Reviewerly/exHarmony huggingface dataset:
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation

We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the central notions of ask (elicitation of behaviors such as providing access to money) and framing (risk/reward implied by the ask). We demonstrate improvements in ask/framing detection through refinements to our lexical organization and show that response generation qualitatively improves as ask/framing detection performance improves. The paradigm presents a systematic and efficient approach to resource adaptation for improved task-specific performance.
Research on Service Extensior of Restaurant Serving Robot - Taking Haidilao Hot Pot Intelligent Restaurant in Beijing as an Example

This study focuses on the analysis of the service process and interaction mode of the serving robot used in the restaurant, Through user research, shadowing research and indepth interviews with customers and catering service personnel, this paper analyzes the contact points between catering service machines, people and users, constructs user journey map to understand users' expectations. In addition to the delivery service that can be allocated to the machine and people, the blueprint construction of ordering, reception and table cleaning services can also included in the service process. The final proposal is to improve the existing machine human interface and design a new service scheme.
Effective Reflection Suppression Method for Vehicle Detection in Complex Nighttime Traffic Scenes

Headlight is the most explicit and stable image feature in nighttime scenes. This study proposes a headlight detection and pairing algorithm that adapts to numerous scenes to achieve accurate vehicle detection in the nighttime. This algorithm improved the conventional histogram equalization by using the difference before and after the equalization to suppress the ground reflection and noise. Then, headlight detection was completed based on this difference as a feature. In addition, the authors combined coordinate information, moving distance, symmetry, and stable time to implement headlight pairing, thus enabling vehicle detection in the nighttime. This study effectively overcame complex scenes such as high-speed movement, multi-headlight, and rains. Finally, the algorithm was verified by videos of highway scenes; the detection rate was as high as 96.67%. It can be implemented on the Raspberry Pi embedded platform, and its execution speed can reach 25 frames per second.
A typed parallel lambda-calculus via 1-depth intermediate proofs

We introduce a Curry–Howard correspondence for a large class of intermediate logics characterized by intuitionistic proofs with non-nested applications of rules for classical disjunctive tautologies (1-depth intermediate proofs). The resulting calculus, we call it λ∥, is a strongly normalizing parallel extension of the simply typed λ-calculus. Although simple, the λ∥ reduction rules can model arbitrary process network topologies, and encode interesting parallel programs ranging from numeric computation to algorithms on graphs.
Information-extreme machine learning on-board recognition system of ground objects with the adaptation of the input mathematical description

The method of machine learning of the on-board unmanned aerial vehicle system for autonomous recognition of natural and infrastructural terrestrial objects with the optimization of the frame size generated by the optical digital image of the region is considered.The problem of information synthesis of the onboard recognition system is being solved in the framework of information-extreme intellectual data analysis technology.As part of the functional approach to modeling the cognitive processes inherent in man in the formation and making of classification decisions, the method of information-extreme machine learning onboard recognition system, which allows to adapt the input mathematical description to the maximum full probability of correct recognition of terrestrial features.In accordance with the proposed categorical model, an algorithm of information-extreme machine learning was developed and programmatically implemented, during which the parameters of the sys-tem functioning according to the modified Kullback information criterion are optimized.Implementation of the proposed machine learning algorithm was carried out on the example of recognition of natural and infrastructural land objects, among which roads were considered as a zone of interest.
Download GarageBand for PC Windows 10/7/8 Laptop

Music lovers would understand the essence of having all their music with them. And to music creators, a similar scenario can be expected. This is ...
Education technology based on a 3D model of house VirTec

In modern teaching, it is necessary to use modern technological achievements to involve students in the learning process, to create and constantly develop interesting and relevant teaching materials. Educational materials in a playful form have the appropriate qualities. Game effects are associated with user participation in the interactive process and provide a high interest in the information offered. Getting feedback in the gameplay is not only an indicator of the success of the educational process but also a guide in the step-by-step movement of the student in the learning process. Simulators of different objects are effective educational material that is available to students, contains the necessary information and functions, is simple and intuitive to use. This article provides an overview of different simulators with the study of the impact of their use on the effectiveness of the educational process. One of the simulators is created in the teamwork of the project “Development of a virtual learning environment in technical higher education” (VirTec, 2018), funded by the Erasmus program for 24 months, which includes organizations from four countries: Estonia, Lithuania, Poland, Turkey, and Croatia.
PODNet: A Neural Network for Discovery of Plannable Options

