Miracle-dz/UniFAR-FTUs huggingface dataset:
TF-IDF Based Contextual Post-Filtering Recommendation Algorithm in Complex Interactive Situations of Online to Offline: An Empirical Study

O2O accelerates the integration of online and offline, promotes the upgrading of industrial structure and consumption pattern, meanwhile brings the information overload problem. This paper develops a post-context filtering recommendation algorithm based on TF-IDF, which improves the existing algorithms. Combined with contextual association probability and contextual universal importance, a contextual preference prediction model was constructed to adjust the initial score of the traditional recommendation combined with item category preference to generate the final result. The example of the catering industry shows that the proposed algorithm is more effective than the improved algorithm.
The Construction of the Quality Evaluation System of China's Agricultural Economic Growth

in the Context of the Continuous Improvement of China's Agricultural Economy, It is Necessary to Clarify the Quality of Its Growth, So as to Ensure the Stable Development of Agriculture. and There Needs to Be a Corresponding Measurement Standard. through the Method of Constructing Quality Evaluation System, We Can Study and Evaluate from Multiple Perspectives of Agricultural Growth, and Finally Get a Set of Completed Evaluation System, Which Provides the Corresponding Reference for Agricultural Economic Growth. This Paper First Expounds the Theoretical Content of the Quality of Economic Growth, Then Explains the Significance of the Quality of Agricultural Economic Growth, and Finally Explains the Evaluation Method of the Quality of Agricultural Economic Growth.
PRBM_A_227021 1121..1126

Ivan Cherrez-Ojeda 1,2 Emanuel Vanegas 1,2 Miguel Felix 1,2 Sofia Cherrez 2,3 Delia Suárez-Almendariz Johana Ponton Vladimir Preciado Edgar Ollague-Cordova Enrique Loayza 1Universidad Espíritu Santo, Samborondón, Ecuador; 2Respiralab Research Group, Guayaquil, Ecuador; 3School of Medicine, University of Heidelberg, Heidelberg, Germany; 4Departamento de Dermatología, Honorable Cuerpo Consular de Damas, Durán, Ecuador; 5Departamento de Dermatología, Hospital Luis Vernaza, Guayaquil, Ecuador; 6Área de Fototerapia, Hospital Luis Vernaza, Guayaquil, Ecuador; 7Clínica Dermatológica Ollague, Guayaquil, Ecuador Objective: We designed this study to determine the frequency of alexithymia in Ecuadorian patients with psoriasis, as well as possible associations between demographic factors, disease severity, and treatment adherence. Methods: A cross-sectional study involving 99 Ecuadorian patients with psoriasis was conducted. Multinomial logistic regressions were performed to ascertain whether age, gender, educational level, years with disease, psoriasis area and severity index (PASI) scores, and treatment adherence categories are prediction factors in patients with psoriasis to present alexithymia, possible alexithymia or no alexithymia. Results: A total of 99 patients participated in the study with a gender distribution of 57.6% male, and an average age and years with disease of 48.3 and 7.4, respectively. Out of all patients, 33.3% presented alexithymia, and 22.2% possible alexithymia, as assessed by the Toronto Alexithymia Scale (TAS-20). The multiple regression model statistically significantly predicted the TAS-20 score from age, gender, educational level, years with psoriasis, PASI score and level of adherence F (7,88) = 4.171, p = 0.001, adj. R2= 0.189. Only having the highest educational level added statistical significance to the prediction of having a lower TAS-20 score, whilst the remainder variables did not. Conclusion: We found a similar proportion of alexithymia, as well of average TAS-20 scores among Ecuadorian patients with psoriasis in comparison to previous studies. Only having the highest educational level was found to decrease the TAS-20 score. Age, gender, years with psoriasis, PASI score and level of adherence were not identified as factors that influence the TAS-20 score.
STRUCTURAL CHARACTERIZATION OF THE LIGNIN OF COCONUT (COCOS NUCIFERA) COIR

