Miracle-dz/UniFAR-FTUs huggingface dataset:
The complete chloroplast genome of Camellia fluviatilis (Theaceae), a wild oil-Camellia species

Abstract Camellia fluviatilis is an important shrub producing edible seed oil, which is widely cultivated in South China. In this study, the complete chloroplast genome was sequenced and analyzed based on the Illumina HiSeq platform. The results showed that the complete chloroplast genome is 157,041 bp with 37.29% GC content, including a large single copy (LSC) region of 86,718 bp, a small single copy (SSC) region of 18,293 bp, and a pair of inverted repeats (IRs) regions of 26,015 bp. There are 128 genes in the chloroplast genome of C. fluviatilis, including 83 protein-coding genes, 8 ribosomal RNAs, and 37 transfer RNAs. Phylogenetic analysis revealed that C. fluviatilis is closely related to C. lanceoleosa, indicating that both belong to the Sect. Paracamellia Sealy.
Study on Driver's Unsafe Gaze Behavior Detection Technology

A system for detecting and evaluating drivers gaze behavior was proposed. A system for recognizing the drivers unsafe gaze behavior was established using multi-level information and fusion decision method as well. The driving environment and condition is complex as well as the gaze behavior characteristics, and given that, a solution consists of patten classification and the multi-information decision-level fusion were put forward to estimate the different kind model of the driver's gaze behavior. In order to test the proposed strategies,the real time driver's gaze behavior detection system was established. The T characteristic curve proposed through the abnormal behavior parameters of the transverse width between the eyes and the vertical distance between mouth and the midpoint of two eyes, combined with the driver's eyelid closure and the proportion and location characteristics of iris - sclera were studied to get the characterization of the drivers gaze status information. The simulation results indicate that the adaptability and accuracy as well as the intelligent level is significantly improved by using the pattern classification and decision-making technology through multi-source information fusion.
Design and implementation of an ultra-low power passive UHF RFID tag

This paper presents a fully integrated passive UHF RFID tag chip complying with the ISO18000-6B protocol. The tag chip includes an RF/analog front-end, a baseband processor, and a 512-bit EEPROM memory. To improve power conversion efficiency, a Schottky barrier diode based rectifier is adopted. A novel voltage reference using the peaking current source is discussed in detail, which can meet the low-power, low-voltage requirement while retaining circuit simplicity. Most of the analog blocks are designed to work under sub-1 V to reduce power consumption, and several practical methods are used to further reduce the power consumption of the baseband processor. The whole tag chip is implemented in a TSMC 0.18 μm CMOS process with a die size of 800 × 800 μm2. Measurement results show that the total power consumption of the tag chip is only 7.4 μW with a sensitivity of −12 dBm.
Research Article Secured privacy preserving opportunistic frame work for Mobile Healthcare Emergency

With the pervasiveness of smart phones and the advance of wireless body sensor networks (BSNs), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has at tracted considerable interest recently. However, the flourish of m-Healthcare still faces many challenges including information security and privacy preservation. In this paper, we propose a secure and privacy -preserving opportunistic computing framework, called SPOC, for m-Healthcare emergency. With SPOC, smart phone resources including computing power and energy can be opportunistically gathered to process the computing intensive personal health information (PHI) during m-Healthcare emergency with minimal privacy disclosure. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in m-Healthcare emergency, we introduce an efficient user-centric privacy access control in SPOC framework, which is based on an attribute-based access control and a new privacy-preserving scalar product computation (PPSPC) technique, and allows a medical user to decide who can participate in the opportunistic computing to assist in processing his overwhelming PHI data. Detailed security analysis shows that the proposed SPOC framework can efficiently achieve user-centric privacy access control in m-Healthcare emergency. In addition, performance evaluations via extensive simulations demonstrate the SPOC’s effectiveness in term of providing high reliable PHI process and transmission while minimizing the privacy disclosure during m-Healthcare emergency
Efficient Intrusion Detection System for SDN Orchestrated Internet of Things

