Pub Date : 2024-03-15DOI: 10.31893/multiscience.2024158
Eva Harista, Chitra Fraghini, Aisyah Pratiwi
The nearly extinction of Riau Malay poem is the result of the youth neglect on their own culture. Then, the existence of literature must be preserved by introducing Riau Malay poem to them especially to students through learning literature appreciation based on local wisdom. The purpose of this research is to study the positive psychology of Riau Malay poem and its integration in literary appreciation learning. In this qualitative research, observation, interview and documentation were used to collect the data. The techniques analysis data used in this research were data collection, data reduction, data display, and conclusion drawing/verification. Seligman’s theory were used to examine the positive psychology. The data sources of this research were the committee of Riau Province Malay Customary Institution, Indonesian Language teacher, and 90 students of State Junior High School 6 Pekanbaru City, Riau. Riau Malay poem in Malay Teaching Guide (Tunjuk Ajar Melayu) consists of life and in learning appreciation of literature based on local wisdom. The integration of Riau Malay poem in literary appreciation learning can be applied through the following stages: 1) determining the material for Riau Malay poem, 2) heeding to the reciting of Riau Malay poem, 3) comprehending Riau Malay poem, and 4) demonstrating Riau Malay poem reciting.
{"title":"Positive psychological studies of Riau Malay poem and its nntegration in literary appreciation learning","authors":"Eva Harista, Chitra Fraghini, Aisyah Pratiwi","doi":"10.31893/multiscience.2024158","DOIUrl":"https://doi.org/10.31893/multiscience.2024158","url":null,"abstract":"The nearly extinction of Riau Malay poem is the result of the youth neglect on their own culture. Then, the existence of literature must be preserved by introducing Riau Malay poem to them especially to students through learning literature appreciation based on local wisdom. The purpose of this research is to study the positive psychology of Riau Malay poem and its integration in literary appreciation learning. In this qualitative research, observation, interview and documentation were used to collect the data. The techniques analysis data used in this research were data collection, data reduction, data display, and conclusion drawing/verification. Seligman’s theory were used to examine the positive psychology. The data sources of this research were the committee of Riau Province Malay Customary Institution, Indonesian Language teacher, and 90 students of State Junior High School 6 Pekanbaru City, Riau. Riau Malay poem in Malay Teaching Guide (Tunjuk Ajar Melayu) consists of life and in learning appreciation of literature based on local wisdom. The integration of Riau Malay poem in literary appreciation learning can be applied through the following stages: 1) determining the material for Riau Malay poem, 2) heeding to the reciting of Riau Malay poem, 3) comprehending Riau Malay poem, and 4) demonstrating Riau Malay poem reciting.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"9 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-15DOI: 10.31893/multiscience.2024153
Shrinivas R. Patil, Smita Nadiger Jadhav, Suvarna Nimbagal
Environmental, Social, and Governance (ESG) influence on stock market investing decisions is becoming more prevalent as a vital aspect of sustainable development. This study aims to investigate the ethical implications surrounding the utilization of technology in the context of Environmental, Social, and Governance - ESG investing and its essential role in fostering unbiased decision-making. In addition, this research also attempted to examine the multifaceted dynamics and challenges that arise when digital tools are leveraged to assess ESG factors in investment strategies. We employ a quantitative research approach and statistical methods, including regression and structural equation modeling to examine the relationships between ESG, Digital Technology adoption, and Sustainable Investment decisions by incorporating the Ethics of AI and the Theory of Planned Behavior (TPB). The result indicated -ESG investing, highlighting the growing importance of ethical considerations in financial decision-making. It then delves into the integration of technology, specifically artificial intelligence, into ESG assessment processes. This technological advancement has the potential to enhance the accuracy and timeliness of ESG evaluations, yet it also introduces complex ethical dilemmas related to data privacy, algorithmic bias, and transparency. This study provides a comprehensive overview of ESG investing, highlighting the growing importance of ethical considerations in financial decision-making. The results of the study have implications for investors, policymakers, regulators, and society in general. The study helps investors make wise decisions and penetrate new markets. The research contributes to the literature on ESG investing. It then delves into the integration of technology, specifically artificial intelligence, into ESG assessment processes.
