Miracle-dz/UniFAR-FTUs huggingface dataset:
Output feedback sliding mode control based on adaptive sliding mode disturbance observer

In this paper, an adaptive sliding mode disturbance observer is designed to counteract the disturbance actively. By designing the adaptive laws, the assumptions on the disturbance are relaxed in the proposed observer, its first derivative upper bound is considered to be unknown. Based on the proposed disturbance observer, an output feedback sliding mode controller is constructed for the continuous-time linear systems with unknown external disturbance. The proposed controller incorporates only the system output information and has less chattering of the control input. The feasibility of the proposed strategy is shown by numerical simulations.
Nonlinear digital imaging

Nonlinear imaging systems can surpass the limits of linear optics, but to date they have all relied on physical media (e.g. crystals) to work. These materials are all constrained by their physical properties, such as frequency selectivity, environmental sensitivity, time behavior, and fixed nonlinear response. Here, we show that electro-optic spatial light modulators (SLMs) can take the place of traditional nonlinear media, provided that there is a feedback between the shape of the object and the pattern on the modulator. This feedback creates a designer illumination that generalizes the field of adaptive optics to include object-dependent patterns. Unlike physical media, the SLM response can provide arbitrary mathematical functions, operate over broad bandwidths at high speeds, and work equally well at high power and single-photon levels. We demonstrate the method experimentally for both coherent and incoherent light.
Classifying BPS states in supersymmetric gauge theories coupled to higher derivative chiral models

We study N = 1 supersymmetric gauge theories coupled with higher derivative chiral models in four dimensions in the off-shell superfield formalism. We solve the equation of motion for the auxiliary fields and find two distinct on-shell structures of the Lagrangian that we call the canonical and non-canonical branches characterized by zero and nonzero auxiliary fields, respectively. We classify BPS states of the models in Minkowski and Euclidean spaces. In Minkowski space, we find Abelian and non-Abelian vortices, vortex-lumps (or gauged lumps with fractional lump charges) as 1/2 BPS states in the canonical branch and higher derivative generalization of vortices and vortex-(BPS)baby Skyrmions (or gauged BPS baby Skyrmions with fractional baby Skyrme charges) as 1/4 BPS states in the non-canonical branch. In four-dimensional Euclidean space, we find Yang-Mills instantons trapped inside a non-Abelian vortex, intersecting vortices, and intersecting vortex-(BPS)baby Skyrmions as 1/4 BPS states in the canonical branch but no BPS states in the non-canonical branch other than those in the Minkowski space.
Evaluation of stiffness of rotator cuff tendons, coracohumeral ligament, tendon of long head of biceps and posterior capsule by strain and shear wave elastography in frozen shoulder vs normal shoulder

Background: Frozen shoulder is an idiopathic condition which presents with the loss of both active and passive movement at the shoulder joint over a period of time, associated with pain on movement. The wide range of clinical conditions with similar symptoms make the diagnosis difficult, hence making imaging studies mandatory. An increase in stiffness is noted by shear wave and strain ultrasound elastography of rotator cuff tendons, coracohumeral ligament, tendon of long head of biceps, posteriorcapsuleina patient affected with frozen shoulder. Objectives: To evaluate the stiffness of rotator cuff tendons, coracohumeral ligament, tendon of long head of biceps and posterior capsule in frozen shoulder by strain elastography and shear wave elastography and compare it with normal shoulder. Materials and Methods: The study was conducted with twenty-nine patients with frozen shoulder. Limited and painful motion without tendinitis or tendon tears were considered. in inclusion criteria. Strain and shear wave lastography were performed on rotator cuff tendons, coracohumer alligament, tendon of long head of biceps and posterior capsule on affected side and normal side to assess and compare the strain ratios and stiffness values on both sides. Receiveroperatingcharacteristiccurvaturewasplottedfortheobtainedvalues.
Teatro de fantoches como estratégia lúdica para a promoção e prevenção à saúde

