Seismic Stability of Hillslopes in Greater Cincinnati Area

Slope stability problems involving colluvia on shale bedrock are common in the Greater Cincinnati Area. The behavior of these hillslopes during earthquakes is, however, not known. This gives cause to speculation whether they are vulnerable to earthquake vibrations. In order to verify the response of these slopes to earthquake induced ground motions, representative composite clay shale samples obtained from a typical colluvial hillside in Cincinnati were tested in a cyclic direct shear apparatus which was attached to a load cell from the MTS piston actuator. The samples were initially consolidated under a selected normal pressure and then sheared until residual strength was developed. Pulsating strains were then superimposed simulating seismic excitation and the response was recorded by digital equipment. The results from the laboratory experiments were used in the analysis of infinite colluvial slopes for a wide variety of assumed conditions

MHC class II deficiency: Report of a novel mutation and special review

The MHC II deficiency is a rare autosomal recessive primary immunodeficiency syndrome with increased susceptibility to respiratory and gastrointestinal infections, failure to thrive and early mortality. This syndrome is caused by mutations in transcription regulators of the MHC II gene and results in development of blind lymphocytes due to the lack of indicatory MHC II molecules. Despite homogeneity of clinical manifestations of patients with MHC II deficiency, the genetic defects underlying this disease are heterogeneous. Herein, we report an Iranian patient with MHC II deficiency harbouring a novel mutation in RFXANK and novel misleading clinical features. He had ataxic gait and dysarthria from 30 months of age. Epidemiology, clinical and immunological features, therapeutic options and prognosis of patients with MHC II are reviewed in this paper. © 2017 SEICAP. Published by Elsevier Espana, ˜ S.L.U. All rights reserved

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback

In this paper, we study the problem of safe online learning to re-rank, where user feedback is used to improve the quality of displayed lists. Learning to rank has traditionally been studied in two settings. In the offline setting, rankers are typically learned from relevance labels created by judges. This approach has generally become standard in industrial applications of ranking, such as search. However, this approach lacks exploration and thus is limited by the information content of the offline training data. In the online setting, an algorithm can experiment with lists and learn from feedback on them in a sequential fashion. Bandit algorithms are well-suited for this setting but they tend to learn user preferences from scratch, which results in a high initial cost of exploration. This poses an additional challenge of safe exploration in ranked lists. We propose BubbleRank, a bandit algorithm for safe re-ranking that combines the strengths of both the offline and online settings. The algorithm starts with an initial base list and improves it online by gradually exchanging higher-ranked less attractive items for lower-ranked more attractive items. We prove an upper bound on the n-step regret of BubbleRank that degrades gracefully with the quality of the initial base list. Our theoretical findings are supported by extensive experiments on a large-scale real-world click dataset

Evaluating functional capacity, and mortality effects in the presence of atrial electromechanical conduction delay in patients with systolic heart failure

Objective: Atrial functions are relatively suppressed in heart failure (HF). We aimed to investigate the associations of intra- and inter-atrial electromechanical conduction delay (EMCD) with functional class and mortality over a 12-month follow-up period. Methods: The prospective study included 65 patients with systolic HF and 65 healthy subjects with normal sinus rhythm. Left ventricular (LV) systolic functions and left atrial (LA) dimensions and volumes were evaluated by transthoracic echocardiography. Tissue Doppler imaging (TDI) signals at the lateral border of the mitral annulus (lateral PA’), septal mitral annulus (septal PA’), and tricuspid annulus (tricuspid PA’) were measured. Intra- and inter-atrial EMCD were calculated. Results: Mitral inflow velocities were studied using pulsed-wave Doppler after placing the sample volume at the leaflets’ tips. The peak early (E wave) and late (A wave) velocities were measured. The septal annular E/E’ ratio was relatively higher and lateral, septal, and right ventricular S, E’, and A’ waves were significantly lower in the HF group than in the control group (12.49±6.03 - 7.16±1.75, pE/E’ <0.0001). Intra-atrial EMCD was detected as 117.5 ms and inter-atrial EMCD as 127.5 ms in patients with prolonged atrial EMCD. A significant increase was found in prolonged intra- and inter-atrial EMCD according to functional capacity increase (p=0.012 and p=0.031, respectively). The incidence of mortality was significantly higher in patients with prolonged atrial EMCD (p=0.025), and 5 patients in the HF group died during the study over the 12-month follow-up period. Conclusions: In this study, we found a relationship between prolonged atrial conduction time and increased functional class and mortality in patients with systolic HF. © 2016 by Turkish Society of Cardiology

