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During the past few decades, social sciences and humanities has been involved in numerous methodological and theoretical debates that is described as the paradigms war between positivists, interpretativists and critics. In the 1970s or theoretical turn period, first constructivist interpretive and critical approaches emerged then hybrid approaches entered into this field. Critical realism is a modern approach that tries to combine paradigms and make a new definition of reality, knowledge, values, and research. This paper intends to overview the three dominant paradigms in social sciences and humanities in order to analyse methodological and theoretical innovations of critical realism.

Due to new advancements in communication technologies and globalization, pathology of communicative interactions between religious organizations is a fundamental requirement of today's society. Lack of adequate attention to this issue will bring about a weak value- norm system, religious alienation and finally promote unusual behavioral patterns in our society. The present paper is concerned with organization of mosque as one of the main headquarters in strengthening the religious behavior and its interactions with other related organizations dealing with existing challenges and problems in this field.

The LLC resonant converter is a widely used DC/DC converter that offers the benefit of enabling soft switching compared to classical DC/DC converters. However, traditional PI control strategy based on a linear model has drawbacks such as slow dynamic response and poor anti-interference performance. To overcome the shortage, a passivitybased control strategy based on the Euler–Lagrange (EL) model is proposed in this paper to improve the dynamic performance of the half-bridge LLC resonant converter. In addition, the stability of the system based on the proposed strategy is analyzed and verified. Further, the effectiveness and performance of the proposed strategy is verified in the simulation by comparing with the traditional PI controller. Finally, a prototype was built to verify the dynamic performance of the LLC resonant converter based on the proposed control strategy.

This study aims to develop a new data-driven methodology for identifying suitable influencers for a brand using data from social media. The increasing presence of such figures in these communication channels makes it challenging to select consistent and influential influencers for a specific audience. This paper introduces an innovative approach to defining these figures based on the analysis of relationships within the brand's network. Specifically, this methodology will be applied to the case study of a brand named “Anemonia”. The approach relies on the sequential application of various steps, including the use of tools such as Social Network Analysis (SNA) centrality, Sentiment Analysis (SA), and Analytical Hierarchical Process (AHP). Through the application of this methodology, the brand has been able to identify influencers consistent with its aesthetics and vision.

ABSTRACTThis paper addresses yield loss due to red deer (Cervus elaphus) grazing on permanent grasslands on three organic farms in SE Slovenia over two consecutive years. Deer graze on permanent grasslands throughout the year, but the resulting crop loss varies during the growing season. Accounting for three mowings, the quantitative yield loss due to deer grazing totalled 48–52%, or 3.9–4.3 t/ha. Deer had the highest consumption capacity in the spring (first mowing: yield loss of 1.7–1.9 t of air-dried hay/ha), and towards the end of the growing season, consumption decreased (third mowing: loss of 0.9 t/ha). A floristic inventory indicated low species diversity and production in permanent grasslands in SE Slovenia. The crude protein content in unprotected plots was generally greater than that in protected plots, but due to a large quantitative yield loss, the yield of crude protein and net energy for lactation on heavily grazed land were much lower than those on protected land in all mowings. The average additional cost per unit of heavily grazed area ranged from 182 to 344 EUR/ha, and the differences are the result of the different intensities of game grazing in individual locations and grassland production capacities.

ABSTRACTFuture wireless systems integrating communication and sensing will require handling an enormous amount of data with extremely low latency. Intense video streaming data traffic, pervasive-augmented and virtual reality services, advanced haptic–tactile interaction and holography-type communications, in fact, reveal a trend towards experience-based networks and multi-sense media, which require seamless connectivity and ultra-high capacity. Using current 5G technologies to take mentioned challenges, might not represent the desired solution and a completely new paradigm is needed. Recently, to support this change, scientists have been focusing on the concept of Smart Electromagnetic Environments (SEE), based on deploying a number of smart nodes, whose electromagnetic response needs to be finely adapted to the changing operative conditions. In this framework, a pivotal role is played by reconfigurable intelligent metasurfaces, allowing the implementation of smart skins, reflecting intelligent surfaces, smart repeaters, and intelligent antennas. This paper aims at offering an insightful review of the role of intelligent metasurfaces in advancing the concept of SEE. Different application domains will be illustrated: advanced signal processing at the physical layer, a new generation of smart antennas whose intelligence is enabled by the physical layer, and practical implementation of reflecting intelligent surfaces. With an in-depth analysis of these areas, this review sheds light on how intelligent metasurfaces drive innovation in wireless communication shaping the future of SEEs.

ABSTRACTThis paper reviews our current understanding of how fullerene molecules interact with biological membranes. First, we discuss how fullerenes permeate into biological membranes. Next, the putative mechanisms of fullerene aggregation and dispersion within lipid bilayers are discussed along with their potential toxic effect on biological membranes. Finally, current trends in the study of fullerene-membrane interactions are highlighted as well as future challenges that need to be overcome to further advance the field.

