Pub Date : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul934
Ali, Sabahiya Subeti, J. Kinabo
This research has been done at Kambala Village in Mvomero District to examine the gender norms, food choice, and household food consumption patterns in pastoral communities. Specifically, the study determines the influences of gender norms on household food consumption patterns in pastoral communities, assessing household food consumption patterns associated with food choice in pastoral communities and identifying factors of food choice and gender norms in pastoral communities. A cross-section research design was adopted. Simple random sampling was used to acquire a total sample size of 96 pastoralist households, 57 households from the Maasai tribe,32 from Gogo,5 from Zigua, and 2 from Kamba. Data were collected through interviews administered questionnaires, and key informant interviews. Statistical Package for Social Science program (SPSS) was used for analyzing quantitative data, whereby descriptive statistics, cross-tabulation, and t-test analysis were carried out. The content analysis was used to analyze qualitative information. The findings show that the average household food consumption pattern, through 24-hour dietary recall results, showed that the average milk intake for every meal time was 36.5% and stiff porridge intake for dinner and lunch time was 76.0% in pastoral community members, both milk and stiff porridge intake have a high level of significant of 0.000 with compare mean with tribes and marital status of respondents. The Maasai tribe has some food taboos prohibiting the consumption of chicken and fish, limiting household food diversity. Man has higher priority in serving food first in high quantity and quality than women and children in the household of pastoral community. Food choice is based on the food availability factor and preferred cereal and meat for 100% and most foods eaten often by 100% are stiff porridge, beef, and fresh milk.
{"title":"Gender Norms, Food Choice and Household Food Consumption Pattern in Pastoral Community in Kambala Village at Mvomero District","authors":"Ali, Sabahiya Subeti, J. Kinabo","doi":"10.38124/ijisrt/ijisrt24jul934","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul934","url":null,"abstract":"This research has been done at Kambala Village in Mvomero District to examine the gender norms, food choice, and household food consumption patterns in pastoral communities. Specifically, the study determines the influences of gender norms on household food consumption patterns in pastoral communities, assessing household food consumption patterns associated with food choice in pastoral communities and identifying factors of food choice and gender norms in pastoral communities. A cross-section research design was adopted. Simple random sampling was used to acquire a total sample size of 96 pastoralist households, 57 households from the Maasai tribe,32 from Gogo,5 from Zigua, and 2 from Kamba. Data were collected through interviews administered questionnaires, and key informant interviews. Statistical Package for Social Science program (SPSS) was used for analyzing quantitative data, whereby descriptive statistics, cross-tabulation, and t-test analysis were carried out. The content analysis was used to analyze qualitative information. The findings show that the average household food consumption pattern, through 24-hour dietary recall results, showed that the average milk intake for every meal time was 36.5% and stiff porridge intake for dinner and lunch time was 76.0% in pastoral community members, both milk and stiff porridge intake have a high level of significant of 0.000 with compare mean with tribes and marital status of respondents. The Maasai tribe has some food taboos prohibiting the consumption of chicken and fish, limiting household food diversity. Man has higher priority in serving food first in high quantity and quality than women and children in the household of pastoral community. Food choice is based on the food availability factor and preferred cereal and meat for 100% and most foods eaten often by 100% are stiff porridge, beef, and fresh milk.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"8 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920833","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1191
L. Matondora, M. Mutandavari, B. Mupini
Hospital readmissions introduce a significant challenge in healthcare, leading to increased costs, reduced patient outcomes, and strained healthcare systems. Accurately predicting the risk of hospital readmission is crucial for implementing targeted interventions and improving patient care. This study investigates the use of natural language processing (NLP) techniques, specifically the ClinicalBERT model, to predict the risk of hospital readmission using the first 3-5 days of clinical notes, excluding discharge notes. We compare the performance of ClinicalBERT to other machine learning models, including logistic regression, random forest, and XGBoost, to identify the most effective approach for this task. This study highlights the potential of leveraging deep learning-based NLP models in the clinical domain to improve patient care and reduce the burden of hospital readmissions, even when utilizing only the initial clinical notes from a patient's hospitalization. It can also provide information early to allow Clinicians to intervene in patients who are at high risk. The results demonstrate that the ClinicalBERT model outperforms the other techniques, achieving higher accuracy, F1-score, and area under the receiver operating characteristic (ROC) curve. This study highlights the potential of leveraging deep learning- based NLP models in the clinical domain to improve patient care and reduce the burden of hospital readmissions.
