bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling, Simulation and Performance Analysis of Multichannel Mems Piezoelectric Cantilevers for Cochlear Implantable Module
Authors: Khan J. Abdul Aziz , Shanmugaraja P. , Kannan S.
Published: June 2021

This work presents the enhanced area-efficient Multi-channel MEMS (Micro-Electrical Mechanical System) piezoelectric cantilever device (PCD) for a fully cochlear implantable sensor that works within the audible frequency range of 300-4800 Hz. The sound pressure level (SPL) of 95 dB, 100 dB, and 110 dB input is given in order to resonates the audible frequency range of the device which is placed on the eardrum. This stimulates the auditory nerve via the cochlea to send information to the brain. As a result, the Multi-channel MEMS piezoelectric cantilever device generates the highest potential voltage of 870 mV at 110-dB SPL and is detected under the excitation of 300 Hz. The output parameters such as von Mises stress, displacement, and the complete frequency bandwidth performance are analyzed using COMSOL Multiphysics.
MRI Brain Image Enhancement Using an Improved Contrast Enhancement Method
Authors: Lakshmi A. Vijaya , Satynarayana Vella , Mohanaiah Dr.P.
Published: June 2021

The uncontrollable cells growth in the brain portion is the main reason for cancer deaths nowadays. So, effective detection of brain tumors is more important in the medical field to analyze the tumor portion. Detecting tumors prior and diagnosis of tumors can play a major role in preventing human death due to brain tumors. To detect the tumor portion, many segmentation and classification methods have been proposed. For the effect segmentation process, enhancing brain images is necessary. In this present paper, Magnetic resonance imaging (MRI) brain images have been taken as test images. The proposed enhancement method has two major phases. The first phase contains a regularization process in two steps to equalize the test images' intensities, and the second phase contains a mapping process of two steps to enhance the contrast of the image and remap their intensity values to the natural dynamic range.
Analysis of the Conditions of Cotton Packing in Containers with Flexible Casing
Authors: Alikulov Sattar Ramazanovich
Published: June 2021

The article presents materials on the analysis of the process of cotton compaction in containers with a flexible shell, taking into account vertical pressures and friction forces using approximating functions and nonlinear differential equations.
A Comprehensive Survey-based Study on Pre and Post COVID-19 Impact Using Statistical Design on School Students in Urban Areas of Chennai
Authors: Nishanthini V.
Published: June 2021

Aim: The aim of our study was to assay pre and post covid-19 impact on school students in Chennai and their psychological impact of online learning on them. Material and methods: 500 school students were surveyed for their Post COVID and Pre COVID experience in their academic life. We calculated samples by using statistical packages for social science (SPSS). Result: The study highlights students performed and enjoyed organized learning experience in the pre COVID-19 time to post COVID lockdown. Conclusion: Although the most data were statistically insignificant (P>0.05), based on the number of responses for given conditions in the survey, we were able to infer that post COVID-19 was more stressful and had a greater impact on school students (Chi square, Correlation).
Investigating the Role of Collaborative Innovation Networks and Customer Participation on New Product Performance Cinnagen Co
Authors: Eyvazzadeh Elham
Published: June 2021

The impact of collaborative innovation networks on the process of corporate performance has attracted particular attention in recent years. Collaborative innovation networks comprise a collection of suppliers, customers, competitors, universities and research institutes. This study aimed to investigate the role of collaborative innovation networks and customer participation on the performance of new products of Cinnagen Co. Structural equation technique using the least squares method with Smart PLS software was used to analyze the data. The results show that there is no significant direct relationship between customer participation and new product development, but this variable has a direct and significant effect on the performance of the new product, mediated by attraction capacity variables and innovation capabilities. The results also show that collaborative innovation networks mediate innovation capabilities that influence new product performance.
Competitive Properties of Trading Companies Managers
Authors: Korolchuk Mykola
Published: June 2021

The structure of competitiveness of managers in international trading companies includes motivational, adaptive mobility, emotional-volitional, communicative, and individual-psychological factors. Variables of each factor characterize leadership traits and determine the competitiveness of the individual. We proved that the leadership characteristics determining competitiveness on the motivational factor are manifested in the superiority of direct motives; according to the emotional and volitional factor – a high level of volitional self-control and perseverance; according to individual-psychological characteristics – a level of emotional balance, communicativeness and a low level of depression and neurotic spontaneity.
Involvement of Women in Economy: An Explication from the Islamic Perspective
Authors: Kamaruddin Zuraidah
Published: June 2021