Objetivo: Apresentar o relato de experiência de profissionais que utilizaram os recursos do teatro de fantoches como estratégia lúdica na clínica de Psicologia. Relato de experiência: Para compor as apresentações do teatro de fantoches, foi selecionado pessoas dinâmicas, confeccionados os fantoches, construído o cenário e preparação dos roteiros. O teatro teve a duração de 40 minutos, com oito crianças a cada encontro de 3 à 10 anos, acompanhadas pelos pais. O espetáculo dispõe de alguns parâmetros de interação e comunicação, como as diferentes formas da linguagem, além de fornecer ensino-aprendizagem. A magia do teatro pode proporcionar a criança relacionar com sua própria realidade. Mostraram possibilidades de atuações lúdicas com embasamento científico e que forneça ensino-aprendizagem, além de ser um momento de descontração. Considerações finais: O teatro é apenas o primeiro passo para realização em ações de promoção e prevenção à saúde de maneira diferenciada, e que por meio dessa experiência possa estimular diferentes demandas a colocar em prática.
A Method of Designing Interpretable Genetic Fuzzy Classification System Based On Mutating Parameters

This paper discusses the application of generating fuzzy rules with word computing in genetic fuzzy classification system, and proposes a new method to design genetic fuzzy classification system. The new algorithm generates initial fuzzy rules population with expertise of the randomly selecting samples, and adds mutating parameters to adjust the shape of membership function of fuzzy partition in order to expand the algorithm's search space. Experiments show that the new algorithm has better classification accuracy with shorter length of rules.
Rheology of Sheared Granular Particles near Jamming Transition(Nonequilibrium Dynamics in Astrophysics and Materials Science)

We investigate the rheology of sheared granular materials near the jamming transition point. We numerically determine the values of the critical fraction and the exponents for the jamming transition using a finite size scaling and the nonlinear minimization method known as the Levenberg-Marquardt algorithm. The exponents are close to our previous theoretical prediction, but there is a small discrepancy, if the critical point is independently determined.
EFFECTS OF SPINAL MOBILIZATION TECHNIQUES IN THE MANAGEMENT OF COBB ANGLE AMONG ADOLESCENT IDIOPATHIC SCOLIOSIS PATIENTS

: Background Idiopathic scoliosis is considered as the most common type of spinal deformity having insidious onset and relentless progression that may even lead to death. The global prevalence of the disease is 0.47 to 5.2% with the approximate prevalence rate of 2 to 3% in Pakistan. The deformity progresses with the age and approximately 90% of all the cases are being diagnosed during the age of adolescence (10-19 years). Multiple studies have provided evidences that physical therapy intervention strategies are beneficial in improving the Cobb angle but none of these studies have provided evidence on the effects of conservative management alone on scoliosis prior to surgery particularly in the perspective of under developed countries. Hence the present study is aimed to determine the impact of conservative management of Scoliosis in improving the Cobb angle of the Adolescent Idiopathic Scoliosis patients. A Quasi Experimental Study was conducted on 106 Adolescent Idiopathic Scoliosis Patients. The patients were given an initial of eight weeks of supervised exercises intervention in Physical Therapy outpatient department followed by a four weeks of home based session.The outcome measures were assessed through Cobb angle measurement using a radiographic X-rays. The findings revealed a significant difference in the mean 7.59±2.86 of Cobb angle p<0.0001 which shows that interventional strategies of 8 weeks as outpatient and 4 additional weeks as home program was found to be effective as a conservative approach of management for Adolescent Idiopathic Scoliosis of 30 0 or less. management protocol designed under the guidelines of Society on Scoliosis Orthopedic and Rehabilitation Treatment (SOSORT) was found to be effective in not only decelerating the progression of the thoracic curve but indeed found to be effective in reducing the Cobb angle.
A SURVEY ON HEART DISEASE PREDICTION USING SOFT COMPUTING

Large number of people has being affected due to heart disease and it has become a major problem. One of such threat is Cardiovascular Disease (CVD). If it is not treated and detected at an early and proper stage may lead to death. Especially in medical sector there is no such adequate research focus on effective analysis tool to discover and trends in data. Large amount of complex clinical data of patients and other hospital resources are being generated by health care industry nowadays. In male as well as female, it is the first leading cause of death according to world health organisation (WHO). Various heart diseases are caused due to reduction in supply of blood and oxygen. Therefore main objective of our paper is to predict more accurately the percentage of possibility of cardiovascular disease in minimum number of attributes (like blood pressure, cholesterol, type of chest pain, blood sugar, etc). Many data mining techniques are used to analyse this rich collection of data from different perspectives and deriving useful information. This project intends to design and develop, diagnosis and prediction system for heart disease based on soft computing technique that is ANFIS.
Quantum trajectories of superconducting qubits Trajectoires quantiques de qubits supraconducteurs

