bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphological Changes when Hemoben is Used in Bleeding from Acute Wounds of the Face-Jaw Area
Authors: Khurram K. Karshiev, Nurbek Z. Buriev Zayrulla B. Okboev, Rajabboy I. Israilov,
Published: December 2023

One of the main issues of modern medicine, surgery, traumatology, urology, gynecology, neurosurgery, oncology, otorhinolaryngology, maxillofacial surgery is to stop the mine flow during and after surgery. In recent years, the number of local mining equipment has been increasing. This raises the question of whether these agents should be chosen based on their efficacy and safety. The value of a local anti-mine agent is limited in most studies to the study of its hemostatic effectiveness, that is, its main criterion is the question of stopping primary and secondary mining. But when using these drugs for cleaning wounds, studying the effect of the drug on soft tissues on the surface of the wound will help to positively resolve the issue of primary wound burns.

Currently, due to the increasing exposure to anti-inflammatory substances in modern medicine, the development of new effective types of them is becoming an urgent issue. In this matter, local hemostatic drugs are of great importance. Local hemostatic drugs are used both for diffuse bleeding and for bleeding from large vessels. Today, there are various locally used hemostatic agents with different chemical compositions. Various chemical substances and their mixtures are used for their production. When checking the effectiveness of these substances, their safety level, ease of use, price and other factors are taken into account.

Despite the large number of local mine suppressants, among them there are very few drugs that can be used universally.Therefore, the creation of highly effective local mine deterrents is an actual issue.
New Signaling Systems of Nitric Oxide (No) and Vascular Adhesion Molecule Svcam-1 in the Diagnosis of Recurrent Ulcerative Gastroduodenal Bleeding
Authors: I. I. Yunusov, M. M. Usmanov, B. N. Tavasharov O. R. Teshaev, R. Kurbonov,
Published: December 2023

In this article, we presented the results of studying the prognostic significance of various clinical, laboratory, endoscopic factors, indicators of the severity of the patient's condition according to APACNE-III, the severity of blood loss and hemorrhagic shock, comorbidity and factors of the blood coagulation system in predicting the risk of bleeding in patients with peptic ulcer complicated by acute gastro-duodenal ulcerative bleeding. In a certain number of patients with acute gastroduodenal ulcerative bleeding, along with quantitative and qualitative risk factors for bleeding, the indicators of NO and sVCAM-1 were studied in a comparative aspect and their correlation was determined.
Multiple Influence of Vibration on Biochemical Brain Indicators
Authors: Elbek M. Mirjuraev, Askar U. Sadikov Shokhrukh Sh. Fatkhullaev, Mukaddaskhon A. Hamrakulova,
Published: December 2023

Dysfunction of the nervous system is one of the main manifestations caused by vibration. With repeated exposure to vibration, significant changes in the activity of enzymes and the content of the studied substrates in the brain tissue of experimental animals are observed. The observed changes in the activity of enzymes and the content of the studied substrates of brain tissue and the associated disturbances in the basic biochemical metabolic processes may be the direct cause of serious disorders of the functions of the nervous system. According to research results, it was revealed that exposure to general vibration leads to disturbances in the process of transamination of alanine-, aspartic-amino acids, cholinesterase, the activity of enzymes of the tricarboxylic acid cycle (GDH, SDH and MDH), alkaline phosphatase, ribonuclease and lactate dehydrogenase, as well as the content of total protein, serotonin, histamine and acetylcholine in the brain of experimental animals.
To Estimate the Levels of Serum Vitamins A, E, And C in Cervical Cancer Patients
Authors: SPS Kochar, Priya Kaushik, Sanjiv Kumar Bansal Naveen Kumar Singh, Sweta, Rajiv Sen,
Published: December 2023

Background

Cervical cancer continues to be a leading cause of cancer-related mortality among women in developing nations, including India. Worldwide, cervical cancer is the third most frequent malignancy among women. In comparison to urban regions, cervical cancer is more common in rural communities. This investigation find the impact of vitamins (A, E, and C) on cervical cancer severity in SGT Hospital patients was the goal of this study.

Aim and Objectives

To determine the levels of serum vitamin A,C and E in cervical cancer patients and healthy controls

To compare the serum level of vitamin A,C and E in patients with cervical cancer and healthy control

Materials and Methods

This study is conducted in Department of Biochemistry in collaboration with Department of Pathology, and Department of Gynaecology at SGT Hospital, Budhera, Gurugram's Faculty of Medicine and Health Sciences, this is hospital-based cross-sectional case control study. Subjects are 50 healthy volunteers who are age-matched from the general population as the control group. A signed and informed permission is obtained from each individual in both groups once they have been fully informed of the study's objectives. Before beginning the sample collection, institutional ethical committee approval is soughted. Samples are centrifuged at 3000 rpm for 10 minutes; the serum is separated from the clot in the plain tube. The plasma obtained after centrifuging the blood in the lithium heparin tube at 3000 rpm is decanted. Vitamins A and E is examined on zaivik by HPLC method and Vitamin C is examined by ELISA method

Results

Patients with cervical cancer had a significantly lower level of a parameter, such as serum vitamin A, C and E when compare with controls. Our study shows that serum vitamin A levels in the patients were 30.2 ±4.0 mcg/dl and 54.7 ±10.6 mcg/dl, respectively, with a p value of <0.05 which are lower when compared with controls. Vitamin E levels were also decreased in study group (4.5±1.5 mcg/dl ) than controls (11.9±2.7 mcg/dl ) having p value <0.05. Vitamin C levels in cases (1.83±0.3) mcg/dl were considerably lower than those in control groups 9.8±2.5 mcg/dl having p value <0.05.

