Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite Frequency H∞ Control of Fractional-Order Continuous–Discrete 2-D Roesser Models

The <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> control problem of fractional-order continuous-discrete 2D Roesser models in the finite frequency is investigated in this brief. Firstly, based on the frequency-partitioning method and generalized Kalman–Yakubovi<inline-formula> <tex-math notation="LaTeX">$\check {\text {c}}$ </tex-math></inline-formula>–Popov lemma, the finite frequency bounded real lemmas in form of linear matrix inequalities (LMIs) are proposed, which can be solved by LMI solvers immediately. Then, the <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> state feedback controller is designed, and the existence conditions are established in form of bilinear matrix inequalities (BMIs). Moreover, by the provided iterative algorithm, these BMI-based conditions can be solved based on LMIs. Finally, the numerical examples are provided verify the validity of our results.
Sporulation, Structure Assembly, and Germination in the Soil Bacterium Bacillus thuringiensis: Survival and Success in the Environment and the Insect Host

Bacillus thuringiensis (Bt) is a rod-shaped, Gram-positive soil bacterium that belongs to the phylum Firmicutes and the genus Bacillus. It is a spore-forming bacterium. During sporulation, it produces a wide range of crystalline proteins that are toxic to different orders of insects. Sporulation, structure assembly, and germination are essential stages in the cell cycle of B. thuringiensis. The majority of studies on these issues have focused on the model organism Bacillus subtilis, followed by Bacillus cereus and Bacillus anthracis. The machinery for sporulation and germination extrapolated to B. thuringiensis. However, in the light of recent findings concerning the role of the sporulation proteins (SPoVS), the germination receptors (Gr), and the cortical enzymes in Bt, the theory strengthened that conservation in sporulation, structure assembly, and germination programs drive the survival and success of B. thuringiensis in the environment and the insect host. In the present minireview, the latter pinpointed and reviewed.
Coupled multi-domain BEM and FEM for fluid-structure interaction analysis

The method for dynamic analysis of shell structures interacting with a liquid is presented in this paper. The coupled problem is solved using a combination of reduced boundary and finite element methods. The axisymmetric structures, such as compound shells of revolution with internal baffles and Francis turbine wheel, are under consideration. The compound shell was the model of capacity for liquid storage. The tank structure is modelled by the finite element method and the fluid region is described by the direct boundary element method. The method relies on determining the fluid pressure from the system of singular integral equations using multi-domain approach. After applying the direct boundary element formulation in every sub-domain, the final system of equations with sparse matrix was obtained by use of matching conditions in the interfaces between sub-domains. The shell is considered as thin one, and Kirghoff–Lave linear theory hypotheses are applied. The liquid is ideal and incompressible. Differential equations of transient problem are solved numerically by the Runge– Kutta method of 4th and 5th order. Numerical investigations of free and forced vibrations of the compound shells filled with the incompressible fluid under different loadings have been carried out. The example of the shell structure in a form of the Francis turbine sector is also under consideration. Here, a multidomain approach was compared with the hypersingular integral equation method.
Aerobics Low Impact terhadap Tekanan Darah pada Penderita Hipertensi

This study aims to examine the effectiveness of low impact aerobics on blood pressure in patients with hypertension. The method used is a systematic review by browsing articles on the Scopus, ScienceDirect, EBSCO, ProQuest, PubMed and Google Scholar databases based on PRISMA guidelines. The results showed that the intervention of low impact aerobic exercise significantly affected the blood pressure of hypertensive patients. In conclusion, low impact aerobics can improve health-related quality of life and lower blood pressure in hypertensive patients. Keywords: Aerobics, Hypertension, Blood Pressure
módulo de búsqueda de personas dentro de una base de datos de rostros

The digital processing of images take more importan ce every day. Generally, the algorithms used for processing these images are of high computational c omplexity caused by the amount of data to process and operations executed on them. For this r ea on many of these operations involving matrix an d vectors calculations, are carried to hardware in th e graphics card to not load the processor unit (CPU ) and increase performance. This work consists about implementing a module to s earch for people in a database faces through
The visibility of syntactic movement to phonological component in Japanese