{"title":"A study on ethical implications of using technology in ESG investing and ensuring unbiased decision making","authors":"Shrinivas R. Patil, Smita Nadiger Jadhav, Suvarna Nimbagal","doi":"10.31893/multiscience.2024153","DOIUrl":"https://doi.org/10.31893/multiscience.2024153","url":null,"abstract":"Environmental, Social, and Governance (ESG) influence on stock market investing decisions is becoming more prevalent as a vital aspect of sustainable development. This study aims to investigate the ethical implications surrounding the utilization of technology in the context of Environmental, Social, and Governance - ESG investing and its essential role in fostering unbiased decision-making. In addition, this research also attempted to examine the multifaceted dynamics and challenges that arise when digital tools are leveraged to assess ESG factors in investment strategies. We employ a quantitative research approach and statistical methods, including regression and structural equation modeling to examine the relationships between ESG, Digital Technology adoption, and Sustainable Investment decisions by incorporating the Ethics of AI and the Theory of Planned Behavior (TPB). The result indicated -ESG investing, highlighting the growing importance of ethical considerations in financial decision-making. It then delves into the integration of technology, specifically artificial intelligence, into ESG assessment processes. This technological advancement has the potential to enhance the accuracy and timeliness of ESG evaluations, yet it also introduces complex ethical dilemmas related to data privacy, algorithmic bias, and transparency. This study provides a comprehensive overview of ESG investing, highlighting the growing importance of ethical considerations in financial decision-making. The results of the study have implications for investors, policymakers, regulators, and society in general. The study helps investors make wise decisions and penetrate new markets. The research contributes to the literature on ESG investing. It then delves into the integration of technology, specifically artificial intelligence, into ESG assessment processes.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"14 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.31893/multiscience.2024139
Le Huu Ngoc Thanh, N. Ngự
The research objective is to build a land valuation model for peri-urban areas in central Vietnam. This was achieved by conducting 200 surveys that examined other factors that influence land prices using a 5-level Likert scale. Then, the Hedonic regression provide novelty in research model was built using SPSS 26.0 software. The research results have given a land pricing model that explains 72.8% of land price fluctuations. This model identifies the main factor causing these fluctuations. These factors include distance to the main road (30.92%), ability to generate cash flow (23.13%), area of the land (16.14%), feng shui (8.14%), location of the land plot (8.00%), width of road attached to the land plot (7.25%), and education level in the area around the land plot (6.44%). This study will illuminate the suitability of the regression model for land valuation in peri-urban regions of Central Vietnam, providing valuable guidance for policymakers, real estate professionals, researchers and the local residents in this field.
{"title":"Determining the land valuation model for peri-urban areas in Central Vietnam","authors":"Le Huu Ngoc Thanh, N. Ngự","doi":"10.31893/multiscience.2024139","DOIUrl":"https://doi.org/10.31893/multiscience.2024139","url":null,"abstract":"The research objective is to build a land valuation model for peri-urban areas in central Vietnam. This was achieved by conducting 200 surveys that examined other factors that influence land prices using a 5-level Likert scale. Then, the Hedonic regression provide novelty in research model was built using SPSS 26.0 software. The research results have given a land pricing model that explains 72.8% of land price fluctuations. This model identifies the main factor causing these fluctuations. These factors include distance to the main road (30.92%), ability to generate cash flow (23.13%), area of the land (16.14%), feng shui (8.14%), location of the land plot (8.00%), width of road attached to the land plot (7.25%), and education level in the area around the land plot (6.44%). This study will illuminate the suitability of the regression model for land valuation in peri-urban regions of Central Vietnam, providing valuable guidance for policymakers, real estate professionals, researchers and the local residents in this field.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140247971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.31893/multiscience.2024159
Riyadh Salam Mohammed, Ammar Al-Hamadani
Biometrics is a growing field, which permits identification of individuals by means of unique physical features. Electroencephalography (EEG)-based biometrics utilizes the small intra-personal differences and large inter-personal differences between individuals’ brainwave patterns. However, traditional EEG-based subject identification techniques frequently require a lot of electrodes, making it cumbersome and impractical for real-world applications. In this research, we suggest a method for subject identification using lightweight convolutional neural networks (CNN) while minimizing the number of electrodes. We propose a approach for subject identification in EEG that aims to minimize the number of electrodes while leveraging the power of CNNs. To achieve this, we divide the conductive electrodes of the cortex into (64, 32, 16) distinct groups. By exploiting the automatic feature extraction capabilities of CNNs, we process the EEG data from each electrode group individually. Remarkably, Electrodes (16) achieved an accuracy rate of 97.72%, 32 odd electrodes achieved an accuracy rate of 98.16%, while 32 even electrodes achieved an accuracy rate of 99.3%, and electrodes (64) achieved an accuracy rate of 95.47%. These results clearly demonstrate the robustness and efficacy of our method in accurately identifying individuals based on their EEG patterns. By decreasing the number of electrodes and capitalizing on the distinctive patterns captured by the electrode groups, our method provides a practical and efficient solution for subject identification in EEG.
