gebhart/patrepeval huggingface dataset:
CD2 mediates activation of the IFN‐γ intronic STAT binding region in mucosal T cells (2003)

The pathways leading to activation of mucosal lamina propria (LP) T cells differ from those of peripheral T cells. LP T cells exhibit enhanced IFN-gamma secretion when activated through the CD2 pathway. This study demonstrates CD2 signaling is followed by activation of STAT proteins in both peripheral blood mononuclear cells (PBMC) and lamina propria mononuclear cells (LPMC), although, distinct differences exist in regulation of IFN-gamma promoter gene expression. Both PBMC and LPMC exhibit enhanced secretion and transactivation of the -2.7 kb IFN-gamma promoter region following CD2 signaling, but the IFN-gamma STAT-binding region (within the first intron) serves as an orientation-independent enhancer of promoter activity only in LPMC. Mutation of the STAT site impairs enhancer activity. In LPMC, but not PBMC, CD2 mediates binding of STAT1 and STAT4 to the IFN-gamma intronic element. Unstimulated LMPC exhibit low levels of phosphotyrosine-STAT4 and STAT1 and phosphoserine-STAT1, which increase substantially following CD2 activation. In PBMC, CD2-mediated phosphorylation is primarily restricted to enhanced levels of phosphotyrosine-STAT1. Thus, these results indicate that both common as well as unique molecular mechanisms are involved in CD2 signaling and activation of the STAT pathway in LP T cells which are critical for regulation of IFN-gamma expression in the gut.
Impact of the Mobile HealthPROMISE Platform on the Quality of Care and Quality of Life in Patients With Inflammatory Bowel Disease: Study Protocol of a Pragmatic Randomized Controlled Trial (2015)

ClinicalTrials.gov NCT02322307; https://clinicaltrials.gov/ct2/show/NCT02322307 (Archived by WebCite at http://www.webcitation.org/6W8PoYThr).
Versatile acid solvents for pristine carbon nanotube assembly (2022)

Chlorosulfonic acid and oleum are ideal solvents for enabling the transformation of disordered carbon nanotubes (CNTs) into precise and highly functional morphologies. Currently, processing these solvents using extrusion techniques presents complications due to chemical compatibility, which constrain equipment and substrate material options. Here, we present a novel acid solvent system based on methanesulfonic or <i>p</i>-toluenesulfonic acids with low corrosivity, which form true solutions of CNTs at concentrations as high as 10 g/liter (≈0.7 volume %). The versatility of this solvent system is demonstrated by drop-in application to conventional manufacturing processes such as slot die coating, solution spinning continuous fibers, and 3D printing aerogels. Through continuous slot coating, we achieve state-of-the-art optoelectronic performance (83.6 %T and 14 ohm/sq) at industrially relevant production speeds. This work establishes practical and efficient means for scalable processing of CNT into advanced materials with properties suitable for a wide range of applications.
Dynamic changes of ICA‐derived EEG functional connectivity in the resting state (2012)

An emerging issue in neuroscience is how to identify baseline state(s) and accompanying networks termed "resting state networks" (RSNs). Although independent component analysis (ICA) in fMRI studies has elucidated synchronous spatiotemporal patterns during cognitive tasks, less is known about the changes in EEG functional connectivity between eyes closed (EC) and eyes open (EO) states, two traditionally used baseline indices. Here we investigated healthy subjects (n = 27) in EC and EO employing a four-step analytic approach to the EEG: (1) group ICA to extract independent components (ICs), (2) standardized low-resolution tomography analysis (sLORETA) for cortical source localization of IC network nodes, followed by (3) graph theory for functional connectivity estimation of epochwise IC band-power, and (4) circumscribing IC similarity measures via hierarchical cluster analysis and multidimensional scaling (MDS). Our proof-of-concept results on alpha-band power demonstrate five statistically clustered groups with frontal, central, parietal, occipitotemporal, and occipital sources. Importantly, during EO compared with EC, graph analyses revealed two salient functional networks with frontoparietal connectivity: a more medial network with nodes in the mPFC/precuneus which overlaps with the "default-mode network" (DMN), and a more lateralized network comprising the middle frontal gyrus and inferior parietal lobule, coinciding with the "dorsal attention network" (DAN). Furthermore, a separate MDS analysis of ICs supported the emergence of a pattern of increased proximity (shared information) between frontal and parietal clusters specifically for the EO state. We propose that the disclosed component groups and their source-derived EEG functional connectivity maps may be a valuable method for elucidating direct neuronal (electrophysiological) RSNs in healthy people and those suffering from brain disorders.
Tuning antiferromagnetic interlayer exchange coupling in La0.67Ca0.33MnO3-based synthetic antiferromagnets (2019)

