Reviewerly/exHarmony huggingface dataset:
Weakly Unpaired Image Translation from Hematoxylin and Eosin Staining Image to Immunohistochemistry Staining Image

Histopathological imaging is one of the most critical disease diagnosis tools. Hematoxylin and eosin (H&E) staining images are routinely acquired and show all cells in the tissue. In contrast, immunohistochemistry (IHC) staining of cell type markers reveals spatial information of specific cell types of interest, and their use is limited by more complex laboratory processing and high cost. As an example, CD3 IHC images provide critical spatial information on the tumor-infiltrating lymphocytes (TILs), but for most tumor specimens, only H&E images are available. It is of high interest to predict the localization of CD 3 + cells based on H&E images without performing CD3 IHC, which may be achieved through image translation. Deep learning methods have been developed to perform image translation from exactly matched image pairs, but it is hard to acquire matched pairs of H&E and CD3 IHC images because they are typically from close but different slices of one tissue. In this paper, we propose a Registration Generative Adversarial Network (R-GAN) to translate H&E images into CD3 IHC images using weakly unpaired training samples. A registration module and a novel patch-level L <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> loss function are incorporated into Pix2PixGAN to address the challenges arising from weakly unpaired training samples. We conduct benchmarking experiments on a dataset constructed with tissue microarrays (TMAs) of liver cancer tissues, which contains H&E images and the corresponding CD3 IHC images for 1,073 tissue cores. The proposed R-GAN outperforms two commonly used translation methods in terms of both image quality and style relevance metrics.
Jack Dongarra: Catalyzing the Transformation of High-Performance Computing

Profiles Jack Dongarra. ver the past four decades, Jack Dongarra has catalyzed the transformation of highperformance computing (HPC) through his numerous and impactful contributions as a scientist, a community leader, and a mentor. These contributions combine fundamental and translational innovations in science and computer/computational science with software and system development, deployment, and outreach; they have broadened the use of HPC, enabled important applications, driven new computer science and application insights, and transformed disciplines and society through the use of HPC. Earlier this year, Jack’s contributions and impacts were recognized with the 2021 ACM A.M. Turing Award,a the highest honor in computer science, which was awarded “for his pioneering contributions to numerical algorithms and libraries that have enabled high-performance computational software to keep pace with exponential hardware improvements for over four decades.” Several crosscutting themes underlie Jack’s contributions. The first is that mathematics, particularly linear algebra, provides a powerful language with which to reason about and design algorithms to exploit increasingly complex computer architectures. The second is that computer science, in the form of simple abstractions and optimization methods, is the key to mapping this language efficiently and in a portable way to increasingly complex and continually evolving computer architectures. Third, freely disseminated, robust and portable open-source software can significantly increase, broaden, and accelerate the use of HPC.
Material Molding and Control Engineering Program Vocational Undergraduate Initial Exploration

The practical significance of the high-vocational mold program under the condition of industrial upgrading and new technology-driven conditions to become the undergraduate program of materials molding and control engineering was discussed. through the college-industry co-construction of the industrial college, it has broaden the teachers and training facilities of vocational education, promote the in-depth integration of college and industries, realize the inherent attributes of vocational education for the industrial chain. Promote the high-quality development of the manufacturing industry and provide them with key positions of materials for molding.
Building of Rural Roof Distributed Photovoltaic Intelligent Management System based on Big Data Technology

With the proposal of carbon neutrality, rural revitalization and other policies, the rural rooftop distributed photovoltaic industry is found very rapidly. This project mainly studies how to improve the operation and maintenance capabilities of rural rooftop distributed photovoltaics, reduce labor costs, be able to quickly respond to relevant decisions, and timely detect faults, monitor basic operation conditions, increase power generation benefits, and maximize the benefits of all parties. It is an intelligent management system built based on modern information technology related to big data and cloud computing, referred to as rural rooftop distributed photovoltaic intelligent management system.
Curriculum System Construction of Internet of Things Major in Higher Vocational Education under the Background of "1+X" Certification