Conclusion: Our results imply that lower antioxidant vitamin levels may contribute to the aetiology and development of cervical carcinoma, even if the precise mechanisms through which oxidative stress might cause cancer are still unclear.
Learning Behaviour Towards MOOCS: Data Analysis Through Excel in Research (Dater) Under UNESCO
Authors: Aggarwal Sandhya
Published: December 2023

MOOCs is a flexible online learning. Which brings together all the learners of the same interest at the global level. It emphasizes on learning by overcoming and leaving aside weak points like hesitation to understand something from any experts, geographical distance etc. At each stage of life, one can learn new things and expand their knowledge. If the reasons for non-completion of MOOCs are corrected, it can be made popular. The data in this study was collected through the MOOCs course DATER

(Data Analysis Through excel in Research). It was studied what problems observed in completing the MOOCs DATER (Data Analysis Through excel in Research). The study observed the learning behaviour towards MOOCs. What was the reaction of learners to the MOOCs, how do they perceive the MOOCs. Do they want to learn through it? If they want to learn through MOOCs, then why not complete it. What issues and challenges need to be resolved in order for everyone who wants to learn through MOOCs to complete it successfully.This paper acts as a bridge between the learners and the MOOCs developers. Definitely, this study is determined how beneficial having MOOCs is for learners and ways to lower dropout rates.
The Interplay of Language and Gender in Dominant Discourses: Examining the Masculine Bias in Language
Authors: Shuchi Srivastava, Deepak Kumar Vani K.,
Published: December 2023

Numerous studies have critiqued the stereotypical and essentialist assumptions inculcated by cultural artefacts and texts through the lens of feminism, poststructuralism, sociology, and linguistics. Notwithstanding the attempts to establish gender equality and inclusivity in contemporary times, the present study examines how language spreads and supports masculine biases through various dominant and popular discourses of society. The study considers the omnipresence of language in society and observes that language tends to legitimise the behaviour and preferences of men as dominant while objectifying or trivialising those of women. Taking a cue from Robin Lakoff’s deficit and dominant approaches, the paper chooses instances and examples from various discourses to study how language nourishes patriarchal attitudes and naturalises the domination of men over women. Though Lakoff’s perspectives came four decades ago, an overview of the present scenario reveals the contemporaneity of her observations in studying the masculine bias in language.
Solar Prediction in Multi-Area Networks Using Shallow Neural Network
Authors: Abhimanyu Singh, Sumit Saroha Vinita,
Published: December 2023

In the worldwide electric energy grid, power system operation depend heavily on the accuracy of solar energy forecasts. Thus, it is essential to guarantee that consumers receive a steady and consistent power supply. But because solar energy data is erratic, simple statistical and machine learning techniques are unreliable for predicting. Performance evaluation criteria, weather classification, predicting horizon, and other aspects all affect how well solar irradiance performs. As a result, it offers research on models for forecasting solar irradiance that use shallow neural networks. More than a thousand records of solar energy output are included in the dataset, together with meteorological data covering a full year. Various indicators are used to evaluate these models' performance. The model of the type that was chosen has a mean absolute error (MAE) of 0.24 and a mean square error (MSE) of 0.14.
Performance Analysis of Accuracy of Machine Learning Classifier in the Classification of Breast Cancer Disease
Authors: Ashish Kumar, Seema Verma Vrinda Sachdeva, Arun Kumar, Vasudha Arora,
Published: December 2023

The Breast cancer is recognized as a highly prevalent and life-threatening condition affecting women. In various domains, ML techniques have shown to be reliable predictors. In this study, medical data from Wisconsin breast cancer dataset were used to examine and compare supervised machine learning algorithms for predicting Breast diseases. There are several classifiers with varying level of accuracy, which is the research challenge. This paper suggests a method for enhancing the efficiency and precision of four distinct classifiers: Random Forest Tree, K- nearest neighbor (KNN), Logistic Regression, and SVM. To assess the efficacy of different algorithms, the evaluation employed both the AUC score and confusion matrix. The decision to utilize an algorithm is determined by an AUC score exceeding 0.5, which serves as an assessment metric validating the algorithm's efficacy. The employment of a machine learning technique hinges on achieving this threshold AUC score. Among all the machine learning algorithms tested, the Random forest tree attained the highest AUC score in the trial, reaching 1.0.
Employment Outcomes of Advanced Education Graduates in a State University: A Five-Year Retrospective
Authors: Joel A. Ciriaco, Emmie Jan E. Palmani Catherine L. Sumaculub, Hilda D. Darroca, Carmen L. Cruzata,
Published: December 2023

