Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Liquid Chromatography with Electrochemical Detection for the Determination of Antioxidants in Less Common Fruits

Neurodegenerative disorders (NDD) have become the common global health burden over the last several decades. According to World Health Organization (WHO), a staggering 30 million people will be affected by Alzheimer’s disease in Europe and the USA by 2050. Effective therapies in this complex field considering the multitude of symptoms associated with NDD indications, have not been found yet. Based on the results of NDD related studies, prevention appears to be the promise alternative. Antioxidative and anti-inflammatory properties are hypothesized for natural phenolics, a group of plant secondary products that may positively impact neurodegenerative diseases. In these studies, phenolic-rich extracts from less common fruit species: Blue honeysuckle (Lonicera edulis, Turcz. ex. Freyn), Saskatoon berry (Amelanchier alnifolia Nutt.), and Chinese hawthorn (Crateagus pinnatifida Bunge) were obtained and analyzed to detect neuroprotective substances content and establish a potential therapeutic value. High performance liquid chromatography with electrochemical detection was optimized and further applied on analysis of the extracts of less common fruit species. It was observed that Chinese hawthorn and Blue honeysuckle extracts are potent source of neuroprotective phenolic antioxidants. In accordance the results, it appears that the fruit or formulated products may have the potential for the prevention of neurodegenerative diseases.
Lamb Wave Detection of Delaminations in Large Diameter Pipe Coatings

This paper describes combined experiments and simulations to automate the extraction of ultrasonic guided wave mode arrivals in order to gain quantitative information about large-diameter pipeline coatings. The dynamic wavelet fingerprint technique (DWFT) is used to show differences between unknown coatings as well as to identify the presence of delamination and grinding flaws within the Lamb wave propagation path. Combined with complex multi-layered models to help interpret the guided wave feature changes, this extraction algorithm can be used for the detection of hidden flaws under a variety of protective coatings without having to disturb the coating or pipeline flow. High-resolution supercomputer simulations are developed using the elastodynamic finite integration technique (EFIT) accounting for the 3D interaction of realistic Lamb wave beams with finite-sized coating delaminations.
TGF-ß1 Enhances the BMP-2-Induced Chondrogenesis of Bovine Synovial Explants and Arrests Downstream Differentiation at an Early Stage of Hypertrophy

Background Synovial explants furnish an in-situ population of mesenchymal stem cells for the repair of articular cartilage. Although bone morphogenetic protein 2 (BMP-2) induces the chondrogenesis of bovine synovial explants, the cartilage formed is neither homogeneously distributed nor of an exclusively hyaline type. Furthermore, the downstream differentiation of chondrocytes proceeds to the stage of terminal hypertrophy, which is inextricably coupled with undesired matrix mineralization. With a view to optimizing BMP-2-induced chondrogenesis, the modulating influences of fibroblast growth factor 2 (FGF-2) and transforming growth factor beta 1 (TGF-ß1) were investigated. Methodology/Principal Findings Explants of bovine calf metacarpal synovium were exposed to BMP-2 (200 ng/ml) for 4 (or 6) weeks. FGF-2 (10 ng/ml) or TGF-ß1 (10 ng/ml) was introduced at the onset of incubation and was present either during the first week of culturing alone or throughout its entire course. FGF-2 enhanced the BMP-2-induced increase in metachromatic staining for glycosaminoglycans (GAGs) only when it was present during the first week of culturing alone. TGF-ß1 enhanced not only the BMP-2-induced increase in metachromasia (to a greater degree than FGF-2), but also the biochemically-assayed accumulation of GAGs, when it was present throughout the entire culturing period; in addition, it arrested the downstream differentiation of cells at an early stage of hypertrophy. These findings were corroborated by an analysis of the gene- and protein-expression levels of key cartilaginous markers and by an estimation of individual cell volume. Conclusions/Significance TGF-ß1 enhances the BMP-2-induced chondrogenesis of bovine synovial explants, improves the hyaline-like properties of the neocartilage, and arrests the downstream differentiation of cells at an early stage of hypertrophy. With the prospect of engineering a mature, truly articular type of cartilage in the context of clinical repair, our findings will be of importance in fine-tuning the stimulation protocol for the optimal chondrogenic differentiation of synovial explants.
Masculinities, Care and Equality: Identity and Nurture in Men's Lives

