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Articles 26101 - 26130 of 1111717
Full-Text Articles in Entire DC Network
Pull-Out Performance Of Multiple Glued-In Rods In Sustainable Inorganic-Bonded Bamboo Composite Under Perpendicular-To-Grain Loading, Jing Ru Yao, Shaohua Yu, Qingxia Yue, Hanshu Zhang, Ernian Zhao
Pull-Out Performance Of Multiple Glued-In Rods In Sustainable Inorganic-Bonded Bamboo Composite Under Perpendicular-To-Grain Loading, Jing Ru Yao, Shaohua Yu, Qingxia Yue, Hanshu Zhang, Ernian Zhao
Physics and Engineering Science
As a sustainable bio-based material derived from bamboo crops, inorganic-bonded bamboo composite (InorgBam) exhibits excellent environmental sustainability, fire resistance, and long-term durability. To enable its broader adoption in structural applications, robust and efficient connection methods are essential. Glued-in rod (GiR) connections, characterized by high strength, stiffness, and superior fire performance, are especially well-suited for modern engineered bamboo and timber connections. The pull-out behavior of multiple GiRs in InorgBam material under perpendicular-to-grain loading was experimentally investigated using double-, triple-, and quadruple-rod specimens. The influence of anchorage length and spacing on failure modes and load-carrying capacity was systematically analyzed. Results demonstrate that …
A Novel Simulation Framework To Estimate Dynamic Response Of A Solar Panel Array Under Stationary Stochastic Wind Loads, Hanshu Zhang, You Jia Li, Matthew J. Dejong
A Novel Simulation Framework To Estimate Dynamic Response Of A Solar Panel Array Under Stationary Stochastic Wind Loads, Hanshu Zhang, You Jia Li, Matthew J. Dejong
Physics and Engineering Science
This paper presents a novel simulation framework for estimating the dynamic response of a full-scale ground-mounted solar panel array under stationary wind loads that are spatially correlated across the length of the solar panel array. Specifically, the framework uses mean pressure coefficient distributions along the length of a 1:10 prototype scale of the solar panel array from smooth inflow derived using the computational fluid dynamics (CFD) simulation software The Wind Engineering with Uncertainty Quantification (WE-UQ). Note that for the CFD simulation, the input wind field across the length of the solar panel array is uniform along the horizontal direction, and …
Annual Report For The Town Of Bridgewater, New Hampshire For The Fiscal Year Ending December 31, 2025, Bridgewater Town Representatives
Annual Report For The Town Of Bridgewater, New Hampshire For The Fiscal Year Ending December 31, 2025, Bridgewater Town Representatives
Bridgewater, NH Annual Reports
This is an annual report containing vital statistics for a town/city in the state of New Hampshire.
Criminal Data Function Creep, Sarah E. Lageson
Criminal Data Function Creep, Sarah E. Lageson
Journal of Criminal Law and Criminology
Automated, data-driven decision-making can create unfair outcomes and lead to discrimination. This Article considers a relatively ubiquitous part of modern life that is increasingly automated: the criminal background check. This Article, with contributions at the intersection of law and technology, antidiscrimination and consumer protection law, and sociological theory, makes the central claim that criminal record data is characterized by function creep—the unintended use of data for another purpose—which leads to a specific set of harms. This Article makes three central contributions. First, it offers an empirical assessment of contemporary, data-driven background screening using data based on in-depth interviews and systematic …
Rebutting The Presumption: A Constitutional Theory Of Pre-Trial Asset Seizures And Procedural Due Process, Benjamin Y. Rabin
Rebutting The Presumption: A Constitutional Theory Of Pre-Trial Asset Seizures And Procedural Due Process, Benjamin Y. Rabin
Journal of Criminal Law and Criminology
In this Comment, I trace the origins and examine the current state of the doctrine on pre-trial asset seizures, then argue for a new approach grounded in procedural due process and constitutional theory.
