Miracle-dz/UniFAR-FTUs huggingface dataset:
The application of big data in the analysis of factors affecting agricultural business and product marketing in the intelligent agricultural platform

ABSTRACT Agricultural product network marketing still has problems such as weak infrastructure, incomplete logistics system, and unremarkable product brand, and there is a little combination of basic theory and practice. In order to improve the marketing effect of agricultural products, based on the intelligent recommendation algorithm, this paper combines data mining technology to construct an intelligent agricultural product business and product marketing recommendation model. Moreover, from the perspective of users and commodities, this paper proposes a general method of reordering recommendation results. In addition, this paper understands the results from the user perspective and the results from the commodity perspective as row sorting and column sorting respectively, and designs a linear fusion method of row sorting matrix and column sorting matrix to obtain new recommendation results. Finally, this paper constructs a framework model for agricultural product promotion, and analyses the performance of the model constructed in this paper from an experimental perspective. On the whole, the agricultural product marketing model constructed in this paper is effective.
PATTERNS OF MASCULINITIES IN DISCOURSE OF REPORTS ASSESSING CONDITION OF POLISH STARTUPS ORGANISATIONS

: The purpose of this article is presentation patterns of masculinities, present in startup discourse, which as professional structures with new management models, belonging to the knowledge-based economy model, and are an example of organizations typical of the information society. The method used in the research was critical discourse analysis, and the sample included five reports published by (the largest institution reporting on the condition of the Polish startup ecosystem) the Startup Poland Foundation from 2015-2019. This paper is also an attempt to apply the heuristic framework of integrative theories of gender to interpret the results of the research, from innovative organizational structures. The research results show that the symbolic dimension of startups is a significantly gendered space. The meanings attributed to working in a startup are strongly related to hegemonic masculinity (fight, win, economic domination, expansion, risk taking), which is embodied by a few actors (e.g. owners of Facebook, Amazon). At the same time, the specificity of hegemonic masculinity is redefined in this context (e.g. physical strength gives way to intellectual proficiency). There are also numerous appeals to practices in the startup discourse which could be associated with other gender constructs (cooperation, consent to make mistakes or creating wide networks of social relations).
Synthesis, interface activity and oil flooding experiment with an authentic sandstone microscopic model of cationic gemini surfactant

ABSTRACT In this work, a series of cationic gemini surfactants with different hydrophobic tails were prepared and characterized by element analysis, IR spectra, and 1H NMR spectra. The influencing factors of physic-chemical properties of these surfactants were carefully studied. The critical micelle concentration (CMC) of all the surfactants ranged from 3.87 × 10−4 mol L−1 to 8.97 × 10−4 mol L−1 and the values (γcmc) also ranged from 28.62 mN m−1 to 34.07 mN m−1 at CMC level by surface tension experiments. The consequences of the oil/water interface tension experiments indicated that all these prepared surfactants could lower oil/water interface tension to ultra-low with the combination of Na2CO3. C12-2-C12, and C14-2-C14 were chosen as the representative to evaluate the displacement efficiency in the oil flooding experiments using authentic sandstone microscopic model. The results showed that these surfactants could effectively improve the displacement efficiency by 10–20%.
Vergussbeton – Innovation in der Betoninstandsetzung

Vergussbetone und ‐mörtel werden bereits seit vielen Jahren sehr erfolgreich im Betonbau eingesetzt. In den vergangenen Jahren hat sich ihr Einsatz vom anfänglichen Vergießen dünner Schichten unter Brückenlagern und Maschinen bis auf den Bereich der Betoninstandsetzung unter schwierigen Randbedingungen erweitert. Aktuelles Regelwerk ist die Vergussbetonrichtlinie des DAfStb 2011 [1], die 2019 [2] aktualisiert wurde. Diese Überarbeitung wurde nun in die Musterverwaltungsvorschrift Technische Baubestimmung aufgenommen und wird in den kommenden Monaten in die Verwaltungsvorschriften Technische Baubestimmungen der Bundesländer übernommen.
A rapid microwave-induced synthesis of polyamides–containing amino acid moieties

