Research on the Problems and Governance of Live E-commerce Based on Blockchain Technology

With the advent of the digital age, new e-commerce formats emerge one after another. As a new mode of e-commerce, live e-commerce plays an important role in helping economic development and increasing social welfare. Based on the current research situation of live broadcast e-commerce, this paper analyzes the problems of irregular behavior and ineffective supervision in the operation of live broadcast e-commerce, and puts forward that the government should strengthen the legislation of live broadcast e-commerce and rationally use blockchain to provide technical support to the government and regulatory agencies, aiming at standardizing the behavior of live broadcast e-commerce and promoting the sound development of live broadcast e-commerce.

Characteristics and Outcomes of Individuals Engaging in USMLE Irregular Behavior, 2006–2015

ABSTRACT Medical licensing authorities and other entities utilize and rely on the United States Medical Licensing Examination (USMLE) as a standardized, valid and reliable tool to assess physicians’ knowledge and skills. As such, engaging in irregular behavior during the USMLE process can have a broad and damaging impact on an individual’s ability to complete the USMLE sequence and subsequently obtain a medical license in the United States. While there are also repercussions for the USMLE program and entities overseeing medical students and physicians, the risk to the public of being cared for by someone who did not pass a medical licensing examination by his or her own merit is of great concern. This study reviews data about individuals who engaged in irregular behavior, common sanctions taken against them and their ability to ultimately practice medicine in the United States. Using data from the Federation of State Medical Boards (FSMB) and the National Board of Medical Examiners (NBME), individuals with findings of irregular behavior as part of the USMLE application and/or testing process between 2006 to 2015 were identified, along with their corresponding demographic, examination, sanction and licensure outcome data. A total of 165 individuals were found to have engaged in 170 incidents of irregular behavior. The majority of individuals were male (63%, n = 101), international medical graduates (69%, n = 112) and had a mean age of 33 years old (SD = 8 years, n = 161) at the first incident or finding of irregular behavior. The two most common types of irregular behavior were falsified information (31%, n = 53) and security violations (27%, n = 46). Most incidents (86%, n = 146) were reported to the FSMB Physician Data Center (PDC) and 68% (n = 116) involved a bar from taking the USMLE for a period of time. Only 26% (n = 43) of individuals ultimately passed the entire USMLE sequence and 16% (n = 27) obtained a full, unrestricted medical license in the U.S. by 2019. To help maintain the integrity of a key component for initial licensure in the United States, there is a continued need for rigorous enforcement and safeguarding of USMLE examination applications, content, testing conditions and score reports. Individuals who plan on taking the USMLE should become familiar with USMLE rules and penalties regarding irregular behavior, including the serious implications of such behavior that can severely diminish their ability to practice medicine in the United States. Entities using USMLE information for licensure or admission into medical-related programs need to diligently ensure authentication of USMLE documents and carefully consider if individuals who have engaged in irregular behavior are qualified to practice medicine.

Aberrant Behavior of Employees at Workplace: Conceivable Reasons, Effects and Remedies in Teachings of Qur’ān

Organizations are always concerned with the behavior of employees. The loyal and positive behavior of employees results in maximum output. It is generally observed that sometimes unwanted response from the employer nourishes the internal anger to the employee.The researchers have conclusively described that such unexpected reaction directly impacts the thinking of an individual causing anxiety and uneasiness in behavior. It gradually becomes a reason for many unwanted incidences by violation of legal and ethical policies.It also affects his interaction with his employer, colleagues, and the property at work place accordingly. Unfortunately, it cannot be denied that extensive research has been done in Psychiatry on finding numerous therapies to treat such kinds of behaviors. However, it is also evident that religion has always had strong effects on human psychology.The faith is directly connected with the will of an individual. Therefore, if an anxious employee is recommended to take guidance from the teachings of the Holy Qur’ān, it will certainly help him to overcome his psychological issues. This research is based upon the possible reasons of irregular behavior, its effects on the workplace environment, and how the teachings of the Holy Qur’ān can be used to rehabilitate affected employees.

Innovative Technology for Modeling Cancer Grow Regulatory Mechanisms with Taking into Account Micro-RNA Action

This article is devoted to modeling regulatory mechanisms of human molecular-genetic systems activity during cancer origin and development with taking into account non-coding circulating regulators. The paper draws on results made by using methods of quantitative and qualitative analysis of functional-differential equations. Computational experiments have shown that for certain values of internal and external states there are the following regimes: programmed cell death (apoptosis), stationary state, self-oscillations, irregular behavior (cancerous growths) and a sharp destructive change - the “black hole” effect (metastasis) in depending on various concentrations of micro-RNA. The paper provides a new mathematical and computer models able to describe regulatory mechanisms of cancer taking into account spatial and temporal relations.

Optimizing Interaction Parameters of Various Thermodynamics Models using MATLAB to Estimate Activity Coefficients of Azeotropic Mixtures

The calculation of the liquid-vapor phase equilibrium conditions in multicomponent mixtures is a subject of general interest for engineering. So in this article, interaction parameters of various thermodynamics models are optimized using MATLAB and the vapor-liquid equilibrium conditions are estimated through the application of the modified Raoult’s equation. Activity coefficients of azeotropic mixtures are also estimated. The application of conventional models is restricted for those systems that exhibit irregular behavior, that is, they form azeotropic. In these cases, the validity of these models is limited since the experimental data is not satisfactorily explained. The UNIFAC model completely explains the experimental data of non-ideal systems quite well.

