Different Sources Of Information Research Articles

Surprisingly low results from studies on cognitive ability in developing countries: are the results credible?

Developing countries achieve surprisingly weak results in international cognitive competence studies. The results are about one to two standard deviations below the average norm-values obtained in Western countries. The results are so low that they are sometimes difficult to believe. For example, in the World Bank collection, Nigeria scored 262 student assessment points (SASQ, about two and a half standard deviations below the norm 500, equivalent in the IQ-scale to 64 points); in the Lim et al. collection, Yemen scored 336 SASQ (equivalent to IQ 75). These results have triggered opposition, factual-scientific criticism, but also ethical debates and political-ideological objections. We crosscheck the values here by comparing different sources of information, statistical analysis, and on-site reports. Results of the different test paradigms seem to be similar for country groups. However, there are sometimes major differences for individual countries. The same is true for comparing different test collections: results of grouped countries are similar, but single countries differ. Using education, GDP per capita and politics to predict test scores shows somewhat higher results for the Global South (5 IQ points), especially for Latin America (rising from 78 to 86 points in an IQ metric). Finally, observational studies of schools and every day life in several countries of the Global South point to problems in the scope and quality of instruction as well as of thinking. To improve outcomes and competences, it is recommended to expand education (e.g., kindergarten, extension of schooling) and better train teachers. Where there are large discrepancies between predictions and test results, the potential seems to be large.

Carrion type and extent of breeding success together influence subsequent carrion choice by adult burying beetles

Abstract Insects can adjust their behaviour in relation to experience in a wide range of contexts including foraging, mate selection and choice of oviposition site. Here, we investigate whether burying beetles Nicrophorus vespilloides modulate their choice of carrion type in relation to the outcome of their past breeding experience. Burying beetles require the carcass of a small vertebrate, such as a mouse or a chick, to reproduce. Beetle parents convert this carrion into an edible nursery for their larvae, whom they typically care for throughout larval development. We tested whether a beetle's past breeding experience influenced its subsequent choice of carrion when presented simultaneously with either a dead mouse or a dead chick. We found that beetles that bred on a mouse and produced many larvae in their first breeding attempt subsequently favoured mice over chicks for their second breeding attempt. Beetles that had produced fewer larvae on a dead mouse switched to favouring dead chicks in their second breeding attempt. Those that had bred on a dead chick chose carrion at random subsequently, regardless of their previous breeding success. Our general conclusion is that burying beetles can integrate different sources of information about their past breeding experience with current cues when selecting carrion for reproduction.

A SENSITIVITY ANALYSIS METHOD COMBINING DEMPSTER-SHAFER THEORY AND MACHINE LEARNING FOR ENERGY-SAVING EVALUATION OF BUILDING OCCUPANT BEHAVIOR

ABSTRACT For a very long time, the research of the sensitivity analysis of occupant behavior to energy assessment has been in the spotlight. The key element of the research is determining the exact probability of occupant behavior uncertainty. However, due to the specificity of occupant behavior, data on occupant behavior from different independent sources of information can differ significantly. This paper explores the use of Dempster-Shafer theory to the sensitivity analysis of energy evaluation of occupant behavior in buildings. The Dempster-Shafer theory is an imprecise probability theory that allows the system to create assumed confidence intervals based on interval values probability combined with knowledge of uncertainty factors from many different sources of information. The findings show that the data processing approach based on Dempster-Shafer theory provides effective and reliable information for evaluating energy related to human behavior in buildings. To begin with, the sensitivity analysis process might be accelerated by applying machine learning to process the data. Then, in order to ensure the accuracy of the simulation results, multiple learning methods can be used. Finally, in this paper, model parameters were chosen based on the specific circumstances as soon as the model had been built in order to effectively reduce costs related to operation and increase model accuracy. To establish the final results, the model is evaluated using global sensitivity analysis methods.

Teaching Students to Perform Child Welfare Assessments with Adaptable Computer-Supported Scripts and Metacognitive Reflection Prompts

ABSTRACT Assessing cases of child welfare requires the ability to engage with different sources of information systematically. This study examined how case-based learning (CBL) can be used to support social work students (N = 104) acquire knowledge crucial to assessing cases of child welfare and whether benefits of CBL could be maximized by structuring the learning process. We conducted a 2*2 quasi experiment and randomly assigned the students to one of the conditions: computer support scripts (adaptable vs. strict scripts), metacognitive reflection prompts (generic vs. specific), or a control group. Students in the guided CBL environment acquired better conceptual knowledge scores compared to counterparts in the unguided CBL environment but not strategic knowledge and reasoning. In the posttest, generic prompts and adaptable scripts were found to be single-handedly effective in fostering conceptual knowledge but not when combined. Future research can examine possibilities of scaffolding activities of assessment to achieve congruent use of conceptual, strategic knowledge and reasoning.

