Miracle-dz/UniFAR-FTUs huggingface dataset:
Heat shock protein expression in the eye and in uveal melanoma.

PURPOSE Expression of heat shock proteins (HSPs) is of prognostic significance in several tumor types, whereas HSPs may also have clinical use as stimulators in tumor vaccination. HSP expression levels were determined in normal eyes and in uveal melanoma and tested whether HSPs expression was associated with prognostic parameters in the uveal melanoma. METHODS Expression of HSP27, HSP70, HSP90, and glycoprotein96 (GP96) were determined on paraffin-embedded and frozen sections from seven healthy eyes, 20 primary uveal melanomas without prior treatment, and 18 uveal melanomas after prior treatment. HSP expression was determined by alkaline phosphatase-anti-alkaline phosphatase (APAAP) immunohistochemistry, using appropriate monoclonal antibodies and scored semiquantitatively. Expression of HSPs was validated on retinal tissue of a normal eye and in two uveal melanoma cell lines by Western blot analysis. RESULTS Expression of HSPs was observed in epithelial and pigment cells of the normal eyes. In uveal melanoma, the level of expression of HSPs varied. Expression of HSP27 and GP96 was noted in more than 30 of 38 uveal melanomas (with, respectively, a mean of 66% and 53% positive cells). HSP70 and HSP90 were expressed in 6% of tumor cells. The amount of expression of any of the HSP types was not significantly associated with known prognostic factors. There was not a significant difference in expression of the HSPs between uveal melanomas with or without any type of prior treatment. CONCLUSIONS In this study, expression of HSPs in uveal melanoma is not correlated with known histopathologic prognostic factors. The high expression of GP96 indicates that this protein is a potential vector in tumor vaccination in patients with large uveal melanomas.
Design and Evaluation of Meningococcal Vaccines through Structure-Based Modification of Host and Pathogen Molecules

Neisseria meningitis remains a leading cause of sepsis and meningitis, and vaccines are required to prevent infections by this important human pathogen. Factor H binding protein (fHbp) is a key antigen that elicits protective immunity against the meningococcus and recruits the host complement regulator, fH. As the high affinity interaction between fHbp and fH could impair immune responses, we sought to identify non-functional fHbps that could act as effective immunogens. This was achieved by alanine substitution of fHbps from all three variant groups (V1, V2 and V3 fHbp) of the protein; while some residues affected fH binding in each variant group, the distribution of key amino underlying the interaction with fH differed between the V1, V2 and V3 proteins. The atomic structure of V3 fHbp in complex with fH and of the C-terminal barrel of V2 fHbp provide explanations to the differences in the precise nature of their interactions with fH, and the instability of the V2 protein. To develop transgenic models to assess the efficacy of non-functional fHbps, we determined the structural basis of the low level of interaction between fHbp and murine fH; in addition to changes in amino acids in the fHbp binding site, murine fH has a distinct conformation compared with the human protein that would sterically inhibit binding to fHbp. Non-functional V1 fHbps were further characterised by binding and structural studies, and shown in non-transgenic and transgenic mice (expressing chimeric fH that binds fHbp and precisely regulates complement system) to retain their immunogenicity. Our findings provide a catalogue of non-functional fHbps from all variant groups that can be included in new generation meningococcal vaccines, and establish proof-in-principle for clinical studies to compare their efficacy with wild-type fHbps.
A Memory Retrieval-Extinction Procedure to Prevent Drug Craving and Relapse

