Reviewerly/exHarmony huggingface dataset:
Remote Sensing Image Retrieval Using Convolutional Neural Network Features and Weighted Distance

Remote sensing image retrieval (RSIR) may be a fundamental task in remote sensing. Most content-based image retrieval (CBRSIR) approaches take an easy distance as similarity criteria. A retrieval method supported weighted distance and basic features of Convolutional Neural Network (CNN) is proposed during this letter. the strategy contains two stages. First, in offline stage, the pretrained CNN will be fine-tuned by some labelled images from our target data set, then accustomed extract CNN features, and labelled the pictures within the retrieval data set. Second, in online stage, we extract features of the query image by using fine-tuned CNN model and calculate the load of every image class and apply them to calculate the space between the query image and also the retrieved images. Experiments and methods are conducted on two Remote Sensing Image Retrieval data sets. Compared with the state-of the-art methods, the proposed method significantly improves retrieval performance.
Single Image Dehazing Using NN-Dehaze Filter

Native haze removal techniques like Dark Channel Prior (DCP), Guided Image Filtering (GIF), Weighted Guided Image Filtering (WGIF), and Globally Guided Image Filtering could not perform the task of removing haze properly and preserving the fine structure of the image simultaneously. The proposed NN-Dehaze filter consists of a macro layer which anticipate the transmission map of whole image, and a micro layer which refines results. To train the network, NYU Depth dataset has been used. The performance analysis demonstrates that the structure if the image is preserved and haze is removed better than the traditional techniques both on indoor and outdoor images.
Determining the Stature Estimation from Facial Parameters amongst Sangli District Population

Introduction: Stature is an important parameter of identity of an individual. It is proved that each race requires its own findings for stature estimation because of ethnic, dietary and climatic variations. Many studies have been conducted on the estimation of stature from various body parts like hands, trunk, intact vertebral column, upper and lower limbs, individual long and short bones, foot and foot prints. Aim and Objectives: The aim is to correlate the stature with facial height and bizygomatic width in males and females of Sangli district. Material and Methods: 259 males and 259 females of Sangli district population, within age group 18-60 yrs were analysed. Height of the subject was measured in erect posture by measuring tape. Facial height and Bizygomatic facial width were measured using a Vernier caliper. Data was subjected to statistical analysis, regression equations was formulated using regression coefficient. Observation &amp; Results: In the present study the stature of the male is correlated with Kattunayakan, Mumbai and Nepalese population, it is lesser than Gujjars, central Indian, Efik and Haryanvi population but higher than Jat, Guajarati and Shrilankan population. In males, mean stature was 166.80 ± 9.19cms, facial height 11.02±0.65 cms and mean Bizygomatic width 11.81±0.69 cms. In females. Mean stature was 152.91±6.84 cms, mean Facial height 10.05±0.67 cms and mean Bizygomatic width 11.50 ±0.89 cms. Conclusion: All the parameters i.e. stature, facial height and bizygomatic width were found to be more in males as compared to females. There is positive correlation between facial parameters and stature. The facial height is the most reliable facial parameter than bizygomatic width for estimation of stature using regression equation in both males and females.
Express: Lowering the Cost of Metadata-hiding Communication with  Cryptographic Privacy

Existing systems for metadata-hiding messaging that provide cryptographic privacy properties have either high communication costs, high computation costs, or both. In this paper, we introduce Express, a metadata-hiding communication system that significantly reduces both communication and computation costs. Express is a two-server system that provides cryptographic security against an arbitrary number of malicious clients and one malicious server. In terms of communication, Express only incurs a constant-factor overhead per message sent regardless of the number of users, whereas previous cryptographically-secure systems Pung and Riposte had communication costs proportional to roughly the square root of the number of users. In terms of computation, Express only uses symmetric key cryptographic primitives and makes both practical and asymptotic improvements on protocols employed by prior work. These improvements enable Express to increase message throughput, reduce latency, and consume over 100x less bandwidth than Pung and Riposte, dropping the end to end cost of running a realistic whistleblowing application by 6x.
THE APPLICATION OF MIND MAPPING TECHNIQUE TO INCREASE STUDENTS’ READING COMPREHENSION AT THE SEVENTH GRADE OF SMP

The purpose of the study was to find out whether the application of Mind Mapping Technique can increase Students’ Reading Comprehension or not. This study was conducted at SMP N 3 Sangtombolang. The design of this study was pre-experimental with one group pre-test and post-test design. The subject in this study was class VII in academic year 2020/2021, which consisted of 15 students. The data of this study were collected through cloze test. The data were analysed by comparing the mean score of the tests. The mean score of the post-test (T2) is higher 83.7 than those of the pre-test (T1) 26.6. This heads to the conclusion that the application of mind mapping technique could increase students’ reading comprehension.
Gesture recognition and segmentation based on millimeter-wave radar

