A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol.

Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application.

An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers.

Wake-up receivers are gaining importance in power-aware wireless sensor networks, as they significantly reduce power consumption during RF reception, enabling asynchronous communication with low latency. However, the performance of wake-up receivers still lags behind that of off-the-shelf RF transceivers. There is a growing demand for higher sensitivity, enhanced reliability, and lower latency while maintaining the lowest power consumption.

Wake-Up Receiver-Based Routing for Clustered Multihop Wireless Sensor Networks.

The Wireless Sensor Network (WSN) is one of the most promising solutions for the supervision of multiple phenomena and for the digitisation of the Internet of Things (IoT). The Wake-up Receiver (WuRx) is one of the most trivial and effective solutions for energy-constrained networks. This technology allows energy-autonomous on-demand communication for continuous monitoring instead of the conventional radio.

BENN: Bias Estimation Using a Deep Neural Network.

Utilizing existing methods for bias detection in machine learning (ML) models is challenging since each method: 1) explores a different ethical aspect of bias, which may result in contradictory output among the different methods; 2) provides output in a different range/scale and therefore cannot be compared with other methods; and 3) requires different input, thereby requiring a human expert's involvement to adjust each method according to the model examined. In this article, we present BENN, a novel bias estimation method that uses a pretrained unsupervised deep neural network. Given an ML model and data samples, BENN provides a bias estimation for every feature based on the examined model's predictions.

Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band Amplifiers.

With the introduction of Internet of Things (IoT) technology in several sectors, wireless, reliable, and energy-saving communication in distributed sensor networks are more important than ever. Thereby, wake-up technologies are becoming increasingly important as they significantly contribute to reducing the energy consumption of wireless sensor nodes. In an indoor environment, the use of wireless sensors, in general, is more challenging due to signal fading and reflections and needs, therefore, to be critically investigated.

Identification of acute HIV infection using fourth-generation testing in an opt-out emergency department screening program.

Study Objective: Acute HIV infection is a clinical diagnosis aided by technology. Detecting the highly infectious acute stage of HIV infection is critical to reducing transmission and improving long-term outcomes. The Maricopa Integrated Health System implemented nontargeted, opt-out HIV screening with a fourth-generation antigen/antibody combination HIV assay test in our adult emergency department (ED) at Maricopa Medical Center to assess the prevalence of both acute and chronic unrecognized HIV.

Nuclear plakoglobin is essential for differentiation of cardiac progenitor cells to adipocytes in arrhythmogenic right ventricular cardiomyopathy.

Rationale: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a disease of desmosome proteins characterized by fibroadipogenesis in the myocardium. We have implicated signaling properties of junction protein plakoglobin (PG) in the pathogenesis of ARVC.

Objective: To delineate the pathogenic role of PG in adipogenesis in ARVC.

Impact of computerized dosing on eptifibatide-associated bleeding and mortality.

Objective: The study aimed to determine the impact on eptifibatide-associated bleeding by implementing a computerized dosing algorithm in the cardiac catheterization suite.

Background: Excessive dosing of eptifibatide is associated with increased bleeding rates and hospital mortality. Although dosing adjustments based on renal function has been recommended, its implementation and clinical impact have not been assessed in daily practice.

[Trends among medical students towards general practice or specialization].

Background: A 60/40 ratio has been estimated as a country's ideal proportion between general practitioners and specialists. In Chile this proportion was 36/ 64 in 2004, exactly the opposite of the ideal. Trends towards specialization or general practice among medical students have not been thoughtfully studied.

Impact of an intensive care unit telemedicine program on a rural health care system.

We evaluated the impact of a 15-hospital, rural, multi-state intensive care unit (ICU) telemedicine program. Acute Physiology, Age, and Chronic Health Evaluation (APACHE III) scores, raw mortality rates, and actual-to-predicted length of stay (LOS) ratios and mortality ratios were used. Surveys evaluated program impact in smaller facilities and satisfaction of the physicians staffing the remote center.

The efficacy and dosage effect of corticosteroids for the prevention of atrial fibrillation after cardiac surgery: a systematic review.

Background: Atrial fibrillation (AF) complicates up to 60% of patients after cardiac surgery. Current prophylactic measures are inadequate. Corticosteroids down-regulate activation of the proinflammatory response (including C-reactive protein) after cardiopulmonary bypass and have been suggested to reduce the risk of postoperative AF.

Impact of contrast echocardiography on evaluation of ventricular function and clinical management in a large prospective cohort.

Objectives: The aim of this study was to evaluate the impact of echocardiographic contrast utilization on patient diagnosis and management.

Background: Contrast echocardiography (CE) has improved visualization of endocardial borders. However, its impact on patient management has not been evaluated previously.

Cardiac troponins in the intensive care unit: common causes of increased levels and interpretation.

Background And Objectives: Clinical chemistry is an important component of the diagnosis of many conditions, and advances in laboratory science have brought many new diagnostic tools to the intensive care unit clinician, including new biomarkers of cardiac injury like troponin T and I. Interpretation of these clinical laboratory results requires knowledge of the performance of these tests.

Setting And Patients: This article reviews the interpretation and performance of diagnostic markers of myocardial injury in patients with diverse clinical conditions of interest to critical care practitioners.

Outcomes after laparoscopic adjustable gastric band repositioning for slippage or pouch dilation.

Background: Slippage and pouch dilation are the most common surgical complications after laparoscopic adjustable gastric banding, yet few reports have described the specific outcomes after band repositioning for these complications. The objective of this study was to examine the intermediate outcomes of our patients who underwent band repositioning for slippage or pouch dilation.

Methods: From October 2000 to December 2005, 1275 patients underwent laparoscopic adjustable gastric banding at our center.

Risk factors and prevalence of perioperative cognitive dysfunction in abdominal aneurysm patients.

Background: Perioperative delirium is common in high-risk surgery and is associated with age, education, preoperative cognitive functioning, pre-existing medical conditions, and postoperative complications. We investigated these factors as well as lifestyle and demographic variables by using cognitive measures that were more sensitive than those used in previous studies.

Methods: Extensive medical and demographic data were collected on 102 patients between 41 and 88 years of age to identify comorbidities and lifestyle considerations preoperatively.

Laparoscopic adjustable gastric banding: 1,014 consecutive cases.

Background: The purpose of this study was to examine 1,014 consecutive laparoscopic adjustable gastric banding (LAGB) procedures with up to 48 months of followup, including evolution and changes in surgical technique, learning curve issues, weight loss outcomes, and complications.

Study Design: Between October 2000 and December 2004, 1,014 consecutive patients (81.8% women, mean age 42.

Effect of Lap-Band-induced weight loss on type 2 diabetes mellitus and hypertension.

Background: Severe obesity is associated with type 2 diabetes and hypertension. Improvement in these comorbidities after surgically-induced weight loss has been documented, and laparoscopic adjustable gastric banding (LAGB) is an effective weight loss operation.

Methods: Of 840 patients who underwent Lap-Band, data are available in 402 out of 413 patients whose surgery took place at >/= 1 year ago.

To plug or not to plug?

Coronary artery disease remains a common problem in industrialized countries. Percutaneous coronary interventions are usually performed utilizing the femoral approach. Arterial puncture-closing devices have been developed in hope to avoid manual compression and shortening the period of rest.

Guidelines for the inter- and intrahospital transport of critically ill patients.

Objective: The development of practice guidelines for the conduct of intra- and interhospital transport of the critically ill patient.

Data Source: Expert opinion and a search of Index Medicus from January 1986 through October 2001 provided the basis for these guidelines. A task force of experts in the field of patient transport provided personal experience and expert opinion.