Search Results (24)

Peer support is a widely recognized approach in higher education, improving learning efficiency, facilitating the exchange of knowledge, and helping students transition into university life through mutual help and collaboration. However, the evidence on the impact of peer support for an online study format, specifically in the context of postgraduate public health and health science students, is limited. This study evaluates a peer support program for postgraduate health students in the Social Determinants of Health subject at Western Sydney University who enrolled in Autumn 2021. Students were randomly allocated in groups of 4–5, and their experiences were evaluated using four focus groups discussions (FGDs). Inductive thematic analysis was conducted on the transcripts. The following three major themes were identified: (i) transitioning into university life and building academic support, (ii) promoting collaborative learning among peers, and (iii) engagement drivers, barriers, and suggested solutions. This study emphasizes the importance of peer support in aiding students’ transition into university, providing academic assistance, and addressing unexpected challenges such as the COVID-19 pandemic. Full article

Diabetic peripheral neuropathy (DPN) is a prevalent complication of chronic diabetes mellitus and has a significant impact on quality of life. DPN typically manifests itself as a symmetrical, length-dependent sensorimotor polyneuropathy with severe effects on gait. Surface electromyography (sEMG) is a valuable low-cost tool for assessing muscle activation patterns and precise identification of abnormalities. For the present study, we used information theory methods, such as cross-correlation (CC), normalized mutual information (NMI), conditional granger causality (CG-Causality), and transfer entropy (TE), to evaluate muscle network connectivity in three population groups: 33 controls (healthy volunteers, CT), 10 diabetic patients with a low risk of DPN (LW), and 17 moderate/high risk patients (MH). The results obtained indicated significant alterations in the intermuscular coupling mechanisms due to diabetes and DPN, with the TE group showing the best performance in detecting differences. The data revealed a significant increase in information transfer and muscle connectivity in the LW group over the CT group, while the MH group obtained significantly lower values for these metrics than the other two groups. These findings highlight the sEMG coupling metrics’ potential to reveal neuromuscular mechanisms that could aid the development of targeted rehabilitation strategies and help monitor DPN patients. Full article

The absence of a basin-wide apportionment agreement on using the Nile River equitably has been a long-standing source of disagreement among Nile riparian states. This study introduces a new approach that the riparian states can consider that quantifies the Nile River’s apportionment. The approach includes (1) developing a basin-wide database of indicators representative of the United Nations Watercourse Convention (UNWC) relevant factors and circumstances, (2) developing an ensemble of indicator weighting scenarios using various weighting methods, and (3) developing six water-sharing methods to obtain a range of apportionments for Egypt, Sudan, Ethiopia and the group of the White Nile Equatorial States for each weighting scenarios. The results illustrate a relatively narrow range of country-level water apportionments, even though some individual factor weights vary from 3% to 26%. Considering the entire Nile River, the water apportionment for Ethiopia ranges from 32% to 38%, Sudan and South Sudan from 25% to 33%, Egypt from 26% to 35%, and the Equatorial States from 5% to 7%. We trust that the six proposed equitable water-sharing methods may aid in fostering basin-wide negotiations toward a mutual agreement and address the dispute over water sharing. Full article

With the full penetration of the Internet, the Internet has had a great impact on the production and life of rural residents. The article takes a rural residents’ group as its research object to explore the impact mechanism. Leveraging data from the Chinese Family Panel Studies (CFPS) in 2016, we employ a multivariate ordered logit model as an empirical approach to delve into the various dimensions of Internet usage. By examining different facets of Internet utilization, we aim to assess the effects of these distinct uses on the well-being of rural residents. Furthermore, we investigate the mediating role of social capital in understanding the collective well-being of this demographic. The findings of this study are as follows: (1) The utilization of the Internet yields a positive impact on the well-being of rural residents. (2) Social networks exhibit a significant positive influence on the well-being of rural residents; social solidarity demonstrates a significant negative impact on the well-being of rural residents. Additionally, social trust is found to have a significant negative effect on the well-being of rural residents. (3) Regarding mobile phone access, we identify a positive and significant effect on the well-being of rural residents when mediated by social networks and social trust. In contrast, social mutual aid does not exhibit a significant mediating effect. Among the patterns of mobile phone usage, social network and social mutual aid within the realm of social capital emerge as intermediate variables that affect the well-being of rural residents through Internet usage. However, it is worth noting that social trust does not have a significant effect in this regard. These results contribute to our understanding of how Internet usage and social capital interact to shape the well-being of rural communities. Full article

