Miracle-dz/UniFAR-FTUs huggingface dataset:
Longitudinal analysis of the antibody repertoire of a Zika virus-infected patient revealed dynamic changes in antibody response

ABSTRACT The Zika virus (ZIKV) is a mosquito-borne flavivirus that causes neonatal abnormalities and other disorders. Antibodies to the ZIKV envelope (E) protein can block infection. In this study, next-generation sequencing (NGS) of immunoglobulin heavy chain (IgH) mRNA transcripts was combined with single-cell PCR cloning of E-binding monoclonal antibodies for analysing antibody response in a patient from the early stages of infection to more than one year after the clearance of the virus. The patient's IgH repertoire 14 and 64 days after symptom onset showed dramatic dominant clonal expansion but low clonal diversity. IgH repertoire 6 months after disease-free status had few dominant clones but increased diversity. E-binding antibodies appeared abundantly in the repertoire during the early stages of infection but quickly declined after clearance of the virus. Certain VH genes such as VH5-10-1 and VH4-39 appeared to be preferentially enlisted for a rapid antibody response to ZIKV infection. Most of these antibodies require relatively few somatic hypermutations to acquire the ability to bind to the E protein, pointing to a possible mechanism for rapid defence against ZIKV infection. This study provides a unique and holistic view of the dynamic changes and characteristics of the antibody response to ZIKV infection.
PCAF, ISX, and BRD4: a maleficent alliance serving lung cancer malignancy

Tumor progression and malignancy are frequently associated with aberrant activation of epithelial–mesenchymal transition (EMT), which orchestrates dramatic changes in gene expression, involving genetic and epigenetic regulation. External stimuli generated by tumor–stroma interactions need to be adequately processed to specifically alter expression of key EMT transcription factors and associated genes. In this issue of EMBO Reports, Wang and colleagues demonstrate how epigenetic modifiers are utilized to induce EMT and metastasis [1]. Acetylation of intestine‐specific homeobox (ISX) by p300/CBP‐associated factor (PCAF) induces a cascade that results in Snail and Twist activation through histone modifications by a novel complex of PCAF, ISX, and bromodomain‐containing protein 4 (BRD4). These findings open novel possibilities of therapeutic intervention to inhibit EMT and metastasis in lung cancer.
The Effect of Cigarette Packaging and Illness Sensitivity on Attention to Graphic Health Warnings: A Controlled Study.

BACKGROUND The social and healthcare costs of smoking are immense. To reduce these costs, several tobacco control policies have been introduced (e.g., graphic health warnings (GHWs) on cigarette packs). Previous research has found plain packaging (a homogenized form of packaging), in comparison to branded packaging, effectively increases attention to GHWs using UK packaging prototypes. Past studies have also found that illness sensitivity (IS) protects against health-impairing behaviours. Building on this evidence, the goal of the current study was to assess the effect of packaging type (plain versus branded), IS level, and their interaction on attention to GHWs on cigarette packages using proposed Canadian prototypes. METHOD We assessed the dwell time and fixations on the GHW component of 40 cigarette pack stimuli (20 branded; 20 plain). Stimuli were presented in random order to 50 smokers (60.8% male; mean age= 33.1; 92.2% daily smokers) using the EyeLink 1000 system. Participants were divided into low IS (n= 25) and high IS (n= 25) groups based on scores on the Illness Sensitivity Index. RESULTS Overall, plain packaging relative to branded packaging increased fixations (but not dwell time) on GHWs. Moreover, low IS (but not high IS) smokers showed more fixations to GHWs on plain versus branded packages. CONCLUSIONS These findings demonstrate that plain packaging is a promising intervention for daily smokers, particularly those low in IS, and contributes evidence in support of impending implementation of plain packaging in Canada.
Blockade of high mobility group box 1 involved in the protective of curcumin on myocardial injury in diabetes in vivo and in vitro

