Introduction. The analysis of experience in changing approaches to organizing medical care for combat eye injuries, changing treatment tactics for such patients during armed conflicts in the 20th and ...21st centuries, domestic experience in providing medical care for eye and its adnexal injuries, highlights the search for informative methods of predicting long-term outcomes of the applied treatment methods.
The aim of the study was to determine the informativeness of constructing a forecast of functional changes of the visual analyzer based on the results of treatment of patients with eye injuries during dynamic retrospective observation.
Materials and Methods: The primary material for the study was medical documentation of combat eye injury patients (data from medical histories, outpatient cards, and discharge summaries) for the period of 2014-2015, who were treated at the National Military Medical Clinical Center "Main Military Clinical Hospital" (NMMCC "MMCH"). Indicators of the functional state of the visual analyzer were evaluated upon admission to the NMMCC "MMCH" and after 180 days following the injury. The study used the proposed F. Kuhn and colleagues' scale for evaluating long-term treatment outcomes (OTS-Ocular Trauma Score).
Results. It was found that overall, the results of treatment for combat eye injuries and their adnexa at the NMMCC "MMCH" during the study period of 2014-2015 showed a high correlation with the calculated values of the probability of preserving visual functions according to the OTS scale. Almost all patients with a case of blindness remained blind in the injured eye six months later. In the group with light projection and movement of the hand near the face, an improvement in visual function in most cases (65%) was noted, while, according to the OTS scale, these patients in most cases remain in this group or move to the group with blindness. Cases with visual acuity of 0.005-0.1 after 6 months improve visual acuity with the transition in most cases to 0.1 and above. The same trend, but, as expected, with a higher probability in groups with visual acuity of 0.1-0.4 and above 0.5. The identified discrepancies justify the need for adaptation of the OTS scale for predicting functional changes in combat eye injuries, as it has been developed for use in eye injuries during peacetime.
Conclusion: Considering the large number of wounded soldiers with severe eye injuries during the war with rf, scientific research on the implementation of a system for predicting long-term functional outcomes of the treatment of combat eye trauma based on clinical data at the time of initial examination remains relevant. The results obtained with the OTS (Ocular Trauma Score) assessment scale in most cases correspond to the results of the treatment of injured patients in the ophthalmology clinic of the NMMCC "MMCH" in 2014-2015. Further development of the existing OTS system and its adaptation to domestic conditions and the realities of providing ophthalmic care for combat eye trauma is promising for further study.
•We proposed a systematic mathematical definition of Fuzzy Recommender Systems.•Some algebraic operations accompanied with their properties were described.•We proposed a novel hybrid user-based fuzzy ...collaborative filtering method.•This algorithm obtained better accuracy than the relevant fuzzy filtering methods.•An application for the football results prediction was illustrated.
Recommender Systems (RS) have been being captured a great attraction of researchers by their applications in various interdisciplinary fields. Fuzzy Recommender Systems (FRS) is an extension of RS with the fuzzy similarity being calculated based on the users’ demographic data instead of the hard user-based degree. Based upon the observations that the FRS researches did not offer a mathematical definition of FRS accompanied with its algebraic operations and properties, and the fuzzy similarity degree is not enough to express accurately the analogousness between users, in this paper we will present a systematic mathematical definition of FRS including theoretical analyses of algebraic operations and properties and propose a novel hybrid user-based fuzzy collaborative filtering method that integrates the fuzzy similarity degrees between users based on the demographic data with the hard user-based degrees calculated from the rating histories into the final similarity degrees in order to obtain high accuracy of prediction. Experimental results on some benchmark datasets show that the proposed method obtains better accuracy than other relevant methods. Lastly, an application for the football results prediction is given to illustrate the uses of the proposed method.
Barbosa examines the performance of Team Portugal at the 2020 Tokyo Summer Olympic Games in Japan. Even though all the hiccups, constraints, and challenges imposed by the COVID-19 pandemic, the Games ...were successfully held in August 2021. For the first time in history, Team Portugal won four medals (one gold, one silver, and two bronzes). In 2018 the Portuguese Olympic Committee signed a contract with the Portuguese Institute of Sport and Youth (i.e.,Portuguese government) listing the deliverables of the mission Tokyo 2020 against a funding scheme of 18.5 million euros.
