bluuebunny/crossref_metadata_2025 huggingface dataset:
Exercise Modalities for Improving Frontal Plane Knee and Foot Posture in Healthy Adults: A Systematic Review
Authors: Cömert Gülsüm Mandir , Gruber Markus
Published: February 2025

Lower extremity misalignments increase the risk of chronic overload and acute injuries during sports and daily activities. Medial positioning of the knee and foot in the frontal plane is one of the key biomechanical risk factors associated with lower extremity injuries and pain. Different exercise interventions have been implemented to counteract misalignments. However, most studies have been conducted on clinical populations. Therefore, in this review, we aimed to assess the preventive effects of exercise interventions on frontal plane knee and foot posture in healthy individuals. Electronic databases (PubMed, Web of Science, PEDro) were systematically searched for original articles published between 2008 and 2024. This review included clinical trials on healthy adults (18–45 years) with or without lower extremity biomechanical misalignments, examining the effects of exercise interventions alone on knee and foot frontal plane biomechanics. Eligible studies reported at least one relevant frontal plane foot and knee biomechanical measure, such as knee valgus/abduction, medial knee displacement, foot pronation/eversion, or navicular drop. Studies involving non-exercise interventions, single-session protocols, and participants with neurological or spinal disorders, pain, or injury were excluded. A total of 35 articles with 1095 participants were included in this review. A total of 20 studies included individuals without a biomechanical misalignment, and 15 studies focused on individuals with a biomechanical misalignment. Mean values, standard deviations, and p-values were extracted from the included studies. Effect sizes and confidence intervals were then calculated to provide a quantitative presentation of the data. In conclusion, in healthy individuals without biomechanical misalignment, technique training and core muscles strengthening were most effective for improving knee valgus. Hip, core, and foot muscle strengthening reduced foot pronation in those with pronated feet, while short foot exercises improved foot positioning in individuals with flat feet. Combining lower extremity strengthening with knee position control training may reduce knee valgus in individuals with increased knee valgus.
From Volcanic Popcorn to the Material of the Future: A Critical Review of Expanded Perlite Applications and Environmental Impacts
Authors: Dzięcioł Justyna , Szlachetka Olga , Rodrigues Tavares Jorge Manuel
Published: February 2025

The comprehensive review delves into the diverse applications of expanded perlite, highlighting the need for sustainable solutions in the face of changing market demands. The analysis of the environmental impact of traditional materials reveals critical issues, including increased energy consumption, resource depletion, and increasing waste generation. The search for safe materials with reduced environmental impact and renewable properties is proving critical to supporting a sustainable future. The analysis not only points out the economic benefits and widespread use of materials containing expanded perlite in various industries but also presents current trends in the use of this material, supporting options for environmentally friendly solutions. This study also examines the idea of Life Cycle Assessment (LCA), the application of which for expanded perlite provides valuable insight into the production, transportation, and potential recycling of this material. Furthermore, the paper identifies the most promising solutions and identifies areas where further research is needed, providing insight into the current state of affairs and future challenges associated with the use of this material.
Vegetation Carbon Source/Sink Dynamics and Extreme Climate Response in the Yangtze River Delta Coastal Zone
Authors: Han Yuhang , Han Zhen
Published: February 2025

Coastal zones, as transition areas for sea/land interaction, have substantial carbon sequestration potential while also being particularly vulnerable to extreme climate. Consequently, it has become essential to evaluate the vegetation carbon sinks in coastal zone areas under extreme climate conditions. In this study, we evaluated the vegetation net ecosystem productivity (NEP) in typical regions within the Yangtze River Delta coastal zone from 2000 to 2020. We studied the regional and chronological properties of NEP and its response to extreme climate. The results revealed the following: (1) Vegetation NEP demonstrated a fluctuating rising trend over the past 21 years, with an interannual change rate of 1.96 gC·m−2·a−1, and the 21-year average was 249.22 gC·m−2·a−1. Spatially, the southern part of the region had a higher NEP than the northern part, and the northern part had a higher NEP than the central part. (2) The overall area showed characteristics of a vegetation carbon sink, with carbon sink areas accounting for 82.41%. Among the ecosystems, forest ecosystems exhibited the strongest carbon sink capacity, followed by cropland ecosystems, while wetland ecosystems, urban ecosystems, and grassland ecosystems had relatively weaker carbon sink capacities. (3) The overall spatial change trend showed an upward trend, consistent with the temporal trend. There is also a high risk of vegetation NEP degradation in the future. (4) The NEP’s response to extreme temperature was more pronounced. The largest explanatory power was observed with SU25 and TMAX during single-factor analysis. The strongest explanatory power in the interaction analysis was found in the following three factor groups: R99p∩TMAX, SU25∩TNx, and TXx∩LST. The results highlight a complex synergistic interplay among these influences on NEP. The findings offer a scientific basis for ecological protection and the attainment of dual-carbon goals in the coastal zone of the Yangtze River Delta.
Channel Selection and Sustainable Low Carbon Strategies with Cap-and-Trade Regulations
Authors: Huang Qiaoyan , Wei Feng
Published: February 2025

