Miracle-dz/UniFAR-FTUs huggingface dataset:
Productive Characterization of Dairy Farms in the Central-Westerm Province of Chaco - Argentina

It is possible to produce efficiently in areas that are considered inadequate, as long as all the technologies are not transferred from the temperate zones in which the most important dairy basins of the country are located. The objective of the work was to identify and productively characterize the dairy farms in the center-west of the province of Chaco - Argentina. 11 dairy farms were identified and visits were made between September 2021 and April 2022 located in the center-west of the province of Chaco. The results show that the median and age ranges of the owners surveyed was 47 (36-67) years old, the area used for milk production was 50 (20-275) hectares, of which 78% is natural forest and 22% are dedicated to the production of cultivated pastures. The median and ranges of the milking cows were 9 (2-20) cows and 12 (3-15) dry cows, total milk production per day: in warm months 30 (14-300) liters and in cold months 30 (6-300) liters, the duration of lactation 200 (150-270) days. Dairy farms in the center-west of the Chaco province were identified and characterized, showing that there is dairy production in the region and that this forces the need to generate attention policies for them.
The effects of pressure, temperature, and depth/diameter ratio on the microvia filling performance of Ag-coated Cu micro-nanoparticles for advanced electronic packaging

ABSTRACT Conductive fillers made from metal nanoparticles offer many advantages for the fabrication of a variety of electronic devices, but when they have a porous structure, their poor conductivity limits their adoption in many applications. In this study, an Ag-coated Cu micro-nanoparticle paste is used to achieve compact filling of blind vias on flexible copper clad polyimide laminates through a multistep filling and sintering technique. The filled blind vias achieve a resistivity as low as 6.2 μΩ·cm, which is comparable that of electroplated blind vias. Higher sintering pressure and temperature promote the filling performance, while the conductivity deteriorates at a via depth/diameter ratio greater than 1:1. Finite element simulations reveal a stress inhomogeneity in vias with large depth/diameter ratios, which is the key to understanding the evolution of the conductive properties of a paste-filled via. This study provides an effective method for high-performance microvia filling as well as insights into the mechanism that influences its performance. Graphical abstract
Invariants of links of Conway type

The purpose of this paper is to present a certain combinatorial method of constructing invariants of isotopy classes of oriented tame links. This arises as a generalization of the known polynomial invariants of Conway and Jones. These invariants have one striking common feature. If L+, L- and L0 are diagrams of oriented links which are identical, except near one crossing point (as in Conway or Jones polynomials), then an invariant w(L) has the property: w(L+) is uniquely determined by w(L-) and w(L0), and also w(L-) is uniquely determined by w(L+) and w(L0). To formalize this property we introduce a concept of a Conway algebra and quasi Conway algebra. The paper is now almost 32 years old and it contains the PT contribution to HOMFLYPT polynomial. We believe it should be available in arXiv.
Cognitive image, affective image, cultural dimensions, and conative image: A new conceptual framework

Destination image is essential to tourists' loyalty and has been discussed in length among researchers and marketers in the tourism industry for decades. Based on a literature review, the destination image model, including cognitive image, affective image, and conative image, has been firmly established as an acceptable means to gain an understanding of tourists' behavior toward revisiting and recommendations. The understanding of the moderating role of cultural constructs is still unclear, especially in cross-cultural travel behavior. Therefore, this conceptual paper proposes an integrated model of cognitive-affective-conative image that includes the constructs of individualism and uncertainty avoidance. Based on the underpinning theories and empirical studies, this paper proposes affective image potentially mediates the correlation between cognitive image and conative image. This model also incorporated individualism and uncertainty as potential moderating effects between affective image and conative image. By integrating individualism and uncertainty avoidance into the theoretical model from the perspective of tourism, this paper contributes to a more comprehensive understanding of the influence of travel behavior on emerging tourism marketing.
Measurement of the top-antitop production cross-section with the ATLAS experiment at the LHC

