แนวทางเพื่อการจัดการปัญหาขยะทะเลในประเทศไทย, ทรายทอง บุญบางยาง, จารุมาศ เจริญพานิช

Thai Environment

การสังเคราะห์แนวทางเพื่อการจัดการปัญหาขยะทะเลดำเนินการโดยการวิเคราะห์งานวิจัยและบทความทางวิชาการ ตลอดจนการระดมความคิดเห็นในกลุ่มผู้รู้ผู้เชี่ยวชาญเพื่อการสังเคราะห์แนวทางที่เหมาะสม ผลการศึกษาพบประเด็นจุดอ่อนที่สำคัญคือการมีที่มาของขยะในปริมาณมาก การขาดสมรรถนะของการจัดการโดยชุมชน และการขาดการสนับสนุนด้านการจัดการจากภาครัฐอย่างเพียงพอ ส่วนจุดแข็งที่พบในหลายพื้นที่คือการเริ่มใช้นโยบายหรือมาตรการในการควบคุมปริมาณขยะ การมีกิจกรรมชุมชนในเชิงอนุรักษ์สภาพแวดล้อม และการพัฒนาระบบการจัดการขยะอย่างครบวงจรในชุมชน สำหรับผลการสังเคราะห์แนวทางการแก้ไขปัญหาขยะทะเลพบว่าประเด็นด้านการตั้งจุดรับแยกขยะในพื้นที่ การสร้างความตระหนักรู้ในองค์กรระดับท้องถิ่น และการจัดสร้างระบบการจัดการขยะที่เหมาะสม เป็นเรื่องสำคัญในระดับท้องถิ่น ส่วนในระดับประเทศเราควรให้ความสำคัญกับการกำหนดเป้าหมายให้เกิดอย่างเป็นรูปธรรม และจัดทำฐานข้อมูลตามแหล่งที่มาของขยะให้ชัดเจน นอกจากนี้ควรเร่งจัดการปัญหาขยะจากเรือประมง ผลการศึกษาในภาพรวมยังพบความจำเป็นในการบริหารจัดการที่ต้องครอบคลุมทั้งมิติด้านความร่วมมือในชุมชน ด้านระเบียบนโยบายและมาตรการที่เหมาะสม และด้านระบบการจัดการที่ควรขับเคลื่อนโดยองค์การบริหารส่วนท้องถิ่นในแต่ละพื้นที่ ทั้งนี้ เพื่อให้เกิดการแก้ปัญหาขยะทะเลได้อย่างเป็นรูปธรรม

การจัดการขยะหลังภัยพิบัติน้ำท่วม : บทเรียนจากประเทศญี่ปุ่นต่อการพัฒนานโยบายในประเทศไทย, วิไลลักษณ์ นิยมมณีรัตน์, มงคลชัย อัศวดิษฐเลิศ, กนกพร คุ้มภัย

Thai Environment

การศึกษาการจัดการขยะหลังภัยพิบัติน้ำท่วม โดยวิเคราะห์บทเรียนจากประเทศญี่ปุ่นเพื่อพัฒนานโยบายสำหรับประเทศไทย เนื่องจากประเทศไทยประสบปัญหาน้ำท่วมบ่อยครั้ง ทำให้เกิดขยะจำนวนมหาศาลซึ่งเกินขีดความสามารถของระบบจัดการขยะปกติ การศึกษาได้เปรียบเทียบกรณีศึกษาในประเทศญี่ปุ่นและประเทศไทย พร้อมทั้งเสนอแนวทางการจัดการขยะในแต่ละระยะของภัยพิบัติ รวมถึงข้อเสนอแนะเชิงนโยบายต่อประเทศไทยถึงความจำเป็นของการเตรียมความพร้อมด้านการจัดการขยะหลังภัยพิบัติ เพื่อเสริมสร้างความพร้อมและความยั่งยืนในการจัดการขยะหลังภัยพิบัติในประเทศไทย

Performance Of Numerical Methods Applied To The Black–Scholes Model, Scott Cameron Williams

UNF Graduate Theses and Dissertations

We compare five numerical approaches for approximating solutions to the Black–Scholes partial differential equation for pricing European call options: FTCS, BTCS, Crank– Nicolson, Monte Carlo simulation, and a physics–informed neural network (PINN). These methods span finite difference techniques, probabilistic simulation, and machine learning. Performance is evaluated based on computational efficiency and accuracy relative to the analytical Black–Scholes solution.

