Pleading and Advocating a Negligence Claim through the Regulation Best Interest Lens

(Excerpt) On June 5, 2019, the SEC adopted the Regulation Best Interest Rule Package, consisting of (i) Regulation Best Interest: The Broker-Dealer Standard of Conduct (“Reg. BI”); (ii) Form CRS Relationship Summary and Amendments to Form ADV;(iii) the SEC Interpretation Regarding Standard of Conduct for Investment Advisers; and (iv) the SEC Interpretation Regarding the “Solely Incidental” Prong of the Broker-Dealer Exclusion from the Definition of Investment Adviser. Brokers were obligated to begin compliance with Reg. BI as of June 30, 2020. Reg. BI contains four component sections mandating duties for brokers and firms: Disclosure, Care, Conflicts of Interest, and Compliance. While it is the SEC\u27s position that Reg. BI does not create any new private right of action or right of rescission, the Rule does set forth duties to which brokers and firms must adhere. Therefore, these obligations may be used as support for a negligence claim for (i) a recommendation that is not in the investor’s best interests; or (ii) failure to supervise. While this article will address how to assess the various Reg. BI obligations when pleading and advancing a potential negligence claim in FINRA arbitration, such conduct may also support other claims such as breach of contract, negligent or intentional misrepresentation, and state Blue Sky law violations

Dual High Flow Oxygen Therapy and CPAP Ventilation in a Single Device for COVID-19

High flow oxygen therapy (HFOT) and Continuous positive airway pressure (CPAP) could be considered the most important ventilatory therapies during the COVID-19 pandemic because of their frequency of use. There are many devices on the market which provide this type of ventilatory support, and these should be distinguished from one another by their efficacy, versatility, patient comfort, hygiene and cost. We evaluated the AquaVENT FD140i from Armstrong Medical, which delivers both HFOT and CPAP, concluding that it provides two potentially efficacious treatments to COVID-19 patients, while its long-life battery facilitates transfers for escalation and de-escalation of care. We compared the AquaVENT FD140i with the Fisher & Paykel MR850, which is a gold standard in the market. We also looked at the compatibility of their humidifier and disposables with Armstrong Medical devices. The results of this study suggest the compatibility of both systems, which has the potential to reduce consumable costs

Bioadsorbente con cáscara de piña para el tratamiento de aguas contaminados por plomo del río Chillón, Lima, 2023

Las aguas del río Chillón ubicado en Puente Piedra, se ven afectadas por una alta contaminación de Pb (II). La presente investigación propone mejorar las condiciones del agua utilizando biocarbón de cáscara de piña, para reducir la concentración del Pb (II) en el cauce del río. Considerando ello, se están desarrollando nuevas tecnologías, entre las que se encuentra la adsorción de metales como el Pb (II) a través de biomasas o bioadsorbentes. La elaboración del bioadsorbente fue a través de pirólisis en tres etapas con diferentes tiempos, siendo la temperatura final de 250°C. Acto seguido, se hizo un análisis granulométrico para determinar, cuál era el adecuado para esta investigación, siendo las elegidas la de 1 mm, la de 0,6 mm y una combinación al 50% de las dos. Para la capacidad de adsorción se utilizó la isoterma de Langmuir. Se obtuvo como resultado, una reducción de 86,05% de Pb (II) en el agua del río Chillón, en la malla N°30 de tamaño de partícula de 0,6 mm quien fue la más eficiente, asimismo se mejoró los parámetros como conductividad eléctrica, potencial redox, turbidez, OD, DQO, DBO, ST, SD y SST, obteniendo así un recurso más sostenible y favorable para el riego de cultivos

Stimulating Interest in Medicine Assisted Manipulation (MAM)/Manipulation Under Anesthesia (MUA) as a Complementary Treatment Modality for Chronic Pain and Opioid Use

The objective of this clinical review is to stimulate interest in medicine assisted manipulation (MAM), also known as manipulation under anesthesia (MUA). By providing evidence from published studies regarding the use of MUA, as well as identifying its benefits and limitations, our group hopes to increase awareness of this technique and contribute to its implementation to assist in overall pain reduction and reduce opioid medication dosing. A retrospective literature review was undertaken to investigate the extent of published information on the topic in order to compile evidence based data and provide the reader with a summary of both the benefits and the flaws of the technique. We intend for this manuscript to serve as a starting point to stimulate readers’ interest into further research and discussion on MUA. We see MUA as a means of providing patients with additional treatment options as well as an opportunity to raise awareness of an uncommon, yet effective, manipulative technique

Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients.

MOTIVATION Sepsis is a leading cause of death and disability in children globally, accounting for ∼3 million childhood deaths per year. In pediatric sepsis patients, the multiple organ dysfunction syndrome (MODS) is considered a significant risk factor for adverse clinical outcomes characterized by high mortality and morbidity in the pediatric intensive care unit. The recent rapidly growing availability of electronic health records (EHRs) has allowed researchers to vastly develop data-driven approaches like machine learning in healthcare and achieved great successes. However, effective machine learning models which could make the accurate early prediction of the recovery in pediatric sepsis patients from MODS to a mild state and thus assist the clinicians in the decision-making process is still lacking. RESULTS This study develops a machine learning-based approach to predict the recovery from MODS to zero or single organ dysfunction by 1 week in advance in the Swiss Pediatric Sepsis Study cohort of children with blood-culture confirmed bacteremia. Our model achieves internal validation performance on the SPSS cohort with an area under the receiver operating characteristic (AUROC) of 79.1% and area under the precision-recall curve (AUPRC) of 73.6%, and it was also externally validated on another pediatric sepsis patients cohort collected in the USA, yielding an AUROC of 76.4% and AUPRC of 72.4%. These results indicate that our model has the potential to be included into the EHRs system and contribute to patient assessment and triage in pediatric sepsis patient care. AVAILABILITY AND IMPLEMENTATION Code available at https://github.com/BorgwardtLab/MODS-recovery. The data underlying this article is not publicly available for the privacy of individuals that participated in the study. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online