Miracle-dz/UniFAR-FTUs huggingface dataset:
ADVANCED POWER QUALITY CONTROL OF ULTRACAPACITOR CONNECTED SOLAR ENERGY SYSTEM INSTEAD OF DC LINK IN DISTRIBUTION LEVEL

This research paper presents a new approach for achieving maximum utilities from the grid-interfacing inverters using the modified PI controller viz., AWPI and SMC controller. When installed 3-phase 4-wire distribution systems to achieve the voltage profile of system. Usually, the photovoltaic energy sources generate power at variable low dc voltage, Thus, the power generated from these renewable sources are interconnect using various converters before connecting on dc-link. In this proposed work, a maximum power point tracking (MPPT) scheme has been used to obtain maximum power from the renewable energy system and DC/DC converter is implemented to maintain a constant DC voltage. The universal inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. System transients are suppressed and normal conditions are quickly restored with shunt APF and Ultracapacitor instead of DC link capacitor. So, it can be concluded that Ultracapacitor based energy storage technology can be used to enhance the operating capability of APF to maintain high quality grid voltage. Ultracapacitor is very fast in charging and discharging compared to traditional DC link capacitors which is needed to restore the system. Finally, the performance of the system can be analyzed and implemented by incorporating Sliding Mode Controller (SMC) and Anti-windup PI (AWPI) controller with modified ultra-capacitor filter circuit in the PI Controller. This new control concept is demonstrated with extensive MATLAB / Simulink.
Next Generation Methods for Development of Enterprise Information Systems

Traditional software development techniques may become expensive and often did not deliver desired results on time. The objective of this thesis is to review the state of the art methods for development of Enterprise information systems. On the proof of concept application created in one of the Low code platforms and usage of automated business process discovery will be evaluated if resources can be saved by using this means instead of traditional means of software development.
Development of a D-Band Traveling Wave Tube for High Data-Rate Wireless Links

Ubiquitous wireless distribution of multigigabit per second data rate for enabling new 5G and 6G paradigms can be only achieved by exploiting the wide frequency bands available in the sub-THz spectrum (90–305 GHz). The high total attenuation at sub-THz, in particular because of rain and humidity, poses a substantial challenge to achieve long links, not yet resolved because of the lack of amplifiers with adequate transmission power. Sub-THz traveling wave tubes (TWTs) are emerging as key components to ensure high signal-to-noise ratio over a large coverage area or for long distance. This article will describe the design and fabrication of a novel TWT for enabling point to multipoint wireless distribution at <inline-formula> <tex-math notation="LaTeX">${D}$ </tex-math></inline-formula>-band (141–148.5 GHz). To be suitable for the wireless market, TWTs need to be low cost and easily manufacturable for large-scale production. The proposed <inline-formula> <tex-math notation="LaTeX">${D}$ </tex-math></inline-formula>-band TWT uses a double corrugated waveguide as slow wave structure and a new electron gun, both designed for easy assembly and low fabrication cost. This article describes the design process, the development of the parts of the TWT, and the first prototype assembly.
Music and Incitement to Violence: Anti-Muslim Hate Music in Burma/Myanmar

This article examines a corpus of Burmese-language anti-Muslim hate songs archived on YouTube. Burma/Myanmar is the site of recent genocidal violence perpetrated against Muslims, and these songs are part of the hate speech campaign that undergirds this violence. Using the definition of incitement articulated by the International Criminal Tribunal for Rwanda, the article shows that the lyrics of these songs constitute incitement to violence. Further, the comments written by YouTube listeners provide evidence that the songs provoke additional dehumanizing speech. The songs and their creators are therefore complicit in the recent violent persecution of Muslims in Myanmar.
Guessing Based on Compressed Side Information

A source sequence is to be guessed with some fidelity based on a rate-limited description of an observed sequence with which it is correlated. The tension between the description rate and the exponential growth rate of the power mean of the required number of guesses is quantified. This can be viewed as the guessing version of the classical indirect-rate-distortion problem of Dobrushin-Tsybakov’62 and Witsenhausen’80. Judicious choices of the correlated sequence, the description rate, and the fidelity criterion recover a number of recent and classical results on guessing. In the context of security, the paper provides conservative estimates on a password’s remaining security after a number of bits from a correlated database have been leaked.
Q-Learning Based Routing Protocol for Congestion Avoidance