Among the methods, Crank–Nicolson and the PINN demonstrated the strongest overall performance. Crank–Nicolson achieved the highest accuracy but exhibited increased runtime as the number of underlying stock price grid points grew. In contrast, the PINN produced slightly less accurate results but with …

What Novice Educators Find Supportive, Robin M. Bossinger

UNF Graduate Theses and Dissertations

Teacher shortages have increased in the past two decades, creating greater emphasis on recruitment, talent development, and retention efforts for educational leaders. Novice educators feature prominently in these considerations. A teacher’s first years can be extremely challenging, and induction, the professional learning experiences specific to early career professionals, is often considered the answer. Despite the seeming ubiquity of induction, there is much variability in interpretation, enactment and outcomes. While it is generally accepted that some induction is better than no induction, new teachers deserve more intentionally designed support.

This study sought to reexamine assumptions about induction, adding to the literature …

Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto

UNF Graduate Theses and Dissertations

The COVID-19 pandemic widened academic achievement gaps, creating an urgent mandate for school leaders to implement systemic, data-driven frameworks to support student academic recovery. While the Multi-Tiered System of Supports (MTSS) is a widely adopted framework for addressing these disparities, its success is dependent on the strategic involvement and instructional leadership of the school principal. This qualitative case study explores the lived experiences and leadership characteristics of elementary school principals as they lead School-Based Leadership Teams in implementing a district-developed MTSS framework.

Guided by the principles of Improvement Science and the Plan-Do-Study-Act (PDSA) inquiry cycle, this research examines the specific …

Integrating Inquiry, Peer Observation, And Professional Learning Communities: Teachers’ Experiences With A Job-Embedded Professional Learning Design, Tiffany Outman

UNF Graduate Theses and Dissertations

Professional learning is often experienced through disconnected initiatives that limit opportunities for sustained collaboration, reflection, and instructional growth. This qualitative action research study explored teachers’ experiences with the integration of teacher inquiry, peer observation, and professional learning communities (PLCs) as a design for job-embedded professional learning within an elementary school setting. The study emerged from an existing culture of collaboration and peer observation at Timber Oaks Elementary, a suburban elementary school in Northeast Florida, and examined what happened when inquiry was intentionally integrated into those structures as the next stage of the school’s professional learning journey. While the professional learning …

Leveraging Large Language Models For Career Mobility Analysis: A Study Of Gender, Race, And Job Change Using Us Online Resume Profiles, Palakorn Achananuparp, Ye Xu, Yao Lu, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

We present a large-scale analysis of career mobility of college-educated U.S. workers using online resume profiles to investigate how gender, race, and job change options are associated with upward mobility. This study addresses key research questions of how the job changes affect their upward career mobility, and how the outcomes of upward career mobility differ by gender and race. We address data challenges – such as missing demographic attributes, missing wage data, and noisy occupation labels – through various data processing and Artificial Intelligence (AI) methods. In particular, we develop a large language models (LLMs) based occupation classification method known …

Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, combining the strength of large language models (LLMs) and Evolutionary Computation (EC) has shown promising results for addressing optimization problems. It typically involves either iterative next-step solution seeking or directly prompting LLMs to generate critical optimization codes. However, these methods often suffer from low computational efficiency, high sensitivity to prompt design, and a lack of domain-specific knowledge. We introduce LLaMoCo, the first instruction-tuning framework designed to adapt LLMs for solving optimization problems in a code-to-code manner. LLaMoCo features a comprehensive instruction set that includes code-style problem descriptions as input prompts and robust optimization codes from expert EC optimizers as …

Flood-Season Surface Water-Groundwater Interactions Across Distinct Geomorphic Units In A Yellow River Great Bend Tributary Basin, Yinlong Wang, Ruizhong Gao, Debin Jia, Xixi Wang, Tingxi Liu, Xiaomin Liu, Shiming Bai

