Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation de l'état des systèmes non linéaires à temps discret. Application à une station d'épuration

Ce sujet de recherche revet, d'une part, un caractere theorique puisqu'il aborde le probleme d'estimation des systemes singuliers lineaires et non lineaires a temps discret pour lesquels tres peu de resultats sont disponibles et, d'autre part, un aspect pratique, car le modele utilise est d'une station d'epuration des eaux usees a boues activees. Dans la partie theorique, nous nous sommes interesses, dans un premier temps, a l'estimation d'etat des systemes singuliers lineaires en utilisant l'approche d'estimation a horizon glissant. Deux estimateurs optimaux, au sens des moindres carres et au sens de la variance minimale, ont ete presentes. L'analyse de la convergence et de la stabilite de ces estimateurs est traites. Ensuite, nous avons presente une approche pour l'observation de la classe des systemes non lineaires lipschitziens a temps discret. En supposant que la partie lineaire de cette classe de systemes est variante dans le temps, le probleme de l'estimation d'etat d'un systeme non lineaire est transforme en un probleme d'estimation d'etat d'un systeme LPV. La condition de stabilite de l'observateur propose est exprimee en terme d'inegalites matricielles lineaires (LMI). Enfin, dans la partie pratique, les resultats obtenus sont valides par une application a un modele d'une station d'epuration des eaux usees a boues activees.
Robinson-Trautman solution with scalar hair

Explicit Robinson-Trautman solution with minimally coupled free scalar field is derived and analyzed. It is shown that this solution contains curvature singularity which is initially naked but later the horizon envelopes it. We use quasilocal horizon definition and prove its existence in later retarded times using sub- and supersolution method combined with growth estimates. We show that the solution is generally of algebraic type II but reduces to type D in spherical symmetry.
An Algorithm For Finding the Optimal Embedding of a Symmetric Matrix into the Set of Diagonal Matrices

We investigate two two-sided optimization problems that have their application in atomic chemistry and whose matrix of unknowns $Y\in\R^{n\times p}$ ($n\ge p$) lies in the Stiefel manifold. We propose an analytic optimal solution of the first problem, and show that an optimal solution of the second problem can be found by solving a convex quadratic programming problem with box constraints and $p$ unknowns. We prove that the latter problem can be solved by the active-set method in at most $2p$ iterations. Subsequently, we analyze the set of the optimal solutions of both problems, which is of the form of $\mathcal{C}=\{Y\in\R^{n\times p}:Y^TY=I_p, Y^T\Lambda Y=\Delta\}$ for $\Lambda$ and $\Delta$ diagonal and we address the problem how an arbitrary smooth function over $\mathcal{C}$ can be minimized. We find that a slight modification of $\mathcal{C}$ is a Riemannian manifold for which geometric objects can be derived that are required to make an optimization over this manifold possible. By using these geometric tools we propose then an augmented Lagrangian-based algorithm that minimizes an arbitrary smooth function over $\mathcal{C}$ and guarantees global convergence to a stationary point. Latter is shown by investigating when the LICQ (Linear Independence Constraint Qualification) is satisfied. The algorithm can be used to select a particular solution out of the set $\mathcal{C}$ by posing a new optimization problem. Finally we compare this algorithm numerically with a similar algorithm that, however, does not apply these geometric tools and that is to our knowledge not guaranteed to converge. Our results show that our algorithm yields a significantly better performance.
Tracer Study of BSEd Graduates of Palawan State University, Roxas Campus from 2015 to 2019

This study provided the answers to the following questions regarding the demographic profile of the respondents, the educational background of the graduates in terms of post-graduate studies and professional examination, the employment characteristic, the Extent of use of skills in employment, and the suggestions of the graduates in improving the services, facilities and learning environment of PSU-Roxas Campus. The researchers used qualitative design in tracing graduates of Bachelor of Secondary Education major in Social Studies. Qualitative research is a suitable method for tracer study; it is used for collecting data on the graduates, their employability status, educational background, and even their demographic profile. Notably, all of the skills being taught by the university are Very Useful in the employment of the graduates. In general, the graduates' acquired skills in the PSU Campus that are very useful in their employment. This implies that PSU-Roxas Campus trained and produce skilled BSEd graduates.
PRODUCTION OF TROPANE ALKALOIDS IN Atropa belladonna L. USING CELL CULTURE TECHNIQUE .