Disrupting Drug Memories In drug recovery programs, conditioned responses to drug cues can be inhibited by extinction protocols. However, extinguished behavioral responses can return after renewed exposure to the drug itself, or to drug-associated paraphernalia, and sometimes these responses reemerge spontaneously. Attempts have been made to disrupt cue-memory reconsolidation or to strengthen extinction learning, but these efforts have often relied on pharmacological agents that either are not approved for human use or cause problematic side effects. Xue et al. (p. 241; see the Perspective by Milton and Everitt) have tried to circumvent the limitations of pharmacological approaches in daily retrieval trials conducted in rats within the short timeframe of the “reconsolidation window” before the extinction sessions reduced drug-induced reinstatement, spontaneous recovery, and renewal of drug seeking. When translated to heroin-addicted humans, similar retrieval trials before extinction sessions impaired cue-induced heroin craving up to 6 months later. This retrieval-extinction procedure is thus a promising non-pharmacological treatment for addiction. A behavioral intervention that decreases drug seeking in rat models of relapse can decrease drug craving in heroin addicts. Drug use and relapse involve learned associations between drug-associated environmental cues and drug effects. Extinction procedures in the clinic can suppress conditioned responses to drug cues, but the extinguished responses typically reemerge after exposure to the drug itself (reinstatement), the drug-associated environment (renewal), or the passage of time (spontaneous recovery). We describe a memory retrieval-extinction procedure that decreases conditioned drug effects and drug seeking in rat models of relapse, and drug craving in abstinent heroin addicts. In rats, daily retrieval of drug-associated memories 10 minutes or 1 hour but not 6 hours before extinction sessions attenuated drug-induced reinstatement, spontaneous recovery, and renewal of conditioned drug effects and drug seeking. In heroin addicts, retrieval of drug-associated memories 10 minutes before extinction sessions attenuated cue-induced heroin craving 1, 30, and 180 days later. The memory retrieval-extinction procedure is a promising nonpharmacological method for decreasing drug craving and relapse during abstinence.
Memory Encoding and Dopamine in the Aging Brain: A Psychopharmacological Neuroimaging Study

Normal aging brings with it changes in dopaminergic and memory functions. However, little is known about how these 2 changes are related. In this study, we identify a link between dopamine, episodic memory networks, and aging, using pharmacological functional magnetic resonance imaging. Young and older adults received a D2-like agonist (Bromocriptine, 1.25 mg), a D2-like antagonist (Sulpiride, 400 mg), and Placebo, in a double-blind crossover procedure. We observed group differences, during memory encoding, in medial temporal, frontal, and striatal regions and moreover, these regions were differentially sensitive across groups to dopaminergic perturbation. These findings suggest that brain systems underlying memory show age-related changes and that dopaminergic function may be key in understanding these changes. That these changes have behavioral consequences was suggested by the observation that drug modulations were most pronounced in older subjects with poorer recognition memory. Our findings provide direct evidence linking ageing, memory, and dopaminergic change.
An Efficient Memetic Algorithm for Influence Maximization in Social Networks

Influence maximization is to extract a small set of nodes from a social network which influences the propagation maximally under a cascade model. In this paper, we propose a memetic algorithm for community-based influence maximization in social networks. The proposed memetic algorithm optimizes the 2-hop influence spread to find the most influential nodes. Problem-specific population initialization and similarity-based local search are designed to accelerate the convergence of the algorithm. Experiments on three realworld datasets demonstrate that our algorithm has competitive performances to the comparing algorithms in terms of effectiveness and efficiency. For example, on a real-world network of 15233 nodes and 58891 edges, the influence spread of the proposed algorithm is 12.5%, 13.2% and 173.5% higher than the three comparing algorithms Degree, PageRank and Random, respectively.
The "good behavior game": a systematic replication in two unruly transitional classrooms

A systematic replication of the "good behavior game" and manipulation of teacher attention for reducing disruptive behavior in two classrooms were studied. The game plus teacher attention proved effective for reducing a variety of disruptive behaviors (e.g., talking out, out-of-seat, cursing, etc.), as well as decreasing teacher attention to these behaviors. Although disruptive behavior and teacher attention to it were successfully treated with the procedures, both student and teacher behavior showed marked increases across postcheck sessions after treatment was no longer monitored by the experimenter. Language: en
A fixed-priority-driven open environment for real-time applications

