Reviewerly/exHarmony huggingface dataset:
The Role of Geography Education Lecturers in Measuring Students' Basic Literacy and Numeracy Skills at SDN Pujut District, Central Lombok Regency

The strategy to improve the quality of education in schools is to improve the management of literacy culture. Literacy refers to the process of reading, writing, and speaking to build, integrate, and critique meaning. Many researchers studied teachers' role in improving elementary school students' literacy and forgot how lecturers also have an essential role. On that basis, this study aims to identify geography education lecturers' role in measuring students' basic literacy and numeracy skills at SDN Pujut District, Central Lombok Regency. Research Methods use descriptive qualitative. Interviews, observation, and descriptive analysis of documents by purposive sampling obtained data. To increase the credibility of research informants using the principle of data saturation. The results of this study show that student's literacy and numeracy skills are still low because teachers' ability in Central Lombok Regency is also considered to have decreased, so the support of parents is considered a servant. This research also shows that the role of geography education lecturers is very significant in measuring literacy and numeracy skills applied to all fields of learning in an integrated manner so that the roles of teachers and lecturers both have an essential role in measuring the literacy and numeracy of elementary school students.Keywords: Lecturer Role, Literacy Ability, Basic Numeracy of Students
Development and Analysis of a Novel Hybrid HBFA Using Firefly and Black Hole Algorithm

The current research trend is to combine two or more alternatives to improve the quality of solutions to practical and contemporary global optimization challenges. Here, in the proposed article, we are hybridizing the Black hole and firefly algorithm to get a better version of both algorithms in terms of exploration and exploitation. Black hole is the latest bio-inspired metaheuristic methodology built on the verifiable reality of Black hole phenomena. Since the Black hole algorithm is effective at exploitation but inefficient at exploration as well as converges very slowly, so hybrid version of Black hole algorithm is proposed with firefly algorithm to overcome the disadvantages. The primary objectives of these alterations are to break out of local minima and strike a balance between exploration and exploitation. Firstly, the firefly algorithm has been applied to initial population, and then, Black hole equation has been used to enhance the solution obtained by firefly algorithm. The performance of the suggested approach is assessed using 15 benchmark problems with different parameters (e.g., best, mean, median, and standard deviation), and numerical and statistical outcomes are compared with standard firefly algorithm. The proposed method has been shown to generate satisfactory results. Further, the proposed algorithm has been applied on NP-Hard Problem, real-life application the quadratic assignment problem; it has been observed that the HBFA performs better while compared with various metaheuristics.
Transfer Learning-Based Convolution Neural Network Model for Hand Gesture Recognition

Hearing-impaired people use signals made by hand to communicate using sign language. Due to large linguistic variation, it is not easy for an ordinary man to understand it, and hence, computer vision researchers see it as a potential research problem. Numerous approaches have been surveyed and proposed in the literature to cope with the problems of recognition of hand gestures. Selecting and segmenting exact hand shapes in complex backgrounds is a big challenge. Thus, despite tailor-made feature engineering, deep learning is seen as an effective approach to handle this concern. In the proposed work, deep learning approaches based on Convolution Neural Network (CNN) that have already been proven in computer vision are analyzed for Kaggle’s American Sign Language (ASL) dataset. Various pre-trained architectures are taken for the experimentation work; the best network is selected and further improved with the optimization technique. AlexNet, GoogleNet, ResNet18, and InceptionV3 are trained, and the effect of variation of optimization techniques, namely Adam, sgdm, and RMSProp is analyzed. Performance parameters such as validation accuracy and testing accuracy are measured to determine the efficiency of the model for each alphabet of sign language. The has been successful in accomplishing the test accuracy of 99.1% for transfer learning of InceptionV3 with a sgdm optimizer.
Evaluation of cloud computing risks using an integrated fuzzy-ANP and FMEA approaches

Despite the considerable benefits of cloud-based services and their effect on the reduction of total investments in information technology (IT) infrastructures, there still exist a plethora of concerns regarding the potential risk of this relatively new method of resource outsourcing. Due to the diversity of activities in the risk management process, it is essential to develop an innovative framework for controlling and streamlining relevant processes. Such processes include the identification, ranking, and determination of relevant exposure strategies and risk responsiveness strategies. The proposed framework developed in this study was based on the risk management process phase of the PMBOK model to analyse the collected data via fuzzy analytical network processing and failure mode effective analysis methods. A survey was then drafted with participating IT experts. Results demonstrate that the three most important risks are data confidentiality, data integrity and reliability. Furthermore, 117 risk-responsiveness solutions such as auditing the scope of access to information, using relevant techniques to control data integrity, and implementing appropriate training programs for the support team within the organisation were recognised and ranked to suggest the most appropriate remedial strategies that extensively mitigate against identified risks.
Diamonds Are Forever

