Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSOCIATION OF SUPRATHERMAL PARTICLES WITH COHERENT STRUCTURES AND SHOCKS

Various mechanisms have been proposed to explain observed suprathermal particle populations in the solar wind, including direct acceleration at flares, stochastic acceleration, shock acceleration, and acceleration by random compression or reconnection sites. Using magnetic field and suprathermal particle data from the Advanced Composition Explorer (ACE), we identify coherent structures and interplanetary shocks, and analyze the temporal association of energetic particle fluxes with these coherent structures. Coherent structures having a range of intensities are identified using the magnetic Partial Variance of Increments statistic, essentially a normalized vector increment. A stronger association of energetic particle flux in the 0.047–4.75 MeV range is found with intense magnetic discontinuities than is found with shocks. Nevertheless, the average profile of suprathermals near shocks is quite consistent with standard models of diffusive shock acceleration, while a significant amount of the energetic particles measured and strong discontinuities are found by ACE within six hours of a shock. This evidence supports the view that multiple mechanisms contribute to the acceleration and transport of interplanetary suprathermal particles.
Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics

This article investigates the adaptive neural tracking control problem for a class of hyperbolic PDE with boundary actuator dynamics described by a set of nonlinear ordinary differential equations (ODEs). Particularly, the control input appears in the ODE subsystem with unknown nonlinearities requiring to be estimated and compensated, which makes the control task rather difficult. It is the first time to consider tracking control of such a class of systems, rendering our contributions essentially different from the existing literature that merely focus on the stabilization problem. By formulating a virtual exosystem to generate a reference trajectory, we propose a novel design of the adaptive geometric controller for the considered system where neural networks (NNs) are employed to approximately estimate nonlinearities, and finite and infinite-dimensional backstepping techniques are leveraged. Moreover, rigorously theoretical proofs based on the Lyapunov theory are provided to analyze the stability of the closed-loop system. Finally, we illustrate the results through two numerical simulations.
Object Classification and Tracking Using Scaled P8 YOLOv4 Lite Model

One of the most difficult tasks in the area of computer vision is object detection, which combines object categorization and object location within a scene. In terms of object detection, Deep Neural Networks have been recently demonstrated to outperform alternative approaches. The issues related deep learning neural network is its complexity and huge computation, so it is not possible to detect and track the objects in image of high resolution in real time. We proposed scaled YOLOv4 lite model as Single Stage Detector Neural Network for object detection, tracking and it is trained using COCO 2017 dataset. To create the YOLOv4-CSP- P5- P6- P7- P8 networks, the Scaled YOLOv4 applied efficient network scaling strategies. The additional layer in YOLOv4 lite model is added as P8 layer which improves accuracy. Cross-stage-partial (CSP) connections and Mish activation are used in improved network design, such as backbone optimization and Neck (PAN). In the case of YOLOv4, however, it can only be trained once for all resolutions. Width and Height activations have been changed, allowing for faster network training. With YOLOv4 lite model, we used CSPDarkNet-53 model as a backbone. The experimental result show our YOLOv4 lite model can detect and track object up to 28 fps when model run with the video input and has an accuracy of 86.09% when tested on real-time video with resolutions 1920 × 1080 (full HD). AP = 50.81%, AP @50 = 63.6%, and AP @75 = 52.5% for CSPDarkNet-53 model backbone.
Chagas Heart Disease: Beyond a Single Complication, from Asymptomatic Disease to Heart Failure

