Piotr Górka, Julia Frączek, Karolina Borówka
et al.
Background: Hamstring muscle injuries (HMI) remain the most prevalent non-contact injury in high-speed sports, particularly football and athletics. Despite sports medicine advancements, HMI is characterised by high recurrence rates (12–33%), causing significant time loss and performance decrements.
Aim: This paper provides a comprehensive literature review regarding the functional anatomy, risk factors, diagnostic classification, and evidence-based treatment strategies for HMI.
Material and methods: A narrative literature review was conducted using PubMed and MEDLINE. We focused on high-quality studies (systematic reviews, randomised controlled trials, clinical guidelines) published between 2010 and 2025, covering conservative and surgical management.
Results: The biceps femoris long head's bi-articular architecture and dual innervation predispose it to eccentric strain during sprinting. Diagnosis has evolved with the British Athletics Muscle Injury Classification (BAMIC), which identifies intratendinous involvement as predicting prolonged recovery. Conservative management remains the gold standard for mid-substance injuries; L-protocol (lengthening) and eccentric strengthening show superior outcomes over concentric training. Surgery is indicated for complete proximal avulsions or high-grade partial tears with retraction (>2 cm); acute repair yields better outcomes than chronic reconstruction.
Conclusions: Effective HMI management requires a multimodal approach. While conservative care resolves most injuries, precise MRI diagnosis is crucial to identify surgical candidates early. Return to play must be criteria-based, prioritising restored eccentric strength, fascicle length, and sprint mechanics over time-based protocols or imaging clearance.
ABSTRACT Drawing from the perspectives of Black American Muslim parents who send their children to an Islamic school in a Sufi city in Senegal, this article develops the concept of a liberatory geography of educational possibility . I argue that parents made meaning of the school and city as spaces that nurtured their children's holistic growth and deepened their understandings of their multilayered identities in ways beyond what parents believed were possible in the U.S.
The rapid advancement of multimodal large language models (LLMs) has opened new frontiers in artificial intelligence, enabling the integration of diverse large-scale data types such as text, images, and spatial information. In this paper, we explore the potential of multimodal LLMs (MLLM) for geospatial artificial intelligence (GeoAI), a field that leverages spatial data to address challenges in domains including Geospatial Semantics, Health Geography, Urban Geography, Urban Perception, and Remote Sensing. We propose a MLLM (OmniGeo) tailored to geospatial applications, capable of processing and analyzing heterogeneous data sources, including satellite imagery, geospatial metadata, and textual descriptions. By combining the strengths of natural language understanding and spatial reasoning, our model enhances the ability of instruction following and the accuracy of GeoAI systems. Results demonstrate that our model outperforms task-specific models and existing LLMs on diverse geospatial tasks, effectively addressing the multimodality nature while achieving competitive results on the zero-shot geospatial tasks. Our code will be released after publication.
ABSTRACT: In this study, we constructed an integrated framework of a farming–breeding–bioenergy system to estimate the greenhouse gas (GHG) emission inventories of various farming and breeding processes in the northeast region of China from 2000 to 2021 based on life cycle assessment. Then, we compared the emission differences between the farming–breeding–bioenergy integrated system and the traditional farming–breeding system in different production segments. Finally, we assessed the environmental impact of the integrated system on agricultural GHG emissions. Results showed that the main sources of GHG emissions in Northeast China include enteric fermentation, fertilizer application, crop energy reduction, crop cultivation, and manure management. Emission hotspots also showed a trend of shifting from south to north and from east to west. In terms of environmental impact intensity, the largest increase in environmental impact intensity values among the farming and breeding systems was recorded in Heilongjiang Province (0.36) and Inner Mongolia (0.13), respectively. In terms of mitigation effects, the farming and breeding systems showed a considerable amount of residual straw and manure that can be fed into bioenergy systems, at 1 801.47 and 394.12 Mt, respectively. The farming–breeding–bioenergy integrated system demonstrated mitigating effects on agricultural GHG emissions.
Huseyin Harmankaya, Adrian Brietzke, Rebecca Pham-Xuan
et al.