{"title":"NLP Based Prediction of Hospital Readmission using ClinicalBERT and Clinician Notes","authors":"L. Matondora, M. Mutandavari, B. Mupini","doi":"10.38124/ijisrt/ijisrt24jul1191","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul1191","url":null,"abstract":"Hospital readmissions introduce a significant challenge in healthcare, leading to increased costs, reduced patient outcomes, and strained healthcare systems. Accurately predicting the risk of hospital readmission is crucial for implementing targeted interventions and improving patient care. This study investigates the use of natural language processing (NLP) techniques, specifically the ClinicalBERT model, to predict the risk of hospital readmission using the first 3-5 days of clinical notes, excluding discharge notes. We compare the performance of ClinicalBERT to other machine learning models, including logistic regression, random forest, and XGBoost, to identify the most effective approach for this task. This study highlights the potential of leveraging deep learning-based NLP models in the clinical domain to improve patient care and reduce the burden of hospital readmissions, even when utilizing only the initial clinical notes from a patient's hospitalization. It can also provide information early to allow Clinicians to intervene in patients who are at high risk. The results demonstrate that the ClinicalBERT model outperforms the other techniques, achieving higher accuracy, F1-score, and area under the receiver operating characteristic (ROC) curve. This study highlights the potential of leveraging deep learning- based NLP models in the clinical domain to improve patient care and reduce the burden of hospital readmissions.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"10 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921085","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24aug235
Saharuddin, Jiuhardi, Sri Wahyuni, Diana Lestari
This research aims to identify and analyse the impact of technological progress, economic openness, and the impact on the competitiveness of SDM both directly and through economic growth. This research uses secondary data such as information and communication technology development index data, import exports, democracy index, PDRB. and human development index in each province, both in the Western Region of Indonesia and in the Eastern Area of Indonesia. The data is data time series 10 years (2013 – 2022). For the purposes of analysis used data panel 34 Provinces in Indonesia. The analytical techniques used are Simultaneous Equation Models (SEM) with the help of R Studio Software. The results of the research show that directly the factors of technological progress, trade openness and institutional positive and significant to the competitiveness of the SDM. Indirectly, the progress of financial technology can improve the competitive strength of SDM through economic growth other than the opennesses of the economy and institutions have not optimally propelled the competition of the SSM.
