Miracle-dz/UniFAR-FTUs huggingface dataset:
Polymer additive engineering of K2CuBr3 nanocrystalline films to achieve efficient and stable deep-blue emission

Recently, non-toxic alternatives to lead-halide perovskites have been greatly sought after in optoelectronics applications. Deep-blue luminescent material is mainly required for fabricating white light source and expanding the color gamut of full-color displays. However, the synthesis of high-performance lead-free perovskite films with efficient blue emission is still a critical challenge currently, limiting their further practical applications. Here, a novel strategy is reported to prepare non-toxic and deep-blue-emitting K2CuBr3 nanocrystalline films by introducing polymer poly(methyl methacrylate) (PMMA) additives into the anti-solvent. It is found that the PMMA additives could effectively reduce the grain size and improve the crystallinity of K2CuBr3 films, resulting in an enhanced radiative recombination by defect passivation and confinement of excitons in the nanograins. As a result, the PMMA-treated K2CuBr3 films achieve a bright deep-blue light with color coordinates at (0.155, 0.042), and the photoluminescence quantum yield obtained is about 3.3 times that of the pristine sample. Moreover, the treated K2CuBr3 films exhibit a substantially enhanced stability under harsh environmental conditions, maintaining >70% of their initial performances in high humidity environment (50%–70% humidity, 190 h) or under uninterrupted ultraviolet light radiation (254 nm, 3.4 mW cm−2, 150 h). These findings pave a promising strategy for achieving efficient and stable deep-blue metal halide films, showing their potential applications in optoelectronic devices.
EERCASE: Uma Ferramenta Robusta para Projeto Conceitual de Banco de Dados

Considerando a pluralidade de notações Enhanced Entity-Relationship (EER) e a carência de ferramentas robustas, este artigo apresenta a ferramenta EERCASE. Construída com base nas melhores práticas do paradigma Model Driven Development (MDD), EERCASE é capaz de impedir construções sintaticamente inválidas, indicar e explicar os erros de semântica estática e gerar código de definição de dados impondo restrições não triviais. EERCASE tem sido usada para apoiar o ensino e a prática de projeto EER e oferece recursos não disponibilizados por outras ferramentas.
Design Net-Grid Subwavelength Gratings for High Quantum Efficiency Photodetectors

Subwavelength gratings (SWGs) that consist of net-grid structure are designed as infrared reflectors in this paper. By rigorous coupled wave approach (RCWA) and finite difference time domain (FDTD) method, we simulate its reflectivity which can reach 99.98% at 1. 55μm while maintaining reflectivity higher than 99% across the 1.47-1. 59μm wavelength range. We introduce SWG reflectors as the bottom mirrors in resonant cavity enhanced photodetectors (RCE PDs). RCE PD's quantum efficiency is increased to 95.7% at 1. 55μm and the device has a significant size reduction compared with only using DBR bottom mirror.
Food Packaging in India: An Overview

Packaging, today, is one of the most important element in the food network, guaranteeing food safety and maintenance of freshness among food products from the factories to the plates. There has been tremendous development in technology in the food sector which offers high quality products, increases the shelf life and also therefore safeguards the food security. Our motivation and the main objective of this review paper is to bring out the fact of how food packaging plays a role in assuring the quality and standards of food and to showcase how intellectual property rights can be used in protecting food packaging. The review paper also focuses on some of the new packaging technologies that have transformed the food sector to meet today’s needs and the impact of food packaging on our environment. Further, this research paper also highlights the regulations governing the packaging and judicial decision.
EFECT OF MINERAL AND BIO-PHOSPHATE FERTILIZATION ON THE GROWTH, ESSENTIAL OIL PRODUCTIVITY AND CHEMICAL COMPOSITION OF MARJORAM PLANT