Islam provides prescriptions on the specific rights and obligations of men and women in the society. While women in the West still fight for their rights to an equal position until today, Islam provides Muslim women with the rights to be involved in economic activities based on their personal merit and wisdom. This paper aims to highlight the involvement of Muslim women in economic activities from an Islamic perspective. Islam does not limit the task of women to being mothers; Muslim women can involve themselves in other fields such as economics and politics, as long as they adhere to the guidelines put forward by the religion. It cannot be denied that their involvement in the economic sector became one of the development factors of Islamic civilisation since the very beginning of Islam until now. The purpose of their voluntary involvement in the economy was to contribute their skills and expertise as well as to apply their knowledge for the benefit and maslahah of the Muslim society and ummah. The study concludes that out that the involvement of Muslim women in economic activities plays an important role in a country’s development process, particularly when the women’s labour were in a compatible manner within the limits of shariah.
Validation of Awareness of Thermal Performance of Earth and its Sustainable Benefit Assessment Scale
Authors: Maimagani Sanusi Sani
Published: June 2021

This objective of the study is to assess the validity of the Awareness of Thermal Performance of Earth and Sustainable Benefit Assessment Scale (ATESBAS). A cross-sectional survey design was adopted with a 50 selected samples from the northwestern part of Nigeria. The instruments contained 20 items spread among the 2 constructs of Benefits of Compressed Earth Brick and Application of compressed earth brick. The data collected were entered into Microsoft Excel 2019, and SPSS 25 was used for the analysis. The scale was evaluated through content validity with experts and Reliability with Cronbach’s Alpha technique. The results indicated that the scale has substantial content validity and acceptable reliability values of 0.80 (Benefits of Compressed Earth Brick) and 0.84 (Application of compressed Earth Brick). However, one item overall failed to satisfy the condition to be certified as valid and thus, entirely removed from the scale (Application of Compressed Earth Brick). Accordingly, with the satisfaction of measurement requirements by 63 items, it concluded that the developed ATESBAS validated in this study can be used to investigate the awareness of the thermal performance of earth as a wall material and sustainable benefit, among professional architects in North-western Nigeria.
Some Properties of the Covariant Functor Set of Exponential Type
Authors: Zhuraev Tursunbay
Published: June 2021

In this paper, it is shown that the sets of all non-empty subsets Set (x) of a topological space X with exponential topology is a covariant functor in the category of -topological spaces and their continuous mappings into itself. It is shown that the functor Set is a covariant functor in the category of topological spaces and continuous mappings into itself, a pseudometric in the space Set (x) is defined, and compact, connected, finite, and countable subspaces of Set (x) are distinguished. It also shows various kinds of connectivity, soft, locally soft, and n - soft mappings in Set (x). One interesting example is given for the TOPY category. It is proved that the functor Set maps open mappings to open, contractible and locally contractible spaces and into contractible and locally contractible spaces.
Consumer Choice Modelling in Sharing Economy
Authors: Gostilovich A.O.
Published: June 2021

Development of sharing economy creates new challenges and opens unprecedented business opportunities. In this economic environment, industrial enterprises can expand their direct selling strategies with the new business model “product as a service”. This option is the result of a shift in consumer preferences among clients of industrial enterprises. The development of the consumer choice model applied to sharing economy is a topical agenda, perhaps now more than ever. Such a model, if available, would help predict multiple scenarios of consumer behaviour and prepare the manufacturing companies for better interaction with their target market. This article makes an attempt to offer a consumer choice model in sharing economy, based on 4 types of possible consumer behaviour. The results of the article serve as a foundation of multi-agent modelling and quantitative assessment of abstract situations in the business-to-consumer market.
The Concept of Assessing the Level of the Enterprise Economic Security
Authors: Vaslavskaya Irina Yurievna
Published: June 2021

Several problems can be identified in assessing the economic security of organizations. Most of the developed techniques in this area involve the assessment of the financial component of economic security using methods for assessing the probability of the bankruptcy of the enterprise. At the same time, there are no unambiguously recommended evaluation methods; often enterprises are limited to any one complex methodology. Any evaluation of the financial component of the security is reduced to the cost-benefit analysis and evaluation of balance sheet liquidity and the financial stability of the organization, without the formation of an integral indicator. This approach does not consider the nature of internal processes and assesses the final impact of these “processes” on the indicators of financial statements (based on which the assessment of the financial component of economic security is formed). Also, one of the problems of assessing economic security using mathematical models is the complexity of mastering these models and the lack of the programs for performing calculations. It should be noted that it is a characteristic of the largest number of studied methods that usually assess the current state of the enterprise, the complex methodology does not consider threats, the maximum that can be considered is a possible prevented damage. Nevertheless, working with threats in the assessment system allows us to predict the possible negative impact on the state of economic security. And timely prevent these situations or “take the risk”, since it is advisable to assess threats through risk indicators. Assessment of economic security is as important as any other economic analytical information needed for the timely decision-makin and the formation of proactive measures.
Comparative Study on MATLAB based Joint Photographic Experts Group Image Size Reduction Using Shearlet and Wavelet Packet Transform for X-ray Images with Potential Hospital Data Storage Applications
Authors: Perolla Haripriya
Published: June 2021