Environmental protection and low-carbon life are the focus of global attention. This paper adopts Stackelberg’s game method to discuss channel selection. Two decision models are involved: (1) model P represents dual-channel structure of the manufacturer, and (2) model O represents dual-channel structure of the retailer. We examined the optimal pricing strategy, and profit distribution among stakeholders. This research showed that, compared to model O, model D always sells more products, and model D has a higher (manufacturer)/lower (retailer) profits than model O. The retailer’s offline price exhibits a linear decline. At the point of intersection (0.28, 45.5), the price in both models converge to an identical value. From an environmental perspective, model D is more environmentally friendly than model O when unit carbon price is small. Furthermore, the emission reduction rate is higher if consumers’ online preference coefficient is not high in model D. Through the lens of social welfare, the sales strategies employed in model O yield higher social welfare benefits compared to those in model D. For the entire supply chain, model O is the optimal choice if they focus on environmental performance and social welfare. The research provides application guidance for the sustainable development of enterprises.
Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China
Authors: Li Lan , Zhao Yilu , Li Xuan , Ni Wankui , Niu Fujun
Published: February 2025

In the context of global warming, landscapes with ice-rich permafrost, such as the Qinghai–Tibet Plateau (QTP), are highly vulnerable. The expansion of thermokarst lakes erodes the surrounding land, leading to collapses of various scales and posing a threat to nearby infrastructure and the environment. Assessing the susceptibility of thermokarst lakes in remote, data-scarce areas remains a challenging task. In this study, Landsat imagery and human–computer interaction were employed to improve the accuracy of thermokarst lake classification. The study also identified the key factors influencing the occurrence of thermokarst lakes, including the lake density, soil moisture (SM), slope, vegetation, snow cover, ground temperature, precipitation, and permafrost stability (PS). The results indicate that the most susceptible areas cover 19.02% of the QTP’s permafrost region, primarily located in southwestern Qinghai, northeastern Tibet, and the Hoh Xil region. This study provides a framework for mapping the spatial distribution of thermokarst lakes and contributes to understanding the impact of climate change on the QTP.
Insights into Beneficial Effects of an Agroforestry System on Soil Properties and Crop Yields: A Case Study from the Experimental Farm at University of Copenhagen, Denmark
Authors: Chaudhary Vaibhav Pradip , Ghaley Bhim Bahadur
Published: February 2025

Agroforestry systems are sustainable farming practices with multiple benefits like enhanced biodiversity, soil nutrient cycling, soil physical properties, and carbon sequestration. Investigating these multiple beneficial effects of agroforestry systems compared to monoculture cropping systems under diverse pedo-climatic zones and crop-tree combinations is required to gather robust field evidence for agroforestry performance. Hence, the objective was to investigate the beneficial effects of agroforestry systems on soil properties and crop yields in a combined food and energy production (CFE) agroforestry system compared to the conventional winter wheat (CWW) production system in Denmark. The field methods consisted of soil and crop cut sampling, soil moisture measurement, earthworm abundance count in CFE compared to the CWW fields, and climate data for 2023. The study demonstrated that an agroforestry system viz CFEmean and natural forest (NF) had a lower bulk density viz. 1.48 and 1.01 g cm−3, respectively compared to CWW (1.74 g cm−3) with intensive use of fertilizers and chemicals. CFEmean and NF had higher soil organic matter, total nitrogen %, available potassium (K), potentially mineralizable nitrogen, soil moisture retention, and earthworm count under drought conditions compared to CWW. The study demonstrated that alley cropped winter wheat (CFE WW) recorded similar grain yields and significantly higher straw and aboveground biomass accumulation compared to CWW with intensive use of chemical and fertilizer inputs. The biomass belt (BB) effects on alley crop yield varied with the distance with negative effects on grain, straw, and aboveground biomass yields in CFE WW at the nearest points from the BB, and yields increased gradually in the alley fields further away from the BB with maximum grain yields at 62.83 m away from the BB. The study provided a robust field evidence on the beneficial effects of agroforestry on soil properties and crop and biomass yields compared to CWW for informed decision-making by land managers for the adoption of agroforestry practice.
Children Wearing Bicycle Helmets Influenced by Their Parents’ Safety Perception as Adults and Children
Authors: Baghdadi Leena R. , Alotaibi Razan A. , Aldoukhi Layan A. , Alqahtani Wafa M. , Alharbi Roaa A. , Alyami Alhnouf H.
Published: February 2025

Purpose: Cycling is a popular activity for children aged 5–14 years and has a notable risk of head injuries. Extensive evidence shows that bicycle helmets can reduce the severity of head injuries and prevent fatalities. The current study examines the prevalence of bicycle helmet use among children (aged 5–17 years) in Saudi Arabia, parents’ attitudes and safety perceptions toward children’s bicycle helmets, and factors that influence parents’ decisions regarding their children’s bicycle helmets. Methods: This study used an analytical cross-sectional design via a validated questionnaire to examine parents’ attitudes toward helmet use for their children (aged 5–17 years) in Saudi Arabia. The study, which was carried out from September 2023 to September 2024, involved 492 participants (69.5% mothers and 30.5% fathers), and they were recruited from all regions of Saudi Arabia. A validated and translated questionnaire was used to assess helmet usage attitudes, considering demographic factors and potential confounders. Results: Approximately 60% of children wear helmets while cycling, despite a high mean attitude score of 5.49 (SD = 0.91), with 93.3% of respondents expressing strong support for mandatory helmet laws. While belief (mean (M) = 5.45) and knowledge (M = 4.63) scores were also high, they did not correlate with actual helmet use. Strong helmet regulations significantly increased usage rates (>80%). Helmet ownership and parental helmet-wearing habits were associated with higher usage among children, with mothers showing greater usage rates for younger children than fathers. Regression analyses indicated that parents who wore helmets as children were 5.85 times more likely to have their children wear helmets and parents who wore helmets themselves were 7.98 times more likely to ensure that their oldest child did so. Conclusions: While parents have positive attitudes toward helmet safety, actual helmet usage among children measures at approximately 60%. Sustainable helmet regulations and parental modeling, especially for parents who wear helmets, are crucial for improving safety.
Trajectory Forecasting for Human Mobility Considering Movement Patterns and the Heterogeneous Effects of Geographical Environments via Potential Fields
Authors: Chen Kaiqi , Zhou Pingting , Liu Jingyi , Deng Min , Guo Qi , Yao Chen , Chen Jinyong , Pei Xinyu
Published: February 2025

