Miracle-dz/UniFAR-FTUs huggingface dataset:
Active food packaging films from alginate and date palm pit extract: Physicochemical properties, antioxidant capacity, and stability

Abstract Date palm pits are highly available and inexpensive palm date by‐products, representing a valuable source of natural antioxidants, particularly phenolic compounds. Date palm pit extract (DPPE) was prepared from these waste products and characterized for its phenolic content and in vitro antioxidant activity. Profiling DPPE by liquid chromatography coupled with mass spectrometry (LC/MS) showed the presence of dimers and trimers of (epi)catechin as the main constituents. Alginate‐based films with four increasing concentrations of DPPE (10%, 20%, 30%, and 40% w/w) were prepared by the casting method. DPPE incorporation reduced solubility values of alginate films by 37%–64% and their surface wettability by 72%–111%. The incorporation of 10% DPPE improved water vapor barrier properties and increased tensile strength (TS) and elongation at break (%E) of alginate films by more than 23%, 50%, and 45%, respectively. The film containing 40% DPPE showed the lowest loss of phenolic content (32%), DPPH (1,1‐diphenyl‐2‐picrylhydrazyl) scavenging activity (38%), and ferric reducing antioxidant power (FRAP) (30%) after storage for 3 months.
Human-Computer Integration: Towards Integrating the Human Body with the Computational Machine

Human-Computer Integration (short: HInt) is an emerging new paradigm in the human-computer interaction (HCI) field. Its goal is to integrate the human body and the computational machine. This article presents two key dimensions of Human-Computer Integration (bodily agency and bodily ownership) and proposes a set of challenges that we believe need to be resolved in order to bring the paradigm forward. Ultimately, our work aims to facilitate a more structured investigation into human body and computational machine integration
Structural analysis of traditional Chinese blocked-keyhole padlocks

Abstract. The use of locks has a history of thousands of years. Barbed-spring padlocks are the typical locks used in ancient China and can be divided into three main types, namely open-keyhole, hidden-keyhole, and blocked-keyhole padlocks. Since the mechanical structures of padlocks differ in terms of the opening process, they are reconfigurable mechanisms. With the combinations and changes of springs, keys, and keyholes, the padlocks have a variety of different unlocking methods which provide higher security. This work uses variable chains to analyze the structures of the blocked-keyhole padlocks. The representations of joints and chains are presented first. The structures and characteristics of representative barbed-spring padlocks are introduced. Six examples are provided to demonstrate the opening processes of blocked-keyhole padlocks. The result shows that it is a useful tool to realize the structural difference in the padlocks during operation.
New formalism for selfconsistent parameters optimization of highly efficient solar cells

We analysed self-consistently photoconversion efficiency of direct-gap A3B5 semiconductors based solar cells and optimised their main physical characteristics. Using gallium arsenide (GaAs) as the example and new efficient optimization formalism, we demonstrated that commonly accepted light re-emission and re-absorption in solar cells (SC) in technologically produced GaAs (in particular, with solid- or liquid-phase epitaxy) are not the main factors responsible for high photoconversion efficiency. As we proved instead, the doping level of the base material and its doping type as well as Shockley-Read-Hall (SRH) and surface recombination velocities are much more important factors responsible for the photoconversion. We found that the maximum photoconversion efficiency (about 27% for AM1.5 conditions) in GaAs with typical parameters of recombination centers can be reached for p-type base doped at 2 ⋅ 10 17 cm -3 . The open circuit voltage OC V formation features are analyzed. The optimization provides a significant increase in OC V and the limiting photoconversion efficiency close to 30%. The approach of this research allows to predict the expected solar cells (for both direct-gap and indirect-band semiconductor) characteristics if material parameters are known. Obtained formalism allows to analyze and to optimize mass production both tandem solar cell (TSC) and one-junction SC parameters.
Eliminating proxy errors from capital estimates by targeted exact computation

Determining accurate capital requirements is a central activity across the life insurance industry. This is computationally challenging and often involves the acceptance of proxy errors that directly impact capital requirements. Within simulation-based capital models, where proxies are being used, capital estimates are approximations that contain both statistical and proxy errors. Here, we show how basic error analysis combined with targeted exact computation can entirely eliminate proxy errors from the capital estimate. Consideration of the possible ordering of losses, combined with knowledge of their error bounds, identifies an important subset of scenarios. When these scenarios are calculated exactly, the resulting capital estimate can be made devoid of proxy errors. Advances in the handling of proxy errors improve the accuracy of capital requirements.
Dynamic Shear Responses of Polymer-polymer Interfaces

