Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of the concept of quality in Hass avocado and the pre-harvest and harvest factors that determine it under tropical conditions

Avocado is one of the most desirable fruits worldwide because of its flavor and nutritional contributions. Currently, Colombia is a very dynamic country where the cultivated area and volumes of exported fruits have been increasing year after year. This situation poses a challenge for the country, which must produce fruits with excellent parameters of ripening, external and internal quality. This study used a series of elements associated with quality in avocado and its application in tropical conditions, which were determined based on reports from the world scientific literature reported in journals, books, manuals and conferences. In addition, information obtained from commercial esays on plantations and the experiences of packing and marketing companies in Colombia was used. The approach presented here is associated with a modern concept of quality in the food industry and how it can be applied to the avocado value chain; preharvest aspects that determine quality, management practices conducive to improving quality, and harvest parameters and their relationship with quality were also used. This study generated alternatives for increasing the added value in the avocado production system based on quality parameters and identified delays in the supply chain of this important agro-industry under tropical conditions.
Robust A ction Strategies in a Connected but Unequal World: Revisiting American Pragmatism for Social Justice focused Research in Information Systems

In this paper, we elucidate robust action as a research framework for the information systems (IS) field. We contend robust action provides a suitable frame to conduct pragmatist research in IS and can be useful in researching the multi-faceted terrain of social justice. The robust action frame has its roots in pragmatism, and, moreover, given the history of American pragmatism as rooted in social justice, robust action can provide a suitable frame to confront broad-scale issues on a societal scale—a topic that little IS research has examined. We define robust action‘s components, illustrate its philosophical rooting in the pragmatist tradition, and show how one can use it.
Lessons Learned Using a Virtual World to Support Collaborative Learning in the Classroom

Using technology in education is crucial to support learning, and Virtual Worlds (VWs) are one of the technologies used by many educators to support their teaching objectives. VWs enable students to connect, synchronously interact, and participate in immersive learning activities. Such VW has been developed at Sheffield Hallam University (UK), and is used to support the teaching of a specific module, as well as for conducting empirical research around the topics of Transactive Memory Systems (TMS) and Students Engagement. TMS is a phenomenon representing the collective awareness of a group's specialisation, coordination, and credibility with interesting results. This paper presents the lessons learned while using the VW over the past few years at a higher education institution to support collaborative learning within working groups. A review of these empirical findings is presented, together with the results of a follow up study conducted to further investigate TMS and student Engagement, as well as students perceived Motivation to use a VW for learning, and their Learning Outcomes. The findings of this study are corroborating and contributing to previous results, suggesting that a VW is an effective tool to support collaborative learning activities, allowing students to engage in the learning process, motivate them to participate in activities, and contribute to their overall learning experience.
Research on entity relationship extraction for diabetes medical literature

At present, the research on entity relationship extraction in Chinese medical literature has made great progress. Scholars have proposed a method of remotely supervised labeling to solve the problem of time-consuming manual labeling, but this method will bring a lot of noise. In order to solve the problem of introducing a lot of noise, we propose a neural network structure based on convolutional neural networks. This model can use multi-window convolutional neural network to automatically extract sentence features, and after obtaining the sentence vector, select the sentence that is effective for the true relationship through the attention mechanism. In particular, an entity type embedding method is proposed, which is used for relationship classification by adding entity category features. We conducted experiments using 968 diabetic medical literatures. Compared with the baseline model, our model achieved very good results in the medical literature.
Milk composition of Holstein cows: a retrospective study

ABSTRACT: Worldwide, milk analysis is an satisfactory measurement of milk quality on dairy farms. Milk composition is the base for payment systems, so knowledge of its characteristics at different periods is essential for modern dairy producer. The aim of the study was to evaluate the effects of year, season, stage of lactation, and lactation number on variations in milk yield and composition of Holstein cows (n=148,604). Milk yield estimated by multiple regression was 25,50L/cow/day. Winter was the season with the highest milk yield and the highest protein and lactose content. Milk fat was highest in the fall, in cows in late lactation and also in primiparous cows. Lactating cows from 6 to 60 days in lactation and those in 2nd or 3rd lactation showed the highest milk yield. Lactose concentration was positively correlated with milk yield. Somatic cell score was negatively correlated with milk yield and with lactose concentration. Most important variations in milk characteristics occur among seasons, lactation stages and parities. Mammary gland health is yet the greatest challenge to be overcome.
What is the Impact of Non-Randomness on Random Choice Models?

