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Full-Text Articles in Physical Sciences and Mathematics

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar Dec 2024

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s Disease (AD) is the leading cause of dementia, characterised by cognitive and functional impairments that disrupt daily activities. Different clinical modalities such as neuroimaging biomarkers, cognitive assessments, fluid biomarkers and genetic data provide unique and complementary information, contributing to a more comprehensive understanding of disease progression and heterogeneity in disease characteristics. With recent advancements in computational capabilities, particularly in deep learning, multimodal representation learning frameworks aim to integrate diverse clinical modalities into a cohesive framework, capturing the most significant patterns within each modality. Existing data-driven multimodal representation learning frameworks in AD research have two major limitations. First, AD progresses …

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Reimagining The Machine Vision Pipeline In Cyber Physical Systems For Trustworthiness And Efficiency, Adith Boloor Dec 2024

Reimagining The Machine Vision Pipeline In Cyber Physical Systems For Trustworthiness And Efficiency, Adith Boloor

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cyber-physical systems (CPS), including autonomous vehicles, drones, and mobile robots, rely on intricate sensors, actuators, and machine learning algorithms to perceive the physical world and execute actions within their surroundings. In the context of vision-driven CPS, achieving this demands processing a substantial volume of visual data captured by on-board cameras. The data is subsequently channeled through digital processors and harnessed by deep neural networks for tasks such as image classification, object detection, and depth perception. This data-centric, machine-vision-infused CPS fosters intelligent decision-making, thereby enhancing overall system performance. Trustworthiness, encompassing the robustness of the entire machine-vision pipeline, and system-level efficiency are …

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Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar Dec 2024

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s Disease (AD) is the leading cause of dementia, characterised by cognitive and functional impairments that disrupt daily activities. Different clinical modalities such as neuroimaging biomarkers, cognitive assessments, fluid biomarkers and genetic data provide unique and complementary information, contributing to a more comprehensive understanding of disease progression and heterogeneity in disease characteristics. With recent advancements in computational capabilities, particularly in deep learning, multimodal representation learning frameworks aim to integrate diverse clinical modalities into a cohesive framework, capturing the most significant patterns within each modality. Existing data-driven multimodal representation learning frameworks in AD research have two major limitations. First, AD progresses …

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Reimagining The Machine Vision Pipeline In Cyber Physical Systems For Trustworthiness And Efficiency, Adith Boloor Dec 2024

Reimagining The Machine Vision Pipeline In Cyber Physical Systems For Trustworthiness And Efficiency, Adith Boloor

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cyber-physical systems (CPS), including autonomous vehicles, drones, and mobile robots, rely on intricate sensors, actuators, and machine learning algorithms to perceive the physical world and execute actions within their surroundings. In the context of vision-driven CPS, achieving this demands processing a substantial volume of visual data captured by on-board cameras. The data is subsequently channeled through digital processors and harnessed by deep neural networks for tasks such as image classification, object detection, and depth perception. This data-centric, machine-vision-infused CPS fosters intelligent decision-making, thereby enhancing overall system performance. Trustworthiness, encompassing the robustness of the entire machine-vision pipeline, and system-level efficiency are …

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Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites And Insufficiently Reclaimed Areas – Racetrack Borrow Material Usage (Dated December 19, 2024), Molly Roby Dec 2024

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites And Insufficiently Reclaimed Areas – Racetrack Borrow Material Usage (Dated December 19, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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November 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister Dec 2024

November 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Molten Flux Synthesis Of Plutonium (Iv) Silicates K2Pusi2O7 And Rb2Pusi6O15, Travis K. Deason, Gregory Morrison, Amir Mofrad, Jake Amoroso, David Diprete, Theodore M. Besmann, Shanna L. Estes, Hans Conrad Zur Loye Dec 2024

Molten Flux Synthesis Of Plutonium (Iv) Silicates K2Pusi2O7 And Rb2Pusi6O15, Travis K. Deason, Gregory Morrison, Amir Mofrad, Jake Amoroso, David Diprete, Theodore M. Besmann, Shanna L. Estes, Hans Conrad Zur Loye

