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Articles 2341 - 2370 of 8642
Full-Text Articles in Entire DC Network
Probing Effects Of Contextual Bias On Number Magnitude Estimation, Xuehao Du, Ping Ji, Wei Qin, Lei Wang, Yunshi Lan
Probing Effects Of Contextual Bias On Number Magnitude Estimation, Xuehao Du, Ping Ji, Wei Qin, Lei Wang, Yunshi Lan
Research Collection School Of Computing and Information Systems
The semantic understanding of numbers requires association with context. However, powerful neural networks overfit spurious correlations between context and numbers in training corpus can lead to the occurrence of contextual bias, which may affect the network's accurate estimation of number magnitude when making inferences in real-world data. To investigate the resilience of current methodologies against contextual bias, we introduce a novel out-of- distribution (OOD) numerical question-answering (QA) dataset that features specific correlations between context and numbers in the training data, which are not present in the OOD test data. We evaluate the robustness of different numerical encoding and decoding methods …
Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw
Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw
Research Collection School Of Computing and Information Systems
Automated coherence metrics constitute an efficient and popular way to evaluate topic models. Previous work presents a mixed picture of their presumed correlation with human judgment. This work proposes a novel sampling approach to mining topic representations at a large scale while seeking to mitigate bias from sampling, enabling the investigation of widely used automated coherence metrics via large corpora. Additionally, this article proposes a novel user study design, an amalgamation of different proxy tasks, to derive a finer insight into the human decision-making processes. This design subsumes the purpose of simple rating and outlier-detection user studies. Similar to the …
Genixer : Empowering Multimodal Large Language Models As A Powerful Data Generator, Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
Genixer : Empowering Multimodal Large Language Models As A Powerful Data Generator, Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
Research Collection School Of Computing and Information Systems
Multimodal Large Language Models (MLLMs) demonstrate exceptional problem-solving capabilities, but few research studies aim to gauge the ability to generate visual instruction tuning data. This paper proposes to explore the potential of empowering MLLMs to generate data independently without relying on GPT-4. We introduce Genixer, a comprehensive data generation pipeline consisting of four key steps: (i) instruction data collection, (ii) instruction template design, (iii) empowering MLLMs, and (iv) data generation and filtering. Additionally, we outline two modes of data generation: task-agnostic and task-specific, enabling controllable output. We demonstrate that a synthetic VQA-like dataset trained with LLaVA1.5 enhances performance on 10 …
Granular3d: Delving Into Multi-Granularity 3d Scene Graph Prediction, Kaixiang Huang, Jingru Yang, Jin Wang, Shengfeng He, Zhan Wang, Haiyan He, Qifeng Zhang, Guodong Lu
Granular3d: Delving Into Multi-Granularity 3d Scene Graph Prediction, Kaixiang Huang, Jingru Yang, Jin Wang, Shengfeng He, Zhan Wang, Haiyan He, Qifeng Zhang, Guodong Lu
Research Collection School Of Computing and Information Systems
This paper addresses the significant challenges in 3D Semantic Scene Graph (3DSSG) prediction, essential for understanding complex 3D environments. Traditional approaches, primarily using PointNet and Graph Convolutional Networks, struggle with effectively extracting multi-grained features from intricate 3D scenes, largely due to a focus on global scene processing and single-scale feature extraction. To overcome these limitations, we introduce Granular3D, a novel approach that shifts the focus towards multi-granularity analysis by predicting relation triplets from specific sub-scenes. One key is the Adaptive Instance Enveloping Method (AIEM), which establishes an approximate envelope structure around irregular instances, providing shape-adaptive local point cloud sampling, thereby …
An Efficient Superhypersoft Framework For Evaluating Llms-Based Secure Blockchain Platforms, Mona Mohamed, Alaa Elmor, Florentin Smarandache, Ahmed A. Metwaly
An Efficient Superhypersoft Framework For Evaluating Llms-Based Secure Blockchain Platforms, Mona Mohamed, Alaa Elmor, Florentin Smarandache, Ahmed A. Metwaly
Neutrosophic Sets and Systems