本研究旨在确定和分析技术进步、经济开放度的影响，以及直接和通过经济增长对可持续发展机制竞争力的影响。本研究使用二手数据，如信息和通信技术发展指数数据、进口出口、民主指数、PDRB。数据为 10 年（2013 - 2022 年）时间序列数据。分析使用了印尼 34 个省的面板数据。使用的分析技术是在 R Studio 软件帮助下建立的同步方程模型（SEM）。研究结果表明，技术进步、贸易开放度和制度等因素直接对印尼发展机制的竞争力产生积极而显著的影响。间接而言，金融技术的进步可以通过经济增长提高特殊商品市场的竞争实力，但经济开放度和制度并没有对特殊商品市场的竞争起到最佳推动作用。
{"title":"The Impact of Technological Advancement, Economic Openness and Institutions on the Competitiveness of Indonesian Human Resources","authors":"Saharuddin, Jiuhardi, Sri Wahyuni, Diana Lestari","doi":"10.38124/ijisrt/ijisrt24aug235","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24aug235","url":null,"abstract":"This research aims to identify and analyse the impact of technological progress, economic openness, and the impact on the competitiveness of SDM both directly and through economic growth. This research uses secondary data such as information and communication technology development index data, import exports, democracy index, PDRB. and human development index in each province, both in the Western Region of Indonesia and in the Eastern Area of Indonesia. The data is data time series 10 years (2013 – 2022). For the purposes of analysis used data panel 34 Provinces in Indonesia. The analytical techniques used are Simultaneous Equation Models (SEM) with the help of R Studio Software. The results of the research show that directly the factors of technological progress, trade openness and institutional positive and significant to the competitiveness of the SDM. Indirectly, the progress of financial technology can improve the competitive strength of SDM through economic growth other than the opennesses of the economy and institutions have not optimally propelled the competition of the SSM.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"15 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920734","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1716
Amal Benchine, Najwa Loukili, Rachid Maakoul, Samir Bargach
Background: Molluscum pendulum (MP), also known as soft fibroma, is a benign fibrous cutaneous tumor arising from mesodermal tissue. While generally small and painless, MP can become unsightly and uncomfortable as it enlarges. Giant molluscum pendulum of the vulva, a rare variant of MP, presents unique clinical challenges. The aim of this study is to present and analyze a rare case of giant molluscum pendulum (MP) of the vulva, highlighting its clinical presentation, diagnostic challenges, and treatment outcomes. Case Presentation: We report a 51-year-old female with a progressively enlarging perineal mass over 3 years. Physical examination revealed a pedunculated mass on the left labia majora, measuring 55 x 30cm, soft, painless, and mobile. Surgical excision under general anesthesia was performed, and the resected specimen weighed 850 grams with a diameter of 5 x 3 cm. Histopathology confirmed the diagnosis of giant vulvar molluscum pendulum. The surgical margins were clear, and the patient experienced a favorable recovery with no recurrence during a one- year follow-up. Discussion: Molluscum pendulum is a benign pedunculated skin tumor commonly found in flexion areas but rarely on the vulva. Giant vulvar molluscum pendulum is characterized by significant growth and can be mistaken for other vulvar conditions, including Bartholin’s cysts and lipomas. Accurate diagnosis through histopathological examination is crucial. While the large size of the tumor is usually benign, potential malignancy must be considered. Surgical excision remains the most effective treatment, with further management reserved for malignant cases. Conclusion: Giant molluscum pendulum of the vulva is a rare benign tumor that can grow substantially. Accurate diagnosis and prompt surgical intervention are essential for managing this condition effectively and preventing recurrence.
背景：软下疳（MP）又称软纤维瘤，是一种由中胚层组织产生的良性纤维性皮肤肿瘤。一般来说，软疣较小且无痛，但随着肿大会变得难看和不舒服。外阴巨型软疣是MP的一种罕见变体，给临床带来了独特的挑战。本研究旨在介绍和分析一例罕见的外阴巨型软疣（MP）病例，重点介绍其临床表现、诊断难题和治疗效果。 病例介绍：我们报告了一名 51 岁女性的病例，她的会阴部肿块在 3 年内逐渐增大。体格检查发现左侧大阴唇上有一蒂状肿块，大小为 55 x 30 厘米，质地柔软、无痛且可移动。在全身麻醉下进行了手术切除，切除的标本重 850 克，直径 5 x 3 厘米。组织病理学确诊为巨大外阴软疣。手术边缘清晰，患者恢复良好，随访一年未复发。 讨论：巨型外阴软疣是一种良性有蒂皮肤肿瘤，常见于屈曲部位，但很少发生在外阴。巨型外阴软疣的特点是生长显著，可能会被误诊为其他外阴疾病，包括巴氏腺囊肿和脂肪瘤。通过组织病理学检查进行准确诊断至关重要。虽然体积较大的肿瘤通常是良性的，但必须考虑潜在的恶性肿瘤。手术切除仍然是最有效的治疗方法，恶性病例则需要进一步治疗。 结论：外阴巨型软疣是一种罕见的良性肿瘤，可大幅生长。准确的诊断和及时的手术干预对有效治疗和防止复发至关重要。
