Reviewerly/exHarmony huggingface dataset:
Meta-Analyses in Survey of Whale Optimization Algorithm

The whale upgrade count (WOA) is a nature stirred met heuristic smoothing out computation, which was proposed by Mirjalili and Lewis in 2016. This estimation has demonstrated its ability to handle various issues. Thorough examinations have been recognized about a few or nature-energized figuring's, for instance, ABC and PSO. Regardless, no diagram search work has been dismembered on WOA. Hence, in this paper, a methodical and meta-assessment review of WOA is distinguished to help pros with using it in different zones or hybridizes it with or typical counts. In this way, WOA is acquainted top with base similar to algorithmic establishments, its characteristics, imperatives, adjustments, hybridizations, and applications.
EXTRACTING FACIAL FEATURES WITH FACE MATCHING DETECTION OF CRIMINALS

There is an abnormal increase in the crime rate and also the number of criminals is increasing, this leads towards a great concern about the security issues. Crime preventions and criminal identification are the primary issues before the police personnel, since property and lives protection are the basic concerns of the police but to combat the crime, the availability of police personnel is limited. To avoid this situation an automated facial recognition system for criminal identification is proposed using Haar feature-based cascade classifier. This paper presents a real-time face recognition using an automated surveillance camera. This system will be able to detect and recognize face automatically in real-time. With the advent of security technology, cameras especially CCTV have been installed in many public and private areas to provide surveillance activities. The footage of the CCTV can be used to identify suspects on scene. In this paper, an automated facial recognition system for criminal database was proposed using known Haar feature-based cascade classifier. This system will be able to detect face and recognize face automatically in real time. An accurate location of the face is still a challenging task. Viola-Jones framework has been widely used by researchers in order to detect the location of faces and objects in a given image. Face detection classifiers are shared by public communities, such as OpenCV.
Contemporary COBOL: Developers' perspectives on Defects and Defect Location

Mainframe systems are facing a critical shortage of developer workforce as the current generation of COBOL developers retires. Furthermore, due to the limited availability of public COBOL resources, entry-level developers, who assume the mantle of legacy COBOL systems maintainers, face significant difficulties during routine maintenance tasks, such as code comprehension and defect location. While we made substantial advances in the field of software maintenance for modern programming languages yearly, mainframe maintenance has received limited attention. With this study, we aim to direct the attention of researchers and practitioners towards investigating and addressing challenges associated with mainframe development. Specifically, we explore the scope of defects affecting COBOL systems and defect location strategies commonly followed by COBOL developers and compare them with the modern programming language counterparts. To this end, we surveyed 30 COBOL and 74 modern Programming Language (PL) developers to understand the differences in defects and defect location strategies employed by the two groups. Our preliminary results show that: (1) major defect categories affecting the COBOL ecosystem are different than defects encountered in modern PL software projects; (2) the most challenging defect types in COBOL are also the ones that occur most frequently; and (3) COBOL and modern PL developers follow similar strategies to locate defective code.
SURVEY ON SIMPBot

Texting, chatting, and SMS (short messagingservice) have become an extremely popularmedium of short and informalcommunication because they are very easy tosend and receive. The urge to freelycommunicate with others is normal ,humansare very social creatures who have a deepseated instinct to form social groups ,so thatthey may find security in the pack , hence thisdesire to have a healthy relationship issomething we are born with.However, this social and biological pressureto develop a friendship or an intimaterelationship may lead to an individual inmaking a serious lapse of sound judgementwhen it comes to choosing the receiver of hisemotions.If we keep relying on our various forms oftechnologies and social media platforms tomeet and socialize with new people across theglobe, we may very end up in threateningand treacherous situations because there isreally no feasible way to be sure of whomexactly we are talking to .Which is why a welldefined chat bot with the ability to gaugehuman sentiment as well the intentionsbehind their messages and the ability torespond appropriately as well raise anynecessary red flags about the communicatingparty would greatly ease the pressure oftexting while safeguarding the user frommalicious messages.
Research Guides: Faculty Publishing Guide: ORCID: Creating an ORCID iD: HeinOnline

