Physical Sciences and Mathematics Commons^™

Lasa: Location-Aware Scheduling Algorithm In Industrial Iot Networks With Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

The Synchronized Single-hop Multiple Gateway (SHMG) is a framework recently proposed to support mobility into 6TiSCH, the standard network architecture defined for Industrial Internet of Things (IIoT) deployments. SHMG supports industrial applications with stringent requirements by adopting the Shared-Downstream Dedicated-Upstream (SD-DU) scheduling policy, which allocates to Mobile Nodes (MNs) a set of dedicated transmission opportunities for uplink data. Such allocation is performed on all the Border Routers (BRs) of the network without considering the location of MNs. Transmission opportunities are reserved also in BRs far from the current location of the MN, resulting in a waste of resources that limits …

Reward Maximization For Disaster Zone Monitoring With Heterogeneous Uavs, Wenzheng Xu, Chengxi Wang, Hongbin Xie, Weifa Liang, Haipeng Dai, Zichuan Xu, Ziming Wang, Bing Guo, Sajal K. Das

Computer Science Faculty Research & Creative Works

In this paper, we study the deployment of $K$ heterogeneous UAVs to monitor Points of Interest (PoIs) in a disaster zone, where a PoI may represent a school building or an office building, in which people are trapped. A UAV can take images/videos of PoIs and send its collected information back to a nearby rescue station for decision-making. Unlike most existing studies that focused on only homogeneous UAVs, we here study the scheduling of $K$ heterogeneous UAVs, where different UAVs have different energy capacities and functionalities that lead to different monitoring qualities (monitoring rewards) of each PoI. For example, one …

Q-Learning For Sum-Throughput Optimization In Wireless Visible-Light Uav Networks, Yuwei Long, Nan Cen

Computer Science Faculty Research & Creative Works

Unmanned Aerial Vehicles (UAVs) Have Been Adopted as Aerial Base Stations (ABSs) to Provide Wireless Connectivity to Ground Users in Events of Increased Network Demand, and Points-Of-Failure Infrastructure (Such as in Disasters). However, with the Existing Crowded Radio Frequency (RF) Spectrum, UAV ABSs Cannot Provide High-Data-Rate Communication Required in 5G and beyond. to Address This Challenge, Visible Light Communication (VLC) is Proposed to Be Equipped on UAVs to Take Advantage of the Flexible and On-Demand Deployment Feature of the UAV, and the High-Data-Rate Communication of the VLC. However, VLC Has Strong Alignment Requirements between Transceivers, Therefore, How to Determine the …

The Generalized Lyapunov Function As Ao’S Potential Function: Existence In Dimensions 1 And 2, Haoyu Wang, Wenqing Hu, Xiaoliang Gan, Ping Ao

Mathematics and Statistics Faculty Research & Creative Works

By using Ao's decomposition for stochastic dynamical systems, a new notion of potential function has been introduced by Ao and his collabora-tors recently. We show that this potential function agrees with the generalized Lyapunov function of the deterministic part of the stochastic dynamical sys-tem. We further prove the existence of Ao's potential function in dimensions 1 and 2 via the solution theory of first-order partial differential equations. Our framework reveals the equivalence between Ao's potential function and Lyapunov function, the latter being one of the most significant central notions in dynamical systems. Using this equivalence, our existence proof can also …

Three Solutions For Discrete Anisotropic Kirchhoff-Type Problems, Martin Bohner, Giuseppe Caristi, Ahmad Ghobadi, Shapour Heidarkhani

Mathematics and Statistics Faculty Research & Creative Works

In this article, using critical point theory and variational methods, we investigate the existence of at least three solutions for a class of double eigenvalue discrete anisotropic Kirchhoff-type problems. An example is presented to demonstrate the applicability of our main theoretical findings.

Machine Learning-Based Approaches For Predicting The Critical Temperature Of Superconductor, Pradip Dhakal

Data Science and Data Mining

This paper focuses on utilizing multiple linear regression, lasso regression, and extreme gradient boosting algorithms to predict the critical temperature of the superconductor. The model will be evaluated using the mean square error and adjusted R-squared values, and the best model will be recommended for future work related to this study.