In multi-component soft matter, interface properties often play a key role in determining the properties of the overall system. The identification of the internal dynamic structures in non-equilibrium situations requires the interface rheology to be characterized. We have developed a method to quantify the rheological contribution of soft interfaces and evaluate the dynamic modulus of the interface. This method reveals that the dynamic shear responses of interfaces in bilayer systems comprising polypropylene and three different polyethylenes can be classified as having hardening and softening effects on the overall system: a interface between linear long polymers becomes more elastic than the component polymers, while large polydispersity or long-chain-branching of one component make the interface more viscous. We find that the chain lengths and architectures of the component polymers, rather than equilibrium immiscibility, play an essential role in determining the interface rheological properties.
A Niching Regression Adaptive Memetic Algorithm for Multimodal Optimization of the Euclidean Traveling Salesman Problem

The traveling salesman problem (TSP) has been studied for many years. In particular, the multimodal optimization of the TSP is important for practical applications, because decision-makers can select the best candidate based on current conditions and requirements. In the Euclidean TSP, there are <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> points in <inline-formula> <tex-math notation="LaTeX">$\mathbb {R}^{d}$ </tex-math></inline-formula> space with Euclidean distance between any two points, that is, <inline-formula> <tex-math notation="LaTeX">$d(x, y) =||x-y||_{2}$ </tex-math></inline-formula>. The goal is to find a tour of minimum length visiting each point. In this article, we only focus on the case that <inline-formula> <tex-math notation="LaTeX">$d=2$ </tex-math></inline-formula>. Recently, in order to efficiently handle the multimodal optimization of the TSP, some methods have been developed to deal with it. Nevertheless, these methods usually perform poorly for large-scale cases. In this article, we propose a niching regression adaptive memetic algorithm (MA) to handle the multimodal optimization of the Euclidean TSP. We use the MA as the baseline algorithm and incorporate the neighborhood strategy to maintain the population diversity. In addition, we design a novel regression partition initialization and adaptive parameter control to enhance our algorithm, and propose the concept of the redundant individual to improve the search efficiency. To validate the performance of the proposed algorithm, we comprehensively conduct experiments on the multimodal optimization of TSP benchmark and the well-known TSPLIB library. The experimental results reveal that the proposed method outperforms other methods, especially for large-scale cases.
KECK ADAPTIVE OPTICS OBSERVATIONS OF THE PROTOSTELLAR DISK AROUND RADIO SOURCE I IN THE ORION KLEINMANN–LOW NEBULA

We have made the first detection of a near-infrared counterpart associated with the disk around Radio Source “I,” a massive protostar in the Kleinmann–Low nebula in Orion, using imaging with laser guide star adaptive optics on the Keck II telescope. The infrared emission is evident in images acquired using L′ (3.8 μm) and Ms (4.7 μm) filters and is not detectable at K′ (2.1 μm). The observed morphology strongly suggests that we are seeing some combination of scattered and thermal light emanating from the disk. The disk is also manifest in the L′/Ms flux ratio image. We interpret the near-infrared emission as the illuminated surface of a nearly edge-on disk, oriented so that only the northern face is visible; the opposite surface remains hidden by the disk. We do not see infrared radiation associated directly with the star proposed to be associated with Source “I. ” The data also suggest that there is a cavity above and below the disk that is oriented perpendicular to the disk and is sculpted by the known, strong outflow from the inner disk of Source I. We compare our data to models of a protostar with a surrounding disk, envelope, and wind-blown cavity in order to elucidate the nature of the disk around Radio Source I.
Diamond particles as nanoantennas for nitrogen-vacancy color centers

The photoluminescence of nitrogen-vacancy (NV) centers in diamond nanoparticles exhibits specific properties as compared to NV centers in bulk diamond. For instance large fluctuations of lifetime and brightness from particle to particle have been reported. It has also been observed that for nanocrystals much smaller than the mean luminescence wavelength, the particle size sets a lower threshold for resolution in Stimulated Emission Depletion (STED) microscopy. We show that all these features can be quantitatively understood by realizing that the absorption-emission of light by the NV center is mediated by the diamond nanoparticle which behaves as a dielectric nanoantenna.
The Regional Refinement of Global Gravity Field Models from Kinematical Orbits

A propargyl ester compound of the formula (I), (I) wherein R1 is hydrogen, halogen, C1-C4 alkyl or C1-C4 alkoxy; Z is C5-C10 alkylene which may be substituted with C1-C4 alkyl; and m is an integer of from 1 to 5; with the proviso that when m is an integer of 2 or more, the substituents represented by R1 may be the same or different; is incorporated into an acaricidal composition as an active ingredient, which can be used for controlling acarines.
The distribution of Lyman-limit absorption systems during and after reionization

