Miracle-dz/UniFAR-FTUs huggingface dataset:
The Structural Relationship between Service Quality and Sustainable Use Intention of Voice Search Technology in Korea

Voice search based on artificial intelligence is the fastest means of searching for information and can be easily used in a very familiar way by ordinary users without separate education or learning. Voice bot’s voice search can interact on the same level as face-to-face communication and provide customized services optimized for users. It is most important for these new technologies to develop from a non-face-to-face social structure caused by COVID-19 to a long-term sustainable technology rather than short-term development. Therefore, the purpose of this study is to empirically verify the structural relationship between the quality, interactivity, and consumers’ sustainable use intentions for voice search services called ‘voice bots’ in Korea, an advanced country of computer science and technology. A survey was conducted on Korean consumers aged 20 or older who use voice search services, and the following main results were derived. First, the playfulness, certainty, and empathy of the ‘voice bot’ have a positive effect on the interactivity with the ‘voice bot’. Second, interactivity with the ‘voice bot’ has a positive effect on consumers’ sustainable use intention. Third, the playfulness and certainty of ‘voice bot’ have a positive effect on consumers’ sustainable use intention. Fourth, the playfulness, certainty, and empathy of the ‘voice bot’ have a positive effect on consumers’ sustainable use intention through interactivity with the ‘voice bot’. This study is meaningful in that it empirically identified the importance of interactivity by deriving the service quality factors required for sustainable use of voice search services, one of the new innovative technologies.
Radiation Therapy for Adenoid Cystic Carcinoma of the Head and Neck

Simple Summary Adenoid cystic carcinoma is a rare histology arising in the head and neck region that has a high propensity for perineural invasion. While surgical resection is the preferred primary treatment modality, adjuvant radiotherapy is often indicated to improve local control. For unresectable disease, definitive radiotherapy can be utilized. Given the predilection for perineural tumor spread, target volumes often must encompass relevant nerve pathways back to the base of skull. Treatment strategies for ACC must therefore balance the disease burden and risk of failure against the morbidity of treatment. Abstract Adenoid cystic carcinoma of the head and neck is an uncommon malignancy that can arise in the major or minor salivary glands. Perineural invasion (PNI) is an extremely frequent finding in cases of adenoid cystic carcinoma (ACC) that can be associated with significant patient morbidity and poor prognosis. By contrast, ACC rarely demonstrates lymphovascular space invasion thereby making PNI the major avenue for metastasis and a driver of treatment rationale and design. Radiotherapy is often utilized post-operatively to improve locoregional control or as a primary therapy in unresectable disease. Here we aim to review the role of radiotherapy in the management of this malignancy with a focus on target delineation and treatment regimens in the definitive, recurrent, and metastatic settings.
Measuring area and volume of human leg ulcers by coloured coded structured light

The authors present a non-contact semi automatic leg ulcer measurement and management system. Besides measuring the area of an ulcer it can also evaluate its volume by calculating the difference between the virtual reconstruction of the former healthy skin and the actual measured surface. An adequate representation of a real ulcer is created in a Personal Computer memory using a Structured Light scanning system with simultaneously projected stripes of colour coded light. The method is fast and reliable, and capable of evaluating area and volume with an uncertainty of 5% of the total size. Means for ulcer classification, healing time forecast and for patient data management may be included into the system. < >
What Follows from the Impossible: Everything or Nothing? (An Interpretation of the ‘Avranches Text’ and the Ars Meliduna)

