Miracle-dz/UniFAR-FTUs huggingface dataset:
La perspectiva estudiantil sobre el desempeño del profesor: un modelo de regresión logística ordinal

La regresion logistica es una tecnica estadistica de creciente uso en investigaciones en Ciencias de la Salud y en Educacion. El objetivo de este trabajo es presentar un modelo de regresion logistica ordinal empleando variables educativas, de modo de ofrecer al lector algunos lineamientos metodologicos a partir de datos empiricos, con un enfoque aplicado. Desde una perspectiva constructivista se modela el criterio “percepcion estudiantil sobre el desempeno del profesor como facilitador del aprendizaje” por medio de regresion logistica ordinal, empleando el programa SPSS. Los datos proceden de una encuesta aplicada a 244 estudiantes de primer ano de la Facultad de Quimica, Uruguay. Las calificaciones estudiantiles, asi como su opinion general sobre las actitudes y estrategias del profesor, resultaron ser buenos predictores del criterio. Se discuten detalles sobre la elaboracion y seleccion de modelos, transformacion de variables, interpretacion de parametros, analisis de efectos de interaccion y confusion, evaluacion del ajuste del modelo y empleo de estadisticos de diagnostico mediante patrones de covariables. Se comparan los resultados de la regresion logistica binaria y la ordinal empleando SPSS. educational research. The purpose of this paper is to present a logistic regression model for ordinal response variables within an educational environment, in order to provide readers with guidelines from real data and a practical point of view. Based on a constructivist framework, the criterion “students’ perception of the teacher as a facilitator of learning” is modeled by ordinal logistic regression, employing the statistical package SPSS. Data were collected in a survey carried out among 244 students of the first year of the School of Chemistry, Uruguay. Students’ grades as well as their general opinion towards teachers’ strategies and attitudes proved to be effective predictors of the criterion. Details of model-building procedure, transformation of predictors, parameters interpretation, examination of interaction and confounding effects, goodness-of-fit assessment and regression diagnosis based on covariate patterns are discussed. Results of both ordinal and binary logistic regression with SPSS are also compared.
Evaluation of high-resolution satellite precipitation products with surface rain gauge observations from Laohahe Basin in northern China

Abstract Three high-resolution satellite precipitation products, the Tropical Rainfall Measuring Mission (TRMM) standard precipitation products 3B42V6 and 3B42RT and the Climate Precipitation Center's (CPC) morphing technique precipitation product (CMORPH), were evaluated against surface rain gauge observations from the Laohahe Basin in northern China. Widely used statistical validation indices and categorical statistics were adopted. The evaluations were performed at multiple time scales, ranging from daily to yearly, for the years from 2003 to 2008. The results show that all three satellite precipitation products perform very well in detecting the occurrence of precipitation events, but there are some different biases in the amount of precipitation. 3B42V6, which has a bias of 21%, fits best with the surface rain gauge observations at both daily and monthly scales, while the biases of 3B42RT and CMORPH, with values of 81% and 67%, respectively, are much higher than a normal receivable threshold. The quality of the satellite precipitation products also shows monthly and yearly variation: 3B42RT has a large positive bias in the cold season from September to April, while CMORPH has a large positive bias in the warm season from May to August, and they all attained their best values in 2006 (with 10%, 50%, and −5% biases for 3B42V6, 3B42RT, and CMORPH, respectively). Our evaluation shows that, for the Laohahe Basin, 3B42V6 has the best correspondence with the surface observations, and CMORPH performs much better than 3B42RT. The large errors of 3B42RT and CMORPH remind us of the need for new improvements to satellite precipitation retrieval algorithms or feasible bias adjusting methods.
Lithofacies and cyclicity of Mohilla evaporite basins on the rifted margin of the Levant in the Late Triassic, Makhtesh Ramon, southern Israel

