Reviewerly/exHarmony huggingface dataset:
Improving the sensitivity of distributed phase estimation under noisy Gaussian environment with noiseless linear amplification

The deterioration of precision caused by quantum decoherence in dissipative environments is a longstanding problem in the development of distributed quantum metrology. Therefore, it is significant to effectively overcome the entanglement-distribution loss and channel noise of dissipative environments and improve the measurement-sensitivity. Here, we introduce noiseless linear amplifier (NLA) based on photon catalysis into distributed phase estimation to mitigate the loss and noise. Through utilizing a series of reduction and equivalence relations to simplify the problem of distributed phase estimation to a single-parameter estimation situation, our results show that Photon catalysis (PC)-NLAs can effectively mitigate the loss and noise of dissipative environments, and greatly improve the measurement-sensitivity. More interestingly, we find that adding thermal photons of environment has positive contributions on the measurement-sensitivity under certain circumstances. Our scheme should prove valuable for the global wide-area quantum sensor network.
Kepemimpinan di Era Digital dan Implementasinya di Lembaga Pendidikan

A leader without anyone else willing to follow, is not a leader, but only someone who walks alone without anyone to follow or even accompany. A leader has a future orientation, not a short-term orientation that can only be enjoyed temporarily, but thinking about ideal conditions or circumstances, such as what should be achieved together in the future. A leader who cares for others and not only thinks about his own interests is willing to empower others. Leaders who keep abreast of technological developments must have skills in influencing, encouraging, guiding, directing, and mobilizing other people who have something to do with the implementation and development of education and teaching in the digital era. The method in this study is to use a descriptive qualitative approach. Scientific Literature Study. The data were collected from various scientific journals, analyzed and synthesized to then draw conclusions. Qualitative research is collecting data from various sources that are relevant to the focus of the problem set, describing, reducing and selecting so that conclusions can be drawn and presented informatively. Literature study method is a series of activities related to methods of collecting library data, reading and taking notes, and managing research materials. This study aims to make existing knowledge related to the topics to be studied to find empty space for researchers to do.
Measuring EFL Students' Digital Literacy in the Industrial Revolution Era 4.0

This study is designed to explore the level of EFL students’ digital literacy in using technologies to support their learning activities. The researcher employed a survey method in gaining the perspectives of one hundred and seven students from the English education department in one of the Islamic universities in Bengkulu. The researcher distributed the survey of digital literacy scale to be filled out by the respondents to get the data. The results were analyzed quantitatively using simple descriptive statistics by calculating the average value of all answers from thirty-six question items. The findings revealed that the students’ digital literacy level was a good category, with an average score of 3.01. Moreover, the students were considered to have a good level of digital literacy overall. On the contrary, they still had low improvement, particularly in areas namely, critical thinking, connectedness, and creativity. Therefore, teachers ought to pay more attention to such issues because they are crucial, particularly for students to achieve the main components of the 4Cs (critical thinking, creativity, collaboration, and communication) in 21st-century learning.
An Islamic Literature as Reading Materials in Islam-Affiliated University

This study aims to develop Islamic literature-based material for reading for English letter study program students. Moreover, this paper carried on research and development design (R&amp;D) which was adopted and modified by Borg &amp; Gall. The data were collected through questionnaires and observation. Qualitative data were analyzed using data reduction, data display, and drawing verification, and quantitative data analysis used Skala Likert analysis. The research participants consisted of lecturers and 20 students from the English Letters study program. The content of the book consists of the following components: the front cover, the introduction, the table of content, the cover text, the materials, references, and the writer. After the implementation of the revision from the expert, and the implementation of both preliminary and main field tests, the data show the student's responses to the Islamic literature-based reading materials designed were 3.72 average scores with a scale of 4, which includes it on a very good category. Then, the response for the literature appreciation rate is from 3.4 to 3.62 in the average score which is on a scale of 4 including the very good category, which means the Islamic literature-based reading materials have an effect on the literature appreciation rate. Therefore, Islamic literature-based reading material is worth applying to the students of the English Letters study program.
An Optimized Chinese Filtering Model Using Value Scale Extended Text Vector

