Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential T Cell Levels of Tumor Necrosis Factor Receptor-II in Children With Autism

Autism spectrum disorders (ASD) are characterized by impairments in verbal and non-verbal communication, in social interactions, and often accompanied by stereotypical interests and behaviors. A role for immune dysfunction has long been implicated in ASD pathophysiology, behavioral severity, and co-morbidities. The pro-inflammatory cytokine tumor necrosis factor alpha (TNFα) has been associated with ASD in some studies but little is known about its receptors. There are two receptors for TNFα, with TNFRI relaying many of the signals from TNFα, especially those that are rapid, whilst TNFRII relays later more long-term effects of TNFα. Proteolytic cleavage can lead to the soluble versions of these receptors which can neutralize the effects of TNFα. Here, we determined levels of TNFα and its receptors in 36 children with a confirmed diagnosis of ASD and 27 confirmed typically developing (TD) controls, 2–5 years-of-age. Children with ASD had higher levels of TNFRII on T cells compared to controls following cell stimulation. Levels of sTNFRII were decreased in cell supernatants following stimulation in ASD. Overall these data corroborate the role of inflammatory events in ASD and align with previous studies that have shown differential changes in cellular adaptive immunity in children with ASD. Future longitudinal analyzes of cellular immune function and downstream signaling from immune receptors will help further delineate the role of inflammation in ASD.
Map representation using hidden markov models for mobile robot localization

This paper describes a map representation and localization system for a mobile robot based on Hidden Markov Models. These models are used not only to find a region where a mobile robot is, but also they find the orientation that it has. It is shown that an estimation of the region where the robot is located can be found using the Viterbi algorithm with quantized laser readings, i.e. symbol observations, of a Hidden Markov Model.
Arabic Cyberbullying Detection: Using Deep Learning

As much as internet and smart devices are taking a big role in the lives of children and adolescents, also the threat of Cyberbullying on the lives and wellbeing of those youngsters is rising. The threat of cyberbullying is acknowledged around the world enerally and in the Arabic areas specifically. A lot of research is done for finding automated solutions for cyberbullying detection in several languages, but not much has been done for Arabic Language. At the other hand, a lot of interest is invested in Deep Learning techniques, where Deep Learning has been applied in several areas and showed vast success. Thus this paper proposes a solution that employs Deep Learning methods in the process of Arabic Cyberbullying Detection. Specifically a Feed Forward Neural Network is trained on an Arabic Dataset for the purpose of cyberbullying detection.
Channel Coding in 5G New Radio: A Tutorial Overview and Performance Comparison with 4G LTE

Fifth-generation (5G) new radio (NR) holds promise in fulfilling new communication requirements that enable ubiquitous, low-latency, high-speed, and high-reliability connections among mobile devices. Compared to fourth-generation (4G) long-term evolution (LTE), new error-correcting codes have been introduced in 5G NR for both data and control channels. In this article, the specific low-density parity-check (LDPC) codes and polar codes adopted by the 5G NR standard are described. The purpose of each key component in these codes and the associated operations are explained. Performance and implementation advantages of these new codes are compared with those of 4G LTE.
FoxO Transcription Factor Regulate Hormone Mediated Signaling on Nymphal Diapause

Diapause is a complex physiological adaptation phenotype, and the transcription factor Forkhead-box O (FoxO) is a prime candidate for activating many of its diverse regulatory signaling pathways. Hormone signaling regulates nymphal diapause in Laodelphax striatellus. Here, the function of the FoxO gene isolated from L. striatellus was investigated. After knocking-down LsFoxO in diapausal nymphs using RNA interference, the titers of juvenile hormone III and some cold-tolerance substances decreased significantly, and the duration of the nymphal developmental period was severely shorted to 25.5 days at 20°C under short day-length (10 L:14 D). To determine how LsFoxO affects nymphal diapause, analyses of RNA-sequencing transcriptome data after treatment with LsFoxO–RNA interference was performed. The differentially expressed genes affected carbohydrate, amino acid and fatty acid metabolism, and phosphatidylinositol 3-kinase/protein kinase B signaling pathway. Thus, LsFoxO acts on L. striatellus nymphal diapause and is, therefore, a potential target gene for pest control. This study may lead to new information on the regulation of nymphal diapause in this important pest.
Hunting for the high‐affinity state of G‐protein‐coupled receptors with agonist tracers: Theoretical and practical considerations for positron emission tomography imaging