Extended Lambek calculi enlarge the type language with adjoint pairs of unary modalities. In previous work, modalities have been used as licensors for controlled forms of restructuring, reordering and copying. Here, we study a complementary use of the modalities as dependency features coding for grammatical roles. The result is a multidimensional type logic simultaneously inducing dependency and function argument structure on the linguistic material. We discuss the new perspective on constituent structure suggested by the dependency-enhanced type logic, and we experimentally evaluate how well a neural language model like BERT can deal with the subtle interplay between logical and structural reasoning that this type logic gives rise to.
Generating Pragmatically Appropriate Sentences from Logic: The Case of the Conditional and Biconditional

It is widely assumed that there exist mismatches between the connectives of Propositional Logic and their counterparts in Natural Language. One mismatch that has been extensively discussed is Conditional Perfection, the phenomenon in which a conditional sentence is interpreted as a biconditional under some circumstances. The Pragmatics literature has provided valuable insights into the question of whether Conditional Perfection will happen in a given context. In order to make these insights more explicit and testable, we designed an algorithm to generate pragmatically more appropriate sentences from propositional logical formulas involving material implication and biconditional implication. This algorithm was tested in an evaluation by human participants, in which generated sentences are compared against those generated by a simple baseline algorithm. The evaluation results suggest that the designed algorithm generates better sentences, which capture the semantics of the logical formulas more faithfully.
Hand Gesture-Controlled Wheeled Mobile Robot for Prospective Application as Smart Wheelchairs

The wheelchair is used to assist in movement and heavily relied on by people who have significant difficulty in walking. Manual wheelchairs can be used by people with good upper limb strength and dexterity, however people suffering from any kind of locomotive disabilities in the arms would require assistance. This article reports the proof of concept of a smart electric wheelchair that can be controlled by utilizing hand gestures. A prototype with wheeled mobile robot was developed and involved the use of data fusion from sensors mounted on human hand to create a scheme for motor control of the wheels. Hand gesture dependent data from accelerometers and gyroscope were inputs to control the wheelchair in the required direction. The prototype of the wheelchair, PID based controller and a hand mounted sensor unit (HMSU) was able to function reliably and efficiently on urban terrain.
Beyond Sentiment Analysis: Developing Effective Methods for Specific Emotion Analysis in Marketing Using Machine Learning and Big Data

The rise of social networking services has led to a significant increase in user-generated content and electronic word-of-mouth, prompting marketing researchers to focus on sentiment analysis. However, the traditional approach of categorizing emotions as positive or negative has its limitations. Our papers propose an interdisciplinary approach that uses machine learning algorithms and big data to overcome these limitations and detect specific emotions. The thesis presents four papers that go beyond the traditional sentiment analysis, using ML algorithms to analyze large amounts of online text and detect specific emotions. The results show that this approach is effective in predicting customer behavior and attitudes, such as finding relationships between brands, predicting donation behavior, and analyzing social phenomena. Four papers contribute to both marketing and engineering knowledge, as it proposes a more effective approach to specific emotion analysis that goes beyond the traditional positive/negative sentiment analysis. It also uses state-of-the-art ML algorithms to automate the detection of specific emotions in large amounts of online text. Overall, this thesis will provide insights for marketers to understand their customers' emotions and motivations more effectively, enabling them to develop more targeted and effective marketing strategies to drive engagement and conversions.
Predicting and Optimizing Tillage Draft using Artificial Network Technique

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Varietà di lingua nel romanzo di “Quer pasticciaccio brutto de via Merulana” di Carlo Emilio Gadda