A promising protocol for enhancement of total alkaloids production from cell cultures of A. belladonna L. was established. The effect of MS-medium supplemented with different concentrations from 2,4-D and Kin or NAA and BA on both of growth parameters as well as total alkaloids production were investigated. The effect of various concentrations of phenylalanin and ornithine as a precursors of alkaloids accumulation were studied. The optimum value of cell growth parameters and alkaloids production were obtained from leaf, stem and root cell cultures, respectively. The most effective supplementations to liquid MS-medium (Murashige and Skoog,1962) were 1 mg/l from each of NAA and BA. Phenylalanine at 20 mg/l gave the highest value of cell growth and alkaloids accumulation in the different types of cell cultures. Total alkaloids of different types cultures were identified using HPLC.
Improving entity linking with two adaptive features

Entity linking (EL) is a fundamental task in natural language processing. Based on neural networks, existing systems pay more attention to the construction of the global model, but ignore latent semantic information in the local model and the acquisition of effective entity type information. In this paper, we propose two adaptive features, in which the first adaptive feature enables the local and global models to capture latent information, and the second adaptive feature describes effective information for entity type embeddings. These adaptive features can work together naturally to handle some uncertain entity type information for EL. Experimental results demonstrate that our EL system achieves the best performance on the AIDA-B and MSNBC datasets, and the best average performance on out-domain datasets. These results indicate that the proposed adaptive features, which are based on their own diverse contexts, can capture information that is conducive for EL.
A study on the impact of EU membership on Sino-CEEC trade in the context of the 17+1 cooperation mechanism

This study examines trade relations between the 17 Central and Eastern European countries (CEEC) and China, which are members of the 17+1 Cooperation mechanism. Given that some CEECs are not members of the European Union, while others are, this study aims to examine the impact of EU membership on their trade relations with China. The analysis of the data shows that countries that are EU members tend to have a larger volume of trade, as well as a larger range of products that are traded. In contrast, higher growth rates of trade between non-EU CEEEs and China could indicate that EU membership is hampering Sino-CEEC trade. Finally, econometric analysis, based on the gravity model, suggests that EU membership has a positive and significant contribution to Sino-CEEC trade.
Modelling the surface roughness of steel after laser hardening by using 2D visibility network, convolutional neural networks and genetic programming

The surface characterization of materials after Robot Laser Hardening (RLH) is a technically demanding procedure. RLH is commonly used to harden parts, especially when subject to wear. By changing their surface properties, this treatment can offer several benefits such as lower costs for additional machining, no use of cooling agents or chemicals, high flexibility, local hardening, minimal deformation, high accuracy, and automated and integrated process in the production process. However, the surface roughness strongly depends on the heat treatment and parameters used in the process. This article used a network theory approach (i.e., the visibility network in 2D space) to analyze the surface roughness of tool steel EN100083-1 upon RLH. Specifically, two intelligent methods were merged in this investigation. Firstly, a genetic algorithm was applied to derive a relationship between the parameters of the robot laser cell and topological surface properties. Furthermore, convolutional neural networks allowed the assessment of surface roughness based on 2D photographic images.
RESPONSE OF YOUNG WASHINGTON NAVEL ORANGE TREES GROWN ON SLIGHTLY ALKALINE CLAYEY SOIL TO FOLIAR APPLICATION OF CHELATED MICRONUTRIENTS

