Reviewerly/exHarmony huggingface dataset:
An Empirical Basis for Software Architecture Research

Despite the clear need for and importance of performing empirical studies as part of software architecture research, there is still a lack of curated, standardized, clean, well-maintained, documented, easily accessible, reusable, and shared datasets. In this chapter, we provide an overview of the problems, of the motivations, and of the opportunities currently related to mining and sharing datasets for researchers in software architecture. We first explore and describe which artifacts should be included into such datasets, such as code, documentation, and requirements, but also including other architecturally relevant artifacts, such as architectural decision records, models, and other kinds of documentation. This information can be complemented with revision history logs, social metadata, and email or chat discussion archives. The availability of such datasets would enable not only architectural reconstruction studies but would also help to catalyze broader and more ambitious program of empirical studies in software architecture research.
Effect of Students’ Worksheet Based on Scientific Approach in Listening Skills For The Tenth Grade of SMA Negeri 6 Medan

The objectives of this research are to know the effect of scientific approach in increasing students’ ability in listening skills in SMA Negeri 6 Medan. The method of this research is quantitative experimental. Population in this research is the first grade of SMA Negeri 6 Medan which are 120 students, and the sample are 60 students as group that applied the scientific approach. The result of this research found that the grade x students of SMA Negeri 6 Medan taught by stdents’ worksheet based on scientific approach in listening skills is good and after calculating and analyzing the data of the research, is found that the grade x students of SMA Negeri 6 Medan taught by students’ worksheet based on scientific approach in listening skills is fair and also the use of students’ worksheet based on scientific approach increase the students’ listening skills to the grade X students of SMA Negeri 6 Medan, it proved on the t-table with df 58 (n = n – 2 =30+30-2= 58) at t-critical 0.05 it obtained 1,67. If compared the value of t-tale (2,17&gt;1,67). It stated that the hypothesis is accepted. It means that the grade X students of SMA Negeri 6 Medan which taught by students’ worksheet based on scientific approach in listening skills is higher than those without students’ worksheet based on scientific approach and there were some effectiveness of using students’ worksheet in teaching listening.
Touché 2022 Best of Labs: Neural Image Retrieval for Argumentation

Given a text query on a controversial topic, the task of Image Retrieval for Argumentation is to rank images according to how well they can be used to support a discussion on the topic. This paper provides a detailed investigation of the challenges of this task by means of a novel and modular retrieval pipeline. All findings relate to our work from last year's CLEF Touché'22 lab and a reproducibility study based on it. There, we demonstrate the unified retrieval pipeline NeurArgs and provide improved stance models. This work presents the approaches of the two papers, regarding the problems identified and the solutions provided. Herewith, we achieve an effectiveness improvement in argumentative image detection of up to 0.832 precision@10. However, despite this success, our study also revealed a previously unknown negative result: when it comes to stance detection, none of the tested stance models can convincingly beat a random baseline. Therefore, we conduct a thorough error analysis to understand the inherent challenges of image stance detection and provide insight into potential new approaches to this task.
Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis

The innovative method of sentiment analysis based on an emotional lexicon shows prominent advantages in capturing emotional information, such as individual attitudes, experiences, and needs, which provides a new perspective and method for emotion recognition and management for patients with breast cancer (BC). However, at present, sentiment analysis in the field of BC is limited, and there is no emotional lexicon for this field. Therefore, it is necessary to construct an emotional lexicon that conforms to the characteristics of patients with BC so as to provide a new tool for accurate identification and analysis of the patients' emotions and a new method for their personalized emotion management.This study aimed to construct an emotional lexicon of patients with BC.Emotional words were obtained by merging the words in 2 general sentiment lexicons, the Chinese Linguistic Inquiry and Word Count (C-LIWC) and HowNet, and the words in text corpora acquired from patients with BC via Weibo, semistructured interviews, and expressive writing. The lexicon was constructed using manual annotation and classification under the guidance of Russell's valence-arousal space. Ekman's basic emotional categories, Lazarus' cognitive appraisal theory of emotion, and a qualitative text analysis based on the text corpora of patients with BC were combined to determine the fine-grained emotional categories of the lexicon we constructed. Precision, recall, and the F1-score were used to evaluate the lexicon's performance.The text corpora collected from patients in different stages of BC included 150 written materials, 17 interviews, and 6689 original posts and comments from Weibo, with a total of 1,923,593 Chinese characters. The emotional lexicon of patients with BC contained 9357 words and covered 8 fine-grained emotional categories: joy, anger, sadness, fear, disgust, surprise, somatic symptoms, and BC terminology. Experimental results showed that precision, recall, and the F1-score of positive emotional words were 98.42%, 99.73%, and 99.07%, respectively, and those of negative emotional words were 99.73%, 98.38%, and 99.05%, respectively, which all significantly outperformed the C-LIWC and HowNet.The emotional lexicon with fine-grained emotional categories conforms to the characteristics of patients with BC. Its performance related to identifying and classifying domain-specific emotional words in BC is better compared to the C-LIWC and HowNet. This lexicon not only provides a new tool for sentiment analysis in the field of BC but also provides a new perspective for recognizing the specific emotional state and needs of patients with BC and formulating tailored emotional management plans.
Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