This article focuses on the lexical components active in Gadda’s novel “Quer pasticciaccio brutto de via Merulana”. The novel is an exceptional example of plurilingualism, therefore Gadda mixes technical terms, literary elements, Latinisms, Greek terms, new forms, and foreign words and phrases (English, French, German, Spanish). Further the collection of Italian dialects (Roman, Milan, Neapolitan, Venetian), the study intends to provide a stylistic analysis of the innovation of Gadda’s expression in the lexicon. The results of this linguistic fieldwork sets out to demonstrate also the lexicon and terms of the technical-scientific language of Gadda: for example terms and phrases of physics, engineering, mathematics, medicine, chemistry, biology, mechanics, geology, geography, astronomy, philosophy, theology, linguistics and rhetoric; as Gadda has a competence of the technical terms because of his studies as an electrical engineer at the Polytechnic and later his practical experience. It is an analysis, even elementary, of the linguistic composition of Gadd’s prose that can be used to understand the technique of his experimentalism, and how much he knew how to treasure every experience to enrich it and vary it on wider stylistic networks. This linguistic material mixes many ingredients such as: technical and scientific languages, various registers of speech, vernacular, jargons, archaisms, Latinisms, mixed with words of Gadda’s creativity, creating what the French called pastiche.
Varietà di lingua nel romanzo di “Quer pasticciaccio brutto de via Merulana” di Carlo Emilio Gadda

”. The novel is an exceptional example of plurilingualism, therefore Gadda mixes technical terms, literary elements, Latinisms, Greek terms, new forms, and foreign words and phrases (English, French, German, Spanish). Further the collection of Italian dialects (Roman, Milan, Neapolitan, Venetian), the study intends to provide a stylistic analysis of the innovation of Gadda’s expression in the lexicon. The results of this linguistic fieldwork sets out to demonstrate also the lexicon and terms of the technical-scientific language of Gadda: for example terms and phrases of physics, engineering, mathematics, medicine, chemistry, biology, mechanics, geology, geography, astronomy, philosophy, theology, linguistics and rhetoric; as Gadda has a competence of the technical terms because of his studies as an electrical engineer at the Polytechnic and later his practical experience. It is an analysis, even elementary, of the linguistic composition of Gadd’s prose that can be used to understand the technique of his experimentalism, and how much he knew how to treasure every experience to enrich it and vary it on wider stylistic networks. This linguistic material mixes many ingredients such as: technical and scientific languages, various registers of speech, vernacular, jargons, archaisms, Latinisms, mixed with words of Gadda’s creativity, creating what the French called
New SI prefixes extension: ronto(r), quecto(q), ronna(R), quetta(Q)

Large and tiny measurable numbers can be stated on a human size with the aid of SI prefixes while still using SI units. Here are the reasons for the widening of the existing domain of SI prefixes, also suggesting the names and symbols for the multipliers 1030(quetta), 1027(ronna), 10-27(ronto) and 10-30(quecto).The 27th CGPM in 2022 voted to increase the number of SI prefixes that were accessible. The implementation in the SI Brochure, communication, and promotion are successful. It is suggested that there are only potential advantages to broadening the scope of SI prefixes. The new prefixes won't confuse or harm anyone; instead, they will become widely used and familiar among people who require them. However, individuals who don't use them won't ever get familiar with them. Still there will expansion for SI prefixes as the fast running of science and technology and to convey this rapid development in technology .
UTILIZATION OF COURSE REFRESHER IN ASSESSING AND FACILITATING TEACHER-LEARNING (CRAFT) FOR PROFESSIONAL FACULTY DEVELOPMENT

The study aims to identify the utilization of course refresher in assessing and facilitating teacher-learning (CRAFT) for professional faculty development and analyses what makes utilization of course refresher in assessing and facilitating teacher-learning (CRAFT) becomes professional faculty development such as role, understanding, expectation, development of trust and respect, organizational and institutional development culture, and perspective faculty success. Mixed method is utilized in the study through Focus Group Discussion (FGD). It is a combination of quantitative and qualitative research. Likewise, purposive sampling is employed in the study. It is appropriate in collecting the sample population of the target population. It is subjective sampling, selective, and judgmental. The study comprised one hundred seventy-five (175) respondents only. Results show that utilization of course refresher in assessing and facilitating teacher-learning (CRAFT) for professional faculty development promote collaboration and decision making on dynamic converging issues requiring leadership setting, attention, and teamwork goal orientation in the school culture environment, roles, understanding, and expectation shows to build professional development of faculty benefit and ability for personal goals and potentials, development of trust and respect show to have socialization in education provided by the school organization behaviour process of individual employee faculty, organizational and institutional development culture show to promote and engage healthy behaviour in organizational and institutional development culture among faculty and staff to display high professional standards, and perspective faculty success shows to be responsible for academic output and achievement instruction guide task assignment of faculty success and responsibility to improve academic performance and support student success and experience in teaching and learning. Findings show that there is a significant relationship on the course refresher in assessing and facilitating teacher-learning (CRAFT) for professional faculty development as observed by the respondents.
PELAKSANAAN PENERIMAAN PESERTA DIDIK BARU (PPDB) MELALUI SISTEM ZONASI SMA NEGERI KEBAKKRAMAT TAHUN PELAJARAN 2018/2019

