Reviewerly/exHarmony huggingface dataset:
Malaria Detection Accelerated: Combing a High-Throughput NanoZoomer Platform with a ParasiteMacro Algorithm

Eradication of malaria, a mosquito-borne parasitic disease that hijacks human red blood cells, is a global priority. Microscopy remains the gold standard hallmark for diagnosis and estimation of parasitemia for malaria, to date. However, this approach is time-consuming and requires much expertise especially in malaria-endemic countries or in areas with low-density malaria infection. Thus, there is a need for accurate malaria diagnosis/parasitemia estimation with standardized, fast, and more reliable methods. To this end, we performed a proof-of-concept study using the automated imaging (NanoZoomer) platform to detect the malarial parasite in infected blood. The approach can be used as a steppingstone for malaria diagnosis and parasitemia estimation. Additionally, we created an algorithm (ParasiteMacro) compatible with free online imaging software (ImageJ) that can be used with low magnification objectives (e.g., 5×, 10×, and 20×) both in the NanoZoomer and routine microscope. The novel approach to estimate malarial parasitemia based on modern technologies compared to manual light microscopy demonstrated 100% sensitivity, 87% specificity, a 100% negative predictive value (NPV) and a 93% positive predictive value (PPV). The manual and automated malaria counts showed a good Pearson correlation for low- (R2 = 0.9377, r = 0.9683 and p < 0.0001) as well as high- parasitemia (R2 = 0.8170, r = 0.9044 and p < 0.0001) with low estimation errors. Our robust strategy that identifies and quantifies malaria can play a pivotal role in disease control strategies.
Multiple Mobile Robots Coordination in Shared Workspace for Task Makespan Minimization

In this paper we consider a system of multiple mobile robots (MMRS) and the process of their concurrent motion in a shared two-dimensional workspace. The goal is to plan the robot movement along given fixed paths so as to minimize the completion time of all the robots while ensuring that they never collide. Thus, the considered problem combines the problems of robot schedule optimization with collision and deadlock avoidance. The problem formulation is presented and its equivalent reformulation that does not depend explicitly on the geometry of the robot paths is proposed. An event-based solution representation is proposed, allowing for a discrete optimization approach. Two types of possible deadlocks are identified and deadlock avoidance procedures are discussed. We proposed two types of solving methods. First, we implemented two metaheuristics: the local-search-based taboo search as well as the population-based artificial bee colony. Next, we implemented 14 simple constructive algorithms, employing dispatch rules such as first-in first-out, shortest distance remaining first, and longest distance remaining first, among others. A set of problem instances for different numbers of robots is created and provided as a benchmark. The effectiveness of the solving methods is then evaluated by simulation using the generated instances. Both deterministic and lognormal-distributed uncertain robot travel times are considered. The results prove that the taboo search metaheuristic obtained the best results for both deterministic and uncertain cases, with only artificial bee colony and a few constructive algorithms managing to remain competitive. Detailed results as well as ideas to further improve proposed methods are discussed.
Automatic work‐order assignment method for Chinese government hotline

Abstract Government hotline plays a significant role in meeting the demands of the people and resolving social conflicts in China. In this paper, we propose an automatic work‐order assignment method based on event extraction and external knowledge to address the problem of low efficiency with manual assignment for Chinese government hotline. Our proposed assignment method is composed of four parts: (1) Semantic encoding layer, which extracts semantic information from the work‐order text and obtains semantic representation vectors with contextual feature information. (2) Event extraction layer which extracts the local features and global features from the semantic representation vectors with the help of the CRF network to enhance event extraction effect. (3) External knowledge embedding layer, which integrates ‘rights and responsibilities lists’ with the historical information of the work‐order to assist assignment. (4) Assignment layer which completes work‐order assignment by combining two output vectors from event extraction layer and external knowledge embedding layer. Experimental results show our proposed method can achieve better assignment performance compared with several baseline methods.
A new system of socio-humanitarian education as a response to the challenges of modernity