5-(2-(9,10-Dihydro-9,10-ethanoanthracene-11,12-dicarboximido)propanoylamino)isophthalic acid as a novel aromatic dicarboxylic acid monomer was prepared in four steps. In the first step, cis-9,10-dihydro-9,10-ethanoanthracene-11,12-dicarboxylic acid anhydride was reacted with l-alanine in acetic acid solution and the resulting imide acid was obtained in high yield. In the second step, treatment of this imide acid with excess thionyl chloride gave acid chloride in good yield. In the last step, this acid chloride was reacted with 5-aminoisophthalic acid to provide novel bulky chiral aromatic dicarboxylic acid. The direct polycondensation reactions of this diacid with several aromatic diamines were carried out under microwave irradiation. In order to compare this technique with classical heating, the polymerization reactions were also performed under solution polycondensation conditions. The polymerization reactions occurred rapidly under microwave conditions and produced a series of novel optically active polyamides (PAs)–containing pendent 9,10-dihydro-9,10-ethanoanthracene-11,12-dicarboximido)propanoylamino group, with good yields and moderate inherent viscosities of 0.27–0.47 dL g−1. The resulting new PAs showed good solubility and are readily soluble in organic solvents. PAs were thermally stable, with 10% weight loss recorded at 411°C and 450°C under nitrogen atmosphere and char yields at 800°C higher than 44% and glass transition temperature above 163°C.
A putative WAVE regulatory complex (WRC) interacting receptor sequence (WIRS) in the cytoplasmic tail of HSV-1 gE does not function in WRC recruitment or neuronal transport

HSV-1 envelope glycoprotein E (gE) is important for viral egress and cell-to-cell spread but the host protein(s) involved in these functions have yet to be determined. We aimed to investigate a role for the Arp2/3 complex and actin regulation in viral egress based on the identification of a WAVE Regulatory Complex (WRC) Interacting Receptor Sequence (WIRS) in the cytoplasmic tail (CT) of gE. A WIRS-dependent interaction between the gE(CT) and subunits of the WRC was demonstrated by GST-pulldown assay and a role for the Arp2/3 complex in cell-to-cell spread was also observed by plaque assay. Subsequent study of a recombinant HSV-1 gE WIRS-mutant found no significant changes to viral production and release based on growth kinetics studies, or changes to plaque and comet size in various cell types, suggesting no function for the motif in cell-to-cell spread. GFP-Trap pulldown and proximity ligation assays were unable to confirm a WIRS-dependent interaction between gE and the WRC in human cell lines though the WIRS-independent interaction observed in situ warrants further study. Confocal microscopy of infected cells of neuronal origin identified no impairment of gE WIRS-mutant HSV-1 anterograde transport along axons. We propose that the identified gE WIRS motif does not function directly in recruitment of the WRC in human cells, in cell-to-cell spread of virus or in anterograde transport along axons. Further studies are needed to understand how HSV-1 manipulates and traverses the actin cytoskeleton and how gE may contribute to these processes in a WIRS-independent manner.
Theoretical studies on the single proton transfer process in adenine base

The effect of metal ions (Mn+ = Na+, K+, Mg2+, Ca2+, Zn2+ and hydrated Mg2+ ions) and water molecules on the tautomerism of adenine induced by single intramolecular proton transfer (SPT) have been investigated theoretically. Calculated results show that the single proton transfer process in adenine base is favored and even becomes thermodynamically spontaneous because of the presence of Mn+ interacting at the N3 position of adenine. On the contrary, if Mn+ coordinated to N7 site, the single proton transfer process will become unfavorable than that in the neutral system. The effects of metal ions on the SPT of adenine base are more pronounced if Lewis acidity of metal ion is increased. Water plays a more important role than metal ions during the SPT process. It is found that water can act not only as a solvent but also as a mediator which gives and accepts protons to promote SPT, playing a bridge role. As a result, inclusion of a water molecule drastically reduces the energy barrier for the SPT. Moreover, two water molecules can yield larger assisting effect on the SPTs compared with one water molecule. We can conclude that the tautomerism of DNA adenine base can be modulated by the metal ions and water molecules. Copyright © 2015 John Wiley & Sons, Ltd.
Assessing Animal Welfare with Behavior: Onward with Caution