The chemical structure of the lignin isolated from coconut coir has been comprehensively characterized in this work by analytical pyrolysis (Py-GC/MS), two-dimensional nuclear magnetic resonance (2D-NMR) and derivatization followed by reductive cleavage (DFRC). The analyses demonstrated that coconut coir lignin is a p-hydroxyphenyl-guaiacyl-syringyl (H-G-S) lignin, with a predominance of G-lignin units (S/G 0.24), and with a considerable amount of associated p-hydroxybenzoates (13%). 2D-NMR indicated that the main substructures present in this lignin include β–O–4 ́ alkyl-aryl ethers, followed by phenylcoumarans (β–5 ́) and resinols (β–β ́). In addition, 2D-NMR indicated that coconut coir lignin is partially acylated at the γ-carbon of the side-chain. DFRC results showed that acetates are one of the acylating group and preferentially acylate the γ-OH in syringyl rather than in guaiacyl units.
Testing for Seasonal Unit Roots

This paper examines, both theoretically and through Monte Carlo analysis, the implications of applying the HEGY seasonal root tests to a process that is periodically integrated. As an important special case, the random walk process is also considered. It is established that, when the regression is not augmented, the asymptotic distribution of the zero frequency test statistic is shifted to the right in the periodic integration case, but not for the random walk. In practice, however, the HEGY zero frequency statistic performs quite well in terms of capturing the single unit root of the periodic process, but there may be a high probability of incorrectly concluding that the process is periodically integrated.
A Human-Centered Agenda for Intelligible Machine Learning

To build machine learning systems that are reliable, trustworthy, and fair, we must be able to provide relevant stakeholders with an understanding of how these systems work. Yet what makes a system “intelligible” is difficult to pin down. Intelligibility is a fundamentally human-centered concept that lacks a one-size-fits-all solution. Although many intelligibility techniques have been proposed in the machine learning literature, there are many more open questions about how best to provide stakeholders with the information they need to achieve their desired goals. In this chapter, we begin with an overview of the intelligible machine learning landscape and give several examples of the diverse ways in which needs for intelligibility can arise. We provide an overview of the techniques for achieving intelligibility that have been proposed in the machine learning literature. We discuss the importance of taking a human-centered strategy when designing intelligibility techniques or when verifying that these techniques achieve their intended goals. We also argue that the notion of intelligibility should be expanded beyond machine learning models to other components of machine learning systems, such as datasets and performance metrics. Finally, we emphasize the necessity of tight integration between the machine learning and human–computer interaction communities.
Correlates of Prison Incarceration among Homeless Gay and Bisexual Stimulant-Using Young Adults

Gay and bisexual (G/B) homeless adults face multiple challenges in life which may place them at high risk for incarceration. Yet, little is known about this understudied population in terms of risk for incarceration. Baseline data collected from a longitudinal study between October 2009 to March 2012 in Hollywood, California explored correlates of self-reported incarceration among G/B homeless stimulant-using adults (N=353). Findings revealed older age, less education, having children, as well as a history of injection drug use (IDU) and being born in the United States (U.S.) were positively associated with incarceration. Moreover, having poor social support and having received hepatitis information were also correlated with a history of incarceration. Our findings help us gain a greater awareness of homeless G/B adults who may be at greater risk for incarceration, which may be used by health care providers to design targeted interventions for this underserved population.
Thermodynamic Investigation and Optimization of a Power Generation System based Solid Oxide Fuel Cell using Taguchi Approach

Fuel cells directly convert chemical energy into electrical power using electrochemical reactions. Solid oxide fuel cell (SOFC) is one of the high-temperature fuel cells that propose a promising future from the standpoint of power generation. In this study, optimization of an SOFC system is performed using Taguchi approach after verification of the model in compare with experimental results. Current density, inlet temperature of SOFC, and utilization factor are considered as input parameters and the electrical power is selected as the output response. The analysis of variance (ANOVA) results indicate that the current density is the most effective parameter on electrical power which has 52% of contribution followed by inlet temperature of SOFC and utilization factor by 25 and 20% of contributions, respectively. The electrical power enhances by increasing current density and inlet temperature of SOFC and reducing utilization factor. Signal to noise ratio (S/N) analysis elucidate that the current density of 9500 A/m2, the inlet temperature of SOFC of 850 °C, and the utilization factor of 75% is the optimum condition in order to achieve the highest electrical power. The results show that the electrical power is 644.3 kW at the optimum condition.
VHRM_A_211498 559..569

