Area Of Research Research Articles

Using local ensemble models and Landsat bare soil composites for large-scale soil organic carbon maps in cropland

National soil organic carbon (SOC) maps are essential to improve greenhouse gas accounting and support climate-smart agriculture. Large-scale SOC models based on wall-to-wall soil information from remote sensing remain a challenge due to the high diversity of natural soil conditions and the difficulty of accounting for the spatial location of the soil samples. In this study, we tested if the implementation of local ensemble models (LEM) can be used to improve the SOC predictions from Landsat-based soil reflectance composites (SRC) for Germany. For this, we divided the research area into 30 times 30 km tiles and calculated local generalized linear models (GLM) based on random, nearby observations. Based on the GLMs, local SOC maps were predicted and aggregated using a moving window approach. The local variable importance was analyzed to identify spatial dependencies in the correlation between the SRC and SOC. For the final SOC map, a Random Forest (RF) model was trained using the aggregated local SOC predictions, the SRC, and a full set of training samples from the agricultural soil inventory. The results show that the LEM was able to improve the accuracy (R2 = 0.68; RMSE = 5.6 g kg−1), compared to the maps based on a single, global model (R2 = 0.52; RMSE = 6.8 g kg−1). The local variable importance of the spectral bands showed clear spatial patterns throughout the research area. Differences can be explained by the local soil conditions, influencing the correlation between SOC and the spectral properties. Compared to the widely adopted integration of distance covariates such as geographical coordinates, the LEM was able the reduce the spatial autocorrelation to a greater extent and to improve the prediction accuracy, especially for underrepresented SOC values. The LEM presents a new method to integrate spatial information and increase the interpretability of DSM models.

The Relationship between Physical Activity, Physical Fitness, Cognition, and Academic Outcomes in School-Aged Latino Children: A Scoping Review.

This scoping review provides an overview of the relationship between physical activity, physical fitness, cognition, and academic outcomes in Latino school-aged children and identifies areas for future research. A primary search was conducted in PubMed, PsycINFO, Web of Science, and ERIC for original-research articles meeting the inclusion criteria; the search results were uploaded into PICO Portal and assessed by two independent reviewers. Of the 488 initial search results, 50 articles were eligible for full-text review, and 38 were included in this review. Most studies were cross-sectional, conducted in the United States or Chile, and included children 5-18 years old. Overall, the majority of articles reported positive associations between physical activity or physical fitness and cognitive outcomes (n = 11/12; 91.7%), and physical activity or physical fitness and academic outcomes (n = 22/28; 78.6%). In sum, this review provided consistent evidence for higher amounts of physical activity and greater physical fitness to be associated with various positive cognitive and academic outcomes in a school-aged Latino population. This scoping review also elucidated a substantial gap in the research regarding study design, with a discernible lack of interventional efforts. Future studies should test physical activity interventional strategies to optimize cognitive and academic outcomes in school-aged Latino populations.

A3C: An Image-Association-Based Computing Device Authentication Framework for People with Upper Extremity Impairments

Current computing device authentication often presents accessibility barriers for people with upper extremity impairments (UEI). In this paper, we present a framework called Accessible image-Association-based Authentication for Computing-devices (A3C) , a novel recognition-based graphical authentication framework specifically designed for people with UEI to authenticate to their computing devices. A3C requires users to provide a set of primary images that the user knows that are recognizable to them and subsequently associate each primary image with a secondary image. To evaluate the efficacy of the A3C framework, we instantiated the framework by implementing a version of A3C called A3C-FA , which uses images of faces of people the user knows as the primary image and animal images as the secondary image. We then performed three studies to evaluate A3C-FA: a shoulder-surfing attack study ( N=319 ), a close-adversary attack study ( N=268 ), and a usability study with people with UEI ( N=14 ). We found that A3C was robust against both shoulder-surfing and close-adversary attacks. We also performed a detailed study to evaluate the accessibility of A3C-FA. Our participants reported that A3C-FA was more usable and more secure than the authentication approaches with which they were familiar. Based on these findings, we suggest four areas of future research to further improve the design of A3C framework.

