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Potassium For High Rainfall Pastures In Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Potassium (K) deficiency can lead to a decline in clover content and severely limit pasture productivity in high rainfall pastures. Large amounts of potassium can be lost each year through leaching and removal of potassium in hay or silage.

This information is specific to high rainfall pastures receiving more than 600mm average annual rainfall in the south-west of Western Australia.

Tissue Sampling And Analysis For High Rainfall Pastures In Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Tissue testing helps identify nutrient deficiencies that impact plant health. In high rainfall areas ( > 600 mm), pastures are highly productive and have greater demand for both macro- and micronutrients. Micronutrient status is best assessed through plant tissue, as soil levels are difficult to measure accurately.

The Department of Primary Industries and Regional Development recommends tissue testing to assess the effectiveness of fertiliser and soil testing programs, and diagnose emerging macronutrient and micronutrient deficiencies that could cause production losses.

Sulfur For High Rainfall Pastures In Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Sulfur deficiency can substantially reduce pasture yield on sandy soils, particularly in wet years where the sulfate form of sulfur leaches below the root zone of pasture plants, making it unavailable.

This information applies specifically to high rainfall pastures (over 600mm average annual rainfall) in the south-west of Western Australia.

The Department of Primary Industries and Regional Development recommends basing fertiliser decisions on good evidence (soil and tissue test results)

Soil Sampling High Rainfall Pastures In Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Soil sampling and testing is an essential part of making good fertiliser decisions. Fertilisers are a large cost to farming pastures in high rainfall areas. This page is specific to sampling high rainfall pastures (more than 600mm average annual rainfall) in the south-west of Western Australia.

The Department of Primary Industries and Regional Development recommends soil sampling and testing as part of a plant nutrient management program.

Environmental Impact Of Nitrogen And Phosphorus Fertilisers In High Rainfall Pasture Areas Of Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

The most commonly used nitrogen and phosphorus fertilisers in the high rainfall (>600mm annual average) south-west of Western Australia can be leached into the groundwater and washed into waterways, resulting in serious environmental and economic damage.

The Department of Primary Industries and Regional Development recommends regular soil testing and consultation with FertCare-accredited advisers to reduce leaching losses and increase profit from added nutrients.

Dosimetric Effect Of Abdominal Compression In Online Adaptive Planning For Abdominal Cancers Treated With A 15 Tesla Magnetic Resonance-Guided Linear Accelerator, Moghadaseh Khaleghibizaki, Angela Sobremonte, Luis Perles, Surendra Prajapati, Ergys Subashi, Yao Ding, Kristy Brock, Roya Barati, Eugene Koay, Chad Tang, Jinzhong Yang

Faculty, Staff and Student Publications

Compression belts (CBs) are sometimes used to reduce respiratory motion during stereotactic body radiotherapy of abdominal cancers with magnetic resonance (MR)-guided online adaptive planning. This study evaluated the dosimetric effects of overriding the relative electron density (ED) value of CBs in creating synthetic computed tomography (CT) scans for MR-guided adaptive planning. We evaluated plans for 12 patients with abdominal cancer and identified that ED values between 0.2 and 0.3 achieved the best approximation of CB ED in dose calculation. Our study presented an approach to estimate appropriate ED overrides for CBs in MR-guided online adaptive planning.

Association Between Three-Dimensional Margin Assessment And Local Tumor Control In Percutaneous Lung Cryoablation Of Colorectal Metastases, Frank Mohn, Koustav Pal, Caleb O'Connor, Iwan Paolucci, Austin Castelo, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Bruno C Odisio, Alda Lui Tam, Rahul A Sheth, Kristy K Brock

Faculty, Staff and Student Publications

Purpose

To evaluate the association of two minimum ablation margin (MAM) estimation methods: manual three-dimensional segmentation and biomechanical deformable image registration (DIR) with local tumor progression-free survival (LTPFS) after percutaneous lung cryoablation of colorectal pulmonary metastases.

Materials and Methods

This retrospective single-institution study included patients who underwent percutaneous lung cryoablation between May 2012 and March 2023 (median follow-up, 3.6 years; range, 0.8–9.6 years). Manual three-dimensional MAM was calculated for all tumors, and DIR-based MAM was estimated in a subset with intraprocedural full-thorax imaging. Cox proportional hazards regression assessed associations between MAM and LTPFS. The primary outcome was 2-year LTPFS, with …

Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock

Faculty, Staff and Student Publications

Background: Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient-specific prior scans has shown promise, current approaches typically rely on fixed training durations and lack mechanisms to determine optimal stopping points on a per-patient basis, particularly in the absence of validation labels.

Purpose: We propose an uncertainty-guided test-time optimization (TTO) framework that dynamically adjusts the personalization duration for each patient using a validation-free stopping criterion based on predictive uncertainty.