Preface Care in Masculinities Studies Gendered Care Practices Masculinities and Care Masculinities and Emotions Nurturing Femininities Breadwinner Masculinities Nurturing Masculinities Childhood Care Stories Care-Free Masculinities Care-Full Masculinities Toward Affective Equality Notes References Index
Extracting regions of interest from biological images with convolutional sparse block coding

Biological tissue is often composed of cells with similar morphologies replicated throughout large volumes and many biological applications rely on the accurate identification of these cells and their locations from image data. Here we develop a generative model that captures the regularities present in images composed of repeating elements of a few different types. Formally, the model can be described as convolutional sparse block coding. For inference we use a variant of convolutional matching pursuit adapted to block-based representations. We extend the K-SVD learning algorithm to subspaces by retaining several principal vectors from the SVD decomposition instead of just one. Good models with little cross-talk between subspaces can be obtained by learning the blocks incrementally. We perform extensive experiments on simulated images and the inference algorithm consistently recovers a large proportion of the cells with a small number of false positives. We fit the convolutional model to noisy GCaMP6 two-photon images of spiking neurons and to Nissl-stained slices of cortical tissue and show that it recovers cell body locations without supervision. The flexibility of the block-based representation is reflected in the variability of the recovered cell shapes.
Zero-voltage switching technique in DC/DC converters

A novel resonant switch operating under the principle of zero-voltage switching is presented. In contrast to the zero-current switching, this technique eliminates the switching loss and dv/dt noise due to the discharging of MOSFET's junction capacitances and the reverse recovery of diodes, and enables the converters to operate at yet higher frequencies.
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter

Users engaged in the Social Web increasingly rely upon continuous streams of Twitter messages (tweets) for real-time access to information and fresh knowledge about current affairs. However, given the deluge of tweets, it is a challenge for individuals to find relevant and appropriately ranked information. We propose to address this knowledge management problem by going beyond the general perspective of information finding in Twitter, that asks: "What is happening right now? ", towards an individual user perspective, and ask: "What is interesting to me right now? " In this paper, we consider collaborative filtering as an online ranking problem and present RMFO, a method that creates, in real-time, user-specific rankings for a set of tweets based on individual preferences that are inferred from the user's past system interactions. Experiments on the 476 million Twitter tweets dataset show that our online approach largely outperforms recommendations based on Twitter's global trend and Weighted Regularized Matrix Factorization (WRMF), a highly competitive state-of-the-art Collaborative Filtering technique, demonstrating the efficacy of our approach.
Training in Trauma Surgery: Quantitative and Qualitative Aspects of a New Paradigm for Fellowship