Two field experiments were carried out during two summer successive seasons of 2004 and 2005 at the Experimental Station of the Medicinal and Aromatic Plants, Fac. Agric. , Mansoura Univ. to evaluate the effect of phosphorus fertilizer levels (0, 15.5, 23.25, and 31 kg P2O5 / fed) with or without bio-fertilizers (VAMycorrhizae and phosphorein) on vegetative growth, herb yield and essential oil content as well as mineral elements (N, P and K) of marjoram plant. Data revealed that plants treated with phosphorus recorded considerable increments with regard to growth characters, herb yield, essential oil content, components and mineral elements. The best results in this concern were obtained by using the highest level of phosphorus (31kg P2O5 / fed). Also, obtained data showed that bio-fertilizers (VA-Mycorrhizae and phosphorein) improved the growth characters expressed as plant height, number of branches, plant fresh and dry weight, herb yield, essential oil content and mineral elements compared with control. The interaction between mineral and bio-phosphate improved plant growth which gave higher herb yield, essential oil content and mineral elements resulted from Mycorrhizae treatment with 23.25 or 31 kg P2O5 / fed, compared with other treatments. The highest values resulted from Mycorrhizae with 31 kg P2O5 / fed treatment plants.
Using topographic attributes to predict the density of vegetation layers in a wet eucalypt forest

ABSTRACT Mapping the structure of forest vegetation with field surveys or high-resolution light detection and ranging (LiDAR) data is costly. We tested whether landscape topography and underlying geology could predict the vegetation density of a 19 km2 area of wet eucalypt forest at the Warra Long-Term Ecological Research Supersite, Tasmania, Australia. Using spatial layers for 12 topographic attributes derived from digital terrain models (DTMs) and a geology layer, we predicted the vegetation density of three strata with a high degree of accuracy (validation root mean square error ranged from 9.0% to 13.7%). The DTMs with 30 m resolution provided greater predictive accuracy than DTMs with higher resolution. The importance of different variables depended on spatial resolution and strata. Among the predictor variables, geology generally had the highest predictive importance, followed by solar radiation. Topographic Position Index, aspect, and System for Automated Geoscientific Analyses (SAGA) Wetness Index had moderate importance. This study demonstrates that geological and topographic attributes can provide useful predictions for the density of vegetation layers in a tall wet sclerophyll primary forest. Given the good performance of the model based on 30 m DTM resolution, the predictive power of the models could be tested on a larger geographical area using lower-density LiDAR point clouds combined with medium-resolution satellite data.
Oncogenic NRAS Accelerates Rhabdomyosarcoma Formation When Occurring within a Specific Time Frame during Tumor Development in Mice

In the Ptch+/- mouse model for embryonal rhabdomyosarcoma (ERMS), we recently showed that oncogenic (onc) H-, K- or NRAS mutations do not influence tumor growth when induced at the advanced, full-blown tumor stage. However, when induced at the invisible ERMS precursor stage at 4 weeks of age, tumor development was enforced upon oncHRAS and oncKRAS but not by oncNRAS, which instead initiated tumor differentiation. These data indicate that oncRAS-associated processes differ from each other in dependency on the isoform and their occurrence during tumor development. Here, we investigated the outcome of oncNRAS induction at an earlier ERMS precursor stage at 2 weeks of age. In this setting, oncNRAS accelerates tumor growth because it significantly shortens the ERMS-free survival and increases the ERMS incidence. However, it does not seem to alter the differentiation of the tumors. It is also not involved in tumor initiation. Together, these data show that oncNRAS mutations can accelerate tumor growth when targeting immature ERMS precursors within a specific time window, in which the precursors are permissive to the mutation and show that oncNRAS-associated processes differ from each other in dependency on their occurrence during tumor development.
A case study on correlations of axial shortening and deflection with concrete creep asymptote in segmentally-erected prestressed box girders

