry. The key benefit of this technique is that it makes the ordering procedure much easier for both the customer and the canteen staff. When a consumer uses the ordering application, it is interactive and features an up-to-date menu with all available options that is dynamically priced based on the options selected. The item will be added to the order after selection, and the consumer can confirm these details at any time before checking out using the Android app. This system too significantly relaxes the cafeteria and relaxes the entire order reception Automation. When customer’s order is confirmed through the android application, it is updated in the database of server and can be retrieved in near real time from the canteen android application end. In the application itself, all items in the order will be displayed along with the item details. Related order options and delivery details, short and easy to understand. The cafeteria staff can process the order as soon as it is placed and can track their records if needed.
A Comparative Study on Semantic Segmentation Algorithms for Autonomous Driving Vehicles
Authors: Chhabra Shivam
Published: June 2022

Abstract: Semantic segmentation refers to the process of classifying each pixel in an image for better understanding and analysis of image. This is how machines look at the real world and identifies different objects. These are the times when autonomous vehicle industry is blooming and establishing new heights. There are so many research studies going on around semantic segmentation that are advancing to break boundaries in the world of computer vision. Despite of so much of progress made in the field in the recent years, autonomous vehicles needs more improved and efficient models to ride on the roads. In this research paper we compare the currently proved popular choices of models for semantic segmentation with respect to autonomous vehicles on different parameters to create an in-depth analysis on which all models and their variations improve and affect the quality of real time segmentation of the real world. The popular model architecture choices that were assessed and compared in this research were Fully Convolutional Network (FCN), U- Net and DeepLab. The data used for analysis was taken from Lyft Perception Challenge on Lyft Perception Challenge on Udacity.
Face Recognition for Criminal Detection
Authors: Reddy K. Manideep
Published: June 2022

Abstract: In these days, assessment camera structure wins as a security system at high speed since this structure can screen from remote spots using Web camera joined to video screen by network. Besides, computerized supplies like Web camera, and hard circle drive are proficiently fabricated, and are sold for minimal price. Likewise, execution gain of these mechanized sorts of stuff improves at a fast rate. Current perception camera structure shows dynamic pictures from some oversight areas shot by various Web cameras all the while. Then, this system makes spectator's mind and body tired considering the way that he/she wants to watch enormous number of dynamic pictures been persistently strengthened. Moreover, this structure has a troublesome issue, which is an observer slips over mark of bad behavior. This study eliminates Motion Region from moving individual, and measures Motion Quantity for assessing his/her dynamic state. Also, this recommendation method finds the distinctive place of questionable activity, and checks the degree of risk of the questionable development.
Object Tracking in Crowd Environment Using Deep Learning
Authors: Goud Lingala Hrithika
Published: June 2022

Abstract: Object tracking is fetching a primary set of object identification, allocating a unique ID to each one of them, and then ensuing each of the objects as they move around frames in a movie while safe keeping the ID assignment. Person tracking is a difficult task in video surveillance. In recent years, many computer vision, deep and machine learning have been developed. Convolutional Neural Networks (CNN) are transforming target tracking. The project's purpose is to recognize and track images utilizing object identification techniques such as Region based Convolutional Neural Networks (RCNN), Faster RCNN, Single Shot Detector (SSD), and You Only Look Once (YOLO). Faster-RCNN and SSD have superior accuracy among them, whereas YOLO performs better when speed is prioritized above accuracy. Deep learning combines SSD and Mobile Nets for efficient identification and tracking implementation. This technique detects objects quickly and efficiently without sacrificing performance. Convolutionally default boxex are passed over several feature maps. If a detected object matches one of the object classifiers during prediction, a score is produced..
Dual Axis Solar Tracking System with Weather Sensor
Authors: Ganer Prof. Anmol
Published: June 2022

Abstract: Energy crisis is one in every of the major problems in world developing countries like Republic of India.There's a huge gap between generation and demand of current. Nearly half of the population of the country cannot get the power supply. Renewable energy is one of the answers to solve this issue. Solar power is one in every of the foremost effective resources of the renewable energy that might play a big role to resolve this drawback. This analysis presents a performance analysis of the dual axis solar tracking systemusing Arduino and led & servo motors. The most objective of this research is whether the solar tracker isbetter than a solar panel. This work is split into 2 light dependent resistors (LDR) is employed to observethe almost source of illumination from the sun. Two servo motors put together accustomed move the electrical device to most source of illumination location perceived by the LDRs. In the other half, the software part is written by using C programming language which head towards to the Arduino UNO controller. The result of the solar tracking system has analyzed and compared with the mounted or static solar panel found higher performance in terms of current, power and voltage. Therefore, the solar tracking system is evidenced additional sensible for capturing the most daylight provide for star gathering applications. The result showed dual axis solar tracking system made further 10.53- watt power compared with mounted (fixed) and single axis solar tracking system. Components hardware and computer code.
STUDENT PARTICIPATION IN EXTRA-CURRICULAR SCOUTING AND THE ENHANCEMENT OF DISCIPLINE A CORRELATIONAL STUDY IN PUBLIC VOCATIONAL SCHOOLS
Authors: SURYADI Ali
Published: June 2022

This research aims to examine student extracurricular participation through scouting activities in relation to the level of discipline in Public Vocational High School East Jakarta City. Using quantitative approach, the researcher collected data from 364 student respondents by means of Likert scaled questionnaires. This study involved 12 vocational high schools in East Jakarta. To ensure the representativeness, the sample was proportionally randomized out of 6701 student population. Prior to data collection, the instruments were validated to 30 respondents. The study concluded that there was a moderate positive correlation between the level of student involvement and discipline at Public Vocational High School in East Jakarta.