scholarly journals A Novel Method of Interpreting the Relationship between Workload and Injury Occurrence: A Case Study

Author(s):  
Diarmuid O'Dowd-Hill

Workloads may be classified as either internal or external. Internal workloads (heart rate, blood lactate, session rate of perceived exertion (sRPE) are categorised as the individual’s response to an external workload (volume, intensity). sRPE is an easily monitored variable which has been shown to have possible associations with other internal (1) and injury rates (2, 3) in contact sports. This case study describes the internal workload monitoring of a schoolboy rugby player during the entirety of his season (September to March) with the subsequent relationships between workload and time loss injuries being explored. Time loss injuries are defined as injuries which caused the individual to miss training or match play time (4). Acute to chronic workload ratio (ACWR) and exponentially weighted moving average (EWMA) were monitored, a novel ACWR:EWMA ratio was also calculated. High ACWR and low EWMA values were associated with injury occurrence, the ACWR:EWMA ratio may account for this. EWMA may be a better predictor of “time loss” injuries than ACWR. The ACWR:EWMA ratio may merit further scientific exploration in the future.

2013 ◽  
Vol 2 (2) ◽  
pp. 316-344
Author(s):  
BEATRICE I. BONAFÉ

AbstractInternational criminal law provides a particularly interesting case study for the proliferation of legal orders as it helps to understand the types of uncertainties their interaction may entail with respect to the position of the individual as well as the solutions that may be adopted in that respect. This article analyses a selected number of substantive and procedural uncertainties that originate in the relationship between international criminal law and domestic legal orders. The purpose of the discussion is to identify the particular legal devices that have been elaborated in order to ensure the coordination between these legal orders, and to suggest areas in which a better coordination is still to be achieved.


2016 ◽  
Vol 39 (3) ◽  
Author(s):  
Ding Xiaowei

AbstractThe existing literature has revealed that Problem-based Learning (PBL) can improve the cognitive competence of learners, but few studies focus on L2 learning from the perspective of students, or on the relationship between PBL and linguistic cognition. Based on students’ reflective journals, the researcher’s observation notes, and interviews with teachers and students, this case study describes the individual and collective self-negotiations during a Problem-Based L2 Learning (PBLL) practice of 157 non-English majors at three universities in Beijing. The current study makes a distinction between surface and deep self-negotiations, and confirms the conception of the self-negotiated L2 cognition of PBLL learners. The research results show (1) that the self-negotiation is a consistent feature of PBLL because the whole PBLL process comprises the cyclic intertwining of individual and collective self-negotiations, (2) that L2 learners manage to achieve individual and collective self-negotiations through cognitive mechanisms of linking, riffling and converging, and (3) that deep self-negotiations in PBLL are more dynamic, interactive, and generative. Pedagogical implications, research limitations, and future directions are also discussed.


2021 ◽  
Vol 12 ◽  
Author(s):  
Huifang Jiao ◽  
Lamei Qian ◽  
Tianzhuo Liu ◽  
Lijun Ma

Whereas the effect of people’s motivations to give to traditional, off-line charities has been extensively investigated, their motivations to support online charitable crowdfunding projects are largely unexplored. The present study examines the influences of extrinsic motivations (such as reputation, the wish to signal a certain image; and reciprocity, the expectation on future return for their present contribution), intrinsic motivations (such as a sense of belonging, the feeling of belonging to an integral part of a positive community; joy of giving, the anticipated positive emotions experienced by helping others; altruism, intrinsic desire to help others without expectation of a return; and financial constraints, individuals’ personally felt financial stresses induced by donations), and social interactions (such as social influence, people’s perception of how their close acquaintances believe they should support the project; and social ties, the strength of the relationship between the individual and the project initiator) on intentions to support charitable crowdfunding behaviors, namely, the willingness to share (WTS) project information and the intention to donate (ITD) money. Hierarchical multiple regression analyses on self-reported survey data from 617 respondents in China reveal support for the hypotheses. The results show that intrinsic motivations and social ties are predictors for both supporting behaviors. Reputation and social influence motivate people to share projects, but have no significant effects on their ITD. Reciprocity is positively, and financial constraints are negatively, related to ITD but have no significant effects on WTS. These findings offer insights into the motivations driving individuals’ participation in charitable crowdfunding. The implications for both platforms and fundraisers are discussed.