Synthetic antiferromagnets (S-AFMs) composed of strongly correlated oxides have recently been demonstrated to show potential applications in spintronic devices. However, the tunability for the interlayer exchange coupling (IEC) in these all-oxide S-AFMs remains unclear. Here, we report that the IEC in La0.67Ca0.33MnO3/CaRu1-xTixO3 [LCMO/CRTO(x), (0 ≤ x ≤ 0.5)] superlattices (SLs) grown on NdGaO3 (NGO) substrates can be tuned via altering the composition of the spacer layer as well as the growth orientation. The IEC changes from ferromagnetic to antiferromagnetic (AF) type upon doping the spacer CRO with Ti. As the Ti doping level (x) increases, the AF-IEC field (Hex) peaks at x = 0.2, while the Curie temperature (TC) and coercivity (HC) decrease monotonously. Also, we find that the SLs grown on NGO(110) substrates possess larger Hex and smaller HC compared with those grown on NGO(001). Based on these observations, we further fabricate a “hybrid” heterostructure in the form of CRO/LCMO/CRTO(x = 0.5)/LCMO/CRO. Thanks to the collective roles of CRO and CRTO layers, the AF-IEC is maintained and meanwhile the TC is greatly enhanced. The observed high tunability of AF-IEC in LCMO-based S-AFM can primarily be ascribed to the highly tunable properties of the oxide constituents in the AFMs, which are sensitive to both the chemical composition and the growth orientation. Our work paves a way to control the AF-IEC behavior in all-perovskite-oxide S-AFMs, and the results may be instructive to the design of oxide spintronic devices.
Estimation of Closed Cup Flash Points of Combustible Solvent Blends (2005)

A simple formulation is developed for the accurate estimation of flash points of miscible combustible solvent mixtures. It consists of an equation, which was previously validated for pure compounds. It is shown that this procedure allows accurate estimations for ideal and nonideal binary and ternary mixtures. This method does not need prerequisites such as the lower flammability limits of pure components and the use of the Le Chatelier law.
A Bayesian Semiparametric Competing Risk Model with Unobserved Heterogeneity (2014)

Abstract This paper generalizes existing econometric models for censored competing risks by introducing a new flexible specification based on a piecewise linear baseline hazard, time‐varying regressors, and unobserved individual heterogeneity distributed as an infinite mixture of generalized inverse Gaussian (GIG) densities, nesting the gamma kernel as a special case. A common correlated latent time effect induces dependence among risks. Our model is based on underlying latent exit decisions in continuous time while only a time interval containing the exit time is observed, as is common in economic data. We do not make the simplifying assumption of discretizing exit decisions—our competing risk model setup allows for latent exit times of different risk types to be realized within the same time period. In this setting, we derive a tractable likelihood based on scaled GIG Laplace transforms and their higher‐order derivatives. We apply our approach to analyzing the determinants of unemployment duration with exits to jobs in the same industry or a different industry among unemployment insurance recipients on nationally representative individual‐level survey data from the US Department of Labor. Our approach allows us to conduct a counterfactual policy experiment by changing the replacement rate: we find that the impact of its change on the probability of exit from unemployment is inelastic. Copyright © 2014 John Wiley & Sons, Ltd.
The use of magnetoencephalography in the study of psychopharmacology (pharmaco-MEG) (2014)