Faculty Publications

Few plutonium containing silicates have been reported in the literature and only one other tetravalent plutonium silicate structure has been reported using the flux growth method. With the goal of understanding actinide incorporation into silicates, we describe herein two new plutonium (IV) silicates, Rb2PuSi6O15 and K2PuSi2O7, synthesized using a mixed alkali chloride/alkali fluoride flux growth. Both structures crystallize in the C2/c space group with lattice parameters a=24.2980(10) Å, b=7.1466(3) Å, c=17.2025(8) Å and 96.6560(10)° for Rb2PuSi6O15, and a=9.9478(2) Å, b=5.59820 (10) Å, c=13.1848(2) Å, and 105.7400(10)° for K2PuSi2O7. Comparisons to the synthesis of other reported alkali actinide silicates (Ce, U, …

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Action Logic And Agenda Game Of Global Methane Emission Control And China’S Countermeasures, Bo Zhang, Jinling Guo, Bing Zhong, Junlian Gao, Guosheng Zhang, He Liu Dec 2024

Action Logic And Agenda Game Of Global Methane Emission Control And China’S Countermeasures, Bo Zhang, Jinling Guo, Bing Zhong, Junlian Gao, Guosheng Zhang, He Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Originated from the global response to climate change, methane emission control has evolved into a focus of international climate negotiations in recent years. At present, the agenda for controlling methane emission in global climate governance is basically taking shape, but in the process of shifting from scientific consensus to political consensus, the content of the topic and the focus of the game continue to evolve. To carry out global action, it is necessary to address issues such as the allocation of responsibilities, international rules, climate investment and financing, and risk prevention, as well as the basic capacity guarantees behind them. …

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Architecture And Key Technologies Of New Research Informatization Infrastructure Platform Under The Fifth Research Paradigm, Fangyu Liao, Yang Wang, Rongqiang Cao, Bo Zhang, Zhenyu Li, Huajin Wang, Xin Chen, Dong Li, Yangang Wang, Xin Wei Dec 2024

Architecture And Key Technologies Of New Research Informatization Infrastructure Platform Under The Fifth Research Paradigm, Fangyu Liao, Yang Wang, Rongqiang Cao, Bo Zhang, Zhenyu Li, Huajin Wang, Xin Chen, Dong Li, Yangang Wang, Xin Wei

Bulletin of Chinese Academy of Sciences (Chinese Version)

The basic platform of research informatization is an indispensable pedestal for modern scientific research and an important manifestation of national scientific and technological innovation capability. As the research paradigm continues to evolve, the architecture and technologies of research informatization infrastructure platform are bound to evolve as well. The new research paradigm brings unique demands and challenges to the algorithmic computility, network transmission capacity, and data storage and management. Consequently, it is an urgent requirement for research informatization infrastructure platform to make technological breakthroughs in the areas of intelligent computility, large-scale data storage and high throughput read/write, cross-network software and hardware …

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Overall Promotion Of Integrated Management And Utilization Of Saline-Alkali Land In Northwest China: Conditions, Challenges, And Recommendations, Qi Feng, Xinwei Yin, Meng Zhu, Jutao Zhang, Wei Liu, Haiyang Xi, Tengfei Yu, Linshan Yang, Wen Liu, Zhixiang Lu Dec 2024

Overall Promotion Of Integrated Management And Utilization Of Saline-Alkali Land In Northwest China: Conditions, Challenges, And Recommendations, Qi Feng, Xinwei Yin, Meng Zhu, Jutao Zhang, Wei Liu, Haiyang Xi, Tengfei Yu, Linshan Yang, Wen Liu, Zhixiang Lu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cultivated land is the lifeblood of grain production and the foundation for food security. Saline-alkali land in Northwest China is an important cultivated land reserve resource and a potential granary for guaranteeing national food security, so the high-quality promotion of comprehensive management and utilization of saline-alkali land in Northwest China is a strategic measure to achieve the goal of “storing grain in land and technology”. Based on a profound understanding of the great significance for promoting the integrated management and utilization of saline-alkali land in Northwest China, this study systematically summarizes the quantity, distribution pattern, and utilization potential of saline-alkali …

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China’S Rare Earths Trade Flow Analysis: Trade Patterns And Strategic Insights, Linbin Tang, Peng Wang, Wei Chen, Yawen Han, Yuning Jin, Zilong Peng, Weiqiang Chen Dec 2024

