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Synthesis And Characterization Of Doped Rare-Earth Zinc Alloys, Partha Das Jan 2025

Synthesis And Characterization Of Doped Rare-Earth Zinc Alloys, Partha Das

Graduate Theses/Dissertations

Rare-Earth-Zinc (RE-Zn) alloys doped with manganese represent a promising class of materials with diverse applications in magnetic, electronic, and thermoelectric devices. These alloys hold significant potential owing to the unique combination of rare-earth elements' properties with the versatility of zinc, augmented by manganese doping. In this study, I present the successful synthesis of ErMn0.2Zn11.8 alloys, achieved through self-flux method. The synthesized crystals were characterized using electron dispersive spectroscopy (EDS) and single crystal X-ray diffraction (XRD). Additionally, magnetic measurements were performed to investigate the magnetic properties. Future plans include DFT calculations and comparison study between Rare-Earth-Zinc alloys with …

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Livelihood Adaptive Strategies And Marginalization In Decision-Making: A Study Of Glacial Lake Outburst Flood (Glof) Vulnerable Communities In Northern Pakistan, Sobia Shah Jan 2025

Livelihood Adaptive Strategies And Marginalization In Decision-Making: A Study Of Glacial Lake Outburst Flood (Glof) Vulnerable Communities In Northern Pakistan, Sobia Shah

Graduate Theses/Dissertations

This study examines livelihood adaptation strategies and the dynamics of marginalization in decision-making within communities vulnerable to Glacial Lake Outburst Floods (GLOFs) in Gilgit-Baltistan, Northern Pakistan. Grounded in a vulnerability framework encompassing exposure, sensitivity, and adaptive capacity, it addresses two objectives: identifying household and community-level adaptation strategies to GLOF risks and analyzing structural drivers of marginalization in adaptation decision-making. A mixed-methods design was used, combining a systematic review of GLOF measures in the Hindu Kush Himalaya (HKH) region with a household survey of 150 respondents in Hassanabad and Hoper valleys. Generalized Additive Models (GAMs) assessed how socio-demographic, economic, institutional, and …

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Balancing Performance And Efficiency: An Autoencoder Approach To Api-Based Malware Detection, Selma Bouraoui Jan 2025

Balancing Performance And Efficiency: An Autoencoder Approach To Api-Based Malware Detection, Selma Bouraoui

Graduate Theses/Dissertations

The constant evolution of malware presents a critical challenge to today's interconnected world. It poses an increasing threat on different scales, spanning from individuals, organizations to critical infrastructures such as government’s security. Hackers continuously develop new techniques to evade detection methods. When confronted with the high volume and variety of malware, conventional approaches tend to struggle to perform in robust, accurate and timely manner. This thesis explores the application of deep learning methods to improve malware detection and classification techniques. By analyzing API call sequences, the proposed approach leverages Autoencoders to compress high-dimensional malware data into more optimized representations that …

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Netchoice, Regulatory Competition, And The Real Battle Behind Social Media Regulations, Tao Huang, Assistant Professor Of Law Jan 2025

Netchoice, Regulatory Competition, And The Real Battle Behind Social Media Regulations, Tao Huang, Assistant Professor Of Law

Vanderbilt Journal of Entertainment & Technology Law

Regulating online social media platforms has been a fiercely debated issue for years. The NetChoice case decided by the US Supreme Court 2023 Term arises from a circuit split regarding Florida and Texas laws that regulate social media content moderation. Most discussions on regulation of social media content moderation have focused on whether social media platforms are speakers (editors) or carriers (conduits), and whether their moderation practice constitutes editorial judgment (i.e., protected speech). This Article argues that this framing of the debate ignores another more important role of social media platforms—as regulators. Platforms, when they enact and enforce their content …

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Evaluation Of Practical Methods To Determine If A Karst Creek Is Gaining Or Losing: Case Study Of Leith Creek, Elizabeth Jones Jan 2025

Evaluation Of Practical Methods To Determine If A Karst Creek Is Gaining Or Losing: Case Study Of Leith Creek, Elizabeth Jones

Graduate Theses/Dissertations

Karst landscapes are abundant in Missouri, with features such as caves, springs, and sinkholes that form through the dissolution of limestone. Leith Creek is a small stream in Polk County, Missouri fed by two springs and the shallow unconfined Springfield Plateau aquifer, a highly karstified aquifer which is made up of limestone and minor interbedded shale-mudstone units. To determine if Leith Creek is gaining or losing, stream flow, water chemistry and temperature sensors were monitored. Stream flow results required multiple visits to take measurements while temperature sensors required two visits, one to install the dataloggers and another to remove the …