Nowadays, gesture recognition with radar is attracting wide attention from researchers and practitioners. The classification of an isolated and segmented gesture has been studied thoroughly. However, the detection, classification and segmentation of a series of gestures embedded in a data stream remains intractable. To address this problem, we develop a gesture recognition system based on millimetre-wave radar and deep learning. The radar measures range and Doppler features of gestures with high resolution. The data stream collected by radar is slightly pre-treated to suppress interference and extract information. A sliding window is used to slice those streams into appropriate data units, which are then fed to convolutional neural networks to estimate the probabilities of gesture types. By utilizing the change in those probabilities with time, the joint recognition and segmentation of gestures is realized. Experiments with real data shows that the recognition accuracy of 5 gestures is up to 92.48%.
Stocks slip on crypto’s wild ride and Fed minutes

U.S. equity markets closed moderately lower Wednesday, paring heavy losses that developed early in the session as technology shares slid along with cryptocurrencies.
How to Detect Malicious Behaviors in a Card-Based Majority Voting Protocol with Three Inputs

Card-based protocol is a multi-party computation using cards. The card-based protocol using operations called private operation has an advantage that the number of cards and the number of times of communication are smaller than the card-based protocol using operations called shuffle. However, there is a disadvantage that private operation allows dishonest players to perform malicious behaviors. Although the method to detect malicious behaviors in private operations was proposed, the method was available only in committed-format protocols, where inputs and outputs are represented by a pair of cards called commitment. In this paper, we show how to detect malicious behaviors in non-committed-format protocol with an example of a three-input majority voting protocol using private operations. Our majority voting protocol requires a smaller number of cards than the minimum number of cards required for committed-format protocols.
Storytelling as Students' Speaking Skill Enhancement Technique

ABSTRACT In frame of mixed method research, the researcher intended to find the significant difference that occur in class XI IPA1 MAN 1 Konawe students. Through this research, the aim was to describe the main problem, how to solve it and what the improvements in speaking that are seen in students. Data is collected using observation, interview and students’ test. The test used pre-test in the first meeting and post-test in last meeting. To find the preliminary data through observation, researcher need six students from 23 students of class XI IPA 1 MAN 1 Konawe. To analyze the data, this study uses test normality to gain the result from Paired sample test (t-test) formula. The result that is calculated from SPSS V.26 shows that tcount is bigger than t-table (13.122 &gt; 1.717). The calculation proves the alternative hypothesis (Ha) is accepted and the null hypothesis (H0) is rejected. It means that there was significant improvement in students’ speaking skill after using Storytelling in their English class of XI IPA 1 MAN 1 Konawe. This study implies that students really need not just material but also technique which can facilitate them in understanding the subject and mastering it. Keyword: Normality test, Paired sample test, Speaking skill, Storytelling
Knowledge Transferability and Workers’ Productivity in Public Hospitals in South-South Nigeria

The specific objective of the study was to ascertain the extent to which knowledge transferability influences workers’ productivity in public hospitals in South-South Nigeria. The study employed a correlation design. A sample of 596 respondents were selected from twelve categorized public hospitals is South-South using Taro Yamani’s formula. 34 questions were formulated in the questionnaire in line with the stated objective of the study. A total of 596 copies of questionnaire were administered and 551 copies were collected showing 92 percent responses, 10 responses were rejected and 541 copies constituting 90 percent of the questionnaire was analyzed.  The results showed that there is positive significant relationship between knowledge transferability and workers’ productivity in public hospitals in South-South Nigeria. The study concluded that the ability of the public hospitals to transfer knowledge to other health care units within the health sector will automatically enhance their productivity and performance in health care delivery in Nigeria. The study therefore, recommends that; organizations are required to reward managers or experts for providing adequate support necessary for encouraging knowledge sharing and transfer among employees. Knowledge management should be explicitly developed and designed appropriately on healthcare information system to facilitate the realization of the value position of healthcare organization in order to achieve the sustainable development goals of 2030 and vision 2020 on health related problems in the country. This will helps to ensure that knowledge management becomes their daily activities in the health sector. Keywords: Knowledge, transferability, productivity, public hospitals, south-south
FPGA based co-design of a speed fuzzy logic controller applied to an autonomous car