In the age of modern technology, the use of the internet has become imperative. However, this widespread access presents a double-edged sword and opens doors for hackers and scammers to exploit vulnerabilities and engage in illegal activities. Accordingly, scholars and stakeholders are attempting to solve this matter. Large Language Models (LLMs) have provided highly effective methodologies and solutions in various cybersecurity sectors. Hence, we exhibited the efficacy of LLMs in several information and communication technologies (ICT) such as the Internet of Things (IoT), cloud computing, blockchain technology (BCT)…etc which are attacked and threatened. Accordingly, the objective of our study is …
The Effect Of Nationalism On Governance Choices In Cross-Border Collaborations, Gokhan Ertug, Ilya R. P. Cuypers, Douglas Dow, Jesper Edman
The Effect Of Nationalism On Governance Choices In Cross-Border Collaborations, Gokhan Ertug, Ilya R. P. Cuypers, Douglas Dow, Jesper Edman
Research Collection Lee Kong Chian School Of Business
We examine how nationalism influences governance choice in cross-border collaborations. While nationalism has historically been within the purview of political scientists, we demonstrate its relevance to management scholars by theorizing how nationalist attitudes and behaviors among decision-makers might shape strategic decisions about collaborations with foreign partners. Drawing on insights from the social psychology literature, we theorize how two attitudes commonly associated with nationalism, i.e., lower levels of trust and an unwillingness to work with foreigners, may increase decision-makers’ concerns about opportunistic behavior and invasiveness in cross-border collaborations. Integrating these insights into two key theories of governance choice, i.e., transaction cost …
“Just Attaching A Face”: Engaging Local Refugee Communities In Preservice Teacher Education Focused On Students With Immigrant/Refugee Backgrounds, Stephanie Wessels, Theresa Catalano, Jenelle Reeves, Alison E. Leonard, Uma Ganesan, Alessia Barbici Wagner, Consuelo Gallardo
“Just Attaching A Face”: Engaging Local Refugee Communities In Preservice Teacher Education Focused On Students With Immigrant/Refugee Backgrounds, Stephanie Wessels, Theresa Catalano, Jenelle Reeves, Alison E. Leonard, Uma Ganesan, Alessia Barbici Wagner, Consuelo Gallardo
Teaching and Learning Faculty Publications
This arts-practice research study explores what happens when preservice high school teachers (aka teacher-learners) and local refugee communities engage in the co-creation of art together via an arts-and community-based project. Grounded in social justice teacher education, the researchers conducted a 2-week workshop in which participants included preservice high school teachers and local Yazidi community members who explored art in a museum together, spent time getting to know each other and their backgrounds, and re-created some of their stories in the form of dance. Findings reveal a variety of ways in which the workshops helped teacher-learners develop interculturality, increase understanding of …
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Faculty, Staff and Student Publications
IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.
OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.
MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Faculty, Staff and Student Publications
OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.
MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …
Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang
Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang
Faculty, Staff and Student Publications
Objectives: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, and large pre-training datasets to perform a wide spectrum of natural language processing (NLP) tasks. Using a few examples (few-shot) or no examples (zero-shot) for prompt-tuning has enabled LLMs to achieve state-of-the-art performance in a broad range of NLP applications. This article by the American Medical Informatics Association (AMIA) NLP Working Group characterizes the opportunities, challenges, and best practices for our community to leverage and advance the integration of …
A Novel And An Efficient Codas Technique To Solve Real-Life Magdm Problems In Fermatean Neutrosophic Environment, S. Bhuvaneshwari, C. Antony Crispin Sweety, Akanksha Singh, Said Broumi, Mohamed Talea, Prasanta Kumar Raut
A Novel And An Efficient Codas Technique To Solve Real-Life Magdm Problems In Fermatean Neutrosophic Environment, S. Bhuvaneshwari, C. Antony Crispin Sweety, Akanksha Singh, Said Broumi, Mohamed Talea, Prasanta Kumar Raut
Neutrosophic Sets and Systems