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Human Umbilical Cord Mesenchymal Stem Cells Secretome And Nanoemulsion Propolis Combination Ameliorate Osteoclastogenesis In Lipopolysaccharide-Induced Osteolysis In Hyperglycemia Rats, Alexander Patera Nugraha, Kunhua Yang, Adya Pramusita, Nurul Aisyah Rizki Putranti, Muhammad Luthfi, Nastiti Faradillah Ramadhani, Ratri Maya Sitalaksmi, Putri Cahaya Situmorang, Muh Artasasta, Ananto Ali Alhasyimi, Wibi Riawan, Albertus Putera Nugraha, Khairul Anuar Shariff, Kotaro Tanimoto, Guang Hong Jan 2025

Human Umbilical Cord Mesenchymal Stem Cells Secretome And Nanoemulsion Propolis Combination Ameliorate Osteoclastogenesis In Lipopolysaccharide-Induced Osteolysis In Hyperglycemia Rats, Alexander Patera Nugraha, Kunhua Yang, Adya Pramusita, Nurul Aisyah Rizki Putranti, Muhammad Luthfi, Nastiti Faradillah Ramadhani, Ratri Maya Sitalaksmi, Putri Cahaya Situmorang, Muh Artasasta, Ananto Ali Alhasyimi, Wibi Riawan, Albertus Putera Nugraha, Khairul Anuar Shariff, Kotaro Tanimoto, Guang Hong

Journal of Dental Sciences

Abstract Background/purpose Human umbilical cord mesenchymal stem cell secretome (HUCMSCS) and nanoemulsion propolis (NEP) from Tetragonula biroi may be beneficial regenerative medicine to reduce LPS-induced osteolysis with hyperglycemia. This study aimed to investigate the HUCMSCS and NEP effect on nuclear factor associated T-cell-1 (NFATc1), sclerostin, receptor activator kappa beta (RANK), its ligand (RANKL), the osteoprotegerin (OPG) expression, tartrate-resistant acid phosphatase (TRAPase), and cathepsin K (Ctsk) serum level in LPS-induced osteolysis in hyperglycemic Wistar rats ( Rattus novergicus ). Materials and methods Twenty-eight healthy male Wistar rats, 1–2 months old and 250–300 g body weight, were divided into seven groups, namely …

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Roles Of Basic Fibroblast Growth Factor, Stem Cells From Dental Pulp And Apical Papilla In The Repair And Regeneration Of Dental Pulp And Other Tissues/Organs, Jiiang-Huei Jeng, Pin-Hsuan Wu, Yan-Hsiung Wang, Ying-Chu Lin, Ya-Shuan Chou, Mei-Chi Chang Jan 2025

Roles Of Basic Fibroblast Growth Factor, Stem Cells From Dental Pulp And Apical Papilla In The Repair And Regeneration Of Dental Pulp And Other Tissues/Organs, Jiiang-Huei Jeng, Pin-Hsuan Wu, Yan-Hsiung Wang, Ying-Chu Lin, Ya-Shuan Chou, Mei-Chi Chang

Journal of Dental Sciences

Abstract Currently, the concept of regeneration and regenerative therapies are already being applied clinically to treat pulpal and periodontal diseases, as well as to repair and regenerate systemic organs and tissues. During wound healing, well-developed, functional vascular networks and revascularization are fundamental factors in restoring regenerative potential. Growth factors, stem cells, and scaffolds alone or in combination are reported to contribute to successful tissue repair and engineering via cell transplantation, cell homing or other technologies. Among the growth factors, basic fibroblast growth factor (bFGF) has been found to regulate the proliferation, stemness, migration, and differentiation of vascular and mineralized tissues …

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Benchmarking Multimodal Large Language Models On The Dental Licensing Examination: Challenges With Clinical Image Interpretation, Yuichi Mine, Shota Okazaki, Tsuyoshi Taji, Hiroyuki Kawaguchi, Naoya Kakimoto, Takeshi Murayama Jan 2025

Benchmarking Multimodal Large Language Models On The Dental Licensing Examination: Challenges With Clinical Image Interpretation, Yuichi Mine, Shota Okazaki, Tsuyoshi Taji, Hiroyuki Kawaguchi, Naoya Kakimoto, Takeshi Murayama