The existing frameworks for assessing due process in these cases fall into three categories. The first grants the government broad presumptive validity for pre-trial seizures. The second applies a utilitarian balancing test, following the Supreme Court’s reasoning in Mathews v. Eldridge and Connecticut v. Doehr. The third, illustrated by the recent decision in Culley v. Marshall, relies on comparisons to historical practice.
I argue that …
Synthetic Contact Zones: Meeting Nature And Animals In Video Games, Sarah C. Mcpherson
Synthetic Contact Zones: Meeting Nature And Animals In Video Games, Sarah C. Mcpherson
English Theses
Due to economic and environmental barriers, encounters with animals and nature have become increasingly inaccessible for many people, while video games have emerged as a common site for simulated environmental interaction. This thesis conceptualizes video games as synthetic contact zones, or digital spaces where representations of humans, animals, and environments interact, conflict, and shape one another. Drawing on the theories of Mary Louise Pratt, Donna Haraway, and Alenda Y. Chang, this project analyzes how video games model relationships between players, animals, and ecological systems through interactive mechanics and environmental storytelling. Explorations of Red Dead Redemption 2, Blair Witch, …
Enhancing The User Experience Of Colorado Bend State Park Through The Implementation Of Cultural Landscape Analysis, Hunter C. Lynch
Enhancing The User Experience Of Colorado Bend State Park Through The Implementation Of Cultural Landscape Analysis, Hunter C. Lynch
Landscape Architecture Masters & Design Theses
This design thesis investigates how landscape character and sense of place can be more clearly expressed through a cultural landscape approach to design at Colorado Bend State Park, a state park in Texas, with a focus on guiding future trail and campsite development in the currently undeveloped eastern portion of the park.The park’s dramatic canyons, limestone bluffs, spring-fed systems, and upland prairies form a series of distinct, yet interconnected landscape conditions shaped by the interaction of physical structure, ecological systems, and cultural associations. While these characteristics define the site's identity and are reflected in portions of the existing park, they …
Voice And Student Engagement With Writing: Integrating Perspective, Personality, And Style, Sara S. Martin
Voice And Student Engagement With Writing: Integrating Perspective, Personality, And Style, Sara S. Martin
English Dissertations
The rise of generative AI has many teachers worried about the future of writing classes and students’ desire to learn. However, instructors can motivate students to write by valuing what AI can never replace: their voices. Previous definitions of voice took the concept for granted and left it either vague or reductive, unhelpful for structured lessons. I propose a new, more teachable definition of voice as perspective, personality, and style. Perspective takes priority because it belongs solely to the individual and the unrepeatable moment of composition. Personality infuses passages with emotion, forming a bond between author and reader. Style, the …
Enhancing The Performance Of Disk-Based Key-Value Stores: From Learned Index Acceleration To I/O-Efficient Hybrid Caching, Sujit Maharjan
Enhancing The Performance Of Disk-Based Key-Value Stores: From Learned Index Acceleration To I/O-Efficient Hybrid Caching, Sujit Maharjan
Computer Science and Engineering Dissertations - Archive
The exponential growth of data in modern computing environments has rendered the efficient extraction of information from massive datasets a critical systemic requirement. Key-value (KV) storage systems serve as the backbone for these operations; however, their performance is consistently bottlenecked by two primary functional requirements: identifying the data's location and managing the physical cost of accessing the storage device. Data locations are typically identified via an index, while disk I/O is minimized through caching. This dissertation presents LearnedStore, TurboIndex, and ReadBooster, which break these performance bottlenecks by introducing architectural modifications to the index and cache. LearnedStore accelerates operations by adapting …
Adaptive Synchronization In Digital Twin–Enabled Iot Systems: A Unified Framework For Energy, Fidelity, And Latency Trade-Offs, Uzma Zehra
Computer Science and Engineering Theses
