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Ambio is a leading journal in environmental science and policy, sustainable development, and human-environment interactions. The paper at hand aims to run a bibliometric analysis to inspect the main publications features of Ambio in Science Citation Index Expanded SCI-EXPANDED. For this scope, a bibliometric survey has been carried out to investigate the journal’s historic characteristics in the Web of Science (WoS) categories of environmental sciences and environmental engineering for Ambio from 1980 to 2019. These are the categories for which the journal has been indexed throughout the indexed time frame. The paper proposes technical and methodological innovations, including improvements in the methods and original characteristics analyzed. Documents published in Ambio were searched out from SCI-EXPANDED. Six publication indicators were applied to evaluate the publication performance of countries, institutes, and authors. Three citation indicators were used to compare publications. As a parameter, the journal impact factor contributor was applied to compare the most frequently cited publications. The journal impact factor contributing publications were also discussed. Results show that Sweden ranked top in six publication indicators and that the top three productive institutes were located in Sweden. A low percentage of productive authors emerged as a journal impact factor contributor. Similarly, a low relationship between the IF contributing publications and the highly cited publications was also found. Less than half of the top 100 highly cited publications in Ambio did not lie within the high impact in most the recent year of 2019. Three members of the advisory board in Ambio were the main productive authors. T.V. Callaghan contributed to most of the publications while papers published by J. Rockstrom as first and corresponding author contributed the most to the journal impact factor. An article authored by Steffen et al. ( 2007 ) scored the highest total citations in 2019.

Purpose: Human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) remains a global public health challenge and epidemic disease in sub-Saharan African (SSA) countries. Retention in HIV care should be emphasized to reach\", 95-95-95\" the Joint United Nations Program on HIV/AIDS (UNAIDS) target by 2030. In Tanzania, in spite of existing strategies to ensure retention, loss to follow-up (LTFU) among HIV-infected men is still a common challenge. With limited studies focusing on men's population, little is known on their perspectives on factors contributing to LTFU. This study aimed to explore factors contributing to LTFU among men living with HIV/AIDS in the Kibaha district and to try to formulate strategies that work for men. Methods: The qualitative study using a phenomenological approach was conducted among 16 men with experience in LTFU from three HIV care and treatment clinics located in the Kibaha district. Purposive sampling was used to select informants for semistructured in-depth interviews from August to December, 2021. The collected data was analyzed thematically. Results: The findings were grouped into three themes which highlightedthe contribution of individual factors, socio-economic factors and health system factors. These factors include anticipated HIV-related stigma, lack of disclosure of their HIV status to their partners, poor knowledge on HIV care, unbearable antiretroviral (ART) medication side effects, sharing of ART medications with their partners, perceived good health status, financial difficulties, work-related travels, demanding employment schedules, spiritual belief in faith healing, poor conduct among healthcare workers and loss of Care and Treatment Clinic (CTC) cards hindered their use of ART services at clinics. Conclusion: The findings from this study revealed linked multi-level factors that influence LTFU from HIV care among HIV-infected men. In order to retain men in HIV care, tailored intervention approaches should be formulated. Keywords: human immunodeficiency virus, HIV care, loss to follow-up, LTFU, contributing factors, HIV

This paper introduces the Blinder-Oaxaca decomposition method to be applied in explaining inequality in health outcome across any two groups. In order to understand every aspect of the inequality, multiple regression model can be used in a way to decompose the inequality into contributing factors. The method can therefore be indicated to what extent of the difference in mean predicted outcome between two groups is due to differences in the levels of observable characteristics (acceptable and fair). Assuming the identical characteristics in the two groups, the remaining inequality can be due to differential effects of the characteristics, maybe discrimination, and unobserved factors that not included in the model. Thus, using the decomposition methods can identify the contribution of each particular factor in moderating the current inequality. Accordingly, more detailed information can be provided for policy-makers, especially concerning modifiable factors. The method is theoretically described in detail and schematically presented. In the following, some criticisms of the model are reviewed, and several statistical commands are represented for performing the method, as well. Furthermore, the application of it in the health inequality with an applied example is presented.

