A Hemodynamic Pulse Wave Simulator Designed for Calibration of Local Pulse Wave Velocities Measurement for Cuffless Techniques.

Objective: Devices for cuffless blood pressure (BP) measurement have become increasingly widespread in recent years. Non-invasive continuous BP monitor (BPM) devices can diagnose potential hypertensive patients at an early stage; however, these cuffless BPMs require more reliable pulse wave simulation equipment and verification methods. Therefore, we propose a device to simulate human pulse wave signals that can test the accuracy of cuffless BPM devices using pulse wave velocity (PWV).

A novel smart photoelectric lock system: Speech transmitted by laser and speech to text.

We propose a circuit that modulates a speech signal to a laser, using which the speech signal can be transmitted using the laser. Also, it shows the use of a platform based on embedded ARM (Advanced RISC Machine), running a small deep learning model based on TDNN (Time delay neural network) and LSTM (Long short-term memory), and converting speech to text, and use the text cipher for unlocking. This research implements a smart lock system that can set a pre-record speech cipher and verify the similarity through a laser transmission speech cipher to unlock it.

The relationships between adverse life events, depression, economic activities, and human capital investment in Nigeria.

This paper examines the links between adverse events, depression, and decision-making in Nigeria. It investigates how events such as conflicts, shocks, and deaths of family members can affect short-term mental health, as well as longer-term decisions on economic activities and human capital investments. First, the findings show that exposure to conflict has the largest and strongest relationship with depression, associated with a 21-26 percentage point increase in the probability of depressive symptomatology.

Multi-Sensor Fault Diagnosis of Underwater Thruster Propeller Based on Deep Learning.

With the rapid development of unmanned surfaces and underwater vehicles, fault diagnoses for underwater thrusters are important to prevent sudden damage, which can cause huge losses. The propeller causes the most common type of thruster damage. Thus, it is important to monitor the propeller's health reliably.

A Novel Dentary Bone Conduction Device Equipped with Laser Communication in DSP.

In this study, we designed a dentary bone conduction system that transmits and receives audio by laser. The main objective of this research was to propose a complete hardware design method, including a laser audio transmitter and receiver and digital signal processor (DSP) based digital signal processing system. We also present a digital filter algorithm that can run on a DSP in real time.

Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning.

The early diagnosis of a motor is important. Many researchers have used deep learning to diagnose motor applications. This paper proposes a one-dimensional convolutional neural network for the diagnosis of permanent magnet synchronous motors.

Early prediction of coronavirus disease epidemic severity in the contiguous United States based on deep learning.

In November 2019, the coronavirus disease outbreak began, caused by the novel severe acute respiratory syndrome coronavirus 2. In just over two months, the unprecedented rapid spread resulted in more than 10,000 confirmed cases worldwide. This study predicted the infectious spread of coronavirus disease in the contiguous United States using a convolutional autoencoder with long short-term memory and compared its predictive performance with that of the convolutional autoencoder without long short-term memory.

Multi-Dimensional Underwater Point Cloud Detection Based on Deep Learning.

Numerous sensors can obtain images or point cloud data on land, however, the rapid attenuation of electromagnetic signals and the lack of light in water have been observed to restrict sensing functions. This study expands the utilization of two- and three-dimensional detection technologies in underwater applications to detect abandoned tires. A three-dimensional acoustic sensor, the BV5000, is used in this study to collect underwater point cloud data.

Estimation of the Number of Passengers in a Bus Using Deep Learning.

For the development of intelligent transportation systems, if real-time information on the number of people on buses can be obtained, it will not only help transport operators to schedule buses but also improve the convenience for passengers to schedule their travel times accordingly. This study proposes a method for estimating the number of passengers on a bus. The method is based on deep learning to estimate passenger occupancy in different scenarios.

Mortality Prediction of Septic Patients in the Emergency Department Based on Machine Learning.

In emergency departments, the most common cause of death associated with suspected infected patients is sepsis. In this study, deep learning algorithms were used to predict the mortality of suspected infected patients in a hospital emergency department. During January 2007 and December 2013, 42,220 patients considered in this study were admitted to the emergency department due to suspected infection.

A Keto-Mediet Approach with Coconut Substitution and Exercise May Delay the Onset of Alzheimer's Disease among Middle-Aged.

Background: Coconut oil has been widely used to improve health because there is much information available by word of mouth, in books, and on the internet. However, researchers still continue to search for the best diets to improve the quality of life, especially for people with cognitive decline.

Objectives: The aim of this review is to develop a novel dietary approach, the Keto-Mediet, which may help prevent the onset of Alzheimer's disease.

Undifferentiated Neuroblastoma Cells Are More Sensitive to Photogenerated Oxidative Stress Than Differentiated Cells.

Neuroblastoma is one of the most aggressive cancers and has a complex form of differentiation. We hypothesized that advanced cellular differentiation may alter the susceptibility of neuroblastoma to photodynamic treatment (PDT) and confer selective survival advantage. We demonstrated that hematoporphyrin uptake by undifferentiated SH-SY5Y cells was lower than that of differentiated counterparts, yet the former were more susceptible to PDT-induced oxidative stress killing.