Information needs of Lynch syndrome and BRCA 1/2 mutation carriers considering risk-reducing gynecological surgery: a qualitative study of the decision-making process

BackgroundRisk-reducing gynecological surgery (RRGS) is a prophylactic procedure that may be offered to BRCA1, BRCA2, and Lynch syndrome (LS) mutation carriers to reduce the risk of developing gynecological cancer. This study was conducted to better understand patients’ information needs and evaluate how patients weigh different sources of information in their decision-making process surrounding RRGS.MethodsThis study used a qualitative approach to understanding women’s perspectives towards RRGS. Semi-structured interviews were conducted virtually with 8 women. Women offered RRGS between 35 and 70 years of age who are English-speaking and have an identifiable BRCA or LS mutation were included. Data from interviews was coded with constant comparative analysis to develop themes.ResultsOf the eight women, six had selected to undergo either prophylactic hysterectomy or oophorectomy: 5 decided yes to RRGS; 1 decided no; 2 were undecided. Thematic analysis found that the key factors affecting women’s decisions around prophylactic surgery were cancer risk, surgical menopause, and psychological readiness. To make an informed decision, women relied most heavily on information provided by healthcare professionals (e.g. doctors, genetic counselors) and family members with prior cancer experience. However, some women reported that they did not feel adequately informed enough to make a decision and identified COVID-19 as a significant barrier affecting access to information.ConclusionThis qualitative study revealed the key sources of information influencing attitudes regarding RRGS and how women consulted different sources of information to reach a decision. Results underscore the need for greater attention to women’s information needs in the context of psychological readiness, particularly amidst the pandemic. Research involving a larger sample size may help to better inform how support can be provided to individuals with BRCA and LS mutations considering RRGS.

First confirmed records of Teratohyla midas (Lynch & Duellman, 1973) (Anura, Centrolenidae) from Bolivia

Different sources of information indicate the possible presence of Teratohyla midas (Lynch & Duellman, 1973) in Bolivia; however, none of them confirm this scenario. Here we confirm the presence of T. midas in the northern Bolivian Amazon (Pando Department) and extend the geographical distribution of the species to include Bolivia. Likewise, we contribute information on some aspects of this species’ behavior and natural history.

Understanding differences of the OA uptake within the German University landscape (2010–2020): Part 2—repository-provided OA

AbstractThis article is the second part of the investigation of the determinants for the uptake of Open Access (OA). While the first part focusses on journal-based OA (hybrid and full OA) (Taubert et al. in Scientometrics 128(6):3601–3625, 2023), the article at hand investigates the determinants for the uptake of institutional and subject repository OA in the university landscape of Germany. Both articles consider three types of factors: the disciplinary profile of universities, their OA infrastructures and services and large transformative agreements The article also apply a conjoint methodological design: the uptake of OA as well as the determinants are measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements). For universities’ OA infrastructures and services, a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both institutional as well as subject repository OA. Given that both articles derive from the same project, there is a thematical overlap in the methods and data section. As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both repository OA-types turned out to be the disciplinary profile, whereas all variables that capture local infrastructural support and services for OA turned out to be non-significant. The outcome of the regression analyses is contextualised by an interview study conducted with 20 OA officers of German universities. The contextualisation provides hints that the original function of institutional repositories, offering a channel for secondary publishing is vanishing, while a new function of aggregation of metadata and full texts is becoming of increasing importance.

Planning for Deer-Hunting Management at the Local and Regional Scales: Reconciling Economic, Social and Ecological Functions

