E-DPNCT: an enhanced attack resilient differential privacy model for smart grids using split noise cancellation.

High frequency reporting of energy consumption data in smart grids can be used to infer sensitive information regarding the consumer's life style and poses serious security and privacy threats. Differential privacy (DP) based privacy models for smart grids ensure privacy when analysing energy consumption data for billing and load monitoring. However, DP models for smart grids are vulnerable to collusion attack where an adversary colludes with malicious smart meters and un-trusted aggregator in order to get private information from other smart meters.

Differential Impact of a Plan-Led Standardized Complex Care Management Intervention on Subgroups of High-Cost High-Need Medicaid Patients.

Interventions to better coordinate care for high-need high-cost (HNHC) Medicaid patients frequently fail to demonstrate changes in hospitalizations or emergency department (ED) use. Many of these interventions are modeled after practice-level complex care management (CCM) programs. The authors hypothesized that a national CCM program may be effective for some subgroups of HNHC patients, and the overall null effect may obfuscate subgroup-level impact.

FLDID: Federated Learning Enabled Deep Intrusion Detection in Smart Manufacturing Industries.

The rapid development in manufacturing industries due to the introduction of IIoT devices has led to the emergence of Industry 4.0 which results in an industry with intelligence, increased efficiency and reduction in the cost of manufacturing. However, the introduction of IIoT devices opens up the door for a variety of cyber threats in smart industries.

Does the diabetes health plan have a differential impact on medication adherence among beneficiaries with fewer financial resources?

The Diabetes Health Plan (DHP), a value-based insurance plan that reduces cost sharing, was previously shown to modestly increase employer-level medication adherence. It is unclear how the DHP might impact individuals with different incomes. To examine the impact of the DHP on individual-level medication adherence, by income level.

Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case.

Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medical cyber-physical systems to adopt these emerging technologies to combat COVID-19 paramedic crisis. Also, acquiring secure real-time data exchange and analysis across multiple participants is essential to support the efforts against COVID-19.

High-cost high-need patients in Medicaid: segmenting the population eligible for a national complex case management program.

Background: High-cost high-need patients are typically defined by risk or cost thresholds which aggregate clinically diverse subgroups into a single 'high-need high-cost' designation. Programs have had limited success in reducing utilization or improving quality of care for high-cost high-need Medicaid patients, which may be due to the underlying clinical heterogeneity of patients meeting high-cost high-need designations.

Methods: Our objective was to segment a population of high-cost high-need Medicaid patients (N = 676,161) eligible for a national complex case management program between January 2012 and May 2015 to disaggregate clinically diverse subgroups.

Evaluation of a National Care Coordination Program to Reduce Utilization Among High-cost, High-need Medicaid Beneficiaries With Diabetes.

Background: Medical, behavioral, and social determinants of health are each associated with high levels of emergency department (ED) visits and hospitalizations.

Objective: The objective of this study was to evaluate a care coordination program designed to provide combined "whole-person care," integrating medical, behavioral, and social support for high-cost, high-need Medicaid beneficiaries by targeting access barriers and social determinants.

Research Design: Individual-level interrupted time series with a comparator group, using person-month as the unit of analysis.

Behavioral activation therapy for return to work in medication-responsive chronic depression with persistent psychosocial dysfunction.

Objective: Chronic depression is associated with significant impairment in work functioning, relationships, and health. Such impairment often persists following medication-induced remission of depressive symptoms. We adapted and tested Behavioral Activation therapy with a goal of return to work (BA-W) in subjects with chronic depression who had responded to medication treatment but remained unemployed.

Combination antidepressant therapy for major depressive disorder: speed and probability of remission.

Introduction: Only about a third of patients with an episode of major depressive disorder remit with a given treatment and few remissions occur within the first weeks of treatment. This study tested whether combining escitalopram and bupropion as initial treatment would result in quicker remission and a higher remission rate than monotherapy with either drug.

Method: Two hundred forty-five outpatients aged 18-65 having non-psychotic, non-bipolar major depression were randomly assigned to double-blind treatment with bupropion or escitalopram or the combination dosed to a maximum of bupropion 450 mg/d and/or escitalopram 40 mg/d for 12 weeks.

Do manualized psychosocial interventions help reduce relapse among alcohol-dependent adults treated with naltrexone or placebo? A meta-analysis.

Background:  During the past decade, several novel medication treatments and psychosocial interventions have been tested. Overall, their impact on reducing alcohol use and preventing relapse has been modest. These outcomes have spurred researchers to investigate whether the addition of manualized psychosocial therapies with demonstrated efficacy to pharmacotherpy would have a synergistic effect.

A randomized controlled trial of duloxetine versus placebo in the treatment of nonmajor chronic depression.

Objective: Numerous double-blind studies have assessed the efficacy of antidepressants in treating chronic depressive disorder, including dysthymic disorder, low-grade chronic depression. However, there are no double-blind, placebo-controlled studies of serotonin-norepinephrine reuptake inhibitors in chronic depressive disorder.

Method: Outpatients with chronic depressive disorder, but without concurrent major depressive disorder (MDD), were randomly assigned to prospective double-blind duloxetine (beginning at 30 mg/d, increased to a maximum dose of 120 mg/d) versus placebo for 10 weeks.

Enhancing resident training in abortion and contraception through hospital-community partnership.

Objectives: The study was undertaken to assess the efficacy of a hospital-community rotation in abortion and contraception.

Study Design: The program was developed and implemented by the Planned Parenthood League of Massachusetts (PPLM) and the Department of Obstetrics and Gynecology at Baystate Medical Center in November 2000. Abortion and contraceptive training is integrated into postgraduate year 3 and includes didactic presentations and 10 mandatory clinical sessions in first trimester abortion care.

Does catheter type effect pregnancy rate in intrauterine insemination cycles?

Purpose: To determine if a soft insemination catheter increases pregnancy rates.

Methods: Seven hundred forty-seven consecutive intrauterine insemination (IUI) cycles in 364 women in a reproductive endocrinology office between October 1998 and March 2000. Patients with even birth years were inseminated with the Tomcat catheter, and those with odd birth year with the Wallace IUI catheter.