Reviewerly/exHarmony huggingface dataset:
A Comprehensive Review on the syntagmatic relations of periphrastic postpositions and their meanings in Korean

In the grammaticalization of postpositions in Korean, certain periphrastic constructions may develop, and if these are not recognized as a grammatical unit, the meaning of sentences may be misunderstood. About sixty periphrastic postpositions are used in modern Korean, and they are grammaticalized as not only oblique markers but also delimiters. Additionally, some have similar meanings and show layering in the grammaticalization process, and their specialized meaning differences are revealed in contexts combined with different postpositions. The periphrastic postposition i/ka anila has developed like a delimiter and is one of the most frequently used, and serves as another periphrastic postposition combined with ppun and man.
Query expansion based on modified Concept2vec model using resource description framework knowledge graphs

The enormous size of the web and the vagueness of the terms used to formulate queries still pose a huge problem in achieving user satisfaction. To solve this problem, queries need to be disambiguated based on their context. One well-known technique for enhancing the effectiveness of information retrieval (IR) is query expansion (QE). It reformulates the initial query by adding similar terms that help in retrieving more relevant results. In this paper, we propose a new QE semantic approach based on the modified Concept2vec model using linked data. The novelty of our work is the use of query-dependent linked data from DBpedia as training data for the Concept2vec skip-gram model. We considered only the top feedback documents, and we did not use them directly to generate embeddings; we used their interlinked data instead. Also, we used the linked data attributes that have a long value, e.g., “dbo: abstract”, as training data for neural network models, and, we extracted from them the valuable concepts for QE. Our experiments on the Associated Press collection dataset showed that retrieval effectiveness can be much improved when a skip-gram model is used along with a DBpedia feature. Also, we demonstrated significant improvements compared to other approaches.
A blockchain-based privacy-preserving transaction scheme with public verification and reliable audit

&lt;abstract&gt;&lt;p&gt;With the continuous development of Internet of Things, finance, big data and many other fields, blockchain has been widely used in these areas for transactions, data sharing, product traceability and so on. Numerous assets have appeared in the blockchain, and there are some levels of conflicts among privacy protection of these assets, transaction transparency and auditability in blockchain; so how to provide privacy preserving, make public verifications and audit the encrypted assets are challenging problems. In this paper, we propose a privacy-preserving transaction scheme with public verification and reliable audit in blockchain. First, we provide privacy preserving of transaction contents based on homomorphic encryption. It is flexible, as we decouple user identity and transaction contents. Then, we propose and design a multiplicative zero-knowledge proof with formal security analysis. Furthermore, several verification rules are defined by us in the scheme, such as balance verification and multiplicative verification based on the proposed multiplicative zero-knowledge proof. Our scheme enables reliable and offline auditing for each transaction, and we aggregate the zero-knowledge proofs to save the ledger space. Finally, we make a security analysis of our proposal in terms of transaction confidentiality, public verification and audit reliability, and we give a performance analysis of the proposed scheme.&lt;/p&gt;&lt;/abstract&gt;
Hierarchical multi-step accumulative jacking construction technology of large-span special-shaped roof grid

Combined with Haidong Sports Center Project in Qinghai Province, this paper introduces the multi-step accumulative jacking construction technology of a large-span special-shaped roof grid. The lifting installation of assembled floors in limited sites and different elevations breaks through the limitation of the site and structural elevation difference. In the process of construction simulation calculation, a sensor is set at the maximum stress and strain in the middle of the span for stress and strain monitoring and connected to the sensor data acquisition instrument to collect the stress and strain in the process of hierarchical multi-step cumulative jacking. The graph is used to display the measurement value of each monitoring interval of the built structure and the actual displacement and deformation of the structure at each measurement point to achieve the purpose of process structure monitoring. At the same time, it solves the problem of high-altitude construction difficulty, and provides valuable construction reference for large-span complex space steel structure construction.
Visual working memory following naturalistic versus artificial object disappearance: a virtual reality study

Visual working memory and attention are commonly studied using laboratory tasks with static 2D screens. In recent years, virtual reality (VR) has opened new opportunities for investigating visual working memory and attention in more naturalistic, dynamic 3D environments – while allowing simultaneous eye- and head-tracking. Capitalising on such opportunities, we developed a visual working memory task in VR in which we manipulated the mode of object disappearance. Condition A mimicked the artificial nature of “default” laboratory tasks in which visual objects were held static in front of the participant before being removed from view arbuptly – as if suddenly disappearing from the environment. In condition B, the same visual objects were in motion and flew by participants, thereby disappearing from view gradually in a more naturalistic manner. We compared conditions with regard to (i) visual working-memory capacity and (ii) subtle eye and head signatures when orienting attention to particular objects inside visual working memory. Despite vastly distinct modes of object disappearance, we found comparable memory capacity as well as comparable bodily signatures of internal selective attention. This showcases how VR brings new questions and opportunities in the study of visual cognition, while also bringing the reassuring insight that classic findings from visual working memory research – including a capacity of approximately three objects – generalise under immersive conditions and with more naturalistic modes of object disappearance.
Artificial optoelectronic spiking neurons with laser-coupled resonant tunnelling diode systems