Problem definition. This paper examines the impact of non-randomness on random choice models, and then studies various operations problems under the new discrete choice models. Academic/Practical Relevance. The literature often assumes that the random utility components follow some i.i. d. distribution. This assumption may be too restrictive in some real-world scenarios, because for example some consumers may know well about attribute values for some product (which could also be the no-purchase option) that they have repeatedly purchased. Methodology. We adopt the random utility maximization framework, and characterize the choice probabilities when the utility of some alternative is deterministic. The log-likelihood function is still jointly concave; the EM algorithm is developed to overcome the missing data issue. Results. Surprisingly, if the utility of a particular product is deterministic, the assortment problem is polynomial-time solvable; whereas if the utility of the no-purchase option is deterministic, the assortment problem is NP-hard. We show that the prices are product-invariant at optimality and use this result to simplify the multi-product pricing problems. Managerial Implications. Empirical study on real data shows that incorporating non-randomness into random choice models can increase model fitting and prediction accuracy. Failure of accounting for the impact of non-randomness on random choice models may result in substantial losses.
Freedom of the Press and Equity Returns: Empirical Investigation in Emerging Markets

This article studies the relationship between freedom of press and equity returns in emerging markets. While research has shown that asymmetric information is one reason for high volatility and one type of risk in financial markets, the role of press in reducing that risk has not yet been studied thoroughly. The article attempts to bridge that gap and investigates how a free and unbiased press affects excess returns in stock market. Using the International Capital Asset Pricing Model (ICAPM), Fama-MacBeth’s methodology, and dataset from16 emerging economies from 1986 to 2000, this research is able to show that cross-country excess returns are significantly related to the degree of press freedom.
Dynamics and Structure close to the Glass and Jamming transitions ; Experiments and Simulations

The glass transition is the dramatic dynamical slowdown one observes when cooling down a liquid or densifying a set of particles into an amorphous state. In this thesis we explore two distinct situations related to this phenomenology, mostly in the case of granular materials. In a first part we study the strongly non-linear response of an assembly of frictional grains under vibration when they are very densely packed. To this aim we pull a probe particle - an "intruder" - through the media and follow the dynamics of the particles around. We evidence the presence of two transitions: the first one is analogous to a fluidization transition, as shown by the evolution from a continuous to a highly intermittent motion and by the appearance of a yield stress in the response~; the second one is identified as the jamming transition that occurs in several systems. We show that the reorganizations induced by the intruder display critical signatures at the transition, as previously shown by the study of the same system without drag, leading to interesting connections with recent simulations in athermal and frictionless particles systems. In a second part, we study the relations between the very short term dynamics - essentially made of vibrations of the particles around their equilibrium positions - and the long time scale dynamics where dynamical heterogeneities are responsible for the slowdown of the structural relaxations on approach to the glass transition. The dynamics of the metastable states is analyzed in two experimental granular systems (grains under cyclic shear or in a fluidized bed) as well as in simulations of repulsive particles. We show the dominant role of quasi-instantaneous cooperative displacements to build the large intermittent decorrelation patterns that one observes on longer time scales through a facilitation mechanism. Facilitation becomes less and less efficient when the packing fraction increases, leading to increasingly separated and concentrated dynamical events in space and time. The vibrational dynamics leading to the cooperative motion are also investigated, and we show that the latter are essentially driven by the structure, coarse grained at a mesoscopic scale.
Therapeutics potentiating microglial p21-Nrf2 axis can rescue neurodegeneration caused by neuroinflammation

Novel therapeutics that can activate the microglial Nrf2 pathway contribute to neuronal survival in neuroinflammatory conditions. Neurodegenerative disorders are caused by progressive neuronal loss, and there is no complete treatment available yet. Neuroinflammation is a common feature across neurodegenerative disorders and implicated in the progression of neurodegeneration. Dysregulated activation of microglia causes neuroinflammation and has been highlighted as a treatment target in therapeutic strategies. Here, we identified novel therapeutic candidate ALGERNON2 (altered generation of neurons 2) and demonstrate that ALGERNON2 suppressed the production of proinflammatory cytokines and rescued neurodegeneration in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)–induced Parkinson’s disease model. ALGERNON2 stabilized cyclinD1/p21 complex, leading to up-regulation of nuclear factor erythroid 2–related factor 2 (Nrf2), which contributes to antioxidative and anti-inflammatory responses. Notably, ALGERNON2 enhanced neuronal survival in other neuroinflammatory conditions such as the transplantation of induced pluripotent stem cell–derived dopaminergic neurons into murine brains. In conclusion, we present that the microglial potentiation of the p21-Nrf2 pathway can contribute to neuronal survival and provide novel therapeutic potential for neuroinflammation-triggered neurodegeneration.
A Compact Multilayer Triple-Band Circularly Polarized Antenna Using Anisotropic Polarization Converter

