Search

Carpal tunnel syndrome (CTS) is an entrapment neuropathy affecting the median nerve. Prevalence is estimated at 4% to 5% of the population. A solid understanding of the anatomy, presentation, and diagnostics is key to efficient diagnosis and appropriate referral. Both surgical and nonsurgical interventions have led to improved clinical outcomes. Clinicians who have an in-depth knowledge of CTS symptoms and treatment options can prepare patients and streamline referrals for improved patient outcomes.

Since their development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways but it remains unclear how decision making and associated neural processes are impacted by the online sharing of informational content, from factual to fabricated. Here, we use EEG to estimate dynamic reconfigurations of brain networks and probe the neural changes underlying opinion change (or formation) within individuals interacting with a simulated social media platform. Our findings indicate that the individuals who changed their opinions are characterized by less frequent network reconfigurations while those who did not change their opinions tend to have more flexible brain networks with frequent reconfigurations. The nature of these frequent network configurations suggests a fundamentally different thought process between intervals in which individuals are easily influenced by social media and those in which they are not. We also show that these reconfigurations are distinct to the brain dynamics during an in-person discussion with strangers on the same content. Together, these findings suggest that brain network reconfigurations may not only be diagnostic to the informational context but also the underlying opinion formation.Author SummaryDistinctive neural underpinnings of opinion formation and change during in-person and online social interactions are not well understood. Here, we analyze EEG recordings of the participants interacting with a simulated social media platform and during an in-person discussion using a network-based analysis approach. We show that the structure of network reconfigurations during these interactions is diagnostic of the opinion change and the context in which information was received.

Water conservation efforts for California’s agricultural industry are critical to its sustainability through severe droughts like the current one and others experienced over the last two decades. This is most critical for perennial crops, such as vineyards and orchards, which are costly to plant and maintain and constitute a significant fraction of the regional water use. It is no longer feasible to access groundwater for irrigation to replace deficit surface water resources during drought due to a significant overdraft of aquifers and new regulation limiting its use. To achieve significant water savings, the actual crop water use or evapotranspiration (ET) needs to be mapped from field to regional scales on a daily basis. This can only be achieved using remote sensing-based models, particularly thermal-based energy balance models that are sensitive to deficit irrigation conditions. The two-source energy balance (TSEB) model has been successfully applied over vineyards in California, but challenges still remain. In particular, much of the irrigated cropland in the California Central Valley is affected by advection of hot dry air masses from surrounding non-irrigated areas and the TSEB model appears to need modifications to adequately estimate ET under such conditions, as well as the partitioning between evaporation and transpiration. This study investigates the application of the TSEB model, using local observations in a vineyard having significant advection. Four versions of the transpiration algorithm in TSEB are applied and evaluated with tower eddy covariance measurements spanning 4 growing seasons. The results suggest the performance of the original transpiration algorithm based on Priestley–Taylor used in TSEB is satisfactory in all but the most extreme advective conditions, while a transpiration algorithm based on Shuttleworth–Wallace with a canopy resistance formula, which relates maximum stomata conductance to vapor pressure deficit (VPD), performs well in all cases. These modifications have potential for improving regional applications of the TSEB model in support of water management in the Central Valley., Funding and logistical support for the GRAPEX project were provided by E. & J. Gallo Winery and from the NASA Applied Sciences-Water Resources Program (Grant No. NNH17AE39I). This research was also supported in part by the U.S. Department of Agriculture, Agricultural Research Service.

Prior work established a model for uncertain Gauss-Markov (GM) noise that is guaranteed to produce a Kalman filter (KF) covariance matrix that overbounds the estimate error distribution. The derivation was conducted for the continuous-time KF when the GM time constants are only known to reside within specified intervals. This paper first provides a more accessible derivation of the continuous-time result and determines the minimum initial variance of the model. This leads to a new, non-stationary model for uncertain GM noise that we prove yields an overbounding estimate error covariance matrix for both sampled-data and discrete-time systems. The new model is evaluated using covariance analysis for a one-dimensional estimation problem and for an example application in Advanced Receiver Autonomous Integrity Monitoring (ARAIM).