This paper extends the useful concept of open systems proposed by W.S. Liu, et al. (1997) in scheduling real-time applications and non-real-time applications, where the schedulability of each real-time application can be validated independently of other applications in the system. We replace the underlying earliest-deadline-first OS scheduler of the open system architecture by W.S. Liu, et al. (1997) with a rate-monotonic OS scheduler. The motivation behind this work is that many existing operating systems may not support the earliest deadline first scheduling very well. We propose to use the idea of sporadic servers to preserve CPU cycles for applications. We also develop schedulability tests for real-time applications which adopt the rate monotonic scheduling algorithm, the earliest deadline first scheduling algorithm, the priority ceiling protocol, and the stack resource policy. We allow tasks in each application to share local and global non-preemptable resources. A global resource synchronization mechanism is proposed. This paper provides a fixed-priority-based alternative for the important open system architecture.
A supervised clustering approach for extracting predictive information from brain activation images

It is a standard approach to consider that images encode some information such as face expression or biomarkers in medical images; decoding this information is particularly challenging in the case of medical imaging, because the whole image domain has to be considered a priori to avoid biasing image-based prediction and image interpretation. Feature selection is thus needed, but is often performed using mass-univariate procedures, that handle neither the spatial structure of the images, nor the multivariate nature of the signal. Here we propose a solution that computes a reduced set of high-level features which compress the image information while retaining its informative parts: first, we introduce a hierarchical clustering of the research domain that incorporates spatial connectivity constraints and reduces the complexity of the possible spatial configurations to a single tree of nested regions. Then we prune the tree in order to produce a parcellation (division of the image domain) such that parcel-based signal averages optimally predict the target information. We show the power of this approach with respect to reference techniques on simulated data and apply it to enhance the prediction of the subject's behaviour during functional Magnetic Resonance Imaging (fMRI) scanning sessions. Besides its superior performance, the method provides an interpretable weighting of the regions involved in the regression or classification task.
A Let-7 MicroRNA SNP in the KRAS 3′UTR Is Prognostic in Early-Stage Colorectal Cancer

Purpose: Colorectal cancer (CRC) is a common cause of death worldwide. Tumor-node-metastasis-system stage is currently used to guide therapy decisions but lacks precision. Prognostic biomarkers are needed to refine stratification of patients for chemotherapy but validated biomarkers are not yet available. Recently, a SNP in a lethal-7 (let-7) miRNA complementary site (LCS6) in the KRAS 3′untranslated region was suggested to affect survival in metastatic CRC. Effects in early-stage CRC are however unknown. We studied KRAS-LCS6 genotype, hypothesizing that it might identify early-stage cases with a poor prognosis, and could potentially be used in therapy decision-making. Experimental Design: We studied 409 early stage, 182 stage III, and 69 stage IV cases, and 1,886 subcohort members from the Netherlands Cohort Study. KRAS-LCS6 genotype was assessed with TaqMan PCR. Kaplan–Meier analyses or Cox regression were used to assess associations between genotype and CRC risk or cause-specific survival. Results: Early-stage cases with the KRAS-LCS6 variant had a lower CRC risk (incidence-rate ratio 0.68; 95% CI: 0.49–0.94) and a better survival (log-rank P = 0.038; HR 0.46; 95% CI: 0.18–1.14). In patients with KRAS-mutated CRC carrying the KRAS-LCS6 variant, the better outcome was enhanced as no patients died of CRC (log-rank P = 0.017). In advanced patients, no clear association between genotype and CRC risk or survival was observed. Conclusions: Our results indicate that early-stage CRC cases with the KRAS-LCS6 variant have a better outcome. In advanced disease, the better outcome no longer exists. For early-stage patients, KRAS-LCS6 genotype combined with KRAS mutations merits validation as a prognostic biomarker and consideration in therapy decision-making. Clin Cancer Res; 17(24); 7723–31. ©2011 AACR.
Methodologies for the analytical determination of ferrate(VI): A Review