Aim: Aim of this study is to compress X-ray images using wavelet packet transform and shearlet transform. These two transforms were compared for the better compression ratio to store large hospital data files in small memory space. Materials and methods: Sample X-ray images were, Wavelet packet (30) and Shearlet (30) for compression. Compression ratio was calculated. The significance of the data were calculated using SPSS software. Results: There was statistical significance between the wavelet packet and shearlet transform based compression ratio data (p<0.05, independent sample t- test). Conclusion: wavelet packet transform has a better compression ratio than shearlet transform. Wavelet packet transform appears to produce the most consistent results with higher standard deviation (3.3) when compared with shearlet transform which appears to produce lower results with lower standard deviation (0.8).
Effective Channel Detection at Low SNR in Cognitive Radio Network Using Matched Filter Approach and Compare with Energy Detection - based Approach
Authors: Tejesh Kandlagunta
Published: June 2021

Aim: The study aims to detect the effective channel in cognitive radio network at low SNR using an innovative algorithm based on matched filter detection and compared it with energy detection. Materials and methods: The spectrum sensing based on novel matched filter detection with 10 samples is compared with the energy detection by varying the SNR conditions, using MATLAB. Results: The probability of detection of the matched filter is high at low SNR(-30db) then compared to the probability of detection of energy detection at low SNR(-10db) and the significance level is 0.002, i.e., (P<0.05) which gives better sensing performance. Conclusion: this would be proved to conclude that at low SNR conditions the matched filter detection gives significantly high sensing probability.
Image Denoising Using Low Rank Matrix Approximation in Singular Value Decomposition
Authors: V.V. Satyanarayana Tallapragada
Published: June 2021

The factorization of a matrix into lower rank matrices give solutions to a wide range of computer vision and image processing tasks. The inherent patches or the atomic patches can completely describe the whole image. The lower rank matrices are obtained using different tools including Singular Value Decomposition (SVD), which is typically found in minimization problems of nuclear norms. The singular values obtained will generally be a thresholder to realize the nuclear norm minimization. However, soft-thresholding is performed uniformly on all the singular values that lead to a similar importance to all the patches whether it is principal/useful or not. Our observation is that the decision on a patch (to be principal/useful or not) can be taken only when the application of this minimization is taken into consideration. Thus, in this paper, we propose a new method for image denoising by choosing variable weights to different singular values with a deep noise effect. Experimental results illustrate that the proposed weighted scheme performs better than the state-of-the-art methods.
A Study on Customer Delight in Banking
Authors: D David Winster Praveenraj
Published: June 2021

The banking industry like other industries have its own competition, uncertainties, new technological advancement and changing market conditions. Customer Satisfaction is one of the key area’s banks have to focus if it wants to be attained long-term success. In this study we have examined the level of satisfaction of the customers towards the services rendered by public and private sector banks. The main aim of the study is to evaluate the determinants of Customer Satisfaction in Banking Sector. For this a descriptive research was carried out to analyse the data collected from 105 customers of both public and private sector banks. The inferences from the results depict the factors that are crucial for enhancing customer satisfaction. Based on the inference’s suggestions are given to help banks improve their service quality.
Prioritizing Employee Engagement to Drive Organisational Performance in Automobile Sector
Authors: M. Dr. John Britto
Published: June 2021

All professionally managed organisations in spite of complications have started deploying analytics to help them predict retention, identify the factors which have correlation with HR related aspects such as compensation and employee demographics in order to have an insight on as to why certain employees are more engaged as compared to others. This research attempts to review the advantage of prioritising employee engagement in order to drive organisational performance with respect to the automobile sector in Chennai. The results have shown that there exists a significant difference between the demographics of the sample and factors of employee engagement influencing organisational performance.
A Key to Unlock: Empowering Emotional Intelligence and Experiencing Transformation among School Students through Emotional Intelligence Intervention
Authors: S. Dr. Nithya
Published: June 2021

India is the largest democracy in the world, and students are called future of the country. Schools are the place for the empowerment and development of good attitude-oriented personality students. The development of good attitude-oriented personality includes both cognitive skills and social cum emotional skills among school students that in turn would lead the country to be a developed country in the near future. In the present world of globalization, all the schools take good effort in imparting education that meet the requirements of present day globalised organizations. But at the same time, the schools are missing the key of upgrading the student’s social and emotional skills which would be the tool to retain success both in their professional and personal life. Hence the present study investigation would be an evidence for proving that upgrading the student’s social and emotional skills through Emotional intelligence intervention would lead to experience the empowerment and real transformation among school students of government schools. The present study would be an experimental study investigating the government school students’ Emotional intelligence before and after Emotional intelligence intervention.
An Enhanced Novel GA-based Malware Detection in End Systems Using Structured and Unstructured Data by Comparing Support Vector Machine and Neural Network
Authors: T Sai Tejeshwar Reddy
Published: June 2021