Large-span prestressed concrete bridges are sensitive to concrete creep which has a profound effect on bridge safety and serviceability. In this study, 3D computational simulations based on different concrete creep and shrinkage models are employed to investigate the long-term deformation of a prestressed concrete bridge. An improved rate-type algorithm powered by the continuous spectrum method and exponential algorithm is utilised to enhance the computational accuracy and efficiency. The asymptotic behaviours of the deflection and shortening at the main cantilever tip are captured. Compared to deflection, the asymptotic slope of the shortening curve is more systematically correlated with the asymptotic trend of creep models containing logarithmic time functions and this close correlation can be established at a relatively young age after construction. Thus, it can be used to realistically predict long-term deformation, as well as approximate the governing parameters in the compliance functions. Sensitivity studies based on Latin hypercube sampling are employed to explore the scatter band of the deflection and shortening due to material randomness, prestress fluctuation and environmental variations. Its effect on the correlation between deformation and creep asymptote is comprehensively examined. Furthermore, the influence of individual tendons on the deflection is probed based on the sensitivity investigation.
Harmonic Suppression and Size Reduction of a Low-Profile CP Patch Antenna by Using Nondegenerate Modes

A novel design method of harmonic suppression and size reduction of a circularly polarized (CP) microstrip patch antenna (MPA) is presented by using nondegenerate modes. Based on a circular MPA, a pair of orthogonal modes could be generated between these undesired resonant modes. Then, by loading the shorting pins in a quarter fan-shaped patch, all these undesirable high-order modes could be suppressed between them. After that, the higher and lower modes are moved closer to each other by cutting a long slot at the angle bisector of the fan-shaped patch, providing the CP radiation pattern. Finally, a prototype of this proposed antenna has been designed, produced, and measured to verify the design concept. The experimental results show that the proposed antenna has an impedance bandwidth of 286 MHz (13 774–14 060 MHz), axial ratio bandwidth of 80 MHz (13 900–13 980 MHz), and a left-hand CP peak gain of around 4.8 dBi. Most importantly, the CP antenna has realized the harmonic suppression of about 15 GHz, which has an obvious advantage as compared to the traditional CP MPA. Moreover, the antenna still holds the primary low-profile, single-radiator, simple structure, and high-efficiency simultaneously.
A Multiple Case Study of Community-Based Water Management Initiatives in New Brunswick

Sustainable development is based on a search for strategies compatible with social values, economic feasibility and ecosystem integrity. In the domain of water, integrated resource management is widely recognized as a strategy to sustainability as reflected in the Canadian Water Resources Association’s Sustainability Principles. Central to furthering this recognition as well as the acceptance and implementation of integration in water management is the examination of contemporary institutional experience. This paper uses a multiple case study methodology to examine the contribution the community-based organizations make to integrated water management in the province of New Brunswick. A comprehensive framework of integration indices with a broad spectrum of management elements provides guidance for the examination and analysis of five provincial cases. We conclude that the five organizations have adapted critical elements of integration to varying degrees and that their experience generally confirms observations and theories regarding the implementation of integrated resource management.
Experimental Digital Animation in Fluid Dynamics

Digital imaging became one of the main tools for studying unsteady flows. Modern high-speed cameras support video recording at high frame rates which makes it possible to study extended high-speed processes. We demonstrate here different animations: water temperature field evolution with a frame rate of 115 Hz; high-speed shadowgraph visualisation of different flows - water jet formation process (100 000 frames / s), shadowgraph animations of the shock waves created by the pulsed discharges (124 000 frames / s). Also, as an example of plasma flow visualization technique, we offer 9 sequential images of the shock wave - pulse gas discharge visualization obtained by the high-speed CCD camera with the 100 ns delay between frames. We developed in-house software based on the machine vision and learning techniques for automatic flow animations processing. The examples of the automatic oblique shock detection using Canny edge detection and Hough transform and thermal plume detection based on the pre-trained convolutional neural network are provided and discussed.
Construction of Machine Learning Model Based on Text Mining and Ranking of Meituan Merchants