Chagas cardiomyopathy (CC), caused by the protozoan Trypanosoma cruzi, is an important cause of cardiovascular morbidity and mortality in developing countries. It is estimated that 6 to 7 million people worldwide are infected, and it is predicted that it will be responsible for 200,000 deaths by 2025. The World Health Organization (WHO) considers Chagas disease (CD) as a Neglected Tropical Disease (NTD), which must be acknowledged and detected in time, as it remains a clinical and diagnostic challenge in both endemic and non-endemic regions and at different levels of care. The literature on CC was analyzed by searching different databases (Medline, Cochrane Central, EMBASE, PubMed, Google Scholar, EBSCO) from 1968 until October 2022. Multicenter and bioinformatics trials, systematic and bibliographic reviews, international guidelines, and clinical cases were included. The reference lists of the included papers were checked. No linguistic restrictions or study designs were applied. This review is intended to address the current incidence and prevalence of CD and to identify the main pathogenic mechanisms, clinical presentation, and diagnosis of CC.
Effect of Modified Manufacturing Conditions on the Composition of Greek Strained Yogurt and the Quantity and Composition of Generated Acid Whey

Greek strained yogurt is produced in high quantities worldwide. This production leaves behind acid whey, a by-product that is an environmental challenge. Hence, efforts are made to minimize the acid whey generation. In this study, the combined effect of the different heat treatment levels of milk and the different time of straining on the composition of the produced strained yogurt, as well as on the quantity and composition of the expelled acid whey, was investigated. The initial yogurts were prepared with bovine milk heated at 85 °C/16 s or 100 °C/16 s or 90 °C/5 min, and the acid whey was removed by centrifugation (5500 rpm, 5 min, 25 °C) either immediately after incubation or after 24 h. The results showed that, regardless of the heat treatment of milk, straining after 24 h resulted in an 8% increase in the yield in strained yogurt and about an 11% decrease in the generated acid whey, compared to straining immediately after incubation. The heat treatment level of milk significantly influenced the fat, lactose, and total solids contents of the strained yogurts, as well as the residual whey proteins, protein, and total solids contents of acid whey. Yogurt’s sensory properties were not affected significantly. It was concluded that the quantity of the acid whey expelled during the production of Greek strained yogurt could be decreased without affecting the general quality of the yogurt.
An annotated bibliography of lactic acid bacteria in dairy products in Egypt

Lactic acid bacteria attracted the researchers in Egypt long time ago and information related to lactic acid bacteria in Egypt still either mystery or fragmented. By screening of available sources of information, it was possible to figure out a range of 457 studies that could be representing Egyptian Lactic Acid bacteria up to the present time. This work serves as a list of Egyptian published articles since 1973 up to 2022 on lactic acid bacteria to assist the researchers of Egyptian dairy and food industry and worldwide.
Nanoscale chemical state analysis of resistance random access memory device reacting with Ti

The thermal stability of the resistance random access memory material in the reducing atmosphere at the elevated temperature was improved by the addition of Ti. The unipolar resistance switching before and after the postdeposition annealing (PDA) process at 400 °C was confirmed in Pt/CoO/Ti(5 nm)/Pt device, while the severe degradation of the initial resistance occurs in the Pt/CoO/Pt and Pt/CoO/Ti(50 nm)/Pt devices. By investigating the chemical bonding states of Co, O, and Ti using electron energy loss spectroscopy combined with transmission electron microscopy, it was revealed that excess Ti induces the formation of metallic Co, while the thermal stability was improved by trace Ti. Moreover, it was indicated that the filamentary conduction path can be thermally induced after PDA in the oxide layer by analyzing electrical properties of the degraded devices. The adjustment of the reducing elements is quite essential in order to participate in their profits.
A Uniformed DC Magnetic Generator Using Ferromagnetic Slot Cage by Geomagnetism Distortion Cancellation

