Deterministic creation of stationary entangled states by dissipation

We propose a practical physical system for creation of a stationary entanglement by dissipation without employing the environment engineering techniques. The system proposed is composed of two perfectly distinguishable atoms, through their significantly different transition frequencies, with only one atom addressed by an external laser field. We show that the arrangement would easily be realized in practice by trapping the atoms at the distance equal to the quarter-wavelength of a standing-wave laser field and locating one of the atoms at a node and the other at the successive antinode of the wave. The undesirable dipole-dipole interaction between the atoms, that could be large at this small distance, is adjusted to zero by a specific initial preparation of the atoms or by a specific polarization of the atomic dipole moments. Following this arrangement, we show that the dissipative relaxation can create a stationary entanglement on demand by tuning the Rabi frequency of the laser field to the difference between the atomic transition frequencies. The laser field dresses the atom and we identify that the entangled state occurs when the frequency of one of the Rabi sidebands of the driven atom tunes to frequency of the undriven atom. It is also found that this system behaves as a cascade open system where the fluorescence from the dressed atom drives the other atom with no feedback.Comment: Published versio

Synthetic Sensor Data for Human Activity Recognition

Human activity recognition (HAR) based on wearable sensors has emerged as an active topic of research in machine learning and human behavior analysis because of its applications in several fields, including health, security and surveillance, and remote monitoring. Machine learning algorithms are frequently applied in HAR systems to learn from labeled sensor data. The effectiveness of these algorithms generally relies on having access to lots of accurately labeled training data. But labeled data for HAR is hard to come by and is often heavily imbalanced in favor of one or other dominant classes, which in turn leads to poor recognition performance. In this study we introduce a generative adversarial network (GAN)-based approach for HAR that we use to automatically synthesize balanced and realistic sensor data. GANs are robust generative networks, typically used to create synthetic images that cannot be distinguished from real images. Here we explore and construct a model for generating several types of human activity sensor data using a Wasserstein GAN (WGAN). We assess the synthetic data using two commonly-used classifier models, Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). We evaluate the quality and diversity of the synthetic data by training on synthetic data and testing on real sensor data, and vice versa. We then use synthetic sensor data to oversample the imbalanced training set. We demonstrate the efficacy of the proposed method on two publicly available human activity datasets, the Sussex-Huawei Locomotion (SHL) and Smoking Activity Dataset (SAD). We achieve improvements of using WGAN augmented training data over the imbalanced case, for both SHL (0.85 to 0.95 F1-score), and for SAD (0.70 to 0.77 F1-score) when using a CNN activity classifier

Prenatal care perception of Saudi females of childbearing age: an epidemiological study

Background: The purpose of this study is to assess perception of Saudi women of childbearing age regarding prenatal care.Methods: Participants were invited to participate in a voluntary online survey. The brief survey consisted of 15 basic multiple choice questions administered in Arabic, and delivered as a secure link through private social media messaging services. The survey permitted only 1 attempt per user. In order to reach and capture non-respondents, 2 follow-up reminders 10 days apart were sent through the same channels of communication. The survey data was collected and analyzed using the survey software platform, Qualtrics by Qualtrics © LLC 2017.Results: Approximately 9% of participants reported previous pregnancy without use of prenatal care. Nearly 12% of respondents thought that prenatal care is only indicated for malnourished pregnant females, and 7% reported not knowing who prenatal care is specifically indicated for. Nearly 21% reported prenatal care should start after confirmation of pregnancy, 14% thought proper start is anytime within the first 3 months, 8% reported proper start should be after confirmation of healthy pregnancy and 8% reported not sure when to initiate prenatal care. Approximately 12% thought taking prenatal vitamins should be once weekly or some days of the week, while 5% do not advice women to take prenatal vitamins during pregnancy at all.Conclusions: The majority of Saudi women are well educated on prenatal care. However, women in early and late twenties are less aware of proper usage of prenatal care

Deeply-trapped molecules in self-nanostructured gas-phase material

Since the advent of atom laser-cooling, trapping or cooling natural molecules has been a long standing and challenging goal. Here, we demonstrate a method for laser-trapping molecules that is radically novel in its configuration, in its underlined physical dynamics and in its outcomes. It is based on self-optically spatially-nanostructured high pressure molecular hydrogen confined in hollow-core photonic-crystal-fibre. An accelerating molecular-lattice is formed by a periodic potential associated with Raman saturation except for a 1-dimentional array of nanometer wide and strongly-localizing sections. In these sections, molecules with a speed of as large as 1800 m/s are trapped, and stimulated Raman scattering in the Lamb-Dicke regime occurs to generate high power forward and backward-Stokes continuous-wave laser with sideband-resolved sub-Doppler emission spectrum. The spectrum exhibits a central line with a sub-recoil linewidth of as low as 14 kHz, more than 5 orders-of-magnitude narrower than in conventional Raman scattering, and sidebands comprising Mollow triplet, molecular motional-sidebands and four-wave-mixing.Comment: 28 pages 1-12 for main manuscript 13-28 for Methodes and appendices 4 figures for Main manuscript 12 figures for the Methods par

