Miracle-dz/UniFAR-FTUs huggingface dataset:
Demographic Considerations in Serving Children Who are Hard of Hearing or Deaf

and success in society. When early identification and intervention occur, [children who are HH/D] make dramatic progress, are more successful in school, and become more productive members of society. The earlier intervention and habilitation begin, the more dramatic the benefits. (p. 460) Abstract: People involved with Early Hearing Detection and Intervention (EHDI) programs should understand that fewer than 15% the babies identified by EHDI programs have bilateral profound hearing loss and more than 50% have mild bilateral or unilateral hearing loss. Further, less than 5% of newborns with congenital hearing loss have two parents who are hard of hearing or deaf. It is important that EHDI program managers and staff ensure that educational, audiological, and medical care are tailored to the needs and circumstances of the child and family. Achieving this goal requires that participants in the EHDI system recognize and respect the heterogeneity of this population and the many options that families have for educating and communicating with their child who is hard of hearing or deaf.
Extracting Gait Characteristics from Micro-Doppler Features

One possible enhancement in through-the-wall surveillance (TWS) applications with respect to human subject detection is to extract gait characteristics such as torso speed, and arm and leg swing motions from the micro-Doppler features. These gait characteristics can then be imposed on top of animated human objects for visualization. As a result, the visualization with the animated objects will be more convincing and realistic. This paper summarizes our results in this area. A systematic methodology is presented first, followed by some validation experiments using a human walking simulation model. Finally, experimental data were used to extract gait characteristics.
Multi-Resident Activity Recognition in a Smart Home Using RGB Activity Image and DCNN

In the last decade, unobtrusive (device-free and non-privacy invasive) recognition of activities of daily living for an individual in a smart home has been studied by many researchers. However, the unobtrusive recognition of multi-resident activities in a smart home is hardly studied. We propose a novel RGB activity image-based DCNN classifier for the unobtrusive recognition of the multi-resident activities (Bed_to_Toilet, Bed, Breakfast, Lunch, Leave_home, Laundry, Dinner, Night_wandering, R2_work, and R1_medicine) using Cairo open data set provided by the CASAS Project. The open data set is collected by environmental sensors (PIR and temperature sensors) in Cairo testbed, while an adult couple with a dog was living for 55 days. The data set is preprocessed with activity segmentation, sliding window, and RGB activity image conversion steps. The experimental results demonstrate that our classifier has the highest total accuracy of 95.2% among the previously developed machine learning classifiers that employed the same data set. Moreover, the proposed RGB activity image was proven to be helpful for increasing the recognition rate. Therefore, we conclude that the proposed DCNN classifier is a useful tool for the unobtrusive recognition of the multi-resident activity in a home.
Photopharmacological Control of Cyclic Antimicrobial Peptides

Gramicidin S is a naturally occurring antimicrobial cyclic peptide. Herein, we present a series of cyclic peptides based on gramicidin S that contain an azobenzene photoswitch to reversibly control secondary structure and, hence, antimicrobial activity. 1H NMR spectroscopy and density functional theory calculations revealed a β‐sheet/β‐turn secondary structure for the cis configuration of each peptide, and an ill‐defined conformation for all associated trans structures. The cis‐enriched and trans‐enriched photostationary states (PSSs) for peptides 1–3 were assayed against Staphylococcus aureus to reveal a clear relationship between well‐defined secondary structure, amphiphilicity and optimal antimicrobial activity. Most notably, peptides 2 a and 2 b exhibited a fourfold difference in antimicrobial activity in the cis‐enriched PSS over the trans‐enriched equivalent. This photopharmacological approach allows antimicrobial activity to be regulated through photochemical control of the azobenzene photoswitch, thereby opening new avenues in the design and synthesis of future antibiotics.
A General Lane Detection Algorithm Based on Semantic Segmentation