The ability to engage in other activities during the ride is considered by consumers as one of the key reasons for the adoption of automated vehicles. However, engagement in non-driving activities will provoke occupants' motion sickness, deteriorating their overall comfort and thereby risking acceptance of automated driving. Therefore, it is critical to extend our understanding of motion sickness and unravel the modulating factors that affect it through experiments with participants. Currently, most experiments are conducted on public roads (realistic but not reproducible) or test tracks (feasible with prototype automated vehicles). This research study develops a method to design an optimal path and speed reference to efficiently replicate on-road motion sickness exposure on a small test track. The method uses model predictive control to replicate the longitudinal and lateral accelerations collected from on-road drives on a test track of 70 m by 175 m. A within-subject experiment (47 participants) was conducted comparing the occupants' motion sickness occurrence in test-track and on-road conditions, with the conditions being cross-randomized. The results illustrate no difference and no effect of the condition on the occurrence of the average motion sickness across the participants. Meanwhile, there is an overall correspondence of individual sickness levels between on-road and test-track. This paves the path for the employment of our method for a simpler, safer and more replicable assessment of motion sickness.
Background and aim. Despite the use of drinking hydrogen rich water both in clinical and sports medicine, further research into the mechanisms of its beneficial effect remains relevant. We found that both Naftussya bioactive water per se and combined balneotherapy have an ambiguous effect on physical performance. It was also found that the preventive use of “Truskavetska” bottled water, the chemical composition of which is somewhat similar to that of Naftussya bioactive water, has both similar and different effects on the post-stress parameters of rats. We set ourselves the goal of finding out the possibility of correcting the effect of "Truskavetska" bottled water on the post-stressor state of the neuro-endocrine-immune complex, as well as the endurance of rats by enriching it with hydrogen.
Material and methods. The experiment is at 26 female Wistar rats purposefully divided into three homogeneous (according to the swimming test and HRV parameters) groups. 5 animals remained intact with free access to regular daily water. Rats of the control group (n=4) for 7 days loaded through a tube with “Truskavetska” bottled table water (2 mL once), while the animals of main group (n=17) received the same water, but enriched with Hydrogen. After completing the preconditioning course, a repeated swimming stress test was performed. The next day after stressing, a number of parameters of the neuro-endocrine-immune complex and metabolism were recorded.
Results. Hydrogen rich water (HRW) minimizes the post-stressor increase in sympathetic tone and adrenal mass, and prevents the increase in catecholamines and corticosterone as well as plasma cells in the blood and rod-shaped neutrophils in the spleen. On the other hand, HRW prevents a post-stressor decrease in the intensity of macrophage phagocytosis and the bactericidal capacity of blood microphages, the content of lymphoblasts in the thymus, the activity of both antioxidant enzymes and vagal tone, and also minimizes the decrease in the content of eosinophils in the blood, non-alpha-lipoprotein cholesterol in the serum, and the mass of the spleen, in addition, the reduced content of plasma cells in the spleen reverses to an excess. Finally, the non-stress-responsive parameters of the control animals: the activity of AlT, CPhK, AsT and diene conjugates of the serum, the content of reticulocytes and Hassal’s bodies in the thymus - under the influence of HRW increase to one degree or another. Importantly, this also applies to the duration of swimming until exhaustion. A strong canonical correlation was found between the activity of antioxidant enzymes, on the one hand, and metabolic-endocrine (R=0.959) and immune (R=0.959) sets, on the other hand.
Conclusion. Enrichment of "Truskavetska" bottled table water with hydrogen generally has a favorable effect on its stress-limiting and actotropic capacity, associated with antioxidant activity.
In deep-sea mining hydraulic lifting systems, centrifugal pumps are very important as power units. In the process of transportation, the fluid prewhirl phenomenon in the impeller inlet will lead to changes in the state of motion of the particles and fluid and cause the wear of the inlet pipe, which can lead to centrifugal pump failure in serious cases. In this paper, a numerical simulation of the centrifugal pump is carried out based on the CFD-DEM coupling method to analyze the influence of the prewhirl on the wear of the inlet pipe. The results show that the velocity streamline near the impeller inlet position changes significantly. The flow field velocity increases along the radial direction of the inlet pipe, and it has a maximum value at <i>r/R</i> = 0.98. The prewhirl flow pulls the particles to change their original motion direction, and the area where the particles are subjected to high fluid force is concentrated between 0.5 <i>d/D</i> and 1 <i>d/D</i>, about 0.015 to 0.018 N, resulting in the uneven distribution of particles. The high-wear area appears in the bottom-left area (specifically, L4, L9, and L13), and this is also the location of the largest cumulative force; the high-wear area shows a triangle. The collision energy loss of particles increases due to the influence of the prewhirl, which leads to an increase in wear.