The concept of the high‐affinity state postulates that a certain subset of G‐protein‐coupled receptors is primarily responsible for receptor signaling in the living brain. Assessing the abundance of this subset is thus potentially highly relevant for studies concerning the responses of neurotransmission to pharmacological or physiological stimuli and the dysregulation of neurotransmission in neurological or psychiatric disorders. The high‐affinity state is preferentially recognized by agonists in vitro. For this reason, agonist tracers have been developed as tools for the noninvasive imaging of the high‐affinity state with positron emission tomography (PET). This review provides an overview of agonist tracers that have been developed for PET imaging of the brain, and the experimental paradigms that have been developed for the estimation of the relative abundance of receptors configured in the high‐affinity state. Agonist tracers appear to be more sensitive to endogenous neurotransmitter challenge than antagonists, as was originally expected. However, other expectations regarding agonist tracers have not been fulfilled. Potential reasons for difficulties in detecting the high‐affinity state in vivo are discussed.
Genetic moderation of the effects of the Family Check-Up intervention on children's internalizing symptoms: A longitudinal study with a racially/ethnically diverse sample

Abstract Development involves synergistic interplay among genotypes and the physical and cultural environments, and integrating genetics into experimental designs that manipulate the environment can improve understanding of developmental psychopathology and intervention efficacy. Consistent with differential susceptibility theory, individuals can vary in their sensitivity to environmental conditions including intervention for reasons including their genotype. As a consequence, understanding genetic influences on intervention response is critical. Empirically, we tested an interaction between a genetic index representing sensitivity to the environment and the Family Check-Up intervention. Participants were drawn from the Early Steps Multisite randomized prevention trial that included a low-income and racially/ethnically diverse sample of children and their families followed longitudinally (n = 515). As hypothesized, polygenic sensitivity to the environment moderated the effects of the intervention on 10-year-old children's symptoms of internalizing psychopathology, such that children who were genetically sensitive and were randomly assigned to the intervention had fewer symptoms of child psychopathology than genetically sensitive children assigned to the control condition. A significant difference in internalizing symptoms assessed with a clinical interview emerged between the intervention and control groups for those 0.493 SD above the mean on polygenic sensitivity, or 25% of the sample. Similar to personalized medicine, it is time to understand individual and sociocultural differences in treatment response and individualize psychosocial interventions to reduce the burden of child psychopathology and maximize well-being for children growing up in a wide range of physical environments and cultures.
Microwave Sensor for Detection of Solid Material Permittivity in Single/Multilayer Samples With High Quality Factor

In this paper, a planar microstrip sensor based on a band-stop filter for determining relative permittivity of solid materials is presented. The proposed sensor has been composed of the structure of meandered microstrip line with a T-shaped resonator and an interdigital structure that is connected ground by via. Interaction between the T-shaped resonator and the interdigital structure is caused to increase electric field intensity and the high field increase the sensor sensitivity and resolution. The microwave sensor by using single layer technology is fabricated on the substrate RO4003. The samples of FR4 and RO4350 in single and double layer forms as multilayer are placed on the sensor, and the sensor is demonstrating different resonance frequencies. The relationship between changing the resonance frequency and variation of the relative permittivity is linear, and it determines unknown materials’ dielectric characterizations. The permittivity of samples changes from 3 to 11; therefore, the resonance frequency varies from 3.7 to 5.65 GHz linearly. The proposed sensor shows improvement relative to other similar works in the fields of sensitivity and quality factor.
Dietary Fatty Acids and Other Nutrients in Relation to Inflammation and Particularly to Oral Mucosa Inflammation. A Literature Review

Abstract Oral mucosa is site of inflammatory process development. When they are chronic, they provide a microenvironment based on cytokines and inflammatory mediators that contribute to cancer initiation, progression, invasion, and metastasis. Certain dietary fatty acids (FAs) have immunomodulatory, inflammatory, and antiinflammatory effects. This review examined the literature on inflammation, mainly referred to the oral mucosa, and its association with dietary FAs and other nutrients. A Pubmed search of studies published in English until June 2018 was carried out. N-3 FAs have shown immunomodulatory and antiinflammatory activity in certain human diseases. These FAs and their mediators may inhibit inflammation, angiogenesis, and cancer via multiple mechanisms. Studies on cellular models of murine and human intestinal mucosa indicate association between dietary n-3 FA intake and the inflammatory state of mucosa membranes. Nevertheless scarce information on the association between dietary FAs and oral inflammation could be found. Based on the evidence, we hypothesize that n-3 FAs reduce the oral mucosa inflammation thus decreasing the risk of developing precancerous lesions and cancer. Molecular and clinical studies referred to this topic should be carried out as a contribution to the oral cancer prevention.
Quran Reciter Identification: A Deep Learning Approach

