Reviewerly/exHarmony huggingface dataset:
Future lawyers or robots with big data?

The chapter is interested in two second order questions; • If the promotion of AI in legal service delivery is primarily motivated by cost savings and potential market expansion, are other more principled considerations of what lawyers do (such as providing access to justice, and fighting abuse of power) being marginalised in favour of efficiency and cost-effectiveness? • What are the human costs involved in this AI transition? Responding to the first of these concerns requires an interrogation of what I will call legal principles in practice. It is beyond the scope of this chapter to survey the influence of AI on all the major normative underpinnings of the law and professional practice. Instead, I will interrogate the advent of ‘smart contracts’ to reveal whether the imperatives behind this development adequately reflect the social location of contracting. As for the issue of ‘human cost’, the analysis will look at how the organisation of the law firm as a workplace is changing, and whether those within that workplace, most vulnerable to the downsides of change, are being given sufficient ‘voice’ to make these transitions accountable for human cost. Legal problem solving is plagued by false stories and biased recollection. The lawyer injects into the solution her personal and professional biases. The outcomes we anticipate for legal problem-solving again exhibit all the bias inherent in the lawyer/client relationship. If the bias of AI and lawyering are collapsed through emerging technological interdependencies, the consequences for law’s normative framework will be to position it further and further from the realities of practice.
Performance Evaluation of Back propagation Algorithm by change in learning rate and momentum value – A Machine learning Approach

Machine learning algorithms are used in data mining for prediction analysis .Classifier that uses a Back propagation to learn a multilayer perceptron to classify instances. In this method we are using Multilayer Perceptron model for Back propagation algorithm by using learning rate and momentum factor. Overall efficiency of the system of a given Dataset can be increased by adopting learning rate and Momentum.
A Survey on the Satisfaction of Diversified Learning Space in Colleges and Universities

In recent years, with the continuous development of science, technology, economy and society, the learning space on campus tends to be diversified in form and function.The unexpected COVID-19 epidemic in 2020 objectively promotes the rapid development of e-learning space.However, the research on learning space is not thorough enough currently.In this paper, based on the satisfaction survey of college students' learning space use, we try to find the shortcomings of college learning space, and put forward targeted countermeasures and suggestions.
IMPACT OF THE FINANCIAL CONTROL OF MARKETING COMMUNICATION ACTIVITIES ON COMPETITIVE ADVANTAGE OF SAUDI SERVICE ORGANIZATIONS

This study aimed to determine the effect of financial control of marketing communication activities on the competitive advantage dimensions of services organizations in Saudi Arabia, as well as to investigate the statistical differences in the research variables according to some organizational factors. The study population consists of two parts, the first part represents the service organizations in Saudi Arabia reaches 206 in 2019, and the second part is the actual customers of such surveyed organizations in Riyadh city reaches 8 million in 2019. The full survey of all service organizations and the purposive sampling methods are used. The response rate of survived organizations reaches 64.5% of total surveyed organizations, while the sample size of customers is 1500 and 97.5% of total distributed questionnaires estimate 1463 questionnaires. The descriptive methodology is used and the questionnaire is the key tool to collect the primary data. The study concludes that there is it is found that there is a statistically significant effect of the financial control in the MC on the competitive advantage, the study also concludes that there are significant statistical differences in the financial control of MC Activities according to listed on the stock markets. Finally, the study suggests some recommendations that enhance the financial control of marketing communication activities in such organizations through increasing the efficiency of control systems for marketing communication activities, and give greater flexibility in budgeting and expected variations, and using the cost-based strategy to maximize the business performance of such organizations. KEY WORDS: Financial Control, Financial Planning, Business Performance, Marketing Communication, Competitive Advantage, Service Sector, Saudi Arabia.
Mirar hacia arriba: Diálogos visuales con gárgolas