The aim of the study is to identify the most common minor malformations encountered in the inner ear and cochlear nerve in patients with profound bilateral sensorineural hearing loss (SNHL) of ...unspecified cause. Material and method Images obtained by CT scan were compared in a control group and a group of patients with bilateral profound SNHL of unspecified cause, to detect the most common anatomical changes in the inner ear and cochlear nerve. Results and discussions. Inner ear malformations come in a variety of forms from complete aplasia to subtle hypoplasia of some inner ear elements and adjacent nervous structures contained in the internal auditory canal. Statistics descriptive parameters calculation were obtained for the two groups for each item measured for each ear separately. The existence of anatomical malformations of the inner ear was one proposed factor to be influencing the results after cochlear implantation, but an exact prediction is difficult as there are different other variables involved. Conclusions. Simple visual inspection of CT images proves to be insufficient in delivering the best individualized treatment in the pathology of inner ear.
The paper addresses relations between the characteristics of body composition in international sprint swimmers and sprint performance. The research included 82 swimmers of international level (N = 46 ...male and N = 36 female athletes) from 8 countries. We measured body composition using multifrequency bioelectrical impedance methods with "InBody 720" device. In the case of male swimmers, it was established that the most important statistically significant correlation with sprint performance is seen in variables, which define the quantitative relationship between their fat and muscle with the contractile potential of the body (Protein-Fat Index, r = 0.392,
= 0.007; Index of Body Composition, r = 0.392,
= 0.007; Percent of Skeletal Muscle Mass, r = 0.392,
= 0.016). In the case of female athletes, statistically significant relations with sprint performance were established for variables that define the absolute and relative amount of a contractile component in the body, but also with the variables that define the structure of body fat characteristics (Percent of Skeletal Muscle Mass, r = 0.732,
= 0.000; Free Fat Mass, r = 0.702,
= 0.000; Fat Mass Index, r = -0.642,
= 0.000; Percent of Body Fat, r = -0.621,
= 0.000). Using Multiple Regression Analysis, we managed to predict swimming performance of sprint swimmers with the help of body composition variables, where the models defined explained 35.1 and 75.1% of the mutual variability of performance, for male and female swimmers, respectively. This data clearly demonstrate the importance of body composition control in sprint swimmers as a valuable method for monitoring the efficiency of body adaptation to training process in order to optimize competitive performance.
No method preoperatively predicts the postoperative bariatric surgery outcomes in individual patients. Decisions for or against surgery and operation choice remain subjective. Only 1% of qualifying ...patients embrace bariatric surgery.
To predict preoperatively and validate prospectively the weight and co-morbidity resolution in individual patients after open Roux-en-Y gastric bypass (RYGB) and laparoscopic Roux-en-Y gastric bypass (LRYGB), laparoscopic adjustable gastric band (LAGB), sleeve gastrectomy (SG), and biliopancreatic diversion/duodenal switch (BPD/DS).
Surgical Review Corporation BOLD database, 2007-2010.
A total of 166,601 patients who had undergone RYGB (n = 5389), LRYGB (n = 83,059), LAGB (n = 67,514), SG (n = 8966), or BPD/DS (n = 1673) were randomized into modeling (n = 124,053) and validation (n = 42,548) groups. From preoperative data, multivariate linear and logistic regression predicted weight and co-morbidities at 2, 6, 12, 18, and 24 months postoperatively. Model fit was examined by R
and receiver operating characteristic/area under the curve and predicted versus observed results via Pearson correlation coefficient and sensitivity/specificity.
Follow-up at 2/24 months was 120,909/11,014 for the modeling group and 41,528/3703 for validation. Weight models' R
was .910, .813, .725, .638, and .613 at 2, 6, 12, 18, and 24 months, respectively. The categorical receiver operating characteristic/area under the curve was .617 to .949 for 24-month predictions. Pearson continuous coefficients were .969 and .811 at 2 and 24 months, respectively. The median 24-month sensitivity and specificity of co-morbidity resolution were 79.2% and 97.42%, respectively.
Prospectively validated preoperative models predict, in individual patients, weight and obesity co-morbidities 2 years in advance for RYGB, LRYGB, LAGB, SG, and BPD/DS. This advance knowledge facilitates choosing the operation that is best for each individual and may encourage more patients to choose bariatric surgery.
