Reviewerly/exHarmony huggingface dataset:
Learning to Predict Page View on College Official Accounts With Quality-Aware Features

At present, most of departments in colleges have their own official accounts, which have become the primary channel for announcements and news. In the official accounts, the popularity of articles is influenced by many different factors, such as the content of articles, the aesthetics of the layout, and so on. This paper mainly studies how to learn a computational model for predicting page view on college official accounts with quality-aware features extracted from pictures. First, we built a new picture database by collecting 1,000 pictures from the official accounts of nine well-known universities in the city of Beijing. Then, we proposed a new model for predicting page view by using a selective ensemble technology to fuse three sets of quality-aware features that could represent how a picture looks. Experimental results show that the proposed model has achieved competitive performance against state-of-the-art relevant models on the task for inferring page view from pictures on college official accounts.
The Impact of Leadership Strategies on the Performance of Faculty Members in Jordanian Universities

The study aimed to identify the impact of leadership strategies on the performance of faculty members in Jordanian universities. The study relied on the descriptive analytical method. The study population consisted of faculty members working in the universities of southern Jordan. The study sample consisted of (260) faculty members, who were chosen randomly. The results showed that the impact of leadership strategies on the performance of faculty members in Jordanian universities came to a high degree, and the arithmetic mean of the estimates of faculty members from the study sample was (3.80), and this result reflects a high and distinct role for the impact of leadership strategies on the performance of faculty members in Jordanian universities. The study recommended the need for Jordanian universities to pay attention to the performance of faculty members in the field of leadership and leadership strategies. Jordanian public universities should adopt the creative ideas of faculty members and students, support them and communicate them to those interested in public and private institutions.
MANUSCRIPT PUBLICATION MONITORING SYSTEM

Publication is the process of making of a book or a journal available for general public. Publication consists of many steps and consume a lot of time beforesuccessfully publishing a book or a journal. Nowadays, most publication companies use online publication system to manage their works as it is simpler, easier and moreconvenient. As Universiti Malaysia Sarawak (UNIMAS) Publisher does not have a publication system of their own, they can only manage their publication manually.Therefore, the main purpose of this project is to develop and design a manuscript publication monitoring system to help reduce the workload of UNIMAS Publisher and shorten the time taken for the publication process.
Liability And Emerging Digital Technologies: An EU Perspective

Emerging digital technologies (EDTs), e.g. Internet of Things and of Services (IoT/IoS), Artificial Intelligence (AI), advanced robotics and autonomous vehicles (AV), can lead to fundamental discoveries, opening up new possibilities, and significantly improving the lives of many – in particular by bringing major benefits to our society and economy through better healthcare, more efficient public administration, stronger democratic processes, safer transport, a more competitive industry and sustainable farming. However, as smart machines develop in a way that makes them pursue their tasks with diverse degrees of autonomy, their new and enhanced potential brings in risks – or increases the existing ones – for both those who offer them and those who use them. This scenario raises challenges for regulators and policymakers that have to face the ontological difficulty of foreseeing and possibly controlling the impact of EDTs on economy and society, to make sure that they are human-centric, ethical, explainable, sustainable and respectful of fundamental rights and values.Against this background, the paper addresses the adequacy and completeness of liability regimes in the face of new challenges raised by the use of EDTs by identifying the normative foundations on which a liability regime for new technologies should be built on. In doing this it focuses on the current European liability regime and seeks first to ascertain whether it is fit for the new digital environment and, second, to envisage possible measures to face the new reality balancing the need to minimize the risks deriving from the use of EDTs with the need to capitalize on the benefits of innovation.
Operador matemático LFC(n,k) en campos finitos basado en concatenación fractal para GF(2m) – Extendido LFC (n,k) mathematical operator in finite fields based on fractal concatenation for GF (2m) - Extended