Internet of Things (IoT) can simply be defined as an extension of the current Internet system. It extends the human to human interconnection and intercommunication scenario of the Internet by including things, to bring anytime, anywhere, and anything communication. A discipline in networking evolving in parallel with IoT is Software Defined Networking (SDN). It is an important technology that is aimed to solve the different problems existing in the traditional network systems. It provides a new convenient home to address the different challenges existing in different network-based systems including IoT. One important security challenge prevailing in such SDN-based IoT (SDIoT) systems is guarantying service availability. The ever-increasing denial of service (DoS) attacks are responsible for such service denials. A centralized signature-based intrusion detection system (IDS) is proposed and developed in this work. Random Forest (RF) classifier is used for training the model. A very popular and recent benchmark dataset, CICIDS2017, has been used for training and validating the machine learning (ML) models. An accuracy result of 99.968% has been achieved by using only 12 features on Wednesday’s release of the dataset. This result is higher than the achieved accuracy results of related works considering the original CICIDS2017 dataset. A maximum cross-validated accuracy result of 99.713% has been achieved on the same release of the dataset. These developed models meet the basic requirement of a supervised IDS system developed for smart environments and can effectively be used in different IoT service scenarios.
New solid state opening switches for repetitive pulsed power technology

In 1991 we discovered a semiconductor opening switch (SOS) effect that occurs in p-p-n-n silicon structures at a current density of up to 60 kA/cm. This effect was used to develop high-power semiconductor opening switches in intermediate inductive storage circuits. The breaking power of opening switches was as high as 5 GW with the interrupted current up to 45 kA, reverse voltage up to 1 MV and the current interruption time between 10 and 60 ns [1,2]. The opening switches were assembled from quantity-produced Russian-made rectifying diodes type SDL with hard recovery characteristic. On the basis of experimental and theoretical investigations of the SOS effect new SOS diodes were designed and manufactured by the Electrophysics Institute. The paper gives basic parameters of the SOS diodes. New diodes offer a greater value of the interrupted current and shorter time of current interruption accompanied by a considerable increase in the energy switching efficiency. The new SOS diodes were used to develop repetitive all-solid-state pulsed generators with an output voltage up to 250 kV, pulse repetition rate up to 5 kHz, and pulse duration between 10 and 30 ns. SOS effect among other methods of current switching in semiconductors The basic principles of current switching by semiconductor devices stem from the processes that take place in the low-doped base of the structure: either filling of the base with the electron-hole plasma (current switches) or removal of the electron-hole plasma from the base (current opening switches). For example, the process of current switching by a fast thyristor or a reverse switched dinistor (RSD) represents a slow (~10 s) diffusion filling of the base with excess plasma. Therewith a high density of the switched current vs a low switching speed dj/dt is realized (see Table 1). When current is interrupted, a maximum speed of carriers is achieved in the base of drift step recovery diodes (DSRD). The switching time is as short as -10" s. However the density of the interrupted current is small, because there is no residual plasma in the base at the stage of current interruption. Still shorter switching time of achieved at low current densities in silicon avalanche shapers (SAS) [3]. Table 1. Comparison of semiconductor switching technologies. 10" s can be
Mathematical Modeling Of Melting And Freezing Processes

This reference book presents mathematical models of melting and solidification processes thare are key to the effective performance of latent heat thermal energy storage systems (LHTES), utilized in a wide range of heat transfer and industrial applications. Especially timely, this topic has spurred a growth in research into LHTES applications in energy conservation and utilization, space station power systems, and thermal protection of electronic equipment in hostile environments. Further, interest in mathematical modeling has increased dramatically with the spread of high-powered computers used in most industrial and academic settings. In two sections, the book first describes modeling of phase change processes and then describes applications for LHTES.
Cannabis and road safety: a review of recent epidemiological, driver impairment, and drug screening literature

