Hasil untuk "History of Low Countries - Benelux Countries"

J. Fisher, M. Cabral de Mello, V. Patel et al.

OBJECTIVE To review the evidence about the prevalence and determinants of non-psychotic common perinatal mental disorders (CPMDs) in World Bank categorized low- and lower-middle-income countries. METHODS Major databases were searched systematically for English-language publications on the prevalence of non-psychotic CPMDs and on their risk factors and determinants. All study designs were included. FINDINGS Thirteen papers covering 17 low- and lower-middle-income countries provided findings for pregnant women, and 34, for women who had just given birth. Data on disorders in the antenatal period were available for 9 (8%) countries, and on disorders in the postnatal period, for 17 (15%). Weighted mean prevalence was 15.6% (95% confidence interval, CI: 15.4-15.9) antenatally and 19.8% (19.5-20.0) postnatally. Risk factors were: socioeconomic disadvantage (odds ratio [OR] range: 2.1-13.2); unintended pregnancy (1.6-8.8); being younger (2.1-5.4); being unmarried (3.4-5.8); lacking intimate partner empathy and support (2.0-9.4); having hostile in-laws (2.1-4.4); experiencing intimate partner violence (2.11-6.75); having insufficient emotional and practical support (2.8-6.1); in some settings, giving birth to a female (1.8-2.6), and having a history of mental health problems (5.1-5.6). Protective factors were: having more education (relative risk: 0.5; P = 0.03); having a permanent job (OR: 0.64; 95% CI: 0.4-1.0); being of the ethnic majority (OR: 0.2; 95% CI: 0.1-0.8) and having a kind, trustworthy intimate partner (OR: 0.52; 95% CI: 0.3-0.9). CONCLUSION CPMDs are more prevalent in low- and lower-middle-income countries, particularly among poorer women with gender-based risks or a psychiatric history.

Emre Akusta

This study analyzes OECD countries in the context of the energy trilemma index and clusters countries with similar characteristics. In the study, the k-means clustering technique is used. The optimum number of clusters was determined using the Elbow method in combination with the Silhouette Index. Moreover, all results are visualized to enhance comprehensibility. The results show that countries such as Austria, Canada, Finland, and Denmark are in the high energy trilemma group with index scores of 82.2, 82.3, 82.7, and 83.3, respectively. Countries in the high group have achieved a high level of balance between energy security, energy equity, and environmental sustainability. In addition, countries such as Belgium, Hungary, Australia, the Czech Republic, and Estonia are in the medium energy trilemma group with index scores of 76.4, 76.6, 77.1, 77.6, and 78.7, respectively. Countries in the medium group have made progress in balancing the dimensions of the energy trilemma but have not yet reached excellence. However, countries such as Mexico, Türkiye, Colombia, and Costa Rica are in the low energy trilemma group with index scores of 63.1, 64.1, 64.8, and 69.3, respectively. These low energy trilemma group countries face significant challenges in balancing energy security, energy equity, and environmental sustainability and need to make improvements in these areas.

Amit Misra, Syed Waqas Zamir, Wassim Hamidouche et al.

Artificial intelligence (AI) is diffusing globally at unprecedented speed, but adoption remains uneven. Frontier Large Language Models (LLMs) are known to perform poorly on low-resource languages due to data scarcity. We hypothesize that this performance deficit reduces the utility of AI, thereby slowing adoption in Low-Resource Language Countries (LRLCs). To test this, we use a weighted regression model to isolate the language effect from socioeconomic and demographic factors, finding that LRLCs have a share of AI users that is approximately 20% lower relative to their baseline. These results indicate that linguistic accessibility is a significant, independent barrier to equitable AI diffusion.

Leen Dorsman

Marloes Hülsken

Tim Menzner, Jochen L. Leidner, Florian Mittag

In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.

O. Akanni, A. Olashore, AyodeleL Fela-Thomas et al.

In Africa, a systematic appraisal of the associated pattern of psychiatric disorders (PDs) among health-care workers (HCWs) is lacking. We, therefore, aimed to ascertain the pattern of PDs and their associated risk factors among HCWs in Africa during the Coronavirus Disease 2019 pandemic. We identified 12 studies for inclusion after searching four databases: Web of Science, PubMed, AJOL, and EBSCOhost for articles written in English from January 2020 to April 2021. Anxiety disorder with rates from 9.5% to 73.3% and depression, 12.5% to 71.9%, were the most reported PDs. Availability of protective gear and information regarding preventive measures reduced the risk of developing any PDs, while psychoactive substance use, history of chronic medical illness, low level of resilience, and low social support increased these risks. A considerable proportion of HCWs manifest various psychological problems such as their counterparts in other parts of the world. Multiple factors were also implicated as risk, albeit associations were not consistently established across the studies. There is a need to increase research capacity tailored to the HCW population's needs in the continent. © 2021 Medknow. All rights reserved.