Esta investigacion presenta el estudio de las operaciones extendidas en campos finitos LFC - Linear FeedBack Concatena-ted, a partir de aplicaciones computacionales como los codigos Reed Solomon, que optimiza el manejo de funciones ma-tematicas compuestas, desde el tratamiento fractal de los operadores, para campo finito algebra GF (2m). Se ha determina-do una ecuacion que describe la concatenacion fractal de estos operadores en campos finitos: rt = & rt-1 (i-1) [(d(i) rt-1 (n-k-1)) g(i)] Donde R(x) corresponde a la operacion matematica LFC (n,k), que resulta entre D(x) y G(x), aplicando concatenacion frac-tal de productos en campos finitos, siendo reformulada por el operador matematico: rt = & rt-1 (i-1) ( d(i) rt-1 (n-k-1)t and g(i)t ) De esta forma, el producto interno se obtiene por un elemento del campo finito GF (2m), para cada coeficiente del polino-mio generador del LFC. El operador definido aqui presenta un campo de aplicacion en sistemas de control con variables acotadas. Se ha estudiado el campo de aplicacion en la ingenieria del modelo matematico desarrollado, reorganizando los operadores basados en la funcion LFC (n,k), para sistemas regenerativos. Se proporciono la configuracion del modelo con la etapa de adaptacion del sistema de transitorio y la retroalimentacion lineal en el regimen permanente. Se establece asi, un modelo unico que simplifica la adaptacion a nuevas aplicaciones. This research presents the study of the extended operations in finite fields LFC - Linear FeedBack Concatenated, starting from computational applications such as the Reed Solomon codes, which optimizes the handling of compound mathemat-ical functions, from the fractal treatment of the mathematical operators, for finite field algebra GF(2m). An equation de-scribing the fractal concatenation of these operators on finite fields has been determined: rt = & rt-1 (i-1) [(d(i) rt-1 (n-k-1)) g(i)] Where R(x) corresponds to the mathematical operation LFC (n,k), resulting between D(x) and G(x), applying fractal concat-enation of products in finite fields, being reformulated by the mathematical operator: rt = & rt-1 (i-1) ( d(i) rt-1 (n-k-1)t and g(i)t ) In this way, the internal product is obtained by an element of the finite field GF(2m), for each coefficient of the generating polynomial of the LFC. The operator defined here presents a field of application in control systems with bounded variables. The field of application in the engineering of the developed mathematical model has been studied, rearranging the opera-tors based on the LFC (n,k) function, for regenerative systems. A description algorithm VHDL - seed code of self-generation was provided for the configuration of the model with the adaptation stage of the transit system and the linear feedback in the permanent regime. A unique model is established that simplifies the mode and adaptation for new applications.
LibGuides: Lee Connected Collaboration: The Curriculum Link to Graphic Novels

Graphic Novels have become a popular format among students and it is time to capitalize on that interest. Learn how to use them to capture a readers’ interest while teaching your curriculum.
The problem of the unconscions mental in artistic creation

The article "The problem of the unconscious mental in artistic creation" is devoted to the analysis of the unconscious in artistic creation. The study of artistic creation is scientifically necessary both from the point of view of consciousness and from the point of view of the unconscious. The unconscious is one of the urgent, but insufficiently studied problems. The article describes the elements of the unconscious, with the help of which the author conducts a psychological analysis. Key words: instincts, conflicting feelings, inclinations, love, unconscious motives
Management of Produced Water from Niger-Delta Oil Fields Using a Local Material

Produced Water (PW) from petroleum reservoirs often contains heavy metals and other contaminants that are harmful to the environment. Most of the commonly used treatment techniques have been reported to be ineffective in reducing some of the contaminants’ concentrations to recommended disposal levels. This study was designed to evaluate the effectiveness of bio-adsorbent (orange peel) for treating PW from Niger Delta oil field. A 2.0 m steel adsorption column (0.4 m internal diameter) having four treatment compartments was designed and constructed using standard procedures. Orange peel was washed thoroughly with distilled water, sun-dried (4 days during harmattan period) and oven-dried at 105±5oC for 3 hours. It was ground into powder, sieved (150 and 300 microns,), and then washed with 0.4mol/L HNO3, filtered and rinsed with distilled water to remove any pigment that might interfere with the result. Sample of PW was obtained from field R in the Niger Delta and analysed for heavy metals using an Atomic Absorption Spectrophotometer (AAS). Sample was treated in adsorption column over 3 hours using 150 micron size of adsorbent. Treatment was repeated with 300 micron size. Treated sample was analysed with AAS and characterized. Adsorptions of heavy metals were evaluated using Langmuir and Freundlich models. Data were analysed using regression and ANOVA at α0.05. Concentrations of lead, nickel, cadmium, copper and Barium in PW from field R reduced by 96.2, 47.2, 78.6, 96.1and 42.1 percent, respectively after four hours of treatment with i50 micron size, and for 300 micron size, the concentrations of the same metals reduced by 3.0, 88.8, 57.1, 11.8 and 18.4 percent respectively. The concentrations of other metals were equally reduced to an acceptable limit. The finer adsorbent was more effective. Langmuir model best described the adsorption of lead with isotherm R2 of 0.97, while Freundlich isotherm described the adsorption of nickel and iron, with isotherms R2 of 0.84 and 0.93 respectively. Produced water from Niger Delta oil field was effectively treated of contaminants using orange peel with 150 micron size gave the best result.
Machine Learning for Simple Gesture Interpretation Using Opencv