China’S Rare Earths Trade Flow Analysis: Trade Patterns And Strategic Insights, Linbin Tang, Peng Wang, Wei Chen, Yawen Han, Yuning Jin, Zilong Peng, Weiqiang Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Rare earth elements are strategic critical metals that support low-carbon energy, aerospace, and defense technologies. Currently, China’s rare earth industry lacks competitiveness and faces the risk of “multidimensional pressures” in global competition. Therefore, it is crucial to systematically analyze the supply-demand and trade patterns of rare earths, accurately identify the bottlenecks and pain points in China’s entire rare earth industry chain, and provide strategies to transform China’s rare earth resource advantage into a strategic competitive edge. Based on customs trade data, this study traces the trade flows of various forms of rare earth products across the full industry chain in …

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How Should China Respond To “Pan-Data Sovereignty” Competition Among China, U.S., And Eu—An Analysis Based On The Digital Stack Model?, Yan Liu, Congjing Ran Dec 2024

How Should China Respond To “Pan-Data Sovereignty” Competition Among China, U.S., And Eu—An Analysis Based On The Digital Stack Model?, Yan Liu, Congjing Ran

Bulletin of Chinese Academy of Sciences (Chinese Version)

Data sovereignty has become deeply intertwined with various economic and social development factors such as technology, trade, economy, culture, society, and politics, leading to a “Pan-Data Sovereignty” competition pattern in the digital space. Through the digital stack model, which examines digital technologies in a layered framework, we can more clearly assess the competitive capacities in“Pan-Data Sovereignty” of China, United States, and European Union. The analysis identifies a three-tiered global “Pan-Data Sovereignty” competition structure among China, U.S., and EU, with each entity holding distinct advantages across various layers of the digital stack. Intense future competition is anticipated in fields such as …

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Research And Reflection On Transformation Of Resource-Based Cities In China—A Case Study Of Datong City, Shanxi Province, Zhijian Xiong, Hong Zhao, Xiuli Liu Dec 2024

Research And Reflection On Transformation Of Resource-Based Cities In China—A Case Study Of Datong City, Shanxi Province, Zhijian Xiong, Hong Zhao, Xiuli Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Currently, there are 262 resource-based cities in China, of which mature and declining cities account for 79.39%. These cities have made significant contributions to the country’s economic and social development, but now they are facing severe challenges and difficulties, and their transformation problems urgently need to be solved. This work studies the mechanism of resource-based transformation and proposes strategies for the transformation of resource-based cities: (1) Transformation should be comprehensive, balanced, and sustainable; (2) Transformation should fully leverage the leading role of the market while also taking into account the fundamental role of the government; (3) Transformation should fully leverage …

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A Comprehensive Usability And Economic Analysis Of Heat-Related Wearable Technologies: Applications To Occupational Health, Ryan T. Cannady Dec 2024

A Comprehensive Usability And Economic Analysis Of Heat-Related Wearable Technologies: Applications To Occupational Health, Ryan T. Cannady

Theses & Dissertations

The purpose of this research was to analyze the usability and economic considerations of real-time wearable technologies that are implemented in occupational settings to assess risk of heat stress and heat strain. The study population included current agriculture workers and Department of Energy (DOE), Environmental Management (EM) contractors. We employed a mixed-methods approach to comprehensively analyze the usability and economic considerations of heat-related technologies. Specifically, our approach assessed three distinct aspects the applications of these technologies in occupational settings to comprehensively address our research objective: (1) worker perceptions of heat-related wearable technologies, (2) field-based assessment of these heat-related wearable technologies, …

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A Confidence-Based Knowledge Integration Framework For Cross-Domain Table Question Answering, Yuankai Fan, Tonghui Ren, Can Huang, Beini Zheng, Yinan Jing, Zhenying He, Jinbao Li, Jianxin Li Dec 2024

A Confidence-Based Knowledge Integration Framework For Cross-Domain Table Question Answering, Yuankai Fan, Tonghui Ren, Can Huang, Beini Zheng, Yinan Jing, Zhenying He, Jinbao Li, Jianxin Li