Lyman-limit absorption systems can play many important roles during and after cosmological reionization. Unfortunately, due to the prohibitively large dynamic range required, it is impossible to self-consistently include these systems in cosmological simulations. Using fast and versatile seminumeric simulations, we systematically explore the spatial distribution of absorption systems during and following reionization. We self-calibrate the resulting number of absorbers to the mean free path (mfp) of the ionizing ultraviolet background (UVB), and present results at a given mfp and neutral hydrogen fraction. We use a simple optical depth criterion to identify the locations of absorbers. Our approach is fairly robust to uncertainties such as missing subgrid structure. Unlike at lower redshifts where the UVB is relatively uniform, at higher redshifts the fluctuations in the UVB and the H II morphology of reionization can drive the large-scale distribution of absorption systems. Specifically, we find that absorbers are highly correlated with the density field on small scales, and then become anti-correlated with the UVB on large scales. After reionization, the large-scale power spectrum of the absorbers traces the UVB power spectrum, which can be predicted with a simple analytic extension of the halo model. During reionization, absorbers tend to preferentially lie inside overdensities (i.e. filaments) of the recently ionized intergalactic medium. Absorbers may also dominate the small-scale (k 1M pc −1 ) 21-cm power during and after reionization. Conversely, they smooth the contrast on moderate scales. Once the H II regions grow to surpass the mfp, the absorbers add to the large-scale 21-cm power. Our results should prove useful in interpreting future observations of the reionization epoch.
IGR J11014-6103: a newly discovered pulsar wind nebula?

Context. IGR J11014-6103 is one of the still unidentified hard X-ray INTEGRAL sources, reported for the first time in the 4th IBIS/ISGRI catalog. Aims. We investigated the nature of IGR J11014-6103 by carrying out a multiwavelength analysis of the available archival observations performed in the direction of the source. Methods. We present the results of the timing and spectral analysis of all the X-ray observations of IGR J11014-6103 carried out with ROSAT, ASCA, Einstein ,S wift, andXMM-Newton. We used them to search for possible counterparts to the source in the optical, infrared, radio and γ-ray domain. Results. Our analysis reveals that IGR J11014-6103 is comprised of three different X-ray emitting regions: a point-like source, an extended object, and a cometary-like “tail” (∼4 arcmin). A possible radio counterpart positionally coincident with the source was also identified. Conclusions. Based on these results, we suggest that the emission from IGR J11014-6103 is generated by a pulsar wind nebula produced by a high-velocity pulsar. IGR J11014-6103 might be the first of these systems detected with INTEGRAL IBIS/ISGRI.
Attracted by a Song: Image-building and tourist-attracting effects of destination songs

ABSTRACT Taking a popular folk song in China, Chengdu, as an example, this paper uses sensory marketing theory to analyze the impact of destination songs on listeners’ perception of destination image and discusses how auditory stimulation promotes destination brand building and attracts potential tourists. Results showed that the experience of the destination song significantly affects the listeners’ perception of destination image, which leads to a greater willingness to visit by enhancing the place attachment between the listeners and the destination. The experience of the destination song can also enhance the listeners’ willingness to visit by directly establishing place attachment to the destination through the non-mental processing path. Compared with the path of image building, the non-mental processing path exerts a stronger influence on the willingness to visit. The results of this study extend the findings in the destination sensory marketing and tourist behavior literature. Additionally, we provide actionable guidelines for destination marketing organizations on how to attract tourists with destination songs.
THE ROLE OF TORSIONAL ALFVÉN WAVES IN CORONAL HEATING

In the context of coronal heating, among the zoo of magnetohydrodynamic (MHD) waves that exist in the solar atmosphere, Alfvén waves receive special attention. Indeed, these waves constitute an attractive heating agent due to their ability to carry over the many different layers of the solar atmosphere sufficient energy to heat and maintain a corona. However, due to their incompressible nature these waves need a mechanism such as mode conversion (leading to shock heating), phase mixing, resonant absorption, or turbulent cascade in order to heat the plasma. Furthermore, their incompressibility makes their detection in the solar atmosphere very difficult. New observations with polarimetric, spectroscopic, and imaging instruments such as those on board the Japanese satellite Hinode, or the Crisp spectropolarimeter of the Swedish Solar Telescope or the Coronal Multi-channel Polarimeter, are bringing strong evidence for the existence of energetic Alfvén waves in the solar corona. In order to assess the role of Alfvén waves in coronal heating, in this work we model a magnetic flux tube being subject to Alfvén wave heating through the mode conversion mechanism. Using a 1.5 dimensional MHD code, we carry out a parameter survey varying the magnetic flux tube geometry (length and expansion), the photospheric magnetic field, the photospheric velocity amplitudes, and the nature of the waves (monochromatic or white-noise spectrum). The regimes under which Alfvén wave heating produces hot and stable coronae are found to be rather narrow. Independently of the photospheric wave amplitude and magnetic field, a corona can be produced and maintained only for long (>80 Mm) and thick (area ratio between the photosphere and corona >500) loops. Above a critical value of the photospheric velocity amplitude (generally a few km s−1) the corona can no longer be maintained over extended periods of time and collapses due to the large momentum of the waves. These results establish several constraints on Alfvén wave heating as a coronal heating mechanism, especially for active region loops.
Search and characterization of T-type planetary mass candidates in the σ Orionis cluster

