The financial and structural capabilities of key infrastructure sectors in Serbia

Context: Pain in sport has been normalized to the point where athletes are expected to ignore pain and remain in the game despite the possible detrimental consequences associated with playing through pain. While rehabilitation specialists may not have an influence on an athlete’s competitive nature or the culture of risk they operate in, understanding the consequences of those factors on an athlete’s physical well-being is definitely in their area of responsibility. Objective: To explore the factors associated with the experiences of subelite athletes who play through pain in gymnastics, rowing, and speed skating. Design: The authors conducted semistructured interviews with subelite athletes, coaches, and rehabilitation specialists. They recruited coach participants through their provincial sport organization. Athletes of the recruited coaches who were recovering from a musculoskeletal injury and training for a major competition were then recruited. They also recruited rehabilitation specialists who were known to treat subelite athletes independently by e-mail. Setting: An observation session was conducted at the athlete’s training facility. Interviews were then conducted either in a room at the university or at a preferred sound-attenuated location suggested by the participant. Participants: The authors studied 5 coaches, 4 subelite athletes, and 3 rehabilitation specialists. Interventions: The authors photographed athletes during a practice shortly before an important competition, and we interviewed all the participants after that competition. Our photographs were used during the interview to stimulate discussion. Results: The participant interviews revealed 3 main themes related to playing through pain. They are: Listening to your body, Decision making, and Who decides. Conclusion: When subelite athletes, striving to be the best in their sport continue to train with the pain of an injury, performance is affected in the short-term and long-term consequences are also possible. Our study provides some insight into the contrasting forces that athletes balance as they decide to continue or to stop.

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Az etopozid szervezeten belüli eloszlásában és metabolizmusában szerepet játszó epigenetikai hatások

Orvosi Hetilap ◽

10.1556/650.2018.31162 ◽

2018 ◽

Vol 159 (32) ◽

pp. 1295-1302

Author(s):

Erika Rozália Kovács ◽

Sára Tóth ◽

Dániel János Erdélyi

Keyword(s):

Topoisomerase Ii ◽

Therapeutic Index ◽

Antitumor Agent ◽

Hematologic Malignancies ◽

Short Term ◽

Drug Dosing ◽

And Personalized Medicine ◽

Insight Into ◽

Pharmacogenomic Studies

Abstract: Etoposide is a topoisomerase II inhibitor antitumor agent which is widely used in the treatment of several hematologic malignancies and solid tumors. The therapeutic index of etoposide is quite high, thus its application causes several short-term and long-term side effects which can decrease the chance to cure patients. Drug dosing is based on body surface area calculation; recommendations for individual dosing do not exist yet. The biotransformation and transportation of etoposide are carried out by enzymes and transporters as reported in pharmacogenomic studies published in this area. Nowadays pharmacoepigenetics research has come to the fore. The authors wish to give an insight into the research of the epigenetical changes of the etoposide pathways, especially focusing on published findings on enzymes and transporters with pharmacokinetic relevance. In the future, epigenetical changes of the etoposide pathway might have a great role in diagnostics, prognostics and personalized medicine. Orv Hetil. 2018; 159(32): 1295–1302.

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E-Impresa

Electronic Services ◽

10.4018/978-1-61520-967-5.ch029 ◽

2010 ◽

pp. 470-485

Author(s):

Habib Sedehi

Keyword(s):

Sustainable Growth ◽

Strategic Decisions ◽

Whole Process ◽

On Line ◽

Business Game ◽

Break Even Point ◽

The Cost ◽

The Web

Electronic commerce, marketing on line, and network economy are today’s keywords of (possible) success. But how many managers effectively know about the cost and benefits of starting to sell their products and services through the Web? How much they should invest at the beginning and how long does it takes to have a break-even point of their investment? In order to give support for better understanding the process of the Web marketing and to have more elements to decide to “dive” or not in this virtual world a System Dynamics (SD) model (Forrester J.W. 1961, 1971, 1980), has been developed. The model has the aim to support strategic decisions for SME involvement in e-Commerce, pointed out to guarantee sustainable growth and medium-long term success. The project e-Impresa1 analyses the whole process of the investment in building and maintaining a web site, taking into account the main variables of E-commerce. Through a case study, a SD business game model has been developed. The model gives the opportunity to users to evaluate different what-if analysis through the simulation period time (2 years) at each model step time (4 weeks). This chapter will explain the overall architecture of the model and will present some results of use of the model in different conditions.