Kerolyn K. Shairsingh, G. Ruggeri, M. Krzyzanowski et al.

Abstract Air pollution is the second most important risk factor for noncommunicable diseases, but air quality monitoring is lacking in many low- and middle-income countries. The World Health Organization (WHO) recently released its 2022 updated air quality database status report. This report contains data from about 6743 human settlements, a sixfold increase from 1102 settlements in its first publication in 2011, which shows that air pollution is increasingly recognized as a health priority at global and national levels. However, progress varies across the world. More than 90% of the settlements in the database are in high- and middle-income countries and areas mainly in China, Europe, India and North America. The database is crucial for increasing awareness of air pollution, and for calculating global exposures and the corresponding burden of disease attributable to air pollution. This article describes the progress made and challenges in collecting air quality data. The database uses official data sources which can be difficult to access and assess, because air quality monitoring is done by different government bodies or uses varying monitoring methods. These air quality data can be used by the health sector to engage in discussions on monitoring air quality to protect public health, and facilitate multisectoral engagement of United Nations agencies to support countries to conform with the 2021 WHO air quality guidelines. Although air pollution levels in most countries are higher than those recommended in the guidelines, any action policy-makers take to reduce air pollution will help reduce the burden of air pollution on health.

P. Gautret, M. Million, P. Jarrot et al.

ABSTRACT Introduction: COVID-19 presents benign forms in young patients who frequently present with anosmia. Infants are rarely infected, while severe forms occur in patients over 65 years of age with comorbidities, including hypertension and diabetes. Lymphopenia, eosinopenia, thrombopenia, increased lactate dehydrogenase, troponin, C-reactive protein, D-dimers and low zinc levels are associated with severity.Areas covered: The authors review the literature and provide an overview of the current state of knowledge regarding the natural history of and therapeutic options for COVID-19. Expert opinion: Diagnosis should rely on PCR and not on clinical presumption. Because of discrepancies between clinical symptoms, oxygen saturation or radiological signs on CT scans, pulse oximetry, and radiological investigation should be systematic. The disease evolves in successive phases: an acute virological phase, and, in some patients, a cytokine storm phase; an uncontrolled coagulopathy; and an acute respiratory distress syndrome. Therapeutic options include antivirals, oxygen therapy, immunomodulators, anticoagulants and prolonged mechanical treatment. Early diagnosis, care, and implementation of an antiviral treatment; the use of immunomodulators at a later stage; and the quality of intensive care are critical regarding mortality rates. The higher mortality observed in Western countries remains unexplained. Pulmonary fibrosis may occur in some patients. Its future is unpredictable.

Elizabeth Chatterjee

Abstract Solar energy often appears a resource without a history, perpetually novel and promising futuristic abundance. This overlooks a long episode of ‘low-modernist’ solar research in and for the global South. Focusing especially on India and detouring through Mexico, two important arenas for early solar experimentation, this article traces an alternative history of solar technologies as austere everyday fixes for developing countries. In parallel with the well-known postcolonial focus on high-modernist energy mega-projects, the narrow transnational community of solar experts retained a competing tendency to think small. At its heart lay a dualistic conception of the modern energy economy: flexible and resource-intensive grid electricity for urban centres, inferior off-grid devices to meet the minimal and static needs of the rural poor. This impoverished, feminized Third World projected user base resulted in persistent underinvestment and failed commercialization, helping to explain why solar technologies did not take off earlier. While solar experts emphasized the regional exceptionalism of the arid tropics, the teleological linkage between modernity and ever-rising energy abundance was rejuvenated from below as rural communities began to imagine the high-energy good life as a universal aspiration.

