Miracle-dz/UniFAR-FTUs huggingface dataset:
Report on the Stony Corals from the Maldive Archipelago

The Maldive Archipelago, situated at the southwest of India, consists of 22 atolls, extending over a length of nearly 470km in a north-south direction. The northern limit is Ihavandiffulu Atoll (7"'05'N, 72' 55'E), while Addu, one of the scientifically well known atolls, is located at the southern tip (0' 40'5, 73'1 O'E). The largest among the Maldivian atolls is located in the northern half of the chain and is known by twO names, a nonhern smaller part called Tiladummati, and the southern part Miladummadulu. At the middle pan of the Archipelago the atolls are arranged in two almost parallel rows, incorporating a great number of Faros with their small lagoon-like water bodies, termed Velu. The type locality of Atolls and Faros are the Maldives, the names originating from the Maldivian language. Nearly 2000 small islands enter into the geography of the Maldives, of which circa 200 are inhabited with a population of nearly 120000.
Origine et devenir du phosphore dans le continuum aquatique de la Seine des petits bassins amont à l'Estuaire : rôle du phosphore échangeable sur l'eutrophisation

We evaluated the P sources (point, diffuse), through a nested watershed approach investigating the Blaise (607 km), dominated by livestock farming, the Grand Morin (1202 km), dominated by crop farming, and the Marne (12 762 km), influenced by both agriculture and urbanization. Fertilizers account for the main P inputs (> 60%) to the soils. An agricultural P surplus (0.5 to 8 kg P ha y) contributes to P enrichment of the soil. The downstream urbanized zone is dominated by point sources (60 %, mainly in dissolved forms), whereas in the upstream basin diffuse sources dominate (60 %, mostly particulate). Among the diffuse sources (losses by forests, drainage and runoff), losses by runoff clearly dominate (> 90 %). P retention in the alluvial plain and the reservoir represents 15-30 % of the total P inputs. Dissolved and particulate P fluxes at the outlet of the Marne are similar (340 and 319 tons of P y respectively). The Blaise sub-basin receives P from point and diffuse sources in equal proportions, and retention is negligible. The Grand-Morin sub-basin, influenced by the urbanized zone receives, as does to the whole Marne basin, 60 % of P inputs as point sources. The total particulate phosphorus in suspended sediments averaged 1.28 g P kg, of which about 60% are inorganic and 40% organic P. Particulate phosphorus exchangeable in 1 week and 1 year (P isotopic method) accounts for between almost 26 and 54 % of the particulate inorganic phosphorus in the suspended sediment and might represent an important source of dissolved P, possibly directly assimilated by the vegetation. Bilan du phosphore dans le bassin de la Seine
Parametric and Non-parametric Trend Analysis of Groundwater Data Obtained from National Groundwater Monitoring Stations

Trends of variation in groundwater levels, electrical conductivities and water temperatures obtained from the national groundwater monitoring stations (95 shallow and 169 deep wells) of Korea were evaluated. For the analysis, both parametric (linear regression) and non-parametric (Mann-Kendall test, Sen's test) methods were adopted. Results of linear regression analysis indicated that about 50% of the monitoring wells showed increasing trends of groundwater levels, electrical conductivities, and water temperatures and the others showed decreasing trends. However, the non-parametric analyses with monthly median values revealed that of water levels were decreased, of electrical conductivities were increased, and of water temperatures were increased at a confidence level of 99%. Highly proportions of increasing or decreasing trends were unexpected and they resulted from the relatively short term of data collection (maximum 6 years). Meanwhile, the investigation of groundwater around the national groundwater monitoring stations showed that the decreasing or increasing trends of water levels, electrical conductivities, themselves, didn't indicate directly groundwater hazards such as groundwater depletion or groundwater contamination. Both the values and variation rates (slopes) of water level, electrical conductivity and temperature in the longer period are considered simultaneously. This study is the first comprehensive work in analyzing trends of groundwater data obtained from the national groundwater monitoring stations. Based on this study, the periodical and regular analysis of groundwater data is essentially required to grasp the overall variational trend of groundwater resources in the country.
S ep 2 01 6 DMUS – MP – 16 / 17 Massless sector of AdS 3 superstrings : a geometric interpretation

