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Symptomatology of hypoglycemia in diabetes: a bibliometric analysis (2000-2022) of Bayesian approaches
Get PDFHypoglycemia poses a critical challenge in managing diabetes. Existing literature, while extensive, lacks a holistic perspective. This study aims to bridge this gap by combining bibliometric analysis and a comprehensive review of Bayesian analysis-related hypoglycemic issues. This study employed data from the SCI-EXPANDED database for bibliometric analysis. The keywords "symptom" or "symptoms," "hypoglycemic" or "hypoglycemia," or "hypoglycaemia" or "hypoglycaemic," and "Diabetes" or "Diabetic" or "Diabetics" were used to locate 1,596 documents from 2000 to 2022. Document types, authorship patterns, and citation metrics were examined. Bayesian methodologies were systematically reviewed across various diabetes types and evaluated using specific assessment tools. Most of the articles published in "Endocrinology & Metabolism" contributed 37.2% of total articles, with a notable CPP2022 (Citations Per Publication (CPP)) of 35, and the main publication type were articles with an average of about six authors and over 32,000 citations in 2022. The United States (US) consistently leads in the number of published articles, followed by China, Japan, and India. Novo Nordisk led institutions with 36 publications and a substantial CPP2022 of 60.9. The comprehensive review emphasized that Bayesian statistical modeling is widely used for adult Type 1 and Type 2 diabetes but is limited in child Type 1 and absent in Gestational Diabetes (GAD) research. In contrast, Bayesian Networks (BNs) are mainly applied to adult Type 2 diabetes, with gaps in other types. Furthermore, Bayesian Neural Networks (BNNs) are prevalent in adult and child Type 1 studies but not applied to Type 2 or GAD. Since 2010, Total Publications (TP) have increased rapidly, indicating increased interest in researching hypoglycemia. Outlining potential research directions and emphasizing the transformative impact of Bayesian methodologies provides valuable insights for clinicians, researchers, and healthcare stakeholders
Corporate tax avoidance and stock price crash risk: the moderating effects of corporate governance
No full textPurpose: This study aims to investigate the relationship between corporate tax avoidance and stock price crash risk and the moderating effects of corporate governance. Design/methodology/approach: This study investigates the relationship between corporate tax avoidance and stock price crash risk using the sample consisting of listed firms in Vietnam for the period of 2011–2020 using panel regressions. Findings: The authors find that there is a positive relationship between tax avoidance and stock price crash risk. Foreign ownership weakens the impacts of tax avoidance on stock price crash risk, while managerial ownership strengthens the impacts. Female Chief Executive Officers (CEOs) and female chairpersons weaken this relationship. Board gender diversity and state ownership have insignificant moderating impacts. Practical implications: These findings could help the stock market build better internal monitoring mechanisms to reduce the impacts of tax avoidance on future stock price crash risk. Investors can recognize the characteristics of corporate governance, especially foreign ownership, managerial ownership, female CEOs and female chairpersons when making investment decisions. The policy makers should consider policies to attract foreign investment and support women entrepreneurship. Originality/value: This paper contributes to the literature on the impacts of tax avoidance on stock price crash risk in emerging countries. This paper is the first to investigate the influence of corporate governance mechanisms including state ownership, foreign ownership, female CEOs and chairpersons and board gender diversity on this relationship
UPM perkukuh keterjaminan makanan melalui rekabentuk inovatif pelajar
No full textSERDANG, 15 Julai - Universiti Putra Malaysia (UPM) menerusi Jabatan Rekabentuk Perindustrian, Fakulti Rekabentuk dan Senibina (FRSB) telah mengadakan program SEED Showcase 2025 bagi mempamerkan inovasi industri reka bentuk pelajar dalam menyokong keterjaminan makanan
Menteri Pendidikan Tinggi lawat fasiliti Solar Terapung UPM
No full textSERDANG, 15 Julai - Menteri Pendidikan Tinggi, Dato’ Seri Diraja Dr. Zambry Abd Kadir hari ini melakukan lawatan ke fasiliti solar Hidroponik-Aquavoltaic Bersepadu Berskala Besar (Large Scale Integrated Hydroponic-Aquavoltaic) di Fakulti Kejuruteraan, Universiti Putra Malaysia (UPM), menjadikannya lawatan sulung beliau ke sistem bersepadu pertama seumpamanya di institusi pengajian tinggi Malaysia
Growth monitoring of healthy and BSR-infected oil palm seedlings using ground-based LiDAR
Get PDFThe most threatening disease to the oil palm is Basal Stem Rot (BSR) disease caused by Ganoderma boninense. Besides matured oil palm trees, the oil palm seedlings are also susceptible to BSR disease. Therefore, it is crucial to detect the symptoms of the disease at an early stage, so that the infected plants can be treated immediately. This study focuses on growth monitoring to differentiate between the infected (INF) seedlings and non-infected (NONF) seedlings by using ground-based LiDAR. One hundred INF seedlings and 20 NONF seedlings were used in this study, where the NONF seedlings acted as a control. The parameters measured using LiDAR were the height, stem diameter and point density of the seedlings that were measured every two week intervals four times. The results showed there were significant differences in mean height and mean stem diameter between INF and NONF seedlings. Results from the LiDAR measurements were consistent with the manual measurements, where the correlations were more than 86%. In temporal measurements, the mean stem diameter for NONF seedlings consistently increased over the six weeks, while for INF seedlings it was inconsistent throughout the time. Furthermore, in the last three measurements, the mean point density of NONF seedlings was higher than INF seedlings which indicated better growth of non-infected seedlings compared to the infected seedlings