A compact multilayer antenna enabled with anisotropic linear-to-circular (LTC) polarization converter (PC) is investigated in this letter for triple-band circularly polarized (CP) operation. The intended circularly polarized antenna provides a miniaturized size of 0.27 λ0 × 0.27 λ0 × 0.10 λ0 at 2.38 GHz. The fabricated CP antenna provides extended impedance bandwidths of 13.0%, 18.2%, and 14.7% at the center frequencies of 2.38, 3.44, and 5.5 GHz, respectively. The antenna provides an axial ratio (AR) bandwidths of 3.53%, 1.73%, and 13.62%, higher gain-to-area ratio of 28.91, 39.10, and 30.28 for the three bands. Moreover, the antenna provides positive gain values and AR < 3 dB for theta = ±45°, ±46°, and ±32° and phi = 0° to 360° at 2.45, 3.52, and 5.65 GHz, respectively. Hence, the antenna is well suitable for small satellite applications.
Gene Action for Yield and its Attributes by Generation Mean Analysis in Brinjal. (Solanummelongena L.)

Genetic studies assist the breeder in understanding the inheritance mechanism and enhance the efficiency of a breeding programme. Knowledge of gene action and their relative contribution in expression of character is of great importance. Eggplant yield depends on two components viz., fruit weight and number of fruits per plant. These traits are quantitative and therefore influenced by multiple genes. The objective of this study was to estimate the main gene effects (additive, dominance and digenic epistasis) and to determine the mode of inheritance for fruit Yield and its components. The generation mean analysis was employed in three crosses viz., Ac-2 x Annamalai, EP-45 x Annamalai and EP-89 X Annamalai to partition the genetic variance. Among the three crosses studied, the cross Ac-2 x Annamalai had complimentary type of epistasis along with significant additive gene effects and additive x additive interaction gene effects for all the three traits. Considering fruit yield per plant and its attributes, this cross was judged as the best cross for further selection programme. Keywords— Brinjal, epistasis, five parameters, gene action, generation mean analysis, yield, yield attributes.
Handbook of fermented meat and poultry

The first is Poultry Meat Processing. When the first edition of Poultry Meat Processing was. Handbook of Fermented Meat and Poultry Ebook By Fidel Toldra. The color of dry-cured meat products produced by the addition of nitrite or nitrate is determined by nitrosylmyoglobin, a nitrite oxide complex of myoglobin in its. Handbook of Fermented Meat and Poultry, 2nd Edition by Fidel Toldra, Iciar Astiasaran, Joseph Sebranek, Regine Talon, Y. H. Hui 2015 / ISBN: 1118522699.
Dual-Polarized Substrate-Integrated-Waveguide Cavity-Backed Monopulse Antenna Array for 5G Millimeter-Wave Applications

This paper presents a new substrate-integrated-waveguide (SIW) cavity-backed antenna array with dual-polarization monopulse radiation patterns. The monopulse comparator is realized by using SIW magic Tee that is directly fed by the WR-15 waveguide for wide phase balanced bandwidth. The radiating part is implemented by using aperture coupled cross-shaped patches that are enclosed by metallized cavity. In order to realize dual polarizations with high isolation, two independent monopulse feed networks are designed in two different layers and positioned orthogonally to feed the array. Taking advantages of good performance of the SIW-based magic Tee, the monopulse antenna array shows good performance including stable sum and difference patterns with high null-depth from 57.5 GHz to 64.2 GHz.
Evaluating the Quality of Maize Grains Stored in a Modified Metallic Silo

Maize is known to be an important crop for food security in developing countries; and farmers have continued to experience post-harvest losses which lead to reduction in the quality or quantity of maize grains. The main causes of post-harvest losses are the storage insect, pests, improper drying and poor storage systems. Poor storage accounts for 5-10% loss and 5% loss is attributed to insect attacks. This research modified a one tonne metallic silo with the aim of studying the effects on moisture content and hectolitre weight of the maize grains. The moisture content was determined using moisture meter while the hectolitre weight was determined using extruded brass material. The study lasted for six months and analyses were carried out on the data collected using Duncan multiple range tests at 95% level of confidence. The moisture content was observed to reduce from 13.5% to 11.4% w.b while hectoliter weight which is the main determinant of the market value of the grain was observed to increase from 276 kg/ml to 288 kg/ml, this implies that there was increase in the cost value of the grain after six month of storage. The results showed that variations in moisture content along storage period were significant at (p ≤ 0.05).
Turbulence structure and mass transport in a channel flow with polymer injection

