Miracle-dz/UniFAR-FTUs huggingface dataset:
ATIVIDADE FÍSICA RELACIONADA À PERCEPÇÃO DE QUALIDADE DE VIDA EM PARTICIPANTES DE UNIVERSIDADE ABERTA À TERCEIRA IDADE: UMA REVISÃO SISTEMÁTICA

EnglishThis study investigated the literature from 2010 to 2020 to verify whether participants of the Open University for Senior Citizens (UNATI, in the Portuguese acronym) relate physical activity to quality of life. The research methodology included a systematic search in 11 databases with the DeCS/MeSH descriptors for quality of life and physical activity in addition to the keyword UNATI in Portuguese and its equivalents in English and Spanish. The search found 4719 studies, 11 of these articles were considered for the final analysis. Among the studies reviewed, two are in the form of interventions and nine cross-sectional studies. In all studies, physical activity was related to high quality of life according to the participants of Open University for Senior Citizens. It was possible to identify in the literature direct benefits of physical activity for a positive perception of quality of life by the participants of the Open University for Senior Citizens. portuguesO objetivo deste estudo foi investigar na literatura, de 2010 ate 2020, se a pratica da atividade fisica esta relacionada ou associada a percepcao de qualidade de vida em participantes de Universidade Aberta a Terceira Idade (UNATI). Como metodologia, foi realizada a revisao sistematica da literatura, com busca em 11 bases de dados, nos descritores DeCS/MeSH para qualidade de vida e atividade fisica e a palavra-chave UNATI em Portugues, Ingles e Espanhol. Foram encontrados 4.719 estudos, sendo que 11 artigos foram aceitos na composicao final. Nos estudos que compuseram esta revisao, 2 sao de intervencao e 9 transversais. A atividade fisica mostrou estar relacionada a bons escores de qualidade de vida em idosos unatianos em todos os estudos. Foi possivel identificar que a literatura aponta beneficios diretos da atividade fisica para percepcao positiva da qualidade de vida em unatianos.
Appraising The Influence Of Theory Of Consumption Values On Environmentally-Friendly Product Purchase Intention In Indonesia

According to past studies, solving environmental problems should be initiated not only by companies and government but also by consumers as they play an important role in consumption activities. One of the initiatives can be taken by consumers in environmental preservation is by purchasing environmentally-friendly product. This study attempted to explore the environmentally-friendly product purchase intention by employing the theory of consumption values. The scope of this study is to identify which of these consumption values can influence the purchase intention for environmentally-friendly product. The object chosen for this study is environmentally-friendly fashion product, specifically environmentally-friendly shoes made from recycled plastic waste from the sea. A total of 115 respondents participated in this study. This study employed Partial Least Square to assess the validity, reliability as well as to test research hypotheses. Based on the result, functional, emotional, and epistemic value were proven to be significant in affecting purchase intention for environmentally-products, in which emotional value contributed the biggest effect. Meanwhile, social and conditional value were found to be insignificant. The result of this study emphasized the importance of the functional, emotional, and epistemic aspect of environmentally-friendly product as consumers considers these values the most when making a purchase decision.
Generating quantitative binding landscapes through fractional binding selections, deep sequencing and data normalization

Quantifying the effects of various mutations on binding free energy is crucial for understanding the evolution of protein-protein interactions and would greatly facilitate protein engineering studies. Yet, measuring changes in binding free energy (ΔΔGbind) remains a tedious task that requires expression of each mutant, its purification, and affinity measurements. We developed a new approach that allows us to quantify ΔΔGbind for thousands of protein mutants in one experiment. Our protocol combines protein randomization, Yeast Surface Display technology, Next Generation Sequencing, and a few experimental ΔΔGbind data points on purified proteins to generate ΔΔGbind values for the remaining numerous mutants of the same protein complex. Using this methodology, we comprehensively map the single-mutant binding landscape of one of the highest-affinity interaction between BPTI and Bovine Trypsin. We show that ΔΔGbind for this interaction could be quantified with high accuracy over the range of 12 kcal/mol displayed by various BPTI single mutants.
Marketing Mixed Strategy on Increasing Amount of Tenant: Case Study in Focal Point Medan