Magnetoencephalography (MEG) is a neuroimaging technique that allows direct measurement of the magnetic fields generated by synchronised ionic neural currents in the brain with moderately good spatial resolution and high temporal resolution. Because chemical neuromodulation can cause changes in neuronal processing on the millisecond time-scale, the combination of MEG with pharmacological interventions (pharmaco-MEG) is a powerful tool for measuring the effects of experimental modulations of neurotransmission in the living human brain. Importantly, pharmaco-MEG can be used in both healthy humans to understand normal brain function and in patients to understand brain pathologies and drug-treatment effects. In this paper, the physiological and technical basis of pharmaco-MEG is introduced and contrasted with other pharmacological neuroimaging techniques. Ongoing developments in MEG analysis techniques such as source-localisation, functional and effective connectivity analyses, which have allowed for more powerful inferences to be made with recent pharmaco-MEG data, are described. Studies which have utilised pharmaco-MEG across a range of neurotransmitter systems (GABA, glutamate, acetylcholine, dopamine and serotonin) are reviewed.
The relevance of the IgG subclass of autoantibodies for blister induction in autoimmune bullous skin diseases (2007)

Autoimmune bullous skin diseases are characterized by autoantibodies and T cells specific to structural proteins maintaining cell-cell and cell-matrix adhesion in the skin. Existing clinical and experimental evidence generally supports a pathogenic role of autoantibodies for blister formation. These autoantibodies belong to several IgG subclasses, which associate with different functional properties and may thus determine the pathogenic potential of IgG antibodies. In pemphigus diseases, binding of IgG to keratinocytes is sufficient to cause intraepidermal blisters without engaging innate immune effectors and IgG4 autoantibodies seem to mainly mediate acantholysis. In contrast, in most subepidermal autoimmune blistering diseases, complement activation and recruitment and activation of leukocytes by autoantibodies are required for blister induction. In these conditions, tissue damage is thought to be mainly mediated by IgG1, but not IgG4 autoantibodies. This review summarizes the current knowledge on the pathogenic relevance of the IgG subclass of autoantibodies for blister formation. Characterization of the pathogenically relevant subclass(es) of autoantibodies not only provides mechanistic insights, but should greatly facilitate the development of improved therapeutic modalities of autoimmune blistering diseases.
Word recognition in natural scene and video images using Hidden Markov Model (2013)

Text recognition from a natural scene and video is challenging compared to that in scanned document images. This is due to the problems of text on different sources of various styles, font variation, font size variations, background variations, etc. There are approaches for word segmentation from video and scene images to feed the word image into OCRs. Nevertheless, such methods often fail to yield satisfactory results in recognition. Therefore, in this paper, we propose to combine Hidden Markov Model (HMM) and Convolutional Neural Network (CNN) to achieve good recognition rate. Sequential gradient features with HMM help to find character alignment of a word. Later the character alignments are verified by Convolutional Neural network (CNN). The approach is tested on both video and scene data to show the effectiveness of the proposed approach. The results are found encouraging.
Mold cleaning with polydimethylsiloxane for nanoimprint lithography (2013)

We present a simple and effective mold cleaning method for nanoimprint lithography. Polydimethylsiloxane (PDMS) prepolymer is spin-coated onto a contaminated imprint mold, thermally cured in an ambient environment, and then peeled off afterwards. Contaminants of 100 s μm to sub-50 nm sizes are effectively cleaned within one cycle. During the cleaning process, a very thin PDMS film (1-2 nm) is uniformly coated onto the mold surface, serving as a protection and anti-sticking layer.
Status of surfactants as penetration enhancers in transdermal drug delivery (2012)

Surfactants are found in many existing therapeutic, cosmetic, and agro-chemical preparations. In recent years, surfactants have been employed to enhance the permeation rates of several drugs via transdermal route. The application of transdermal route to a wider range of drugs is limited due to significant barrier to penetration across the skin which is associated with the outermost stratum corneum layer. Surfactants have effects on the permeability characteristics of several biological membranes including skin. They have the potential to solubilize lipids within the stratum corneum. The penetration of the surfactant molecule into the lipid lamellae of the stratum corneum is strongly dependent on the partitioning behavior and solubility of surfactant. Surfactants ranging from hydrophobic agents such as oleic acid to hydrophilic sodium lauryl sulfate have been tested as permeation enhancer to improve drug delivery. This article reviews the status of surfactants as permeation enhancer in transdermal drug delivery of various drugs.
Genome‐wide RNA interference analysis of renal carcinoma survival regulators identifies MCT4 as a Warburg effect metabolic target (2012)