As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets, and their combinations have been developed to represent uncertain, imprecise, incomplete, and inconsistent information existing in the real world. A neutrosophic set has the potential to be a general framework for uncertainty analysis in various spectra. On the other hand, the idea of Fermatean neutrosophic sets (FNSs) is the hybrid model of Fermatean fuzzy sets and neutrosophic sets, developed to enable the analytical management of ambiguous data from relatively typical real world decision-making scenarios. In this work, we develop an algorithm to compare the Fermatean neutrosophic set and …
Evaluation Of Distributed Leadership In Education Using Neutrosophic Hypersoft Set, Nouran Ajabnoor
Evaluation Of Distributed Leadership In Education Using Neutrosophic Hypersoft Set, Nouran Ajabnoor
Neutrosophic Sets and Systems
Leadership in education needs to transcend, be responsive, and be adaptable to the boundaries of school leadership. Distributed leadership refers to various organizational stakeholders with a transformative framework and methodology. This paper proposed a decision-making methodology to evaluate distributed leadership in education based on multiple criteria and alternatives. The multi-criteria decision-making is used to deal with multiple criteria and alternatives. The Multi Attributive Border Approximation Area Comparison (MABAC) approach ranks the alternatives. The neutrosophic set was used to deal with uncertainty and vague information in decision-making problems. This study used the neutrosophic HyperSoft Set. Neutrosophic HyperSoft Set is a new …
Neutrosophic Sets And Systems, Vol. 72,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi
Neutrosophic Sets And Systems, Vol. 72,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi
Neutrosophic Sets and Systems
the whole volume
Technoculture And Language Models In Archaeology: Reconstructing And Preserving Cultural Narratives Through Digital Humanities, James Hutson
Technoculture And Language Models In Archaeology: Reconstructing And Preserving Cultural Narratives Through Digital Humanities, James Hutson
Faculty Scholarship
Technoculture, which examines the intersection of culture and technology, has increasingly permeated archaeological practice, transforming both scholarly research and public engagement [1-3]. The introduction of digital tools such as virtual reality (VR), geographic information systems (GIS), and large language models (LLMs) has democratized access to archaeological knowledge, enabling communities to engage more actively with their cultural heritage [4-6]. This short article explores the mutual influence of technocultural studies and AI technologies on archaeology, with a focus on the preservation and reconstruction of cultural narratives through digital means.
The first aspect of this intersection lies in how technocultural tools are creating …
Learners’ Mathematics Identity And Achievement: Where Does The Teacher Come In?, Luis M. Fernandez, Ursula Nguyen, Rebecca Callahan
Learners’ Mathematics Identity And Achievement: Where Does The Teacher Come In?, Luis M. Fernandez, Ursula Nguyen, Rebecca Callahan
School of Mathematical & Statistical Sciences Faculty Publications
In response to recent interest in K-12th students’ mathematics identity formation and its implications for achievement, the present study examines the relationship between learners’ mathematics identity and student achievement while simultaneously accounting for teacher-enacted instructional practices in mathematics. Drawing from HSLS:2009, a nationally representative dataset of 9th–12th students within the United States, we use multiple linear regression analyses to examine how teachers’ mathematical pedagogies and 9th grade students’ perceptions of teacher equity are associated, first, with students’ mathematics identity, and, subsequently, math achievement after accounting for students’ mathematics identity. Ultimately, results from our models reveal a statistically significant relationship between …
Ethnographic Methods: Training Norms And Practices And The Future Of American Anthropology, Rosalyn Negrón, Amber Wutich, H. Russell Bernard, Alexandra Brewis, Alissa Ruth, Katherine Mayfour, Barbara Piperata, Melissa Beresford, Cindi Sturtzsreetharan, Pardis Mahdavi, Jessica Hardin, Rebecca Zarger, Krista Harper, James Holland Jones, Clarence C. Gravlee, Bryan Brayboy
Ethnographic Methods: Training Norms And Practices And The Future Of American Anthropology, Rosalyn Negrón, Amber Wutich, H. Russell Bernard, Alexandra Brewis, Alissa Ruth, Katherine Mayfour, Barbara Piperata, Melissa Beresford, Cindi Sturtzsreetharan, Pardis Mahdavi, Jessica Hardin, Rebecca Zarger, Krista Harper, James Holland Jones, Clarence C. Gravlee, Bryan Brayboy
Faculty Research, Scholarly, and Creative Activity