Digital twin technology has emerged as a foundational paradigm for enabling real-time monitoring, analysis, and control in Internet of Things (IoT) systems by maintaining virtual representations of physical processes. Its effectiveness, however, critically depends on timely and accurate synchronization between distributed sensing devices and their corresponding digital counterparts. Frequent synchronization improves reconstruction fidelity and system responsiveness but incurs significant communication energy consumption and network latency. In contrast, infrequent synchronization conserves communication resources but can lead to stale or inaccurate digital twin states, particularly in environments with rapidly changing dynamics. These opposing effects give rise to a fundamental trade-off among energy …
Performance Evaluation Of Modified Moisture Barrier For Subgrade Stabilization Of Pavements On Expansive Soils, Md Tamim Shahriar
Performance Evaluation Of Modified Moisture Barrier For Subgrade Stabilization Of Pavements On Expansive Soils, Md Tamim Shahriar
Civil Engineering Theses
Expansive soils inflict an estimated nine to fifteen billion dollars in annual damage to infrastructure across the United States, surpassing the combined losses from earthquakes, floods, hurricanes, and tornadoes (Nelson and Miller, 1997; Jones and Jefferson, 2012). In Texas, eighteen of twenty-five TxDOT districts contend with pavement failure rooted in moisture-driven volume change of subgrade clay, consuming roughly twenty-five percent of the agency's annual budget for maintenance and repair (Sebesta, 2002; Wanyan et al., 2010). Conventional remediation approaches, including soil replacement, chemical stabilization with lime or cement, and prewetting, are either prohibitively expensive, unsuitable for high-sulfate soils, or confined to …
Ai Literacy Frameworks In Secondary Cte: Supporting The Next Generation Of The Workforce, Reagan Kaylee Montross
Ai Literacy Frameworks In Secondary Cte: Supporting The Next Generation Of The Workforce, Reagan Kaylee Montross
All Electronic Theses and Dissertations
The purpose of this literature review is to understand how generative AI (GenAI) is impacting the future employment of high school students at the forefront of the most significant technological, cultural, and educational shift of this generation. It examines five AI literacy frameworks relating to secondary education. These frameworks each emphasize the importance of educating students in AI literacy and provide educators with a structure for integrating AI skills. Among the frameworks reviewed, those published by the United States Department of Labor and the OECD place greater emphasis on applied practices, while the AI4K12 and KAT frameworks emphasize how AI …
Disparate (Algorithmic) Advantage, Yunsieg P. Kim, Jacob Eisler
Disparate (Algorithmic) Advantage, Yunsieg P. Kim, Jacob Eisler
Hofstra Law Faculty Scholarship
No abstract provided.
Utility-Privacy-Communication Trade-Offs In Federated Financial Fraud Detection Under Non-Iid Client Heterogeneity, Baraa I. Farhan
Utility-Privacy-Communication Trade-Offs In Federated Financial Fraud Detection Under Non-Iid Client Heterogeneity, Baraa I. Farhan
Polytechnic Journal
Financial fraud detection is difficult because fraudulent transactions are rare, unevenly distributed, and sensitive. This study evaluates a lightweight multilayer perceptron under Federated Averaging (FedAvg), Federated Proximal optimization (FedProx), and Federated Adam (FedAdam), using three seeds and validation-selected decision thresholds. Corrected R4 experiments cover the Credit Card Fraud Detection benchmark, the larger Credit Card Transactions dataset, PaySim as a stand-alone synthetic stress test, and the Bank Account Fraud (BAF) Dataset Suite. On Credit Card, FedProx with 20 clients and alpha = 0.5 achieved F1 = 0.789 +/- 0.010. On Transactions, the best tested federated setting used 10 clients and achieved …
Metaheuristic Feature Selection Techniques For Software Fault Prediction: Swot Analysis And Emerging Trends, Ruchika Aggarwal, Kamaljit Kaur
Metaheuristic Feature Selection Techniques For Software Fault Prediction: Swot Analysis And Emerging Trends, Ruchika Aggarwal, Kamaljit Kaur
Polytechnic Journal
The paper presents a detailed study of metaheuristic feature selection (MH-FS) methods in software fault prediction (SFP), designed to address the limitations of filter and wrapper feature selection methods such as high dimensionality and local optima that can lead to poor prediction accuracy. MH-FS algorithms address these issues by effectively searching the feature space to identify optimal subsets that improve classifier performance. It conducts a comprehensive narrative review and SWOT analysis (Strengths, Weaknesses, Opportunities and Threats) of MH-FS methods in SFP, considering 44 peer-reviewed articles from 2023 to 2025. A formal taxonomy of metaheuristic algorithms is presented, along with an …
A 20th Century Historical Perspective On Congenital Syphilis And Lessons For Today., Jane F. Knapp, Robert Schremmer
A 20th Century Historical Perspective On Congenital Syphilis And Lessons For Today., Jane F. Knapp, Robert Schremmer
Manuscripts, Articles, Book Chapters and Other Papers
No abstract provided.
