Naked statistical evidence and incentives for lawful conduct

2020 ◽  
Vol 24 (2) ◽  
pp. 162-179
Author(s):  
Christian Dahlman
Keyword(s):  
Evidence Theory ◽  
Statistical Evidence ◽  
Incentive Structure ◽  
Different Characteristics ◽  
Lawful Conduct

The problem of ‘naked statistical evidence’ is one of the most debated issues in evidence theory. Most evidence scholars agree that it is deeply problematic to base a verdict on naked statistical evidence, but they disagree on why it is problematic, and point to different characteristics of naked statistical evidence as the root of the problem. In this article, the author discusses the merits of different solutions to the problem of naked statistical evidence, and argues for the incentive-solution: verdicts based on naked statistical evidence are unacceptable as they do not contribute in a positive way to the incentive structure for lawful behaviour.

The Problem with Naked Statistical Evidence

2021 ◽  
pp. 332-346
Author(s):  
Christian Dahlman ◽  
Amit Pundik
Keyword(s):  
Free Will ◽  
Statistical Evidence ◽  
Moral Problem ◽  
New Approaches ◽  
Different Characteristics ◽  
Lawful Conduct

There has been much debate over the value of naked statistical evidence (NSE). However, while most scholars agree that it is problematic to base a verdict on NSE, they disagree on why it is problematic, pointing to different characteristics of NSE as the root of the problem. In the last decade, the debate has been energized by publications that propose a number of new approaches. This chapter joins the most recent debates on NSE—in particular, the objections to naked statistics based upon sensitivity, normalcy, incentives for lawful conduct, and free will. The authors argue that the problem of NSE is not an epistemic one, as some assume, but is actually a moral problem.

Design of Onboard Device to Diagnose Track Fault Online

2013 ◽  
Vol 483 ◽  
pp. 465-470
Author(s):  
Long Qin ◽  
Dong Wei ◽  
Yan Bo Sun
Keyword(s):  
Fault Diagnosis ◽  
Time Domain ◽  
Evidence Theory ◽  
Vibration Signal ◽  
Detection Algorithm ◽  
Lateral Acceleration ◽  
Source Information ◽  
Rail Irregularities ◽  
Alarm Message ◽  
Different Characteristics

The paper focuses on the design of an onboard track fault diagnosis device for advanced railway condition monitoring which can be mounted on in-service vehicle. Track faults are diagnosed from the vertical and lateral acceleration of axle-box, bogie and car-body with different characteristics. As vibration signal in time-domain will not represent the condition of the track obviously, the signal is transformed into frequency-domain first. Then PCA and SVM are used to calculate probabilities of fault tracks. At last, The D-S evidence theory is employed in the track fault diagnosis to fuse multi-source information. When fault is detected, alarm message will be sent to the monitoring center of the system to ensure the safety of the following vehicles. Experiments which use three accelerometer signals in different positions as mentioned above from the inspection vehicle were carried out to show that the detection algorithm is effective to estimate the rail irregularities and diagnose track faults.

Antithrombin Activity of Intact Human Platelets

1975 ◽  
Vol 34 (01) ◽  
pp. 115-126 ◽  
Author(s):  
Kiyoake Watanabe ◽  
Francis C Chao ◽  
James L Tullis
Keyword(s):  
Antithrombin Iii ◽  
Human Platelets ◽  
Significant Loss ◽  
Red Cells ◽  
Antithrombin Activity ◽  
Α2 Macroglobulin ◽  
Rapid Reaction ◽  
Pre Treatment ◽  
Different Characteristics

SummaryAntithrombin activity has been identified in intact washed human platelets. An apparent activity was demonstrated at platelet concentrations above 0.31 × 109/ml, when platelet suspensions were incubated with 2.0 NIH units/ml of thrombin. Neither red cells nor white cells revealed antithrombin activity. No significant loss of the platelet antithrombin activity was observed after ten successive washings or after treatment of platelets with antibodies to antithrombin III or α2-macroglobulin. Almost the same amount of antithrombin activity as normal platelets was demonstrated in the platelets from an afibrinogenemic patient. Pre-treatment of platelets with trypsin, papain, and neuroaminidase reduced the activity significantly, whereas lipase was without effect. The platelet antithrombin reacted with thrombin in less than 3 seconds, and this rapid reaction of platelet antithrombin was different from that of plasma antithrombin III or fibrinogen. The thrombin-like clotting activity of ancrod was inhibited by fibrinogen but not platelets. Also, unlike plasma antithrombin III or fibrinogen, brief exposure to heat (56° C or 60° C) reduced considerable amounts of platelet antithrombin activity. These results suggest that platelets possess a specific antithrombin with different characteristics from other known antithrombins.

Contract institutions in the Russian economy: The sphere of state, municipal, and regulated procurement

2017 ◽  
pp. 93-110 ◽  
Author(s):  
O. Anchishkina
Keyword(s):  
Economic Growth ◽  
Theoretical Model ◽  
Market Structure ◽  
Market Equilibrium ◽  
Statistical Evidence ◽  
Market Model ◽  
Market Behavior ◽  
Database Analysis ◽  
Russian Economy ◽  
Contracting Model

The article synthesizes information on database analysis of state, municipal, and regulated procurement through which Russian contract institutions and the market model are investigated. The inherent uncertainty of quantity indicators on contracting activities and process is identified and explained. The article provides statistical evidence for heterogeneous market structure in state and municipal procurement, and big player’s dominance. A theoretical model for market behavior, noncooperative competition and collusion is proposed, through which the major trends are explained. The intrinsic flaws and failure of the current contracting model are revealed and described. This ineffectiveness is regarded to be not a limitation, but a challenge to be met. If responded to, drivers for economic growth and market equilibrium will be switched on.

