Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a High-Throughput ex-Vivo Burn Wound Model Using Porcine Skin, and Its Application to Evaluate New Approaches to Control Wound Infection

Biofilm formation in wounds is considered a major barrier to successful treatment, and has been associated with the transition of wounds to a chronic non-healing state. Here, we present a novel laboratory model of wound biofilm formation using ex-vivo porcine skin and a custom burn wound array device. The model supports high-throughput studies of biofilm formation and is compatible with a range of established methods for monitoring bacterial growth, biofilm formation, and gene expression. We demonstrate the use of this model by evaluating the potential for bacteriophage to control biofilm formation by Staphylococcus aureus, and for population density dependant expression of S. aureus virulence factors (regulated by the Accessory Gene Regulator, agr) to signal clinically relevant wound infection. Enumeration of colony forming units and metabolic activity using the XTT assay, confirmed growth of bacteria in wounds and showed a significant reduction in viable cells after phage treatment. Confocal laser scanning microscopy confirmed the growth of biofilms in wounds, and showed phage treatment could significantly reduce the formation of these communities. Evaluation of agr activity by qRT-PCR showed an increase in activity during growth in wound models for most strains. Activation of a prototype infection-responsive dressing designed to provide a visual signal of wound infection, was related to increased agr activity. In all assays, excellent reproducibility was observed between replicates using this model.
Identification of Implementation Strategies Used for the Circle of Security-Virginia Family Model Intervention: Concept Mapping Study

Background A reoccurring finding from health and clinical services is the failure to implement theory and research into practice and policy in appropriate and efficient ways, which is why it is essential to develop and identify implementation strategies, as they constitute the how-to component of translating and changing health practices. Objective The aim of this study was to provide a systematic and comprehensive review of the implementation strategies that have been applied for the Circle of Security-Virginia Family (COS-VF) model by developing an implementation protocol. Methods First, informal interviews and documents were analyzed using concept mapping to identify implementation strategies. All documentation from the Network for Infant Mental Health’s work with COS-VF was made available and included for analysis, and the participants were interviewed to validate the findings and add information not present in the archives. To avoid lack of clarity, an existing taxonomy of implementation strategies, the Expert Recommendations for Implementing Change, was used to conceptualize (ie, name and define) strategies. Second, the identified strategies were specified according to Proctor and colleagues’ recommendations for reporting in terms of seven dimensions: actor, the action, action targets, temporality, dose, implementation outcomes, and theoretical justification. This ensures a full description of the implementation strategies and how these should be used in practice. Results Ten implementation strategies were identified: (1) develop educational materials, (2) conduct ongoing training, (3) audit and feedback, (4) make training dynamic, (5) distribute educational materials, (6) mandate change, (7) obtain formal commitments, (8) centralize technical assistance, (9) create or change credentialing and licensure standards, and (10) organize clinician implementation team meetings. Conclusions This protocol provides a systematic and comprehensive overview of the implementation of the COS-VF in health services. It constitutes a blueprint for the implementation of COS-VF that supports the interpretation of subsequent evaluation studies, facilitates knowledge transfer and reproducibility of research results in practice, and eases the replication and comparison of implementation strategies in COS-VF and other interventions.
Improvement of lipase obtaining system by orange waste-based solid-state fermentation: production, characterization and application

