Reviewerly/exHarmony huggingface dataset:
Single-shot error mitigation by coherent Pauli checks

Generating samples from the output distribution of a quantum circuit is a ubiquitous task used as a building block of many quantum algorithms. Here we show how to accomplish this task on a noisy quantum processor lacking full-blown error correction for a special class of quantum circuits dominated by Clifford gates. Our approach is based on coherent Pauli checks (CPCs) that detect errors in a Clifford circuit by verifying commutation rules between random Pauli-type check operators and the considered circuit. Our main contributions are as follows. First, we derive a simple formula for the probability that a Clifford circuit protected by CPCs contains a logical error. In the limit of a large number of checks, the logical error probability is shown to approach the value $\ensuremath{\approx}7\ensuremath{\epsilon}n/5$, where $n$ is the number of qubits and $\ensuremath{\epsilon}$ is the depolarizing error rate. Our formula agrees nearly perfectly with the numerical simulation results. Second, we show that CPCs are well suited for quantum processors with a limited qubit connectivity. For example, the difference between all-to-all and linear qubit connectivity is only a $3\ifmmode\times\else\texttimes\fi{}$ increase in the number of cnot gates required to implement CPCs. Third, we describe simplified one-sided CPCs, which are well suited for mitigating measurement errors in the single-shot settings. Finally, we report an experimental demonstration of CPCs with up to 10 logical qubits and more than 100 logical cnot gates. Our experimental results show that CPCs provide a marked improvement in the logical error probability for the considered task of sampling the output distribution of quantum circuits.
E-LEARNING SATISFACTION ANALYSIS OF CLINICAL ROTATION NURSING STUDENTS

ABSTRACTObjective: To identify the learning satisfaction of clinical rotation nursing management students. Methods: A descriptive study took place in a class of clinical rotation nursing management. Participants were 22 female clinical rotation nursing student who were in the nursing management stage period September-October 2017. Eligible criteria for the students are voluntary participating in the research, fully engaged in the whole learning activities and following brief introduction and course evaluation. Research instrument is the form of learning satisfaction questionnaire developed by Center of Innovation and Academic Policy UGM. Validity test incorporate product moment resulting 13 valid items. 10 items required modification to meet the validity. Cronbach’s Alpha reliability test yields internal consistency value of 0.839. Data analyses were using frequency distribution with means considered as cutoff point. Results: Clinical rotation nursing students have a similar learning satisfaction between high and low (50%: 50%). Discussion: Based on 4 attributes of the questionnaire, the majority of respondents have high satisfaction on the aspect of online assignment (54.5%), aspect of online lecture materials and eLearning facilities have the same satisfaction (50%: 50%) and the online discussion aspect of the majority of respondents have low satisfaction (54.5 %). Conclusion: Clinical rotation students in nursing management show the same level of satisfaction between high and low on e-learning. Development of learning media and electronic learning delivery methods required to value the benefits in the future.Keywords: clinical rotation; e-learning; nursing student; students’ satisfaction.
SOLUTIONS TO EFFECTIVE DIGITAL TRANSFORMATION AT NON-PUBLIC UNIVERSITIES IN THE CURRENT 4.0 ERA

Digital transformation is an inevitable trend in Vietnam's non-public higher education today, especially for those that want to be promoted domestically and internationally, improve the quality of education and training, and attract learners. Digital transformation is to meet the new requirements of training high-quality human resources, who are capable of creativity, quickly absorbing science and technology levels in the world to serve the national development in the future. Not only have several non-public universities in Hanoi applied information and communication technology to improve the quality of education and management, recently, they also have boldly invested in digital transformation process, aiming to transform into a digital university, or a smart university model. The authors have analysed an effective management solution system to promote opportunities and overcome all challenges so that the digital transformation process in non-public higher education institutions takes place quickly, smoothly and sustainable success.
Eocene Kohat Formation suitability as an aggregate from Kohat Range, Sub-Himalayas, Pakistan, based on outcrop, petrographic and geotechnical properties