Game species with home ranges exceeding the area of the management units may entail conflicts over hunting rights and cause damage to crops and forest stands in surrounding areas. This is currently the case in the Mendro Mountain Range (Portugal), inhabited by free-ranging red (Cervus elaphus) and fallow deer (Dama dama) populations. This study’s primary goal was to uncover the processes underlying these tensions and identify solutions to overcome them, thus reconciling the economic, social, and ecological functions of hunting. We analyzed data from three different sources of information regarding the surveyed management units: biophysical and anthropical spatial data collected using a GIS; typology, whether fenced, area and game bag results, data provided by a public institute; crop and forest damage locations reported by game managers. Approximately half of the surveyed open management units reported damage. We found no relationship between damage and game bag results, regardless of the typology and habitat quality index. To address this disconnection between the negative and positive values associated with deer locally, we proposed habitat management solutions. It is of chief importance to keep valuable crops apart from deer’s refuge cover, such as bushy areas, to minimize damage in management units where deer hunting is a subsidiary activity. Conversely, in management units where deer hunting is of significant economic importance, the food and refuge cover should be closely interspersed to increase the management unit’s carrying capacity. To improve the efficacy of measures such as this at a regional scale, as in the Mendro Mountain Range, we recommend implementing a so-called Global Management Plan. In Portuguese law, this governance instrument applies to the entire biologic unit where the deer populations occur, thus implying arrangements between the involved stakeholders and multiple other concerned institutions.

Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019.

Despite a global epidemiological transition towards increased burden of non-communicable diseases, communicable diseases continue to cause substantial morbidity and mortality worldwide. Understanding the burden of a wide range of infectious diseases, and its variation by geography and age, is pivotal to research priority setting and resource mobilisation globally. We estimated disability-adjusted life-years (DALYs) associated with 85 pathogens in 2019, globally, regionally, and for 204 countries and territories. The term pathogen included causative agents, pathogen groups, infectious conditions, and aggregate categories. We applied a novel methodological approach to account for underlying, immediate, and intermediate causes of death, which counted every death for which a pathogen had a role in the pathway to death. We refer to this measure as the burden associated with infection, which was estimated by combining different sources of information. To compare the burden among all pathogens, we used pathogen-specific ratios to incorporate the burden of immediate and intermediate causes of death for pathogens modelled previously by the GBD. We created the ratios by using multiple cause of death data, hospital discharge data, linkage data, and minimally invasive tissue sampling data to estimate the fraction of deaths coming from the pathway to death chain. We multiplied the pathogen-specific ratios by age-specific years of life lost (YLLs), calculated with GBD 2019 methods, and then added the adjusted YLLs to age-specific years lived with disability (YLDs) from GBD 2019 to produce adjusted DALYs to account for deaths in the chain. We used standard GBD methods to calculate 95% uncertainty intervals (UIs) for final estimates of DALYs by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. We provided burden estimates pertaining to all ages and specifically to the under 5 years age group. Globally in 2019, an estimated 704 million (95% UI 610-820) DALYs were associated with 85 different pathogens, including 309 million (250-377; 43·9% of the burden) in children younger than 5 years. This burden accounted for 27·7% (and 65·5% in those younger than 5 years) of the previously reported total DALYs from all causes in 2019. Comparing super-regions, considerable differences were observed in the estimated pathogen-associated burdens in relation to DALYs from all causes, with the highest burden observed in sub-Saharan Africa (314 million [270-368] DALYs; 61·5% of total regional burden) and the lowest in the high-income super-region (31·8 million [25·4-40·1] DALYs; 9·8%). Three leading pathogens were responsible for more than 50 million DALYs each in 2019: tuberculosis (65·1 million [59·0-71·2]), malaria (53·6 million [27·0-91·3]), and HIV or AIDS (52·1 million [46·6-60·9]). Malaria was the leading pathogen for DALYs in children younger than 5 years (37·2 million [17·8-64·2]). We also observed substantial burden associated with previously less recognised pathogens, including Staphylococcus aureus and specific Gram-negative bacterial species (ie, Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa, Acinetobacter baumannii, and Helicobacter pylori). Conversely, some pathogens had a burden that was smaller than anticipated. Our detailed breakdown of DALYs associated with a comprehensive list of pathogens on a global, regional, and country level has revealed the magnitude of the problem and helps to indicate where research funding mismatch might exist. Given the disproportionate impact of infection on low-income and middle-income countries, an essential next step is for countries and relevant stakeholders to address these gaps by making targeted investments. Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.

Old age is also a time for change: trends in news intermediary preferences among internet users in Canada and Spain

The social distancing imposed by the Covid-19 pandemic accelerated the digitalisation of societies, which also influenced habits related to the consumption and dissemination of news. In this context, older individuals are often blamed for contributing to disinformation, which is associated with the echo chambers fostered by social media. Mass media, social media and personal communication tools act as mass, social or personal intermediaries when it comes to keeping up to date with the news. This paper analyses the preferred intermediaries of older online adults (aged 60 and over) for following the news and how they change over time. We analysed two waves of an online survey-based longitudinal study conducted in Canada and Spain, before Covid-19 pandemic (2016/17), and during Covid-19 (in 2020). We found that most participants exclusively use mass intermediaries or combine mass with social and personal intermediaries to keep abreast of the news. However, only 28% of respondents inform themselves exclusively through the alleged echo chambers of social and personal intermediaries. Results also show that media ecologies evolve in different directions, and, despite the forced digitalisation driven by the pandemic, digital media usage did not always increase or evolve towards newer technologies. This paper contributes to understanding the diverse intermediaries used by older adults to obtain news and how such media ecologies can contribute to contrasting different sources of information beyond the alleged echo chambers of social media.