In the Web 2.0 era, the problem of uneven quality and overload of online reviews is very serious, and the cognitive cost of obtaining valuable content from them is getting higher and higher. This paper explores an effective solution to address comment overload by means of information recommendation in order to improve the utilization of online information and information service quality. This paper proposes a review ranking recommendation scheme that focuses on the information quality of reviews and places more emphasis on satisfying users’ personal information need. The paper’s approach is used to extract and rank low-frequency keywords that appear only once in the comment set. The more useful the extracted phrases are, the more useful this review will be and the higher the usefulness votes will be, which can reflect the actual situation of this product more objectively and accurately and facilitate better consumption decisions for consumers. The experimental results show that users’ satisfaction with the perceived usefulness of the reviews is jointly influenced by the information quality of Meituan’s reviews and users’ individual information needs; the recommendation strategy achieves the organic integration of the two, and the evaluation results under three different recommendation modes show that compared with “interest recommendation” and “utility recommendation,” the satisfaction score of “fusion recommendation” is the highest
Post-activation Performance Enhancement after a Bout of Accentuated Eccentric Loading in Collegiate Male Volleyball Players

The purpose of this study was to investigate the benefit of post-activation performance enhancement (PAPE) after accentuated eccentric loading (AEL) compared to traditional resistance loading (TR). Sixteen male volleyball athletes were divided in AEL and TR group. AEL group performed 3 sets of 4 repetitions (eccentric: 105% of concentric 1RM, concentric: 80% of concentric 1RM) of half squat, and TR group performed 3 sets of 5 repetitions (eccentric & concentric: 85% of 1RM). Countermovement jump (CMJ), spike jump (SPJ), isometric mid-thigh pull (IMTP), and muscle soreness test were administered before (Pre) exercise, and 10 min (10-min), 24 h (24-h), and 48 h (48-h) after exercise. A two-way repeated measures analysis of variance was used to analyze the data. Peak force and rate of development (RFD) of IMTP in AEL group were significantly greater (p < 0.05) than TR group. The height, peak velocity, and RFD of CMJ, height of SPJ, and muscle soreness showed no interaction effects (p > 0.05) groups x time. AEL seemed capable to maintain force production in IMTP, but not in CMJ and SPJ. It is recommended the use of accentuated eccentric loading protocols to overcome the fatigue.
Computationally-Efficient Overdetermined Blind Source Separation Based on Iterative Source Steering

This paper describesa computationally-efficient optimization algorithm for the blind source separation (BSS) of overdetermined mixtures. In the determined case, a matrix-inversion-free iterative source steering (ISS) algorithm has been proposed for estimating a square demixing matrix as a computationally-efficient alternative to the popular iterative projection (IP) algorithm. The IP algorithm is based on source-wise (i.e., row-wise) updates of the demixing matrix, and lends itself naturally to an extension to overdetermined independent vector analysis (IVA) called OverIVA. In contrast, the ISS algorithm changes the whole demixing matrix at every update, making its extension to the overdetermined case non-trivial. In this paper, we propose a modified ISS algorithm for OverIVA fully exploiting the computational savings of ISS. We also derive an overdetermined extension of independent low-rank matrix analysis (OverILRMA) with the modified ISS algorithm. Experimental results showed that the proposed ISS-based OverIVA and OverILRMA were comparable or superior to the conventional IP-based counterparts in speech separation performance while achieving lower computational cost.
A flying-capacitor ZVS PWM 1.5 kW DC-to-DC converter with half of the input voltage across the switches

This paper introduces an isolated flying-capacitor DC-to-DC converter which features half of the input voltage across the switches, zero-voltage-switching, operation at constant frequency, regulation by pulse-width-modulation, and low RMS current stress upon power switches. The complete operating principle, theoretical analysis, relevant equations and design example are provided in this paper. The experimental results of a 1.5 kW converter with 60 V, 25 A output. 600 V input, operating at 50 kHz switching frequency are also presented and discussed in the paper. The proposed converter is an alternative to the full-bridge ZVS-PWM DC-to-DC converter in high-input voltage applications.
Asymmetric ring-hybrid phase shifters and attenuators