The object of research in this article is the system of socio-humanitarian training of students. The article reveals the idea of the influence of the education system on the most important spheres of public life. The authors show that with the help of changes in the education system, it is possible to change not only the individual consciousness of the subjects of social development, but also to change the way of social life in general. Socio-humanitarian knowledge is of particular importance in the preparation of students. It forms the value-worldview attitudes of students, influences their behavioural models and civic position. Optimisation of the content and form of socio-humanitarian education is a strategically important task for society, a necessary condition for the implementation of national security imperatives. The authors argue that society today needs to update the system of socio-humanitarian training of students, especially at the higher school level. They point out the need to carry out this training throughout the entire period of training of students, paying special attention to the direct interaction of teachers and students. At the same time, the theoretical and ideological training of teachers themselves, whose thinking should correspond to state strategic objectives, is of no small importance. The authors convincingly prove that the axiological component should also be given great importance in the preparation of students, since in modern society there is a rapid deethisation and dehumanisation of socialisation, attempts are being made to break traditional values. The practical significance of the research results lies in the possibility of applying the data obtained in determining strategies and priorities for the development of the modern education system, the organisation of educational and educational processes in institutions of secondary and higher education.
Comparison of the Naïve Bayes Classifier and Decision Tree J48 for Credit Classification of Bank Customers

The bank conducts an analysis or survey in the credit system to determine whether the customer is eligible to receive credit. With a case study of Bank BJB debtor data in December 2021, credit classification analysis was carried out by forming a model using the Naïve Bayes Classifier and Decision Tree J48. Thus it is expected to minimize the occurrence of bad loans. The data are divided into several categories: debtors with good, substandard, doubtful, and bad credit. The analysis was carried out using a 10-fold cross-validation model, where the results obtained from both tests, the highest accuracy value was the Decision Tree J48 of 78.26%. While the Naïve Bayes Classifier has a lower level of accuracy, the prediction results tend to be better than the Decision Tree J48. The prediction results with the Naïve Bayes Classifier can predict all classes and the most influential variable in classifying credit is the loan term.
Working in group in project activity at English lessons in senior forms at MOBUG 2 named after I.S. Kolesnikov the town of Novokubansk

The article generalises group work in class project developing, refers to works of outstanding soviet psychologists and teachers dealing with personal activity of a student as the key to his achievements. The author describes effective forms of pair and group work in developing projects.
Pyritization in Stone-Building Materials Modeling of Geochemical Interaction

Stone-building materials, despite their natural origin, must be tested for the concentration of trace elements necessary to assess their impact on the environment and humans. In addition to basic research determining their mineral composition and structural and textural features, it is important to analyze the geochemical interactions between the material matrix and the concentration of elements that have a negative impact on the surrounding natural environment and our health. In the presented study, mineralogical and geochemical studies were carried out on the Carpathian sandstones. It was shown that the studied sandstones are represented by lithic wackes and sublithic arenites. Rocks subject to the secondary process of sulfide mineralization were observed among sublithic arenites. Pyrite in the studied geomaterials took various forms. A detailed geochemical analysis was carried out in the material in which iron sulfides acted as a binder. The research was aimed at identifying possible variations in the concentration of elements, with a particular emphasis on the contact between the silica and mineralized phases. The assessment of the geochemical interaction of iron sulfides with silica at a successively enlarged measurement was carried out using the Mamdani–Assilian fuzzy inference model.
Working with Gifted Children in a Modern Educational Institution

The material of the presented chapter reveals issues related to the creation of conditions for successful work with gifted children, including the basis of modeling, highlights methods for enhancing creativity, modern approaches to the elaboration of special development programs for teaching gifted children, and also describes pedagogical technologies for working with gifted children, among which is the innovative SRH-technology developed at the Department of Pedagogy and Modern Educational Technologies of the Moscow Region State University. The data presented by the authors can influence the optimization of education for gifted children.
Hearing Epistemic Sound in Experimental (Music) Systems, 1958–73

Abstract From the late 1950s to the mid-1970s, American experimental musicians like Pauline Oliveros, David Tudor, and Gordon Mumma employed complex and idiosyncratic technological systems to produce and capture acoustic resonance for aesthetic appreciation. Although this shared exploration exhibited many of the hallmarks of a genuine research project, scholars of experimental music have long been wary of claims that there is anything particularly scientific about this music, frequently comparing its informality unfavorably with the rigor and empiricism of the individual scientific experiment. However, historian of science Hans-Jörg Rheinberger has long held that the fundamental working unit of scientific research is not the individual experiment, but what he terms the experimental system: The loose coherence of objects, instruments, and technologies through which research questions are materialized over time. I argue that Rheinberger's framework of the experimental system offers a compelling way of understanding the experimentation that catalyzed the emergence of what has come to be known as “resonance aesthetics” in American experimental music. By focusing on the material links of musicians’ activities, the experimental system illuminates how knowledge was produced and circulated within and between vastly different musical performances. Rheinberger's characterization of successful research also informs a more nuanced conception of virtuosity in experimental music. Finally, this framework is an opportunity to re-evaluate the status of sound as an object of epistemological inquiry, akin to what Rheinberger describes as an “epistemic thing.” In theorizing epistemic sound as both contextual and emergent, I re-evaluate musicians’ approaches to spontaneity and improvisation in musical performance.
N-ary Cross-Sentence Relation Extraction

