Reviewerly/exHarmony huggingface dataset:
Towards Robust Dynamic Network Embedding

Dynamic Network Embedding (DNE) has recently drawn much attention due to the dynamic nature of many real-world networks. Comparing to a static network, a dynamic network has a unique character called the degree of changes, which can be defined as the average number of the changed edges between consecutive snapshots spanning a dynamic network. The degree of changes could be quite different even for the dynamic networks generated from the same dataset. It is natural to ask whether existing DNE methods are effective and robust w.r.t. the degree of changes. Towards robust DNE, we suggest two important scenarios. One is to investigate the robustness w.r.t. different slicing settings that are used to generate different dynamic networks with different degree of changes, while another focuses more on the robustness w.r.t. different number of changed edges over timesteps.
Evaluation of Global Solar Radiation Estimated from ECMWF-ERA5 and Validation with Measured Data over Egypt

Solar energy is a big source of renewable energy and, luckily, solar energy is very rich in Egypt and the eastern Mediterranean region.The validation of the global solar radiation from the reanalysis data The European Center for Medium-Range Weather Forecast ECMWF-ERA5 by using the parameters from data elements and to deduce a new model to give a good representation of the GSR distribution when compared with measured data. The estimation of global solar radiation (GSR) distribution over Egypt during the period time from 2017 to 2019. Evaluated and a comparative assessment of the models was carried out using measured GSR at Helwan (29.82 ᵒN, 31.29ᵒE) and Suez (31ᵒN.32ᵒE) sites are done. Database:The European Center for Medium-Range Weather Forecast (ECMWF) recently released its most complex reanalysis product ERA5 data set. This method has been developed and manufactured, giving it more advantages than ECMWF's previously released ERA-Interim reanalysis products. It has better spatial resolution, can be archived every hour, and uses more advanced assimilation methods and merges more data sources.Results: showed that the model could predict the pattern of the measured monthly, daily mean of GSR for the entire period. The correlation coefficient (R) is equal 95% and 97% of GSR for Helwan and Suez respectively. The outputs from our proposed model for monthly global solar radiation distribution over the period of study is given, and  the maximum value 7.5 KWh/m2and the minimum are 3 KWh/m2. The values of RMSE of GSR-ERA5 and GSR-estimated for Helwan and Suez sites are 0.275, 0.446 and 0.2, 0.36 (KWh/m2) respectively. The values of MABE of GSR-ERA5 and GSR-estimated for the two station Helwan and Suez is 0.014, 0.023 and 0.007, 0.03 (KWh/m2) respectively. Finally the proposed model was used to give an indication of the GSR distribution over Egypt.
Open Source Intelligence and its Applications in Next Generation Cyber Security - A Literature Review

Purpose: Research serves as a springboard for new ideas, and every scholarly research begins with a review of the literature. This literature review to familiarize oneself with the domain of research and to establish the credibility of the work. It also aids in the integration and summarization of the subject. Methodology: The necessary literature on the chosen topic have been gathered from multiple secondary data sources such as journals, conference proceedings, books, research papers published in various reputable publications, and then shortlisted the literature which are relevant for the work. The shortlisted literatures were carefully evaluated by reading each paper and taking notes as needed. The information gathered is then analyzed in order to identify the problem areas that may exist in the chosen topic. Findings/Result: It has been observed that the chosen topic, Opensource Intelligence (OSINT) practice requires more robust and intelligent solutions from AI and its subfields. The capability of OSINT for intelligent analysis strengthens tightly integrating machine learning and automated reasoning techniques. To avoid human errors, the dependency on humans in decision-making ought to reduce. To eradicate any incorrect information, a truth discovery process is mandatory. OSINT is able to discover new knowledge by correlating intelligence from other OSINT sources. Even though Artificial Intelligence has entered the OSINT field, there is still a long way to go before OSINT fully prepares for the much-anticipated Web 3.0. Originality: A literature review have had been carried out using secondary data gathered from various online sources, and new knowledge in the form of findings was derived in order to construct a theoretical framework and methodology for future research. It has been ensured that no judgments or decisions are made with a biased mindset or under the influence of any predetermined mentality. A concerted effort has been made to identify a research topic for further investigation. Paper Type: Literature Review.
Machine learning with multimode fibers

A novel optical computing framework by harnessing spatiotemporal nonlinear effects of multimode fibers for machine learning is presented. With linear and nonlinear interactions of the spatial fiber modes, a brain-inspired computation engine is experimentally realized.
High performance for hybrid GSA–PSO algorithm

