Miracle-dz/UniFAR-FTUs huggingface dataset:
Uncertainty Issues in Automated Web Service Selection

—Present world is an era of automation, machines have been granted the power of decision making, so is the case in Information Science. Recent developments in web services have shown the capability of semantic web in decision making through automated Discovery & Selection. Though automated web service discovery is a huge achievement in information Science but there lies the uncertainty factor which hampers the accuracy of decision making thus making it difficult to deliver exact service. In this paper we proposed an experimental system to identify uncertainty issues related to automated Web Service processing and shown how these uncertainties can be reduced through Web Content Mining and User Preference Mining. The paper is concluded with the discussion of possible future enhancement in Web modeling standards for handling uncertainty Issues.
FedServ: Federated Task Service in Fog-Enabled Internet of Vehicles

In this paper, we present FedServ, a federated task service system for fog-enabled Internet of vehicles (IoV), using which we aim to minimize the delay of vehicle task service. FedServ considers different task service requirements such as delay, computation-intensiveness, processing units required, and energy consumption. The existing literature mainly focuses on the delay requirement of tasks and considers the energy consumption for task processing, whereas FedServ aims to achieve the Quality of Service (QoS) of the task while optimizing different resource requirements for task service. FedServ provisions the federated task service by fragmenting the tasks, which minimizes the task complexity while preserving task fragment dependency. To determine the suitable fog nodes for task fragment service, we formulate the problem as a coalition graph game. Analytical results depict that the proposed scheme minimizes the delay of the task service and the energy consumption while reducing the number of QoS violated tasks by 34.32%, 25.32%, and 22.78% compared to the existing schemes.
Module-Integrated Converter Based on Cascaded Quasi-Z-Source Inverter With Differential Power Processing Capability for Photovoltaic Panels Under Partial Shading

Conventional microinverter or module-integrated converter (MIC)-based photovoltaic (PV) systems are prone to be complex and costly because each MIC requires not only a boost converter to bridge a huge voltage gap between a PV panel and grid but also desirably a differential power processing (DPP) converter to preclude partial shading issues. This paper proposes a novel MIC based on cascaded quasi-Z-source inverters (qZSIs) with DPP capability. A traditional qZSI and voltage multiplier (VM)-based DPP converter are integrated into a single unit with sharing active switches and magnetic components, achieving system- and circuit-level simplifications. In addition, a novel control strategy utilizing two control freedoms of shoot-through duty cycle $d_{st}$ and modulation index M to simultaneously perform maximum power point tracking (MPPT) and DPP function, respectively, is also presented. A 150 W prototype for a standard PV panel consisting of three substrings is built, and experimental tests are performed emulating partial shading conditions. The results demonstrate that the proposed integrated qZSI could perform MPPT with satisfactory preventing partial shading issues while generating ac voltage at the inverter output.
Photocatalytic Reduction of 4-Nitrophenol over Bismuth Sulfur/Titanium Dioxide Heterojunction: Influence of Bismuth Sulfur Content on the Reaction Efficiency

Photocatalytic reduction of 4-nitrophenol is one of the most promising methods to remove this hazardous pollutant from wastewaters and generated a raw compound widely use in industrial processes. In the present work, three Bi2S3/TiO2 catalysts with different Bi2S3 content, were synthesized by a hydrothermal method. The materials were characterized by XRD, X-ray fluorescence, physisorption of N2, HRTEM, UV-Vis reflectance spectroscopy and zeta potential measurements. The catalytic activity of the synthesized materials was tested in the photoreduction of 4-nitrophenol in aqueous medium. Although the results indicate the formation of heterojunction for all the samples, the physicochemical properties of each material depend on the Bi2S3 content. The material with 6%wt of Bi2S3 exhibit the major catalytic activity, reducing 80% of the target molecule within 60 minutes of reaction.
MIL-100(Fe) Sub-Micrometric Capsules as a Dual Drug Delivery System

Nanoparticles of metal–organic frameworks (MOF NPs) are crystalline hybrid micro- or mesoporous nanomaterials that show great promise in biomedicine due to their significant drug loading ability and controlled release. Herein, we develop porous capsules from aggregate of nanoparticles of the iron carboxylate MIL-100(Fe) through a low-temperature spray-drying route. This enables the concomitant one-pot encapsulation of high loading of an antitumor drug, methotrexate, within the pores of the MOF NPs, and the collagenase enzyme (COL), inside the inter-particular mesoporous cavities, upon the formation of the capsule, enhancing tumor treatment. This association provides better control of the release of the active moieties, MTX and collagenase, in simulated body fluid conditions in comparison with the bare MOF NPs. In addition, the loaded MIL-100 capsules present, against the A-375 cancer cell line, selective toxicity nine times higher than for the normal HaCaT cells, suggesting that MTX@COL@MIL-100 capsules may have potential application in the selective treatment of cancer cells. We highlight that an appropriate level of collagenase activity remained after encapsulation using the spray dryer equipment. Therefore, this work describes a novel application of MOF-based capsules as a dual drug delivery system for cancer treatment.
An Optimal Orthogonal Variance Decomposition

