Miracle-dz/UniFAR-FTUs huggingface dataset:
Insulin Resistance Is Associated with Interleukin 1β (IL-1β) in Non-Diabetic Hemodialysis Patients

Background Insulin resistance (IR) and inflammation are associated with increased risk of complications in chronic kidney disease (CKD) patients. However, the relationship between IR and the important proinflammatory interleukin-1β (IL-1β) is unclear in CKD patients. Material/Methods We conducted a cross-sectional study including 79 non-diabetic patients who received hemodialysis after the exclusion process. Homeostasis model assessment (HOMA-IR) and leptin adiponectin ratio (LAR) were used to evaluate IR. Inflammation was assessed through C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and IL-1β evaluation. We tested associations of IR with IL-1β using logistic analysis and linear regression. Results Patients were divided into a HOMA-IR-positive group and a HOMA-IR-negative group. Although there were no differences between the 2 groups in terms of etiological causes, age, sex, BMI, triglyceride, cholesterol, ferritin, uric acid, and inflammatory indicators such as CRP, we found that IL-6, TNF-α, and IL-1β were significantly increased in the HOMA-IR-positive group compared with the HOMA-IR-negative group. Moreover, IL-1β contributed to HOMA-IR positivity and was positively correlated with LAR after adjusting for possible confounding factors. Conclusions Insulin resistance correlates positively with IL-1β among non-diabetic hemodialysis patients, which suggests that IL-1β may be involved in the pathogenesis of IR in this setting.
Liver X Receptor Agonist Therapy Prevents Diffuse Alveolar Hemorrhage in Murine Lupus by Repolarizing Macrophages

The generation of CD138+ phagocytic macrophages with an alternative (M2) phenotype that clear apoptotic cells from tissues is defective in lupus. Liver X receptor-alpha (LXRα) is an oxysterol-regulated transcription factor that promotes reverse cholesterol transport and alternative (M2) macrophage activation. Conversely, hypoxia-inducible factor 1-α (HIF1α) promotes classical (M1) macrophage activation. The objective of this study was to see if lupus can be treated by enhancing the generation of M2-like macrophages using LXR agonists. Peritoneal macrophages from pristane-treated mice had an M1 phenotype, high HIFα-regulated phosphofructokinase and TNFα expression (quantitative PCR, flow cytometry), and low expression of the LXRα-regulated gene ATP binding cassette subfamily A member 1 (Abca1) and Il10 vs. mice treated with mineral oil, a control inflammatory oil that does not cause lupus. Glycolytic metabolism (extracellular flux assays) and Hif1a expression were higher in pristane-treated mice (M1-like) whereas oxidative metabolism and LXRα expression were higher in mineral oil-treated mice (M2-like). Similarly, lupus patients’ monocytes exhibited low LXRα/ABCA1 and high HIF1α vs. controls. The LXR agonist T0901317 inhibited type I interferon and increased ABCA1 in lupus patients’ monocytes and in murine peritoneal macrophages. In vivo, T0901317 induced M2-like macrophage polarization and protected mice from diffuse alveolar hemorrhage (DAH), an often fatal complication of lupus. We conclude that end-organ damage (DAH) in murine lupus can be prevented using an LXR agonist to correct a macrophage differentiation abnormality characteristic of lupus. LXR agonists also decrease inflammatory cytokine production by human lupus monocytes, suggesting that these agents may be have a role in the pharmacotherapy of lupus.
Registration of multitemporal GF-1 remote sensing images with weighting perspective transformation model

Registration is a classical problem in the application of remote sensing images. The existing methods prefer to fit the relationship between target and source images with the same model on the whole. In fact, the geometrical relationship between two images is not always consistent, especially for the wide-field-viewed images of GaoFen-1 (GF-1) launched by the China Aerospace Science and Technology Corporation (CASC) in April 2013. Generally, The existing methods didn't take the local deformation into consideration. Towards this end, we solve the problem with three stages in this paper. Firstly, the coarse registration obtains the integral perspective transformation model of images. Secondly, the fine registration partitions image into many blocks and improves the relationship of every block with the inverse distance weighting (IDW) function. Finally, the coordinate transformation and resampling are the final step. Compared to other methods, the experiments demonstrate that the proposed algorithm is capable of generating satisfied results which are robust against deformation at local area.
The preparation of sintered NdFeB magnet with high-coercivity and high temperature-stability