The present investigation was carried out during 1997/98 and 1998/99 seasons at the Experimental Farm of Sakha Agricultural Research Station on young Washington Navel orange trees (4-5-years old), where the soil is classified as alluvial clayey soil with slight alkalinity to study the response of young orange trees to EDTA micronutrients (Fe, Mn & Zn) foliar application alone or in combination. The results showed a pronounced increase in leaf N, K, Fe, Mn and Zn content, while that of P was not significantly affected. Leaf chlorophyll content, plant growth (as indexed by TCSA, GR%, VI and LA) and reproductive growth (as indexed by flowering, fruit set %, fruiting %) have responded well, while preharvest drop and June drop had reduced. Remarkable increase of yield as kgs or fruit number was also observed, especially with (Zn + Mn) treatment. Fruit quality expressed as fruit weight, TSS %, total acidity % and juice volume had improved, while vit.C and peel thickness were not affected by micronutrients as foliar sprays. Zn + Mn treatment gave better results in both seasons.
Machine learning based prediction of rail transit signal failure: A case study in the United States

Signals are an important part of the urban rail transit system. Signals being in functioning condition is key to rail transit safety. Predicting rail transit signal failures ahead of time has significant benefits with regard to operating safety and efficiency. This paper proposes a machine learning method for predicting urban rail transit signal failures 1 month in advance, based on records of past failures and maintenance events. Because signal failure is a relatively rare event, imbalanced data mining techniques are used to address its prediction. A case study based on data provided by a major rail transit agency in the United States is developed to illustrate the application of the proposed machine learning method. The results show that our model can be used to identify approximately one-third of signal failures 1 month ahead of time by focusing on 10% of locations on the network. This method can be used by rail transit agencies as a risk screening and ranking tool to identify high-risk hot spots for prioritized inspection and maintenance, given limited resources.
Measurements of sub-surface bubble populations and the modelling of air-sea gas flux

Bubbles, formed by breaking waves, play an important role in the transfer of gases between the Earth’s oceans and atmosphere and have been shown to increase the flux of gases during periods of heightened sea state. Having been formed, these bubble clouds evolve through the effects of buoyancy, gas exsolution and dissolution, and the fragmentation and coalescence of bubbles. A number of experimenters have successfully measured sub-surface bubble clouds using a variety of acoustic and optical techniques, although data over a wider range of bubble radii are required for fuller comparison with models of how these clouds evolve and contribute to air-sea transfers of mass, momentum and energy. This study details the design of an acoustic system deployed on an 11 metre spar buoy during two sea trials in the Atlantic Ocean. Through the measurement of the additional attenuation due to bubbles, bubble size distributions were inferred over the broadest range of bubble radii ever measured using active acoustics in the open ocean. The volumetric backscatter strength from the bubble clouds were also measured to gain a profile of these bubble populations. A gas transfer model was then developed, with the measured data used as an input to calculate the associated fluxes. With this method, bubble-mediated transfer velocities and equilibrium supersaturations were found for the first time based on experimental work. These parameters aid the characterisation of air-sea gas transfer and therefore help improve the accuracy of existing climate models.
Effect of Yoga on Postpartum Depression: A Randomized controlled trial

: Purpose: This study was conducted to explore the impact of yoga on postpartum depression. Subjects: Forty primipara women with postpartum depression (PPD). Their ages were extended from 20-35 years old. Their body mass index was less than 30 kg/m². Women scores within the Zung scale extended from 50-69 (moderate depression). Design: Design of this study was experimental study (two groups pre-test post-test) Randomized controlled trial. Group A (Control group): It comprised of 20 women and treated by antidepressant drugs as it were for 12 weeks. Group B (Study group): It consisted of 20 women and treated by the same antidepressant drugs as in group A and yoga program. Methods: BMI was surveyed with standard weight-height scale and depression was evaluated with Zung self-rating depression scale before and after treatment for both groups A & B. Results: The results of this study revealed that there was noteworthy diminish within the Self Depression Scale (SDS) of both groups A & B post-treatment differentiate with pre-treatment (P = 0.0001) with rate of diminish 9.53% and 16.68% respectively. Between groups, there was no significant distinction within the SDS between both groups A and B pre-treatment (P = 0.42). Whereas post-treatment; there was noteworthy difference within the SDS between both groups A & B (More diminish in group B) (P = 0.001). Conclusion: It can be concluded that yoga is successful strategy in treatment of postpartum depression.
An Evolutionary Framework of Acanthaceae Based on Transcriptomes and Genome Skims