It's time to shed some light on the importance of fungi in neonatal intensive care units: what do we know about the neonatal mycobiome?

The 21st century, thanks to the development of molecular methods, including DNA barcoding, using Sanger sequencing, and DNA metabarcoding, based on next-generation sequencing (NGS), is characterized by flourishing research on the human microbiome. Microbial dysbiosis is perceived as a new pathogenetic factor for neonatal diseases. Fungi are crucial, but neglected, components of the neonatal microbiome, which, despite their low abundance, significantly impact morbidity and mortality rates of premature infants hospitalized in Neonatal Intensive Care Units (NICUs). The neonatal mycobiome's composition and effect on health remain poorly studied research areas. Our knowledge about neonatal mycobiome, composed of limited genera, is mainly based on research on the bacterial microbiome. We presume it is influenced by clinical factors, including prematurity, antibiotic therapy, and type of delivery. Understanding these risk factors may be useful in prevention strategies against dysbiosis and invasive fungal infections. Despite the methodological challenges resulting from the biology of the fungal cell, this topic is an attractive area of research that may contribute to more effective treatment, especially of newborns from risk groups. In this mini review, we discuss the current state of knowledge, research gaps, study difficulties, and future research directions on the neonatal mycobiome, concerning potential future clinical applications.

Scientific and Theoretical Basis for Training Future Communication Specialists in Higher Military Education Institutions

Since 2014 Ukraine has been under the military influence of the Russian aggressor and in February 2022, it immediately turned into a full-scale war. Equipping the Armed Forces of Ukraine with sophisticated weapons, expanding the range of tactical techniques for conducting combat operations in various conditions necessitated a broad scientific search for ways to develop and improve the training (combat) process, including physical training, which has always been considered the most important factor in the high combat capability of the Armed Forces of Ukraine and the Security and Defense Sector of Ukraine. According to the results of the analysis of scientific, methodological and specialised literature, it has been established that the system of training future communication specialists for military and professional activities needs a scientifically based transformation in accordance with the requirements of today. The purpose to analyse the scientific, methodological and special literature on the training of future communication specialists for military and professional activities by means of special physical training. Research methods: analysis, synthesis, comparison, systematization of scientific and special sources. Conclusions. As a result of the analysis of scientific, methodological and specialised literature, it is determined that the system of training future communication specialists for military professional activities needs a scientifically based transformation in accordance with the new requirements of today. The article also analyses various approaches of modern scholars to the training of future specialists for professional activities using special physical exercises. In addition, in the context of theoretical research, we have identified an insufficient number of scientific papers devoted to solving the practical problem of training future communication specialists for military professional activities by means of special physical training, which emphasises the relevance and practical component of the chosen area of scientific research.

Smart Wheel Chair for Specially Abled People

Numerous people experience either temporary or permanent disability as a result of illnesses or accidents. When one's mobility is difficult or impossible, using a wheelchair becomes essential. Wheelchairs that are manually or electrically operated sufficiently satisfy the requirements of people with mild to moderate disabilities, enabling them to drive the wheelchair on their own. However, using a wheelchair independently becomes difficult or impossible in cases of severe handicap. To overcome these obstacles, wheelchair technology researchers are working to create intelligent wheelchair solutions. This paper reviews recent research on smart wheelchair systems with the goal of evaluating current technology and identifying future areas of research.