This guide is intended to introduce ORCID and how it can assist in increasing scholarly impact.
Equilibrium of four cubes on a balance: Exploring high-school students’ answers and different ways of challenging their “fast thinking”

espanolA partir de los resultados de una investigacion previa con estudiantes mexicanos, se sabe que el rompecabezas de Perelman sobre el equilibrio de cuatro cubos, con lados de 6 cm, 8 cm, 10 cm y 12 cm, activa en muchos estudiantes el “pensamiento rapido” basado en la “Ilusion de linealidad”. Los estudiantes piensan que, en la configuracion de equilibrio, los cubos de 6 cm y 12 cm deberian estar en un plato mientras que los cubos de 8 cm y 10 cm deberian colocarse en el otro plato. El rompecabezas se entrego a tres grupos de estudiantes de secundaria eslovenos (N = 67 estudiantes). Despues de dar sus respuestas, los estudiantes tenian tres formas diferentes de verificar (confirmar o cuestionar) estas respuestas. El primer grupo (N1 = 24 estudiantes, 15 anos de edad) recibio la respuesta correcta como un informe de un estudiante que supuestamente llevo a cabo el experimento en casa. El segundo grupo (N2 = 22 estudiantes, 15 anos) vio la foto de la situacion de equilibrio. El tercer grupo (N3 = 23 estudiantes, de 16 anos de edad) tuvo una oportunidad practica, con cuatro cubos y una balanza, para encontrar la respuesta correcta. Los resultados muestran que la mejor manera de cambiar el pensamiento rapido de los estudiantes es proporcionar actividades practicas. Decir la respuesta verbal correcta o mostrar la foto de la configuracion correcta de los cubos en la balanza no es una forma muy convincente de desafiar el pensamiento rapido de algunos estudiantes. EnglishFrom the results of a previous research with Mexican students, it is known that Perelman’s puzzle about the equilibrium of four cubes, with sides of 6 cm, 8 cm, 10 cm and 12 cm, activate in many students “fast thinking” based on the “illusion of linearity”. The students think that, in the equilibrium configuration, 6-cm and 12-cm cubes should be on one plate while 8-cm and 10-cm cubes should be placed on the other plate. The puzzle was given to three groups of Slovenian high-school students (N = 67 students). After they provided their answers, students had three different ways to verify (to confirm or to challenge) these answers. The first group (N1 = 24 students, age 15 years) was given correct answer as a report of a student who allegedly carried out the experiment at home. The second group (N2 = 22 students, age 15 years) saw the photo of equilibrium situation. The third group (N3 = 23 students, age 16 years) had a hands-on opportunity, with four cubes and a balance, to find the correct answer. The results show that the best way to change students’ “fast thinking” is to provide hands-on activity. Telling the correct verbal answer or showing the photo of the correct configuration of the cubes on the balance are not very convincing way to challenge “fast thinking” of some students.
FUNGSI EMOTICON SEBAGAI BAHASA NONVERBAL DALAM KOMUNIKASI DIGITAL

research entitled The Function of Emoticon as Nonverbal Language in Digital Communication” uses a qualitative approach and descriptive analysis method. basic assumption of this research is symbolic interaction. It Aims to understand the meaning and the benefits of emoticons, when the emoticons are used,  the communication which are related with emoticons, and to know the response of group members. Emoticon is a non verbal language which is used in online media. emoticons are used to complement verbal messages, to represent expressions, as media support, to conveus emotions and to turn on communication that have a disadvantage in media communication. use of emoticons are different depends on the individual's openness in expressing the emotion feels. open individuals are more intents in using emoticons in the context of serious or non-disclosure.  Emoticons can be an obstacle and can also be a handling in obstacles to avoid endless conflict. Some members start communication by inserting emoticons and some others use emoticons to respond. use of emoticons is expected to become a media of   communication in forming a relationship so that the group communication in WhatsApp Messenger well established
Sequential Random Sampling Revisited: Hidden Shuffle Method

Random sampling (without replacement) is ubiquitously employed to obtain a representative subset of the data. Unlike common methods, sequential methods report samples in ascending order of index without keeping track of previous samples. This enables lightweight iterators that can jump directly from one sampled position to the next. Previously, sequential methods focused on drawing from the distribution of gap sizes, which requires intricate algorithms that are difficult to validate and can be slow in the worst-case. This can be avoided by a new method, the Hidden Shuffle. The name mirrors the fact that although the algorithm does not resemble shuffling, its correctness can be proven by conceptualising the sampling process as a random shuffle. The Hidden Shuffle algorithm stores just a handful of values, can be implemented in few lines of code, offers strong worst-case guarantees and is shown to be faster than state-of-the-art methods while using comparably few random variates.
An Investigation of the Relationship between Knowledge Sharing, Innovation and Social Capital Based on Path Analysis (Case Study: PERGAS International Consortium)

