Miracle-dz/UniFAR-FTUs huggingface dataset:
Metal–Organic Frameworks–Based Memristors: Materials, Devices, and Applications

Facing the explosive growth of data, a number of new micro-nano devices with simple structure, low power consumption, and size scalability have emerged in recent years, such as neuromorphic computing based on memristor. The selection of resistive switching layer materials is extremely important for fabricating of high performance memristors. As an organic-inorganic hybrid material, metal-organic frameworks (MOFs) have the advantages of both inorganic and organic materials, which makes the memristors using it as a resistive switching layer show the characteristics of fast erasing speed, outstanding cycling stability, conspicuous mechanical flexibility, good biocompatibility, etc. Herein, the recent advances of MOFs-based memristors in materials, devices, and applications are summarized, especially the potential applications of MOFs-based memristors in data storage and neuromorphic computing. There also are discussions and analyses of the challenges of the current research to provide valuable insights for the development of MOFs-based memristors.
Preferential carbon etching by hydrogen inside hexagonal voids of 6H-SiC(0001)

6H-SiC(0001) samples have been etched in a hot-wall chemical vapor deposition reactor at a hydrogen pressure of 13 mbar at 1800 ° C . The surface morphology and elemental composition have been studied by scanning electron microscopy and micro-Auger analysis. Stoichiometric etching of SiC with equal atomic concentrations of Si and C is found on the flat sections of the surface, but in hexagonal voids of the SiC samples, a selective removal of C, leading to a pure Si surface at the bottom of the voids, is observed. Fast gas diffusion is the main transport mechanism for etching of the flat surface, while Knudsen diffusion becomes important inside the voids. It is proposed that the lower diffusion constant of reaction products containing Si compared to those containing C, leads to a preferential removal of C and a Si enrichment inside the voids.
Pilot study on early detection of dental demineralization based on laser induced fluorescence

Laser induced autofluorescence spectroscopy of enamel and teeth at different artificial demineralization stage irradiated by 403 nm semiconductor laser were investigated. The quantitative evaluation parameter of mineral content is built on the basis of the fluorescence characteristic spectrum of 443 nm and 526 nm ratio to the total fluorescence integral. In the end, the dependence of characteristic spectrum on the excitation light power was experimentally investigated. The results reveal that at least 10 mW power is necessary to stimulate the featured spectrum.
Probe absorption–dispersion spectra of a driven three-level atom in a double-band photonic crystal

The probe absorption–dispersion spectra of a driven three-level atom in a double-band photonic crystal have been investigated. We use the model which assumes the upper levels of the atomic transitions coupled via a classical driving field. One of the transitions interacts with the free vacuum modes, and the other transition couples to the modes of the modified reservoir (photonic band gap). The effect of the classical driving field on the absorption–dispersion spectra of an atom is investigated in detail. Most interestingly, it is shown that the atom becomes transparent to a probe laser field coupled to the free space transition, and slow group velocities are obtained near the transparency window.
Effect of asymmetric Schottky barrier on GaN-based metal-semiconductor-metal ultraviolet detector

An asymmetric Schottky barrier metal-semiconductor-metal (MSM) ultraviolet (UV) detector with Ni/GaN/Au structure was designed and the effect of the asymmetric Schottky barrier on the detector response was investigated. This detector had response at 0 V bias and increased responsivity when a positive bias was applied to the Ni/GaN contact; however, the internal gain disappeared when a negative bias was applied to this point. This contrasts with a symmetric Ni/GaN/Ni Schottky barrier MSM UV detector which had no internal gain under positive/negative bias and almost no response at 0 V bias. The improved performance of the asymmetric Schottky barrier detector was because of the lower work function of Au causing reduction of Schottky barrier and hence enhancing a hole-accumulating and trapping process, which resulted in internal gain.
Replication Technology for Micro/Nano Optical Components

Micro/nano replication processes, including micro/nano thermal forming (compression molding and hot embossing), UV-molding, micro injection molding, and glass micro molding are regarded as the most promising mass-production methods for micro/nano optical components because they offer high repeatability, mass producibility with low-cost and versatility in terms of molding material selection. To replicate micro/nano optical components, it is required to prepare the mold inserts that have the cavities of the same shape as the components. One can use any established methods to make mold, such as direct machining, wet etching, dry etching, electroforming, compaction and sintering, and so on. This paper reviews the general issues on mold fabrication and replication technologies for micro/nano optical components with our recent work and results in these areas.
Targeting Nitric Oxide: Say NO to Metastasis