This paper reviewed different analytical techniques to determine concentrations of the environmentally-friendly oxidant ferrate(VI) (FeVIO2− 4, Fe(VI)) anion in solid and solution samples. The techniques included volumetric (chromite and arsenite), electrochemical (cyclic voltammetry and potentiometry), and spectrophotometric methods (Fourier transform infrared, Mössbauer, UV-Visible, 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonate (ABTS), and fluorescence). The importance of the techniques were briefly described. This paper also presented a newly developed method for the determination of low concentrations (0.25 μM) of Fe(VI)) using the reaction between Fe(VI) and iodide (I−), which formed the yellowish color of I− 3 that could be measured spectrophotometrically at 351 nm. The increase in I− 3 was linear with respect to Fe(VI) added (0.25−76 μM) in buffered solutions at pH 5.5–9.3. The linearity was not affected by the ions present in tap water.
Agro-sense: Precision agriculture using sensor-based wireless mesh networks

Advances in wireless personal area networks have made the practical deployment of various services possible, which until a few years ago was considered extremely costly or labor intensive. We build such a wireless sensor network for precision agriculture where real time data of the climatologieal and other environmental properties are sensed and relayed to a central repository. The architecture comprises of three distinct sections - (a) the sensor-nodes (b) the wireless mesh network and (c) the actuation components. The sensors are selected based on the properties suited for the most common crops and we identify four such attributes. The sensor network is based on the IEEE-802.15. 4 standard and we develop a new static routing algorithm suited for the sensing application. The algorithm overrides the deficiency of the Hierarchical Routing scheme inherent in the ZigBee specification where the Csklp addressing algorithm limits the possible depth of the network topology due to address wastage. The new algorithm maintains the hierarchical network topology and thus ensures routing at its optimal best. The algorithms for both addressing and routing are provided. The actuation components are also a part of mesh network and are activated wirelessly for controlling irrigation and fertigation.
The Statistical Translation Module in the Verbmobil System

In the VERBMOBIL project several translation methods are used concurrently to improve the overall performance of the system. One of the translation modules is based on a statistical approach. In this paper, we give an overview of this approach and how it is embedded in the VERBMOBIL system. Results from a comparative evaluation are given to compare the statistical approach to the other translation methods.
Engaging Citizens in Managing Electronic Government Service Quality: A Country-Level Analysis

Despite an extensive amount of research carried out and knowledge accumulated to explain the adoption of electronic services in public sector, the issue of managing egovernment service quality (EGSQ) remains an unresolved and relatively understudied topic. To address this knowledge gap, using the Technology-Organization-Environment (TOE) theory and the literature on citizen engagement (or participation); we posit that information and communication technology (ICT) infrastructure, lack of citizen orientation (in form of low ethics and high corruption), and institutional regulations will have both direct relationship with EGSQ and indirect relationship with EGSQ through the mediating effects of e-participation. Based on publicly available archival data from 123 countries, our preliminary results supported the hypothesized model. More specifically, ICT infrastructure, lack of citizen orientation, institutional regulations, and e-participation had a direct relationship with EGSQ. Further, eparticipation fully mediated the relationship of ICT infrastructure and institutional regulations with EGSQ. Results also indicate that the relationship of lack of citizen orientation with EGSQ was not mediated by e-participation. Implications of our preliminary findings and future plans of our research are highlighted.
A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares

We introduce a new algorithm for the solution of systems of nonlinear equations and nonlinear least-squares problems that attempts to combine the efficiency of filter techniques and the robustness of trust-region methods. The algorithm is shown, under reasonable assumptions, to globally converge to zeros of the system, or to first-order stationary points of the Euclidean norm of its residual. Preliminary numerical experience is presented that shows substantial gains in efficiency over the traditional monotone trust-region approach.
Making Sense of It: Roles of the Sensory Circumventricular Organs in Feeding and Regulation of Energy Homeostasis