Predicting Heart Disease Using Tree-Based Model, Emil Agbemade

Data Science and Data Mining

The paper presents a study on the use of machine learning algorithms for the prediction of heart disease, which is the leading cause of death worldwide. The study focuses on the use of decision tree algorithms, which have the advantage of considering a large number of risk factors. The heart disease data set was obtained from the UCI Machine Learning Repository and was analyzed using a decision tree classifier. The data set had 6 missing data points, which were deleted, leaving 279 instances for analysis. One-hot-encoding was performed on categorical variables with more than two responses. The decision tree classifier …

Silent Agony: Automated Detection Of Ethnic And Religious Cyberbullying Using Machine Learning, Emil Agbemade

Data Science and Data Mining

The use of electronic mobile devices, social media, and networking websites has increased tremendously in recent years. Despite the advantages of these systems, such as exchanging ideas and information, being sociable, and providing entertainment, users may encounter adverse behaviors like toxicity, bullying, extremism, and cruelty. The prevalence of such behaviors has grown significantly in cyberspace, posing a threat to individuals and communities. To address this issue, there is a high demand for automated cyberbullying detection systems. Machine learning algorithms have been widely used to build such systems by classifying and detecting cyberbullying. In this study, we employed popular machine learning …

Analyzing The Impact Of Health, Economic, And Demographic Factors On Life Expectancy: A Comparative Study Of Developed And Developing Countries, Mahyar Alinejad

Data Science and Data Mining

This study presents a comprehensive analysis of three prominent machine learning regression models—Random Forest, XGBoost, and Support Vector Machine (SVM)—in the context of predictive analysis. Leveraging a carefully curated dataset, we explore the impact of various hyperparameters on model performance through an exhaustive tuning process. The Random Forest and XGBoost models exhibit robust predictive capabilities, with the former revealing notable insights through feature importance visualization. Additionally, SVM, optimized via GridSearchCV, demonstrates competitive performance. Evaluation metrics, including Mean Squared Error and R-squared, facilitate a thorough comparison of model efficacy. Results highlight nuanced strengths and weaknesses, informing practitioners on the suitability of …

Using Catalysis To Control The Morphology And Stiffness Of Shape Memory Poly(Isocyanurate-Urethane) (Pir-Pur) Aerogels, A. B.M. Shaheen Ud Doulah, Chandana Mandal, Hojat Majedi Far, Vaibhav A. Edlabadkar, Rushi U. Soni, Stephen Y. Owusu, Nicholas Leventis, Chariklia Sotiriou-Leventis

Chemistry Faculty Research & Creative Works

A large array of anhydrous metal ions were tested as catalysts in the preparation of shape memory poly(isocyanurate-urethane) (PIR-PUR) aerogels from the reaction of 1,3,5-tris(6-isocyanatohexyl)-1,3,5-triazinane-2,4,6-trione (Desmodur N3300A: a well-known isocyanurate-based aliphatic triisocyanate) and triethylene glycol (TEG) in anhydrous acetonitrile. The reaction yielded wet gels that were dried into aerogels in an autoclave with supercritical fluid CO2. The catalytic activity was mostly identified among CH3CN-soluble salts (mainly chlorides) of third-row d-block elements from iron to zinc, group 13 elements from aluminum to thallium, as well as cadmium, bismuth, and tin. Tin (119Sn) NMR indicated that the metal ion complexes with TEG, …

Rovibrational States Calculations Of The H2o-Hcn Heterodimer With The Multiconfiguration Time Dependent Hartree Method, Hervé Tajouo Tela, Ernesto Quintas-Sánchez, Marie Lise Dubernet, Yohann Scribano, Richard Dawes, Fabien Gatti, Steve Ndengué

Chemistry Faculty Research & Creative Works

Water and hydrogen cyanide are two of the most common species in space and the atmosphere with the ability of binding to form dimers such as H₂O-HCN. In the literature, while calculations characterizing various properties of the H₂O-HCN cluster (equilibrium distance, vibrational frequencies and rotational constants) have been done in the past, extensive calculations of the rovibrational states of this system using a reliable quantum dynamical approach have yet to be reported. In this work, we intend to mend that by performing the first calculation of the rovibrational states of the H₂O-HCN van der …