MONITORING OF OPERATIONAL LOGISTIC PROCESSES IN GENERAL CARGO WAREHOUSES USING PREDICTIVE ANALYSIS

2019 ◽  
Vol 13 (1) ◽  
pp. 27-36
Author(s):  
Andreas Neubert
Keyword(s):  
Data Mining ◽  
Human Error ◽  
Predictive Analysis ◽  
Data Mining Algorithm ◽  
It Infrastructure ◽  
Monitoring Procedure ◽  
Manual Recording ◽  
Mining Tool ◽  
General Cargo ◽  
Different Characteristics

Due to the different characteristics of the piece goods (e.g. size and weight), they are transported in general cargo warehouses by manually-operated industrial trucks such as forklifts and pallet trucks. Since manual activities are susceptible to possible human error, errors occur in logistical processes in general cargo warehouses. This leads to incorrect loading, stacking and damage to storage equipment and general cargo. It would be possible to reduce costs arising from errors in logistical processes if these errors could be remedied in advance. This paper presents a monitoring procedure for logistical processes in manually-operated general cargo warehouses. This is where predictive analysis is applied. Seven steps are introduced with a view to integrating predictive analysis into the IT infrastructure of general cargo warehouses. These steps are described in detail. The CRISP4BigData model, the SVM data mining algorithm, the data mining tool R, the programming language C++ for the scoring in general cargo warehouses represent the results of this paper. After having created the system and installed it in general cargo warehouses, initial results obtained with this method over a certain time span will be compared with results obtained without this method through manual recording over the same period.

GRANOLA BAR YANG DIFORTIFIKASI DENGAN PROTEIN DAGING KERANG SEBAGAI SNACK SEHAT BAGI ANAK BERKEBUTUHAN KHUSUS

EKOLOGIA ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 78-82
Author(s):  
Sata Yoshida Srie Rahayu ◽  
Tri Aminingsih ◽  
Yulianita .
Keyword(s):  
Special Needs ◽  
Analysis Of Variance ◽  
Research Method ◽  
Nutritional Value ◽  
Food Products ◽  
Children With Special Needs ◽  
Organoleptic Test ◽  
Anodonta Woodiana ◽  
Different Characteristics

Flour of Anodonta woodiana meat may be added in the manufacture of food products such as granola bar. The aim of addition is to increase the nutritional value on snacks needed by children with special needs through fortification. This research method was done by making products granola bar in three formulas: without the addition of shells flour, the addition of 2.8 gram, and 5.6 gram. Granola bar were made for consumption by children (7-9 years old) and teenager (10-18 years old). Tests performed included organoleptic test. The results of organoleptic test between three formulas of produced granola bar have different characteristics in flavor parameter. The results of the analysis of parameters of color, aroma, and flavor tested by analysis of variance software showed that the most preferred formula is the second formula with the addition 2.8 gram of mussel meat flour. This granola bar snack is a healthy snack that is safe for consumption by children with special needs, because it is made from ingredients that do not contain flavorings, dyes and artificial preservatives.

Comparison of Meta-heuristic Algorithms on Benchmark Functions

2019 ◽  
Vol 2 (3) ◽  
pp. 508-517
Author(s):  
FerdaNur Arıcı ◽  
Ersin Kaya
Keyword(s):  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Optimization Algorithms ◽  
Gravitational Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Time Interval ◽  
Bee Colony ◽  
Different Characteristics

Optimization is a process to search the most suitable solution for a problem within an acceptable time interval. The algorithms that solve the optimization problems are called as optimization algorithms. In the literature, there are many optimization algorithms with different characteristics. The optimization algorithms can exhibit different behaviors depending on the size, characteristics and complexity of the optimization problem. In this study, six well-known population based optimization algorithms (artificial algae algorithm - AAA, artificial bee colony algorithm - ABC, differential evolution algorithm - DE, genetic algorithm - GA, gravitational search algorithm - GSA and particle swarm optimization - PSO) were used. These six algorithms were performed on the CEC’17 test functions. According to the experimental results, the algorithms were compared and performances of the algorithms were evaluated.

Clinical and sonological features in endometriomas in women of reproductive age

2016 ◽  
pp. 85-89
Author(s):  
О. Shapoval ◽  
Keyword(s):  
Endometrial Hyperplasia ◽  
Benign Tumor ◽  
Pain Syndrome ◽  
Reproductive Age ◽  
Control Group ◽  
Women Of Reproductive Age ◽  
Ovarian Endometriosis ◽  
Gynecological Examination ◽  
Different Characteristics ◽  
Ovarian Endometriomas

The objective: to study the prevalence of ovarian endometriosis in women of reproductive age, the features of clinical and ultrasound picture of endometriosis. Patients and methods. The study involved 22 patients with endometriomas, the control group – 50 women gynecological and somatically healthy. Results. The incidence of ovarian endometriomas in the structure of benign tumor-like formations of ovaries is 0.62%. In 72.73% of ovarian endometriomas occur on a background of concomitant gynecological pathology. Clinically, in 77.27% of cases there is a pain syndrome, in 59.09% – algomenorrhea, in 13.64% – infertility; 18.18% of cases endometriomas remain «dumb» and proceed with the erased clinical picture. Sonologically in patients with endometriomas adenomyosis, endometrial hyperplasia, changes in the contralateral ovary are determined. Conclusion. Without additional methods of diagnostic gynecological examination may identify the 3 cm tumor-like formation of the ovary with different characteristics, which does not allow to differentiate endometrioma from inflammation, functional and ovarian tumors. Ultrasound can diagnose pathological ovarian formation of 1 cm, detailing the nature of the cyst. Key words: endometriosis, reproductive age, retrospective analysis, ultrasound.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

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