Mall property business is one of the promising prospects in Indonesia. This is indicated by the mushrooming number of malls in Indonesia as many as 708 units, while specifically in the city of Medan recorded as many as 15 units of malls or shopping centers that exist. There is a uniqueness along the Ringroad Street, Medan, where there are 3 (three) malls namely Medan Focal Point, Ringroad City Walk and Manhattan Times Square. However, among the three malls, Medan Focal Point is experiencing stagnation in terms of visitors and also the number of tenants. The number of tenants in Medan Focal Points from 2014 to 2019 decreased. This is due to among other things the comfort of the building, the location of parking, communication with management, the lack of promotion which in turn causes the number of visitors to decrease. The results showed simultaneously, there was a positive and significant influence of the 7P marketing mix on the decision to use space in Medan Focal Point. While partially only two variables namely "Promotion" and "Process" which have a positive and significant effect on the decision to use space in Medan Focal Point. While 5 (five) other variables (Product, Price, Place, Physical Evidence, and People) do not have a partial correlation with the decision to use space in Medan Focal Point. Whereas strategic advice is addressed to Medan Focal Point management so that managers pay attention and focus on the management of their promotions and processes, including the procurement of events to increase public knowledge of Medan Focal Points and interact with tenants, listen to their aspirations and facilitate administration and others so that tenants feel fulfilled what is their complaint.
Early Change Detection in Dynamical Bearing Degradation Process Based on Hierarchical Graph Model and Adaptive Inputs Weighting Fusion

Early detection of changes, that are from normal to abnormal in dynamical degradation process, is essential to enhance the function of bearings during their long-term service time. This article presents a new and practical method for this problem based on hierarchical graph model (HGM) coupled with adaptive inputs weighting (AIW) fusion. Hierarchical decomposition (HD) is first adopted on the raw vibration signal, such that the inspection of bearing health condition can be allowed over different multiple scales. HGMs are then constructed from each decomposed components that are resulted from HD. AIW is employed to aggregate all constructed HGMs by taking into account their difference in characterization of dynamical bearing health condition. A common hypothesis testing is finally adopted to make decision. Experiments are conducted on two publicly available datasets. Results demonstrate the effectiveness of the proposed method; meanwhile, comparisons with benchmarking methods suggest its good potential in real applications.
Adaptive Output Feedback Funnel Control of Uncertain Nonlinear Systems With Arbitrary Relative Degree

This article considers the problem of output feedback funnel control for a class of uncertain nonlinear systems with arbitrary known relative degree. By utilizing the funnel control approach with a barrier Lyapunov function, a novel adaptive output feedback controller is constructed recursively, which accomplishes the output tracking with prescribed transient behavior. The developed control scheme features that the precise knowledge of system nonlinearities, including generally required bounding functions, is not needed. A physical example is performed to verify the effectiveness of the proposed theoretical findings.
Kidney Biopsy Is Required for Nephrotic Syndrome with PLA2R+ and Normal Kidney Function: Pro.

It is hard to remember life before phospholipase A2 receptor (PLA2R). The identification by Beck et al. (1) in 2009 of the M-type PLA2R as the target antigen in membranous nephropathy (MN) was truly a monumental discovery, and PLA2R antibody testing has revolutionized the management of MN (2). Imagine a conversation 11 years ago about PLA2R antibody testing: Indeed, what is left for this amazing biomarker to prove? One hurdle that PLA2R antibody testing has yet to clear is to qualify as a diagnostic biomarker—that is, PLA2R antibody testing would replace kidney biopsy to diagnose MN. Over the last decade, multiple studies have described the impressive test characteristics of PLA2R antibody, particularly with regard to specificity, which ranges from 98% to 100%. Some of the most compelling data supporting the PLA2R antibody as a diagnostic biomarker comes from my debate counterparts, Bobart and Fervenza. In order to argue for kidney biopsies in patients with PLA2R antibodies, I must convince the reader that the current evidence is not strong enough to support PLA2R antibody testing as a diagnostic biomarker for MN. This was a retrospective analysis of 838 unique patients who had 1362 PLA2R antibody tests from 2015 to 2018 at three Mayo Clinic locations (Minnesota, Florida, and Arizona). Of the 143 …
Controllable Orthogonal Mode Rejection for Smart Polarization Diversity at Millimeter-Wave Frequency