Multi-wavelength variability of the young solar analog ι Horologii

Context. Chromospheric activity cycles are common in late-type stars; however, only a handful of coronal activity cycles have been discovered. ι Hor is the most active and youngest star with known coronal cycles. It is also a young solar analog, and we are likely facing the earliest cycles in the evolution of solar-like stars, at an age (~600 Myr) when life appeared on Earth. Aims. Our aim is to confirm the ~1.6 yr coronal cycle and characterize its stability over time. We use X-ray observations of ι Hor to study the corona of a star representing the solar past through variability, thermal structure, and coronal abundances. Methods. We analyzed multi-wavelength observations of ι Hor using XMM-Newton, TESS, and HST data. We monitored ι Hor throughout almost seven years in X-rays and in two UV bands. The summed RGS and STIS spectra were used for a detailed thermal structure model, and the determination of coronal abundances. We studied rotation and flares in the TESS light curve. Results. We find a stable coronal cycle along four complete periods, more than covered in the Sun. There is no evidence for a second longer X-ray cycle. Coronal abundances are consistent with photospheric values, discarding any effects related to the first ionization potential. From the TESS light curve we derived the first photometric measurement of the rotation period (8.2 d). No flares were detected in the TESS light curve of ι Hor. We estimate the probability of having detected zero flares with TESS to be ~2%. Conclusions. We corroborate the presence of an activity cycle of ~1.6 yr in ι Hor in X-rays, more regular than its Ca II H&K counterpart. A decoupling of the activity between the northern and southern hemispheres of the star might explain the disagreement. The inclination of the system would result in an irregular behavior in the chromospheric indicators. The more extended coronal material would be less sensitive to this effect.

Behavior Prophecy of Stock Trader using Machine Learning Techniques

The web utilization by users is expanding very rapidly. Users are getting to data and administrations effectively through different media like social correspondence, sight and sound substance, web based trading, banking administrations and so forth. It winds up provoking undertaking to precisely recognize and separate typical and suspicious human behavior conduct. Every unique application need to predict user behavior to forecast and upgrade their administration quality. This work gives the examination of stock trader conduct recognition and expectation. Many Machine Learning (ML) methods and recognizable proof strategies are looked at and examined for stock trader behavior analysis. Their parameters are considered and enhancements are recommended. The proposed procedure portrays stock trader conduct discovery framework. The vital segment examination is the classification and prediction technique used to recognize and understand the typical and irregular behavior of the stock trader.

An Analysis of Factors Influencing Disaster Mobility Using Location Data from Smartphones: Case Study of Western Japan Flooding

Western Japan was hit by heavy rain from June 8 to July 28, 2018. Record-breaking rain caused nearly all rivers to flood in Hiroshima and other areas. Over 200 people died following this disaster. Authorities attempted to understand why evacuation was not conducted swiftly enough to stop these deaths. They mentioned that normalcy bias and cognitive dissonance are two primary causes of significant damage [1]. Moreover, an effective alert system is necessary to ensure that evacuation behaviors and procedures are incited at the appropriate time. To understand the factors that influence people’s behavior, we estimated the probability of irregular behavior by unit changes in external condition. We chose 500 m mesh as a unit of analysis to consider individual singularity and classified 3 classes of mesh to identify abnormal behavior. We verified that as the number of residents in each mesh increases, the likelihood of a person in that region to exhibit normalcy bias increases as well. Owing to data, the accuracy of this method is somewhat low. However, several implications may still be drawn from our results, such as the demand for an adequate alert system. Using the results of people’s mobility and disaster risk information, approaches to dangerous situations such as the examined case may be improved in the future.

Irregular parameter dependence of numerical results in tensor renormalization group analysis

We study the parameter dependence of numerical results obtained by the tensor renormalization group. We often observe irregular behavior as the parameters are varied with the method. Using the two-dimensional Ising model we explicitly show that the sharp cutoff used in the truncated singular value decomposition causes this unwanted behavior when the level crossing happens between singular values below and above the truncation order as the parameters are varied. We also test a smooth cutoff, instead of the sharp one, as a truncation scheme and discuss its effects.

Preliminary Discussion on Monitoring of Steel Support Axis Force in Metro Engineering

Axial force monitoring of steel support is one of the important factors for foundation pit safety monitoring. In the monitoring of steel support, there are many problems, such as unreasonable installation of axonometer, irregular monitoring behavior of axonometer, incomplete analysis of axial force and imperfect early warning system. Collecting many engineering cases, and in-depth analysis and research on the problems and irregular behavior of steel support axial force monitoring in every link. The influencing factors and control measures of steel support axial force are discussed in detail, and some useful conclusions are obtained. It has been applied in the actual monitoring work and achieved good results. It is of great significance to guide subway safety construction and promote the development of axle force monitoring industry.