The top quark, discovered at the Tevatron pp̄ collider in 1995, has been observed in pp collisions at the LHC by both the ATLAS and CMS experiments in 2010. The analysis developed by the candidate and presented in this thesis has been subject of the first publication of the ATLAS experiment on top quark physics: the measurement of the top-antitop (tt̄) total production cross-section. The analysis is here updated with the full 7 TeV pp collision data collected between August 2010 and August 2011. Final states containing one electron or muon, jets and missing energy are selected, requiring at least one of the jets to be tagged as coming from the hadronization of a b-quark. The cross-section is extracted using a counting method, for which an accurate background estimation is crucial. For this reason, the datadriven methods used to extract the main QCD and W+jets backgrounds are described and discussed. The results of the cross-section measurement using 2011 data are also used to derive an indirect measurement of the top quark mass. Analysing the data collected in 2010, corresponding to an integrated luminosity of 35 pb−1, a cross-section of: σtt̄ = 156 +36 −30 pb is extracted, while with the 2.05 fb−1 of data analysed in 2011 a cross-section of: σtt̄ = 164 +20 −17 pb is obtained. The latter result is used to extract the following top mass value: m top = 173.3 +6.3 −6.0 GeV/c . The cross-section results are in good agreement with the theoretical predictions and with the other measurements done in ATLAS and CMS. The top mass obtained from this cross-section measurement agrees with the world average value.
Developmental Perspectives on Social Inequalities and Human Rights

Social inequalities and human rights are inevitably linked to children’s and adolescents’ healthy development. Children who experience structural and interpersonal inequalities in access to resources and opportunities based on their gender, race, ethnicity, or other group categories are denied the right to fair treatment, which contributes to stress, anxiety, and depression. We assert that investigating the psychological perspectives that children hold regarding inequalities and human rights is necessary for creating fair and just societies. We take a constructivist approach to this topic which seeks to understand how individuals interpret and evaluate observed and experienced inequalities. Even young children think about these issues and act on their beliefs and experiences about human deveolopment. Throughout development, individuals weigh multiple, potentially conflicting considerations when interpreting, evaluating, and responding to social inequalities and rights violations. In these complex contexts, children and adolescents are neither fully “moral” nor fully “prejudiced. ” Rather, critical questions for research in this area concern when, why, and for whom young people reject inequalities and support rights, and, by contrast, when, why, and for whom they accept that inequalities and rights violations should be allowed to persist. This paper provides a brief overview of how different conceptions of social inequalities and rights are intrinsically linked together.
The Impact of Social Media Campaign on Green Coffee Image at Instagram @BLACKPASSION.ID

In recent years, the research on social media especially Instagram becomes gradually popular along with the upsurge of the developing number of users. This is an opportunity for companies to use social media as a campaign tool, specifically to build the image of a product through campaigns on social media. In this research, an evaluation of the impact of social media campaigns on the green coffee image is conducted on Instagram @blackpassion.id. In the study, researchers use a quantitative approach as a research methodology. There are two variables used in this study, the independent variable "the impact of social media campaign" (X), and the dependent variable "green coffee image" (Y). The studied population are followers of Instagram @blackpassion.id, 920 followers. In this study, researchers obtained a sample of 90 followers. Further the researchers use a simple linear regression analysis to analyze the data. The result shows that campaign messages delivered on Instagram @blackpassion.id can be well received by respondents. So that there is an impact of the campaign through social media. Abstrak Dalam beberapa tahun terakhir, penelitian tentang media sosial khususnya Instagram menjadi populer secara bertahap seiring dengan meningkatnya jumlah pengguna yang berkembang. Hal ini menjadi peluang bagi perusahaan untuk menggunakan media sosial sebagai alat kampanye, khususnya untuk membangun citra suatu produk melalui kampanye di media sosial. Dalam penelitian ini, evaluasi dampak kampanye media sosial terhadap citra kopi hijau dilakukan di Instagram @blackpassion.id. Dalam penelitian, peneliti menggunakan pendekatan kuantitatif sebagai metodologi penelitian. Ada dua variabel yang digunakan dalam penelitian ini, yaitu variabel bebas “dampak kampanye media sosial” (X), dan variabel terikat “citra kopi hijau” (Y). Populasi yang diteliti adalah followers Instagram @blackpassion.id sebanyak 920 followers. Dalam penelitian ini, peneliti memperoleh sampel sebanyak 90 follower. Selanjutnya peneliti menggunakan analisis regresi linier sederhana untuk menganalisis data. Hasil penelitian menunjukkan bahwa pesan kampanye yang disampaikan di Instagram @blackpassion.id dapat diterima dengan baik oleh responden. Sehingga ada dampak dari kampanye melalui media sosial.
A gradualist view of word meaning in language acquisition and language use