The contribution of semantic distance knowledge to size constancy in perception and grasping when visual cues are limited

To achieve a stable perception of object size in spite of variations in viewing distance, our visual system needs to combine retinal image information and distance cues. Previous research has shown that, not only retinal cues, but also extraretinal sensory signals can provide reliable information about depth and that different neural networks (perception versus action) can exhibit preferences in the use of these different sources of information during size-distance computations. Semantic knowledge of distance, a purely cognitive signal, can also provide distance information. Do the perception and action systems show differences in their ability to use this information in calculating object size and distance? To address this question, we presented ‘glow-in-the-dark’ objects of different physical sizes at different real distances in a completely dark room. Participants viewed the objects monocularly through a 1-mm pinhole. They either estimated the size and distance of the objects or attempted to grasp them. Semantic knowledge was manipulated by providing an auditory cue about the actual distance of the object: “20 cm”, “30 cm”, and “40 cm”. We found that semantic knowledge of distance contributed to some extent to size constancy operations during perceptual estimation and grasping, but size constancy was never fully restored. Importantly, the contribution of knowledge about distance to size constancy was equivalent between perception and action. Overall, our study reveals similarities and differences between the perception and action systems in the use of semantic distance knowledge and suggests that this cognitive signal is useful but not a reliable depth cue for size constancy under restricted viewing conditions.

Dietary supplementation habits in international natural bodybuilders during pre-competition

Bodybuilding is characterized by high-rates of sport supplementation. This is the first study to compare the supplementation patterns of winners (WB) and non-winners (NWB) among international natural bodybuilders during contest preparation. Fifty-six natural bodybuilders (5 women) (age = 28.85 ± 8.03 years; final body mass = 71.50 ± 10.28 kg), 19 WB (athletes who had achieved victory in an official natural bodybuilding championship at least once) and 37 NWB (athletes who never achieved victory), from 18 countries (55.36% from Spain) responded to this cross-sectional online survey related to their nutritional habits, strategies and supplementation practices. WB were significantly older (p = 0.024), completed more competitive seasons (p = 0.027) and participated in more competitions in the last contest year (p = 0.011). There were no significant differences between WB and NWB for years training for bodybuilding (p = 0.055), weeks of dieting for competition (p = 0.392), and body weight at the start (p = 0.553) and end (p = 0.330) of the season. Beverage and supplement consumption, purchasing patterns, and information sources did not differ between groups (p > 0.05). In conclusion, natural bodybuilding WB tended to be older and had more competitive experience, but shared similar supplementation protocols to NWB. Athletes' supplementation patterns were influenced by different sources of information. However, these natural bodybuilders mainly purchased their supplements through the internet without guidance from a coach or dietitian.

Zooming Into Video Conferencing Privacy

The COVID-19 pandemic outbreak, with its related social distancing and shelter-in-place measures, has dramatically affected ways in which people communicate with each other, forcing people to find new ways to collaborate, study, celebrate special occasions, and meet with family and friends. One of the most popular solutions that have emerged is the use of video conferencing applications to replace face-to-face meetings with virtual meetings. This resulted in unprecedented growth in the number of video conferencing users. In this study, we explored privacy issues that may be at risk by attending virtual meetings. We extracted private information from collage images of meeting participants that are publicly posted on the Web. We used image processing, text recognition tools, as well as social network analysis to explore our web crawling curated dataset of over 15,700 collage images, and over 142,000 face images of meeting participants. We demonstrate that video conference users are facing prevalent security and privacy threats. Our results indicate that it is relatively easy to collect thousands of publicly available images of video conference meetings and extract personal information about the participants, including their face images, age, gender, usernames, and sometimes even full names. This type of extracted data can vastly and easily jeopardize people's security and privacy both in the online and real-world, affecting not only adults but also more vulnerable segments of society, such as young children and older adults. Finally, we show that cross-referencing facial image data with social network data may put participants at additional privacy risks they may not be aware of and that it is possible to identify users that appear in several video conference meetings, thus providing a potential to maliciously aggregate different sources of information about a target individual.