Postgraduate studies are essential in the academic field and industry, for they help produce highly employable graduates. The study investigated the employment outcomes of advanced education graduates in a state university over the past five years. Literature on employment outcomes of advanced education graduates suggests higher employment rates and earnings than those with lower levels of education. It shows a variation in employment outcomes across fields of study and types of employers. Descriptive quantitative research using a convenient sampling method was used in the study. Twenty-two graduates representing different fields and graduation years served as respondents. Results revealed that all respondents were permanently employed, the majority in the public system and a few in private institutions. The respondents perceived that their master's degree was a great help in their promotion, and they are also active and involved in educational organizations, with some serving as coordinators or heads.
Role of Parental Involvement in Student Education with Special Reference to Private College in Delhi
Authors: Sachdeva Aradhana Chadha
Published: December 2023

Education has experienced significant advancements and has permeated various spheres of human existence. It has played a crucial part in enhancing the economic position of a nation. Dr. APJ Abdul Kalam emphasized the importance of fostering patriotism among Indian citizens by encouraging them to envision a prosperous nation. He particularly directed his efforts towards the education of students and their aspirations for a developed India by the year 2020. This can be achieved solely through parental involvement in their children's education. Educational stakeholders ought to actively engage in students' education by actively participating in their academic progress, including assisting with homework assignments and fostering their motivation to achieve the desired learning outcomes. Parents have an active role in advocating for modifications to the expulsion criteria. The ability to alter attitudes and aspirations has the potential to motivate pupils to contribute to the betterment of their nation. This study aims to discuss the significance of parental involvement in children's lives, as well as the reciprocal involvement of children in their parents' lives. The active participation of parents in their children's education is an essential element that significantly contributes to the academic achievements and holistic growth of students. The involvement of parents in various activities such as assisting with homework, attending school events, and cultivating a conducive learning atmosphere at home has been associated with enhanced academic performance, favorable attitudes towards learning, and increased communication abilities. In addition, the engagement of parents in their children's education offers emotional and motivational assistance, fosters students' ability to overcome challenges, and bolsters their future academic opportunities. The acknowledgment and resolution of the obstacles and impediments to parental engagement are crucial in order to optimize student results. This abstract elucidates the diverse and intricate nature of parental involvement in education, underscoring its significance in fostering the comprehensive growth of pupils.
Lubrication of Squeeze Film Between Porous Rough Circular Plates with Rabinowitsch Fluid Model
Authors: Sharangouda Malipatil, Hanumagowda B. N. Bharati, Shivalingappa B. Patil,
Published: December 2023

In this paper it is analyzed that the theoretical study of lubrication of squeezing film connecting rough circular porous plates with Rabinowitsch fluid. By using Christensen’s stochastic theory for the lubrication of hydrodynamic rough surface modified Reynolds equation is derived. The patterns of  roughness of surface are considered in 1-dimensional for two types, which are radial and azimuthal roughness patterns. Squeeze film time, load support and pressure expressions are gained. In both radial and azimuthal patterns the squeezing film time, load carrying capacity and pressure are decreases in porous roughness pattern on the surface.
Leveraging Gray Wolf Optimization for Enhanced Security Management in Wireless Sensor Network
Authors: Surendra Yadav Zubair Ahmad Mir,
Published: December 2023

In the realm of enhancing security management systems within Wireless Sensor Network (WSNs) for Big Data applications, the role of optimization algorithms is pivotal. This chapter delves into the utilization of Gray Wolf Optimization (GWO) as a fundamental tool to achieve efficient resource allocation, node placement optimization, and the enhancement of data transmission efficiency within WSNs. A detailed exploration of the mathematical foundations of GWO is provided to foster a comprehensive understanding of its application in security enhancement.

In this paper  Gray Wolf Optimization (GWO) is a nature-inspired metaheuristic algorithm presented that draws inspiration from the social behavior of gray wolves in the wild. In our study, GWO is employed to optimize various parameters that significantly impact the efficiency and effectiveness of WSNs.
A Randomized Clinical Trial Comparing the Effect of Yoga and Thai Massage among Garment Industry Population with Non-Specific Low Back Pain
Authors: Savithri Nilkantham, Tosendra Dwivedi Keshavamurthy, Amit Singh, Vitsarut Buttagat, Divya B. R,
Published: December 2023

Background: Low back pain has an enormous societal and economic impact on the working-age population, and a large number of women are affected due to sedentary work environment. Treatment is often delayed as the symptoms are initially unclear and with progressive age, healthy ageing is compromised.  Hence the study investigates the effects of the Integrated Approach of Yoga Therapy (IAYT) and Thai Massage (TM) on Non-Specific Low Back Pain (NSLBP).