This paper evaluates the physicochemical and mechanical characteristics of the Limestone of the Kohat Formation. The Eocene Kohat limestone is generally exposed in the Kohat, Hangu, and Bannu districts. Kohat Formation limestone is well exposed throughout the Northern Kohat fold and thrust belt at Togh Bala village. It is cream to grey, hard, compact, well-bedded and fossiliferous. Kohat Formation has been identified into two lithofacies which are from base to top calcareous shale lithofacies with large benthic foraminifera and limestone lithofacies. The faunal assemblage indicates that the Kohat Formation was deposited in an inner to middle shelf environment. The petrographic analyses of samples of the Kohat Formation depict that it principally consists of calcite (60-90%) with a small to trace assemblage of dolomite (0-3%), ungraded quartz (0-1.5%), opaque minerals (0-1.2%) and fossils (8-40%). Aggregate physical properties like water absorption (0.88%), specific gravity (2.69), soundness (2.55%), Los Angeles abrasion value (23.06%), aggregate crushing value (11.56%), aggregate impact value (12.68%), flaky index (9.90%), elongation index (12.76%) and coating and stripping values (96.27%) conform to available standards. Our results indicate that Kohat Limestone is safe in terms of Alkali Carbonate Reactivity (ACR) and Alkali-Silica Reactivity (ASR). The facies, thin section study, geochemical, and geotechnical understanding of Kohat Formation indicate that these aggregate deposits are potential aggregate sources for ballast (railway), road, building material, concrete, mortar and other mega projects for connecting Asia and Europe.
Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering

Insufficient training data is a common barrier to effectively learn multimodal information interactions and question semantics in existing medical Visual Question Answering (VQA) models. This paper proposes a new Asymmetric Cross Modal Attention network called ACMA, which constructs an image-guided attention and a question-guided attention to improve multimodal interactions from insufficient data. In addition, a Semantic Understanding Auxiliary (SUA) in the question-guided attention is newly designed to learn rich semantic embeddings for improving model performance on question understanding by integrating word-level and sentence-level information. Moreover, we propose a new data augmentation method called Multimodal Augmented Mixup (MAM) to train the ACMA, denoted as ACMA-MAM. The MAM incorporates various data augmentations and a vanilla mixup strategy to generate more non-repetitive data, which avoids time-consuming artificial data annotations and improves model generalization capability. Our ACMA-MAM outperforms state-of-the-art models on three publicly accessible medical VQA datasets (VQA-Rad, VQA-Slake, and PathVQA) with accuracies of 76.14 %, 83.13 %, and 53.83 % respectively, achieving improvements of 2.00 %, 1.32 %, and 1.59 % accordingly. Moreover, our model achieves F1 scores of 78.33 %, 82.83 %, and 51.86 %, surpassing the state-of-the-art models by 2.80 %, 1.15 %, and 1.37 % respectively.
The Influence of Technogenic Processes on Human Existence

The relevance of the topic of the study is dictated by the inadmissibility of the destruction of the natural bases of human existence. The article examines the impact of technogenic processes on the existence of civilization. The work shows that in the technological world, a person, as a rational being, is looking for a fulcrum and the meaning of his life. It is difficult for him to define a new existence and to overcome the huge contradictions: spiritual, ecological crisis. By creating bulky machines, he violated the natural habitat and became a hostage of his own achievements. Transformation of everyday life, taking place under the influence of technogenic pro-cesses, requires the search for new approaches to mutual understanding of people, the implementation of the latest worldview meanings and attitudes. In a contradictory world, a person can survive only by subjugating the technique to a humane soul capable of preserving holistic human feelings and preventing the power of the machine over a person.
Virtual Reality Based Access to Knowledge Graphs for History Research

Purpose: Knowledge graphs have so far been intensively used in the cultural heritage domain. Current interaction paradigms and interfaces however are often limited to textual representations or 2D visualizations, not taking into account the 4D nature of data. In digital history in particular, where events as well as geographical and temporal relationships play an important role, exploration paradigms that take into account the 4D nature of event-related data are important, as they have the potential to support historians in generating new knowledge and discovering new relationships. In this paper, we explore the potential of virtual reality as a paradigm allowing digital humanities researchers, historians in particular, to explore a semantic 4D space defined by knowledge graphs from an egocentric perspective. Methodology: We present eTaRDiS: a virtual reality based tool supporting immersive exploration of knowledge graphs. We evaluate the tool in the context of a task in which historians and laypersons with a history background explore DBpedia and Wikidata. We report results of a study involving 13 subjects that interacted with the data in eTaRDiS in the context of a specific task, in order to gain insights regarding the interaction patterns of users with our system. The usability of the tool was evaluated using a questionnaire including questions from the System Usability Scale (SUS) in addition to task-specific questions. Findings: The usability evaluation showed that our tool achieved an overall SUS score of 71.92, corresponding to a ‘satisfactory’ rating. While the mean score reached with laypersons with a history background was quite high with 76.0, corresponding to a rating of ‘excellent’, the score for historians was lower with 69.4, corresponding to a ‘sufficient to satisfactory’ rating. A qualitative analysis of the interaction data revealed that participants quickly identified the relevant information in the tasks using a variety of strategies and taking advantage of the features provided in eTaRDiS. Value: eTaRDiS is to our knowledge the first virtual reality based exploration tool supporting the exploration of knowledge graphs. The findings of the usability evaluation and the qualitative analysis of exploration patterns show that the system could potentially be a valuable tool for allowing digital humanities researchers to explore knowledge graphs as a way to discover new relationships between historical events and persons of interest.
Detecting Cyber Attacks In-Vehicle Diagnostics Using an Intelligent Multistage Framework