FGMNet: Feature grouping mechanism network for RGB-D indoor scene semantic segmentation

Semantic segmentation is a basic and long-standing research area. Depth images can enrich RGB (red-green-blue) images with their rich geometric information, so as to achieve accurate semantic segmentation. However, redundant information exists in RGB and depth images, and its handling has become an important problem. Filter group convolutions are widely used because they can eliminate redundant information and reduce computational complexity and parameter cost. Similarly, we propose a feature grouping mechanism network (FGMNet) using an attention mechanism and contextual information extraction for indoor scene semantic segmentation. First, modules of pyramid feature grouping attention and feature augmentation highlight the most useful information obtained by combining RGB and depth features. The enhanced features are then fed into a feature grouping contextual module. Results from extensive experiments on well-known indoor scene semantic segmentation datasets, NYUDv2 and SUN RGB-D, indicate that our FGMNet outperforms the most advanced existing methods in RGB-D semantic segmentation.

Responsible research assessment in the area of quantitative methods research: A comment on Gärtner et al.

In this commentary, we discuss the proposed criteria in Gärtner et al. (2022) for hiring or promoting quantitative methods researchers. We argue that the criteria do not reflect aspects that are relevant to quantitative methods researchers and typical publications they produce. We introduce a new set of criteria that can be used to evaluate the performance of quantitative methods researchers in a more valid fashion. We discuss the necessity to balance scientific expertise and open science commitment in such ranking schemes.

Macrophages-Mediated Liver Fibrosis: A Bibliometric Analysis

Background: Macrophages play a significant role in both the development and regression of liver fibrosis, engaging in related pro-inflammatory and anti-inflammatory processes. In recent years, an increasing number of studies have elucidated the mechanisms by which macrophages influence liver fibrosis. Objectives: This bibliometric analysis aims to investigate the research trends in liver fibrosis regulation by macrophages through a systematic literature review. Methods: We conducted a search for literature, including research articles and reviews, using the keywords 'liver fibrosis and macrophages' and 'liver cirrhosis and macrophages' in the Web of Science database, covering the period from 2007 to 2023. We retrieved and analyzed publications on liver fibrosis mediated by macrophages from the Web of Science Core Collection database on October 8, 2023. Visualization analysis was performed using CreateSpace (version 6.1.R6), VOSviewer (version 1.6.19), and Scimago Graphica (version 1.0.34.0). Results: We identified a total of 1732 records in the WoSCC, of which 1664 papers were ultimately included in our analysis. China emerged as the country with the most significant number of publications, while Germany and the University of California San Diego stood out for their influence, with centralities of 0.41 and 0.14, respectively. Frank Tacke was identified as the most prolific author, contributing 49 papers. Hepatology was the journal with the highest number of publications and citations. The most frequently mentioned keywords in this field were liver fibrosis, expression, hepatic stellate cells, activation, inflammation, and macrophages. Conclusions: The study of macrophage-mediated liver fibrosis, particularly the mechanisms regulating the heterogeneity of hepatic macrophages, is a mature and promising research area. Macrophage-based therapies for liver fibrosis are anticipated to be crucial topics in the future. Bibliometric analysis offers valuable insights for future basic research directions and clinical practice.

The complex landscape of intracellular signalling in protein modification under hyperglycaemic stress leading to metabolic disorders.

Hyperglycaemia is a life-threatening risk factor that occurs in both chronic and acute phases and has been linked to causing injury to many organs. Protein modification was triggered by hyperglycaemic stress, which resulted in pathogenic alterations such as impaired cellular function and tissue damage. Dysregulation in cellular function increases the condition associated with metabolic disorders, including cardiovascular diseases, nephropathy, retinopathy, and neuropathy. Hyperglycaemic stress also increases the proliferation of cancer cells. The major areas of experimental biomedical research have focused on the underlying mechanisms involved in the cellular signalling systems involved in diabetes-associated chronic hyperglycaemia. Reactive oxygen species and oxidative stress generated by hyperglycaemia modify many intracellular signalling pathways that result in insulin resistance and β-cell function degradation. The dysregulation of post translational modification in β cells is clinically associated with the development of diabetes mellitus and its associated diseases. This review will discuss the effect of hyperglycaemic stress on protein modification and the cellular signalling involved in it. The focus will be on the significant molecular changes associated with severe metabolic disorders.