This study aims at clarifying the interaction betwe en argument structure and prosody in Japanese in connection with movement operation in g eneral through the observation of various sorts of F0 boosting operations. We found that the adjunct-argument-head sequences ( the normal word order) were pronounced in such a way that the structures yielde d a gradually descending F 0 contour, while the argument-adjunct-head sequences (the scrambled word order) were pronounced with higher F 0 values in the adjunct positions than those in the p receding argument positions in both of the NP and the VP cases. In other words, F 0 booting effect was observed on the adjunct positio ns in the scrambled word order cases. We might interpret this result as argument-adjunct asymmetry on the realization of prosody to the effect that adjuncts consistently induce F 0 booting in Japanese. However, we found that adjuncts did not induce higher F 0 values in the simple adjunct-head sequences than arguments did in the simple argument-head sequences i either NP or VP cases, which implies that the F0 boosting effect observed in adjunct positions in t he scrambled word order may in fact be caused by the leftward movement operation of the ar guments. This interpretation was supported by the behaviors of F 0 contours of double object constructions with and w ithout scrambling such that the structures without scrambling yielded the norma l downstepping pattern, whereas those with short scrambling showed the F 0 boosting effect immediately after the scrambled ob ject. The generalization from these observations is that leftward movement o peration, scrambling, (or traces left behind by the operation) must be visible to phonological comp nent in Japanese in order to produce surface F 0 contours. Similar observation was found in uniformly left-bra nching structures consisting of four accented Prosodic Words which involve relative clau se structure. When the antecedent stood in the
Principle and Application of Automatic Accurate Measurement of Stem Volume by Using Electronic Theodolite

Measuring tree volume by hewing down is a destructive experiment which costs many financial and material resources. In practice,stumpage measuremental method can avoid the forest's damage,but being limited to the instrument environment,accuracy and large amount of work. This paper proposed a new measurement on stem volume by using electronic theodolite. In this study,202 larch trees in the stands of Experimental Forest Farm of Wangyedian,Harqin Banner,Chifeng City,Inner Mongolia Autonomous Region,were measured in high precision with their DBH,ground diameter,and tree height data using the related software. In addition,180 larch trees were selected for establishing the best fitted unigram volume model and binary volume model by using empirical equation. The volumes of the rest 22 larch trees were calculated by the equation for comparing. The results indicated that the volume was very close by using electronic theodolite and traditional empirical formula,which means that the new method of using electronic theodolite to calculate stem volume of trees could substitute the traditional method of calculating stem volumes by cutting them down.
On The Ship Trajectory Tracking LQG ControllerDesign

The paper considers a problem of ship trajectory tracking control synthesis based on linear Nonioto model of ship dynamics complemented by lineari/cd equations of ship motion kinematics. In the course of state estimation, however, in order to handle influence of errors due to model simplifications as well as environmental disturbances some extra variables, modeled as random walks (Fosscnjll), are introduced. The Kalman filtering technique was then used. This way the whole problem was formali/cd as LQG-like optimal regulator problem. A number of simulations confirms the efficiency of adopted solution technique even in extremal conditions . In the course of simulations the influence of waves is modeled via specifically prefiltered white noise (Lukomski at al.|2|).
Automatic Structure Generation using Genetic Programming and Fractal Geometry

Three dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the advantages offered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and effectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results offer insight into future applications and study in the field of computational aesthetics and automated structure design.
Frequency of Depression in Patients Suffering from Non-Epileptic Fits

Introduction: The most prevalent and severe type of mental disease, depression affects 60–70% of adults, primarily between the ages of 15 and 35. Not only are the patients affected by this terrible disorder, but also their care givers and families. It has long been known that depression often manifests as a variety of psychosomatic conditions, one of which is non-epileptic fits, which are typically more common in children and women than men. Therefore, the majority of patients who present to a psychiatric emergency room, outpatient department, or ward having non-epileptic fits have underlying depression. This was one of the few studies conducted on the prevalence of depression in patients experiencing non-epileptic fits in Pakistan, particularly in province, Khyber Pakhtunkhwa. Study Design and Study Area: In the psychiatry department of Khyber Teaching Hospital Peshawar, this descriptive cross-sectional study was conducted. Duration of Study: The duration of study was 06 months i.e. from 30th march, 2015 to 30th September, 2015. Materials and Methods: The study included 162 patients who presented to the hospital with non-epileptic fits and had ages ranging from 20 to 40 years. The study excluded non-consenting individuals, those with organic brain disorders, and those who had another psychiatric diagnosis already. On a proforma that was especially created, variables were recorded. The BDI depression scale was used to evaluate the depression screening process. Results: Of 193 patients, 162 met the requirements for study. The patients were estimated to have a mean age of 25.44 years, with a standard deviation of 14.25 years. Only 32 patients (20%) were female, while remaining 130 (80%) patient were male. Majority 88 (56%) individuals were uneducated. 46 people (32%) had education up to the primary level, 14 (8%) were matriculating, and 12 (4%) were graduates. 40 people (25%) were single, 94 people (58%) were wed, and 28 people (17%) were widows or widowers. 30 people (19%) were working and 132 (81%) were unemployed. 62 persons had been seeking care for more than 24 months, compared to 8 who had been doing so for less than 24 months, 20 persons for less than 18 months, 14 patients having duration of illness for less than 12 months and 12 patients of less than 6 months period of illness. Only when non-epileptic fits were linked to the depression (p value 0.004) was statistical significance observed. When depression was compared to the patient's gender, marital status, educational attainment, length of care, and occupation, there was no statistically significant difference. Conclusions: The majority of people who have non-epileptic fits also have depression. Age of onset of non-epileptic fits and depression are significantly correlated, whereas gender, educational level, marital status, occupation, length of illness, and patient's family history are not. Keyword: Psychological distress, depression, non-epileptic fits, KTH.
The Potential Use of Near- and Mid-Infrared Spectroscopy in Kidney Diseases