Method: We randomly allocated a total of 52 women employees from an Indian Garment Industry located in South Bangalore, into the IAYT group (n = 26, age 35.46 ± 7.78), and TM group (n = 26, age 34.23 ± 6.67).  For the IAYT group, a yoga therapy module for 45 minutes for 5 days a week for 12 weeks was administered and for the TM group, a set of self-stretching exercises combined with Thai self-massage using a back massage stick for the same duration was administered. The assessment was done at baseline and after 12 weeks for both groups on the clinical parameters, back disability, depression, anxiety, stress, pain intensity, and biofield energies using Electro Photonic Imaging (EPI).

Results: Statistical analysis was performed using Statistical Package for the Social Sciences, version 20.0 for Windows (SPSS Inc., Chicago, IL, USA).  For within-group analysis, the Wilcoxon signed-rank test was used and for between-group analysis, Mann-Whitney U test was used. The IAYT group showed reduced back disability, and pain intensity at (75.24% and 66.92%) respectively, comparatively better than TM at (65.32% and 62.73%) respectively. The IAYT group showed a better improvement in depression, anxiety, and stress at (75.44%, 64.48%, and 63.35%) respectively as compared to the TM group at (55.75%, 57.03%, and 52.31%) respectively with P<0.001. Further, the IAYT group has shown considerable improvement in weight, waist-hip ratio, BMI, respiratory rate and pulse rate at (1.88%, 3.68%, 2.23%, 12.32%, and 4.06%) respectively as compared to TM group at (1.7%, 2.19%, 1.92%, 3.61% and, 1.67%) respectively with P<0.05. In the scores of EPI, the IAYT group demonstrated significant improvement in stress and lumbar spine energy area levels at (13.96%, and 44.02%) respectively as compared to the TM group at (5.42%, and 7.16%) respectively with P<0.05.

Conclusions: IAYT seems to work more effectively for nonspecific low back pain than TM for female garment employees.
Faculty Professional Development in Private Colleges: Strategies for Enhancing Teaching and Research
Authors: Bhavik U. Swadia, D. Baskaran, Dipali Gupta N. Sumathi, Lakshmi S. R.,
Published: December 2023

This study examines the various approaches utilised in faculty professional development programmes within private institutions, specifically targeting the improvement of teaching and research skills. The multidimensional approach encompasses a series of seminars that address various aspects of teaching approaches, evaluation strategies, and technological integration. Engaging in conferences offers opportunities for professional networking and enables individuals to stay updated on the latest advancements within their respective academic fields. The establishment of mentorship relationships between seasoned and inexperienced faculty members facilitates the exchange of knowledge and the strengthening of skills. Financial assistance plays a pivotal role in stimulating faculty involvement in significant research endeavours, thereby making valuable contributions to the scholarly community. Finally, the promotion of collaboration, both internally and externally, inside the institution fosters an environment conducive to the development of collective knowledge and the utilisation of diverse techniques. This analysis emphasises the essential significance of faculty development in private schools, guaranteeing that educators possess the necessary skills and knowledge to succeed in their teaching practises and make substantial contributions to the progress of research within their respective academic fields. The main aim of the research is to explore &analyse the strategies of faculty professional development (FPD) in private colleges for enhancing teaching and research.
The Implications on Innovative Gamification Approach: Station Rotation Gamification (SRG) to Increase Student’s Motivation
Authors: Zaleha Abdullah Azlinda Shafie,
Published: December 2023

Engaging student in learning is a very challenging process. This problem will lead to reducing in students’ interest and motivation in learning. According to Yang and Newman (2019), station rotational gamification aims to boost students' motivation, engagement, and academic success. Station Rotational is a component of blended learning, which combines in-person and online instruction. As a proposed solution to this issue, gamification will be incorporated into rotational blended learning using different stations in this study. This will allow students to learn transferrable abilities and then use them at stations that are optimised for the particular talent.Although gamification has been the subject of prior studies, relatively few have offered it in blended learning and e-learning in higher education in an organised fashion. As a result, the implementation of Station Rotation Gamification in collaborative environments will provide an alternative solution to the engagement issue both inside and outside of the classroom. The suggested approach that was applied in this study is a quasi-experimental to gauge how motivated students are when employing Station Rotation Gamification in a group setting. Following a structured interview with the researcher, 33 motivating questionnaires will be given to the students to complete. The use of Talentlms.com was made to evaluate the validity of gamification in education.The next step is to calculate the means for each construct for the three phases of pre-intervention, interim intervention, and post-intervention. Throughout contrast, Perceived Competence and Perceived Choice show an increase from pre-intervention to interim intervention but both constructs decline during post-intervention. These 2 constructs, effort and value, are gradually increasing throughout these 3 stages. The suggested approach works better at boosting pupils' motivation. This study's key contribution is to normalise the contrast variation and remove lighting variation. Conclusion: Using the suggested strategy effectively and efficiently resulted in an increase in the motivation of the students.
Enhanced Entrepreneurship Training: Additional Criteria for Malaysian Skills Certificate (MSC) Program Instructor
Authors: Wan Nur Azura Wan Abdullah, Mohd Fahmy-Abdullah Mohd Fairus Md. Som, Shabandi Md Sarip,
Published: December 2023