2021 ◽  
Vol 25 (12) ◽  
pp. 6479-6494
Author(s):  
Felix S. Fauer ◽  
Jana Ulrich ◽  
Oscar E. Jurado ◽  
Henning W. Rust

Abstract. Assessing the relationship between the intensity, duration, and frequency (IDF) of extreme precipitation is required for the design of water management systems. However, when modeling sub-daily precipitation extremes, there are commonly only short observation time series available. This problem can be overcome by applying the duration-dependent formulation of the generalized extreme value (GEV) distribution which fits an IDF model with a range of durations simultaneously. The originally proposed duration-dependent GEV model exhibits a power-law-like behavior of the quantiles and takes care of a deviation from this scaling relation (curvature) for sub-hourly durations (Koutsoyiannis et al., 1998). We suggest that a more flexible model might be required to model a wide range of durations (1 min to 5 d). Therefore, we extend the model with the following two features: (i) different slopes for different quantiles (multiscaling) and (ii) the deviation from the power law for large durations (flattening), which is newly introduced in this study. Based on the quantile skill score, we investigate the performance of the resulting flexible model with respect to the benefit of the individual features (curvature, multiscaling, and flattening) with simulated and empirical data. We provide detailed information on the duration and probability ranges for which specific features or a systematic combination of features leads to improvements for stations in a case study area in the Wupper catchment (Germany). Our results show that allowing curvature or multiscaling improves the model only for very short or long durations, respectively, but leads to disadvantages in modeling the other duration ranges. In contrast, allowing flattening on average leads to an improvement for medium durations between 1 h and 1 d, without affecting other duration regimes. Overall, the new parametric form offers a flexible and enhanced performance model for consistently describing IDF relations over a wide range of durations, which has not been done before as most existing studies focus on durations longer than 1 h or day and do not address the deviation from the power law for very long durations (2–5 d).


2019 ◽  
Vol 11 (10) ◽  
pp. 2942 ◽  
Author(s):  
Megan K. Blake

This research considers the relationship between neoliberalism, poverty and food insecurity and how this impacts on the ability of a community to self-organise and become resilient. Specifically, it examines shocks imposed by the implementation of austerity policy and neoliberal welfare reform and the longer term individualisation that gives rise to greater vulnerability to such shocks and how community organisations encourage different levels of resilience in the face of this. Original findings from case study and qualitative analysis are twofold. Firstly, food insecurity effects are not only hunger and poor health experienced at the individual scale, but they also extend into places through the loss of social networks, erosion of community spaces, denigration of local foodscapes and collective de-skilling that limits the community resources needed for self-organising. Secondly, the ways in which food support is provided in communities has implications for how communities can regain the resources they need to be able to enact resilience in the face of trouble and difficulty. As such, the research demonstrates that self-organising is more than free-time activity; in these conditions, the capacity to self-organise is a vital community asset that is necessary for building resilience and social sustainability. As such, policy responses to poverty should take a multi-scale approach.


2015 ◽  
Vol 46 (1) ◽  
pp. 119-128 ◽  
Author(s):  
David Casamichana ◽  
Julen Castellano

AbstractThe aim of the present study was to examine the relationship between different kinds of intensity indicators in small-sided soccer games. This descriptive correlational study included 14 semi-professional male soccer players (21.3 ± 2.3 years, 174 ± 4.0 cm, 73.4 ± 5.1 kg) from the same team. The players were monitored by means of heart rate monitors and GPS devices during 27 small-sided games of nine different formats, yielding a total of 217 recordings. After each game the Borg scale was used to give a rate of perceived exertion (RPE). The internal load indicators were the mean heart rate relative to the individual maximum (%HRmean) and the RPE, while those for the external load were the player load, total distance covered, distance covered in two intensity ranges (>18 km·h-1 and >21 km·h-1), and frequency of effort (in the same two intensity ranges). There was a significant moderate correlation (r=0.506) between the two internal load measurements (%HRmean and RPE). Although there were significant correlations of different degrees between various external load measurements, only the player load was significantly correlated with the internal load indicators (r=0.331 with %HRmean and r=0.218 with RPE). During training programes of this kind, it is necessary to consider a range of intensity indicators so as to obtain complementary information. This will enable coaches to more accurately assess the load imposed on players and therefore optimize the training process.