Clear cell renal cell carcinoma (ccRCC) is the most common pathological subtype of kidney cancer. Here, we integrated an unbiased genome-wide RNA interference screen for ccRCC survival regulators with an analysis of recurrently overexpressed genes in ccRCC to identify new therapeutic targets in this disease. One of the most potent survival regulators, the monocarboxylate transporter MCT4 (SLC16A3), impaired ccRCC viability in all eight ccRCC lines tested and was the seventh most overexpressed gene in a meta-analysis of five ccRCC expression datasets. MCT4 silencing impaired secretion of lactate generated through glycolysis and induced cell cycle arrest and apoptosis. Silencing MCT4 resulted in intracellular acidosis, and reduction in intracellular ATP production together with partial reversion of the Warburg effect in ccRCC cell lines. Intra-tumoural heterogeneity in the intensity of MCT4 protein expression was observed in primary ccRCCs. MCT4 protein expression analysis based on the highest intensity of expression in primary ccRCCs was associated with poorer relapse-free survival, whereas modal intensity correlated with Fuhrman nuclear grade. Consistent with the potential selection of subclones enriched for MCT4 expression during disease progression, MCT4 expression was greater at sites of metastatic disease. These data suggest that MCT4 may serve as a novel metabolic target to reverse the Warburg effect and limit disease progression in ccRCC.
Mechanistic Studies of the Inactivation of TEM-1 and P99 by NXL104, a Novel Non-β-Lactam β-Lactamase Inhibitor (2010)

NXL104 is a potent inhibitor of class A and C serine β-lactamases, including KPC carbapenemases. Native and NXL104-inhibited TEM-1 and P99 β-lactamases analyzed by liquid chromatography-electrospray ionization-time of flight mass spectrometry revealed that the inactivated enzymes formed a covalent adduct with NXL104. The principal inhibitory characteristics of NXL104 against TEM-1 and P99 β-lactamases were determined, including partition ratios, dissociation constants (K), rate constants for deactivation (k(2)), and reactivation rates. NXL104 is a potent inhibitor of TEM-1 and P99, characterized by high carbamylation efficiencies (k(2)/K of 3.7 × 10(5) M(-1) s(-1) for TEM-1 and 1 × 10(4) M(-1) s(-1) for P99) and slow decarbamylation. Complete loss of β-lactamase activity was obtained at a 1/1 enzyme/NXL104 ratio, with a k(3) value (rate constant for formation of product and free enzyme) close to zero for TEM-1 and P99. Fifty percent inhibitory concentrations (IC(50)s) were evaluated on selected β-lactamases, and NXL104 was shown to be a very potent inhibitor of class A and C β-lactamases. IC(50)s obtained with NXL104 (from 3 nM to 170 nM) were globally comparable on the β-lactamases CTX-M-15 and SHV-4 with those obtained with the comparators (clavulanate, tazobactam, and sulbactam) but were far lower on TEM-1, KPC-2, P99, and AmpC than those of the comparators. In-depth studies on TEM-1 and P99 demonstrated that NXL104 had a comparable or better affinity and inactivation rate than clavulanate and tazobactam and in all cases an improved stability of the covalent enzyme/inhibitor complex.
User-Friendly Personal Photo Browsing for Mobile Devices (2008)

In this paper, a user-friendly mobile photo album system and albuming functions to support it are introduced. Stand-alone implementation in a mobile device is considered. The main idea of user-friendly photo browsing for albuming functions is to enable users to organize and browse their photos along semantically meaningful axes of events, personal identities, and categories. Experimental results demonstrate that the proposed method would be sufficiently useful and efficient for browsing personal photos in mobile environment.
PERANCANGAN SISTEM INFORMASI PENJADWALAN SEKOLAH BERBASIS WEB SDN 53 SAWERIGADING KOTA PALOPO (2023)