With the development of Internet technology, the explosive growth of Internet information presentation has led to difficulty in filtering effective information. Finding a model with high accuracy for text classification has become a critical problem to be solved by text filtering, especially for Chinese texts. This paper selected the manually calibrated Douban movie website comment data for research. First, a text filtering model based on the BP neural network has been built; Second, based on the Term Frequency-Inverse Document Frequency (TF-IDF) vector space model and the doc2vec method, the text word frequency vector and the text semantic vector were obtained respectively, and the text word frequency vector was linearly reduced by the Principal Component Analysis (PCA) method. Third, the text word frequency vector after dimensionality reduction and the text semantic vector were combined, add the text value degree, and the text synthesis vector was constructed. Experiments show that the model combined with text word frequency vector degree after dimensionality reduction, text semantic vector, and text value has reached the highest accuracy of 84.67%.
DICTION USED IN SPOKEN LANGUAGE ON DONALD TRUMP’S SPEECH

Diction or choice of words can produce a certain effect either orally or in writing and also Well-chosen words enhance a speaker's ability to pass a message clearly and easily. Poor word choice can cause message misinterpretation by the listeners. In this study, the researcher focused on analyzing the diction used in Donald Trump's speech. It is intended to be used as a reference or additional knowledge and can understand diction in spoken language. To support the research, the theory used diction. A speaker uses diction to communicate concepts that the audience can understand. Diction refers to a speaker's ability to explain simple and complex thoughts using precise and economical words that are appropriate for the intended audience. Researcher uses descriptive qualitative research is a type of scientific study that seeks specific information about a population's values, opinions, behaviors, and social context. Before being analyzed, the researcher used triangulation. In Donald Trump's victory speech, there were many informal diction terms used in spoken language. Because the situation and context when Donald Trump spoke in his victory speech were not appropriate, the appropriate one should use formal diction. It was supported in the formal situation of the president's victory speech. The result of this research indicated by using informal diction, Donald Trump with his speech caused a lot of controversies, provoked outrage, and many people did not like it.
An Effective Data-driven Audio Watermarking Technique

Abstract: Audio piracy remains a persistent issue, highlighting the crucial need to protect audio signals and respect intellectual property rights. To tackle this challenge, we propose a two-step procedure consisting of intrinsic time scale decomposition (ITD) and Singular Value Decomposition (SVD).In our approach, the audio to be watermarked is initially divided into intrinsic mode functions and a low-frequency residue component using an iterative time scale decomposition technique. Subsequently, we apply Singular Value Decomposition to both the low-frequency component and the watermark. This allows us to embed the watermark within the residue component of the audio.To generate the watermarked audio, we combine the intrinsic mode functions with the watermarked residue component using inverse Intrinsic Time Scale Decomposition. This ensures that the watermark becomes integrated into the audio signal. Notably, our proposed approach effectively addresses computational complexity, a common challenge, while also prioritizing robustness and imperceptibility in line with advanced methods employed in the field.
Basic Python

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A new Private Mutual Authentication scheme with group discovery

If users from the same group would like to securely distinguish each other and negotiate a session key, the Private Mutual Authentication (PMA) protocol is a good choice. During the interaction, no group information will be leaked to non-members, so as to protect the users’ private affiliations. In practical applications, users generally belong to multiple groups and would like to discover other members who are also authorized by more common groups. To solve such group discovery problem efficiently, we propose a new private mutual authentication scheme denoted by PMA-GD in this paper. The key idea of PMA-GD is derived from Authorized Private Set Intersection (APSI) based on Identity-Based Encryption(IBE), which achieves linear complexity in essence. In PMA-GD, two participants distinguish each other secretly only if the authentication policy is satisfied, which requires that the intersection of groups in common is non-empty or reaches a threshold value. Our proposal is designed on the basis of Bilinear Diffie–Hellman (BDH) problem, so it is provably secure in the Random Oracle Model(ROM). Compared with previous work, the performance analysis demonstrates that PMA-GD is still competitive and applicable for scenarios with limited resources.
On-board MRI image compression using video encoder for MR-guided radiotherapy