Aim: The aim of the work is to perform android malware detection using Structured and Unstructured data by comparing Neural Network algorithms and SVM. Materials and Methods: consider two groups such as Support Vector Machine and Neural Network. For each algorithm take N=10 samples from the dataset collected and perform two iterations on each algorithm to identify the Malware Detection. Result: The accuracy results of the Neural Network model has potential up to (82.91%) and the Support Vector Machine algorithm has an accuracy of (79.67%) for Android malware detection with the significance value of (p=0.007). Conclusion: classification of android malware detection using Neural Network algorithm shows better accuracy than SVM.
Comparative Study on MATLAB based JPEG Image Size Reduction Using Discrete Cosine Transform and Shearlet Transform for Mammogram Images with Potential Hospital Data Storage Applications
Authors: Srinivasan Naveen
Published: June 2021

Aim: The aim of this study was to compare Discrete cosine transform and Shearlet transform for mammographic image compression and determine better transform among them. Materials and methods: Sample mammographic images were collected- DCT (30) and Shearlet (30) for compression. Compression ratio was calculated by comparing the original and compressed image size. The significance of the data were calculated using SPSS software. Result: There was a statistical significance between DCT and shearlet based compression ratio data (p=0.035) deviation independent sample t test). Conclusion: DCT based compression ratio was higher (2.41) than the shearlet transforms (0.73). Hence, proving to be a better compression transform than its counterpart (shearlet).
Concurrent Down-regulation of the EAF1 and the EAF2 Genes in the Invasive Ductal Carcinoma Type of Breast Cancer
Authors: Heydaran Sogand
Published: June 2021

In mammals, the EAF1 and EAF2 genes build an active transcription module with other components. These genes code for factors acting as potent inhibitor of the Wnt-β catenin pathway, which might be due to their function as tumor suppressor gene. Recently, the involvement of both above-mentioned factors was described in some human tumors, but not yet in breast cancer. Breast cancer is one of the most cancer cases in Iran after colon and stomach carcinoma. We aimed therefore to investigate for the first time a possible correlation between breast cancer and the EAF1 and the EAF2 gene expression. We collected invasive ductal carcinoma tumor grading (grade 1 to 3) with marginal normal tissue from forty women diagnosed with breast cancer with the average age of 50 years old. All patients underwent triple marker test (ER/PR and Her2/neu), indeed the most of them were triple positive with few triple negative individuals. After RNA extraction, cDNA was synthesized for subsequent real-time polymerase chain reaction. The humanRPL27 gene wasusedas endogenous control. Analysis of real-time PCR results showeda significant down-regulation of EAF1 (p-value: 0.028), and of EAF2 (p-value: 0.0134) in tumor tissue samples in comparison to normal one.There was no correlation between clinical parameters and the target genes. We could find significant connection between both tumor suppressor genes in triple positive and triple negative breast cancer patients, which deserves more attention.
Ownership Structure and Commercial Banks Performance: An Empirical Study from Emerging Markets
Authors: Oudat Mohammad Salem
Published: June 2021

The current study seeks to investigate the relationship between ownership structure concentrations and commercial banks financial performance in one of emerging market (Bahrain). The current study employed panel regression analysis from 2015-2019 estimate the relationships between dependent and independent variables. The findings revealed that there is a positive impact of family, government and institutional ownership on financial performance measured by return on equity. Meanwhile, there is negative impact of family and institutional ownership on financial performance measured by earnings per share and a positive relationship with government ownership. The findings confirmed that the corporate governance implementation and a good ownership structure play a vital role in firm’s financial performance through reducing the agency cost. However, the current study suggests for future researches to examine other dependent and independent variables with extension the study duration and tackles other uncovered sectors in this study.
Multiple Object Recognition Using OpenCV
Authors: D. Kavitha
Published: June 2021

For automatic vision systems used in agriculture, the project presents object characteristics analysis using image processing techniques. In agriculture science, automatic object characteristics identification is important for monitoring vast areas of crops, and it detects signs of object characteristics as soon as it occurs on plant leaves. Image content characterization and supervised classifier type neural network are used in the proposed deciding method. Pre-processing, image segmentation, and detection are some of the image processing methods used in this form of decision making. An image data will be rearranged and, if necessary, a region of interest will be selected during preparation. For network training and classification, colour and texture features are extracted from an input. Colour characteristics such as mean and variance in the HSV colour space, as well as texture characteristics such as energy, contrast, homogeneity, and correlation. The device will be trained to automatically identify test images in order to assess object characteristics. With some training samples of that type, an automated classifier NN could be used for classification supported learning in this method. The tangent sigmoid function is used as the kernel function in this network. Finally, the simulated results show that the used network classifier has a low error rate during training and higher classification accuracy. In the previous researches Object detection has been made possible, but in our current research we have attempted to do live Object Detection using OpenCV and also the techniques involved in it.
The Impact of Pro-environmental Beliefs and Personal Norms on Green Cosmetics Purchase Intention: A Study of Gen Z in Vietnam
Authors: Hieuc Le Quang
Published: June 2021