The focus of this study is to identify and evaluate the criteria of instructors who conduct entrepreneurship training for the Malaysian Skills Certificate (MSC) training program. A total of 6 subject matter experts were selected as respondents to the study using the Fuzzy Delphi method. They consist of MSC instructors as well as entrepreneurship training from several training institutions. Several criteria were taken into account during the selection such as designation, level of education, expertise, work experience in the field of TVET training and entrepreneurship. Their selection is balanced between MSC training and entrepreneurship training. A questionnaire containing 8 items was given to all experts. The results of the evaluation by all respondents found that all these components and items have been accepted for use. Overall, they think that these instructor criteria can increase awareness, increase competence and can produce entrepreneurs among MSC trainees when the training is over.
Trust and Security Impact on the Customers’ Acceptance of E-Payment in Algeria: An Application of the Extended TAM
Authors: Muhamad Abrar Bin Bahaman Alaeddine Ziouache, Amirul Haqeem Bin Abd Ghani,
Published: December 2023

The primary objective of this study is to identify the key elements that are strongly associated with the intention of bank customers in Algeria to use electronic payment services.About 150 questionnaires were handed out among the Algerian bank customers by using clustered sampling in order to perform the statistical analysis for data analysis and findings.The Technology Acceptance Model (TAM) was utilized as the theoretical framework for this study.The findings indicate that there is a substantial relationship between trust in online payment and the intention to adopt digital payment methods among bank customers in Algeria. In contrast, the influence of security on the inclination to embrace electronic payment methods was determined to be negligible.This extensive study enhances our knowledge of the key determinants that significantly influence the inclinations of Algerian bank clientele towards adopting digital payment solutions instead of conventional means. The transition towards digital payments offers various benefits, such as enhanced efficiency, time conservation, and cost-efficiency.
Arvind Adiga’s Novel Contribution for Hovering Multifarious Fraudulation In India
Authors: Sukhdev Singh Md. Yaqub Alam,
Published: December 2023

The paper presents an analytical analysis on how "Arvind Adiga's novels" address the prevalent issue of widespread fraudulence in India, the suffering experienced by impoverished individuals, and the pressing matter of atrocities committed against the underprivileged. The artist's attention is directed towards his skill in addressing intricate and pressing themes, imbuing his narratives with vividness that captivates readers and engrosses them in his prose.
Biogenic Copper Nanoparticles from Combined leaf extracts of Catharanthus roseus (L.) and Abutilon Indicum(L.) and their biological effects – an In vitro study
Authors: L. Krishnasamy, C. Shanmuga Sundaram, R. Banupriya
Published: December 2023

Plant-based (Green) synthesis of Copper nanoparticles is of much interest to researchers currently because of its important applications in various fields of biotechnology. In this study, the production of copper nanoparticles (CuNPs) utilizing an ethanolic extract of Catharanthus roseus (L.) and Abutilon indicum (L.) leaves extract (CALE) and assess the therapeutical use of these nanoparticles. Preliminary phytochemical analysis was done by using this ethanolic crude extract of the combined plant. The phytochemical tests showed positive results for the phytochemicals alkaloids, phenols, tannins, terpenoids, and phytosterols.  The leaf extract was used for the synthesis of copper nanoparticles and in the reduction and capping of the combined leaf extract CuNPs, it was discovered that the bioactive phytoconstituents condensed tannins, played a crucial role by the reduction of copper ions was identified by the change in color from blue to light green. SEM image showed the morphology and size of the nanoparticles and their binding ability with the combined leaf extracts. The spherical biogenic combined leaf extracts of CuNP’s were measured to have a size between 5 and 25 nm by Scanning Electron Microscopy (SEM) examination, Ultraviolet-Visible spectroscopy (UV-Vis) showed maximum wavelength at 224nm and XRD showed three strong peaks for its crystallinity and maximum was observed at 2063.0. From their characterization of synthesized CuNPs anti-microbial and anti-inflammatory methods were assessed. The samples showed different diameters of zone of inhibition at different concentrations by using Ampicillin as positive control. The synthesized nanoparticles showed a concentration-dependent anti-inflammatory activity, and the protection percentage increased with an increase in the concentration of the samples.
Advancing Image Deblurring Performance with Combined Autoencoder and Customized Hidden Layers
Authors: Meysam Gorji, Elham Hafezieh, Ali Tavakoli
Published: December 2023

This article introduces a novel approach to image deblurring by combining a Fourier autoencoder model. The proposed model effectively removes blur artifacts and restores image details by capturing frequency information using the Fourier Transform. In addition, the article presents a method to enhance deblurring by identifying optimal directions using an autoencoder model, trained on a dataset of blurry and sharp images to learn latent features for removing blur and restoring clarity. The encoded representations are used by the decoder to reconstruct a sharper version of the input image. A combination of two autoencoder models is employed, with a Convolutional Neural Network (CNN) handling the initial deblurring process and a fully connected model optimizing the deblurring parameters. This integrated approach leverages the strengths of CNNs in feature extraction and the flexibility of fully connected networks to produce higher quality, clearer images.
Robust Stabilization of an Autonomous Underwater Vehicle in Depth Channel by PID Interval Type-2 Fuzzy Controller
Authors: Nadia Zendedel
Published: December 2023