Methods: Our framework personalizes a generalized segmentation model using patient-specific prior imaging and …

The Effects Of Fitness Self-Testing With Instant Feedback On Changes In Health-Related Fitness Among Chinese Male College Students, Yongshun Wang, Xiaofen D Hamilton, Rulan Shangguan, Anlu Yang, Na Xiao, Chenhao Wu, Sizhe Liu, Ren Yang, Jiren Zhang, Mark F Hamilton

Faculty, Staff and Student Publications

Background: The decline in health-related physical fitness resulting from physical inactivity remains a critical global public health concern. Technology-supported fitness self-testing has the potential not only to improve students' testing experiences but also to enhance their health-related fitness. However, the effectiveness of such approaches has not yet been systematically examined, and their validity within university populations remains largely unestablished.

Method: A quasi-experimental research design with a control group (n = 45) and an experimental group (n = 44), incorporating pre- and post-tests, was employed in this study. The experimental group completed monthly self-testing sessions accompanied by GAI-generated instant feedback over …

A Multidisciplinary Transitional Care Bundle To Reduce Hospital Readmission In Patients With Heart Failure: A Quality Improvement Project, Pearl Zehua Stahler

Doctor of Nursing Practice (DNP) Scholarly Projects

Background: Heart failure (HF) is associated with substantial morbidity, mortality, healthcare utilization, and risk of unplanned hospital readmission. Gaps in structured discharge planning and post-discharge follow-up may contribute to preventable readmissions. Purpose: This quality improvement (QI) project aimed to implement a multidisciplinary transitional care bundle to strengthen care coordination, improve the post-discharge pathway, and reduce unplanned heart failure hospital readmissions (UHFHR). Methods: The project included 20 adults hospitalized with HF in a 56-bed telemetry unit in a South Texas acute care hospital. The eight-week intervention included social determinants of health (SDoH) assessment, nursing-led discharge education, HF clinic follow-up within 14 …

Microalbumin Screening In Hypertension: An Evidence Based Implementation, Nicole C. Votaw

Doctor of Nursing Practice (DNP) Scholarly Projects

Introduction

Microalbuminuria is an early indicator of Chronic Kidney Disease (CKD). Hypertension (HTN) is one of the leading causes of CKD. Early treatment of CKD can delay and even prevent progression to End Stage Renal Disease (ESRD). Monitoring patients with HTN more frequently for microalbuminuria can identify CKD earlier than annual screening so that treatment can be initiated sooner to offer greater protection of the kidneys over time.

Background

In a small, rural clinic, it was determined that Urine Microalbumin (UMA) screening in office was not being done, but has been shown to be beneficial in identifying CKD.  Current practice …

Summoning Firms: Promoting Democratic Stability And Economic Prosperity In Times Of Constitutional Crisis, Jon D. Michaels

Emory Business Law Review

No abstract provided.

Pharmaceutical-Telehealth Confederacies, Michelle Onder, Michael S. Sinha

Emory Business Law Review

Access to prescription pharmaceuticals has historically been controlled by a physician’s pen. As a result, pharmaceutical companies spend billions of dollars on advertising and promotion to mitigate this barrier: first and primarily, to physicians and other prescribers, and more recently, to the general public through direct-to-consumer advertising. The success of these promotional efforts can be seen in the greater prescribing of costly brand-name medicines, even in settings where lower-priced, comparably efficacious generic alternatives exist. Brand-name prescriptions now make up only 10% of all prescriptions written yet account for 88% of drug spending. Despite these substantial returns on investment, companies continue …

Fallen Unicorns, Xuan-Thao Nguyen

Emory Business Law Review

Tech unicorns, from healthcare, teledentistry, space, ecommerce, trucking logistics, pre-owned cars, wearables, design, image search, to home-building sectors, receive effusive praises and secure enviable venture capital investments. Very soon after garnering notoriety, these unicorns die. This Article theorizes why unicorns suddenly collapse shortly after they have achieved the mythical status of being the rare tech startups with valuations of one billion dollars or more. With an in-depth case study of fallen unicorns, the Article identifies and examines the reasons for their tragic deaths, offering a critique of the fear of missing out (FOMO), overfunding, and irrational exuberance investors heaped on …

Unsafe2safe: Controllable Image Anonymization For Downstream Utility, Minh Dinh

Dartmouth College Master’s Theses

Large-scale image datasets frequently contain identifiable or sensitive content, raising privacy risks when training models that may memorize and leak such information. We present Unsafe2Safe, a fully automated pipeline that detects privacy-prone images and rewrites only their sensitive regions using multimodally guided diffusion editing. Unsafe2Safe operates in two stages. Stage 1 uses a vision--language model to (i) inspect images for privacy risks, (ii) generate paired private and public captions that respectively include and omit sensitive attributes, and (iii) prompt a large language model to produce structured, identity-neutral edit instructions conditioned on the public caption. Stage 2 employs instruction-driven diffusion editors …

Anti-Domestic Violence In China: Re-Accessing The Public Value Of Individual Experience, Xiaoran Tang

Dartmouth College Master’s Theses

In December 2019, Kim Lee, a symbolic figure in China’s anti-domestic violence (ADV) movement, publicly stated on the Chinese social media platform Weibo that she forgave her ex-husband Li Yang, sparking widespread controversy.

