Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Self-Interference Cancellation and Experimental Results of 2×2 MIMO In-Band Full-Duplex Radio Front-End

This paper presents experimental results of self-interference cancellation of a 2×2 MIMO in-band full-duplex radio front-end. The proposed RF front-end consists of two rat race coupler and four antennas network, where passive suppression is done, and four self-interference reference generator, where active cancellation is done by making identical signal with residual self-interference signal, then subtracting it from received signal. As every antenna, followed by two rat race couplers, is used for transmitting and receiving simultaneously, MIMO antenna network can be constructed maintaining its own passive suppression. Also, a new type of time delay circuit, having high dynamic range of variable time and wideband performance, is used to be fit to arbitrary residual self-interference, after the passive suppression, and achieve wideband self-interference cancellation. Experimental results show 50-dB self-interference cancellation over 90-MHz, centered at 2.53 GHz.
Microgrid Reliability Evaluation Using Distributed Energy Storage Systems

Reliability assessment of power systems is a very important factor to judge utilities and suppliers. Many suppliers lose millions of dollars because of the failure happening in their systems. Although these failures are out of control and cannot be avoided strictly, there are methods developed to enhance the reliability of power systems to minimize the number of failures and they work very efficiently. Integrating an energy storage system (ESS) with the power system is one of these methods to enhance the reliability. This paper presents the effects of integrating an ESS with a microgrid on the reliability evaluation and compares between the reliability indices of the microgrid without the ESS and with it. Also, dynamic programming is used to solve the unit commitment problem in both cases to calculate the production cost in both cases. The simulation results and numerical analysis depict the effectiveness of the proposed approach.
Automated Software Vulnerability Testing Using Deep Learning Methods

The paper provides a state of current technologies, which are used for automated vulnerability testing in software. Features of fuzzing technology (which is based on making many inputs with different mutated data) are also studied. The essence of the algorithm is the selection of input data, which are more likely to cause a failure or incorrect behavior of the software product. Deep learning algorithms are used to reduce the computational complexity of the testing process. Using a simple fuzzer and Deep Reinforcement Learning algorithm shows that the number of mutations required to detect vulnerabilities is reduced by 30%.
Dynamic N-Gram System Based on an Online Croatian Spellchecking Service

As an infrastructure able to accelerate the development of natural language processing applications, large-scale lexical n-gram databases are at present important data systems. However, deriving such systems for world minority languages as it was done in the Google n-gram project leads to many obstacles. This paper presents an innovative approach to large-scale n-gram system creation applied to the Croatian language. Instead of using the Web as the world’s largest text repository, our process of n-gram collection relies on the Croatian online academic spellchecker Hascheck, a language service publicly available since 1993 and popular worldwide. Our n-gram filtering is based on dictionary criteria, contrary to the publicly available Google n-gram systems in which cutoff criteria were applied. After 12 years of collecting, the size of the Croatian n-gram system reached the size of the largest Google Version 1 n-gram systems. Due to reliance on a service in constant use, the Croatian n-gram system is a dynamic one. System dynamics allowed modeling of n-gram count behavior through Heaps’ law, which led to interesting results. Like many minority languages, the Croatian language suffers from a lack of sophisticated language processing systems in many application areas. The importance of a rich lexical n-gram infrastructure for rapid breakthroughs in new application areas is also exemplified in the paper.
Influence of atmospheric turbulence on the control of flying robotics systems

Small-sized robotized unmanned flying vehicles are exposed to non-deterministic disturbances caused by the environment in which they operate. This research investigates the influence of the disturbances caused by the atmospheric turbulence. The deviation from the desired flight trajectory in such conditions is evaluated through a MATLAB computer simulation of LQR control of quadrotor. The proposed experimental setup can be used for comparison and evaluation of other trajectory tracking control methods.
A Preliminary Study on Identifying Probable Biomarker of Type 2 Diabetes using Recursive Feature Extraction

Microarray technology has the ability to measure the level expression of thousand genes by single experiment and it can be used by biologist to study about the effect of treatments, disease and developmental stages on their expressions. Microarray based on gene expression profiling can be used to observing the response of expression genes to pathogens and identify which expressions genes are changed by comparing the expression in infected to that uninfected cells or tissue. Type 2 diabetes mellitus is a metabolic disorder that causes an increase in blood sugar due to decreased insulin secretion by pancreatic beta cells and insulin disorder (insulin resistance). The number of incidences of diabetes mellitus in Indonesia reached 10 million and 53% from the patients do not realized that they are infected and 90% case of diabetes from whole world is type 2 of diabetes. Therefore, in this paper, we identify probable biomarker of type 2 diabetes using microarray based on gene expression data. But the risk of using microarray data is the large dimension of data so have to find a way how to solve that problem to get a good prediction result. In this paper will use recursive feature extraction for predicting biomarkers of diabetes mellitus type 2 from microarray gene expression data.
Therapeutic-induced hypertension in patients with noncardioembolic acute stroke