Gesture recognition system makes the interaction between human and the computer. Gestureis based on face or hand movement. Theunpopularitytechniquesareusedfor extraction of statistics from the captured gestures. Drag and drop operations at the side of different mouse actions. Thiscould be beneficial for the coaching method involving projectors. Thiswill conquer the restrictions a corporeal device has could increase the enjoy of interaction to the users. The implementation of openCV in python for a gesturereputationsystemforthefunctionalitiesof themouse. The method used will offer us with a better manner of teaching through projectors and also can do simple mouse operations without the use of the mouse. This allows the presentations, seminars in an effective and efficient manner.
The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels

Most of us are not experts in specific fields, such as ornithology. Nonetheless, we do have general image and language understanding capabilities that we use to match what we see to expert resources. This allows us to expand our knowledge and perform novel tasks without ad-hoc external supervision. On the contrary, machines have a much harder time consulting expert-curated knowledge bases unless trained specifically with that knowledge in mind. Thus, in this paper we consider a new problem: fine-grained image recognition without expert annotations, which we address by leveraging the vast knowledge available in web encyclopedias. First, we learn a model to describe the visual appearance of objects using non-expert image descriptions. We then train a fine-grained textual similarity model that matches image descriptions with documents on a sentence-level basis. We evaluate the method on two datasets (CUB-200 and Oxford-102 Flowers) and compare with several strong baselines and the state of the art in cross-modal retrieval. Code is available at: https://github.com/subhc/clever.
Syntactic Errors of Foreign Speakers in Learning Indonesian: A Case Study of Darmasiswa Learning Process in Semarang City

This research was conducted in the city of Semarang with a case study of Diponegoro University. The study shows that a syntax error in the form of a sentence is not complete, the use of the word di mana (which) it is not appropriate, the construction preposition owner, the use of the word yang (that) , the error sequence of words, sentences without a subject and object, misuse of conjunctions and prepositions, improper use of the passive or active voice, foreign language interference, and misuse of pronouns. The factors causing the error are the influence of the mother tongue, the limited repertoire of the students, and the lack of practice in speaking and writing in Indonesian. To overcome these obstacles, a curriculum design that emphasizes language skills is required; accompanied by Semester Learning Plans for all learning subjects along with textbooks and the learning methods used are emphasized on communication skills. An Indonesian language learning process for foreign speakers will be more successful if it involves environmental, cultural, and local wisdom factors that are carried out in an integrated manner.
MENGEMBANGKAN KEMAMPUAN BAHASA ANAK MELALUI KEGIATAN BERMAIN PERAN DI PAUD AZZAHRA

AbstractAbstract: The ability of teachers to manage role playing learning is one of the attractions of children who can affect children's language skills. The purpose of this study is to describe the implementation of the role playing center, the role of the teacher, and the process of language learning through the technique of using an early childhood role playing center. The research method is descriptive-qualitative. Data collection techniques such as interviews, observation, and documents. The findings obtained include preparing a role playing learning plan, role playing activities require the full involvement of children, especially in the space and time of its application and the role of the teacher in building creative learning to improve children's language skills. This study concluded that the process of developing language skills in children is not enough to be done only once in the role playing learning center. Instead, it needs to be done repeatedly in the process of applying it by determining the themes in learning center playing roles differently. Thus, the role of the teacher is very important in building creativity in managing learning in the classroom.
Reflections on Ubiquitous Visualization

This chapter provides an outlook into the future of mobile visualization, in which we anticipate a growing emphasis on \emph{ubiquitous visualization}. Interviews were conducted with four renowned researchers who have explored data visualization in novel settings with new modalities and technologies that go beyond mobile devices. The interviews were synthesized to produce an overview of ubiquitous visualization research. The chapter reports on the discussions with our interviewees and distills important themes along with their visions for the future of ubiquitous data visualization. Scenarios for this emerging research area are discussed together with a reflection on the specific dimensions that go beyond mobile data visualization.
Peluang Dan Tantangan Pembelajaran Daring Pada Masa Pandemi Covid-19 Dalam Perspektif Mahasiswa