This paper speaks to the changed Tropos objective model for handling the danger related with the product advancement cycle. Here the modification is done by the hybrid optimization algorithm. The tropos model will be improved by selecting the optimal candidate solution by using Hybrid Gravitational Search Algorithm – Particle Swarm Optimization algorithm. The proposed approach characterizes a strategy to dissect the relationship between the hubs of each layer to assess their odds of raising the dangers. Here the risks are prioritized and which are identified by the improved Tropos method. The obtained results show that, the proposed optimization-based goal model has delivered better performance in terms of time and memory requirement when compared with the normal model and also the risk and cost of the proposed model is proved to be more efficient than existing model.
Analysis of Distance Learning in the Professional School of Systems Engineering and Informatics

The distance modality exponentially accelerated the use of technological tools in times of pandemic.In this context, educational institutions at all levels implemented actions to strengthen teaching work through training.The present study was carried out in the University of Sciences and Humanities considering the distance teaching process that is based on three dimensions: teaching strategy, resources and pedagogical materials, and evaluation.The study objective to analyze the distance learning process in its 3 dimensions to propose solutions in virtual teaching.The applied methodology was of a mixed approach; that is, qualitative through focus group and quantitative through student survey.The student population of 159 and a sample of 113 with a confidence level of 95% and margin of error 5%.The result obtained in the focus group shows that teachers have difficulties in the application of teaching strategies in the virtual modality evidenced in the management of digital tools, elaboration of rubrics to evaluate learning, and in the use of resources and pedagogical materials.This is complemented with surveys that show partial acceptance of teaching work in the distance modality; that is, the teaching strategy has an average of 3,76 and standard deviation (S.D) ,63 and 58,41% agrees with the teacher's teaching strategy; likewise, the pedagogical resources and materials dimension was obtained an average of 3,72 and S.D ,74 and agrees 51,33%.Also in the evaluation, an average of 3,76 and S.D ,72 were obtained with a 55,75% according to the way the teacher evaluates.The research work serves as input for future curricular designs in the distance modality.
PENGARUH PENDAMPINGAN ORANG TUA PADA PEMBELAJARAN DARING TERHADAP KECERDASAN EMOSIONAL

The study consisted of two variables, namely the parent's companion variable as independent variable (X) and the emotional intelligence variable as dependent variable (Y). This study aims to determine the description and describes the influence of parental mentoring on online learning to the emotional intelligence of elementary school students during the Covid 19 pandemic. This study uses a type of quantitative survey research methodology. The Data is obtained by using questionnaire that is distributed to respondents were 58 students and parents of class V at SDI Al-Azhar 7 Kota Sukabumi. The validity test is carried out using the Product Moment formula and the Realibility test using the Alpha Cronbarch Approach. The distribution of these questionnaires are conducted online through Google forms. Data analysis techniques use a correlation coefesien and a simple linier regression formula with the help of SPSS of the first hypothesis test () or = 0.637 with the significance of 0.000 compared to α = 5% then the 0.000 of < 0.05 then rejected accepted. And a regression equation on the influence of parental accompaniment to emotional intelligence i.e. Y = 68,854 + 0.681 X. So this indicates that each addition of one value accompaniment of parents will add value to emotional intelligence hence the variable parental mentoring of the variable emotional intelligence has influence.
Assessing the Impact of Transition from Face-to-Face to Online Instruction on Team Cooperation

Her research interests include data-driven decision making through data visualizations, economic decision making in engineering design, and applications of game-theoretic and agent-based modeling in computational science, finance, information technology, and engineering fields.Dr
High dimensional frequency-bin entanglement from domain engineered parametric downconversion

We demonstrate the generation of high-dimensional frequency entangled photon pairs using domain engineered parametric down conversion. A natural application of this source would be multi-user quantum key distribution using ITU standard wavelength division multiplexing systems.
Supplying of Active Fire Protection System (APAR) in Pulo Asem Area Jakarta Timur to Increase Safety Awareness for the Community

Among the world record occupational safety and health (K3) accidents, the death toll in a fire is ranked just below natural disasters such as the earthquake and tsunami. Almost every type of building and almost every country in the world has experienced a history of devastating fires, whether in hotels, nightclubs, hostels, agriculture, shops or fuel depots, included a house. The question we must ask ourselves is ‘why has this tragedy occurred repeatedly and what have we learned from disasters over the past 100 years to strengthen preventive measures globally? There are three basic requirements that a fire can occur and get bigger:&#x0D; &#x0D; The presence of fuel or flammable materials;&#x0D; The existence of a lighter source; and&#x0D; The presence of oxygen in the air to support combustion.&#x0D; &#x0D; The ability to manage and reduce the risks associated with these three elements will greatly reduce the likelihood of a serious fire. So, our obligation as academics to provide knowledge and counseling about the danger of fire to the community so that they understand the danger of fire and can-do prevention and control, in addition to increasing awareness of fire hazards to create a safe and comfortable atmosphere in our environment.
Utilizing Smartphones to Enhance Students ‘Learning of English Language