{"title":"Giant Vulvar Molluscum Pendulum a Case Report and Review of the Literature","authors":"Amal Benchine, Najwa Loukili, Rachid Maakoul, Samir Bargach","doi":"10.38124/ijisrt/ijisrt24jul1716","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul1716","url":null,"abstract":"Background: Molluscum pendulum (MP), also known as soft fibroma, is a benign fibrous cutaneous tumor arising from mesodermal tissue. While generally small and painless, MP can become unsightly and uncomfortable as it enlarges. Giant molluscum pendulum of the vulva, a rare variant of MP, presents unique clinical challenges. The aim of this study is to present and analyze a rare case of giant molluscum pendulum (MP) of the vulva, highlighting its clinical presentation, diagnostic challenges, and treatment outcomes. Case Presentation: We report a 51-year-old female with a progressively enlarging perineal mass over 3 years. Physical examination revealed a pedunculated mass on the left labia majora, measuring 55 x 30cm, soft, painless, and mobile. Surgical excision under general anesthesia was performed, and the resected specimen weighed 850 grams with a diameter of 5 x 3 cm. Histopathology confirmed the diagnosis of giant vulvar molluscum pendulum. The surgical margins were clear, and the patient experienced a favorable recovery with no recurrence during a one- year follow-up. Discussion: Molluscum pendulum is a benign pedunculated skin tumor commonly found in flexion areas but rarely on the vulva. Giant vulvar molluscum pendulum is characterized by significant growth and can be mistaken for other vulvar conditions, including Bartholin’s cysts and lipomas. Accurate diagnosis through histopathological examination is crucial. While the large size of the tumor is usually benign, potential malignancy must be considered. Surgical excision remains the most effective treatment, with further management reserved for malignant cases. Conclusion: Giant molluscum pendulum of the vulva is a rare benign tumor that can grow substantially. Accurate diagnosis and prompt surgical intervention are essential for managing this condition effectively and preventing recurrence.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920306","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1435
Elian- Gabriel Militaru, Georgiana Maria Lungu, Cătălin-Valentin- Mihai Lăpădat
Our study aims to improve the literature by providing answers to the issues related to the impact of reporting non-financial information specific to human capital and we focus on analyzing how it influences economic and financial performance. The objective of the study is to analyze the correlation between economic-financial performance indicators, in particular the economic return on assets (ROA) and the financial rate of return (ROE), and the non-financial items reported for human capital. J.E.L. classification: M41, M45
{"title":"The Impact of Human Capital Sustainability Policies on Financial Performance: A Perspective from Romania, Germany and South Africa","authors":"Elian- Gabriel Militaru, Georgiana Maria Lungu, Cătălin-Valentin- Mihai Lăpădat","doi":"10.38124/ijisrt/ijisrt24jul1435","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul1435","url":null,"abstract":"Our study aims to improve the literature by providing answers to the issues related to the impact of reporting non-financial information specific to human capital and we focus on analyzing how it influences economic and financial performance. The objective of the study is to analyze the correlation between economic-financial performance indicators, in particular the economic return on assets (ROA) and the financial rate of return (ROE), and the non-financial items reported for human capital. J.E.L. classification: M41, M45","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"2 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920401","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul973
John Motsamai Modise
This research investigates the detrimental impact of bad governance, characterized by corruption, nepotism, and lawlessness, on achieving the UN's Sustainable Development Goals (SDGs). It argues that bad governance diverts resources, weakens institutions, and hinders progress on critical areas like poverty reduction, environmental protection, and social justice. The study employs a multi-faceted approach, analyzing the specific ways bad governance hinders SDGs, exploring successful case studies, and identifying key factors that contribute to good governance. The research findings hold significant value for policymakers, civil society organizations (CSOs), and international development agencies. By understanding these challenges, stakeholders can design targeted interventions, advocate for good governance reforms, and foster a more sustainable future. Ultimately, the study concludes that overcoming bad governance requires a collective effort and a commitment to transparency, accountability, and public participation. This paves the way for achieving the SDGs and creating a more just and sustainable world.
