Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular diversity of peanut‐nodulating rhizobia in soils of Argentina

RSα sequencing is a valuable tool for identification of bacterial strains, and for evaluating the genetic structure of indigenous rhizobial populations. The purpose of this study was to evaluate, qualitatively, the presence or absence of RSα fragment in peanut‐nodulating strains isolated from plants grown at four sites in central Argentina. RSα fragment was found in only three of 26 indigenous strains, and in one of three inoculant strains analyzed. In contrast to results from studies of other symbiotic nitrogen‐fixing bacteria, such as soybean‐nodulating strains, no correlation was found between generation time and presence of RSα sequence. Phylogenetic analysis of the 16S rRNA gene sequence grouped peanut‐nodulating strains into two clusters, Bradyrhizobium japonicum vs. B. elkanii, and showed divergence among strains positive for RSα sequence. Our results confirm the genetic diversity previously reported for various peanut‐nodulating rhizobial strains, and indicate that the RSα fragment is not applicable as a marker or tool for competition assays at the field or ecological level. (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Execution Fault Recovery in Robot Programming by Demonstration Using Multiple Models

Deformable object (e.g., clothes) manipulation by a robot in interaction with a human being presents several interesting challenges. Due to texture and deformability, the object can get hooked in the human limbs. Moreover, the human can change their limbs position and curvature, which require changes in the paths to be followed by the robot. To help solve these problems, in this paper we propose a technique of learning by demonstration able to adapt to changes in position and curvature of the object (human limb) and recover from execution faults (hooks). The technique is tested using simulations, but with data obtained from a real robot.
Altered Carbon Flow by Polyphosphate‐Accumulating Organisms During Enhanced Biological Phosphorus Removal

The effect of carbon source availability during enhanced biological phosphorus removal (EBPR) was evaluated. To assess the EBPR activity of polyphosphate‐accumulating organisms (PAOs), PAO‐enriched sludge from a laboratory‐scale sequencing batch reactor and activated sludge from a full‐scale municipal wastewater treatment plant were used, and their EBRP performances were compared. Spiking with acetate (1000 mg/L chemical oxygen demand) during the aerobic phase disrupted the EBPR performance of both types of sludge; however, when the carbon source was removed, still in the aerobic phase, the EBPR performance of both types of sludge was restored. The PAO‐enriched sludge showed 3 to 5 times greater glycogen restoration activity per biomass than the full‐scale activated sludge. During high acetate loading in the anaerobic phase, PAOs are supposed to deplete internally stored polyphosphate, causing a “poly‐phosphate limited condition”. Under such a condition, unlike the full‐scale activated sludge, the PAO‐enriched sludge produced a higher fraction of poly‐hydroxylvalerate. It was proposed that PAOs can use the glyoxylate pathway and the methymalonyl‐CoA pathway through a full or partial tricarboxylic acid cycle under the anaerobic condition.
Energy Budget Aware Device-to-Device Cooperation for Mobile Videos

Device-to-device (D2D) communication is known as a promising way to cope with the growing mobile video traffic, which may suffer from the short duration caused by the limited energy supply. In this paper, we propose a practical D2D cooperation framework based on distributed optimization to extend the video transmission duration. In the multi-path multi-hop D2D communication scenario, we effectively schedule the routes and video traffic workloads to avoid low-battery D2D outages due to non-uniform energy consumption. Specifically, we formulate the D2D cooperation as a consensus problem among the network operator and cooperative devices, and then solve it in a flexible distributed fashion. Numerical results show that the proposed framework could reach the optimality quickly in time division duplex communication systems and significantly increase the duration of the cooperative video transmission.
PET Analysis Indicates Atypical Central Dopamine Receptor Occupancy in Clozapine-Treated Patients

D1 and D2 dopamine (DA) receptor occupancy was determined by PET in the basal ganglia of drug-treated schizophrenic patients. In 22 patients treated with classical neuroleptics at conventional doses, the average D2 occupancy was 78% (s.d. 6%). In five patients treated with the prototype atypical antipsychotic drug clozapine, a lower D2 occupancy of 48% (s.d. 11%, P<0.01) was found. Accordingly, clozapine is ‘atypical’ with respect to the striatal D2 DA receptor occupancy induced in patients. No obvious D1 DA receptor occupancy was induced by the classical neuroleptics haloperidol or sulpiride. The thioxanthene flupenthixol induced a 36-44% D1 occupancy in individual patients. In four patients treated with clozapine the D1 occupancy was 38-52%.
Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels

Leaf and canopy nitrogen (N) status relates strongly to leaf and canopy chlorophyll (Chl) content. Remote sensing is a tool that has the potential to assess N content at leaf, plant, field, regional and global scales. In this study, remote sensing techniques were applied to estimate N and Chl contents of irrigated maize (Zea mays L.) fertilized at five N rates. Leaf N and Chl contents were determined using the red-edge chlorophyll index with R2 of 0.74 and 0.94, respectively. Results showed that at the canopy level, Chl and N contents can be accurately retrieved using green and red-edge Chl indices using near infrared (780–800 nm) and either green (540–560 nm) or red-edge (730–750 nm) spectral bands. Spectral bands that were found optimal for Chl and N estimations coincide well with the red-edge band of the MSI sensor onboard the near future Sentinel-2 satellite. The coefficient of determination for the relationships between the red-edge chlorophyll index, simulated in Sentinel-2 bands, and Chl and N content was 0.90 and 0.87, respectively. © 2013 Elsevier B.V. All rights reserved.
The Analysis and Application of the Monitor Model of Gasifier Temperature Based on the PSO Neural Network

The coal gasification technology is widely used in industrial production, but in its production process, there exists a tough problem that the gasified temperature is not easy to detect and monitor. This paper proposes the approach of pso neural network, the neural network optimized by the particle swarm optimization(pso), and it adopts soft-sensing technique for real time detection and monitoring. Therefore, the goal of improving the efficiency of production and providing the control decision can be realized.
Prediction of brain tissue temperature using near-infrared spectroscopy

Abstract. Broadband near-infrared spectroscopy (NIRS) can provide an endogenous indicator of tissue temperature based on the temperature dependence of the water absorption spectrum. We describe a first evaluation of the calibration and prediction of brain tissue temperature obtained during hypothermia in newborn piglets (animal dataset) and rewarming in newborn infants (human dataset) based on measured body (rectal) temperature. The calibration using partial least squares regression proved to be a reliable method to predict brain tissue temperature with respect to core body temperature in the wavelength interval of 720 to 880 nm with a strong mean predictive power of R2=0.713±0.157 (animal dataset) and R2=0.798±0.087 (human dataset). In addition, we applied regression receiver operating characteristic curves for the first time to evaluate the temperature prediction, which provided an overall mean error bias between NIRS predicted brain temperature and body temperature of 0.436±0.283°C (animal dataset) and 0.162±0.149°C (human dataset). We discuss main methodological aspects, particularly the well-known aspect of over- versus underestimation between brain and body temperature, which is relevant for potential clinical applications.
Increasing Skill Performances of Problem Solving in Students with Intellectual Disabilities.

Problem-solving instruction facilitates children in becoming successful real-world problem solvers. Research that incorporates problem-solving instruction has been limited for students with mild and moderate intellectual disabilities. However, this population of students needs increased opportunities to learn the skills of problem solving. Using a problem-solving strategy, four students with mild and moderate intellectual disabilities were taught to identify problems and possible solutions, identify best solutions, and self-evaluate. A multiple- probe design was used to increase students' skill performances of problem solving. Data suggested that all students learned to identify problems and possible solutions. In addition, students generalized and applied their problem-solving skills during role-play sessions. Self-determination has been defined as both a civil right and civic responsibility for persons with disabilities (Skouge, Kelly, Roberts, Leake, & Stodden, 2007). The development of self-determination is a best practice for chil- dren with disabilities, according to the 2003 President's Commission on Excellence in Spe- cial Education Report (Wehmeyer, Gragou-
Design of an evaluation system in e-learning Arabic language

The new form of education called "E-Learning" has grown significantly, especially in training institutions (Universities, Schools, Businesses, etc.). Consequently, they develop their software needs assessment in order to assess the information, and allow the learner to correct his knowledge autonomously. The teaching of languages takes place in the context of distance education and involves several research areas, as automatic processing of natural language and modeling of learning action in distance education environment. Therefore, the development of a remote Evaluation system for Arabic requires the preparation of various linguistic tools such as analyzers In this paper we focus on the development of a Morphological Analyzer In Arabic Language which can be operated in a remote evaluation system of the Arab that support during the seventh year basic level grammar taught in Tunisia. This work proposes to establish morphological analysis by promoting treatments that can be used by a system as the decomposition of a text, determining the properties of a word, the search in a text. , these treatments support learning through an explanation of ambiguous words, the integration strategies of Arabic grammar and solving exercises.
Real-Time Reconstruction of Plasma Equilibrium in FTU

An important goal of magnetic-field study in tokamak machines is to determine and reconstruct the magnetic isoflux surface characterizing the plasma boundary condition and the full mapping of the magnetic surfaces inside that isoflux surface. This task can be accomplished by using the multipolar moment method which results from the homogenous solution of the Grad-Shafranov equation. The real-time reconstruction of a magnetic-field map is important to evaluate some quantities that can be used to control the plasma. This paper addresses the real-time implementation of that task.
Radar Array Signal Processing in the Presence of Scattering Effects

