Miracle-dz/UniFAR-FTUs huggingface dataset:
ISOLATION OF WILD YEAST FOR POTENTIAL USE IN BEER PRODUCTION

There is a limited amount of yeast strains that are currently used in industrial beer brewing. Wild yeasts could provide an alternative to common domesticated brewer’s yeasts by offering a new range of sensory characteristics and improved performance in harsh brewing conditions such as high gravity and high ethanol concentration in wort. High gravity brewing is practical and profitable as it increases production capacity, therefore reducing investment and energy costs. Exploiting the existing natural diversity could lead to finding superior industrial yeasts as well as a better understanding of biodiversity. The aim of the present study was to determine if wild yeast strains isolated from the ecosystem at a regional level (Northeast Mexico) showed favorable characteristics in the brewing process. Sixty-three yeast isolates were obtained from diverse samples including flowers and fruits. Five isolates were selected after three rounds of beer fermentation based on their sensory characteristics. Tests to assess growth over time, flocculation potential, ethanol yield, osmotolerance and ethanol tolerance were applied to two reference yeasts (commercial beer brewing strains) and to the selected isolates of interest which were identified as Saccharomyces cerevisiae by MEX67 amplification and ITS sequencing. The results indicated that the selected wild isolates exhibit characteristics comparable to commercial reference strains in terms of growth and stress tolerance.
Picking up the First Arrivals in VSP Based on Edge Detection

The information of the first arrivals in vsp data plays a very important role in the wave field separation. Picking up the first arrivals of zero-offset vsp, we can acquire the relationship between velocity and time about the underground medium of the well. And it can provide effective technical support and data assurance in the succeeding vsp data processing. This paper implements to pick up the first arrivals in the actual seismic data by some traditional edge detection operators: such as Roberts, Sobel, Prewitt, Laplace, Canny in digital image processing and Matlab functions relevant with operators after establishing the forward model. The experimental results show that canny operator and Laplace operator always have a pseudo-edge effect, the effects of edge detection are not as good as Roberts, Sobel, and Prewitt operator.
Semantic Segmentation to Extract Coronary Arteries in Invasive Coronary Angiograms

Accurate semantic segmentation of each coronary artery using invasive coronary angiography (ICA) is important for stenosis assessment and coronary artery disease (CAD) diagnosis. In this paper, we propose a multi-step semantic segmentation algorithm based on analyzing arterial segments extracted from ICAs. The proposed algorithm firstly extracts the entire arterial binary mask (binary vascular tree) using a deep learning-based method. Then we extract the centerline of the binary vascular tree and separate it into different arterial segments. Finally, by extracting the underlying arterial topology, position, and pixel features, we construct a powerful coronary artery segment classifier based on a support vector machine. Each arterial segment is classified into the left coronary artery (LCA), left anterior descending (LAD), and other types of arterial segments. The proposed method was tested on a dataset with 225 ICAs and achieved a mean accuracy of 70.33% for the multi-class artery classification and a mean intersection over union of 0.6868 for semantic segmentation of arteries. The experimental results show the effectiveness of the proposed algorithm, which provides impressive performance for analyzing the individual arteries in ICAs.
Improved matrix CFAR detector based on K-L divergence and divergence mean}{Improved matrix CFAR detector based on K-L divergence and divergence mean

The target detection of traditional radar, which is usually realized by fast Fourier transforms (FFT) associated with a constant false alarm rate detector, faces the following problems: (1) The Doppler resolution of the FFT is low when the measurement length is short, resulting in Doppler bestriding loss. (2) The broadening of the spectrum causes the clutter energy to disperse toward the target. (3)To the target extended in frequency domain, the single channel detection will lose much energy of the target measures. An improved matrix CFAR detector is proposed, which uses the Kullback-Leibler divergence and divergence mean to replace the geodesic distance and Riemannian mean to overcome the three above-mentioned problems. Its CFAR performance and detection are better than that of the basic matrix CFAR detector; the calculated amount is simultaneously reduced. Finally, the performance of the improved matrix CFAR detector is analyzed by simulation experiments. The results indicate a good performance.
“They’re Not All Grumps”: A Qualitative Process Examination of Two Intergenerational SERVICE-LEARNING Programs