We study the recently discovered q-deformed Poincaré supersymmetry of the AdS3/CFT2 integrable massless scattering, and demonstrate how the S-matrix is invariant under boosts. The boost generator has a non-local coproduct, which acts on the scattering matrix as a differential operator, annihilating it. We propose to reinterpret the boost action in terms of covariant derivatives on bundles, and derive an expression for the S-matrix as the path-ordered exponential of a flat connection. We provide a list of possible alternative interpretations of this emergent geometric picture, including a one-dimensional auxiliary Schrödinger problem. We support our claims by performing a simplified algebraic Bethe ansatz, which bears some resemblance to antiferromagnets.
Numerical Simulation and Experimental Research of the Temperature Field around a Single Freezing Pipe

Based on the boundless line heat model, the temperature field model has been built around a single frozen pipe, and its analytical solution has been provided. Owing to the experiment on a single frozen pipe, its change of temperature law has been achieved. In addition, compared with the time of freezing the frontal edge calculated by the analytical solution of the temperature field around a single frozen pipe, the phase change time calculated by the analytical solution is faster than the measured time but the gap between them is not great, which proves that the analytical calculation has significantly simulated the temperature field around a single frozen pipe.
Thermal Prestress in Composite Compliant Shell Mechanisms

This paper explores the ability to tailor the mechanical properties of composite compliant shell mechanisms, by exploiting the thermal prestress introduced during the composite laminate cure. An extension of an analytical tape spring model with composite thermal analysis is presented, and the effect of the thermal prestress is studied by means of energy landscapes for the cylindrical composite shells. Tape springs that would otherwise be monostable structures become bistable and exhibit greater ranges of low-energy twisting with thermally induced prestress. Predicted shell geometries are compared with finite element (FE) results and manufactured samples, showing good agreement between all approaches. Wider challenges around the manufacture of prestressed composite compliant mechanisms are discussed.
Fate and effects of copper in fluvial ecosystems: the role of periphyton

L'activitat humana es una de les majors causes d'elevades concentracions de nutrients i substancies toxiques en els ecosistemes fluvials. Entre la gran varietat de factors que alteren aquests ecosistemes, l'eutrofitzacio i la contaminacio per metalls pesants son dos dels principals problemes ambientals en paisos desenvolupats. Els biofilms fluvials (tambe anomenats comunitats perifitiques) representen una eina valuosa per avaluar els efectes dels contaminants (ex. nutrients i metalls) en els ecosistemes aquatics. Aquest treball preten investigar el desti i els efectes del Cu en els ecosistemes fluvials centrant-se en les comunitats perifitiques. Diferents metodologies han estat desenvolupades i/o adaptades per investigar especificament la dinamica del Cu, la seva toxicitat i bioacumulacio en comunitats perifitiques naturals, i la interaccio entre l'eutrofitzacio i la toxicitat del Cu en aquests ecosistemes.
A Comparative Study of the Bidirectional Reflectance Distribution Function of Several Surfaces as a Mid-Wave Infrared Diffuse Reflectance Standard

Abstract : The Bi-Directional Reflectance Distribution Function (BRDF) has a well defined diffuse measurement standard in the ultraviolet, visible, and near infrared (NIR), Spectralon(trade name). It is predictable, stable, repeatable, and has low surface variation because it is a bulk scatterer. In the mid-wave IR (MWIR) and long-wave IR (LWIR), there is not such a well-defined standard. There are well-defined directional hemispherical reflectance (DHR) standards, but the process of integrating BRDF measurements into DHR for the purpose of calibration is problematic, at best. Direct BRDF measurement standards are needed. This study use current calibration techniques to ensure valid measurements and then systematically investigates the BRDF and its variation for eight potential MWIR diffuse BRDF standards. Diffuseness, repeatability, and reflectance are all considered as required parameters necessary for a di use MWIR BRDF standard. This document shows comparatively that Spectralon is an excellent candidate for a diffuse MWIR BRDF standard.
Quantile based estimation of biasing parameters in ridge regression model

