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.
This paper introduces a newly constructed individual-level dataset of prewar Japanese elites using the ``Who's Who'' directories published in 1903-1939. Covering approximately the top 0.1\% of the population, the dataset contains rich information on social origin, education, occupation, and family structure. By reconstructing intergenerational links and family networks, we provide descriptive evidence on elite formation and persistence across geography, social groups, and education during institutional transitions. The dataset provides a foundational empirical resource for studying elite reproduction, intergenerational and intergroup mobility, and institutional development during Japan's transition to a modern society.
Large Language Models (LLMs) have demonstrated unprecedented capabilities across various natural language processing tasks. Their ability to process and generate viable text and code has made them ubiquitous in many fields, while their deployment as knowledge bases and "reasoning" tools remains an area of ongoing research. In geography, a growing body of literature has been focusing on evaluating LLMs' geographical knowledge and their ability to perform spatial reasoning. However, very little is still known about the internal functioning of these models, especially about how they process geographical information. In this chapter, we establish a novel framework for the study of geospatial mechanistic interpretability - using spatial analysis to reverse engineer how LLMs handle geographical information. Our aim is to advance our understanding of the internal representations that these complex models generate while processing geographical information - what one might call "how LLMs think about geographic information" if such phrasing was not an undue anthropomorphism. We first outline the use of probing in revealing internal structures within LLMs. We then introduce the field of mechanistic interpretability, discussing the superposition hypothesis and the role of sparse autoencoders in disentangling polysemantic internal representations of LLMs into more interpretable, monosemantic features. In our experiments, we use spatial autocorrelation to show how features obtained for placenames display spatial patterns related to their geographic location and can thus be interpreted geospatially, providing insights into how these models process geographical information. We conclude by discussing how our framework can help shape the study and use of foundation models in geography.
Geospatial knowledge graphs have emerged as a novel paradigm for representing and reasoning over geospatial information. In this framework, entities such as places, people, events, and observations are depicted as nodes, while their relationships are represented as edges. This graph-based data format lays the foundation for creating a "FAIR" (Findable, Accessible, Interoperable, and Reusable) environment, facilitating the management and analysis of geographic information. This entry first introduces key concepts in knowledge graphs along with their associated standardization and tools. It then delves into the application of knowledge graphs in geography and environmental sciences, emphasizing their role in bridging symbolic and subsymbolic GeoAI to address cross-disciplinary geospatial challenges. At the end, new research directions related to geospatial knowledge graphs are outlined.
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.
Insight into the non-random distribution patterns of species in different regions is a foundational aim of research in community ecology and biogeography. The nestedness pattern, which investigates changes in species composition and abundance, has been widely used in numerous studies. However, studies on the nestedness of benthic diatoms are extremely rare, and consequently little has been mentioned of their assemblage mechanisms. To fill this gap, based on 168 benthic diatom species from 147 sampling sites in the Thousand Island Lake (TIL) catchment, we calculated their nestedness and niche width with the aim of i) analyzing the nestedness of benthic diatoms communities with different attachment abilities in TIL; ii) calculating niche width differences between nested and idiosyncratic species with different attachment abilities; iii) investigating the differences in alpha and beta diversity between nested and idiosyncratic sites; iv) examining whether environmental variables influencing the nestedness of benthic diatom communities are dependent on attachment ability. The results demonstrated a significant nestedness pattern in the benthic diatom metacommunity, and the sampling sites of low attachment species not only exhibited a nestedness pattern, but also with a lower nestedness value compared to the sampling sites of all species. Nested and idiosyncratic species differed in niche width, whereas differences between nested and idiosyncratic species of low attachment species were smaller. Additionally, significant differences in alpha and beta diversity were observed between nested and idiosyncratic sites. Furthermore, it was revealed that the nestedness of benthic diatom metacommunity in our study area were mostly influenced by local environmental variables. Our study contributes to the understanding of the significant nestedness observed in benthic diatom metacommunity in TIL, highlighting its relevance to biodiversity conservation efforts.
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.
A simple experiment was conducted to test the ability of the Chinese-based generative artificial intelligence (AI) platform, Wenxin Yige, to render images of urban street views of different countries. The study found that images generated by this AI platform may contain continental-level stereotypes in terms of showing the level of economic development and modernization. Street view images generated from Wenxin Yige do not adequately represent the diverse range of urban landscapes found across different nations. Using these generated images for geography education or outreach initiatives could inadvertently strengthen people's existing stereotypical views about individual countries.