A widely uniform and highly ambient robust DC magnetic field generator for precise motion sensors using inertial measurement units (IMUs) is newly proposed in this paper. Chronic problems such as low uniformity of magnetic field and geomagnetic disturbance of conventional Helmholtz, Merritt, Rubens, Lee-Whiting, and Tetra coils can be significantly mitigated by the proposed uniform DC magnetic field generator (UFG). Different from the previous air coils, the proposed UFG adopts a core-cage so that a strong and uniform DC magnetic field distribution can be generated inside the cage and that the UFG may be quite magnetically robust to ambient changes such as geomagnetic field and ferromagnetic objects. A dedicated power supply was developed for providing not only a DC current to generate the required magnetic field but also an exponentially decaying AC current to demagnetize the residual magnetic field in the core-cage. Design procedures for the UFG are fully established, considering the manufacturing cost, performance, and mechanical robustness for commercialization. Detailed designs of the UFG for magnetic field generation, enhancing uniformity, geomagnetic cancellation, and demagnetizing of the UFG are provided. Experimental results verified by a 30 cm <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 30 cm <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 30 cm prototype UFG showed that the geomagnetic field inside the UFG was significantly attenuated by 22 dB while the DC magnetic field uniformity (<inline-formula> <tex-math notation="LaTeX">$\theta _{t}< 5.0^{\circ }$ </tex-math></inline-formula>) was achieved over 85% of the total volume of 27,000 cm3.
Sustainable Management of Sugarcane Press Mud Waste as a Ternary Additive in Cement-Lime Stabilization of an Expansive Soil

: Sugarcane Press Mud (SPM) is a waste generated from the sugar industry. India generates about 12 million tonnes of SPM annually and hence, needs effective management. The present study delves into the use of SPM as a ternary blend in cement-lime stabilization of an expansive soil. An expansive soil was stabilized using a combination of 4.5% lime (determined from the Eades and Grim pH test) and a fixed cement content of 1%. The effect of the stabilization was studied by casting cylindrical specimens of dimensions 38 mm x 76 mm and curing them for periods of 7, 14 and 28 days. This process was modified by blending it with SPM as a ternary additive up to 5% in increments of 1%. The optimal dosage of SPM was evaluated for enhanced strength gain which was then subjected to a wet-dry cycle to understand the effect of variation in moisture content. The results of the investigation revealed that cement-lime stabilization of the soil was significantly better than lime stabilization alone. 1% SPM was found to be the optimal dosage required for maximum strength gain. Based on the results, it was concluded that ternary blending of SPM can potentially be beneficial in soil stabilization.
Silicon on insulator Mach–Zehnder waveguide interferometers operating at 1.3 μm

Mach–Zehnder (MZ) waveguide interferometers integrated on SOI (silicon on insulator) for 1.3 μm operation are studied on the basis of the large cross‐section single‐mode rib waveguide condition and the free‐carrier plasma dispersion effect in Si wafer direct bonding SOI by back‐polishing. And the MZ interferometers are fabricated by using KOH anisotropic etching. Their insertion losses and modulation depths are measured to be 4.81 dB and 98%, respectively, at the wavelength of 1.3 μm when a forward bias voltage applied to a p+n junction is 0.95 V and the active zone length of the MZ interferometers is 816.0 μm.
Minimalist transcatheter aortic valve replacement misses paravalvular regurgitation: Incidence and echocardiographic distribution of missed paravalvular regurgitation

Paravalvular regurgitation (PVR) may be missed intraoperatively with transthoracic echocardiography (TTE) guided minimalist TAVR. We sought to determine the incidence and echocardiographic distribution of PVR missed on intra‐op TTE, but detected on predischarge TTE.
Linear prediction in cascade form

The autocorrelation and covariance methods of linear prediction are formulated in terms of an inverse digital filter in cascade form, rather than the traditional direct form, to allow pole locations in the system model to be readily estimated and constrained. Iterative solution of the corresponding nonlinear normal equations is described. Applications to speech analysis and the compensation of biomedical signals are briefly discussed.
Activation Mechanism of RhoA Caused by Constitutively Activating Mutations G14V and Q63L