Objective: To describe outcomes from a clinical trauma surgical education program that places the board-eligible/board-certified fellow in the role of the attending surgeon (fellow-in-exception [FIE]) during the latter half of a 2-year trauma/surgical critical care fellowship. Summary Background Data: National discussions have begun to explore the question of optimal methods for postresidency training in surgery. Few objective studies are available to evaluate current training models. Methods: We analyzed provider-specific data from both our trauma registry and performance improvement (PI) databases. In addition, we performed TRISS analysis when all data were available. Registry and PI data were analyzed as 2 groups (faculty trauma surgeons and FIEs) to determine experience, safety, and trends in errors. We also surveyed graduate fellows using a questionnaire that evaluated perceptions of training and experience on a 6-point Likert scale. Results: During a 4-year period 7,769 trauma patients were evaluated, of which 46.3% met criteria to be submitted to the PA Trauma Outcome Study (PTOS, ie, more severe injury). The faculty group saw 5,885 patients (2,720 PTOS); the FIE group saw 1,884 patients (879 PTOS). The groups were similar in respect to mechanism of injury (74% blunt; 26% penetrating both groups) and injury severity (mean ISS faculty 10.0; FIEs 9.5). When indexed to patient contacts, FIEs did more operations than the faculty group (28.4% versus 25.6%; P < 0.05). Death rates were similar between groups (faculty 10.5%; FIEs 10.0%). Analysis of deaths using PI and TRISS data failed to demonstrate differences between the groups. Analysis of provider-specific errors demonstrated a slightly higher rate for FIEs when compared with faculty when indexed to PTOS cases (4.1% versus 2.1%; P < 0.01). For both groups, errors in management were more common than errors in technique. Twenty-one (91%) of twenty-three surveys were returned. Fellows’ feelings of preparedness to manage complex trauma patients improved during the fellowship (mean 3.2 prior to fellowship versus 4.5 after first year versus 5.8 after FIE year; P < 0.05 by ANOVA). Eighty percent rated the FIE educational experience “great -5” or “exceptional– 6. ” Eighty-five percent consider the current structure of the fellowship (with FIE year) as ideal. Ninety percent would repeat the fellowship. Conclusion: The educational experience and training improvement offered by the inclusion of a FIE period during a trauma fellowship is exceptional. Patient outcomes are unchanged. The potential for an increased error rate is present during this period of clinical autonomy and must be addressed when designing the methods of supervision of care to assure concurrent senior staff review.
EMI Study of Three-Phase Inverter-Fed Motor Drives

Today, electromagnetic compatibility (EMC) seems to be one of the major constraints of power electronic converters, particularly for variable-speed drives. Unfortunately, it is too often regarded as the last phase of the development of a converter since it represents the last step of its marketing. The estimation of conducted and radiated disturbances by simulation offers a considerable gain from the economic point of view. This paper shows how relatively simple models can be used to forecast EMC, taking into account various control strategies. These models are validated on an experimental setup and can be used during the design of a variable-speed inverter motor association. The objective is to approach by “fast” simulations the conducted emission to consider optimization processes. It is then imperative to take into account the environment of the converter, which implies the modeling of cables, motors, and, naturally, the filters.
CX3CR1 in Microglia Regulates Brain Amyloid Deposition through Selective Protofibrillar Amyloid-β Phagocytosis

In Alzheimer's disease (AD), amyloid-β (Aβ) deposits are frequently surrounded by activated microglia but the precise role of these cells in disease progression remains unclear. The chemokine receptor CX3CR1 is selectively expressed in microglia and is thought to modulate their activity. To study the specific effects of microglia activation on amyloid pathology in vivo, we crossbred mice lacking CX3CR1 with the Alzheimer's mouse model CRND8. Surprisingly, we found that CX3CR1-deficient mice had lower brain levels of Aβ40 and Aβ42 and reduced amyloid deposits. Quantification of Aβ within microglia and time-lapse two-photon microscopy in live mice revealed that these cells were highly effective at the uptake of protofibrillar amyloid but were incapable of phagocytosis of fibrillar congophilic Aβ. CX3CR1 deletion was associated with increased phagocytic ability, which led to greater amyloid content within microglial phagolysosomes. Furthermore, CX3CR1-deficient mice had an increased number of microglia around individual plaques because of higher proliferative rates, which likely contributed to an overall greater phagocytic capacity. CX3CR1 deletion did not affect the degree of neuronal or synaptic damage around plaques despite increased microglia density. Our results demonstrate that microglia can regulate brain Aβ levels and plaque deposition via selective protofibrillar Aβ phagocytosis. Modulation of microglia activity and proliferation by CX3CR1 signaling may represent a therapeutic strategy for AD.
A Platform for Rapid, Quantitative Assessment of Multiple Drug Combinations Simultaneously in Solid Tumors In Vivo