Civil & Environmental Engineering Faculty Publications

Surface water-groundwater interactions are complex in the Great Bend region of the Yellow River. Clarifying water exchange and source differences among geomorphic units is important for understanding regional hydrological processes and improving water resources management. In this study, the Wulanmulun River Basin, a typical tributary of the Yellow River, was selected as the study area. A total of 90 water samples were collected, including 25 river water samples, 43 groundwater samples, and 22 precipitation samples. Gibbs diagrams, multivariate statistical analysis, PMF, and MixSIAR models were used to investigate the hydrochemical and isotopic characteristics, source contributions, and transformation relationships of surface …

The Journey Of High School Teachers Evolving Into Career Educators, Diane B. Ried

UNF Graduate Theses and Dissertations

Abstract

Teacher attrition has been a major challenge in the United States for decades, but more so after covid. This case study explored and expanded the understanding of the different levels of environmental impact on high school teacher retention in a Florida high school as they evolved into career educators. The present study used Bronfenbrenner’s (1979) Ecological Systems Theory to examine the teacher’s retention in a county in northcentral Florida. In order to better understand the experience of career development, this study used Savickas’ Career Construction Theory (2019). This case study investigated strategies, supports, and diversity related initiatives impacting a …

Regulation And Localization Of Urease In Sporosarcina Pasteurii: Implications For Coastal Protection, Amar Kosovac

UNF Graduate Theses and Dissertations

Coastal erosion is a persistent problem exacerbated by global warming. As the climate changes, the southeastern coast is likely to experience an increased frequency and intensity of storms, which can significantly damage the coastline. The coast is crucial as it serves as a habitat for numerous animals, supports tourism, and underpins infrastructure. Microbially induced calcite precipitation (MICP) is a novel method to enhance erosion resistance in sandy soils using the non-pathogenic bacterium Sporosarcina pasteurii. S. pasteurii produces urease to catalyze urea into bicarbonate, which drives the precipitation of calcium carbonate. Maximal expression of urease is a limiting factor for …

The Effects Of Weathering On The Very High Cycle Fatigue Behavior Of Aluminum 6061-T6, Rama Albatesh

UNF Graduate Theses and Dissertations

Aluminum 6061-T6 is commonly used in structural and transportation applications due to its strength-to-weight ratio, corrosion resistance, and ease of manufacturing. In many practical situations, components made from this alloy experience cyclic loading while exposed to environmental conditions such as humidity, temperature changes, and ultraviolet radiation. These factors can affect surface integrity and fatigue performance, especially in the very high-cycle fatigue (VHCF) regime.

This study aims to explore how accelerated weathering impacts the ultrasonic fatigue behavior of Aluminum 6061-T6. First, assess the material through tensile testing to determine its mechanical properties. Then conducted microstructural analysis using optical microscopy, scanning electron …

Energy-Efficient Security For Narrowband Iot Using Blockchain And Ep-Cumac, Hafizullah Kakar

UNF Graduate Theses and Dissertations

The Narrowband Internet of Things (NB-IoT) continues to expand but faces challenges such as cryptographic overhead and energy consumption. Security frameworks such as blockchain and Energy-Performance Cumulative Message Authentication Codes (EP-CuMAC) rely heavily on SHA-256, which is not optimized for energy-limited devices.

This work unifies two complementary approaches, a hybrid blockchain-based NB-IoT framework and an EP-CuMAC-based framework, by engineering their cryptographic core with an Energy Complexity Model-optimized SHA-256 (ECM-SHA256). ECM applies parallel memory-bank mapping and block-level access optimization to reduce redundant power usage while preserving algorithmic integrity.