Modeling of real physical processes by numerical methods is highly time-consuming and requires significant computational capacity. In some cases, tens or even hundreds of hours of high-power ...computing are needed to virtually model a real process that lasts one second. Processes that take many hours, such as drying, pose an even greater challenge. This problem can be solved in two ways: by using faster computers (such as computing clusters) or by significantly simplifying the modeled process (its geometry, physical phenomena, or the impact of individual factors). For this reason, all methods which speed up or minimize the number of simulations required to achieve the research objective should be analyzed. This article focuses on the latter approach, and it proposes a simple method for predicting the responses of a numerical model (values of any output parameter) to changes in input values (values of any input parameter). This method requires a base model, such as a numerical model which is qualitatively and quantitatively consistent with experimental observations, and a sensitivity analysis. This article discusses the mathematical and logical premises for the discussed model, and it proposes two methods for predicting numerical simulation results. Those methods are illustrated with examples which analyze the behavior of the Eulerian Multiphase Model and describe phase interactions based on Gidaspow's approach. The discussed example relies on data from a series of articles published by the authors in Drying Technology. This article was inspired by the observations made during a time-consuming process of modeling a spouted bed grain dryer, which was described in the above publications. The objective of this study was to discuss the advantages and possibilities created by sensitivity analyses of numerical models and to encourage their practical application.
This research is motivated by the poor performance of student learning, especially on the subjects of PAI. For that research by applying the prediction strategy guide. This study aims to improve ...learning outcomes PAI. This study is a class action, which was held in SDN 003 Pagaran Tapah Darussalam, the subject of this research is class III with a number of 18 students. This research was conducted in July to finish. This study was conducted in two cycles, each cycle consists of four stages: planning, implementation, observation, and reflection. The study states that PAI learning outcomes of students has increased in each cycle At the beginning of the data on average student learning outcomes was 56.7% in the medium category. In the first cycle of student learning outcomes has reached 63.9%, in the second cycle, student learning outcomes achieved quite satisfactory to reach 73.3%. This situation shows that the improvement of learning on the subjects of PAI through your prediction strategy was successful, with the thoroughness of individuals and groups of up to 70%.
People—especially Americans—are by and large optimists. They're much better at imagining best-case scenarios (I could win the lottery!) than worst-case scenarios (A hurricane could destroy my ...neighborhood!). This is true not just of their approach to imagining the future, but of their memories as well: people are better able to describe the best moments of their lives than they are the worst. Though there are psychological reasons for this phenomenon, Karen A.Cerulo, in Never Saw It Coming, considers instead the role of society in fostering this attitude. What kinds of communities develop this pattern of thought, which do not, and what does that say about human ability to evaluate possible outcomes of decisions and events? Cerulo takes readers to diverse realms of experience, including intimate family relationships, key transitions in our lives, the places we work and play, and the boardrooms of organizations and bureaucracies. Using interviews, surveys, artistic and fictional accounts, media reports, historical data, and official records, she illuminates one of the most common, yet least studied, of human traits—a blatant disregard for worst-case scenarios. Never Saw It Coming, therefore, will be crucial to anyone who wants to understand human attempts to picture or plan the future.
Mining democracy Etter, Vincent; Herzen, Julien; Grossglauser, Matthias ...
Proceedings of the second ACM conference on Online social networks,
10/2014
Conference Proceeding
Odprti dostop
Switzerland has a long tradition of direct democracy, which makes it an ideal laboratory for research on real-world politics. Similar to recent "open government" initiatives launched worldwide, the ...Swiss government regularly releases datasets related to state affairs and politics. In this paper, we propose an exploratory, data-driven study of the political landscape of Switzerland, in which we use opinions expressed by candidates and citizens on a web platform during the recent Swiss parliamentary elections, together with fine-grained vote results and parliament votes.
Following this purely data-driven approach, we show that it is possible to uncover interesting patterns that would otherwise require both tedious manual analysis and domain knowledge. In particular, we show that traditional cultural and/or ideological idiosyncrasies can be highlighted and quantified by looking at vote results and pre-election opinions. We propose a technique for comparing the candidates' opinions expressed before the elections with their actual votes cast in the parliament after the elections. This technique spots politicians that do not vote consistently with the opinions that they expressed during the campaign. We also observe that it is possible to predict surprisingly precisely the outcome of nationwide votes, by looking at the outcome in a single, carefully selected municipality. Our work applies to any country where similar data is available; it points to some of the avenues created by user-generated data emerging from open government initiatives, which enable new data-mining approaches to political and social sciences.
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