International Journal of Health Sciences and Pharmacy (IJHSP) 2022-09-27T16:48:35+00:00 Managing Editor Open Journal Systems <ul> <li><strong>Country of Publication:</strong> India</li> <li><strong>Publisher: </strong>Srinivas Publication, Mangalore, Karnataka, India</li> <li><strong>Format:</strong> Open Access</li> <li><strong>ISSN:</strong> 2581-6012</li> <li><strong>Available from: <a href="">Crossref, Indian Citation Index, Zenodo, OpenAir</a></strong></li> <li><strong>Frequency:</strong> 2 Issues per year</li> <li><strong>Language:</strong> English</li> <li><strong>Scope:</strong> Multidisciplinary (Management, Technology, and Social Sciences)</li> <li><strong>Article Processing Charge:</strong> No</li> <li><strong>Fees: </strong>All publication are free of charge</li> <li><strong>Types of Journal:</strong> Academic/ Scholarly Journals</li> <li><strong>Open Access:</strong> Yes</li> <li><strong>Indexed &amp; Abstracted:</strong> Yes</li> <li><strong>Policy:</strong> Double blinded Peer Review</li> <li><strong>Publication Ethics: <a href="">Editorial Ethics Policy</a></strong></li> <li><strong>Review Time:</strong> Six to Eight Weeks Approximately</li> <li><strong>Contact &amp; Submission Email:</strong> <a href=""></a></li> <li><strong>Paper Format:</strong> <a href="">View Here</a> / <a href="">Download Here</a></li> </ul> <p> </p> <p><strong>International Journal of Health Sciences and Pharmacy (IJHSP) (ISSN - 2581-6411)</strong> is an international, not-for-profit, open-access bi-annually online Refereed journal that accepts research works from scholars, academicians, professors, doctorates, lecturers and corporate in their respective expertise of studies. The aim of IJHSP is to publish peer-reviewed research and review articles. The mission of this journal is to publish original contributions in its field to promote research in various disciplines. IJHSP aims to bring pure academic research and more practical publications. So it covers the full range of research applied to various sciences that meet future demands. All submitted articles should report original, previously unpublished (experimental or theoretical) research and results. All the submissions in the scope of IJHSP will be peer-reviewed. All submissions are also checked for plagiarism. The length of the manuscript must be between five (5) to twenty (20) journal pages excluding references.</p> A Machine Intelligent Based Approach for the Classification and Analysis of Tomato Leaf Disease Images 2022-09-10T10:34:58+00:00 Kalyan Kumar Jena Krishna Prasad K. <p><strong>Purpose: </strong><em>Vegetable production plays a vital role for the existence of human society. It is very much essential for the proper care of vegetable plants for better production of vegetables. However, vegetable plant leaf disease is a major concern in the current scenario. Tomato leaf disease is one of them. So, preventive measures should be taken to avoid the rise of tomatoes and other leaf diseases at the earliest for better production of vegetables.&nbsp;&nbsp; </em></p> <p><strong>Approach: </strong><em>In this work, a machine intelligent (MI) based approach is proposed for the classification of tomato leaf disease images (TLDIs) into the bacterial spot (BS), early blight (EB), late blight (LB), leaf mold (LM), septoria leaf spot (SLS), tomato mosaic virus (TMV), tomato yellow leaf curl virus (TYLCV) and healthy (HL) types. The proposed approach is focused on the stacking (hybridization) of Logistic Regression (LRG), Support Vector Machine (SVMN), Random Forest (RFS) and Neural Network (NNT) methods to carry out such classification. The proposed method is compared with other machine learning (ML) based methods such as </em><em>LRG, SVMN, RFS, NNT, </em><em>Decision Tree (</em><em>DTR), </em><em>AdaBoost</em><em> (ADB), </em><em>Naïve Bayes (</em><em>NBY), </em><em>K-Nearest Neighbor</em><em> (KNNH) and </em><em>Stochastic Gradient Descent</em><em> (SGDC) for performance analysis. </em></p> <p><strong>Result: </strong><em>The proposed method and other ML based methods have been implemented using Python based Orange 3.26.0. In this work, 1600 TLDIs having 200 numbers of each type such as BS, EB, LB, LM, SLS, TMV, TYLCV and HL are taken from the Kaggle source. The performance of all the methods is assessed using the performance parameters such as classification accuracy (CA), F1, Precision (PR) and Recall (RC). From the results, it is found that the proposed method is capable of providing better classification results in terms of CA, F1, PR and RC as compared to other ML based methods such as LRG, SVMN, RFS, NNT, DTR, ADB, NBY, KNNH and SGD. &nbsp;&nbsp;</em></p> <p><strong>Originality: </strong><em>In this work, a MI based approach is proposed by focusing on the stacking of LRG, SVMN, RFS and NNT methods to carry out the classification of TLDIs into several types such as BS, EB, LB, LM, SLS, TMV, TYLCV and HL. The proposed approach performs better in terms of CA, F1, PR and RC as compared to LRG, SVMN, RFS, NNT, DTR, ADB, NBY, KNNH and SGDC methods. &nbsp;</em></p> <p><strong>Paper Type: </strong><em>Conceptual Research.