With the progress of society and the rapid development of economy, the application of Internet of Things technology has attracted more and more attention. However, the students of the Internet of Things major in higher vocational colleges have weak learning foundation, unreasonable curriculum structure and lack of practical teaching, which have a negative impact on the output of talents. Through the research on the "1+x" certification curriculum system corresponding to the IoT technology major, this paper introduces the background, curriculum system and new ideas for the construction of the "1+X" certification curriculum system for the IoT technology major in higher vocational colleges, which is the joint construction of the "1+X" certification curriculum system by schools and enterprises, so as to put the theoretical curriculum project into practice and optimize the curriculum connection. The training mode of combining documentary evidence shall be adopted to enable students to learn by doing, learn by doing, and comprehensively improve their professional level and practical ability.
The Application of Self- and Peer- Assessment to English Writing in Senior High School

English writing can be seen as an overt manifestation of one’s English competence. While in China, it’s not easy for students to write an excellent composition with few language errors. Various problems will be found in students’ written product, such as, vocabulary problem, grammatical problem and discourse problem. Hence, in order to solve these problems in English writing and cultivate students’ English writing ability, feedback efficiency has gained great attention in English writing teaching. Self-assessment and peer-assessment are ways to give feedback in English writing to enrich the validity and efficiency of assessment. Hence, this research aims to apply research analysis method to study the application of self-assessment and peer-assessment to English writing in senior high school, and provide some suggestions for English teaching.
A Blind Medical Image Watermarking using SWT and Arnold Transform

In this paper a robust watermarking scheme based on the combination of two transforms, the stationary wavelet transform (SWT) and the Arnold transform is presented. It is able to increase the robustness of the watermarking scheme of medical images while preserving the quality of the image and its confidentiality. The proposed method is part of the hybrid, robust, and blind methods. It initially divides the original medical image into two regions: the region of interest (ROI) and the region of non-interest (RONI). The watermark is inserted in the RONI region because a small distortion of the ROI can lead to undesirable treatment for the patient. So to secure the medical images by applying the watermark, the ROI must be preserved and the watermark will be inserted in the remaining part of the image which is RONI. The results demonstrated the effectiveness of our method in terms of invisibility and robustness against various attacks.
Video Interaction on Tablet Computers: Browsing with Pinch Gesture and Pen Tilt

Digital video technologies have been changing dramatically in the field of media production but reduced the tangibility of working with film. One interesting approach to get back such tangibility in digital systems is using pen and touch interactions. Pen and touch interactions presented in tablet computers are natural and efficient. Pen additional data, like pressure and tilt, can be used for novel interactions. However, most of the previous research that combines pen and touch inputs discards such additional inputs and limits the interactions to Cartesian coordinates and is applied to data visualization or static media contexts. In this work, we have implemented a prototype running on a tablet that aims to facilitate video browsing through the combination of pinch gestures and pen tilt. It aims to provide more natural and tangible interactions to control dynamic media and, at the same time, promote novel interactions using familiar inputs.
Polarity Classification of Hotel Reviews: Lexicon-Based Method

Customer reviews are documentation of their experiences about products, places, services, Etc., and these reviews are the focus of interest for both organizations and individuals because they are the main factor for customers in their purchasing choices. This study aims to compare the performance of three well-known dictionaries in rating the polarity of hotel and restaurant reviews.
The effect of closeness on Japanese L2 English learners’ use of emoji

This study investigates the use of emoji by Japanese learners of English in discussion forums. Specifically, the discussion forums refer to online conversations on the LINE smartphone application. The investigations answer the research question: “What is the effect of closeness on learners’ rate of emoji use in online discussion?”. The aims of the study are pursued by gauging learners’ perceived closeness with each other via a questionnaire with five levels of closeness from one to five; the rating of one is the closest and the rating of five is the most distant. Following this, five weeks of online discussions from the LINE discussion forums are investigated, analyzing a total of 123 messages, which contain a total of 10,081 words and 578 emoji. The participants are 25 second-year students who are enrolled at a middle-ranking Japanese university. They are from two classes, consisting of 21 females and four males in total. The investigations find a higher rate of emoji being employed in relationships identified as more distant. The study concludes that L2 English learners may also employ more emoji in distant relationships, where interactants may be attempting to reduce the social distance between each other.
Preparing Bilingual NinDigging up EFL Teacher’s Instructional Strategies to Create Sustainable Communicative Language Teaching (CLT) Environment