Cannabis is the most commonly used illicit drug in Australia and is used by a wide section of the community, particularly younger people. Contrary to data from the early to mid-1990s, recent Victorian crash data suggest that the use of cannabis is associated with elevated culpability in crashes. It is therefore timely to draw together the international literature in regard to the issues around cannabis use and road safety. This report reviews the key issues concerning cannabis and road safety, including: patterns of cannabis use; the prevalence of cannabis in the driver population, drivers suspected of driving under the influence, and drivers killed or injured; effects on simulator and on-road driving; detection of cannabis in bodily samples; and measurement of impairment using performance tests such as the Standardised Field Sobriety Test. The report highlights the current gaps in knowledge and documents the specific areas of research that need to be pursued in future studies in order to further enhance our understanding of how cannabis influences driving skills. (a)
Remote-end overvoltage protection on Eskom's transmission lines

This paper explores the application of local and compensated overvoltage protection on Eskom's transmission system, giving examples of problems encountered. The paper describes the need for overvoltage protection; the categorization of overvoltages; application solutions; and Eskom's newly adopted philosophy to improve the application of overvoltage protection.
Seasonal Variation, Fractional Isolation and Nanoencapsulation of Antioxidant Compounds of Indian Blackberry (Syzygium cumini)

Indian blackberry (Syzygium cumini L.) is an evergreen tree in the Myrtaceae family. It is used in traditional medicine due to its significant bioactivities and presence of polyphenols with antioxidant activities. The present study describes the effect of seasonal variations on Indian blackberry leaf essential oil yield and chemical composition, production of fractions from essential oil using high vacuum fractional distillation and slow cooling to low temperature (−50 °C) under vacuum, and bioactivities of the essential oil, fractions, and nanoparticles. The results show that Indian blackberry essential oil yield was higher in spring season as compared to winter season. Indian blackberry essential oil fractionation processes were effective in separating and concentrating compounds with desired bioactivities. The bioactivities shown by magnesium nanoparticles were comparatively higher than barium nanoparticles.
Identifikasi Behavioral Intention dengan Pendekatan Technology Acceptance Model

Penelitian ini bertujuan untuk mengetahui perceived usefulness, perceived ease of use, dan perceived trust terhadap behavioral intention dalam menggunakan Go-Pay di Kabupaten Garut. Dalam penelitian ini populasi yang digunakan sebagai sampel sebanyak 100 responden. Penulis menggunakan data primer yaitu dengan menyebarkan kuesioner terhadap pengguna Go-Pay di Kabupaten Garut dan melakukan wawancara terhadap pengguna Go-Pay serta Psikolog. Metode penelitian yang digunakan adalah mixed method dan teknik pengumpulan data yang digunakan penulis adalah studi kepustakaan, kuesioner, dan penelitian lapangan, sedangkan teknik pengolahan data yang digunakan penulis adalah analisis regresi linier berganda dan koefisien determinasi dengan bantuan software SPSS (Statistical Package Social Science) versi 23. Berdasarkan hasil penelitian yang dilakukan penulis menunjukkan bahwa perceived usefulness dan perceived ease of use terhadap behavioral intention dalam menggunakan Go-Pay di Kabupaten Garut memiliki pengaruh yang siginifikan dimana pengguna merasakan manfaat yang cukup banyak dari menggunakan Go-Pay, tetapi untuk perceived trust terhadap behavioral intention dalam menggunakan Go-Pay di Kabupaten Garut tidak memiliki pengaruh yang signifikan bahwa pengguna akan kembali menggunakan Go-Pay dalam transaksinya.
Robust Stability of Discrete-time Singularly Perturbed Systems with Nonlinear Perturbation

