Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning Based Intrusion Detection Scheme to Detect Replay Attacks in Smart Grid

Smart grid involves bi-directional communication among producer and consumer. Further, advanced metering infrastructure in smart grid facilitates transformation of consumer as prosumer through intelligent scheduling. As smart grid incorporates automatic control, communication techniques and information technology, protection against cyber attack is mandate. Though variety of cyber attacks is feasible in smart grid, the proposal addresses the detection mechanism for one of the predominant attacks namely replay attack using machine learning. In replay attack, legitimate node is compromised by the attacker and hence, the node will be sending older messages repeatedly at frequent intervals. In such scenario, the receiving node is busy and is not able to provide service for other legitimate nodes. Further, the older message may cause malfunctioning of control system which is undesirable. To evade this, machine learning based intrusion detection scheme for replay attack detection is proposed. The proposal is implemented in real time using voltage and current sensors, Arduino, Zigbee and Raspberry Pi and the data is monitored through Thing Speak. Further, the data from the Zigbee is collected through XCTU and is fed as input to the pool of machine learning algorithms implemented in MATLAB. The time stamp of the node is used to classify the data either as normal or malicious. Among the algorithms, fine Gaussian Support Vector Machine exhibits better performance metrics when compared with rest of the algorithms which clearly depicts the suitability of the model.
Case report: Two cases of Poirier-Bienvenu neurodevelopmental syndrome and review of literature

The Poirier-Bienvenu neurodevelopmental syndrome (POBINDS) is a rare disease caused by mutations in the CSNK2B gene, which is characterized by intellectual disability and early-onset epilepsy. Mosaicism has not been previously reported in CSNK2B gene. POBINDS is autosomal dominant and almost all reported cases were de novo variants. Here, we report two patients were diagnosed with POBINDS. Using Whole Exome Sequencing (WES), we detected two novel CSNK2B variants in the two unrelated individuals: c. 634_635del (p.Lys212AspfsTer33) and c.142C > T (p.Gln48Ter) respectively. Both of them showed mild developmental delay with early-onset and clustered seizures. The patient with c. 634_635del(p.Lys212AspfsTer33) variant was mutant mosaicism, and the proportion of alleles in peripheral blood DNA was 28%. Further, the literature of patients with a de novo mutation of the CSNK2B gene was reviewed, particularly seizure semiology and genotype-phenotype correlations.
Study of Polarization-insensitive Fiber Optic Interferometers for Wavelength Demodulation

During the wavelength demodulation of fiber laser sensors,random fluctuations in states of polarization of the interferometer beams induce fading of the interferometric fringe visibility,that effects the reliability of the system.To improve the fringe visibility of output signal,a simple and useful way is proposed which called the Faraday rotator mirror method.In theory domain,take the Jones matrix into calculated,seemed that when the degrees of Faraday rotator mirrors around 45°,the results would suit the system,and this had been finely testified by experiments.
Transfer Learning for Image-Based Malware Detection for IoT

The tremendous growth in online activity and the Internet of Things (IoT) led to an increase in cyberattacks. Malware infiltrated at least one device in almost every household. Various malware detection methods that use shallow or deep IoT techniques were discovered in recent years. Deep learning models with a visualization method are the most commonly and popularly used strategy in most works. This method has the benefit of automatically extracting features, requiring less technical expertise, and using fewer resources during data processing. Training deep learning models that generalize effectively without overfitting is not feasible or appropriate with large datasets and complex architectures. In this paper, a novel ensemble model, Stacked Ensemble—autoencoder, GRU, and MLP or SE-AGM, composed of three light-weight neural network models—autoencoder, GRU, and MLP—that is trained on the 25 essential and encoded extracted features of the benchmark MalImg dataset for classification was proposed. The GRU model was tested for its suitability in malware detection due to its lesser usage in this domain. The proposed model used a concise set of malware features for training and classifying the malware classes, which reduced the time and resource consumption in comparison to other existing models. The novelty lies in the stacked ensemble method where the output of one intermediate model works as input for the next model, thereby refining the features as compared to the general notion of an ensemble approach. Inspiration was drawn from earlier image-based malware detection works and transfer learning ideas. To extract features from the MalImg dataset, a CNN-based transfer learning model that was trained from scratch on domain data was used. Data augmentation was an important step in the image processing stage to investigate its effect on classifying grayscale malware images in the MalImg dataset. SE-AGM outperformed existing approaches on the benchmark MalImg dataset with an average accuracy of 99.43%, demonstrating that our method was on par with or even surpassed them.
Density-functional theory study of the effect of pressure on the elastic properties of CaB6