Experimental evaluation on identical Intel DDR3 systems using pyRAPL shows energy savings of …

Novice Teachers' Perceptions Of Clinical Experience And Their Preparedness To Teach In High-Need Urban Schools, Robin D. Renelus

UNF Graduate Theses and Dissertations

This hermeneutic phenomenological study examined novice teachers’ perceptions of how clinical experiences in a teacher preparation program prepared them to teach in high-need urban schools. The study included 12 novice teachers with three or fewer years of teaching experience who completed their clinical experience at the same university in Northeast Florida. Data were collected using Seidman’s (2019) three-interview approach, which explored participants’ backgrounds, day-to-day teaching experiences, and reflections on their sense of preparedness. Data were analyzed to develop textural descriptions of what participants experienced and structural descriptions of how those experiences were shaped (Moustakas, 1994).

Participants described clinical experiences as …

Growth And Dielectric Characterization Of Epitaxial Sr1-Xmgxtio3 Thin Films, Richard Badu

UNF Graduate Theses and Dissertations

Complex oxide materials with ferroelectric ground states remain promising candi dates for next-generation high-capacitance and nonlinear microelectronic applica tions. One of those materials is SrTiO3 (STO). However, STO is an incipient fer roelectric with anomalously high dielectric permittivity at low temperatures. STO crystals possess a highly polarizable lattice that is sensitive to even small amounts of impurities. Substituting Mg into the STO matrix is predicted to induce a corre lation between ferroelectric and relaxor behavior. In this thesis, we demonstrated the growth of a series of epitaxial STO and Sr1-xMgxTiO3 thin films using molec ular beam epitaxy. The surface evolution …

Development And Testing Of A Low-Cost Inertial Impact Sensor, Gabriel Michael Pesek

UNF Graduate Theses and Dissertations

Acceleration sensors have seen increasing usage within sports to detect when somebody receives an impact to their head which can potentially lead to Traumatic Brain Injury (TBI). While adoption of these sensors has steadily risen, the cost of these sensors is often cited as a reason they have not been as widely adopted, especially for amateur teams. This leads to the need for a lower-cost option for detecting these impacts. To fill this gap, a low-cost, lightweight acceleration sensor was designed that exploits the inertia of a working fluid on impact in order to rupture a metallic membrane which acts …

January 2026 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum

Faculty Publications

Breast cancer is the leading cause of cancer-related mortality in African American (AA) women. In this study we evaluated the serum proteomic profile of AA women with breast cancer using an integrated proteomic framework with multivariate pattern analysis. Using 2D-DIGE, thousands of serum protein spots were detected across 33 gels; 46 spots met criteria for presence, statistical significance, and differential expression. Proteins from the spots were identified by MALDI-TOF/TOF and matched in curated databases, highlighting serum biomarkers including ceruloplasmin, alpha-2-macroglobulin, complement component C3 and C6, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein and haptoglobin-related protein. LC-MS/MS analysis revealed 163 differentiating peptides after imputing and …

A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi

Dissertations

Quality of Life (QoL) has become a central concern in urban planning and sustainable development, particularly in rapidly transforming contexts such as the United Arab Emirates. This dissertation proposes and empirically validates a comprehensive framework for assessing urban QoL, with a focused application to the Emirate of Ras Al Khaimah. A mixed-methods approach integrates objective indicators and residents' subjective perceptions, aligned with national strategies including UAE Vision 2030, the National Strategy for Wellbeing 2031, and UAE Centennial 2071.

The methodology combines Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and statistical analyses to evaluate seven key sectors: environment, infrastructure …

Wherefore Art Thou Competitors? How Situational Affordances Help Differentiate Among Prosocials, Individualists, And Competitors, Y. Liu, A.W. Stivers, R.O. Murphy, N.J. Van Doesum, J. Joireman, M. Gallucci, E. Aharonov-Majar, U. Athenstaedt, L. Bai, R. Böhm, N.R. Buchan, X.-P. Chen, K.B. Dumont, J.B. Engelmann, Li, Norman P., H. Euh, S. Fiedler, J. Friesen, S. Gächter, C. Garcia

Research Collection School of Social Sciences

The Triple Dominance Measure (choosing between prosocial, individualistic, and competitive options) and the Slider Measure (“sliding” between various orientations, for example, from individualistic to prosocial) are two widely used techniques to measure social value orientation, that is, the weight individuals assign to own and others’ outcomes in interdependent situations. Surprisingly, there is only moderate correspondence between these measures, but it is unclear why and what the implications are for identifying individual differences in social value orientation. Using a dataset of 8021 participants from 31 countries and regions, this study revealed that the Slider Measure identified fewer competitors than the Triple …