One of the main controversies of the Logic Schools of the 12th century centered on the question: What follows from the impossible? In this paper arguments for two diametrically opposed positions are examined. The author of the ‘Avranches Text’ who probably belonged to the school of the Parvipontani defended the view that from an impossible proposition everything follows (‘Ex impossibili quodlibet’). In particular he developed a proof to show that by means of so-called ‘disjunctive syllogism’ any arbitrary proposition B can be logically derived from a pair of contradictory propositions A and Not-A. The author of the Ars Meliduna instead argued that nothing follows from an impossible proposition (‘ex falso nihil sequitur’). This view is supported by various counterexamples which aimed to show that the admission of impossible premises would give rise to inconsistent conclusions. Upon closer analysis these inconsistencies do not, however, have the formal structure of a real contradiction like A and Not-A, but rather the structure of two rivalling conditionals like ‘If B then A’ and ‘If B then Not-A’. Hence these counterexamples rather have to be considered as refutations of the basic principles of ‘connexive logic’.
Analysis of high quality customer identification and marketing service strategy based on big data

In the process of accelerating urbanization, the Internet technology has been fully promoted, at this time using the algorithm based on big data technology to identify high-quality customers has become the focus of marketing attention. Therefore, on the basis of understanding how to identify high-quality passenger sources based on big data, this paper analyzes how to carry out marketing services in view of taxi track data mining.
ME03) Development of driving assistant system for smart vehicle from series of image sequence

Introduction An autonomous intelligent vehicle system that can interpret traffics situation, provides driving assistance and capable of avoiding collisions can significantly increased driving safety. Such a vehicle system will have to perform several functionalities. In this work, a visual based sensor is used to acquire information by placing a web-camera at the dashboard of a moving car and directed outward in a way to have a similar view with a real driver. The camera captures image sequences where every frame of image provides information pertaining to road and traffic situations. The aim of this work is to develop a stage of various algorithms that can extract relevant features in every sequence of image and when every one of them is combined, they become as one complete driving assistant system. It is hoped that, when the system is built, it will help to reduce accidents by focusing on keeping a safe distant between trailing and heading car and to avoid uncontrolled lane deviation.
A NOVEL HIGH STEP-UP DC-DC CONVERTER FOR A STAND-ALONE SYSTEM USING MULTILEVEL INVERTER

Multilevel voltage source converters are emerging as a new breed of power converter options for high-power applications. The multilevel voltage source converters typically synthesize the staircase voltage wave from several levels of dc capacitor voltages. One of the major limitations of the multilevel converters is the voltage unbalance between different levels. The techniques to balance the voltage between different levels normally involve voltage clamping or capacitor charge control. There are several ways of implementing voltage balance in multilevel converters. This paper proposes a novel high step-up dc-dc converter for a distributed generation system is connected to load with the help of multilevel inverter. The concept is composed of two capacitors, two diodes, and one coupled inductor. Two capacitors are charged in parallel, and are discharged in series by the coupled inductor. Thus, high step- up voltage gain can be achieved with an appropriate duty ratio. The voltage stresses on the main switch and output diode are reduced by a passive clamp circuit. Therefore, low resistanceDS (ON) for the main switch can be adopted to reduce conduction loss. In addition, the reverse recovery problem of the diode is alleviated, and thus, the efficiency can be further improved. The operating principle and steady-state analyses of the voltage gain are also discussed in detail by using MATLAB/SIMULINK platform.
Enhancing the angular resolution of incoherent sources

The output of an antenna that scans an incoherent source distribution is 'smoothed', that is, it contains fewer rapid variations with angle than the true source distribution. This is because the antenna rejects or reduces high spatial frequency components of the source spectrum. Source spectrum components passed by the antenna can be restored to their correct value by data-processing but such techniques usually yield a non-physical approximation to the source distribution. In a new technique that enhances angular resolution, the best mean square match to the restored source data is determined, and the minimum amount of extrapolated data added to guarantee a physical approximation to the sources surveyed by the antenna
PROCREATION AND APPLICATION OF SENTIMENT BASED DICTIONARY TO REVEAL POPULAR EVENT TOPICS TRENDS ON TWITTER PLATFORM

