Miracle-dz/UniFAR-FTUs huggingface dataset:
Defining the Sensitivity of Multi-Frequency and Multi-Polarized Radar Backscatter to Post-Harvest Crop Residue

RÉSUMÉ Les taux de résidus laissés dans les champs varient beaucoup après la récolte. L'érodabilité et la santé de la couche arable sont en partie déterminées par la quantité et le type de résidus. Bien que les capteurs radar pourraient être utiles à la cartographie des résidus et/ou des méthodes culturales pour le suivi des pratiques de conservation des sols, la relation entre les résidus et le signal radar rétrodiffusé est peu connue. Deux expériences utilisant un diffusiomètre au sol ont été menées sur des parcelles de la Ferme expérimentale centrale d'Agriculture et agroalimentaire Canada, Ottawa (Canada). Les expériences ont été conçues pour évaluer l'influence du type (maïs et orge) de la teneur en eau et de la quantité de résidus sur le signal rétrodiffusé, et d'examiner l'effet de l'angle de visée sur la réponse radar. Les mesures du diffusiomètre (bandes C et L, dans quatre combinaisons linéaires de polarisation transmise-reçue) furent prises dans des parcelles de maïs et d'orge dont les traitements variaient en termes de quantité et de teneur en eau des résidus. Les expériences ont démontré que les résidus agricoles peuvent retenir des quantités significatives d'eau et qu'ils ne sont pas transparents aux hyperfréquences incidentes. Le couvert de résidus va entraver l'utilisation des capteurs radar pour la cartographie de la teneur en eau du sol. La quantité et la teneur en eau des résidus étaient correlées avec le signal radar rétrodiffusé, les corrélations les plus fortes étant associées aux traitements de résidus de maïs, la bande C croisée et les grands angles d'incidence. La diffusion polarisée n'était pas sensible aux effets de la direction de visée. Les résultats de ces expériences indiquent que la rétrodifusion croisée pourrait être utilisée pour obtenir de l'information sur les pratiques culturales de conservation.
A space-time reconstruction algorithm for steady and unsteady and Euler equations

In this paper, a second-order characteristic based scheme is proposed using the control-volume method on unstructured meshes. The second-order accuracy is achieved by linearly reconstructing the solution from characteristic information (linear variation in space and time) instead of from geometric information (linear variation in space only) as in Barth & Jespersen [12]. The proposed spacetime reconstruction scheme is used for both unsteady and steady calculations. Numerical results show its ability in improving the solution accuracy for unsteady problems as well as some good features relative to solution convergence for steady flow computations.
The Greek Penetration of the Black Sea

the Black Sea littoral, two important facts seem likely to emerge: there was no preclassical ("Mycenaean") penetration of the Pontus; and the classical Greek colonies in that region were founded later than those in the West. At first glance, there is no interconnection between these two propositions; yet it is possible to discover a common deterrent cause which closed the Black Sea to both the Helladic and the Early Classical ships. That common cause was the strength of the great Bosporus current, which carries off the excess surface water of the Black Sea, discharged into it in enormous volume by the Danube and the great Russian rivers. ' Not until ships were built, and put into efficient service, which were capable of an oar-driven speed of more than four knots, could any Aegean vessel pass beyond the Golden Horn. From the outset of this discussion it should be understood that it was never possible to sail through the straits from the Propontis to the Euxine. The classical rig of a single sail hung square on a horizontal yard did not permit sailing close-hauled to the wind or of beating up against it. It is of course possible for a square-rigged vessel to make direct gains to windward by tacking (though accomplishing markedly less than a fore-and-aft rigged vessel); but even the best-equipped modern sailboat, if carrying a square-rig, would experience the utmost difficulty in trying to work up through the Bosporus against the wind, so that there is not the slightest probability that the ancient ships, which "came about" with difficulty and could not be close-hauled without spilling the wind, could ever have negotiated the swift-running stream if the wind, as well, was adverse. Indeed, we have in Demosthenes2 direct testimony that, as late as his day, the sailing-vessels did not try to beat against the wind even in open water and with a steady breeze. But all summer long, the prevailing air current draws from the Black Sea into the Sea of Marmora, blowing straight down the drowned river-valley of the Bosporus;3 and though this summer wind may be light toward sunset and die away at night, and though there may even be entire days of calm at this (as at any) season of the year, neither of these factors would be of the slightest aid against the steady current pouring out of the Black Sea and running at its strongest during the sailing months of late spring and summer.4 A powerful southwest wind of almost gale force,
Elastic Network Models in Biology: From Protein Mode Spectra to Chromatin Dynamics