Abstract Utilizing targeted therapies capable of reducing cancer metastasis, targeting chemoresistant and self-renewing cancer stem cells, and augmenting the efficacy of systemic chemo/radiotherapies is vital to minimize cancer-associated mortality. Targeting nitric oxide synthase (NOS), a protein within the tumor microenvironment, has gained interest as a promising therapeutic strategy to reduce metastatic capacity and augment the efficacy of chemo/radiotherapies in various solid malignancies. Our review highlights the influence of nitric oxide (NO) in tumor progression and cancer metastasis, as well as promising preclinical studies that evaluated NOS inhibitors as anticancer therapies. Lastly, we highlight the prospects and outstanding challenges of using NOS inhibitors in the clinical setting.
A large‐scale horizontal routing model to be coupled to land surface parametrization schemes

The main focus of this paper is the time series analysis of the precipitation-runoff process with transfer functions. Starting from there, a horizontal routing model is constructed to be coupled to the existing land surface parametrization (LSP) schemes which provide the lower boundary conditions in numerical weather prediction and atmospheric general circulation models. As these models currently have a resolution of 10 km−300 km (what we some kind of arbitrary define as the “large scale”), it will be assumed that the horizontal routing process can be lumped as a linear time invariant system. While the main physical properties of the soil (temperature, moisture) and all physical processes (partition of the energy and water fluxes) have to be represented by an LSP scheme, the coupling with a simple routing scheme allows the direct comparison of predicted and measured streamflow data as an integrated quantity and validation tool for both, the atmospheric and the LSP model. The main task of the routing scheme is to preserve the horizontal travel time of water within each grid box as well as from grid box to grid box in the coupled model to first order, while the correct amount of runoff must be given by the LSP scheme. Inverse calculation also allows the direct estimation of runoff which should have been produced by an LSP scheme. As we don't want to deal with snow processes the scheme is applied from February to November. DOI: 10.1034/j.1600-0870.1996. t01-3-00009.x
Experimental demonstration of the Deutsch-Jozsa algorithm in homonuclear multispin systems

Despite early experimental tests of the Deutsch-Jozsa (DJ) algorithm, there have been only a very few nontrivial balanced functions tested for register number n > 3. In this paper, we experimentally demonstrate the DJ algorithm in four-and five-qubit homonuclear spin systems by the nuclear-magnetic-resonance technique, by which we encode the one function evaluation into a long shaped pulse with the application of the gradient ascent algorithm. Our work, dramatically reducing the accumulated errors due to gate imperfections and relaxation, demonstrates a better implementation of the DJ algorithm.
Mycobacterium tuberculosis PE_PGRS19 Induces Pyroptosis through a Non-Classical Caspase-11/GSDMD Pathway in Macrophages

The PE/PPE protein family commonly exists in pathogenic species, such as Mycobacterium tuberculosis, suggesting a role in virulence and its maintenance. However, the exact role of most PE/PPE proteins in host–pathogen interactions remains unknown. Here, we constructed a recombinant Mycobacterium smegmatis expressing M. tuberculosis PE_PGRS19 (Ms_PE_PGRS19) and found that PE_PGRS19 overexpression resulted in accelerated bacterial growth in vitro, increased bacterial survival in macrophages, and enhanced cell damage capacity. Ms_PE_PGRS19 also induced the expression of pro-inflammatory cytokines, such as IL-6, TNF-α, IL-1β, and IL-18. Furthermore, we demonstrated that Ms_PE_PGRS19 induced cell pyroptosis by cleaving caspase-11 via a non-classical pathway rather than caspase-1 activation and further inducing the cleavage of gasdermin D, which led to the release of IL-1β and IL-18. To the best of our current knowledge, this is the first report of a PE/PPE family protein activating cell pyroptosis via a non-classical pathway, which expands the knowledge on PE/PPE protein functions, and these pathogenic factors involved in bacterial survival and spread could be potential drug targets for anti-tuberculosis therapy.
Suitability of the Weather Research and Forecasting (WRF) Model to Predict the June 2005 Fire Weather for Interior Alaska

Abstract Standard indices used in the National Fire Danger Rating System (NFDRS) and Fosberg fire-weather indices are calculated from Weather Research and Forecasting (WRF) model simulations and observations in interior Alaska for June 2005. Evaluation shows that WRF is well suited for fire-weather prediction in a boreal forest environment at all forecast leads and on an ensemble average. Errors in meteorological quantities and fire indices marginally depend on forecast lead. WRF’s precipitation performance for interior Alaska is comparable to that of other mesoscale models applied to midlatitudes. WRF underestimates precipitation on average, but satisfactorily predicts precipitation ≥7.5 mm day−1, the threshold considered to reduce interior Alaska’s fire risk for several days. WRF slightly overestimates wind speed, but captures the temporal mean behavior accurately. WRF predicts the temporal evolution of daily temperature extremes, mean relative humidity, air and dewpoint temperature, and daily accumulat.
Prediction of Term Deposit in Bank: Using Logistic Model