{"title":"Bad Governance, Corruption, Nepostism, Lawlessness, and Goals for Sustainable Development","authors":"John Motsamai Modise","doi":"10.38124/ijisrt/ijisrt24jul973","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul973","url":null,"abstract":"This research investigates the detrimental impact of bad governance, characterized by corruption, nepotism, and lawlessness, on achieving the UN's Sustainable Development Goals (SDGs). It argues that bad governance diverts resources, weakens institutions, and hinders progress on critical areas like poverty reduction, environmental protection, and social justice. The study employs a multi-faceted approach, analyzing the specific ways bad governance hinders SDGs, exploring successful case studies, and identifying key factors that contribute to good governance. The research findings hold significant value for policymakers, civil society organizations (CSOs), and international development agencies. By understanding these challenges, stakeholders can design targeted interventions, advocate for good governance reforms, and foster a more sustainable future. Ultimately, the study concludes that overcoming bad governance requires a collective effort and a commitment to transparency, accountability, and public participation. This paves the way for achieving the SDGs and creating a more just and sustainable world.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920875","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1753
Yamini Peeush Dwivedi, Niharika Singh
This research paper explores the transformative role of cryptocurrency within the fintech landscape, analyzing its impact on traditional financial services, regulatory challenges, and future implications. The study integrates a comprehensive review of existing literature, employs a mixed-methods research approach, including statistical analysis, and presents findings through well-structured tables and charts. The paper concludes with key insights into the evolving relationship between cryptocurrency and fintech. Finally, this paper discusses the future implications of cryptocurrency in fintech, including its potential to democratize financial services, redefine monetary policies, and revolutionize global transactions. Understanding these dynamics is crucial for stakeholders, policymakers, and innovators to navigate the rapidly evolving landscape of cryptocurrency within fintech and harness its transformative potential effectively.
{"title":"Cryptocurrency in Fintech: Transformative Trends, Challenges, and Future Implications","authors":"Yamini Peeush Dwivedi, Niharika Singh","doi":"10.38124/ijisrt/ijisrt24jul1753","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul1753","url":null,"abstract":"This research paper explores the transformative role of cryptocurrency within the fintech landscape, analyzing its impact on traditional financial services, regulatory challenges, and future implications. The study integrates a comprehensive review of existing literature, employs a mixed-methods research approach, including statistical analysis, and presents findings through well-structured tables and charts. The paper concludes with key insights into the evolving relationship between cryptocurrency and fintech. Finally, this paper discusses the future implications of cryptocurrency in fintech, including its potential to democratize financial services, redefine monetary policies, and revolutionize global transactions. Understanding these dynamics is crucial for stakeholders, policymakers, and innovators to navigate the rapidly evolving landscape of cryptocurrency within fintech and harness its transformative potential effectively.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"1 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921122","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1657
Mary Ann Villaluz
The primary aim of this study was to explore the experiences of novice teachers teaching in recently established schools in Davao Central District. The study focused on understanding the specific experiences/challenges they face, the coping strategies they employ to address these challenges, and the valuable insights they gain that can be shared to the academe. This study employed a qualitative research design with a phenomenological methodology provided a robust framework for capturing the depth and nuances of these experiences. Participants were selected purposively from 11 teachers of Magallanes Elementary School ensuring a diverse range of perspectives. Their voluntary participation ensured that the study could authentically explore and document the multifaceted dynamics of novice teachers experiences. The experiences were: (a) balancing ancillary roles and teaching (b) inadequate infrastructure and resources, and (c) inconducive learning spaces. On the coping strategies of novice teachers were (a) learning from experienced colleagues, (b) keeping one’s vision in mind, and (c) fostering a growth oriented mindset. The educational management insights drawn from the findings of the study that can be shared to the academe were (a) direct experience is unmatched (b) embrace positivity, and (c) necessity of assistance from DepEd. The findings of this study seem to lead to the conclusion to underscore the need to give extra attention to schools that are starting to serve its functions. Installation of facilities and construction of buildings must cater the number of enrollees so that it can purposely serve its goals.
