Reviewerly/exHarmony huggingface dataset:
Literacy Culture and Digital Literacy in Elementary Schools

The purpose of the study was to describe the implementation of literacy culture and digital literacy, as well as identify the supporting and inhibiting factors of literacy culture and digital literacy in increasing reading interest of elementary school students. This research uses a case study qualitative approach. Data collection techniques with participatory observation, interviews, and documentation. The validity of the data using triangulation techniques. This research was conducted at SD Negeri Kecipir 01 Brebes, Central Java. The results of this study are: 1) the implementation of literacy culture, namely: reading corner, reading 15 minutes before learning, library procurement; 2) Implementation of digital literacy by: E-library, a digital guide for teachers in learning; 3) Supporting factors: The role of schools by providing infrastructure suggestions, students' reading interest, the role of parents, teachers have a good learning spirit; 4) Inhibiting factors: incomplete infrastructure, student conditions and an unsupportive environment, lack of student interest in reading, and lack of parental supervision.
Cooling water system control of a commercial complex based on reinforcement learning

Optimal control of cooling water systems is crucial for enhancing energy efficiency in commercial complex. The operation combination of cooling towers and pumps has a significant impact on heat transmission and chiller performace. However, it is challenging to optimize the control strategy of a cooling water system with complex hydraulic and thermal characteristics. This study proposes a reinforcement learning (RL) control framework for cooling water systems. A detailed pysical model is constructed to reflect the charateristics of the cooling water system. Based on the pysical model, the RL model is trained to make operation strategy for energy saving. In this study, a cooling water system of a commercial complex in Guangzhou is used as a case study to evaluate the performance of the RL control model. Compared to the traditional fixed strategy, the proposed RL model can save 1353MWh (11.8%) of the chiller plant's electricity consumption during a whole cooling season. The proposed RL framework provides guidance for the optimal control of cooling systems, and demonstrates the vision of artificial intellegence application for energy saving in buildings.
Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish

Arda Uzunoglu, Gözde Şahin. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Summary Cycles: Exploring the Impact of Prompt Engineering on Large Language Models’ Interaction with Interaction Log Information

With the aim of improving work efficiency, we examine how Large Language Models (LLMs) can better support the handoff of information by summarizing user interactions in collaborative intelligence analysis communication. We experiment with interaction logs, or a record of user interactions with a system. Inspired by chain-of-thought prompting, we describe a technique to avoid API token limits with recursive summarization requests. We then apply ChatGPT over multiple iterations to extract named entities, topics, and summaries, combined with interaction sequence sentences, to generate summaries of critical events and results of analysis sessions. We quantitatively evaluate the generated summaries against human-generated ones using common accuracy metrics (e.g., ROUGE-L, BLEU, BLEURT, and TER). We also report qualitative trends and the factuality of the output. We find that manipulating the audience feature or providing single-shot examples minimally influences the model's accuracy. While our methodology successfully summarizes interaction logs, the lack of significant results raises questions about prompt engineering and summarization effectiveness generally. We call on explainable artificial intelligence research to better understand how terms and their placement may change LLM outputs, striving for more consistent prompt engineering guidelines.
SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search

Atharva Naik, Soumitra Das, Jyothi Vedurada, Somak Aditya. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Data from Does the Hepatitis B Antigen HBx Promote the Appearance of Liver Cancer Stem Cells?