BMGN - Low Countries Historical Review

Jindřich Libovický

We study how multilingual sentence representations capture European countries and occupations and how this differs across European languages. We prompt the models with templated sentences that we machine-translate into 12 European languages and analyze the most prominent dimensions in the embeddings.Our analysis reveals that the most prominent feature in the embedding is the geopolitical distinction between Eastern and Western Europe and the country's economic strength in terms of GDP. When prompted specifically for job prestige, the embedding space clearly distinguishes high and low-prestige jobs. The occupational dimension is uncorrelated with the most dominant country dimensions in three out of four studied models. The exception is a small distilled model that exhibits a connection between occupational prestige and country of origin, which is a potential source of nationality-based discrimination. Our findings are consistent across languages.

S. Nandini, Sanjjushri Varshini R

In the evolving world, we require more additionally the young era to flourish and evolve into developed land. Most of the population all around the world are unaware of the complications involved in the routine they follow while they are pregnant and how hospital facilities affect maternal health. Maternal Mortality is the death of a pregnant woman due to intricacies correlated to pregnancy, underlying circumstances exacerbated by the pregnancy or management of these situations. It is crucial to consider the Maternal Mortality Rate (MMR) in diverse locations and determine which human routines and hospital facilities diminish the Maternal Mortality Rate (MMR). This research aims to examine and discover the countries which are keeping more lavish threats of MMR and countries alike in MMR encountered. Data is examined and collected for various countries, data consists of the earlier years' observation. From the perspective of Machine Learning, Unsupervised Machine Learning is implemented to perform Cluster Analysis. Therefore the pairs of countries with similar MMR as well as the extreme opposite pair concerning the MMR are found.

Omar H. Almahmoud, D. Arabiat, M. Saleh

PROBLEM Hypertension (HTN) is one of the non-communicable whose prevalence is rising in both developed and developing countries. There is a scarcity of data on the prevalence of HTN in Arab countries. This review outlines what is currently known about prevalence and risk factors of HTN in adolescence in Arab world. ELIGIBILITY CRITERIA A systematic review and meta-analysis were conducted using PubMed, Cochrane Library, Scopus, CINAHL, Science Direct, and Google Scholar databases from 2011 to 2021. SAMPLE Fourteen studies from 9 Arab countries met inclusion criteria. Studies included a total of 777 adolescents with HTN and 2147 adolescents with pre-HTN. RESULTS The overall prevalence of HTN among adolescents in the Arab World was estimated at 12.6% (95CI 0.083-0.176), while pre-HTN was 13.9% (95CI 0.084-0205). Overweight and obesity resemble the higher risk of developing hypertension. Family history, high consumption of salt, smoking and low physical activity also increase the risk of HTN. The development of adolescent HTN can be predicted through anthropometric measurements such as Body Mass Index (BMI), wrist circumferences, and high waist circumference. CONCLUSION The prevalence of HTN among adolescents in the Arab world was significant, ranging from 4 to 26%. The heterogeneity between studies was high. IMPLICATION Local governments and policymakers must consider strengthening regulations to address environmental risk factors and improve public awareness about risk factors to HTN. A combined use of nurse- and patient targeted educational interventions could also help in reducing the burden of HTN in this population.

Joris Kok

Szabolcs Nagy, Sergey U. Chernikov, Ekaterina Degtereva

There are significant differences in innovation performance between countries. Additionally, the pharmaceutical sector is stronger in some countries than in others. This suggests that the development of the pharmaceutical industry can influence a country's innovation performance. Using the Global Innovation Index and selected performance measures of the pharmaceutical sector, this study examines how the pharmaceutical sector influences the innovation performance of countries from the European context. The dataset of 27 European countries was analysed using simple, and multiple linear regressions and Pearson correlation. Our findings show that only three indicators of the pharmaceutical industry, more precisely pharmaceutical Research and Development, pharmaceutical exports, and pharmaceutical employment explain the innovation performance of a country largely. Pharmaceutical Research and Development and exports have a significant positive impact on a country's innovation performance, whereas employment in the pharmaceutical industry has a slightly negative impact. Additionally, global innovation performance has been found to positively influence life expectancy. We further outline the implications and possible policy directions based on these findings.