Abstract Based on the PM2.5 concentration in the autumn and winter of 2015–2019, the characteristics of urban air pollution in the eastern monsoon region of China were discussed. The spatial distribution and interregional influence of fine particle pollution under different synoptic weather and topography in the eastern monsoon region of China were illustrated. According to synoptic systems, regional PM2.5 pollution episodes were classified into three categories, including Uniform Pressure field (UP, 60.00%), Pre-High Pressure (PreHP, 30.91%) and Inverted-Trough (IT, 9.09%). The K-Means algorithm combined with the HYSPLIT backward trajectory clustering analysis indicated four clusters under UP controlled, and under weak pressure field was responsible for the elevation of PM2.5 concentration, where the Beijing-Tianjin-Hebei and its surrounding areas were the most polluted region. For PreHP, four clusters eased after cold front. For IT, three clusters were ascertained, and the severe PM2.5 pollution area was in the central and southern of the North China Plain. This study provided a scientific basis for the joint prevention of PM2.5 pollution based on topographic and meteorological characteristics in Eastern China.
Conviviality can briefly be defined as togetherness among strangers despite their differences. While most of the research on conviviality focuses on (inter-)cultural differences, this article argues that considering other kinds of differences (e.g., socio-economic status, gender, age, stage of the life course, etc.) may increase our understanding of conviviality. In addition, to help us measure the convivial use of public space, the article looks at participation in “optional activities” (e.g., enjoying the sun, playing), which contribute to a convivial atmosphere by encouraging people to be co-present, thus offering the potential for “thicker sociability.” Based on fieldwork consisting of behavioural mapping (n = 1,448) and an intercept survey (n = 1,474), this study explores key factors that increase the likelihood of people using three small public squares in Zurich, Switzerland, in a convivial way. A logistic regression model based on survey data shows that, even when controlling for individual factors, the squares and their affordances contribute substantially to convivial use, e.g., by providing ample seating. The model furthermore suggests that gender, people’s relationship to the neighbourhood, their occupation, and the time of day, are more significant factors in shaping convivial use of the squares than the cultural background, socio-economic status, age, or having children.
We evaluate two interventions facilitating technology-sector transitions for women in Poland: Mentoring, focused on expanding professional networks, and Challenges, focused on building credible skill signals. Randomizing oversubscribed admissions, we find both programs substantially increase technology employment at twelve months - by 15 percentage points for Mentoring and 11 p.p. for Challenges. The distinct mechanisms through which the programs operate translate to heterogeneous treatment effects across geography, career stage, and baseline credentials. These differential effects create scope for improved allocation: algorithmic targeting across programs outperforms random assignment by 86% and experts' selection into Mentoring by 11%.
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
The history and geography of intellectual neglect of Marxism are the history and geography of Marxism itself. Scholars of different political persuasions and from different regions of the world, including some ‘Marxists’, have pointed to its various deficiencies ever since its origin. But is Marxism really as bad as it is made out to be? In this short article, I argue that it absolutely is not. I discuss my view of Marxism, including Marxist geography. The latter examines economy, politics, culture and nature/body from the vantage-point of space, place, scale and human transformation of nature. I also discuss what difference Marxism has made to my own agenda of abstract and concrete research. For me, Marxism fundamentally comprises ideas of Marx and Engels, and revolutionary Marxist socialists of the 20th century (Lenin, Luxemburg and Trotsky), and those who have critically developed their thinking. I discuss four major areas of Marxism: philosophy (dialectical and materialist views of society and nature), social theory, or historical materialism, (geographical) political economy, and theory of communist practice. Marxism treats class, including in its capitalist form, as the causally most important social relation which explains how human beings live their lives. Class relations, and capitalism, structure gender and racial oppression which in turn influence class relations at a concrete level, and which are behind the geographical organization of society. The main goal of Marxism is not to produce ideas for the sake of ideas. It is rather to arm the exploited masses with adequate ideas that describe, explain and critique the world from their standpoint, so they can engage in the fight to produce an alternative social-spatial arrangement, i.e. a democratic and classless society which is ecologically healthier and which avoids geographically uneven development intra-nationally and internationally.
We consider the mathematical theory of geographical maps, with an emphasis on the eighteenth century works of Euler, Lagrange and Delisle. This period is characterized by the frequent use of maps that are no more obtained by the stereographic projection or its variations, but by much more general maps from the sphere to the plane. More especially, the characteristics of the desired geographical maps were formulated in terms of an appropriate choice of the images of the parallels and meridians, and the mathematical properties required by the map concern the distortion of the maps restricted to these lines. The paper also contains some notes on the general use of mathematical methods in cartography in Greek Antiquity and in the modern period, and on the mutual influence of the two fields, mathematics and geography. The final version of this paper will appear in Ganita Bharati (Indian mathematics).
