Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

This paper presents the scientific outcomes of the 2018 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. The 2018 Contest addressed the problem of urban observation and monitoring with advanced multi-source optical remote sensing (multispectral LiDAR, hyperspectral imaging, and very high-resolution imagery). The competition was based on urban land use and land cover classification, aiming to distinguish between very diverse and detailed classes of urban objects, materials, and vegetation. Besides data fusion, it also quantified the respective assets of the novel sensors used to collect the data. Participants proposed elaborate approaches rooted in remote-sensing, and also in machine learning and computer vision, to make the most of the available data. Winning approaches combine convolutional neural networks with subtle earth-observation data scientist expertise.
Sickness, insurance and health: Assessing trends in morbidity through friendly society records

Depuis vingt ans, les specialistes d’histoire sociale et d’histoire des populations ont employe bien des methodes pour aborder le probleme de la sante des generations passees. Tandis que de grands efforts etaient consacres a l’analyse des indicateurs anthropometriques, une minorite d’historiens ont utilise les registres des associations mutuelles pour mener des recherches sur divers aspects de la maladie et la morbidite. Dans cet article, nous presentons nos propres recherches sur la sante vecue des membres de la Hampshire Friendly Society, dans le sud de l’Angleterre. Sont abordes : l’effet de facteurs de court terme (epidemies, modification administrative) sur la frequence des demandes d’aide pour cause de maladie ; les differentes titulatures auxquelles devaient se soumettre ces demandes ; les liens entre âge et morbidite. Cette recherche ne fournit qu’un faible soutien a l’idee que la morbidite a âge donne s’est renforcee entre la fin du xixe siecle et le tout debut du xxe. Cependant il est possible que cela se soit produit suite a l’introduction de l’assurance obligatoire en 1911. A ce stade, il est encore impossible de dire si cette augmentation reflete un changement dans les causes de la morbidite ou s’il s’agit d’un effet « culturel » decoulant d’une transformation des comportements face a la maladie.
Experimental study on the scavenging of active oxygen species by flavonoids

The authors studied the antioxidation of five flavonoids (rutin, quercetin, mangiferin, glucoluteolin and glucoeriodictyol) with chemiluminescence. Flavonoids had a significant scavenging effects on active oxygen species (O~(.)_(2)·OH and ~(1)O_(2)). The efficacy of scavenging was related to the pharmaceutical concentration. Antioxidation of flavonoids is related to the 3,7-OH the quantity of used antioxidant must be sufficient in clinical practive.
Ultrafast photoinduced processes in multichromophoric systems

Durant cette these, des techniques spectroscopiques de pointe ont ete utilisees pour etudier des phenomenes ultrarapides de l'ordre de la picoseconde. Parmi ces techniques, la fluorescence resolue dans le temps a ete la plus utilisee en sus de l'absorption transitoire. Les dynamiques de des etats excites de divers systemes moleculaires comportant des chromophores tels que le BODIPY ont pu etre mesurees et comprises grâce a ces techniques. De plus, durant ce travail, de nombreuses ameliorations ont ete apportees au montage experimental de la fluorescence dite « up-conversion », la principale etant le changement de source laser qui permet de varier la longueur d'onde d'excitation de 340 nm a 520 nm, ce qui ouvre de nouvelles perspectives quant au nombre de potentielles molecules etudiables.
Wearable Kinesthetic System in Post-stroke Rehabilitation: A Review of Sensor in Body Motions Detection

This paper presents a system with various kinematics parameters considered to capture and classify body gestures for user’s recovery. The concepts involved are briefly explained in this paper. Basically, two devices concepts are explained, which are the Upper Limb Kinesthetic Garment (ULKG) and OPAL technologies. The method of literature search used is discussed in methodology, while detailed information from reviews on particular devices is analysed. Then, the performance and feedback from users are compiled to indicate usability on both devices under the results section. Both ULKG that used conductive elastomer (CE) and OPAL sensor are compared to figure out which sensor is more appropriate for users.
New Methods for Channel Allocation Schemes in wireless Cellular Networks

Due to the fast-growing number of cell-phone users, channel allocation scheme for channel assignment plays an important role in cellular networks. Having known that for downlink transmission the base-station aims to transmit signals over a specific channel to different users, broadcasting enhancement gains momentum in cellular networks. Consider a set-up in which the base-station is equipped with M time/frequency recourses and M clients are being served with their own rate requirements. Optimum solution in a degraded broadcast channel is to send signals to all users over all channels. However, this enlarges the codebook, which leads to an intricate coding/decoding system. Taking this into account, the idea of grouping the clients into smaller subsets has been proposed in this research. The required rate for each client should be satisfied in each subset, which determines the size of the groups. As the highest gain in each subset is obtained by applying broadcasting scenario, one can just focus on finding the best method of grouping; henceforth, each group follows broadcasting scenario. Similarly, the same scenario applies to uplink transmission in which clients transmit signals to a single base station. Intuitively, the optimum solution can be achieved using linear programming. However, it turned out linear programming satisfies the zero-one constraint which can be efficiently solved by Hungarian method. It has been shown that this practical method conspicuously outperforms the traditional frequency division method.
Mode-Selective Photonic Lanterns for Orbital Angular Momentum Mode Division Multiplexing