We report a spiking artificial optoelectronic neuron based on a resonant tunnelling diode (RTD) coupled to a photodetector (receiver) and a vertical cavity surface emitting laser (VCSEL, transmitter). We experimentally realize this O/E/O system, and demonstrate optical spiking with a well-defined, adjustable excitability threshold.
Interconnected VCSEL-based Photonic Synapses for Neuromorphic Processsing Architectures

Pairs of interconnected brain-inspired photonic synapses (connected in-parallel and in-series) are developed using Vertical Cavity Surface Emitting Lasers (VCSELs). We discuss the operation of each configuration and demonstrate their capability to perform different spike-based processing tasks including information encoding, temporal filtering, and Multiply-and-Accumulate (MAC) operations.
What fixation durations reveal about the functional visual field in search through natural scenes

An observer, fixating at one location, selectively processes stimuli in some surrounding region when searching for targets in visual search tasks. This region is called the functional visual field (FVF). Recent FVF research has sought to explain why observers sometimes miss a target even though they fixated nearby, placing the target clearly within the FVF. Such miss errors become especially important when the targets are, for example, tumors on x-rays or threats in baggage at airport security checkpoints. Understanding of such "look but fail to see" errors would benefit from a direct measure of the FVF during search. We use the duration of the “pre-target fixation” (PTF) as such a measure. The PTF is the fixation that immediately precedes a saccade to the target. In previous experiments where participants search for an O among Cs, PTF duration is shorter than other fixation durations when search is easy and when the target is near to the current fixation. It is hypothesized that the presence of a strong target signal inside the FVF speeds saccade planning and the resulting release of a saccade. In the present study, we tested whether similar effects can also be found in search through natural scene images where observers do not have precise target templates but only know the target category. To that end, we analyzed the large open source COCO-Search18 gaze dataset (Chen, Yang, Ahn, Samaras, Hoai, & Zelinsky, 2021). As in search for artificial stimuli, results showed shorter PTF durations if the target is close. As would be expected, the FVF as estimated from PTF duration is smaller when search is more difficult. The PTF duration method can be used to estimate the size of the FVF in a manner more natural and more convenient than gaze contingent moving window paradigms.
Speech Function in Teaching Speaking Skill: Evaluation, Analysis, and Recommendation

This study aims to assess and analyse the sorts of speech functions used by teachers in the tenth grade at one vocational high school in Jambi, Indonesia, and to identify the most prevalent kind. The study was carried out using descriptive qualitative research and descriptive analysis design. In this study, data were triangulated through observation and documentation. The study's targets were English teachers, and the transcribed data was divided into three categories of language functions. Holmes' concept is applied to classify speech functions. There are three types of utterance functions: expressive, imperative, and referential. The results showed that out of 60 speech functions, the directive function was applied by instructors the most frequently, accounting for 31 of them (51.66%). Directive one is the main reason, as it delivers interaction by directing and requesting the student. The study recommends that there are still many types of speech functions, but alternatively, directives are more prominent. Other researchers can gather data from many sources, including Instagram's English-language account, an English newspaper or magazine, and many more. The current study encourages English as a Foreign Language (EFL) teachers to complete a task and determine an assignment for future research. Given the implications of directive functions for English teachers in teaching speaking skills and the ability to inquire about something and command and request learners to perform something.
Pengaruh Model Pembelajaran Think Talk Write Terhadap Kemampuan Menulis Karangan Deskripsi Siswa Kelas IV SDN 101732

The purpose of this study is to determine the effect of the Think Talk Write learning model on student’s ability in writing descriptive essays of Fourth grade students at SDN 101732. This research was an experimental study using Quasi – experimental one group Pretest Posttest design with quantitative approach. Sample of this study were all the students of Fourth grade SDN 101732 totaling 18 students and sample technique is using Total Sampling technique. The data collection technique was using test and documentation and the research data was analyzed using SPPS 22. Based on the results of the study, it was found that the Pretest result were 67.78 and increased to 88.06 in Posttest. So it can be concluded that Think Talk Write learning model affect the student ability in writing descriptive essays of Fourth grade students at SDN 101732.
Images that are harder to reconstruct are more memorable and benefit more from additional encoding times