Most of the past work in relation extraction deals with relations occurring within a sentence and having only two entity arguments.
Joint Inference for End-to-end Relation Extraction

As discussed in the previous chapter, better performance for end-to-end relation extraction is achieved when the extraction of entities and relations is carried out jointly.
Recent Advances in Entity and Relation Extraction

In this chapter, we describe a few recent advances in joint entity and relation extraction as well as N-ary cross-sentence relation extraction.
Conclusions

This monograph investigated two crucial problems in relation extraction: (i) end-to-end relation extraction involving joint extraction of entities and relations, and (ii) N-ary cross-sentence relation extraction.
Literature Survey

In this chapter, we describe some of the relevant past literature on Relation Extraction.
Introduction

With the advent of the Internet, a large amount of digital text is generated every day, such as news articles, research publications, blogs, social media, and question answering forums.
Joint Model for End-to-End Relation Extraction

In this chapter, we propose a new approach which combines Neural Networks and Markov Logic Networks to address all the three sub-tasks of end-to-end relation extraction jointly—(i) identifying boundaries of entity mentions, (ii) identifying entity types of these mentions, and (iii) identifying appropriate semantic relation for each pair of mentions. We design the “All Word Pairs” neural network model (AWP-NN) which reduces the solution of the three sub-tasks to predict an appropriate label for each word pair in a given sentence. End-to-end relation extraction output can then be constructed easily from these labels of word pairs.
36.4: A Comprehensive Quality Assessment of Video Super‐Resolution for Ultra High‐Resolution Application

As the performance of video super‐resolution (SR) algorithms continues to improve, traditional video quality assessment such as peak signal‐to‐noise ratio (PSNR) and structural similarity (SSIM), which are widely used for natural images, are gradually failing to meet the evaluation requirements as they do not effectively take all the characteristics of super‐resolved images into account. In addition, the newly emerged SR algorithms based on generative adversarial networks (GAN) bring a whole new challenge to quality assessment while improving SR performance. Therefore, this paper will introduce the shortcomings of existing video quality assessment methods and propose a comprehensive SR video quality assessment method including visual saliency, structural fidelity, texture information and temporal metrics.
P‐7.13: Enhanced High Dynamic Tone Mapping Using Guided Filter

Before HDR signals can be displayed on traditional TVs and monitors, tone mapping is required to compress the luminance and color range to the display device's displayable low dynamic range (LDR). However, there is a common problem of loss of image details after tone mapping of HDR signals, which affects video/image quality. To solve this problem, we proposes an enhanced tone mapping (ETM) with guided filter. In the constructed enhance channel, guided filtering is used to extract and reconstruct the image detail layer, which accurately preserves the image detail and removes the halo problem. which improves local dynamic contrast, enhances image details, and improves image clarity.
P‐7.11: A Study on Local Dimming Algorithm Design for MINI LED Backlight Display Quality Improvement

Today HDR (High Dynamic Range) Displays are increasingly developed. The HDR Display with mini‐led backlight and liquid‐crystal panel plays an important role, it has a lot of advantages like high light (more than 1000nits), high contrast ratio (more than 100000:1), bright color and good permeability and so on. But it also has some display defects like halo [3] phenomenon in a dark scene. In this paper, first, we discuss some common picture quality issues caused by the normal local dimming algorithm [2] and then present a novel algorithm base on BOE COG (chip on glass) mini‐led backlight HDR display. The BOE COG technology is a global unique glass substrate backlight solution, and has some features to help the algorithm improve its performance. And for the local dimming display issues, the algorithm itself has room for optimizing visual effects. Finally, around the key point of local dimming algorithm, we show several advantages of BOE glass substrate backlight solution, its distinctive features can help the algorithm improve picture quality.
P‐7.5: A Professional Display System with Multiple 12G‐SDI Interfaces