We analyze the mode evolution in mode-selective photonic lanterns with respect to taper lengths, affected by possible mode phase differences varying along the taper. As a result, we design a three-mode orbital angular momentum (OAM) mode-selective photonic lantern by optimizing the taper length with mode crosstalk below −24 dB, which employs only one single mode fiber port to selectively generate one OAM mode.
CL-TWE Mach–Zehnder electro-optic modulator based on InP-MQW optical waveguides

In this Letter, we reported the preliminary results of an integrating periodically capacitive-loaded traveling wave electrode (CL-TWE) Mach–Zehnder modulator (MZM) based on InP-based multiple quantum well (MQW) optical waveguides. The device configuration mainly includes an optical Mach–Zehnder interferometer, a direct current electrode, two phase electrodes, and a CL-TWE consisting of a U electrode and an I electrode. The modulator was fabricated on a 3 in. InP epitaxial wafer by standard photolithography, inductively coupled plasma dry etching, wet etching, electroplating, etc. Measurement results show that the MZM exhibits a 3 dB electro-optic bandwidth of about 31 GHz, a Vπ of 3 V, and an extinction ratio of about 20 dB.
High throughput FIR filter architectures using retiming and modified CSLA based adders

A methodology to improve the throughput of FIR filters through the effective use of retiming and efficient add–multiply operation is presented in this study. Delay, energy and area efficient linear and square root carry-select adder (CSLA) structures are obtained by combining modified forms of carry look-ahead and carry-skip adder concepts to concatenated CSLA modules. The computational speed is enhanced by the quick generation and transmission of the end module carries by the module carry generation blocks. The delay performance of booth multiplier is improved by performing the partial product addition using the proposed square root CSLA. Two versions of the proposed filters are (a) high throughput low power and low complex retimed FIR filter and (b) high throughput energy efficient retimed FIR filter. The critical path delay, power, power–delay product and area–delay product of the proposed filter-2 are reduced by 71, 38, 82 and 78%, respectively, with respect to flexible retimed filter and by 40, 11, 47 and 37%, respectively, with respect to modified transpose form filter for a filter length of 64. Cadence software with gpdk 45 nm standard cell library is used for the design and implementation.
TRANSLATIONAL REGULATION IN THE EARLY DROSOPHILA EMBRYO

Translational regulation is an important mechanism for regulating gene expression. Regulation of specific transcripts is often mediated by elements present in the 3′ untranslated region (UTR) of the mRNA. In the Drosophila embryo, translational repression of nanos mRNA is mediated by Smaug protein bound to specific sequences present in the 3′ UTR of the mRNA. Here I show that Smaug recruits Cup protein to the mRNA and that Cup in turn binds to the translation initiation factor eIF4E that is present at the 5′. The interaction between Cup and eIF4E prevents formation of a productive translation initiation complex on the mRNA. Therefore, Smaugdependent translational repression functions at the initiation step via the indirect interaction of Smaug with eIF4E, which is mediated by Cup. In the second example of translational regulation presented here, I show that an element present in the 3′ untranslated region of the Hsp83 mRNA mediates translational enhancement in the Drosophila embryo. I have identified three proteins, Hrp48, DDP1 and PABP that interact with this element and have demonstrated that Hrp48 and DDP1 function in translational enhancement.
Linear Algebra With Maple

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Data-driven design of two-degree-of-freedom controllers using reinforcement learning techniques

Motivated by the successful application for feedback control, this study extends the study of reinforcement learning techniques to the design of two-degree-of-freedom controllers in the data-driven environment. Based on the residual generator based form of Youla parameterisation, all stabilising controllers are first interpreted in the feedback–feedforward situation with a Kalman filter-based residual generator acting as the core part. For the reference tracking problem, further discussions are conducted from the regulatory perspective and using the Q learning, recursive least squares methods and the policy iteration algorithm. The entire design is carried out as a two-stage process that separately achieves the optimal feedback and feedforward controllers. Finally, the effectiveness of the proposed approach is demonstrated with its application in the laboratory continuous stirred tank heater process.
hMad1 in the spindle assembly checkpoint : characterization of interacting partners