In this review, we discuss recent experiments that investigate how the quantum sate of a superconducting qubit evolves during measurement. We provide a pedagogical overview of the measurement process, when the qubit is dispersively coupled to a microwave frequency cavity, and the qubit state is encoded in the phase of a microwave tone that probes the cavity. A continuous measurement record is used to reconstruct the individual quantum trajectories of the qubit state, and quantum state tomography is performed to verify that the state has been tracked accurately. Furthermore, we discuss ensembles of trajectories, time-symmetric evolution, two-qubit trajectories, and potential applications in measurement-based quantum error correction. du qubit et la pr´ecision de ces trajectoires est v´eriﬁ´ee par une tomographie d’´etat quantique. De plus, nous discutons les ensembles de trajectoires, l’´evolution symm´etrique par renversement du temps, les trajectoires `a deux qubits et les applications potentielles en correction d’erreur quantique bas´ee sur la mesure.
Proposed aspect extraction algorithm for Arabic text reviews

: Opinion mining from reviews is a very crucial area in NLP. This area has many applications in social networks, business intelligence, and decision making. Aspect extraction is the main step to achieve opinion mining. This paper proposed an algorithm for aspect extraction from reviews in the Arabic language, to determine the aspects that the reviewers are described in their comments. The proposed algorithm begins with analyzing the comments dataset using latent Dirichlet analysis (LDA) to identify the aspects and its essential representative words, then extracting nouns and its' adjectives as a possible aspect phrase in a review. After that the categorizing process to categorize the extracted phrases according to the words specified from LDA analysis. The proposed approach has been tested by using two standard Arabic reviews datasets. The result was auspicious in spite of the difficulties if the Arabic natural language processing.
A 2-TUPLES MODEL FOR THE NEW PRODUCT DEVELOPMENT PROBLEM

In more and more uncertain environments, the companies find that the satisfying the needs of the consumers is not a strategic option but a strategic necessity. The traditional models recognize the necessity of working with qualitative information on the voice of consumer, but the literature has not put forward any appropriate methodology. Thus, this paper tries to respond to this drawback permitting to operate with linguistic information by means of 2-tuples linguistic representation.
Analyzing Browsing and Purchasing Across Multiple Websites Based on Latent Dirichlet Allocation

—The increasing importance of online channels for re-tailers and service providers is paralleled by a rising interest in gaining insights into the customer journey to online purchases. Most attempts to shed light to this issue are restricted to data available for only few particular sites. Our research focuses on mining online shoppers’ website visitation patterns across 472 individual websites. We propose a methodological framework to uncover latent interests which we assume to underlie observable online browsing behavior. Using one year of clickstream data for a random sample of comScore panelists, we show that there is heterogeneity among shoppers regarding online browsing habits, combinations of latent interests, and their conversion into online purchases. Our analysis ﬁnds that a relatively small fraction of online shoppers realizes 70% of online spending. In addition, we detect substantial segment-speciﬁc differences of shopping behavior with respect to 59 product categories.
When Accommodation Backfires: Interpersonal

Within Communication Accommodation Theory, social power is an important influence upon the likelihood of accommodation in communicative behaviours. Across two studies, we explore if the influence of power extends to a non-conscious aspect of accommodation, linguistic style , and to computer mediated forms of communication. We manipulated social power experimentally to create a series of instant messaging conversations between high and low power participants. Low power induced greater likelihood of linguistic style accommodation, whilst in a low versus high power role (study 1) and when participants undertook both roles (study 2). Notably, linguistic style accommodation by individuals in a high power role ‘ backfired ’ : greater accommodation was associated with a negative impression formed by their conversational partner. The results show robust effects of power in shaping language use across CMC. Further, the interpersonal effects of linguistic accommodation depend upon a complex interplay of social context, social norms, and the communication medium.
Coexpression Analysis Identiﬁes Rice Starch Regulator1, a Rice AP2/EREBP Family Transcription Factor, as a Novel Rice Starch Biosynthesis Regulator 1[W][OA]