SID Symposium Digest of Technical PapersVolume 53, Issue S1 p. 826-826 Poster Session: P-7: Display system P-7.5: A Professional Display System with Multiple 12G-SDI Interfaces Lihua Geng, Lihua Geng BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorCongrui Wu, Congrui Wu BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorChanglin Leng, Changlin Leng BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorRan Duan, Ran Duan BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorXian Wang, Xian Wang BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorXitong Ma, Xitong Ma BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorXiao Zhang, Xiao Zhang BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this author Lihua Geng, Lihua Geng BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorCongrui Wu, Congrui Wu BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorChanglin Leng, Changlin Leng BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorRan Duan, Ran Duan BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorXian Wang, Xian Wang BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorXitong Ma, Xitong Ma BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this authorXiao Zhang, Xiao Zhang BOE Technology Group Co., Ltd., No.9 Dize Rd, BDA, Beijing, ChinaSearch for more papers by this author First published: 17 October 2022 https://doi.org/10.1002/sdtp.16108AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. References 1 CHINA, UHD video industry development action plan (2019-2022); 2019.3 2 Ran Duan, 8K Broadcast Monitor Display System: SID 2020; 2020.5 3 Xilinx, UltraScale Architecture and Product Data Sheet: Overview; 2020.9 Volume53, IssueS1International Conference on Display Technology 2022 (Volume 53, Issue S1)October 2022Pages 826-826 ReferencesRelatedInformation
P‐7.3: Research on Touch Input System Based on In‐Graphic Identification

In response to the high hardware requirements of traditional touch input systems, this paper proposes a new system for touch input based on In‐Graphic recognition. Unlike In‐Cell, On‐Cell and other hardware‐based touch input systems, this system uses the method of hiding the input information in the graphic (In‐Graphic), and then uses an algorithm to identify the content with the logo in the display image and complete the input function, which is a touch input system that relies on software algorithms. The system can make a medium to large size screen into a smart screen with touch input function with little increase in hardware cost, and realize a multi‐purpose screen, greatly enhancing the user experience.
P‐6.2: How to Reliably Access the Quality of Display Products: A Novel Mutually‐Supervised Subjective Evaluation Method

With the growing demand for outdoor display, a number of new display processing methods emerged, so how to reliably access the quality of display products is greatly important in determining which is better between two different display products. To solve such difficulty, we in this paper put forward a novel subjective evaluation method, which combines single stimulation method and stimulation comparison method to mutually supervise each other and thus highly enhances the reliability of subjective scoring results. We conduct the newly proposed evaluation method on the comparison between the BOE RGBW screen and the typical RGB screen. Results derived from 57 inexperienced observers indicate that the BOE RGBW screen has achieved better display performance in specific conditions, which is highly consistent with the senior expert's opinions. Our newly proposed subjective evaluation method has very inspiring perspective in real application scenarios, which can use cheap labor to derive the senior expert's opinions. It will help outdoor display developers to accurately and quickly determine the direction of better display quality improvement.
P‐3.7: An Improved Dehazing Algorithm for Fog Image at Night

In order to solve the problem of lack of detail information and serious damage to the texture of the light source area when the dark channel prior dehazing algorithm processes fog images at night, this paper proposes a dehazing algorithm for nighttime fog images using the dark‐state point light source model. By introducing the dark state point light source model, the dark channel credibility weight factor and the pseudo dehazing image, combined with the nighttime image imaging model, the improved transmittance distribution is obtained, and the fog image at night is dehazed. The experimental results show that the image processed by the algorithm in this paper has little loss of texture details, high image definition, and the contrast between the light and dark of the image is better stretched, which can effectively dehaze the fog image at night.
P‐3.3: A HDR Image Layering Method Based on Improved Guided Filter

Since the dynamic range of most of the existing display devices does not match the HDR image, the HDR image cannot be directly output. Therefore, the research on HDR image mapping technology becomes very important. In the layered algorithm of HDR image mapping processing, there is a problem of halo phenomenon and information loss in the edge area of the image caused by the change of brightness. In this paper, the guided filter is selected to filter the image, and the problem of edge coarsening of the traditional guided filter has been improved. While compressing the brightness of the base layer image, multi‐scale filtering is performed on the detail layer image, and the detail layer image is adaptively adjusted according to the brightness compression ratio of the image, which effectively improves the quality of the output image.