&lt;div&gt;Abstract&lt;p&gt;Hepatitis B virus (HBV) is a major etiologic agent of chronic liver disease and hepatocellular carcinoma (HCC). HBV-encoded X antigen, HBx, and pathways implicated in the self-renewal of stem cells contribute to HCC, but it is not clear whether HBx expression promotes “stemness.” Thus, experiments were designed to test the hypothesis that HBx triggers malignant transformation by promoting properties that are characteristic of cancer stem cells (CSC). To test this hypothesis, HepG2 cells were stably transduced with HBx and then assayed for phenotypic and molecular characteristics of “stemness.” The relationship between HBx and “stemness”-associated markers was also evaluated by immunohistochemical staining of liver and tumor tissue sections from HBV-infected patients. The results showed that &lt;i&gt;Oct-4&lt;/i&gt;, &lt;i&gt;Nanog&lt;/i&gt;, &lt;i&gt;Klf-4&lt;/i&gt;, &lt;i&gt;β&lt;/i&gt;-catenin, and epithelial cell adhesion molecule (&lt;i&gt;EpCAM&lt;/i&gt;) were activated by HBx &lt;i&gt;in vitro&lt;/i&gt; and &lt;i&gt;in vivo&lt;/i&gt;. &lt;i&gt;EpCAM&lt;/i&gt; was detected in the nuclei of human HCC cells from infected patients. HBx promotes “stemness” by activating β-catenin and epigenetic upregulation of miR-181, both of which target EpCAM. HBx expression was also associated with depressed levels of E-cadherin. Moreover, HBx stimulated cell migration, growth in soft agar, and spheroid formation. This work is the first to propose that HBV promotes “stemness” in the pathogenesis of HCC. HBx-associated upregulated expression of multiple “stemness” markers supports the hypothesis that HBx contributes to hepatocarcinogenesis, at least in part, by promoting changes in gene expression that are characteristics of CSCs. &lt;i&gt;Cancer Res; 71(10); 3701–8. ©2011 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
Data from Mammographic Breast Density and Breast Cancer: Evidence of a Shared Genetic Basis

&lt;div&gt;Abstract&lt;p&gt;Percent mammographic breast density (PMD) is a strong heritable risk factor for breast cancer. However, the pathways through which this risk is mediated are still unclear. To explore whether PMD and breast cancer have a shared genetic basis, we identified genetic variants most strongly associated with PMD in a published meta-analysis of five genome-wide association studies (GWAS) and used these to construct risk scores for 3,628 breast cancer cases and 5,190 controls from the UK2 GWAS of breast cancer. The signed per-allele effect estimates of single-nucleotide polymorphisms (SNP) were multiplied with the respective allele counts in the individual and summed over all SNPs to derive the risk score for an individual. These scores were included as the exposure variable in a logistic regression model with breast cancer case–control status as the outcome. This analysis was repeated using 10 different cutoff points for the most significant density SNPs (1%–10% representing 5,222–50,899 SNPs). Permutation analysis was also conducted across all 10 cutoff points. The association between risk score and breast cancer was significant for all cutoff points from 3% to 10% of top density SNPs, being most significant for the 6% (2-sided &lt;i&gt;P&lt;/i&gt; = 0.002) to 10% (&lt;i&gt;P&lt;/i&gt; = 0.001) cutoff points (overall permutation &lt;i&gt;P&lt;/i&gt; = 0.003). Women in the top 10% of the risk score distribution had a 31% increased risk of breast cancer [OR = 1.31; 95% confidence interval (CI), 1.08–1.59] compared with women in the bottom 10%. Together, our results show that PMD and breast cancer have a shared genetic basis that is mediated through a large number of common variants. &lt;i&gt;Cancer Res; 72(6); 1478–84. ©2012 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
THE ANALYSIS OF DIRECTIVE SPEECH ACT DURING DISTANCE LEARNING

Since the whole world has experienced the Covid-19 pandemic, which has an impact on the education system; it has changed temporarily for an indefinite period. Learning carried out in Indonesia in particular was changed from face-to-face meetings to distance learning. Interaction or communication between teachers and students is carried out online or utilizing technology, both orally and in writing. Speech acts also influence distance learning, where the expressions are given by the teacher becomes a part that has power in regulating the success of distance learning. This study aims to describe the types of directive speech acts performed by teachers to elementary school students. This research is a qualitative descriptive study with a population of elementary school teachers in Batang, Central Java. The researcher took a sample of 10 teachers who were taken randomly. The results of the study found that directive speech acts with the type of command expression are often used by teachers in distance learning with 16 expressions. The conclusion of this research is the expression of command is an expression that is often spoken by the teacher in delivering the material. Through this research, it is hoped that it can provide brief information that the teacher's directive speech acts are part of the process of delivering material or information.
UNGRAMMATICAL SENTENCES: A GRAMMATICAL ERROR ANALYSIS ON ARCHITECTS STUDENTS’ CORPUSES OF PONTIANAK STATE POLYTECHNIC