A ferromagnetic loaded device for controllable orthogonal mode rejection at millimeter-Wave is presented in this brief. The device is based on dual image dielectric guide (DIDG) capable of supporting both vertical (V-mode) and horizontal (H-mode) polarization. Two ferrite pillboxes are placed vertically (axis parallel to V-mode) and horizontally (axis parallel to H-mode) beside and above the DIDG, receptively. These pillboxes act as whispering gallery mode resonators interacting with the mode parallel to their axis depending on the applied magnetic DC bias, resulting in controllable mode rejection beneficial in smart antenna systems. Despite traditional magnetically tunable ferrite based components, the proposed design is mostly based on the direction of the magnetic bias requiring a small magnetic bias of 1 mT. An aperture coupling transition from Microstrip line to DIDG is used to perform orthogonal mode decomposition as well as proposing planar circuits excitation and integration. Measured polarization filtering bandwidth provided by each pillbox is 0.4 GHz having insertion loss higher than 10 dB (no transmission) and port isolation of higher than 15 dB. Insertion loss of the case, when the rejection mechanism is off, is around 3 dB.
Analysis of Toxoplasma gondii Repeat Region 529 bp (NCBI Acc. No. AF146527) as a Probe Candidate for Molecular Diagnosis of Toxoplasmosis

generated by an Adobe application 11.5606 Toxoplasmosis is a disease caused by protozoan parasite Toxoplasma gondii. The infection is commonly asymptomatic. The availability of confirmative and accurate detection system is really needed. This research was aimed to develop a molecular diagnosis based on the conserved and high copy number repeat region of Toxoplasma gondii with hibridization method. Nucleic acid was isolated from tachyzoites. The repeat region of T. gondii was amplified using PuRe Taq Ready To Go-PCR Beads (Amersham Bioscience), forward primer 5’- GAC TCG GGC CCA GCT GCG -3’ and reverse primer 5’- CCT CTC CTA CCC CTC CTC -3’. The amplicon was sequenced using ABI Prism 3100-Avant Genetic Analyzer (PT. Charoen Pokphand, Jakarta). Probe was labeled using digoxigenin -11-dUTP. Application of probe to detect it’s complementary nucloeic acid was done by hibridization method. The research concluded that probe toxo -103 bp was highly homolog with several strain of T. gondii and it has no homology either with host’s genome or other parasites which have close genetic relationship with T. gondii . Hybridization analysis showed that probe could detect the complementary nucleic acid up to 10 ng/ u l concentration. Normal 0 36 false false false
A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data

The rapidly-growing business of ride-on-demand (RoD) service such as Uber, Lyft and Didi proves the effectiveness of their new service model – using mobile apps and dynamic pricing to coordinate between drivers, passengers and the service provider, to manipulate the supply and demand, and to improve service responsiveness as well as quality. Despite its success, dynamic pricing creates a new problem for drivers: how to seek for passengers to maximize revenue under dynamic prices. Seeking route recommendation has already been studied extensively in traditional taxi service, but most studies do not consider the effects of taxis and passengers on the seeking taxi simultaneously. Further, in RoD service it is necessary to consider more factors such as dynamic prices, the status of other transportation services, etc. In this paper, we employ a force-directed approach to model, by analogy, the relationship between vacant cars and passengers as that between positive and negative charges in electrostatic field. We extract features from multi-source urban data to describe dynamic prices, the status of RoD, taxi and public transportation services, and incorporate them into our model. The model is then used in route recommendation in every intersection so that a driver in a vacant RoD car knows which road segment to take next. We conduct extensive experiments based on our multi-source urban data, including RoD service operational data, taxi GPS trajectory data and public transportation distribution data, and results not only show that our approach outperforms existing baselines, but also justify the need to incorporate multi-source urban data and dynamic prices.
High-Speed Performance Evaluation of Graded-Index Multicore Fiber Compatible With Multimode and Quasi-single Mode Operation