{"title":"Improved lightweight DL algorithm for biometric identification from EEG signal","authors":"Riyadh Salam Mohammed, Ammar Al-Hamadani","doi":"10.31893/multiscience.2024159","DOIUrl":"https://doi.org/10.31893/multiscience.2024159","url":null,"abstract":"Biometrics is a growing field, which permits identification of individuals by means of unique physical features. Electroencephalography (EEG)-based biometrics utilizes the small intra-personal differences and large inter-personal differences between individuals’ brainwave patterns. However, traditional EEG-based subject identification techniques frequently require a lot of electrodes, making it cumbersome and impractical for real-world applications. In this research, we suggest a method for subject identification using lightweight convolutional neural networks (CNN) while minimizing the number of electrodes. We propose a approach for subject identification in EEG that aims to minimize the number of electrodes while leveraging the power of CNNs. To achieve this, we divide the conductive electrodes of the cortex into (64, 32, 16) distinct groups. By exploiting the automatic feature extraction capabilities of CNNs, we process the EEG data from each electrode group individually. Remarkably, Electrodes (16) achieved an accuracy rate of 97.72%, 32 odd electrodes achieved an accuracy rate of 98.16%, while 32 even electrodes achieved an accuracy rate of 99.3%, and electrodes (64) achieved an accuracy rate of 95.47%. These results clearly demonstrate the robustness and efficacy of our method in accurately identifying individuals based on their EEG patterns. By decreasing the number of electrodes and capitalizing on the distinctive patterns captured by the electrode groups, our method provides a practical and efficient solution for subject identification in EEG.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"46 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The association between innovation, performance, and systems of internal control has been extensively explored in research. However, none of this research has been conducted in Moroccan public organizations. This paper aimed to analyze the impact of internal control on the innovation and performance of these organizations using a causal and quantitative methodology. A sample of 187 public organizations was utilized. The data collected through a questionnaire were analyzed using the structural equation modeling approach (PLS 4). The results demonstrate that internal control significantly influences the performance and innovation of public organizations in the Moroccan context, where empirical literature is scarce. For future research, it is recommended to investigate the relationship between prospector-type strategy, innovation, and organizational performance.