Learning from demonstration has been widely studied in machine learning but becomes challenging when the demonstrated trajectories are unstructured and follow different objectives. This short-paper proposes PODNet, Plannable Option Discovery Network, addressing how to segment an unstructured set of demonstrated trajectories for option discovery. This enables learning from demonstration to perform multiple tasks and plan high-level trajectories based on the discovered option labels. PODNet combines a custom categorical variational autoencoder, a recurrent option inference network, option-conditioned policy network, and option dynamics model in an end-to-end learning architecture. Due to the concurrently trained option-conditioned policy network and option dynamics model, the proposed architecture has implications in multi-task and hierarchical learning, explainable and interpretable artificial intelligence, and applications where the agent is required to learn only from observations.
Random Forest Classification Algorithm

This paper looks at what a classification algorithm is and examines one such algorithm –  random forest. The paper then introduces the topics of entropy, information gain, classification trees and different classification voting methods used in the process. An example is used throughout the paper to demonstrate the concepts and how they link in a clear way and shows a full process used within random forests classification.
Influence And Role Theater Pedagogy In Aspect Formation And Student Personality Development

Education in human life is not an empty phrase. It is supported by the practical skills of highly qualified teachers, many of whom have a Ph.D. degree, and some carry the proud title of professor. Students are given the opportunity not only to gain good knowledge, skills, professional skills, but also excellent personal qualities. But for some reason everyone stopped paying attention to the fact that every year less and less attention was paid to the formation of a student as an individual person.
Communicative Competence-Based Syllabus Design for Initial English Speaking Skills

It is widely recognized that English is the only foreign language included as a compulsory subject in university level in Indonesia. However, few universities make effort to teach English according to students’ needs and level which in turn has negatively influenced the outcome of the teaching process such as the students’ low level of English proficiency. This study has two main objectives i.e. Firstly, it is aimed at improving the quality of teaching English at the university level by aligning the students‟ needs and the expectations of the lecturers, and graduates (a needs analysis) in designing a standard syllabus and developing teaching materials. Secondly, this research is intended to give contributions to the development of theory in syllabus design since this study provides different views and syllabus design framework from pre-existing syllabus design frameworks for a language program. This study is restricted to gather information on the students‟ needs as an essential part to design a speaking course syllabus which focuses on Speaking course one. Research and Development (R&D) design by using mixed method is used to carry out this research with three systematic steps i.e. preliminary phase, development phase, as well as review phase.1. Step one (Preliminary phase).In this phase needs analysis (NA) is administered by involving 137 respondents (116 students, 10 lectures, and 11 graduates) who are selected using purposive sampling technique. The data are gathered through needs analysis questionnaire which are analyzed by using descriptive approach 2. Step two (Development Phase) The information of the needs analysis is then used to formulate the aims and the objectives for selecting course contents, designing syllabus, developing materials, and reviewing the materials. Two experts, who are purposively selected, have reviewed the prototypes of the teaching materials by using checklists which are then descriptively analyzed. 3. Step three (Review Phase) This phase is initiated by trying out the teaching materials which involved 3 English lecturers and 15 freshmen students who are randomly selected. To find out the effect of the teaching materials toward the students‟ progress in speaking, questionnaires and tests (pre-test and post-test) are used. The data are then analyzed by using SPSS 20.The findings of this research have found out two important novelties i.e. the first, a standard syllabus design for initial speaking skills with lesson plans and a set of instructional materials for eleven units and topics. The second, this study has also found a syllabus design model which here is called communicative competence-based syllabus design and a framework of communicative competence-based syllabus. It is highly recommended that teachers of English should consider using the results of this study as a formal a real example to design syllabus and to develop course contents for other English courses such as listening, reading, and writing courses.
초임 대학강사의 강의 경험에 대한 내러티브 탐구 - 세 유아교육 강사의 이야기-

The purpose of this study was to explore the realistic constraints and growth process of novice early childhood instructors experienced during the course of one semester's lectures. The subjects of this study were three novice early childhood education instructors, and the researcher and the research participants used the same self-narrative inquiry method. The study period was from September 2018 to January 2019, and the data were collected through individual reflection journals, recordings of meeting conversations, transcriptions, and filming classes. The results of the study showed that novice instructors experienced difficulties in assessing and making new relationships in the course of their Bachelor's management. In addition, the three instructors developed their lectures into three areas: 'field-oriented lectures utilizing various methods of teaching';, 'lectures that reflect the characteristics of learners and shared experiences';, and 'lectures giving opportunities for learners to think for themselves'. Finally, based on the findings of this study, this study suggests the following: the establishment of capacity building training for novice instructors in universities;, the need for opportunities to communicate with department members’, and financial support for the formation of teaching and learning communities.
The Comparison of Students’ Reading Comprehension Between Natural Science and Social Science Students at State Senior High School 1 Tapung