A comprehensive study on the optical characteristics and high-speed transmission performance of a hexagonally arrayed seven-core fiber supporting both multimode transmission at 850 nm and quasi-single mode transmission at 1310 and 1550 nm are presented. We investigated its optical and transmission characteristics such as inter-crosstalk, modal bandwidth, chromatic dispersion, and misalignment tolerance. The results show that the multicore fiber (MCF) has a high bandwidth at 850 nm while remaining a comparable performance with standard single-mode fiber (SSMF) at 1310 and 1550 nm. The worst inter-core crosstalk is less than −43 dB over a 10 km-long MCF connected with a pairwise fan-in/fan-out devices. The minimum effective modal bandwidth of 8.44 GHz$\cdot$km is achieved with the MCF for multimode operation, while the chromatic dispersion of the MCF at 1550 nm only increases by 7% compared with that of SSMF. In experiment, we successfully performed the 7 × 25 Gb/s multimode transmission over a 300 meter-long MCF at 850 nm and quasi-single mode transmission over a 12.4 and 10 km-long fiber at 1310 and 1550 nm, respectively, with an OOK modulation format. There was no obvious degradation observed when all cores operated simultaneously. Moreover, we carried out 7 × 50 Gb/s PAM4 transmission over a 300 meter-long and 10 km-long MCF at 850 and 1310 nm, respectively, as well as 7 × 40 Gb/s PAM4 transmission over a 10 km-long MCF at 1550 nm. A BER which is well below the forward error correction (FEC) threshold (5 $\times\, 10^{-5}$) was reached for different MCF links.
JTF Analysis of Micromotion Targets Based on Single-Window Variational Inference

This article addresses the problem of joint time–frequency (JTF) analysis of micromotion targets in complex environments in an approximate Bayesian inference framework. First, the sparse observation model is constructed, which is then decomposed into a series of single-window-JTF (SW-JTF) analysis problems to tackle the high dimension of the over-complete dictionary. On this basis, the probabilistic graphical model is constructed by imposing the Gamma-complex Gaussian prior to the JTF distribution. Finally, the model parameters are solved effectively by single-window variational inference (SWVI). Compared with the available methods, the proposed method could obtain better-focused JTF signature for narrowband data and higher quality range-instantaneous Doppler (RID) image for wideband data, especially in low signal-to-noise ratio (SNR) and data corruption scenarios.
Studies on the preparation, characterization, solubility and stability of cefadroxil - β-cyclodextrin inclusion complexes

Cefadroxil - β-Cyclodextrin dispersions were prepared with a view to study the influence of β-CD on the solubility and dissolution rate of this poorly soluble drug. Phase-solubility profile indicated that the solubility of Cefadroxil was significantly increased in the presence of β-cyclodextrin and was classified as AL-type, indicating the 1:4 stoichiometric inclusion complexes. Physical characterization of the prepared systems was carried out by differential scanning calorimetry (DSC), X-ray diffraction studies (XRD) and IR studies. Solid state characterization of the drug β-CD binary system using XRD, FTIR and DSC revealed distinct loss of drug crystallinity in the formulation, ostensibly accounting for enhancement of dissolution rate.
Neuropsychiatric manifestations in multiple sclerosis: Clinical case report and review of literature

Background: Multiple sclerosis (MS) is a neurological disability affecting young and middle-aged adults. Neuropsychiatric manifestations in the background of multiple sclerosis had been reported as a sporadic occurrence. Case description: Here, we report the case of a 57-year-old man who developed neuropsychiatric manifestations during the course of MS. Discussion: In our case, the presence of MS might be a possible reason for the neuropsychiatric manifestations. However, not many case reports have previously acknowledged wherein a patient developed neuropsychiatric symptoms secondary to multiple sclerosis. Conclusion: Hence, this case stresses the need for future studies assessing the relationship between multiple sclerosis and psychosis.
Effect of supercritical ammonia on the physical and chemical structure of ground wood