Speech-based intelligent systems using deep learning are becoming increasingly important due to their wide range of applications in our routine life. Most of the efforts on voice signal processing are limited for the English language. However, little effort has focused on voice signal processing for the Arabic language or for the Quran, which is the central religious book of Islam. In this study, our objective is to develop a deep learning based speaker identification using Quran recitations. We propose the use of Bidirectional Long Short-Term Memory (BLSTM)– a type of Recurrent Neural Networks (RNNs), which are well known for being particularly suitable for speech modeling and processing–for the task of Quranic speaker identification. Our results show that our BLSTM-based Quranic speaker identification delivers significantly improved results compared to previous approaches and is also computationally less expensive.
State Dependency, Low-Frequency Dispersion, and Thermal Effects in Microwave III-V HEMTs

An AlGaN/GaN HEMT- and an InAlAs/lnGaAs mHEMT technology, both with a gate-length of 100 nm, are investigated w.r. t. state dependency vs. average gate and drain voltages, and low-frequency (LF) dispersion, and the separation of thermal effects is demonstrated. Based on a comprehensive DC-CW and pulsed-RF small-signal characterization, it is shown that the GaN HEMT shows all three effects, while the mHEMT is nearly free of state dependency. The description of the LF dispersion using classical large-signal FET models is compared to the recently proposed integral-transform (ITF) model. A product separation approach for the thermal effects and the extraction of thermal parameters via simultaneous equations is described. A new formulation of the ITF model is capable of describing all three above effects in pulsed-RF and even in CW load-pull operation conditions.
The Influence of River Discharge on Nutrient Export and Phytoplankton Biomass Off the Central Chile Coast (33°–37°S): Seasonal Cycle and Interannual Variability

Using in situ hydro-chemical data and MODIS-SeaWiFS ocean color images as a proxy of river plumes and phytoplankton biomass from 2000 to 2014, this study documents the temporal co-variability of river discharge, plume area, nitrate and phosphate export and phytoplankton biomass in the coastal waters off Central Chile (33o-37oS). Five major rivers (Maipo, Mataquito, Maule, Itata and Biobio) drain into this region with annual mean discharge ranging from 120 to 1000 m3 s-1. River discharge and coastal plume area present a marked seasonal cycle, reaching maximum values during the winter rainy season (June-September). Export of riverine nutrients also peaks in winter, leading to an increase in phytoplankton biomass within the plumes that can be twice larger than the background values in coastal areas away from the river mouths. Wintertime river discharge, plume area and nutrient export are also correlated at interannual time scales. During a recent extended dry period (2010-2014), river discharges, plume areas and nutrient export clearly decreased by about 50% compared to historical values, reducing significantly the size of the chlorophyll pool within plumes off Central Chile during winter. The potential impacts of droughts are discussed in terms of coastal ecology and primary production, a highly relevant issue considering the projections of a dry climate over Central Chile in the future. Systematic evidence of mega-drought effects upon coastal productivity still does not exist, but it remains a priority to further investigate and quantify these impacts.
Unified Scheduling for Predictable Communication Reliability in Industrial Cellular Networks

Cellular networks with D2D links are increasingly being explored for mission-critical applications, and it is critical to control interference among concurrent transmissions in a predictable manner to ensure the required communication reliability. To this end, we propose a Unified Cellular Scheduling (UCS) framework that, based on the Physical-Ratio-K (PRK) interference model, schedules uplink, downlink, and D2D transmissions in a unified manner to ensure predictable communication reliability while maximizing channel spatial reuse. UCS also provides a simple, effective approach to mode selection that maximizes the communication capacity for each involved communication pair. UCS effectively uses multiple channels for high throughput as well as resilience to channel fading and external interference. Leveraging the availability of base stations (BSes) as well as highspeed, out-of-band connectivity between BSes, UCS effectively orchestrates the functionalities of BSes and user equipment (UE) for light-weight control signaling and ease of incremental deployment and integration with existing cellular standards. We have implemented UCS using the open-source, standardscompliant cellular networking platform OpenAirInterface. We have validated the OpenAirInterface implementation using USRP B210 software-defined radios and lab deployment. We have also evaluated UCS through high-fidelity, at-scale simulation studies. Our experiments show that UCS ensures predictable communication reliability while achieving a higher channel spatial reuse rate than existing mechanisms. Additionally, the distributed UCS framework enables a channel spatial reuse rate statistically equal to that in the state-of-the-art centralized scheduling algorithm iOrder.
TrueStory: Accurate and Robust RF-Based Floor Estimation for Challenging Indoor Environments