The purpose of this study is to know the comparison of students’ reading comprehension in descriptive text between natural science and social science students at State senior High School 1 Tapung. The total population of this research was 210 students which consisted of seven classes, the researchers took 20% of the population as the sample by stratified random sampling. The design of this research was quanitative used comparative research. In collecting the data, the researchers distributed a reding comprehension test based on the indicators. After analyzing the data, the researchers found that that there was a significant difference of reading comprehension between natural science and social science students on reading descriptive text comprehension at the tenth grade of State Senior High School 1 Tapung. It was considered by t obtained = 3.329 that was higher than t-table either at 5% = 2.021 or 1% = 2.704. It means that Ha was accepted and Ho was rejected. From the research finding, it showed that there was a significant difference in reading comprehension of descriptive text between natural science and social science students at the tenth grade of State Senior High School 1 Tapung.
&lt;em&gt;Trusting Records in the Cloud&lt;/em&gt;.

Trusting Records in the Cloud represents the results of the latest phase of InterPARES (International Research on Permanent Authentic Records in Electronic Systems), an international research project established in 1998 to investigate preserving the evidential value of records in electronic record systems. The project has generated numerous case studies from across the globe under international teams representing North and Latin America, Europe, Asia, Australasia, Africa, and NATO. InterPARES Trust (hereafter, ITrust) focuses on digital records shared and stored in the cloud, defined as infrastructures and services distributed across a network, such as the internet.
HashMon - hashrate monitor tool : monitoring tool for Bitcoin mining farms

HashMon is a Bitcoin hashrate monitoring tool created in collaboration with Advania Datacenters. Itspurpose is to offer customers and employees of Advania Datacenters detailed information abouttheir whole bitcoin farm, all on one website.
Wealth management in the age of digital assets: How financial advisors can find opportunities amongst disruption

The advent of digital assets has led to the creation of new financial products with the ability to fundamentally change where and how wealth is invested. For wealth managers, the new asset class and varying products present both a challenge and opportunity. On one hand, digital assets allow retail investors to personally invest in tokenized alternative assets with minimal capital, diminishing the need for a financial advisor or broker. On the other hand, new product classes such as cryptocurrencies and security tokens can be added to wealth managers’ existing portfolios as means to diversify holdings and corner an increasingly demanded market of blockchain-based assets. This paper should be viewed as a starting point for wealth managers who are concerned about potential business disruptors or growth opportunities associated with digital assets. We will review cryptocurrencies, stablecoins, initial coin offerings, and security token offerings, and discuss their significance for wealth managers. We will also focus on an increasingly popular application of security token offerings, termed tokenization, and discuss how wealth managers may use tokenized products to supplement portfolio offerings. While the full effect of digital assets to a wealth manager’s business is still yet to be determined, forward thinking financial advisors will need to be prepared for this asset class marketplace in order to avoid potential disruption. Financial advisors should take proactive strategic steps, such as enhancing their digital capabilities or upskilling their staff on the benefits of digital assets, to ensure that they are well equipped to serve their clients’ changing needs.
Photo caption comp: results

Thank you to everyone who entered the pets photo competition. Check out the winning photo and remember to enter the new competition.
Study Of Syntactic Features And Meaning Of The Limitative Expression “saja” In Indonesian, And The Application In Japanese Translation

Indonesian is the word order of SVO. The limitative expression in Indonesian generally functions as an adverb in the sentence. Adverbs to express limitative expression in Indonesian are classified in some variations. In this paper, the researcher clarified the structure and meaning of limitative expression saja in Indonesian. Referring to the term used by Alwi (1998), Sneddon (2000) and Chaer (2009), saja appears to the right of nouns and verbs. Sneddon (2006) uses the word ‘limiter’ to show the meaning of saja. The research methodology used descriptive using actual data. Data analysis was conducted using theory, as stated by Alwi (1998), Sneddon (2000, 2006), and Chaer (2009). When translated into Japanese, the meaning of saja can be converted into various particles. The definition of each of the particles that express the limitation is considered based on the theory of Sawada (2007), Numata (2009), and Nitta (2009). The results of the research are, saja can be classified into five categories; there are uniqueness, multiplicity, continuity, the minimum limit, and extremity. In Japanese, each meaning can be translated into toritatejoshi dake, bakari, and sae.
Effects of "internet +" nursing intervention model on rehabilitation outcomes in stroke patients: a Meta-analysis