Abstract Lipases are an economic important group of biocatalysts that can be produced by some fungal under solid-state fermentation. Orange wastes are source of lipases and potential substrates for lipases production. This work assessed 19 fugal strains cultivated in Citrus sinensis cv. Hamlin orange wastes (peel, frit and core) for production of lipases in order to generate compounds with antioxidant, antimicrobial and cytotoxic properties. Fifteen of those fungi grew and produced lipases, mainly the Aspergillus brasiliensis [National Institute of Quality Control (INCQS) 40036]/frit system, which showed 99.58 U/g total lipase. The substrate with the highest production of lipase was frit with 26.67 and 78.91 U/g of total lipases produced on average by the 15 microorganisms. Aspergillus niger 01/frit (33.53 U/g) and Aspergillus niger (INCQS 40015)/frit (34.76 U/g) systems showed the highest specificity values in all the herein tested synthetic substrates with 4, 12 and 16 carbons. Analysis of the fatty acid profile of hydrolysis products obtained in the most prominent systems applied to corn and sunflower oils showed: palmitic acid, linoleic acid, oleic acid, and stearic acid. These acids showed antioxidant capacity of up to 58% DPPH (2,2-diphenyl-1-pierylhydrazyl) radical reduction and antibacterial activity against Escherichia coli, Listeria monocytogenes, Pseudomonas aureginosa, Salmonella Enteritidis and Staphylococcus aureus, as well as cytotoxicity to SCC9 cells (squamous cancer cells).
Types of Trauma, Posttraumatic Stress Disorder, and Academic Performance in a Population of University Students

Abstract The aim of this work was to investigate the association between traumatic experiences and posttraumatic stress disorder (PTSD) with the academic performance of university students. This is a one-phase study that included 2213 students, enrolled at one of seven college institutions in their first or final semesters in all programs, who filled out the self-response questionnaires. From this student population, 14% presented with PTSD, with 13.3% in their first semester and 14.9% in their final semester. The students who presented lower academic results (low scoring) had a higher prevalence of PTSD in both the first and final semesters. Nonsexual violence was related with low scoring in the first-semester students. Thus, we conclude that students in the PTSD group present worse academic performance. These results indicate a need to pay attention to students who have been through traumatic experiences and gone on to develop PTSD, to ensure their undergraduate success and enable their future performance as professionals.
[Status of consumption of potato and its related products in Chinese residents from 2010 to 2012].

OBJECTIVE To analyze the status of consumption of potato and its related products in Chinese residents from 2010 to 2012. METHODS Data was from China Nutrition and Health Surveillance 2010-2012. Information on the consumption of potato and its related products was collected using the 24 h recall method for three consecutive days. RESULTS The average consumption of potatoes for Chinese residents was 29. 2 g / d, 20. 1 g for urban residents, 37. 7 g for rural residents. The consumption rate of potato was40. 1%, which were 35. 7% and 44. 2% in urban and rural areas. The average consumption of potato eaters was 72. 8 g, 56. 2 g and 85. 3 g for urban and rural areas respectively. The average consumptions of potato powder and chips were 0. 2 g and 0. 04 g, and the edible rate were 0. 4% and 0. 2% respectively. CONCLUSION At present, the edible rate and the consumption of potato were lower in Chinese residents. To promote potato staple strategy should actively promote potato food products and industrial development, guide the dietary structure of Chinese residents, and improve the residents' understanding of the nutritional value of potato.
Variation in opsin transcript expression explains intraretinal differences in spectral sensitivity of the northern anchovy

Abstract Vertebrate retinal photoreceptors house visual pigments that absorb light to begin the process of vision. The light absorbed by a visual pigment depends on its two molecular components: protein (opsin) and chromophore (a vitamin A derivative). Although an increasing number of studies show intraretinal variability in visual pigment content, it is only for two mammals (human and mouse) and two birds (chicken and pigeon) that such variability has been demonstrated to underlie differences in spectral sensitivity of the animal. Here, we show that the spectral sensitivity of the northern anchovy varies with retinal quadrant and that this variability can be explained by differences in the expression of opsin transcripts. Retinal (vitamin A1) was the only chromophore detected in the retina, ruling out this molecular component as a source of variation in spectral sensitivity. Chromatic adaptation experiments further showed that the dorsal retina had the capacity to mediate color vision. Together with published results for the ventral retina, this study is the first to demonstrate that intraretinal opsin variability in a fish drives corresponding variation in the animal’s spectral sensitivity.
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art