Trajectory forecasting for human mobility plays a critical role in the effective management and sustainable development of urban transportation, which aligns with the advocacy of Sustainable Development Goals (SDGs). Although several approaches have been developed in other trajectory forecasting applications, such as autonomous driving and intelligent robotics, there remain limitations in forecasting trajectories of human mobility. This is because they do not adequately consider the prior knowledge of human movement patterns and the heterogeneous effects of geographical environments. Therefore, in this study, we propose an environment-driven trajectory forecasting method that can adapt to distinct movement patterns. First, the indicator systems, which systematically summarize the heterogeneous effects of different environmental factors on human mobility, are, respectively, constructed for the convergence, divergence, and leadership patterns. Then, based on the corresponding indicator system, the potential field is generated, representing the calibrated probability of the human mobility direction under the environmental effects. A gradient descent algorithm is finally employed on the potential field to forecast the next-step mobility location. Extensive experiment results demonstrated the satisfactory performance of our proposed method under different movement patterns. Compared to other baselines, our proposed method also shows advantages in both long-term and real-time forecasting.
Wine Tourism as a Tool for Sustainable Development of the Cultural Landscape—A Case Study of Douro Wine Region in Portugal
Authors: Jezierska-Thöle Aleksandra , Gonia Alicja , Podgórski Zbigniew , Gwiaździńska-Goraj Marta
Published: February 2025

Wine tourism plays an important role in the development of the local economy but also in the promotion of Portuguese wines in Europe and the world. Enotourism is also a tool to achieve sustainable development through the promotion of wine producers and the preservation of the cultural landscape. At the same time, it can increase the living standards of the population, generating jobs and additional income. The main objective of the study was to present the level of development of wine tourism and to identify the benefits associated with its development in accordance with the concept of sustainable development. The study used qualitative and quantitative research. A spatial analysis of the determinants of demographic development and wine production based on diagnostic indicators was carried out using the Charvat and Schneider indexes. A correlation relationship was identified between the following diagnostic characteristics: wine production and wine tourism development, on the one hand, and tourism development and demography. The study identified problem areas, e.g., demographic regression and economic progression (based on wine production), and identified the relationship between wine production and wine tourism development and demographic development. The study area was the traditional European wine region of Douro wine region in Portugal. The UNESCO cultural landscape has been shaped by human activities over the centuries. An original research procedure was developed to diagnose the state of the LAUs and determine the impact of wine tourism on their development. The results of the research indicate that wine tourism is an example of tourism on the UNESCO trail, where production and consumption take place for the benefit of both tourists and entrepreneurs. Enotourism is also seen as an important source of income and an enabler of socio-economic development.
A Flexible Unit Distribution Based on a Half-Logistic Map with Applications in Stochastic Data Modeling
Authors: Stojanović Vladica S. , Bakouch Hassan S. , Alomair Gadir , Daghestani Amira F. , Grujčić Željko
Published: February 2025

In this manuscript, a new two-parameter stochastic distribution is proposed and obtained by a continuous half-logistic transformation of the quasi-Lindley (QL) distribution to the unit interval. The resulting distribution, named the quasi-Lindley half-logistic unit (QHU) distribution, is examined in terms of its key stochastic properties, such as asymmetry conditions, shape and modality, moments, etc. In addition, the stochastic dominance of the proposed distribution with respect to its parameters is considered, and it is shown that the QHU distribution, in contrast to the QL distribution that is always positively asymmetric, can have both asymmetric forms. The parameters of the QHU distribution are estimated by the maximum likelihood (ML) method, and the asymptotic properties of thusly obtained estimators are examined. Finally, an application of the proposed distribution in modeling some real-world phenomena is also presented.
Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures
Authors: Zippo Valerio , Robotti Elisa , Maestri Daniele , Fossati Pietro , Valenza David , Maggi Stefano , Papallo Gennaro , Belay Masho Hilawie , Cerruti Simone , Porcu Giorgio , Marengo Emilio
Published: February 2025