Writing has become a challenging skill for EFL or ESL students to overcome. It is not only required the ability to compose a good writing but also a deep layer known as the grammatical aspect. Understanding grammar is very important for building good sentences. Hence, this study aims to find out the most grammatical error found in students’ corpuses and classify the students’ error. To generate this purpose, the researcher explored the grammatical mistakes made with the aid of using college students at the first semester of Pontianak State Polytechnic as the sample of research. This study was conducted using descriptive research using students’ corpus as the data collection. The results of this study discovered that the addition error is the most frequent type of error made based on the frequency on the percentage that was 39,02%. Furthermore, this kind of error is classified as substantial. As for the other types of errors made by students, namely mis formation with the total of errors as 35.36%, omission of error as 23.17% and error in disordering as 2.44%. It can be concluded that the students made errors due to their background of knowledge and their lack of understanding of English structure.
ERROR ANALYSIS OF SENTENCE STRUCTURE ON STUDENTS'PARAGRAPH WRITING

The objective of this study is to recognize errors in the sentence structure ofstudents' paragraph writing tasks. Quantitative research is applied to find out what type of errors and frequent errors are made by students in writing English paragraphs. There were 20 students' paragraph writing analyzed on the aspect of the verb tenses, subject-verb agreement, articles, pronoun agreement, sentence fragments, and run-on sentences/ comma splices. The result showed that the total for all kinds of errors made by the students in this assignment of paragraph writing was 82 errors. The two frequent errors occur in verb tense (23%) and run-on sentences (27%).
IMPLEMENTING AN ONLINE APPLICATION FOR CREATING CHILDREN'S BOOKS IN TEACHING ENGLISH TO YOUNG LEARNERS SUBJECT

English children's storybooks are real sources for children's languageacquisition. A student's preference for reading books is determined by their teachers, who should be able to convey English subjects via a variety of media, including children's storybooks. The majority of English teachers in elementary schools are graduates of the English Education Study Program (EESP) who have completed the Teaching English for Young Learners (TEYL) subject. Thus, this study aims to implement an online learning application known as storyweaver.org.in in Teaching English Young Learners (TEYL) subject for EESP who are teachers want-to-be in the future. The qualitative method is employed here with documentation as data collection that is in form of photos and students’ storybooks. All the data are analyzed using the descriptive analysis method. Overall, the findings showed that planning, implementing, and evaluating were employed in using storyweaver.org.in in a classroom. Creating and using storybooks occurred to improve Foreign Language skills and cultural customs for young learners who find that storybooks are simple and pleasing methods to learn their culture.
Data from Hypomethylating Therapy in an Aggressive Stroma-Rich Model of Pancreatic Carcinoma

&lt;div&gt;Abstract&lt;p&gt;Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy that resists current treatments. To test epigenetic therapy against this cancer, we used the DNA demethylating drug 5-aza-2′-deoxycytidine (DAC) in an aggressive mouse model of stromal rich PDAC (KPC-Brca1 mice). In untreated tumors, we found globally decreased 5-methyl-cytosine (5-mC) in malignant epithelial cells and in cancer-associated myofibroblasts (CAF), along with increased amounts of 5-hydroxymethyl-cytosine (5-HmC) in CAFs, in progression from pancreatic intraepithelial neoplasia to PDAC. DAC further reduced DNA methylation and slowed PDAC progression, markedly extending survival in an early-treatment protocol and significantly though transiently inhibiting tumor growth when initiated later, without adverse side effects. Escaping tumors contained areas of sarcomatoid transformation with disappearance of CAFs. Mixing-allografting experiments and proliferation indices showed that DAC efficacy was due to inhibition of both the malignant epithelial cells and the CAFs. Expression profiling and immunohistochemistry highlighted DAC induction of STAT1 in the tumors, and DAC plus IFN-γ produced an additive antiproliferative effect on PDAC cells. DAC induced strong expression of the testis antigen deleted in azoospermia-like (DAZL) in CAFs. These data show that DAC is effective against PDAC &lt;i&gt;in vivo&lt;/i&gt; and provide a rationale for future studies combining hypomethylating agents with cytokines and immunotherapy. &lt;i&gt;Cancer Res; 73(2); 885–96. ©2012 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
THE IMPACT OF NON-FORMAL ENGLISH COURSE ININCREASE THE GRAMMATICAL SKILLS OF JUNIOR HIGH SCHOOL STUDENTS