RhoA, a member of Rho GTPases, regulates myriad cellular processes. Abnormal expression of RhoA has been implicated in various diseases, including cancers, developmental disorders and bacterial infections. RhoA mutations G14V and Q63L have been reported to constitutively activate RhoA. To figure out the mechanisms, in total, 1.8 μs molecular dynamics (MD) simulations were performed here on RhoAWT and mutants G14V and Q63L in GTP-bound forms, followed by dynamic analysis. Both mutations were found to affect the conformational dynamics of RhoA switch regions, especially switch I, shifting the whole ensemble from the wild type’s open inactive state to different active-like states, where T37 and Mg2+ played important roles. In RhoAG14V, both switches underwent thorough state transition, whereas in RhoAQ63L, only switch I was sustained in a much more closed conformation with additional hydrophobic interactions introduced by L63. Moreover, significantly decreased solvent exposure of the GTP-binding site was observed in both mutants with the surrounding hydrophobic regions expanded, which furnished access to water molecules required for hydrolysis more difficult and thereby impaired GTP hydrolysis. These structural and dynamic differences first suggested the potential activation mechanism of RhoAG14V and RhoAQ63L. Together, our findings complemented the understanding of RhoA activation at the atomic level and can be utilized in the development of novel therapies for RhoA-related diseases.
Effect of hafnium germanate formation on the interface of HfO2/germanium metal oxide semiconductor devices

We have studied the thermal stability of HfO2 thin layers on germanium and the substrate interface development. HfO2 was deposited on Ge substrates and annealed in O2 or N2 at 500°C (substrate temperature). After O2 anneal, we observed the formation of hafnium germanate, which is stable at 500°C in N2 as opposed to GeO2 that desorbs as GeO. We believe that this hafnium germanate is an oxygen barrier and as such is at the origin of the much thinner interface between HfO2 and germanium as compared to silicon. In addition, results suggest that the HfGeOx is related to the high interface state density frequently reported for germanium metal oxide semiconductor devices.
Large-scale spatial variability in urban tolerance of birds.

Quantifying intraspecific and interspecific trait variability is critical to our understanding of biogeography, ecology and conservation. But quantifying such variability and understanding the importance of intraspecific and interspecific variability remain challenging. This is especially true of large geographic scales as this is where the differences between intraspecific and interspecific variability are likely to be greatest. Our goal is to address this research gap using broad-scale citizen science data to quantify intraspecific variability and compare it with interspecific variability, using the example of bird responses to urbanization across the continental United States. Using more than 100 million observations, we quantified urban tolerance for 338 species within randomly sampled spatial regions and then calculated the standard deviation of each species' urban tolerance. We found that species' spatial variability in urban tolerance (i.e. standard deviation) was largely explained by the variability of urban cover throughout a species' range (R2 = 0.70). Variability in urban tolerance was greater in species that were more tolerant of urban cover (i.e. the average urban tolerance throughout their range), suggesting that generalist life histories are better suited to adapt to novel anthropogenic environments. Overall, species differences explained most of the variability in urban tolerance across spatial regions. Together, our results indicate that (1) intraspecific variability is largely predicted by local environmental variability in urban cover at a large spatial scale and (2) interspecific variability is greater than intraspecific variability, supporting the common use of mean values (i.e. collapsing observations across a species' range) when assessing species-environment relationships. Further studies, across different taxa, traits and species-environment relationships are needed to test the role of intraspecific variability, but nevertheless, we recommend that when possible, ecologists should avoid using discrete categories to classify species in how they respond to the environment.
Peningkatan kualitas Perguruan Tinggi melalui Sistem Penjamin Mutu dengan Pendekatan Total Quality Managemen