Decades of work have established the reconstructive nature of memory. Yet these works focus almost exclusively on retrieval. Here we ask whether the brain recruits reconstructive processing -- in a more automatic and fast form -- even at the earliest stage of memory formation, during perceptual encoding. Image memorability -- that some images are systematically better remembered than others -- provides an opportunity to investigate what bridges perception and memory. Existing accounts of memorability solely evaluate bottom-up feature hierarchies optimized for image classification (using standard deep convolutional neural networks [DCNNs]) as the underlying mechanism but fail to consider the role of reconstructive processes during visual encoding, which can support generative functions and compression during memory formation. In computational models, such reconstructive processes are often implemented in non-feedforward modules (e.g., top-down, lateral) and we hypothesize that they should express a distinct temporal signature in behavior. To test this hypothesis, we used two models to capture reconstructive processing during visual encoding: a sparse coding model and a generative adversarial network. In Study 1, in a scene memorability dataset with over 2000 images, we found that images with larger reconstruction error are more memorable (ps<.001), and that reconstruction error captures additional variance in memorability (ps<.001) beyond what can be explained using distinctiveness, a measure derived from the feature space of a DCNN trained for classification. To demonstrate that the variances captured by distinctiveness and reconstruction error result from functionally distinct processes, we ran a pre-registered Study 2 (N=45) using the rapid serial visual presentation (RSVP) paradigm with varying encoding times (34 to 167 ms). We found that images with large reconstruction error benefit more from longer encoding times than images with small reconstruction error, controlling for distinctiveness (all ps<.05). These results reveal reconstruction error as a previously unrecognized source of image memorability.
Food Supply Chain and Blockchain: Bibliometric Analysis

Food is a fundamental phenomenon for mankind. Nowadays, the number of people who approach food more selectively is increasing. They want information about the food they consume be accessible. Details such as the production time and producer of the food, whether it is served at a fair pricing and its content are all matters the consumers feel curious about. With the ability to create immutable data, blockchain technology can respond to consumer demands from the agricultural supply chain. Blockchain provides traceability and anti-counterfeiting solutions in the agricultural supply chain. Due to the fact that blockchain technology is becoming more and more popular in the agricultural supply chain, the level of its academic interest is also increasing. In order to reveal the characteristics of academic interest in the subject, an inquiry was conducted on the topic of food supply chain and blockchain in the Web of Science (WoS) database. The publications obtained at the end of the inquiry were classified under such headings as category, country and publication type. In addition, bibliometric analysis was performed on the publications obtained.
Delivery of Integral Calculus at Maseno University: Is STACK Really Playing an Integral Part?

Abstract—Integral Calculus II is a second-year undergraduate course offered by the Department of Pure and Applied Mathematics at Maseno University. It is one of the 20 foundational courses with a high enrolment of about 800 students drawn from the school of Mathematics, Education, Science, and Business. Because of the large number of enrollments in these foundational courses, and the small number of teaching staff, instructors face challenges in providing immediate personalized feedback that can guide learning. Systems for Teaching and Assessment which use Computer Algebra Kernerl, STACK, a computer-aided assessment plug-in that provides a sophisticated assessment in mathematics-related disciplines, was used to deploy Continuous Assessment Tests (CAT) in the course for 370 students. This paper reports on the findings of the course based on a comparison between student test scores in STACK and in the final course exam.
SPBM MELALUI MODEL INKUIRI DALAM MATERI LINGKUNGAN SEHAT DAN TIDAK SEHAT UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS 3 SEMESTER 1 SDN KARANGSAMBIGALIH I

This study aims to answer whether the application of SPBM through inquiry models in healthy and unhealthy environmental materials can improve student learning outcomes in semester 1 of SDN Karangsambigalih II SDN Karangsambigalih II, Sugio District, Lamongan Regency, Academic Year 2016/2017"?. Classroom action research was carried out in 2 cycles with each cycle of stages being planning, action, observation and reflection. The results showed that the application of SPBM through the inquiry model in healthy and unhealthy environmental material increased student learning outcomes. This can be seen from student learning outcomes in each cycle where in the pre-cycle there were 7 students or 43.75% who completed. then experienced an increase in cycle I, namely there were 10 students or 75% and in cycle II there were 12 students or 75%, an increase also occurred in the activeness of student learning, where in cycle I, namely there were 10 students or 62.5% and in cycle II there 14 students or 87.5%.
IMPROVING STUDENT’ ABILITY IN WRITING DESCRIPTIVE TEXT THROUGH PICTURE SERIES-AIDED LEARNING STRATEGY

