Miracle-dz/UniFAR-FTUs huggingface dataset:
An Optimized Deep Belief Network for Land Cover Classification Using Synthetic-Aperture Radar Images and Landsat Images

This paper intends to propose an automated deep learning-based land cover classification model of remote sensing images. The model includes (i) pre-processing, (ii) feature extraction and (iii) classification. The captured synthetic-aperture radar (SAR) and Landsat-8 images are initially pre-processed using the Gabor filtering model. Subsequently, from SAR images the gray-level-co-occurrence matrix-based texture characteristics are extracted, and temperature vegetation index-based characteristics, normalized vegetation index-based features, normalized difference index-based features and coloration index features are extracted from Landsat-8 images. Finally, the extracted features are subjected to an optimized deep belief network (DBN), where the weight is fine-tuned by the optimization logic. For this, a new Sunflower adopted Red Deer (SARD) algorithm is introduced in this work that hybrids the concept of Red Deer algorithm and Sunflower optimization. The performance of the proposed classification model is compared over other conventional models concerning different measures. Especially, the accuracy of the presented work (SARD+DBN) for Testcase3 is 5, 7, 6 and 30% better than existing DA + DBN, JA + DBN, SLnO+DBN and LA + DBN methods, respectively.
Characterization and evaluation of some populations of noble laurel (Laurus nobilis L) in northern Algeria

Dans le cadre de la caractérisation et de la valorisation du laurier noble en Algérie, nous avons entrepris des prospections et des collectes de matériel végétal à travers les wilayas de Tlemcen, Saïda, Alger et Chlef. Une caractérisation morphométrique a été réalisée sur les principaux caractères morphologiques notés sur les arbres et les feuilles, des analyses de variances, l'ACP et la corrélation de Pearson ont montré quelques différences entre les individus des quatre régions à travers ces caractères quantitatifs et qualitatifs. Les analyses de sol ont montré une certaine ressemblance dans les propriétés physiques et chimiques. L'extraction des huiles essentielles nous a donné des rendements variables et les analyses physico-chimiques de ces huiles ont montré des résultats presque identiques pour tous les échantillons.
Replication of the HBS Autobahn with SUMO

This work seeks to prove the following hypothesis: SUMO can reproduce the fundamental diagrams put forward by the German handbook HBS to a certain degree. This is demonstrated by the particular example of what is known in Germany as the E1 ramp, which is a one-lane ramp connected to a two-lane freeway. A comparison of the simulation by SUMO with the HBS will show that SUMO can qualitatively reproduce some realistic scenarios, but not the full range of the fundamental diagram.
Nomograms predict prognosis and hospitalization time using non-contrast CT and CT perfusion in patients with ischemic stroke

Background Stroke is a major disease with high morbidity and mortality worldwide. Currently, there is no quantitative method to evaluate the short-term prognosis and length of hospitalization of patients. Purpose We aimed to develop nomograms as prognosis predictors based on imaging characteristics from non-contrast computed tomography (NCCT) and CT perfusion (CTP) and clinical characteristics for predicting activity of daily living (ADL) and hospitalization time of patients with ischemic stroke. Materials and methods A total of 476 patients were enrolled in the study and divided into the training set (n = 381) and testing set (n = 95). Each of them owned NCCT and CTP images. We propose to extract imaging features representing as the Alberta stroke program early CT score (ASPECTS) values from NCCT, ischemic lesion volumes from CBF, and TMAX maps from CTP. Based on imaging features and clinical characteristics, we addressed two main issues: (1) predicting prognosis according to the Barthel index (BI)–binary logistic regression analysis was employed for feature selection, and the resulting nomogram was assessed in terms of discrimination capability, calibration, and clinical utility and (2) predicting the hospitalization time of patients–the Cox proportional hazard model was used for this purpose. After feature selection, another specific nomogram was established with calibration curves and time-dependent ROC curves for evaluation. Results In the task of predicting binary prognosis outcome, a nomogram was constructed with the area under the curve (AUC) value of 0.883 (95% CI: 0.781–0.985), the accuracy of 0.853, and F1-scores of 0.909 in the testing set. We further tried to predict discharge BI into four classes. Similar performance was achieved as an AUC of 0.890 in the testing set. In the task of predicting hospitalization time, the Cox proportional hazard model was used. The concordance index of the model was 0.700 (SE = 0.019), and AUCs for predicting discharge at a specific week were higher than 0.80, which demonstrated the superior performance of the model. Conclusion The novel non-invasive NCCT- and CTP-based nomograms could predict short-term ADL and hospitalization time of patients with ischemic stroke, thus allowing a personalized clinical outcome prediction and showing great potential in improving clinical efficiency. Summary Combining NCCT- and CTP-based nomograms could accurately predict short-term outcomes of patients with ischemic stroke, including whose discharge BI and the length of hospital stay. Key Results Using a large dataset of 1,310 patients, we show a novel nomogram with a good performance in predicting discharge BI class of patients (AUCs > 0.850). The second nomogram owns an excellent ability to predict the length of hospital stay (AUCs > 0.800).
Diffuse reflectance spectra measurement in vivo skin tissue based on the integrated single integrating sphere system