: The end-to-end delay in a wired network is strongly dependent on congestion on intermediate nodes. Among lots of feasible approaches to avoid congestion efficiently, congestion-aware routing protocols tend to search for an uncongested path toward the destination through rule-based approaches in reactive/incident-driven and distributed methods. However, these previous approaches have a problem accommodating the changing network environments in autonomous and self-adaptive operations dynamically. To overcome this drawback, we present a new congestion-aware routing protocol based on a Q-learning algorithm in software-defined networks where logically centralized network operation enables intelligent control and management of network resources. In a proposed routing protocol, either one of uncongested neighboring nodes are randomly selected as next hop to distribute traffic load to multiple paths or Q-learning algorithm is applied to decide the next hop by modeling the state, Q-value, and reward function to set the desired path toward the destination. A new reward function that consists of a buffer occupancy, link reliability and hop count is considered. Moreover, look ahead algorithm is employed to update the Q-value with values within two hops simultaneously. This approach leads to a decision of the optimal next hop by taking congestion status in two hops into account, accordingly. Finally, the simulation results presented approximately 20% higher packet delivery ratio and 15% shorter end-to-end delay, compared to those with the existing scheme by avoiding congestion adaptively.
Robust Controller Design For Modified Smith Predictor

The present paper presents control of dead time processes using Sliding Mode Controller (SMC) in a Modified Smith Predictor (MSP) structure. The SMC working principle relies on the reaching phase and the sliding phase where the tuning parameters KD and δ play major roles in the speed, overshoot and chattering effects. Here in this paper, model based tuning rule is used to modify the KD rule/equation and is implemented to different processes with modified smith predictor (MSP) structure to counteract the constant load disturbance for an integrating process. It has been found that the proposed MSP-SMC combination provides improved performance and robustness behavior. The analyses are done for servo and regulatory response cases. Moreover, the robustness and invariance property of the SMC has been analyzed against parametric uncertainty and other various disturbances (noise). The results obtained are compared with that of available methods.
Composited structure of non‐precipitating shallow cumulus clouds

The normalized distributions of thermodynamic and dynamical variables both within and outside shallow clouds are investigated through a composite algorithm using large‐eddy simulations of oceanic and continental cases. The normalized magnitude is maximum near the cloud centre and decreases outwards. While relative humidity (RH) and cloud liquid water ( ql ) decrease smoothly to match the environment, the vertical velocity, virtual potential temperature ( θv ), and potential temperature ( θ ) perturbations have more complicated behaviour towards the cloud boundary. Below the inversion layer, θv′ becomes negative before the vertical velocity has turned from an updraft to a subsiding shell outside the cloud, indicating the presence of a transition zone where the updraft is negatively buoyant. Due to the downdraft outside the cloud and enhanced horizontal turbulent mixing across the edge, the normalized turbulent kinetic energy (TKE) and horizontal turbulent kinetic energy (HTKE) decrease more slowly from the cloud centre outwards than the thermodynamic variables. The distributions all present asymmetric structures in response to the vertical wind shear, with more negatively buoyant air, stronger downdrafts, and larger TKE on the downshear side. We discuss several implications of the distributions for theoretical models and parameterizations. Positive buoyancy near the cloud base is mostly due to the virtual effect of water vapour, emphasizing the role of moisture in triggering. The mean vertical velocity is found to be approximately half the maximum vertical velocity within each cloud, providing a constraint to achieve possible power‐law distributions for some models. Finally, the normalized distributions for different variables are used to estimate the vertical heat and moisture fluxes within clouds. The results suggest that distributions near the cloud edge and variability of maximum perturbations need careful treatment. The fluxes are underestimated in the inversion layer because cloud‐top downdrafts cannot be captured well.
Mechanism of Action and Clinical Significance of Angiogenesis: A Review

Angiogenesis is a complex, sophisticated process, subjected to many different conditions. A number of basic mechanisms of angiogenesis have been deciphered and several targets for therapeutic intervention have been identified. In recent decades, numerous pro and antiangiogenic molecules, as well as their ligands and intracellular signaling pathways, have been identified for treating numerous diseases. For the past decades angiogenesis has been a field under extensive investigation. Tumours depend on the growth of a vascular network, which is stimulated by a variety of angiogenic mediators, providing them with blood and oxygen. Inhibition of these factors and its pathways, there by reducing the growth of blood vessels was major breakthrough in treatment of cancer. Even though anti-angiogenic therapy has gained a lot of progression in the past decade, combination of conventional methods like chemotherapy and radiotherapy along with the antiangiogenic therapy would be more beneficial to the patient. This is a review article to understand the mechanism of action and clinical significance of angiogenesis.
Smart pansharpening approach using kernel-based image filtering

Remote sensing image fusion plays important roles in numerous applications, including monitoring, metrology, and agriculture. Image fusion gathers essential information from several image sources and consolidates them into a single image called a fused image. The fused image involves relevant data, and it is more informative than any other images extracted from one source. This study proposed a pansharpening technique based on image ﬁltering utilising a bilateral ﬁlter to generate high-frequency details from panchromatic image. The various types of side window guided ﬁlters are employed to enhance the multispectral band from panchromatic image and then used these ﬁlters to adjust spatial data misfortune that happens when images are combined. Experimental results demonstrated that the proposed method provides consistent results concise with reported by the previous research in terms of subjective and objective assessments on remote sensing data.
An Efficient Method for Smart Grid Fault Observation with Minimum PMUs