Human activity recognition based on wearable sensor data has been an attractive research topic due to its application in areas such as healthcare and smart environments. In this context, many works have presented remarkable results using accelerometer, gyroscope and magnetometer data to represent the activities categories. However, current studies do not consider important issues that lead to skewed results, making it hard to assess the quality of sensor-based human activity recognition and preventing a direct comparison of previous works. These issues include the samples generation processes and the validation protocols used. We emphasize that in other research areas, such as image classification and object detection, these issues are already well-defined, which brings more efforts towards the application. Inspired by this, we conduct an extensive set of experiments that analyze different sample generation processes and validation protocols to indicate the vulnerable points in human activity recognition based on wearable sensor data. For this purpose, we implement and evaluate several top-performance methods, ranging from handcrafted-based approaches to convolutional neural networks. According to our study, most of the experimental evaluations that are currently employed are not adequate to perform the activity recognition in the context of wearable sensor data, in which the recognition accuracy drops considerably when compared to an appropriate evaluation approach. To the best of our knowledge, this is the first study that tackles essential issues that compromise the understanding of the performance in human activity recognition based on wearable sensor data.
Nurse practitioners in aged care settings: a study of general practitioners’ and registered nurses’ views

Background: This paper draws on a 2015 study in New Zealand that examined perceptions of registered nurses (RNs) and general practitioners (GPs) regarding the role of Nurse Practitioners (NPs) in long-term aged care facilities (LTACF). Aim: To explore the attitudes of RNs and GPs regarding the role of NPs in LTACFs. Design: A descriptive, mixed methods design with a survey and invitation to interview was used. RNs and GPs who provided hospital-level care were invited to participate. Findings: The findings showed RNs and GPs are open to considering the NP role in aged care. However, there remains a lack of understanding of what NPs do. Conclusions: This study suggests a shift in attitude towards accepting the NP role by RNs and GP working in LTACFs.
Targeting MCT4 to reduce lactic acid secretion and glycolysis for treatment of neuroendocrine prostate cancer

Development of neuroendocrine prostate cancer (NEPC) is emerging as a major problem in clinical management of advanced prostate cancer (PCa). As increasingly potent androgen receptor (AR)‐targeting antiandrogens are more widely used, PCa transdifferentiation into AR‐independent NEPC as a mechanism of treatment resistance becomes more common and precarious, since NEPC is a lethal PCa subtype urgently requiring effective therapy. Reprogrammed glucose metabolism of cancers, that is elevated aerobic glycolysis involving increased lactic acid production/secretion, plays a key role in multiple cancer‐promoting processes and has been implicated in therapeutics development. Here, we examined NEPC glucose metabolism using our unique panel of patient‐derived xenograft PCa models and patient tumors. By calculating metabolic pathway scores using gene expression data, we found that elevated glycolysis coupled to increased lactic acid production/secretion is an important metabolic feature of NEPC. Specific inhibition of expression of MCT4 (a plasma membrane lactic acid transporter) by antisense oligonucleotides led to reduced lactic acid secretion as well as reduced glucose metabolism and NEPC cell proliferation. Taken together, our results indicate that elevated glycolysis coupled to excessive MCT4‐mediated lactic acid secretion is clinically relevant and functionally important to NEPC. Inhibition of MCT4 expression appears to be a promising therapeutic strategy for NEPC.
Electronically delay-tuned upconversion cross-correlator for characterization of mid-infrared pulses.