Journal of Dental Sciences

Abstract Background /purpose: Large language models (LLMs) have been studied in text-based healthcare tasks, but their performance in multimodal dental applications has not yet been fully explored. This study evaluated the performance of four multimodal LLMs on dental licensing examination questions with both text-only and visually-based components. Materials and methods Four multimodal LLMs, ChatGPT-4o (4o), OpenAI o1 (o1), Claude 3.5 Sonnet (Sonnet), and Gemini 2.0 Flash Thinking Experimental (Gemini), were tested on 353 questions from the 2024 Japanese National Dental Examination, including 204 text-only and 149 visually-based questions spanning 17 dental specialties. A zero-shot approach was used without prompt engineering. …

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The Stochastic Occupation Kernel (Sock) Method For Learning Stochastic Differential Equations, M. L. Wells, Kamel Lahouel, Bruno Jedynak Jan 2025

The Stochastic Occupation Kernel (Sock) Method For Learning Stochastic Differential Equations, M. L. Wells, Kamel Lahouel, Bruno Jedynak

Mathematics and Statistics Faculty Publications and Presentations

We present a novel kernel-based method for learning multivariate stochastic differential equations (SDEs). The method follows a two-step procedure: we first estimate the drift term function, then the (matrix-valued) diffusion function given the drift. Occupation kernels are integral functionals on a reproducing kernel Hilbert space (RKHS) that aggregate information over a trajectory. Our approach leverages vector-valued occupation kernels for estimating the drift component of the stochastic process. For diffusion estimation, we extend this framework by introducing operator-valued occupation kernels, enabling the estimation of an auxiliary matrix-valued function as a positive semi-definite operator, from which we readily derive the diffusion estimate. …

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Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors Jan 2025

Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On the other hand, unpaired harmonization typically does not guarantee anatomy consistency, which is problematic because anatomical information preservation is paramount. The Schrödinger bridge framework has achieved state-of-the-art style transfer performance with natural images by matching distributions of unpaired images, but this approach can also introduce anatomy changes when applied to medical images. We show that such changes occur because the …

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Personalized Persuasion In The Digital Age: A Data-Driven Approach To Effective Communication, Annye Braca Jan 2025

Personalized Persuasion In The Digital Age: A Data-Driven Approach To Effective Communication, Annye Braca

Doctoral

This thesis investigates the potential of Machine Learning (ML) to personalize persuasive marketing messages. It explores the identification of individuals receptive to specific persuasion techniques based on their psychometric profiles. By developing ML models that incorporate these profiles, the thesis aims to predict the impact of tailored messages and improve the effectiveness of marketing communication.

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Development Of Holographic Optical Elements For Application In Wound Healing Monitoring, Pamela Stoeva Jan 2025

Development Of Holographic Optical Elements For Application In Wound Healing Monitoring, Pamela Stoeva

Doctoral

Growing global healthcare challenges, including the increasing prevalence of chronic wounds, necessitate the development of cost-effective, reusable, and readily accessible sensors for real-time wound monitoring. Such devices could extend basic healthcare to remote areas and support long-term space missions by facilitating on-the-spot wound assessment. Sensors that utilise Holographic Optical Elements (HOEs) are promising candidates due to their diverse sensing capabilities, advantageous physical properties (e.g., lightweight and flexibility), and suitability for mass manufacturing. The fundamental biochemical processes associated with wound healing are typically related to parameters such as oxygen levels, pH, temperature, and lactate concentration. Realtime quantification of these parameters enables …

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Highly Sensitive Diffractive Optical Structures For Detection Of Volatile Organic Compounds, Faolan Radford Mcgovern Jan 2025

Highly Sensitive Diffractive Optical Structures For Detection Of Volatile Organic Compounds, Faolan Radford Mcgovern

Doctoral

From aerospace to agriculture, sensors play a fundamental role in many aspects of modern life. Sensors form an integral part of the complex systems and devices required for the continued functioning and development of services and industries across society. The use of sensors is paramount in areas affecting human health, one such area being the monitoring of indoor air quality, in particular the detection of volatile organic compounds (VOCs). Human contact with VOCs has been associated with many health complications, including skin and eye irritation, cardiovascular damage, and cancers. Optical, electrical, gravimetric, and chemical sensors have been developed for VOC …

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Plasmonic Down-Shifting Layers For Cylindrical Solar Concentrators, Kenneth Coldrick Jan 2025