Indonesia needs to lower its high infectious disease rate. This requires reliable data and following their temporal changes across provinces. We investigated the benefits of surveying the epidemiological situation with the imax biclustering algorithm using secondary data from a recent national scale survey of main infectious diseases from the National Basic Health Research (Riskesdas) covering 34 provinces in Indonesia. Hierarchical and k-means clustering can only handle one data source, but BCBimax biclustering can cluster rows and columns in a data matrix. Several experiments determined the best row and column threshold values, which is crucial for a useful result. The percentages of Indonesia's seven most common infectious diseases (ARI, pneumonia, diarrhoea, tuberculosis (TB), hepatitis, malaria, and filariasis) were ordered by province to form groups without considering proximity because clusters are usually far apart. ARI, pneumonia, and diarrhoea were divided into toddler and adult infections, making 10 target diseases instead of seven. The set of biclusters formed based on the presence and level of these diseases included 7 diseases with moderate to high disease levels, 5 diseases (formed by 2 clusters), 3 diseases, 2 diseases, and a final order that only included adult diarrhoea. In 6 of 8 clusters, diarrhea was the most prevalent infectious disease in Indonesia, making its eradication a priority. Direct person-to-person infections like ARI, pneumonia, TB, and diarrhoea were found in 4-6 of 8 clusters. These diseases are more common and spread faster than vector-borne diseases like malaria and filariasis, making them more important.
Türkiye’de İki İlde Optimum Eğim Açılarında Eğimli Yüzeyde Aylık, Mevsimsel, Yıllık Toplam Güneş Işınımının Tahmini

In solar energy systems that use solar panels, it's important to know the best tilt angle to optimize solar energy production. Monthly, seasonal, and annual optimum tilt angles were determined in this study using meteorological insolation data from many years in the provinces of Tekirdag and Konya, which are located in different regions of Turkey. At optimum tilt angles, monthly, seasonal, and annual total radiation on the tilted surface were 1516.7 kWh m-2 year-1, 1504.1 kWh m-2 year-1 and 1448.1 kWh m-2 year-1 in Tekirdag, respectively. In Konya, these values were 1851.4 kWh m-2 year-1, 1833.51 kWh m-2 year-1 and kWh m-2 year-1, respectively. In the seasonal and annual optimum tilt angles, there was an approximately 1% and 5% loss in the total radiation values on the tilted surface, respectively, according to the monthly optimum tilt angle. In addition, the coefficients of the relationship between the monthly mean daily radiation on the tilted surface and the tilt angles were determined for each month using the cubic regression model in both provinces. The Cubic regression model coefficients are computed for each month in the provinces of Tekirdag and Konya. All months in both provinces had R2 (Coefficient of determination) values of 0.999 for the Cubic model. To determine whether there is a difference between the total amounts of radiation reaching the tilted surface for each month at the best tilt angles obtained by the two methods, the t-test was used. The monthly average daily radiation values on the tilted surface obtained by the two methods at the best tilt angles in both provinces have not been found to differ statistically (p&gt;0.05; t=0.001).
DirKorp

In this paper, we present recent developments on a new version (v3.0) of DirKorp (Korpus direktivnih govornih činova hrvatskoga jezika), the first Croatian corpus of directive speech acts developed for the purposes of pragmatic research. The corpus contains 800 elicited speech acts collected via an online questionnaire with role-playing tasks, a method of simulated communication that is implemented under pre-set conditions. This method is suitable for researching speech acts due to the ability to collect a great number of examples of such acts of equal propositional content and illocutionary purpose used in the same controlled situations. The presented situations are classified into two categories with regard to the relationship between the participants of the communication act: (1) situations involving interlocutors who are not in a familiar relationship; (2) situations involving interlocutors in a familiar relationship. Assignments of the two categories are organized into four pairs, asking respondents to share a speech act of similar propositional content. The respondents were 100 Croatian speakers, all undergraduate (63%) or graduate students (37%) of the Faculty of Humanities and Social Sciences (University of Zagreb). The corpus has been manually annotated on the speech act level, each speech act containing up to 14 features: (1) respondent ID, (2) familiarity/unfamiliarity, (3) utterance type, (4) directive performative verb in 1st person, (5) illocutionary force, (6) propositional content, (7) T/V form, (8) exhortative, (9) lexical marker of request, (10) lexical marker of apology, (11) lexical marker of gratitude, (12) honorific title, (13) grammatical mood, and (14) modal verb in 2nd person. It contains 12,676 tokens and 1,692 types. The corpus is encoded according to the TEI P5: Guidelines for Electronic Text Encoding and Interchange, developed and maintained by the Text Encoding Initiative Consortium (TEI). DirKorp is available for download under the CC BY-SA 4.0 license from GitHub in TEI format. We describe applied pragmatic annotation as well as the structure of the corpus.
Named Entities in Modernist Literary Texts