Biomacromolecules perform their functions by accessing conformations energetically favored by their structure-encoded equilibrium dynamics. Elastic network model (ENM) analysis has been widely used to decompose the equilibrium dynamics of a given molecule into a spectrum of modes of motions, which separates robust, global motions from local fluctuations. The scalability and flexibility of the ENMs permit us to efficiently analyze the spectral dynamics of large systems or perform comparative analysis for large datasets of structures. I showed in this thesis how ENMs can be adapted (1) to analyze protein superfamilies that share similar tertiary structures but may differ in their sequence and functional dynamics, and (2) to analyze chromatin dynamics using contact data from Hi-C experiments, and (3) to perform a comparative analysis of genome topology across different types of cell lines. The first study showed that protein family members share conserved, highly cooperative (global) modes of motion. A low-to-intermediate frequency spectral regime was shown to have a maximal impact on the functional differentiation of families into subfamilies. The second study demonstrated the Gaussian Network Model (GNM) can accurately model chromosomal mobility and couplings between genomic loci at multiple scales: it can quantify the spatial fluctuations in the positions of gene loci, detect large genomic compartments and smaller topologically-associating domains (TADs) that undergo en bloc movements, and identify dynamically coupled distal regions along the chromosomes. The third study revealed close similarities between chromosomal dynamics across different cell lines on a global scale, but notable cell-specific variations in the spatial fluctuations of genomic loci. It also called attention to the role of the intrinsic spatial dynamics of chromatin as a determinant of cell differentiation. Together, these studies provide a comprehensive view of the versatility and utility of the ENMs in analyzing spatial dynamics of biomolecules, from individual proteins to the entire chromatin.
Pyramidal lattice vector quantization for multiscale image coding

Lattice vectorquantization( LVQ) has been recently interested to many people by its promising property.Due to the distribution of wavelet im age coefficients,pyramidal lattice vector quantization ( PLVQ) was introduce.A general coding sheme was proposed to eliminate the redundance of VQ output vectors.Furthermore,a fast algorithm of labeling lattice points and a fast inverse algorithm of finding lattice points were given.Significance m ap in VQ which determines non-zero vector position efficiently was introduce.Finally,transmission priority in case of Asynchronous Transfer Mode was suggest.
Analysis to  the clinical characteristics and prognosis of  MDA5 positive patients with dermatomyositis

Background: To explore the relationship between anti-MDA5 antibody and clinical manifestations of dermatomyositis(DM) and to explain the correlation of prognosis as well. Methods: Retrospective analysis was performed at the Department of Rheumatology and Immunology in Xiangya Hospital, Central South University from April 2017 to February 2019. The clinical data were collected from 109 patients with DM, and then the patients were divided into anti-MDA5 antibody positive group and negative group according to the results of antibody detection, after which statistical analysis was carried out with SPSS 23.0 software.Results: Among the 109 DM patients, the ratio of male to female is 1:2.3, with 58 positive anti-MDA5 antibody and 51 negative anti-MDA5 antibody. There is no difference in gender and age between the two groups, and patients with positive anti-MDA5 have a shorter course. The incidence of clinical symptoms, including Gottron sign, skin ulcer, joint pain, joint swelling, nail erythema, dyspnea, and cough in patients with anti-MDA5-positive DM is significantly higher than those in the anti-MDA5-negative group. Anti-MDA5 antibodies are inversely associated with tumorigenesis. Patients with anti-MDA5-positive DM have less elevation of muscle enzymes and are prone to ILD and RPILD, while patients with anti-MDA5-positive DM have a high mortality rate and poor prognosis.Conclusion: Combined with RP-ILD, the prognosis of DM is poor. When patients have these clinical manifestations and positive MDA5, they must actively undergo lung imaging examination and be alert to RP-ILD.
Personalized Treatment through Biosensors and Machine Learning ML

Precision medicine and personalized treatment can be effectively achieved through a combination of machine learning ML techniques and data gathered through specialized biosensors. However, the biggest challenge appears to be need of better data – in terms of both quality and quantity – on which to apply appropriate ML techniques. While ML can uncover deeper dependencies between the data, it requires enough good data to capture these dependencies. No matter how good the ML algorithms are, they cannot find something which is not in the training set. Hence, better (in terms of both quality and quantity) datasets are required to train algorithms. This, in turn, means that improved biosensors are needed to deliver such comprehensive, specialized data. The first section of the report provides a comprehensive literature review of personalized medicine applications employing ML methods on sensor data, under categories of Mobile sensing and portable devices, Neuroimaging, Brain Machine Interface, Omics and electronic health records, and Biosensor systems. While the first section is focused on opportunities and successes described in the literature, the second section highlights the key challenges which need to be addressed in order to take full advantage of the benefits ML can offer in the areas of personalized medicine. They also underscore the need for biosensors which provide better quality and quantity of data on which ML may operate. The third section describes select “best practices” for ML applications: data quality management and validation, data visualization, and privacy preserving data analysis. Very effective interactive visualization can be delivered through a Shiny framework and R packages, and we present a representative interactive visualizer using real data. Lastly, the appendices provide additional information and references on data quality procedures, data visualization techniques, and topics in ML.
Upaya Guru Mengembangkan Kecerdasan Intrapersonal Anak Usia Dini Melalui Sentra Main Peran di TA Al-Mannar Ponorogo

