Psychology and Education Journal <h2><strong>PSYCHOLOGY AND EDUCATION (ISSN: 1553-6939)<br /></strong></h2> <div class="row" style="border: 1px solid grey; padding: 5px; text-align: justify;">Dear Authors and Researchers,<br />We would like to inform you that the U.S. ISSN Center at the Library of Congress has confirmed that the correct ISSN number of the Journal <strong>Psychology and Education</strong> is ISSN 1553-6939. This ISSN is to be used instead of ISSN 0033-3077 which is the ISSN that belongs to the former title, “<strong>Psychology</strong>.” Each time a journal undergoes a major change of title a new ISSN is assigned. <strong>Psychology and Education</strong> also has been assigned a Linking ISSN (ISSN-L). The ISSN-L is available for use when there is a need to identify and link to a continuing resource without regard to format, for example in services such as OpenURL, library catalogues, search engines or knowledge bases. The next issue of <strong>Psychology and Education</strong> will be published with ISSN 1553-6969. But the previous ISSN will be also available in the ISSN Portal to retrieve the record for <strong>Psychology</strong> because it remains the identifier for the former title <strong>Psychology</strong> and the articles published under that title.</div> <div class="row"> <p style="text-align: justify;"> </p> <p style="text-align: justify;"><strong>Psychology and Education</strong> <strong>(ISSN: 1553-6939)</strong> is a quality journal devoted to basic research, theory, and techniques and arts of practice in the general field of psychology and education. <strong>Psychology and Education</strong> is published bimonthly. There are numerous papers on important aspects of psychology and education which can find no place in the professional literature. This journal is dedicated to filling this void.<br />Preparation of manuscripts: In formal aspects, the manuscripts should follow closely the general directions given in the Publication Manual of the American Psychological Association (6th Edition). EXCEPTIONS: All data in photographs, tables, drawings, figures and graphs must be simplified and stated in the RESULTS section of the paper. All papers must be formatted in MSWord, typed, Times New Roman font #12, double-spaced, with 1 inch margins, and submitted electronically or printed manuscript in original copy. Manuscripts must be accompanied by an abstract of about 70-100 words. The manuscript and abstract should conform to the American Psychological Association Manual Style, 6th Edition.<br />Given the present trends in the publishing industry and to reach the global audience without any restrictions, we have opted to move the journal from subscription-based to Gold open access.<br />A shift in this mode has certain benefits:</p> <ul> <li>Increased usage and citation</li> <li>Easy compliance with institutional and funder mandates</li> <li>Retention of copyright by authors</li> <li>Greater public engagement</li> <li>Faster impact</li> </ul> <p style="text-align: justify;"><strong>Psychology and Education</strong>, the Editor, nor the Board of Editors (individually or collectively), assumes no responsibility for statements of fact or opinion in the papers printed. Authors are responsible for obtaining copyright permissions. Advertising rates supplied on request. Books for review should be sent to the Editor.<br />Articles in <strong>Psychology and Education</strong> are listed in PsycINFO, American Psychological Association (APA), Scopus,, and shared with other websites, and numerous gratis copies are mailed to the Library of Congress, EBSCO subscription services, and universities in developing countries overseas.</p> </div> Psychology and Education en-US Psychology and Education Journal 1553-6939 Chemical Bath Deposited Cadmium Sulphide Thin Film Structural Analysis <p>Chemical Bath Deposition was used to deposit a thin coating of Cadmium Sulphide. Deposition of thin films using the Chemical<br>Bath Deposition Approach is the simplest, most straightforward, and most cost-effective method available. The Cd+2 ions came from Cadmium<br>Sulphate, whereas the S-2 ions came from Thiourea. The pH of the reaction mixture was maintained with aqueous ammonia, and the complexing<br>agent triethylamine was added. A 484 nm thick yellowish-orange CdS film was deposited. The deposited thin film's X-ray diffraction pattern<br>exhibited a hexagonal/cubic crystal structure combination. The observed d values and the conventional d values coincided quite well.