Abstract Ridge regression is used to get precise estimates by introducing some bias when the problem of multicollinearity is present in the model. Biasing parameter plays a vital role in this bias-variance tradeoff. Several methods are available in literature for the estimation of biasing parameter. For high noise and multicollinearity, available methods do not perform well in terms of their mean square error. In this article, we proposed a new estimator and compared its performance with some other available estimators. Our suggested estimator is a class of estimators based on quantile of ratio of error variance to the canonical coefficients. Based on simulation study, our proposed estimator outperforms other estimators especially when multicollinearity and error variance are high. Finally, a real-life example is used to illustrate the application of the proposed estimator.
Simultaneous Size and Shape Structural Optimization using Enhanced Comprehensive Learning Particle Swarm Optimization

The paper proposes an enhanced version of the comprehensive learning particle swarm optimization (CLPSO) method for the simultaneous optimal size and shape design of steel truss structures under applied forces. The CLPSO approach incorporates the two novel enhancing techniques, namely perturbation-based exploitation and adaptive learning probabilities, in addition to its distinctive diversity of particles preventing the premature local optimum solutions. In essence, the perturbation enables the robust exploitation of the updating velocity of particles, whilst the learning probabilities are dynamically adjusted by the ranking information of personal best particles. A combination of these techniques results in the fast convergence and likelihood of the global optimum solution. Applications of the enhanced CLPSO method are illustrated through a number of successfully solved truss design examples. The robustness and accuracy of the proposed scheme are evidenced by the comparisons with available benchmarks processed by some other metaheuristic algorithms in obtaining the optimal size and shape distributions of steel trusses complying with limit state specifications.
Laguerre wavelets collocation method for the numerical solution of the Benjamina–Bona–Mohany equations

ABSTRACT In this paper, a new approach for the accurate numerical solution of the Benjamin–Bona–Mahony (BBM) equations with the initial and boundary conditions using Laguerre wavelets is presented. This method is based on the truncated Laguerre wavelet expansions used to convert the initial and boundary value problems into systems of algebraic equations which can be efficiently solved by suitable solvers. Illustrative examples are included to demonstrate the validity and applicability of the technique. Numerical results show the efficiency and accuracy of the present method.
Monoaromatic hydrocarbons, chlorobenzenes and PCBs

Preface. INTRODUCTION. The Incentive. Physical-Chemical Properties. Quantitative Structure Property Relationships (QSPRs). Fate Models. Data Sources and Presentations. MONOAROMATIC HYDROCARBONS. List of Chemicals and Data Compilations. Summary Tables and QSPR Plots. Illustrative Fugacity Calculations: Level I, II, and III. Commentary on the Physical-Chemical Properties and Environmental Fate. CHLOROBENZENES. List of Chemicals and Data Compilations. Summary Tables and QSPR Plots. Illustrative Fugacity Calculations: Level I, II, and III. Commentary on the Physical-Chemical Properties and Environmental Fate. POLYCHLORINATED BIPHENYLS (PCBs). List of Chemicals and Data Compilations. Summary Tables and QSPR Plots. Illustrative Fugacity Calculations: Level I, II, and III. Commentary on the Physical-Chemical Properties and Environmental Fate. List of Symbols and Abbreviations. Appendices. List of BASIC Program for Fugacity Calculations. List of Spreadsheet Program for Lotus 123* Calculations.
Automatic Generation of Regular Expressions for Extracting Attribute Values of Medical Products