With the development of artificial intelligent (AI), more and more fields are embracing the AI technology. Intelligent driving is one of the these fields. The environment perception is the fundamental of intelligent driving while lane detection is one of important part of environment perception. Traditional lane detection methods are based on the features of road edge which is only suited on the road with clear car lanes. In this paper, we propose a lane detection method based on semantic segmentation in which includes two stages for lane detection. In the first stage, we use SegNet which is a deep convolutional neural network to recognize the drivable area. Then, we use edge-extracting algorithm to find features of road edge. Based on the extracting edge features, we use cubic curve to fit lane. The experimental results show that our method has a good generalization. It can achieve a good result in both urban roads and rural roads.
Sensitivity and Specificity Analysis of Fingerprints Based Algorithm

Recently, sensitivity and specificity of biometric based algorithms have gained too much attentions of researchers because of frequently reported fraud cases to defense related organizations. A similar study is presented in this paper to depict the different aspects of a biometric system so that its features such as sensitivity. , specificity. , precision and accuracy may be figure out well before its installation. In this regard. , fingerprints based biometric system is considered; where fingerprints are first enhanced to remove the unwanted contents from them using Gabor filter. So that feature extraction may be accomplished. However. , for matching of fingerprints support vector machine has been employed. Experiments are performed with FVC2000 and FVC2002 fingerprints databases and improved results have been found.
Substrate Integrated Waveguide Filter with A Slot in The Middle of Defected Ground Structure

The main problem when designing a bandpass filter for microwave and millimeter-wave are the compact size, low insertion loss, high return loss and the sharpness of selectivity. Substrate integrated waveguide (SIW) with defected ground structure (DGS) offer the realization of bandpass filter has low insertion loss, compact size, high return loss, easy to fabricate and more effective cost than using waveguide filter. This research proposed SIW and DGS. DGS is not etched on ground plane, but it is etched in the top layer with the purpose of not disrupting the current flow on the ground. The DGS design is a square open-loop with a slot in middle section to meet low insertion loss, compact size and high return loss. The simulation results give the good performance at range 7. 61–9.88 GHz with the insertion loss values less than 0.6 dB and the return loss values higher than 14 dB while the measurement give the insertion loss values around 3 dB and the return loss values higher than 8 dB. The SIW with three cascaded cells of a square open-loop with a slot in the middle section DGS give the realization bandpass filter more compact and better performance than one cell of DGS.
Spectrally Efficient 800 Gbps/Carrier WDM Transmission with 100-GHz Spacing Using Probabilistically Shaped PDM-256QAM

We demonstrate 800-Gbps/carrier WDM transmission at 100 GHz-spacing. 8-Tbps $(800-\text{Gbps}/\text{carricr}\times 10\ \text{carriers})$ transmission over 400 km is achieved using 82-GBd probabilistically shaped PDM-256QAM with 8-bps/Hz spectral efficiency. High SNR is realized by precise compensation for transceiver's frequency response.
Genistein attenuates renal fibrosis in streptozotocin-induced diabetic rats

The present study aimed to investigate the antifibrogenic effects of genistein (GEN) on the kidney in streptozotocin (STZ)-induced diabetic rats and to determine the associated mechanisms. Rats were randomized into four groups: Normal control (N), STZ (S), L (STZ + low-dose GEN) and H (STZ + high-dose GEN). After 8 weeks, the fasting blood glucose (FBG) level, the ratio of kidney weight to body weight (renal index), 24-h urine protein, blood urea nitrogen (BUN), serum creatinine (SCr), renal total antioxidant capacity (T-AOC), superoxide dismutase (SOD), lipid peroxidation (LPO), malondialdehyde (MDA) and hydroxyproline (Hyp) contents were measured. The histomorphology and ultrastructure of the kidney were also assessed. In addition, mRNA expression levels of transforming growth factor-β1 (TGF-β1) and protein expression levels of nuclear factor erythroid 2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1), NAD(P)H:quinone oxidoreductase 1 (NQO1), TGF-β1, mothers against decapentaplegic homolog 3 (Smad3), phosphorylated (p)-Smad3 and collagen IV were estimated. Compared with group N, the levels of FBG, renal index, 24-h urine protein, BUN, SCr, LPO, MDA and Hyp were increased, whereas the levels of T-AOC and SOD were decreased in group S. The structure of renal tissue was damaged, and the expression of Nrf2, HO-1 and NQO1 were reduced, whereas the expression of TGF-β1, Smad3, p-Smad3 and collagen IV were increased in group S. Compared with group S, the aforementioned indices were improved in groups L and H. In conclusion, GEN exhibited reno-protective effects in diabetic rats and its mechanisms may be associated with the inhibition of oxidative stress by activating the Nrf2-HO-1/NQO1 pathway, and the alleviation of renal fibrosis by suppressing the TGF-β1/Smad3 pathway.
Review on Implementation of Power Line Carrier Communication Technique in Smart Grid