Robert D. Smith, M. Mallath

This review traces the growing burden of cancer in India from antiquity. We searched PubMed, Internet Archive, the British Library, and several other sources for information on cancer in Indian history. Paleopathology studies from Indus Valley Civilization sites do not reveal any malignancy. Cancer-like diseases and remedies are mentioned in the ancient Ayurveda and Siddha manuscripts from India. Cancer was rarely mentioned in the medieval literature from India. Cancer case reports from India began in the 17th century. Between 1860 and 1910, several audits and cancer case series were published by Indian Medical Service doctors across India. The landmark study by Nath and Grewal used autopsy, pathology, and clinical data between 1917 and 1932 from various medical college hospitals across India to confirm that cancer was a common cause of death in middle-aged and elderly Indians. India’s cancer burden was apparently low as a result of the short life expectancy of the natives in those times. In 1946, a national committee on health reforms recommended the creation of sufficient facilities to diagnose and manage the increasing cancer burden in all Indian states. Trends from the Mumbai population-based cancer registry revealed a four-fold increase in patients with cancer from 1964 to 2012. Depending on the epidemiologic transition level, wide interstate variation in cancer burden is found in India. We conclude that cancer has been recognized in India since antiquity. India’s current burden of a million incident cancers is the result of an epidemiologic transition, improved cancer diagnostics, and improved cancer data capture. The increase in cancer in India with wide interstate variations offers useful insights and important lessons for developing countries in managing their increasing cancer burdens.

Berhanu Senbeta Deriba, Kemal Jemal

Globally, more than 20 million newborns are born with low birth weight (LBW) every year. Most of the LBW occurs in low- and middle-income countries. It is the most critical risk of neonate mortality. Therefore, this study aims to identify determinants of low birth weight among women who gave birth in public health facilities in the North Shewa zone. Institutional-based unmatched case–control study was conducted from February to June 2020 to select 180 cases and 380 controls. Interviewer-administered questionnaire was used to collect data. Data were entered through EPI Info and exported to Statistical Package for Social Science (SPSS) for analysis. Text, percentage and tables were used to present data. Bivariate and multivariate logistic regression analyses were performed to see the association and adjusted odds ratios with 95% confidence interval (CI), and P-value < .05 was considered to declare statistical significance. Lack of nutritional counseling (adjusted odds ratio [AOR] = 2.14; 95% CI = [1.13, 4.04]), unable to take iron-folate supplement (AOR = 2.3.78; 95% CI = [2.1, 6.85]), insufficient additional meal in take (AOR = 6.93; 95% CI = [3.92, 12.26]), restriction of foods (AOR=2.29; 95% CI =[1.81, 4.09]), maternal mid upper arm circumference (MUAC) < 23 cm (AOR=2.85; 95% CI = [ 1.68, 4.85]), maternal height ≤155 cm (AOR=3.58; 95% CI = [1.92, 6.7]), anemia (AOR = 2.34; 95% CI = [1.21, 4.53]), pregnancy-related complications (AOR=3.39; 95% CI = [2.02, 5.68]), and alcohol drinking during pregnancy (AOR = 2.25; 95% CI = [1.24, 4.08]) were significantly associated with LBW. Nutritional counseling, iron-folate supplementation, additional meal intake, restriction of some foods in pregnancy, MUAC of the mother, maternal stature, maternal anemia status, pregnancy-related complications, and a history of alcohol drinking during pregnancy were identified as determinants of low birth weight. The intervention-targeted nutritional counseling, early detection and treatment of anemia, and behavioral change communication to pregnant women are mandatory.

Henk Schulte Nordholt

Luiz G. A. Alves, Giuseppe Mangioni, Francisco A. Rodrigues et al.

Countries participate in global value chains by engaging in backward and forward transactions connecting multiple geographically dispersed production stages. Inspired by network theory, we model global trade as a multilayer network and study its power structure by investigating the tendency of eigenvector centrality to concentrate on a small fraction of countries, a phenomenon called localization transition. We show that the market underwent a significant structural variation in 2007 just before the global financial crisis. That year witnessed an abrupt repositioning of countries in the global value chains, and in particular a remarkable reversal of leading role between the two major economies, the US and China. We uncover the hierarchical structure of the multilayer network based on countries' time series of eigenvector centralities, and show that trade tends to concentrate between countries with different power dynamics, yet in geographical proximity. We further investigate the contribution of individual industries to countries' economic dominance, and show that also within industry variations in countries' market positioning took place in 2007. Moreover, we shed light on the crucial role that domestic trade played in the geopolitical landscape leading China to overtake the US and cement its status as leading economy of the global value chains. Our study shows how the 2008 crisis can offer insights to policy makers and governments on how to turn early structural signals of upcoming exogenous shocks into opportunities for redesigning countries' global roles in a changing geopolitical landscape.