Objective To evaluate the safety and efficacy of induced hypertension in patients with acute ischemic stroke. Methods In this multicenter randomized clinical trial, patients with acute noncardioembolic ischemic stroke within 24 hours of onset who were ineligible for revascularization therapy and those with progressive stroke during hospitalization were randomly assigned (1:1) to the control and intervention groups. In the intervention group, phenylephrine was administered intravenously to increase systolic blood pressure (SBP) up to 200 mm Hg. The primary efficacy endpoint was early neurologic improvement (reduction in NIH Stroke Scale [NIHSS] score of ≥2 points during the first 7 days). The secondary efficacy endpoint was a modified Rankin Scale score of 0 to 2 at 90 days. Safety outcomes included symptomatic intracranial hemorrhage/edema, myocardial infarction, and death. Results In the modified intention-to-treat analyses, 76 and 77 patients were included in the intervention and control groups, respectively. After adjustment for age and initial stroke severity, induced hypertension increased the occurrence of the primary (odds ratio 2.49, 95% confidence interval [CI] 1.25–4.96, p = 0.010) and secondary (odds ratio 2.97, 95% CI 1.32–6.68, p = 0.009) efficacy endpoints. Sixty-seven (88.2%) patients of the intervention group exhibited improvements in NIHSS scores of ≥2 points during induced hypertension (mean SBP 179·7 ± 19.1 mm Hg). Safety outcomes did not significantly differ between groups. Conclusion Among patients with noncardioembolic stroke who were ineligible for revascularization therapy and those with progressive stroke, phenylephrine-induced hypertension was safe and resulted in early neurologic improvement and long-term functional independence. ClinicalTrials.gov identifier NCT01600235. Classification of evidence This study provides Class III evidence that for patients with acute ischemic stroke, therapeutic-induced hypertension increases the probability of early neurologic improvement.
Myopalladin promotes muscle growth through modulation of the serum response factor pathway

Myopalladin (MYPN) is a striated muscle‐specific, immunoglobulin‐containing protein located in the Z‐line and I‐band of the sarcomere as well as the nucleus. Heterozygous MYPN gene mutations are associated with hypertrophic, dilated, and restrictive cardiomyopathy, and homozygous loss‐of‐function truncating mutations have recently been identified in patients with cap myopathy, nemaline myopathy, and congenital myopathy with hanging big toe.
Magnetic resonance‐guided radiation therapy: A review

Magnetic resonance‐guided radiation therapy (MRgRT) is a promising approach to improving clinical outcomes for patients treated with radiation therapy. The roles of image guidance, adaptive planning and magnetic resonance imaging in radiation therapy have been increasing over the last two decades. Technical advances have led to the feasible combination of magnetic resonance imaging and radiation therapy technologies, leading to improved soft‐tissue visualisation, assessment of inter‐ and intrafraction motion, motion management, online adaptive radiation therapy and the incorporation of functional information into treatment. MRgRT can potentially transform radiation oncology by improving tumour control and quality of life after radiation therapy and increasing convenience of treatment by shortening treatment courses for patients. Multiple groups have developed clinical implementations of MRgRT predominantly in the abdomen and pelvis, with patients having been treated since 2014. While studies of MRgRT have primarily been dosimetric so far, an increasing number of trials are underway examining the potential clinical benefits of MRgRT, with coordinated efforts to rigorously evaluate the benefits of the promising technology. This review discusses the current implementations, studies, potential benefits and challenges of MRgRT.
Bringing fear into focus: The intersections of HIV and masculine gender norms in Côte d’Ivoire

This qualitative research study explored the role of masculinity in men’s engagement in the HIV care continuum in Côte d’Ivoire. The researchers conducted 73 in-depth interviews and 28 focus group discussions with 227 Ivoirian men between November and December 2016 across three urban sites. Participants in the study expressed that fear was the primary barrier to HIV testing and treatment. These men described five value domains–health, sexuality, work and financial success, family, and social status. Men saw HIV as a direct threat to their agency and strength with respect to each of these value domains, thus shedding light on their reluctance to discover their HIV status through HIV testing. With this data, the researchers created the Masculine Values Framework, a descriptive framework of masculine values that can be applied to better understand the behavior men exhibit in Côte d’Ivoire in the face of HIV. The Masculine Values Framework offers practical guidance for developing gender-sensitive HIV-focused social and behavior change programming in Côte d’Ivoire and similar contexts to reach the UNAIDS 90-90-90 targets.
How using assistive technology for cognitive impairments improves the participation and self-determination of young adults with intellectual developmental disabilities