{"title":"Exploring Novice Teacher Experiences: A Phenomenology of Self-Navigation in Recently Established Schools","authors":"Mary Ann Villaluz","doi":"10.38124/ijisrt/ijisrt24jul1657","DOIUrl":"https://doi.org/10.38124/ijisrt/ijisrt24jul1657","url":null,"abstract":"The primary aim of this study was to explore the experiences of novice teachers teaching in recently established schools in Davao Central District. The study focused on understanding the specific experiences/challenges they face, the coping strategies they employ to address these challenges, and the valuable insights they gain that can be shared to the academe. This study employed a qualitative research design with a phenomenological methodology provided a robust framework for capturing the depth and nuances of these experiences. Participants were selected purposively from 11 teachers of Magallanes Elementary School ensuring a diverse range of perspectives. Their voluntary participation ensured that the study could authentically explore and document the multifaceted dynamics of novice teachers experiences. The experiences were: (a) balancing ancillary roles and teaching (b) inadequate infrastructure and resources, and (c) inconducive learning spaces. On the coping strategies of novice teachers were (a) learning from experienced colleagues, (b) keeping one’s vision in mind, and (c) fostering a growth oriented mindset. The educational management insights drawn from the findings of the study that can be shared to the academe were (a) direct experience is unmatched (b) embrace positivity, and (c) necessity of assistance from DepEd. The findings of this study seem to lead to the conclusion to underscore the need to give extra attention to schools that are starting to serve its functions. Installation of facilities and construction of buildings must cater the number of enrollees so that it can purposely serve its goals.","PeriodicalId":517644,"journal":{"name":"International Journal of Innovative Science and Research Technology (IJISRT)","volume":"6 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920914","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 : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1505
Ahmad Fauzan Hakim, Puguh Budi Prakoso
Traffic jams are a common phenomenon in most parts of Indonesia, especially in market centers, resulting in delays and decreased road performance. Problems in this research area show a decrease in road performance which is characterized by frequent delays which cause traffic jams on the highway due to activity in the market, thus making traffic flow slightly hampered. There are 7 (seven) market points studied on the roads of South Borneo Province and Central Borneo Province Roads, namely Walangku Market in Hulu Sungai Tengah Regency, Kelua Market in Tabalong Regency, Pamarangan Market in Tabalong Regency, Pasar Panas Market in Tabalong Regency, Jaar Market in East Barito Regency, Dayu Market in Tabalong Regency. East Barito, Ampah Market in East Barito Regency and Patas Market in South Barito Regency. The aim of this research is to determine the extent of the influence of market activity and no market activity on traffic characteristics. The parameters observed are traffic volume (V) and speed (S) on the road section studied. The research methods used to analyze the mathematical relationship between volume, speed and density are the Greenshields Model, Greenberg Model, Underwood Model and Bell Model. And to analyze the influence of side obstacles on traffic characteristics using correlation analysis and multiple linear regression. Based on the results of the analysis using mathematical relationship models in both conditions, the best models are found in the Bell model for market days and the Grenberg model for normal days at each market location. And for the results of correlation analysis and multiple linear regression on market days, the factors that influence traffic characteristics are market area (X2), vehicles stopping or parking on the road shoulder (X3), and effective lane width (X5). Meanwhile, on normal days the influencing factors are market length (X1) and effective lane width (X5). An alternative to improving the performance of roads in market areas is by increasing the effective lane width by 2 meters and implementing signs that prohibit parking or stopping on the shoulder of the road when market activity occurs. So the results obtained in the capacity value increased compared to market days by 4% and the resulting speed also increased compared to market days, namely by 6% and density also decreased after improving the performance of the road section, namely down by 3%.