Le point de controle du fuseau mitotique ("spindle checkpoint") est un mecanisme conserve qui retarde l'entree de la cellule en anaphase jusqu'a ce que tous les chromosomes soient alignes dans la plaque metaphysique. Mad1 et Mad2 sont deux composants essentiels de ce point de controle. Nous avons utilise hMad1 pour cribler une banque d'ADNc humains en utilisant le systeme double-hybride. Un des clones positivement identifies (Mi-34) codait pour une proteine d'un poids moleculaire calcule de 85 kDa, qui etait identique a Hec1. Il est interessant de noter que dans des cellules reduites en Hec1, un arret mitotique se produit meme lorsque la plus grande partie de Mad1 et Mad2 n'est pas localisee aux kinetochores. Cette donnee etonnante defie la notion disant que des niveaux eleves de complexes Mad1/Mad2 au "steady-state" associes avec les kinetochores constituent un marqueur fiable pour l'activation du point de controle du fuseau mitotique.
On Modeling the Relative Fitness of Storage (CMU-PDL-07-108)

Storage management is usually handled by skilled system administrators. The specific task of configuring and allocating disk space for applications, often referred to as storage system design, is especially timeconsuming and error-prone. Automated storage system design, a solution proposed by many, relies on fast and accurate performance predictions. However, challenges with conventional performance modeling have prevented such automation from being fully realized in practice. Relative fitness is a new approach to modeling the performance of storage systems. In contrast to conventional models that predict the performance of storage systems based on the characteristics of workloads, referred to in this dissertation as absolute models, relative fitness models predict performance differences as workloads are moved across storage systems. There are two primary advantages. First, because relative fitness models are constructed for each pair of storage systems, the feedback of a closed workload can be captured (e.g., how the I/O arrival rate changes as the workload moves from storage system A to storage system B). Second, relative fitness models allow performance and resource utilization to be used in addition to workload characteristics. This is beneficial when workload characteristics are difficult to obtain or concisely express. For example, rather than trying to describe the spatio-temporal characteristics of a workload, one could use the observed performance and cache hit rate of storage system A to help predict the performance of storage system B. This dissertation describes the steps necessary to build a relative fitness model, with an approach that is general enough to be used with any black-box modeling technique. Relative fitness models and absolute models are compared across a variety of workloads and disk arrays (RAID). When compared to absolute models, relative fitness models reduce the bandwidth prediction error up to 53%, throughput up to 23%, and latency up to 20%. In general, the best predictors of the relative fitness models are performance observations, followed by conventional workload characteristics. Relative fitness models can be used in automated storage system design in a similar way that absolute models are used. Specifically, workloads can be observed on the storage systems that they are initially assigned to, relative fitness models can use these observations to predict the performance of different assignments, and optimization techniques can be used to select an assignment that optimizes performance.
Effect of Lactobacillus paracasei A221‐fermented ginseng on impaired spatial memory in a rat model with cerebral ischemia and β‐amyloid injection

Ginseng, a traditional herbal medicine, has been shown to prevent the progression of dementia, but its therapeutic effects vary because ginseng's components must first be activated by intestinal bacteria before being absorbed into the blood. We therefore focused on a fermented ginseng (FG), which contains activated components prepared by Lactobacillus paracasei A221, and compared its effects with those of non‐FG. In this study, we investigated whether FG is effective on spatial memory impairment in rats.
Dynamic Mechanical Freezing Points of Cosmetic O/W Emulsions and Their Stability at Low Temperatures

Abstract To develop cosmetic products quickly and effectively, developers need reliable test methods for evaluating product stability. Phenomena that determine the stability of cosmetic emulsions include phase transitions taking place in the relevant application and storage temperature range. The tendency of ingredients to crystallize influences the stability of emulsions especially at low temperatures. In this article a Differential Scanning Calorimetry (DSC) was used to determine the temperature of the water/ice phase transition of the continuous water phase for oil in water emulsions. A rheological, oscillating test method was developed to measure the phase transition temperature and the results were compared with those of the DSC and standard cold storage tests. There was a correlation of the crystallization temperature of the external water phase with the storage stability at –10°C. The accompanying increase in viscosity with cold storage due to structural alteration of the emulsions could be confirmed by TEM micrographs.
Ridge Regression and Lasso Estimators for Data Analysis

An important problem in data science and statistical learning is to predict an outcome based on data collected on several predictor variables. This is generally known as a regression problem. In the field of big data studies, the regression model often depends on a large number of predictor variables. The data scientist is often dealing with the difficult task of determining the most appropriate set of predictor variables to be employed in the regression model. In this thesis we adopt a technique that constraints the coefficient estimates which in effect shrinks the coefficient estimates towards zero. Ridge regression and lasso are two well-known methods for shrinking the coefficients towards zero. These two methods are investigated in this thesis. Ridge regression and lasso techniques are compared by analyzing a real data set for a regression model with a large collection of predictor variables.
Effects of Illumination on Paper and Silk Substrates of Traditional Chinese Painting and Calligraphy Measured with Raman Spectroscopy