The aim of this study was to investigate the protective effect of curcumin (Cu) on myocardial injury in diabetic cardiomyopathy in vivo and in vitro. Serum and myocardial glucose, inflammatory cytokines, and cardiac function indexes of type 2 diabetes db/db mice were measured. The mechanism of action was confirmed by immunohistochemistry, immunofluorescence, and western blot experiments. H9C2 cells stimulated by glucose (Glu) were used as cell models in vitro. Cu treatment improved glucose tolerance and lipid profile and reduced the production of inflammatory cytokines. In addition, Cu decreased the serum biochemical indexes. Cu inhibits high mobility group box 1 (HMGB1) signaling pathway in db/db mice. Cu treatment also significantly inhibited pa‐induced inflammatory signaling pathway in H9C2 cells. HMGB1 inhibitor or HMGB1 knockdown counteracted the effects of Cu on diabetic cardiomyopathy. The present study showed the protective effects of Cu on myocardial injury via HMGB1 pathway in diabetic cardiomyopathy in vivo and in vitro.
The Impact of Facebook on Jordanian Consumers’ Decision Process in the Hotel Selection

This study aims to explore the impact of Facebook on consumers’ decision process in the hotel selection. The research population is customers who use social media; as a sample of 610 was chosen randomly from Jordanian customers in the hotel industry. The study used quantitative methodology to examine the research questions, and we analyzed quantitatively using structural equation modeling-partial least squares (SEM-PLS) method. This study reveals the importance of social media platform and its influence on customers’ decision process in the hotel selection. The finding revealed that consumers have been exposed to digital information through Facebook; this information has influenced consumers’ decision. The study found that Facebook has the greatest influence on customers’ decision process. In addition, the finding revealed that the way customers search and book hotel have changed. The results represent novel findings that hold important implications and recommendations for future social media marketing research and practice.
Activation and Spreading Sequence for Spreading Activation Policy Selection Method in Transfer Reinforcement Learning

This paper proposes an automatic policy selection method using spreading activation theory based on psychological theory for transfer learning in reinforcement learning. Intel-ligent robot systems have recently been studied for practical applications such as home robot, communication robot, and warehouse robot. Learning algorithms are key to building useful robot systems important. For example, a robot can explore for optimal policy with trial and error using reinforcement learning. Moreover, transfer learning enables reuse of prior policy and is effective for environment adaptability. However, humans de-termine applicable methods in transfer learning. Policy selection method has been proposed for transfer learning in reinforcement learning using spreading activation model proposed in cognitive psychology. In this paper, novel activation function and spreading sequence is discussed for spreading policy selection method. Fur-ther computer simulations are used to examine the effectiveness of the proposed method for automatic policy selection in simplified shortest-path problem.
Primary productivity and phytoplankton size and biomass in the

1 2 Vivian Montecino & Gemita Pizarro Facultad de Ciencias. Universidad de Chile E-mail: vivianmontecino@uchile.cl Instituto de Fomento Pesquero E-mail: gpizarro@ifop.cl Progress in the oceanographic knowledge of Chilean interior waters, from Puerto Montt to Cape Horn. N. Silva & S. Palma (eds.). 2008 Comité Oceanográfico Nacional Pontificia Universidad Católica de Valparaíso, Valparaíso, pp. 93-97.
THE EM ALGORITHM FOR STANDARD STOCHASTIC FRONTIER MODELS

The Expectation-Maximization (EM) algorithm is developed for the stochastic frontier models most used in practice with cross-section data. The resulting algorithms can be easily programmed into a computer and are shown to be worthy alternatives to general-purpose optimization routines currently used. The algorithms for the half normal and the exponential models have closed-form expressions whereas those for the truncated normal and gamma models will require the numerical solution of a nonlinear equation. Implementations of the EM algorithm either as a stand-alone routine or in accelerated form and also combined with Newton-like methods are discussed. We provide illustrations, along with R tools, for cost and production frontiers.
Named Entity Sentiment Classifications using Peripheral Words and Dependencies in Online Discussions