The advanced technology of vehicles makes them vulnerable to external exploitation. The current trend of research is to impose security measures to protect vehicles from different aspects. One of the main problems that counter Intrusion Detection Systems (IDSs) is the necessity to have a low false acceptance rate (FA) with high detection accuracy without major changes in the vehicle network infrastructure. Furthermore, the location of IDSs can be controversial due to the limitations and concerns of Electronic Control Units (ECUs). Thus, we propose a novel framework of multistage to detect abnormality in vehicle diagnostic data based on specifications of diagnostics and stacking ensemble for various machine learning models. The proposed framework is verified against the KIA SOUL and Seat Leon 2018 datasets. Our IDS is evaluated against point anomaly attacks and period anomaly attacks that have not been used in its training. The results show the superiority of the framework and its robustness with high accuracy of 99.21%, a low false acceptance rate of 0.003%, and a good detection rate (DR) of 99.63% for Seat Leon 2018, and an accuracy of 99.22%, a low false acceptance rate of 0.005%, and good detection rate of 98.59% for KIA SOUL.
Statement Recognition of Access Control Policies in IoT Networks

Access Control Policies (ACPs) are essential for ensuring secure and authorized access to resources in IoT networks. Recognizing these policies involves identifying relevant statements within project documents expressed in natural language. While current research focuses on improving recognition accuracy through algorithm enhancements, the challenge of limited labeled data from individual clients is often overlooked, which impedes the training of highly accurate models. To address this issue and harness the potential of IoT networks, this paper presents FL-Bert-BiLSTM, a novel model that combines federated learning and pre-trained word embedding techniques for access control policy recognition. By leveraging the capabilities of IoT networks, the proposed model enables real-time and distributed training on IoT devices, effectively mitigating the scarcity of labeled data and enhancing accessibility for IoT applications. Additionally, the model incorporates pre-trained word embeddings to leverage the semantic information embedded in textual data, resulting in improved accuracy for access control policy recognition. Experimental results substantiate that the proposed model not only enhances accuracy and generalization capability but also preserves data privacy, making it well-suited for secure and efficient access control in IoT networks.
A Survey on the Profiles of Drug-related Cases and their Depiction

An important direction in the field of computer science research is computer application technology research. For example, how to use advanced deep learning technology to process crime big data to quickly assist in the detection of drug-related cases. Profile of criminal case is important intelligen
Analysis on Teaching Innovation of Machine Manufacturing and Automation Major in Universities

The paper discusses how to promote the improvement of machine manufacturing and automation teaching in colleges and how to implement innovation teaching.
Analysis of Indonesian Junior High School Students’ Problem in Learning English

This study focuses on students' problems in speaking English at SMP Plus Kasih Ibu Patumbak, Indonesia. Speaking skill is very important for social life to make people can communicate with global citizen easily. The students of SMP Plus Kasih Ibu Patumbak have been facing many problems in learning English, especially in speaking. The purpose of this research is to find out the students' problems in speaking English. This research design used is a descriptive qualitative research instrument for observation, interviews, and documentation. The study subjects were students of grade VII A totally 24 Students. The results of the data analysis, the researcher found several problems of students in speaking such as: lack of vocabulary, pronunciation, grammar, fluency and feeling nervous and being shy. It implies that Indonesian junior high schools need a very strong encouragement to more often practice English at school.
The Application of Online and Offline Blended Teaching Mode in College English Reading Teaching

Blended learning, as a new and multi-dimensional teaching mode, integrates the offline teaching in the traditional classroom with online teaching of the Internet. With the development of Internet, blended learning has become the mainstream of current information-based teaching. This teaching mode combines task-based teaching with autonomous learning which helps the students learn before teaching, improve students’ critical thinking ability and comprehensive language ability, promote the quality of English teaching and cultivate students’ core literacy in English learning. With the reform of college English, it is feasible to apply blended learning in College English teaching. However, the current College English teaching mode is still teacher-centered and the students’ dominant position cannot be well reflected. In addition, due to the limitations of offline English teaching, it is hardly to meet all the students’ need for English learning, thus resulting in low class participation, insuffiient learning motivation and poor learning effects, etc. In order to solve the problems in the traditional classroom English teaching, the online and offline blended teaching mode in College English Reading Teaching is proposed. This paper discusses the advantages, disadvantages and contents of online and offline blended teaching mode and futher explores the strategies of applying online and offline blended teaching mode in College English Reading Teaching. This study is aimed at changing college English teachers’ teaching concepts, enhancing students’ motivation in English learning, improving teaching quality and giving full play to educational functions. Of course, although online and offline blended teaching has many advantages, the significance of traditional classroom learning cannot be ignored. Without the effective guidance of teachers, it is difficult for students to learn knowledge scientifically and systematically. Therefore, it is necessary to apply blended teaching mode and combine the online teaching with offline teaching, and only in this way can the best teaching effects be achieved.
Cross-lingual Machine Translation: An Analysis Model for Low Resource Languages