American anthropology is engaged in significant self-reckonings that call for big changes to how anthropology is practiced. These include (1) recognizing and taking seriously the demands to decolonize the ways research is done, (2) addressing precarious employment in academic anthropology, and (3) creating a discipline better positioned to respond to urgent societal needs. A central role for ethnographic methods training is a thread that runs through each of these three reckonings. This article, written by a team of cultural, biocultural, and linguistic anthropologists, outlines key connections between ethnographic methods training and the challenges facing anthropology. We draw on insights from …
Changes In Psychological Challenges, Positive Experiences, And Coping Strategies Among International Students In The United States Before And During The Covid-19 Pandemic: A Qualitative Study, Chulwoo Park, Shannon Shimada, Airi Irene Trisnadi, Patricia Angelica
Changes In Psychological Challenges, Positive Experiences, And Coping Strategies Among International Students In The United States Before And During The Covid-19 Pandemic: A Qualitative Study, Chulwoo Park, Shannon Shimada, Airi Irene Trisnadi, Patricia Angelica
Faculty Research, Scholarly, and Creative Activity
The purpose of this study was to understand how the challenges and coping strategies among international students in the United States changed before and during the COVID-19 pandemic. We conducted a qualitative study through one-on-one in-depth interviews during April–June 2021. A total of 34 international students in the San Francisco Bay Area participated in this study. NVivo was used to analyze the qualitative data. Before COVID-19, the challenges were primarily related to a sense of belonging, such as culture shock, language barriers, and loss of identity. However, some positive experiences from school life and new culture were also found before …
Major Questions, Common Sense?, Kevin Tobia, Daniel E. Walters, Brian Slocum
Major Questions, Common Sense?, Kevin Tobia, Daniel E. Walters, Brian Slocum
Faculty Scholarship
The Major Questions Doctrine (“MQD”) is the newest textualist interpretive canon, and it has driven consequential Supreme Court decisions concerning vaccine mandates, environmental regulation, and student loan relief. But the new MQD is a canon in search of legitimization. Critics allege that the MQD displaces the Court’s conventional textual analysis with judicial policymaking. Textualists have now responded that the MQD is a linguistic canon, consistent with textualism. Justice Barrett recently argued in Biden v. Nebraska that the MQD is grounded in ordinary people’s understanding of language and law, and scholarship contends that the MQD reflects ordinary people’s understanding of textual …
Geolinguistics: The Incorporation Of Geographic Information Systems And Science, Shawn Hoch, James J. Hayes
Geolinguistics: The Incorporation Of Geographic Information Systems And Science, Shawn Hoch, James J. Hayes
The Geographical Bulletin
Modern geographic information systems (GIS) and its incorporated spatial analysis tools allow sophisticated and efficient analysis of spatial data by researchers in many fields . Although the field of linguistics has long been of interest to geographers and spatial variation of language to linguists, researchers have made little use of the power of GIS and GIScience theory to address hypotheses regarding spatial variation of language and correlated physical and social variables . Discussion of modern GIS tools for spatial analysis, quantitative analysis, and cartography in geolinguistics has been largely absent from the literature . Linguists have applied GIS technology in …
Review Of Emily Sun’S On The Horizon Of World Literature, Jing Yang
Review Of Emily Sun’S On The Horizon Of World Literature, Jing Yang
CLCWeb: Comparative Literature and Culture
No abstract provided.
The Malvinas/Falklands War In Transatlantic Narratives: Exploring Collective Memory And Negotiating Self/Other Identity, Andrea R. Bellot
The Malvinas/Falklands War In Transatlantic Narratives: Exploring Collective Memory And Negotiating Self/Other Identity, Andrea R. Bellot
CLCWeb: Comparative Literature and Culture
In her article "The Malvinas/Falklands War in Transatlantic Narratives: Exploring Collective Memory and Negotiating Self/Other Identity", Andrea R. Bellot examines the remembrance of the Malvinas/Falklands War (1982) through cultural texts for children, presenting a comparative analysis of post-war narratives from both the United Kingdom and Argentina. Through a detailed exploration of "The Tin-Pot Foreign General and the Old Iron Woman" by British author and illustrator Raymond Briggs (1984), and the Argentine TV cartoon show "La Asombrosa Excursión de Zamba en las Islas Malvinas" (2012), broadcasted on Paka Paka, Bellot discusses how collective memory and national identity are crafted and contested …