An emphasis on ensuring animal welfare is growing in zoo and aquarium associations around the globe. This has led to a focus on measures of welfare outcomes for individual animals. Observations and interpretations of behavior are the most widely used outcome-based measures of animal welfare. They commonly serve as a diagnostic tool from which practitioners make animal welfare decisions and suggest treatments, yet errors in data collection and interpretation can lead to the potential for misdiagnosis. We describe the perils of incorrect welfare diagnoses and common mistakes in applying behavior-based tools. The missteps that can be made in behavioral assessment include mismatches between definitions of animal welfare and collected data, lack of alternative explanations, faulty logic, behavior interpreted out of context, murky assumptions, lack of behavior definitions, and poor justification for assigning a welfare value to a specific behavior. Misdiagnosing the welfare state of an animal has negative consequences. These include continued poor welfare states, inappropriate use of resources, lack of understanding of welfare mechanisms and the perpetuation of the previously mentioned faulty logic throughout the wider scientific community. We provide recommendations for assessing behavior-based welfare tools, and guidance for those developing tools and interpreting data.
Construction of vibration monitoring system based on Wireless Sensor Network (WSN) for machining process

At present, the wired vibration sensor monitoring system for rotating machinery has been successfully implemented in the modern industry. Regardless of its advantages such as real-time transmission and the fast response, the complex configuration can cause a problem such as tucked cables and higher cost as it is employed in large equipment. Therefore, in this current study, the vibration monitoring system based on Wireless Sensor Network (WSN) is developed. The new monitoring system proposed in this study involves the utilization of the Xbee module, Raspberry Pi, Arduino UNO, and Grove vibration sensor. Three parameters which are the indoor range, cost optimization, and the capability to connect to the internet are the main considerations to build the system. In order to validate the proposed vibration monitoring system based on WSN, milling experiment was conducted. From the vibration sensor being installed in the milling machine, it can be observed that the system is adequate to accomplish vibration data through wireless connection with the distance about 3 meters. By real time investigation of the vibration data, the system able to recognize any error in the milling process. Therefore, the system capable to prevent failure in the machining process specifically in the milling process.
An Efficient Short-Term Electricity Forecasting Approach Based on EEMD-LSTM Model with Feature Factors

The forecasting of electricity consumption data plays an important role in the operation, planning, and security of the power grid. However, electricity data is affected by multiple factors and large fluctuations, which makes it difficult to accurately forecast. Traditionally, ARIMA and SVM are widely used for electricity forecasting based on historical consumption data. However, for non-stationary multi-feature data, traditional schemes cannot achieve deep feature mining of them, and the forecast results are inaccurate. To address this problem, this paper proposes an efficient short-term electricity forecasting approach based on EEMD-LSTM model. Firstly, we perform Savitzky-golay (SG) smoothing on the original data, and then introduce feature factors to the feature analysis. In particular, the proposed approach can reduce the random noise in data, as well as reduce the impact of data fluctuations, and effectively learn the long-term characteristics of the data. The simulation results show that, compared with ARIMA, LSTM, EMD-SVM, EMD-LSTM, the proposed approach can achieve better accuracy in the electricity forecasting.
Determination of Some Heavy Metals in Eye Shadows Cosmetics