Nmr Study Of Co2 Capture By Butylamine And Oligopeptide Kdde In Aqueous Solution: Capture Efficiency And Gibbs Free Energy Of The Capture Reaction As A Function Of Ph**, Kaidi Yang, Joseph Schell, Fabio Gallazzi, Wei Wycoff, Rainer Glaser

Chemistry Faculty Research & Creative Works

We Have Been Interested in the Development of Rubisco-Based Biomimetic Systems for Reversible CO₂ Capture from Air. Our Design of the Chemical CO₂ Capture and Release (CCR) System is Informed by the Understanding of the Binding of the Activator CO₂ (^ACO₂) in Rubisco (Ribulose-1,5-Bisphosphate Carboxylase/oxygenase). the Active Site Consists of the Tetrapeptide Sequence Lys-Asp-Asp-Glu (Or KDDE) and the Lys Sidechain Amine is Responsible for the CO₂ Capture Reaction. We Are Studying the Structural Chemistry and the Thermodynamics of CO₂ Capture based on the Tetrapeptide CH₃CO−KDDE−NH₂ ("KDDE") in Aqueous …

Probability Distribution Of Sars-Cov-2 (Covid) Infectivity Following Onset Of Symptoms: Analysis From First Principles, Mark P. Silverman

Faculty Scholarship

The phasing out of protective measures by governments and public health agencies, despite continued seriousness of the coronavirus pandemic, leaves individuals who are concerned for their health with two basic options over which they have control: 1) minimize risk of infection by being vaccinated and by wearing a face mask when appropriate, and 2) minimize risk of transmission upon infection by self-isolating. For the latter to be effective, it is essential to have an accurate sense of the probability of infectivity as a function of time following the onset of symptoms. Epidemiological considerations suggest that the period of infectivity follows …

Fundraiser, Christopher Shivers

All Capstone Projects

Using the Fund Raiser, a web tool, event administrators and organizers may raise money from a variety of sources for various events they have listed. Therefore, a fund-raising effort might be used to develop various types of campaigns, gather money, and compile a list of contributors who made contributions in a visible timeline.

Finance plays a crucial part in everything from effectively arranging an event to giving financial relief to those who have been affected by various natural disasters. Therefore, Fund Raiser may serve as a facilitator for effectively generating money for various campaigns and support activities to promote and …

การเปรียบเทียบขั้นตอนวิธีการเรียนรู้ของเครื่องและโครงข่ายประสาทเทียมสำหรับการตรวจคะแนนเรียงความภาษาไทยอัตโนมัติ, สุทธิชาย สุริยสัตย์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ตัวแทนนักเรียนไทยได้คะแนนการประเมินด้านการอ่านค่อนข้างตํ่า ในการสอบประเมินสมรรถนะนักเรียนมาตรฐานสากล (Programme for International Student Assessment PISA) หลายงานวิจัยพบว่าทักษะด้านการอ่านสามารถถูกพัฒนาผ่านการเขียนเช่น การเขียนเรียงความได้ แต่การตรวจเรียงความนั้นใช้เวลาค่อนข้างนาน ระบบการตรวจคะแนนเรียงความโดยอัตโนมัติได้ถูกพัฒนาขึ้นเพื่อช่วยเหลือผู้ตรวจเรียงความ อีกทั้งยังสามารถแสดงผลการทำนายคะแนนให้กับผู้เขียนเรียงความได้ทันทีด้วย เนื่องจากงานวิจัยด้านการตรวจคะแนนเรียงความภาษาไทยโดยอัตโนมัติมีน้อยมาก งานวิจัยนี้จึงมุ่งเน้นไปที่การเปรียบเทียบแบบจำลองการให้คะแนนภาษาไทยโดยอัตโนมัติ ที่ใช้แบบจำลองการเรียนรู้ของเครื่องและการเรียนรู้เชิงลึก ที่ได้ถูกรายงานว่ามีประสิทธิภาพที่ดีในการทำนายคะแนนเรียงในความภาษาอังกฤษ งานวิจัยนี้พบว่าแบบจำลอง XGBoost มีประสิทธิภาพดีที่สุดในหลายสถานการณ์ที่ถูกพิจารณา และ แบบจำลองหน่วยความจำระยะสั้นแบบยาวที่ใช้ฟีเจอร์ที่สกัดจากข้อความโดยอัตโนมัติ มีประสิทธิภาพดีที่สุดในกลุ่มแบบจำลองการเรียนรู้เชิงลึก

