Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Flying and Diving Wig Craft for Electronics Intelligence - a Conceptual Design

Wing in Ground (WIG) effect craft with a higher lift to drag ratio would decrease fuel consumption than conventional maritime vessels and seaplanes. This paper introduces the conceptual design of a submersible seaplane that merges the maturity of the seaplane class with covert underwater insertion, travel and recovery. The reconnaissance design inserts from underwater emplacement, surfaces, can fly in ground effect, keeps station on the sea surface while recharging, travels and wait for collection underwater. The design minimizes doppler and infra-red signatures to evade the surface-wave and backscatter radar systems and cube-satellite arrays typical in contested maritime areas. Five critical enabling technologies are overviewed, showing how they enable the design. The project was conducted in collaboration with two industrial partners, namely: Ron Allum and Thales Australia.
Low-Cost Hybrid Multisensor Fusion Method and Implementation for Production Intelligent Vehicles

Faced with cost limitations and 360° fusion and tracking requirement of production intelligent vehicles, this article proposes a low-cost hybrid multisensor fusion method that provides flexibility and scalability for multilevel information input and different sensor configurations. By combining radar, lane detection, and ego vehicle information, we design a centralized fusion algorithm for 360° object tracking that provides a low-computation multisensor association algorithm by a scheme of the local sensor to global track association and proves an optimal centralized estimator in the condition of multicoordinate system Doppler information. To make the sensor fusion system compatible with multilevel information input and enhance the redundancy to improve security, a distributed fusion algorithm based on the covariance intersection (CI) method is also designed as a part of the fusion framework for the secondary fusion of high-level information. We validate the feasibility of our fusion method in an industrial-level controller with only 10% computing power consumption and build a ground-truth system to quantitatively evaluate the method, which shows that our fusion method performs well on 360° object tracking, guarantees stable object IDs, and greatly improves the accuracy, especially for sensor boundary regions. Furthermore, we also test and evaluate the performance of our fusion method in a variety of complex open road scenarios including expressway, curved road, and lane fading scenarios.
NEAR-INFRARED OBSERVING CONDITIONS AT THE BOAO AND THE SOAO

Korea Astronomy Observatory(KAO) has been developing the KAONICS, KAO Near-Infrared Camera System, which will be used for near-infrared observations in the ground-based telescopes of Korea. As a phase-A study for this work, we investigated observational environments at the Sobaeksan Optical Astronomy Observatory(SOAO) and the Bohyunsan Optical Astronomy Observatory(BOAO) quantitatively. In the J, H, K, and L bands, atmospheric transmission was calculated mainly depending on the PWV(Precipitable Water Vapour), and limiting magnitudes were computed for the SOAO and the BOAO, respectively. We conclude that these observatories have similar observing capabilities and domestic observations are possible in near-infrared.
First-Principles Study on the Effect of Lithiation in Spinel LixMn2O4 (0 ≤ x ≤ 1) Structure: Calibration of CASTEP and ONETEP Simulation Codes

Lithium–manganese–oxide (Li-Mn-O) spinel is among the promising and economically viable, high-energy density cathode materials for enhancing the performance of lithium-ion batteries. However, its commercialization is hindered by its poor cyclic performance. In computational modelling, pivotal in-depth understanding of material behaviour and properties is sizably propelled by advancements in computational methods. Hence, the current work compares traditional DFT (CASTEP) and linear-scaling DFT (ONETEP) in a LiMn2O4 electronic property study to pave way for large-scale DFT calculations in a quest to improve its electrochemical properties. The metallic behaviour of LixMn2O4 (0.25 ≤ x ≤ 1) and Li2Mn2O4 was correctly determined by both CASTEP and ONETEP code in line with experiments. Furthermore, OCV during the discharge cycle deduced by both codes is in good accordance and is between 5 V and 2.5 V in the composition range of 0 ≤ x ≤ 1. Moreover, the scaling of the ONETEP code was performed at South Africa’s CHPC to provide guidelines on more productive large-scale ONETEP runs. Substantial total computing time can be saved by systematically adding the number of processors with the growing structure size. The study also substantiates that true linear scaling of the ONETEP code is achieved by a systematic truncation of the density kernel.
Comparative Efficacy of Tapentadol versus Tapentadol Plus Duloxetine in Patients with Chemotherapy-Induced Peripheral Neuropathy (CIPN): A Randomized Non-Inferiority Clinical Trial