This study is focused on the implementation of statistical learning methods for the prediction of the mechanical properties of steel products from the chemical profile of the raw material and the process parameters. The integration of this model into the production process allows a large-scale steel industry to predict steel properties with heightened accuracy, optimizing the manufacturing process for minimal waste and improved consistency. A workflow for process data analysis has been developed, based on the use of machine learning algorithms to build an interface for data treatment to be directly used online. The proposed approach has a comprehensive connotation, starting from data pre-treatment and cleaning, to model building and prediction. Different machine learning algorithms are compared (Polynomial Regression, LASSO, Random Forests and Gradient Boosting, ANN, SVM, and k-NN), to provide the best predictive ability, also exploiting human reinforcement. The results proved to be very promising for all the types of steel investigated, with very good RMSE and R2 values both in fitting and in prediction. The application here presented is being integrated into Total Quality Tutor (TQT) software, developed in-house in C# language, for predicting the mechanical properties of steel.
Proinflammatory Biomarkers and Clinical Factors Associated with Long-Term Mortality in People with HIV
Authors: Lembas Agnieszka , Załęski Andrzej , Mikuła Tomasz , Kozłowska Joanna , Wiercińska-Drapało Alicja
Published: February 2025

People with HIV (PWH) receiving antiretroviral therapy (ART), despite a similar life expectancy, have a higher incidence of comorbidities than the general population. This study assessed the influence of proinflammatory biomarkers and clinical factors on mortality of PWH. We included PWH hospitalized from 2009 to 2014 who continued ART until 2023. The baseline lipid profile, CD4+ cell count, platelets, CRP, PCT, TNF-α, VCAM-1, and HCV and HBV coinfection were evaluated. Multivariable logistic regression was used to evaluate factors associated with mortality. Among 72 PWH, 19 were lost to a follow-up and 13 died before 2023. The mean follow-up was 12.07 years, while the mean time to death was 4.32 years. The main causes of death were cancer (n = 7) and drug-related death (n = 4). In the multivariate analysis, HCV coinfection, CRP ≥ 5 mg/L, PCT ≥ 0.05 ng/mL, and VCAM-1 ≥ 922 ng/mL were associated with higher odds of death. Although people who died had lower total cholesterol and triglyceride concentrations, these parameters were not associated with mortality. Determining HCV coinfections and CRP, PCT, and VCAM-1 levels may help identify PWH at increased risk of death for intensified monitoring. Care should also be taken of PWH with normal lipid parameters.
Effect of Pretreatments on the Distribution and Removal of Triclosan in Waste-Activated Sludge
Authors: Ding Hao-Yang , Wang Si-Yu , Sangeetha Thangavel , Cui Min-Hua
Published: February 2025

Triclosan (TCS) is extensively detected in wastewater and waste-activated sludge (WAS). The occurrence and fate of TCS in anaerobic digestion have been well revealed, but the change in TCS during WAS pretreatment needs to be clarified. Thermal hydrolysis pretreatment has been proven to be efficient for both WAS hydrolysis and TCS removal, with a removal efficiency of 54.0% and a retention time of 90 min at 170 °C. Alkaline pretreatment remarkably changed the TCS distribution between the sludge and liquid, and the solid–liquid distribution coefficient decreased by three orders of magnitude as the pH increased to 13. Neither alkaline pretreatment nor thermal–alkaline pretreatment resulted in the obvious removal of TCS. UP demonstrated limited efficiency in the hydrolysis of WAS, as well as the migration and removal of TCS. Thus, this study demonstrated that pretreatment methods and operational parameters significantly influence the migration and removal of TCS. It also provides a valuable reference for future studies on the migration and degradation behavior of TCS during anaerobic digestion and lays a foundation for the development of WAS treatment engineering capable of efficiently removing TCS.
Indicators of Climate-Driven Change in Long-Term Zooplankton Composition: Insights from Lake Maggiore (Italy)
Authors: Caroni Rossana , Piscia Roberta , Manca Marina
Published: February 2025

Freshwater zooplankton are a key component of lake food webs and a responsive indicator of changes occurring in an ecosystem’s structure and functioning. A new challenge under climate change is to disentangle the effects of lake warming from changes in lake trophic conditions, and ultimately to relate them to changes in zooplankton and ecosystem functioning. In this study, we examined the zooplankton community of the large deep subalpine Lake Maggiore (Italy) over a period of four decades, spanning changes in both lake trophic conditions and climate warming. Using monthly data from the upper 50 m of water depth, we analyzed long-term trends and investigated the application of zooplankton biomass-based indices in order to provide a better understanding of the changes in the lake ecosystem over time. Examining annual and seasonal patterns of different zooplankton taxa and groups, we observed over time a decreased contribution of Daphnia sp. during the summer and a concurrent increase in microzooplankton, suggesting a change in phytoplankton control in the lake during the recent period. Our study demonstrates that zooplankton communities integrate environmental changes, and underlines the importance of long-term monitoring and the inclusion of seasonality and the entire size range of zooplankton as key components to allow the interpretation of lake ecosystem functioning in response to trophic and climatic changes.
Review of State-of-Charge Estimation Methods for Electric Vehicle Applications
Authors: Pisani Orta Miguel Antonio , García Elvira David , Valderrama Blaví Hugo
Published: February 2025

Continuous and accurate state-of-charge estimation is essential for optimal reliability and performance in electric vehicle battery management systems. This work reviews state-of-charge estimation strategies, from straightforward methods like lookup tables and ampere-hour counting to advanced mathematical models, such as electrochemical, observer-assisted equivalent circuit, and impedance-based models that capture cell dynamics. Additionally, data-driven models including fuzzy logic, neural networks, and support vector machines are explored for their ability to leverage large datasets. This review highlights the strengths and limitations of each method, emphasizing the specific contexts in which these strategies can be applied to achieve optimal effectiveness.
Quantifying the Uncertainty of Electric Vehicle Charging with Probabilistic Load Forecasting
Authors: Amara-Ouali Yvenn , Hamrouche Bachir , Principato Guillaume , Goude Yannig
Published: February 2025