ABSTRACT This study compared two intergenerational service-learning programs in an undergraduate Psychology of Aging class. The longer, more relational intervention, the Lives Well Lived program, matched students and older adults exemplifying “successful aging” in a mutual interviewing, life review project utilizing documentary film, photography, and memoir creation. The comparison intervention also exposed students to older adults exemplifying successful aging, but in a shorter, less relational way. Post-intervention thematic analysis revealed students in the Lives Well Lived program had closer relationships with the older adults, more positivity about their own aging process, and more willingness to engage in future intergenerational relationships.
Memristive devices based hardware for unlabeled data processing

Unlabeled data processing is of great significance for artificial intelligence (AI), since well-structured labeled data are scarce in a majority of practical applications due to the high cost of human annotation of labeling data. Therefore, automatous analysis of unlabeled datasets is important, and relevant algorithms for processing unlabeled data, such as k-means clustering, restricted Boltzmann machine and locally competitive algorithms etc, play a critical role in the development of AI techniques. Memristive devices offer potential for power and time efficient implementation of unlabeled data processing due to their unique properties in neuromorphic and in-memory computing. This review provides an overview of the design principles and applications of memristive devices for various unlabeled data processing and cognitive AI tasks.
Differential enhanced broadband dual‐polarized printed dipole antenna for base stations

A simple differential enhanced broadband dual‐polarized printed dipole antenna for 2G/3G/LTE base station applications is presented. The proposed antenna contains two orthogonal square‐shaped dipoles and a novel square‐shaped feeding structure to achieve a wide bandwidth, and a planar reflector to shape radiation patterns. Due to adopting the differential feeding and ideally symmetrical structure, the antenna can achieve low cross‐polarization level and high port‐to‐port isolation, respectively. Measured results show that the proposed antenna achieves a bandwidth of 67.5% for SWR < 1.5, differential port‐to‐port isolation better than −40 dB, stable half‐power beam width (HPBW) 68.7° ± 4.2° at E‐plane and 68.3° ± 4.9° at H‐plane, and a stable antenna gain of 7.8 ± 1 dBi from 1.65 to 3.33 GHz. The cross‐polarization ratio within the main lobe remains over than −25 dB, and the front‐to‐back ratios keep higher than 31 dB over the operating bandwidth. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2864–2868, 2016
Laser Doppler Flowmetry Combined with Spectroscopy to Determine Peripheral Tissue Perfusion and Oxygen Saturation: A Pilot Study in Healthy Volunteers and Patients with Peripheral Arterial Disease

Background: In this study, we assessed the ability of the EPOS system (Perimed AB, Järfälla, Stockholm, Sweden) to detect differences in tissue perfusion between healthy volunteers and patients with peripheral arterial disease (PAD) with different severity of disease. Methods: This single-center prospective pilot study included 10 healthy volunteers and 20 patients with PAD scheduled for endovascular therapy (EVT). EPOS measurements were performed at rest at 32 °C and 44 °C, followed by transcutaneous oxygen pressure (TcPo2) measurements. The measurements were performed on the dorsal and medial side of the foot, as well as the lateral side of the calf. EPOS parameters included hemoglobin oxygen saturation (HbSo2) and speed-resolved red blood cell (RBC) perfusion. Results: HbSo2 at 44 °C was significantly different between the three groups for all measurement locations. The overall speed-resolved RBC perfusion at 44 °C was statistically significant between the groups on the dorsal and medial side of the foot but not on the calf. TcPo2 values were not significantly different between the three groups. Conclusions: This study demonstrates that the EPOS system can depict differences in tissue perfusion between healthy volunteers, patients with Fontaine class IIb PAD, and those with Fontaine class III or IV PAD but only after heating to 44 °C.
An interesting case of nevus flammeus with loss of vision and hemiparesis