Education in elementary schools is an educational process that is most important in the development of students. This is because Elementary School is a source of basic education for children to gain knowledge after they are educated by their parents at home, and enter Kindergarten, which is an environment for playing and learning outside the home. It is in this Elementary School that they will receive guidance, new knowledge, and formal education from a teacher. Elementary schools are said to be important because of the nature and basic character of students who easily receive and process information from an early age. This is what makes education in elementary schools very decisive for the success of students in secondary schools so that they are able to compete in the current era of globalization. good way of speaking. ABSTRAKPendidikan di Sekolah Dasar merupakan suatu proses pendidikan yang paling penting dalam perkembangan siswa. Hal ini dikarenakan Sekolah Dasar adalah sumber pendidikan dasar bagi anak untuk memperoleh ilmu setelah mereka dididik orang tua di dalam rumah, dan memasuki Taman Kanak-kanak yaitu lingkungan bermain dan belajar diluar rumah. Di Sekolah Dasar ini lah mereka akan mendapat bimbingan, ilmu pengetahuan baru, dan pendidikan formal dari seorang guru. Sekolah Dasar dikatakan penting karena sifat dan karakter dasar siswa yang mudah menerima dan memproses informasi sejak dini. Hal ini yang membuat pendidikan di Sekolah Dasar sangat menentukan keberhasilan siswa di sekolah lanjutan agar mampu bersaing di era globalisasi seperti saat ini.. Proses pendidikan dasar yang sangat penting untuk kehidupan peserta didik kedepannya, mereka tidak hanya dikenalkan dengan pergaulan baru tetapi juga mulai dikenalkan tata cara berbahasa yang baik.
Advances in air coupled NDE for rapid scanning applications (1994)

Results obtained during experiments with a state of the art NDE system are presented. These results demonstrate the sensitivity that can be achieved with modem piezoceramic composite transducers. One set of experiments was concerned with the through transmission inspection of composite sections. These included thick honeycomb structures such as those used in the aircraft industry. The work involved a study of the influence of multiple reflections as a function of transducer airgap separation. Also investigated were the generation and detection of shear waves, Rayleigh waves and Lamb waves. The Lamb wave technique has been used to demonstrate the feasibility of producing real-time images of defects in thin plates of various materials including carbon fibre and aluminium
Cushing's disease preceded by generalized glucocorticoid resistance: clinical consequences of a novel, dominant-negative glucocorticoid receptor mutation. (1996)

Generalized glucocorticoid resistance is associated with chronic hyperactivation of the hypothalamic-pituitary-adrenal axis, compensating for impaired glucocorticoid receptor function. We report a unique patient with sporadic generalized glucocorticoid resistance who, at age 33, presented with infertility and hypertension and, at 38, developed pituitary Cushing's disease. Leukocyte-binding studies revealed normal affinity of the glucocorticoid receptor but a reduction of binding sites by 50%. [3H]thymidine incorporation by this patient's lymphocytes was not suppressible by dexamethasone. He had a novel heterozygous missense mutation in the glucocorticoid receptor gene (isoleucine 559 to asparagine 559). The mutant receptor exhibited a strong dominant-negative effect on the ability of the wild-type receptor to induce gene transcription in vitro. The mutation was present in all of the patient's cultured lymphoblasts and fibroblasts as well as in 50% of his sperm, as demonstrated by single-cell polymerase chain reaction; it was not present in his parents and seven siblings. This novel mutation was thus both de novo and present in the germ line. Immunohistochemical staining of this patient's pituitary corticotropinoma revealed accumulation of p53 protein, indicating the presence of a putative somatic oncogenic mutation in the p53 gene in the tumor cells. Investigation of the lymphoblast and skin fibroblast cultures for p53 abnormalities did not show any aberration. Thus, a novel de novo germ line mutation of the glucocorticoid receptor with strong dominant-negative activity caused severe sporadic generalized glucocorticoid resistance, which preceded corticotroph adenoma formation. The latter probably was due to the combined effects of chronic corticotroph hyperstimulation, decreased glucocorticoid negative feedback, and at least one subsequent somatic defect in the control of the cell cycle.