Pretreatment of hardwood biomass with supercritical ammonia dramatically enhances the susceptibility of the substrate to enzymic hydrolysis. The pretreatment of both hardwoods and softwoods increases the substrate nitrogen content via amidation reactions and increases total pore volume without increasing maximum pore width. Pretreatment does not significantly change the cellulose, hemicellulose, or lignin content of the substrates. Success of the pretreatment for hardwoods appears to result predominantly from cleavage of lignin-carbohydrate bonds and from increasing pore volume. The lower effectiveness against softwoods is apparently due to an inability to open the pore structure to allow penetration of cellulolytic enzymes. (Refs. 24).
A computational pipeline to determine lobular electric field distribution during cerebellar transcranial direct current stimulation

Objective Cerebellar transcranial direct current stimulation (ctDCS) is challenging due to the complexity of the cerebellar structure. Therefore, our objective is to develop a freely available computational pipeline to perform cerebellar atlas-based electric field analysis using magnetic resonance imaging (MRI) guided subject-specific head modeling. Methods We present a freely available computational pipeline to determine subject-specific lobular electric field distribution during ctDCS. The computational pipeline can isolate subject-specific cerebellar lobules based on a spatially unbiased atlas (SUIT) for the cerebellum, and then calculates the lobular electric field distribution during ctDCS. The computational pipeline was tested in a case study using a subject-specific head model as well as using a Colin 27 Average Brain. The 5cmx5cm anode was placed 3 cm lateral to inion, and the same sized cathode was placed on the contralateral supraorbital area (called Manto montage) and buccinators muscle (called Celnik montage). A 4×1 HD-ctDCS electrode montage was also implemented for a comparison using analysis of variance (ANOVA). Results Eta-squared effect size after three-way ANOVA for electric field strength was 0.05 for lobule, 0.00 for montage, 0.04 for head model, 0.01 for lobule*montage interaction, 0.01 for lobule* head model interaction, and 0.00 for montage*head model interaction in case of Enorm. Here, the electric field strength of both the Celnik and the Manto montages affected the lobules Crus II, VIIb, VIII, IX of the targeted cerebellar hemispheres while Manto montage had more bilateral effect. The HD-ctDCS montage primarily affected the lobules Crus I, Crus II, VIIb of the targeted cerebellar hemisphere. Our freely available computational modeling approach to analyze subject-specific lobular electric field distribution during ctDCS provided an insight into healthy human anodal ctDCS results
Machine Learning Techniques for Optical Performance Monitoring and Modulation Format Identification: A Survey

The trade-off between more user bandwidth and quality of service requirements introduces unprecedented challenges to the next generation smart optical networks. In this regard, the use of optical performance monitoring (OPM) and modulation format identification (MFI) techniques becomes a common need to enable the development of next-generation autonomous optical networks, with ultra-low latency and self-adaptability. Recently, machine learning (ML)-based techniques have emerged as a vital solution to many challenging aspects of OPM and MFI in terms of reliability, quality, and implementation efficiency. This article surveys ML-based OPM and MFI techniques proposed in the literature. First, we address the key advantages of employing ML algorithms in optical networks. Then, we review the main optical impairments and modulation formats being monitored and classified, respectively, using ML algorithms. Additionally, we discuss the current status of optical networks in terms of MFI and OPM. This includes standards, monitoring parameters, and the available commercial products with their limitations. Second, we provide a comprehensive review of the available ML-based techniques for MFI, OPM, and joint MFI/OPM, describing their performance, advantages, and limitations. Third, we give an overview of the exiting ML-based OPM and MFI techniques for the emerging optical networks such as the new fiber-based networks that use future space division multiplexing techniques (e.g., few-mode fiber), the hybrid radio-over-fiber networks, and the free space optical networks. Finally, we discuss the open issues, potential future research directions, and recommendations for the potential implementation of ML-based OPM and MFI techniques. Some lessons learned are presented after each section throughout the paper to help the reader identifying the gaps, weaknesses, and strengths in this field.