Let e and Sigma be respectively the vector of shocks and its variance covariance matrix in a linear system of equations in reduced form. This article shows that a unique orthogonal variance decomposition can be obtained if we impose a restriction that maximizes the trace of A, a positive definite matrix such that Az=e where z is vector of uncorrelated shocks with unit variance. Such a restriction is meaningful in that it associates the largest possible weight for each element in e with its corresponding element in z. It turns out that A=Sigma^1/2, the square root of Sigma.
The Second Generation (G2) Fingertip Sensor for Near-Distance Ranging and Material Sensing in Robotic Grasping*

To continuously improve robotic grasping, we are interested in developing a contactless fingertip-mounted sensor for near-distance ranging and material sensing. Previously, we demonstrated a dual-modal and dual sensing mechanisms (DMDSM) pretouch sensor prototype based on pulse-echo ultrasound and optoacoustics. However, the complex system, the bulky and expensive pulser-receiver, and the omni-directionally sensitive microphone block the sensor from practical applications in real robotic fingers. To address these issues, we report the second generation (G2) DMDSM sensor without the pulser-receiver and microphone, which is made possible by redesigning the ultrasound transmitter and receiver to gain much wider acoustic bandwidth. To verify our design, a prototype of the G2 DMDSM sensor has been fabricated and tested. The testing results show that the G2 DMDSM sensor can achieve better ranging and similar material/structure sensing performance, but with much-simplified configuration and operation. The primary results indicate that the G2 DMDSM sensor could provide a promising solution for fingertip pretouch sensing in robotic grasping.
Antimicrobial Blue Light for Prevention and Treatment of Highly Invasive Vibrio vulnificus Burn Infection in Mice

Vibrio vulnificus is an invasive marine bacterium that causes a variety of serious infectious diseases. With the increasing multidrug-resistant variants, treatment of V. vulnificus infections is becoming more difficult. In this study, we explored antimicrobial blue light (aBL; 405 nm wavelength) for the treatment of V. vulnificus infections. We first assessed the efficacy of aBL against five strains of V. vulnificus in vitro. Next, we identified and quantified intracellular porphyrins in V. vulnificus to provide mechanistic insights. Additionally, we measured intracellular reactive oxygen species (ROS) production and bacterial membrane permeabilization following aBL exposures. Lastly, we conducted a preclinical study to investigate the efficacy and safety of aBL for the prevention and treatment of burn infections caused by V. vulnificus in mice. We found that aBL effectively killed V. vulnificus in vitro in both planktonic and biofilm states, with up to a 5.17- and 4.57-log10 CFU reduction being achieved, respectively, following an aBL exposure of 216 J/cm2. Protoporphyrin IX and coproporphyrins were predominant in all the strains. Additionally, intracellular ROS was significantly increased following aBL exposures (P < 0.01), and there was evidence of aBL-induced permeabilization of the bacterial membrane (P < 0.0001). In the preclinical studies, we found that female mice treated with aBL 30 min after bacterial inoculation showed a survival rate of 81% following 7 days of observation, while only 28% survival was observed in untreated female mice (P < 0.001). At 6 h post-inoculation, an 86% survival was achieved in aBL-treated female mice (P = 0.0002). For male mice, 86 and 63% survival rates were achieved when aBL treatment was given 30 min and 6 h after bacterial inoculation, respectively, compared to 32% survival in the untreated mice (P = 0.0004 and P = 0.04). aBL did not reduce cellular proliferation or induce apoptosis. We found five cytokines were significantly upregulated in the males after aBL treatment, including MCSF (P < 0.001), MCP-5 (P < 0.01), TNF RII (P < 0.01), CXCL1 (P < 0.01), and TIMP-1 (P < 0.05), and one in the females (TIMP-1; P < 0.05), suggesting that aBL may induce certain inflammatory processes. In conclusion, aBL may potentially be applied to prevent and treat V. vulnificus infections.
Mechanical and Ka-Band Electrical Reliability Testing of Interconnects in 5G Wearable System-on-Package Designs Under Bending