The sentiment classification method of posts and sentences have been proposed in several online discussion forums. However, large-town online meetings require new methods to determine the sentiment polarity of each keyword because several topics are discussed simultaneously. We propose a sentimental classification method for each named entity in various online discussion forums. We employ machine learning for the web discussion corpus and sentiment lexicon that we have developed. We define three features that focus on the peripheral words of the named entities and on the modification structures. Our experimental results exhibit that the features of the peripheral and modification structure improve the f1-score as compared with the baseline of the f1-score.
Thünen-Series of Applied Economic Theory

In a framework of a n-union/n-firm oligopoly, this paper analyzes the incentive for firms and unions to adopt efficient bargaining, i.e. negotiating over wages together with employment. The analysis is conducted for the case of autarchy and for an integrated product market. Firm profits, union utility and industry rents are compared under two different bargaining regimes – the right-to-manage model and the efficient bargaining model. For centralized negotiations, it is shown that under autarchy bargaining over wages and emplyment does not necessarliy imply efficiency as total industry rents decrease. In the case of an integrated product market, however, adopting efficient bargaining raises rents if the market share of the domestic industry is relatively small. JEL classification: J50, L13
Öğrencilerin Matematiksel Düşünmelerine Yönelik Öğretmenlerin

The purpose of the study is to investigate the noticing levels of six teachers about students’ mathematical thinking. The four of teachers participated in the lesson study professional development process, and the rest did not participate in the process of lesson study. Nearly two months after the lesson study implementations were completed with the participant teachers, these six teachers were asked to write a report to evaluate the teaching process after they would watch the video recorded lessons. The data collection tools of this case study were the video recordings which the participants watched, participants’ evaluation reports and unstructured interviews. The theoretical framework developed by van Es (2011) was used to interpret the effects of lesson study process on the teachers’ noticing levels towards their students’ mathematical thinking. The findings showed that the noticing levels of the teachers, who participated in the lesson study process, appeared to be higher than the non-participant teachers. The findings also showed that lesson study professional development process increased teachers’ noticing levels on students’ mathematical thinking.
Using Simple Simulated Annealing With Generic Transformation to Solve Capacitated Location Routing Problems

The paper introduces simplified Simulated Annealing algorithm with a generic transformation for solving capacitated location routing problems. Data used by Simulated Annealing such as depots, customers and vehicles are encoded into a circular list internally represented as an array. Proposed generic transformation consists of two successive inversions applied to a part of the list. Simulated Annealing uses an exponential cooling schedule controlled by parameter fitted according to the size of test instances. The algorithm was tested on three standard sets with a total of 79 test instances. Proposed algorithm achieved an average gap of 0.2% from the best-known solutions across all test instances. Test results showed that the algorithm is stable and with a performance comparable to other well-known algorithms. Due to the simplicity of the internal structure and transformations, it can be easily modified for solving related location routing problems.
Does Being Transported by Emergency Medical Services Improve Compliance with the Surviving Sepsis Bundle and Mortality Rate? A Retrospective Cohort Study

Background: This study aimed to investigate the relationship between patients with severe sepsis or septic shock being transported to the Emergency Department (ED) by Emergency Medical Services (EMS) and the compliance with the 3-h sepsis resuscitation bundle [Surviving Sepsis Campaign (SSC)], and to compare the management and laboratory results of patients transported by EMS or non-EMS transport. Methods: A retrospective cohort study was conducted using data from a quality-improvement project at King Abdulaziz Medical City in Riyadh. The data for patients who presented to ED with sepsis (severe sepsis or septic shock) was categorized as being transported with EMS or non-EMS. The two groups were compared in terms of compliance with the SSC bundle and 30-day mortality. Results: In a sample of 436 patients with severe sepsis or septic shock presented at the ED during the study period, EMS transported almost one-third of the patients (134, 31%) and 302 patients (69%) used non-EMS transport. For the EMS group, adherence to intravenous fluid was 91.4% compared with 87% for the non-EMS group (p = 0.19), antibiotics (EMS 50.7% vs non-EMS 52%, p = 0.81), blood cultures before antibiotics (EMS 53% vs non-EMS 47.4%, p = 0.21), and measuring lactate levels (EMS 73.1% vs non-EMS 57%, p = <0.01). The mortality rate was 48.5% for the EMS group and 54% for the non-EMS group, which was not statistically significant. Conclusion: Whether transported with or without EMS did not result in a statistically significant difference in patients presenting with sepsis, in terms of the adherence to the SSC bundle elements or the 30-day hospital mortality rate. The only statistically significant difference was the time to lactate measurement.
miRNA applications for engineering abiotic stress tolerance in plants