In this Letter, a novel method for the characterization of mid-infrared pulses is presented. A cross-correlator system, with no moving parts, combining ultra-broadband pulsed upconversion detection with fast active electronic delay tuning was built to perform time-resolved spectral characterization of 1.6 ns mid-infrared supercontinuum pulses. Full wavelength/time spectrograms were acquired in steps of 20 ps over a range that can, in theory, extend to microseconds in a matter of seconds, with 48 ps temporal resolution and 22 cm-1 spectral resolution in the 2700-4300 nm range. This work proves the potential for the use of electronic delay tuning instead of mechanical delay tuning for applications such as cross-correlators and laser spectroscopy, where their fast precise tunability and long delay ranges are a strong asset.
From Self-ception to Image Self-ception: A method to represent an image with its own approximations

A concept of defining images based on its own approximate ones is proposed here, which is called 'Self-ception'. In this regard, an algorithm is proposed to implement the self-ception for images, which we call it 'Image Self-ception' since we use it for images. We can control the accuracy of this self-ception representation by deciding how many segments or regions we want to use for the representation. Some self-ception images are included in the paper. The video versions of the proposed image self-ception algorithm in action are shown in a YouTube channel (find it by Googling image self-ception).
Gene Expression Profiling for Melanoma Effective : June 1 , 2018

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The Microbiome – The Unscheduled Parameter for Future Therapies

Zusammenfassung Unter Mikrobiom versteht man die Gesamtheit der bakteriellen, parasitären, viralen oder anderen zellulären Mikroorganismen, die den menschlichen Körper oder ein anderes Lebewesen besiedeln. Das Mikrobiom zeigt in den anatomischen Bereichen der Hals-Nasen-Ohrenheilkunde eine deutliche regionale Varianz. Für die Bereiche von Ohr, Nase, Rachen, Larynx und Haut sind jeweils verschiedene Interaktionen des Mikrobiomes mit allgemeinen Faktoren wie Alter, Diät und Lebensstilfaktoren (z. B. Rauchen) in den letzten Jahren bekannt geworden. Zudem liegen eine Reihe von Erkenntnissen vor, dass das Mikrobiom an der Pathogenese verschiedener Erkrankungen auch im HNO-Bereich beteiligt ist. Der vorgestellte Übersichtsartikel fasst die wesentlichen Erkenntnisse dieses sich aktuell äußerst rasch entwickelnden Forschungsgebietes überblickartig zusammen. Abstract The microbiome is defined as the total of cellular microorganisms of baczerial, viral or e. g. , parasite origin living on the surface of a body. Within the anatomical areas of otorhinolaryngology, a significant divergence and variance can be demonstrated. For ear, nose, throat, larynx and cutis different interactions of microbiome and common factors like age, diet and live style factors (e. g., smoking) have been detected in recent years. Besides, new insights hint at a passible pathognomic role of the microbiome towards diseases in the ENT area. This review article resumes the present findings of this rapidly devloping scientific area.
Synbiotic Effects of the Dietary Fiber Long‐Chain Inulin and Probiotic Lactobacillus acidophilus W37 Can be Caused by Direct, Synergistic Stimulation of Immune Toll‐Like Receptors and Dendritic Cells

Scope Synbiotic effects of dietary fibers and lactobacilli are usually explained by synergistic modulation of gut microbiota. New insight, however, has demonstrated that both dietary fibers and lactobacilli can directly stimulate immune cells and benefit consumer immunity. Here, the synergistic effects of immune active long‐chain inulin (lcITF) and Lactobacillus acidophilus W37 (LaW37) on dendritic cells (DCs) are investigated. Methods and results Effects of lcITF and LaW37 alone or combined were studied on Toll‐like receptor (TLRs) signaling and cytokine secretion by DCs in the presence and absence of media of intestinal epithelial cell (IEC) exposed to the ingredients. Also, the effects of DC responses against Salmonella Typhimurium (STM) were investigated. Synergistic effects were observed on TLR2 and 3. Synergistic effects were not always pro‐inflammatory. LaW37 was strongly pro‐inflammatory, while cytokine responses were regulatory when combined with lcITF. Exposure of DCs to IECs medium changed the DCs’ response, which revealed synergistic enhancing effects of lcITF/LaW37 on production of IL‐6 and IL‐8. DCs’ response in the presence of STM and LaW37 were so strong that lcITF had no additional effect. Conclusion It is demonstrated that synbiotic effects of dietary fibers and bacteria are not limited to the effects on gut microbiota but can also occur by synergistically directly stimulating IECs and/or immune cells.
Directed Differentiation of Human Corneal Endothelial Cells From Human Embryonic Stem Cells by Using Cell-Conditioned Culture Media.