Technology plays a momentous role in almost all the fields mainly far –reaching in educational field. It provides creative freedom, endless resources and learning materials. In the current scenario, students engage themselves in the recent technological advancements which not only kill their time but also entertain them all the time. So, the Teachers can take up these technological tools in their hands to inculcate English language to the younger generation instead of following the traditional method of teaching. Now-a-days, Smart phones have reached all the hands in the world including the rural people and made everything easier. By using smart phones effectively in Language classrooms, English language teachers can provoke interest among the non –native learners in learning English Language. Smart phone is a tool which presents visually attractive materials to the students that would be very much appealing to the second language learners. Through this, the four basic communication skills (LSRW Skills) of the second language learners can be enriched and refined .Thus, this paper predominantly focuses on the pros and cons of using smart phones in learning English based on the feedback accrued from the undergraduate students .
Experimental investigation of the role of coherent measurements in quantum metrology

We report an experimental investigation of the role of measurement in quantum metrology when the states of the probes are mixed. In particular, we investigated optimized local measurements and general global projective measurements, involving entangling operations, on noisy Werner states of polarization entangled photons. We demonstrate experimentally that global measurement presents an advantage in parameter estimation with respect to the optimized local strategy. Moreover, the global strategy provides unambiguous information about the parameter of interest even when the amount of noise is not well characterized. This shows that the coherence in quantum operations, such as the Bell-state projection device used in our protocol, can be used to further boost the quantum advantage in metrology and play a fundamental role in the design of future quantum measurement devices.
EFL STUDENT’S PROBLEMS WITH PARAGRAPH WRITING AT TAY DO UNIVERSITY, VIETNAM

This paper studied problems in EFL students’ paragraph writing. The research participants were first-year students of English in Tay Do University (TDU). To achieve the desired aims of the current study, the researcher combined both qualitative and quantitative methods, using questionnaires, interviews, and observations as the main instruments. The researcher used the package of social sciences (SPSS) for analysis. Research results showed that the freshmen at TDU often encountered problems in writing paragraphs. These accounted for grammatical structures, vocabulary, and coherence. Basing on the research results, students could recognize their difficulties when writing and find some new ways to overcome them. It is suggested that teachers should find and update some new teaching methods so as to develop students’ paragraph writing skills.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0920/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Design of Scale-, Shift- and Rotation-Invariant Diffractive Optical Networks

We quantify the sensitivity of diffractive optical networks’ inference accuracy against input object variations in the form of translation, rotation, and scaling, and present a new training methodology that enables diffractive networks to maintain their classification performance despite such object variations at the input field-of-view. Our analyses on all-optical classification of handwritten digits reveal that this new training scheme provides blind inference accuracy gains of >50%, >30% and >30% for randomly shifted, rotated and scaled input objects, respectively, demonstrating its efficacy. These results are important for using diffractive optical networks in various machine vision applications involving dynamic objects and environments.
Access to algorithms post-Robodebt: Do Freedom of Information laws extend to automated systems?

This article analyses how current Freedom of Information (FOI) laws apply to automated decision-making systems. The authors argue that while current law may extend to automated systems, its application is unclear, both to practitioners and government. Instead, amendments to the FOI Act 1982 (Cth) could clarify how the law operates with respect to automated systems and better balance the underpinning objectives of the Act.
Methods To Identify Facial Detection In Deep Learning Through The Use Of Real-Time Training Datasets Management

Here we  focuses on facial recognition with novel methodology utilizing key point coordinating philosophies. Conventional algorithms have been utilized with   different methodologies also. The paper has dealt with a drawback of masked target and better results in recognition. The implemented results clearly explains that the proposed masked objective function is very reliable, tough and more efficient in training CNNs on datasets that have missing target values.. As from today’s perspective user takes the database of real time images (masked, colleagues official photos) and gets a result better than previous work and also make our work in current scenario.The accuracy level is increased by the 40% level by the augmented data in the training data in order to avoid over fitting.
Improving The Ability To Recognize Number Symbols Through The Manipulative Numbers Dice Game In Children Ages 3 – 4 Years