This paper invests in FPGA technology to control the speed of an autonomous car using fuzzy logic. For that purpose, we propose a co-design based on a novel fuzzy controller IP. It was developed using the hardware language VHDL and driven by the Zynq processor through an SDK software design written in C. The proposed IP acts according to the ambient temperature and the presence or absence of an obstacle and its distance from the car. The partitioning of the co-design tasks divides them into hardware and software parts. The simulation results of the fuzzy IP and those of the complete co-design implementation on a Xilinx Zynq board showed the effectiveness of the proposed controller to meet the target constraints and generate suitable PWM signals. The proposed hardware architecture based on 6-LUT blocks uses 11 times fewer logic resources than other previous similar designs. Also, it can be easily updated when new constraints on the system are to be considered, which makes it suitable for many related applications. Fuzzy computing was accelerated thanks to the use of digital signal processing blocks that ensure parallel processing. Indeed, a complete execution cycle takes only 7 us.
Continuous Random Variables

The basic theory of the probability has been discussed in Chap. 1 . That knowledge based on the set theory is essential to understand the notion of probability. However, it lacks applicability in many cases. For instance, let consider that very large number of events is under investigation. Calculations of probabilities of any arbitrary outcomes would require a great deal of effort. For this reason, the general concept of the probability theoryProbability theory is developed by means of random variables and corresponding probability functions, namely the probability distribution function and the probability density function. In general, a function maps elements of a well-defined set to another well-defined set. Let $$x \in A $$ and $$y \in B$$ , a function f(x) defines the transformationTransformation from set A to set B, and it is denoted as; $$\begin{aligned} f : x \rightarrow y \end{aligned}$$ A Random variable Random variable Random variablerandom variable, X, is a function related with the outcomes of a certain random experiment.
UPAYA MENINGKATKAN MENULIS TEKS EKSPLANASI MENGGUNAKAN METODE STAD PADA SISWA KELAS VIII SMP NEGERI 6 CIKALONGKULON

The purpose of this study was to see the learning activities of students and teachers with the application of the STAD method when learning written explanatory text. Also to see significant fears between before and after using the STAD method in an effort to improve explanatory text writing skills. The samples taken were 26 students from class VIII SMP Negeri 6 Cikalongkulon. The data sets used were the lesson plan (RPP), the observation sheet and the test sheet. The final results of the pretest and posttest there are differences and improvements in writing explanatory text skills using the STAD method in class VIII students of SMP Negeri 6 Cikalongkulon. The results of this study can develop an environment that writes explanatory text using the STAD method in class VIII students of SMP Negeri 6 Cikalongkulon. The results of teacher observations in the classroom during the learning process were 80% carried out and 75% of the students' learning processes were carried out. From the learning results, the improvement of explanatory text writing skills using the STAD method in class VIII students of SMP Negeri 6 Cikalongkulon, and improved according to the expected research objectives.
Research Guides: Introduction to Infographics: Creating

This libguide provides an introduction to infographics. It provides general information on finding data, basic design principles, and tools for building infographics.
Guides: Keep Learning: Remote Access to Library Research, Services, & Instruction: Interlibrary Loan/OsoFast

This guide will help you discover library research and instructional support resources that are available when you aren't able to visit the Baylor Libraries.
La didattica dell’ambiguità lessicale: il ruolo del dizionario

This paper focuses on the role of the dictionary in teaching lexical ambiguity phenomena connected to polysemy, homonymy, and part-of-speech trans­categorization. It aims to show the peculiarities of the way lexical ambiguity is treated by lexicography, and how these peculiarities can be exploited as useful tools to reflect on the lexicon and increase lexical awareness. In the final part of the paper, some ideas for activities on lexical ambiguity using dictionaries are presented.
Topological properties of superconducting nanostructures

One of the pillars of the scientific method is the fact that... Oh wait, it’s a different one. One of the pillars of the technological development is the fact that if the existing design does not achieve the goal or cannot be applied in new conditions, one could propose a totally different design that may achieve the goal. The only constraints in this way being the laws of physics. This is the main message of the lecture by Richard Feynman on tiny machines. The role of different designs can also be noted on a purely theoretical level. There, changing the well-known model can have far reaching consequences on its properties and possible applications. One of the main goals in the focus of modern quantum technology is realization of a quantum computer. The appeal of this device is in the difference from the classical analogous computer, being reasonable proposals for error correction. Another aspect is that one may use topological quantum states that are robust by themselves against certain noises. There is a lot of effort in trying different approaches and designs to experimentally realize and detect these states. Two main approaches are to either realize topological compounds or combine topologically trivial compounds to effectively realize non-trivial topological properties. There have been advances in both topological and non-topological quantum computation. One of the most famous examples being the achieved quantum supremacy (or, after censorship, quantum advantage). Despite that, the technology is still far away from being used at home. Also, during the process of development of technology other things may come about on the way. Anyhow, regardless of the outcome, the way itself is always more important than the resulting point. In this thesis we discuss certain theoretical findings discovered on the way.
International Meeting 40 Years of the 1980 Azores Earthquake, online meeting, 6-7 October 2020