</em></p> 2022-08-31T00:00:00+00:00 Copyright (c) 2022 Kalyan Kumar Jena, Krishna Prasad K. Development of LsPQM-12 Instrument to Measure Leisure Specific Psychological Well-being and Quality of Life of Mothers of Children with Autism Spectrum Disorder 2022-09-10T11:29:57+00:00 Menezes Ida Sylvia K. T. Shwetha <p><strong>Purpose:</strong> <em>The purpose of this study was to develop a comprehensive tool to identify key components of leisure, thereby, examining the relationship between the prevalence of leisure (PLA) and psychological</em><em> wellbeing (PWB); and its overall effect on the quality of life (QOL) of mothers of children with Autism-Spectrum-Disorder (ASD) with the</em><em> demanding care of the child with autism.</em></p> <p><strong>Design/Methodology/Approach</strong>: <em>A cross-sectional design with interpretivism and an inductive approach a sample of 140 mothers of children with ASD, in India was used to develop this instrument. Structural equation modeling (SEM), partial least squares structural equation modelling (PL-SEM), and chi-square were used to analyze the scale items. Research data was interpreted by exploratory factor analysis and Confirmative factor analysis. Reliability was explored through split-half and internal consistency estimation using Cronbach's alpha.</em></p> <p><strong>Finding/Result: </strong><em>&nbsp;</em><em>The comprehensive outcome of quality of life (QOL) is measured as the result of engaging in the leisure of individual choice for self-replenishment, social connectedness, and happiness in life despite the demanding care of the child with autism. </em><em>The overall unidimensional reliability with Cronbach’s alpha value of the scale is 0.656 having reasonably strong reliability. The construct-wise reliability demonstrated between 0.654 and 0.840 showing a high-reliability level. The validity of the instrument was established by face, content, construct, convergent, and discriminant validity tests. Most importantly the measurement model of the LsPQM-12 instrument has shown 0.935 CFI, 0.097 RMSEA, and 0.053 SRMR.</em></p> <p><strong>Originality/Value<em>:</em></strong> <em>Leisure-specific quality of life of mothers of children with ASD as an outcome of acknowledgment of prevalence of leisure as well as the absence of leisure made possible by the development of this instrument. Thereby integrating daily leisure of short duration despite the demanding care of the child, towards the psychological wellbeing of the mother was the sequel of this study. Appraisal of time of mother’s leisure schedules in parallel with the child’s therapeutic interventions to raise overall QOL is the objective of the study.</em></p> <p><strong>Paper Type:</strong><em> Case study-based analysis.</em></p> 2022-08-31T00:00:00+00:00 Copyright (c) 2022 Menezes Ida Sylvia, K. T. Shwetha Knowledge, Attitudes, and Practices Associated with Biomedical Waste Management among Students in an Indian Teaching Hospital: A Cross-Sectional Study 2022-09-15T16:53:14+00:00 Thirumurugan E Gomathi K Yamuna Kalimunnisha Aathilakshmi <p><strong>Purpose: </strong><em>&nbsp;In developing countries, the medical waste management and treatment pose a great deal of concern because of the potential health and environmental hazards presented by this waste. Although India has guidelines on preventing and managing waste, the implementation is still difficult due to technological, economic, and social challenges, as well as insufficient training for the staff, students, in charge. This study aimed to measure the level of knowledge, attitudes, and practices among allied health science, physiotherapy, pharmacy, and nursing students about biomedical waste management.</em></p> <p><strong>Design/Methodology/Approach</strong>: <em>Using a structured questionnaire, data were collected from students of nursing, physiotherapy, pharmacy, and allied health at Nursing, Physiotherapy, and Allied Health Teaching Hospital. Based on the participant responses, statistical analysis was performed to compare the levels of knowledge, attitude, and practices between the study groups.