The single integrating sphere combined with a spectrometer is often used to measure the diffuse reflectance spectrum of biological tissue. However, the optical fiber focusing of a spectrometer often introduces a certain error, which measures biological tissue parameters inaccurate. In addition, the traditional single integrating sphere is bulky and inconvenient to carry. The single integrating sphere system needs to be assembled with optical fiber, which is inconvenient to operate. Repeated disassembly and assembly of the system also cause the optical fiber interface to loosen, thereby introducing errors. In this paper, we proposed an integrated single integrating sphere system to measure the diffuse reflectance spectrum of biological tissues in vivo. The integrated single integrating sphere system is composed of a broad-spectrum light source, a stepping motor, a single integrating sphere, and an extended photomultiplier tube. The small-scale integrating sphere is convenient to carry, which can accurately and quickly collect the diffuse reflected light of the sample. The photomultiplier tube is used as a detector instead of a spectrometer to measure the diffusely reflected light from the sample passing through this small-scale integrating sphere. In this paper, we conducted an experiment with 7 subjects by this system to measure the diffuse reflectance spectra in vivo. We also used the Monte Carlo algorithm to verify the measurement results of the diffuse reflectance spectra. The Monte Carlo simulation results show that the system can achieve the in vivo non-invasive measurement of the diffuse reflectance spectra of biological tissues.
ASPECTOS FUNDAMENTALES EN MÉTODOS DE NEUROMODULACIÓN (RTMS, TDCS) Y TERAPIA DE HABLA Y LENGUAJE EN LA REHABILITACIÓN DE LA AFASIA SUBAGUDA O CRÓNICA POST-ICTUS

La Afasia es una de las consecuencias más comunes posterior a un ictus cerebral, la rehabilitación empleada se basa en la terapia de habla y lenguaje (TLS). En los últimos años la implementación de técnicas de neuromodulación, como la estimulación magnética transcraneal repetida (rTMS) y la estimulación transcraneal corriente continua (tDCS) han cobrado un mayor impacto, mejorando el pronóstico o tiempo de rehabilitación del paciente. El objetivo de la presente revisión se basa en explicar los avances de mayor relevancia en la rehabilitación de la Afasia subaguda o crónica usando TLS junto a métodos de neuromodulación (rTMS y tDCS), así como exponer los resultados obtenidos en las diferentes áreas neuroanatómicas, como la circunvolución frontal inferior izquierda, la corteza motora primaria izquierda, el cerebelo derecho o la décima vertebra espinal torácica. Se incluyeron datos de algunas revisiones y metaanálisis que relacionará la rehabilitación de la Afasia, subaguda o crónica, posterior a un ictus cerebral usando TLS junto a uno o ambos métodos de neuromodulación escogidos, rTMS y tDCS. Se concluyó que la rehabilitación dirigida al Lóbulo frontal inferior derecho con estímulos inhibidores mostraba los mejores resultados, a pesar de esto faltan datos más precisos para llevar a cabo el método más eficaz en rehabilitación.
Variable Selection in Linear Regressions with Many Highly Correlated Covariates

This paper is concerned with variable selection in linear high-dimensional framework when the set of covariates under consideration are highly correlated. Existing methods in the literature require that the collinearity among covariates to be weak, yet, often in applied research, covariates could be strongly cross correlated due to common factors. This paper generalizes the One Covariate at a Time Multiple Testing procedure proposed by Chudik et al. (2018) to allow the set of covariates under consideration to be highly correlated. We exploit ideas from latent factor and multiple testing literature to control the probability of selecting the approximating model. The proposed method is shown to be valid under general assumptions and is computationally very fast. Monte Carlo experiments indicate that the newly suggested method have appealing ﬁnite-sample performance relative to competing methods, like LASSO, under many di ↵ erent settings. The beneﬁts of the proposed method are also illustrated by an empirical application to selection of risk factors in asset pricing literature.
An Overview of Regulation Topologies in Resonant Wireless Power Transfer Systems for Consumer Electronics or Bio-Implants