Research outputs 2022 to 2026

Recent advancements in TableQA leverage sequence-to-sequence (Seq2seq) deep learning models to accurately respond to natural language queries. These models achieve this by converting the queries into SQL queries, using information drawn from one or more tables. However, Seq2seq models often produce uncertain (low-confidence) predictions when distributing probability mass across multiple outputs during a decoding step, frequently yielding translation errors. To tackle this problem, we present CKIF, a confidence-based knowledge integration framework that uses a two-stage deep-learning-based ranking technique to mitigate the low-confidence problem commonly associated with Seq2seq models for TableQA. The core idea of CKIF is to introduce a flexible …

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Gmr-4234 Evaluating Instance Segmentation Models On Histopathology Datasets, Sai Chandana Koganti Dec 2024

Gmr-4234 Evaluating Instance Segmentation Models On Histopathology Datasets, Sai Chandana Koganti

C-Day Computing Showcase

Instance segmentation is transforming digital pathology by enhancing the speed and accuracy of tissue sample analysis through advanced image processing techniques. Whole Slide Imaging (WSI) converts traditional microscope slides into high-resolution digital formats, enabling detailed examinations. This paper presents a brief experimental survey of instance segmentation models on two prominent histopathology datasets: PanNuke and NuCLS. Unlike previous surveys that merely describe deep learning models for general pathology images, we conduct experiments using state-of-the-art models including Mask R-CNN, Detectron2, YOLOv8, YOLOv9, and HoverNet on both datasets. Our study evaluates these models for both binary and multiclass instance segmentation tasks. The NuCLS …

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Gpr-187 Deep Learning Models For Protein-Protein Binding Affinity Prediction, Lingtao Chen Dec 2024

Gpr-187 Deep Learning Models For Protein-Protein Binding Affinity Prediction, Lingtao Chen

C-Day Computing Showcase

Binding affinity (BA) prediction is important for drug discovery and protein engineering. It seeks to understand the interaction strength between proteins and their ligands (or proteins). This information assists in the design of proteins with enhanced or novel functions, as well as understanding the molecular mechanisms of drug action. This paper presents the development and comparative analysis of two deep learning models, a convolutional neural network (CNN) and a transformer model. Many variants of models in this research were developed using TensorFlow. One model that utilizes ProteinBERT was developed using PyTorch. The CNN model captures local sequence features effectively, while …

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Gmr-196 Integrated Sentiment And Behavioral Analysis Of Online Product Reviews, Kiran Yepuri, Naveen Mahankali Dec 2024

Gmr-196 Integrated Sentiment And Behavioral Analysis Of Online Product Reviews, Kiran Yepuri, Naveen Mahankali

C-Day Computing Showcase

The "Integrated Sentiment and Behavioral Analysis of Online Product Reviews" project helps businesses gain actionable insights from Product reviews by combining sentiment and behavioral analysis using NLP models like VADER and BERT. This dual approach categorizes reviews as positive, neutral, or negative and identifies themes such as preferences and complaints through Named Entity Recognition and topic modeling. By capturing both the emotional tone and specific product feedback, this method highlights consumer likes and pain points, assisting in targeted improvements for product design and customer service. The project addresses challenges in analyzing complex expressions like sarcasm, providing a robust framework for …

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Gpr-185 A Multimodal Approach To Quiz Generation: Leveraging Rag Models For Educational Assessments, Mourya Teja Kunuku Dec 2024

Gpr-185 A Multimodal Approach To Quiz Generation: Leveraging Rag Models For Educational Assessments, Mourya Teja Kunuku

C-Day Computing Showcase

Crafting quiz questions that effectively assess students’ understanding of lectures and course materials, such as textbooks, poses significant challenges. Recent AI-based quiz generation efforts have predominantly concentrated on static resources, like textbooks and slides, often overlooking the dynamic and interactive elements of live lectures—contextual cues, discussions, and interactions—that contribute to the learning experience. In this work, we propose a Retrieval-Augmented Generation (RAG) model that processes multimodal inputs by combining text, audio, and video to produce quizzes that capture a fuller context. Our method incorporates Whisper for audio transcription and utilizes a Large Vision-Language Model (LVLM) to extract essential visual data …

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Uc-184 Onaccount A Web-Based Accounting Software, Manuel A Jackson, Russell E Steele, Grzegorz Loj, Zachary B Powell Dec 2024

Uc-184 Onaccount A Web-Based Accounting Software, Manuel A Jackson, Russell E Steele, Grzegorz Loj, Zachary B Powell