Peningkatan kualitas tidak dapat dicapai tanpa jaminan kualitas yang baik. Peran lembaga penjamin mutu sebagai promotor jaminan kualitas memberikan dampak positif terhadap efektivitas peningkatan kualitas pendidikan tinggi.Tujuan penelitian ini adalah untuk menganalisis upaya-upaya peningkatan kualitas pendidikan tinggi. Motode yang digunakan adalah metode kualitatif deskriptif dengan tekhnik analisis konten. Upaya peningkatan kualitas perguruan tinggi dilakukan dengan Sistem Penjaminan Mutu Internal (SPMI) dan Sistem Penjaminan Mutu Eksternal (SPME) yang dilakukakn oleh lembaga penjamin mutu. Lembaga penjaminan mutu bertujuan untuk peningkatan, inovasi, komunikasi, motivasi dan pengawasan atau control. Penerapan manajemen mutu dilakukan dengan pendekatan Total Quality Managemen. Pendekatan TQM mengintegrasikan input, proses dan keluaran. TQM mengembangkan ukuran kinerja atau kualitas institusi seperti peringkat universitas, kepuasan mahasiswa, dan pekerjaan lulusan
NIM-Nets: Noise-Aware Incomplete Multi-View Learning Networks

Data in real world are usually characterized in multiple views, including different types of features or different modalities. Multi-view learning has been popular in the past decades and achieved significant improvements. In this paper, we investigate three challenging problems in the field of incomplete multi-view representation learning, namely, i) how to reduce the influences produced by missing views in multi-view dataset, ii) how to learn a consistent and informative representation among different views and iii) how to alleviate the impacts of the inherent noise in multi-view data caused by high-dimensional features or varied quality for different data points. To address these challenges, we integrate these three tasks into a problem and propose a novel framework termed Noise-aware Incomplete Multi-view Learning Networks (NIM-Nets). NIM-Nets fully utilize incomplete data from different views to produce a multi-view shared representation which is consistent, informative and robust to noise. We model the inherent noise in data by defining the distribution $\Gamma $ and assuming that each observation in the incomplete dataset is sampled from the distribution $\Gamma $ . To the best of our knowledge, this is the first work to unify learning the consistent and informative representation, alleviating the impacts of noise in data and handling the view-missing patterns in multi-view learning into a framework. We also first give a definition of robustness and completeness for incomplete multi-view representation learning. Based on NIM-Nets, we present joint optimization models for classification and clustering, respectively. Extensive experiments on different datasets demonstrate the effectiveness of our method over the existing work based on classification and clustering tasks in terms of different metrics.
Impulse control of a brownian inventory system with supplier uncertainty

In this paper we consider an inventory system which is driven by several types of uncertainties. First. we assume that when an order is placed. it may not always be available. perhaps due to strikes or embargoes. The durations of the available/unavailable periods are assumed to be random. Second, it is assumed that the inventory level process is a Brownian motion with negative drift. We develop the discounted cost for the infinite horizon problem using renewal arguments. The resulting objective function of two decision variables is minimized for different values of the problem parameters and a sensitivity analysis is provided
Exercise Paucity and Sedentary Routines: Genocide Conduits to Health Impairments in Adult Academics at Great Zimbabwe University

Obesogenic disorders have become a global spotlight that presents manifold challenges on healthcare systems. This study explored sedentary and obesity-oriented trends among Great Zimbabwe University staff in Masvingo. The Human Movement Conceptual Framework underpinned this descriptive study which hinged on the quantitative approach. Its population comprised 100 participants from which 30 male and female academic adults from Great Zimbabwe University School of Education Department were drawn through stratified random sampling. A questionnaire characteristic of WHO s' Global Physical Activity was used to collect data that is presented on tables. Emerging findings revealed overweight and obesity as problematic issues with high prevalence rates of physical redundancy among the adult population. Sedentary lifestyle tendencies significantly affected adult staff members’ physiological health aspects. Emerging findings revealed deficiencies of habitual training frequencies with aerobic-orientations among members, hence a physically latent workforce. The study recommends adults to develop habitual health and fitness training routines and behaviors to abate obesity-overweight trends. Sedentary and high calorific patterns subjugating adults to cardiovascular and atherosclerotic risks and disorders need substantial reductions through multi-systemic and multi-modal fitness regimes to promote health and exercise habits. Re-purposed high intensity progressive aerobic-oriented training dosages are necessary to reduce intramuscular fat levels, physiological frailty, oesteo-articulature impairments and to enhance intra-motor unit efficiencies.