Research issues around tourism development in small town South Africa have generated a growing scholarship. With the announcement in May 2023 by the World Health Organisation of the end of the COVID-19 pandemic the paper reflects both on the pandemic experiences for tourism in South African small towns and of relevant initiatives for revival at the beginning of the post COVID-19 era. Specifically, the aim in this paper to extend the literature on tourism in small town South Africa by focusing on the context of small town recovery from COVID-19 analysing the example of the Overstrand, Africa’s first UNESCO Creative City of Gastronomy. The study shows that under certain circumstances amenity-rich small town localities can be resilient to external shocks such as the pandemic. For the resilience and recovery of small-town tourism destinations it is argued that place-based responses are critical.

Domestic tourism has garnered much attention recently as a result of the COVID-19 pandemic, being identified as a key solution to the post-pandemic recovery. The worth of domestic tourism prior to the pandemic, however, despite its tremendous economic value, has largely been overshadowed in scholarship and amongst many governments in lieu of the more glamorous international tourism. Notwithstanding, the current emphasis on domestic tourism, a gap still exists in the literature on specific sub-segments of the domestic tourist market and understanding their profiles and perceptions in order to address issues related to growing such markets and thus contributing to the overarching growth of domestic tourism and strengthening its role in the recovery of the tourism sector. This paper thus seeks to unpack the profile of 297 domestic road trip tourists surveyed from the Gauteng province of South Africa. The results outline the socio-demographic characteristics in terms of age, race, income and education levels, and their travel preferences and behaviour. Findings reveal facets linked to the importance of youth tourists, the need to address access to travel, availability of products and facilities geared to the needs of domestic tourists, the conditions of roads and the ease of travel, as well as issues related to financial access to tourism through pricing and affordability. The study provides a springboard to better understand the domestic road trip market by uncovering key socio-demographic components of this lesser studied market in the context of South Africa and provides recommendations for addressing the issues at hand.

ABSTRACTBackground Pseudomonas aeruginosa (P. aeruginosa) is widely distributed in air, soil, and water, human respiratory tract, intestinal tract, and skin. It can induce bloodstream infection, urinary tract infection, gastrointestinal tract infection, respiratory tract infection, etc. Conventional bacterial isolation, culture, and identification are time-consuming, and many false negative results, which cannot meet the needs of precise clinical diagnosis，and proper treatment. This study aims to develop a rapid isothermal amplification assay of Pseudomonas aeruginosa.Methods Specific primers were designed according to the National Center for Biotechnology Information (NCBI) database based on the highly conserved sequence of Pseudomonas aeruginosa virulence factor gene lecA, and a recombinase polymerase amplification (RPA) detection method was established. The sensitivity and specificity were calculated, as well as the collection and processing of clinical samples.Results The thermostatic amplification technique for Pseudomonas aeruginosa established in this paper allows nucleic acid detection within 10 minutes without cross-amplification with other bacterial strains. 27 P. aeruginosa infections were accurately detected in 300 clinical samples.Conclusion The rapid detection system based on thermostatic amplification had shown high sensitivity and specificity in this study, indicated that this method can effectively assist clinical bacterial detection.

ABSTRACTUrban footpaths are the main outdoor activity spaces for pedestrians. It is traditionally believed that the air temperature of a pedestrian walkway under tree shade is lower. However, from the perspective of vertical air temperature profiles, there is little difference in air temperatures between a shaded pedestrian walkway and one under unshaded sunlight. This paper adopts a human-centred approach to investigate the three-dimensional spatial distribution of air temperatures in a pedestrian walkway in Taipei City under tree shade. It analyzes the air temperature reduction caused by attenuation of ground reflected long-wave radiation due to shade, and the effect of shade on environmental ventilation. It was found that air temperatures varied along pedestrian walkway height and direction. The measured data shows that the main difference in air temperature between shaded areas and areas exposed to sunlight is in the 0–0.5 m height range, and there is little difference in air temperature between the 0.5 m-2 m height range.Higher shades led to poorer ventilation and were more likely to cause local overheating. This suggests the need to assess urban pedestrian thermal comfort from a three-dimensional perspective, considering not just planar shades but also vertical shading and ventilation.