Progress report: Peutz-Jeghers syndrome.

Peutz-Jeghers syndrome is a rare, autosomal dominant polyposis syndrome. Presenting with a remarkable phenotype including development of characteristic gastrointestinal polyps, mucocutaneous pigmentations, and an increased risk of cancer, the syndrome has been subject to many studies concerning the natural course of disease. In most patients, pathogenic germline variants are detected in the STK11 gene including cases of mosaicism and structural variants. Yet, studies assessing the effect of surveillance, understanding of cancer development, as well as clinical studies evaluating chemoprevention are lacking. In addition, the impact of Peutz-Jeghers syndrome on mental health, education, and family planning are insufficiently addressed. In this progress report, we describe current knowledge, clinical phenotype, surveillance strategies, and future areas of research.

Food in a plate or food in a plate with a sustainable toy: A thematic analysis of parents’ perception and children behavior

BACKGROUND: Using innovative and creative marketing promotional techniques for the children food items along with freebies with eco-friendly or sustainable toys which attract them to consume foods that are not particularly good for health is the area of research which is most concerning these days considering the United Nations Sustainable development goals of Good well-being and responsible productions and consumption. OBJECTIVE: This paper is intended to explore and analyze the effectiveness of the innovative marketing techniques like the use of sustainable toys, tattoos, and stickers employed as toys with food by leading FMCG companies in India for influencing children behavior. METHODS: This research presents the results of in-depth interviews conducted and participants’ were selected through quota sampling from working mothers, non-working mothers, and other non-working mothers with full-time maid support. Grounded theory and inductive approach were used in the study. RESULTS: Five themes were evident across all the groups of mothers’ with respect to toys with food. Results showed that the themes underlying the gift in food for kids are portrayal of snacking, exaggerating the claims, enriching the moods, ameliorate the popularity and denigration of core foods. So, the results suggested that toys even though sustainable in nature with food marketing negatively affect the child behavior and health of kids. CONCLUSION: The study suggested that toys with food strategy can positively be presented /deliver a message to kids and companies can use healthy food items with these eco-friendly premiums which would benefit both the parties. The paper presents the concepts and themes that present the understanding of the mothers’ perspective of toys with food offered by companies in Indian perspective.

Trends and Issues in Experiential and Outdoor Education Programs

This brief article summarizes five trends and issues discussed during a moderated panel and round table discussion at the Association for Experiential Education (AEE) Symposium on Experiential Education Research (SEER) in November 2023. The aim of this session was to expand on prior documented trends and disseminate current experiential and outdoor education (EOE) trends, issues, and related research. These are only a few of the many EOE trends and issues but they represent both meta trends/issues and program-specific trends. This session was designed for scholars and practitioners who teach, provide program administration, and/or conduct research and evaluation efforts for EOE and related disciplines. Topics included cultural representation in the outdoors, trauma and mental health trends, safety II: a new view of risk management, nature and outdoor programming, and whether college outdoor orientation leaders should be paid. We hope that you, the reader, are inspired to consider what trends and issues are impacting your work and explore areas for future research.

Causal effect of severe and non-severe malaria on dyslipidemia in African Ancestry individuals: A Mendelian randomization study.