Plasmonic Down-Shifting Layers For Cylindrical Solar Concentrators, Kenneth Coldrick

Doctoral

The efficiency of photovoltaics (PVs) and photo-thermal (PT) systems is hindered by spectral mismatches and low thermal conductivity. A promising solution to address these issues can be the use of luminescent down-shifting (LDS) layers. This involves the incorporation of luminophores into solid or liquid layers that will act as spectral beam splitters (SBSs). In solid polymers, they form luminescent solar concentrators (LSCs), while in liquids, they act as working fluids and SBS for hybrid photovoltaic-photothermal (PVT) systems. This thesis will examine the energy conversion in both solid and liquid configurations through experimental, simulation, and economic analyses. An open-source model that …

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Celebrating 25 Years Of Collaboration: A Bibliography Of Afit-Afrl’S Top 50 Most-Cited Works, Wheeler Hall, Michelle Burwinkel Jan 2025

Celebrating 25 Years Of Collaboration: A Bibliography Of Afit-Afrl’S Top 50 Most-Cited Works, Wheeler Hall, Michelle Burwinkel

AFIT Library Knowledge Base

This bibliography compiles the 50 most-cited collaborative publications between the Air Force Institute of Technology (AFIT) and the Air Force Research Laboratory (AFRL) from 2000 to early 2025, showcasing their interdisciplinary impact across advanced science and engineering. Spanning materials science, remote sensing, terahertz spectroscopy, nanomaterials, aerospace, fatigue mechanics, biomedical applications, communication systems, optics, machine learning, and hypersonic engineering, the works highlight innovative methodologies and transformative applications. This collection underscores AFIT-AFRL’s contributions to cutting-edge research, offering valuable insights for researchers, engineers, and stakeholders in defense and technology development.

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How To Teach A Course On Land Use And Anti-Jewish Discrimination, Michael Lewyn Jan 2025

How To Teach A Course On Land Use And Anti-Jewish Discrimination, Michael Lewyn

Scholarly Works

In 2022, I was asked to teach a one-week mini-course within a broader course on "Structural Barriers and the Pursuit of Equity," a course focusing on various forms of structural discrimination. The course is typically taught by over a dozen professors from various parts of Touro University, each of whom teaches for a week on a different topic. I chose to teach on issues related to land use law (because my scholarship focuses on that area) and in particular how land use law has been used by and against traditionally observant Jews (because that is the religious tradition I am …

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Climate Nationalism, Gabriel Weil Jan 2025

Climate Nationalism, Gabriel Weil

Scholarly Works

Climate change is a global commons problem. The costs of emissions in any given country are mostly borne by foreigners. Absent strong measures to overcome this dynamic, pursuit of national self-interest will lead people and countries to underinvest in decarbonization, relative to what's best for the world as a whole. And we do see such underinvestment. Many countries are not on track to meet their Paris Agreement pledges, and those pledges, even if met, are not ambitious enough to meet the headline temperature stabilization goals of the agreement. This is the fairly banal pursuit of national interest in the climate …

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The “Arm” That Saves You Might Also Strangle You: The Impact Of Sovereign Immunity On Economic Arms Of Tribes And How It Could Affect Others’ Willingness To Contract With Them, Josh Pumphrey Jan 2025

The “Arm” That Saves You Might Also Strangle You: The Impact Of Sovereign Immunity On Economic Arms Of Tribes And How It Could Affect Others’ Willingness To Contract With Them, Josh Pumphrey

American Indian Law Review

No abstract provided.

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A Patent System For Temple Grandin, Andrew Chin Jan 2025

A Patent System For Temple Grandin, Andrew Chin

Faculty Publications

This article explores the intersection of neurodiversity and innovation through the lens of Temple Grandin’s contributions to livestock handling systems and her philosophical alignment with the U.S. patent system. Drawing on cognitive research by Simon Baron-Cohen, archaeological insights from Penny Spikins, and personal reflections, I argue that autistic cognitive styles—characterized by heightened “folk physics” aptitudes and visual thinking—have historically driven technological progress. Grandin’s patented inventions, motivated by sensory-based empathy for animals, exemplify how neurodivergent inventors seek to embed their conceptions of ethical utility into the nation’s technological infrastructure. The article critiques modern patent litigation trends, advocating instead for a system …

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Civic Duties And Cultural Change, Daniel B. Rice Jan 2025