The NdFeB magnets with high intrinsic coercivity have been produced by using the conventional powder metallurgy method (including SC, HD and JM) of sintered NdFeB magnets. The effects of grain boundary phases on the microstructure and magnetic properties of as-sintered and annealed magnets have been tried to investigate. Also the Curie temperature of the magnets was studied. By adopting suitable component ratio of some heavy rare-earth atoms and some micro-quantity additives, we have prepared high-coercivity sintered NdFeB magnets with magnetic properties of jHc=36.3kOe, Br=11.7kGs and (BH)max=34.0MGOe. The temperature coefficient of residual magnetic flux of the magnets (between 20 and 200°C) is -0.113%/°C, while the temperature coefficient of intrinsic coercivity -0.355%/°C. The Curie temperature of the magnets is about 342°C.
A 16-mW 1-GS/s With 49.6-dB SNDR TI-SAR ADC for Software-Defined Radio in 65-nm CMOS

This paper presents a 10-bit 1-GS/s four-channel time-interleaved (TI) successive approximation register (SAR) analog-to-digital converter (ADC). To suppress the time skew, the full rate master clock-based sampling technique is adopted. The effect of sampling switch mismatches on time skew is addressed. The measured time skew spurs caused by the sampling switch mismatches are around −52 to −55 dB at Nyquist input. Then, a tap-interpolating fractional delay filters-based digital background time skew calibration technique is proposed. Also, a full analysis of the effects of the various parameters on the time skew generated spur levels is presented, which indicates that the time skew error level is related to the length of calibration filters, calibration range, and bandwidth penalty. The subchannel ADC exploits a 250-MS/s SAR ADC with a low-cost high-speed subradix-2 searching technique. The reference interference of nonbinary TI ADCs is discussed and tolerated by the subradix-2 searching scheme. The proposed adders-based encoding circuit is optimized with lower propagation delay to meet high-speed requirements. The prototype was fabricated in a 65-nm CMOS technology. The measurement results show that the ADC achieves a signal-to-noise-plus-distortion ratio of 49.6 dB with a power of 15.95 mW and a figure of merit of 63 fJ/conversion step when operating at 1-GS/s and 458.1-MHz Nyquist input. The ADC core achieves an area of 0.158 mm2.
Effects of clopidogrel and itraconazole on the disposition of efavirenz and its hydroxyl metabolites: exploration of a novel CYP2B6 phenotyping index.

AIMS To evaluate the effects of clopidogrel and itraconazole on the disposition of efavirenz and its hydroxyl metabolites in relation to the CYP2B6*6 genotype and explore potential phenotyping indices for CYP2B6 activity in vivo using a low dose of oral efavirenz. METHODS We conducted a randomized three phase crossover study in 17 healthy Korean subjects pre-genotyped for the CYP2B6*6 allele (CYP2B6*1/*1, n = 6; *1/*6, n = 6; *6/*6, n = 5). Subjects were pretreated with clopidogrel (75 mg day(-1) for 4 days), itraconazole (200 mg day(-1) for 6 days), or placebo and then given a single dose of efavirenz (200 mg). The plasma (0-120 h) and urine (0-24 h) concentrations of efavirenz and its metabolites (7- and 8-hydroxyefavirenz and 8,14-dihydroxyefavirenz) were determined by LC/MS/MS. RESULTS This study is the first to delineate quantitatively the full (phase I and II) metabolic profile of efavirenz and its three hydroxyl metabolites in humans. Clopidogrel pretreatment markedly decreased AUC(0,48 h), C(max) and Ae(0,24 h) for 8,14-dihydroxyefavirenz, compared with placebo; 95% CI of the ratios were 0.55, 0.73, 0.30, 0.45 and 0.25, 0.47, respectively. The 8,14-dihydroxyefavirenz : efavirenz AUC(0,120 h) ratio was significantly correlated with the weight-adjusted CL/F of efavirenz (r(2) ≈ 0.4, P < 0.05), differed with CYP2B6*6 genotype and was affected by clopidogrel pretreatment (P < 0.05) but not by itraconazole pretreatment. CONCLUSIONS The disposition of 8,14-dihydroxy-EFV appears to be sensitive to CYP2B6 activity alterations in human subjects. The 8,14-dihydroxyefaviremz : efavirenz AUC(0,120 h) ratio is attractive as a candidate phenotyping index for CYP2B6 activity in vivo.
Joint Prior Learning for Visual Sensor Network Noisy Image Super-Resolution