An urban heat island (UHI) is a serious phenomenon associated with built environments and presents threats to human health. It is projected that UHI intensity will rise to record levels in the following decades due to rapid urban expansion, as two-thirds of the world population is expected to live in urban areas by 2050. Nevertheless, the last two decades have seen a considerable increase in the number of studies on surface UHI (SUHI)—a form of UHI quantified based on land surface temperature (LST) derived from satellite imagery—and its relationship with the land use/cover (LULC) changes. This surge has been facilitated by the availability of freely accessible five-decade archived remotely sensed data, the use of state-of-art analysis methods, and advancements in computing capabilities. The authors of this systematic review aimed to summarize, compare, and critically analyze multiple case studies—carried out from 2001 to 2020—in terms of various aspects: study area characteristics, data sources, methods for LULC classification and SUHI quantification, mechanisms of interaction coupled with linking techniques between SUHI intensity with LULC spatial and temporal changes, and proposed alleviation actions. The review could support decision-makers and pave the way for scholars to conduct future research, especially in vulnerable cities that have not been well studied.

In Australia, it is estimated that around 17% to 87% of cancer patients have used one form of complementary therapy during their cancer treatment. There are numerous reasons and contributing factors for cancer patients to consider using complementary and alternative medicine (CAM). CAM information and products are readily available. However, the level of evidence to support the benefits of use in the cancer setting is limited, and the associated adverse effects and interactions with conventional medicine may not be fully studied. Besides, not all health professionals favor the concept of integrative health approaches, or have the confidence in dealing with CAM due to a lack of knowledge and standardization of practices. A thematic review of the literature was performed on the main contributing factors to cancer patients’ use of CAM, as well as the current issues that may be encountered by the patients and health professionals.

Graduates from medical schools are expected to be ready for demanding professional roles. Previous studies have indicated that medical students frequently experience anxiety and depression, which affect their academic and personal lives. This study aims to identify factors associated with anxiety and depression among medical students at universities in Ethiopia. This cross-sectional study was conducted at three Ethiopian medical colleges—Gondar University in northern Ethiopia, Jimma University in southern Ethiopia, and Hawasa University in southern Ethiopia—from November 1, 2023, to March 30, 2024. A total of 450 medical students participated in the survey, which utilized the Beck Depression Inventory, Beck Anxiety Inventory, and Satisfaction with Life Scale. Various demographic, academic, and social factors were analyzed via descriptive statistics, chi-square tests, and logistic regression. The prevalence of depression was 52%, while the prevalence of anxiety was 59.1%. Compared to males, females had higher rates of depression (63.93%) and anxiety (65.02%). Additionally, nonlocal students exhibited greater anxiety levels (68.28%). Living alone, poor peer relationships, and poor academic performance were significantly associated with increased anxiety and depression. Logistic regression revealed significant associations between sex, living arrangements, peer relationships, year of study, academic performance, and life satisfaction and anxiety and depression symptoms. Anxiety and depression are prevalent among medical students and are influenced by various demographic, academic, and social factors. Addressing these issues through targeted interventions, enhanced support services, and curriculum adjustments is crucial for improving the mental health and academic success of medical students.

Abstract Hailstones are a natural hazard that pose a significant threat to property and are responsible for significant economic losses each year in the United States. Detailed understanding of their characteristics is essential to mitigate their impact. Identifying the dynamic and physical factors contributing to hail formation and hailstone sizes is of great importance to weather and climate prediction and policymakers. In this study, we have analyzed the temporal and spatial variabilities of severe hail occurrences over the U.S. southern Great Plains (SGP) states from 2004 to 2016 using two hail datasets: hail reports from the Storm Prediction Center and the newly developed radar-retrieved maximum expected size of hail (MESH). It is found that severe and significant severe hail occurrences have a considerable year-to-year temporal variability in the SGP region. The interannual variabilities have a strong correspondence with sea surface temperature anomalies over the northern Gulf of Mexico and there is no outlier. The year 2016 is identified as an outlier for the correlations with both El Niño–Southern Oscillation (ENSO) and aerosol loading. The correlations with ENSO and aerosol loading are not statistically robust to inclusion of the outlier 2016. Statistical analysis without the outlier 2016 shows that 1) aerosols that may be mainly from northern Mexico have the largest correlation with hail interannual variability among the three factors and 2) meteorological covariation does not significantly contribute to the high correlation. These analyses warrant further investigations of aerosol impacts on hail occurrence.