The transition to electric vehicles (EVs) presents challenges and opportunities for the management of electrical networks. This paper focuses on developing and evaluating probabilistic forecasting algorithms to understand and predict EV charging behaviours, crucial for optimising grid operations and ensuring a balance between electricity demand and generation. Several forecasting approaches tailored to different time horizons are proposed across diverse model classes, including direct, bottom-up, and adaptive approaches. In all approaches, the target variable can be the load curve quantiles from 0.1 to 0.9 with 0.1 increments or prediction sets with a target coverage of 80%. Direct approaches learn from past load curves using GAMLSS or QGAM methods. Bottom-up approaches predict individual charging session characteristics (arrival time, charging duration, and energy demand) with mixture models before reconstructing the load curve. Adaptive approaches correct in real-time the prediction sets issued by direct or bottom-up approaches with conformal predictions. The experiments, conducted on real-world charging session data from Palo Alto, demonstrate the effectiveness of the proposed methods with regard to different metrics, including pinball loss, empirical coverage, and RPS. Overall, the results highlight the importance of quantifying uncertainty in load forecasts and the potential of probabilistic forecasting for EV load management.
Curriculum critique – Rural Research Capacity Building Program
Authors: Schmidt David , Duncanson Kerith
Published: February 2025

Purpose: This paper provides a critique of the curriculum of the Rural Research Capacity Building Program, a novice researcher training program conducted by New South Wales Health in Australia.
Approach: Using a framework approach, aspects of the curriculum are explored with reference to existing literature and 10 years of program coordinator experience implementing the curriculum.
Findings: This critique has found that the curriculum provides structure and flexibility for teaching and learning practices. A competency-based framework provides clarity for learners in knowing when program requirements have been met. By encouraging learners to compile a portfolio of evidence, achievement of competency can be demonstrated against all aspects of the curriculum. As the program targets motivated self-directed learners, the ability to tailor learning experiences within the curriculum is a critical component.
Research implications: This critique provides a foundation for further research exploring specific aspects of curriculum delivery.
Practical implications: Formal critique of curriculum allows for ongoing refinement of teaching practices.
Originality/value: Formal curricula of workplace-based training programs are rarely explored in the literature. Critiques of curricula provide an important tool to examine teaching methods and program outcomes.
Limitations: The Rural Research Capacity Building Program is a single program, which may limit the generalisability of these findings.
Keywords: curriculum, adult learning, research education
Discussions about physical activity in general practice: analysis of video-recorded consultations
Authors: Grice Adam , Izon Amy S , Khan Nada F , Foy Robbie , Beeken Rebecca J , Richards Suzanne H
Published: February 2025

Background

Clinical guidance recommends promoting physical activity during general practice consultations. The frequency and content of physical activity discussions in UK general practice are poorly understood.

Aim

To explore the content of physical activity discussions during routine consultations between patients and GPs.

Design and setting

Secondary analysis was undertaken of video-recorded UK general practice consultations from the One in a Million study, which was conducted in the West of England.

Method

In total, 294 consultation transcripts were available; these were screened to identify consultations that included or omitted physical activity advice when recommended by National Institute for Health and Care Excellence guidance. The content, quality, and depth of advice provided by GPs were scored to ascertain how meaningful the advice was.

Results

Physical activity was relevant to management according to clinical guidance in 175/294 (59.5%) consultations. In 64 (36.6%) of these consultations, physical activity was discussed as part of clinical management; the depth of discussion was judged as ‘meaningful’ in 22 (12.6%) consultations. Although physical activity advice tended to be given most often for musculoskeletal problems, depth of advice did not appear to be related to the presenting problem. When physical activity advice was relevant and omitted, consultations prioritised another overriding presenting problem, or clinical management focused on another intervention.

Conclusion

Physical activity advice, following national guidance, was potentially relevant to more than half of GP consultations; GPs delivered advice of varying depth in a third of these consultations. Future work should explore ways of delivering physical activity advice effectively, efficiently, and equitably within the constraints of general practice.
Evaluating the results of lipid-lowering treatment with statin in outpatients with type 2 diabetes mellitus and coronary artery disease
Authors: Le Thanh Minh Triet , Le Van Chi
Published: February 2025

Background: Statin has been chosen to control LDL-C level and to prevent atherosclerosis. To evaluate effectiveness of statin, we conducted this research with 2 objectives: (1) Surveying characteristics of lipid profiles in outpatients with type 2 diabetes mellitus and coronary artery disease; (2) Evaluating results of statin therapy.

Materials and methods: 74 patients enrolled were divided into two groups: prescribed statin with high and moderate intensity. Evaluating the lipid profiles and effectiveness of statin.

Results: Hypertriglyceridemia decreased HDL-C, combination of hypertriglyceridemia and decreased HDL-C were the most popular in both groups. Moderate intensity statin therapy was administered for 44 patients (59.5%) even though they were stratified as extreme risk. The percentage of patients achieving LDL-C, non-HDL-C target with high intensity statin therapy are more than ones with moderate intensity statin (66.7% versus 9.1%; 76.7% versus 13.6%). Percentage of adverse effects related to muscle and liver are 2.7% and 2.7%.