The layers of information are formed by the rapid rise of the data storm that is generated on Social Media(SM). The work of finding hidden trends is tough owing to the constant flow of tweets caused by volume and variety. The study recommends the use of dictionaries to absorb information more quickly and filter out inadequate data. The research proposes the procedural method to build the global dictionary. The global dictionary is created using the datasets on social, political, scientific and sports domains on most recent events to cover major sentiment drifts. This dictionary can help in revealing trends which can further be used to detect the event trends. The suggested model performs trend analysis on a tweet-by-tweet basis using dictionaries. A tweet-specific trend evolves into a day trend for an event. The proposed model aids in the examination of trends for an event on a timeline. The event trend has the ability to reveal the event's future trajectory. The model is validated using a multi-event dataset from Event 2012 and evaluated successfully on a Citizenship Amendment Act (CAA) dataset from 2019. The model performs well across a wide range of datasets.
Genotyping and Antimicrobial Susceptibility of Clostridium perfringens and Clostridioides difficile in Camel Minced Meat

The present study aimed to determine the occurrence, genotypes, and antimicrobial resistance of Clostridium perfringens (C. perfringens) and Clostridioides difficile (C. difficile) in camel minced meat samples collected from small butcher shops and supermarkets in Al-Ahsa Governorate, Saudi Arabia. A total of 100 camel minced meat samples were randomly collected from small butcher’s shops (n = 50) and supermarkets (n = 50) in Al-Ahsa Governorate, Saudi Arabia. C. perfringens and C. difficile were isolated and identified using the VITEK-2 compact system and 16S rRNA gene amplification. Genotypes, toxin genes, and antimicrobial susceptibility of the isolates were determined. Moreover, ELISA was used to detect C. perfringens and C. difficile toxins. C. perfringens and C. difficile were isolated from 14% and 4% of the tested minced meat samples, respectively. Out of the 14 C. perfringens isolates, type A (64.3%), type B (7.1%), type C (21.5%), and type D (7.1%) were detected. However, out of the four C. difficile isolates, three (75%) were type A+B+ and one (25%) was type A−B+. None of the C. perfringens or C. difficile toxins were identified using ELISA. C. perfringens and C. difficile isolates exhibited a high rate of resistance to tetracycline (56% and 75%, respectively). However, all isolates were susceptible to amoxicillin-clavulanate. Multidrug resistance was observed in three (21.4%) C. perfringens and one (25%) C. difficile isolates. In conclusion, camel minced meat was contaminated with C. perfringens and C. difficile, which present a potential risk of food poisoning. The majority of the isolates were resistant to at least one antimicrobial, and some isolates were multidrug-resistant. Therefore, food safety standards and frequent inspections of abattoirs, small butcher shops, and supermarkets should be enforced.
A SIMULATION STUDY OF A MOBILE ROBOT WITH SELF-LOCKING SPEED REDUCERS

The paper presents a simulation model of a mobile robot. The robot is equipped with four track systems wrapped around four movable and independently driven track holders, in which the driving torques are transmitted to the track systems via speed reducers. The study is focused on friction effects in gearing, and especially on the self-locking properties. A simplified mathematical model of friction in a speed reducer is presented. The model is based on the Coulomb friction law and on the analogy between a gear and a wedge mecha- nism. This friction model is implemented in general purpose simulation software in which the tracked mobile robot is modelled. A multibody model of the robot is briefly described. Simula- tion results obtained for different friction levels, varying from friction absence to friction be- yond the self-locking limit, are compared and discussed. The robot motors are also modelled and requirements for electric power in various operating conditions are estimated.
Dexamethasone for Inner Ear Therapy: Biocompatibility and Bio-Efficacy of Different Dexamethasone Formulations In Vitro