{"title":"Internal control system, innovation and performance of Moroccan public organizations: structural equation modeling based on the PLS approach","authors":"Mustapha Razzouki, Mohamed Jallal El Adnani, Fatima Touhami, Mohamed Azdod, Abdelhadi Darkaoui","doi":"10.31893/multiscience.2024174","DOIUrl":"https://doi.org/10.31893/multiscience.2024174","url":null,"abstract":"The association between innovation, performance, and systems of internal control has been extensively explored in research. However, none of this research has been conducted in Moroccan public organizations. This paper aimed to analyze the impact of internal control on the innovation and performance of these organizations using a causal and quantitative methodology. A sample of 187 public organizations was utilized. The data collected through a questionnaire were analyzed using the structural equation modeling approach (PLS 4). The results demonstrate that internal control significantly influences the performance and innovation of public organizations in the Moroccan context, where empirical literature is scarce. For future research, it is recommended to investigate the relationship between prospector-type strategy, innovation, and organizational performance.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"43 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erratum to: A hybrid feature selection approach for urinary tract infection detection and prediction in IoT-fog environment","authors":"Anisha Nagpal, Munish Sabharwal, Rohit Tripathi","doi":"10.31893/multiscience.2024170","DOIUrl":"https://doi.org/10.31893/multiscience.2024170","url":null,"abstract":"The online version of the original article can be found at https://doi.org/10.31893/multiscience.2024080","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"3 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140258619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-06DOI: 10.31893/multiscience.2024152
Duaa A. Amran, Karim H. Al- Derawi, S. Al-Saadi
Zingiber officinale Roscoe is a perennial herb belonging to the Zingiberaceae family. The chemical compounds were identified by Gas chromatography‒mass spectrometry, the results showed that 38 components found in Z. officinale, beta-Sesquiphellandrene had the highest percentage was (28.94%), followed by 2- Butanone, 4-(2,6,6-trimethyl-2-cyclohexen-1-yl)-, (R)- (16.82%), alpha.-Farnesene (14.45%). The rest of the compounds constituted a smaller percentage, they were represented by Zingiberene, beta.-Phellandrene, Camphene, 1,8-Cineole, Alpha-Cedrene, Elemol, and Shogaol. Histological sections of the adrenal gland treated with atenolol drug showed that the cortex composed of atrophied zona granulosa, vascularized and inflamed zona fasciculate and sever inflammation of zona reticularis, the medulla appear with mild hemorrhage extended between the chromaffin cells, the parenchyma of the medulla consist of loosely, disorganized into clusters and cords resemble the epithelial, the cells large is size, polyhedral shape and appear empty in sections separated by sinusoidal capillaries while the deep layer is zona reticularis formed by pink stained cells and irregular arrangement. While in adrenal gland treated with Z. officinale showed more normal histological sections, so that treated with (atenolol and Z. officinale) showed mild moderate changes in different adrenal zona, the zona glomerulosa showed normal structure, small cluster beneath the capsule with crowded nuclei, mild hemorrhage area and the cells appeared resemble the lipoblasts.
{"title":"The protective effects of Zingiber officinale essential oils extract against Atenolol induced adrenal gland in rats (Rattus norvigicus)","authors":"Duaa A. Amran, Karim H. Al- Derawi, S. Al-Saadi","doi":"10.31893/multiscience.2024152","DOIUrl":"https://doi.org/10.31893/multiscience.2024152","url":null,"abstract":"Zingiber officinale Roscoe is a perennial herb belonging to the Zingiberaceae family. The chemical compounds were identified by Gas chromatography‒mass spectrometry, the results showed that 38 components found in Z. officinale, beta-Sesquiphellandrene had the highest percentage was (28.94%), followed by 2- Butanone, 4-(2,6,6-trimethyl-2-cyclohexen-1-yl)-, (R)- (16.82%), alpha.-Farnesene (14.45%). The rest of the compounds constituted a smaller percentage, they were represented by Zingiberene, beta.-Phellandrene, Camphene, 1,8-Cineole, Alpha-Cedrene, Elemol, and Shogaol. Histological sections of the adrenal gland treated with atenolol drug showed that the cortex composed of atrophied zona granulosa, vascularized and inflamed zona fasciculate and sever inflammation of zona reticularis, the medulla appear with mild hemorrhage extended between the chromaffin cells, the parenchyma of the medulla consist of loosely, disorganized into clusters and cords resemble the epithelial, the cells large is size, polyhedral shape and appear empty in sections separated by sinusoidal capillaries while the deep layer is zona reticularis formed by pink stained cells and irregular arrangement. While in adrenal gland treated with Z. officinale showed more normal histological sections, so that treated with (atenolol and Z. officinale) showed mild moderate changes in different adrenal zona, the zona glomerulosa showed normal structure, small cluster beneath the capsule with crowded nuclei, mild hemorrhage area and the cells appeared resemble the lipoblasts.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"28 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140262346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-05DOI: 10.31893/multiscience.2024155
Vu Thi Nhu Quynh
Banks play a crucial role as financial intermediaries in advancing economies. Increasing market share is a top priority for all banks in today's fiercely competitive market. To achieve this, banks are expected to enhance their efficiency, which boosts their competitive capacity and helps decision-makers identify areas for development. This paper introduces an extended fuzzy TOPSIS approach that incorporates integral values to assess banking performance. Our method includes the averaging and normalization of decision-makers assigned ratings and weights, ensuring a standardized scale for comparison. Subsequently, we create membership functions for the ultimate fuzzy evaluation values of alternatives using interval arithmetic for fuzzy numbers. We employ a novel fuzzy number ranking method based on integral values to streamline the aggregation of fuzzy numbers to defuzzify the weighted ratings. Ultimately, we introduce a closeness coefficient for determining the ranking order of alternatives by computing their distances to both the positive and negative ideal solutions. To illustrate the effectiveness and applicability of our proposed method, we present an application example.