Abstract Resources of professional companies operating on the medical services market contain data from a huge number of transactional documents. This allows them to collect and process, among other actions, information about medical products. Organized data is obviously more valuable. In this paper, the possibility of supporting the process of organizing information is considered, with the goal to extract values of attributes of medical products from brief descriptions in transactional documents. This helps to build a structured product specification and makes it possible to make comparisons between products. For this purpose, an approach based on regular expressions and their generation with the use of the genetic algorithm is proposed. The results presented in the paper show a great potential of the presented method.
PENGARUH PELATIHAN LADDER DRILL 90 DEGREE ROTATION DAN LADDER DRILL ALI SHUFFLE TERHADAP PENINGKATAN DAYA LEDAK OTOT TUNGKAI DAN KECEPATAN

Physical condition is a very important component in sports activities while they are achievement or learning. Explosive power leg muscle and speed of motion is the dominant component in sporting activities such as basketball, soccer, volleyball, martial art. The purpose of this study was to determinate This research is a "Quantitative" research method with quasi-experimental techniques, research conducted rigorously to determine the causes and effects between variables. Data analysis techniques in this study were to test the double normality test, homogeneity test, and hypothesis testing. The results of the analysis can be seen that the mean value of the ladder drill 90 degree rotation for increased explosive power has increased from the pretest (452.507) and posttest (482.220) while the speed of the pretest (4.4) and posttest (4.394). The ladder drill ali shuffle group found that the mean value of leg muscle explosive power had increased from pretest (461,269) and posttest (576,757), while the speed of the pretest (4,364) and posttest (4,360). For the control group, the mean value for leg muscle explosive power from pretest (450,738) and posttest (456,009).
Power Allocation for Dynamic Dual-Pickup Wireless Charging System of Electric Vehicle

Power allocation is important for dynamic dual-pickup wireless charging system of electric vehicles (EVs). The existing power allocation methods of wireless power transfer technology mainly focus on allocating the power to loads according to the needs with different resonant frequencies. However, the issues of inaccuracy and low power are still not well solved by the existing methods. In addition, the control strategies of existing methods are complex and difficult to implement in practical situations. In this paper, a new power allocation method is proposed, which can dynamically and precisely allocate power to loads. Moreover, the dynamic mutual inductance estimation and the power ratio change between loads are also investigated. In addition, this method has no need to use additional circuits for the receiving coil. Thus, it is convenient to implement in the dual-pickup wireless charging system of EVs. Experimental results have well verified the correctness of the proposed dynamic mutual inductance estimation and power allocation method.
Computer-Based Media for Learning Geometry at Mathematics Class of Secondary Schools

This research is aimed at developing computer-based media for mathematics learning. This media used interactive model to help students understand the topic of lines, angles and rectangular. This development research applied development model by Borg and Gallmodified by Sugiyono.The study began by finding the potentials materials and its problems followed by astudy of literature. The subject in this research is line, angle and rectangular,including rectangle, square and trapezium. Product design was done through two stages: paper-based design and computer-based. The applications used for product design are Microsoft Frontpage, Microsoft Power Point and Photoshop. Learning media were validated by three experts or validators and were revised based on the input from the validators. The revised learning media were tested on two stages: a small group test consisting of five respondens and a large grouptest consisting of forty respondens. Based on the analysis of data and discussion, it can be concluded that computer-based mediafor mathematics learning is valid with an average score of 3.17 on aspect of materials and 3.18 from aspects of media. This computer-based media formathematicslearning also had practicalities with an average score of 97,92% on a small group test and 99,22% in the large group test.
Testing with a Mutation Testing Game

Software testing is crucially important in a world dominated by software. Software testing is also inherently difficult and requires theoretical expertise and practical experience. However, standard testing techniques are often perceived as boring and difficult, and thus do not feature as prominently in programming education as they maybe should. In order to address this problem, we aim to make testing education more interesting with gamification. The Code Defenders game uses gameplay elements to engage students in the testing process in a competitive and fun way. Our hope is that if students perceive writing tests as a fun activity, they will later become better software engineers, with better testing skills, and with more inclination to apply thorough testing. In this work-in-progress paper we describe our initial experiences with Code Defenders, as well as open challenges on the way to making testing education fun.
Meteorological Parameters and Gaseous Pollutant Concentrations as Predictors of Ground-level PM2.5 Concentrations in the Beijing-Tianjin-Hebei Region, China