Marine‐connected basins with evaporites occur beneath most extensional continental margins that originated at low‐latitudes and often are of major economic significance. Cyclicity in the evaporite lithofacies reflects the degree of restriction of the basin, overprinted by sea‐level changes, and caused by structural movements in the barrier region, whether by fault‐block rotation, footwall uplift or hanging wall subsidence, in both extensional and compressional basins. The Upper Triassic evaporites of the Ramon section in southern Israel model cyclic sedimentation in such environments. The Mohilla Formation is a carbonate–evaporate–siliciclastic succession of Carnian age that fills a chain of basins extending along the Levant margin from southern Israel to Jordan and Syria. The basins developed in half‐grabens adjacent to normal faults that formed during a period of regional extension. Evaporites of this formation are well‐exposed in outcrops at Makhtesh Ramon, the southernmost of these basins. The M2 Member of the Mohilla Formation is composed of 42 sub‐metre cycles of alternating dolostone, gypsum and calcareous shales. Field and microfacies analysis showed these cycles to conform mostly to restricted shallow and marginal marine environments, spatially limited by the uplifted shoulders of the half‐graben systems. A total of 10 facies types belonging to six depositional environments have been identified. From stacking patterns and analysis of bed to bed change, cycles can be categorized into three groupings: (i) low frequency exposure to exposure cycles that developed under eustatic or climate control; (ii) high frequency deepening/shallowing‐upward cycles, characterized by gradual transitions due to short‐term sea‐level or runoff‐event oscillations possibly referable to orbital forcing; and (iii) high frequency shallowing‐upward cycles, characterized by abrupt transitions, attributable to sporadic tectonic events affecting accommodation space or barrier effectiveness. The way facies and cycling of the sedimentary environments was deciphered in the Mohilla evaporite basin can be used to unravel the genesis of many other evaporite basins with barriers of tectonic origin.
Agro-ecological modelling for monitoring rice productions: contribution of field experiment and multi-temporal EO data

Crop growth and production can be simulated by models for the whole canopy as a function of intercepted radiation, water availability, air temperature and nitrogen availability. Simulation models supply quantitative outputs starting from quantitative inputs and they need quite complex databases to run simulations. In practice, the more complex and physically based these tools are, the more inputs are required for their application. In most cases such data are not available. This is the reason why, for large scale evaluations, simplified models are often applied and satellite data are used as input. In particular, multi-temporal Earth Observation data represent a valid tool to define crop phenological stages and derive temporal and spatial variability of vegetation biophysical parameters, such as the Leaf Area Index (LAI). In 2003 and 2004 two intensive field campaigns were conducted over different areas of the Italian Rice Belt, Northern Italy, with the objective of collecting data for growth model calibration. Field spectroradiometer measurements and LAI estimation, retrieved by LAI2000, have been used to study the best Vegetation Index (VI) for rice growth monitoring. VI vs LAI relationship has been scaled up to MODIS data to produce LAI map for the entire growing season and the key phenological rice events have been detected by multitemporal MODIS analysis. Preliminary results of rice production estimation using a Light Use efficiency model that ingests spatially distributed phenological information are presented. Comparison with CropSyst model phenological parameters are provided and the contribution of multi-temporal EO data for regional crop monitoring is discussed.
Amazonian biomass burning‐derived acid and nutrient deposition in the north Andean montane forest of Ecuador

We explored the influence of biomass burning in Amazonia and northeastern Latin America on N, C, P, S, K, Ca, Mg, Al, Mn, and Zn cycles of an Andean montane forest in south Ecuador exposed to the Amazon basin between May 1998 and April 2003. We assessed the response of the element budget of three microcatchments (8–13 ha) to the variations in atmospheric deposition between the intensive burning season and outside the burning season in Amazonia. There were significantly elevated H, N, and Mn depositions during biomass burning. Elevated H deposition during biomass burning caused elevated base metal loss from the canopy and the organic horizon and deteriorated already low base metal supply of the vegetation. N was only retained during biomass burning but not during nonfire conditions when deposition was much smaller. We conclude that biomass burning‐related aerosol emissions in Amazonia are large enough to substantially increase element deposition at the western rim of Amazonia. Particularly the related increase of acid deposition impoverishes already base metal scarce ecosystems. As biomass burning is most intense during El Niño situations, a shortened El Niño–Southern Oscillation cycle because of global warming likely enhances the acid deposition at our study forest.
Passive RFID Module with LSTM Recurrent Neural Network Activity Classification Algorithm for Ambient Assisted Living

— Human activity recognition from sensor data is a fundamental research topic to achieve remote health monitoring and ambient assisted living (AAL). In AAL, sensors are integrated into conventional objects aimed at enabling people’s capabilities through digital environments that are sensitive, responsive and adaptive to human activities. Moreover, new technological approaches to support AAL within the home or community setting offers people the prospect of more individually focused care and improved quality of living. In the present work, an ambient human activity classification framework that augments information from the received signal strength indicator (RSSI) of passive RFID tags to obtain detailed activity profiling is proposed. Key indices of position, orientation, mobility, and degree of activities which are critical to guide reliable clinical management decisions using 4 volunteers are employed to simulate the research objective. A two-layer, fully connected sequence long short-term memory recurrent neural network model (LSTM RNN) is implemented. The LSTM RNN model extracts the feature of RSS from the sensor data and classifies the sampled activities using SoftMax. The performance of the LSTM model is evaluated for different data size and the hyper-parameters of the RNN are adjusted to optimal states, which results in an accuracy of 98.18%. The proposed framework suits well for smart homes and smart health and offers a pervasive sensing environment for the elderly, persons with disability and chronic illness. Wireless/Mobile Communication System including Adaptive Beamforming Algorithms for wireless networks, multi-user massive MIMO, Energy Efficient Transceiver, New Modulation and Waveform schemes, Heterogeneous Network and mmWave Channel Models.
Generation and Stability of a Quasi-Permanent Vortex in the Lofoten Basin

Abstract In the Nordic seas the Lofoten Basin is a region of high mesoscale activity. The generation mechanism and the conditions for the stability of a quasi-permanent vortex in the center of the Lofoten Basin are studied with a high-resolution ocean circulation model and altimeter data. The vortex and its generation mechanism manifest themselves by a pronounced sea surface height (SSH) signature and variability, which are found to be in agreement with altimeter data. The vortex results primarily from anticyclonic eddies shed from the eastern branch of the Norwegian Atlantic Current, which propagate southwestward. The large-scale bottom depression of the Lofoten Basin plays a crucial role for attracting anticyclones into the trough and for enabling the dynamical stability of the vortex. The water mass characteristics of the anticyclone lead to enhanced atmospheric interaction (heat loss) during wintertime. The cold water trapped in the upper part of the vortex preconditions convection in the following wi.
The equatorial El Niño-Southern Oscillation signatures observed by FORMOSAT-3/COSMIC from July 2006 to January 2012

This paper uses the tropospheric pressure, temperature, and water vapor pressure observed by six micro-satellites of the FORMOSAT-3/COSMIC (F3/C) constellation to study El Niño-Southern Oscillation (ENSO) events from July 2006 to January 2012. The temperature and pressure profiles are used to derive the height, pressure, temperature, and potential temperature of the lapse rate tropopause. Following the calculation of the standard normalized Southern Oscillation Index (SOI) and the Niño 3.4 index, the corresponding indices of the four tropopause parameters are derived. Good agreements between the standard and F3/C-derived indices show that the derived indices are significant for monitoring ENSO signatures. With the uniform coverage, the global F3/C profiles are used to construct three-dimensional structures of temperature, pressure, and water vapor pressure to gain a better understanding of tropospheric structures and dynamics during the ENSO events.
Linking desert evolution and coastal upwelling: Pliocene climate change in Namibia

A late Pliocene high-resolution pollen record from the southeast Atlantic (Ocean Drilling Program Site 1082) registers vegetation development in southwest Africa. The marine record is continuous, ranges from 3.5 to 1.7 Ma, and has a millennial resolution between 2.9 and 1.9 Ma. Changes in climate and vegetation correspond to the Matuyama diatom maximum of the Namibian upwelling system and seem to be highly susceptible to latitudinal shifts in the Polar Front Zone of the Southern Ocean. A northward advance of the polar fronts is connected with an increase in winter rainfall in southwest Africa. Rapid desiccation in Namibia at 2.2 Ma is associated with increasing upwelling and decreasing sea- surface temperatures along the coast.
A fifty-year journey of China towards the world economy. An empirical study on the determinants of China's bilateral trade relations

Tot 1978 was de communistische volksrepubliek China een geisoleerd land. De buitenlandse handel was een staatsmonopolie; de omvang was beperkt en het betrof voornamelijk transacties met naaste buren. Nu is China een van de belangrijkste handelsnaties in de wereld. Het aantal handelspartners – ook over grote afstand – is groot en groeiende, de samenstelling van de handelsstromen is divers en de buitenlandse investeringen in dit communistische land zijn de laatste decennia sterk gestegen. Promovendus Jianhong Zhang deed onderzoek naar de bilaterale handelsrelaties van China, vanaf de oprichting van de socialistische staat in 1949 tot nu. Daarbij bestudeerde zij de invloed van economische, politieke, geografische en culturele factoren op deze handelsrelaties. Ook onderzocht Zhang of China’s handelsrelaties kunnen worden verklaard met behulp van handelstheorieen die in beginsel zijn ontwikkeld voor westerse economieen. Voordat China zijn economie begon te liberaliseren, speelden politieke en institutionele factoren de belangrijkste rol in de bilaterale handelsrelaties, stelt Zhang. Toen China in 1978 zijn deuren opende naar de internationale wereld, kreeg het marktmechanisme echter vat op deze handelsrelaties. Aanvankelijk weinig, maar later steeds meer. Dit leidde ertoe dat de invloed van politieke factoren in de jaren negentig naar de achtergrond werd gedrukt en werd overgenomen door factoren die traditioneel thuishoren in handelsmodellen, namelijk economische, culturele en geografische factoren. Multinationals die zich in China vestigen spelen hierbij een doorslaggevende rol.
Critical path analysis of the relationship between permeability and electrical conductivity of three‐dimensional pore networks

The critical path analysis (CPA) of Ambegaokar et al. [1971] suggests that transport in random systems with a broad enough distribution of conductances is dominated by a controlling conductance of a critical magnitude. The present short, yet systematic, study provides a test of the applicability of the CPA to determine the relationship between two different transport properties of three‐dimensional pore networks. Two characteristic transport properties are examined: viscous (hydraulic) permeability and electrical conductivity, and the three‐dimensional pore networks are represented by diluted simple‐cubic lattices of different average coordination numbers and broadness of a positively skewed pore size distribution. The prediction of the critical path analysis is good for small coordination numbers as the flow is largely through resistances in series and it diverges from the correct permeability–electrical conductivity relationship as the coordination number increases, especially for moderate broadness of the pore size distribution. The critical path analysis is also applicable to the relationships between other transport properties, for example, molecular and Knudsen diffusivities, and also to various pore shapes, other then cylindrical and slit‐shaped, referred to in this study.
Tapping into the Internet as an Acoustical/Musical Medium

Network audio technology transforms advanced networks into a new kind of sound propagation medium, with its own properties compared to air, water, or solids. Three areas of research are described: 1) methods for using your ears for monitoring quality-of-service (QoS) of networks supporting high-quality, real-time, interactive, bidirectional flows; 2) new musical practices being made in the medium; and 3) a discussion of human factors affected by some unique acoustical properties of the medium.
ON LOCALLY CONFORMALLY FLAT GRADIENT STEADY

In this paper, we classify n -dimensional ( n ≥ 3) complete non-compact locally conformally ﬂat gradient steady solitons. In particular, we prove that a complete noncompact nonﬂat locally conformally ﬂat gradient steady Ricci soliton is, up to scaling, the Bryant soliton.
Habitat characteristics, population structure, distribution, and regeneration status of Taxus wallichiana in South Vietnam

Abstract. Hop NV, Xiong CC, Quy NV, Luong NT. 2023. Habitat characteristics, population structure, distribution, and regeneration status of Taxus wallichiana in South Vietnam. Nusantara Bioscience 15: 179-188. Taxus wallichiana Zucc. is an endangered plant species with high economic value, making it threatened to extinction. Biological information about this species is therefore essential for its conservation. This study is aimed to assess the habitat characteristics, population structure, distribution, and regeneration status of T. wallichiana in South Vietnam. Vegetation surveys were conducted from 2016 to 2021 in three regions in Lam Dong Province. The study revealed that it was distributed in regions with monsoon climate with a total extent of ? 379.57 ha, with habitats located on the hillside, narrow shelves, dissected terrain, high slope, on feralite soil with light brown to yellow, red, the soil layer thickness over 0.3 m and in clusters or streaks. The study recorded 634 trees with a diameter at breast height (DBH)? 25 cm and 137 trees with 6 cm ? DBH<25 cm. The trees were found primarily at 1401-1500 m above sea level in a mixed broadleaved-coniferous forest. The growth indicators of DBH and overall height (Hvn) developed strongly, but the stand volume was low owing to low tree density. The exponential function was the most suitable for simulating the relationship between Hvn and DBH. Seven thousand six hundred and seventy-three regenerating young individuals were recorded with low density. The density of the regenerating trees decreased as the tree height increased. The finding of this study suggests that T. wallichiana faces the danger of extinction, so solutions are required to conserve and develop this threatened species.
Simultaneous thermospheric observations during the geomagnetic storm of April 2002 from South Pole and Arrival Heights, Antarctica

Simultaneous ground‐based optical measurements of the response of the thermosphere to the geomagnetic storm of April 2002 were made at South Pole (90°S) and Arrival Heights (78°S). Large meridional and zonal winds were observed, with values reaching 600 m/s. The kinetic temperature during the storm showed an increase nearly 3‐fold from the normal values during the time of peak wind, while the emission of the 630 nm increased over 20‐fold. Simulation of the storm with the TIME‐GCM model, including low energy electron precipitation observed by the DMSP satellites, shows good agreement with the measurements. Without low energy electron precipitation, the model simulation underestimates the kinetic temperature and emission.
Climate variability and maize yield in South Africa

"M aize is the primary food staple in southern Africa, and 50 percent of the total maize output in the area is produced in South Africa, where maize constitutes approximately 70 percent of grain production and covers 60 percent of the country's cropping area. Climate change could have a significant impact on South African maize production. The scientific community has established that the temperature in South Africa increased significantly between 1960 and 2003 (by 0.13 degrees Celsius), and further temperature increases and changes in the quantity and pattern of rainfall are expected despite any attempts by the international community to reduce greenhouse gas emissions. Although the maize plant is quite hardy and adaptable to harsh conditions, warmer temperatures and lower levels of precipitation could have detrimental effects on yields, thereby increasing food insecurity in the region. This brief is based on a paper that uses household survey data to explore the direct impact of climate variability, measured by changes in temperature and precipitation, on maize yields in the Limpopo Basin of South Africa. " from authors' abstract
Asynchronous Learning: Technology and Pedagogical Strategy in a Distance Learning Course

The development of new instructional technologies has produced an explosion in the proliferation of distance learning courses and programs. This paper examines one mode of distance learning known as asynchronous learning networks (ALNs). Based on his experience teaching a sociology course using ALNs, the author discusses some of the pedagogical principles and practices that can guide this delivery mode. He argues that asynchronous on-line instruction provides the opportunity for the realization of highly desirable pedagogical practices and processes that are difficult if not impossible in a conventional classroom course