&lt;p&gt;Pervasive power of English communication has led several reforms in education system for nations all over the world, no exception Indonesia. The reforms cover the integration of English communication skill as life skill into curriculum which familiarly has been introduced as twenty century skills called as 4Cs skills integration. This study revealed the EFL teacher’s instructional strategies in creating communicative teaching and learning by using conceptual framework of Communicative Language Teaching (CLT). Case study qualitative research design is employed to answer research questions. The respondents are bilingual ninth grade teacher and school pricipal. To collect data, this study uses semi structured interview, observation and document analysis. The interview was aimed at knowing the EFL teacher’s instructional strategies in creating communicative teaching and learning environment. The collected data were then supported by observation and document analysis. The result of this study revealed that EFL teacher uses several instructional strategies to create communicative teaching and learning environment including role play, games, map-reading, surveys, presentation and the other kinds of classroom activities.&lt;/p&gt;
Triple Entry Bookkeeping di Era Teknologi Blockchain: Suatu Kajian Literatur

The financial industry in the era of technological development began to be supported by Blockchain technology. Blockchain is a new idea in the financial industry as a solution to solve the problem of digital money (cryptocurrency). Transactions recorded in the blockchain will be permanently stored so that they cannot be manipulated and provide a higher level of security. Blockchain technology supports the development of triple entry bookkeeping which is a configuration of the development of the double entry bookkeeping system. This research uses qualitative proximity to the library research method. The data collected comes from indexed journals on Google Scholar, Science and Technology (Sinta), Directory of Open Access Journals (DOAJ), books and other literature which will then be analyzed and set forth in the form of written words.The results of this study show that Triple Entry Bookkeeping in the Blockchain era has many advantages as a form of development of Double Entry Bookkeeping, namely providing information about budgets, automatic transaction validation, automatic public ledger, increasing openness &amp; trust, and solving fraud. In Indonesia itself, blockchain implementation in the field of accounting has been widely carried out, such as on the Online Pajak platform, Bank BCA, PT Pos Indonesia, and other commercial companies listed on the Indonesian Blockchain Association (ABI). The implementation of the triple entry bookkeeping system is still not ready to be implemented by medium-sized entities and MSMEs due to the high costs required, the lack of understanding of professional accountants regarding technology and entities that feel they still do not need a triple entry bookkeeping system. Therefore, support from all parties is needed so that this research can develop and not only become a concept but can be implemented in the financial industry.
Using IPFS and Hyperledger on Private Blockchain to Secure the Criminal Record System

In today's modern world, digitizing criminal records is a need for a nation. It contains criminal information that is securely and digitally stored. Blockchain technology allows us to store highly secure and efficient data. In this system, each transaction is permanent, which makes changing data or hacking the system nearly impossible. In our paper, hyperledger based on a low-cost private blockchain and IPFS are used to track any media file as evidence. Although the owner had access to all the capabilities for handling criminal records, the system did restrict users’ access in several ways. More security, privacy, and authorization are prioritized by this. We use the concept for updating fugitive criminal records.
Implementing Natural Language Inference for comparatives

This paper presents a computational framework for Natural Language Inference (NLI) using logic-based semantic representations and theorem-proving. We focus on logical inferences with comparatives and other related constructions in English, which are known for their structural complexity and difficulty in performing efficient reasoning. Using the so-called A-not-A analysis of comparatives, we implement a fully automated system to map various comparative constructions to semantic representations in typed first-order logic via Combinatory Categorial Grammar parsers and to prove entailment relations via a theorem prover. We evaluate the system on a variety of NLI benchmarks that contain challenging inferences, in comparison with other recent logic-based systems and neural NLI models.
PENGARUH KECEPATAN INJEKSI, TEKANAN INJEKSI DAN POSISI MOLD PADA PRODUKSI KURSI SANTAI BERBAHAN DASAR POLYPROPYLENE (PP)

Injection molding is making products made from plastic materials through melted plastic and then injected into a mold or mold. The plastic lounge chair is made of polypropylene (PP) by injection molding. In the injection molding process, there are parameters of injection speed, pressure, and molding position. This study aims to determine the effect of injection speed, pressure, and mold position. Injection speed, injection pressure, and improper mold position can produce a lounge chair with short-shot defects. Short-shot defects cannot be repaired but must be recycled by chopping them up to be reused as additional material for producing plastic products; this will increase operational costs. Efforts to reduce short shots can be done by changing the speed parameter settings, injection pressure, and mold position. Plastic lounge chairs, according to standards, were obtained by inverted mold position and injection speed settings in zones 1, 2, 3, 4, and 5 of 70, 60, 50, 45, and 30 in mm/s units. The injection pressures are 95, 85, 75, 65, and 55 bar.
Mutual Channel Prior Guided Dual-Domain Transformer for Single Image Raindrop Removal