Under high pressure, the long believed single-phase material CaB6 was latterly discovered to have a new phase tI56. Based on the density-functional theory, the pressure effects on the structural and elastic properties of CaB6 are obtained. The calculated bulk, shear, and Young's moduli of the recently synthesized high pressure phase tI56-CaB6 are larger than those of the low pressure phase. Moreover, the high pressure phase of CaB6 has ductile behaviors, and its ductility increases with the increase of pressure. On the contrary, the calculated results indicate that the low pressure phase of CaB6 is brittle. The calculated Debye temperature indicates that the thermal conductivity of CaB6 is not very good. Furthermore, based on the Christoffel equation, the slowness surface of the acoustic waves is obtained.
A Case Study of Coupling between Low- and Upper-Level Jet Front Systems: Investigation of Dynamical and Diabatic Processes

Abstract An example of coupling between an upper-level and a low-level jet–front system is analyzed using the mesoscale hydrostatic model SALSA. The case study chosen is the cold front sampled during the intensive observation period 2 of the Mesoscale Frontal Dynamic Project FRONTS 87 experiment (11 November 1987). Two prominent features of the cold front are a well-developed undulation and a frontal band ahead of the undulation. Dynamic and diabatic processes of the coupling are investigated through the results of two numerical simulations: full physics and adiabatic. In particular, the roles of ageostrophic circulations are investigated through the decomposition of the ageostrophic wind into its isentropic components: the advective inertial and the diabatic inertial components, and the isallobaric component. In both simulations it is shown that the low-level branch of the indirect and transverse ageostrophic circulation, associated with the exit region of the upper-level jet streak, is the origin of the.
An 8-bit 3.5 GS/s Current Steering DAC for Wireless Applications

A segmented 8-bit 3.54 GS/s current-steering digital-to-analog converter (CSDAC) designed and simulated in 130 nm CMOS technology. The spurious-free dynamic range (SFDR) that represents the CSDAC linearity is ranged from 65.7 dB at 11 MHz signal frequency to 54 dB at 1.770 GHz with an effective number of bits (ENOB) equals to 7.97 bits at a low frequency while degraded across the input frequency to reach 7.67 bit at 1.77 GHz.
Children with Special Needs In the Eyes of Islamic Law and the State

This study aimed to analyze the legal view Islam and law Positive on the rights of children with disabilities. This research is categorized as field research, and is a type of qualitative research. Then this research also uses an empirical sociological approach, namely non-doctrinal research that is based on primary data. The results of this study show that children with disabilities in South Tangerang City are divided into two categories, namely adults and children. The number for adults is 28 people and for children there are 22 people. People with disabilities are given various trainings that can foster creativity and increase their confidence so they don't feel isolated. In addition, people with disabilities are assisted to open up and undergo the skills process free of charge during the training. The law for the protection of children with disabilities in the Qur'an is contained in two verses, namely: Qs. Abasa 1-10 and Qs. Al-Fath 17. Then the Positive law is contained in Article 5 Paragraph (1) of the Law of the Republic of Indonesia Number 8 of 2016 concerning Persons with Disabilities.
From Quantum AN (Sutherland) to E8 Trigonometric Model: Space-of-Orbits View ?