— A power system may have buses that cannot be installed with PMUs for reasons such as non-availability of communication facility, inconvenience in installing PMUs and severe limitation on number of channels of PMUs. Such buses, when identified, are modeled as proposed in this paper. The only solution and partial set of solutions to the fault observability problem (FOP) may not be implemented when such buses are not already known. Therefore, it becomes necessary to determine complete set of solutions to the FOP. A simple yet robust method capable of delivering complete set of global optimal solutions and complete set of the best global optimal solutions to the FOP is proposed in this paper. The method is illustrated through a sample network and it is applied to a real-world transmission system. The illustration and the simulation results on the IEEE 14-Bus system and the IEEE 30-Bus system show that the proposed method is superior to the known methods. The real-world application shows practical importance of the proposed method.
Interpretable Gender Classification from Retinal Fundus Images using BagNets

Deep neural networks (DNNs) are able to predict a person's gender from retinal fundus images with high accuracy, even though this task is usually considered hardly possible by ophthalmologists. Therefore, it has been an open question which features allow reliable discrimination between male and female fundus images. To study this question, we used a particular DNN architecture called BagNet, which extracts local features from small image patches and then averages the class evidence across all patches. The BagNet performed on par with the more sophisticated Inception-v3 model, showing that the gender information can be read out from local features alone. BagNets also naturally provide saliency maps, which we used to highlight the most informative patches in fundus images. We found that most evidence was provided by patches from the optic disc and the macula, with patches from the optic disc providing mostly male and patches from the macula providing mostly female evidence. Although further research is needed to clarify the exact nature of this evidence, our results suggest that there are localized structural differences in fundus images between genders. Overall, we believe that BagNets may provide a compelling alternative to the standard DNN architectures also in other medical image analysis tasks, as they do not require post-hoc explainability methods.
Using mobile health technology to assess childhood autism in low-resource community settings in India: An innovation to address the detection gap

Autism Spectrum Disorders, hereafter referred to as autism, emerge early and persist throughout life, contributing significantly to global years lived with disability. Typically, an autism diagnosis depends on clinical assessments by highly trained professionals. This high resource demand poses a challenge in resource-limited areas where skilled personnel are scarce and awareness of neurodevelopmental disorder symptoms is low. We have developed and tested a novel app, START, that can be administered by non-specialists to assess several domains of the autistic phenotype (social, sensory, motor functioning) through direct observation and parent report. N=131 children (2-7 years old; 48 autistic, 43 intellectually disabled, and 40 typically developing) from low-resource settings in the Delhi-NCR region, India were assessed using START in home settings by non-specialist health workers. We observed a consistent pattern of differences between typically and atypically developing children in all three domains assessed. The two groups of children with neurodevelopmental disorders manifested lower social preference, higher sensory sensitivity, and lower fine-motor accuracy compared to their typically developing counterparts. Parent-report further distinguished autistic from non-autistic children. Machine-learning analysis combining all START-derived measures demonstrated 78% classification accuracy for the three groups (ASD, ID, TD). Qualitative analysis of the interviews with health workers and families (N= 15) of the participants suggest high acceptability and feasibility of the app. These results provide proof of principle for START, and demonstrate the potential of a scalable, mobile tool for assessing neurodevelopmental disorders in low-resource settings.
Labral reconstruction with polyurethane implant

Abstract Surgical treatment of labral injuries has shifted from debridement to preservation over the past decades. Primary repair and secondary augmentation or reconstruction techniques are aimed at restoring the labral seal and preserving or improving contact mechanics. Currently, the standard of care for non-repairable tears favours the use of auto- or allografts. As an alternative, we present our initial experience using a synthetic, off-the-shelf polyurethane scaffold for augmentation and reconstruction of segmental labral tissue loss or irreparable labral damage. Three patients aged 37–44 (two male, one female) with femoroacetabular impingement without associated dysplasia (Wiberg > 25°) or osteoarthritis (Tönnis <2) were included in this series. Labral reconstruction (one case) and augmentation (two cases) were performed using a synthetic polyurethane scaffold developed for meniscal substitution (Actifit®, Orteq Ltd, London, UK) and adapted to the hip. Clinical results were analysed with patient-reported outcomes (PROMs) using non-arthritic hip score (NAHS) and daily live activities hip outcome score (DLA HOS) and magnetic resonance images (MRI) at 2- and 4-year follow-up. Clinically improvement was seen in all PROMs at 4 years. The NAHS scores improved from 57.7 to 82.3 (50.9% improvement) and HOS from 59 to 79.3 (35.3% improvement). Last follow-up MRIs confirmed the presence of the scaffold; however, the scaffold signal was still hyperintense compared to native labrum. There was no shrinkage in any scaffold and no progression to hip osteoarthritis seen. Reconstruction or augmentation of segmental labral defects with a polyurethane scaffold may be an effective procedure. At 4 years after implantation, our small cases series resulted in improved hip joint function, reduced pain and scaffold preservation on follow-up imaging.
Crystal Structures of Pyrogallol, Its Hydrate, and Stable Multiple Z′ Cocrystals with N-Heterocycles Containing Metastable Conformers of Pyrogallol