This Classroom Action Research is to improve the students’ ability to write a descriptive text through the use of picture series-aided learning strategy. A class of the seventh grade students of SMP Muhammadiyah 27 Paciran Lamongan were used as the subject of the study. The required data were collected through the use of a questionnaire, an observation checklist, and a scoring rubric. The datanfrom the questionnaire indicated that the majority of students had a positive attitude toward the use of picture-series to learn descriptive text writing. Moreover, it is found from the observation data that the students participated actively in the learning process. Finally, the study also proved that the strategy improved the students’ writings with an average score increasing from 56.86 (0-100 scale) prior to the teaching learning process to 77.87 at the end treatment.
PENGGUNAAN PROJECT BASED LEARNING UNTUK MENINGKATKAN KETERLIBATAN SISWA DALAM MENGGUNAKAN BAHASA INGGRIS DI SMA SUNAN DRAJAT SUGIO

Audio-Visual Learning Model in fact can improve student learning and achievement activities.The data collection method is observation and learning achievement tests. Data analysis methods is descriptive is good for qualitative data as well as for quantitative data.Remaining barriers that need to be discussed is the learning achievements achieved in cycle I have yet to meet expectations in accordance with the demands of the KKM United Kingdom Language subjects at this school namely 7.5 therefore attempts further improvements still need to be strived so need to do planning more ripe for the next cycle.Of the value gained students, more students got half the value of 8.5, 13 students earn intermediate value that is 8.From a comparison of this value can already believed that the achievements of the student learning can be enhanced with the use of Audio-Visual method.See a comparison of the initial value, the value of the cycle I and cycle II values, there was a significant rise, from an average initial value is 4.5 rise in cycle I became 6.3 and in cycle II rose to 7.9 this Increase could not be considered one eye because This value is the increment of the maximal efforts implemented researchers for the sake of educational enhancement and advancement of education especially at the HIGH SCHOOL of Sunan Drajat Sugio.The conclusions derived from this study was the audio-visual learning models can improve learning achievement.
Case law is likely to shape future of US crypto rules

Significance The implosion of FTX, its sister hedge fund Alameda Research and an interconnected assortment of digital-asset entities founded by Bankman-Fried has fuelled demands in the United States for stringent regulation to protect consumers and investors. Impacts The speed with which FTX-related charges were brought shows authorities' intent to be seen to be acting more swiftly on white-collar crime. Product liability suits brought by consumers, an established US legal remedy, are likely. Plea deals to avoid long, complex trials are routine for financial crimes, but public outrage at FTX may make this politically impossible.
US moves on TikTok will intensify as 2024 approaches

Headline US: Moves on TikTok will intensify as 2024 approaches
Quadriwave lateral shearing interferometry based on double birefringent crystals of beam displacer

A quadriwave lateral shearing interferometry (QWLSI) is proposed based on double birefringent crystals of a beam displacer (DBCs-BD). The DBCs-BD is formed by adopting two birefringent crystals of a polarization beam displacer (PBD), which can generate the lateral shearing interference waves of four beams of overlapped replicas in the DBCs-BD orthogonal directions. When the replica waves are overlapped incident to the analyzer, and the direction of the transmission axis is set as 45° or 135°, the QWLSI's polarization interferogram can be obtained. The high-precision phase can be obtained by simple spectrum denoising and performing the Fourier transform of the resulting interferogram. We deduce the principle of QWLSI in detail, and the wavefront distribution can be achieved by the phase calculation. The experiment shows that the DBCs-BD-QWLSI exhibits feasibility and high precision.
Self-acceptance in today's young people

Acceptance of the self, others and the environment is a force for personal change that has its origins in many eastern and western cultures. The benefits of accepting are described by many cultures through religious literatures (New Testament, Tao Te Ching, Buddhist Scriptures, Bhagavad Gita or "The Divine Song", Yoga Sutras of Patañjali), philosophical (Marcus Aurelius, Epictetus, Keirkegaard, Krishnamurti, Lao Tzu, Watts), as well as in other various literary forms such as romance (Austen), modernism (Nabok), realism (Tolstoy), poetry or theater (Shakespeare). Acceptance requires a person to tolerate experiences as given; otherwise, simply someone will only pursue pleasure, run away from pain and be prone to judge experiences. The Stoics (Marcus Aurelius, Epictetus, Seneca) appreciated the ability to tolerate or willingly resist experiences, because it increases the degree of self-control, of detachment without emotion and develops indifference to pleasure and pain. Since acceptance involves contact with reality as it is at a certain moment, it is necessary to be able to remain present and aware even when the available stimuli are less desirable. Consequently, tolerance can be considered a skill through which we can remain present and experience anything that happens completely.
Analysis of The Theme Clustering Algorithm Using K-Means Method

The title of this research is the analysis of the thesis theme clustering algorithm using the k-means method. The main problem is how we can find out which theme is most in demand by thesis students at the Faculty of Engineering, University of Muhammadiyah Bengkulu. This clustering uses the K-means method. The K-Means method was chosen because this method is one of the non-hierarchical data clustering methods that seeks to partition data into two or more clusters with the same characteristics included in the same cluster. The purpose of this research is to help prospective students who will write their thesis in knowing which themes are more interested in them.