espanolEl tema de este capitulo es aprender a observar de forma activa el entorno visual que nos contempla desde las alturas, literal y metaforicamente. Lo conseguiremos desarrollando acciones de devolver la mirada a aquellas representaciones visuales que, en muchas ocasiones, pasan desapercibidas para la sociedad actual, en particular la mirada a las gargolas (Yanez, 2019). La accion de elevar la mirada nos ayuda a ser mas conscientes de aquello que nos rodea, a reflexionar sobre lo que nos motiva a mirar con mayor profundidad, ya que “ver es adquirir sentido visual a traves de la experiencia” (Eisner, 1995, p. 87). Como docentes de Educacion Artistica somos responsables de la dimension visual del conocimiento. Como escribio Arnheim (1971, p. 9): “el pensamiento verdaderamente productivo tiene lugar en el reino de las imagenes”. En este proyecto de Educacion Artistica vamos a profundizar en el aprendizaje visual, conjugando de forma indivisible el pensar y el percibir, mediante el trabajo con la identidad y la mirada, y desarrollando habilidades transversales e imprescindibles en el campo visual: la intuicion y la creatividad. En esta investigacion el dialogo visual identitario se convierte en la clave del aprendizaje. Retrato y gargola en equilibrio y comunicacion, de modo semejante al que nos presenta la fotografia fechada el 1 de enero de 1935 con la fotografa Margaret Bourke-White sobre una de las gargolas del edificio Chrysler de Nueva York (Graubner, 1935) EnglishThe topic of this chapter is about learning to actively observe the visual surroundings that gaze down upon us from on high, both literally and metaphorically. We will achieve this by developing actions that return our gaze to those visual depictions that, in many cases, pass unnoticed by current society, in particular the gaze of gargoyles (Yanez, 2019). The action of elevating our gaze helps us to be more conscious of that which surrounds us, to reflect on that which motivates us to see in greater depth, given that “to see is to acquire visual faculty through experience” (Eisner, 1995, p. 87). As teachers of Art Education we are responsible for the visual dimension of knowledge. As Arnheim wrote (1971, p. 9): “truly productive thought takes place in the realm of images”. In this Art Education project we will delve into visual learning, uniting thinking and perceiving together. We will do this through working with identity and perspective, and through developing two essential and multidisciplinary abilities in the visual field: intuition and creativity. In this research project the identity-oriented visual dialogue becomes the key to the learning process. An example of such a dialogue is a portrait and a gargoyle in balance and in communication, like the photographer Margaret Bourke-White achieved on January 1, 1935 with one of the gargoyles of the Chrysler building in New York (Grabner, 1935)
Classification of Failures in the Perception of Conversational Agents (CAs) and Their Implications on Patient Safety

The use of Conversational agents (CAs) in healthcare is an emerging field. These CAs seem to be effective in accomplishing administrative tasks, e.g. providing locations of care facilities and scheduling appointments. Modern CAs use machine learning (ML) to recognize, understand and generate a response. Given the criticality of many healthcare settings, ML and other component errors may result in CA failures and may cause adverse effects on patients. Therefore, in-depth assurance is required before the deployment of ML in critical clinical applications, e.g. management of medication dose or medical diagnosis. CA safety issues could arise due to diverse causes, e.g. related to user interactions, environmental factors and ML errors. In this paper, we classify failures of perception (recognition and understanding) of CAs and their sources. We also present a case study of a CA used for calculating insulin dose for gestational diabetes mellitus (GDM) patients. We then correlate identified perception failures of CAs to potential scenarios that might compromise patient safety.
Machine Translation and Technicalities of Website Localization

Machine translation tools are widely used by companies. The tools are on an increasing demand. Translators need to equip themselves with the knowledge and the mastering of these tools. This study explores two machine translation tools involved in website localization. These tools are Alchemy Catalyst and Trados Tageditor. The study adopts an evaluative methodology to shed light on the intricacies and technicalities of these two localization tools. It discusses some of the cultural issues that localizers come across in the process of localization. In addition, it delves into the technical issues, mainly focusing on localizing into Arabic with a special focus on string, text, lexis, and orthography. The study concludes that the process of localization requires teamwork and involvement of computer engineers, and both localization tools are valuable in achieving a localization task.
The reality of the Entrepreneurship in Palestinian IT companies: واقع ريادة الأعمال في شركات تكنولوجيا المعلومات الفلسطينية

This study aims to identify the reality of entrepreneurship, applying on the Palestinian IT companies in the Gaza Strip. The problem of the study was formulated in the following main question: What is the reality of entrepreneurship in Palestinian IT companies? The study applied the analytical descriptive method based on primary and secondary sources of data. The study followed the analytical-descriptive method. The questionnaire was used as a main tool for collecting data from the population, which is (129) individual employees in the departments of electronic marketing in companies, where (97.7%) were retrieved. The study reveals the high level of leadership in the Palestinian information technology in the Gaza Strip. The study recommends the necessity of establishing or developing a center for entrepreneurship in companies and diversifying the sources of funding to support entrepreneurial ideas, with the need to involve entrepreneurs with entrepreneurial ideas and profits.
Self-Improvable Computer System Model and Architecture Based on Reconfigurable Hardware, Automatic Design and Synthesis Tools and Artificial Intelligence Technologies