The solid-state structural landscape of bioactive compound pyrogallol (1,2,3-benzenetriol) is studied. We report crystal structures of pyrogallol, its 0.25 hydrate, and a few cocrystals with aromatic N-heterocycles. The hydroxyl groups of pyrogallol can adopt different conformations in the gas phase and in crystalline modifications, for example, stable conformer “A” in pyrogallol and its hydrate, whereas metastable conformer “C” in cocrystals with isonicotinamide and nicotinamide. The occurrence of high Z′ (maximum of five quinoline and three pyrogallol molecules in cocrystal 6a) and variable stoichiometry of components in cocrystals (e.g., pyrogallol–isonicotinamide 1:2 and 2:1 in 4a and 4b, pyrogallol–quinoline 3:5 and 2:3 in 6a and 6b) is a unique and novel observation in these structures. Grinding and slurry experiments confirmed that the high Z′ cocrystal is quite stable and it does not transform to a low Z′ higher symmetry structure. Given the biological and pharmacological functions of pyrogallol, .
Thiol/disulfide homeostasis impaired in patients with primary Sjögren's syndrome

Background Primary Sjögren's syndrome (pSS) is a disease associated with the overexpression of proinflammatory cytokines, and oxidative stress is one of the factors responsible for its etiopathogenesis. This study aimed to investigate the thiol/disulphide homeostasis in pSS patients. Methods The study included 68 pSS patients and 69 healthy controls. Thiol/disulphide homeostasis (total thiol, native thiol, and disulphide levels) was measured using the automatic spectrophotometric method developed by Erel and Neselioglu, and the results of the 2 groups were compared. Results The gender and age distributions of the pSS and control groups were similar (P = 0.988 and P = 0.065). Total thiol and native thiol levels were lower in the pSS group than in the control group (470.08 ± 33.65 µmol/L vs. 528.21 ± 44.99 µmol/L, P < 0.001, and 439.14 ± 30.67 µmol/L vs. 497.56 ± 46.70 µmol/L, P < 0.001, respectively). There were no differences in disulphide levels between groups [17.00 (range 0.70-217.0) µmol/L vs. 14.95 (range 2.10-40.10) µmol/L, P = 0.195]. Conclusions It was concluded that the thiol/disulphide balance shifted towards disulphide in patients with pSS.
Selpercatinib in RET fusion-positive non-small-cell lung cancer (SIREN): a retrospective analysis of patients treated through an access program

Introduction: Rearranged during transfection (RET) gene fusions are rare genetic drivers in non-small cell lung cancer (NSCLC). Selective RET-inhibitors such as selpercatinib have shown therapeutic activity in early clinical trials; however, their efficacy in the real-world setting is unknown. Methods: A retrospective efficacy and safety analysis was performed on data from RET fusion-positive NSCLC patients who participated in a selpercatinib access program (named patient protocol) between August 2019 and January 2021. Results: Data from 50 patients with RET fusion-positive advanced NSCLC treated with selpercatinib at 27 centers in 12 countries was analyzed. Most patients were Non-Asian (90%), female (60%), never-smokers (74%), with a median age of 65 years (range, 38–89). 32% of the patients had known brain metastasis at the time of selpercatinib treatment. Overall, 13 patients were treatment-naïve, while 37 were pretreated with a median of three lines of therapy (range, 1–8). The objective response rate (ORR) was 68% [95% confidence interval (CI), 53–81] in the overall population. The disease control rate was 92%. The median progression-free survival was 15.6 months (95% CI, 8.8–22.4) after a median follow-up of 9 months. In patients with measurable brain metastases (n = 8) intracranial ORR reached 100%. In total, 88% of patients experienced treatment-related adverse events (TRAEs), a large majority of them being grade 1 or 2. The most common grade ⩾ 3 TRAEs were increased liver enzyme levels (in 10% of patients), prolonged QTc time (4%), abdominal pain (4%), hypertension (4%), and fatigue/asthenia (4%). None of patients discontinued selpercatinib treatment for safety reasons. No new safety concerns were observed, nor where there any treatment-related death. Conclusions: In this real-world setting, the selective RET-inhibitor selpercatinib demonstrated durable systemic and intracranial antitumor activity in RET fusion-positive NSCLC and was well tolerated.