Abatrak: The purpose of this research is to find out more deeply the steps taken by the TA Al-Manaar Al-Islamiyah Wali Songo Islamic Boarding School Ngabar Siman Ponorogo in developing intrapersonal intelligence of early childhood through role playing centers, as well as seeing the results achieved from the steps for the development of intrapersonal intelligence of early childhood, and do not forget to know the obstacles or obstacles faced by the implementation of these steps. This type of research is a qualitative research method or case study approach. Data analysis techniques are data reduction, data presentation, conclusion drawing or data verification. The results achieved by intrapersonal intelligence of early childhood in TA Al-Manaar Al-Islamiyah Ngabar have been well developed through the activities center playing roles with indicators such as self-awareness, emotional control, obeying the rules, a sense of responsibility has also been well developed. Barriers that arise, there are still children who are shy in playing a role, it takes a long time to play a role and the lack of supporting facilities in the center of role playing.
Full‐wave modeling of EMIC waves near the He+ gyrofrequency

Electromagnetic ion cyclotron (EMIC) waves are known to be excited by the cyclotron instability associated with hot and anisotropic ion distributions in the equatorial region of the magnetosphere and are thought to play a key role in radiation belt losses. Although detection of these waves at the ground can provide a global view of the EMIC wave environment, it is not clear what signatures, if any, would be expected. One of the significant scientific issues concerning EMIC waves is to understand how these waves are detected at the ground. In order to solve this puzzle, it is necessary to understand the propagation characteristics of the field‐aligned EMIC waves, which include polarization reversal, cutoff, resonance, and mode coupling between different wave modes, in a dipolar magnetic field. However, the inability of ray tracing to adequately describe wave propagation near the crossover cutoff‐resonance frequencies in multi‐ion plasmas is one of reasons why these scientific questions remain unsolved. Using a recently developed 2‐D full‐wave code that solves the full‐wave equations in global magnetospheric geometry, we demonstrate how EMIC waves propagate from the equatorial region to higher magnetic latitude in an electron‐proton‐He+ plasma. We find that polarization reversal occurs at the crossover frequency from left‐hand polarization (LHP) to right‐hand (RHP) polarization and such RHP EMIC waves can either propagate to the inner magnetosphere or reflect to the outer magnetosphere at the Buchsbaum resonance location. We also find that mode coupling from guided LHP EMIC waves to unguided RHP or LHP waves (i.e., fast mode) occurs.
PENGARUH FINANCIAL SOCIALIZATION DAN FINANCIAL EXPERIENCE TERHADAP FINANCIAL MANAGEMENT BEHAVIOR

The purpose of this study was to determine the financial management behavior of employed women in Bandung. This research uses a quantitative method and a Likert scale for measurement scale. The sample of this study was 400 respondents who are employed women in Kota Bandung were selected using incidental sampling techniques. The independent variable consists of financial socialization and financial experience, while the dependent variable is financial management behavior. The data analysis technique in this research is Structural Equation Modeling-Partial Least Square (SEM-PLS) using SmartPLS software. The results of financial socialization on financial management behavior has a tstatistics value of 25.220> ttabel value of 1.96 means that the financial socialization variable has a positive and significant effect on financial management behavior, then the financial experience on financial management behavior has a tstatistics value of 1.641 < ttabel value of 1.96 means that the financial experience does not have a positive and significant effect on the financial management behavior variable. Keywords: Financial Socialization, Financial Experience, Financial Management Behavior ABSTRAK Penelitian ini bertujuan untuk mengetahui financial management behavior dari Wanita Bekerja di Kota Bandung. Penelitian ini menggunakan metode kuantitatif dan skala likert sebagai skala pengukuran. Sampel yang digunakan dalam penelitian ini sebanyak 400 responden yang merupakan Wanita Bekerja di Kota Bandung yang dipilih menggunakan teknik incidental sampling. Variabel independen terdiri dari financial socialization dan financial experience, sedangkan variabel dependen adalah financial management behavior. Penelitian ini menggunakan teknik analisis data Structural Equation Modeling- Partial Least Square (SEM-PLS) menggunakan software SmartPLS. Hasil penelitian menunjukkan financial socialization terhadap financial management behavior memiliki nilai memiliki pengaruh positif dan signifikan terhadap financial management behavior dengan tstatistik sebesar 25,220> nilai ttabel sebesar 1.96, kemudian variabel financial experience tidak berpengaruh positif dan signifikan terhadap financial management behavior dengan nilai tstatistik sebesar 1,641< nilai ttabel sebesar 1.96. Kata Kunci: Financial Socialization, Financial Experience, Financial Management Behavior
Geographic Connection and Insider Trading: Evidence from COVID-19