Allocating Electricity, Alexandra Klass, Dave Owen
Allocating Electricity, Alexandra Klass, Dave Owen
Articles
The U.S. electricity system is premised on the ideas that utilities have a duty to serve all customers in their service territories and that electricity supply should always meet demand. Until recently, there has been little reason to question these foundational premises. U.S. electricity demand has remained flat for over a decade, and during earlier periods of growth, new energy generation plants were relatively easy to build. Now, however, electricity experts predict massive load growth—most notably from data centers to power artificial intelligence and cryptocurrency—and building new power plants is no longer easy.
Major efforts are underway to increase electricity …
Authorship Nonsense, Jessica Litman
Authorship Nonsense, Jessica Litman
Articles
Copyright law’s primary device for promoting progress is to bestow rights on the authors of works. Rights vest automatically and last for a very long time. Authors’ choices to retain, license, or transfer those rights fuel opportunities to communicate the works to their audiences. The copyright system’s mechanisms for determining who authored works (and therefore automatically obtained copyright rights) should be both accurate and reliable, since misidentifications will undermine the law’s working as intended.
This article examines authors’ creation of works and copyright law’s handling of authorship disputes. Many works result from creative collaboration. Although the copyright statute incorporates mechanisms …
15-Last Lecture, Heinrich Blücher
15-Last Lecture, Heinrich Blücher
Bazelow Transcripts
Heinrich Blücher’s Last Lecture, transcript edited by Alexander Bazelow, presents a sweeping philosophical reflection on meaning, freedom, nihilism, and the unfinished task of humanity. Confronting the modern experience of meaninglessness—especially among the young—Blücher argues that philosophy’s enduring task is the transformation of life into meaningful existence through conscious thought and responsible action. He traces the historical development of nihilism and metaphysical belief from ancient myth, through Greek philosophy, Christianity, and modern systems culminating in Hegel, Marx, Kierkegaard, and Nietzsche, whom he treats as prophetic figures of the modern crisis. Blücher criticizes the deification of history, science, power, and ideology, insisting …
The Protective Power Of Psychological Resources In Mitigating Burnout And Enhancing Flourishing, Dylan R. Polkinghorne, David J. Radosevich, Deirdre M. Radosevich, Dianne D. Murphy, Laken James, Sue S. Craver
The Protective Power Of Psychological Resources In Mitigating Burnout And Enhancing Flourishing, Dylan R. Polkinghorne, David J. Radosevich, Deirdre M. Radosevich, Dianne D. Murphy, Laken James, Sue S. Craver
Management Faculty Research and Publications
Purpose
This study explores how burnout mediates the relationships between critical psychological resources, specifically resilience, flow and self-efficacy, and flourishing in contemporary work environments.
Design/methodology/approach
Data from 374 participants, including undergraduate students at a regional comprehensive university in the Midwest and full-time working adults in the USA, were analyzed using mediation analysis in MPlus 8.11 to assess the indirect and direct effects among burnout, psychological resources and flourishing in a work environment.