When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification

With the rise of Web 2.0 platforms such as online social media, people’s private information, such as their location, occupation and even family information, is often inadvertently disclosed through online discussions. Therefore, it is important to detect such unwanted privacy disclosures to help alert people affected and the online platform. In this paper, privacy disclosure detection is modeled as a multi-label text classification (MLTC) problem, and a new privacy disclosure detection model is proposed to construct an MLTC classifier for detecting online privacy disclosures. This classifier takes an online post as the input and outputs multiple labels, each reflecting a possible privacy disclosure. The proposed presentation method combines three different sources of information, the input text itself, the label-to-text correlation and the label-to-label correlation. A double-attention mechanism is used to combine the first two sources of information, and a graph convolutional network is employed to extract the third source of information that is then used to help fuse features extracted from the first two sources of information. Our extensive experimental results, obtained on a public dataset of privacy-disclosing posts on Twitter, demonstrated that our proposed privacy disclosure detection method significantly and consistently outperformed other state-of-the-art methods in terms of all key performance indicators.

Kernel Probabilistic Dependent-Independent Canonical Correlation Analysis

There is growing interest in developing linear/nonlinear feature fusion methods that fuse the elicited features from two different sources of information for achieving a higher recognition rate. In this regard, canonical correlation analysis (CCA), cross-modal factor analysis, and probabilistic CCA (PCCA) have been introduced to better deal with data variability and uncertainty. In our previous research, we formerly developed the kernel version of PCCA (KPCCA) to capture both nonlinear and probabilistic relation between the features of two different source signals. However, KPCCA is only able to estimate latent variables, which are statistically correlated between the features of two independent modalities. To overcome this drawback, we propose a kernel version of the probabilistic dependent-independent CCA (PDICCA) method to capture the nonlinear relation between both dependent and independent latent variables. We have compared the proposed method to PDICCA, CCA, KCCA, cross-modal factor analysis (CFA), and kernel CFA methods over the eNTERFACE and RML datasets for audio-visual emotion recognition and the M2VTS dataset for audio-visual speech recognition. Empirical results on the three datasets indicate the superiority of both the PDICCA and Kernel PDICCA methods to their counterparts.

Attitude toward vaccination against COVID-19 and acceptance of the national "QazVac" vaccine in the Aktobe city population, West Kazakhstan: A cross-sectional survey.

The scale of emergency caused by COVID-19, the ease of survey, and the crowdsourcing deployment guaranteed by the latest technology have allowed unprecedented access to data describing behavioral changes induced by the pandemic. The study aimed to present the survey results identifying attitudes toward vaccination against COVID-19 among the population of West Kazakhstan, the level of confidence in the national QazVac vaccine, and the role of different sources of information on COVID-19 in decision-making concerning vaccination. A computer-assisted survey was conducted using WhatsApp messenger. Overall, 2,009 participants responded, with a response rate of 92%. Most (83.1%) were immunized against COVID-19; among them, 20.1% obeyed the request of their employers that had been practiced within non-pharmaceutical interventions to contain the disease. The youngest respondents, individuals with a college education, students, and employed people, as well as those with chronic diseases, showed positive attitudes toward vaccination (all p<0.05). About two-thirds of respondents (69.2%) expressed trust in all types of vaccines against COVID-19. Of those who refused vaccination (16.9%), about one-third feared vaccination consequences, and more than a third (38.2%) reported anti-vaccine sentiments. The decisive factors in accepting vaccination were trust in official sources of information (reports of medical experts, etc.) and, mainly, subjectively interpreted sufficiency of information about the disease, which had increased the odds of being vaccinated by 63.9% (OR 1.71, 95% CI [1.3;2.26], p<0.05). Confidence in the domestic QazVac vaccine was expressed by 37.7% of respondents. History and severity of COVID-19 disease did not play a role in positive perceptions of vaccination, while illness after vaccination substantially affected vaccination approval (p 0.021). No significant differences have been observed regarding the overall performance across five vaccines (QazVac, Sputnik V, CoronaVac, Hayat-Vax, and BioNTech/Pfizer) available for Kazakhstan's population (p 0.27).