Artificial Intelligence, Fundamental Motives, And Evolutionary Mismatch, Amy J. Lim, Jose. C. Yong, Edison Sora Tan

Research Collection School of Social Sciences

In recent years, the intersection of artificial intelligence (AI) and psychology has garnered unprecedented attention, particularly following the advent of generative AI tools in 2022. These tools, capable of producing human-like text, images, and even deepening our understanding of cognitive processes, have not only captured the public imagination but also sparked new concerns and debates within the psychological community. While AI has been a subject of research for decades, the emergence of its generative capabilities has truly thrust AI into the spotlight. This article explores how these advancements are reshaping our understanding of human cognition and behavior, as well as …

Ultrafast Vibrational Dynamics In Important Wide-Bandgap Semiconductors, Dielectrics And Energetic Materials, Dinusha Madushanka Senarathna

Open Access Dissertations

This dissertation applies time-resolved coherent anti-Stokes Raman scattering (tr-CARS), to measure ultrafast vibrational dynamics in technologically important solid-state and van der Waals molecular systems. The central goal is to use time-domain Raman methods to resolve mode-specific phonon and vibrational dephasing processes with high temporal precision, high spectral selectivity, and sufficient experimental flexibility to probe materials ranging from wide-bandgap semiconductors and oxide crystals to energetic molecular crystals. Across the work, I show that carefully designed tr-CARS measurements can access vibrational lifetimes from hundreds of femtoseconds to several picoseconds, enabling direct observation of decay pathways, relaxation mechanisms, and dispersion effects that shape …

Challenges And Best Practices For The Development Of Coastal Hazard Decision Support Tools, Noah Hallisey

Open Access Dissertations

There is growing interest in developing Decision Support Tools (DSTs) supporting emergency managers and other decision-makers during coastal storm events. Yet many tools fail to inform decision-making due to challenges associated with their development and transition into operational tools for real-time decision-making. This dissertation investigates these challenges and offers best practices for their development and implementation for real-world decision-making through a literature review, interviews with subject matter experts in the United States, and a real-world case study.

Manuscript 1 reviews existing published literature to understand whether and how tool developers are incorporating emergency managers in the development of DSTs and …

Assessing Fisheries Dependence Of Coastal Communities In Managed Mangrove Forests In Latin America, Ariel Alexander Quintanilla Magana

Open Access Dissertations

Fisheries dependency refers to the action of a person, community, or society linking their social, cultural, and economic actions to different ecosystem services (ES) for covering their food system with essential marine species, developing a governance system to conserve these fishing areas, their local ecological knowledge, and guaranteeing food security in the coastal areas. In Latin America, most fishing activities are practiced within three nautical miles of the shoreline, estuaries, lagoons, and mangrove forest channels, using small vessels and traditional gear such as hooks, trammel nets, and gill nets. Some coastal communities have developed their subsistence and livelihood activities in …

Compositional And Functional Shifts In Fish Community Structure In Response To Low-Head Dam Removals, Joshua D. Bruegge

Masters Theses

Low-head dams serve as intermittent barriers to aquatic connectivity and directly alter both upstream and downstream habitats and biotic communities. In 2018 and 2019, two low-head dams in the Vermilion River watershed of eastern Illinois were removed, reconnecting over 1,700 kilometers of upstream habitat within the basin. To determine the impacts of these dam removals, fish community surveys were conducted at 12 fixed sites across three reaches in two rivers from 2012-2022. This study assessed reach-specific temporal responses of the fish community and habitat characteristics. I linked trait expressions within the fish community to abiotic variables using the co-inertia RLQ …

The Role Of International Student Office Directors In Facilitating The Transitional Adjustment Of International Students In U.S Higher Education, Agnes Afi Yigah