Dexamethasone is widely used in preclinical studies and clinical trials to treat inner ear disorders. The results of those studies vary widely, maybe due to the different dexamethasone formulations used. Laboratory (lab) and medical grade (med) dexamethasone (DEX, C22H29FO5) and dexamethasone dihydrogen phosphate-disodium (DPS, C22H28FNa2O8P) were investigated for biocompatibility and bio-efficacy in vitro. The biocompatibility of each dexamethasone formulation in concentrations from 0.03 to 10,000 µM was evaluated using an MTT assay. The concentrations resulting in the highest cell viability were selected to perform a bio-efficiency test using a TNFα-reduction assay. All dexamethasone formulations up to 900 µM are biocompatible in vitro. DPS-lab becomes toxic at 1000 µM and DPS-med at 2000 µM, while DEX-lab and DEX-med become toxic at 4000 µM. Bio-efficacy was evaluated for DEX-lab and DPS-med at 300 µM, for DEX-med at 60 µM, and DPS-lab at 150 µM, resulting in significantly reduced expression of TNFα, with DPS-lab having the highest effect. Different dexamethasone formulations need to be applied in different concentration ranges to be biocompatible. The concentration to be applied in future studies should carefully be chosen based on the respective dexamethasone form, application route and duration to ensure biocompatibility and bio-efficacy.
The New Exploring for the Key Technology of Distributed Network Security System Design

With the rapid development of Internet, the computer network is gradually becoming a country's economic development foundation and lifeblood of the world dependent on the network is also growing, network security issues attendant becomes increasingly prominent. Network security infrastructure Laboratory, University of Electronic Science and Technology is in this context, to begin related research network security. In this paper, the network information system to conduct a comprehensive monitoring and tracking of online behavior of security auditing technology, developed in line with the audit information security management tools needed to provide technical support for the construction of network security information systems, and on the basis of technical studies on research to develop technical standards and can have independent intellectual property rights and international standards to improve the domestic information network defense capabilities to protect the security of computer information systems.
Microwave Noise Characterization of GaAs MESFET's: Evaluation by On-Wafer Low-Frequency Output Noise Current Measurement

A simplified noise equivalent circuit is presented for submicron-gate-length MESFET's in the common-source configuration, consisting of five linear circuit elements: the gate-to source capacitance C/sub gs/, the total input resistance R/sub T/, the transconductance g/sub m/, the output resistance R/sub 0/, and a noise current source of spectral density S/sub io/ at the output port. All of these elements can be determined by on-wafer measurements, and the noise current can be measured at a low frequency. The minimum noise figure of the device calculated from this model, as well as the bias and frequency dependence of the noise figure, is shown to be in agreement with microwave noise figure measurements. Thus a technique has been established for determination of the minimum noise figure of a device solely by on-wafer measurements rather than by the usual microwave measurements. The proposed technique can be employed rapidly, conveniently, without the need for tuning, and at the wafer stage of device fabrication.
Space-time codes in wireless communications

The need to provide reliable high data rate communication over the wireless channel has led to the development of efficient modulation and coding schemes. Diversity (time, frequency, space, polarization, angle) is an effective method to combat fading and improve the link reliability of the wireless channel. Time and frequency diversity lead to loss in bandwidth efficiency. However, by employing multiple antennas at the transmitter and/or at the receiver, spatial diversity mitigates fading without sacrificing the precious bandwidth resource. It is difficult to implement receive diversity in the downlink because of size and power limitations on the portable/mobile terminal. This has motivated the use of transmit diversity schemes wherein multiple antennas are used at the transmitter for the downlink transmission from the base station to the portable terminal. In space-time coding, intelligent coding of symbols across space and time can be done to reap the advantages due to coding and diversity. The coding in space is obtained by using multiple antennas at the transmitter. The article discusses aspects of space-time coding. This is an important research topic in the design of emerging wireless systems. Deployment of wireless systems using space-time codes is expected in the near future.
The Potency of Fungal-Fabricated Selenium Nanoparticles to Improve the Growth Performance of Helianthus annuus L. and Control of Cutworm Agrotis ipsilon