Abstract : We developed statistical time-reversal imaging and Cramer-Rao bounds (ORB's) for point targets and scatterers; realistic clutter modeling, random scattering reflections, compound Gaussian distributions, and signal dependence; maximum likelihood estimators, CRB's, and sequential target detectors in compoun%Gaussian clutter; polarimetric radar algorithms for detectingltracking targets in clutter; microstrip antennas design with suppressed radiation in horizontal directions and reduced coupling, and 6D vector antenna; optimal synthesis of a directional beam with full polarization control; estimated building layouts and objects behind walls using exterior radar measurements and EM modeling; robust least-squares beamformers (spatial filters) for estimating unknown source signals under steering vector uncertainties; tight lower bounds on the mean-square error (MSE) of estimating multiple change points of measurement models; unification of minimal Bayesian bounds on the MSE of estimators; performance bounds on image registration useful for optimum design of registration algorithms; image reconstruction method for diffuse optical tomography; electromagnetic inverse solutions based on Poisson oint 5 atial model for estimatin unknown source e. , brain Si nals.
On stochastic processes for quantitative trait locus mapping under selective genotyping

We consider the likelihood ratio test (LRT) process related to the test of the absence of QTL (a QTL denotes a quantitative trait locus, i.e. a gene with quantitative effect on a trait) on the interval [0, T] representing a chromosome. The originality of this study is that we are under selective genotyping: only the individuals with extreme phenotypes are genotyped. We give the asymptotic distribution of this LRT process under the null hypothesis that there is no QTL on [0, T] and under local alternatives with a QTL at t☆ on [0, T]. We show that the LRT process is asymptotically the square of a ‘non-linear interpolated and normalized Gaussian process’. We have an easy formula in order to compute the supremum of the square of this interpolated process. We prove that we have to genotype symmetrically and that the threshold is exactly the same as in the situation where all the individuals are genotyped.
An integrated path planning system for a robot designed for oil palm plantations

This paper presents a path planning system that would enable a robot to navigate through an oil palm plantation. The system is comprised of a distance estimation algorithm, which can accurately identify the location of a detected oil palm tree, an obstacle detection method that accurately detects obstacles and a path planning algorithm which can plan the shortest collision-free path for the robot to follow. The Dlite algorithm was selected as the path planning algorithm due to its exceptional performance. The tree detection algorithm uses the KINECT camera and a Viola and Jones detector based method to detect trees, which is then used to estimate the location of the nearest detected tree via further image processing. The distance estimation technique for tracking the distance to the nearest detected tree resulted in an estimation accuracy of 80% within a 4-6 meter range from the tree. All subsystems were integrated as a whole so that they function smoothly as an integrated system. Real time testing of the integrated system showed that the developed auto navigation system was capable of planning the shortest collision-free path to the goal and obstacles ahead were accurately detected.
Automatic obstacle avoidance at high speeds via reflex control

A reflex control system is proposed for the realization of automatic collision avoidance in an environment that is compatible with arbitrary higher-level torque-based controllers. The system has the virtue of being failsafe without introducing unnecessary interference in the execution of higher-level controls. The reflex controller is useful for safely experimenting with new, possibly unstable control algorithms. Operation of the reflexes proposed here, although implemented as a decision-making process, is equivalent to the action of repulsive potential fields plus dissipative terms. The equivalent potential fields have a finite range of influences and combine through logic and set operations rather than linear superposition. Reflex control has been demonstrated to work effectively in the presence of moving, albeit quasi-static, obstacles. <<ETX>>
First Operation of a Harmonic Lasing Self-Seeded Free Electron Laser

Harmonic lasing is a perspective mode of operation of X-ray FEL user facilities that allows to provide brilliant beams of higher energy photons for user experiments. Another useful application of harmonic lasing is so called Harmonic Lasing Self-Seeded Free Electron Laser (HLSS FEL) that allows to improve spectral brightness of these facilities. In the past, harmonic lasing has been demonstrated in the FEL oscillators in infrared and visible wavelength ranges, but not in high-gain FELs and not at short wavelengths. In this paper we report on the first evidence of the harmonic lasing and the first operation of the HLSS FEL at the soft X-ray FEL user facility FLASH in the wavelength range between 4.5 nm and 15 nm. Spectral brightness was improved in comparison with Self-Amplified Spontaneous emission (SASE) FEL by a factor of six in the exponential gain regime. A better performance of HLSS FEL with respect to SASE FEL in the post-saturation regime with a tapered undulator was observed as well. The first demonstration of harmonic lasing in a high-gain FEL and at short wavelengths paves the way for a variety of applications of this new operation mode in X-ray FELs.
Recent Methods for Cryptanalysis of Symmetric-key Cryptographic Algorithms (Recente Methoden voor de Cryptanalyse van Symmetrische-sleutel Cryptografische Algoritmen)