Removing raindrops adhering to lenses or glass is challenging since raindrops have more complex internal structures and optical effects than rain streaks. Existing raindrop removal methods typically employ single-channel masks for raindrop representation. However, these methods ignore the complementarity of priors between different channels, thereby losing the color and transparency information of raindrops. Moreover, simply applying the same processing across different pixels is insufficient to deal with spatially-varying degradation. To address these limitation, we propose a novel mutual channel prior guided dual-domain Transformer (MPDT) for single image raindrop removal. Specifically, to effectively guide the restoration of the raindrop region, we propose a mutual channel prior by modeling the multi-channel raindrop soft mask, in which the enriched color and transparency information of raindrops are represented and learned by our model. To tackle the spatially-varying degradation, we design the dual-domain interaction Transformer to capture global low-frequency content and local high-frequency details. Simultaneously, a spatially adaptive modulation block is devised to handle complicated and diverse raindrops. Moreover, we propose a contrastive discrimination strategy to motivate the restored image to approach the clean image and stay away from the raindrop image in the representation space. Extensive experiments on benchmark datasets and real-world images indicate that the proposed method achieves qualitative and quantitative superiority against state-of-the-art methods.
Efforts to Improve Students' Learning Outcomes in Knowing Angels and Their Duties Through Make a Match Method at Grade IV SDN 01 Sitiung

This study is to answer the problem statement "Does applying the Make a match method improve student learning outcomes in recognizing angels and their assignments in class IV SDN 01 Sitiung?" This study uses a qualitative approach to the Classroom Action Research (CAR). The research subjects were grade IV students at SDN 01 Sitiung. Data collection techniques used in this study were (1) participant observation method because the teacher as a researcher simultaneously observed and was observed directly by colleagues who also observed the activeness of the teacher and students during the learning process. (2) the test method is used to determine student learning outcomes after working on the questions given at the end of learning in each cycle. The data in this study are divided into two types, namely quantitative data and qualitative data. Quantitative data were obtained to find the grade average and the percentage. The study was conducted in 2 cycles. Cycle 1 results in an average grade of 73 achieved by 11 students who finished out of 23 students. With only 48% completeness. Cycle II with an average grade of 86 achieved by 19 students who finished out of 23 students with completeness reached 83%. Based on these data with the application of the Make a Match method, cycles I and II can be seen that there is an increase in learning outcomes after the implementation of the Make a Match method.
Design of Quadrotor UAV Based on MSP432

In order to solve the problems of UAV flexibility, stability and safety, this paper designs a quadrotor UAV based on MSP432.The UAV includes five parts: main control part, flight height measurement module, gyroscope, fixed point correction module and visual recognition module.In order to protect the main control and other parts, we designed the outer protective carbon plate, so that its security is greatly improved.Based on the in-depth study of the existing remote control flight function, an improved active disturbance rejection controller is added, and the dual control mode of autonomous control and manual control is adopted to prevent unnecessary losses due to operation errors.The combination of GPS and laser rangefinder allows for more precise fixed-point positioning and measurement of the altitude above the ground, allowing the operator to determine the position of the UAV so as to observe its status.The integration function and key technology of each subsystem of UAV are analyzed in detail by simulation software.The experimental results show that each part of the quadrotor UAV and the surrounding protective carbon plate can provide a systematic solution for the intelligent and systematic development of the UAV, further improve the stability, flexibility, safety and the ability of swarm intelligence of the UAV, and make it have a better performance in the flight process.
BAHAN AJAR SEBAGAI BAGIAN DALAM KAJIAN PROBLEMATIKA PEMBELAJARAN SINTAKSIS

This study aims to know and master teaching materials as part of the study of syntactic learning problems. This study uses a type of qualitative research to build knowledge through understanding and discovery. The subjects in this study were lecturers and students. Lecturers and students were used as the main research subjects because the informants were the executors of the teaching and learning process, especially the lecturers as the implementation of the development of teaching materials. The data collection method is through observation and part of the literature review related to the focus of this research. The results of this study indicate that teaching materials are part of the study of the problems of syntactic learning. This is because choosing and determining teaching materials is a problem that educators often face in the learning process. The success of the learning process depends on the design and arrangement of teaching materials. Teaching materials can be interpreted as any form of material that is arranged systematically which allows students to learn independently and is designed in accordance with the applicable curriculum.Keywords: Teaching materials, syntax learning problems.