Obiageli Uzoamaka Onyemelukwe 1 Albert Imhoagene Oyati Solomon Sulei Danbauchi 2 Austine Obasohan 3 1Department of Medicine, Ahmadu Bello University Teaching Hospital, Zaria, Nigeria; 2Department of Medicine, Jos University Teaching Hospital, Jos-Plateau State, Nigeria; 3Department of Medicine, University of Benin Teaching Hospital, Benin, Edo State, Nigeria Background: The study aimed at determining the response of BNP and tissue Doppler (TD) E/e ́ to standard heart failure (HF) therapy in an African black population as data on these are lacking in Africa. BNP assessment in relation to HF severity and its association with its predictors were also determined. Methods: It was a longitudinal-analytical study with a one month follow-up among 100 HF patients seen at Ahmadu Bello University Teaching Hospital, Zaria-Nigeria. Two-way Repeated Measures ANOVA determined BNP levels before and after treatment according to the HF severity. Wilcoxon-Signed Ranks test determined the difference in BNP and TD E/e ́ before and after treatment. Pearson’s correlation assessed log-transformed BNP’s association with its predictors. Results: BNP significantly (p<0.001) rose with increasing severity of HF from 386.6 ± 186.5 pg/mL to 581.7 ± 299.0 pg/mL to 805.0 ± 484.0 pg/mL in the NYHA II-IV HF, respectively, with consequent fall in a similar fashion following treatment. The Median (IQR) BNP levels reduced significantly (p<0.001) from 450 (362.5, 712.5) to 275.0 (225, 375.2) pg/mL with a 38.9% reduction over 4 weeks associated with significant improvement in TD E/e ́, structural and functional parameters. Ln10BNP was significantly (p<0.001) positively correlated to TD E/e ́ before (r=0.51) and after treatment (r=0.43). Likewise, Ln10BNP was significantly (p<0.05) negatively correlated to ejection fraction & fractional shortening before and after treatment. Conclusion: BNP and tissue Doppler can serve as useful tools in the assessment of the effectiveness of African HF treatment and functional capacity over 4 weeks. TD E/e ́ may be a reliable non-invasive estimate of left ventricular filling pressures and diastolic dysfunction.
High salinity tolerant consortia able to growth under a very recalcitrant substrate

The microbial degradation of plant-derived compounds under salinity stress remains largely underexplored. The pretreatment of lignocellulose material, which is often needed to improve the production of lignocellulose monomers, leads to high salt levels, generating a saline environment that raises technical considerations that influence subsequent downstream processes. Here, we constructed halotolerant lignocellulose degrading microbial consortia by enriching a salt marsh soil microbiome on a recalcitrant carbon and energy source, i.e., wheat straw. The consortia were obtained after six cycles of growth on fresh substrate (adaptation phase), which was followed by four cycles on predigested (highly-recalcitrant) substrate (stabilization phase). The data indicated that typical salt-tolerant bacteria made up a large part of the selected consortia. These were “trained” to progressively perform better on fresh substrate, but a shift was observed when highly recalcitrant substrate was used. The most dominant bacteria in the consortia were Joostella marina, Flavobacterium beibuense, Algoriphagus ratkowskyi, Pseudomonas putida and Halomonas meridiana. Interestingly, fungi were sparsely presented and negatively affected by the change in the substrate composition. Sarocladium strictum was the single fungal strain recovered at the end of the adaptation phase, whereas it was deselected by the presence of recalcitrant substrate. Consortia selected in the latter substrate presented higher cellulose and lignin degradation than consortia selected on fresh substrate, indicating a specialization in transforming the recalcitrant regions of the substrate. Moreover, our results indicate that bacteria have a prime role in the degradation of recalcitrant lignocellulose under saline conditions, as compared to fungi. The final consortia constitute an interesting source of lignocellulolytic haloenzymes that can be used to increase the efficiency of the degradation process, while decreasing the associated costs.
MODELS AND PATTERNS OF ORGANISATIONAL DEVELOPMENT FOR MANUFACTURING SMEs