For both children and adults, communicating with each other effectively depends on having enough knowledge about particular entities, actions, or relations to understand and produce the words being used. Speakers draw on conventional meanings shared with their interlocutors, but do they share every detail of word meaning? They need not have identical, or fully specified, representations for the meanings of all the terms they make use of. Rather, they need only have represented enough about the meanings of the words used by another speaker to understand what is intended in context on a particular occasion. Reliance on partial meanings is common in both children and adults. More detailed, shared, representations of word meanings for a domain depend on acquiring additional knowledge about that domain and its contents.
Satisfaction with the Pedestrian Environment and Its Relationship to Neighborhood Satisfaction in Seoul, South Korea

This study investigated the relationship between the degree of satisfaction with the pedestrian environments in their neighborhoods and the degree of neighborhood satisfaction in Seoul, South Korea. This study employed proportional odds logistic regression and gradient boosting decision tree models, using the 2021 Seoul Urban Policy Indicator Survey. The key findings are as follows. First, there was a significant and positive relationship between the two factors. Second, respondents’ satisfaction levels with pedestrian environments showed higher feature importance than other factors. Third, the partial dependence plots show non-linear relationships; specifically, when respondents reported being satisfied or very satisfied with pedestrian environments, the partial dependence on the dependent variable increased significantly. This study contributes to (1) finding the association between the two factors, (2) offering insights into how to improve residents’ satisfaction with their neighborhood through pedestrian environment satisfaction, and (3) unfolding what active mobility means to people.
Levy Matrices and Financial Covariances

In a given market, financial covariances capture the intra-stock correlations and can be used to address statistically the bulk nature of the market as a complex system. We provide a statistical analysis of three SP500 covariances with evidence for raw tail distributions. We study the stability of these tails against reshuffling for the SP500 data and show that the covariance with the strongest tails is robust, with a spectral density in remarkable agreement with random Levy matrix theory. We study the inverse participation ratio for the three covariances. The strong localization observed at both ends of the spectral density is analogous to the localization exhibited in the random Levy matrix ensemble. We discuss two competitive mechanisms responsible for the occurrence of an extensive and delocalized eigenvalue at the edge of the spectrum: (a) the Levy character of the entries of the correlation matrix and (b) a sort of off-diagonal order induced by underlying inter-stock correlations. (b) can be destroyed by reshuffling, while (a) cannot. We show that the stocks with the largest scattering are the least susceptible to correlations, and likely candidates for the localized states. We introduce a simple model for price fluctuations which captures behavior of the SP500 covariances. It may be of importance for assets diversification.
The effect of coffee on contralateral suppression of transient evoked otoacoustic emissions