Abstract We present new photometric and astrometric data available for S Ori 70 and 73, the two T-type planetary-mass member candidates in the σ Orionis cluster (~3 ± 2 Myr, d~360 pc). S Ori 70 (J ~ 19.9 mag) has a spectral type of T5.5 ± 1.0 measured from published near-infrared spectra, while no spectroscopic data are available for S Ori 73 (J ~ 21 mag). We estimate the spectral type of S Ori 73 by using J, H, and CH4off (λc=1.575 μm, Δλ=0.112 μm) photometry and comparing the H-CH4off index of S Ori 73 with the colors of field stars and brown dwarfs of spectral types in the range F to late T. The locations of S Ori 70 and 73 in the J-H vs H-CH4off color-color diagram are consistent with spectral types T8 ± 1 and T4 ± 1, respectively. Proper motion measurements of the two sources are larger than the motion of the central σ Ori star, making their cluster membership somehow uncertain.
Trends in Intelligent and AI-Based Software Engineering Processes: A Deep Learning-Based Software Process Model Recommendation Method

In recent years, numerous studies have successfully implemented machine learning strategies in a wide range of application areas. Therefore, several different deep learning models exist, each one tailored to a certain software task. Using deep learning models provides numerous advantages for the software development industry. Testing and maintaining software is a critical concern today. Software engineers have many responsibilities while developing a software system, including coding, testing, and delivering the software to users via the cloud. From this list, it is easy to see that each task calls for extensive organization and preparation, as well as access to a variety of resources. A developer may consult other code repositories, websites with related programming content, and even colleagues for information before attempting to build and test a solution to the problem at hand. In this investigation, we aim to identify the factors that led to developing the recommender. This system analyzes the recommender's performance and provides suggestions for improving the software based on users' opinions.
The era of cultivating smart rice with high light efficiency and heat tolerance has come of age

How to improve the yield of crops has always been the focus of breeding research. Due to the population growth and global climate change, the demand for food has increased sharply, which has brought great challenges to agricultural production. In order to make up for the limitation of global cultivated land area, it is necessary to further improve the output of crops. Photosynthesis is the main source of plant assimilate accumulation, which has a profound impact on the formation of its yield. This review focuses on the cultivation of high light efficiency plants, introduces the main technical means and research progress in improving the photosynthetic efficiency of plants, and discusses the main problems and difficulties faced by the cultivation of high light efficiency plants. At the same time, in view of the frequent occurrence of high-temperature disasters caused by global warming, which seriously threatened plant normal production, we reviewed the response mechanism of plants to heat stress, introduced the methods and strategies of how to cultivate heat tolerant crops, especially rice, and briefly reviewed the progress of heat tolerant research at present. Given big progress in these area, the era of cultivating smart rice with high light efficiency and heat tolerance has come of age.
Adaptive error control for finite element approximations of the lift and drag coefficients in viscous flow

We derive estimates for the error in a variational approximation of the lift and drag coefficients of a body immersed into a viscous flow governed by the Navier-Stokes equations. The variational approximation is based on computing a certain weighted average of a finite element approximation to the solution of the Navier-Stokes equations. Our main result is an a posteriori estimate that puts a bound on the error in the lift and drag coefficients in terms of the local mesh size, a local residual quantity, and a local weight describing the local stability properties of an associated dual problem. The weight may be approximated by solving the dual problem numerically. The error bound is thus computable and can be used for quantitative error estimation; we apply it to design an adaptive finite element algorithm specifically for the approximation of the lift and drag coefficients.
Constructing New Measures in Program Evaluation

Principals are often asked to take the lead in conducting a program evalua­ tion in their own schools. Whenever possible, principals and their campus colleagues who serve on the school evaluation team should plan to use relevant archival data to answer evaluation questions of interest. How­ ever, data already available in the schools do not always provide the in­ formation needed to complete a spe­ cific program evaluation study. When this situation arises, new measures must be constructed. The required new measures can be qualitative, quantita­ tive, or both. This article is designed to focus on two essential characteristics needed to construct new measures that yield accu­ rate and relevant evaluation data. These two characteristics are explored first in terms of constructing quantitative measures (focusing on validity and reli­ ability) and then on qualitative mea­ sures (focusing on credibility and de­ pendability). With this design in mind, the article is divided into two parts. Part One poses and then answers three basic questions dealing with the construction of new quantitative measures. Part Two poses and then answers three corre­ sponding questions dealing with the construction of qualitative measures. Taken collectively, these six ques-