Now facing global competition and increasing demands from major customers and prime contractors, many manufacturing SMEs feel growing pressure to develop their organisation and become world-class enterprises. An empirical study of 201 Canadian manufacturing SMEs was designed to answer the following research questions: What is the relationship between levels of network development, market development and product development? What is the impact of the entrepreneur on the level of organisational development? And what is the impact of organisational development on enterprise performance?
Roughest hour – approaches to ship hull fouling management

Submerged surfaces at sea are colonized by a high diversity of sessile (i.e. attached) life forms. As the merchant fleet capacity increases, responding to growth in demand for seaborne transport, so does the hull wetted surface area that is prone to colonization by these sessile organisms, i.e. marine biofouling. Such colonization leads to increased ship hull surface roughness, which results in both environmental and economic issues, namely fuel penalties and increased emissions to air. Improved maintenance of the hull would not only reduce these penalties, but also reduce emission of antifoulants and other paint components to the marine environment, as well as risks related to the transport of non-indigenous species on fouled hulls. The work presented in this thesis aimed at improving current approaches to the management of ship hull fouling, which typically rely on a combination of fouling-control coatings and an in-water cleaning scheme. Knowledge on the adhesive strength of fouling to minimize cleaning forces, on the one hand, and evaluation of the hull condition and hull roughness penalties, on the other hand, are therefore central to the aim of this thesis. The outcome of performed work supports a preventive approach to hull maintenance, e.g. gentle and frequent cleanings (hull grooming), or an alternative predictive approach, based on vessel performance and condition monitoring for detecting early forms of fouling. Tools are provided with potential to improve hull maintenance practices. These include minimizing cleaning forces applied during in-water hull cleaning through knowledge on adhesion strength of fouling (Papers I, III and IV), and more-accurate determination of the impact of fouling on vessel performance, namely by accounting for hull form effects (Papers II) or using a novel performance indicator that would be applicable in wider comparisons between vessels (Paper V). Seen as a whole, results indicate that the goal of minimizing the environmental and economic risks involved in hull fouling management can only be achieved through continued collaboration between different industry stakeholders, researchers, technology developers, authorities and policymakers, leading to an optimal path in development.
Characterization of Breast Meat Collected from Spent Lohmann Brown Layers in Comparison to Commercial Ross Broilers

The objective of this study was to compare characteristics and properties of breast meat from spent Lohmann Brown layers (SP, 90 weeks old, n = 24) and those of commercial broilers (BR, 6 weeks old, n = 24). The breasts of both SP and BR were collected from a local processing plant, vacuum-packed in a plastic bag, and stored at -18oC until further analyses. The SP showed a greater water-holding capacity, tougher and chewier texture (p<0.05). Both raw and cooked SP breasts comprised the greater total collagen but lower soluble collagen than those of BR (p<0.05). Muscle fibers of the SP, observed under scanning electron microscope, were small, with average fiber diameter of 37.85±1.40 μm, densely packed and surrounded by complex networks of connective tissue. The lower myofibril fragmentation index and alkaline-soluble protein fractions of the SP (p<0.05) suggested lesser degree of postmortem fragmentation and protein denaturation in SP compared to BR. Based on differential scanning calorimetry, multiple endothermic transitions were observed in both raw BR and SP breast samples. While BR thermograms comprise five transitions at 57.7oC, 64.2oC, 67.6oC, 72.3oC and 77.6oC with total ΔH of 15.31 J/g dry meat, the SP samples exhibited four transitions at 55.1oC, 62.1oC, 70.5oC and 77.7oC and total ΔH of 17.62 J/g dry meat. Overall, the findings indicated that cooked meat toughness of SP was attributed by the high total and heat-stable collagen content, densely packing of small muscle fibers, and the superior myofibril integrity.
Antioxidant Activity of Decoction and Infusion of Teucrium chamaedrys subsp. chamaedrys Grown in Turkey