Health consciousness and environmental issues have been concerned greatly in recent years. In the cosmetics industry, these considerations initiated a tendency for Generation Z (Gen Z) to purchase green cosmetics instead of chemical cosmetics. This paper summarizes several theoretical foundations to build hypotheses and framework examining factors affecting Gen Z 's purchasing intention towards green cosmetics. Based on Value - Belief - Norm Theory (Stern, 2000), this research focuses on exploring the influence of psychological factors on green purchasing intentions (GPI). In addition, this study investigates the mediating effects of pro-environmental belief and personal norms on the relationship between the value orientations and the green purchasing intention. Finally, researchers will analyse data collected from people of different gender, ages and their monthly spending on cosmetics. A total of 655 valid responses were gathered through online and offline surveys using convenient sampling techniques. The authors evaluate the reliability (Cronbach's Alpha) and validity (EFA) by using SPSS 25 software, and test the study hypotheses by using SmartPLS 3.7 technique. The findings reveal that hedonic (β=0.290) and egoistic value orientation (β=0.237) indirectly affect GPI while personal norm exerts significant influence on GPI directly (β=0.419). The findings of the study have important implications for formulating appropriate governmental public policies and developing better marketing strategies for green cosmetics brands to approach customers.
Methodological Aspects of the Internal Control Organization at the Enterprise and Financial Stability Analysis
Authors: Abdusalomova Nodira B.
Published: June 2021

The author analyzes the internal control organization in the management accounting system in this scientific article. In addition, the article is devoted to the definition of internal control and determination of the role of internal control in the financial and economic activities of the enterprise. As a result of the research, the author has developed proposals to analyze the key indicators, financial condition and profitability indicators reflected in the financial statements of the enterprise and to implement the process of planning internal control on the basis of improved stages. Moreover, the theoretical and methodological bases of the internal control system have been identified, ways to improve its reliability have been determined, and the method of organizing internal control in reliance upon the information system to raise production and sales, as well as to reduce costs has been proposed.
Application of Option Models in Evaluation of Innovative Projects of the Aviation Industry
Authors: Nikulina Elena Nikolaevna
Published: June 2021

The implementation of investment projects with a high-risk component, as well as innovative projects, is necessary for enterprises, despite the low values of the performance criteria. The theory of managerial options (real options valuation) is a tool that allows one to identify and evaluate additional opportunities (options) inherent in the project, which increase the efficiency of the original project and make it more attractive to potential investors. The mechanism considered in the study, in which the option to increase production volumes is used, allows an initially unprofitable project to be brought to a qualitatively new level.
Method of Determining the Minimum Required Number of Sorting Tracks, Depending on the Length of the Group of Wagons
Authors: Mansuraliyevich Suyunbayev Shinpolat
Published: June 2021

This article, based on the study of local and foreign experience, identifies the need to seek comprehensive solutions for the effective organization of the wagon-flows in JSC “Uzbekistan Railways”. Based on the processing of statistical data, it was determined that the length of a group of wagons in a one direction multi-group train is subject to the law “Erlang”. Based on the use of Fibonacci numbers to search for the best scheme for the formation of multi-group trains, the method of determining the minimum required number of sorting tracks depending on the length of the group of wagons has been improved. As a result of the application of this method by JSC “Uzbekistan Railways” at station “Chukursay”, the cycle time of the sorting hill was reduced by 12%, the time spent on sorting of transit trains was reduced by 5% and the processing capacity of the sorting hill was increased by 14%.
Impact of Exchange Rate and Oil Prices on Inflation in Pakistan
Authors: Qasim Tahira Bano , Ali Hina , Baig Alina , Khakwani Maria Shams
Published: June 2021

This study investigates the impact of Exchange Rate (Rupees Vs US $) and oil prices (Pak. Petroleum) and on the inflation rate in Pakistan by applying the Co-Integration technique to the monthly data for all the three series ranging from January 2004 to January 2019.  Unit root testing results provide strong statistical evidence for each of the series to be non-stationary at the level and stationary at first difference. Co-integration testing results confirm the existence of Cointegration among the selected time series.  Moreover, the empirical results of the regression of inflation on the exchange rate and oil price also lead to conclude that both the series have a strong statistical significant impact on inflation in Pakistan.
Relationship Between Motivation-enhancing HR Practices and Customer Satisfaction: The Mediating Role of Emotional Intelligence
Authors: Azhar Sarah , Sarwar Farhan , Ali Shoukat
Published: June 2021

This study describes and expounds link between motivation-enhancing HR practices (M-HRM) and customer satisfaction (CS). Motivation-enhancing HR practices include compensation & incentive (CI) and performance management (PM).The mediation of emotional intelligence (EI) is verified between the M-HRM and CS. The research was directed on 126 bank branches operational in Punjab (Pakistan) with 467 banking employees and 934 customers. The process of statistical analysis was performed by Structural equation modeling (SEM). A substantial relationship amongst all the variables of study (i.e. M-HRM, EI and CS) was established. It was clinched resultantly, that M-HRM exert impact on CS, through EI in direct as well as indirect ways.
Class Conflict in Siraiki Waseeb Before Islam
Authors: Akhtar Muhammad , Khan Muhammad Mumtaz
Published: June 2021