Depression Classification On Privacy Protected Facial Features Data, Yanisa Mahayossanunt

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents depression classification on privacy protected facial features data. Fast depression classification to help patients receive proper treatment is a method that can prevent the damage of depression. However, fast and effective depression classification is difficult because medical personnel are adequate and the time to analyze depression is long per patient. Applied artificial intelligence in the medical field can help reduce the workload of medical personnel. It is also difficult because of privacy protection. Therefore, we utilize extracted facial features from facial expressions in clinical interview videos to develop a machine learning model. The model utilizes LSTM, attention …

เครื่องสร้างปริภูมิสถานะสำหรับโมเดลเช็กกิงแบบแอลทีแอลโดยใช้แอลเอสทีเอ็มที่มีการจำแนกแบบหลายป้าย, ชลิกา ศักดิ์สุภาวัฒนกุล

Chulalongkorn University Theses and Dissertations (Chula ETD)

กระบวนการทวนสอบเชิงรูปนัยเป็นสิ่งที่สำคัญในการตรวจสอบความปลอดภัย ความดำเนินชีวิตและความสัมพันธ์ของระบบซอฟต์แวร์ตั้งแต่เริ่มต้นออกแบบซอฟต์แวร์ ซึ่งสามารถช่วยให้ลดความพยายามในการพัฒนาอย่างเห็นได้ชัด โมเดลเช็กกิงเป็นวิธีการเชิงรูปนัยอย่างหนึ่งที่สามารถทวนสอบระบบซอฟต์แวร์ตามคุณสมบัติเชิงพฤติกรรมที่เขียนเป็นสูตรตรรกศาสตร์เชิงเวลาแบบลำดับหรือเรียกว่าสูตรแอลทีแอล โดยใช้วิธีการสำรวจเส้นทางดำเนินงานที่เป็นไปได้ทั้งหมดอย่างละเอียดถี่ถ้วนในปริภูมิสถานะของระบบซอฟต์แวร์และกำหนดว่าเส้นทางดำเนินงานทั้งหมดของระบบเป็นไปตามคุณสมบัติที่เขียนโดยใช้สูตรแอลทีแอลหรือไม่ อย่างไรก็ตาม ระบบที่มีขนาดใหญ่และมีความซับซ้อนอาจทำให้เกิดการระเบิดของปริภูมิสถานะในการทำโมเดลเช็กกิงได้ ซึ่งมีการเสนอวิธีการลดพื้นที่ของปริภูมิสถานะหลายวิธีและแม้แต่วิธีการของแมชชีนเลิร์นนิงก็ถูกนำมาใช้เพื่อทำนายผลลัพธ์ความพึงพอใจของคุณสมบัติแอลทีแอลของระบบซอฟต์แวร์ เมื่อพิจารณาถึงความสำเร็จในการฝึกอบรมโครงข่ายความจำระยะสั้นแบบยาวหรือแอลเอสทีเอ็มสำหรับการทำนายลำดับข้อมูลอนุกรมเวลาแบบยาว ในวิทยานิพนธ์นี้ ได้เสนอแนวคิดแอลเอสทีเอ็มที่ขยายการจำแนกแบบหลายป้ายและกลยุทธ์การหาขีดแบ่งเพื่อบรรเทาปัญหาการระเบิดของปริภูมิสถานะและสร้างเป็นเครื่องสร้างปริภูมิสถานะสำหรับสร้างเส้นทางดำเนินงานของระบบซอฟต์แวร์ได้ตามที่ต้องการ โดย ได้สร้างเครื่องมือในการทวนสอบคุณสมบัติพื้นฐานของระบบซอฟต์แวร์ ได้แก่ คุณสมบัติด้านความปลอดภัย ด้านความดำเนินชีวิตและด้านความสัมพันธ์ ด้วยเทคนิคออน-เดอะ-ฟลาย