While advances in high-throughput screening have resulted in increased ability to identify synergistic anti-cancer drug combinations, validation of drug synergy in the in vivo setting and prioritization of combinations for clinical development remain low-throughput and resource intensive. Furthermore, there is currently no viable method for prospectively assessing drug synergy directly in human patients in order to potentially tailor therapies. To address these issues we have employed the previously described CIVO platform and developed a quantitative approach for investigating multiple combination hypotheses simultaneously in single living tumors. This platform provides a rapid, quantitative and cost effective approach to compare and prioritize drug combinations based on evidence of synergistic tumor cell killing in the live tumor context. Using a gemcitabine resistant model of pancreatic cancer, we efficiently investigated nine rationally selected Abraxane-based combinations employing only 19 xenografted mice. Among the drugs tested, the BCL2/BCLxL inhibitor ABT-263 was identified as the one agent that synergized with Abraxane® to enhance acute induction of localized apoptosis in this model of human pancreatic cancer. Importantly, results obtained with CIVO accurately predicted the outcome of systemic dosing studies in the same model where superior tumor regression induced by the Abraxane/ABT-263 combination was observed compared to that induced by either single agent. This supports expanded use of CIVO as an in vivo platform for expedited in vivo drug combination validation and sets the stage for performing toxicity-sparing drug combination studies directly in cancer patients with solid malignancies.
Elastic cloaking theory

Transformation theory is developed for the equations of linear anisotropic elasticity. The transformed equations correspond to non-unique material properties that can be varied for a given transformation by selection of the matrix relating displacements in the two descriptions. This gauge matrix can be chosen to make the transformed density isotropic for any transformation although the stress in the transformed material is not generally symmetric. Symmetric stress is obtained only if the gauge matrix is identical to the transformation matrix, in agreement with Milton et al. [1]. The elastic transformation theory is applied to the case of cylindrical anisotropy. The equations of motion for the transformed material with isotropic density are expressed in Stroh format, suitable for modeling cylindrical elastic cloaking. It is shown that there is a preferred approximate material with symmetric stress that could be a useful candidate for making cylindrical elastic cloaking devices.
Heterogeneity of responses to LH-releasing hormone and phorbol ester among rat gonadotrophs: a study using a reverse haemolytic plaque assay for LH.

Protein kinase C (PK-C) has been implicated in the action of LHRH because LHRH-induced release of LH is partially mimicked by phorbol esters which activate PK-C, and reduced in magnitude by inhibitors of PK-C. We have used a reverse haemolytic plaque assay for LH to visualize and compare the direct effects on individual rat gonadotrophs of (1) a 2-h exposure to a range of concentrations of LHRH and phorbol 12-myristate 13-acetate (PMA) and (2) a single maximally stimulatory dose (10 nM) of LHRH or PMA, or LHRH in the presence of inhibitors of PK-C (retinal and isoquinolone sulphonamide; H7) over six consecutive 30-min intervals. Quantitative analysis of the size and number of haemolytic plaques indicated that LHRH induced a dose- and time-dependent increase in the amount of LH release by individual gonadotrophs, with no evidence of the priming effect of LHRH. Stimulation by 10nM LHRH induced recruitment of actively secreting gonadotrophs which reached maximum levels by 90 min. There was a delay of 90-120 min before 10 nM PMA caused a significant release of LH, as assessed by both the size and number of plaques. During the first 30 min of exposure, the presence of 10 microM retinal or H7 augmented LHRH-induced secretion of LH, with the absence of any inhibition of the effects of LHRH until 90-120 min, when both the size and number of plaques were reduced compared with those formed in the presence of LHRH alone. (ABSTRACT TRUNCATED AT 250 WORDS)
IL-26 is overexpressed in chronically HCV-infected patients and enhances TRAIL-mediated cytotoxicity and interferon production by human NK cells