Despite cancer being a leading comorbidity amongst individuals with HIV, there are limited data assessing cancer trends across different antiretroviral therapy (ART)-eras. We calculated age-standardised cancer incidence rates (IRs) from 2006–2021 in two international cohort collaborations (D:A:D and RESPOND). Poisson regression was used to assess temporal trends, adjusted for potential confounders. Amongst 64,937 individuals (31% ART-naïve at baseline) and 490,376 total person-years of follow-up (PYFU), there were 3763 incident cancers (IR 7.7/1000 PYFU [95% CI 7.4, 7.9]): 950 AIDS-defining cancers (ADCs), 2813 non-ADCs, 1677 infection-related cancers, 1372 smoking-related cancers, and 719 BMI-related cancers (groups were not mutually exclusive). Age-standardised IRs for overall cancer remained fairly constant over time (8.22/1000 PYFU [7.52, 8.97] in 2006–2007, 7.54 [6.59, 8.59] in 2020–2021). The incidence of ADCs (3.23 [2.79, 3.72], 0.99 [0.67, 1.42]) and infection-related cancers (4.83 [4.2, 5.41], 2.43 [1.90, 3.05]) decreased over time, whilst the incidence of non-ADCs (4.99 [4.44, 5.58], 6.55 [5.67, 7.53]), smoking-related cancers (2.38 [2.01, 2.79], 3.25 [2.63–3.96]), and BMI-related cancers (1.07 [0.83, 1.37], 1.88 [1.42, 2.44]) increased. Trends were similar after adjusting for demographics, comorbidities, HIV-related factors, and ART use. These results highlight the need for better prevention strategies to reduce the incidence of NADCs, smoking-, and BMI-related cancers. Full article

With a background of carbon peak and neutrality, the economic and environmental requirements are increasing for microgrids. In view of the problem of energy wastage and conflicts of interest among multiple microgrid integrated energy systems, it is important to study the operation optimization of microgrid clusters while considering the sharing and trading of both carbon emissions and green certificates. In this study, a Stackelberg game mechanism is applied, in which the microgrid operator is the leader and its subscribers are the followers, forming a master–slave interaction model. Following this, breaking the trading barriers of energy and various policy markets, the joint carbon and green certificate trading mechanism is proposed. Moreover, a mutually beneficial shared trading model of multi-microgrids considering coupled energy and carbon and green certificate trading is proposed to avoid the problem of double counting of environmental attributes. In addition, a cooperative sharing center is assumed to propose a flexible multi-resource sharing price mechanism. It guides each microgrid operator to conduct internal multi-resource sharing trading, so as to reduce the daily operating costs of energy supplying entities in the cooperative system of multiple microgrids, effectively reduce carbon emissions, and improve the balance of network group mutual aid. According to the simulation results of an illustrative example, the proposed trading strategy can effectively unlock the potential of resource sharing and mutual aid within multi-microgrids and improve the economy and carbon reduction effects of the overall system. Full article

Breast cancer is a disease that affects women in different countries around the world. The real cause of breast cancer is particularly challenging to determine, and early detection of the disease is necessary for reducing the death rate, due to the high risks associated with breast cancer. Treatment in the early period can increase the life expectancy and quality of life for women. CAD (Computer Aided Diagnostic) systems can perform the diagnosis of the benign and malignant lesions of breast cancer using technologies and tools based on image processing, helping specialist doctors to obtain a more precise point of view with fewer processes when making their diagnosis by giving a second opinion. This study presents a novel CAD system for automated breast cancer diagnosis. The proposed method consists of different stages. In the preprocessing stage, an image is segmented, and a mask of a lesion is obtained; during the next stage, the extraction of the deep learning features is performed by a CNN—specifically, DenseNet 201. Additionally, handcrafted features (Histogram of Oriented Gradients (HOG)-based, ULBP-based, perimeter area, area, eccentricity, and circularity) are obtained from an image. The designed hybrid system uses CNN architecture for extracting deep learning features, along with traditional methods which perform several handcraft features, following the medical properties of the disease with the purpose of later fusion via proposed statistical criteria. During the fusion stage, where deep learning and handcrafted features are analyzed, the genetic algorithms as well as mutual information selection algorithm, followed by several classifiers (XGBoost, AdaBoost, Multilayer perceptron (MLP)) based on stochastic measures, are applied to choose the most sensible information group among the features. In the experimental validation of two modalities of the CAD design, which performed two types of medical studies—mammography (MG) and ultrasound (US)—the databases mini-DDSM (Digital Database for Screening Mammography) and BUSI (Breast Ultrasound Images Dataset) were used. Novel CAD systems were evaluated and compared with recent state-of-the-art systems, demonstrating better performance in commonly used criteria, obtaining ACC of 97.6%, PRE of 98%, Recall of 98%, F1-Score of 98%, and IBA of 95% for the abovementioned datasets. Full article