Conclusion: Hypertriglyceridemia decreased HDL-C, combination of hypertriglyceridemia and decreased HDL-C were the most popular in both groups. In practice, moderate intensity statin therapy was administered to patients who were stratified as extreme risk. The percentage of patients achieving LDL-C, non-HDL-C targets with high intensity statin therapy are more than ones with moderate intensity statin therapy. The percentage of adverse effects related to muscle and liver are low.

Key words: Type 2 diabetes mellitus, coronary artery disease, lipid profile, LDL-C, statin
Butterfly cartilage tympanoplasty: excellent treatment method for small and medium size perforations
Authors: Nguyen Nguyen , Ta Le Quyen
Published: February 2025

Background: Butterfly cartilage tympanoplasty is a feasible, safe and effective technique.

Objectives: to evaluate the outcomes of butterfly cartilage tympanoplasty for small and medium size perforations.

Materials and method: From February 2021 to July 2023, 33 patients underwent butterfly cartilage tympanoplasty at Hue University of Medicine and Pharmacy Hospital.

Results: Throughout 6-month follow-up period, successful closure occurred in 30 of 33 patients and success rate is 90.0%, the mean air conduction is 27.38 ± 12.31 dB compared to 37,23 ± 14,36 dB preoperatively. Preoperative mean ABG is 18.03 ± 6.52 dB whereas 8.44 ± 5.48 dB 6 months after surgery.

Conclusion: Butterfly cartilage tympanoplasty can be effective technique for small and medium size perforations. Moreover, it is advantageous to both surgeons and patients.

Key words: butterfly cartilage, endoscopic tympanoplasty, chronic otitis media, tympanic membrane perforation.
ІСТОРІЯ ПІДГОТОВКИ ФАХІВЦІВ ЗІ СПЕЦІАЛЬНОЇ ОСВІТИ В СКОВОРОДИНІВСЬКОМУ УНІВЕРСИТЕТІ: ВИНИКНЕННЯ, СТАНОВЛЕННЯ, РОЗВИТОК
Authors: Бойчук Юрій , Коваленко Вікторія
Published: February 2025

Розглядається історія підготовки фахівців зі спеціальності 016 «Спеціальна освіта» в Сковородинівському університеті: від витоків до сучасного етапу. Базуючись на тривалому досвіді підготовки компетентного вчителя, патріота, громадянина, маючи потужний кадровий потенціал і досвід підготовки як педагогів, так і медичних сестер, інструкторів ЛФК, в 1994 р. в ХНПУ імені Г. С. Сковороди було відкрито спеціальність «Дошкільна освіта» зі спеціалізацією «Логопедія». Постійно працюючи над посиленням кадрового потенціалу профільних кафедр, упроваджуючи інноваційний досвід підготовки фахівців, розбудовуючи матеріально-технічну базу, в 2018 р. в Сковородинівському університеті було ліцензовано спеціальність 016 «Спеціальна освіта». Керуючись потребами ринку праці, вимогами європейської системи забезпечення якості освіти, ХНПУ імені Г. С. Сковороди здійснює підготовку фахівців за п’ятьма освітньо-професійними програмами за трьома спеціалізаціями (016.01 «Логопедія», 016.02 «Корекційна психопедагогіка», 016.05 «Тифлопедагогіка») першого (бакалаврського) та другого (магістерського) рівнів вищої освіти. Освітній процес забезпечують потужний колектив науково-педагогічних працівників кафедри спеціальної педагогіки та кафедри здоров’я людини, реабілітології і спеціальної психології, з них 7 докторів наук, 12 кандидатів наук, доцентів, 1 доктор філософії та 3 старших викладача кафедр. Якість підготовки фахівців зі спеціальності 016 «Спеціальна освіта» відповідає національній сис- темі ліцензування й акредитації, а сам заклад вищої освіти посідає лідируючі позиції серед педагогічних університетів за даними національних і міжнародних рейтингів.
ІСТОРІЯ СТАНОВЛЕННЯ ТА РОЗВИТКУ ХАРКІВСЬКОЇ ПСИХОЛОГІЧНОЇ ШКОЛИ
Authors: Кузнєцов Марат , Хомуленко Тамара , Бережна Світлана
Published: February 2025

Розглядається історія кафедри психології Харківського національного педагогічного університету імені Г. С. Сковороди, починаючи з 30-х років ХХ ст., коли було створено напрямок Харківської психологічної школи, з акцентом на діяльнісний підхід до психічних явищ. Описуються ключові постаті дослідників, таких як О. Р. Лурія, О. М. Леонтьєв, О. В. Запорожець, які заклали основи психологічної науки в регіоні. Висвітлюється розвиток кафедри, її наукові дослідження, експериментальні роботи, а також генералізуються періоди зміни наукових інтересів і напрямків у психології, що мали місце в різні часи. Зазначається про сучасний склад кафедри, основні наукові напрямки, а також актуальні проблеми, над якими наразі працюють члени кафедри. Підкреслюються вагомий внесок кафедри в розвиток психології як науки в Україні та її сучасні дослідження в контексті соціальних і глобальних змін.
СВІТ СОФІЇ: КАФЕДРА ФІЛОСОФІЇ ЯК ОПОРА ІНТЕЛЕКТУАЛЬНОЇ АРХІТЕКТУРИ ХНПУ ІМЕНІ Г. С. СКОВОРОДИ
Authors: Бойчук Юрій , Радіонова Наталія
Published: February 2025