Based on the observations of researchers at PG Mutiara Cita Hati Sidoarjo, they found a problem in PG TK Mutiara Cita Hati Sidoarjo, namely the difficulty of children aged 3-4 years in knowing numbers. Whereas out of 16 children aged 3 - 4 years (PG), there are 10 children who do not know numbers well. The process of counting, namely adjusting between what is spoken and the number / results of the objects collected and counted is still not correct. This situation occurs because the learning is not in accordance with the learning theory. To be able to solve the problems listed above, the researchers made a game that can improve children's ability to recognize the symbol of numbers. Through this game, it can make it easier for children to understand and absorb lessons because the atmosphere is fun. In this study, it can be concluded that the application of the numerical dice manipulative game can improve the ability to recognize number symbols. This is indicated by an increase in the ability to count concepts in each cycle. Before the action and pre-cycle was 33.33%, 60% first cycle and 93.33% cycle II. In the stage of recognizing the symbol of numbers, all stages are carried out using the application of the number dice manipulative game&#x0D;
Review of Environment Perception for Intelligent Vehicles

Overview of environment perception for intelligent vehicles supposes to the state-of-the-art algorithms and modeling methods are given, with a summary of their pros and cons. A special attention is paid to methods for lane and road detection, traffic sign recognition, vehicle tracking, behavior analysis, and scene understanding. Integrated lane and vehicle tracking for driver assistance system that improves on the performance of both lane tracking and vehicle tracking modules. Without specific hardware and software optimizations, the fully implemented system runs at near-real-time speeds of 11 frames per second. On-road vision-based vehicle detection, tracking, and behavior understanding. Vision based vehicle detection in the context of sensor-based on-road surround analysis. We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor–vision fusion for on-road vehicle detection. The traffic sign detection detailing detection systems for traffic sign recognition (TSR) for driver assistance. Inherently in traffic sign detection to the various stages: segmentation, feature extraction, and final sign detection.
Survey on cryptographic algorithms in cloud computing

In the modern world, many companies and organizations manage a lot of data and they require a platform to store this data. So to fulfill this purpose cloud computing is introduced. Cloud is a platform where we can store the data, files, media etc. in a way that we can access it at any time and perform modifications to it.So when a user or any company stores its data in a trusted cloud , the main duty of the cloud service provider is to ensure the safety of the data. That is the data should be stored efficiently without any errors or discrepancies. It shouldn’t be accessed by unauthorized users or any malicious attackers because that data in the wrong hands can cause a lot of damage.To overcome the drawbacks in the cloud computing and make it more secure and efficient, we have come up with cloud cryptography. This is done to ensure that the data is properly stored and is safe inside the cloud. This paper gives the idea of what is cloud cryptography, why is it needed and its pros and cons.. It describes some of the different techniques of cryptography and compares them.
The features of the formation of ethno-value consciousness in the modern Kazakh Pedagogical University

The specifics of the conditions for the formation of the ethno-value consciousness of future teachers based on a comprehensive approach to mastering their ethnic knowledge and skills in the process of competence and activity approaches is the goal of study. The authors used a synergistic approach based on competence-based and activity-based approaches. These approaches include the following methods: interiorization of internal cognitive activity with cross-cultural, cross-competent, cross-linguistic analyses, the method of emotional experience; frame modeling method, competence approach, psycholinguistic and pedagogical experiments. The results the essence of the ethno-value consciousness of the individual is determined; the types of values reflected in the ethno-value consciousness of the individual in the mental form are described, its specificity is revealed; the definition of the ethno-value competence is given and its components are clarified; it is proved that the main methods of forming the ethno-value consciousness of the individual is the event-activity method of reproducing the cultural scenario in order to actualize the cultural space. The results of the study can make a certain contribution to the theory and practice of ethnopedagogical education of students.
Application of an artificial intelligence algorithm model of memory retrieval and roaming in sorting Chinese medicinal materials

In order to capture autobiographical memory, inspired by the development of human intelligence, a computational AM model for autobiographical memory is proposed in this paper, which is a three-layer network structure, in which the bottom layer encodes the event-specific knowledge comprising 5W1H, and provides retrieval clues to the middle layer, encodes the related events, and the top layer encodes the event set. According to the bottom-up memory search process, the corresponding events and event sets can be identified in the middle layer and the top layer respectively; At the same time, AM model can simulate human memory roaming through the process of rule-based memory retrieval. The computational AM model proposed in this paper not only has robust and flexible memory retrieval, but also has better response performance to noisy memory retrieval cues than the commonly used memory retrieval model based on keyword query method, and can also imitate the roaming phenomenon in memory.
Fock State-enhanced Expressivity of Quantum Machine Learning Models

We propose quantum classifiers based on encoding classical data onto Fock states using tunable beam-splitter meshes, similar to the boson sampling architecture. We show that higher photon numbers enhance the expressive power of the circuit.