Nevus flammeus is the most common benign congenital capillary malformation, often known as a port-wine stain. Sturge–Weber syndrome (SWS) is a congenital, sporadic, nonfamilial disease characterized by intracranial and ophthalmic vascular anomalies and nevus flammeus. It usually manifests as developmental delay, learning problems, paralysis, seizures, glaucoma and attention deficit, and hyperactivity disorder. A 29-year-old male patient presented with a reddish patch over the face since birth. He was found to have hemihypertrophy of face, hemiparesis of right limbs, and low intelligence quotient. On ophthalmic examination, the patient was found to have glaucoma and only perception of light in the left eye. Computed tomography brain showed atrophy of the left cerebral hemisphere and calcifications in the left frontal, parietal and occipital regions. With these findings, he was diagnosed as SWS type I. A multidisciplinary approach was followed for patient evaluation and management. This case also highlights the irreversible sequelae of this rare phacomatosis.
Full Attitude Control of a Quadrotor Using Fast Nonsingular Terminal Sliding Mode With Angular Velocity Planning

In this article, a fast nonsingular terminal sliding mode combined with angular velocity planning (FNTSM-AVP) controller is developed to achieve high-speed, accurate, and robust attitude tracking performance for a quadrotor. The proposed controller employs a sliding surface function with a continuous arctangent function, which can effectively eliminate chattering behavior on the quadrotor while retaining the speed and accuracy of attitude tracking. Unlike conventional methods, the proposed controller preferentially recovers the roll and pitch angles at desired attitude by planning the shortest arrival path, which is effective to improve the tracking performance. Finally, the finite time convergence and zero tracking error properties of the closed-loop control system under the proposed FNTSM-AVP are analyzed and proved. The aggressive flight experiments demonstrate the advantage of faster convergence and fewer chattering behavior of the proposed method compared to the existing FNTSM controller.
The Interplay of Endothelial P2Y Receptors in Cardiovascular Health: From Vascular Physiology to Pathology

The endothelium plays a key role in blood vessel health. At the interface of the blood, it releases several mediators that regulate local processes that protect against the development of cardiovascular disease. In this interplay, there is increasing evidence for a role of extracellular nucleotides and endothelial purinergic P2Y receptors (P2Y-R) in vascular protection. Recent advances have revealed that endothelial P2Y1-R and P2Y2-R mediate nitric oxide-dependent vasorelaxation as well as endothelial cell proliferation and migration, which are processes involved in the regeneration of damaged endothelium. However, endothelial P2Y2-R, and possibly P2Y1-R, have also been reported to promote vascular inflammation and atheroma development in mouse models, with endothelial P2Y2-R also being described as promoting vascular remodeling and neointimal hyperplasia. Interestingly, at the interface with lipid metabolism, P2Y12-R has been found to trigger HDL transcytosis through endothelial cells, a process known to be protective against lipid deposition in the vascular wall. Better characterization of the role of purinergic P2Y-R and downstream signaling pathways in determination of the endothelial cell phenotype in healthy and pathological environments has clinical potential for the prevention and treatment of cardiovascular diseases.
Multi-Omics Analysis of MCM2 as a Promising Biomarker in Pan-Cancer

Minichromosome maintenance 2 (MCM2) is a member of the minichromosomal maintenance family of proteins that mainly regulates DNA replication and the cell cycle and is involved in regulating cancer cell proliferation in various cancers. Previous studies have reported that MCM2 plays a pivotal role in cell proliferation and cancer development. However, few articles have systematically reported the pathogenic roles of MCM2 across cancers. Therefore, the present pan-cancer study was conducted. Various computational tools were used to investigate the MCM2 expression level, genetic mutation rate, and regulating mechanism, immune infiltration, tumor diagnosis and prognosis, therapeutic response and drug sensitivity of various cancers. The expression and function of MCM2 were examined by Western blotting and CCK-8 assays. MCM2 was significantly upregulated in almost all cancers and cancer subtypes in The Cancer Genome Atlas and was closely associated with tumor mutation burden, tumor stage, and immune therapy response. Upregulation of MCM2 expression may be correlated with a high level of alterations rate. MCM2 expression was associated with the infiltration of various immune cells and molecules and markedly associated with a poor prognosis. Western blotting and CCK-8 assays revealed that MCM2 expression was significantly upregulated in melanoma cell lines. Our results also suggested that MCM2 promotes cell proliferation in vitro by activating cell proliferation pathways such as the Akt signaling pathways. This study explored the oncogenic role of MCM2 across cancers, provided data on the underlying mechanisms of these cancers for further research and demonstrated that MCM2 may be a promising target for cancer immunotherapy.
Integrate Small RNA and Degradome Sequencing to Reveal Drought Memory Response in Wheat (Triticum aestivum L.)