In the article the idea on self-improvable computer systems creation is formulated and directions of their self-improvement and the proposed approach to self-improvement are described.This approach is based on methods and tools for specialized processors high-level automatic design and synthesis, new computational models, including the one that uses principle of self-configuration, new architecture of self-configurable FPGA-based computer systems and computational intelligence technologies.An FPGA was chosen as the hardware basis of self-improvable computer systems.The directions of the FPGA-based reconfigurable computer systems development over the next years are considered.The self-improvable computer system operation model and architecture are proposed, and their components are described.Among them there are method of self-configuration of a computer system with reconfigurable logic, Artificial Intelligence technologies, and software basis of self-improvable computer systems.The core of this software are specialized processors high-level design tools, which are used as a basic mechanism for computer system self-improvement.Expected benefits of self-improvable computer systems creation are estimated at the end of the article.
Principles of Entrepreneurship (ENT530): Business Model Canvas: Smart Home Dustbin / Nurul Syahira Ropa … [et al.]

This report is about our company business model canvas. Our business name is Polillo Enterprise. Our company can be located at Lot LG-3, Perseda Cattleya, Jalan Cattleya 3, 70450 Senawang, Negeri Sembilan. Our business has been registered on 5 November 2020 and commencement on 10 November 2020. Our business is selling a special kind of product that is called Smart Dustbin. Smart Dustbin is a special type of dustbin that can automatically open the lid itself because it has a sensor that can detect the user’s knees or hands when they close with the dustbin. This feature is really smart, and this features also immediately sets it apart from other dustbin in the market that are made from our competitor. Besides, this features also helps some of the problem that can be found in which people does not want to touch or open their dustbin because its dirty. The purpose of our company in making this business model canvas is to help people understands what our company is all about. In addition, this business model canvas or (BMC) also helps in establishing the 9 components that is needed to run a business. These nine components are value propositions, customer segment, channels, customer relationships, revenue, key resources, key partners, key activities, and cost structure. Some of the components of the business model canvas for our business are for example for channels are social media, telephone, retailers, and email. Some of the key activities are quality control, marketing and storage. Also, key partners are our suppliers and courier services and for cost structure are rent, wages, maintenance and advertising.
THREE ESSAYS ON FACTORS THAT BOOST DEVELOPMENT: EXTERNAL FINANCING AND DEVELOPMENT ASSISTANCE

Existing literature finds conflicting results in the relationship between economic development and external assistance (aid). This analysis researches if there is any link between these variables by assessing the impact of a major change in aid pattern given to Nigeria. The key motivation is that a significant change in the trend of development assistance in comparison to previous periods and to other countries should have visible effects on development. Using the synthetic control methodology and the estimation techniques commonly found in the literature, this paper finds that a positive relationship. The results from this research support the existing literature advocating for aid continuation. Other estimation techniques lead to inconclusive results, as they capture an average effect across countries. Synthetic control methodology provides a better illustration of the effect of assistance on economic development over time to a specific country. The link between external financing and economic development is highly debated. External financing may provide companies with the necessary financial means needed during an economic downturn. However, it may increase firms’ indebtedness and probability of failure. This is especially important in the short-run, during an economic crisis, where the effects of access to finance may be exacerbated. This research assesses this topic in two chapters.Firstly, the paper analyzes the impacts of having a bank loan by using micro data from Moldova and determining if external financing affects the survival rates of firms. The chapter finds that, on average, enterprises that report repaying external loans are less likely to exit. The result is robust, even if self-selection into loans is accounted for. Secondly, this research uses regional-level data and analyzes if regions with higher value-added of the financial sector experienced an increase in net number of job and net employment during the Great Recession. The paper finds positive impact on employment and number of firms, regardless their size. No evidence of negative effects of finance is observed.%%%%Economics%%%%Development Assisstance, External Financing, Firms' Survival Rate, Net Firm Creation, Net Job Creation, Synthetic Control Methods%%%%Economics%%%%Degree Awarded: Ph.D. Economics. American University
SOFTWARE DEFECT DETECTION BY IWD GENETIC FILTER AND NEURAL NETWORK MODEL