This paper is concerned with the robust stability and stabilization problems of discrete-time singularly perturbed systems (DTSPSs) with nonlinear perturbations. A proper sufficient condition via the fixed-point principle is proposed to guarantee that the given system is in a standard form. Then, based on the singular perturbation approach, a linear matrix inequality (LMI) based sufficient condition is presented such that the original system is standard and input-to-state stable (ISS) simultaneously. Thus, it can be easily verified for it only depends on the solution of an LMI. After that, for the case where the nominal system is unstable, the problem of designing a control law to make the resulting closed-loop system ISS is addressed. To achieve this, a sufficient condition is proposed via LMI techniques for the purpose of implementation. The criteria presented in this paper are independent of the small parameter and the stability bound can be derived effectively by solving an optimal problem. Finally, the effectiveness of the obtained theoretical results is illustrated by two numerical examples.
On the modeling and optimization of Schottky varactor frequency multipliers at submillimeter wavelengths

Schottky varactor frequency multipliers are used to generate local oscillator power at millimeter and submillimeter wavelengths. The equivalent circuit of the Schottky varactor contains a junction capacitance, a junction conductance, a series resistance and a model for electron velocity saturation. At millimeter wavelengths the equivalent circuit is affected by the edge effects, which are due to the small-area circular anode. The correction factors due to the edge effect for the junction capacitance and for the series resistance are available in the literature. In this work the electron velocity saturation is modeled by limiting the velocity of the transition front between the depleted and undepleted layer. By using this model the maximum current of the diode is given by the actual area of the transition front between depleted and undepleted layers, and is therefore related to the capacitance correction factor. The new model has been tested by analyzing a two diode balanced doubler for 160 GHz presented earlier in the literature. The agreement between the theoretical results and the measurements is excellent. The new diode model is useful in optimization of varactors for high millimeter and submillimeter wave frequencies. >
Improving Cardiac Reprogramming for Heart Regeneration in Translational Medicine

Direct reprogramming of fibroblasts into CM-like cells has emerged as an attractive strategy to generate induced CMs (iCMs) in heart regeneration. However, low conversion rate, poor purity, and the lack of precise conversion of iCMs are still present as significant challenges. In this review, we summarize the recent development in understanding the molecular mechanisms of cardiac reprogramming with various strategies to achieve more efficient iCMs. reprogramming. Specifically, we focus on the identified critical roles of transcriptional regulation, epigenetic modification, signaling pathways from the cellular microenvironment, and cell cycling regulation in cardiac reprogramming. We also discuss the progress in delivery system optimization and cardiac reprogramming in human cells related to preclinical applications. We anticipate that this will translate cardiac reprogramming-based heart therapy into clinical applications. In addition to optimizing the cardiogenesis related transcriptional regulation and signaling pathways, an important strategy is to modulate the pathological microenvironment associated with heart injury, including inflammation, pro-fibrotic signaling pathways, and the mechanical properties of the damaged myocardium. We are optimistic that cardiac reprogramming will provide a powerful therapy in heart regenerative medicine.
Differential impact of inflammasome-induced extracellular vesicles on immune cells: key control by the functional state of the recipient cell