C-Day Computing Showcase

This project streamline and improve the efficiency of the whole accounting process, by using current best practices for user interaction engineering and current design practices. Our software should be able to provide secure, user-friendly, and accessible financial management solutions anywhere and everywhere through various devices including desktop and mobile. Allowing users to manage their accounts whenever it seems necessary while still maintaining a high level of security. The project is inspired by the various complexity and problems regarding the accounting process in the real world such as financial reporting, miscalculations, and data security; by streamlining this process and making it …

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Tubarr: A Self-Hosted Video Archiver, Joshua Sheputa Dec 2024

Tubarr: A Self-Hosted Video Archiver, Joshua Sheputa

Honors Program Theses and Projects

Over the past few years, I’ve been slowly expanding my homelab, a personal setup for me to experiment with software, hardware, and deployment configurations. One driving force behind this is my desire to digitize and save anything that is important to me or that I want easy access to. I started with my family’s old CD collection, then moved on to any Blu-rays movie discs we had. Eventually, I started thinking about what else I care about and don’t want to lose track of. This brought me to the thought that any YouTube video that I may want to revisit …

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Two Decades Of Climate Measurements Reveal El Niño's Role In Andean Elevation-Dependent Warming, Luke Davies Dec 2024

Two Decades Of Climate Measurements Reveal El Niño's Role In Andean Elevation-Dependent Warming, Luke Davies

Honors Program Theses and Projects

Driven by climate change, elevation-dependent warming (EDW) has become a critical issue in the Cordillera Blanca of Peru. This study focuses on gathering evidence of EDW and determining the relationship between El Niño Southern Oscillation (ENSO) events and micrometeorological forcing in two proglacial valleys. A climate monitoring network was maintained through a 20-year collaboration between Bridgewater State University (BSU), Universidad Nacional Santiago Antúnez de Mayolo (UNASAM), and the Autoridad Nacional de Agua (ANA). Fieldwork in June 2023 and June 2024 included repairing weather stations, installing new Lascar sensors, and downloading data loggers to sustain and improve the climate record. Data …

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Probing The Interactions Of Anticancer Drug Doxorubicin To Dna Using Optical Tweezers, Jason Martin Dec 2024

Probing The Interactions Of Anticancer Drug Doxorubicin To Dna Using Optical Tweezers, Jason Martin

Honors Program Theses and Projects

Doxorubicin (Doxo) is a historically significant anti-cancer drug that has been used to treat multiple types of cancers for half a century. The drug targets DNA of cancer cells through a binding mode called intercalation, acting as roadblock during DNA replication to stop tumor formation. While Doxo has been extensively studied through traditional methods, only a handful of research has utilized single molecule methods, which can provide new insights at the molecular level. In this study, we used dual beam optical tweezers to isolate single DNA molecules and mechanically manipulate the DNA in the presence of Doxo. We conducted two …

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Synthesis, Characterization, And Investigation Of Photochemical And In Vitro Properties Of Novel Zn(Ii) Phthalocyanine, Yasemi̇n Bayğu Yildiz, Ni̇lgün Kabay, Burak Yildiz, İpek Ömeroğlu, Mahmut Durmuş, E. Riza Karagür, Hakan Akça, Çağri Ergi̇n, Yaşar Gök Dec 2024

Synthesis, Characterization, And Investigation Of Photochemical And In Vitro Properties Of Novel Zn(Ii) Phthalocyanine, Yasemi̇n Bayğu Yildiz, Ni̇lgün Kabay, Burak Yildiz, İpek Ömeroğlu, Mahmut Durmuş, E. Riza Karagür, Hakan Akça, Çağri Ergi̇n, Yaşar Gök

Turkish Journal of Chemistry

In our work, a new non-peripheral zinc(II) phthalocyanine bearing octa carboxylic acid ethyl ester derivative substituted triazole attached propylmercaptothiobenzylmercapto derivative was synthesized by the tetramerization reaction of phthalonitrile. The photochemical in vitro photodynamic activity of zinc(II) phthalocyanine (ZnPc-I), such as human non-small cell lung carcinoma cell lines, was investigated in this study. The singlet oxygen generation property of novel zinc(II) phthalocyanine (ZnPc-I) was also examined due to the significantly high singlet oxygen quantum yield of ZnPc-I (ΦΔ = 0.66). The antiproliferative effects of ZnPc-I were also investigated on A549 and H1299 cell lines, our results demonstrate that the ZnPc-I has …