Civic Duties And Cultural Change, Daniel B. Rice

Faculty Publications

What duties do Americans owe the state? Today, this question seems almost incomprehensible. Compulsions in the common interest are received coolly in our rights-obsessed culture, and the Supreme Court has never announced a framework for identifying the burdens of citizenship. Yet the concept of civic duty has played a central role in America’s constitutional tradition. From shoveling snow to repairing roads to fighting overseas, private individuals have long been forced to serve the public in ways menial and profound. Strangely, the discourse of obligation that legitimated numerous compulsions has faded from professional view. Judges’ mawkish tributes to liberty pay no …

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Developing Lawyering Skills In The Age Of Artificial Intelligence: A Framework For Legal Education, Julie Kimbrough Jan 2025

Developing Lawyering Skills In The Age Of Artificial Intelligence: A Framework For Legal Education, Julie Kimbrough

Faculty Publications

This Article explores the emergence of generative artificial intelligence technology in legal education and law practice. It first offers historical perspective by examining the development of online legal research systems and other existing law practice technology tools that leverage artificial intelligence. This Article then proposes a framework for legal education based on twenty-first-century competencies that advance human interaction with legal technology tools. Next, this Article recommends that law schools incorporate these competencies into learning outcomes along with a holistic approach to teaching technology-driven lawyering skills as a strategy to narrow the learning gap between legal education and law practice. It …

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Notice, Consent, And Choice-Of-Jurisdiction Clauses In The United States, John F. Coyle Jan 2025

Notice, Consent, And Choice-Of-Jurisdiction Clauses In The United States, John F. Coyle

Faculty Publications

Although choice-of-jurisdiction clauses are routinely enforced by courts in the United States, there are circumstances where they are subject to special scrutiny. One of these circumstances is when the party resisting the clause was not provided with proper notice as to the existence of the clause or the identity of the chosen jurisdiction. This Article first reviews the existing case law in this area and shows that while some U.S. courts have refused to enforce clauses for lack of notice, others do so as a matter of course. It then discusses several decisions where U.S. courts have held that notice …

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Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda Jan 2025

Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda

Knowledge Engineering and Data Science

This study aims to address the communication hallenges faced by the Indonesian deaf community by developing an automatic classification model for Sistem Bahasa Isyarat Indonesia (SIBI) using data mining techniques. The main objective is to identify a practical algorithm for recognizing SIBI hand gestures to enhance accessibility and inclusiveness in digital communication. A comprehensive dataset consisting of 32,850 gesture samples representing SIBI alphabet signs was collected and processed through feature extraction, data cleaning, and normalization using Z-Transform and Min-Max methods. Two classification algorithms, K-Nearest Neighbor (KNN) and Random Forest, were implemented and evaluated using metrics such as accuracy, precision, recall, …

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A Comparative Study Of Machine Learning Models For Javanese Wuku Classification: Exploring Svm, Naïve Bayes, And Cnn For Cultural Texts, Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almu'iini Ahda, Agung Bella Putra Utama Jan 2025

A Comparative Study Of Machine Learning Models For Javanese Wuku Classification: Exploring Svm, Naïve Bayes, And Cnn For Cultural Texts, Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almu'iini Ahda, Agung Bella Putra Utama

Knowledge Engineering and Data Science

This study rigorously evaluates machine learning models for classifying culturally significant Javanese Wuku texts from the “Keagamaan atau Spiritual” category, a domain challenged by unique linguistic nuances and limited digitized resources. We compared Support Vector Machine (SVM), Naïve Bayes, and Convolutional Neural Network (CNN) on texts from five pivotal Wuku types (Sinta, Galungan, Kuningan, Sungsang, Warigalit) sourced from sastra.org, aiming to identify the most effective computational approach. The dataset comprises N = 1419 documents (T = 751.290 tokens), with per-class document counts reported for all five Wuku types. Our evaluation uses accuracy, precision, recall, F1-score, and …

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Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang Jan 2025

Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang

Journal of Scientific Information Research

[Purpose/significance]This paper explores the guiding role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the development of the Information Resource Management discipline with Chinese characteristics, providing significant insights for the innovative advancement of China's Information Resource Management discipline and strengthening the discourse power of Chinese social sciences. [Method/process]This paper systematically reviews the core elements of the development philosophy of the Information Resource Management discipline within Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era from a holistic perspective,elucidates the logical system of the development of the discipline from the diverse perspectives …