To stabilize the autonomous underwater vehicle (AUV) in the depth plane, an adaptive two-layer supervisory controller has been designed. The high nonlinearity, time-varying, and uncertain dynamics of this robot make its control a complex problem. With the aim of depth stabilization, the linear model of the vehicle in the XZ plane is decomposed into two inner and outer models to be controlled by a dual PID controller. In the second control layer two interval type-2 fuzzy controllers adjust PID coefficients adaptively to stabilize the depth position and pitch velocity of the vehicle. As the simulation results, this combined adaptive control method guarantees the robustness performance of the controlled system against the big model parameter perturbations and measurement disturbances. However, PID and PID type-1 fuzzy controllers in some senarios cannot stabilize the position of the robot in depth.
Literature as an act of Engagement and Participation: Encouraging Autonomy in the Classroom
Authors: Zobeid kobra
Published: December 2023

This study reports on the effect of literary texts on learner autonomy. The study was conducted on a group of senior students majoring in TEFL at university. To this end, it purported to investigate students’ views of their responsibilities and decision-making abilities, as two major phenomena in the learner’s autonomy, in learning English. Further, their motivation level and the actual language learning activities they undertook inside and outside classroom with a view to gauging their readiness for autonomous learning were also measured. Sixty participants with similar knowledge in English were selected through a proficiency test to make sure the groups were nearly homogeneous. These subjects formed our experimental and control groups. Then, the experimental group was given some literary texts (short stories) to read and analyze the elements of the story during one academic semester. In order to assess all the subjects’ opinions about autonomous learning especially in second language learning, a questionnaire was used to collect the relevant data at the end of the semester. The results indicated that the lite4rary texts could boost the experimental subjects’ motivation abut could not achieve autonomous behavior at a satisfactory level in second language learning.
Basics of Biophilic Design and Iranian Garden
Authors: Fatemeh Mirzaei, Maleeha Taghipour
Published: December 2023

One of the critical themes in architecture that brings about comfort and calm for people is the interaction between man and the environment. Nature is now regarded as a cultural heritage in all nations due to the physical and mental necessity for man to interact with it. Historically, gardening has been one of the humans' methods to carry out this significant heritage. The biophilic hypothesis aims to reunite man and nature and return this lost contact. This research compares the perspectives of the Iranian and biophilic gardens to nature and humans to better understand these two crucial concerns. The Iranian garden is one of the oldest gardening models in the world and has been in use for many years. The study's descriptive-analytical research approach was used using documents and library resources. For this reason, it first discusses the biophilic design and its components. It explains the theoretical underpinnings of the Iranian garden, after which it compares and analyzes the information data in the findings section. The study's findings indicate that the biophilic theory and the Iranian garden share similar principles for appreciating and relating to nature and humanity. However, regarding the results, these two follow different paths. Biophilic focuses on issues related to physical and mental health. In contrast, the Iranian garden also considers the user's attention to the world of meaning and the promised paradise in addition to his physical and psychological needs.
Necessity and Importance of Corporate Social Responsibility
Authors: Amir Bayat
Published: December 2023

It is important to assess corporate social responsibility (CSR) from different perspectives. The decisions of managers may have significant impacts on different aspects of society. Therefore, it could be essential to measure the attention of managers to their social responsibilities when making a decision; an ineffective, unreasonable decision that disregards social impacts may impose irreparable harm to society. This study sought to evaluate factors that affect CSR, e.g., social capital and stakeholders, and factors that are affected by CSR, e.g., employee performance and customer loyalty. Data were collected through a review of the literature, including books and papers.
Impacts of Blue Ocean Strategy on Creativity in the Insurance Industry
Authors: Amir Bayat
Published: December 2023

This study seeks to assess the impacts of the Blue Ocean Strategy (BOC) on creativity in the Iranian insurance industry. Insurance companies have engaged in a bloody race in Iran without considering the specific, crucial components of the service industry, leading to a red ocean in the insurance industry. Hence, it is essential to adopt innovation strategies and eliminate unnecessary activities in order to focus on the real demand of customers as the core of the business and lay the ground to implement the blue ocean of the industry through value innovation. This study assessed the BOS dimensions, i.e., eliminate-reduce-raise-create (ERRC). A descriptive survey approach was adopted to investigate the hypotheses and answer the questions of the study. Dana Insurance Company was selected as the case study. Questionnaires were handed out to the employees and agencies of Dana Insurance in order to analyze the BOS dimensions. The importance of the ERRC dimensions was found to be in the raise>create>eliminate>reduce order
Development of Infrastructure and Invoices of Web Banking Software Based on Coreless Banking
Authors: Kamyar Safari
Published: December 2023