Findings
Results indicate that self-efficacy significantly predicts lower burnout levels and higher flourishing. Resilience and flow were negatively associated with burnout, reducing its impact; however, the direct effects …
Mapping Functional Connectivity In The Pigeon Brain With Wide-Field Optical Imaging, Kathryn C Chenard, Annie R Bice, Seana H Bice, Joseph P Culver, Paula Gerliz, Xavier Helluy, Onur Güntürkün, Jason W Trobaugh, Mehdi Behroozi, Carlos A Botero
Mapping Functional Connectivity In The Pigeon Brain With Wide-Field Optical Imaging, Kathryn C Chenard, Annie R Bice, Seana H Bice, Joseph P Culver, Paula Gerliz, Xavier Helluy, Onur Güntürkün, Jason W Trobaugh, Mehdi Behroozi, Carlos A Botero
2020-Current year OA Pubs
SIGNIFICANCE: Adapting optical imaging technology to avian models can overcome many limitations imposed by functional magnetic resonance imaging (fMRI), which currently restricts the number of species used to study functional connectivity. Developing advanced technology to expand the diversity of species that can be effectively imaged is crucial for addressing significant questions that are currently unreachable, such as understanding the evolution of cognition from a comparative perspective.
AIM: We assessed the potential of optical imaging technology to measure functional connectivity in birds, utilizing pigeons as an avian model. We evaluated whether we could partition the dorsal surface of the pigeon brain …
Sonobiopsy For Enrichment Of Circulating Micrornas In Glioma Patients, Jinyun Yuan, Yuanxiang Li, Chih-Yen Chien, Lu Xu, Andrew H Stark, Siaka Fadera, Zhaoning Gu, Yu Xuan Chin, Kevin Xu, Arash Nazeri, Umeshkumar Athiraman, Xiaowei Wang, Hong Chen, Eric C Leuthardt
Sonobiopsy For Enrichment Of Circulating Micrornas In Glioma Patients, Jinyun Yuan, Yuanxiang Li, Chih-Yen Chien, Lu Xu, Andrew H Stark, Siaka Fadera, Zhaoning Gu, Yu Xuan Chin, Kevin Xu, Arash Nazeri, Umeshkumar Athiraman, Xiaowei Wang, Hong Chen, Eric C Leuthardt
2020-Current year OA Pubs
BACKGROUND: Sonobiopsy is a promising new technique that employs focused ultrasound (FUS) to noninvasively enrich brain tumor-derived biomarkers from spatially targeted brain location into the bloodstream. Building upon our recent first-in-human sonobiopsy trial demonstrating enrichment of circulating tumor DNA (ctDNA), here we investigated whether sonobiopsy can enhance the release and detection of tumor-derived microRNAs (miRNAs).
METHODS: Eleven patients with glioma underwent FUS sonication immediately prior to surgical resection. Peripheral blood samples were collected 5 min before and 5, 10, and 30 min after sonication. Plasma and brain tissue miRNA levels were quantified through small RNA sequencing and compared among different …
Focused Ultrasound-Enhanced Nose-To-Brain Delivery Of A Therapeutic Antibody In A Large-Animal Model, Siaka Fadera, Cristian Antonio Wieczorek Villas Boas, Yimei Yue, Zhaoning Gu, Jinyun Yuan, Debolina De, Buck E Rogers, Arash Nazeri, Hong Chen
Focused Ultrasound-Enhanced Nose-To-Brain Delivery Of A Therapeutic Antibody In A Large-Animal Model, Siaka Fadera, Cristian Antonio Wieczorek Villas Boas, Yimei Yue, Zhaoning Gu, Jinyun Yuan, Debolina De, Buck E Rogers, Arash Nazeri, Hong Chen
2020-Current year OA Pubs
No abstract provided.
Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al.
Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al.