Research confirms that knowledge sharing and social capital are elements within the organization that affect innovation in organizations and improve innovation; The purpose of this study; Explain the relationship between knowledge sharing, social capital and innovation (Case study: PERGAS International Consortium); The method of the present research is descriptive, which has been done by the survey method and is considered as part of applied research in terms of purpose; The instrument of the present study is a questionnaire whose validity has been confirmed by the professors and experts of the PERGAS International Consortium and its reliability has been more than 0.7 for each variable; The statistical population of the present study; The directors and senior experts are the PERGAS International Consortium, which numbers about 635; Taking into account the error rate of 0.5, the probability of success of 0.5 and the target population of 635 people, the number of samples required for this study was determined to be about 240 tons. That the same amount has been analyzed; The sampling method in the present study was simple random; The data analysis method was structural equation modeling using LISREL 8.80 software; The results showed a positive and significant effect of social capital on knowledge sharing and knowledge sharing on innovation, while the effect of social capital on innovation has not been confirmed and based on the path analysis technique, the role of knowledge sharing is fully mediated. have been
Library Guides: Collection Development Committee (CDC): Policies and Procedures

Previously the Collections and Online Resources Working Group – The CDC has been recently established and is composed by all faculty with liaison responsibilities.
The Origins of the Blockchain

In this chapter, the author explores the philosophical roots of the blockchain. Beginning with an account of Satoshi Nakamoto's famous bitcoin white paper, the chapter then goes on to describe the history of virtual currencies, the cypherpunks, and debates in political theory over the benefits of centralization and decentralization.
Joshua 7:22 in the Ruins

Joshua 7:22 in the Ruins Jessica Jewell (bio) The whole city was an ambushthe summer before we met& I was disaster provisions.I lit fires up and downMeridian, breaking the lawevery time the moondisappointed me, triedtunneling home dirt by dew& then you were salveand I, a walking wound.I met you and you stoppedmy war with the world youtransformed Indianadarkness into solitudeo, behold, the smoke of the cityhas gone up into the skyand there is no powerin those ruins anymore. [End Page 59] Jessica Jewell Jessica Jewell is the author of three collections of poetry including Slap Leather, Sisi and the Girl from Town, and Dust Runner. She is also an editor of two collections: Speak a Powerful Magic and I Hear the World Sing. Jewell is currently the senior academic program director for the Wick Poetry Center at Kent State University, where she also earned her PhD in higher education administration and an MFA in poetry. Her poetry has appeared in Cider Press Review, American Poetry Journal, and Nimrod among others. Jewell lives in northeast Ohio with her wife and two gorgeous dogs. Copyright © 2021 Berea College
The Development of Lerpoche Learning Media for the Literaturgeschichte Course

The aim of this research and development is to develop Lerpoche learning media for the Literaturgeschichte course. The research and development model used in this study is the Four-D development model (1974). This model is modified into three steps, namely (1) Define, (2) Design, and (3) Develop. In this study, data were obtained from the results of product validation by material experts and media experts. The result of this research and development is that Lerpoche learning media can be used in the Literaturgeschichte learning course.
Analisis dan Perancangan Sistem Pemesanan Makanan dan Minuman Menggunakan QR Code Berbasis Website pada Kedai Sambal Merah Kuning Hijau

At present the operational processes that occur at the Sambal Merah Kuning Hijau store ranging from the transaction process to the process of making sales reports are still carried out in the conventional way which is to take notes on a notebook. Under these conditions the writer has the idea to implement a food and beverage ordering system that can be done by scanning the QR Code. The method used in this research is the prototype method with the stages of need analysis, system design and testing. The results of testing this system is ordering food and drinks can be done by scanning the QR Code, after the scanning process is successful then a link will appear as access to the ordering website.
Analyzing the main casting defects and their mold parameters

Abstract At present, the manufacturer and the buyer find themselves in the market, and consumers pay great attention to the price and quality of the product. This means that the fate of the manufacturer depends on it. Casting gets closer and closer to the part, and a number of surfaces are the ones of the future part. Requirements for roughness, design, the competitiveness of the part increase, and the question of the quality and cost of the product is raised. All this determines the relevance of the chosen topic. In the foundry, the most popular technology for printing sand synthesis molds, due to inexpensive materials and quality of products. Casting quality directly depends on the quality of the synthesis molds; therefore, constant monitoring of the parameters of the sand molds is required. [1-3]
Global E&amp;P hotspots in the shadow of 5+ years of downturn, Covid and the maths of energy transition

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
Batch and Column Studies on Nickle and Cadmium Removal Using Iranian Clay-based Geopolymer