</em></p> <p><strong>Findings/Results</strong>: <em>This study recruited 237 respondents in total, with 59.4% of the female participants and 40.5% of the study respondents representing men.</em> <em>Most (90.8%) of the study population fell within the 21–30 age range. The study analyzed students' knowledge of needle-stick injuries in the allied health sciences, physiotherapy, pharmacy, and nursing fields. Only PhD Scholars from Allied health science and Nursing Students had (&gt;90%) excellent knowledge about this topic. 42 (84%) Nursing, 20 (80%) Pharmacy, 13(26%) Allied health and 35 (70%) Physiotherapy undergraduate’s students had suffered from needle stick injuries in the past 24 months. </em></p> <p><strong>Originality/Value</strong><strong>: </strong><em>According to the study, there is a dearth of knowledge and awareness among students studying allied health sciences, physiotherapy, pharmacy, and nursing at private medical colleges in Tamil Nadu, India, concerning the risks associated with BM waste generation and the related laws and management.</em></p> <p><strong>Paper Type: </strong><em>Empirical Research</em></p> 2022-08-31T00:00:00+00:00 Copyright (c) 2022 The Application of Single Photon Emission Computed Tomography (SPECT) to Identify Neuropsychological or Psychiatric Disorders: a New Grandstand for Mental Health Sciences through Radiological Means 2022-09-27T16:48:35+00:00 Harisoorya A. U. Vidya N. <p><strong>Purpose:&nbsp;</strong><em>Brain Single Photon Emission Computed Tomography or SPECT scanning has acquired a strong, substantiation-based root over the last few decades, and is currently approved by professional bodies for a variety of reasons pertinent to psychiatric treatment. Unfortunately, only a small number of professionals use SPECT in clinical practice. This article explains why SPECT should be used more widely in clinical practice for difficult patients and lists several clinical applications where it might assist improve patient care.</em></p> <p><strong>Objective:&nbsp;</strong><em>The main objective of this paper is to throw light on the novel psychiatric/ psychological illness diagnosis through radiological means. More than computed tomography and magnetic resonance imaging, nowadays other radiological methods are being used to find out neuropsychological disorders. Here in this paper, the main center of attention is the SPECT scan and its uses in the domain of neuropsychology or psychiatry and what are the disorders that can be ruled out by using SPECT scan.&nbsp; &nbsp;</em></p> <p><strong>Design/Methodology/Approach:&nbsp;</strong><em>To prepare this paper, various secondary data have been collected and scientifically analyzed the contents to remove any vague or irrelevant content. Google scholar, research gate, academia, and various other online authentic platforms have been utilized to collect clinical data. All other unauthentic and nonreliable sources have been removed to make this paper a hundred percentage clear and accurate.</em></p> <p><strong>Findings/Result:&nbsp;</strong><em>The use of radiological images is not a frequent or common picture in the domain of psychiatry or neuropsychology, meanwhile it is not that uncommon to use all these radiological tools to rule out any common or complex neuropsychological or psychiatric disorders. It has also been observed that more than computed tomography or magnetic resonance image, single-photon emission computerized tomography is far better to diagnose as well as to perform differential diagnosis in the domain of all mental health sciences and neurology. It is also found that more than that computed tomography and magnetic resonance imaging, single-photon emission computerized tomography can be utilized to perform almost all complex and common mental problems as well as neurological disorders also.&nbsp; &nbsp;</em></p> <p><strong>Originality and Value:&nbsp;</strong><em>A novel and easily understandable comprehensive approach and interpretation have been made to make this paper useful and digestible to the whole society regardless of one’s educational background and profession. The main and apex aim of this paper is to make society aware of some popular psychological and neurological issues and the importance of the use of SPECT scan to rule out the disorder in a more accurate way.&nbsp; &nbsp;</em></p> <p><strong>Paper Type: </strong><em>Interpretive/ clinical data analysis paper</em></p> 2022-09-24T00:00:00+00:00 Copyright (c) 2022