Starch biosynthesis is important for plant development and is a critical factor in crop quality and nutrition. As a complex metabolic pathway, the regulation of starch biosynthesis is still poorly understood. We here present the identiﬁcation of candidate regulators for starch biosynthesis by gene coexpression analysis in rice ( Oryza sativa ). Starch synthesis genes can be grouped into type I (in seeds; sink tissues) and type II (in vegetative tissues; source tissues), and 307 and 621 coexpressed genes are putatively involved in the regulation of starch biosynthesis in rice seeds and vegetative tissues, respectively. Among these genes, Rice Starch Regulator1 (RSR1), an APETALA2/ethylene-responsive element binding protein family transcription factor, was found to negatively regulate the expression of type I starch synthesis genes, and RSR1 deﬁciency results in the enhanced expression of starch synthesis genes in seeds. Seeds of the knockout mutant rsr1 consistently show the increased amylose content and altered ﬁne structure of amylopectin and consequently form the round and loosely packed starch granules, resulting in decreased gelatinization temperature. In addition, rsr1 mutants have a larger seed size and increased seed mass and yield. In contrast, RSR1 overexpression suppresses the expression of starch synthesis genes, resulting in altered amylopectin structure and increased gelatinization temperature. Interestingly, a decreased proportion of A chains in rsr1 results in abnormal starch granules but reduced gelatinization temperature, whereas an increased proportion of A chains in RSR1 -overexpressing plants leads to higher gelatinization temperatures, which is novel and different from previous reports, further indicating the complicated regulation of starch synthesis and determination of the physicochemical properties of starch. These results demonstrate the potential of coexpression analysis for studying rice starch biosynthesis and the regulation of a complex metabolic pathway and provide informative clues, including the characterization of RSR1, to facilitate the improvement of rice quality and nutrition.
Frontiers of Biogeography Species distribution modeling to inform transboundary species conservation and management under climate change: promise and pitfalls

Spatially explicit biogeographic models are among the most used methods in conservation biogeography, with correlative species distribution models (SDMs) being the most popular among them. SDMs can identify the potential for species’ and community range shifts under climate change, and thus can inspire, inform, and guide complex and adaptive conservation management planning efforts such as collaborative transboundary conservation frameworks. However, SDMs are rarely developed collaboratively, which would be ideal for conservation applications of such models. Further, SDMs that are applied to conservation often do not follow best practices of the field, which are particularly important for applications in climate change contexts for which model extrapolation into potentially novel climates is necessary. Thus, while there is substantial promise, particularly among machine-learning based SDM approaches, there are also many pitfalls to consider when applying SDMs to conservation, and especially in the context of transboundary management under climate change. Here, we summarize these pitfalls and the key steps to mitigate them and maximize the promise of applying SDMs to facilitate transboundary conservation planning under climate change. We argue that conservation modeling capacity must be elevated among practitioners such that they can easily implement best practices when using SDMs, especially regarding: 1) avoiding model overcomplexity, 2) addressing input data bias, and 3) accounting for uncertainty in model extrapolations and projections. While our discussion centers mainly on the pitfalls and opportunities of applying the most popular correlative SDM algorithm, Maxent, our suggestions can also be generalized to a range of other SDM tools. Overall, improved training in, tools for, and implementation of best practices in biogeographic models such as SDMs hold great promise to facilitate and help guide complex, transboundary collaborations for long-term planning of conservation under climate change.
Imaging caffeine-induced Ca 2 (cid:49) transients in individual fast-twitch and slow-twitch rat skeletal muscle ﬁbers