There has been limited study of patient-provider communication regarding medical cannabis for cancer symptoms. To address this gap, this study assesses the prevalence of patient-provider communication about the use of medical cannabis for cancer symptoms. Three types of communication are examined: 1) patient-provider discussions; 2) provider recommendations; and 3) provider instructions for how to use medical cannabis. We administered a survey from August to November 2021 with adult cancer patients who completed treatment from July 2017 to December 2019 at a National Cancer Institute designated Comprehensive Cancer Center; 1,592 individuals participated (response rate: 17.6%). About half of participants were female (52.1%). The age distribution of participants included 18-44 (9.4%), 45-54 (12.8%), 55-64 (25.3%), 65-74 (35.4%), and 75 and above (17.3%). Participant’s racial and ethnic background included Hispanic/Latinx (6.5%), African American/Black (4.0%), Asian American (1.0%), additional or multiple racial categories (3.5%), and White (91.5%). About a third (33.5%) of participants (530/1584) reported discussing medical cannabis for cancer symptoms with a healthcare provider. Participants who had discussed cannabis with a provider reported discussions with multiple providers including their oncology physician (62.3%), primary care provider (45.7%), oncology advanced practice provider (APP) (34.3%), dietician (7.4%), pharmacist (2.8%), and other healthcare provider (34.3%). Fewer (15.6%) participants (248/1592) reported receiving a recommendation for medical cannabis from a healthcare provider for their cancer symptoms. Participants who had received a recommendation reported recommendations from their oncology physician (32.7%), primary care provider (26.6%), oncology APP (13.7%), dietician (4.8%), pharmacist (1.6%), and other healthcare provider (56.9%). About a third (33.7%) of participants (537/1592) reported using medical cannabis during their cancer treatment and most often reported receiving instructions on how to use cannabis from no one (36.9%) or from a cannabis store or dispensary worker (23.8%). Less commonly, participants reported receiving instructions from their healthcare provider including their primary care provider (3.7%), oncology APP (2.0%), oncology physician (1.5%), pharmacist ( Citation Format: Kea Turner, Jessica Y. Islam, Yessica C. Martinez, Omar Garcia Rodriguez, Diane Rodriguez Irlanda, Oliver T. Nguyen, Heather S.L. Jim, Kathleen M. Egan. Patient provider communication about the use of medical cannabis for cancer symptoms. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4374.

The 2020 primaries featured the most diverse candidates seeking the U.S. presidency to date; however, news media preoccupied with the novelty of a candidate’s social identity may result in less policy coverage for those underrepresented in electoral politics. Utilizing content analysis, this study explores the prevalence of novelty news frames that emphasize candidate identity across three national news outlets and examines whether these frames diminish the volume of policy coverage for minority candidates.

The Coral Earth Snake (Geophis semidoliatus) feeds mainly on invertebrates. In this note we present the first record of a vertebrate (Scincella cherriei) in the diet of the snake Geophis semidoliatus.

Retinitis pigmentosa (RP) is a genetically heterogeneous group of diseases characterized by complete progressive vision loss; it has a prevalence of approximately one in 2500-7000. Patients with RP may have isolated findings, or the disorder can occur as part of a constellation of other abnormalities that, together, are known as syndromic RP. The aim of this study was to describe the results of a genetic analysis of a cohort of Puerto Ricans with a clinical diagnosis of RP.This was a cross-sectional study with a cohort of 224 Puerto Rican patients who carried a clinical diagnosis of RP. During a local (Puerto Rico) RP convention, the patients were offered genetic analysis. Volunteering patients signed consent forms for the study. Saliva samples were obtained and analyzed. Patients were evaluated by at least one of the authors. Patients with pathogenic mutation(s), according to the panel, were classified as positive and sorted based on the results.Of 224 patients, 161 (71.9%) had pathogenic gene variants associated with IRDs. 54.5% (122/224) of cases were conclusive. More than half (72/122) of these cases are explained by mutations in the BBS1, PDE6B, CNGB1, and USH2A genes. Genetic analysis showed that the highest rate of pathogenic variants in our cohort was found in the BBS1 gene.This was the first genetic analysis in Puerto Rico of patients with RP. The most common mutation associated with RP was found in the