The history of class conflict in Siraiki Waseeb is as old as the Indus Valley Civilization. The history of Indus Valley is interpreted as a conflict of invading nations. The Siraiki Waseeb can be called the center of the valley. The class system of the Siraiki Waseeb is influenced by the arrival of various nations. The ancient Australoid tribes, the Dravidians and the Aryans had a profound effect on the civilization here. This division is wrapped not only in economic but also in the social cloak of religion. Along with the division of rich and poor, the system of division between pure and impure, masters and slaves, feudal, landlord and ‘kammi’ has sustained itself parallel to the caste system.  The roots of the class system are still embedded in the Waseeb. These class factors have been analyzed in the article under discussion.
Perception of Patients on Usage of Smartphones by Health Care Professionals during Clinic Hours
Authors:   Physiotherapy Department, Federal Medical Centre, Owo, Ondo - State. Nigeria., Bolarinde Samuel O
Published: June 2021

Background of the study: Smartphones medically related applications are quickly becoming one of the main tools for accessing clinical information among health care professionals. Aim of Study: This study assessed the perception of patients on usage of smartphones by health care professionals during clinic hours. Methodology: The study recruited 185 patients. Data on demographic characteristics and perception of patients on the use of smartphones for medical information were obtained using a self-administered questionnaire. Data were summarized using a descriptive statistics and inferential statistics of Chi square. Alpha level was set at 0.005 Results: 76 Males, 109 Females participated in this study. 67.6% (125) own a smartphones. 34.6% (64) have seen health care professionals using smartphones during clinic hours, 28.1% (18) had their health care providers explain to them reasons for using smartphone. 34.1% (63) agreed it was unprofessional for health care provider to use smartphone during clinic, 33.5% (62) disagreed, 32.4% (60) were undecided. No association observed between respondents’ age (χ2= 12.00, p= 0.606), educational qualification (χ2= 8.501, p= 0.075) and responses to the statement that use of smartphones by health care professional was unprofessional. Conclusion: Although one third of the respondents agreed that usage of smartphones by healthcare professionals in the clinic while attending to patients was unprofessional however, usage of smartphone for health related information by health care professionals during clinic hours should be with caution to avoid losing the confidence repose in them by their patients.
Analysis of the Implementation of Financial Statement Presentation Based on Financial Accounting Standards for Entities without Public Accountability at Pt Aurindo Jaya Perkasa Jakarta
Authors:   Accounting Study Program Universitas Krisnadwipayana Jakarta, Indonesia, Rejeki Dewi
Published: June 2021

The purpose of this study is to analyze the implementation of the presentation of PT Aurindo Jaya Perkasa's financial statements based on the Financial Accounting Standards for Entities without Public Accountability. The type of data in this study is in the form of company profiles and financial reports consisting of income statements and balance sheets for 2016. Data collection methods used are interviews and observation methods. The data analysis method used is the descriptive qualitative analysis method. The results obtained are: (1) The financial statements of PT Aurindo Jaya Perkasa are not following the Financial Accounting Standards for Entities without Public Accountability, because in the financial statements of PT Aurindo Jaya Perkasa, there are only profit and loss statements and balance sheets, while the complete financial statements are following accounting standards. Entity finances without public accountability include income statements, changes in equity, statements of financial position, cash flow statements and notes to financial statements. (2) Finance Division of PT. Aurobindo Jaya Perkasa still does not understand the preparation of financial reports following the Financial Accounting Standards for Entities without Public Accountability, both regarding the types of financial information and the items that must be presented in the financial statements.
Coronary artery aneurysm. Literature review and cases report in Venezuela
Authors: Silva C Gastón , Nasser Chadi , Yajure M Isaubett
Published: June 2021

Coronary artery aneurysm (CAA) is an uncommon condition and is defined as dilatation of the coronary artery exceeding 50 % of the reference vessel diameter or more than 1.5 times the diameter of normal adjacent segments or the diameter of the patient’s largest coronary artery. The reported incidence of coronary aneurysms ranges from 0.3 % to 5 %, with a predilection to men more than to women, and proximal than to distal segments of the coronary bed.
Fetus as a patient in pregnant women with COVID-19
Authors: Rivero Fraute Alexandra , Cabrera Carlos , Faneite Pedro , Vigil-De Gracia Paulino , Cuadra César
Published: June 2021

The fetus and placenta are an immunologically privileged unit, whose physiological changes during pregnancy intervenes in the behavior against SARS-CoV- 2, describing a theoretical potential teratogenic damage due to receptors ACE-2 expression, necessary for SARS-CoV-2 intracellular transport in the epiblast, vital in organogenesis, as well as the current pharmacological therapy teratogenic effects, abortions, and fetal demise.
Prevention of COVID-19 in pregnant women, eventual use of new vaccines
Authors: Cuadra-Sánchez César , Rivero Alexandra , Cabrera Carlos , Faneite Pedro , Vigil-De Gracia Paulino
Published: June 2021