</p> SK ABDUL RAHEEM,S SRIDAR Copyright (c) 2022 2019-01-11 2019-01-11 56 1 1 3 BREAKING NEWS ARTICLE ANNOTATION USING IMAGE AND TEXT PROCESSING <p>Building upon recent Deep Neural Network architectures, current approaches lying in the intersection of Computer Vision and Natural Language Processing have achieved unprecedented breakthroughs in tasks like automatic captioning or image retrieval. Most of these learning methods, though, rely on large training sets of images associated with human annotations that specifically describe the visual content. In this paper we propose to go a step further and explore the more complex cases where textual descriptions are loosely related to the images.</p> B. Bhaskar Reddy, P. Imran Khan, Dr. B. Dhananjaya 528 Copyright (c) 2022 2022-04-01 2022-04-01 56 1 11 17 The The Robust Nurse Scheduling Problem <p>In hospitals, nurse scheduling and assignment is a major issue. In order to keep <br>hospital expenses down and respect the preferences of the nurses, a well-planned schedule is <br>needed. For the nurse scheduling problem (NSP), we provide a novel mathematical formulation <br>that incorporates certain additional restrictions. For coping with uncertainty, we also present a <br>resilient equivalent to the deterministic model, which is based on the worst-case scenario A future <br>project will focus on developing a solution and putting it into action.</p> 1Prof. V. Sujatha,2 Prof.T. Poornima3Prof.E. Sumalatha,4Prof.K. Prasanna,C. Vasantha Kumari, Copyright (c) 2022 2022-02-01 2022-02-01 56 1 18 23 Model for End-to-End Wireless Data Transmission based on the MPVLC Li-Fi Standard <p>The Li-Fi system uses visible light to transmit<br>multimedia data, making it a cutting-edge innovation. As an<br>alternative to Wi-Fi, the Li-Fi communication system uses light<br>signals to convey data. Transmitting multimedia data using LED<br>bulbs, which enable quicker transmission, is made possible by Li-<br>Fi, a technique that uses light particles to carry multimedia data.<br>Several aspects must be taken into account while constructing a Li-<br>Fi based transmission system prototype, such as high data rate,<br>distance, and the LOS (loss of signal integrity). Using these<br>parameters, you may model a Light Fidelity system. The range and<br>cost-effectiveness of a multi-point VLC system and solar<br>component with better data rates at limited network coverage and<br>powerless locations are the primary challenges. For high data<br>rates, the VLC source and destination components must be<br>compatible. Lights are traditionally used in communication as a<br>means of incursion and as a way to maximise delay. VLC is a<br>favoured communication paradigm because of its high throughput<br>and secure transmission from light particles, which is a solution to<br>the aforementioned light-based transmission challenges. To<br>improve capacity, efficiency, and availability at limited network<br>coverage, the suggested Multi-Point Visible Light Communication<br>Li-Fi model delivers high-speed communication.</p> B. Bhaskar Reddy, P. Imran Khan, Dr. B. Dhananjaya Copyright (c) 2022 2022-06-19 2022-06-19 56 1 24 27 Multiple Instance Learning for Automatic Content-Based Classification of Speech Audio <p>Speech analytics researchers are working to improve<br>their ability to decipher audio material. This research presents a<br>new method for classifying news audio clips based on their<br>content, called the Multiple Instance Learning (MIL) approach.<br>Audio classification and segmentation benefit from content-based<br>analysis. As a starting point, a classifier that can predict the<br>category of an audio sample has been proposed. Perceptual<br>Linear Prediction (PLP) coefficients and Mel-Frequency<br>Cepstral Coefficients (MFCC) are two kinds of features used for<br>audio content identification (MFCC). For classification, two MIL<br>approaches, mi-Graph and mi-SVM, are used. Different<br>performance matrices are used to assess the outcomes gained via<br>the use of various approaches. The results of the experiments<br>clearly show that the MIL has great audio categorization<br>capacity.