Drought has gradually become one of the most severe abiotic stresses on plants. Plants that experience stress training can exhibit enhanced stress tolerance. According to MicroRNA (miRNA) sequencing data, this study identified 195 candidate drought memory-related miRNAs in wheat, and targets of 64 (32.8%) candidate miRNAs were validated by degradome sequencing. Several drought memory-related miRNAs such as tae-miR9676-5p, tae-MIR9676-p3_1ss21GA, tae-miR171a, tae-miR531_L-2, tae-miR408_L-1, PC-3p-5049_3565, tae-miR396c-5p, tae-miR9778, tae-miR164a-5p, and tae-miR9662a-3p were validated as having a strong response to drought memory by regulating the expression of their target genes. In addition, overexpression of drought memory-related miRNA, tae-miR531_L-2, can remarkably improve the drought tolerance of transgenic Arabidopsis thaliana. Drought memory can regulate plant cellular signal transduction, plant biosynthetic processes, and other biological processes to cope with drought via transcriptional memory. In addition, drought memory-related miRNAs can promote starch and sucrose catabolism and soluble sugar accumulation and regulate proline homeostasis to improve plant drought resistance. Our results could contribute to an understanding of drought memory in wheat seedlings and may provide a new strategy for drought-resistant breeding.
Aerosol-jet-printed graphene electrochemical immunosensors for rapid and label-free detection of SARS-CoV-2 in saliva

Rapid, inexpensive, and easy-to-use coronavirus disease 2019 (COVID-19) home tests are key tools in addition to vaccines in the world wide fight to eliminate national and local shutdowns. However, currently available tests for SARS-CoV-2, the virus that causes COVID-19, are too expensive, painful, and irritating, or not sufficiently sensitive for routine, accurate home testing. Herein, we employ custom-formulated graphene inks and aerosol jet printing to create a rapid electrochemical immunosensor for direct detection of SARS-CoV-2 spike receptor-binding domain (RBD) in saliva samples acquired noninvasively. This sensor demonstrated limits of detection that are considerably lower than most commercial SARS-CoV-2 antigen tests (22.91 ± 4.72 pg ml−1 for spike RBD and 110.38 ± 9.00 pg ml−1 for spike S1) as well as fast response time (∼30 min), which was facilitated by the functionalization of printed graphene electrodes in a single-step with SARS-CoV-2 polyclonal antibody through the carbodiimide reaction without the need for nanoparticle functionalization or secondary antibody or metallic nanoparticle labels. This immunosensor presents a wide linear sensing range from 1 to 1000 ng ml−1 and does not react with other coexisting influenza viruses such as H1N1 hemagglutinin. By combining high-yield graphene ink synthesis, automated printing, high antigen selectivity, and rapid testing capability, this work offers a promising alternative to current SARS-CoV-2 antigen tests.
Users' perception about primary care attributes in a Metropolitan Region of Minas Gerais