Traditional renal biomarkers such as serum creatinine and albuminuria/proteinuria are rather insensitive since they change later in the course of the disease. In order to determine the extent and type of kidney injury, as well as to administer the proper therapy and enhance patient management, new techniques for the detection of deterioration of the kidney function are urgently needed. Infrared spectroscopy is a label-free and non-destructive technique having the potential to be a vital tool for quick and inexpensive routine clinical diagnosis of kidney disorders. The aim of this review is to provide an overview of near- and mid-infrared spectroscopy applications in patients with acute kidney injury and chronic kidney disease (e.g., diabetic nephropathy and glomerulonephritis).
Evidências de Validade do Teste Informatizado para Avaliação das Funções Executivas

Resumo Funções executivas (FE) referem-se ao conjunto de habilidades que, de forma integrada, coordenam o comportamento e a cognição. Assim, o comprometimento no desenvolvimento das FE está ligado a vários desfechos negativos ao longo da vida. Portanto, a avaliação dessas habilidades na infância é essencial para identificar e prevenir prejuízos na vida adulta. Este estudo teve como objetivo investigar evidências de validade do Teste Informatizado para Avaliação das Funções Executivas (Tafe) pelo critério de idade e pelo padrão de correlação entre medidas do TAFE e outras medidas de FE. Para isso, foi utilizada uma amostra de 51 crianças, entre 4 e 10 anos de idade, matriculadas em uma escola privada na cidade de Goiânia (GO), da pré-escola ao 4º ano do ensino fundamental. Como instrumentos, foram utilizados, além do Tafe, as tarefas de Bloco de Corsi, Teste de Trilhas A e B, Teste de Trilhas Pré-Escolares, Teste de Stroop Pré-Escolares e Subteste Dígitos da Escala Wechsler de Inteligência. Foram conduzidas análises estatísticas Kruskal Wallis para verificar a evidência de validade por relação com idade e análises de correlação não paramétrica de Spearman para avaliar as evidências de validade convergente. O instrumento investigado mostrou-se efetivo para discriminar entre as diferentes faixas etárias, assim, sensível ao desenvolvimento das FE. Os resultados obtidos no Tafe correlacionaram-se aos obtidos em outros testes que também avaliaram FE, mostrando claros padrões de convergência. Logo, as análises dos resultados fornecem evidências de validade ao Tafe, derivadas a partir de diferentes estratégias de investigação.
Preparation and mechanism analysis of nano-Mg(OH)2 by electroconversion of MgCl2

Abstract The preparation and application of porous laminated nanomaterials have been widely concerned because of their large surface area, abundant active sites, and enhanced mass transmission and diffusion. This study used a simple and economical method to synthesize metal hydroxide by the cationic membrane electroconversion synthesis method (CMESM). However, CMESM is not a typical metal electrodeposition process, it is a pseudoelectrolysis process, there is no gain or loss of metal electrons, but metal deposits will be generated. Therefore, its mechanism cannot be studied by conventional electrochemical methods. Thus, we change the research ideas, take the cheap and easy-to-obtain MgCl2·6H2O as raw material, use the chemical precipitation method and the cation membrane permeation method as comparative experiments, study the effect of different current densities on the product, and discuss the mechanism of CMESM. The results show that the Mg(OH)2 nanosheets are electric field induced and assembled into a three-dimensional porous layered petal structure with a large specific surface area and aperture. The metal hydroxides with low cost and high purity can be prepared by cationic membrane electrolytic synthesis.
Donor Pericardial Interleukin and Apolipoprotein Levels May Predict the Outcome after Human Orthotopic Heart Transplantation