Telemarketing remaining to be one of the most popular direct marketing techniques, which is urged to make accurate predictions. It is critical for banks to have a mature machine learning approach for marketing forecasting problems. Through the analysis of the time deposit telemarketing data of Portuguese commercial banks on Kaggle.com, the bank can more accurately locate the target customers, so as to improve the efficiency of increasing the amount of time deposit business. Firstly, the data are preprocessed, coded and shuffled to divide the test set and training set. Secondly, logistic regression is carried out to eliminate irrelevant independent variables through correlation analysis, which makes the prediction more accurate. The results of logistic regression were compared with the results of decision tree and retrograde comparison. Accuracy and Area Under Curve (AUC) were used as evaluation indexes. The results demonstrate the effectiveness of the logistic regression model and the elimination of irrelevant variables. This method can be applied to the actual marketing problems of banks to accurately find target customers and improve the accuracy of marketing.
Evaluation of a limited angle scanned electron beam x-ray CT approach for two-phase pipe flows

We investigated the imaging capability of a fast linearly scanned electron beam x-ray tomography approach with respect to the phase structure recovery for two-phase flows in a cylindrical pipe. As a consequence of the suggested linear electron beam deflection pattern we need to solve an inverse problem of the limited-angle type which introduces some artefacts in the reconstructed images. To reduce these artefacts we have devised a modified iterative image reconstruction algorithm denoted as binary ART including a level-set based image smoothing operation. To assess the achievable quality of spatial phase structure recovery from the limited-angle data we performed a simulation study on three-dimensional flow data sets obtained with a fast and high-resolution conductivity wire-mesh sensor under real two-phase flow conditions. The simulations revealed that the reconstruction error remains below 2% for up to 1% of Gaussian noise in the projection data and even for up to 5% noise in the case of bubble diameters below 3 mm.
Comprehensive evaluation of power information system security protection based on entropy weight-TOPSIS algorithm

At present, with the deep integration of advanced information and communication technologies such as artificial intelligence, big data, and the Internet of Things and power technology, compared with the traditional power grid, the new power system is more multi-source heterogeneous, open and ubiquitous, and its attack surface is greatly expanded, the difficulty of security protection has increased sharply, and it is urgent to improve the security construction of the power information system. Compliance inspection and security assessment are important ways to guide the security construction of power information systems to this end, this paper is in-depth understanding of the current status of the network security of the power information system, combined with the network security classified protection system 2.0. A comprehensive evaluation method of power information system security protection based on entropy weight-TOPSIS algorithm is proposed, and through model case analysis, it provides an important theoretical basis for the safe, reliable and standardized development of power system.
Conservative tracers and the ocean circulation

Inclusion of chemical tracers in inverse schemes for calculating the ocean circulation leads to a better determined system of constraints to the flow and may result in increased knowledge about mixing processes as well as current systems. A type of tracer suggested by Broecker, namely a conservative combination of nitrates or phosphates and oxygen (‘N O ’ or ‘PO’) uses standard observed quantities. It is shown that although these tracers do add information to more conventional inverse schemes, the present sampling strategy is inadequate for determining the ocean circulation quantitatively. The principal reasons for this are the variability of the ocean and the limited spatial coverage of present hydrographic surveys.
Late‐onset and congenital hearing loss detected using AABR due to congenital cytomegalovirus infection that improved with valganciclovir

Congenital cytomegalovirus (cCMV) infection is the most common congenital viral infection and is the leading non‐genetic cause of sensorineural hearing loss and an important cause of neurodevelopmental disabilities. Auto auditory brainstem response (AABR) is a simple hearing test and used for the purpose of neonatal hearing screening, but can use it for early detection hard of hearing within the study age of the model. We experienced two case of asymptomatic CMV infection in which congenital and late‐onset hearing loss were diagnosed early with AABR, and hearing loss improved with valganciclovir.
Fringe Detection and Displacement Sensing for Variable Optical Feedback-Based Self-Mixing Interferometry by Using Deep Neural Networks

Laser feedback-based self-mixing interferometry (SMI) is a promising technique for displacement sensing. However, commercial deployment of such sensors is being held back due to reduced performance in case of variable optical feedback which invariably happens due to optical speckle encountered when sensing the motion of non-cooperative remote target surfaces. In this work, deep neural networks have been trained under variable optical feedback conditions so that interferometric fringe detection and corresponding displacement measurement can be achieved. We have also proposed a method for automatic labelling of SMI fringes under variable optical feedback to facilitate the generation of a large training dataset. Specifically, we have trained two deep neural network models, namely Yolov5 and EfficientDet, and analysed the performance of these networks on various experimental SMI signals acquired by using different laser-diode-based sensors operating under different noise and speckle conditions. The performance has been quantified in terms of fringe detection accuracy, signal to noise ratio, depth of modulation, and execution time parameters. The impact of network architecture on real-time sensing is also discussed.
Fata ho poto: Tongan science learners and engagement, enjoyment and success in secondary school and university settings