Simple Summary Chemotherapy-induced peripheral neuropathy (CIPN) is a common complication due to treatment with anti-cancer agents. Our aim was therefore to assess the non-inferiority of the analgesic effect and safety of tapentadol alone compared to duloxetine plus tapentadol administered to patients with chemotherapy-induced peripheral neuropathy. The use of tapentadol is a safe and effective analgesic therapy in patients with CIPN. Positive effects of tapentadol were noted on the patients’ quality-of-life assessments. Abstract Introduction: Chemotherapy-induced peripheral neuropathy (CIPN) is a common complication due to treatment with many commonly used anti-cancer agents. CIPN is a mainly sensory neuropathy that can be characterized by the appearance of motor and autonomic alterations. Clinicians may offer duloxetine (DLX) for patients with cancer experiencing CIPN. Our aim was to assess the non-inferiority of the analgesic effect and safety of tapentadol (TP) alone compared to duloxetine plus tapentadol administered to patients with CIPN. Methods: A total of 114 patients were enrolled in the study and randomized to receive tapentadol in a dosage of 50 to 500 mg/day (n = 56) or tapentadol plus duloxetine in a dosage of 60 to 120 mg/day (n = 58) for a period of 4 weeks. We evaluated the analgesia efficacy, defined as a decrease in pain on the NRS between the first administration and 28 days later. Secondary endpoints included analgesia efficacy at 28 and 42 days, defined by a decrease in DN4 and LEPs, decrease in quality of life, and the incidence of any serious or non-serious adverse events after the first administration. Results: In this randomized, double-blind trial comparing TP and TP plus DLX for CIPN management, TP was feasible and non-inferior to the association with DLX as far as the reduction of pain after chemotherapy at 28 days is concerned. Scores on other rating scales evaluating the quality of life, anxiety and depression, and the characteristics of pain revealed similar improvements associated with tapentadol versus duloxetine at these time points. Conclusion: The use of TP is a safe and effective analgesic therapy in patients with CIPN. Positive effects of TP were noted on the patients’ quality-of-life assessments.
Charge Injection Into Electrodeposited Cu2O From Metallic Stacks and Graphene

Cuprous oxide (Cu2O) is a promising semiconductor for photovoltaic applications owing to its direct bandgap, facile fabrication possibilities, and cost effectiveness. However, the efficiency of single photovoltaic cells employing Cu2O is limited to 3%–4% necessitating investigations into material quality and reliable interface conductivity with contact metals. In this article, we systematically investigate the charge transport efficiency between electrodeposited (ED) Cu2O thin films and commonly used metallic stack contact materials, such as Ti/Au, Cr/Au, and Pt. We further explore a large-area CVD-grown graphene monolayer as a transparent contact for Cu2O thin films. Using transfer length measurements (TLMs), we observe thermal emission characteristics with no noticeable Fermi-pinning effects using the metal combinations employed on ED Cu2O. We achieve the lowest reported contact resistivity on Cu2O thin films ( $\boldsymbol {\rho }_{C}=2.15 \times 10^{-5} \Omega cm^{2}$ ) using a Ti–Au metal combination with the resistivity scaling exponentially with the barrier height on other metal stacks. In contrast, the true contact resistivity between a single monolayer of undoped graphene and a Cu2O thin film was measured to be an order of magnitude higher ( $5.526\times 10^{-4} \Omega cm^{2}$ ). Despite the higher resistance, this result indicates that further investigations into stacking multiple layers with careful doping control can make large area graphene attractive for photovoltaic applications using functional oxides.
A proposed technique for power extraction from acoustic energy scavenging