This paper is a follow-up and elaboration of the paper published in the JTDH 2022 Conference Proceedings on manual semantic annotation of named entities based on a proposed set of annotations for a corpus of modernist literary texts. We first briefly describe the corpus and introduce the annotation scheme, then focus on the results of additional analyses, and conclude with further challenges and issues we identified with respect to established NER systems and practices of related projects. Overall, we identify several categories of proper names, foreign language elements, and bibliographic citations, but focus here on the challenges of annotating names of literary characters and place names, and provide examples of the results of preliminary analyses of these entities in the corpus.
Measuring the impact of SR-IOV and virtualization on packet round-trip time

This article explores different data plane configurations for data center servers, focusing on scenarios involving SR-IOV in conjunction with KVM virtualization. Specifically, it evaluates the performance of different ways of using SR-IOV, including MacVTap “passthrough” mode with SR-IOV and PCI Passthrough on the Linux data plane. The study aims to shed light on how SR-IOV can be leveraged to optimize round-trip time (RTT) and resource usage. Through the experiments, we confirmed the expected behaviors of the technology but also clarified and identified behavioral aspects not yet known. For example, we confirmed that SR-IOV could improve RTT and outperform more traditional configurations, but we identified that this comes at the price of utilizing more computational resources, such as the CPU, depending on the orchestrated usage configuration. Furthermore, our evaluations also found that configuring the SR-IOV MacVTap in “passthrough” mode appears to be the best configuration when CPU resources are scarce or low or when scalability and flexibility are design requirements. In this article, we also expanded the SR-IOV assessment regarding the concurrency of this feature. Through these assessments, we identified that a VM without SR-IOV in a data center with other VMs that benefit from SR-IOV is inefficient from a performance point of view of communication. Thus, in this way, this study provides valuable information on how to optimize the use of SR-IOV in KVM environments to design efficient and high-performance virtualized data centers.
Grammatical and Pragmatic Aspects of Slovenian Modality in Socially Unacceptable Facebook Comments

This paper investigates the grammatical and pragmatic uses of epistemic and deontic modal expressions in a corpus of Slovenian socially acceptable and unacceptable Facebook comments. We propose a set of modals that do not interpretatively vary in their modality type in order to enable robust corpus searches and reliable quantification of the results. We show that deontic, but not epistemic, modals are significantly more frequent in socially unacceptable comments, and specifically that they favour violent discourse. We complement the quantitative findings with a qualitative analysis of the discursive roles played by the modals. We explore how pragmatic communicative strategies such as hedging, boosting, and face-saving arise from the underlying syntactic and semantic properties of the modal expressions, such as the modal force and clausal syntax.
Artificial lizard search optimized fuzzy logic approach to addressing authentication and data security challenges in P2P cloud environments

The cloud is a widely used technology for inter-organizational data exchange and managing digital information. Even though it offers significant potential for user convenience it is subjected to different security as well as privacy issues due to the refusal of the cloud peer to disclose their identity to others. This arise the need for an effective data exchange among different cloud peers by preserving the anonymity and data privacy of the users. Hence, an anonymous secure data exchange solution is presented in this article by employing authentication as well as key agreement (AKA) protocol. The Fuzzy Logic-Based Anonymous Identity Generation Module is used to improve the data security and user privacy of the AKA protocol by establishing mutual authentication for multiple users via the session keys. The use of the peer-to-peer (P2P) cloud system in this study offers secure and reliable storage since data is partitioned into small blocks and stored in multiple locations. The fuzzy logic model offers registration services and prevents the P2P cloud from various attacks and temporary key leakage issues using the session key. The proposed model is tested on the NIST Special Database 302, and it demonstrates superior performance compared to existing methods. Experimental results confirm the effectiveness of the proposed method in achieving better security and resilience against various cyber-attacks. Furthermore, it minimizes communication overhead during the authentication process and provides resistance against various cyber-attacks. In this manner, the proposed model withstands different attacks and preserves user privacy when compared to the baseline security protocols.
Images as Metadata: A New Perspective for Describing Research Data