More than one language is supported by NLP; with sophisticated models like BERT trained in advance on enormous, unlabeled text corpora, deep learning has transformed NLP. Better performance can be achieved when more data is not available by using transfer learning. Concentrating on low and medium-source languages as the majority of the research is based on English. Wikipedia data was trained in 104 languages to replace the single language BERT with multilingual BERT. This paper worked with XNLI and MNLI datasets and is a coordinated attempt to integrate various multilingual NLP, such as mBERT, XLM, and XLM-Roberta. The functioning of multilingual model XLM-R trained with English NLI and be tested with various other language data samples to get better accuracy.
An approach of geological mapping and geotechnical investigation: Case study from the Lalitpur Metropolitan City, Nepal

Urbanization is rapidly growing throughout the world, especially in the least developed and developing countries necessitating proper land use planning. However, the lack of sufficient study has created the possibility of unprecedented geohazards. In this study, a detailed geological and engineering geological mapping along with the geotechnical analysis of soils and sediments from the Bhainsepati–Pharsidol area of Lalitpur District has been carried out. Detailed geological maps and geological cross-sections were prepared on the scale of 1:25,000 following the most adopted stratigraphy of central Nepal for both hard rocks and Quaternary deposits. Two mappable geological units like the Tistung Formation and the Chandragiri Limestone of the Phulchauki Group are found within the hard rock succession at the study area’s hill sections. Similarly, the Quaternary succession is mapped into the Lukundol Formation and the Chapagaon Terrace deposits of Kathmandu Valley sediments from older to younger succession respectively. There is a distinct erosional unconformity between the rocks of the Phulchauki Group and the Quaternary Valley sediments. A kinematic analysis of discontinuities developed in the rocks was carried out in the rock slopes found in the area. Both field and laboratory analyses of soil samples were carried out for the representative samples. The laboratory tests include moisture content, specific gravity, particle size distribution, soil consistency, compaction, and consolidation properties. Finally, an engineering geological map was prepared on the same scale as geological mapping showing the details of the distribution of geo-materials. This study is expected to be valuable to make proper land-use decisions for town planning and developmental activities in the rapidly growing city of Nepal.
A New Procedure for Unsupervised Clustering Based on Combination of Artificial Neural Networks

Classification methods have become one of the main tools for extracting essential information from multivariate data. New classification algorithms are continuously being proposed and created. This paper presents a classification procedure based on a combination of Kohonen and probabilistic neural networks. Its applicability and efficiency are estimated using model data sets (iris flowers data set, wine data set, data with a two-hierarchical structure), then compared with the traditional clustering algorithms (hierarchical clustering, k-means clustering, fuzzy k-means clustering). The algorithm was designed as M-script in Matlab 7.11b software. It was shown that the proposed classification procedure has a great advantage over traditional clustering methods.
Development of Learning Media "Geoscan" Related to Geographical Characteristics of Indonesia as an Archipelago and Its Influence on Aspects of Life in Grade V Theme 1

The use of the application aims to make the essence of learning effectively received by students, one of which we will discuss is the material "Geographical Characteristics of Indonesia as an Archipelago and its Effect on Life". Geographical conditions reflect an integration of regions, namely how the regions are arranged by physical and social symptoms. Therefore, this research discusses the Multimedia Development Life Cycle (MDLC) method. From the research that has been done, it can be concluded that making an application called GEOSCAN by utilising barcode scans in learning grade V Theme 1 SD about "Geographical Characteristics of Indonesia as an Archipelago and its Influence on Life." and in grade 5 social studies subjects about "Geographical characteristics of Indonesia as an archipelago / maritime and agrarian country and its influence on economic, social, cultural, communication and transportation life". This research is intended to help facilitate delivery and achieve learning objectives. This application is made through Unity, in its use students can open the application, scan maps, and access material on the geographical conditions of the five major islands in Indonesia.