Drawing on Joan W. Scott’s method of examining experience, this study analyzes Kim’s case within the broader historical development of China’s ADV movement. It traces how Kim’s personal experiences and public images were continuously constructed, interpreted, and reshaped across different stages of the movement. This study finds that Kim’s experiences became public knowledge through the social, legal, and institutional processes that framed her as a domestic violence …

The Backside Of The Pond, Wendy Murphy

Dartmouth College Master’s Theses

The Backside of the Pond is a collection of personal essays that braid lived experiences with academic inquiry, exploring a variety of themes and the transformative power of reflective writing. Anchored in the geography of Occom Pond, on the northside of the Dartmouth College campus, the collection uses this familiar landscape as both refuge and metaphor.

The thesis also examines the ethics and craft of writing creative nonfiction, considering the tensions between emotional truth and the fallibility of memory. The essays trace moments of clarity, frustration, humor, grief, and renewal. Together, they offer an inquiry into how humans create meaning: …

Lens: Llm-Enabled Narrative Synthesis For Mental Health By Aligning Multimodal Sensing With Language Models, Wenxuan Xu

Dartmouth College Master’s Theses

Multimodal health sensing offers rich behavioral signals for assessing mental health, yet translating these numerical time-series measurements into natural language remains challenging. Current LLMs cannot natively ingest long-duration sensor streams, and paired sensor–text datasets are scarce. To address these challenges, we introduce LENS, a framework that aligns multimodal sensing data with language models to generate clinically grounded mental-health narratives. LENS first constructs a large-scale dataset by transforming Ecological Momentary Assessment (EMA) responses related to depression and anxiety symptoms into natural-language descriptions, yielding over 100,000 sensor–text QA pairs from 258 participants. To enable native time-series integration, we train a patch-level encoder …

John Frederick Kensett & Lotus-Eating, Elizabeth Montfort

Dartmouth College Master’s Theses

This thesis examines Lotus-Eating: A Summer Book (1860) by George William Curtis, with illustrations by John Frederick Kensett. Situating the work within the broader culture of the nineteenth-century travel literature, it analyzes the text’s intermedial construction across memoir, poetry, and visual imagery. By considering each of these modes both independently and in relation to one another, the thesis argues that Curtis and Kensett collaboratively produce a hierarchical framework for viewing and experiencing nature.

Drawing on intermedial and ecocritical methodologies, this project demonstrates how the book does not simply depict landscape but actively instructs its audience in how to see it. …

From Physical Correlation To Emotional Connection: The Role Of Passive Haptics On Empathy In Virtual Reality, Jemely Robles

Dartmouth College Master’s Theses

Virtual reality is increasingly explored as a tool for cultivating empathy, and haptic feedback as a tool for enhancing immersion. This paper investigates the effects of combining the two.  Fifty-two participants experienced a custom-built VR scene in which a character was shown packing up a room. Participants were assigned to either a haptic condition, receiving passive haptic feedback corresponding to the character's actions, or a non-haptic control condition that did not receive any haptic input. Trait empathy was measured beforehand, and state empathy and engagement were measured after the experience. Thematic analysis was conducted on post-study interviews, and headset recordings …

Netchoice V. Wilson, District Of South Carolina

Historical and Topical Legal Documents

No abstract provided.

Judge V. Academia, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.

In Re: Social Media Adolescent Addiction/Personal Injury Products Liability Litigation, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.

Ningbo Jiaruisi E-Commerce Co., Ltd. V. Wham-O Holding, Ltd., Northern District Of Illinois

Historical and Topical Legal Documents

No abstract provided.

Flexible Cu Nanostructured Laser-Induced Graphene Electrodes For Highly Sensitive And Non-Invasive Lactate Detection In Saliva, Anju Joshi, Gymama Slaughter

Center for Bioelectronics Publications

A scalable and facile fabrication strategy is presented for developing a flexible, nanostructured, non-enzymatic electrochemical sensor for lactate detection based on copper-modified laser-induced graphene (CuNPs/LIG). A one-step electrodeposition process was employed to uniformly decorate the porous LIG framework with copper nanostructures, offering a cost-effective and reproducible approach for constructing enzyme-free sensing platforms. Scanning electron microscopy and energy-dispersive X-ray spectroscopy confirmed dense Cu nanostructure loading and efficient interfacial integration across the conductive LIG surface. The resulting CuNPs/LIG electrode exhibited excellent electrocatalytic performance, achieving a sensitivity of 8.56 μA µM⁻¹ cm⁻² with a low detection limit of 42.65 …