Ultrasound imaging of oxidative stress in vivo with chemically-generated gas microbubbles.

Ultrasound contrast agents (UCAs) have tremendous potential for in vivo molecular imaging because of their high sensitivity. However, the diagnostic potential of UCAs has been difficult to exploit because current UCAs are based on pre-formed microbubbles, which can only detect cell surface receptors. Here, we demonstrate that chemical reactions that generate gas forming molecules can be used to perform molecular imaging by ultrasound in vivo.

Gain-phase margin analysis of dynamic fuzzy control systems.

In this paper, we apply some effective methods, including the gain-phase margin tester, describing function and parameter plane, to predict the limit cycles of dynamic fuzzy control systems with adjustable parameters. Both continuous-time and sampled-data fuzzy control systems are considered. In general, fuzzy control systems are nonlinear.

Exogenous hyperinsulinemia causes insulin resistance, hyperendothelinemia, and subsequent hypertension in rats.

In many clinical and animal studies, hypertension and insulin resistance coexist, but their mechanistic relationship is unclear. We explored the causal link between these two parameters in a rat model with chronic hyperinsulinemia induced with human insulin (1 U/d) released from subcutaneously implanted minipumps. Rats with saline minipumps served as a control.

Intermittent bolus versus patient-controlled epidural morphine for postoperative analgesia.

Background: Patient-controlled epidural analgesia (PCEA) is a technique that combines the flexibility and convenience of PCA with the intrinsic analgesic efficacy of epidurally administered opioids. The aim of this study is to compare the analgesic and side effects of intermittent bolus injections of epidural morphine with PCEA using morphine during the first 24 h after elective low abdominal surgery.

Methods: Sixty patients were randomly assigned into two groups.

Accidental shock during epidural anesthesia in a patient with NSAID-induced hyporeninemic hypoaldosteronism.

An obese man suffered cardiac arrest twenty minutes after receiving epidural anesthesia for incision and debridement of wound over the right leg. The patient's condition stabilized after emergent cardiopulmonary resuscitation. It was found that the patient had been self-administering an herbal drug continuously for a year and a half, and that this drug contained ethoxybenzamide, which is a nonsteroidal anti-inflammatory drug (NSAID).

Comparison of epidural butorphanol plus clonidine with butorphanol alone for postoperative pain relief.

Background: Epidural butorphanol has been shown to produce effective analgesia with less side effects than that of morphine but relatively short duration. Clonidine, an alpha 2-adrenergic agonist, has been reported to provide [corrected] pain relief by epidural administration. Furthermore, epidural clonidine has been shown to potentiate the analgesic effect of epidural morphine.

Endothelin-1 inhibits insulin-stimulated glucose uptake in isolated rat adipocytes.

A single class of high affinity endothelin-1 (ET-1) binding sites with an apparent Kd of 350 pM and a binding capacity of 69,000 sites/cell was found in isolated rat adipocytes. Whereas ET-1 had no effect on basal glucose uptake, it inhibited insulin-stimulated glucose uptake in both a dose- and time-dependent manner. Insulin binding, however, was not altered.

[Preliminary study of cartilage repair with autologous periosteum and fibrin adhesive system].

The potential surgical transplantation with autogenous periosteal grafts and Fibrin Adhesive System (FAS) was attempted in a rabbit model. The grafts were taken from the tibia, transplanted and fixed with FAS to artificial full-thickness (0.4 x 0.

An in vitro approach to the kinetics of insulin antibodies in diabetic patients.

The purpose of this study is to evaluate the binding behavior of plasma insulin antibodies (Iab) in diabetic patients, by the following parameters: Incubation time, temperature, buffer pH, and Iab titer. We investigated the plasma insulin binding patterns of 12 insulin-treated diabetic patients, and they were separated as higher titer group (Iab = 51.9 +/- 7.

Iron status of infancy and early childhood in south Taiwan.

The iron status of 206 infants and young children in South Taiwan were evaluated by measurements of serum iron, total iron binding capacity, serum ferritin, and hematological parameters of peripheral blood including hemoglobin (Hb), hematocrit, mean corpuscular hemoglobin (MCH), and mean corpuscular volume (MCV). 18 subjects aged 2 months were included in the study and no iron deficiency was found in this group. Four groups of the other subjects aged between 3 and 36 months were studied; A: 3-6 months, 28 subjects, B: 6-12 months, 29 subjects, C: 12-24 months, 91 subjects, D: 24-36 months, 40 subjects.

[Renal involvement in anaphylactoid purpura with particular reference to serum immunoglobulin].

Eighty-eight children of anaphylactoid purpura were studied in the Department of Pediatrics from September 1979 to September 1987. Fifty-one children without renal involvement recovered rapidly. Seven children with hematuria or proteinuria and fourteen children with both manifestations recovered fully within six weeks also.

The content and composition of immunoreactive somatostatin in monkey pancreas.

A highly sensitive and specific radioimmunoassay (RIA) was developed for analyzing somatostatin (SRIF-LI). The monkey pancreas was lyophilized and extracted with 2N acetic acid. The content and composition of immunoreactive somatostatin in monkey pancreas were then evaluated by chromatography process and RIA.