In Norway, where all citizens are entitled to live in their own homes in their local communities, people with intellectual disabilities receive community-based home care services that aim to promote their ability to live on their own. In our study, we investigated how using an assistive device for cognitive impairment – namely, a memo planner (MP) – in community-based home care services affected the everyday lives of people with intellectual developmental disabilities (IDD). Our sample consisted of seven young adults with IDD and their support staff. Data were collected during field observations and group interviews and analysed via systematic text condensation. The findings illuminate how using an MP can structure the daily lives of young adults with IDD and afford them opportunities to participate in everyday activities. In this article, we discuss how using an MP shapes interactions between people with IDD and their support staff.
Radiologic common data elements rates in pediatric mild traumatic brain injury

Objective The nosology for classifying structural MRI findings following pediatric mild traumatic brain injury (pmTBI) remains actively debated. Radiologic common data elements (rCDE) were developed to standardize reporting in research settings. However, some rCDE are more specific to trauma (probable rCDE). Other more recently proposed rCDE have multiple etiologies (possible rCDE), and may therefore be more common in all children. Independent cohorts of patients with pmTBI and controls were therefore recruited from multiple sites (New Mexico and Ohio) to test the dual hypothesis of a higher incidence of probable rCDE (pmTBI > controls) vs similar rates of possible rCDE on structural MRI. Methods Patients with subacute pmTBI (n = 287), matched healthy controls (HC; n = 106), and orthopedically injured (OI; n = 71) patients underwent imaging approximately 1 week postinjury and were followed for 3–4 months. Results Probable rCDE were specific to pmTBI, occurring in 4%–5% of each sample, rates consistent with previous large-scale CT studies. In contrast, prevalence rates for incidental findings and possible rCDE were similar across groups (pmTBI vs OI vs HC). The prevalence of possible rCDE was also the only finding that varied as a function of site. Possible rCDE and incidental findings were not associated with postconcussive symptomatology or quality of life 3–4 months postinjury. Conclusion Collectively, current findings question the trauma-related specificity of certain rCDE, as well how these rCDE are radiologically interpreted. Refinement of rCDE in the context of pmTBI may be warranted, especially as diagnostic schema are evolving to stratify patients with structural MRI abnormalities as having a moderate injury.
Body dysmorphic disorder in patients attending a dermatology clinic in Nigeria: sociodemographic and clinical correlates*

Background: Body dysmorphic disorder is a relatively common psychiatric disorder in the context of dermatology and cosmetic and plastic surgery but is underdiagnosed and underreported in Africa. Objective: To evaluate the prevalence of body dysmorphic disorder and symptoms of anxiety/depression and determine their sociodemographic and clinical correlates. Methods: A systematic random sampling design was made to recruit 114 patients with skin diseases. Sociodemographic and clinical data were obtained. The Body Dysmorphic Disorder Modification of the Yale-Brown Obsessive-Compulsive Scale, Hospital Anxiety and Depression Scale was administered, and data were analyzed using SPSS 20. Results: Mean age of participants was 37.70±17.47 years, and 67/114 (58.8%) were females. Prevalence of body dysmorphic disorder was 41/114 (36.0%), and prevalence of anxiety/depression symptoms was 35/114 (30.7%). Prevalence of body dysmorphic disorder in patients with anxiety/depression symptoms was 15/41 (36.6%), and patients with facial disorders expressed the highest burden of anxiety/depression symptoms, in 15/35 (42.9%). Factors associated with significantly higher mean body dysmorphic disorder include age<50years (p=0.039), and anxiety/depression (p<0.001), education below high school was associated with higher mean anxiety/depression score (P= 0.031). In a binary logistic regression model, presence of anxiety/depression symptoms was predictive of body dysmorphic disorder (OR=10.0, CI: 4.1-28.2, p<0.001). Study limitations: the study is uncontrolled, conducted in a single source of care, thus limiting generalization to nonrelated settings. Conclusion Prevalence of body dysmorphic disorder is high among dermatology patients and most prevalent in facial disorders. Facial diseases are associated with the highest burden of anxiety/depression symptoms. This is a clarion call for dermatologists to routinely assess for body dysmorphic disorder and appropriately refer affected patients to mental health care.
Effect of COD loading on nitrification ability and microbial communities of activated sludge from aerobic nitrifying reactor.