Non-formal English course institutions can establish a learning environment that emphasizes not only students' affective side, but also their cognitive and psychomotor components. Therefore, this study was aimed to find out The Impact of Non-Formal English Course on The Grammatical Skills. This research uses a qualitative approach, such as a descriptive case study with observation and interviews. In addition, the data analysis used is data reduction, data display, and conclusions drawing. The findings reveal that non-formal English courses have a very good influence on students' foreign language skills. Besides having an impact on their formal school grades, these non-formal courses are also very useful in students' daily lives. In addition, students also really like the teaching methods in non-formal courses that are simple and easy to understand. Therefore, we need to know that the material obtained from informal schools is not enough to develop students' skills. Students need more intensive teaching and additional material to get satisfactory results, such as attending non-formal courses and so on.
Data from Comparing Signaling Networks between Normal and Transformed Hepatocytes Using Discrete Logical Models

&lt;div&gt;Abstract&lt;p&gt;Substantial effort in recent years has been devoted to constructing and analyzing large-scale gene and protein networks on the basis of “omic” data and literature mining. These interaction graphs provide valuable insight into the topologies of complex biological networks but are rarely context specific and cannot be used to predict the responses of cell signaling proteins to specific ligands or drugs. Conversely, traditional approaches to analyzing cell signaling are narrow in scope and cannot easily make use of network-level data. Here, we combine network analysis and functional experimentation by using a hybrid approach in which graphs are converted into simple mathematical models that can be trained against biochemical data. Specifically, we created Boolean logic models of immediate-early signaling in liver cells by training a literature-based prior knowledge network against biochemical data obtained from primary human hepatocytes and 4 hepatocellular carcinoma cell lines exposed to combinations of cytokines and small-molecule kinase inhibitors. Distinct families of models were recovered for each cell type, and these families clustered topologically into normal and diseased sets. &lt;i&gt;Cancer Res; 71(16); 5400–11. ©2011 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
Examining The Role of Innovation in Enhancing Technological Capability in Organizational Performance Using Structural Equation Modeling (Case Study: Agricultural Bank of Tehran)

Objective: The aim of this research was to investigate the impact of innovation on enhancing technological capability in organizational performance. Method: This study is practical in nature as its findings can be used by the Agricultural Bank of Tehran and is cross-sectional in terms of time. The research population consisted of headquarters managers and all senior branch managers of the Agricultural Bank of Tehran, totaling 32 headquarters managers and 460 deputy and senior branch managers, with a total of 115 branches. Therefore, the total number of senior managers is estimated to be 500. Accordingly, the sample size for this research is estimated to be about 217 individuals, based on Morgan's table. The sampling method used in this research was stratified random sampling. The data collection tool was a researcher-made questionnaire with 64 questions. The validity of the questionnaire was examined in terms of content validity and construct validity, and reliability was calculated using Cronbach's alpha. The conceptual model presented by the researcher was tested using structural equation modeling and the SMART-PLS software. Results: Results showed that external stimuli have a significant positive impact on internal stimuli, open innovation, and closed innovation. Internal stimuli have a significant positive impact on closed innovation but no impact on open innovation. Also, open innovation does not affect technological capabilities. Closed innovation has a significant positive impact on technological capabilities, and technological capabilities significantly positively affect technology adoption. Ultimately, it was found that the impact of technology adoption on organizational performance is significant and positive. Conclusion: The findings of this study provide valuable insights for managers and policymakers in the banking sector, particularly those looking to leverage innovation for technological advancement and superior organizational outcomes.
Data from Favoritism in DNA Methylation