Additive printing is being increasingly used for the fabrication of flexible electronics. Low-loss interconnects are required to achieve heterogeneous integration for 5G/mm-wave electronics packaging. In addition, the packaged systems need to have good mechanical and electrical reliability under bending conditions and survive from a large number of cyclic bending to be applied under flexible conditions. A microstrip line is designed and inkjet printed on a 3D printed polypropylene (PP) substrate. Three different metallization thicknesses of printed ink structures, 3 layers (6.13 μm, 6 layers (9.52 μm, and 9 layers (14.82 μm), are fabricated for characterization. Nine- layer microstrip line samples have the lowest insertion loss (less than 0.08 dB/mm) over 20-40 GHz. The maximum loss measured at bending condition is 0.17 dB/mm when the 3-layer samples are bent over the smallest mandrel with radius of 1 in. In the cyclic bending test over a mandrel with a radius of 1 in. , 6-layer samples are able to maintain < 0.10 dB/mm loss before 10000 cycles. Scanning electron microscopy (SEM) images show that thicker printed ink tends to have more micro defects formed during fabrication, and cracks grow longer as more numbers of bending cycles are performed. As the loading is similar among samples of different thicknesses, based on mechanical finite-element analysis (FEA) simulations, the original defects from fabrication dominate the reliability of microstrip lines. Ramp interconnects are designed and fabricated, and each interconnect features 0.1-0.5 dB insertion loss over 20-32 GHz. Preliminary bending tests with a bending radius of 1 in. show that the ramp interconnect has no physical changes up to 10000 bending cycles.
COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development

Background Coronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use an artificial intelligence (AI)–based technological intervention, such as a chatbot system. Chatbots can aid in the fight against the spread of COVID-19. Objective This paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status. Methods The design and development of COVID-Bot followed the principles of the design science research (DSR) process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot chatbot application programming interface (API) and its predefined tools, which are driven by various natural language processing algorithms. Results An evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8%) of the participants agreed that the chatbot functions well, 85 (80.2%) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1%) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2%) agreed that it is easy to use. The average obtained α was . 87, indicating satisfactory reliability. Conclusions This study demonstrates that incorporating chatbot technology into the educational system can combat the spread of COVID-19 among university students. The intelligent system does this by interacting with students to determine their vaccination status.
Project Work in CLIL: A Bibliographical Review

Learning foreign languages has become necessary in present society, yet most government policies to promote multilingualism seem to have been insufficient. In fact, the European Commission reports that only 35% of Europeans regularly use foreign languages in their daily lives. As a result, there is a real need for new language teaching approaches that improve the current educational system. The CLIL approach has been considered an alternative to other more traditional methods, since it involves the integration of language and content. Additionally, project work can be used in support of CLIL approaches in order to increase interaction among participants and promote learning autonomy, making this a desirable part of CLIL programs. To examine the issues surrounding project work in CLIL more closely, this paper provides bibliographical review that analyses the application of project work in CLIL and identifies its main features and possible benefits.
Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm

Airfoil optimization is an essential task in the aerodynamic layout design of the unmanned aerial vehicle (UAV). An objective optimization function was constructed based on the airfoil power factor and handling stability at various attack angles. The parametric mathematical model of the airfoil and aerodynamic parameter proxy model of airfoil were constructed using the Hicks-Henne improved function and CFD solution sample, focusing on the issues with particle swarm optimization algorithms such as slow convergence, a tendency to fall into local optimal solutions, and oscillation at a late stage; an optimization method for the low-speed airfoil of a small UAV based on improved particle swarm optimization was developed. When compared to standard particle swarm optimization, selective regenerative particle swarm optimization, and improved particle swarm optimization, the results indicate that the maximum thickness of the optimized rear airfoil decreases from 19.77% to 18.76%, the number of iterations decreases from 112 to 31, and the search speed of the improved particle swarm optimization significantly improves; the CFD results indicate that the optimized rear airfoil exhibits superior aerodynamic performance. On average, the airfoil’s maximum lift-to-drag ratio is increased by 11.9%, its maximum power factor is increased by 12.5%, and its pitching moment is reduced by 8.4%. Within the UAV’s speed range, the aerodynamic performance is stable.
Lupin Kernel Fibre: Nutritional Composition, Processing Methods, Physicochemical Properties, Consumer Acceptability and Health Effects of Its Enriched Products

The kernels (dehulled seeds) of lupins (Lupinus spp.) contain far higher dietary fibre levels than other legumes. This fibre is a complex mixture of non-starch polysaccharides making up the thickened cell walls of the kernel. The fibre has properties of both insoluble and soluble fibres. It is a major by-product of the manufacture of lupin protein isolates, which can be dried to produce a purified fibre food ingredient. Such an ingredient possesses a neutral odour and flavour, a smooth texture, and high water-binding and oil-binding properties. These properties allow its incorporation into foods with minimum reduction in their acceptability. The lupin kernel fibre (LKF) has demonstrated beneficial effects in clinical studies on biomarkers for metabolic diseases such as obesity, type 2 diabetes, and cardiovascular disease. It can be described as a “prebiotic fibre” since it improves gut micro-floral balance and the chemical environment within the colon. Thus, LKF is a health-functional ingredient with great opportunity for more widespread use in foods; however, it is evident that more non-thermal methods for the manufacture of lupin kernel fibre should be explored, including their effects on the physicochemical properties of the fibre and the effect on health outcomes in long term clinical trials.
Energy management system, generation and demand predictors: a review