2020-Current year OA Pubs
As the world's population ages, the focus of healthcare is shifting from extending life span to promoting health span. There is an unmet need to identify sensitive and reliable markers of health span through more cost-effective and non-invasive methods, to enable early and effective intervention on modifiable aging factors. The eye offers a unique window into systemic health, providing direct visualization of the body's vascular and neural health. This review presents an overview of how various ocular structures can serve as biomarkers of health span-drawing on insights from ocular imaging, metabolomics, and proteomics, with evidence from basic science, animal models, …
Optimisation Of Laminar Jet Flow Microencapsulation Variables To Enhance The Anthocyanin Retention And Antioxidant Function Of Sohiong, Roshiya Nongmaithem, Raju Sasikumar, Kaviarasu G., Selva Kumar T., Ravikumar Rajarathinam, Paras Sharma, Sheena Haorongbam, Kowsalya T., K. Senthilkumar, Amit K. Jaiswal
Optimisation Of Laminar Jet Flow Microencapsulation Variables To Enhance The Anthocyanin Retention And Antioxidant Function Of Sohiong, Roshiya Nongmaithem, Raju Sasikumar, Kaviarasu G., Selva Kumar T., Ravikumar Rajarathinam, Paras Sharma, Sheena Haorongbam, Kowsalya T., K. Senthilkumar, Amit K. Jaiswal
Research Outputs: 2025-Present
Anthocyanins are valuable dietary elements with biological functions and health-promoting effects. However, there are technological barriers to their use in the food industry, primarily due to their poor stability and susceptibility to environmental factors, such as oxygen, temperature, pH, and light, which can significantly affect the physicochemical characteristics of the final food products. In this study, the microencapsulation of an anthocyanin extract from sohiong fruits was performed using a laminar jet flow vibration nozzle, with calcium chloride as a hardening agent and sodium alginate as a polymer. To produce calcium-alginate microbeads with a high anthocyanin content and favourable morphological characteristics, …
Techmate:: Translating Gender Equality Research Into Actionable Practice For Computing Educators, Alina Berry, Susan Mckeever, Brenda Murphy, Sarah Jane Delany
Techmate:: Translating Gender Equality Research Into Actionable Practice For Computing Educators, Alina Berry, Susan Mckeever, Brenda Murphy, Sarah Jane Delany
Research Outputs: 2025-Present
The persistent underrepresentation of women in computing higher education remains a global challenge, with women comprising less than 20% of ICT specialists across the EU. While substantial research has identified effective interventions to support underrepresented groups, this evidence remains fragmented across academic publications, grey literature, and institutional reports. Educators seeking to implement gender-inclusive practices face significant barriers in identifying relevant initiatives, understanding implementation requirements, and accessing practical guidance suitable for their institutional contexts. This work presents TechMate, a fully operational (https://ascnet.ie/techmate/) web-based, open-access toolkit designed to bridge the gap between research evidence and practical implementation. The toolkit consolidates over 25 …
Optimizing Ucs Prediction Models Through Xai-Based Feature Selection In Soil Stabilization, Ahmed Mohammed Awad Mohammed, Omayma Husain, Mosab Hamdan, Abdalmomen Mohammed, Abdullah Ansari, Atef Badr, Abubakar Elsafi, Abubakr Siddig
Optimizing Ucs Prediction Models Through Xai-Based Feature Selection In Soil Stabilization, Ahmed Mohammed Awad Mohammed, Omayma Husain, Mosab Hamdan, Abdalmomen Mohammed, Abdullah Ansari, Atef Badr, Abubakar Elsafi, Abubakr Siddig
Research Outputs: 2025-Present