Spatial statistics is an area of study devoted to the statistical analysis of data that have a spatial label associated with them. Geographers often refer to the "location information" associated with the "attribute information," whose study defines a research area called "spatial analysis." Many of the ways to manipulate spatial data are driven by algorithms with no uncertainty quantification associated with them. When a spatial analysis is statistical, that is, it incorporates uncertainty quantification, it falls in the research area called spatial statistics. The primary feature of spatial statistical models is that nearby attribute values are more statistically dependent than distant attribute values; this is a paraphrasing of what is sometimes called the First Law of Geography (Tobler, 1970).
Apreendemos a metropolização do espaço enquanto processo socioespacial biopolítico. A partir da análise das remoções ocorridas no Morro da Providência-RJ, no âmbito da Operação Urbana Consorciada da Região Portuária do Rio de Janeiro e do Programa Morar Carioca, objetivamos analisar a espacialidade biopolítica na metrópole contemporânea. Após relacionar o processo de metropolização às relações de poder que inscrevem a biopolítica no espaço, buscamos um diálogo entre Michel Foucault e Henri Lefebvre, em torno dos conceitos de “meio” e “espaço instrumental”. Propomos a tríade analítica inscrição-prescrição-ordenação para examinar os projetos e intervenções urbanas que promovem o “estranhamento espacialmente construído” e a “desumanização espacialmente forjada”, processos espaciais que esvaziam a substância política que constitui o ser social.
Assuming that partisan fairness and responsiveness are important aspects of redistricting, it is important to measure them. Many measures of partisan bias are satisfactory for states that are balanced with roughly equal proportions of voters for the two major parties. It has been less clear which metrics measure fairness robustly when the proportion of the vote is unbalanced by as little as 60% to 40%. We have addressed this by analyzing past election results for four states with Democratic preferences (CA, IL, MA, and MD), three states with Republican preferences (SC, TN, and TX) and comparing those to results for four nearly balanced states (CO, NC, OH, and PA). We used many past statewide elections in each state to build statistically precise seats for votes and rank for votes graphs to which many measures of partisan bias were applied. In addition to providing values of responsiveness, we find that five of the measures of bias provide mutually consistent values in all states, thereby providing a core of usable measures for unbalanced states. Although all five measures focus on different aspects of partisan bias, normalization of the values across the eleven states provides a suitable way to compare them, and we propose that their average provides a superior measure which we call composite bias. Regarding other measures, we find that the most seemingly plausible symmetry measure fails for unbalanced states. We also consider deviations from the proportionality ideal, but using it is difficult because the political geography of a state can entangle responsiveness with total partisan bias. We do not attempt to separate intentional partisan bias from the implicit bias that results from the interaction of the map drawing rules of a state and its political geography, on the grounds that redistricting should attempt to minimize total partisan bias whatever its provenance.
Md. Nasif Ahsan, Amina Khatun, Md. Sariful Islam
et al.
Cyclone early warning systems are the primary sources of information that enable people to develop a preparedness strategy to mitigate the hazards of cyclones to lives and livelihoods. In Bangladesh, cyclone early warnings have significantly decreased the number of cyclone related fatalities over the last two decades. Nevertheless, several challenges remain for existing early warning services (EWS), urging for both technical and non-technical improvements in the said services. Given limited financial resources, the economic efficiency assessment of the improvement is highly important. Therefore, this study aims to estimate the willingness to pay (WTP) for improved warning services by considering the at-risk households' trade-off between proposed improved EWS and existing EWS in coastal Bangladesh. Applying systematic random sampling, 490 respondent households were selected from Khulna, Satkhira, and Barguna districts, with whom a choice experiment (CE) was performed. The CE was designed by incorporating impact-based scenarios for improved EWS. As analytical tools, Conditional and Mixed-Logistic regression models were used that derived the WTP for improved EWS attributes. Empirical results show that the WTP of an at-risk household for improved EWS was estimated at Bangladeshi Taka BDT 468 (≈ US$ 5.57) per year, implying respondents were ready to pay for the improvement of the warning attributes, including precise information of the cyclones landfall time with possible impacts, more frequent radio forecasts, and voice messages in the local dialects over mobile phones. A revenue stream for improved EWS was developed, implying investments in EWS would be a no-regrets approach. This study concludes with four policy recommendations on mitigating the existing challenges for improving EWS in Bangladesh. Keywords: Cyclone, Bangladesh, Early warning, Disaster risk, Willingness-to-pay, Choice experiment
Edward D. Lee, Bryan C. Daniels, Christopher R. Myers
et al.
Armed conflict exhibits regularities beyond known power law distributions of fatalities and duration over varying culture and geography. We systematically cluster conflict reports from a database of $10^5$ events from Africa spanning 20 years into conflict avalanches. Conflict profiles collapse over a range of scales. Duration, diameter, extent, fatalities, and report totals satisfy mutually consistent scaling relations captured with a model combining geographic spread and local conflict-site growth. The emergence of such social scaling laws hints at principles guiding conflict evolution.