Abstract Acanthaceae is a family of tropical flowering plants with approximately 4900 species. Despite remarkable variation in morphological traits, research on patterns of character evolution has been limited by uncertain relationships among some of the major lineages. We sampled 16 taxa from these major lineages to estimate a phylogenomic framework using a combination of five newly sequenced shotgun genome skims plus seven new and four publicly available transcriptomes. We used OrthoFinder2 to infer a species tree with strong branch support. Except for the placement of Crabbea, our results corroborate the most recent chloroplast and nrITS sequence-based topology. Of 587 single copy loci, 10 were recovered for all 16 species; a RAxML tree estimated from these 10 loci resulted in the same topology as other datasets assembled in this study, with the exception of relationships among three sampled species of Barleria; however, branch support was lower compared to the tree reconstructed using more data. ABBA-BABA tests were conducted to investigate patterns of introgression involving Crabbea; few nucleotides supported alternative topologies. SplitsTree networks of the 587 loci and 6136 orthogroup trees revealed conflict among the branches leading to Andrographideae, Whitfieldieae, and Neuracanthus. A principal components analysis in treespace found no distinct clusters of trees. Our results based on combined genome skim and transcriptome sequences strongly corroborate the previously published chloroplast and nr-ITS-based phylogeny of Acanthaceae with increased resolution among Barlerieae, Andrographideae, Whitfieldieae, and Neuracanthus. This advance in our knowledge of Acanthaceae relationships will allow us to investigate character evolution and other phenomena within this diverse group of plants in studies with increased taxon sampling.
Assessment of a Fenton Reaction in treating Greywater for reuse in Irrigation

Greywater is considered a new water resource because of water scarcity all over the world. Thus collecting, treating, and reusing it safely is critical for protecting the environment from any hazard. As a common application of greywater reuse, irrigation includes specific characteristics of the water that need to adapt a grey wastewater treatment technology. In this paper, an advanced oxidation process based on Fenton's reaction was used to evaluate the greywater treatment efficiency by testing specific parameters before and after oxidization and determining the optimum chemical ratio between iron salts (ferrous sulfate) and Hydrogen peroxide (Fe2+/H2O2) and the optimum retention time to reach the permissible limits according to the ECP, 501-2005 (Egyptian Code No. 501 of the year 2005). An experimental model including three glass tanks with dimensions of 30×30×50 cm was established. The model consisted of a primary sedimentation tank to allow total suspended solids to settle, followed by a tank for chemical treatment with Fenton’s reagent where iron salts of 0.3 gm per liter and hydrogen peroxide with four different doses were added representing chemical ratios between Fe2+/H2O2 of 1:3, 1:4, 1:5, and 1:6 to determine the highest efficiency of the reaction, then followed by the collecting tank. From the obtained results, it was concluded that the optimum chemical ratio of Fe2+/H2O2 is 1:5 for a retention time of 30 minutes to achieve the permissible limits of the treated greywater to be reused in irrigation according to the ECP.
Multiplier Convergent Series

Basic Properties of Multiplier Convergent Series Applications of Multiplier Convergent Series The Orlicz-Pettis Theorem Orlicz-Pettis Theorems for Strong Topology Orlicz-Pettis Theorems for Linear Operators The Hahn-Schur Theorem Spaces of Multiplier Convergent Series and Multipliers The Antosik Interchange Theorem Automatic Continuity of Matrix Mappings Operator-Valued Series and Vector-Valued Multipliers Orlicz-Pettis Theorems for Operator-Valued Series Hahn-Schur Theorems for Operator-Valued Series Automatic Continuity for Operator-Valued Matrices.
Performance evaluation of blind channel estimation using a frequency domain base-band communication model