Cellulose nanocrystals (CNCs) were converted into a CO2-responsive composite nanomaterial by grafting poly(dimethylaminoethyl methacrylate) (PDMAEMA), poly(diethylaminoethyl methacrylate) (PDEAEMA), and poly(diisopropylaminoethyl methacrylate) (PDPAEMA) onto its surface using both grafting-to and grafting-from approaches. The zeta potential (ζ) of the graft-modified CNC could be reversibly switched by protonation/deprotonation of the tertiary amine groups simply by sparging with CO2 and N2, respectively. Depending on the grafting density and the molecular weight of the polymer grafts, CNC can form stable aqueous dispersions at either mildly acidic pH (under CO2) or mildly basic (under N2) conditions. Moreover, it was also determined that the CNC hydrophobicity, assessed using phase-shuttling experiments at different pH values, was also dependent on both the grafting density and molecular weight of the polymer grafts, thereby making it possible to easily tune CNC dispersibility and/or hydrophobicity.

Starch nanoparticles (SNP) were modified with synthetic polymers using the “grafting to” approach and nitroxide-mediated polymerization. SG1-capped poly(methyl methacrylate-co-styrene) (P(MMA-co-S)...

Cold water-soluble starch (CWS) is a polysaccharide that is industrially important for several applications including paper coatings, but the high viscosity of starch solutions limits the amount of starch that can be incorporated in many applications. Due to the poor mechanical properties of starch and poor dispersibility of starch in hydrophobic matrices, it is often chemically modified to make it more useful. Herein, we report the first grafting from (co)polymerisation of CWS via nitroxide-mediated polymerisation (NMP) of methyl methacrylate-co-styrene, methyl acrylate, and acrylic acid. Our three step approach consists of: (1) modification of CWS with 4-vinylbenzyl chloride; (2) functionalisation with 2-methyl-2-[N-tertbutyl-N-(diethoxy-phosphoryl-2,2-dimethylpropyl)-aminoxy] propionic acid initiator; and (3) grafting from (co)polymerisation via NMP. The (co)polymerisations were well controlled showing linear reaction kinetics for all monomers and relatively low dispersities (

We examined the performance of right- and left-handed brain-intact adult readers of English or Farsi on a hemi-image generation task in which participants were to imagine and then draw halves of objects using either their dominant or nondominant hand. Which half of the object was drawn was examined in relation to biomechanical, cerebral laterality, and cultural predictors. Findings showed a differential side bias as a function of reading/writing direction and hand used to draw. Specifically, when the dominant hand was used to draw (Experiment 1), English left-handers produced more left hemi-images while Farsi right-handers produced more right hemi-images. Body specificity associated with hand used, however, drove spatial preference when enlisting the nondominant hand (Experiment 2) with English right-handers now showing a significant left hemi-image bias and English left-handers showing a right hemi-image bias. Farsi right-handers using their nondominant hand did not show a significant bias in either direction. Taken together, the findings suggest a joint influence of handedness and reading/writing direction, aligned with an embodiment account of directional spatial biases.

Vertical navigation is crucial for safe aircraft separation, which have been traditionally based on flight altitude levels. This altitude information is normally called standard pressure altitude since it is computed from airborne pressure measurements performed by barometers and is referenced to the International Standard Atmosphere (ISA) Mean Sea Level (MSL) isobar surface. On the other hand, robust geodetic altitude navigation is fundamental for airport nearness operations with tighter requirements and plays a key role for new applications like Urban Air Mobility (UAM). However, the deviations of standard pressure altitude from true geodetic altitude can reach up to several hundreds of meters and therefore its application is limited to relative vertical navigation. The barometric measurements can nevertheless still be used to determine geodetic altitude if additional weather information like pressure and temperature is available and some transformations are applied. This paper first presents a methodology to compute geodetic altitude from a corrected pressure altitude obtained with airborne pressure measurements and external weather data. Flight data is used to assess the achievable geodetic altitude accuracy from 20 flight hours with the German Aerospace Center (DLR) Dassault Falcon 20-ES aircraft. Second, one linear model is derived to mitigate residual errors that dependent on flight dynamics. Finally, and based on the available flight data, first robust stochastic error models are proposed to support the adoption of barometric pressure measurements for safe geodetic altitude navigation. In particular, two models are derived. The first one provides a Gaussian overbound for the computed geodetic altitude so that it can be used either directly as altitude information or in combination with other sensors in snapshot (e.g., least-squares) estimators. The second is a dynamic model that bounds the power spectral density of the error with a first-order Gauss Markov process. In this way this model can be easily incorporated in a sequential estimator, like a Kalman filter, and in combination with other sensors.