Chinese Ideas And American Politics: Confucius As A Guideline For Leadership, Alfred Hornung
Chinese Ideas And American Politics: Confucius As A Guideline For Leadership, Alfred Hornung
CLCWeb: Comparative Literature and Culture
In his article "Chinese Ideas and American Politics: Confucius as a Guideline for Leadership", Alfred Hornung traces the influence of Chinese ideas on American politics with a focus on the works of Confucius. The more than 2.500-year-old impact of the Chinese philosopher on public conduct and his pursuit of virtuous perfection has served as a guideline for leadership emanating from China to Europe and America. For this trajectory of ideas, the historic and the new Silk Road play a decisive role. The exchange of goods along the land-based and maritime routes, which inform Xi Jinping's Belt and Road Initiative, also …
All Men Are Brothers: Pearl S. Buck’S Translation Of Shui Hu Zhuan And Its Effects On Her Writing Career, Zhihui Sophia Geng
All Men Are Brothers: Pearl S. Buck’S Translation Of Shui Hu Zhuan And Its Effects On Her Writing Career, Zhihui Sophia Geng
CLCWeb: Comparative Literature and Culture
In her article “All Men Are Brothers: Pearl S. Buck’s Translation of Shui Hu Zhuan and its Effects on Her Writing Career,” Zhihui Sophia Geng focuses on Pulitzer Prize winner and Noble Laureate Pearl Sydenstricker Buck’s All Men Are Brothers, her translation of the classical Chinese novel Shui Hu Zhuan. She examines the reception of her translation and analyzes the significance of All Men Are Brothers to Buck’s literary career. By providing the first complete translation of Shui Hu Zhuan to an English-speaking audience, Buck made a significant cultural contribution to the United States and English-speaking cultural spheres. The …
Exotic Construction Of An Ancient Oriental Sappho: On Rexroth’S Creative Translation Of Li Ch’Ing-Chao’S Ci-Poems And Its Influences, Yuqun Fu
CLCWeb: Comparative Literature and Culture
In her article “Exotic Construction of an Ancient Oriental Sappho: On Rexroth’s Creative Translation of Li Ch’ing-Chao’s Ci-Poems and its Influences,” Yuqun Fu discusses Li Ch’ing-Chao’s Ci-poems and her identity as a woman intellect in the patriarchal and feudal Song Dynasty of China. Due to Kenneth Rexroth’s feminist perspective and Sappho complex as well as his own pursuit to excel in the hipster stylistics of the newly prospering Beat writers, Rexroth turns to the Eastern women poets to fuel his own cause, especially in his idiosyncratic way of interpreting and translating Li Ch’ing-Chao. His translation focuses on gender identity and …
The Female Best-Friend Novel: Narration And The Reconsideration Of The Political Act, Neta Stahl
The Female Best-Friend Novel: Narration And The Reconsideration Of The Political Act, Neta Stahl
CLCWeb: Comparative Literature and Culture
In her article “The Female Best-Friend Novel: Narration and the Reconsideration of the Political Act,” Neta Stahl argues that twentieth- and twenty-first-century women novelists borrowed the eighteenth- and nineteenth-century best-friend narrative, reintroducing it for the purpose of challenging the very concept of the political act, namely, what modern, liberal society considers as a political action and what stands behind it. The article focuses on four novels written by novelists from four different countries: the American novelist Toni Morrison’s Sula (1973); the Israeli novelist Ronit Matalon’s Sarah, Sarah (2000); the Italian novelist Elena Ferrante’s L’amica geniale: Storia di chi fugge e …
Correlation Between Chemotherapy-Induced Nausea And Vomiting With Quality Of Life In Patients With Ovarian Cancer At Dr. Cipto Mangunkusumo Hospital, Veinardi Madjid, David Calvin, Gatot Purwoto, Tofan Widya Utami, Tricia Dewi Anggraeni, Dhanasari Vidiawati, Hariyono Winarto
Correlation Between Chemotherapy-Induced Nausea And Vomiting With Quality Of Life In Patients With Ovarian Cancer At Dr. Cipto Mangunkusumo Hospital, Veinardi Madjid, David Calvin, Gatot Purwoto, Tofan Widya Utami, Tricia Dewi Anggraeni, Dhanasari Vidiawati, Hariyono Winarto
Makara Journal of Health Research
Introduction: Nausea and vomiting (NV) remain as side effects of chemotherapy, which has a detrimental effect on patients’ quality of life (QOL) and treatment adherence. This study aimed to determine the effect of chemotherapy-induced NV (CINV) on the QOL of patients with ovarian cancer treated with chemotherapy at Dr. Cipto Mangunkusumo Hospital (CMH).