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Intra-arterial chemotherapy for retinoblastoma: an updated systematic review and meta-analysis

Journal of NeuroInterventional Surgery ◽

10.1136/neurintsurg-2019-014909 ◽

2019 ◽

Vol 11 (12) ◽

pp. 1266-1272 ◽

Cited By ~ 6

Author(s):

Krishnan Ravindran ◽

Lauren A Dalvin ◽

Jose S Pulido ◽

Waleed Brinjikji

Keyword(s):

Metastatic Disease ◽

Meta Analysis ◽

Inclusion Criteria ◽

First Line ◽

Short Term ◽

Systemic Complications ◽

Substantial Heterogeneity ◽

Insight Into

Background and purposeIntra-arterial chemotherapy for retinoblastoma has been adopted as a first-line treatment option by numerous tertiary centers. The effect of intra-arterial chemotherapy on future rates of metastatic disease as well as on globe salvage in advanced eyes remains relatively unknown.MethodsA search of PubMED, MEDLINE, EMBASE, and Web of Science electronic databases was conducted from inception until January 2019 for studies with a minimum of 10 patients reporting outcomes and complications following intra-arterial chemotherapy for retinoblastoma.ResultsA total of 20 studies met the inclusion criteria for analysis, comprising 873 patients and 1467 eyes. Only one study was comparative; there was substantial heterogeneity in reported outcomes and several overlapping patient cohorts that were published. Across all studies, 174 of 1467 eyes were enucleated (11.8%). Metastatic disease occurred in 8 of 513 patients (1.6%). Globe salvage was achieved in 318 of 906 (35.6%) cases of advanced retinoblastoma. The most common ocular complication was retinal detachment, occurring in 23% of eyes, and the most common systemic complications were transient fever and nausea/vomiting.ConclusionsThere is a paucity of higher-level evidence with adequate follow-up surrounding the long-term safety of intra-arterial chemotherapy and effect on metastasis in retinoblastoma. Studies to date have been limited by short-term follow-up. Longitudinal prospective studies could provide greater insight into the ability of intra-arterial chemotherapy to reduce the risk of retinoblastoma metastasis.

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The use of borehole inclinometry in determining basal sliding and internal deformation at Haut Glacier d’Arolla, Switzerland

Annals of Glaciology ◽

10.1017/s0260305500012404 ◽

1997 ◽

Vol 24 ◽

pp. 331-337 ◽

Cited By ~ 8

Author(s):

Luke Copland ◽

Jon Harbor ◽

Marie Minner ◽

Martin Sharp

Keyword(s):

Hot Water ◽

Short Term ◽

Digital Inclinometer ◽

Basal Sliding ◽

Internal Deformation ◽

One Year ◽

Annual Scale ◽

Insight Into ◽

Displacement Measurements

A series of boreholes were drilled with high-pressure hot water across a section of Haut Glacier d’Arolla, Switzerland, in summer 1995. Twenty-three of the boreholes were profiled with a digital inclinometer soon aller drilling, and 14 were re-profiled up to 6 weeks later to determine changes in the longitudinal shape of boreholes with time. In addition to the main surveys, three boreholes were surveyed 14 times each to assess the accuracy and reproducibility of inclinometry measurements. These repeat surveys suggest that caution is needed in the interpretation of short-term borehole displacement measurements, and that the reoccupation of boreholes from one year to the next may be a better way to determine patterns of internal deformation and basal sliding. The annual scale may also have advantages in providing more long-term insight into glaciological processes than short term (single season) measurements.