MicroRNAs (miRNAs) are endogenous, tiny RNA molecules that sit at the heart of regulating gene expression in numerous developmental and signaling pathways. Recent investigations have revealed that abiotic stresses encourage non-typical expression patterns of several miRNAs, accordingly proposing miRNAs as potent and novel targets for enhancement plant tolerance against abiotic factors. The stress driven miRNA-response is dependent on types of miRNA, stress, tissues or organs as well as plant genotype. The stress responsive miRNAs act either as negative-regulatory entities by down regulating negative regulators for stress tolerance or as positive-regulatory entities approving amassing of positive regulators. The current scenario on miRNA-based research vastly focus on the identification and target prediction/validation of stress-responsive miRNAs along with their functional expression under stress conditions. It has predominately been accomplished with the advent of high throughput sequencing technologies coupled with online databases and tools. However, there is an urge of epigenomics, functional characterization, and expression-pattern studies to illuminate the communal regulatory pathways by miRNAs that trigger abiotic stress tolerance in major crops. The short tandem target mimic (STTM) and genome editing technologies can be exploited for efficient utilization of miRNAs for traits improvement. Beside the classical pathways, non canonical pathways and novel loci of miRNAs origin and their possible role in abiotic stress response need to be deciphered for their effective utilization. Through this review, we are presenting herein a current understanding about plant miRNAs, their biogenesis and involvement in stress-responses and modulation, various tools and databases used for prediction/identification of plant miRNAs and their targets. A perspective analysis on use of miRNAs as potent targets to engineer abiotic stress tolerance in plants has been presented with emphasis on recent developments, challenges and future perspectives.
Influence of the Amount of Silane Coupling Agent on the Dielectric Properties of AlN/Polypropylene Nanocomposites

In this work, four loading amounts of trimethoxy (octyl) silane (C8-M) were used in preparing C8-M treated AlN/polypropylene nanocomposites. Although the thermal gravimetric analysis shows a significant difference in the amount of C8-M grafted on the AlN surface, and a saturation point can be reached as the amount of C8-M added increases, the AC breakdown strengths of composites present virtually identical results. Similar behaviours can be observed in the real and imaginary permittivity from 0.01 Hz to 100 kHz, although the upturns of the imaginary permittivity at low frequency are observed increasing with the amount of C8-M used. Seemingly contradictory to a previously reported work on epoxy with nanosilica, AlN/polypropylene is largely unaffected by the amount of the silane coupling agent applied during the surface treatment.
The “New” Cultural Cleavage in Western Europe: A Coalescence of Religious and Secular Value Divides?

Abstract Moral traditionalism versus progressiveness and secular authoritarianism versus libertarianism are often understood as central to the same “new” cultural cleavage in politics. Despite the often-found sizable correlations between these two cultural value divides, the present paper theorizes that this relationship is not a cross-contextual constant, but rather a specific feature of secularized contexts where moral traditionalism is relatively marginal. We test this theory by means of a two-stage statistical analysis of the data from the four waves of the European Values Study (1981–2008) for 17 Western European countries. Our findings confirm that the two value divides are most strongly connected in the most secularized contexts because the latter are least morally traditionalist. While the two cultural divides hence tend to be distinct in more religious Western-European countries, they tend to coalesce into one single “new” cultural divide in more secular ones.
Novel Treatment Options for Two Forms of Reflex Seizures

Epileptic events that are caused by external stimuli, internal processes or both are known as reflex epilepsies. The external stimuli can be simple or complex. The intrinsic stimuli can be elementary or related to higher mental functions. Many stimuli have been described since 1850. We report 2 cases of reflex seizures with triggers that have been rarely reported.
Histological Comparison of Bovine and Human Aortic Valves