The production rate of industrial and agricultural waste is increasing due to population growth. Soil is the most important receiver of industrial and agricultural waste. Contaminants such as heavy metals in various waste after reception by the soil, immediately become part of the cycle that has different impacts on the environment. Geopolymer, as a chemical stabilizer has the potential to stabilize heavy metals in the soil. In this research, several geopolymers for the stabilization of heavy metals in soil were synthesized. Silicon dioxide (SiO2) and aluminosilicate (Al2SiO4) must be used to produce the geopolymers. Rice husk ash was used as the SiO2 source. Also, Iranian zeolite and sepiolite, and red clay soil were utilized as the source of Al2SiO4. The synthesized geopolymers were investigated for the adsorption of nickel and cadmium. Also, batch and column studies of using geopolymers for the chemical stabilization of heavy metals in soil were conducted. The results revealed a high adsorption capacity of the geopolymers. The zeolite, sepiolite, and red clay geopolymer-soil samples adsorbed 100% of the heavy metals (i.e., Ni and Cd) at a concentration of 100 ppm. The zeolite geopolymer adsorbent adsorbed 57% and 96% of Ni and Cd at a concentration of 1000 ppm, respectively. In general, it was concluded that the use of geopolymer compounds in soils with high heavy metal adsorption capacity could be an efficient approach to prevent groundwater resource pollution.
An Efficient Design Representation of Conservative Reversible Logic Gates

Computers, which have become a ubiquitous staple of modern society, consume nearly 10% of all the energy produced worldwide. While computing implementation technology has been made more energy efficient over the years, the energy required to operate a gate logically has become an increasingly large proportion of the total energy required. A systematic improvement of this power use would result in significant power savings, which would grow even more appreciable as overall efficiency improves. One method for achieving these power savings would be the use of conservative reversible logic (CRL) gates for system design. However, to date, only a few designs using these types of gates have been developed. This sporadic development is primarily due to the lack of a systematic method for representing CRL gates. This work describes an accurate and compact design representation of CRL gates based on a known variation of a zero-suppressed binary decision diagram, called PiDD. Two methods of adapting PiDDs to represent CRL gates of any size are presented, along with examples of design manipulation and analysis.
Towards A Multi-agent System for Online Hate Speech Detection.

This paper envisions a multi-agent system for detecting the presence of hate speech in online social media platforms such as Twitter and Facebook. We introduce a novel framework employing deep learning techniques to coordinate the channels of textual and im-age processing. Our experimental results aim to demonstrate the effectiveness of our methods for classifying online content, training the proposed neural network model to effectively detect hateful instances in the input. We conclude with a discussion of how our system may be of use to provide recommendations to users who are managing online social networks, showcasing the immense potential of intelligent multi-agent systems towards delivering social good.
LibGuides: Research Data Management: Copyright and Licensing

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws
Few-Shot Classification with Feature Map Reconstruction Networks

In this paper we reformulate few-shot classification as a reconstruction problem in latent space. The ability of the network to reconstruct a query feature map from support features of a given class predicts membership of the query in that class. We introduce a novel mechanism for few-shot classification by regressing directly from support features to query features in closed form, without introducing any new modules or large-scale learnable parameters. The resulting Feature Map Reconstruction Networks are both more performant and computationally efficient than previous approaches. We demonstrate consistent and substantial accuracy gains on four fine-grained benchmarks with varying neural architectures. Our model is also competitive on the non-fine-grained mini-ImageNet and tiered-ImageNet benchmarks with minimal bells and whistles.
Real-Time Trespasser Detection Using GPS based UAV

In counter-knowledge, reconnaissance the looking at of direct works, or other changing data to affect, managing, arranging, or ensuring people. This can combine insight from a segment by procedures for electronic gear, (for example, shut circuit TV (CCTV) cameras or catch try of electronically transmitted information. It is vital for keeping up control and respectability inside an office where inquiries about could be in progress. This paper depicts real-time trespasser detection utilizing unmanned aerial vehicle which is commonly a drone. This work has been built using DIY quadcopter fitting alongside the GPS which gives an exact area of UAV. The sensors fitted at the passage which is an IR sensor will transmit the information including the scope and the longitude could be seen with the assistance of the framework interface. The motive of this work is to provide real-time surveillance technology.
Review of Human as Media: The Emancipation of Authorship by Andrey Miroshnichenko

Andrey Miroshnichenko, a media futurist and journalist, trained as a philologist, has written a book that I first read and reviewed a number of years ago three weeks after first meeting Andrey. I never published the review before, but I believe it is an appropriate piece for New Explorations. I mention this background because Andrey is now a friend and colleague and my review is a rave review and I want to dispel the notion that I had a conflict of interest when I wrote the review. The most that I can be accused of is that as editor of the journal I chose to publish the piece in New Explorations. To guard against this, I had my review undergo a blind peer review, which it passed.