ABSTRACTIn large-scale debris flow susceptibility assessments, there is often excessive manual intervention, low efficiency, and inadequate model accuracy. To address these issues, this paper integrates multiple data sources and proposes a Multi-channel and Multi-scale Residual Network (MMRNet) for automatic extraction of gully features. Firstly, MMRNet employs a multi-scale feature fusion module to capture both local and global features of gullies, enhancing the model’s feature representation capabilities. It then uses an improved residual structure to fuse shallow features, compress features, and improve assessment efficiency. Additionally, channel rearrangement techniques are used to enhance feature flow. Finally, susceptibility prediction is made based on the similarity between the gully under evaluation and gullies where debris flows have occurred. The natural breakpoint method is used to classify susceptibility results into five levels. Experimental results show that the very high susceptibility zones for debris flows are mainly concentrated in areas with abundant river systems along the Nujiang River, covering 61.68% of the entire study area, with a debris flow proportion of 98.78%. The MMRNet model achieves an accuracy (ACC) of 81.6% and an area under the curve (AUC) of 0.8320, indicating that this model is a high-performance method for debris flow susceptibility assessment.

ABSTRACTAmidst the rapid urbanisation, the ecological environment of plateau lake basins faces significant challenges. To better coordinate the relationship between urbanisation development and ecological environment construction, this paper conducts an analysis and assessment of the ecological resilience and urbanisation coupling coordination in Dali Prefecture based on socio-geographical spatial data. Initially, an assessment model for ecological resilience is established using resilience theory. Subsequently, the urbanisation development level is evaluated based on panel data. Finally, a coupling coordination model is employed to calculate the coupling coordination between the two aspects. The results indicate: (1) a rapid increase in basin urbanisation from 2010 to 2019, particularly between 2010 and 2015; (2) a continuous expansion of low-value ecological resilience areas across the entire basin, with a predominance of townships experiencing fluctuating decreases or stagnation, leading to an overall negative trend in ecological resilience indices; (3) evident spatial and temporal disparities in coupling coordination between the two systems in the basin’s villages and towns, primarily reflected in differences in coupling coordination types, with a few towns consistently exhibiting environmental lag. This study introduces a customised ecological resilience model for the Erhai Basin, enhancing comprehension of urbanisation-ecological resilience dynamics in plateau lake basins.

ABSTRACTC-terminal binding protein 1 (CtBP1) is a critical transcriptional corepressor of many tumor suppressor genes and plays diverse roles in the progression of cancers. The transcriptional repression function of CtBP1 is mediated by recruiting histone-modifying enzymes, such as histone deacetylases and histone methyltransferases, to target genes by binding with DNA-interacting factors. Several post-translational modifications of CtBP1 have been identified, including ubiquitination, phosphorylation, and SUMOylation. This paper reports that CtBP1 is conjugated by ISG15. Endogenous CtBP1 was modified by ISG15 after interferon-α treatment in HeLa cells. The ISGylation process of CtBP1 was regulated by deISGylation enzyme USP18 and ISG15 E3 ligase EFP. Interestingly, CtBP1 ISGylation affected the binding affinity between CtBP1 and some components of CtBP1-associated transcriptional complexes. HDAC1 and LSD1 bound more efficiently to ISG15-conjugated CtBP1 than non-conjugated CtBP1. On the other hand, binding between CtBP1 and HDAC4 was unaffected by ISG15 modification. Furthermore, ISG15 modification enhanced the transcriptional repression activity of CtBP1 on several target genes related to EMT and apoptosis. These findings suggest that the ISG15 modification of CtBP1 modulates the function and activity of CtBP1 and that CtBP1 ISGylation may provide a new insight for CtBP1-mediated cancers.

AbstractBackground Six Homo naledi early juveniles were recovered from U.W. 101 (Dinaledi Chamber), U.W. 102 (Lesedi Chamber), and U.W. 110 in the Rising Star cave system.Aim This paper develops the information for the H. naledi early juvenile life stage, as defined by a combination of deciduous and permanent dentition, and the eruption of the first permanent molar.Subjects and methods The growing number of young individuals recovered from the Rising Star cave system allows us to gain a better understanding of their variation, or lack thereof, and provides a basis to estimate broad ranges for age at death of the individuals. The individuals are identified and described through craniodental remains and spatial associations.Results and conclusion Our results show that the teeth are remarkably consistent across the localities in their metric and non-metric traits, and our analyses refine previous estimations on dental eruptions with the first permanent molar erupting first in the sequence among permanent teeth.