A frequency domain approach for evaluating estimation bounds (Cramer-Rao bounds) of base-band communication channel model parameters is presented. It is assumed that the estimation process uses 2/sup nd/ order statistics of an over-sampled signal with the exploitation of signal cyclostationary properties. The described frequency domain approach provides useful insight into the channel estimation problem and is independent of the adopted parameter estimation technique. Furthermore, the proposed frequency domain technique does not depend on the noise probability density function and could be easily extended for evaluating the estimation performance in the presence of colored noise.
Scattering length of the helium-atom-helium-dimer collision (4 pages)

We present our recent results on the scattering length of {sup 4}He-{sup 4}He{sub 2} collisions. These investigations are based on the hard-core version of the Faddeev differential equations. As compared to our previous calculations of the same quantity, a much more refined grid is employed, providing an improvement of about 10%. Our results are compared with other ab initio and model calculations.
Sediment sources and delivery of Norwegian mountain rivers in a changing climate

The projected climate change for Norway through the 21st century predicts that the temperature will increase significantly. Events with heavy rainfall will be more intense and occur more frequently. Rain floods will increase in magnitude and also occur more frequently. Extreme flooding and heavy rain will significantly impact the sediment dynamics in rivers. In the mountain areas, floods are often associated with erosion, transport and deposition of coarse sediment along the streams. These processes are related to bed load transport and pose a hazard in addition to the elevated water discharge and have to be included in management plans for river basins. This article studies the bed load delivery from sources that contribute the most to the sediment budget in the Gudbrandsdalslågen river basin during the large magnitude floods in 2011 and 2013. More than 100 debris slides and debris flow were triggered in the tributary river Veikleåi by the heavy rain and snowmelt during these floods. The volume of the contribution from debris flows and erosion and deposition of the river bed was determined by subtracting digital elevation models acquired during repeated airborne LIDAR surveys. In the river Dørja the supply of sediment from a number of debris flows caused extensive aggradation and channel changes. In their new position, lateral erosion by these channels triggered slides on the adjacent slopes. The contributing volumes of debris flows, lateral erosion, and river bed erosion and deposition were determined from the LIDAR surveys. Relations obtained from studies of sediment transport in modern glacier rivers were used to obtain estimates of the ratio of bed load versus suspended load derived from the Pleistocene moraine deposits. Several monitoring stations using conventional methods for measuring bed load and suspended load recorded very large volumes of sediment delivery during both of the extreme floods. The results of the study may be used to identify necessary locations for check‐dams and erosion protection works in order to adapt to climate change.
The effectiveness of a physiatrist-led acute hospital based postoperative hip fracture inpatient rehabilitation program: A single-center retrospective study

Background Postoperative hip fracture rehabilitation in Singapore has historically been carried out in both acute and community hospitals (CH). An increasing majority of patients with hip fractures now receive inpatient rehabilitation in CH, and it is often believed that Acute hospital (AH) - based rehabilitation may be less cost-effective than their CH counterparts. Objective: This retrospective study aims to review the effectiveness of an AH-based hip fracture postoperative rehabilitation program. Methods This study retrospectively reviewed the database of postoperative hip fracture patients who underwent a physiatrist-led AH-based inpatient rehabilitation from Jan 2010 to Dec 2016. The primary outcomes were the functional improvement assessed by functional independence measure (FIM) and FIM efficiency. The secondary outcome included the length of stay (LOS), successful discharge to home rate, mortality rate, and complication rate. Results A total of 293 cases were included in the study. After participation in the inpatient rehabilitation program, the mean total FIM increased from 83.9 ± 12.7 (mean ± SD) to 93.9 ± 16.2 (p < .001). The motor FIM increased from 47.1 ± 10.9 to 56.1 ± 10.1 (p < .001). 269 (91.8%) patients were successfully discharged home. Inpatient mortality was 0.3% (1/293). The complications rate during inpatient rehabilitation was 16.0% with urinary tract infection being the most frequent complication (10.2%). The median LOS for inpatient rehabilitation was 19 days (15, 28). Conclusions After completing a physiatrist-led postoperative hip fracture inpatient rehabilitation program in an acute hospital, patients demonstrated significant functional improvement (p < .0001). The inpatient rehabilitation program has a high discharge home rate and low in-hospital mortality.