Owing to its relatively high efficiency, extended transmission range, and less exposure to radio frequency radiation, near-field resonant wireless power transfer (R-WPT) has been widely used in consumer electronics and bio-implants. For most applications, a well-regulated output voltage is required against the coupling and loading variations, and thus a regulation scheme should be employed in an R-WPT system. To achieve an optimal receiver (RX) or overall efficiency, together with a reduced cost overhead, several regulation schemes have been proposed in recent years, where the regulation can be implemented at either the RX or transmitter (TX) side, or both. These regulation schemes have been reviewed and comprehensively discussed in this paper. Hence, the main contribution of this paper is to provide a guideline for designing the regulation scheme in R-WPT systems. Moreover, potential new topologies of regulation are investigated here.
AIS Electronic Library (AISeL) Dual-Channel Supply Chain Network Equilibrium Model with Consumer-Driven

: In this paper, we study designing and managing effective dual-channel supply chain network equilibrium model to optimize the profit of each node in dual-channel supply chain network and satisfy seamlessly customer demand. The customer demand in each channel is driven by the heterogeneous consumer characteristic attributes. In our proposed model, Multinomial Logit (MNL) function is used to make a purchase decision for customers considering selling price, operation time and retail services. Furthermore, the Variational Inequality is used to express the equilibrium solution in dual-channel supply chain network. A numerical example in dual-channel supply chain network is presented to show the MNL function can be a good replacement for the demand function when customers are heterogeneous and the proposed model can be helpful to avoid time trap.
(2011). A role for Tctex-1 (DYNLT1) in controlling primary cilium length. European Cell (10), 865 - 871.

microtubule multiple endomembrane organization and trafficking, mitosis, and microtubule organization. The majority of of cytoplasmic dynein focussed on the form of the motor that is built around the dynein-1 heavy chain. A second isoform, dynein heavy chain-2, and its specifically associated light intermediate chain, LIC3 (D2LIC), are known to be involved in the formation and function of primary cilia. We have used RNAi in human epithelial cells to define the cytoplasmic dynein subunits that function with dynein heavy chain 2 in primary cilia. We identify the dynein light chain Tctex-1 as a key modulator of cilia length control; depletion of Tctex-1 results in longer cilia as defined by both acetylated tubulin labelling of the axoneme and Rab8a labelling of the cilia membrane. Suppression of dynein heavy chain-2 causes concomitant loss of Tctex-1 and this correlates with an increase in cilia length. Compared to individual depletions, double siRNA depletion of DHC2 and Tctex-1 causes an even greater increase in cilia length. Our data show that Tctex-1 is a key regulator of cilia length and most likely functions as part of dynein-2. DHC2 2008). heterodimers (Lo et al. , 2007) but only homodimeric complexes of either Tctex-1 or rp3 are capable of binding to dynein intermediate chains (Lo et al. , 2007). Conflicting data exist relating to dynein- independent functions of Tctex-1. Sucrose density centrifugation showed that all Tctex-1 was found
Autotaxin Autotaxin expression regulatory mechanism and its biological function

Autotaxin (ATX) is the key enzyme that produces lysophosphatidic acid (LPA). LPA interacts with at least six specific G protein-coupled receptors on the cell membrane (LPA receptors 1–6) to activate various signaling pathways and plays important roles in physiological and pathological processes. ATX expression is regulated at multiple levels during transcription, post-transcription, and secretion, and the epigenetic regulation of ATX expression has been clarified recently. ATX and LPA promote cell proliferation and migration in the tumor microenvironment; therefore, the ATX-LPA signaling pathway is a potential cancer therapeutic target. Several ATX inhibitors have been developed with clinical application potential. In this review, we focus on the mechanisms that regulate the expression and biological functions of ATX and demonstrate the physiological and pathological significance of the ATX-LPA signaling axis.
Removing the basic ﬂaw in deposit insurance leads automatically to full reserve banking.

Deposit insurance is beneficial in that it ensures everyone has a safe method of storing and transferring money. That is a basic human right. Unfortunately deposit insurance also supports a commercial activity , namely depositing money at a bank with a view to the bank earning interest for the depositor, which a bank can only do by in effect lending out depositors’ money. That is just as commercial as depositing money with a stockbroker, mutual fund or unit trust with a view to interest or some other form of return being earned. And it is not the job of government to support commercial activities. As for the idea that banks create the money they lend out, rather than intermediate, that is dealt with in the opening paragraphs below. easily by splitting at abstract is that instead of placing safe money at the central bank, where it does nothing, it might seem that benefits would derive from putting that money to use, e.g. if that money, or at least some of it, was loaned out to borrowers.
3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds

Recent 3D room layout recovery approaches mostly concentrate on Manhattan layouts, where the vertical walls are orthogonal with respect to each other, even though there are many rooms with non-Manhattan layouts in the real world. This paper presents a room layout recovery method generalizing across Manhattan and non-Manhattan worlds. Without introducing additional supervision, we extend current Manhattan layout recovery methods by predicting an extra surface normal feature, which is further used for an adaptive post-processing to reconstruct layouts of arbitrary shapes. Experimental results show that our method has a great improvement on non-Manhattan layouts while being capable of generalizing across Manhattan and non-Manhattan layouts.
POWER, SELF-REPORTED AFFECT, AND FACIAL EXPRESSIONS

Self-reported experiences are often poor indicators of outward expressions. Here we examine social power as a variable that may impact the relationship between self-reported affect and facial expressions. Earlier studies addressing this issue were limited by focusing on a single facial expression (smiling) and by using different, less sensitive methods that yielded mostly null results. Sampling, for the first time, self-reported affect repeatedly in response to different negative, neutral and positive stimuli, and measuring concurrent facial muscle activation via electromyography, we found that high power ( vs. baseline) increased the correspondence between self-reported positive affect and smiling. There was also an indication that high power ( vs. baseline) bolstered the association between self-reported negative affect and frowning but the effect did not pass more stringent criteria for significance ( p ≤ .005) and was therefore deemed inconclusive. The prediction that low power ( vs. baseline) decreases the correspondence between self-reported affect and smiling and frowning facial expressions was not supported. Taken together, it would appear that (high) power can impact the relationship between self-reported affect and facial expressions, but it remains to be seen whether this effect extends beyond smiling facial expressions.
UNI ScholarWorks UNI ScholarWorks Countertransference in counseling the terminally ill client Countertransference in counseling the terminally ill client

Abstract According to many authorities, probably the most universally shared human fears are those surrounding death (Clarke, 1981; Kubler-Ross, 1969; Momeyer, 1985). In counseling 11 life-threatened11 or dying clients, there is an urgent need for empathy and transparency on the part of the counselor. Ideally, it is essential for counselors to resolve as much as possible their own conflicts concerning "death issues" so that they are more able to help clients work through their own unresolved conflicts concerning the impending death.
CHARACTERIZATION OF THE STABLE AGGREGATES OF THE SOIL SPECIFIC TO THE NORTHERN PLATEAU OF THE REPUBLIC OF MOLDOVA

The importance of the aggregates studies could be presented from the following perspectives: elaboration of the soil studies to substantiate the projects of arrangement, organization and exploitation of the meadows; elaboration of (naturalistic) soil studies prior to the preparation of forestry arrangements; elaboration of the soil studies necessary to substantiate the projects of complex arrangement of the slopes in order to prevent and control erosion on agricultural land in non-irrigated regime; elaboration of the soil studies in order to recover the lands degraded by social-economic activities. The researches consists in highlighting the influence of the shelterbelts on the evolution of the soil in the immediate area of it, compared with the soil developed inside the shelterbelt, starting from the premise: degraded lands, recovered through shelterbelts, in order to ensure full protection of agricultural crops, it must also have a high degree of soil amelioration, a low risk of erosion and erosivity.
Low power consumption mini rotary actuator with SMA wires

Shape memory alloys (SMAs) are smart materials widely used as actuators for their high power to weight ratio despite their well-known low energy efficiency and limited mechanical bandwidth. For robotic applications, SMAs exhibit limitations due to high power consumption and limited stroke, varying from 4% to 7% of the total length. Hysteresis, during the contraction and extension cycle, requires a complex control algorithm. On the positive side, the small size and low weight are eminently suited for the design of mini actuators for robotic platforms. This paper describes the design and construction of a light weight and low power consuming mini rotary actuator with on-board contact-less position and force sensors. The design is specifically intended to reduce (i) energy consumption, (ii) dimensions of the sensory system, and (iii) provide a simple control without any need for SMA characterisation. The torque produced is controlled by on-board force sensors. Experiments were performed to investigate the energy consumption and performance (step and sinusoidal angle profiles with a frequency varying from 0.5 to 10 Hz and maximal amplitude of 15 ◦ ). We describe a transient capacitor effect related to the SMA wires during the sinusoidal profile when the active SMA wire is powered and the antagonist one switched-off, resulting in a transient current time varying from 300 to 400 ms.
Expressing Without Asserting in the Arts

Critical debate as well as uncertain or subjective claims are pivotal elements in arts scholarly analysis. Asserting such statements in RDF is hindered by the correct representation of uncertain or evolving aspects. In this article we examine and discuss the need and usefulness of expressing without asserting (EWA) arbitrary claims as RDF named graphs. We examine effectiveness of prior approaches to EWA and we propose a solution, called conjectures , to express and retrieve statements whose truth value is not specified.