ABSTRACT Ground-level PM2.5 concentrations—especially those during episodes of heavy pollution—are severely underestimated by mixed-effects models that ignore the effects of primary pollutant emissions and secondary pollutant conversion. In this work, meteorological parameters and NO2, SO2, CO, and O3 concentrations are introduced as predictors to a mixed-effects model to improve the estimated concentration of PM2.5, which is based on the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD). The Beijing-Tianjin-Hebei (JingJinJi) region is used as the study area. The model provides an overall cross-validation (CV) R2 of 0.84 and root-mean-square prediction error (RMSE) of 33.91 µg m–3. The CV R2 and RMSE of the proposed model are higher by 0.11 and lower by 9.16 µg m–3, respectively, than those of a model lacking gaseous pollutants as predictors. The R2 and RMSE of the proposed model increases and decreases by 0.14 and 13.37 µg m–3, respectively, when PM2.5 concentrations exceed 75 µg m–3. The high values predicted for the PM2.5 concentration indicate a drastic improvement in the estimation, and the spatial distribution generated by the model for periods of heavy pollution is highly consistent with that inferred from monitoring data. Thus, the proposed model can be used to generate highly accurate maps of the PM2.5 distribution for long-term and short-term exposure studies and to correctly classify exposure in heavily polluted areas.
Fully Homomorphic Encryption with Applications to Privacy-Preserving Machine Learning

There are two dominant trends today that appear to be mutually exclusive: on the one hand, machine learning services that provide accurate predictions based on personal data have become widespread, but on the other hand, data privacy has become a paramount concern for many people. Furthermore, the use of machine learning is heavily restricted in situations like healthcare where it would be most impactful due to regulations preventing the sharing of private data. Fully Homomorphic Encryption (FHE) is the magic bullet that lets us “have our cake and eat it too,” allowing users to send their data to a remote machine learning provider and receive accurate predictions while mathematically guaranteeing complete data security. In this thesis, I give an exposition of Fully Homomorphic Encryption from first principles. I present the mathematical foundations of FHE, notably the Learning With Errors problem (and its Ring variant) used to prove FHE schemes secure, and then I describe two popular FHE schemes. Finally, I survey how FHE is currently used for machine learning, with a particular focus on settings where FHE unlocks opportunities that are otherwise infeasible due to privacy concerns. The primary contribution of this work is the completeness of its exposition, which takes a reader with no cryptography background to the forefront of current research in this revolutionary technology.
A cooperative domain model for multiple phase transitions and complex conformational relaxations in polymers with shape memory effect

Shape memory polymers (SMPs) are thermo-rheologically complex materials showing significant temperature and time dependences. Their segments often undergo cooperative phase transitions and conformational relaxations simultaneously along with shape memory effect (SME). In this study, a cooperative domain model is proposed to describe the composition dependence, multiple phase transitions and conformational relaxations of SMPs within their glass transition zones. Variations in local-area compositions and cooperative domains of the amorphous SMPs cause significant differences in their segmental relaxation. At a fixed domain size, both intermolecular activation energy and relaxation time significantly influence the SME and thermomechanical properties of the SMPs. Finally, the model is successfully applied to predict the shape memory behavior of SMPs with one stage SME and triple-SME, and the theoretical results have been validated by the experimental ones. This model could be a powerful tool to understand the working mechanisms and provide a theoretical guidance for the designs of multi-SME in SMPs.
Complex oscillation of non-homogeneous differential equations in the unit disc

Abstract In this paper, we investigate the relationship between solutions and their derivatives of non homogeneous linear differential equation for k ≥ 2 and small functions, where are finite order meromorphic functions in the unit disc . We obtain some oscillation theorems for , where f (z) is a solution and ϕ(z) is a small function.