Different renewable energy resources and energy demands between parks lead to waste of resources and frequent interactions between the regional distribution grid and the larger grid. Hence, an optimal dispatching scheme of the regional integrated energy system group (RIESG), which combines the power-to-gas (P2G) and inter-park electric energy mutual aid, is proposed in this paper to solve this problem. Firstly, for the park integrated energy system (PIES) with various structures, the coupling matrix is used to describe the input-output relationship and coupling form of multiple energy sources in the energy-hub (EH), which linearizes the complex multi-energy coupled system and is more conducive to the solution of the model. Secondly, the electrical coupling relationship of the system is improved by adding P2G to enhance the system’s ability to consume renewable energy. Moreover, the installation cost of P2G is introduced to comprehensively consider the impact of the economic efficiency on the system. Finally, to minimize the network loss of energy flow, the optimal dispatching model of RIESG with P2G conversion is constructed through the electric energy mutual aid among the parks. The simulation shows that compared with the independent operation of each park’s integrated energy system (IES), the proposed optimal dispatching strategy of RIESG achieves the mutual benefit of electric energy among park groups, reduces the dependency on the large power grid, and effectively improves the economy of system groups. In this condition, the renewable energy consumption rate reaches 99.59%, the utilization rate of P2G increases to 94.28%, and the total system cost is reduced by 34.83%. Full article

Gastrointestinal stromal tumors (GISTs) are malignant mesenchymal tumors arising from the intestinal pacemaker cells of Cajal. They compose a heterogenous group of tumors due to a variety of molecular alterations. The most common gain-of-function mutations in GISTs are either in the KIT (60–70%) or platelet-derived growth factor receptor alpha (PDGFRA) genes (10–15%), which are mutually exclusive. However, a smaller subset, lacking KIT and PDGFRA mutations, is considered wild-type GISTs and presents distinct molecular findings with the activation of different proliferative pathways, structural chromosomal and epigenetic changes, such as inactivation of the NF1 gene, mutations in the succinate dehydrogenase (SDH), BRAF, and RAS genes, and also NTRK fusions. Currently, a molecular evaluation of GISTs is imperative in many scenarios, aiding in treatment decisions from the (neo)adjuvant to the metastatic setting. Here, we review the most recent data on the molecular profile of GISTs and highlight therapeutic implications according to distinct GIST molecular subtypes. Full article

The armed conflict in Ukraine has caused a lot of emotions around the world. Many countries have been involved in helping brutally attacked people, especially mothers and children. The versatile involvement of large powers is monitored and noticeable by the media. Active help from Poland is a very visible sign of human solidarity with the suffering Ukrainian nation. Open hearts, houses and institutions and humanitarian and medical aid are elements of Polish kindness and empathy. The aim of the research was to collect Poles’ opinions about the need to provide humanitarian aid to Ukrainians from the territories of the Russian–Ukrainian war. Capturing feelings of Poles towards Ukrainians during the war is an interesting issue that shows subjective opinions about the existential situation perceived in the space of mutual personal interactions. The results showing opinions on help were collected from a group of 1012 people throughout Poland with the help of an authorial questionnaire. The obtained data shows a positive attitude of Poles to Ukrainians. The most willing to help are people over 49 years old, more often with a good and very good financial situation. Respondents believe that general assistance from other countries and the European Parliament is not sufficient. Military support is accepted the most by the oldest participants of research, and less by the age group up to 30 years who support medical help more. More concerned about the ongoing conflict are respondents under the age of 30 and the least wealthy, including, more often, women. The richest respondents are least afraid of the effects of the ongoing Russian–Ukrainian conflict. The conducted research confirms the openness of Polish society to refugees and brings opinions about existential solidarity with the suffering Ukrainian nation. Full article

A package of innovations was disseminated in urban agriculture and created real opportunities for employment, income, and the supply of vegetables of high nutritional quality. However, ten years later, farmers are working for a daily income of less than United State Dollars 1.25, and critical exceedances of heavy metal content standards in crops are recorded. Survey data collected from 202 farmers were used to identify, via the Logit model, the factors influencing the sustained adoption of the of two contrasting innovations of the package. The results of the exploratory survey of 537 farmers showed that 2.42% owned a motor pump, while the in-depth survey revealed that 25.2% of the 202 respondents were using motor pumps at the time of the survey. A total of 74.8% watered with buckets and watering cans. The high cost of the motor pump makes it inaccessible to farmers. Some tried to circumvent this constraint, which led to group purchases. Integrated soil fertility management was used by 58.4% of respondents. In total, 41.6% applied only chemical fertilizers. However, Integrated soil fertility management has been hampered by farmers’ difficulties in accessing organic matter. The results of the Logit model revealed that no socio-demographic factors were significant for sustained adoption of the motor pump. They were relevant, rather, for integrated soil fertility management, where a single factor (mutual aid) appeared to play a role, albeit a moderate one. Economic factors such as land tenure status and diversification of income sources were significant for a sustained adoption of the motor pump. In contrast, no economic factors were significant for a sustained adoption of the integrated soil fertility management. Institutional factors such as access to credit and membership in an association were significant for sustained adoption of the two of innovations studied. A series of avenues to follow to improve the productivity of farms is proposed. We suggest an in-depth study of the mutual aid practiced by 86.1% of the farmers. The results of this study can be taken into account in research and policy aimed at improving adoption of innovative techniques that are beneficial to farmers in developing countries. Full article