Abstract This paper presents a new theoretical concept, Cognability, which aims to conceptualize how supportive an area is to cognitive health among aging residents. Cognability incorporates a both positive and negative neighborhood features related to physical activity, social interaction and cognitive stimulation in later life. We analyzed data from the Reasons for Geographic and Racial Differences in Stroke Study, a national sample of older Black and white US adults (n=21,151; mean age at assessment=67; data collected 2006–2017). Generalized additive multilevel models examined how cognitive function varied by neighborhood features. Access to civic and social organizations, recreation centers, fast-food and coffee establishments, arts centers, museums, and highways were significantly associated with cognitive function. Race-, gender-, and education-specific models did not yield substantial improvements to the full-model. Cognability advances ecological theories of aging through an innovative “whole neighborhood” approach. Findings may inform community interventions and policy to support healthy aging in place.
The urban planning process is complex, involving social, economic, environmental, and political systems. Knowledge of how these systems interact is the domain of professional planners. Advances in artificial intelligence (AI) present planners with a ripe opportunity to critically assess their approaches and explore how new data collection, analysis, and methods can augment the understanding of places as they seek to anticipate futures with improved quality of life. AI can offer access to more and better information about travel patterns, energy consumption, land utilization, and environmental impacts, while also helping to better integrate these systems, which is what planners do. The adoption process will likely be gradual and involve significant time and resources. This article highlights several topics and issues that should be considered during this process. It is argued that planners will be well-served by approaching AI tools in a strategic manner that involves the topics discussed here.
Geography. Anthropology. Recreation, Social Sciences
An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
Radmila Jovanović, Fernando Almeida-García, Rafael Cortés-Macías
Tourism in the wine region of Central Serbia has been gaining more and more affirmation in recent years. This wine destination offers to tourists a rich wine culture and recreation. Also, as a special supplement to wine tourism, ecotourism is especially promoted, in combination with quality wines with geographical origin. The basic analysis of this study is to identify potential locations for ecotourism activities in the wine region of Central Serbia based on physical-geographical elements (topography, altitude, slope, land use / coverage, diversity, distance from rivers) and socio-economic data (proximity to tourist attractions, distance from major roads and places). The integration of the Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP) greatly facilitates the decision-making process in the assessment of ecotourism activities. As a result of this paper, a map of benefits for the development of ecotourism potentials was highlighted. Very high potential is shown by forest areas that can play a key role in tourism but are not fully used. This analysis helps in two ways: the promotion of ecotourism and viticultural destinations. In particular, in the assessment and implementation for local communities to identify tourism as an opportunity for economic development.
We use exploratory factor analysis to investigate the online persistence of known community-level patterns of social capital variance in the U.S. context. Our analysis focuses on Facebook groups, specifically those that tend to connect users in the same local area. We investigate the relationship between established, localized measures of social capital at the county level and patterns of participation in Facebook groups in the same areas. We identify four main factors that distinguish Facebook group engagement by county. The first captures small, private groups, dense with friendship connections. The second captures very local and small groups. The third captures non-local, large, public groups, with more age mixing. The fourth captures partially local groups of medium to large size. The first and third factor correlate with community level social capital measures, while the second and fourth do not. Together and individually, the factors are predictive of offline social capital measures, even controlling for various demographic attributes of the counties. Our analysis reveals striking patterns of correlation between established measures of social capital and patterns of online interaction in local Facebook groups. To our knowledge this is the first systematic test of the association between offline regional social capital and patterns of online community engagement in the same regions.
E. Samadpour Shahrak, H. Sattari Sarbangholi, M. S. Moosavi
One of the crucial factors for the presence of more people outdoors is to create comfortable conditions. This issue is significant for the elderly due to the different physical conditions. The purpose of this study is to improve the micro-climatic condition around residential complexes considering the elderly in a linear type. For this purpose, two physical indicators, the ratio of the height of buildings to their distance from each other (H/D) and the orientation of them towards the street, were investigated. Regarding H/D, ratios of 0.5, 1, 1.5, and 2, and about the orientation factor, angles of 135° to 200° were examined. This study was conducted outdoors around residential complexes in Iran, Tabriz, with a cold semi-arid climate. Envi-met software model 4.4.5 was used for the simulation. The days June 22 and December 22, 2020 were selected as one of the hottest and coldest day of the year. Two indexes of the Predicted Mean Vote (PMV) and the Universal Thermal Climate Index (UTCI) were examined as essential thermal comfort indexes. Also, for validation, local and field data in six days (21, 22, 23 June in summer and 21, 22, 23 December in winter) were extracted and compared with the data of the software. The results display, the ratio of H/D=1.5 and the angles of 135° and 145° were the most suitable comfort conditions.