2021 ◽  
Vol 27 (1) ◽  
pp. 124-140
Author(s):  
Volodymyr Salii

The article seeks to address a fundamental gap in collective moral responsibility research by exploring a collectivist rather than the dominating individualist perspective on the relationship between a private individual and the collective whole. In particular, it presents a qualitative case study of ideas of outstanding Ukrainian teacher, methodologist and theorist of education, founder of the pedagogical school Anton Semenovych Makarenko and his collectivist pedagogy as a major educational paradigm implemented within the context of the Soviet state and society. The analysis of the concepts of collective experience, communist personality, collective, distribution of powers, responsibility, and discipline contributes to a better understanding of the nature of individual and collective moral responsibility. At the same time, the article argues that a consistent implementation of the collectivist worldview results in an essentially flawed misbalanced relationship between an individual and the collective of people. In the Soviet context, such misbalance is evidenced in the phenomena of the cult of personality and state paternalism. As a consequence of identifying responsibility with discipline, the individual personality is deprived of its moral and utilitarian autonomy, devalued, and forcibly assimilated by the collective whole perceived as the highest authoritative source of moral judgement and the sole distributor of moral responsibility. Consistent implementation of the collectivist worldview in the context of Soviet society inevitably leads to an imbalance in the relationship between individual and collective principles and, ultimately, the justification of any coercion and violence by the state as such a team performing the highest guardianship and pedagogical function.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ani Shabri ◽  
Ruhaidah Samsudin

The accuracy of the wavelet-ARIMA (WA) model in monthly fishery landing forecasting is investigated in the study. In the first part of the study, the discrete wallet transform (DWT) is used to decompose fishery landing time series data. Then ARIMA, as a powerful forecasting tool, is implemented to predict each wavelet transform subseries components independently. Finally, the prediction results of the modeled subseries components are summed to formulate an ensemble forecast for the original fishery landing series. To assess the effectiveness of this model, monthly fishery landing recorded data from East Johor and Pahang states of Peninsular Malaysia have been used as a case study. The result of the study shows that the proposed model was found to provide more accurate fishery landing series forecasts than the individual ARIMA model.


Author(s):  
Chi Kin Chan ◽  
Heung Wong ◽  
Wan Kai Pang ◽  
Marvin D. Troutt

This chapter is a case study in combining forecasts for inventory management in which the need for data mining in combination forecasts is necessary. The need comes from selection of sample items on which forecasting strategy can be made for all items, selection of constituent forecasts to be combined and selection of weighting method for the combination. A leading bank in Hong Kong consumes more than 300 kinds of printed forms for its daily operations. A major problem of its inventory control system for such forms management is to forecast their monthly demand. The bank currently uses simple forecasting methods such as simple moving average and simple exponential smoothing for its inventory demands. In this research, the individual forecasts come from well-established time series models. The weights for combination are estimated with quadratic programming. The combined forecast is found to perform better than any of the individual forecasts. Some insights in data mining for this context are obtained.


2017 ◽  
Vol 15 (1) ◽  
pp. 1-13
Author(s):  
Francois Joubert ◽  
Leon Pretorius

This paper combines various concepts related to (i) project risk management, (ii) Monte Carlo simulation, (iii) project contingency cost estimation, and (iv) the relationship between project and programme risks, to illustrate that the contingency requirements are lower when simulating all the risks in the programme when comparing it with the individual project contingency requirement. A case study organisation provided 86 quantified risk registers related to port and rail capital projects. For each of these risk registers, the project contingency was estimated using a prescribed risk register template and Monte Carlo simulation software. The same 86 quantified risk registers were then used to simulate the programme contingency. The simulation results indicated that the programme contingency requirement was approximately 8% points lower than that of the sum of the individual projects. The first implication of this research result is that, should borrowed capital be used to fund the projects, the interest bill would be higher when calculating project contingency on a project-by-project basis. The second is that regularly appearing low probability, high impact risks, should be identified and these risks should be quantified not in the projects themselves, but in a centrally managed, programme cost contingency fund.


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