A microgrid can integrate distributed energy resources for satisfying load demand, moreover, solve reliability, safety and environment issues. Spinning reserves in microgrid such as battery, gas and diesel generator can provide support for more sustainable operation in distributed networks. Critical loads for microgrid are crucial for the system to support at any cost, whereas, a non-critical loads can be rescheduled based on the status of supply and demand mechanism. Microgrid is perfect for renewable energy integration, such as wind and solar, thus, it eliminates intermittency issues of these sources with proper operation and control strategy. In short, a proper secondary control is the key to achieve economic benefits from microgrid. Microgrid is also used to generate profit by sending excess power to the main grid via net metering approach and makes traditional consumer of power into producer at the same time. This study will provide insights into state-of-the-art energy management as well as generation/consumption prediction issues, practices and research status. This review study will embark the deep foundation to study the energy management or prediction related study for microgrids.
Tokyo 2020 Olympics sustainability: An elusive concept or reality?

The Olympic Games continue to be a creator of adverse environmental impacts for host communities. Given the role that the Olympic Games play in sustainability due to their size, the number of people attending, new construction and infrastructure, and the extensive exposure by the media, this study investigated the Tokyo 2020 Games by evaluating the efficacy of their ecological sustainability efforts. Methods for this study were framed by the conceptual model of Müller et al. Specifically, the model is grounded on the three general aspects of sustainability: ecological, social, and economic. Compared to all Olympic events from 1992 through 2020, results from the present research indicated that Tokyo 2020 Olympics may have been the most ecologically friendly Games. This ecological record is significant, but it may be an unrealistic benchmark, given that the lack of attendance due to the COVID-19 pandemic influenced much of the ecological sustainability scores.
Nontrivial phase matching in helielectric polarization helices: Universal phase matching theory, validation, and electric switching

Significance Nonlinear three-wave mixing is a fundamental physical pathway in nonlinear optical materials, providing a route for producing a high-energy photon through two input photons. This report proposes a generalized phase-matching theory that evaluates second-order nonlinear optical properties for arbitrary polarization structures. It predicts light amplification pathways by using polarization helices, which are justified by experiments based on spontaneous helielectric nematic fluids. The unique polar electric field switching of the helielectrics enables the dynamic tuning of the emitted nonlinear light. The discovery not only introduces a general principle for nonlinear optical calculation but also contributes to a significant advance in diversifying the category and structure of polar materials.
Cost-effective RF interposer platform on low-resistivity Si enabling heterogeneous integration opportunities for beyond 5G

We present a highly-scaled packaging and system-integration RF interposer platform on low-resistivity Si (15-25 Ωcm). The heterogenous platform has been processed and characterized by measurements in the frequency range from 10 MHz to 110 GHz, revealing an interconnect insertion loss less than 0.3 dB/mm at 100 GHz and Qmax above 40 for integrated inductors. The excellent performance of the RF Si interposer enables high frequency interconnects between the ICs and the partial matching network in the package. The narrow pitch of the μbumps further enables flip-chip performance up to 500 GHz, allowing for heterogenous integration of multiple mm-wave ICs in different technologies, together with integrated high-Q passives, as well as antennas-in-package for RF to beyond-5G applications.
Generating geometric digital twins of buildings: a review

Generation of geometric Digital Twins of existing buildings relies on point cloud datasets and is still a manual-intensive and time-consuming process. This paper identi-ﬁes the most frequent object types in buildings, analyses how current commercial software and state-of-the-art research methods to generate geometry of these objects from Point Clouds. We summarise the main advantages of these methods and highlight limitations that limit these methods from broader adoption by the industry. Later, we identify the open challenges and discuss future directions to enable automating geometric Digital Twin generation.
Museum Experience Design: A Modern Storytelling Methodology

Abstract In this paper we propose a new direction for design, in the context of the theme “Next Digital Technologies in Arts and Culture”, by employing modern methods based on Interaction Design, Interactive Storytelling and Artificial Intelligence. Focusing on Cultural Heritage, we propose a new paradigm for Museum Experience Design, facilitating on the one hand traditional visual and multimedia communication and, on the other, a new type of interaction with artefacts, in the form of a Storytelling Experience. Museums are increasingly being transformed into hybrid spaces, where virtual (digital) information coexists with tangible artefacts. In this context, “Next Digital Technologies” play a new role, providing methods to increase cultural accessibility and enhance experience. Not only is the goal to convey stories hidden inside artefacts, as well as items or objects connected to them, but it is also to pave the way for the creation of new ones through an interactive museum experience that continues after the museum visit ends. Social sharing, in particular, can greatly increase the value of dissemination.