Abstract : This study which examined a fully developed turbulent channel flow with polymer injection at the wall had two complimentary objectives. The first objective was to gain more understanding of the way in which long-chain, high- molecular-weight, water soluble polymers effect viscous drag reduction in turbulent wall flows. The second was to acquire information useful in the modeling of the transport processes in flows with polymer injection at the wall, particularly the high Schmidt number mixing process. A fluorescence technique was developed for time-resolved measurements of species concentration profiles. This technique was combined with laser velocimetry to obtain measurements of turbulent mass transport in a flow with polymer injection and, for comparison purposes, a flow with water injection. Two-component laser velocimeter measurements were made in both flows to examine the effect of both the injection process and the evolving polymer concentration field on the structure of turbulence. In the flows with injection, the major transport mechanism was identified as long (in the streamwise direction) filaments of high concentration fluid periodically lifting away from the near-wall region. When polymer was injected, mixing of the injected fluid with the outer flow required longer streamwise distance than for water injection. The high extensional viscosity of the polymer solution resulted in a strong correlation between large instantaneous polymer concentrations and small wall-normal velocity fluctuations causing lower levels of turbulent mass transport.
ANALISIS KETELITIAN DSM KOTA SEMARANG DENGAN METODE INSAR MENGGUNAKAN CITRA SENTINEL-1

ABSTRAK Perkembangan teknologi yang pesat menyebabkan semakin berkembang pula teknologi dalam bidang pemetaan. Terdapat banyak metode yang dapat dilakukan untuk mendapatkan data elevasi, seperti pengukuran terestris yang menghasilkan peta kontur, fotogrametri, atau menggunakan metode pengindraan jauh khususnya dengan menggunakan citra radar dengan metode pengolahan InSAR. Metode InSAR selain dapat digunakan untuk pembuatan informasi ketinggian dapat juga digunakan untuk pembuatan peta deformasi (Pepe, A. dan Calo, F. 2017), identifikasi longsor (Kang, Y. dan Zhao, C, 2017), dan dapat dikombinasikan dengan metode lain seperti pengukuran GPS untuk pengamatan penurunan muka tanah (Yuwono, B, D, dkk. 2018). Informasi ketinggian (elevasi) dapat berupa tabel koordinat, peta kontur, ataupun model elevasi digital. Informasi ketinggian dapat diaplikasikan pada banyak hal, seperti : pembuatan peta jaringan sungai, analisis daerah rawan longsor, perencanaan jaringan jalan, pemetaan daerah rawan banjir, pembuatan peta deformasi, bahkan hingga keperluan militer. Kota Semarang sebagai salah satu kota pusat pemerintahan dan pusat industri di Pulau Jawa sangat membutuhkan data ketinggian untuk menunjang proses pengembangannya. Data ketinggian dapat digunakan untuk perencanaan tata guna lahan, manajemen drainase, jaringan air bersih, jaringan jalan, identifikasi daerah rawan bencana longsor di Kota Semarang. Hasil dari penelitian ini didapatkan DSM dengan selisih ketinggian 0,148 meter sampai 203,558 meter dengan ketelitian 52,381 meter dengan standar deviasi 35,386 meter.
Reinforcing Risk Perception to Induce Exercise Intention: Role of Systematic Interaction from Social Marketing Perspectives

The study examined the relationship between systematic interaction, fear appeals, and exercise intention using group-centered and participatory approaches. The longitudinal experimental design was used to understand the phenomenon of fear appeals (risk perception) for adopting sustained physical activities. The sample comprised two treatment conditions i.e. experimental group and control group to measure the impact of interventions for verification of the proposed conceptual model. The findings indicate that risk perception mediated the relationship between systematic interaction and exercise intention. Moreover, systematic interaction has a positive effect on risk perception and exercise intention. The findings conceptually advance the fear appeal theory with a new lens using a participatory paradigm to augment sustained behavior change. We advocate that use of systematic interaction adds value in expanding the scope of a theoretical base for marketing.
Reducing the Excessive Evaporative Demand Improved the Water-use Efficiency of Greenhouse Cucumber by Regulating the Trade-off between Irrigation Demand and Plant Productivity

Although atmospheric evaporative demand mediates water flow and constrains water-use efficiency (WUE) to a large extent, the potential to reduce irrigation demand and improve water productivity by regulating the atmospheric water driving force is highly uncertain. To bridge this gap, water transport in combination with plant productivity was examined in cucumber (Cucumis sativus L.) grown at contrasting evaporative demand gradients. Reducing the excessive vapor pressure deficit (VPD) decreased the water flow rate, which reduced irrigation consumption significantly by 16.4%. Reducing excessive evaporative demand moderated plant water stress, as leaf dehydration, hydraulic limitation, and excessive negative water potential were prevented by maintaining water balance in the low-VPD treatment. The moderation of plant water stress by reducing evaporative demand sustained stomatal function for photosynthesis and plant growth, which increased substantially fruit yield and shoot biomass by 20.1% and 18.4%, respectively. From a physiological perspective, a reduction in irrigation demand and an improvement in plant productivity were achieved concomitantly by reducing the excessive VPD. Consequently, WUE based on the criteria of plant biomass and fruit yield was increased significantly by 43.1% and 40.5%, respectively.