A comprehensive study of quantum arithmetic circuits.

In recent decades, the field of quantum computing has experienced remarkable progress. This progress is marked by the superior performance of many quantum algorithms compared with their classical counterparts, with Shor's algorithm serving as a prominent illustration. Quantum arithmetic circuits, which are the fundamental building blocks in numerous quantum algorithms, have attracted much attention.

Time-frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson's disease.

Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder in the world after Alzheimer's disease. Early diagnosing PD is challenging as it evolved slowly, and its symptoms eventuate gradually. Recent studies have demonstrated that changes in speech may be utilized as an excellent biomarker for the early diagnosis of PD.

Significance of voiced and unvoiced speech segments for the detection of common cold.

This work investigates the significance of the voiced and unvoiced region for detecting common cold from the speech signal. In literature, the entire speech signal is processed to detect the common cold and other diseases. This study uses a short-time energy-based approach to segment the voiced and unvoiced region of the speech signal.

Detection of Common Cold from Speech Signals using Deep Neural Network.

This paper presents a deep learning-based analysis and classification of cold speech observed when a person is diagnosed with the common cold. The common cold is a viral infectious disease that affects the throat and the nose. Since speech is produced by the vocal tract after linear filtering of excitation source information, during a common cold, its attributes are impacted by the throat and the nose.

Domain Wall Motion-Based Dual-Threshold Activation Unit for Low-Power Classification of Non-Linearly Separable Functions.

Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphic platforms owing to the ultra-low-power benefits offered by spin devices and the inherent correspondence between spintronic phenomena and the desired neuronal, synaptic behavior. While domain wall motion-based threshold activation unit has previously been demonstrated for neuromorphic circuits, it remains well known that neurons with threshold activation cannot completely learn nonlinearly separable functions. This paper addresses this fundamental limitation by proposing a novel domain wall motion-based dual-threshold activation unit with additional nonlinearity in its function.

Multiscale Amplitude Feature and Significance of Enhanced Vocal Tract Information for Emotion Classification.

In this paper, a novel multiscale amplitude feature is proposed using multiresolution analysis (MRA) and the significance of the vocal tract is investigated for emotion classification from the speech signal. MRA decomposes the speech signal into number of sub-band signals. The proposed feature is computed by using sinusoidal model on each sub-band signal.

Application of radio frequency based digital thermometer for real-time monitoring of dairy cattle rectal temperature.

Aim: Dairy cattle health monitoring program becomes vital for detecting the febrile conditions to prevent the outbreak of the animal diseases as well as ensuring the fitness of the animals that are directly affecting the health of the consumers. The aim of this study was to validate real-time rectal temperature (RT) data of radio frequency based digital (RFD) thermometer with RT data of mercury bulb (MB) thermometer in dairy cattle.

Materials And Methods: Two experiments were conducted.

Analysis of physiological signals using state space correlation entropy.

In this letter, the authors propose a new entropy measure for analysis of time series. This measure is termed as the state space correlation entropy (SSCE). The state space reconstruction is used to evaluate the embedding vectors of a time series.

Women's empowerment and regional variation of contraceptive norms in Bangladesh.

Using data derived from the 2007 Bangladesh Demographic and Health Survey (BDHS), this study investigates the regional variation of contraceptive norms according to the empowerment status of women in Bangladesh. The result suggests that contraceptive norms vary from region to region. Logistic regression analysis suggests that there exists a positive relationship between women's empowerment and use of contraceptive methods in all regions except Barisal and Chittagong.

Modulation of intracellular iron levels by oxidative stress implicates a novel role for iron in signal transduction.

Reactive oxygen species (ROS) display cytotoxicity that can be exacerbated by iron. Paradoxically, HeLa cells treated with the ROS-generators menadione and 2,3-dimethoxy-1,4-naphthoquinone display increased free labile iron. HeLa cells exposed to ROS undergo apoptosis but iron chelation limits the extent of cell death suggesting the rise in intracellular iron plays a signaling role in this pathway.

Beta-amyloid induces the production of active, matrix-degrading proteases in cultured rat astrocytes.

The senile and neuritic plaque neuropathology of Alzheimer's disease (AD) is accompanied by an inflammatory response that includes activated astrocytes and microglia. Activated mononuclear phagocytes and reactive astrocytes, in response to inflammatory cytokines, secrete a set of extracellular matrix (ECM)-degrading enzymes that include the matrix metalloproteinases (MMPs). The major peptide component of senile plaques of AD, beta-amyloid (Abeta), stimulates the production of several MMPs from cultured rat astrocytes and microglia.