The visual sensor network (VSN), a new type of wireless sensor network composed of low-cost wireless camera nodes, is being applied for numerous complex visual analyses in wild environments, such as visual surveillance, object recognition, etc. However, the captured images/videos are often low resolution with noise. Such visual data cannot be directly delivered to the advanced visual analysis. In this paper, we propose a joint-prior image super-resolution (JPISR) method using expectation maximization (EM) algorithm to improve VSN image quality. Unlike conventional methods that only focus on upscaling images, JPISR alternatively solves upscaling mapping and denoising in the E-step and M-step. To meet the requirement of the M-step, we introduce a novel non-local group-sparsity image filtering method to learn the explicit prior and induce the geometric duality between images to learn the implicit prior. The EM algorithm inherently combines the explicit prior and implicit prior by joint learning. Moreover, JPISR does not rely on large external datasets for training, which is much more practical in a VSN. Extensive experiments show that JPISR outperforms five state-of-the-art methods in terms of both PSNR, SSIM and visual perception.
Maturity models in business process management

Purpose – Maturity models are a prospering approach to improving a company's processes and business process management (BPM) capabilities. In fact, the number of corresponding maturity models is so high that practitioners and scholars run the risk of losing track. This paper therefore aims to provide a systematic in‐depth review of BPM maturity models.Design/methodology/approach – The paper follows the accepted research process for literature reviews. It analyzes a sample of ten BPM maturity models according to a framework of general design principles. The framework particularly focuses on the applicability and usefulness of maturity models.Findings – The analyzed maturity models sufficiently address basic design principles as well as principles for a descriptive purpose of use. The design principles for a prescriptive use, however, are hardly met. Thus, BPM maturity models provide limited guidance for identifying desirable maturity levels and for implementing improvement measures.Research limitations/imp.
Data-driven Tactile Sensing using Spatially Overlapping Signals

Traditional methods for achieving high localization accuracy on tactile sensors usually involve a matrix of miniaturized individual sensors distributed on the area of interest. This approach usually comes at a price of increased complexity in fabrication and circuitry, and can be hard to adapt to non-planar geometries. We propose a method where sensing terminals are embedded in a volume of soft material. Mechanical strain in this material results in a measurable signal between any two given terminals. By having multiple terminals and pairing them against each other in all possible combinations, we obtain a rich signal set using few wires. We mine this data to learn the mapping between the signals we extract and the contact parameters of interest. Our approach is general enough that it can be applied with different transduction methods, and achieves high accuracy in identifying indentation location and depth. Moreover, this method lends itself to simple fabrication techniques and makes no assumption about the underlying geometry, potentially simplifying future integration in robot hands.
In vitro and in vivo cytotoxic effect of AntiGan against tumor cells