Today, many transaction-based analysis methods are used in non-core banking to evaluate web banking software based on customer data sets. The evaluation of the data set of the web banking software leads to the choice of canceling the customer's loan or rejecting the customer's request. This factoring work mechanism involves in-depth evaluation of the dataset or customer information. The data mining approach is described as the most common method for analyzing web banking software, focusing on different algorithms, such as infrastructure development. This important process includes the collection, analysis and final credit decision of various factors that are used to evaluate transaction-based programs. These sources are credit application forms, interbank data sharing, ledger data and the most key internal bank data. The scoring method in granting facilities is often known as scoring, which is actually a method of evaluating loan applications. At the same time, archives and records of past micro-facilities are evaluated to identify characteristics that have an important effect in discriminating between good and bad web banking software applications.
Experimental Investigation of the Effect of Microsilica on the Uniaxial Compressive Strength and Rupture Strain of Fine Sand
Authors: Alireza Abbasnejad, Ata Rezaei fard
Published: December 2023

In many areas, natural soil does not have necessary resistance, some additives such as cement and microsilica are added to increase their resistance. In this research, the effect of microsilica on the strength and physical characteristics of fine sand stabilized with cement in sand samples containing cement and microsilica will be discussed. For this purpose, samples of fine sand with three different ratios of cement (2, 4, and 6 percent of soil weight) and four different ratios of microsilica (0, 0.5, 1, and 1.5 percent of soil weight) were mixed with optimal moisture, after Two curing periods of 1 and 7 days were subjected to compression and uniaxial compressive strength tests. The results of the experiments indicate that with the increase in the amount of cement and microsilica, the optimum moisture content in the density increases, the specific weight of the mixture of sand, cement and microsilica increases by adding these materials up to a certain amount, but after that it begins to decrease. . With increasing processing time, uniaxial compressive strength and rupture strain both increase. With a curing time of 1 day, for a fixed cement ratio, the compressive strength of sand-cement increases with the increase of microsilica up to about 20% of the cement weight, but after that, the resistance ratio decreases.

With a curing time of 7 days for a constant cement ratio, the compressive strength increases with the increase of microsilica. It is also observed that in both curing times for different cement ratios, with the increase in the amount of microsilica, the relative deformation of the fracture increases.
Economic Analysis of the Spatial Distribution of Urban Poverty in Ray City: A Case Study
Authors: Mohadeseh Toghraei, Ali Tavakolan
Published: December 2023

This study aims to analyze the economic dimension of the spatial distribution of urban poverty in the twentieth district of Tehran city. The current study is practical in terms of the goal and analytical-descriptive in those of the component method. In this research, urban poverty has been investigated by census data of 2019 in the form of a social dimension with 8 indicators. Weighing indicators of this study has been done by the analytic hierarchy process (AHP) method. To present and analyze the urban poverty in the neighborhoods, the ARC-GIS software has been used. Eight indicators have been used to explore the economic dimension. The spatial representation of this dimension in the level of neighborhoods of Ray City depicted that in total and based on the available data for the economic dimension, there are five neighborhoods, i.e. 25%, which are in very high poverty (Sizdeh Aban, Shahid Beheshti, Alabin, Taqi-Abad, and Abbas-Abad); three of them, i.e. 15%, are in a high situation (Javanmard Qasab, Mansourieh, and Vali-Abad); six, that is to say, 30%, are in the medium level (Shahadat, Safaiyeh, Shahid Ghiori, Ibn Babawayh, Hashimabad, and Hamza Abad); three, that is, 15%, have a little poverty (Dillman, Firouzabadi, and Dolatabad), and eventually, two, i.e. 10%, have the better situation than the others.
The Theoretical Bases of International Capital Flows and FDI and the Possibilities of their Application in Practice
Authors: Mohsen Heydari, Toros Torosyan
Published: December 2023

FDI's deep theoretical foundations were formed in the 20th century and the late 50th-early 60s. The article reviewed the main theories of foreign investment, international technology corporations theory, the theory of international production cycle of the product, the market imperfection theory, oligopoly and FDI theory, internalization theory, through geese theory, etc. Analysis revealed the main theories explaining FDI trends in transition and developing countries.
"Armenian-Iranian Investments Cooperation"
Authors: Mohsen Heydari
Published: December 2023

FDI is a very important element for the development of each country, especially for developing countries, such as Iran and Armenia, which cannot invest in large high-technology projects. The article reviewed the dynamic and the structure of Armenian-Iranian FDI by sectors and analyzed the impact of regulation on the investment environment to attract FDI in the Republic of Armenia.
Biogenic Copper Nanoparticles from combined leaf extracts of Catharanthus roseus (L.) and Abutilon indicum(L.) and their biological effects – an In vitro study
Authors: C. Shanmuga Sundaram, R. Banupriya L. Krishnasamy,
Published: December 2023