</p> B. Bhaskar Reddy, P. Imran Khan, Dr. B. Dhananjaya Copyright (c) 2022 2022-06-19 2022-06-19 56 1 28 32 BREAKING NEWS ARTICLE ANNOTATION USING IMAGE AND TEXT PROCESSING <p><em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Building upon recent Deep Neural Network architectures, current approaches lying in the intersection of Computer Vision and Natural Language Processing have achieved unprecedented breakthroughs in tasks like automatic captioning or image retrieval. Most of these learning methods, though, rely on large training sets of images associated with human annotations that specifically describe the visual content. In this paper we propose to go a step further and explore the more complex cases where textual descriptions are loosely related to the images. </em></p> <p><em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; We focus on the particular domain of news articles in which the textual content often expresses connotative and ambiguous relations that are only suggested but not directly inferred from images. We introduce an adaptive CNN architecture that shares most of the structure for multiple tasks including source detection, article illustration and geolocation of articles. Deep Canonical Correlation Analysis is deployed for article illustration, and a new loss function based on Great Circle Distance is proposed for geolocation. Furthermore, we present BreakingNews, a novel dataset with approximately 100K news articles including images, text and captions, and enriched with heterogeneous meta-data (such as GPS coordinates and user comments). </em></p> <p><em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; We show this dataset to be appropriate to explore all aforementioned problems, for which we provide a baseline performance using various Deep Learning architectures, and different representations of the textual and visual features. We report very promising results and bring to light several limitations of current state-of-the-art in this kind of domain, which we hope will help spur progress in the field.</em></p> B. Bhaskar Reddy1 P. Imran Khan2 Dr. B. Dhananjaya3 Copyright (c) 2022 2019-08-15 2019-08-15 56 1 34 40 TWINNING TRANSNATIONALISMS AND INDIC IDENTITY IN THE MODERN WORLD: INDIAN DIASPORA ENGAGEMENTS AND IDENTITY IN THE EUROPEAN UNION <p>The uniqueness of the presence of Indian diaspora in Europe lies in the fact that it is primarily<br>a post World War II phenomenon; also, it is essentially a skill-based emigration. Though this<br>is similar to the emigration of Indians to the other parts of the developed world, yet, history<br>of the Indians diaspora in Europe is different due to colonial experiences of the same nations<br>in the past. Indian population in Europe amounts to about 5-8 % of the total population of<br>Europe. Indian emigration to the European Union countries took place in response to demand<br>for labour and skilled professionals for the economic reconstruction of Europe. These Indian<br>diasporas who have been settled in the European nations have contributed immensely to their<br>host nations and showcase a distinct identity building process.</p> BASHABI GUPTA Copyright (c) 2022 2022-06-23 2022-06-23 56 1 41 51 Designing an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier <p>Intrusion detection system (IDS) is one of extensively used techniques in a network topology to safe guard the integrity and availability of sensitive assets in the protected systems. Although many supervised and unsupervised learning approaches from the field of machine learning have been used to increase the efficacy of IDSs, it is still a problem for existing intrusion detection algorithms to achieve good performance. First, lots of redundant and irrelevant data in high-dimensional datasets interfere with the classification process of an IDS. Second, an individual classifier may not perform well in the detection of each type of attacks. Third, many models are built for stale datasets, making them less adaptable for novel attacks. Thus, we propose a new intrusion detection framework in this paper, and this framework is based on the feature selection and ensemble learning techniques. In the first step, a heuristic algorithm called PSO-SVM is proposed for dimensionality reduction, which selects the optimal subset based on the correlation between features. Then, we introduce an ensemble approach that combines CART, C4.5. Finally, voting technique is used to combine the probability distributions of the base learners for attack recognition</p> L K Suresh Kumar Copyright (c) 2022 2022-07-30 2022-07-30 56 1 52 72 “Strategic Human Resources Practices: Role in Organizational Innovation and Knowledge Management Capacity” <p>Dynamic and non-dynamic sets of todays businesses make companies move to innovation. In particular, companies must take part in a variety of innovation