A number of affine-Weyl-invariant integrable and exactly-solvable quantum models with trigonometric potentials is considered in the space of invariants (the space of orbits). These models are completely-integrable and admit extra particular integrals. All of them are characterized by (i) a number of polynomial eigenfunctions and quadratic in quantum numbers eigenvalues for exactly-solvable cases, (ii) a factorization property for eigenfunctions, (iii) a rational form of the potential and the polynomial entries of the met- ric in the Laplace{Beltrami operator in terms of affine-Weyl (exponential) invariants (the same holds for rational models when polynomial invariants are used instead of exponential ones), they admit (iv) an algebraic form of the gauge-rotated Hamiltonian in the expo- nential invariants (in the space of orbits) and (v) a hidden algebraic structure. A hidden algebraic structure for (A B C D)-models, both rational and trigonometric, is related to the universal enveloping algebra Ugln. For the exceptional (G F E)-models, new, infinite- dimensional, finitely-generated algebras of differential operators occur. Special attention is given to the one-dimensional model with BC1 (Z2) T symmetry. In particular, the BC1 origin of the so-called TTW model is revealed. This has led to a new quasi-exactly solvable model on the plane with the hidden algebra sl(2) sl(2).
Mountains exhibit a stronger latitudinal diversity gradient than lowland regions

The latitudinal diversity gradient (LDG) is a well‐explored biogeographical pattern, yet regional differences across geographical and geomorphological areas have been poorly examined. Here, we compare the magnitude of the LDG between mountain and lowland regions and hypothesize that the LDG is much stronger in mountain ranges due to their high species packing and turnover.
Study on the influence of magnetic field on the performance of a 5 kW hall thruster

Hall thruster is a kind of plasma optics device, which is used mainly in space propulsion. To study the influence of magnetic field on the performance of a 5 kW hall thruster, a two-dimensional PIC-MCC model was built. The Bohm diffusion was modeled by using a Brownian motion instead of the Bohm collision method and the near-wall conduction was modeled by a secondary electron emission model. When the mass flow rate is 5 mg/s, the thruster performance like thrust, efficiency and discharge current was simulated under a discharge voltage from 300 to 1,000 voltage. At first, the performance under constant magnetic field was simulated. The results showed that the magnetic field could not restrain the electrons as the discharge voltage increased. Later, the performance under varied magnetic field was simulated. The results showed that increasing the magnetic field strength with the increasing discharge voltage could restrain the electrons more efficiently, which proved that increasing the magnetic field strength is necessary for high specific impulse operation of hall thruster. At last, the performance measurement experiment of the thruster was carried out, and the experimental results verified the accuracy of the simulation results.
Propagating beam analysis of multimode waveguide tapers

We analyze both slowly and rapidly varying tapers with the aid of the propagating beam method. Our results demonstrate that while the optimal longitudinal profile for slowly varying profiles is independent of the taper length, the optimum profile of a taper which varies rapidly with respect to the inverse of the average propagation constant difference of adjacent modes must be determined computationally in each case from the given values of its length and initial and final width parameters. We also analyze the region of validity of local normal mode perturbation theory in representative taper configurations.
Case Series of Precision Delivery of Methylprednisolone in Pediatric Inflammatory Bowel Disease: Feasibility, Clinical Outcomes, and Identification of a Vasculitic Transcriptional Program