The authors would like to thank the following institutions: Instituto Superior Tecnico (IST), Universidade dos Acores and Universidade de Evora. A special thanks to the Civil Engineering Research and Innovation for Sustainability (CERIS) and Associacao para a Formacao e o Desenvolvimento em Engenharia Civil e Arquitetura (FUNDEC) for videoconferencing support and logistics. This work is co-funded by national funds through FCT - Fundacao para a Ciencia e a Tecnologia, I.P., under projects Refas UIDB/04683/2020 e UIDP/04683/2020.
Specifics of Modern Culture and Arts Management and the Models of Its Functioning in Europe, the USA, and Russia

The present article focuses on understanding and substantiating the specific features of culture and arts management in comparison with general production management.It presents the analysis of the most effective models of interaction between culture and arts and the state on the issue of financing culture in Europe, the USA and Russia.The suggested overview will allow not only structuring the knowledge of culture and arts managers in this complex subject area, but also increasing the efficiency of their companies' management.In addition, the article discusses and analyses the issue of overproduction in creation, preservation and distribution of artistic values.
Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm

In recent years, evolutionary multitasking has received attention in the evolutionary computation community. As an evolutionary multifactorial optimization method, multifactorial evolutionary algorithm (MFEA) is proposed to realize evolutionary multitasking. One concept called the skill factor is introduced to assign a preferred task for each individual in MFEA. Then, based on the skill factor, there are some multifactorial optimization solvers including swarm intelligence that have been developed. In this paper, a PSO-FA hybrid model with a model selection mechanism triggered by updating the personal best memory is applied to multifactorial optimization. The skill factor reassignment is introduced in this model to enhance the search capability of the hybrid swarm model. Then numerical experiments are carried out by using nine benchmark problems based on typical multitask situations and by comparing with a simple multifactorial PSO to show the effectiveness of the proposed method.
Multiple Kernel Fuzzy Clustering for Uncertain Data Classification

Traditional call tree classifiers work with information whose values area unit celebrated and precise. We have a tendency to extend such classifiers to handle information with unsure info. Worth uncertainty arises in several applications through out the information assortment method. Example source of uncertainty embrace measurement/quantization errors, information staleness, and multiple recurrent measurements. With uncertainty, the worth of a knowledge item is commonly depicted not by one single worth, however by multiple values forming a probability distribution. Instead of abstracting unsure information by applied math derivatives (such as mean and median), we have a tendency to discover that the accuracy of a call tree classifier will be a lot of improved if the “complete information” of a knowledge item is utilized. Since process pdf is computationally a lot of pricey than process single values (e.g., averages), call tree construction on unsure information is more electronic equipment demanding than that sure information. To tackle this problem, we have a tendency to propose a series of pruning techniques which will greatly improve construction potency.
Introduction and Governing Equations

The differential equations governing the transport of mass, momentum and energy (or other scalars) in a flowing fluid are derived from the corresponding dynamic balances, written for a macroscopic volume V bounded by a surface S and embedded in a velocity field u(x, y, z, t). The special case of constant-property fluids and the Boussinesq approximation for buoyancy are also presented.
Space, Time and Digital Reality

This research describes certain after-effects of digitalization shown in the field of social design of reality, transformation of time and space, which no longer rely on traditional physical metrics. The article argues the idea of the end of the Galilean-Cartesian era, when the outside world was defined by intellectually constructed reality of physical theory and partial return to the Aristotelian understanding of the world as a heterogeneous aggregate of places. Also the important consequences of digitalization of social design of reality for system of thoughts and actions evolution are shown. Base vectors of evolution of ideas of space and time are defined in historical and scientific and socio-historical contexts, the direction of intellectual overcoming of negative consequences of geometrization of the ideas of time and space is set.
Combinatorial Optimization with the Optical Potts Machine

We show that networks of phase-tristable optical parametric oscillators simulate the three-state Potts model. A direct simulation of the underlying nonlinear dynamical model pro-vides an efficient path toward combinatorial optimization.