ABSTRACT As the substrates of traditional Chinese painting and calligraphy, paper and silk are susceptible to optical radiation in museum illumination, resulting in mechanical damage, the origins of which are changes in microscopic molecular structure. However, there is no effective method of quantitatively evaluating the microscopic molecular structural changes caused by irradiation. In this study, Raman spectroscopy was introduced for illumination research on the paper and silk substrates in museums. Four narrow-emitting light sources with different peak wavelengths, red (650 nm), amber (583 nm), green (510 nm), and blue (450 nm), which together constitute the spectrum of a white light emitting diode (LED), were used as experimental light sources. As experimental specimens, paper and silk substrates were irradiated by the four light sources. The Raman spectra of the specimens were collected before and after the illumination. By analyzing the variations in characteristic Raman peak intensities, the relative damage coefficients of the four light sources on microscopic molecular structures in the specimens were studied. Then, we were able to design the white LED spectral irradiance distribution of the two substrates according to the corresponding damage coefficients. In conclusion, a research method for studying the microscopic molecular structural changes in the substrates of traditional Chinese painting and calligraphy based on Raman spectroscopy has been proposed, finding a solution to the long-standing challenge of how to quantitatively evaluate illumination-induced mechanical damage of substrates. These results are instructive for designing the spectral ratios of white LEDs suitable for illumination of traditional Chinese painting and calligraphy in museums.
Learning Hybrid Models to Control a Ball in a Circular Maze

This paper presents a problem of model learning to navigate a ball to a goal state in a circular maze environment with two degrees of freedom. Motion of the ball in the maze environment is influenced by several non-linear effects such as friction and contacts, which are difficult to model. We propose a hybrid model to estimate the dynamics of the ball in the maze based on Gaussian Process Regression equipped with basis functions obtained from physic first principles. The accuracy of the hybrid model is compared with standard algorithms for model learning to highlight its efficacy. The learned model is then used to design trajectories for the ball using a trajectory optimization algorithm. We also hope that the system presented in the paper can be used as a benchmark problem for reinforcement and robot learning for its interesting and challenging dynamics and its ease of reproducibility.
High fat diet induces microbiota-dependent silencing of enteroendocrine cells

Enteroendocrine cells (EECs) are specialized sensory cells in the intestinal epithelium that sense and transduce nutrient information. Consumption of dietary fat contributes to metabolic disorders, but EEC adaptations to high fat feeding were unknown. Here, we established a new experimental system to directly investigate EEC activity in vivo using a zebrafish reporter of EEC calcium signaling. Our results reveal that high fat feeding alters EEC morphology and converts them into a nutrient insensitive state that is coupled to endoplasmic reticulum (ER) stress. We called this novel adaptation “EEC silencing”. Gnotobiotic studies revealed that germ-free zebrafish are resistant to high fat diet induced EEC silencing. High fat feeding altered gut microbiota composition including enrichment of Acinetobacter species, and we identified an Acinetobacter strain sufficient to induce EEC silencing. These results establish a new mechanism by which dietary fat and gut microbiota modulate EEC nutrient sensing and signaling.
Eye-fixation related potentials on regions of interest when viewing natural scenes

EFRPs (Eye-Fixation Related Potentials): Segmentation of EEG data into epochs from 500 ms before the scene onset to 4000 ms after Rejection of segments contaminated with blinks, muscular activity and/or nonphysiological artifacts Correction of artifacts relating to ocular movements (IVA) [Phlypo, 2013] EFRPs: [-200 ms;700 ms] according to fixation onset Baseline : [-200 ms;-100 ms] Recordings Eye movements: SR Research Eyelink 1000 EEG: 32 active electrodes g.GAMMAsys gtec system
Sensitivity analysis of criteria to optimize wind farm localizing: A case study

The objective of this study was to perform a sensitivity analysis on the factors affecting wind site localization. A case study is selected based on 13 cities in the province of Fars in Iran which is equally applicable in any other wind sites. Then, the cities are ranked using the dual form of the data envelopment analysis model. Next, six criteria are adopted including wind conditions, population, Available Land condition, distance to distribution networks, rate of natural disasters, and the cost of land. In the sensitivity analysis of each criterion, first, the criterion under analysis is omitted from the model, and then the dual model is applied again to obtain a new ranking. Evaluating the results of the ranking for 13 studied cities indicate that the city of Shiraz is just sensitive to the population criterion and fell 11 places in the ranking by omitting this criterion. But the city is insensitive to any other criteria.