Information Search for Bank Loan: A Study of Nepalese Entrepreneur

The paper attempts to investigate how consumers search information for bank loans and endeavors to provide insight into the different sources of information that entrepreneurs mostly used to grab detailed information regarding loan services. Based on data collection through structured questionnaires using correlation and regression analysis, results reveal that entrepreneurs mostly use bank sources as a source of information. Though Nepalese Entrepreneurs are aware of sources of information due to the non-availability of the required information as well as the trustworthiness of the obtained information they believe bank sources as trusted and reliable sources rather than other sources. The sample comprising of 130 employees in the Information Technology (IT) industry which were selected by non-probability sampling. It is concluded that Interest rate was found to be the most important criterion followed by the duration of the loan, monthly installment, payment flexibility, and processing fee by Nepalese entrepreneurs to decide the choice of bank.

The characteristics of the families Anisopodidae and Mycetophilidae (Insecta: Diptera)

The Anisopodidae is a cosmopolitan family of Diptera belonging to the mosquito group. The larvae live and feed on all types of decomposing material such as excrement, manure, vegetables, or dead wood. Adults are found mainly in summer in forests, meadows, and gardens, they are regularly seen on windows, both indoors and outdoors, which is why they have been called “window mosquitoes” or “wood mosquitoes”. Mycetophilidae in Brazil, this insect mainly damages ornamental plants and causes great damage. Also, in seedlings of different crops, such as citrus, tobacco, strawberry, and others. Many sites on the internet say that adults do not harm plants, but this is a mistake. Fungus gnats’ mosquitoes can cause great damage but in an indirect way. These little mosquitoes can carry harmful pathogens, that is, they can carry and spread diseases to your plants. The larvae can feed on the roots, and leaves and can even be found inside the stem, this is especially bad for young plants, such as seedlings, which have only a few delicate roots. Therefore, when you see two plants withering or turning yellow, this could be caused by fungus gnats (without roots the plant cannot absorb water or nutrients). The most common insect causing damage to greenhouses and indoor plants. The objective of the manuscript is to characterize the Anisopodidae and Mycetophilidae families. The bibliographic review methodology consists of a review of existing bibliographic material that concerns the subject to be studied. This is one of the main steps for any research and includes the selection of different sources of information, which can be collected in theoretical books; Banks of theses and dissertations from universities; Scientific articles; Scientific magazines; Documents; Websites; A bibliographic research methodology includes a set of phases that cover questions such as 1-Observation; Inquiry; Interpretation; Reflection; Analysis.

Integrated mapping of ecosystems and assessment of forest ecosystem services at river basin scale

Ecosystems provide various goods and services to society and their valuation is among the main objectives of the concept of ecosystem services (ES). The mapping of ecosystems is the main building block of the whole process of the Mapping and Assessment of Ecosystems and their Services (MAES). The analyses of the ecosystem data produced during the implementation of the national methodology for mapping ecosystems in Bulgaria (MAES BG) reveal some problems that may cause confusion in cases of integrated assessment of all ecosystem types. In this paper, we present an approach that enables formulation of a uniform spatial dataset based on the mapping of the main ecosystem types, that can be used for mapping of ES at a river basin scale. It has been applied to the upper part of the Ogosta River basin and the result is a topologically correct uniform spatial data layer. The approach gives one possible solution to problems related to the different sources of information and the discrepancies between ecosystem types in the national mapping of ecosystems in Bulgaria. It is based on the use of a uniform spatial framework that outlines the ecosystem types and sets the initial database for further mapping. This ensures a topologically correct spatial dataset for the ecosystems and a background for further updates for each ecosystem at the different levels of MAES typology. The most appropriate spatial basis for the territory of Bulgaria is the database for the physical blocks of the Ministry of Interior. Its application to the studied river basin gives encouraging results and can be used as an example for similar areas. Further development of the approach will ensure the mapping of the forest ecosystems at level 3 of the MAES BG typology and more precise delineation of the grassland, heathland, freshwater, and sparsely vegetated ecosystems.

Musculoskeletal Hypertrophy Training for Overweight and Obesity

The present research is an exploratory, descriptive, and documentary study that aimed to analyze the impact of musculoskeletal hypertrophy training on the improvement of overweight and obesity. Different sources of information were reviewed: Google Scholar, Science Direct, PubMed, Springer, among others. A total of 19 articles related to training for hypertrophy, musculoskeletal, overweight and obesity were reviewed. The most salient findings were that training for skeletal muscle hypertrophy and muscle mass development is beneficial to health in overweight and obese populations. The problems faced by overweight and obese individuals when attempting to improve their current health status were broadly identified, with one of the main causes being cultural ignorance of the benefits of hypertrophy-focused strength training.