{"title":"An extension of fuzzy TOPSIS approach using integral values for banking performance evaluation","authors":"Vu Thi Nhu Quynh","doi":"10.31893/multiscience.2024155","DOIUrl":"https://doi.org/10.31893/multiscience.2024155","url":null,"abstract":"Banks play a crucial role as financial intermediaries in advancing economies. Increasing market share is a top priority for all banks in today's fiercely competitive market. To achieve this, banks are expected to enhance their efficiency, which boosts their competitive capacity and helps decision-makers identify areas for development. This paper introduces an extended fuzzy TOPSIS approach that incorporates integral values to assess banking performance. Our method includes the averaging and normalization of decision-makers assigned ratings and weights, ensuring a standardized scale for comparison. Subsequently, we create membership functions for the ultimate fuzzy evaluation values of alternatives using interval arithmetic for fuzzy numbers. We employ a novel fuzzy number ranking method based on integral values to streamline the aggregation of fuzzy numbers to defuzzify the weighted ratings. Ultimately, we introduce a closeness coefficient for determining the ranking order of alternatives by computing their distances to both the positive and negative ideal solutions. To illustrate the effectiveness and applicability of our proposed method, we present an application example.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140263374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-04DOI: 10.31893/multiscience.2024144
S. Hammood, Azhar Shyaa Younus, Esraa S. Al-Fatlawey, Zahraa S. Alkaabi
The male reproductive system relies on the proper production of sperm. Spermatogenesis is a complex process that calls for the cooperation of many different elements. The presence of pro-inflammatory cytokines such as interleukin 1 beta (IL-1β), interleukin 2, and interleukin 15 in the male reproductive tract may be responsible for the manifestation of physiological processes in the testes, epididymis, and sperm of the male reproductive system. However, The present study aimed to determine the effect of Coronavirus disease (COVID-19) on the concentration levels of IL-1β, interleukin 2, and interleukin 15 in males. Moreover, to assess its impact on the hormone. A total of the n=95 clinical samples from the infertile patients confirmed COVID-19 patients involved the analysis of serum or plasma samples from 95 patients to measure levels of Testosterone hormone, IL15, IL-1B, and IL-2 by using an ultrasensitive enzyme-linked immunoabsorbent. The results showed a significant increase (p<0.05) of IL-1B, IL-15 and a decrease in IL-2 level in infertile; also, testosterone evaluated in the serum and plasma of SARS-CoV-2 patients showed a positive connection between the level of hormone and IL-1B, IL-15, While negatively related with IL-2 patients infected with coronavirus compared with non-infected infertile patients. Male individuals with COVID-19 who experience infertility exhibited a combination of various factors that are linked to reduced testosterone hormone levels. These factors include advancing age, obesity, and cytokine alteration; there is an observed increase in IL-1B and IL-15 levels and a decrease in IL-2 concentration in these patients.