The key to determine the performance of fuzzy inference inversion is to select a reasonable domain. However, there is no universal method for selecting domain at present. According to the characteristics of heat flux of geothermal heat source and the research of fuzzy inference inversion process, this paper modified the fuzzy inference method from two aspects of domain setting and iteration termination condition. The recommended domain and selection scheme for solving the problem of geothermal heat flux are given, and the modified fuzzy inference inversion method is applied to Rucheng geothermal field to verify the method. The results showed that the modified fuzzy inference inversion method could overcome the problem that the solution of the traditional method fell into a cycle, and the relative error of the verification term was less than 5%. Compared with the traditional method, the modified method greatly improved the computational efficiency, and the number of iterations was reduced to only 7. This method has a good application prospect for geothermal heat source inversion and resource evaluation.
yán Iván-Baragaño, Rubén Maneiro, Jose L. Losada
et al.
La investigación en fútbol femenino ha aumentado de manera notable en los últimos años. A pesar de ello, en el ámbito del rendimiento táctico colectivo las publicaciones aún son escasas. El objetivo de este estudio fue analizar y describir cómo se produjeron las acciones ofensivas dinámicas en las selecciones ganadoras y perdedoras en la Copa Mundial Femenina de la FIFA Francia 2019 y establecer diferencias entre ambos grupos. Desde una metodología observacional, se elaboró un instrumento de observación ad hoc y se analizaron 1883 acciones ofensivas que tuvieron lugar en la fase final del campeonato. Se realizaron dos tipos de pruebas estadísticas para comprobar la existencia de diferencias entre grupos. Se aplicó la prueba chi-cuadrado para los criterios de tipo cualitativo y la prueba U de Mann Whitney para los criterios de tipo continuo con un nivel de significación p < .05. Se demostró la existencia de diferencias significativas para los siguientes criterios: temporalidad, resultado temporal, tiempo total de posesión, tiempo de posesión en campo rival, organización defensiva rival, zona de inicio en amplitud y resultado de la acción. Las selecciones que ganaron los partidos mostraron una mayor capacidad de desarrollar sus ataques en los primeros momentos de la primera y la segunda parte, así como una mayor calidad colectiva para mantener la posesión de balón en campo rival y finalizar sus acciones con éxito. Estos resultados pueden ser utilizados con el objetivo de implementar estrategias de entrenamiento y competición que permitan aumentar el rendimiento en fútbol femenino de élite
Taman Gajah Mada is an outdoor recreation landscape located on Jalan Gajah Mada Medan, North Sumatra. Residents around Medan use this landscape to carry out sports activities. Usually, Taman Gajah Mada is visited by visitors in the morning and evening. Visitors who come in the morning usually come to just exercise. Meanwhile, visitors who come in the afternoon typically sit around enjoying the afternoon atmosphere in this beautiful and clean garden. This study was qualitative, and the ethnography method was applied to collect and analyze the data. The analysis also deliberated the unity of multidiscipline landscape architects and landscape anthropology to explain the use of outdoor recreation in Taman Gajah Mada. This literature becomes a reference for research on the concept of public open space at Taman Gajah Mada to maintain cultural originality in the use of roars in the landscape. This study indicates three public open spaces, namely the buffer zone, transition zone, andcore zone. These three public open spaces can be grouped into two based on their function and purpose: general and special public open spaces. The general public open spaces such as transition zoneand core zonecan be utilized and used by the entire community, while special ones such as the Buffer Zone are buffer areas.
The analysis of record-breaking events is of interest in fields such as climatology, hydrology or anthropology. In connection with the record occurrence, we propose three distribution-free statistics for the changepoint detection problem. They are CUSUM-type statistics based on the upper and/or lower record indicators observed in a series. Using a version of the functional central limit theorem, we show that the CUSUM-type statistics are asymptotically Kolmogorov distributed. The main results under the null hypothesis are based on series of independent and identically distributed random variables, but a statistic to deal with series with seasonal component and serial correlation is also proposed. A Monte Carlo study of size, power and changepoint estimate has been performed. Finally, the methods are illustrated by analyzing the time series of temperatures at Madrid, Spain. The R package $\texttt{RecordTest}$ publicly available on CRAN implements the proposed methods.