Novel effective chemopreventive agents against cancer are required to improve current therapeutic rates. The aim of the present study was to investigate the anti-carcinogenesis effect of AntiGan, an extract obtained from the European conger eel, Conger conger, in vitro (human tumor cell lines) and in vivo (murine model of colitis) models. The potential apoptogenic activity after 24 h of incubation with 10, 25 and 50 µl/ml AntiGan was reported using growth inhibition and apoptosis activity assays. In vivo studies were performed in mice by inducing colitis with oral administration of 2% dextran sulphate sodium (DSS) for 5 weeks. Apoptosis was observed in HL-60, Hs 313.T, SW-480, Caco-2 and HT-29 cell lines. The highest level of growth inhibition was observed in Caco-2 (66, 75.8 and 88.1%), HT-29 (56, 73 and 87.6%) and SW-480 (38.5, 61.6, 78.6%) for AntiGan doses of 10, 25 and 50 µl/ml, respectively, compared to untreated cells, while the results of the expression of genes associated with apoptosis indicated a downregulation of B-cell lymphoma 2 (Bcl-2) in all cell lines studied. In vivo, morphopathological alterations in the colon were analyzed by immunohistochemical and staining methods. Tumoral markers, including β-catenin, cyclooxygenase 2 and Bcl-2 were expressed in cryptal cells of the dysplastic colonic mucosa, whereas the levels of interferon-γ expression were also increased when no treatment was applied. In the experimental murine model, the optimal concentration of AntiGan for an effective dose-response was 10% in diet. These results suggested that AntiGan displays a powerful anti-inflammatory effect in DSS-induced colitis, acting as a chemopreventive agent against colon carcinogenesis, most likely due to its apoptogenic peptides that contribute to the induction of apoptosis.
A proof-of-concept study: exon-level expression profiling and alternative splicing in autism using lymphoblastoid cell lines

Objective Autism is a complex, heterogeneous neurobehavioral disorder with many causes and varying degrees of severity. Some genetic implications related to autism may involve gene-regulatory processes such as alternative splicing. Here, we assess the feasibility of profiling exon-level gene expression in autism using the Affymetrix Human exon 1.0 ST array. Methods We examined lymphoblastoid cell line-derived RNAs from five patients with autism compared with five controls. Results Analysis of variance and Bonferroni multiple test correction identified 57 genes exhibiting differential exon-level expression, suggesting potential changes in the resultant alternatively spliced transcripts in autism compared with controls. Genes with differentially expressed exons included CYFIP1, a previously reported autism susceptibility gene. Furthermore, several genes recently reported to have deregulated alternative splicing in autism brain samples showed differential exon expression in our autism group. Conclusion The paucity of autism brain samples and extensive phenotypic heterogeneity of autism demands finding ways to also identify autism-related genomic events in accessible nonbrain resources, which may contribute in biomarker identifications. This proof-of-concept study shows that the analysis of alternative splicing in lymphoblastoid cell line samples has a potential to reveal at least a subset of brain-related deregulation of splicing machinery that might be implicated in autism.
Integrating Brain and Biomechanical Models—A New Paradigm for Understanding Neuro-muscular Control

To date, realistic models of how the central nervous system governs behavior have been restricted in scope to the brain, brainstem or spinal column, as if these existed as disembodied organs. Further, the model is often exercised in relation to an in vivo physiological experiment with input comprising an impulse, a periodic signal or constant activation, and output as a pattern of neural activity in one or more neural populations. Any link to behavior is inferred only indirectly via these activity patterns. We argue that to discover the principles of operation of neural systems, it is necessary to express their behavior in terms of physical movements of a realistic motor system, and to supply inputs that mimic sensory experience. To do this with confidence, we must connect our brain models to neuro-muscular models and provide relevant visual and proprioceptive feedback signals, thereby closing the loop of the simulation. This paper describes an effort to develop just such an integrated brain and biomechanical system using a number of pre-existing models. It describes a model of the saccadic oculomotor system incorporating a neuromuscular model of the eye and its six extraocular muscles. The position of the eye determines how illumination of a retinotopic input population projects information about the location of a saccade target into the system. A pre-existing saccadic burst generator model was incorporated into the system, which generated motoneuron activity patterns suitable for driving the biomechanical eye. The model was demonstrated to make accurate saccades to a target luminance under a set of environmental constraints. Challenges encountered in the development of this model showed the importance of this integrated modeling approach. Thus, we exposed shortcomings in individual model components which were only apparent when these were supplied with the more plausible inputs available in a closed loop design. Consequently we were able to suggest missing functionality which the system would require to reproduce more realistic behavior. The construction of such closed-loop animal models constitutes a new paradigm of computational neurobehavior and promises a more thoroughgoing approach to our understanding of the brain's function as a controller for movement and behavior.
Raman spectroscopy in Geobiology - Advances in detection and interpretation of organic signatures in rocks and minerals