Based on the available infrastructure of power grid and bidirectional integrated communication network, Smart Grid (SG) apply advanced measurement and sensing technology, decision and analysis support to build safe technology, economic, reliable, and efficient and environment friendly modern grid. In this paper, emphasize given on brief discussion of various communication technique in SG. Later, out of which Power Line Carrier Communication (PLCC) techniques are explained in detail. Paper discusses benefit; problem arises while implementing technique and various solutions to overcome the problems. A model of 3 Phase High Frequency Power Distribution Transformer which is used for PLCC technique at distribution level is presented.
Inflammation in SLE-PAH: good news or not?

We read with great interest the recent study of Sun et al on the two distinct clinical phenotypes of systemic lupus erythematosus (SLE)–associated pulmonary arterial hypertension (PAH). 1 Based on the baseline characteristics of SLE-PAH, two clusters of patients were identified as vasculitic subtype, which had systemic manifestations and high SLE disease activity, and vasculopathic subtype, which tended to have low disease activity but pure PAH. It showed that the survival of patients with vasculitic subtype was worse than those with vasculopathic subtype. The time interval between the diagnosis of SLE and PAH ( 9) were identified as two independent predictors of vasculitic subtype. A weighted score ≥ 2 combining these two factors (time interval 9, 5–9 and <5 were 2, 1, 0 point) was further developed as prediction model of vasculitic subtype. Peking Union …
Effect of Temperature and Pre-stressed Voltage on Breakdown of Oil-Impregnated Paper

With the rapidly increasing demand for electric power in society, power transformers are expected to exhibit more stresses that accelerate the process of insulation system degradation. However, the effect of temperature and pre-stressed voltage on breakdown of oil immersed paper degradations is still not being fully revealed. In this paper, the electrical degradation of mineral oil impregnated kraft paper has been discovered under variable temperature and the divergent time of varying prestressed voltage. Besides, due to mineral oil-based insulation system of power transformers may contaminate soil after occasional leakage though unsealed seam, the relevant properties of an environmental friendly insulating oil, FR3 fluid is compared with mineral oil. The DC breakdown voltages of mineral oil-paper and FR3 fluid papers respectively decrease by 21 % and 12% with the increase of the oil temperature. The AC breakdown voltage of these two oil-papers does not change significantly with the varying temperature. Besides, the breakdown property of these two oil-papers change significantly with the time of pre-stressed voltage. Finally, considering the insulation performance, heat dissipation performance and sustainable development performance of FR3 and mineral oil-impregnated paper, FR3 fluid is a promising dielectric fluid to replace mineral oil under its application in low voltage level.
Reduced Efficacy of d-Amphetamine and 3,4-Methylenedioxymethamphetamine in Inducing Hyperactivity in Mice Lacking the Postsynaptic Scaffolding Protein SHANK1