Purpose A shortage of human corneal endothelial cells (HCEC) for transplant and current methods of differentiation induction require chemical compounds, which might cast further influences after differentiation induction. Therefore, we developed a simple and straightforward approach to endothelial cell differentiation from human embryonic stem cells (hESC). Methods HESC are used to differentiate into HCEC by employing a two-stage method, which involves the application of two different types of conditioned culture medium, human corneal stromal cell-conditioned medium (HCSC-CM) and lens epithelial cell (LEC) plus HCSC-CM (LEC-CM+HCEC-CM). In brief, hESCs were treated with different conditioned media to induce directed endothelial differentiation. Results In the presence of conditioned culture medium, embryonic stem cells differentiate first under the control of periocular mesenchymal precursors (POMPs). Consequently, the expression of several POMP markers was observed. Following this first stage differentiation, POMPs were further directed to differentiate into corneal endothelial cell (CEC)-like cells in the presence of the second-conditioned culture medium. The differentiation of POMPs into CEC-like cells is regulated by a TGFβ-2/FOXC1 signaling pathway that is activated by the factors present in the conditioned culture medium. Conclusions HCEC-like cells could be differentiated from hESC by simply using a two-step, preconditioned, medium-mediated approach, which could significantly minimize the workload to generate HCEC for potential clinical use. This research may provide an ideal cell source for corneal regenerative medicine and clinical treatment for corneal diseases in the future.
Application of GIS in Geological Information System

GIS is a technique of newly arisen spatial information that comes into being in recent years,and is a thing of various subjects that overlop.It can efficiently manage,analyze information having spatial structure and export result.Along with continuously develop of GIS,it is already extensive application on energy and transportation,city planning,resources evaluation,land exploitation etc.and exert the great function in the national economy.The information system including GIS has made great progress in the last decade.This research applies GIS to geology's fields,main to express the development and recent trend of the geological information system technology based on GIS in geological exploration works.
Examining First-Generation College Student Lived Experiences With Microaggressions and Microaffirmations at a Predominately White Public Research University

Objectives: Studies have described the experiences of racial microaggressions in everyday life and on college campuses, yet prior research has not explored how microaggressions and microaffirmations are experienced by students who are first in their family to attend college. Method: This qualitative investigation of 296 open-ended survey responses described the lived experiences of first-generation college students at a large, public, predominately White institution. Results: Students experienced microaggressions in the form microinsults, microassaults, and microinvalidations, and microaffirmations in the form of microsupports, microcompliments, and microvalidations on campus. Conclusions: Study implications include the development and implementation of regular positive and intentional communications by faculty, staff, and peers on college campuses.
Shape correspondences from learnt template-based parametrization

We present a new deep learning approach for matching deformable shapes by using a model which jointly encodes 3D shapes and correspondences. This is achieved by factoring the surface representation into (i) a template, that parameterizes the surface, and (ii) a learnt feature vector that parameterizes the function which transforms the template into the input surface. We show that our network can directly predict the feature vector and thus correspondences for a new input shape, but also that correspondence quality can be significantly improved by an additional regression step. This additional step improves the shape feature vector by minimizing the Chamfer distance between the input and parameterized shape. We show that this produces both a better shape representation and better correspondences. We demonstrate that our simple approach improves state of the art results on the difficult FAUST inter challenge, with an average correspondence error of 2.88cm. We also show results on the real scans from the SCAPE dataset and the synthetically perturbed shapes from the TOSCA dataset, including non-human shapes.