Background: Coffee is a popular non-alcoholic beverage consumed by humans across the world. It contains caffeine, which is a type of stimulant of the central nervous system. In the auditory system, it has a positive effect on auditory brainstem response and perception of speech in noise. Further, caffeine has an inhibitory effect in the cochlea, but studies have rarely investigated its effect on otoacoustic emissions (OAEs) in humans. OAEs are low-intensity sounds produced by the cochlea, which could be recorded in the ear canal. The present study was carried out to investigate the effect of coffee on transient evoked otoacoustic emission (TEOAE) and contralateral suppression of TEOAE. Method: A total of 52 young adults participated in the study. A cross-over study design was used for the present investigation. The TEOAE and contralateral suppression of TEOAE were recorded before and after consumption of coffee and milk. The contralateral suppression of TEOAE was measured by presenting white noise to the contralateral ear at 40, 50, and 60 dB sound pressure level (SPL). Results: The mean amplitude of TEOAE before and after consumption of coffee was similar in both ears. Further, the mean contralateral suppression of TEOAE was slightly larger after consumption of coffee in both ears. However, the mean difference was not significant in both the ears. Conclusions: Based on the findings of present study, coffee has no significant effect on the amplitude of TEOAE and contralateral suppression of TEOAE.
Influence of vortex dynamics and structure on turbulence statistics at large scales

The question whether the vortex dynamics and structure at small scales have significant influence on the statistics at large scales is addressed on the basis of quantitative comparison of two turbulent fields. One is a reference field generated by direct numerical simulation of turbulence of an incompressible fluid obeying the Navier-Stokes (NS) equation in a periodic box. The other is an artificial field in which the coherent vortical structures at small scales (∼η) that could be formed by the NS dynamics in the reference field are destroyed by an artificial computational operation, where η is the Kolmogorov micro-length scale. The comparison of the two fields suggests that the statistics at larger scale (≫η) are not sensitive to the exact vortex dynamics and structure, at least in the case studied here.
Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review

Mental health issues are a serious consequence of the COVID-19 pandemic, influencing about 700 million people worldwide. These physiological issues need to be consistently observed on the people through non-invasive devices such as smartphones, and fitness bands in order to remove the burden of having the conciseness of continuously being monitored. On the other hand, technological improvements have enhanced the abilities and roles of conventional mobile phones from simple communication to observations and improved accessibility in terms of size and price may reflect growing familiarity with the smartphone among a vast number of consumers. As a result of continuous monitoring, together with various embedded sensors in mobile phones, raw data can be converted into useful information about the actions and behaviors of the consumers. Thus, the aim of this comprehensive work concentrates on the literature work done so far in the prediction of mental health issues via passive monitoring data from smartphones. This study also explores the way users interact with such self-monitoring technologies and what challenges they might face. We searched several electronic databases (PubMed, IEEE Xplore, ACM Digital Libraries, Soups, APA PsycInfo, and Mendeley Data) for published studies that are relevant to focus on the topic and English language proficiency from January 2015 to December 2020. We identified 943 articles, of which 115 articles were eligible for this scoping review based on the predetermined inclusion and exclusion criteria carried out manually. These studies provided various works regarding smartphones for health monitoring such as Physical activity (26.0 percent; 30/115), Mental health analysis (27.8 percent; 32/115), Student specific monitoring (15.6 percent; 18/115) are the three analyses carried out predominantly.
Energy Harvesting for TDS-OFDM in NOMA-Based Underwater Communication Systems