We examine the ability of insiders of firms with operational connections to China to anticipate the COVID-19 stock market crash. The COVID-19 crash provides a unique identification opportunity to study insiders’ informational advantages due to its sudden and historic nature. We find that China insiders sold more (less) stock in the early (late) COVID-19 period than non-China insiders consistent with greater attentiveness to public information about the COVID-19 pandemic arising from their geographic proximity to China. Further, these results are driven by non-preplanned trades and are consistent with their anticipation of the systematic market effects of COVID-19 on their firm. These results contribute to the insider trading literature, which has otherwise found little evidence that insider sales precede major stock market declines. Our results also extend the literature by documenting a geographic component to the information advantages of insiders.
Dermal, histological anomalies with variations in enzyme activities of the earthworms Lampito mauritii and Drawida willsi after short term exposure to organophosphate pesticides

Monocrotophos and glyphosate are two potent organophosphate pesticides used on agricultural farms in India to control insect pests and weeds, respectively. Consistent application of these chemicals poses a risk of residual soil contamination with possible adverse implications on non-target organisms, like earthworms. The present study evaluates the impacts of these pesticides on the skin, muscles and certain biochemical parameters such as protein content, lipid peroxidation (LPX) level, activities of lactate dehydrogenase (LDH), acetylcholinesterase (AChE) and catalase (CAT) of two tropical earthworms Drawida willsi and Lampito mauritii. Monocrotophos at 1.0, 2.0, 3.0 g/kg soil and glyphosate at 0.1, 0.15, 0.2 g/kg soil were used for the experiment. At high concentrations, both pesticides induced lesions and skin undulation in the earthworms. In L. mauritii, the postclitellar region indicated muscle disorganization with high concentrations of monocrotophos. The lowest protein level was recorded in D.willsi and L. mauritii with high concentrations of monocrotophos. L. mauritii exhibited maximum LPX at high concentrations of glyphosate. Both the earthworms indicated the least LDH activity with high pesticide concentration. Minimal AChE activity in L. mauritii was observed with a high concentration of glyphosate. A high concentration of monocrotophos inhibited CAT activity in L. mauritii. The variable response of the selected morpho-histological and biochemical parameters in the earthworms to different pesticide concentrations could be useful early warning biomarkers to evaluate soil residual toxicity.
Mentors, Role Models, and Observed Differences in Students’ Construction Education Self-Efficacy and Motivation

ABSTRACT Perceived self-efficacy, motivation, and the presence of mentors and role models can influence occupational and academic behavior, pursuits and success. These constructs were adapted to the construction-education domain in a quantitative survey administered to 587 students enrolled in construction management courses at three universities. Mentors and role models were defined as individuals who influence a respondent’s academic decisions; mentors give advice and support, whereas role models provide inspiration. Students with a person of influence (i.e., mentor or role model) reported higher self-efficacy (p < .001) and motivation (p < .001) toward successful performance in, and completion of, construction education. In total, 80.6% of construction management students reported having a person who influenced their academic decisions, and family members were reported most frequently as the person of greatest influence; a higher percentage of female students reported having a person of influence compared to male students. This article provides insight regarding the influence of others on students’ self-efficacy and motivation towards academic performance within the construction-education domain. Study limitations and areas of further research are discussed.
MANAGERIAL OWNERSHIP AND MARKET-BASED PERFORMANCE INDICATORS:EXTENDED AGENCY THEORY

Our study empirically investigates the relationship between managerial ownership and company performance of public listed companies in Malaysia. Three years panel data of 730 Malaysian public listed companies were examined. Our findings demonstrated that managerial ownership had negative and significant relationship with Tobin’s Q and share price. Therefore, the involvement of management in monitoring and controlling activities fail to reduce agency conflict in the emerging economy. This study is perhaps the first that explain the extended agency theory in developing country