Unconfined Compressive Strength (UCS) is a key parameter for the assessment of the stability and performance of stabilized soils, yet traditional laboratory testing is both time and resource intensive. In this study, an interpretable machine learning approach to UCS prediction is presented, pairing five models (Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), CatBoost, and K-Nearest Neighbors (KNN)) with SHapley Additive exPlanations (SHAP) for enhanced interpretability and to guide feature removal. A complete dataset of 12 geotechnical and chemical parameters, i.e., Atterberg limits, compaction properties, stabilizer chemistry, dosage, curing time, was used to train and test the models. …
Mid-Infrared Spectroscopy And Machine Learning For Chlorogenic Acid Quantification In Coffee, Deborah Herdt, Felix Wühler, Thomas Kunz, Victoria Schiwek, Sarah Kühnemuth, Brian Gibson, Matthias Rädle
Mid-Infrared Spectroscopy And Machine Learning For Chlorogenic Acid Quantification In Coffee, Deborah Herdt, Felix Wühler, Thomas Kunz, Victoria Schiwek, Sarah Kühnemuth, Brian Gibson, Matthias Rädle
Research Outputs: 2025-Present
To predict chlorogenic acid (CGA) concentration in coffee during roasting, a machine learning algorithm was applied to mid-infrared (MIR) data. A total of 44 roasting samples between 140 and 220 °C, along with an unroasted control, were dry-heated in an eddy current roaster and subsequently ground and measured. CGA concentrations were predicted from MIR spectroscopy data using a multilayer perceptron (MLP) regressor and validated against a high-performance liquid chromatography with diode array detector reference. The algorithm performed spectral preprocessing and selected relevant wavenumber regions. The MLP-based model achieved a high coefficient of determination, outperforming classic peak evaluation, indicating that automated …
Smart Biosensing Nanomaterials For Alzheimer’S Disease: Advances In Design And Drug Delivery Strategies To Overcome The Blood–Brain Barrier, Manickam Rajkumar, Furong Tian, Bilal Javed, Bhupendra G. Prajapati, Paramasivam Deepak, Koyeli Girigoswami, Natchimuthu Karmegam
Smart Biosensing Nanomaterials For Alzheimer’S Disease: Advances In Design And Drug Delivery Strategies To Overcome The Blood–Brain Barrier, Manickam Rajkumar, Furong Tian, Bilal Javed, Bhupendra G. Prajapati, Paramasivam Deepak, Koyeli Girigoswami, Natchimuthu Karmegam
Research Outputs: 2025-Present
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by persistent memory impairment and complex molecular and cellular pathological changes in the brain. Current treatments, including acetylcholinesterase inhibitors and memantine, only help with symptoms for a short time and do not stop the disease from getting worse. This is mainly because these drugs do not reach the brain well and are quickly removed from the body. The blood–brain barrier (BBB) restricts the entry of most drugs into the central nervous system; therefore, new methods of drug delivery are needed. Nanotechnology-based drug delivery systems (NTDDS) are widely studied as a potential …
Development Of An Active Crosslinked Nanocomposite Film Based On Gelatin-Ethyl Cellulose, Trans-Cinnamaldehyde, And Silver Nanoparticles For The Preservation Of Sliced Meat, Elham Sarmast, Shiv Shankar, Stephane Salmieri, Sahra Amel Rahmouni, Monique Lacroix
Development Of An Active Crosslinked Nanocomposite Film Based On Gelatin-Ethyl Cellulose, Trans-Cinnamaldehyde, And Silver Nanoparticles For The Preservation Of Sliced Meat, Elham Sarmast, Shiv Shankar, Stephane Salmieri, Sahra Amel Rahmouni, Monique Lacroix
Research Outputs: 2025-Present
This study aimed to develop a novel bioactive biobased packaging film combining gelatin (G) and ethyl cellulose (EC), cardanol and glycerol as plasticizers, trans-cinnamaldehyde (TCA) as a crosslinker/bioactive compound, and silver nanoparticles (AgNPs) as bioactive agents. The degree of crosslinking, mechanical and thermal properties, water solubility (WS), and water vapor permeability (WVP) of the films were analyzed. Molecular interactions within the film matrix were determined by FTIR spectroscopy. The G-EC film, in a 1:2 weight ratio, exhibited improved physicochemical properties compared to the pure G film, with a low WS (7.8%). The incorporation of TCA and AgNPs—to form bioactive nanocomposite …