In this study, we explored the effect of COD loading on the nitrification ability and microbial communities in activated sludge isolated from an aerobic nitrifying tank. The activated sludge was cultured in three different COD groups (L-COD: 200 mg/L; M-COD: 1200 mg/L; H-COD: 4200 mg/L). The results indicated that the COD exerts a negligible effect on the nitrogen removal ability within the first 24 h. However, the nitrification rate decreased with the culture time and the ammonium degradation rates were found to be 80.26%, 57.56%, and 43.43% at 72 h in the three COD groups, respectively. These values correspond to decreases of 19.40%, 41.83%, and 51.48% in relation to those observed at 24 h. The activated sludge in the different COD groups exhibited similar community compositions after 24 h as assessed by Illumina high-throughput sequencing, while a significant difference in the relative abundances of some organisms occurred after 48 and 72 h. Proteobacteria was the main phylum with a relative abundance of > 51.45%. The genera Aridibacter, Paracoccus, Nitrospira, and Nitrosomonas were suppressed by COD loading over time. This study may help extend our knowledge about the nitrification ability and microbial communities in activated sludge at different COD loading levels.
Passive Monitoring of Short-Acting Beta-Agonist Use via Digital Platform in Patients With Chronic Obstructive Pulmonary Disease: Quality Improvement Retrospective Analysis

Background Digital health programs assist patients with chronic obstructive pulmonary disease (COPD) to better manage their disease. Technological and adoption barriers have been perceived as a limitation. Objective The aim of the research was to evaluate a digital quality improvement pilot in Medicare-eligible patients with COPD. Methods COPD patients were enrolled in a digital platform to help manage their medications and symptoms as part of their routine clinical care. Patients were provided with electronic medication monitors (EMMs) to monitor short-acting beta-agonist (SABA) use passively and a smartphone app to track use trends and receive feedback. Providers also had access to data collected via a secure website and were sent email notifications if a patient had a significant change in their prescribed inhaler use. Providers then determined if follow-up was needed. Change in SABA use and feasibility outcomes were evaluated at 3, 6, and 12 months. Results A total of 190 patients enrolled in the pilot. At 3, 6, and 12 months, patients recorded significant reductions in daily and nighttime SABA use and increases in SABA-free days (all P<.001). Patient engagement, as measured by the ratio of daily active use to monthly active use, was >90% at both 6 and 12 months. Retention at 6 months was 81% (154/190). Providers were sent on average two email notifications per patient during the 12-month program. Conclusions A digital health program integrated as part of standard clinical practice was feasible and had low provider burden. The pilot demonstrated significant reduction in SABA use and increased SABA-free days among Medicare-eligible COPD patients. Further, patients readily adopted the digital platform and demonstrated strong engagement and retention rates at 6 and 12 months.
SIK3 suppresses neuronal hyperexcitability by regulating the glial capacity to buffer K+ and water

Glia regulate ion and water homeostasis to regulate neuronal excitability. Li et al. describe a SIK3/HDAC4/Mef2 signaling axis in Drosophila that controls the glial capacity to buffer potassium and water via expression of key transport molecules. Disruption of this program causes nerve edema, neuronal hyperexcitability, and seizure.
The anion transporter SLC26A9 localizes to tight junctions and is degraded by the proteasome when co-expressed with F508del–CFTR

Mutations in the gene encoding the cystic fibrosis transmembrane conductance regulator (CFTR) disrupt epithelial secretion and cause cystic fibrosis (CF). Available CFTR modulators provide only modest clinical benefits, so alternative therapeutic targets are being explored. The anion-conducting transporter solute carrier family 26 member 9 (SLC26A9) is a promising candidate, but its functional expression is drastically reduced in cells that express the most common CF-associated CFTR variant, F508del–CFTR, through mechanisms that remain incompletely understood. Here, we examined the metabolic stability and location of SLC26A9 and its relationship to CFTR. Compared with SLC26A9 levels in BHK cells expressing SLC26A9 alone or with WT–CFTR, co-expression of SLC26A9 with F508del–CFTR reduced total and plasma membrane levels of SLC26A9. Proteasome inhibitors increased SLC26A9 immunofluorescence in primary human bronchial epithelial cells (pHBEs) homozygous for F508del–CFTR but not in non-CF pHBEs, suggesting that F508del–CFTR enhances proteasomal SLC26A9 degradation. Apical SLC26A9 expression increased when F508del–CFTR trafficking was partially corrected by low temperature or with the CFTR modulator VX-809. The immature glycoforms of SLC26A9 and CFTR co-immunoprecipitated, consistent with their interaction in the endoplasmic reticulum (ER). Transfection with increasing amounts of WT–CFTR cDNA progressively increased SLC26A9 levels in F508del–CFTR-expressing cells, suggesting that WT–CFTR competes with F508del–CFTR for SLC26A9 binding. Immunofluorescence staining of endogenous SLC26A9 and transfection of a 3HA-tagged construct into well-differentiated cells revealed that SLC26A9 is mostly present at tight junctions. We conclude that SLC26A9 interacts with CFTR in both the ER and Golgi and that its interaction with F508del–CFTR increases proteasomal SLC26A9 degradation.