Imaging caffeine-induced Ca 2 (cid:49) transients in individual fast-twitch and slow-twitch rat skeletal muscle ﬁbers. Am. J. Physiol. 274 ( Cell Physiol. 43): C623–C632, 1998. —Fast-twitch and slow-twitch rat skeletal muscles produce dissimilar contractures with caffeine. We used digital imaging microscopy to monitor Ca 2 (cid:49) (with ﬂuo 3-acetoxymethyl ester) and sarcomere motion in intact, unrestrained rat muscle ﬁbers to study this difference. Changes in Ca 2 (cid:49) in individual ﬁbers were markedly different from average responses of a population. All ﬁbers showed discrete, nonpropagated, local Ca 2 (cid:49) transients occurring randomly in spots about one sarcomere apart. Caffeine increased local Ca 2 (cid:49) transients and sarcomere motion initially at 4 mM in soleus and 8 mM in extensor digitorum longus (EDL; (cid:44) 23°C). Ca 2 (cid:49) release subsequently adapted or inactivated; this was surmounted by higher doses. Motion also adapted but was not surmounted. Prolonged exposure to caffeine evidently suppressed myoﬁlament interaction in both types of ﬁber. In EDL ﬁbers, 16 mM caffeine moderately increased local Ca 2 (cid:49) transients. In soleus ﬁbers, 16 mM caffeine greatly increased Ca 2 (cid:49) release and produced propagated waves of Ca 2 (cid:49) ( (cid:44) 1.5–2.5 µm/s). Ca 2 (cid:49) waves in slow-twitch ﬁbers reﬂect the caffeine-sensitive mechanism of Ca 2 (cid:49) -induced Ca 2 (cid:49) release. Fast-twitch ﬁbers possibly lack this mechanism, which could account for their lower sensitivity to caffeine. indicator dye ﬂuorescence changes occur over one plane of an image obtained by confocal microscopy (17, 35).
The role of coherent structures in the generation of noise for subsonic jets

The coherent structure in high Reynolds number (184,000 to 262,000), Mach number 0.6 to 0.8 axisymmetric cold air jets exhausting at atmospheric pressure was studied. The mean flow and the statistical time averaged turbulence properties were measured. Spectra showed a very broad frequency content which shifted towards the lower frequencies as the flow progressed downstream. Axial wave number measurements indicate that the axial wave number-frequency relationship was the same for a wide range of Mach (0.3 to 2.5) and Reynolds (3,700 to over 200,000) numbers. Measurements of the azimuthal mode numbers show that several modes from n = -3 to +3 exist simultaneously in various quantities that the different frequencies studied. Acoustic measurements were made in the near field of the Mach number 0.6 jet. Sound pressure level contours showed that noise appeared to be radiated from a location near the end of the potential core. Directivity plots revealed that the spectra of this noise shifted towards higher frequencies as the angle from the jet axis increased. It was also found that mid-band excitation frequencies produced an increase in full spectrum noise.
FINITENESS OF INJECTIVE DIMENSION OF MODULES

The Chouinard formula for the injective dimension of a module over a noetherian ring is extended to Gorenstein injective dimension. Speciﬁ- cally, if M is a module of ﬁnite positive Gorenstein injective dimension over a commutative noetherian ring R , then its Gorenstein injective dimension is the supremum of depth R p − width R p M p , where p runs through all prime ideals of R . It is also proved that if M is ﬁnitely generated and non-zero, then its Gorenstein injective dimension is equal to the depth of the base ring. This generalizes the classical Bass formula for injective dimension.
EFFECT OF PRE-HARVEST SPRAYING ON YIELD AND FRUIT QUALITY OF WASHINGTON NAVEL ORANGE FRUITS

This investigation was carried out during the two successive seasons of (2007 and 2008) to examine the effectiveness of pre-harvest spraying of vitamin C (ascorbic acid) at 6 % and 12 %, yeast at 1 g/liter and 3 g/liter, sugars at 0.20 % and 0.30 % and gibberellic acid at 100 ppm and 200 ppm as well as control treatment on yield and fruit quality of Washington Navel orange fruits. The obtained data indicated that fruit weight, yield (number of fruits per tree and weight of fruits per tree kgm) significantly increased with increasing the concentrations of all treatments. In addition, the highest values of fruit quality resembled by increasing total soluble solids, ascorbic acid, reducing sugars, non-reducing sugars, total sugars and decreasing fruit acidity.