Human life dependency on digital world increases day by day.Software have trust, easy to understand for implementation and reduces labor cost.But defects in software leads to reduce the trust and may be harmful for the individual, community, organization, etc. Hence software defect detection came in existence.This paper to has resolved this issue of software defect detection by proposed hybrid model of Intelligent water drop genetic algorithm and neural network.Whole work divided is into two module first feature selection from the dataset by Intelligent water drop is algorithm and second learning of feature set sets for desired output by neural is network.Genetic algorithm-based feature selection increases the learning capability of neural network.Experimental work done on real dataset.Result shows that is Software Defect Detection Intelligent Water Drop Neural Network (SDDIWDNN) has improved the software defect detection accuracy as compared to other existing algorithm.
NEURAL MODELING BY DEEP LEARNING, PREDICTING THE OPERATION OF AN ECCENTRIC INJECTION PUMPS USED IN NATURAL GAS ODORIZATION

The paper presents a predictive modeling in the operation of an odorizing pump operated with an eccentric mechanism, using a field of artificial intelligence (AI) called Deep Learning according to the parameters of flow and pressure in a piping system. natural gas transportation; odorization is necessary because natural gas is odorless, and in case of a leak in the transmission or distribution system for natural gas and if this oil spill is not detected, monitored, there is a danger of explosion, the worst danger being in urban areas.  The operation of this pump with the eccentric using a DC motor without brushes, this motor being constructively adapted for a potentially explosive environment - according to the Ex zoning explosion described in stas SR 60079-10: 2016 through which the variation of the odorant flow injected into the pipe is determined. Using an application from the MATLAB program, more precisely an additional package of this program, Simulink, through which simulations of dynamic systems can be performed using mathematical models in order to optimize them, we will analyze the predictive operation of the injection pump. The neural model, which is implemented in the Deep Learning Toolbox software, and through a non-linear programming will predict the operation of this odorant pump used in the system of natural gas transmission pipelines. The controller, used in Simulink, will then model the control input that will optimize the operating performance of the eccentric injection pump in a defined time range.
Dual axis solar tracking system using Arduino UNO

Solar photovoltaic cells generates the energy by approximately following the intensity of light and using the light energy to create an electric current. There are many PV cells within solar panels and the current created by all of the cells together adds up to enough electricity. A dual axis solar energy system using “Arduino UNO” works as an automatic tracking system and controls the elevation and orientation angles of solar panels such that the panel always maintained perpendicular to sunlight. The measured variable of our automatic dual axis solar tracking system is low cost, reliable and efficient. As a result of experiment, by using monocrystalline solar panel and following the intensity of sunlight, the energy generated by dual axis solar tracking system increases consumption of energy up to 8%-25% more than fixed PV system.
Univariate Time Series Using Recurrent Neural Nets

This chapter covers the basics of deep learning. First, it introduces the activation function, the loss function, and artificial neural network optimizers. Second, it discusses the sequence data problem and how a recurrent neural network (RNN) solves it. Third, the chapter presents a way of designing, developing, and testing the most popular RNN, which is the long short-term memory (LSTM) model. We use the Keras framework for rapid prototyping and building neural networks. To install keras in the conda environment, use conda install -c conda-forge keras. Ensure that you also install tensorflow. To install tensorflow in the conda environment, use conda install -c conda-forge tensorflow.
Pengolahan Data Pengiriman Paket di PT. Maji – Salatiga dengan Pemrograman Visual Basic

Data-Processing of Package Delivery In PT. MAJI - Salatiga use the programming language visual basic 6.0. with the progress of information technology in this time computer play a part very important in the world of job. In technological growth this computer can assist the us in producing and to save information in a complex system information. In general computer used for the hollowing of duty like typing, but in fact knowledge about computer need more developing so that can overcome the problems which complex progressively. As for one of example of problems able to be overcome with the computer peripheral that is problems of delivery of goods package that happened in PT. MAJI - Salatiga By using programming language of visual basic 06, in this paper writer hope can assist the PT. MAJI - Salatiga in solving problems of delivery of goods package especially, so that will get the data and report which quickly, precisely and accurate. By using input of scrip certificate transaction, town data, data of tariff of package and transaction claim so that can complete the process which have there.
Research on Programming Practice Teaching Reform of GIS Course

Geographic Information System (GIS) has the characteristics of multi-disciplinary integration and fast content update.As a result, it is more difficult to teach GIS course well.In view of the shortcomings of the traditional teaching, such as unreasonable GIS curriculum content setting, the imperfect GIS teaching methods, the insufficient practical teaching, and the less emphasis on programming ability, this paper puts forward the reform projects, such as setting reasonable teaching structure, increasing GIS programming practice teaching content, strengthening the case teaching, improve teaching mode, encouraging students to actively participate in the GIS contest, establishing the network GIS teaching system, enriching the course assessment methods.The reform projects help the combination of theory and practice, cultivate students' programming practice ability, stimulate students' interest in learning GIS, and further improve the comprehensive quality of students.