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Adaptive Motor Control During Experiments With Brain Machine Interfaces

Volume 2: Automotive Systems; Bioengineering and Biomedical Technology; Computational Mechanics; Controls; Dynamical Systems ◽

10.1115/esda2008-59185 ◽

2008 ◽

Author(s):

Koren Beiser ◽

Miriam Zacksenhouse

Keyword(s):

Motor Control ◽

Task Performance ◽

Internal Representation ◽

Dimensional Model ◽

Further Training ◽

Short Term ◽

Brain Machine Interfaces ◽

Neural Modulation ◽

Insight Into

Recent experiments with Brain Machine Interfaces indicate that the extent of neural modulations increases abruptly upon starting to operate the interface. In contrast, neural modulations due to the trajectory profile remain relatively unchanged. Furthermore, the enhanced modulations subside with further training, mirroring the trend in task performance, which degraded upon starting to operate the interface and improved gradually with training. Here we investigate the hypothesis that the enhanced modulations reflect internal representation of trajectory errors, which results in corrective commands in the short term and adaptive modifications of internal models in the long term. A simplified uni-dimensional model is analyzed to demonstrate the observed transient enhancement in neural modulations during the operation of Brain machine Interfaces. Identifying the source of the transient enhancement in neural modulation would provide insight into adaptive motor control and facilitate the improvement of future Brain Machine Interfaces.

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E-Impresa

Advances in Business Information Systems and Analytics - Enterprise Information Systems for Business Integration in SMEs ◽

10.4018/978-1-60566-892-5.ch018 ◽

2010 ◽

pp. 326-341

Author(s):

Habib Sedehi

Keyword(s):

Sustainable Growth ◽

Strategic Decisions ◽

Whole Process ◽

On Line ◽

Business Game ◽

Break Even Point ◽

The Cost ◽

The Web

Electronic commerce, marketing on line, and network economy are today’s keywords of (possible) success. But how many managers effectively know about the cost and benefits of starting to sell their products and services through the Web? How much they should invest at the beginning and how long does it takes to have a break-even point of their investment? In order to give support for better understanding the process of the Web marketing and to have more elements to decide to “dive” or not in this virtual world a System Dynamics (SD) model (Forrester J.W. 1961, 1971, 1980), has been developed. The model has the aim to support strategic decisions for SME involvement in e-Commerce, pointed out to guarantee sustainable growth and medium-long term success. The project e-Impresa1 analyses the whole process of the investment in building and maintaining a web site, taking into account the main variables of E-commerce. Through a case study, a SD business game model has been developed. The model gives the opportunity to users to evaluate different what-if analysis through the simulation period time (2 years) at each model step time (4 weeks). This chapter will explain the overall architecture of the model and will present some results of use of the model in different conditions.

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The use of borehole inclinometry in determining basal sliding and internal deformation at Haut Glacier d’Arolla, Switzerland

Annals of Glaciology ◽

10.3189/s0260305500012404 ◽

1997 ◽

Vol 24 ◽

pp. 331-337 ◽

Cited By ~ 1

Author(s):

Luke Copland ◽

Jon Harbor ◽

Marie Minner ◽

Martin Sharp

Keyword(s):

Hot Water ◽

Short Term ◽

Digital Inclinometer ◽

Basal Sliding ◽

Internal Deformation ◽

One Year ◽

Annual Scale ◽

Insight Into ◽

Displacement Measurements

A series of boreholes were drilled with high-pressure hot water across a section of Haut Glacier d’Arolla, Switzerland, in summer 1995. Twenty-three of the boreholes were profiled with a digital inclinometer soon aller drilling, and 14 were re-profiled up to 6 weeks later to determine changes in the longitudinal shape of boreholes with time. In addition to the main surveys, three boreholes were surveyed 14 times each to assess the accuracy and reproducibility of inclinometry measurements. These repeat surveys suggest that caution is needed in the interpretation of short-term borehole displacement measurements, and that the reoccupation of boreholes from one year to the next may be a better way to determine patterns of internal deformation and basal sliding. The annual scale may also have advantages in providing more long-term insight into glaciological processes than short term (single season) measurements.