ABSTRACT Introduction: Family Health Strategy (FHS) is a tool for Primary Health Care (PHC) consolidation in Brazil, coexisting with the Traditional Health model (THS). Aim: To evaluate PHC attributes, from the user's perspective, according to PHC models in Vespasiano, Brazil. Methods: A population-based cross-sectional study carried out between 2015-2016 with home users registered in the HIPERDIA Program, using the Primary Care Assessment Tool (PCATOOL). Descriptive and comparative analyzes were performed according to PHC models. Results: 1,227 adults participated in the study. Almost all the attributes evaluated showed inadequate orientation to PHC, except the Coordination. The FHS model obtained a better evaluation when compared to the THS model (p-value <0.05). Conclusions: Users' perception of PHC was unsatisfactory in practically all dimensions/attributes, with a slightly more positive evaluation for the FHS model. Greater attention must be paid to the contact and recognition of community’s needs by PHC health professionals. RESUMO Introdução: A Estratégia Saúde da Família (ESF) é um instrumento para consolidação da Atenção Primária à Saúde (APS) no Brasil, coexistindo com o modelo tradicional. Objetivo: Avaliar os atributos da APS, na perspectiva do usuário, segundo modelos de APS em Vespasiano, Brasil. Métodos: Estudo transversal de base populacional realizado entre 2015-2016 com usuários domiciliares e cadastrados no Programa HIPERDIA, utilizando o Primary Care Assessment Tool (PCATOOL). Análises descritivas e comparativas foram realizadas segundo os modelos de APS. Resultados: Participaram do estudo 1.227 adultos, cuja avaliação mostrou inadequada orientação dos serviços para a APS, exceto para o atributo Coordenação. O modelo ESF obteve melhor avaliação quando comparado ao modelo tradicional (p-valor<0,05). Conclusões: A percepção dos usuários foi insatisfatória para praticamente todos os atributos, sendo mais positiva para o modelo da ESF. Maior atenção deve ser dada ao contato e reconhecimento das necessidades da comunidade pelos profissionais de saúde da APS.
Multi-Color Channels Based Group Sparse Model for Image Restoration

The group sparse representation (GSR) model combines local sparsity and nonlocal similarity in image processing, and achieves excellent results. However, the traditional GSR model and all subsequent improved GSR models convert the RGB space of the image to YCbCr space, and only extract the Y (luminance) channel of YCbCr space to change the color image to a gray image for processing. As a result, the image processing process cannot be loyal to each color channel, so the repair effect is not ideal. A new group sparse representation model based on multi-color channels is proposed in this paper. The model processes R, G and B color channels simultaneously when processing color images rather than processing a single color channel and then combining the results of different channels. The proposed multi-color-channels-based GSR model is compared with state-of-the-art methods. The experimental contrast results show that the proposed model is an effective method and can obtain good results in terms of objective quantitative metrics and subjective visual effects.
Framework for Lifecycle Cost Assessment of Steel Buildings under Seismic and Wind Hazards

AbstractDespite the importance of considering multiple extreme events when designing structures, the current treatment of multiple hazard design in code provisions and assessment guidelines is rather vague. This is primarily because design and assessment of structures have traditionally been geared toward meeting the demand of a single hazard. In recent years, there has been a spike in interest by researchers and engineers in evaluating and designing structures for different hazard combinations. In this paper, a probabilistic framework is provided for assessing design alternatives based on estimating the lifecycle cost for two steel buildings with different heights subjected to different seismic and wind intensities. The intensities are specified based on probability of exceedance as per code standards. The total lifecycle cost is estimated using the initial cost and failure cost where the failure cost is a function of the probability of failure, which is calculated based on specified performance objectiv.
An Insidious Poison or a Door to the Story?

The aim of this paper is to grasp the influence of the newsroom on frame-building processes. First, journalists’ own understanding of “frames” and “framing” is discussed. Second, from an academic interpretation of these concepts, journalists’ framing practices are studied. To this end an ethnographic study was conducted at two newsrooms, one in Belgium and one in the Netherlands. The findings reveal that while the noun “frame” is sporadically used as a tool, the verb “framing” is considered as something from which a journalist should refrain. This is explained by the associations journalists make with strategic framing from sources as well as by the newspapers’ explicit attempt to no longer view the world from a single ideological frame. It is argued that the studied newsrooms have replaced ideology by, respectively, a counterframing strategy that strives to disprove existing frames (deframing) and a narrative approach that, one the one hand, sharpens existing frames but, on the other hand, offer more opportunities to create alternative frames (reframing) for events.