ABSTRACT In this study, converting acoustic to electric energy was achieved via the Disk Jockey (DJ) model TG5000, which worked as a noise source, and the piezoelectric model 7BB-41–2, which worked as a transducer. We proposed different states of piezoelectric transducer’s mounting on DJ and examined the results to determine the optimum state for maximization of the converted power. We proposed a technique which comprises four stages, and each stage is composed of a piezoelectric transducer followed by a voltage multiplier. The outputs of the four stages were connected in parallel, and these transducers were mounted via their bodies on the slim diaphragm of the acoustic focusing tube. The results indicated that the maximum converted power values were 1.225 mW with a load resistor of 10 kΩ for one stage, 1.089 mW with a load resistor of 10 kΩ for two stages, 1.682 mW with a load resistor of 5 kΩ for three stages, and 5.891mW with a load resistor of 2.2 kΩ for four stages at a sound intensity level of 85 dB and sound wave frequency of 2.1 kHz.
Isolation and Characterization of an LBD Transcription Factor CsLBD39 from Tea Plant (Camellia sinensis) and Its Roles in Modulating Nitrate Content by Regulating Nitrate-Metabolism-Related Genes

Nitrate nitrogen is an important nitrogen source for tea plants’ growth and development. LBD transcription factors play important roles in response to the presence of nitrate in plants. The functional study of LBD transcription factors in tea plants remains limited. In this study, the LBD family gene CsLBD39 was isolated and characterized from tea plants. Sequence analysis indicated that CsLBD39 contained a highly conserved CX2CX6CX3CX domain. The phylogenetic tree assay showed that CsLBD39 belonged to class II subfamily of the LBD family. CsLBD39 was highly expressed in flowers and root; we determined that its expression could be induced by nitrate treatment. The CsLBD39 protein was located in the nucleus and has transcriptional activation activity in yeast. Compared with the wild type, overexpression of CsLBD39 gene in Arabidopsis resulted in smaller rosettes, shorter main roots, reduced lateral roots and lower plant weights. The nitrate content and the expression levels of genes related to nitrate transport and regulation were decreased in transgenic Arabidopsis hosting CsLBD39 gene. Compared with the wild type, CsLBD39 overexpression in transgenic Arabidopsis had smaller cell structure of leaves, shorter diameter of stem cross section, and slender and compact cell of stem longitudinal section. Under KNO3 treatment, the contents of nitrate, anthocyanins, and chlorophyll in leaves, and the content of nitrate in roots of Arabidopsis overexpressing CsLBD39 were reduced, the expression levels of nitrate transport and regulation related genes were decreased. The results revealed that CsLBD39 may be involved in nitrate signal transduction in tea plants as a negative regulator and laid the groundwork for future studies into the mechanism of nitrate response.
Synthesis of Polycarboxylate Viscosity Reducer and the Effect of Different Chain Lengths of Polyether on Viscosity Reduction of Heavy Oil

Since there are not many studies on the application of polymeric surfactants in viscosity reduction emulsification of heavy oil, a series of polyether carboxylic acid–sulfonate polymeric surfactants were synthesized. The viscosity reduction performance and the effect of different chain lengths on the viscosity reduction effect were also investigated. The viscosity reduction, emulsification, wetting, and foaming performance tests showed that the viscosity reduction performance of this series of polymeric surfactants was excellent, with the viscosity reduction rate exceeding 95%, and the viscosity was reduced to 97 mPa·s by the polymeric surfactant with a molecular weight of 600 polyethers. It was also concluded that among the three surfactants with different side chains, the polymeric surfactant with a polyether molecular weight of 600, which is the medium side-chain length, had the best viscosity reduction performance. The study showed that the polyether carboxylic acid–sulfonate polymer surfactant had a promising application in the viscosity reduction of heavy oil.
Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong–Zhuhai–Macao Bridge Immersed Tunnel