交通堵塞是印尼大部分地区的普遍现象，尤其是在市场中心，导致延误和道路性能下降。本研究领域的问题表明道路性能下降，其特点是经常出现延误，由于市场活动导致高速公路交通堵塞，从而使交通流量受到轻微阻碍。在南婆罗洲省和中婆罗洲省公路上共研究了 7 个市场点，即 Hulu Sungai Tengah Regency 的 Walangku 市场、Tabalong Regency 的 Kelua 市场、Tabalong Regency 的 Pamarangan 市场、Tabalong Regency 的 Pasar Panas 市场、East Barito Regency 的 Jaar 市场、Tabalong Regency 的 Dayu 市场。东巴里托、东巴里托行政区的安帕市场和南巴里托行政区的帕塔斯市场。本研究旨在确定市场活动和无市场活动对交通特征的影响程度。观察参数为研究路段的交通流量（V）和速度（S）。用于分析交通量、速度和密度之间数学关系的研究方法有格林希尔兹模型、格林伯格模型、安德伍德模型和贝尔模型。并采用相关分析和多元线性回归分析侧面障碍物对交通特性的影响。根据两种条件下使用数学关系模型的分析结果，发现在每个市场地点，集市日的贝尔模型和正常日的格林伯格模型是最佳模型。而在集市日的相关分析和多元线性回归结果中，影响交通特征的因素是集市区域（X2）、在路肩停车或停车的车辆（X3）和有效车道宽度（X5）。而平日的影响因素则是市场长度（X1）和有效车道宽度（X5）。改善市场区域道路性能的另一种方法是将有效车道宽度增加 2 米，并设置标志，禁止在市场活动时在路肩上停车或停车。因此，得出的结果是，与集市日相比，通行能力值增加了 4%，由此产生的速度也比集市日增加了 6%，而密度在改善路段性能后也有所下降，即下降了 3%。
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Pub Date : 2024-08-10DOI: 10.38124/ijisrt/ijisrt24jul1656
Marife R. Perges
The purpose of the study was to determine what quantitative aspects need further explanation on the performance of out-of-field teachers in terms of; (1) dealing with insecurities and anxieties, (2) lack of content mastery (3) lack of teaching strategies and techniques, (4) be able to shape up progress and (5) coping mechanism. Also, it seeks to determine the level on adaptability in terms of (1) self- awareness, (2) personal management, (3) problem-solving and decision making (4) attitude and (5) knowledge of competencies. Further, to find out the significant relationship between the variables mentioned, and lastly to find out the school program to uplift adaptability among out-of-field teachers. A total of 10 out-of-field teachers of Don Julian Rodriguez Sr. Elementary School, San Roque District, Davao City Division are the respondents were identified through purposive sampling technique. The study utilized explanatory sequential mixed method design. Two methods in collecting the data were utilized, for the quantitative phase the researcher used survey questionnaire in determining level of performance of out- of-field teachers and adaptability. Furthermore, in the qualitative phase the researcher used in-depth interview in gathering the data to identify what school program should develop to uplift adaptability among out-of-field teachers. On the quantitative analysis, there is a significant difference between the performance of out-of-field teachers and adaptability. In addition, the quantitative findings were follow-up by the qualitative findings. Thus, it was found that the school program to uplift adaptability among out- of-field teachers revealed four major themes namely: (1) self-learning, (2) continuing professional development, (3) peer mentoring and (4) openness and acceptance.
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