WiFi-based indoor localization systems are popular due to the WiFi ubiquity and availability in commodity smartphone devices for network communication. The majority of these systems focus on finding the user’s 2-D location in a single floor. However, this is of little value when the altitude of the user is unknown in any typical multi-story building. In this paper, we propose TrueStory: a system that can accurately and robustly identify the user’s floor level using the building’s WiFi networks. TrueStory targets challenging environments where the access point (AP) density is not uniform and/or there are open areas that make the APs heard strongly in faraway floors. To handle these challenges, TrueStory employs a number of techniques including signal normalization, AP power equalization, and fusing various learners using a multilayer perceptron neural network. We present the design and implementation of TrueStory and evaluate its performance in three different testbeds. Our evaluation shows that TrueStory can accurately identify the user’s exact floor level up to 91.8% of the time and within one floor error 99% of the time. This improves the floor estimation accuracy over the state-of-the-art systems and reduces the high floor errors by more than 23%. In addition, we show that it has a robust performance for various challenging environments.
Clinical Trial and Preparation of Amniotic Membrane as Dura Mater Artificial

Duraplasty is a common procedure while human dura mater cannot be sutured during surgery and required a dural graft. Some material has been studied as dura mater substitute. One of those materials is amniotic membrane that used frequently in the surgical procedure. A clinical experimental study was performed to analyze the healing of dural in 8 patients at Dr. Soetomo General Hospital Surabaya, Indonesia. The amniotic membrane allograft, had been processed and folded in 16 layers. The membrane was then sutured to cover the dural defect. Ten weeks later, the patient underwent cranioplasty and CSF leakage evaluated by checking the edge of dural. The fibrocyte infiltration was examined histologically. Based on the analysis, the amniotic membrane showed great potential as dura mater artificial.
Simulating Propagation of Spots over Cathodes of High-Power Vacuum Circuit Breakers

Cathode attachment of high-current vacuum arcs, e.g., those in high-power vacuum circuit breakers, represents an ensemble of several hundred of spots operating simultaneously. A natural alternative to tracing individual spots is to employ the concept of surface density of spots in the ensemble. Such approach is pursued in this work. An equation governing the surface density of the spots represents a generalization of the convection-diffusion equation describing the random walk of a single cathode spot in low-current vacuum arcs. The drift velocity is associated with the retrograde motion of the spots in a tangential magnetic field, imposed externally and induced by the arc, and was estimated from experimental data relating the spot drift velocity to transversal and axial magnetic fields. The model is in a reasonably good agreement with the experiment, does not require significant computational resources, and produces results that do not require spatial averaging in order to be matched to existing numerical models of the arc on the whole. Consequently, the model can be readily implemented as a module of global numerical models of the interruption process in high-power vacuum circuit breakers.
Lung Cancer Screening: Implementation of and barriers to a nurse practitioner‐led program

&NA; Lung cancer accounts for more American deaths annually than any other cancer, and the survival rate is low among those diagnosed with advanced‐stage disease. Screening with low‐dose computed tomography (CT) can help to reduce mortality. CT screening for lung cancer should be performed in the context of a comprehensive screening program, rather than as a single isolated test. The addition of the nurse practitioner role is instrumental in creating a lung cancer screening program that may increase patient satisfaction and that meets regulatory criteria. AT A GLANCELung cancer screening with low‐dose CT has been shown to help reduce lung cancer mortality rates.A nurse practitioner is well equipped to evaluate patients, engage in shared decision making, offer smoking cessation guidance, and counsel patients regarding lung nodules within a lung cancer screening program.With the right stakeholders and interprofessional collaboration, development and implementation of a lung cancer screening program can be successfully realized.
Serum neopterin as well as ferritin, soluble interleukin-2 receptor, KL-6 and anti-MDA5 antibody titer provide markers of the response to therapy in patients with interstitial lung disease complicating anti-MDA5 antibody-positive dermatomyositis

Abstract Objective: This study identified biomarkers that can be used to assess disease activity and response to therapy in patients with interstitial lung disease complicating anti-melanoma differentiation-associated gene 5 (MDA5) antibody (Ab)-positive clinically amyopathic dermatomyositis (CADM). Methods: In 15 patients with interstitial lung disease complicating anti-MDA5 Ab-positive CADM, anti-MDA5 Ab, neopterin, interleukin (IL)-18, ferritin, and soluble interleukin 2 receptor (sIL-2R) levels were measured in cryopreserved serum specimens before and at multiple times after remission induction therapy, and their correlations were assessed. Results: Anti-MDA5 Ab, neopterin, IL-18, ferritin, and sIL-2R levels did not differ significantly between patients who survived and those who succumbed to the disease. In many cases, serum anti-MDA5 Ab titers were over the upper limit (over 150 index value) before treatment in the usual measuring method, and gradually decreased to the normal range at stable phase. Meanwhile, serum neopterin levels (21.6 [15.3–48.3] nmol/L) were significantly elevated in newly diagnosed patients and fell to 6.8 (5–11.4) nmol/L at 6 months after treatment introduction. Conclusions: Elevated serum neopterin as well as ferritin, sIL-2R, KL-6, and anti-MDA5 Ab titer might help identify patients with interstitial lung disease complicated with DM and might be useful in monitoring response to therapy.