Obesity is associated with significant health risks including stroke and heart disease. The prevalence of obesity has dramatically increased over the past 20 years. Although the development of obesity is clearly related to changing lifestyles, the central nervous system plays a key role in regulation of energy balance. To develop effective strategies for treating obesity, we must gain a clearer understanding of the neuro-circuitry and signaling mechanisms involved. Toward this end, recent progress has been made in the understanding of the roles played by the sensory circumventricular organs (CVOs) of the brain. These areas lack the normal blood-brain barrier and thus act as transducers of signals between the blood, other centers in the brain, and the cerebrospinal fluid. This review focuses on the roles played by the sensory CVOs in detecting and responding to a number of signals that carry information regarding nutritional status, including cholecystokinin, amylin, ghrelin, peptide YY, pancreatic polypeptide, leptin, adiponectin, and glucose.
Quantization of models with non-compact quantum group symmetry: Modular XXZ magnet and lattice sinh-Gordon model

We define and study certain integrable lattice models with non-compact quantum group symmetry (the modular double of ) including an integrable lattice regularization of the sinh-Gordon model and a non-compact version of the XXZ model. Their fundamental R-matrices are constructed in terms of the non-compact quantum dilogarithm. Our choice of the quantum group representations naturally ensures self-adjointness of the Hamiltonian and the higher integrals of motion. These models are studied with the help of the separation of variables method. We show that the spectral problem for the integrals of motion can be reformulated as the problem to determine a subset among the solutions to certain finite difference equations (Baxter equation and quantum Wronskian equation) which is characterized by suitable analytic and asymptotic properties. A key technical tool is the so-called -operator, for which we give an explicit construction. Our results allow us to establish some connections to related results and conjectures on the sinh-Gordon theory in continuous spacetime. Our approach also sheds some light on the relations between massive and massless models (in particular, the sinh-Gordon and Liouville theories) from the point of view of their integrable structures.
Effects of Thyroid Peroxidase Antibody on Maternal and Neonatal Outcomes in Pregnant Women in an Iodine-Sufficient Area in China

Purposes. To evaluate the effects of thyroid peroxidase antibodies (TPOAb) on maternal and neonatal adverse outcomes in pregnant women. Methods. 208 pregnant women at 24–28 weeks were divided into two groups, TPOAb-positive and TPOAb-negative groups. Thyroid function and TPOAb were determined in all subjects until 12 months postpartum. Levothyroxine was supplemented to maintain euthyroid with periodical checking of thyroid functions. The prevalence of postpartum thyroiditis (PPT), placenta previa, placental abruption, premature rupture of membrane, postpartum haemorrhage, polyhydramnios, oligohydramnios, preterm birth, low birth weight, congenital hypothyroidism, and neonatal diseases were observed in two groups. Results. Of all women, 11.54% had a PPT. The prevalence of PPT was significantly higher in TPOAb-positive than TPOAb-negative group (42.31% versus 7.14%, P < 0.001), with 45.46% and 53.85% of PPT happening at 6 weeks postpartum in TPOAb-positive and TPOAb-negative groups. The incidence of polyhydramnios was significantly higher in TPOAb-positive than TPOAb-negative group (15.38% versus 2.74%, P = 0.02). Conclusion. Pregnant women with TPOAb-positive had increased risk of PPT, predominantly happening at 6 weeks postpartum. TPOAb was associated with increased incidence of polyhydramnios and the underlying mechanisms required further investigation. Earlier screening of thyroid function during pregnancy and postpartum was warranted in our region.
Structural neuroanatomy of face processing in frontotemporal lobar degeneration

Impairments of face processing occur frequently in frontotemporal lobar degeneration (FTLD) but the neuroanatomical basis for these deficits has seldom been studied systematically. Here a prospective voxel based morphometry study is described addressing the neuroanatomy of two key dimensions of face processing—face identification and facial emotion recognition—in a single cohort of 32 patients with FTLD (19 with frontal variant and 13 with temporal variant FTLD). For the FTLD group as a whole, face identification was positively associated with grey matter in the right anterior fusiform gyrus while recognition of angry expressions was positively associated with grey matter in the bilateral insula cortex. FTLD provides a perspective on the neuroanatomy of face processing that is complementary to focal lesion and normal functional imaging work.