Masters Theses

This qualitative study explored how International Student Office Directors facilitate the transitional adjustment of international students in U.S. higher education institutions. Guided by Schlossberg’s Transition Theory (1981) and Schlossberg’s Mattering and Marginality Theory (1989), this study examined the challenges international students face, the support strategies implemented by International Student Office Directors, and the institutional factors influencing student adjustment and well-being. International students experience challenges related to housing and logistical adjustment, financial and immigration-related stressors, academic system adjustment and self-advocacy, and social integration and emotional adjustment. Proactive and holistic support approaches, including pre-arrival communication, orientation programs, academic support, emotional support, and …

Artificial Light At Night Extends Pollen Season And Elevates Allergen Exposure, Brandt Geist, Lin Meng, Daniel S W Katz, Huidong Li, Franz Hölker, Qian Xiao

Faculty, Staff and Student Publications

Artificial light at night (ALAN), a growing environmental stressor in urban ecosystems, disrupts natural light-dark cycles and alters plant phenological events such as leaf-out and flowering. However, the extent to which ALAN influences airborne pollen season timing and exacerbates allergy-related health risks remains largely understudied. This study investigates how ALAN influences the timing and duration of the airborne pollen season across the Northeastern United States from 2012 to 2023 and the consequences of allergenic pollen exposure. Using daily pollen concentrations from the National Allergy Bureau, ALAN data from the Visible Infrared Imaging Radiometer Suite product, and gridded Daymet climate data, …

Carbon Nanotube/ Thermoplastic Polyurethane (Cnt/Tpu)-Based Triboelectric Nanogenerator With Self-Charge Pumping For Implantable Knee Load Sensing And Energy Harvesting, Osama Abdalla, Maryam Hosseini, Milad Azami, Amir Ameli, Emre Salman, Milutin Stanacevic, Ryan Willing, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

Aseptic loosening and joint instability remain the primary modes of failure in total knee arthroplasty (TKA). To provide real-time biomechanical load monitoring, this study presents a triboelectric nanogenerator (TENG) utilizing a carbon nanotube/foamed thermoplastic polyurethane (CNT/TPU) composite dielectric layer paired with a Kapton tape between dual electrodes. By leveraging the triboelectric effect, the device functions simultaneously as an energy harvester and a self-powered load sensor. To overcome power density limitations, a self-charge pumping mechanism via a multi-stage voltage multiplier circuit (VMC) was integrated and evaluated under physiological cyclic loading (2100 N at 1 Hz). The system’s charge dynamics were further …

Eco-Friendly Solvent-Based Fabrication Of Single-Layer And Polydopamine-Modified Bilayer Pvdf-Hfp Membranes, Eesh M. Kulshrestha

Theses and Dissertations--Chemical and Materials Engineering

The growing global demand for clean drinking water has intensified the need for advanced water treatment technologies capable of efficiently removing contaminants while maintaining environmental sustainability. Polymeric membrane systems have emerged as an effective approach for water separations due to their high separation efficiency, simplicity, and adaptability to a wide range of water treatment applications. However, traditional membrane fabrication processes often rely on toxic organic solvents, such as N-methyl-2-pyrrolidone (NMP) and diemethylacetamide (DMAc), which pose environmental and health risks. These concerns have led to an increase in regulatory restrictions, primarily through the Registration, Evaluation, Authorisation, and Restriction of Chemicals (REACH) …

Investigation Of Succinylated Zwitterionic Polyethylenimine/Dna Complexes: Performance In Serum, Internalization, And Intracellular Fate, Levi Lampe

Theses and Dissertations--Chemical and Materials Engineering

Gene therapy has promised to revolutionize medicine since the earliest clinical trials, but a lack of delivery methods that are both safe and efficient has hampered progress. Gene therapy with viral vectors is effective at delivering nucleic acids to cells, but is associated with dangerous immunogenic responses and cancer-causing insertions into the genome. Viral vectors are also among the most prohibitively costly therapeutics in medicine. Polymeric vectors avoid these dangers and are made from inexpensive, off-the- shelf materials, but have been hindered by poor efficiency compared to viral vectors.

A benchmark polymer for in vitro nucleic acid delivery has been …