&lt;div&gt;Abstract&lt;p&gt;This perspective on Candiloro and Dobrovic (beginning on p. 862 in this issue of the journal) highlights the interplay between epigenetic aberrations and underlying DNA sequence changes and illustrates how these alterations may predispose individuals to cancer. Candiloro and Dobrovic clearly show that particular genotypes of the &lt;i&gt;MGMT&lt;/i&gt; gene are associated with its methylation in healthy individuals. Aberrant &lt;i&gt;MGMT&lt;/i&gt; methylation may identify individuals who could be targeted for cancer screening and chemoprevention strategies.&lt;/p&gt;&lt;/div&gt;
Data from Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy

&lt;div&gt;Abstract&lt;p&gt;Delayed terminal duct lobular unit (TDLU) involution is associated with elevated mammographic breast density (MD). Both are independent breast cancer risk factors among women with benign breast disease (BBD). Prior digital analyses of normal breast tissues revealed that epithelial nuclear density (END) and TDLU involution are inversely correlated. Accordingly, we examined associations of END, TDLU involution, and MD in BBD clinical biopsies. This study included digitized images of 262 representative image-guided hematoxylin and eosin–stained biopsies from 224 women diagnosed with BBD, enrolled within the cross-sectional BREAST-Stamp project that were visually assessed for TDLU involution (TDLU count/100 mm&lt;sup&gt;2&lt;/sup&gt;, median TDLU span and median acini count per TDLU). A digital algorithm estimated nuclei count per unit epithelial area, or END. Single X-ray absorptiometry of prebiopsy ipsilateral craniocaudal digital mammograms measured global and localized MD surrounding the biopsy region. Adjusted ordinal logistic regression models assessed relationships between tertiles of TDLU and END measures. Analysis of covariance examined mean differences in MD across END tertiles. TDLU measures were positively associated with increasing END tertiles [TDLU count/100 mm&lt;sup&gt;2&lt;/sup&gt;, OR&lt;sub&gt;T3vsT1&lt;/sub&gt;: 3.42, 95% confidence interval (CI), 1.87–6.28; acini count/TDLU&lt;sub&gt;T3vsT1&lt;/sub&gt;, OR: 2.40, 95% CI, 1.39–4.15]. END was significantly associated with localized, but not, global MD. Relationships were most apparent among patients with nonproliferative BBD. These findings suggest that quantitative END reflects different but complementary information to the histologic information captured by visual TDLU and radiologic MD measures and merits continued evaluation in assessing cellularity of breast parenchyma to understand the etiology of BBD.&lt;/p&gt;&lt;/div&gt;
Impact of Remote Criminal Trial on the Evidentiary Value of Witness Testimony and Cross-Examination

This article evaluates the credibility and evidentiary value of witness testimony and cross-examination conducted remotely in a criminal trial. It begins by discussing the difference between a typical criminal trial/proceeding and a criminal trial conducted remotely through video-link via Zoom, Google Meet, or other online video-meeting platforms. Furthermore, it elaborates on the principles of a fair trial. It makes a critical inquiry as to whether the parameters of a fair trial are met if the trial is conducted remotely. The article aims to establish that while remote criminal trials can serve as an alternative to regular criminal trials, this benefit does come with a significant cost. It is for the judges and jury to decide whether the benefit outweighs the price through a cost-benefit analysis of the entire scenario. The main argument behind discouraging the trend of remote criminal trials is its impact on the evidentiary value of witness testimony and cross-examination. These two components are considered to be the essence of a criminal trial. Lastly, it discusses the impact of remote criminal trials on the evidentiary value of these components in light of the comparative analysis of procedural formalities and requirements.