Evaluation of thyroid hormones in patients with lead poisoning

Background: Each toxic agent results in unique presentations, depending on what neurophysiological changes occur following exposure. Scientific understanding of lead toxicity in the organ systems and at low levels of exposure continues to evolve. However, effects of lead poisoning on the thyroid gland function are controversial. In this descriptive study, changes in thyroid hormones in patients with lead poisoning were compared with patients with opioid addiction and healthy individual who were matched for age and sex. Methods: In this descriptive study, which was conducted from March 2016 to February 2017 in Loghman Hakim Hospital in Tehran, ninety patients were evaluated using convenient sampling method for lead and thyroid hormones levels. The levels of lead and thyroid hormones were evaluated using standard laboratory method, in thirty male patients with lead poisoning, thirty male patients with opioid addiction referring to addiction treatment center and thirty healthy male referring to a blood donation center who were matcAhed for age. Thyroid function parameters in patients with lead toxicity were compared with those of control groups. Results: The lead level in the lead toxicity group was 57.5±23.5 µg/dl, in the first control group with opium addiction 7.8±3.8 µg/dl and in the healthy male referring to a blood donation center, 5.9±9 µg/dl. Thyroid stimulating hormone (TSH) was significantly lower in patients with lead poisoning (0.2±0.01 Milli-International Units Per Liter (mIU/L) than in the patients with opioid addiction (2.4±1/05 mIU/L) and healthy male referring to a blood donation center (2.3±0.01 mIU/L) (P= 0.04), and thyroxine hormone (T4) was significantly higher in patients with lead poisoning (17.8±2.6 µg/dl) than in the patients with opioid addiction (8.8±1/9 µg/dl) and healthy male referring to a blood donation center (7.4±3.5 µg/dl) (P= 0.02). Conclusion: Lead toxicity has an effect on thyroid function and it reduces thyroid stimulating hormone and increases thyroxin levels. Clinicians should be aware of the potential hazardous effects of lead on the thyroid and mechanisms through which lead causes these effects on thyroid function need to be elucidated. Keywords: lead poisoning, opium, thyroid function test

Novel VIPAS39 mutation in a syndromic patient with arthrogryposis, renal tubular dysfunction and intrahepatic cholestasis

ARC syndrome is a rare autosomal recessive disease, characterized by arthrogryposis, renal tubular dysfunction and cholestasis. Herein a 2.5 month old infant with dysmorphic features, including small anterior fontanel, low set ears, beaked nose and high arched palate is presented who was referred because of icterus. He also suffered from some additional anomalies, including unilateral choanal atresia, club foot, and bilateral developmental dislocation of hip, while further studies showed renal tubular acidosis and hearing impairment in addition to cholestasis. Genetic studies showed a homozygous mutation in the VIPAS39 gene. Making the definite diagnosis of the syndrome is important, while increased risk of mutation in other siblings highlights the importance of prenatal diagnosis

Non-variant specific antibody responses to the C-terminal region of merozoite surface protein-1 of Plasmodium falciparum (PfMSP-119) in Iranians exposed to unstable malaria transmission