Most of the cosmetic products used by both male and female community has been shown to contain various types of heavy metals in different proportions [1]. Eye shadows are usually available as compressed powders, anhydrous creams, emulsions, sticks, and pencils and are frequently used by women of all ages. Compressed powder type of eye shadows are the most used ones and are usually applied to the eyelid by lightly stroking a soft sponge tipped applicator across the skin. Its main ingredients are talc with pigments [2,3]. Eye shadows contain particles of heavy metals such as Cd, Co, Cr, Ni, As, Hg and Pb as impurities in the pigments added during the manufacturing process or released by the metallic devices used during the manufacturing of cosmetics. Both kohl and surma have been identified as a major source of Pb exposure to the ocular system in adults and children [4-6]. Heavy metals like arsenic, cadmium, lead and mercury have been described as highly toxic and carcinogens, exhibiting wide-ranging toxic effects on many bodily systems, including Determination of Some Heavy Metals in Eye Shadows Cosmetics
Walking off the beaten path: everyday walking environment and practices in informal settlements in Freetown

Walking is the dominant mode of transport in informal settlements across the Global South. This is especially true in African cities where structural deficits, morphological challenges and ineffective urban development constrains sustainable transport planning and delivery for low-income areas. Despite emerging scholarship on walking in Africa, the literature pays little attention to the walking environment's everyday realities. This paper aims to address this gap by presenting an exploratory study that examines the walking environment and everyday walking practices in an informal settlement in Freetown, Sierra Leone, using a web-based mapping and qualitative questionnaire. The results show that walking remains the dominant means of mobility in the informal settlement, mainly due to the challenging topography and poor infrastructure. To improve the walking experience and mitigate risks, residents have resorted to improvisations such as self-constructed routes, self-provided street lights or benches for rest stops. Our results show that local improvisations influence residents' positive experiences of walking. The paper highlights the need for collaborative and participatory local interventions built on everyday walking practices to support the co-production of methodologies for understanding and improving local walking experiences. Through a context-specific understanding of the everyday walking environment, the research provides avenues for urban transport and development planners to work with local actors to improve accessibility in informal urban neighbourhoods facing acute structural deficits for urban mobility and access to essential everyday services.
Electrochemically Decorated Iridium Electrodes with WS3−x Toward Improved Oxygen Evolution Electrocatalyst Stability in Acidic Electrolytes

Iridium‐based oxides, currently the state‐of‐the‐art oxygen evolution reaction (OER) electrocatalysts in acidic electrolytes, are cost‐intensive materials which undergo significant corrosion under long‐term OER operation. Thus, numerous researchers have devoted their efforts to mitigate iridium corrosion by decoration with corrosion‐resistant metal oxides and/or supports to maximize OER catalyst durability whilst retaining high activity. Herein a one‐step, facile electrochemical route to obtain improved IrOx thin film OER stability in acid by decorating with amorphous tungsten sulphide (WS3−x) upon electrochemical decomposition of a [WS4]2− aqueous precursor is proposed. The rationale behind applying such WS3−x decoration stems from the generation of a tungsten oxide phase, a well‐known corrosion‐resistant photoactive OER catalyst. The study demonstrates the viability of the proposed WS3−x decoration, allowing the tailoring of experimental parameters responsible for WS3−x nanoparticle size and surface coverage. OER stability tests coupled by ex situ SEM and XPS corroborate the beneficial effect of WS3−x decoration, yielding improved OER specific activity metrics along with minimized Ir surface roughening, a characteristic of electrodissolution. Iridium decoration with electrodeposited, corrosion‐resistant oxides is consequently shown to be a promising route to maximize OER stabilities.
Design of all-optical OR/NAND logic gate using plasmonic metal-insulator-metal waveguide

Recently, optical waveguides designed by utilizing metal-insulator-metal (MIM) are widely used because of its excellent ability to limit surface plasmons to a deep sub-wavelength scale. In this paper, combined design of OR and universal NAND logic gates is proposed using the switching property of non-linear effect of plasmonic-MIM waveguide-based Mach–Zehnder interferometer. The footprint of proposed Feynman logic gate is 42μm*9μm, extinction ratio is 9.03dB for NAND gate and 11.25dB for OR gate. An insertion loss of -0.705dB for NAND gate and -0.655 dB for OR which is much better as compared to electro-optic based structures.The simulation is done using a finite-difference time-domain (FDTD) method and mathematical modeling of the device that has been verified by using MATLAB.
An efficient procedure to predict the dynamic loads for piston liner systems in marine engines