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Synthesis, Structure, Hirshfeld Surface Analysis, And Molecular Docking Studies Of The Cocrystal Between The Cu(Ii) Complex Of Salicylic Acid And Uncoordinated Piracetam, Nazokat N. Yuldasheva, Ikram I. Abdullaev, Oybek I. Khudoyberganov, Lola A. Gandjaeva, Pirnazar K. Kodamboev, Elyor Sh. Samandarov, Adkhamjon S. Normamatov, Abror Kh. Ruzmetov, Yuldosh Y. Yakubov, C. Balakrishnan, Bakhtiyar T. Ibragimov, Aziz Bakhti̇yarovich Ibragimov Dec 2024

Synthesis, Structure, Hirshfeld Surface Analysis, And Molecular Docking Studies Of The Cocrystal Between The Cu(Ii) Complex Of Salicylic Acid And Uncoordinated Piracetam, Nazokat N. Yuldasheva, Ikram I. Abdullaev, Oybek I. Khudoyberganov, Lola A. Gandjaeva, Pirnazar K. Kodamboev, Elyor Sh. Samandarov, Adkhamjon S. Normamatov, Abror Kh. Ruzmetov, Yuldosh Y. Yakubov, C. Balakrishnan, Bakhtiyar T. Ibragimov, Aziz Bakhti̇yarovich Ibragimov

Turkish Journal of Chemistry

The cocrystal or supramolecular complex between Cu(II) complex of salicylic acid and uncoordinated piracetam has been synthesized. Its structure is characterized by element analysis, FT-IR, UV-Visible spectroscopy and X-ray crystallography. Spectroscopic methods confirm the formation of the metal complex while X-ray crystallography establishes molecular and crystal structure of the obtained compound. Binuclear Cu(II) complex of salicylic acid (complex molecule) is in the form of “Chinese lantern” and it interacts with uncoordinated piracetam by complicated system of H-bonds. However, according to the Hirshfeld surface analysis a contribution of the O•••H/H•••O contacts is only 24.9% while H•••H and H•••C/C•••H contacts account for …

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Preparation Of Manganese-Doped Carbon Quantum Dots@Halloysite Nanotubes Composites Films For Advanced Uv Shielding Properties, Xiao Zhang, Bin Wang Dec 2024

Preparation Of Manganese-Doped Carbon Quantum Dots@Halloysite Nanotubes Composites Films For Advanced Uv Shielding Properties, Xiao Zhang, Bin Wang

Turkish Journal of Chemistry

The development of Ultraviolet (UV) shielding materials are of great importance to protect human's health concerns and prevent the degradation of organic matters. However, the synthesis of highly efficient UV shielding polymer nanocomposites is currently limited by the agglomeration of inorganic anti-UV nanoparticles (NPs) within the polymer matrix and limited absorption spectrum of UV shielding agents. In this study, highly effective manganese doped carbon quantum dots@halloysite nanotubes composites (Mn-CDs@HNTs/PAS) were successfully synthesized by loading manganese doped carbon quantum dot (Mn-CDs) into UV shielding effective halloysite nanotubes (HNTs) via solvothermal method, followed by polymerization modification. The results show that inorganic NPs …

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A Fast And Responsive Turn-On Fluorescent Probe Based On A Quinone Conjugated Alkoxy Derivative For Biothiols And A Cellular Imaging Study, Ulviyye Nemetova, Ayşe Nur Önem, Alev Er, Sefa Çeli̇k, Ayşen E. Özel, Sevi̇m Akyüz, Mustafa Özyürek, Si̇bel Şahi̇nler Ayla Dec 2024

A Fast And Responsive Turn-On Fluorescent Probe Based On A Quinone Conjugated Alkoxy Derivative For Biothiols And A Cellular Imaging Study, Ulviyye Nemetova, Ayşe Nur Önem, Alev Er, Sefa Çeli̇k, Ayşen E. Özel, Sevi̇m Akyüz, Mustafa Özyürek, Si̇bel Şahi̇nler Ayla