AbstractIndispensable in many contexts, images are fundamental in the tasks of representation and transmission of information. In the scientific context, images can be tools for researchers seeking to see their data properly managed. Research data management guides in this direction as it determines necessary phases in the life cycle of projects. The description phase is fundamental as it is an essential means for data context, safeguarding, and reuse. The description often occurs through metadata models composed of descriptors capable of attributing context. However, there is one common aspect: the values associated with these descriptors are always textual or numeric. Through studies and work developed over the last few years, we propose a new approach to description, where images can have a preponderant role in the description of data, assuming the role of metadata. We present several pieces of evidence, point out their challenges and determine the opportunities this new perspective can have in the research. Images have specific characteristics that can be leveraged in improving data description. Historical evidence establish that images have always been used and produced in research, yet their representational ability has never been harnessed to describe data and give more context to the scientific process.Keywords: research data managementimagesmetadatadescriptionimage as metadata Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 https://journalofbiogeographynews.org/2021/05/22/how-to-write-a-great-perspective-article/2 https://www.growkudos.com/?utm_source=navbar-logo3 https://biocanvas.net/4 https://bbsrc.tumblr.com/5 https://bpod.mrc.ac.uk/Additional informationFundingJoana Rodrigues is supported by research grant from FCT - Fundação para a Ciência e Tecnologia: PD/BD/150288/2019.
Farmers' Awareness Towards TNAU -AAS Web Cum Mobile App for Western Agro Climatic Zone (ACZ) of Tamil Nadu

A survey was conducted in Coimbatore, Western ACZ of Tamil Nadu purposively with 240 farmers using well-structured interview schedule by convenient sampling method to assess the utility behaviour of smart phones. The frequency and percentage analysis was used to analyse the data .Age and education influenced the farmers to know about the appropriate technological interventions in agriculture. Easy access to updated information was higher with smart phones (83 %) and 80 % respondents use mobile app to know about weather forecast. Regarding the App handling skill, 92% could download the app from the play store, 83 % could enter the basic details, 74 % could enter the crop details, 67 % could access the message delivered and 59 % could follow up the messages in the app respectively. The overall satisfaction of AAS was realized by 79 % of the respondents in the study area. Harnessing the full potential of ICT-enabled solutions in agriculture was made possible by the current study.
Development and Evaluation of Automated School Forms Manager (ASM) Senior High School Edition

Inaccuracy as well as inefficiency has always been the issue in completing the various school forms based on the focus grouped discussion. To address this issue, the Excel-based Automated School forms Manager Senior High School Edition was developed and evaluated. Employing quantitative and qualitative research designs, the innovation was evaluated by 20 senior high school teacher-participants which were purposively chosen. Using an adopted instrument, results revealed that validity, flexibility, efficiency, user-friendliness, reliability, security, and accuracy had a mean rating of 4.43, 4.42, 4.34, 4.33, 4.33, 4.25, and 4.20 respectively. These results suggest that the participants find the ASM Senior High Edition as an acceptable innovation. Qualitative analysis revealed some issues about the innovation; one of the participants noted that there could be an issue regarding the accuracy of the information. The data encoded in the master sheet was transferred in another pertinent document without any discrepancies. Hence, accuracy of the innovation is not an issue. In conclusion, an Excel-based workbook is successfully developed and evaluated. The evaluation revealed that the ASM is a valid, flexible, efficient, user-friendly, reliable, secure, and accurate system. It is recommended to evaluate it with bigger participants and develop an ASM for elementary and junior high school.
A Framework for Designing Tabletop Games in Group-Based Motor Rehabilitation

Current approaches for movement rehabilitation tend to focus on individuals interacting one-on-one with a therapist in a clinical setting – this is both labor intensive and costly. Group-based rehabilitation games provide new ways to leverage therapy through observational learning, peer support, and social facilitation while reducing healthcare costs. There is strong evidence to suggest group therapy can promote participation and social interaction to broaden the outcomes for patients. Also, game elements that encourage groups to work together (face-to-face) can enhance the engagement of users and promote skill acquisition. However, the integration of game design in a group rehabilitation context does not have a strong presence in current therapy. In this chapter we outline the principles of group interaction that expand our concept of motor rehabilitation. We pay particular attention to game design for interactive tabletop displays that support multiple players co-located in the same physical space. The potential benefits and characteristics of group interaction and tabletop games are discussed to develop a design framework for movement rehabilitation.