Присвячено розгляду основних етапів історії кафедри філософії. Основну увагу приділено аналізу ролі кафедри філософії в розбудові філософського мислення в ХНПУ імені Г. С. Сковороди. Як окремий напрямок діяльності кафедри розглянуто проблему світоглядного та громадянського виховання через межі мислимого та мовленого. Доведено, що навіть в часи тоталітарного тиску на освіту, вміння балансувати між наявним і бажаним, дозволили кафедрі майстерно обходити ідеологеми радянського союзу та пом’якшувати наративність Homo sovieticus, насичуючи навчальну і наукову діяльність дидактичними і виховними практиками вітчизняної філософсько-літературної традиції, провідне місце серед яких зайняло дослідження творчої спадщини Г. Сковороди. Під керівництвом М. Д . К ултаєвої здійснювалася активна наукова, освітня, суспільна і публіцистична діяльність членів кафедри. Велике значення приділяла М. Д . К ултаєва розвитку вітчизняної філософської науки та формуванню наукової школи з філософії освіти, філософії культури та філософської антропології в Харківському регіоні. Кафедра філософії забезпечує викладання філософії і дисциплін філософсько-гуманітарного циклу на усіх факультетах університету — це «Філософія», «Філософія української освіти та культури», «Філософія здоров’я в світовій і українській культурі», «Філософія освіти», «Філософські фундації та етичні орієнтири моделювання наукових досліджень», «Сві- тоглядні засади наукових досліджень». На кафедрі ефективно здійснюється підготовка здобувачів освіти третього освітньо-наукового рівня. Освітня й наукова діяльність представників кафедри філософії завжди була спрямована на досягнення балансу на терезах розуму та інтуїції.
РОЛЬ НАУКОВОЇ БІБЛІОТЕКИ У ЗБЕРЕЖЕННІ ТА ПРЕДСТАВЛЕННІ НАУКОВИХ ЗДОБУТКІВ ВЧЕНИХ ХНПУ ІМЕНІ Г. С. СКОВОРОДИ
Authors: Коробкіна Олена
Published: February 2025

Розглянуто роль наукової бібліотеки ХНПУ імені Г. С. Сковороди у збереженні та представленні наукових здобутків вчених університету. Проаналізовано джерела, які досліджують сучасний стан та перспективи розвитку діяльності університетських бібліотек з формування, збереження, популяризації досягнень провідних учених ЗВО. Проаналізовано інструменти збереження результатів інтелектуальної діяльності провідних учених університету, їх аналітичне опрацювання та представлення у вітчизняному науко-освітньому середовищі та світовому просторі. Окреслено перспективи подальшої діяльності в цьому напрямі.
Диагностические сети для обеспечения информационной безопасности телекоммуникационного оборудования
Authors: Саенко И.Б. , Васин А.В. , Марлей В.Е. , Крамской Н.Н. , Ермаков А.В.
Published: February 2025

Рассматриваются предложения по построению диагностических сетей для обеспечения информационной безопасности телекоммуникационного оборудования. Диагностические сети предложенной архитектуры позволяют контролировать разнородное телекоммуникационное оборудование разных моделей и производителей и его характеристики в реальном времени, а также быстро реагировать на любые изменения состояния информационной безопасности.

The article considers proposals for designing diagnostic networks to ensure the information security of telecommunication equipment. Diagnostic networks of the proposed architecture allow monitoring heterogeneous telecommunications equipment of different models and manufacturers, its characteristics in real time, and also quickly respond to any changes in the state of information security.
Herramientas y plataformas de procesamiento: Un análisis sistemático en el contexto de IoT y Big Data
Authors: Moreira Sánchez Wilmer Antonio , Cruz Felipe Marely del Rosario , Cotera Ramírez Gabriel Agustín , Medranda Cobeña Gema Isabel
Published: February 2025

El Internet de las Cosas (IoT, por sus siglas en inglés) ha transformado diversos sectores al permitir la conexión y comunicación entre dispositivos inteligentes. La enorme cantidad de registros generados en estos dispositivos requiere herramientas de Big Data para su almacenamiento, procesamiento y análisis eficiente. Este estudio presentó una revisión sistemática de la literatura con el objetivo de identificar y evaluar las herramientas de Big Data más utilizadas en soluciones de IoT. Se utilizó la metodología propuesta por Kitchenham, seleccionada por su enfoque estructurado y replicable, que garantiza resultados de alta calidad al minimizar sesgos. Esta metodología facilitó la identificación de tendencias clave y la resolución de problemas específicos como la optimización de procesos industriales y la mejora en la toma de decisiones gerenciales mediante Big Data. A través del análisis, se generaron preguntas de investigación que evaluaron publicaciones relevantes de los últimos cinco años, revelando cómo Big Data ha sido implementado en IoT para gestionar grandes volúmenes de datos, mejorar la escalabilidad y optimizar procesos en tiempo real. Las herramientas analizadas han demostrado ser efectivas para resolver problemas concretos, como la detección de fallos y la toma de decisiones informadas.
Infraestructura digital eXeLearning para la creación de contenido educativo dirigido a estudiantes de educación básica superior
Authors: Abril Diaz Diego Israel , Guevara Aulestia David Omar
Published: February 2025