Turkish Journal of Chemistry

Detection of intracellular biothiols (cysteine (CYS), N-acetyl cysteine (NAC) and glutathione (GSH)) with high-selectivity and sensitivity is important to reveal biological functions. In this study, 2-(2-methoxy-4-methylphenoxy)-3-chloro-5,8-dihydroxynaphthalene-1,4-dione (3) (DDN-O) compound was newly synthesized and used as a fluorogenic probe (detector molecule) in the fluorometric method for the rapid, highly selective and sensitive determination of biothiols. The intensity values (λex = 260 nm, λem = 620 nm) of the product were measured by adding biotihols to the reaction medium at varying concentrations and the glutathione equivalent thiol content (GETC) values of each biotiol were calculated. Using the compoud (3), the reference biotiol …

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Understanding Ammonia's Role In Mitigating Concentration Polarization In Anion-Exchange Membrane Electrodialysis, Abdallah Timmaoui, Mahmoud Ferhat, Nesri̇ne Souad Ferhat, Ahmed Hamdi Dec 2024

Understanding Ammonia's Role In Mitigating Concentration Polarization In Anion-Exchange Membrane Electrodialysis, Abdallah Timmaoui, Mahmoud Ferhat, Nesri̇ne Souad Ferhat, Ahmed Hamdi

Turkish Journal of Chemistry

In processes such as electrodialysis, the applied electrical potential is constrained by concentration polarization at the membrane/solution interface. This polarization, which intensifies at higher current densities, impedes ion transport efficiency and may lead to problems such as salt precipitation, membrane degradation, and increased energy consumption. Therefore, understanding concentration polarization is essential for enhancing membrane performance, improving efficiency, and reducing operational costs. This study investigates the impact of ammonia buffer (NH₄⁺/NH₃) on sulfate ion transport through anion-exchange membranes, with a particular focus on limiting current density and concentration polarization under constant current conditions. Our findings demonstrate that ammonia effectively eliminates concentration …

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New Naphthalene-Linked Pyrazoline-Thiazole Hybrids As Prominent Antilung And Antibreast Cancer Inhibitors, Hali̇li̇brahi̇m Çi̇ftçi̇, Masami Otsuka, Mikako Fujita, Belgi̇n Sever Dec 2024

New Naphthalene-Linked Pyrazoline-Thiazole Hybrids As Prominent Antilung And Antibreast Cancer Inhibitors, Hali̇li̇brahi̇m Çi̇ftçi̇, Masami Otsuka, Mikako Fujita, Belgi̇n Sever

Turkish Journal of Chemistry

Epidermal growth factor receptor (EGFR) and HER2, pioneer members of the receptor tyrosine kinase subfamily, are frequently mutated and/or overexpressed in several types of human cancers, including non-small cell lung cancer (NSCLC) and breast cancer, which are leading causes of cancer-related deaths worldwide. EGFR and HER2-focused anti-NSCLC and anti-breast cancer studies encouraged us to search for new potential agents. For this purpose, in the current work, naphthalene-linked pyrazoline-thiazole hybrids (BTT1-10 and BTP1-10) were synthesized and examined for their antiproliferative effects on A549 NSCLC and MCF-7 breast cancer cell lines. According to the results, MTT assay showed that BTT-5 induced strong …

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Analysis And Optimization Of The Adsorption Of Lead Ions On A New Material Based On Silica Synthesized From Blast Furnace Slag, Toufik Chouchane, Ouahida Khireddine, Sabiha Chouchane, Mohamed Tayeb Abedghars, Hazem Meradi Dec 2024

Analysis And Optimization Of The Adsorption Of Lead Ions On A New Material Based On Silica Synthesized From Blast Furnace Slag, Toufik Chouchane, Ouahida Khireddine, Sabiha Chouchane, Mohamed Tayeb Abedghars, Hazem Meradi

Turkish Journal of Chemistry

A novel silica-based material (SBM), synthesized from chemically, thermally, and mechanically treated blast furnace slag (TBFS), was examined for its batch-mode lead adsorption capacity, based on various parameters. Physico-chemical examinations revealed that the formulation of the new material (SBM) consists mainly of silica, which represents 81.79% of its total composition. After modification, the measured specific surface area changed significantly, from 275.8 to 480.13 m2/g, with a point of zero charge (PZC) of approximately 3.4 on the pH scale. The experiment revealed that the driving factors (contact time, stirring speed, solution pH, temperature, and initial concentration) greatly influenced the improvement of …

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