A new structure of asymmetric ring-hybrid phase shifters and attenuators is presented. Each consists of an asymmetric ring hybrid and reflecting terminations, and it does not have any additional 90/spl deg/ phase delay line for utilizing symmetric reflecting terminations that conventional phase shifters use. To analyze these asymmetric ring-hybrid phase shifters, normalized impedance ratios NI/sub b/ and NI/sub d/ are introduced, and the possibilities to reduce the size of the reflecting terminations are presented. Using the new structure of the asymmetric ring-hybrid phase shifters, asymmetric ring-hybrid attenuators are synthesized. To analyze the attenuators, normalized resistance ratios NR/sub Lb/ and NR/sub Ld/ are introduced, so that the resistances in the reflection terminations can arbitrarily be determined. On the basis of the derived new structures, a uniplanar asymmetric ring-hybrid -135/spl deg/ phase shifter and a microstrip asymmetric 4-dB attenuator with 45/spl deg/ phase shift have been fabricated and measured. They show good agreement between measured and simulated results and they may be used for impedance transformers besides their original functions.
PRACTICAL SECURITY-BOUNDARY-CONSTRAINED DISPATCH MODELS FOR ELECTRICITY MARKETS

This paper concentrates on a robust charac- terization of system security, in terms of voltage collapse and oscillatory instabilities, in a "typical" multi-period DC-OPF auction and dispatch model. This characteriza- tion is based on the representation of the system security limits by means of a Neural Network (NN) approximation of the system security boundary. The proposed model is tested and compared with respect to a typical multi-period Security Constrained DC-OPF (SC-DC-OPF) model using the well-known two-area benchmark system. Results dem- onstrate that the approach ensures, in general, better locational marginal prices (LMPs) and guarantees that the operating points resulting from the optimization solution process are within the desired feasible and secure region, contrary to the typical multi-period SC-DC-OPF model, which may fail to meet this condition.
High fibre coupled output power 37 nm tunable laser module using matrix DFB laser

The thermally-controlled laser module, integrating 12 distributed feedback (DFB) lasers in the form of a 2×6 matrix to realise both high output power and wide wavelength tunability, has been fabricated. The module has shown excellent characteristics, such as high fibre coupled power over 30 mW and tunability over 37 nm.
Electronically tunable inverse active filters employing OTAs and grounded capacitors

This paper introduces inverse active filters employing operational transconductance amplifiers (OTAs) and grounded capacitors. The filter circuits can realise inverse low-pass, inverse band-pass and inverse high-pass transfer functions by addition of the circuit currents. Additionally, the circuit parameters ω0, Q and H can be set orthogonally or independently by adjusting the bias currents of the OTAs. The inverse filter circuits enjoy very low sensitivities to active and passive components. The achievement examples are given together with simulation results by PSPICE.
A Multiagent‐Based Microgrid Operation Method

In this paper, we propose an autonomous microgrid operation using a multiagent approach. The proposed multiagent system consists of seven types of agent: a single microgrid controller agent (MGC), several load agents (LAGs), several gas‐turbine (gas‐engine) agents (GAGs), several photovoltaic generation agents (PVAGs), several wind‐turbine generation agents (WTAGs), several battery agents (BAGs), and a single grid agent (GridAG). In a microgrid, LAGs act as consumers or buyers, GAGs, PVAGs, and WTAGs act as producers or sellers, and BAGs act as prosumers or sellers/buyers. In order to verify the performance of the proposed system, it is applied to a simple model system with different electrical power prices. From the simulation results, it can be seen that the proposed multiagent system can perform microgrid operations efficiently.