Abstract Objectives Accurate laboratory diagnosis is essential for effective patient care, but the rejection of specimens within laboratories can have serious consequences. Methods A retrospective cross-sectional study was conducted from September to November 2021 at the University of Gondar Comprehensive Specialized Hospital laboratory. Two years of laboratory data were collected from laboratory log books and analyzed to determine trends in specimen rejection rates and identify potential reasons for those rejections. Results We analyzed 114,439 specimens, of which 786 (0.70%) were rejected. The hematology service exhibited the highest rejection rate, at 273 (0.2%). The main reasons for specimen rejection were specimens without requests or requests without specimens (40.2%), poor smear preparation (12.3%), clotted specimens (11.3%), and labeling problems (8.0%). Conclusions This study emphasized a significant incidence of specimen rejection, particularly in the hematology laboratory, underscoring the need for immediate implementation of corrective actions and preventive measures. Furthermore, conducting comprehensive larger-scale studies is recommended to deepen our understanding of and investigate the specific factors contributing to specimen rejection in greater detail.

Gastric cancer is the third leading cause of cancer-related deaths and ranks as the fifth most common cancer worldwide. Incidence and mortality differ depending on the geographical region and gastric cancer ranks first in East Asian countries. Although genetic factors, gastric environment, and Helicobacter pylori infection have been associated with the pathogenicity and development of intestinal-type gastric cancer that follows the Correa’s cascade, the pathogenicity of diffuse-type gastric cancer remains mostly unknown and undefined. However, genetic abnormalities in the cell adherence factors, such as E-cadherin and cellular activities that cause impaired cell integrity and physiology, have been documented as contributing factors. In recent years, H. pylori infection has been also associated with the development of diffuse-type gastric cancer. Therefore, in this report, we discuss the host factors as well as the bacterial factors that have been reported as associated factors contributing to the development of diffuse-type gastric cancer.

Forest disturbance threshold is defined as a critical disturbance level (e.g., % of forest cover change) in forested landscapes above which significant hydrological impacts are detected. Determining disturbance thresholds is critically important for supporting forest management to ensure the sustaining of ecological and hydrological functions. However, there are very few quantitative evaluations of forest disturbance thresholds globally. In this study, we applied a well‐tested methodology (the modified double mass curve) to derive the long‐term, continuous hydrological response curves and then to quantify forest disturbance thresholds on annual streamflow in 42 forested watersheds in British Columbia, Canada. The results show that forest disturbance thresholds for significant and cumulative hydrological impacts vary from 7% to 52% of cumulative equivalent clear‐cut area with an average of 17% or from 8% to 52% of disturbed area with an average of 19%. Climate (inter‐annual and intra‐annual) and watershed properties exert critical controls on forest disturbance thresholds. Watersheds with greater snowfall proportions (more annual precipitation falling as snow), more desynchronizations (temporal mismatching) of energy demand and water supply at the intra‐annual scale, less diverse ecosystems, and larger watershed sizes have lower forest disturbance thresholds. Given the present forest disturbance levels in the central interior of British Columbia, about half (53%) of the forested watersheds have already crossed the average disturbance threshold. These results highlight that watershed planning and management using forest disturbance thresholds must carefully consider local climate and watershed properties. The methodology can be effectively and robustly extended elsewhere around the globe. Plain Language Summary This first‐ever study uses the hydrological response curves to quantify forest disturbance thresholds on annual streamflow in 42 forested watersheds in the interior of British Columbia, Canada. We find that forest disturbance thresholds range from 7% to 52% of cumulative equivalent clear‐cut area with the average of 17%. Climate and watershed properties play critical roles in controlling disturbance thresholds. Watersheds characterized by more annual precipitation falling as snow, more mismatching of energy and water at the intra‐annual scale, larger watershed size, and less diverse ecosystems exhibit lower disturbance thresholds. Management implications and future research needs for preserving hydrological functions are discussed. Key Points A new approach with the hydrological response curves is used to quantify forest disturbance thresholds Forest disturbance thresholds for cumulative impacts on annual streamflow vary from 7% to 52% of cumulative equivalent clear‐cut area with the average of 17% Climate and watershed properties exert critical controls on the thresholds