Cryptography is the art and science of secret communication. In the past it has been exclusively the occupation of the military. It is only during the last forty years that the study and practice of cryptography has reached the wide public. Nowadays, cryptography is not only actively studied in leading universities as part of their regular curriculum, but it is also widely used in our everyday lives. It protects our GSM communications and on-line financial transactions, our electronic health records and personal data. Internet services for which security is critical, such as online banking, electronic commerce, e-voting and the whole concept of the e-Government are utterly unimaginable without the necessary cryptographic mechanisms. In order for cryptography to serve its purposes well, secure and reliable cryptographic algorithms are necessary. The design of such algorithms is intimately linked to the ability to analyze and understand their properties. The latter are the subject of study of cryptanalysis. A cryptanalytic technique to a cryptographer is what the hammer and the anvil are to the blacksmith. With better tools higher art is accomplished. The goal of this thesis is to study new techniques for cryptanalysis of symmetric-key cryptographic algorithms. The first part of the thesis focuses on methods for cryptanalysis of ARX algorithms. These are algorithms based on the operations modular addition, bit rotation and XOR, collectively denoted as ARX. Many contemporary algorithms fall into this class. For example, the block ciphers TEA, XTEA and RC5, the stream cipher Salsa20, the hash functions MD4, MD5, SHA-1 and SHA-2 as well as two of the candidate proposals for the next generation cryptographic hash function standard SHA-3: the hash functions BLAKE and Skein. In this thesis we propose a general framework for the differential analysis of ARX algorithms. This framework is used to compute the probabilities with which differences propagate through the ARX operations. The accurate computation of these probabilities is critical for estimating the success of one
A Descriptive Study of Body Pain and Work-Related Musculoskeletal Disorders Among Latino Farmworkers Working on Sweet Potato Farms in Eastern North Carolina

ABSTRACT Agricultural work is a physically demanding occupation. The purpose of this project was to describe the prevalence of work-related musculoskeletal disorders (WMSDs) and self-reported pain among Latino farmworkers who work extensively hand harvesting sweet potatoes. Data were obtained from a cross-sectional survey of farmworkers (N = 120) in eastern North Carolina. Univariate and bivariate analyses were used to describe personal, work characteristics, and self-reported pain associated with musculoskeletal injuries. Overall, 79% of farmworkers reported any type of pain or discomfort. The highest reported areas of pain were in the back (66%) and shoulder areas (31%). Younger participants experienced more shoulder pain (P = .04) than older workers, and working more than 5 years as a farmworker was significantly associated with back pain (P = .01). Interventions aimed at administrative and engineering controls for reducing risk factors that contribute to WMSDs are warranted.
ExperienceSampler: An Open-Source Scaffold for Building Smartphone Apps for Experience Sampling

Abstract Experience sampling methods allow researchers to examine phenomena in daily life and provide various advantages that complement traditional laboratory methods. However, existing experience sampling methods may be costly, require constant Internet connectivity, may not be designed specifically for experience sampling studies, or require a custom solution from a computer programming consultant. In this article, we present ExperienceSampler, an open-source scaffold for creating experience-sampling smartphone apps designed for Android and iOS devices. We designed ExperienceSampler to address the common barriers to using experience sampling methods. First, there is no cost to the user. Second, ExperienceSampler apps make use of local notifications to let participants know when to complete surveys and store the data locally until Internet connection is available. Third, our app scaffold was designed with experience sampling methodological issues in mind. We also demonstrate how researchers can easily customize ExperienceSampler even if they have no programming skills. Furthermore, we evaluate the utility of ExperienceSampler apps with results from one social psychological study conducted using ExperienceSampler (N = 168). Mean response rates averaged 84%, and the median response latency was 9 minutes. Taken together, ExperienceSampler creates cost-effective smartphone apps that can be easily customized by researchers to examine experiences in daily life.
[Changes in mental health care by a regional budget: results of a pilot Project in Schleswig-Holstein (Germany)].

OBJECTIVES In a region of Schleswig-Holstein, a regional budget was used to investigate which structural changes would be brought about by a financial plan which enables (clinical) treatment that defies rigid financial limits and makes flexible treatment in various settings possible. RESULTS In 5 years, the number of inpatient treatment places in the care region was reduced considerably. The length of stay per patient and year decreased by 25 %. Day care and outpatient treatment offers were expanded substantially and new treatment concepts were established. The quality of treatment remained safeguarded. CONCLUSIONS A regional budget is suitable for bringing about fundamental changes in terms of content and structure in psychiatric care. The result is clearly improved flexibility as compared to previous care structures; incentives for disorders are reduced. The principle "outpatient before inpatient" is strengthened. The financial plan can be transposed onto other regions, whereby modifications according to the structure of the care region seem necessary.