การเตรียมและลักษณะเฉพาะของแวกซ์เอสเทอร์จากกรดปาลมิติก, ณัฐกมล ดีมูลมั่ง

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มุ่งเน้นการสังเคราะห์แวกซ์ปาลมิติกผ่านปฏิกิริยารีดักชันและปฏิกิริยาเอสเทอริฟิเคชัน ปฏิกิริยารีดักชันเป็นการเปลี่ยนกรดปาลมิติกเป็นปาลมิติกแอลกอฮอล์ ตัวแปรของการศึกษานี้คือปริมาณของตัวเร่งปฏิกิริยาและเวลา ภาวะที่เหมาะสมในการทำปฏิกิริยาคือ ปริมาณของตัวเร่งปฏิกิริยา 2.66%w/w และเวลา 24 ชั่วโมง เนื่องจากผลิตภัณฑ์ที่ได้เป็นของผสมระหว่างผลิตภัณฑ์ปาลมิติกแอลกอฮอล์และกรดปาลมิติกส่วนเกิน จึงมีการสกัดแยกด้วยตัวทำละลาย เช่น เมทานอล เอทานอล ไอโซ-โพรพานอล เมทิลเอทิลคีโตน และไดเมทิลฟอร์มาไมด์ เพื่อแยกกรดปาลมิติกและผลิตภัณฑ์ปาลมิติกแอลกอฮอล์ จากนั้นทำปฏิกิริยาเอสเทอริฟิเคชันเพื่อสังเคราะห์แวกซ์เอสเทอร์ที่ได้จากกรดปาลมิติกและปาลมิติกแอลกอฮอล์ พบว่าแวกซ์ปาลมิติกสังเคราะห์จากปาลมิติกแอลกอฮอล์ได้สำเร็จ (อัตราส่วนระหว่าง CA/ตัวทำละลายเป็น 1:2) คือ W-CA-MeOH2, W-CA-EtOH2 และ W-CA-MEK2 ให้ร้อยละผลได้ของแวกซ์ปาลมิติกเอสเทอร์สูงที่ 48.1, 71.0 และ 56.7% ตามลำดับ สมบัติทางกายภาพและทางเคมีของแวกซ์ปาลมิติกศึกษาด้วยการวิเคราะห์ FTIR, XRD, NMR, DSC และ TGA แวกซ์ปาลมิติก W-CA-EtOH2 ซึ่งเป็นสารเคลือบกระดาษมีค่าความไม่ชอบน้ำยิ่งยวดสูงด้วยค่ามุมสัมผัส 161.4 องศา นอกจากนี้การเคลือบ W-CA-EtOH2 มีความต้านทานน้ำสูงโดยมีการดูดซึมน้ำต่ำที่ 0.43 ผลของการศึกษานี้บ่งบอกกระดาษที่เคลือบด้วยแวกซ์ปาลมิติกมีประสิทธิภาพความทนน้ำเพิ่มขึ้นเมื่อเทียบกับกระดาษที่ไม่คลือบ

Relationships Between Deformation, Magmatism, And Sedimentary Geology Along The Mongol-Okhotsk Suture Zone: Ulz Gol Region, Mongolia, Jarret William Pidgeon

Graduate College Dissertations and Theses

The Mongol-Okhotsk Suture Zone (MOSZ) is a continental-scale structure that signifies the closure of a Paleozoic ocean basin. Though suturing of the Siberian Craton and southern Mongolian terranes is thought to have occurred in the Mesozoic Era, the exact timing and mechanisms remain debated. This prolonged period of orogenic activity is believed to be responsible for forming much of the Central Asian Orogenic Belt (CAOB) that encompasses essentially all of Mongolia, part of China, Siberia, and Kazakhstan. Also permeated throughout the CAOB are intra-continental, post-suturing structures. In the Late Jurassic–Early Cretaceous, a significant, crustal-scale extensional episode affected central and eastern …