Objective Interleukin-26 (IL-26) is a member of the IL-10 cytokine family, first discovered based on its peculiar expression by virus-transformed T cells. IL-26 is overexpressed in chronic inflammation (rheumatoid arthritis and Crohn’s disease) and induces proinflammatory cytokines by myeloid cells and some epithelial cells. We thus investigated the expression and potential role of IL-26 in chronic HCV infection, a pathology associated with chronic inflammation. Design IL-26 was quantified in a cohort of chronically HCV-infected patients, naive of treatment and its expression in the liver biopsies investigated by immunohistochemistry. We also analysed the ability of IL-26 to modulate the activity of natural killer (NK) cells, which control HCV infection. Results The serum levels of IL-26 are enhanced in chronically HCV-infected patients, mainly in those with severe liver inflammation. Immunohistochemistry reveals an intense IL-26 staining in liver lesions, mainly in infiltrating CD3+ cells. We also show that NK cells from healthy subjects and from HCV-infected patients are sensitive to IL-26. IL-26 upregulates membrane tumour necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) expression on CD16− CD56bright NK cells, enabling them to kill HCV-infected hepatoma cells, with the same efficacy as interferon (IFN)-α-treated NK cells. IL-26 also induces the expression of the antiviral cytokines IFN-β and IFN-γ, and of the proinflammatory cytokines IL-1β and TNF-α by NK cells. Conclusions This study highlights IL-26 as a new player in the inflammatory and antiviral immune responses associated with chronic HCV infection.
Biological and morphological characterization of human neonatal fibroblast cell culture B-HNF-1

In the present study, human neonatal fibroblasts were isolated from a two-month-old human male. The purpose of the present investigation was the analysis of the morphology (light and transmission electron microscopy), karyotype and growth characteristics of the human neonatal fibroblast cell culture B-HNF-1. Moreover, STR typing and mitochondrial DNA amplification and sequencing was also performed. Analysis of chromosomes count showed that B-HNF-1 cell culture is diploid and has normal male karyotype 46, XY, which was stable during cultivation. The transmission electron microscopy demonstrated the ultra-structure of the B-HNF-1 cells; they have typical morphological features of proteosynthesis-active cells. Large number of fibroblasts bearing different shapes and surface characteristics adhered to the substrate with microvilli and filopodia. Our in vitro expanded fibroblasts have a large and irregular nucleus with prevalence of euchromatin. One to three nucleoli are present in each nucleus. The cytoplasm contains a richly developed rough endoplasmic reticulum and prominent Golgi apparatus cisterns. The result of the fragment analysis is a DNA profile defined as multiplex of STR markers and sex determining system. Sequencing analysis of hypervariable segments of control region of mitochondrial DNA showed haplotype that belongs to haplogroup W. In this study, we complexly characterized a new cell culture of human neonatal fibroblasts B-HNF-1 from different points of view. This culture should be used for further biomedical experiments.
Antiphospholipid Syndrome: Clinical and Diagnostic Utility of Laboratory Tests

Antiphospholipid antibodies are a wide and heterogeneous group of immunoglobulins that include, among others, lupus anticoagulants and anticardiolipin antibodies. Their presence in patients with arterial and venous thrombosis, and/or obstetrical complications, defines the antiphospholipid syndrome. Antiphospholipid antibodies do not recognize anionic phospholipids, but recognize plasma proteins bound to suitable anionic surfaces: beta2-glycoprotein I and prothrombin are the most common and most frequently investigated antigens. We systematically reviewed published articles on the antiphospholipid syndrome to investigate the association between thrombosis and some antiphospholipid antibodies. Lupus anticoagulants were a clear risk factor for thrombosis, irrespective of the site and type of thrombosis, the presence of systemic lupus erythematosus, and the methods used to detect them. Anticardiolipin and anti-beta2-glycoprotein I antibodies were possible risk factors of thrombosis, at least in some selected situations. The measurement of antiprothrombin antibodies is not helpful to define the patient's risk of thrombosis. These results are mainly due to the still far from optimal standardization of the methods to detect antiphospholipid antibodies; the lack of standardized reference materials; the heterogeneity in reagents, calibrators, and assay conditions; and the methods used to calculate the results. Many efforts are currently being made to improve assay standardization and harmonization, which should help to clarify the clinical relevance of antiphospholipid antibodies.