Pregnant women who have COVID-19 have an increased risk of hospitalization and death; however, there are many restrictions for the application of COVID-19 vaccines on pregnant patients, mainly because there is no confirmation of the safety of their use during pregnancy. None of the vaccines approved to date are based on live attenuated SARS-CoV-2, so the possibility of generating an infection in the fetus is nonexistent.
Traquelectomía radical vaginal con biopsia de ganglio centinela, por laparoscopia. Presentación de un caso y descripción de la técnica quirúrgica
Authors: Calderaro Di Ruggiero Franco J , Rezic Skiljo Marko A , Belandria Elizabeth , García Viviana , Freytez Johatson
Published: June 2021

El cáncer de cuello uterino es uno de los tipos de cáncer más frecuentes en las mujeres a nivel mundial. En Venezuela ocupa el segundo lugar en incidencia y mortalidad. La histerectomía radical es el tratamiento estándar para estas pacientes en etapa temprana; sin embargo, para las mujeres que desean preservar la fertilidad, la traquelectomía radical es una opción segura.
COVID-19: Hematological and laboratory findings in patients from a private hospital in Caracas, Venezuela.Correlation with mortality
Authors: Müller A , Soyano A , Chirinos L , Ochoa A , P. Guillermo , V William , Ramírez I. , Galea A. , Comegna M , Ravard M , Otero K , Durán M , Piña J , Marcano H , Domínguez J , Serbanescu R , Ruiz F , Molina G , Flores M , Olivo E , Croce N
Published: June 2021

The first cases of COVID-19 in Venezuela occurred in mid-March 2020. The number of cases remained relatively low until May when it began to increase, reaching its maximum in August 2020. The purpose of this work is to present the clinical, hematological, and laboratory studies carried out on 139 patients hospitalized at the El Ávila Clinic, a private hospital in Caracas, between June 30 and September 15, 2020.
Consideraciones acerca de las vacunas de la COVID-19 en las embarazadas y madres lactante
Authors: Carvajal de Carvajal Ana Coromoto
Published: June 2021

Actualmente se disponen de vacunas con eficacia y seguridad comprobada en el binomio madre-hijo como la anti-influenza, antidiftérica, antitetánica y anti pertussis acelular. El método más efectivo en el control de las epidemias y pandemias es la vacunación, especialmente en grupos prioritarios a tener enfermedad grave como las embarazadas.
Procedimientos neuroquirúrgicos en parálisis cerebral. Estudio en 475 infantes, 1988-2018
Authors: Rodríguez R Jesús Manuel
Published: June 2021

Diversas patologías de manejo neuroquirúrgico pueden estar presentes entre niños y jóvenes con parálisis cerebral, lo cual puede interferir con las medidas terapéuticas físicas apropiadas, farmacológicas posibles o planes educativos adecuados a su problemática. Esta investigación tuvo como objetivo evidenciar, en infantes con parálisis cerebral, la presencia de diversas alteraciones susceptibles de ser tratadas mediante procedimientos propios de Neurocirugía, número y tipo de operaciones realizadas y causas por las cuales no se intervinieron los restantes.
Características clínicas y hallazgos en tomografía computarizada de tórax en pacientes con COVID-19
Authors: Vivas Juan Diego , Ramírez Adrian , Rolón Fredy , Sánchez José Vicente , Oses Alejandro , Sánchez Mario , Medina-Ortiz Oscar
Published: June 2021

La pandemia generada por el COVID-19 ha generado un enorme costo médico y socioeconómico, que ha llevado al campo científico y a las distintas asociaciones médicas a poner a disposición todos sus recursos para encontrar una solución pronta para afrontar esta patología. El objetivo de la presente revisión es describir las características clínicas y hallazgos en tomografía computarizada de tórax más relevantes en pacientes con COVID-19; mediante la identificación de artículos científicos en bases de datos.
Sentenced by an algorithm — Bias and lack of accuracy in risk-assessment software in the United States criminal justice system
Authors: Gravett Willem
Published: June 2021

Developments in artificial intelligence and machine learning have caused governments to start outsourcing authority in performing public functions to machines. Indeed, algorithmic decision-making is becoming ubiquitous, from assigning credit scores to people, to identifying the best candidates for an employment position, to ranking applicants for admission to university. Apart from the broader social, ethical and legal considerations, controversies have arisen regarding the inaccuracy of AI systems and their bias against vulnerable populations. The growing use of automated risk-assessment software in criminal sentencing is a cause for both optimism and scepticism. While these tools could potentially increase sentencing accuracy and reduce the risk of human error and bias by providing evidence-based reasons in place of ‘ad-hoc’ decisions by human beings beset with cognitive and implicit biases, they also have the potential to reinforce and exacerbate existing biases, and to undermine certain of the basic constitutional guarantees embedded in the justice system. A 2016 decision in the United States, S v Loomis, exemplifies the threat that the unchecked and unrestrained outsourcing of public power to AI systems might undermine human rights and the rule of law.
Rape: An unreasonable belief in consent should not be a defence
Authors: Schwikkard PJ
Published: June 2021