Background: Magnetic resonance imaging (MRI) is currently used for online target monitoring and plan adaptation in modern image-guided radiotherapy.However, storing a large amount of data accumulated during patient treatment becomes an issue.In this study, the feasibility to compress MRI images accumulated in MR-guided radiotherapy using video encoders was investigated.Methods: Two sorting algorithms were employed to reorder the slices in multiple MRI sets for the input sequence of video encoder.Three cropping algorithms were used to auto-segment regions of interest for separate data storage.Four video encoders, motion-JPEG (M-JPEG), MPEG-4 (MP4), Advanced Video Coding (AVC or H.264) and High Efficiency Video Coding (HEVC or H.265) were investigated.The compression performance of video encoders was evaluated by compression ratio and time, while the restoration accuracy of video encoders was evaluated by mean square error (MSE), peak signal-to-noise ratio (PSNR), and video quality matrix (VQM).The performances of all combinations of video encoders, sorting methods, and cropping algorithms were investigated and their effects were statistically analyzed. Results:The compression ratios of MP4, H.264 and H.265 with both sorting methods were improved by 26% and 5%, 42% and 27%, 72% and 43%, respectively, comparing to those of M-JPEG.The sliceprioritized sorting method showed a higher compression ratio than that of the location-prioritized sorting method for MP4 (P=0.00000),H.264 (P=0.00012) and H.265 (P=0.00000),respectively.The compression ratios of H.265 were improved significantly with the applications of morphology algorithm (P=0.01890 and P=0.00530), flood-fill algorithm (P=0.00510 and P=0.00020) and level-set algorithm (P=0.02800 and P=0.00830) for both sorting methods.Among the four video encoders, H.265 showed the best compression ratio and restoration accuracy. Conclusions:The compression ratio and restoration accuracy of video encoders using inter-frame coding (MP4, H.264 and H.265) were higher than that of video encoders using intra-frame coding (M-JPEG).It is feasible to implement video encoders using inter-frame coding for high-performance MRI data storage in MR-guided radiotherapy.
An Algorithm for the Solution of Second Order Linear Fuzzy System With Mechanical Applications

In this paper, we consider homogeneous and non-homogeneous second order linear fuzzy systems under granular differentiability. The concept of continuous n-dimensional fuzzy functions on the space of n-dimensional fuzzy numbers are introduced. Developed an algorithm for the solution of a non-homogeneous second order linear fuzzy system under granular differentiability. The proposed algorithm is applied to solve some well-known mechanical problems with fuzzy uncertainty.
Can Artificial Intelligence Chatbots Convincingly Mimic Empathy?

An experimental study suggests yes, but utility has yet to be tested.
Analisis Pengendalian Banjir pada DAS Sungai Kabur-Kabur di Wilayah Kota Bula dengan Pemodelan HEC-RAS dan EPA SWMM

The Bula Flood incident began in 2016 until now. It is recorded that every year Bula City often experiences floods, with the peak of flood events being in February-July. As of 2016, there have been several structural treatments carried out by the local government, but have not answered the problem of the Bula Flood. The flood incident in the Bula City area was caused by the overflow of the Kabur-Kabur River. Based on the results of existing modeling analysis using 25-year anniversary discharge (Q25) with HEC-RAS and EPA, SWMM shows that flooding occurs in part of the Kabur-Kabur River. Flood management carried out in Bula City is by implementing retention ponds, river normalization, and implementing an early warning system for flooding. Based on the results of flood control validation analysis with the HEC-RAS and EPA SWMM programs, it shows that the flood management of the Kabur-Kabur River is able to overcome flood problems in the Bula City area. Therefore, the applied flood control can be implemented.
Use of information technologies for quality training of future specialists

The article considers the main ways of using information technologies in education (creation of information environments in each educational institution. The factors without which the modern implementation of educational information technologies is impossible are singled out. The purposes of using e-learning, blended learning, and ways of monitoring education using computer testing are revealed. Emphasis is placed on the most effective means of educational multimedia systems in classes (automated learning systems; computer simulators; multimedia presentations; educational films; video demonstrations, etc.). The stages of teacher preparation for classes using computer technologies are singled out and their significance during classes is substantiated, the main functions in the system of training students who perform modern information technologies, the main directions of using information technologies in education, pedagogical conditions for effective introduction into the educational process of information technologies, the main goals of training specialists, which are achieved in the process of applying information technologies.
Design of Dynamic Systems and Electro-Assisted Immersion Connected with Fourth Generation Technology for the Use in Aquatic Therapy in Mexico

This study evaluates the use of industry 4.0 in swimming pools for the implementation of aquatic therapy in Mexico focusing on the internet of things and cybersecurity. Also, the design of dynamic systems and electro-assisted immersion evaluating the structural mechanical behavior of each device is considered. The usefulness of the devices with respect to automation focused on the safe immersion of patients and controlled generation of aquatic current. Each device will have a numerical evaluation that supports the design of each device. The focus of the work was the optimization of an aqua bike. It was ergonomically designed to the phenotype of the Mexican population allowing a standard frame to be made for a height range of 120–170 cm. As a result, the bicycle was manufactured at low cost. The benefit of the study is to show the importance of industry 4.0 in pools designed for aquatic therapy and that it is a significant tool for physiotherapists. Considering, the approaches will benefit for the construction of automated pools in Mexico.
Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation

Due to the lack of ground-truth, nearly all self-supervised depth estimation methods use reprojection errors as the main supervised signal. We find that it fails to train the network with pixels reprojection errors in some special regions, such as textureless, boundary, occlusion and motion regions. The reason is that the reprojection error-based loss produces an unexpected deviation because of the irregular illumination change and the wrong reprojection matching of pixels. As a result, we propose a novel geometric-inspired calibration mechanism (GCM) that contains two parts to rectify this problem. The first part is a supervised signal based on the geometric distance, which is used to improve the performance of the network in textureless and boundary regions. The second is a rectify signal to deal with the deviation of the reprojection error. Then, we implement GCM by the Cycle Consistency Loss (CCL) and the Matching Filter. The CCL is designed to optimize the performance of the network in depth estimation, and the Matching Filter, based on CCL and reprojection errors, aims to rectify the deviation of reprojection errors. The final experiments demonstrate the effectiveness and applicability of our method compared with other methods on the KITTI dataset and get the SOTA result.
Predicting the Usefulness of E-Commerce Products’ Reviews using Machine Learning Techniques

User-generated reviews are an essential component of e-commerce platforms.The presence of a large number of these reviews creates an information overload problem, making it difficult for other users to establish their purchase decision.A review voting mechanism, in which users can vote for or against a review, addresses this issue (as helpful or not).The helpful votes on a review reflect its usefulness to other users.As voting on usefulness is optional, not all reviews receive this vote.Furthermore, reviews posted recently by users are not associated with any vote (s).The aim of this paper is to predict the usefulness of user reviews through machine learning techniques.Using the Amazon product review dataset of cell phones, classification models are built on eight features and compared on seven performance measures.As per results, all the classification models performed well, except Linear Discriminant Analysis.The classification performance of Logistic Regression, Decision Tree, Random Forest, AdaBoost, and Gradient Boost was unaffected by feature selection or outlier removal.The performance of Linear Discriminant Analysis improved after feature selection but decreased after outlier removal, whereas ET and KNN classifiers improved in both cases.
Development of Interactive Teaching Books Indonesian Language in PGSD Department Unismuh Makassar

The main problem of this research is the need for the development of interactive textbooks Indonesian in the PGSD Unismuh Makassar study program and the effectiveness of using textbooks.The purpose of this study is to develop interactive textbooks Indonesian and the effectiveness of the use of textbooks.The type of research used in this study is Research and Development (R & D).The subject of this study is an interactive textbook in Indonesian course.The research instrument uses test sheets, and observation sheets.Data collection techniques use cognitive tests, questionnaires, and questionnaires.The data is then analyzed using validation analysis, practicality analysis, practicality analysis and effectiveness analysis.The results of this research are the process of developing interactive textbooks in supporting Indonesian learning at PGSD Unismuh Makassar starting with student analysis, task analysis.Next is the stage of textbook design and material development.At the material development stage, all materials are prepared that will be included in the application program and the packaging of textbooks into Interactive textbook products.The response of students and lecturers to the use of interactive textbooks at PGSD Unismuh Makassar in Indonesian course was very positive.Interactive textbooks are very effective in supporting learning.This can be seen from student activities in the learning process.
Analisis Audit Energi di Hotel Kota Malang Menggunakan Web-Based Monitoring System

Energy audits are evaluation activities carried out to determine the condition of the energy used in a system. Audits are carried out to provide the efficiency of an electrical system. The first energy audit conducted was the initial energy audit. By using the specifications of the installed electrical system and using monitoring data. Followed by a detailed energy audit, to determine the condition of a more specific electrical system. The data used is measurement/monitoring data, and data calculations are then compared with the provision of the electricity standard. In calculating the intensity of energy consumption in the initial energy audit process, the IKE Fave Hotel results were still by the standards with an IKE value of 213.59 kWh/m2. Meanwhile, based on the results of a detailed energy audit, it was found that the lighting system and cooling system were not up to standard because the lux results for several rooms showed results that were less than the lux standard. Thus, it is necessary to provide recommendations for improvements to the lighting and cooling system. Providing lighting recommendations can use dialux as a calculation comparison. In the lighting system, it is necessary to replace some of the lamp specifications installed because they are far from standard values. This also needs to be done on the cooling system, by replacing the installed air conditioner according to existing calculations. This replacement was carried out to save energy for the continuity of the hospitality industry process at Fave Hotel Malang.