Plant-based (Green) synthesis of Copper nanoparticles is of much interest to researchers currently because of its important applications in various fields of biotechnology. In this study, the production of copper nanoparticles (CuNPs) utilizing an ethanolic extract of Catharanthus roseus (L.) and Abutilon indicum (L.) leaves extract (CALE) and assess the therapeutical use of these nanoparticles. Preliminary phytochemical analysis was done by using this ethanolic crude extract of the combined plant. The phytochemical tests showed positive results for the phytochemicals alkaloids, phenols, tannins, terpenoids, and phytosterols.  The leaf extract was used for the synthesis of copper nanoparticles and in the reduction and capping of the combined leaf extract CuNPs, it was discovered that the bioactive phytoconstituents condensed tannins, played a crucial role by the reduction of copper ions was identified by the change in color from blue to light green. SEM image showed the morphology and size of the nanoparticles and their binding ability with the combined leaf extracts. The spherical biogenic combined leaf extracts of CuNP’s were measured to have a size between 5 and 25 nm by Scanning Electron Microscopy (SEM) examination, Ultraviolet-Visible spectroscopy (UV-Vis) showed maximum wavelength at 224nm and XRD showed three strong peaks for its crystallinity and maximum was observed at 2063.0. From their characterization of synthesized CuNPs anti-microbial and anti-inflammatory methods were assessed. The samples showed different diameters of zone of inhibition at different concentrations by using Ampicillin as positive control. The synthesized nanoparticles showed a concentration-dependent anti-inflammatory activity, and the protection percentage increased with an increase in the concentration of the samples.
Effect of Job Demand, Social Support and Decision Latitude on Burnout in Doctors Working in Private and Government Hospitals
Authors: Vibhuti Gupta, Hemant Verma, Sunil Gupta
Published: December 2023

Burnout in doctors is a critical issue that has been recognized in recent years. Burnout is characterized as a state marked with mental, physical as well as emotional exhaustion that is a result of prolonged and excessive stress. Doctors, particularly those in high-stress environments such as emergency rooms, intensive care units, and other specialties, are at increased risk of burnout which is due to the demanding jobs. This study investigated the effect of job demand, decision latitude (job control & skill discretion) and social support on burnout after controlling for demographic variables in Indian medical doctors. Burnout was assessed using Maslach Burnout Inventory-Human Services Survey (MBI-HSS) by Maslach, & Jackson (1981). Job demand and decision latitude were studied using measures developed by Karasek (1979). Finally, Social Network Scale by Lubben (1988) was used to measure social network. The sample consisted of 109 doctors from the city of Allahabad in Uttar Pradesh, India. The data from private practitioners was collected based on convenience whereas for government doctors the questionnaires were distributed through the Chief Medical Officer’s office in Allahabad. Results indicated that job demand, decision latitude and social support were all significantly correlated with job burnout. Type of practice was the only demographic variable significantly predicting burnout. Job demand and decision latitude were significant predictors of burnout. The major limitations of the study were in regards to its sample size and sampling method. The findings from this study hold important implications for researchers as well as practitioners. Suggestions for future research are also given.
Statistical Analysis and Distribution Modeling of Rainfall Data in Flood-Prone Regions of Karnataka State
Authors: Kokila Ramesh Kumudha H. R.,
Published: December 2023

This research paper presents a comprehensive analysis of southwest monsoon rainfall data in flood-prone regions of Karnataka State, employing suitable statistical techniques and data distribution modeling. The detailed analysis of the dataset helped in understanding rainfall patterns, which is essential in identifying flood risks in Karnataka.The analysis includes the computation of descriptive statistics, exploration of data stationarity and the application of distribution models to characterize rainfall patterns. Maximum likelihood estimator has been used to estimate the parameters involved in the data distribution modelling. Further, hypothesis tests were conducted to assess the goodness-of-fit of these distribution models. These models are found to be suitable for the dataset in comparison with the Gaussian models.
Three Parameter Generalized Gaussian Type Distribution
Authors: K. Srinivasa Rao V. Rohini Kumari,
Published: December 2023

In this article we introduced a three parameter generalized Gaussian type distribution. The various distributional properties like probability density function, moment generating function, the central moments etc., are derived. The estimators of the parameters are also obtained through the method of moments and maximum likelihood method of estimation. This distribution is useful in analyzing the random phenomenon arising at places like, agricultural experiments, biological studies, image processingetc,. This distribution also includes several of the earlier distributions like unimodal, bimodal, symmetric, leptokurtic and platykurtic distributions for particular values of the parameters.
Transformative Experiences: Zoho's AI Writing Solutions
Authors: Prajna Pani, Amir Prasad Behera Sreeyasree Kumari Deb,
Published: December 2023

The swift and incessant advancement of technology has influenced learning in various aspects. Technology and English language education are highly related to each other. As writing is difficult, complex, and challenging for an English language learner than speaking, the integration of traditional learning approaches and technology is crucial in improving the participants' writing performances. This paper explores the benefits of Zoho's AI-based Writing tool. The participants were randomly selected from a private university in Odisha. Zoho's smart writing assistant checks the content and offers suggestions to improve grammar, punctuation, spelling, and writing style. The respondents are divided into two target groups using the same instructions, with the exception that one group could use Zoho and the other could write in the traditional way. The results of this study revealed that Zoho could be utilized for improving the writing performance of the learners.