MN Islam1, MZI Khan1, SR Khan2, MA Haque3, MA Hussain4 1Department of Anatomy and Histology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh 2Bagladesh Heart Research Association, Dhaka, Bangladesh 3Department of Surgery and Obstetrics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh 4Department of Forensic Medicine, Mymensingh Medical College, Mymensingh 2200, Bangladesh ABSTRACT The clinical use of tissue valves of porcine natural aortic valve and bovine paricardial origin in valvular replacement in human emphasize knowing the histological similarities or dissimilarities of bovine heart valve with that of human. We compared the histological features of the aortic valve of bovine and human heart. A total of 10 heart specimens taking 5 aortic valves from the adult cattle’s of native breed (Bos indicus) and 5 aortic valves of adult human heart of both sexes were used in this experiment. The aortic valves of the collected bovine and human heart were harvested by dissection. The valves were fixed in 10% formalin and embedded with cotton plug just after harvesting and than the unwanted tissues of valves were trimmed out for histological studies. In the presented study, it was found that the cusps of the aortic valve of bovine and human heart composed of three main of tissue layers. From the aortic to the ventricular aspects, these layers were the fibrosa, the spongiosa and the ventricularis. The collagen bundles of the fibrosa were oriented parallel to the free edge of the cusps. The loose connective tissues were found in between the fibrosa and ventricularis. The ventricularis contained collagen fibres with enriched elastic fibers. Both the fibrosal and ventricular surface of the cusps of the aortic valve were lined by endothelium. The arrangement of the lining epithelium of the cusps was perpendicular to the blood flow of the left ventricular outflow tract of bovine and human heart. The blood vessels or capillaries were not found on the cusps of the aortic valve of both bovine and human heart. The thickness of the cusp of aortic valve of bovine heart was 193 μm and in the human heart was 145 μm. The findings of the present study indicated the similarities of bovine and human aortic valves.
A Neural Network Component for Knowledge-Based Semantic Representations of Text

This paper presents Semantic Neural Networks (SNNs), a knowledge-aware component based on deep learning. SNNs can be trained to encode explicit semantic knowledge from an arbitrary knowledge base, and can subsequently be combined with other deep learning architectures. At prediction time, SNNs provide a semantic encoding extracted from the input data, which can be exploited by other neural network components to build extended representation models that can face alternative problems. The SNN architecture is defined in terms of the concepts and relations present in a knowledge base. Based on this architecture, a training procedure is developed. Finally, an experimental setup is presented to illustrate the behaviour and performance of a SNN for a specific NLP problem, in this case, opinion mining for the classification of movie reviews.
CARBONO LÁBIL COMO UN INDICADOR DE CAMBIOS EN DOS SUELOS BAJO DIFERENTES USOS

The soil organic matter is an essential component in the reserve and carbon cycle. The carbon in the soil is incorporated to the continuous contribution of organic material in natural conditions, however, the land´s practice generates the organic carbon decrease while sustainable practices of land use contributes to its capture and accumulation. A frequent practice for evaluating changes of the organic matter quality under different managements is the determination of labile fractions of soil organic carbon. The content of Labile Soil Organic Carbon (COSL) was compared on the soil layer 0-20 cm of a soil Ferralitico Rojo Tipico from Ciego de Avila with a Ferritico Rojo Oscuro from Camaguey were undergone to three uses of the soil: Without exploitation, diversified and intensive crop cultivation. COSL extraction was performed by oxidation with potassium permanganate (0,02 mg L-1) and the determination was made by colorimetry. Independently the use, the content of COSL is higher on the Ferralitic soil than on the Ferritico one but in both the contents decreased in the areas under intensive cultivation in relation to the ones without any exploitation. In addition to this, in the diversified systems, based on Lands Sustainable Management, this indicator tends to recover. These results suggest the inclusion of the determination of the COSL, as an alert indicator on how the soil´s uses affect the quality of them.