Applications Of Bayesian Hierarchical Detection Models, Emily Beasley

Graduate College Dissertations and Theses

Bayesian hierarchical detection models are useful for addressing uncertainty in datasets in the form of detection error and can be adapted to a variety of research questions. This dissertation uses three case studies to highlight advantages of Bayesian hierarchical detection models: 1) using prior information to model undetected species, 2) efficiently modeling a naturally hierarchical system, and 3) correcting for observation bias in two interconnected ecological metrics for effective disease management.Detection error can bias ecological observations, especially when a species is never detected during sampling. In many communities, the probable identity of these species is known from previous research, but …

Weathering Gradients In Podzols Of The Northeastern U.S., Jenny Bower

Graduate College Dissertations and Theses

Soil formation has long been framed as a vertical process because of the historical emphasis on agricultural areas, which tend to be low relief. This framing fails in areas where steep topography, a restrictive soil horizon, or shallow bedrock leads to lateral flow. In the glaciated Northeast, lateral podzolization is the dominant process forming shallow-bedrock soils on hillslope summits and shoulders, in contrast to deeper soils on backslopes that are influenced by vertical podzolization. These patterns are accompanied by gradients in hydrologic regime and solution chemistry which imply the existence of mineral weathering gradients. This work aimed to understand weathering …

Use Of Machine Learning Methods In Automatic Assessment Programming Assignments, Botond Tarcsay

Masters

Programming has become an important skill in today’s world and is taught widely both in traditional settings and online. Instructors need to assess increasing amounts of student work. Unit testing can contribute to the automation of the grading process; however, it cannot assess the structures, style and partially correct source code or differentiate between levels of achievement. The topic of this thesis is an investigation into the use of machine learning methods for assessing the correctness and quality of code, with the ultimate goal of assisting instructors in the grading process. In this research, we have used nine different machine …

Application Of The Fine Sediment Biotic Index To Three Drain Tiled And Ditched Agricultural Systems In Southern Minnesota, Bailey Sanders

All Graduate Theses, Dissertations, and Other Capstone Projects

Artificial drainage is a common agricultural management technique in the United States used to remove excess water from poorly drained soils. Approximately 22.48 million hectares of crop land are drain-tiled in the United States, providing long-term economic benefits to farmers. However, artificial drainage increases sediment transport in agricultural watersheds, which can degrade aquatic systems, destroy habitats, and limit biological diversity. Biotic indices based on benthic macroinvertebrates are commonly used to assess surface water quality, but recent studies show potential in developing sediment biotic indices using benthic macroinvertebrates to estimate fine sediment in streams. The objective of this study was to …

Effect Of Decorating Super Paramagnetic Iron Oxide Nanoparticles With Silver Nanoparticles On Their Magneto-Photo Thermal Heating Efficiency, Anthony Joseph Afful

All Graduate Theses, Dissertations, and Other Capstone Projects

Cancer treatment is rather dangerous to the body, often involving many secondary effects, including nausea, hair loss, and weight fluctuations. The search for non-invasive, highly efficient, and targetable treatments ameliorates these issues. Super paramagnetic iron oxide nanoparticles (SPIONS) have been used for other medical purposes such as magnetic resonance imaging contrast agent and is being extensively studied as a potential candidate for many cancer therapeutic and diagnostic approaches due to its biocompatibility and superior magnetic properties. When subjected to an external alternating magnetic field SPIONS generate heat mainly due to the friction of the SPIONS against the fluid it is …

Breakwater: Anti-Blackness In Geoscience Lessons From Long Beach, Ca, Christina Marsh

Pomona Senior Theses

Breakwaters are more than just physical structures that protect against storm surges and in the context of Long Beach, CA, my hometown, they are actualizations of economic, social, environmental, geologic, and policy challenges. Inspired by Trace: Memory, History, Race, and the American Landscape by Lauret Savoy, and Teaching to Transgress by bell hooks, I use an extended metaphor and autoethnographic approach to connect a chronology of my educational life to the physical structure of a breakwater. Where the breakwater also acts as a signifier of my personal experiences of seeing it, questioning its purpose, and not always finding an answer. …