The almost two-year-long Covid-19 epidemic has altered the world order. This illness affects many spheres of life, including education. The government has a policy of restricting activities that involve direct human interaction. Learning that was previously conducted face-to-face in schools and on campuses is now conducted remotely, or through what is commonly referred to as online learning. This is done specifically to prevent and reduce the spread of the Covid-19 virus. The purpose of this study is to determine the advantages and disadvantages of online learning from the perspective of students. The study employed descriptive quantitative techniques on a sample of 253 STIE Jayakarta Jakarta students. The findings indicated that the majority of students attended online lectures from their homes, with the majority residing in Jabodetabek. Online education makes it easier to comprehend information and learning materials because the majority of these students are millennials who are already familiar with technology. However, the results of this study indicated that the majority of students believed that online learning was no better than offline or face-to-face instruction.
Optimal bounds on the speed of subspace evolution*

By a quantum speed limit one usually understands an estimate on how fast a quantum system can evolve between two distinguishable states. The most known quantum speed limit is given in the form of the celebrated Mandelstam-Tamm inequality that bounds the speed of the evolution of a state in terms of its energy dispersion. In contrast to the basic Mandelstam-Tamm inequality, we are concerned not with a single state but with a (possibly infinite-dimensional) subspace which is subject to the Schroedinger evolution. By using the concept of maximal angle between subspaces we derive optimal bounds on the speed of such a subspace evolution. These bounds may be viewed as further generalizations of the Mandelstam-Tamm inequality. Our study includes the case of unbounded Hamiltonians.
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

We present a neural analysis and synthesis (NANSY) framework that can manipulate voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have focused on using information bottleneck to disentangle analysis features for controllable synthesis, which usually results in poor reconstruction quality. We address this issue by proposing a novel training strategy based on information perturbation. The idea is to perturb information in the original input signal (e.g., formant, pitch, and frequency response), thereby letting synthesis networks selectively take essential attributes to reconstruct the input signal. Because NANSY does not need any bottleneck structures, it enjoys both high reconstruction quality and controllability. Furthermore, NANSY does not require any labels associated with speech data such as text and speaker information, but rather uses a new set of analysis features, i.e., wav2vec feature and newly proposed pitch feature, Yingram, which allows for fully self-supervised training. Taking advantage of fully self-supervised training, NANSY can be easily extended to a multilingual setting by simply training it with a multilingual dataset. The experiments show that NANSY can achieve significant improvement in performance in several applications such as zero-shot voice conversion, pitch shift, and time-scale modification.
DESIGNING A MOBILE APPLICATION FOR FOOD DELIVERY SERVICE ON CAMPUS

This study is conducted to help the campus community especially students to easily purchase and manage their meal time. Most of the student with a full schedule tends to skip their meal. Therefore, this study suggests designing a mobile application for food delivery service on campus by considering the price and menu attributes.
The Instuments for the Development of Universal Logical Skills of Analysis and the Culture of the Transmission of These Skills in the Process of Professional Training of Mathimatics Teachers

General logical universal learning activities (analysis, synthesis, comparison, etc.) in studies of the theory of development of universal learning activities are often represented by generalized formulations such as «text analysis», «analysis of the formulation of a theorem», «synthesis of information», etc. This approach does not allow to evaluate the level of complexity of a cognitive action, to determine its specificity, and to distinguish the levels of possession of this cognitive action. The article deals with the approach to forming the general logical action of analysis, which is based on the concept of funding, developed by E.I. Smirnov, V.D. Shadrikov. The methodological principle of the research is associated with various aspects of the system-activity and competence-based approaches to the organization of teaching students of pedagogical specialties. The aim of the article is to develop an approach to the design of teaching tools aimed at the formation of the general logical action of analysis. Results. The article describes the preparatory stage of the implementation of the concept of funding general logical cognitive actions in the training of students of pedagogical direction. The approach to the level differentiation of cognitive action of analysis is proposed. The types of analysis and their manifestations in mathematical and socio-humanitarian disciplines are considered. In conclusion, the necessity of differentiating the analysis in the organization of funding of this action is justified.
Implications of Blockchain Technology on Marketing

Trust issue gradually becomes more of a concern in the 21st century business environment. Recent research sheds light on the erosion of trust to brands on a global basis. Traditionally, trusted third parties take place to ensure the trust needed for business transactions to take place. Digitization, advances in peer-to-peer networks and cryptographic technologies have advanced to such a point that exchange of currency, as in the case of Bitcoin, and even value as in the case of property rights, securities, ownership etc. can be done over Internet with Blockchain technology serving as a trust layer baked into the protocol. Blockchain technology serves as the missing trust layer in the evolution of Internet. This paper explores implications of Blockchain technology on marketing discipline from various aspects. The paper pinpoints the key strategies marketers need to adopt to survive in the rapidly evolving business landscape. Finally, conclusions are drawn regarding future direction of marketing as affected by those technological advances.