The application of green nanotechnology in agriculture has been receiving substantial attention, especially in the development of new nano-fertilizers and nano-insecticides. Herein, the metabolites secreted by the fungal strain Penicillium chrysogenum are used as a reducing agent for selenium ions to form selenium nanoparticles (Se-NPs). The synthesized Se-NPs were characterized using color change, UV-Vis spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, transmission electron microscopy (TEM), energy dispersive X-ray (EDX), X-ray diffraction (XRD), and dynamic light scattering (DLS). The biomass filtrate of the fungal strain changed from colorless to a ruby red color after mixing with sodium selenite with a maximum surface plasmon resonance at 262 nm. Data exhibits the successful formation of spherical, amorphous Se-NPs with sizes ranging between 3–15 nm and a weight percentage of 38.52%. The efficacy of Se-NPs on the growth performance of sunflower (Helianthus annuus L.) and inhibition of cutworm Agrotis ipsilon was investigated. The field experiment revealed the potentiality of Se-NPs to enhance the growth parameters and carotenoid content in sunflower, especially at 20 ppm. The chlorophylls, carbohydrates, proteins, phenolic compounds, and free proline contents were markedly promoted in response to Se-NPs concentrations. The antioxidant enzymes (peroxidase, catalase, superoxide dismutase, and polyphenol oxidase) were significantly decreased compared with the control. Data analysis showed that the highest mortality for the 1st, 2nd, 3rd, 4th, and 5th instar larvae of Agrotis ipsilon was achieved at 25 ppm with percentages of 89.7 ± 0.3, 78.3 ± 0.3, 72.3 ± 0.6, 63.7 ± 0.3, and 68.7 ± 0.3 respectively after 72 h.
Prothrombotic Phenotype in COVID-19: Focus on Platelets

COVID-19 infection is associated with a broad spectrum of presentations, but alveolar capillary microthrombi have been described as a common finding in COVID-19 patients, appearing as a consequence of a severe endothelial injury with endothelial cell membrane disruption. These observations clearly point to the identification of a COVID-19-associated coagulopathy, which may contribute to thrombosis, multi-organ damage, and cause of severity and fatality. One significant finding that emerges in prothrombotic abnormalities observed in COVID-19 patients is that the coagulation alterations are mainly mediated by the activation of platelets and intrinsically related to viral-mediated endothelial inflammation. Beyond the well-known role in hemostasis, the ability of platelets to also release various potent cytokines and chemokines has elevated these small cells from simple cell fragments to crucial modulators in the blood, including their inflammatory functions, that have a large influence on the immune response during infectious disease. Indeed, platelets are involved in the pathogenesis of acute lung injury also by promoting NET formation and affecting vascular permeability. Specifically, the deposition by activated platelets of the chemokine platelet factor 4 at sites of inflammation promotes adhesion of neutrophils on endothelial cells and thrombogenesis, and it seems deeply involved in the phenomenon of vaccine-induced thrombocytopenia and thrombosis. Importantly, the hyperactivated platelet phenotype along with evidence of cytokine storm, high levels of P-selectin, D-dimer, and, on the other hand, decreased levels of fibrinogen, von Willebrand factor, and thrombocytopenia may be considered suitable biomarkers that distinguish the late stage of COVID-19 progression in critically ill patients.
Comparison of the sum capacities of the m-O, PN/O and PN signature sequence sets

We make a comparison of the sum capacities, under equal input-energy constraint, of three signature sequence sets, labeled 'm-O', 'PN/O' and 'PN'. We consider each set containing K sequences of N chips with K>N, giving rise to channel oversaturation. It is found that with increasing load K/N and increasing SNR, all sequence sets have a sum capacity that comes closer to the upper bound on sum capacity, corresponding to the Gaussian multiple access channel (GMAC). As compared to the GMAC, the m-O set suffers from a reduction in sum capacity of at most only 2.4%. For a high spreading factor N, the maximum loss in sum capacity amounts to 4.6% and 21.4% for PN/O and PN respectively.