Genetic defects in the three SH3 and multiple ankyrin repeat domains (SHANK) genes (SHANK1, SHANK2, and SHANK3) are associated with multiple major neuropsychiatric disorders, including autism spectrum disorder (ASD), schizophrenia (SCZ), and bipolar disorder (BPD). Psychostimulant-induced hyperactivity is a commonly applied paradigm to assess behavioral phenotypes related to BPD and considered to be the gold standard for modeling mania-like elevated drive in mouse models. Therefore, the goal of our present study was to test whether Shank1 plays a role in the behavioral effects of psychostimulants and whether this is associated with genotype-dependent neurochemical alterations. To this aim, male and female null mutant Shank1-/- mice were treated with d-amphetamine (AMPH; 2.5 mg/kg) and 3,4-methylenedioxymethamphetamine (MDMA, commonly known as ecstasy; 20 mg/kg), and psychostimulant-induced hyperactivity was compared to heterozygous Shank1+/- and wildtype Shank1+/+ littermate controls. Results show that Shank1-/- mice display reduced psychostimulant-induced hyperactivity, although psychostimulants robustly stimulated locomotor activity in littermate controls. Shank1 deletion effects emerged throughout development, were particularly prominent in adulthood, and seen in response to both psychostimulants, i.e., AMPH and MDMA. Specifically, while AMPH-induced hyperactivity was reduced but still detectable in Shank1-/- mice, MDMA-induced hyperactivity was robustly blocked and completely absent in Shank1-/- mice. Reduced efficacy of psychostimulants to stimulate hyperactivity in Shank1-/- mice might be associated with alterations in the neurochemical architecture in prefrontal cortex, nucleus accumbens, and hypothalamus. Our observation that psychostimulant-induced hyperactivity is reduced rather than enhanced in Shank1-/- mice clearly speaks against a behavioral phenotype with relevance to BPD. Lack of BPD-like phenotype is consistent with currently available human data linking mutations in SHANK2 and SHANK3 but not SHANK1 to BPD.
Fisetin induces apoptosis in breast cancer MDA‐MB‐453 cells through degradation of HER2/neu and via the PI3K/Akt pathway

Overexpression of human epidermal growth factor receptor 2 (HER2) is observed in breast cancer. The major snag faced by the human population is the development of chemoresistance to HER2 inhibitors by advanced stage breast cancer cells. Moreover, recent researchers focussed on fisetin as an antiproliferative and chemotherapeutic agent. Therefore, this study was intended to analyze the effects of fisetin on HER2/neu‐overexpressing breast cancer cell lines. Our results depicted that fisetin induced apoptosis of these cells by various mechanisms, such as inactivation of the receptor, induction of proteasomal degradation, decreasing its half‐life, decreasing enolase phosphorylation, and alteration of phosphatidylinositol 3‐kinase/Akt signaling.
Vehicle Point of Interest Detection Using In-Car Data

Intelligent transportation systems often identify and make use of locations extracted from GPS trajectories to make informed decisions. However, many of the locations identified by existing systems are false positives, such as those in heavy traffic. Signals from the vehicle, such as speed and seatbelt status, can be used to identify these false positives. In this paper, we (i) demonstrate the utility of the Gradient-based Visit Extractor (GVE) in the automotive domain, (ii) propose a classification stage for removing false positives from the location extraction process, and (iii) evaluate the effectiveness of these techniques in a high resolution vehicular dataset.
Investigating User Experience with Digital Ethnography Approach: Principles and Guidelines

This paper discusses a way ethnography research methodology can be implemented in user experience research and outlines the important issues need to be considered in implementing the methodology. As experience refers to a story emerging from the interactions between people and technology, then ethnography research is considered well suited to reveal various phenomena before, during, and after such interactions. Ethnography data is able to provide various insights into the design processes and the evaluation of a technology design.
Micro-Organisms in Water

that way ; and, therefore, due attention should still be paid to the chemical examination of water supplies, as there is danger that in the hunt after pathogenic bacteria, other larger and equally important matters may be overlooked. This book is well got up and arranged, and very fairly illustrated with woodcuts and a few plates. It starts with a good description of the methods of bacteriological research in reference to water, and of the apparatus required in such
Feature selection and classification for high-dimensional biological data under cross-validation framework

With the advent of high throughput technologies, the high-dimensional datasets are increasingly available. This has not only opened up new insight but also posed analytical challenges. One important problem is selecting the informative feature subset and predicting the future outcome. We propose a two-step framework for feature selection and classification model construction, which utilizes a nested and repeated cross-validation method. We evaluated our approach using both simulated data and publicly available gene expression datasets. The proposed method showed comparatively better predictive accuracy for new cases than the K-fold cross-validation method.
Enhancing Boundary for Video Object Segmentation