Raman gas self-organizing into deep nano-trap lattice

Trapping or cooling molecules has rallied a long-standing effort for its impact in exploring new frontiers in physics and in finding new phase of matter for quantum technologies. Here we demonstrate a system for light-trapping molecules and stimulated Raman scattering based on optically self-nanostructured molecular hydrogen in hollow-core photonic crystal fibre. A lattice is formed by a periodic and ultra-deep potential caused by a spatially modulated Raman saturation, where Raman-active molecules are strongly localized in a one-dimensional array of nanometre-wide sections. Only these trapped molecules participate in stimulated Raman scattering, generating high-power forward and backward Stokes continuous-wave laser radiation in the Lamb-Dicke regime with sub-Doppler emission spectrum. The spectrum exhibits a central line with a sub-recoil linewidth as low as ∼14 kHz, more than five orders of magnitude narrower than conventional-Raman pressure-broadened linewidth, and sidebands comprising Mollow triplet, motional sidebands and four-wave mixing

SYNERGISM BETWEEN PROBIOTICS AND HERBS TO MANAGE TYPE 2 DIABETES IN RATS

Objective: This study aims to explore the adjuvant effect of multi-strain probiotics with either saffron, cardamom, ginger, or cinnamon herbs to achieve synergistic management for controlling type 2 diabetes (T2D). Methods: Eighty-eight adult male, Wistar rats were used. Eight rats were kept as healthy control. Eighty rats were used to induce type 2 diabetic rats (T2DR) and were randomly assigned to ten groups. One group was an offer to 0.2 ml multi-strain probiotics orally. The rest of T2DR were gavage with 100 mg/kg aqueous extract of saffron, cardamom, ginger, or cinnamon without or with 0.2 ml multi-strain probiotics orally. Bodyweight gain (BWG), and feed efficiency ratio (FER) were recorded. Determination of oral glucose tolerance test (OGTT), serum insulin, C-peptide, HDL, LDL, HDL/total cholesterol ratio were performed. Serum antioxidant activity, Th1and Th2 cytokines and histopathology of the pancreas were done. Results: Comparable with T2DR, solely multi-strain probiotics or with herbs caused a significant reduction in BWG (P<0.05). Groups fed saffron, cardamom, and ginger and enriched with multi-strain probiotic showed significant improvement in OGTT, serum insulin, C-peptide and lipid abnormalities (P<0.05) compared to T2DR. Besides, they had antioxidant and anti-inflammatory effects. The group received ginger alone exerted anti-hyperglycemia and anti-inflammatory effects. However, cinnamon had a moderate anti-diabetic effect and solely probiotics did not show a significant benefit for all parameters except BWG. Conclusion: Cardamom, saffron, and ginger enriched with multi-strain probiotics achieve a synergistic relationship for managing T2D. This finding exhibits a possible new hypothesis to manage diabetes that needs further study

Solar District Cup Competition

The Solar District Cup is a two-semester design competition sponsored by the U.S. Dept. of Energy in which teams from across the nation compete to design the most efficient and cost effective solar plus storage system for a unique district case. The Embry Riddle team was tasked with designing such a system for New Mexico State University in Las Cruses, NM

The Association between Colorectal Cancer and Colonoscopic Conditions in Saudi Patients: A 10-Year Cross-Sectional-Retrospective Study

BACKGROUND: In Saudi Arabia, colorectal cancer (CRC) is the most common cancer in males and the third most common cancer in females. The current gold standard for colorectal cancer diagnosis is colonoscopy. Several concerns regarding the balance of ordering colonoscopy procedures for patients presenting with signs and symptoms. There are also several concerns regarding over-ordering the procedure when unnecessary. The current study aimed to evaluate the association between colorectal cancer and colonoscopic conditions in Saudi patients. METHODS: A 10-year cross-sectional study was conducted at Alnoor Specialty Hospital, Makkah, over the last ten years. Colonoscopy reports of patients were evaluated to identify the colonoscopy manifestations associated with mass, polyps, and bleeding. RESULTS: The current study evaluated 2158 cases admitted to the hospital for colonoscopic diagnosis. Results indicated that most of the patients were males (55.4%). Additionally, results showed a significant statistical association between tumor and bleeding, polyp, and hemorrhage. Moreover, it highlighted the association between polyps and bleeding, inflammation, and diverticulosis. CONCLUSION: CRC screening in Saudi Arabia is comprehensive; however, there are a few areas for improvement, including standardization of colorectal cancer pathology reporting to improve the health system's quality. Also, the current study identified conditions that are significantly associated with reported colon polyps and tumors, which could aid in stratifying patients selected for screening via colonoscopy