&lt;p class="abstrak"&gt;&lt;em&gt;The purpose of this research are to evaluate: &lt;/em&gt;&lt;em&gt;(1) readiness to implement PPDB through a zoning system in Kebakkramat Senior Senior High School 2018/2019; (2) preparation of teachers, principals and vice principals before implementing PPDB through a zoning system; (3) preparation of students and parents in implementing PPDB through a zoning system; (4) supporting facilities and infrastructure in implementing PPDB through a zoning system; (5) the implementation of PPDB through a zoning system in &lt;/em&gt;&lt;em&gt;Kebakkramat&lt;/em&gt;&lt;em&gt; Senior High School 2018/2019; (6) student learning outcomes after implementing the PPDB zoning system; (7) students and parents satisfaction with the policy of implementing PPDB through the zoning system. This research was conducted at Kebakkramat Senior High School. This study used the CIPP model (Context, Input, Process, Product). The population of this study were teachers, principals, vice principals, students and parents. Data collection techniques used is questionnaires distributed to all respondents and interviewing some respondents. &lt;/em&gt;&lt;em&gt;This research was included as fact finding research, which is why instrument reability test was not necessary. Score analysis in range of quality aspects determination for each evaluation components was based on certain criteria. &lt;/em&gt;&lt;em&gt;This research shows results: (1) Kebakkramat Senior High School has implemented PPDB zoning system very well; (2) parents and students have a sufficient condition on implementation of PPDB policy; (3) PPDB has a good readiness on implementing the program through zoning system; (4) students and parents have a sufficient readiness in implementing PPDB policy; (5) the implementation of PPDB through the zoning system runs smoothly; (6) inhibiting factors in the implementation of PPDB through the zoning system is the difficult procedures for the students and parents; (7) PPDB policy through the zoning system narrows students’s school choices; (8) teachers experience obstacles in teaching zoned students; (9) after PPDB is implemented through zoning system, students have lower learning outcomes.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Terror, tech, and transformation: Will emerging technologies revolutionize terrorism?

Forecasts about how terrorists will utilize emerging technologies often outstrip the materialization of actual threats. The concern is not which technologies terrorists can access, but rather which will prove transformative to the terrorist cause, as the Internet has. These forecasts can be bettered through the application of an adoption model and the concept of proof of practicality. Utilizing these conceptualizations, it is possible to assess if and how emerging and increasingly commercialized technologies like 3D printing, commercial drones, and synthetic biology may be utilized by terrorist organizations both now and in the future.
Verification of the Relationship between Academic Motivation, Growth Mindset, Academic Expectations, and Academic Adaptation of Beauty Majors

The purpose of this study was to find out the intrinsic and extrinsic motivations of 373 middle school students, high school students, male and female students in Seoul, and to identify the relationship between the academic adjustment of beauty major youth, and to study individual learning. It is to foster academic adaptation to a positive academic environment by improving the level of motivation for students. As a research method, the correlation between variables was investigated through Pearson's correlation coefficient, and structural equation analysis was conducted to find out the relationship between variables, and SPSS 21 and AMOS 18 were used. As a result of the study, academic motivation had a positive effect on academic adjustment, and the moderating effect of academic expectations on academic motivation, growth mindset, and academic adjustment showed statistically significant results. It was confirmed that academic motivation and growth mindset, which are intrinsic motives, and academic expectations, which are extrinsic motives, have an integrated impact on academic adjustment of beauty major learners. In future research, we suggest a longitudinal study to find out about academic adjustment through comparison between students majoring in the arts and physical education and students majoring in general fields.
Science in Art Networks. How art and education intertwine in the project “Rhizosphere: The Big Network of Small Worlds”

h e p a s 3/71/2021As revolutionary advances in science and technology make the world increasingly complex, initiatives that combine science and art become more important than ever."Rhizosphere: The Big Network of Small Worlds" is a project that brings together art, science, and technology.
EGYPT: Cheaper Food

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 1 p. 24156B-24156C Policy and Practice EGYPT: Cheaper Food First published: 13 March 2023 https://doi.org/10.1111/j.1467-6346.2023.10964.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume60, Issue1March 2023Pages 24156B-24156C RelatedInformation
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 1 p. I-I Full Issue Full Issue First published: 13 March 2023 https://doi.org/10.1111/j.1467-6346.2023.10949.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Volume60, Issue1March 2023Pages I-I RelatedInformation