Video object segmentation aims to separate objects from background in successive video sequence accurately. It is a challenging task as the huge variance in object regions and similarity between object and background. Among previous methods, inner region of an object can be easily separated from background while the region around object boundary is often classified improperly. To address this problem, a novel video object segmentation method is proposed to enhance the object boundary by integrating video supervoxel into Convolutional Neural Network (CNN) model. Supervoxel is exploited in our method for its ability of preserving spatial details. The proposed method can be divided into four steps: 1) convolutional feature of video is extracted with CNN model; 2) supervoxel feature is constructed through averaging the convolutional features within each supervoxel to preserve spatial details of video; 3) the supervoxel feature and original convolutional feature are fused to construct video representation; 4) a softmax classifier is trained based on video representation to classify each pixel in video. The proposed method is evaluated both on DAVIS and Youtube-Objects datasets. Experimental results show that by considering supervoxel with spatial details, the proposed method can achieve impressive performance for video object segmentation through enhancing object boundary.
Assembly, Release, and Transport of Airway Mucins in Pigs and Humans

&NA; The respiratory system is protected from inhaled particles and microbes by the mucociliary system. This system differs between animal species, where pigs and humans have numerous submucosal glands. The polymer‐forming mucin, MUC5B, is packed in a highly organized way in granules of the mucus‐secreting cells in the glands. Upon secretion, the packed MUC5B is flushed out by a chloride‐ and bicarbonate‐rich fluid from the cystic fibrosis transmembrane conductance regulator‐expressing serosal cells located at the most distal part of the gland. The bicarbonate raises the pH and removes calcium from the N terminus of MUC5B, allowing the mucin to be pulled out into a linear polymer. Thousands of such polymers gather in bundles in the submucosal gland duct, and these bundles appear at the opening of the glands. They are moved by the beating cilia, and sweep over the airway surface and are patchily coated with the MUC5AC mucin from the surface goblet cells. The movement of these bundles is controlled by the MUC5AC mucin attachment/detachment to the goblet cells. Thus, higher animals with submucosal glands and large diameters of the proximal airways are efficiently cleaned by the thick mucus bundles sweeping the airway surface and moving particles and bacteria toward the larynx.
Next-Generation Service Delivery: A Scoping Review of Patient Outcomes Associated with Alternative Models of Genetic Counseling and Genetic Testing for Hereditary Cancer

The combination of increased referral for genetic testing and the current shortage of genetic counselors has necessitated the development and implementation of alternative models of genetic counseling and testing for hereditary cancer assessment. The purpose of this scoping review is to provide an overview of the patient outcomes that are associated with alternative models of genetic testing and genetic counseling for hereditary cancer, including germline-only and tumor testing models. Seven databases were searched, selecting studies that were: (1) full-text articles published ≥2007 or conference abstracts published ≥2015, and (2) assessing patient outcomes of an alternative model of genetic counseling or testing. A total of 79 publications were included for review and synthesis. Data-charting was completed using a data-charting form that was developed by the study team for this review. Seven alternative models were identified, including four models that involved a genetic counselor: telephone, telegenic, group, and embedded genetic counseling models; and three models that did not: mainstreaming, direct, and tumor-first genetic testing models. Overall, these models may be an acceptable alternative to traditional models on knowledge, patient satisfaction, psychosocial measures, and the uptake of genetic testing; however, particular populations may be better served by traditional in-person genetic counseling. As precision medicine initiatives continue to advance, institutions should consider the implementation of new models of genetic service delivery, utilizing a model that will best serve the needs of their unique patient populations.
Real-Time $4\times 3.5$ Gbps Sigma Delta Radio-over-Fiber for a Low-Cost 5G C-RAN Downlink

A 4-lane proof-of-concept real-time sigma-delta-over-fiber system targeting 5G C-RAN downlink is demonstrated using off-the-shelf components. Per lane, an EVM of 2.67% is achieved for a 3.5 Gbps 256-QAM signal modulated at 3.5 GHz over 20-km single-mode fiber at 1310 nm.