Section 3 of the Criminal Law (Sexual Offences and Related Matters) Amendment Act 32 of 2007 defines rape in the following terms: ‘Any person (‘A’) who unlawfully and intentionally, commits an act of sexual penetration with a complainant (‘B’), without the consent of B, is guilty of the offence of rape.’ This paper focuses on one component of the definition, namely fault. It is argued that a mistaken but unreasonable belief in consent should not be recognised as a defence and that a normative approach could soften the focus on the behaviour of the complainant and send a clear signal that our commitment to constitutional values requires us to take due care in our interactions with others. The argument is made with full awareness that law reform is a very small cog in addressing the scourge of rape.
Editorial
Authors: Bottino Andrea Giglio
Published: June 2021

Editorial Revista Femass, n. 3
Гендер тенглигини таъминлаш бўйича мукаммал ҳуқуқий ислоҳотларнинг ўзи етарлими (европа иттифоқи тажрибасига назар)?
Authors: Алиева Камола
Published: June 2021

Мазкур мақолада муаллиф томонидан гендер тенглигини таъминлаш бўйича глобал рейтинг, унда юқори турувчи Европа давлатларининг қонунчилик асосларини, миллий тажрибасини таҳлил қилган. Муаллиф қайд этишича, дунёда гендер тенглиги борасида Европа давлатларининг етакчи ўринда туриши нафақат миллий ҳуқуқий ва институционал асослар билан боғлиқ, балки ижтимоий ҳаёт, инсонларнинг онги ва дунёқараши билан чамбарс боғлиқ саналади. Шу боис, ушбу давлатлар конституциялари, махсус қонунлари ва гендер тенглигини таъминлаш бўйича стратегиясини таҳлил қилиш орқали, Ўзбекистон тажрибасига татбиқ қилиш бўйича таклифлар ишлаб чиқиш муҳим аҳамият касб этади.

Муаллиф томонидан хорижий тажриба ва халқаро ҳуқуқий ҳужжатларни таҳлили асосида Ўзбекистонда ушбу соҳадаги қонунчиликни такомиллаштириш зарур деган қатъий фикр илгари сурилади.
NANOSPONGES: AN EVOLUTIONARY TREND FOR TARGETED DRUG DELIVERY
Authors: Bilal J. Shaikh , Abhishek S. Patil , Ankush S. Bhosale , Indrayani D. Raut , Manojkumar M. Nitalikar
Published: June 2021

Recent developments in nanotechnology have made the framework for the growth of new nanoscale biomaterials with numerous potential uses in nanomedicine. The nanosponge is a new and emerging technology that can be used to target medicine delivery in a precise and regulated manner. Nanosponge is an important component of advanced medication delivery. It is a specialized assisting system for regulated medication delivery of both lipophilic and hydrophilic medicines in a regulated manner. Effective medication delivery at a specific location allowed for more exact control of release rates and boosted health-care system compliance, but the chemistry having complex shape complicated things. The invention of nanosponges, on the other hand, has provided significant approach to tackling this problem. The technology of Nanosponge has been studied widely for the delivery of drugs for oral, topical, and parental administration. Enzymes, proteins, vaccines, and antibodies can all be delivered effectively using nanosponges. It is more effective for targeted drug delivery systems because it improves solubility, bioavailability, and decreases side effects by releasing the drug at specific site. It has the ability to improve drug solubility and can be manufactured into oral, topical, and parenteral dose forms. This type of carrier system is best for drugs with low bioavailability. Nanosponges can contain both lipophilic and hydrophilic medicines. Nanosponges are extremely permeable, with a high proclivity for ensuring dynamic particles and programmable delivery. This review article discusses nanosponges in general, their advantages & disadvantages, mechanism; factors influence nanosponge, preparation methods, evaluation parameters as well as applications.
LONG LIFE EDUCATION DALAM PERSPEKTIF PENDIDIKAN AGAMA ISLAM
Authors: Nuryaumin Nuryaumin
Published: June 2021

National Education aims to develop abilities and shape the character and civilization of a nation with dignity in the context of educating the nation's life, aiming to develop the potential of students to become human beings who believe and fear God Almighty, have noble character, are healthy, knowledgeable, capable, creative, independent , and become a democratic and responsible citizen. Whereas in Islam, ordering high morals is the goal in Islamic education. And education must be formally conceptualized as a continuous process in individual life, from early childhood to adulthood, so that it is able to become a shield which is at the same time used as a filter and also used as a guide and behavior for adolescents to be used as a shield in facing the challenges of the times. . The concept of life education is the ability of those in charge of education in educating their students, because of their abilities. The responsibility for education, among others, is borne by parents as household educators, teachers (educators) as those in charge of education in schools and community leaders as those in charge of education in society. The concept of Islamic religious education in realizing life education is the need for association which is an environment that participates in educating someone.