Engagement and success are prominent in education discussions, research and policy in Aotearoa New Zealand and globally. Yet, little is known about how successful Tongan science learners define engagement, enjoyment or success, and which teaching and learning experiences have enhanced or detracted from their engagement, enjoyment and success during their studies. This article shares the stories of 26 successful Tongan science learners who participated in talanoa (open discussion without an agenda) about their engagement, enjoyment and success in secondary and university science education in Aotearoa, and, for some, their schooling in Tonga. The Manulua framework (Fonua, 2021) informed how their stories were gathered, analysed and woven together. The article presents the Fata ho poto model to demonstrate how engagement, enjoyment and success are considered by successful Tongan science learners. This model is useful for those increasing Tongan and Moana/Pacific learning achievement. It offers important insights related to the role of education policy and practice in shaping notions of engagement, enjoyment and success among Tongan and Moana/Pacific learners.
Proactive Edge Caching in Vehicular Networks: An Online Bandit Learning Approach

Proactively caching content at the network edge is particularly effective in high-mobility vehicular networks, where intermittent connection is the major challenge for seamless content transmission. The objective of this paper is to achieve proactive caching in vehicular networks by mobility prediction, specifically by predicting the next roadside unit (RSU) for a vehicle with reinforcement learning techniques. The paper proposes two proactive caching algorithms based on multi-armed bandit (MAB) learning, non-contextual MAB and contextual MAB, respectively. This paper fills the void in the literature regarding the application of MAB learning to mobility-prediction based proactive caching. Their feasibility, superiority, and applicability are evaluated with simulation in two modern cities: Las Vegas, USA with a grid road layout, and Manchester, UK with a more historical layout. Additionally, this paper is the first that proposes to investigate the uncertainty associated with proactive caching systems in the form of entropy with a specifically extended Subjective Logic framework, in order to provide an insight into the underlying link between prediction accuracy and uncertainty.
Rhizopogon pumilionum (Ade) Bataille; a new false truffle (Basidiomycota) record for Turkish mycota

In this study, Rhizopogon pumilionum (Ade) Bataille is recorded from Turkey for the first time. The new record is described and illustrated. New record was proved by utilizing from its rDNA ITS data. Also, phylogenetic position of R. pumilionum was detected in the phylogenetic tree constructed using the sequences of rDNA ITS.
Inclusive physical education program of schoolchildren with autism spectrum disorders

Purpose: The purpose was to develop an inclusive physical education program for schoolchildren with ASD and experimentally test its effectiveness. Materials and methods: An inclusive physical education curriculum for children with ASD was made up and incorporated into the process of physical education in secondary schools. At the beginning and the end of the pedagogical experiment, 12-year-old children were tested in the experimental (involved in the author's program, n=9) and control groups (involved in the traditional curriculum, n=11). The indicators of psychophysical fitness of children were determined according to the results of 19 test exercises. The reliability of the differences was determined by the Mann-Whitney U test. Results: Under the influence of the author's program, physical fitness of children of the experimental group improved significantly. Whereas the trend towards improving almost all indicators of the physical fitness of children with ASD in the traditional program has not been confirmed statistically. The traditional physical education program was most effective in promoting flexibility (inclinations forward) and coordination (passing and catching a ball against a wall) in children with ASD. Conclusions: The author's program was proven to be significantly more effective than the traditional ones in the formation of the strength of shoulder extensors and hand flexors, fine coordination of hand muscles, the speed-strength of leg muscles, and balance. This allows us to recommend it for use in physical education lessons in institutions of general secondary education.
The Impact of Chronic Pain, Stiffness and Difficulties in Performing Daily Activities on the Quality of Life of Older Patients with Knee Osteoarthritis

Osteoarthritis causes a number of physical ailments, which result in the deterioration of a persons’ general health and reduction of their ability to move freely. This cross-sectional study was designed to assess the impact of physical ailments in the course of knee osteoarthritis (KOA) on the quality of life (QoL) of patients in early old age. An anonymous survey was conducted by the use of the recognized research tools: Western Ontario scale and McMaster Osteoarthritis Index (WOMAC), The Index of Severity for Knee Disease (ISK) and World Health Organization Quality of Life—BEFF (WHOQOL-BREF). The study involved 300 people aged between 60 and 75 years old, including 150 patients diagnosed with gonarthrosis and 150 people without lower limb complaints. The significant intensification of the symptoms of knee osteoarthritis was associated with a worse assessment of health (p < 0.001), overall quality of life (p < 0.001) and in the following domains: physical (p < 0.001), mental (p < 0.001) and environmental (p < 0.001) in a group of patients with KOA. These findings suggest that taking measures to reduce knee pain and improve function may have an impact on improving the overall quality of the life of people in their early old age.