In this thesis, Raman spectroscopy was applied to a broad range of rock types in order to test the ability of detecting and interpreting organic signals. In the field of geobiology Raman spectroscopy is relatively new, and has the great advantage of almost destruction free analyzing of organic and inorganic phases. However, this is complicated by the fact that in many samples vibrations of disordered carbon are the only detectable signals. The interpretation of these signals is not straight forward as the similarity between kerogenous and graphitic material is very high and also thermal maturity influences the carbon signature. Best results could be achieved in rock fractures from the Aspo Hard Rock Laboratory where the organic remains are relatively young, and therefore, still complex molecules could be detected and determined. However, in most other geobiological contexts this is not the case. Sometimes, when dealing with known substances, for the interpretation of the Raman spectra theoretical predictions can be consulted. This could be shown for the detection of melanin in various fossil systems. For the identification of cold seep carbonates the use of Raman spectroscopy turned out to be a good indicator for the discrimination between chemical identical carbonate phases. In the case of older fossil microbial mats or presumably organic material only signals of amorphous carbon can be detected. Here, the interpretation of the exact parameters of the D and the G band (intensity, full width at half height, band position) turned out to be very important for the classification of the carbon signals. Especially for ancient rock material (Archean) with a thermal history further information about the potential organic precursor material could be gained.
Caecal and faecal short-chain fatty acids and stool output in rats fed on diets containing non-starch polysaccharides

The exact mechanisms by which non-starch polysaccharides increase stool output are unknown. In the present study the hypothesis that the site of fermentation and short-chain fatty acid (SCFA) accumulation is related to the action of non-starch polysaccharides (NSP) on stool output was tested. The basal diet (45 g NSP/kg) of forty-three male Wistar rats was supplemented with 50 g/kg of either guar, karaya, tragacanth, gellan, xanthan or ispaghula for 28 d. A further twenty-three rats were maintained on the basal diet for the same time period. Faeces were then collected over 2 d and caecal contents obtained post-mortem. Caecal and faecal wet and dry weights and SCFA were measured. Each supplement had a different effect on the caecal and faecal contents but they appeared to fall into three groups when compared with the basal diet. In group 1, guar gum affected only caecal SCFA. It had no effect on stool output or faecal SCFA. In group 2, karaya increased caecal SCFA and tragacanth, karaya and xanthan increased faecal SCFA and faecal water. In group 3, ispaghula and gellan had no consistent effect on caecal or faecal SCFA concentrations but increased Total faecal SCFA output and increased faecal wet and dry weight. Although the knowledge that SCFA are rapidly absorbed in the large intestine has led us to believe that they play no role in determining faecal output, these results suggest that in some cases where NSP are slowly fermented, and increase faecal SCFA, the role of the SCFA may need to be reassessed.
Fabrication of nanofibrous scaffolds for tissue engineering applications

Nanofibrous scaffolds which mimic the structural features of a natural extracellular matrix (ECM) can be appealing scaffold candidates for tissue engineering as they provide similar physical cues to the native environment of the targeted tissue to regenerate. This chapter discusses different strategies to fabricate nanofibrous scaffolds for tissue engineering. We first describe three major methods for nanofibrous scaffold fabrication: molecular self-assembly, phase separation, and electrospinning. Then, approaches for surface modification of nanofibrous scaffolds including blending and coating, plasma treatment, wet chemical methods, and surface graft polymerization are presented. Finally, applications of nanofibrous scaffolds in tissue engineering are introduced.