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A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus

Sustainability ◽

10.3390/su12093612 ◽

2020 ◽

Vol 12 (9) ◽

pp. 3612 ◽

Cited By ~ 3

Author(s):

Davut Solyali

Keyword(s):

Machine Learning ◽

Power Generation ◽

Historical Data ◽

Sustainable Growth ◽

Solar Irradiation ◽

Support Vector ◽

Short Term ◽

Inference System ◽

Electricity Load

Estimating the electricity load is a crucial task in the planning of power generation systems and the efficient operation and sustainable growth of modern electricity supply networks. Especially with the advent of smart grids, the need for fairly precise and highly reliable estimation of electricity load is greater than ever. It is a challenging task to estimate the electricity load with high precision. Many energy demand management methods are used to estimate future energy demands correctly. Machine learning methods are well adapted to the nature of the electrical load, as they can model complicated nonlinear connections through a learning process containing historical data patterns. Many scientists have used machine learning (ML) to anticipate failure before it occurs as well as predict the outcome. ML is an artificial intelligence (AI) subdomain that involves studying and developing mathematical algorithms to understand data or obtain data directly without relying on a prearranged model algorithm. ML is applied in all industries. In this paper, machine learning strategies including artificial neural network (ANN), multiple linear regression (MLR), adaptive neuro-fuzzy inference system (ANFIS), and support vector machine (SVM) were used to estimate electricity demand and propose criteria for power generation in Cyprus. The simulations were adapted to real historical data explaining the electricity usage in 2016 and 2107 with long-term and short-term analysis. It was observed that electricity load is a result of temperature, humidity, solar irradiation, population, gross national income (GNI) per capita, and the electricity price per kilowatt-hour, which provide input parameters for the ML algorithms. Using electricity load data from Cyprus, the performance of the ML algorithms was thoroughly evaluated. The results of long-term and short-term studies show that SVM and ANN are comparatively superior to other ML methods, providing more reliable and precise outcomes in terms of fewer estimation errors for Cyprus’s time series forecasting criteria for power generation.

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Superiority of Mild Interventions against COVID-19 on Public Health and Economic Measures

Journal of Personalized Medicine ◽

10.3390/jpm11080719 ◽

2021 ◽

Vol 11 (8) ◽

pp. 719

Author(s):

Makoto Niwa ◽

Yasushi Hara ◽

Yusuke Matsuo ◽

Hodaka Narita ◽

Yeongjoo Lim ◽

...

Keyword(s):

Public Health ◽

Flow Model ◽

Quantitative Modeling ◽

Loop Analysis ◽

Short Term ◽

Tokyo Metropolitan Area ◽

Causal Loop ◽

Global Spread ◽

Insight Into

(1) Background: During the global spread of COVID-19, Japan has been among the top countries to maintain a relatively low number of infections, despite implementing limited institutional interventions and its high population density. This study investigated how limited intervention policies have affected public health and economic conditions in the COVID-19 context and aimed to gain insight into the effective and sustainable measures against new infectious diseases in densely inhabited areas. (2) Methods: A system dynamics approach was employed. Qualitative causal loop analysis and stock and quantitative flow model analysis were performed, using a Tokyo Metropolitan area dataset. (3) Results: A causal loop analysis suggested that there were risks in prematurely terminating such interventions. Based on this result and the subsequent quantitative modeling, we found that the short-term effectiveness of a short-term pre-emptive stay-at-home request caused a resurgence in the number of positive cases, whereas an additional request provided a limited negative add-on effect for economic measures (e.g., number of electronic word-of-mouth communications and restaurant visits). (4) Conclusions: These findings suggest the superiority of a mild and continuous intervention as a long-term countermeasure under epidemic pressures when compared with strong intermittent interventions.

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