Inflammasomes are cytoplasmic multiprotein complexes that survey the cytosol of immune cells for pathogen contamination or cellular perturbation by sensing stimuli that activate an inflammatory response and integrating their downstream signaling (1). They act as innate immune sensors and, in response to pathogens/cell damage, trigger pyroptosis, a lytic form of programmed cell death. The term “inflammasome” has been originally coined by Martinon et al. in 2002 who reported the assembly of cytosolic complexes which lead to proteolytic activation of caspases and inflammation (2). Inflammasomes consist of a sensor protein (NLRC4, NLRP or AIM2 protein), an inflammatory caspase, and in some cases an adaptor protein, such as ASC (the adaptor molecule apoptosis-associated speck-like protein containing a CARD). Inflammasomes are activated by a multiplicity of pathogen-derived or endogenous factors, often in an inflammasome-specific fashion (e.g., NLRP1 or NLRC4 activation by anthrax lethal toxin or bacterial flagellin, respectively). The inflammasome subtype most frequently involved in inflammation is NLRP3, typically activated by agents that form plasma membrane pores (e.g., nigericin or extracellular ATP) and thus cause a large intracellular K efflux. Once assembled and activated, the NLRP3 inflammasome triggers pro-caspase-1 cleavage, which generates the enzymatically active caspase-1 that in turn drives the enzymatic activation of the pro-inflammatory cytokines IL-1β and IL-18, as well as of gasdermins, a family of pore-forming effector proteins (Figure 1). Gasdermins have a homologous N-terminal gasdermin domain, which upon proteolytic removal of the inhibitory C-terminal domain forms a pore in the plasma membrane that causes membrane permeabilization, cell swelling and pyroptosis (3). Appropriate inflammasome activation is vital for the immune cells to cope with pathogens or tissue damage, but aberrant inflammasome activation is associated to uncontrolled tissue responses and various inflammatory diseases. Some inflammasome sensors, such as NLRP3, have been identified as drivers of chronic inflammatory pathologies. In particular, gain-of-function mutations in NLRP3 inflammasomes cause cryopyrin-associated periodic syndromes (CAPS) that are characterized by chronic systemic inflammation. Extracellular NLRP3 inflammasome oligomeric particles have been previously identified in the supernatant of activated macrophages and in the blood of CAPS patients (4). It has long been known that one of the functional consequence of inflammasome activation is the release of extracellular vesicles (EVs) from immune cells (5-8). EVs are heterogeneous membrane structures released by all cell types, which contain and transfer cellular components from a donor to a recipient cell and act as potent mediators of cell-to-cell communication. Immune cells-derived EVs, i.e., released by monocytes, microglia, dendritic cells and macrophages, were originally reported to serve as an Editorial Commentary
Spasticity, Pain, and Fatigue

Abstract Purpose The purpose of this study was to determine whether spasticity, pain, and fatigue symptoms were related to functional outcomes in people with stroke. Design A longitudinal correlation design was used. Methods Twenty-two stroke patients experiencing spasticity, pain, and fatigue were followed for 7 days over 6 weeks: 3 days in acute rehabilitation units, 3 days postdischarge to home/community, and an additional 1 day at 1 month postdischarge. Demographics, numeric ratings, and PROMIS tools were used to determine associations over time. Results Pain was related to fine motor activities on admission. Fatigue was significantly associated with activities of daily living, motor functions, mobility, and ability to perform physical tasks at 1 month. Spasticity was significantly related to activities of daily living, pain experiences and fatigue at 1 month. Conclusions Symptoms of spasticity, pain, and fatigue were associated with functional outcomes in this sample of patients. Clinical Relevance to Rehabilitation Nursing Symptoms can influence physical recovery; therefore, nurses could improve care through recognition of suspected correlation of symptoms in people with stroke.
Botulinum Toxin Injections for Treatment of Drooling in Children with Cerebral Palsy: A Systematic Review and Meta-Analysis

Background: We aimed to review and analyse the effectiveness and safety of botulinum toxin type A (BoNT-A) injections for drooling in children with cerebral palsy. Data sources: We searched the EMBASE, MEDLINE, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library) databases from inception to January 2020. Methods: We included randomized controlled trials and observational studies which (1) involved children with cerebral palsy, (2) used BoNT-A for control of drooling, and (3) provided quantitative evaluations of drooling before and after intervention with BoNT-A. Results: Twenty-one trials met the inclusion criteria. Most studies showed that BoNT-A injections are safe and efficacious as a treatment for drooling in children with cerebral palsy. Four trials had sufficient data to pool the results for the meta-analysis. Both the drooling quotient (p = 0.002) and drooling Ffrequency and severity scale (p = 0.004) supported this conclusion. Conclusion: BoNT-A injections are a safe, reversible, effective treatment for drooling control in children with cerebral palsy that can offer effectiveness for more than 3 months with few side effects. The dosage of BoNT-A should not exceed 4 units/kg. Further studies are required to determine the optimal dosage and target glands.