Structural health monitoring (SHM) is gradually replacing traditional manual detection and is becoming a focus of the research devoted to the operation and maintenance of tunnel structures. However, in the face of massive SHM data, the autonomous early warning method is still required to further reduce the burden of manual analysis. Thus, this study proposed a dynamic warning method for SHM data based on ARIMA and applied it to the concrete strain data of the Hong Kong–Zhuhai–Macao Bridge (HZMB) immersed tunnel. First, wavelet threshold denoising was applied to filter noise from the SHM data. Then, the feasibility and accuracy of establishing an ARIMA model were verified, and it was adopted to predict future time series of SHM data. After that, an anomaly detection scheme was proposed based on the dynamic model and dynamic threshold value, which set the confidence interval of detected anomalies based on the statistical characteristics of the historical series. Finally, a hierarchical warning system was defined to classify anomalies according to their detection threshold and enable hierarchical treatments. The illustrative example of the HZMB immersed tunnel verified that a three-level (5.5 σ, 6.5 σ, and 7.5 σ) dynamic warning schematic can give good results of anomalies detection and greatly improves the efficiency of SHM data management of the tunnel.
Dirofilaria immitis: Genotyping Randomly Selected European Clinical Samples and USA Laboratory Isolates with Molecular Markers Associated with Macrocyclic Lactone Susceptibility and Resistance

Dirofilaria immitis is a parasitic nematode and causes dirofilariosis, a potentially fatal pulmonary infection which primarily infects canids. Dirofilariosis infections are controlled via prophylactic macrocyclic lactone (ML) regimens. Recent evidence has confirmed the development of ML-resistant isolates in the USA, which are genetically distinct from wildtype populations. Single nucleotide polymorphisms (SNP) associated with ML-resistant phenotypes were clinically validated in USA populations. In this study, 3 USA laboratory-maintained isolates (Berkeley, Georgia II, and WildCat) and 11 randomly selected European clinical samples from 7 hosts were analyzed. The samples tested were fresh microfilaria (mf) in blood or adult worms preserved in ethanol. The samples underwent MiSeq sequencing of the top 9 SNP associated with ML resistance. The results provide the first genotypic analysis of the three USA laboratory-maintained isolates and any European samples. The European clinical samples show no genomic evidence of ML resistance based on the 9 SNP. The early adoption of genotyping of clinical D. immitis samples could provide an early indication of the potential development of ML resistance and aid to distinguish clinical cases of heartworm infection due to ML resistance from those due to a lack compliance with the recommended treatments, as has been seen in North America.
ANN: library for approximate nearest neighbor searching

ANN is a library of C++ objects and procedures that supports approximate nearest neighbor searching. In nearest neighbor searching, we are given a set of data points S in real d-dimensional space, R d , and are to build a data structure such that, given any query point q 2 R d , the nearest data point to q can be found eeciently. In general, we are given k 1, and are asked to return the k-nearest neighbors to q in S. In approximate nearest neighbor searching, an error bound 0 is also given. The search algorithm returns k distinct points of S, such that the ratio between the distance to the ith point reported and the true ith nearest neighbor is at most 1 +. Among the features of ANN are the following. It supports k-nearest neighbor searching, by specifying k with the query. It supports both exact and approximate nearest neighbor searching, by specifying an approximation factor 0 with the query. It supports all Minkowski distance metrics, including the L 1 (Manhattan), L 2 (Eu-clidean), and L 1 (Max) metrics. There are no exponential factors in space, implying that the data structure is practical even for very large data sets in high dimensional spaces, irrespective of. ANN is written as a testbed for a class of nearest neighbor searching algorithms, particularly those based on orthogonal decompositions of space. These include k-d trees 3, 4], balanced box-decomposition trees 2] and other related spatial data structures (see Samet 5]). The library supports a number of diierent methods for building search structures. It also supports two methods for searching these structures: standard tree-ordered search 1] and priority search 2]. In priority search, the cells of the data structure are visited in increasing order of distance from the query point. In addition to the library there are two programs provided for testing and evaluating the performance of various search methods. The rst, called ann test, provides a primitive script language that allows the user to generate data sets and query sets, either by reading from a le or randomly through the use of a number of built-in point distributions. Any of a
Design, fabrication and test of functional panels for multi-mission modular satellite platform