AbstractThe World Wide Web and the advancement of computer technology in the 1960s and 1990s respectively set the ground for a substantial and simultaneous change in many facets of our life, including medicine, health care, and medical education. The traditional didactic approach has shifted towards more dynamic and interactive methods, leveraging technologies such as simulation tools, virtual reality, and online platforms. At the forefront is the remarkable evolution that has revolutionized how medical knowledge is accessed, disseminated, and integrated into pedagogical practices. The COVID-19 pandemic also led to rapid and large-scale adoption of e-learning and digital resources in medical education because of widespread lockdowns, social distancing measures, and the closure of medical schools and healthcare training programs. This review paper examines the evolution of medical education from the Flexnerian era to the modern digital age, closely examining the influence of the evolving WWW and its shift from Education 1.0 to Education 4.0. This evolution has been further accentuated by the transition from the static landscapes of Web 2D to the immersive realms of Web 3D, especially considering the growing notion of the metaverse. The application of the metaverse is an interconnected, virtual shared space that includes virtual reality (VR), augmented reality (AR), and mixed reality (MR) to create a fertile ground for simulation-based training, collaborative learning, and experiential skill acquisition for competency development. This review includes the multifaceted applications of the metaverse in medical education, outlining both its benefits and challenges. Through insightful case studies and examples, it highlights the innovative potential of the metaverse as a platform for immersive learning experiences. Moreover, the review addresses the role of emerging technologies in shaping the post-pandemic future of medical education, ultimately culminating in a series of recommendations tailored for medical institutions aiming to successfully capitalize on revolutionary changes.

In the case of a physical education and sport teacher, the way in which he or she orients his or her mindset can contribute significantly to communicating and working effectively with students and can positively influence the outcomes of the educational process. The aim of this paper is to conduct a comparative analysis of students’ performance on the Y-Balance test, evaluating and comparing their results to identify and understand differences and similarities in functional ability and balance. The objectives of the study: to identify and analyze student balance levels between the experimental group (who played weekly basketball) and the control group (who followed the regular school curriculum); to analyze differences in performance on the Y Balance test between the two groups of students to determine if playing weekly basketball had a significant impact on balance compared to the control group; To differentiate the results of the Y Balance test in the group that practiced basketball during the experimental period (September – December 2023) and the control group that followed the standard school curriculum, in order to highlight possible changes in balance; To analyze and interpret the balance results obtained, providing an understanding of how regular basketball practice can influence students’ balance.

ABSTRACTSoftware Effort Estimation (SEE) is a foremost concern of software companies in order to successfully develop and deliver software products within a defined budget and time. Many software companies fail to deliver the product on time, either due to problems of over-estimation or under-estimation. In order to aid the decision-making process of the analyst and experts, the paper proposed a multi-step dynamic ensemble selection (MS-DES) approach. The DES works in two steps; I) in order to select the suitable models from the pool of models, which are anticipated to perform best when generating a prediction. II) to predict the labeled discretized effort more accurately. The paper utilized four software effort datasets discretized into labeled effort ranges. The performance of the proposed model is evaluated based on the K nearest neighbor oracle (KNORA) canonical approach to DES and in order to reduce the complexity, filter feature selection techniques are applied to extract the relevant feature set. The proposed feature selection-based MS-DES model outplayed the individual models in predicting labeled effort in terms of confusion metrics parameters with an accuracy of more than 90% with all datasets and the results are validated using the ROC curve.

ABSTRACTThis paper presents a model and heuristic solution algorithms for the Green Vehicle Routing Problem with Flexible Time Windows. A scenario of new vehicle routing is analyzed in which customers are asked to provide alternative time windows to offer flexibility to help route planners find more fuel-efficient routes (“green delivery”). Customers can rank their preferred time windows as first, second, and third. The optimization model aims to reduce tour costs, promote electromobility over fossil fuels, such as diesel, and meet customer preferences when possible and affordable. The study incorporates a multi-objective optimization model with three objectives, which are overall cost, use of fossil fuel, and customer satisfaction. For the new problem, a set of realistic benchmark problems is created and four mainstream solvers are applied for the Pareto front approximation: NSGA-II, NSGA-III, MOEA/D, and SMS-EMOA. These algorithms are compared in terms of their effectiveness in achieving the objectives of minimizing travel costs, promoting electromobility, and meeting customer preferences. The study uses five different problems of single-vehicle route planning. Two major findings are that the selection of the metaheuristic can make a big difference in terms of algorithm performance. The resulting 3-D Pareto fronts reveal the nature of this new class of problems: Interestingly, in the new model with flexible time windows, most users can still be delivered in their most preferred time windows with only small concessions to the other objectives. However, using only one time window per user can lead to an increasingly drastic cost and fossil fuel consumption.

ABSTRACTImbalanced classification problems are of great significance in life, and there have been many methods to deal with them, e.g. eXtreme Gradient Boosting (XGBoost), Logistic Regression (LR), Decision Trees (DT), and Support Vector Machine (SVM). Recently, a novel Generalization-Memorization Machine (GMM) was proposed to maintain good generalization ability with zero empirical for binary classification. This paper proposes a Weighted Generalization Memorization Machine (WGMM) for imbalanced classification. By improving the memory cost function and memory influence function of GMM, our WGMM also maintains zero empirical risk with well generalization ability for imbalanced classification learning. The new adaptive memory influence function in our WGMM achieves that samples are described individually and not affected by other training samples from different category. We conduct experiments on 31 datasets and compare the WGMM with some other classification methods. The results exhibit the effectiveness of the WGMM.