El presente articulo exploró los beneficios de implementar una infraestructura digital para la creación de contenido educativo en estudiantes de educación básica superior. Se analizó el impacto de herramientas como eXeLearning en la generación de recursos multimedia y su integración en entornos educativos. Además, se destacaron las competencias mediáticas necesarias tanto para docentes como para estudiantes al emplear estas tecnologías. La investigación propuso un modelo de infraestructura basado en eXeLearning, diseñado para facilitar la producción de materiales digitales interactivos, adaptados a las necesidades del aprendizaje moderno. Mediante un enfoque experimental, se evaluó cómo estas herramientas potencian la asimilación de contenidos educativos en combinación con métodos de enseñanza tradicionales. Los resultados evidenciaron que esta integración mejora la interacción entre las tecnologías digitales y los estudiantes, promoviendo ambientes de aprendizaje más dinámicos e inclusivos. El modelo no solo optimizó la entrega de contenido, sino que también fomentó el uso innovador de plataformas digitales en la educación básica superior, posicionándolas como elementos clave para afrontar los desafíos de un mundo digitalizado.
Análisis de licitaciones públicas en Ecuador: aplicación de técnicas de explicabilidad en modelos de aprendizaje automático
Authors: Molina Miranda Maria Fernanda , Cuenca Ortega Ángel , Espín Pazmiño Luis , Molina Villacís Miguel
Published: February 2025

Las licitaciones públicas permiten a las instituciones contratar bienes, obras y servicios esenciales para el crecimiento del país. Este trabajo consistió en analizar los procesos de licitaciones públicas en Ecuador mediante la aplicación de técnicas de aprendizaje automático y explicabilidad de modelos, con el fin de mejorar la toma de decisiones. Se recopiló y procesó un conjunto de datos abiertos extraídos de la base de datos del SERCOP para identificar patrones y variables clave que influyeron en el éxito de las licitaciones. Utilizando modelos de clasificación como Random Forest, AdaBoost y CatBoost, y técnicas de explicabilidad como SHAP y Feature Importance, se desarrollaron modelos predictivos que permiten comprender de manera transparente las decisiones generadas por los algoritmos. Los resultados mostraron que CatBoost fue el modelo con mayor precisión predictiva y Feature Importance resultó ser la técnica más efectiva para explicar las predicciones. Además, se procedió a crear una interfaz web que permitió ingresar los datos de entrada y determinar si es recomendable que una empresa participe en una licitación. La inteligencia artificial explicable no solo mejora la precisión, sino que también proporciona información valiosa para que las empresas optimicen su participación en estos procesos.
Áreas naturales protegidas: análisis del avance de la cobertura jurídica para la protección ambiental: 1990-2024
Authors: Vasquez Sanchez Jose Ronald , Gómez Segil Christian Adolfo , León Carrasco Joseph Lázaro , Miraya Osorio Samantha Johana , Ortiz Girbau Diana Esther , Trujillo Ramírez Jorge Imanol
Published: February 2025

Las áreas naturales protegidas (ANP) son espacios designados para la conservación de la biodiversidad y el mantenimiento de los procesos eco-lógicos esenciales. Estas áreas, que incluyen parques nacionales, reservas biológicas y áreas de manejo de hábitats, juegan un papel crucial en la pro-tección de la flora, la fauna y los ecosistemas frente a las amenazas antropo-génicas y brindan diversos servicios ecosistémicos. Sin embargo, a pesar de estos beneficios, su implementación en el Perú no ha tomado gran rele-vancia. Este artículo analiza la evolución de la cobertura jurídica para la protección ambiental en el período 1990-2024, y destaca los avances y desafíos en la implementación de políticas de conservación. La investiga-ción corresponde al tipo descriptivo, con un enfoque de investigación documental. Los resultados obtenidos someten a un análisis comparativo las décadas de los años 1990, 2000, 2010 y 2020, además de analizar el juicio del estado de sostenibilidad relacionado con las ANP del Perú en torno a estándares internacionales.
Influencia de las novelas de John Grisham en el estudiante de Derecho
Authors: Labrín Pimentel Cynthia Lizbeth , Torres Zamora José Carlos
Published: February 2025

Un estudiante de Derecho conforme va avanzando los estudios de los semestres de su carrera así también se va identificando con la rama del Derecho en la que piensa especializarse. Particularmente, quienes gustan por el Derecho Penal, encuentran interés en las novelas literarias policiales o llamadas de humor negro, en las que hay una muerte, un robo o cualquier delito por desentrañar. Así las cosas, en este trabajo se pretende explicar cómo las famosas novelas (best sellers todas) de John Grisham, generan un apasionamiento tal en los estudiantes universitarios que, aunque el autor no se lo haya propuesto, ha generado ello como consecuencia. Para este estudio, de la larga producción literaria, se ha tomado en cuenta cuatro de ellas, de las cuales se cita frases o situaciones célebres y merecedoras de analizar. Y si bien es cierto se hace hincapié en la inclinación del estudiante hacia estas novelas, también es cierto que ya en titulados, es la Literatura la que acompaña o debería acompañar en su desarrollo profesional como abogado, conforme a la rama del Derecho en la que se especializó.