{"title":"Assessment of concentrations of interleukin IL-1β, interleukin 2, interleukin 15 and level of Testosterone hormone in COVID-19 infertile patients","authors":"S. Hammood, Azhar Shyaa Younus, Esraa S. Al-Fatlawey, Zahraa S. Alkaabi","doi":"10.31893/multiscience.2024144","DOIUrl":"https://doi.org/10.31893/multiscience.2024144","url":null,"abstract":"The male reproductive system relies on the proper production of sperm. Spermatogenesis is a complex process that calls for the cooperation of many different elements. The presence of pro-inflammatory cytokines such as interleukin 1 beta (IL-1β), interleukin 2, and interleukin 15 in the male reproductive tract may be responsible for the manifestation of physiological processes in the testes, epididymis, and sperm of the male reproductive system. However, The present study aimed to determine the effect of Coronavirus disease (COVID-19) on the concentration levels of IL-1β, interleukin 2, and interleukin 15 in males. Moreover, to assess its impact on the hormone. A total of the n=95 clinical samples from the infertile patients confirmed COVID-19 patients involved the analysis of serum or plasma samples from 95 patients to measure levels of Testosterone hormone, IL15, IL-1B, and IL-2 by using an ultrasensitive enzyme-linked immunoabsorbent. The results showed a significant increase (p<0.05) of IL-1B, IL-15 and a decrease in IL-2 level in infertile; also, testosterone evaluated in the serum and plasma of SARS-CoV-2 patients showed a positive connection between the level of hormone and IL-1B, IL-15, While negatively related with IL-2 patients infected with coronavirus compared with non-infected infertile patients. Male individuals with COVID-19 who experience infertility exhibited a combination of various factors that are linked to reduced testosterone hormone levels. These factors include advancing age, obesity, and cytokine alteration; there is an observed increase in IL-1B and IL-15 levels and a decrease in IL-2 concentration in these patients.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"5 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140266027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.31893/multiscience.2024143
Afaq M. Jabeir, Salwa A. Abdul Jaleel, H. Al-Saad
Wetland sediments can become contaminated with contaminants that pose a risk to plants and animals and are present in groundwater and fresh surface water entering the wetland. The current study aims to detect PCB contaminants in the sediments of the Al-Hamar Marsh in southern Iraq from the winter season of 2021 until the fall season of 2022 during the day from five stations in the Al-Hamar Marsh, which are (1 - Al-Harir, 2 - Al-Mashab 3 - Al-Nakara, 4 - Baraka 1, 5 - Baraka 2). PCBs were analyzed by GC-MASS. The results showed that the highest rate of PCBs concentrations was (2.84) in the winter season and the lowest rate was (0.14 ng/g d. w). The concentrations of PCBs at the study stations ranged (2.34 ng/g d.w - 3.9 ng/g d.w) during the winter season. (0.01 ng/g d.w-3.7 ng/g d.w) during the spring, (0.01 ng/g d.w- 1.46 ng/g d.w) in the summer, and (0.02 ng/g d.w -5.78 ng/g d.w) during the summer. In the fall, the soil texture was measured and the results showed that the sediments of the Al-hammar marsh were silty clay deposits. This study is a first of its kind in the region and could be give available information and used as a baseline study in the futures.
{"title":"Study the regional and seasonal variation of polychlorinated biphenyl in sediments of the Eastern AL-Hammar Marshes, Iraq","authors":"Afaq M. Jabeir, Salwa A. Abdul Jaleel, H. Al-Saad","doi":"10.31893/multiscience.2024143","DOIUrl":"https://doi.org/10.31893/multiscience.2024143","url":null,"abstract":"Wetland sediments can become contaminated with contaminants that pose a risk to plants and animals and are present in groundwater and fresh surface water entering the wetland. The current study aims to detect PCB contaminants in the sediments of the Al-Hamar Marsh in southern Iraq from the winter season of 2021 until the fall season of 2022 during the day from five stations in the Al-Hamar Marsh, which are (1 - Al-Harir, 2 - Al-Mashab 3 - Al-Nakara, 4 - Baraka 1, 5 - Baraka 2). PCBs were analyzed by GC-MASS. The results showed that the highest rate of PCBs concentrations was (2.84) in the winter season and the lowest rate was (0.14 ng/g d. w). The concentrations of PCBs at the study stations ranged (2.34 ng/g d.w - 3.9 ng/g d.w) during the winter season. (0.01 ng/g d.w-3.7 ng/g d.w) during the spring, (0.01 ng/g d.w- 1.46 ng/g d.w) in the summer, and (0.02 ng/g d.w -5.78 ng/g d.w) during the summer. In the fall, the soil texture was measured and the results showed that the sediments of the Al-hammar marsh were silty clay deposits. This study is a first of its kind in the region and could be give available information and used as a baseline study in the futures.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"56 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}