The piston ring-cylinder liner (PRCL) is one of the most important parts of marine diesel engines and contributes 25% to 50% of total friction loss. The lubrication simulation analysis of the PRCL system is a challenging task. Complete understanding and precise prediction of lubrication loads is a key to understanding the friction behavior of PRCL systems as the accuracy of the friction prediction depends upon precise prediction of lubrication loads. Therefore, this paper focuses on the gas pressure calculation which is the primary source of lubrication loads. The procedure presented combines the advantages of two mainstream methods to predict loads in the PRCL system. The result is a significant reduction in the computation time without compromising on accuracy. Firstly, a comparison of both approaches is presented which suggests that each technique has its limitations (one is time-bound, and one is accuracy-bound). Then, the results from both calculation methods are verified against literature and a parametric study is performed to identify the key structural parameters of PRCL system that affect the calculation efficiency. Finally, a correlation coefficient is introduced into the analysis to combine the two approaches which then identifies the conditions under which the use of the faster method becomes invalid and replaces it with the more accurate approach. This ensures optimum performance of the calculation procedure by switching between the fast and the accurate method depending upon the accuracy requirement under given conditions, thereby, simplifying the dynamic and lubrication model of PRCL systems. The study has direct implications for the tribological design of the PRCL interface.
Sustainable Tourism Cities: Linking Idol Attachment to Sense of Place

With the development of the “Hallyu” (Korean Wave) and people’s deep understanding of South Korea, the phenomenon of “Hallyu” idols driving tourism has become very common. Tourists, especially fans are no longer satisfied with the traditional tourist attractions with special symbolic meanings when visiting South Korea, but instead focus on common places associated with idols. For example, restaurants, cafes, bookstores, parks and convenience stores that have appeared in an idol’s social network accounts. With the application of the theory of attachment and sense of place in the tourism field, this study will start from the celebrity attachment, to exploring the specific processes and mechanisms by which idols affect the behavioral intentions of the fans. The associations between visitors and idol-related places based on celebrity attachments has also become possible, and the fans/tourists’ opinions and attitudes toward idol-related places will also change due to this emotional attachment. Relevant data were collected in the form of online questionnaires, and 440 valid responses were finalized for data analysis. Through data analysis, all the hypotheses proposed in this paper are supported, and there are significant relationships and positive influences among the variables. Data analysis results show that idol attachment can positively influence the four cognitive dimensions of sense of place (place identity, place dependence, social bonding and atmosphere). The various dimensions of sense of place can promote the generation of place attachment.
Non‐Gaussian Parameter Inference for Hydrogeological Models Using Stein Variational Gradient Descent

The sustainable management of groundwater demands a faithful characterization of the subsurface. This, in turn, requires information which is generally not readily available. To bridge the gap between data need and availability, numerical models are often used to synthesize plausible scenarios not only from direct information but also from additional, indirect data. Unfortunately, the resulting system characterizations will rarely be unique. This poses a challenge for practical parameter inference: computational limitations often force modelers to resort to methods based on questionable assumptions of Gaussianity, which do not reproduce important facets of ambiguity such as Pareto fronts or multimodality. In search of a remedy, an alternative could be found in Stein Variational Gradient Descent (SVGD), a recent development in the field of statistics. This ensemble‐based method iteratively transforms a set of arbitrary particles into samples of a potentially non‐Gaussian posterior, provided the latter is sufficiently smooth. A prerequisite for this method is knowledge of the Jacobian, which is usually exceptionally expensive to evaluate. To address this issue, we propose an ensemble‐based, localized approximation of the Jacobian. We demonstrate the performance of the resulting algorithm in two cases: a simple, bimodal synthetic scenario, and a complex numerical model based on a real world, prealpine catchment. Promising results in both cases—even when the ensemble size is smaller than the number of parameters—suggest that SVGD can be a valuable addition to hydrogeological parameter inference.