activities in order to increase their competitive advantage and lead to long-term survival. Exploring and exploiting a variety of innovations attracted the attention of many people in the field of literature. Previous research found that organizational innovation was related to firm performance, corporate strategic targeting, productivity, and organizational culture. The purpose of this research was to examine how strategic HR policies affect the ability of businesses to explore and utilize new areas of knowledge (knowledge sharing and knowledge application). All of the different types of businesses in India were surveyed (N = 109). Regression analysis showed that only specific strategic human resources strategies were predictive of creativity in the workplace.</p> Ms. Neeru Gupta, Ms. Shailja Thakur Copyright (c) 2022 2019-12-10 2019-12-10 56 1 73 83 In-Silico Design, Docking Studies and Synthesis of Some Novel Heterocyclic Compounds <p>This study, I hoped that these compounds may produce more effective, efficient and potent application for antifungal and antibacterial effects. The purpose of this study is to test the antioxidant, anti-tubercular, and anti-fungal properties of the produced chemicals. One of the main approaches in developing potent drug molecule is based on the structural modification based on docking studies. Nitrogen containing heterocyclic system is indispensable structural unit for both the chemist and biochemist</p> Dr. D. Jothieswari, Dr. Kavitha S, G. Neelima, V. Ananda Deepak Copyright (c) 2022 2022-08-06 2022-08-06 56 1 84 96 Development of Temozolamide Solid Lipid Nanoparticles: Formulation, in vitro characterization and invivo pharmacokinetic studies in animals <p>In this work, water-soluble prodrugs with reduced T1/2 were encapsulated into nanobeads via surfactant polymer ionic-gelation cross linking and targeted to the colon using Eudragit-S-100. FT-IR, DSC were used to characterise Capecitabine and nanobeads. Zeta Sizer, SEM, Drug loading, Entrapment efficiency, in-vitro and in-vivo pharmacokinetic investigations described Capecitabine nanobeads. The weight fluctuation, hardness, and friability of Capecitabine nanobead tablets were tested. The optimization of formulation and process variables by 23 factorial design using Expert-Design software shows that increasing the speed of the Hi-Speed Homogenizer (a process variable) decreases the size of the Capecitabine nanobeads. The concentration of Calcium chloride (Cacl2 percent, a formulation variable) also affects the size of the beads, and 3 percent Cacl2 is the best concentration for preparing Capecitabine nanobeads. Capecitabine and nanobeads' physicochemical properties were confirmed. DSC showed that Capecitabine and polymers were compatible, and the medication was somewhat amorphous and distributed in polymer matrix. Characterization of Capecitabine nanobeads characteristics showed that F2 is superior to F1 and F3.</p> Dr. K. Bhaskar Reddy, N. Audinarayana, G. Swapna, M.D. Kusuma Priya Copyright (c) 2022 2022-08-06 2022-08-06 56 1 97 112 SPEAKING ENFORCEMENT THROUGH BRAIN BASED-LEARNING AMONG BACHELOR OF PHYSICAL EDUCATION STUDENTS <p>The ability to communicate effectively is not only necessary for higher academic performance, but also for a successful future career in many fields. Achieving success in any organization, whether as a promoter, an employee, or any other member of society, requires strong communication skills. For the purpose of determining the level of speaking enforcement, the descriptive design was used (organization, content and delivery). The data was counted and assessed using a variety of methodologies, including frequency counts and percentages, among others. The findings of the study indicate that the respondents' level of speaking enforcement is competent, as shown by a mean score of 11.19. It was also shown that there is no statistically significant association between the speaking enforcement of &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;BPEd students and their gender or their first language. Although there is a strong association between the speaking enforcement of BPEd students and the type of secondary school from which they graduated, this relationship is not statistically significant. As a result, kids' brain- based learning should be encouraged more, and they should participate in more speaking activities in order to improve their speaking enforcement.</p> Eduardo Acebo Carag Copyright (c) 2022 2022-08-08 2022-08-08 56 1 113 123