Systemic steroid exposure, while useful for the treatment of acute flares in inflammatory bowel disease (IBD), is associated with an array of side effects that are particularly significant in children. Technical advancements have enabled locoregional intraarterial steroid delivery directly into specific segments of the gastrointestinal tract, thereby maximizing tissue concentration while limiting systemic exposure. We investigated the feasibility of intraarterial steroid administration into the bowel in a cohort of nine pediatric patients who had IBD. This treatment approach provided symptom relief in all patients, with sustained relief (>2 weeks) in seven out of nine; no serious adverse effects occurred in any patient. In addition, we identified patterns of vascular morphologic changes indicative of a vasculopathy within the mesenteric circulation of inflamed segments of the bowel in pediatric patients with Crohn’s disease, which correlated with disease activity. An analysis of publicly available transcriptomic studies identified vasculitis-associated molecular pathways activated in the endothelial cells of patients with active Crohn’s disease, suggesting a possible shared transcriptional program between vasculitis and IBD. Intraarterial corticosteroid treatment is safe and has the potential to be widely accepted as a locoregional approach for therapy delivery directly into the bowel; however, this approach still warrants further consideration as a short-term “bridge” between therapy transitions for symptomatic IBD patients with refractory disease, as part of a broader steroid-minimizing treatment strategy.
Prediction of Workload under Distraction using Supervised Learning Algorithms

The complexity of activities in high-risk affairs is increasing daily because of advances in pervasive computing and contemporary interactive technologies. Numerical dexterity and accuracy are critical in various fields such as medical emergency, flights and space travel, radiation sensitive substance managing, defence and border security. Previous research has emphasised the role of attention involving number crunching and the mental exertion it entails. And yet, there is a dearth of research quantifying cognitive load while manipulating stimuli according to the proximity and similarity principles of Gestalt theory. The present research attempts to bridge this gap by capturing neurophysiological data during numerical estimation tasks with induced distraction by conflicting Gestalt perception and then employing predictive analytics methods. Pupillometry and Electroencephalography (EEG) are neurophysiological tools extensively employed in the study of mental load in various settings. This study reviews two dual segregation algorithms like eXtreme gradient boosting (XGBoost) and AutoML that are used for cognitive load identification. The dataset considered the power spectral density (PSD), motivation index (Frontal Alpha Asymmetry), relative power of EEG frequency bands, and pupil dilation. It was seen that as cognitive task load increased the Low beta frequency EEG waves (12.5-18 Hz) became more prominent, and were most active in the frontal regions. Right pupil dilation and frontal theta PSD were also noticed along with that. The significance of the study is to select the fewest or most informative modalities for monitoring in actual working contexts.
Using Trees to Capture Reticulate Evolution

The historic relationship of species and genes are traditionally depicted using trees. However, not all evolutionary histories are adequately captured by bifurcating processes and an increasing amount of research is devoted towards using networks or network-like structures to capture evolutionary history. Lateral gene transfer (LGT) is a previously controversial mechanism responsible for non tree-like evolutionary histories, and is today accepted as a major force of evolution, particularly in the prokaryotic domain. In this thesis, we present models of gene evolution incorporating both LGTs and duplications, together with efficient computational methods for various inference problems. Specifically, we define a biologically sound combinatorial model for reconciliation of species and gene trees that facilitates simultaneous consideration of duplications and LGTs. We prove that finding most parsimonious reconciliations is NP-hard, but that the problem can be solved efficiently if reconciliations are not required to be acyclic—a condition that is satisfied when analyzing most real-world datasets. We also provide a polynomial-time algorithm for parametric tree reconciliation, a problem analogous to parametric sequence alignment, that enables us to study the entire space of optimal reconciliations under all possible cost schemes. Going beyond combinatorial models, we define the first probabilistic model of gene evolution incorporating a birth-death process generating duplications, LGTs, and losses, together with a relaxed molecular clock model of sequence evolution. Algorithms based on Markov chain Monte Carlo (MCMC) techniques, methods from numerical analysis, and dynamic programming are presented for various probability and parameter inference problems. Finally, we develop methods for analysis of cancer progression, a biological process with many similarities to the process of evolution. Cancer progresses by accumulation of harmful genetic aberrations whose patterns of emergence are graph-like. We develop a model of cancer progression based on trees, and mixtures thereof, that admits an efficient structural EM algorithm for finding Maximum Likelihood (ML) solutions from available cross-sectional data.
Treatment of Fracture-Related Infections with Bone Abscess Formation after K-Wire Fixation of Pediatric Distal Radius Fractures in Adolescents—A Report of Two Clinical Cases