In this case study, an integrated approach for the design and fabrication of a titanium (Ti) panel test made by additive manufacturing is proposed. The panel has been conceived integrating its mechanical properties for the structural support and for loading all the components and payloads of the satellite platform, with the innovative property of heat dissipation. The metallic structures has been designed for the allocation of the battery pack of the payload and for positioning electronic cable and optical fibers. This prototype module comprises internal heat pipes, containing numerous parallel micro-channel arrays, for managing the heat exchange related to the working condition of the payloads. The profile and section of the micro-channels have been designed to favor the liquid evaporation under heating in microgravity condition and thus for different space applications. 3D printing has been selected for the realization of the Ti panel and the construction of the internal channels (heat pipes), holes for cable connection, niche for housing the external battery and all the components required for filling it by an appropriate refrigerant fluid. The thickness distribution of the panel is not uniform, in fact for reducing its total mass some parts have been realized reducing the amount of material dispensed. In the following the design and fabrication of the prototype is illustrated and discussed. In the design particular attention was focused to the balance of the profile selected for the heat-pipes and the 3D printing resolution. The characterization of the working condition under heating has been also reported and discussed. We believe that functional panels with these novel characteristics would find application for energy waste recovery also in case of electronic dissipation for module dedicated to space exploration
Performances analysis of piezoelectric cantilever based energy harvester devoted to mesoscale intra-body robot

Mesoscale robots, including active capsules, are a promising and well suited approach for minimal invasive intrabody intervention. However, within the numerous works, the main limitation in these robots is the embedded energy used for their locomotion and for the tasks they should accomplish. The limited autonomy and the limited power make them finally unusable for real situations such as active capsules inside body during several tens of minutes. In this paper, we propose an approach to power mesoscale robots by using energy harvesting techniques through a piezoelectric cantilever structure embedded on the robot and through an oscillating magnetic excitation. The physical model of the proposed system is carried out and simulation results are yielded and analyzed accordingly to the influencing parameters such as the number of layers in the cantilever and its dimensions. Finally, the feasability of this solution is proved and perspectives are discussed.
The Acceptance of E-Learning during Covid-19 Pandemic amongst Dental Students of Islamabad

Background: The worldwide COVID 19 pandemic coerced all organizations including educational facilities to embrace online teaching methodologies. The present study was done to assess the acceptance of e-learning during COVID 19 among dental students in the metropolitan city of Islamabad using the Technology Acceptance Model (TAM) Methods: This was a cross sectional study involving all dental colleges of Islamabad, was conducted between August 2020 – October 2020. The complete enumeration technique was employed for sampling. A structured self-reported questionnaire of the Technology acceptance model (TAM) was used for data collection. It consisted of four constructs, perceived usefulness (PU), perceived ease of use (PEOU), attitude towards use (ATT) and intention to use (INT). The questionnaire was shared online with 600 dental undergraduate students in Islamabad. To analyze the data SPSS (version 22) was used. Results: The total number of complete responses received were 274 (RR 45%). The overall mean scores for PEOU, INT, PU and ATT were 3.38, 3.21, 3.1 and 2.92 respectively. Lower mean value showed that the respondents disagreed/strongly disagreed, whereas higher mean value showed that they were inclined to agree/strongly agree with the idea of e-learning. Based on TAM model, six hypotheses were formulated and tested for significance based on the regression statistics. Larger beta and t values and P value of 0.05 using regression analysis showed existence of significant relationship between all the factors. Conclusion: The present study explored the acceptance of e-learning by dental students and concluded that in order to motivate students to use technology for educational purposes it is necessary for them to perceive technology to be useful and easy to use. This in turn would help them develop a positive attitude towards using it and consequently motivate greater participation.