A Workshop On Using Nasa Airs Data To Monitor Drought For The U.S. Drought Monitor, Alireza Farahmand,, Sharon Ray, Heidar Thrastarson, Stephen Licata, Stephanie Granger, Brian Fuchs

Drought Mitigation Center: Faculty Publications

Recent studies indicate that drought indicators based on near-surface air relative humidity (RH), air temperature (T), and air vapor pressure deficit (VPD), derived from the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA’s Aqua satellite can detect the onset of drought earlier than other drought indicators, specifically standardized precipitation index (SPI), which is widely used for drought onset detection. A recent study showed that standardized relative humidity index (SRHI) can detect drought signals earlier than SPI (Farahmand et al. 2015). Relative humidity is a climate variable defined as the ratio of air vapor pressure to saturated vapor pressure. Precipitation and relative …

Trust And Subjective Knowledge Influence Perceived Risk Of Lead Exposure, Madeline Goebel, Chloe B. Wardropper

Drought Mitigation Center: Faculty Publications

Lead exposure is a persistent environmental hazard that poses risks to human health. But motivating protective action is challenging with this low visibility hazard whose health effects are often subtle and chronic. Higher risk perception is generally associated with taking protective measures, so public health efforts prioritize risk messaging. Yet, little is known about perceptions of lead exposure risk among the U.S. public. Using cross-sectional data from a national survey of 1035 U.S. residents, we measured the role of trust in government management of lead and subjective knowledge about lead as predictors of perceived risk of lead exposure, controlling for …

A Method For Successful Collection Of Multicores And Gravity Cores From Antarctic Subglacial Lakes, Brad E. Rosenheim, Alexander B. Michaud, James Broda, Alan Gagnon, Ryan A. Venturelli, Timothy D. Campbell, Amy Leventer, Molly Patterson, Matthew J. Siegfried, Brent C. Christner, Dennis Duling, David M. Harwood, John E. Dore, Martyn Tranter, Mark L. Skidmore, John C. Priscu, Salsa Science Team

Department of Earth and Atmospheric Sciences: Faculty Publications

During the 2018–2019 Antarctic field season, the Subglacial Antarctic Lakes Scientific Access project team cleanly accessed Mercer Subglacial Lake, West Antarctica, to sample water and sediments beneath 1087 m of overlying ice. A multicorer was successful in sampling the sediment–water interface, with 4 deployments retrieving 10 cores between 0.3 and 0.4 m in length. Gravity coring was also successful, retrieving cores of 0.97 and 1.78 m in glacial diamict. However, sediment cores retrieved by the gravity cores were shorter than the core barrel penetration (as measured by mud streaks on the outside of the coring system), indicating that the system …

Comparative Analysis Of Gas Versus Electric Demand In Tiny House Communities For The Homeless, Christopher D. Beveridge

Cal Poly Humboldt theses and projects

Housing insecurity affects many communities. Because they can provide private and dignified spaces for living at low cost, tiny houses have become prominent in discussion about affordable housing. This project assesses whether electric or natural gas space heating provides the most cost-effective option for a tiny house in Arcata, California. Drawing from a comparative analysis between two tiny house communities for the homeless (THCHs), Home Yard Cottages in Spokane, Washington and Opportunity Village in Eugene, Oregon, this project offers recommendations for the eventual development of a THCH in Arcata. Comparison of energy bills from the THCHs with historical weather data …

Long Island Horseshoe Crab Network Annual Inventory Report, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

CERCOM conducts monitoring of 111 beach locations spanning from Brooklyn to Montauk during the optimal breeding season of Limulus polyphemus. These surveys span approximately 15 weeks, commencing in May and concluding in August. Each beach location is meticulously marked with GPS coordinates to ensure consistent annual revisitation. Participation in these surveys necessitates attendance at an HSC Survey training orientation, led by Mr. Key Maurelli, CERCOM's research assistant.