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Identifying Research Paths Based On Main Path Analysis: A Case Study Of Knowledge Graphs, Ruibin Wei, Yidan Wang, Yan Xu Jan 2025

Identifying Research Paths Based On Main Path Analysis: A Case Study Of Knowledge Graphs, Ruibin Wei, Yidan Wang, Yan Xu

Journal of Scientific Information Research

[Purpose/significance]The main path analysis of citation networks can be used to identify important literature in specific fields and can achieve the extraction of mainstream research threads. This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research development. [Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform, then uses the HistCite software to generate a direct citation network of the literature, and then imports the data into Pajek to generate multiple main paths of the dataset, and …

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The Evolution Of Research Methods In The Digital Humanities Perspective: A Quantitative Analysis Based On Cnki Data And A Large Language Model, Guangyao Sun, Dongbo Wang Jan 2025

The Evolution Of Research Methods In The Digital Humanities Perspective: A Quantitative Analysis Based On Cnki Data And A Large Language Model, Guangyao Sun, Dongbo Wang

Journal of Scientific Information Research

[Purpose/significance]This paper aims to explore the evolution trend of research methods in the field of digital humanities with the help of large language model technology. [Method/process]This paper mainly focuses on the data of CNKI journal articles, selects the general Chinese large language model GLM-4, uses prompt engineering and chain of thought to extract and cluster the abstract data, of papers and analyzes its evolution trend through quantitative processing. [Result/conclusion]The study shows that GLM-4 can well identify and extract research methods from complex abstract data. Analyzing the evolution trend in chronological order, it is found that research methods such as "interview …

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Research On Emerging Technology Topic Identification Based On Bertopic, Dakun Wang, Bolin Hua Jan 2025

Research On Emerging Technology Topic Identification Based On Bertopic, Dakun Wang, Bolin Hua

Journal of Scientific Information Research

[Purpose/significance]Identifying and foreseeing emerging technologies, bring technological first-mover advantages to enterprises and governments, and grasp technological development trends in a timely manner. [Method/process]This study uses BERTopic's topic modeling method to obtain domain topic distribution, and merges paper and patent topics based on the cosine similarity of topic vectors to identify emerging topics. [Result/conclusion]Using the BERTopic topic modeling method combined with index evaluation can effectively identify emerging topics and emerging terms.Taking the field of new energy vehicles as an example to carry out empirical research, using two methods: divided verification period and data verification method, 12 of the 16 identified topics …

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The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim Jan 2025

The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim

Masyarakat: Jurnal Sosiologi

This article examines how dating applications operate as libidinal infrastructures that restructure and commodify intimacy within platform capitalism, using The Tinder Swindler as a cultural case study. Employing a visual-narrative approach within the framework of Critical Discourse Analysis, the film is analyzed to reveal the structural exploitation of user affect and desire. Grounded in Lacanian psychoanalysis and Baudrillard’s simulation theory, the study argues that these platforms capitalize on the subject’s ontological lack (manque) which fuels desire as the desire for the Other’s desire. This psychic lack sustains a perpetual pursuit of recognition that can never be fulfilled. The swindler’s hyper-curated …

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Butyrate Attenuates High-Fat Diet Induced Glomerulopathy Through Gpr43-Sirt3 Pathway, Ying Shi, Lin Xing, Ruoyi Zheng, Xin Luo, Fangzhi Yue, Xingwei Xiang, Anqi Qiu, Junyan Xie, Ryan D. Russell, Dongmei Zhang Jan 2025

Butyrate Attenuates High-Fat Diet Induced Glomerulopathy Through Gpr43-Sirt3 Pathway, Ying Shi, Lin Xing, Ruoyi Zheng, Xin Luo, Fangzhi Yue, Xingwei Xiang, Anqi Qiu, Junyan Xie, Ryan D. Russell, Dongmei Zhang

Health & Human Performance Faculty Publications

The incidence of obesity related glomerulopathy (ORG) is rising worldwide with very limited treatment methods. Paralleled with the gut-kidney axis theory, beneficial effects of butyrate, one of short-chain fatty acids produced by gut microbiota, on metabolism and certain kidney diseases have gained growing attention. However, the effects of butyrate on ORG and its underlying mechanism are largely unexplored. In this study, a mice model of ORG was established with high-fat diet (HFD) feeding for 16 weeks, and sodium butyrate treatment was initiated at the 8th week. Podocytes injury, oxidative stress, and mitochondria function were evaluated in mice kidney and validated …

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