Closed reduction and K-wire fixation of displaced distal radius fractures in children and adolescents is an established and successful surgical procedure. Fracture-related infections after K-wire fixation are rare but can have significant consequences for the patient. There is a lack of literature on the treatment of K-wire-associated fracture-related infections in children and adolescents. Herein, we report two cases of fracture-related infection after initial closed reduction and Kirschner wire fixation in two adolescents. One 13-year-old boy and one 11-year-old girl were seen for fracture-related infections 4 and 8 weeks after closed reduction and percutaneous K-wire fixation of a distal radius, respectively. X-ray and magnetic resonance imaging (MRI) revealed a healed fracture with osteolytic changes in the metaphyseal radius with periosteal reaction and abscess formation of the surrounding soft tissue structures. A two-staged procedure was performed with adequate debridement of the bone and dead space management with an antibiotic-loaded polymethyl methacrylate (PMMA) spacer at stage 1. After infection control, the spacer was removed and the defect was filled with autologous bone in one case and with a calcium sulphate–hydroxyapatite biomaterial in the other case. In each of the two patients, the infection was controlled and a stable consolidation of the distal radius in good alignment was achieved. In one case, the epiphyseal plate was impaired by the infection and premature closure of the epiphyseal plate was noted resulting in a post-infection ulna plus variant. In conclusion, a fracture-related infection after Kirschner wire fixation of pediatric distal radius fractures is a rare complication but can occur. A two-stage procedure with infection control and subsequent bone defect reconstruction was successful in the presented two cases. Premature closure of the epiphyseal growth plate of the distal radius is a potential complication.
Efficacy and Safety of Dapagliflozin in Patients With Chronic Kidney Disease Across the Spectrum of Frailty

Abstract Background A sizeable proportion of patients with chronic kidney disease (CKD) are reported to be frail. Here we examined the safety and efficacy of dapagliflozin in patients with CKD by frailty level. Methods Adults with CKD, with/without type 2 diabetes, with an estimated glomerular filtration rate (eGFR) of 25–75 mL/min/1.73 m2, and urinary albumin-to-creatinine ratio 200–5 000 mg/g were randomized to dapagliflozin (10 mg/day) or placebo. The primary endpoint was a composite of sustained ≥50% eGFR decline, end-stage kidney disease (ESKD), or death from kidney or cardiovascular (CV) causes. Results Frailty index (FI), assessed by Rockwood cumulative deficit approach, was calculable in 4 303/4 304 (99.9%) patients: 1 162 (27.0%) in not-to-mildly frail (FI ≤0.210), 1 642 (38.2%) in moderately frail (FI 0.211–0.310), and 1 499 (34.8%) in severely frail categories (FI >0.311). Dapagliflozin reduced the risk of the primary composite endpoint across all FI categories (hazard ratios [95% confidence interval {CI}]: 0.50 [0.33–0.76], 0.62 [0.45–0.85], and 0.64 [0.49–-0.83], respectively; p-interaction = 0.67). Results were similar for secondary outcomes including kidney composite outcome (sustained ≥50% eGFR decline, ESKD or death from kidney cause; p-interaction = 0.44), CV endpoint (heart failure hospitalization or CV death; p-interaction = 0.63), and all-cause mortality (p-interaction p = .42). Results were consistent when using FI as a continuous variable. Occurrence of serious adverse events was numerically lower in patients receiving dapagliflozin versus placebo in all FI categories (16.9% vs 20.1%, 26.3% vs 30.7%, and 42.9% vs 47.8%, in not-to-mildly, moderately, and severely frail categories, respectively). Conclusions The relative benefit of dapagliflozin for all outcomes was consistent across all frailty categories, with no difference in associated safety.