The COVID-19 pandemic exacerbated longstanding inequities in resources and healthcare, stacked on top of historical systems that exploit immigrants and communities of color. The range of relief, mutual aid, and advocacy responses to the pandemic highlights the role of social movement organizations in addressing the ways that immigration status creates systemic barriers to adequate health and wellbeing. This paper conceptualizes what I call, “movement pandemic adaptability,” drawing from a decolonial-inspired study including participant-observation (September 2018–September 2020), interviews (n = 31), and focus groups (n = 12) with community members and health advocates. Data collection began before the COVID-19 pandemic (September 2018–February 2019) and continued during its emergence and the initial shelter-in-place orders (March 2019–September 2020). Movement pandemic adaptability emerged as a strategy of drawing from pre-existing networks and solidarities to provide culturally relevant resources for resilience that addressed vulnerabilities created by restrictions against undocumented people and language barriers for communities that speak Spanish and a range of Indigenous languages. This paper presents how the relationship between immigration status and health is influenced by the local context, as well as the decisions of advocates, policymakers, and community members. Full article

Community engagement, such as participating in arts, nature or leisurely activities, is positively associated with psychological and physiological wellbeing. Community-based engagement during the COVID-19 pandemic facilitated informal and local mutual aid between individuals. This rapid evidence review assesses the emergence of community-based arts, nature, music, theatre and other types of cultural engagement amongst UK communities in response to the COVID-19 pandemic. Here, we focus on all community engagement with a sub-focus on provisions accessed by and targeted towards vulnerable groups. Two hundred and fifty-six resources were included that had been created between February 2020 and January 2021. Resources were identified through Google Scholar, PubMed, Web of Science, MedRXic, PsycharXiv and searches for grey literature and items in the public domain. The majority reported services that had been adapted to become online, telephone-based or delivered at a distance from doorsteps. Several quality assessment frameworks were used to evaluate the quality of data. Whilst a number of peer-reviewed, grey literature and public domain articles were identified, less than half of the identified literature met quality thresholds. The pace of the response to the pandemic may have meant that robust evaluation procedures were not always in place. Full article

While it is well-established that mutual aid groups are effective in the psychological rehabilitation of vulnerable individuals, few studies have thoroughly investigated the dynamic mechanism of how psychological well-being improves through mutual aid groups of young patients with chronic health conditions. In connection with several existing theories (i.e., the helper therapy principle, equity theory, the norm of reciprocity, and the concept of communal relationships), this study aims to: (1) evaluate whether emotional support exchanges (i.e., emotional support reception and provision) mediate the relationship between group interaction and psychological well-being; and (2) compare three potential underlying mechanisms—the mediating role of emotional support provision, equitable reciprocity (i.e., a balance of receiving and providing emotional support, where no party over-benefits or under-benefits), and sequential reciprocity (i.e., repaying the helper or a third party in the future after receiving help)—through a path analysis model. A stratified random sampling procedure with chronic health conditions as the stratifying criterion was used to recruit 391 individuals aged 12–45 years from mutual aid groups in Hong Kong, who completed both the baseline and follow-up surveys over a 12-month interval. The results of the path model revealed significant mediating roles of emotional support provision and sequential reciprocity, not equitable reciprocity. The present study offers theoretical and practical implications for promoting the psychological well-being of young patients with chronic health conditions. Full article

Invasive species are increasingly present in our ecosystems and pose a threat to the health of forest ecosystems. Practitioners are tasked with locating these invasive species and finding ways to mitigate their spread and impacts, often through costly field surveys. Meanwhile, researchers are developing remote sensing products to detect the changes in vegetation health and structure that are caused by invasive species, which could aid in early detection and monitoring efforts. Although both groups are working towards similar goals and field data are essential for validating RS products, these groups often work independently. In this paper, we, a group of researchers and practitioners, discuss the challenges to bridging the gap between researchers and practitioners and summarize the literature on this topic. We also draw from our experiences collaborating with each other to advance detection, monitoring, and management of the Hemlock Woolly Adelgid (Adelges tsugae; HWA), an invasive forest pest in the eastern U.S. We conclude by (1) highlighting the synergies and symbiotic mutualism of researcher–practitioner collaborations and (2) providing a framework for facilitating researcher–practitioner collaborations that advance fundamental science while maximizing the capacity of RS technologies in monitoring and management of complex drivers of forest health decline such as invasive species. Full article