Dyslipidemia is becoming prevalent in Africa, where malaria is endemic. Observational studies have documented the long-term protective effect of malaria on dyslipidemia; however, these study designs are prone to confounding. Therefore, we used Mendelian randomization (MR, a method robust to confounders and reverse causation) to determine the causal effect of severe malaria (SM) and the recurrence of non-severe malaria (RNM) on lipid traits. We performed two-sample MR using genome wide association study (GWAS) summary statistics for recurrent non-severe malaria (RNM) from a Benin cohort (N=775) and severe malaria from the MalariaGEN dataset (N=17,000) and lipid traits from summary-level data of a meta-analyzed African lipid GWAS (MALG, N=24,215) from the African Partnership for Chronic Disease Research (APCDR) (N=13,612) and the Africa Wits-IN-DEPTH partnership for genomics studies (AWI-Gen) dataset (N=10,603). No evidence of significant causal association was obtained between RNM and high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol and triglycerides. However, a notable association emerged between severe malarial anaemia (SMA) which is a subtype of severe malaria and reduced HDL-C levels, suggesting a potential subtype-specific effect. Nonetheless, we strongly believe that the small sample size likely affects our estimates, warranting cautious interpretation of these results. Our findings challenge the hypothesis of a broad causal relationship between malaria (both severe and recurrent non-severe forms) and dyslipidemia. The isolated association with SMA highlights an intriguing area for future research. However, we believe that conducting larger studies to investigate the connection between malaria and dyslipidemia in Africa will enhance our ability to better address the burden posed by both diseases.

A bibliometric analysis of a top field journal in the economics of education

Bibliometric analysis, an approach introduced by the library and information sciences, attempts to unravel the relationships between a large number of scientific literature by using quantitative methods. Economics of Education Review was founded in 1981 to meet the needs of a growing number of research in the economics of education. The journal has evolved to become a top field journal that focuses on high quality research in an interdisciplinary field that combines educational studies and economics. It specializes in human capital production and the returns to human capital as well as in education policy and finance. We examine collaboration patterns using an approach introduced by the library and information sciences. The current research shows hidden patterns among scientific actors to offer a comprehensive understanding of the knowledge structure of this top field journal by employing network analysis such as bibliographic coupling, co-authorship and co-citation analysis. It also presents a thematic overview by analyzing author keyword co-occurrence and by classifying articles into six thematic clusters to highlight past themes and current trends in the field of economics of education. Our results suggest a shift in the focus of research, with more topics on measuring the impact of preschool programs, quality education, higher education attainment, gender, race and peer effects playing an important role in this area of scientific research.

Agronomic Suitability for Oil Palm Growing in Uganda

The ever-increasing demand for vegetable oils with its products in Uganda, calls for new areas to be put under oil palm cultivation. A study was conducted to investigate the agronomic suitability of oil palm cultivation in six areas located within a 30 km radius off-shore, on the island and more than 30 km radius off-shore on the mainland. The experiment was superimposed on 45 × 45 m plots in oil palm adaptive trial plantations established in 2008 in Bugiri, Mayuge, Buvuma, Mukono, Kibaale and Masaka districts. The experiment was laid out in a randomized complete block design with three replications. Data on number of oil palm bunches, bunch weight and yield was collected while climatic data (rainfall, temperature, relative humidity and radiation) was acquired from meteorological stations near the experimental locations. Rainfall data analyzed and dry season duration suggested that Mayuge, Masaka, Mukono, Buvuma and Kibaale were moderately favorable for oil palm growing, while temperature and radiation data indicated that all study locations were suitable for oil palm growing. Furthermore, based on relative humidity, Buvuma, Mayuge and Bugiri were suitable for oil palm cultivation but Kibaale, Masaka and Mukono were moderately suitable. Oil palm yield varied significantly (P < 0.05) across locations. The yield was much greater in Mukono (17.7 t/ha/yr) followed by Buvuma (13.8 t/ha/yr) and Kibaale (12.9 t/ha/yr) then Mayuge (10.7 t/ha/yr), Bugiri (10.2 t/ha/yr), and Masaka (10.3 t/ha/yr). The significantly high yield of oil palm observed in Mukono was attributed to the high rainfall received in this location. Based on research findings, Mukono, Masaka, Bugiri, Buvuma, Kibaale and areas within the 30 km radius of Lake Victoria are agronomically suitable for oil palm cultivation.

TMH: Two-Tower Multi-Head Attention neural network for CTR prediction.

Click-through rate (CTR) prediction is a term used to predict the probability of a user clicking on an ad or item and has become a popular research area in advertising. As the volume of Internet data increases, the labor costs of traditional feature engineering continue to rise. To reduce the dependence on feature interactions, this paper proposes a fusion model that combines explicit and implicit feature interactions, called the Two-Tower Multi-Head Attention Neural Network (TMH) approach. The model integrates multiple components such as multi-head attention, residual network, and deep neural networks into an end-to-end model that automatically obtains vector-level combinations of explicit and implicit features to predict click-through rates through higher-order explicit and implicit interactions. We evaluated the effectiveness of TMH in CTR prediction through numerous experiments using three real datasets. The results demonstrate that our proposed method not only outperforms existing prediction methods but also offers good interpretability.

Exploring the Landscape of Sentencing for Terrorist Offenders: A Scoping Review

The field of counter-terrorism studies has witnessed significant growth over the past two decades. Despite this growth, research on the sentencing of terrorist offenders remains relatively limited. This scoping review aims to comprehensively map this research area in terms of volume, nature, and characteristics, adopting a rigorous and transparent approach, resulting in the inclusion of 59 studies. After mapping these studies according to their general characteristics (specifically the historical and geographical distribution, and the adopted research methods), this review delves deeper into the specific characteristics of quantitative studies (including the timeframe of each dataset, the sample sizes, the coded variables and the statistical strategies used). A thematic analysis of the studies reveals key findings concerning legislation and its impact on terrorism trials, sentencing principles and guidelines, as well as specific factors influencing sentencing outcomes. Additionally, the review features recommendations for future research, as outlined in existing studies. The discussion section outlines the implications for policy and practice, presents recommendations for scholars, and reflects on the limitations of this review. In particular, a plea is made for more mixed methods-driven research within European countries, by establishing open-source databases based on official documentation.

A research on inversion of water quality parameters in the mulan river based on GF-1B\C\D remote sensing images

Remote sensing inversion technology can be used for water quality parameter inversion to realize water quality monitoring in large scale space. The current research on water quality parameter inversion is only for a single satellite. In order to make full use of satellite image resources, the remote sensing images of GF-1B\C\D satellite group are taken as the research object. The Mulan River is taken as the research area. The linear regression method is used to construct the regression equations of total phosphorus and ammonia nitrogen, and the inversion model of total phosphorus and ammonia nitrogen is determined according the evaluation parameters. The MSE of the total phosphorus inversion model is 0.049, and the correlation between the inversion value and the measured value is 0.701. The MSE of the ammonia nitrogen inversion model is 0.063, and the correlation between the inversion value and the measured value is 0.813. These data show that the inversion effect is good. The inversion models are applied to the GF-1D satellite remote sensing image on March 15, 2021 to obtain the large-scale spatial distribution maps of total phosphorus concentration and ammonia nitrogen concentration. The water quality classification maps of the the Mulan River in Putian urban area are obtained too, which are convenient for further analysis and evaluation of the water quality.

Normothermic machine perfusion for liver transplantation: current state and future directions.

The number of patients on the liver transplant waitlist continues to grow and far exceeds the number of livers available for transplantation. Normothermic machine perfusion (NMP) allows for ex-vivo perfusion under physiologic conditions with the potential to significantly increase organ yield and expand the donor pool. Several studies have found increased utilization of donation after cardiac death and extended criteria brain-dead donor livers with implementation of NMP, largely due to the ability to perform viability testing during machine perfusion. Recently, proposed viability criteria include lactate clearance, maintenance of perfusate pH more than 7.2, ALT less than 6000 u/l, evidence of glucose metabolism and bile production. Optimization of liver grafts during NMP is an active area of research and includes interventions for defatting steatotic livers, preventing ischemic cholangiopathy and rejection, and minimizing ischemia reperfusion injury. NMP has resulted in increased organ utilization from marginal donors with acceptable outcomes. The added flexibility of prolonged organ storage times has the potential to improve time constraints and transplant logistics. Further research to determine ideal viability criteria and investigate ways to optimize marginal and otherwise nontransplantable liver grafts during NMP is warranted.