Methods: We conducted a cross-sectional study in patients with ovarian cancer receiving first-line chemotherapy regimens of carboplatin and paclitaxel. The European Organisation for Research and Treatment helped translate the Quality-of-Life Questionnaire-OV28 (QLQ-OV28) into Indonesian and tested it in a preliminary study. The approved Indonesian version …
Upacara Adat Rambu Solo’: Antara Gengsi Dan Urgensi, Ghana Aldila Septiani G, Mochammad Mansur, Salsabila Dwi Saputri
Upacara Adat Rambu Solo’: Antara Gengsi Dan Urgensi, Ghana Aldila Septiani G, Mochammad Mansur, Salsabila Dwi Saputri
Paradigma: Jurnal Kajian Budaya
Rambu Solo’ is one of the most expensive traditional funerals in the world. This has created a general impression that Rambu Solo’ must always be lavishly performed, although in reality it can be adjusted to the bereaved family’s financial circumstances. This research seeks to explain how Rambu Solo’ can be motivated by both urgency and prestige using Abraham Maslow’s humanistic psychology theory. This research applied the qualitative method. Data were collected by interviewing a traditional leader named Ambe Tawang with the aid of a local interpreter, Baharuddin Palepong, who lived in Lembang Palesan, Tana Toraja, South Sulawesi. After collection, the …
Pandangan Tentang Praktik Bedah Plastik Dalam Artikel Opini Di Surat Kabar Korea Tahun 2010–2019, Putu Pramania Adnyana, Abdul Muta'ali, Sonya Puspasari Suganda
Pandangan Tentang Praktik Bedah Plastik Dalam Artikel Opini Di Surat Kabar Korea Tahun 2010–2019, Putu Pramania Adnyana, Abdul Muta'ali, Sonya Puspasari Suganda
Paradigma: Jurnal Kajian Budaya
This research aims to reveal Korean’s perspectives on plastic surgery practices through a corpus-based text analysis of Korean online newspapers. The research used quantitative and qualitative methods to observe keywords, significant collocates, and semantic preference. The data used were 106 opinion articles about plastic surgery in Chosun Ilbo and Donga Ilbo (2010–2019). Keyword analysis shows that the most frequently used keywords are seonghyeong (189 times) and seonghyeongsusul (116 times). Analysis of significant collocates and semantic preferences revealed that plastic surgery was frequently discussed in relation to body parts, people (collocate yeoseong (women), junggukin (Chinese), hwanja (patient), gwangganggek (tourist)), country (collocate …
Toponimi Nama Pantai Di Belitung, Filia Filia
Toponimi Nama Pantai Di Belitung, Filia Filia
Paradigma: Jurnal Kajian Budaya
This research examines the toponymy of beaches in Belitung using the socio-onomastic approach. The names of beaches in Belitung Regency were studied using written and oral data. The written data was obtained from three maps, i.e., the map from the Geospatial Information Agency, the geological map of Belitung and the digital Google Maps. The oral data was obtained through interviews with resource persons and informants in Belitung. Based on map searches and interviews, seven beach names and the origin of their names have been obtained, as follows (i) Tanjung Tinggi Beach, (ii) Tanjung Pendam Beach, (iii), Penyabong Beach, (iv) Tanjung …
Horizontal Gene Transfer In Intergenomic Conflicts Between Bacteria And Their Genetic Parasites, Pavithra A.S
Horizontal Gene Transfer In Intergenomic Conflicts Between Bacteria And Their Genetic Parasites, Pavithra A.S
Theses and Dissertations
Bacteria are constantly infected by obligate acellular genetic parasites, such as plasmids and phages. The genetic conflicts between bacteria and their parasites, aggravated by horizontal gene transfer, exert significant ecological and evolutionary pressure on their respective genomes. The eco-evolutionary significance of parasite-derived elements on bacterial genomes is not well understood.
This study explored the genomics of plasmid-derived genetic elements such as antimicrobial resistance genes (ARGs), type II endonuclease toxin-antitoxin systems (TAs) and endonuclease colicin-like bacteriocin (CLB) operons, and phage-derived prophages of Escherichia coli using bioinformatics and developing novel hybrid agent-based models. We sequenced eight E. coli isolated from local wastewater …