ObjectiveTo systematically assess the effects of internet + nursing intervention model on rehabilitation outcomes in stroke patients so as to provide an evidence-based basis for clinical nurses to carry out internet + nursing service new model in stroke patients.MethodsRandomized controlled trials (RCTs) related on effects of internet + nursing intervention model on rehabilitation outcomes in stroke patients were retrieved in China Biological Medicine (CBM) , Chinese National Knowledge Infrastructure (CNKI) , WanFang Data, PubMed, Embase, Cochrane Central Register of Controlled Trials by computer from building database to May 2019. RevMan 5.3 was used to the systematic review for literatures meth the inclusion criteria.ResultsA total of six literatures were included involving 637 samples. Systematic review showed that internet + nursing intervention model could improve the motor function [MD=13.87, 95%CI (7.93, 19.81) , Z=4.57, P<0.01]and activity of daily living [MD=14.43, 95%CI (6.15, 22.71) , Z=3.41, P<0.01]of stroke patients during rehabilitation.ConclusionsInternet + nursing intervention model provides a good channel for rehabilitation and health education for stroke patients after going back to family and community, helps stroke patients to improve motor function during rehabilitation and activity of daily living, but that still exhibits the problems needed to be perfected and solved by medical staff exerting themselves.Key words: Stroke; Rehabilitation; Internet +; Nursing intervention; Meta-analysis
How to think through plots of crime novels

Crime author Pauline Rowson advocates the pleasures of walking for tackling those tricky aspects of plots and for creating memorable characters.
7-Zip vs WinRAR vs WinZip — Finding the Best File Archiver

7Zip vs WinRAR vs WinZip, which software is better? We can argue all day long which will win the comparison between 7Zip vs Winrar vs Winzip. In the ...
Models For Evaluating Visualization Center Effectiveness

Seven visualization centers at institutions of higher learning in the Unites States were visited where directors or senior staff/faculty of visualization centers or laboratories were interviewed using a standard survey instrument.These centers represented science, medicine, engineering, art, and social science disciplines.Of particular interest were original and continuing funding models, the organizational structure of each facility, the profiles of participating faculty, and the relationship of the centers' research activities with undergraduate and graduate academic programs.This paper develops three models based on the sampled centers, describes the topology of visualization activities, and draws preliminary conclusions from the survey data.
Predicting Global Solar Radiation on A Horizontal Surface A Case Study For Zambia

Insolation models have been recognized for many years in solar energy systems as important tools to determine radiations for locations lacking insolation data base. Unfortunately, for most geographical areas in Zambia, the insolation data is not available. Correlations between the daily measurements of global solar radiation and the meteorological parameters were presented in tabular form for the selected locations. A common relationship to estimate global solar radiation for the all Zambia is also established. The values of correlation coefficients established varied from 53% to 97% and the errors of estimation were between 0.24 and 0.0.84.
Implicature in John Green’s The Fault Of Our Stars

Discourses on revealing meanings in utterances are widely discussed in some fields of linguistics, semantics, presupposition, and implicature. This study is an example of how implicature is employed in a novel, which is a depiction of real life conversation. The aims of this study are to reveal the use of implicature in a novel by using Grice’s cooperative principle framework and to entangle the implied meanings in the conversations in terms of their maxim arrangement. Qualitative research design was used in this study. The result of the study shows that there are two kinds of implicature, namely generalized and particularized conversational implicature. It is also found that there are five patterns of maxims organization in generalized conversational implicatures and four patterns of maxims organization in particularized conversational implicatures.
Work-in-Progress: Graduate Student Perspectives on Using Tablet PCs and Associated Technologies

century expertise in engineering students, and building rigorous research capacity in science, engineering, and technology education.
Using A Summer Workshop To Recruit Talented Minority High School Students

For the past five years, we have offered a selective 12-day residential workshop for approximately 24 high school juniors and seniors from minorities underrepresented in science and health professions.Participants are chosen by faculty on the basis of essays, transcripts, and letters of recommendation from high school teachers and guidance counselors.The program includes three mini-courses, two in biology and one in computer technology.The latter was added to help students understand the connection between technology and the health professions and also to meet the needs of a significant number of participants who express interest in engineering and computer science careers.We believe that the success of our program can be attributed to several key elements: