Miracle-dz/UniFAR-FTUs huggingface dataset:
Classroom Curricular Preparedness For Inclusion Of Pupils With Physical Disability Within Public Inclusive Schools For The Pupils With Physical Disability In Bungoma County, Kenya.

Since the introduction of Special education in Kenya in 1946, numerous special schools have been established. However, there has been a move toward integration and later inclusion of students with disabilities in regular schools. Inclusion has its own challenges. Kenya, as a rapidly developing country, is undergoing drastic social, economic and cultural changes. Consequently, learners with disabilities in inclusive schools experience a number of challenges. These challenges bring into focus the need of reinforcing various modifications especially in classroom environments in learning institutions to counteract challenges brought about by the change from integration to inclusive education. With this realization, the study sought to examine the classroom curricular preparedness of inclusive schools for the pupils with physical disability. Adaptations that ought to be made under classroom curricular category should ideally aid in lessening these challenges and impact positively on the pupils with physical disability and enhance their learning activities. The study utilized mixed method research approach, where both Phenomenology and Descriptive survey research designs were made use of. The findings indicate that there are adequate classroom curricular adaptations for inclusion of pupils with physical disability
Some aspects of soil moisture control for soils with shallow groundwater levels

The problem of soil moisture control for soils with shallow groundwater levels is analysed. Both steady and unsteady state soil moisture models of the unsaturated zone with an analytical exponential unsaturated hydraulic conductivity function are considered. The long-term and short-term soil moisture control problems are stated. Examples of control theory applications under field conditions are also presented.
Nationwide airborne laser scanning based models for volume, biomass and dominant height in Finland.

The aim of this study was to examine how well stem volume, above-ground biomass and dominant height can be predicted using nationwide airborne laser scanning (ALS) based regression models. The study material consisted of nine practical ALS inventory projects taken from different parts of Finland. We used field sample plots and airborne laser scanning data to create nationwide and regional models for each response variable. The final models had one or two ALS predictors, which were chosen based on the root mean square error (RMSE), and cross-validated. Finally, we tested how much predictions would improve if the nationwide models were calibrated with a small number of regional sample plots. Although forest structures differ among different parts of Finland, the nationwide volume and biomass models performed quite well (leave-inventory-areaout RMSE 22.3% to 33.8%, mean difference [MD] –13.8% to 18.7%) compared with regional models (leave-plot-out RMSE 20.2% to 26.8%). However, the nationwide dominant height model (RMSE 5.4% to 7.7%, MD –2.0% to 2.8%, with the exception of the Tornio region – RMSE 11.4%, MD –9.1%) performed nearly as well as the regional models (RMSE 5.2% to 6.7%). The results show that the nationwide volume and biomass models provided different means than real means at regional level, because forest structure and ALS device have a considerable effect on the predictions. Large MDs appeared especially in northern Finland. Local calibration decreased the MD and RMSE of volume and biomass models. However, the nationwide dominant height model did not benefit much from calibration.
Measure on dependent structure of financial markets under international diversification with application to emerging markets of the BRIC

s Analysis of the emerging financial markets dependent structure in the BRIC countries under international diversification is of great significance to multidimensio nal distribution assets. Considering the difficulty of the high-dimensional modeling,vine Copula will be used to mearsure the financial markets dependent structure.Then, the dependent structure of the BRIC stock markets are studied by vine Copula.From the results,the international diversification is the inevitable choice to conform to the capital international trend, and the BRIC stock markets can be used as the preferred markets in terms of the international diversified investment owing to the low correlation among them.
Socialización organizacional anticipatoria y su relación con las actitudes y conductas de los opositores al Cuerpo Nacional de Policía

espanolEl objetivo principal del presente trabajo es analizar las relaciones entre los recursos externos y los recursos per­sonales de los participantes en procesos de oposicion para la Policia Nacional y sus actitudes y comportamientos en relacion con el referido proceso de preparacion. En el es­tudio participo una muestra de 130 opositores a la Policia Nacional de Espana. Los hallazgos muestran que la socia­lizacion relativa a la historia de la organizacion y las creencias de autoeficacia pronostican el compromiso con la preparacion, mientras que la socializacion relativa al lenguaje de la organizacion pronosticaba el desempeno excelente de los participantes en la oposicion. Ademas, el optimismo pronostica el estres, y el apoyo social, el opti­mismo y la autoeficacia pronostican la satisfaccion. Los resultados se discuten de cara a sus implicaciones practi­cas, orientadas a sugerir mejoras en los procesos formati­vos de los aspirantes a futuros policias nacionales. EnglishThe main aim of this paper was to analyze the relationships between external resources and personal resources of participants during their process to pass the Estate Exam for the National Police and the results related to their attitudes and behaviors in relation to the same preparation process. In the study, a sample of 130 candidates to enter the National Police from all over Spain participated. The findings show that socialization related to organizational history and self-efficacy beliefs predict commitment to the preparation process, optimism predicts experienced stress, social support, and optimism together with self-efficacy predict satisfaction and, finally, the anticipatory socialization relative to the language of the organization predicted the excellent performance of the participants. The results are discussed in terms of their practical implications.
From positive PDL to its non-classical extensions

We provide a complete binary implicational axiomatization of the positive fragment of propositional dynamic logic (PDL). The intended application of this result are completeness proofs for non-classical extensions of positive PDL. Two examples are discussed in this article, namely, a paraconsistent extension with modal De Morgan negation and a substructural extension with the residuated operators of the non-associative Lambek calculus. Informal interpretations of these two extensions are outlined.
Low-field magnetic circular dichroism in silver and gold colloidal nanoparticles of different sizes, shapes, and aggregation states

Considerable magneto-optical activity has been observed in aqueous solutions of colloidal noble metal nanoparticles (Au and Ag, 2–50 nm in diameter) in a magnetic field as low as 0.5 T parallel to the propagation of the incident light exciting localized surface plasmons in the nanoparticles. The magnetic circular dichroism (MCD) spectra show pronounced Zeeman splitting in the plasmon absorption bands. The observed magneto-optical effects is due to the enhancement of the magnetic Lorentz force for localized surface plasmons in resonantly excited strongly polarizable Ag and Au nanoparticles. The magnitude and the spectral position of the MCD signal depend on the contribution of scattering and absorption components in the extinction spectra of nanoparticles. Addition of pyridine into the colloidal solution of silver nanoparticles causes aggregation of nanoparticles and the appearance of a characteristic intense long-wavelength band in the extinction spectrum. The MCD spectrum also shows signals from short- and long-wavelength components. The possible method for MCD biosensing based on controlled aggregation of plasmonic nanoparticles in the presence of analyte followed by differential MCD detection in the long-wavelength region is discussed.
Learning representations for tweets through word embeddings

In event detection and opinion mining on social media it is important to grasp the semantic meaning of a text post. In this abstract, we present a method to learn effective representations for Twitter posts through a combination of word embeddings and word frequency information. We design a semantic similarity task between tweet couples and a novel loss function to train our model. We test it on a manually crafted dataset of tweets, and we find that our method outperforms the traditional baselines.
Research on Web Based Information Importance Ranking Algorithm for Marine Big Data

Research on web based information of the marine big data, has always been a vital part of marine big data information platform. However, it is difficult to find the web information of marine big data, for its massive amount and overbroad extent. Faced with this issue, it is not enough to use the PageRank algorithm alone. Based on the basic characteristics of marine big data pages, we use the PageRank algorithm for reference, and improves its relevance, authority and anti-cheating in this paper. Finally, we purpose a Web based information importance ranking algorithm for marine big data, the Marine Information PageRank (MIPR) algorithm. Experimental results on data sets of marine big data web pages show that, the Marine Information PageRank (MIPR) algorithm has a much better performance of web based information importance ranking algorithm for marine big data, than the PageRank algorithm.
Trade and Poverty in South Africa: Exploring the Trade-Labour Linkages

Abstract An important mechanism through which trade affects poverty is through its impact on employment. This paper explores the relationship between trade, employment and technological change in South Africa using correlation analysis, a decomposition analysis and the estimation of an induced labour demand model using industry panel data. We find little correlation between employment changes and changes in protection or trade flows, but find a bias in tariff reductions towards labour-intensive sectors. Manufacturing trade flows have also been biased against labour-intensive sectors, but the net effect of trade on employment is close to zero or positive once indirect effects are included. The majority of employment change is attributed to technological change. We find little evidence that this technological change has been induced by increased openness.
28-HOMOCASTASTERONE: A NOVEL DIETARY PHYTO KETO OXYSTEROL MODULATING TESTICULAR STEROID METABOLISM AND LxR mRNA EXPRESSION IN DIABETIC RAT

Objective: Present study aims to investigate 28-homocastasterone (28-HC) influences on testicular tissue in the normal and diabetic rat. Methods: Induction of diabetes was achieved by single peritoneal injection of streptozotocin (60 mg/kg b. wt) followed by 28-HC (100 µg/150 gm body weight) administration by oral gavage for 15 consecutive days to experimental rats. 3β-hydroxysteroid dehydrogenase, 17β-hydroxysteroid dehydrogenase activities, testosterone level, Liver X Receptor (LxR) mRNA expression, malondialdehyde (MDA), reduced glutathione (GSH) and testis histology was analysed. Results: Increased cholesterol level, 3β-hydroxysteroid dehydrogenase (3βHSD), 17β-hydroxysteroid dehydrogenase (17βHSD) activities, testosterone level with significant elevation of LxR-α and β mRNA expression in treated rat testis. A significant reduction found inMDA and increased reducedGSH along with improved testicular architecture was observed. Conclusion: In the present study demonstrated that 28-HC induced 3βHSD, 17βHSD enzyme activity and testosterone level, thus indicative of steroidogenic potential and capable of transactivating LxR-α and β molecular operative in rat testicular tissue.
Variation and Driving Factors of Water Discharge and Sediment Load in Different Regions of the Jinsha River Basin in China in the Past 50 Years

The Jinsha River is the main source of sediment in the Yangtze River Basin. The variation of water discharge and sediment load not only affects the operation of the cascade reservoirs in the basin but also change the water and sediment conditions into the Three Gorges Reservoir. The Jinsha River Basin is divided into six regions based on the measured data of hydrological stations. Herein, the variation regularity and driving factors of water discharge and sediment load in the Jinsha River Basin are analyzed in the past 50 years using the Mann–Kendall and Rank Sum Test. Results show that the source of water and sediment in the Jinsha River Basin is different, and the abrupt and trend changes of water discharge and sediment load in different regions are evident different. Changes in precipitation, water and soil conservation projects, and the construction of reservoirs are the main driving factors of sediment load variation. The average annual sediment reduction load in the Jinsha River from 1998 to 2015 is approximately 99.57 × 106 t/y, of which the contributions of water discharge change and human activities to sediment load are 18.9% and 81.1%, respectively. The reduction of sediment load in the Jinsha River Basin can result in evident decrease in the sedimentation of cascade reservoirs, erosion of the downstream channel of the river, and considerable reduction of sediment load into the Three Gorges Reservoir.
Role of land surface processes and diffuse/direct radiation partitioning in simulating the European climate

Abstract. The influence of land processes and in particular of diffuse/direct radiation partitioning on surface fluxes and associated regional-scale climate feedbacks is investigated using ERA-40 driven simulations over Europe performed with the COSMO-CLM2 Regional Climate Model (RCM). Two alternative Land Surface Models (LSMs), a 2nd generation LSM (TERRA_ML) and a more advanced 3rd generation LSM (Community Land Model version 3.5), and two versions of the atmospheric component are tested, as well as a revised coupling procedure allowing for variations in diffuse/direct light partitioning at the surface, and their accounting by the land surface component. Overall, the RCM performance for various variables (e.g., surface fluxes, temperature and precipitation) is improved when using the more advanced 3rd generation LSM. These improvements are of the same order of magnitude as those arising from a new version of the atmospheric component, demonstrating the benefit of using a realistic representation of land surface processes for regional climate simulations. Taking into account the variability in diffuse/direct light partitioning at the surface further improves the model performance in terms of summer temperature variability at the monthly and daily time scales. Comparisons with observations show that the RCM realistically captures temporal variations in diffuse/direct light partitioning as well as the evapotranspiration sensitivity to these variations. Our results suggest that a modest but consistent fraction (up to 3 %) of the overall variability in summer temperature can be explained by variations in the diffuse to direct ratio.
Yet another model of design synthesis

While a considerable amount of research effort is spent on design theory and methodology, we do not have a clear, uniform theory that can explain design synthesis universally and uniformly. This can mean that such a theory either is yet to be established or does not exist. From the viewpoint of the latter, this paper examines a variety of design theory and methodology and argues that indeed such a theory has not yet been found. In order to clarify positioning of existing design theory and methodology, we first give their classification based on General Design Theory. We then focus on socalled candidate generation process which is considered the core of design synthesis and identify models and theories including simple solution generation and test, backward reasoning, database lookup, search in a problem space, abduction, generative rules, case-based reasoning, grammar production, computational models, parametric search/generation, constraint-solving, and genetic algorithm. However, none of these does not give sufficiently general, universal, or uniform explanations about design synthesis, although each of them does fragmentally in a limited scope and case. This paper proposes a new model of design synthesis as collaborative, flexible use of fragmental theories, in a way similar to intelligent collaborative agent architecture. Finally the paper also presents its implications to systems integration aspects of multi-disciplinary product development.
L-Cysteine Determination in Embryo Cell Culture Media using Co (II)-phthalocyanine Nanoparticle Modified Disposable Screen-printed Electrodes

a Institute of Electrochemistry, University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain b Physical Chemistry Department, University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain c Faculty of Science and Engineering, School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, Chester Street, Manchester M1 5GD UK
Existing techniques in Arabic Characters Recognition (ACR)

Text or handwritten document writing recognition or understanding through characters whether online or off-line play an important role in many applications, e.g. recognizing text on bank cheques, editing old documents or translating online writing. The Arabic language characters recognition in Arabic text (hand written and printed text) is a challenging job, which is addressed by researchers in two different domains, i.e. online and off-line. The challenges are due to the cursive nature of the Arabic language. The approaches designed and adopted to achieve the target of Arabic characters recognition are also broadly classified into two, i.e. with segmentation and without segmentation. Machines can easily classify the characters if they are properly presented to it. The aim of this paper is to review critically state-of-the-art and to highlight the drawbacks in recent Arabic character recognition (ACR) for realization of the needs for robust online or off-line character recognition. This paper will properly enlighten the way for new researchers to improve or overcome the problems faced by previous studies and in addition provide a brief summary of ACR databases.
In vitro plant regeneration from Turkish Narbon Vetch ( Vicia narbonensis L. var. narbonensis L. )

Narbon vetch (Vicia narbonensis L.) is an important forage species among vetches of central Europe, Mediterranean, Near East, Ethiopia, central Asia and India. The study reports in vitro micropropagation of narbon vetch using cotyledon node, shoot tip and zygotic embryo explants on MS medium containing 0.25, 0.50, 0.75 and 1.00 mg/l BAP. The highest number of 4.42 shoots was recorded on cotyledon node explants, which was followed by significantly reduced number of 3.40 and 3.54 shoots per explant on shoot tip and zygotic embryo with two cotyledons, respectively. Zygotic embryo with two cotyledons explant was recalcitrant and slow in regeneration compared to other explants but any concentration of BAP was sufficient for multiple shoot regeneration. Shoot length decreased statistically with increase in each concentration of BAP in the regeneration medium. 65.0% shoots rooted on MS medium containing 0.5 mg/l IBA and newly regenerated plants were acclimatized in the greenhouse.
Tunnel Magnetoresistance in Self-Assemblies of Exchange-Coupled Core/Shell Nanoparticles

We report the precise control of tunneling magnetoresistance (TMR) in devices of self-assembled core/shell Fe$_3$O$_4$/Co$_{1-x}$Zn$_x$Fe$_2$O$_4$ nanoparticles ($0\leq x\leq 1$). Adjusting the magnetic anisotropy through the content of Co$^{2+}$ in the shell, provides an accurate tool to control the switching field between the bistable states of the TMR. In this way, different combinations of soft/hard and hard/soft core/shell configurations can be envisaged for optimizing devices with the required magnetotransport response.
Effect of intensity of cost stickiness on stock price volatility as the role of accounting conservatism

Managers need the related information about costs to plan and achieve it. On the other hand, awareness about costs behavior by changes of the activity level or selling level are important information for managers’ decision making about planning, budgeting, pricing products, determining of break even, and other managerial issues. The relationship between costs stickiness and stock price volatility and adjusting role of conservatism was studied in Tehran stock Exchange in this research. Statistical population and sample of this research includes 93 companies in seven years of 2009-2015. This research was applied based on its objective, and data collection method (research design) was descriptive. Hypotheses of this research were test using combined and rolling regression method. There is not a significant relationship between cost stickiness and stock price volatility based on research results, but there is a positive and significant relationship between cost stickiness in companies with high conservatism and stock price volatility.
Transfer pricing and the Czech tax policy.

The Czech Republic as a small open economy with an extensive network of the international tax treaties for the avoidance of the double taxation prevents from shifting the tax base of the associated enterprises to countries with preferential tax regime through transfer pricing rules. Transfer pricing as one of the important areas of international taxes determines how the profits of the multinational enterprises are split between the jurisdictions in which they operate and which countries get to tax those profits. This situation may affect the global budget of the multinational enterprises and the tax reve­nues of the jurisdictions. This paper is focused on the transfer pricing rules used in the Czech Republic and makes recommendations for the Czech tax policy in this area based on the analysis of the transfer pricing rules in the EU Member States.
A new estimation of the decay of aftershock density with distance to the mainshock

[1] We investigate how aftershocks are spatially distributed relative to the mainshock. Compared to previous studies, ours focuses on earthquakes causally related to the mainshock rather than on aftershocks of previous aftershocks. We show that this distinction can be made objectively but becomes uncertain at long time scales and large distances. Analyzing a regional earthquake data set, it is found that, at time t following a mainshock of magnitude m, the probability of finding an aftershock at distance r relative to the mainshock fault decays as r −g , where g is typically between 1.7 and 2.1 for 3 ≤ m <6 and is independent of m, for r less than 10 to 20 km and t less than 1 day. Uncertainties on this probability at larger r and t do not allow for a correct estimation of this spatial decay. We further show that a static stress model coupled with a rate‐and‐state friction model predicts a similar decay, with an exponent g = 2.2, in the same space and time intervals. This suggests that static stress changes could explain the repartition of aftershocks around the mainshock even at distances larger than 10 times the rupture length. Citation: Marsan, D. , and O. Lengline (2010), A new estimation of the decay of aftershock density with distance to the mainshock, J. Geophys. Res., 115, B09302, doi:10.1029/2009JB007119.