The proinflammatory cascade that is activated at the time of brain death plays a crucial role in organ procurement. Our aim of this study was to explore the relationship between the clinical outcome of orthotopic heart transplantation, as well as cytokine and apolipoprotein profiles of the pericardial fluid obtained at donation. Interleukin, adipokine and lipoprotein levels in the pericardial fluid, as well as clinical data of twenty donors after brain death, were investigated. Outcome variables included primary graft dysfunction, the need for posttransplantation mechanical cardiac support and International Society for Heart and Lung Transplantation grade ≥ 2R rejection. Hormone management and donor risk scores were also investigated. Lower levels of IL-6 were observed in primary graft dysfunction (median: 36.72 [IQR: 19.47–62.90] versus 183.67 [41.21–452.56]; p = 0.029) and in the need for mechanical cardiac support (44.12 [20.12–85.70] versus 247.13 [38.51–510.38]; p = 0.043). Rejection was associated with lower ApoAII (p = 0.021), ApoB100 (p = 0.032) and ApoM levels (p = 0.025). Lower adipsin levels were detected in those patients receiving desmopressin (p = 0.037); moreover, lower leptin levels were found in those patients receiving glucocorticoid therapy (p = 0.045), and higher T3 levels were found in those patients treated with L-thyroxine (p = 0.047) compared to those patients not receiving these hormone replacement therapies. IL-5 levels were significantly associated with UNOS-D score (p = 0.004), Heart Donor Score (HDS) and Adapted HDS (p < 0.001). The monitoring of immunological and metabolic changes in donors after brain death may help in the prediction of potential complications after heart transplantation, thus potentially optimizing donor heart allocation.
Deep constrained spherical deconvolution for robust harmonization

Diffusion weighted magnetic resonance imaging (DW-MRI) captures tissue microarchitecture at a millimeter scale. With recent advantages in data sharing, large-scale multi-site DW-MRI datasets are being made available for multi-site studies. However, DW-MRI suffers from measurement variability (e.g., inter- and intra-site variability, hardware performance, and sequence design), which consequently yields inferior performance on multi-site and/or longitudinal diffusion studies. In this study, we propose a novel, deep learning-based method to harmonize DW-MRI signals for a more reproducible and robust estimation of microstructure. Our method introduces a data-driven scanner-invariant regularization scheme to model a more robust fiber orientation distribution function (FODF) estimation. We study the Human Connectome Project (HCP) young adults test-retest group as well as the MASiVar dataset (with inter- and intra-site scan/rescan data). The 8 th order spherical harmonics coefficients are employed as data representation. The results show that the proposed harmonization approach maintains higher angular correlation coefficients (ACC) with the ground truth signals (0.954 versus 0.942), while achieves higher consistency of FODF signals for intra-scanner data (0.891 versus 0.826), as compared with the baseline supervised deep learning scheme. Furthermore, the proposed data-driven framework is flexible and potentially applicable to a wider range of data harmonization problems in neuroimaging.
Direct Conversion of Hybrid Precoding and Combining From Full Array Architecture to Subarray Architecture for mmWave MIMO Systems

Hybrid precoding and combining for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems with subarray (SA) architecture is a promising technology for 6G because of their low complexity, cost, and power consumption compared to the full array (FA) architecture. This paper proposes an iterative algorithm for designing hybrid precoding and combining for the SA architecture. It is called direct conversion of iterative hybrid precoding and combining from FA to SA (DCIFS). The proposed algorithm involves an iterative process that begins by designing a hybrid precoding and combining matrix for the FA structure and then converts it into an SA matrix by setting certain entries to zero while achieving better performance. It does not depend on the antenna array geometry, unlike other techniques such as the orthogonal matching pursuit (OMP) hybrid precoding and combining approach. We investigate the proposed algorithm with two scenarios. In the first scenario, we use the proposed DCIFS scheme only at the base station (BS) and the iterative FA hybrid scheme at the mobile station (MS), whereas in the second, we use the proposed DCIFS scheme at both the BS and the MS. Simulation results demonstrate that the proposed design approach achieves a spectral efficiency comparable to that of the FA hybrid design counterpart, especially for a large system, while maintaining low complexity. For example, when SNR = 0 dB and the number of transmitted streams ( $N_{s}$ ) = 2, the proposed algorithm provides about 1.5 bps/Hz spectral efficiency gain compared to the OMP hybrid design for the first scenario. Moreover, when the number of iterations is low and the number of BS antenna and $N_{s}$ is high, the proposed approach outperforms the conventional SA hybrid design in terms of spectral efficiency with the same hardware complexity.