Recent Advances In Triboelectric Nanogenerators For Biomedical And Cardiovascular Monitoring, Amit Sarode, Jegan Rajendran, Gymama Slaughter

Center for Bioelectronics Publications

Triboelectric nanogenerators (TENGs) have emerged as versatile self-powered platforms for wearable and implantable biomedical sensing, offering an alternative to battery-dependent electronic devices. By converting biomechanical energy from physiological motion into electrical signals, TENGs enable simultaneous energy harvesting and active sensing within flexible, lightweight, and biocompatible architectures. This review summarizes recent advances from 2020 to 2025 in triboelectric nanogenerator (TENG)-based cardiovascular monitoring. The discussion focuses on material systems, device configurations, sensing mechanisms, and applications including pulse detection and cuffless blood pressure estimation. Representative studies are compared to highlight emerging trends in wearable and self-powered sensing technologies. However, differences in experimental conditions, …

Mxene-Enabled Wearable Biosensors: A Design Framework For Autonomous Biosensing, Jegan Rajendran, Gymama Slaughter

Center for Bioelectronics Publications

MXenes, a rapidly expanding family of two-dimensional transition metal carbides and nitrides, have emerged as leading materials for wearable bioelectronics due to their metallic conductivity, termination-rich surfaces, mechanical compliance, and tunable interlayer structures. However, wearable biosensor performance does not arise from conductivity alone, but from coupled interactions among surface termination chemistry, heterointerface engineering, hierarchical architecture, and device integration under dynamic physiological conditions. This review establishes a predictive structure-interface-device framework linking MXene chemistry to system-level performance across electrochemical, mechanical, gas, optical, and energy-storage modalities. We analyze how termination-controlled adsorption governs charge transfer and selectivity, how heterojunction formation modulates carrier density and …

Advances And Challenges In Digitally Connected Point-Of-Care Biosensing, Abdellatif Ait Lahcen, Jegan Rajendran, Gymama Slaughter

Center for Bioelectronics Publications

Point-of-care (POC) biosensors are undergoing a paradigm shift from isolated diagnostic tools to digitally connected, intelligent platforms that enable continuous and decentralized healthcare delivery. This review critically examines recent advances in wearable, implantable, and portable biosensors, highlighting how integration with wireless communication, the Internet of Medical Things (IoMT), and artificial intelligence is transforming their functionality and clinical utility. Particular attention is given to innovations such as smartphone-enabled interfaces, cloud-based analytics, and machine learning-assisted analysis, which collectively enhance sensitivity, specificity, and user accessibility across diverse healthcare settings, from personalized home monitoring and bedside diagnostics to deployment in resource-limited regions. The review …

Ai-Assisted Surface-Enhanced Raman Spectroscopy For Cardiovascular Diagnostics: From Plasmonic Materials To Clinical Translation, Anju Joshi, Gymama Slaughter

Center for Bioelectronics Publications

Raman spectroscopy (SERS) has emerged as a powerful analytical technique, offering molecular fingerprint specificity and ultrasensitive detection of cardiac biomarkers. Recent advances in plasmonic nanostructures, surface functionalization strategies, and flexible sensing platforms have significantly improved the analytical performance of SERS-based biosensors. In parallel, the integration of artificial intelligence (AI) and machine learning has enabled robust interpretation of complex spectral datasets, facilitating automated biomarker classification and improved diagnostic accuracy in heterogeneous biological environments. Despite these advances, the field remains fragmented, with limited integration between nanomaterial design, biomarker selection, and data-driven analysis, and persistent challenges related to reproducibility, standardization, and clinical validation. …

Nanofibrous Materials And Nanoparticles For Combating Antimicrobial Resistance: Synthesis, Integration, And Translational Perspectives, Rewati Raman Ujjwal, Ashish Dilip Sutar, Rahul Shukla, Gymama Slaughter

Center for Bioelectronics Publications

Antimicrobial resistance (AMR) is a major global health challenge driven by mechanisms such as biofilm formation, efflux pumps, and genetic mutations. Nanoparticulate and fibrous materials have emerged as promising strategies to overcome these limitations through multimodal antimicrobial action and controlled drug delivery. This review highlights recent advances in electrospun nanofibrous systems, including natural and synthetic polymer-based scaffolds, stimuli-responsive nanofibers, and functionalized patches. Nanoparticle-loaded nanofiber systems demonstrate enhanced performance, including bacterial eradication, sustained drug release, and significant biofilm disruption. Multifunctional systems combining antimicrobial, antioxidant, and immunomodulatory properties further show synergism. Emerging innovations, such as piezoelectric and smart sensing systems, enable self-powered …