<p>Abstract</p> <p>Background</p> <p>The C-terminal region of <it>Plasmodium falciparum </it>merozoite surface protein-1 (PfMSP-1₁₉) is a leading malaria vaccine candidate antigen. However, the existence of different variants of this antigen can limit efficacy of the vaccine development based on this protein. Therefore, in this study, the main objective was to define the frequency of PfMSP-1₁₉haplotypes in malaria hypoendemic region of Iran and also to analyse cross-reactive and/or variant-specific antibody responses to four PfMSP-1₁₉variant forms.</p> <p>Methods</p> <p>The PfMSP-1₁₉was genotyped in 50 infected subjects with <it>P. falciparum </it>collected during 2006-2008. Four GST-PfMSP-1₁₉variants (E/TSR/L, E/TSG/L, E/KNG/F and Q/KNG/L) were produced in <it>Escherichia coli </it>and naturally occurring IgG antibody to these proteins was evaluated in malaria patients' sera (n = 50) using ELISA. To determine the cross-reactivity of antibodies against each PfMSP-1₁₉variant in <it>P. falciparum-</it>infected human sera, an antibody depletion assay was performed in eleven corresponding patients' sera.</p> <p>Results</p> <p>Sequence data of the PfMSP-1₁₉revealed five variant forms in which the haplotypes Q/KNG/L and Q/KNG/F were predominant types and the second most frequent haplotype was E/KNG/F. In addition, the prevalence of IgG antibodies to all four PfMSP-1₁₉variant forms was equal and high (84%) among the studied patients' sera. Immunodepletion results showed that in Iranian malaria patients, Q/KNG/L variant could induce not only cross-reactive antibody responses to other PfMSP-1₁₉variants, but also could induce some specific antibodies that are not able to recognize the E/TSG/L or E/TSR/L variant forms.</p> <p>Conclusion</p> <p>The present findings demonstrated the presence of non-variant specific antibodies to PfMSP-1₁₉in Iranian falciparum malaria patients. This data suggests that polymorphism in PfMSP-1₁₉is less important and one variant of this antigen, particularly Q/KNG/L, may be sufficient to be included in PfMSP-1₁₉-based vaccine.</p

Curation and expansion of Human Phenotype Ontology for defined groups of inborn errors of immunity.

BACKGROUND: Accurate, detailed, and standardized phenotypic descriptions are essential to support diagnostic interpretation of genetic variants and to discover new diseases. The Human Phenotype Ontology (HPO), extensively used in rare disease research, provides a rich collection of vocabulary with standardized phenotypic descriptions in a hierarchical structure. However, to date, the use of HPO has not yet been widely implemented in the field of inborn errors of immunity (IEIs), mainly due to a lack of comprehensive IEI-related terms. OBJECTIVES: We sought to systematically review available terms in HPO for the depiction of IEIs, to expand HPO, yielding more comprehensive sets of terms, and to reannotate IEIs with HPO terms to provide accurate, standardized phenotypic descriptions. METHODS: We initiated a collaboration involving expert clinicians, geneticists, researchers working on IEIs, and bioinformaticians. Multiple branches of the HPO tree were restructured and extended on the basis of expert review. Our ontology-guided machine learning coupled with a 2-tier expert review was applied to reannotate defined subgroups of IEIs. RESULTS: We revised and expanded 4 main branches of the HPO tree. Here, we reannotated 73 diseases from 4 International Union of Immunological Societies-defined IEI disease subgroups with HPO terms. We achieved a 4.7-fold increase in the number of phenotypic terms per disease. Given the new HPO annotations, we demonstrated improved ability to computationally match selected IEI cases to their known diagnosis, and improved phenotype-driven disease classification. CONCLUSIONS: Our targeted expansion and reannotation presents enhanced precision of disease annotation, will enable superior HPO-based IEI characterization, and hence benefit both IEI diagnostic and research activities

Towards a Physarum learning chip

Networks of protoplasmic tubes of organism Physarum polycehpalum are macro-scale structures which optimally span multiple food sources to avoid repellents yet maximize coverage of attractants. When data are presented by configurations of attractants and behaviour of the slime mould is tuned by a range of repellents, the organism preforms computation. It maps given data configuration into a protoplasmic network. To discover physical means of programming the slime mould computers we explore conductivity of the protoplasmic tubes; proposing that the network connectivity of protoplasmic tubes shows pathway-dependent plasticity. To demonstrate this we encourage the slime mould to span a grid of electrodes and apply AC stimuli to the network. Learning and weighted connections within a grid of electrodes is produced using negative and positive voltage stimulation of the network at desired nodes; low frequency (10 Hz) sinusoidal (0.5 V peak-to-peak) voltage increases connectivity between stimulated electrodes while decreasing connectivity elsewhere, high frequency (1000 Hz) sinusoidal (2.5 V peak-to-peak) voltage stimulation decreases network connectivity between stimulated electrodes. We corroborate in a particle model. This phenomenon may be used for computation in the same way that neural networks process information and has the potential to shed light on the dynamics of learning and information processing in non-neural metazoan somatic cell networks