Non-orthogonal multiple access (NOMA) is considered a promising multiple access technique for fifth generation (5G) mobile networks and tactical internet due to its high spectral efficiency. Thanks to the high spectral efficiency of NOMA, it can be a strong candidate suitable for the limited channel bandwidth of underwater acoustic communication. The NOMA transmitter is employing superposition coding (SC). The NOMA receiver is based on the successive interference cancellation (SIC) technique. The multicarrier NOMA adopts orthogonal frequency division multiplexing (OFDM) as a multicarrier modulation (MCM) technique; however, conventional cyclic prefix OFDM (CP-OFDM) and zero padding (ZP-OFDM) have inefficient spectral efficiency. Thanks to efficient synchronization and high energy-spectral efficiency of the time-division synchronization OFDM (TDS-OFDM), it is a significant attractive candidate for underwater multicarrier communication. However, wasting the power transmission of long guard intervals in the battery-based underwater communication is represented as one of the TDS-OFDM main drawbacks. Harvesting energy and improving the energy efficiency of acoustic-based TDS-OFDM-NOMA represent high achievement goal battery recharging challenges due to the ocean environment. This paper proposes time switching simultaneous wireless information and power transfer (TS-SWIPT) to harvest the energy of transmitted power over the guard interval in the TDS-OFDM-NOMA scheme. The proposed energy harvested scheme harvests the energy from the wasted power in the long guard interval and improves the energy efficiency of the TDS-OFDM multicarrier scheme. This study demonstrates the superiority of the proposed TDS-OFDM-NOMA over the underwater acoustic channel by revealing high energy efficiency, high spectral efficiency, better bit error rate performance, and high system data throughput.
Potential theory for hyperbolic SPDEs

We give general sufficient conditions which imply upper and lower bounds for the probability that a multiparameter process hits a given set E in terms of a capacity of E related to the process. This extends a result of Khoshnevisan and Shi [Ann. Probab. 27 (1999) 1135–1159], where estimates for the hitting probabilities of the (N,d) Brownian sheet in terms of the (d−2N) Newtonian capacity are obtained, and readily applies to a wide class of Gaussian processes. Using Malliavin calculus and, in particular, a result of Kohatsu-Higa [Probab. Theory Related Fields 126 (2003) 421–457], we apply these general results to the solution of a system of d nonlinear hyperbolic stochastic partial differential equations with two variables. We show that under standard hypotheses on the coefficients, the hitting probabilities of this solution are bounded above and below by constants times the (d−4) Newtonian capacity. As a consequence, we characterize polar sets for this process and prove that the Hausdorff dimension of its range is min (d,4) a.s.
New Biaxial Specimens and Experiments to Characterize Sheet Metal Anisotropy and Damage

: The damage and failure behavior of anisotropic ductile metals depends on the material direction and on the stress state. Consequently, these effects have to be taken into account in material modeling and the corresponding numerical simulation, and also have to be experimentally investigated in a controlled and well-reproducible manner. In this context, the present paper focused on new biaxial experiments with the anisotropic aluminum alloy EN AW-2017A. Experiments with the newly developed, biaxially loaded H-specimen were performed with a focus on shear and shear-compression stress states. The formation of strain ﬁelds in critical parts of the H-specimen was monitored by digital image correlation, and fracture surfaces were visualized by scanning electron microscopy. Stress states were predicted by corresponding numerical simulations and they facilitated the comprehension of the damage and fracture processes at the micro level. The experiments with shear-compression stress states were realized with a special down-holder to avoid buckling, which enabled a well-controlled study in this generally difﬁcult-to-access range. Furthermore, the anisotropic characterization of ductile sheet metals can be realized by an enhanced experimental program with a wide range of load ratios and loading directions.
GC-MS combined with multivariate analysis for the determination of the geographical origin of Elsholtzia rugulosa Hemsl. in Yunnan province

Elsholtzia rugulosa Hemsl. , a Chinese herbal medicine, may have the potential to treat COVID-19. The geographical origin has a significant influence on the quality and application of E. rugulosa. In this paper, gas chromatography-mass spectrometry (GC-MS) combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA) and other multivariate statistical analyses were performed for the identification of E. rugulosa. origins. The results showed that the volatile components of E. rugulosa. from different origins were significantly different. PCA and HCA can clearly distinguish the E. rugulosa of Lijiang and Fumin, and Dali and Yongsheng can be distinguished but with a certain overlap. The correlation of different components of was investigated by Pearson correlation. The results showed that E. rugulosa. characteristic component Elsholtzia ketone is regulated by terpenoid metabolism. The discriminant functions of different origins are constructed by Fisher stepwise discrimination, and its initial verification accuracy and leave-one-out cross-validation accuracy were 100% and 87.5%, respectively.