Bu calismada, Teucrium chamaedrys subsp. chamaedrys turunun toprak ustu kisimlarinin demleme ve kaynatma orneklerinin antioksidan aktivitesi calisilmistir. Antioksidan aktivite analizinde, 2,2-difenil-1-pikrilhidrazil (DPPH) radikal giderme aktivitesi, β-karoten linoleik asit ve kuprik (Cu+2) iyonu indirgeme antioksidan kapasite (CUPRAC) yontemleri kullanilmistir. 100 µg/mL konsatrasyonda, DPPH radikal supurucu kapasite yontemi sonuclarina gore, sentetik antioksidanlara (%81.1, BHA ve %78.8, BHT) kiyasla, demleme ve kaynatma orneklerinin (%86.5 ve %84.1, sirasiyla), daha yuksek antioksidan aktivite gosterdigi belirlenmistir. Elde edilen bu sonuclar, T. chamaedrys subsp. chamaedrys turunun cay orneklerinin dogal antioksidan kaynagi olarak kullanilabilecegini gostermektedir.
The gender gap in math performance, self-concept, and anxiety: rural and urban China in an international context

Evidence from developed countries shows that there is a significant gender gap in STEM occupations. Girls may begin to underperform in math early as primary school. One possible explanation is the negative stereotype threat towards girls. However, this has been understudied in rural China. In this paper, we describe the math performance gender gap in rural China, compare the gender gap between rural and urban China, and finally compare the Chinese situation with other countries. We further examine possible explanations for the gender gap from comparative perspectives. Using first hand datasets of 3,789 primary students and 12,702 junior high students in China, combing with OECD 2012 PISA survey data, we find that in both rural and urban China, boys outperform girls in math. As students grow older, the gap widens, which is larger than in many other countries. We further find that both the gender gaps in math self-concept and math anxiety and discriminatory family investment towards girls are not sufficient to explain the wide math performance gaps. Our study suggests the inequality of education in rural China still merits concern and calls for further work to explain the observed gender gap in math performance.
Optimization of topological complexity for 1D arterial blood ﬂow models

As computational models of the cardiovascular system are applied in modern personalized medicine, maximizing certainty of model input be-comes crucial. A model with a high number of arterial segments results in a more realistic description of the system, but also requires a high number of parameters with associated uncertainties. In this paper we present a method to optimize/reduce the number of arterial segments included in 1D blood ﬂow models, while preserving key features of ﬂow and pressure waveforms. We quantify the preservation of key ﬂow features for the optimal network with respect to the baseline networks (a 96-artery and a patient speciﬁc coronary network) by various metrics and quantities like average relative error, pulse pressure and augmentation pressure. Furthermore, various physiological and pathological states are considered. For the aortic root and larger systemic artery pressure waveforms a network with minimal description of lower and upper limb arteries and no cerebral arteries, suﬃciently captures important features such as pressure augmentation and pulse pressure. Discrepancies in carotid and middle cerebral artery ﬂow waveforms that are introduced by describing the arterial system in a minimalistic manner are small compared with errors related to uncertainties in blood ﬂow measurements obtained by ultrasound.
New Integrable System of 2dim Fermions from Strings on AdS5 × S

We consider classical superstrings propagating on AdS5 × S spacetime. We consistently truncate the superstring equations of motion to the so-called su(1|1) sector. By fixing the uniform gauge we show that physical excitations in this sector are described by two complex fermionic degrees of freedom and we obtain the corresponding Lagrangian. Remarkably, this Lagrangian can be cast in a twodimensional Lorentz-invariant form. The kinetic part of the Lagrangian induces a non-trivial Poisson structure while the Hamiltonian is just the one of the massive Dirac fermion. We find a change of variables which brings the Poisson structure to the canonical form but makes the Hamiltonian nontrivial. The Hamiltonian is derived as an exact function of two parameters: the total S angular momentum J and string tension λ; it is a polynomial in 1/J and in √ λ′ where λ′ = λ J2 is the effective BMN coupling. We identify the string states dual to the gauge theory operators from the closed su(1|1) sector of N = 4 SYM and show that the corresponding nearplane wave energy shift computed from our Hamiltonian perfectly agrees with that recently found in the literature. Finally we show that the Hamiltonian is integrable by explicitly constructing the corresponding Lax representation. e-mail: L.F. Alday@phys.uu. nl, G.Arutyunov@phys.uu. nl, frolovs@aei.mpg. de Also at Steklov Mathematical Institute, Moscow Also at SUNYIT, Utica, USA, and Steklov Mathematical Institute, Moscow