Miracle-dz/UniFAR-FTUs huggingface dataset:
Outcome of children prenatally exposed to cocaine and other drugs: a path analysis of three-year data.

OBJECTIVE Cocaine and other drug use during pregnancy continues to be a major health concern. With increasing use of cocaine by women of childbearing age, large numbers of children have been exposed to this and other substances in utero. Currently, very little information regarding the long-term developmental implications of cocaine/polydrug exposure exists. The purpose of this study is to present 3-year cognitive and behavioral data on infants exposed to cocaine and other drugs during gestation. METHODS The subjects and controls in this study are currently enrolled in a longitudinal, prospective evaluation. At 3 years of age, 92 children exposed to cocaine and other drugs, 25 children exposed to multiple drugs but no cocaine, and 45 drug-free controls were evaluated using the Stanford-Binet Intelligence Scale (fourth edition), the Child Behavioral Checklist, the Home Screening Questionnaire, and a Summative Perseverance Scale. The data were analyzed using an a priori model and path analytic procedures. RESULTS The results indicate that prenatal drug exposure has significant direct and indirect effects on 3-year cognitive functioning as measured on the Stanford-Binet scale. The fit indices indicated that overall, the hypothesized model accurately reflected the actual data. CONCLUSIONS The findings of the study provide specific evidence elucidating the nature of long-term developmental risk associated with intrauterine drug exposure. Drug exposure was found to have a direct effect on cognitive ability at 3 years of age. However, the effects of drug exposure are also mediated indirectly through head circumference, home environment, and level of perseverance at a task. Future explorations should continue to utilize path analysis techniques to further clarify the ramifications of drug exposure on the development of the growing child.
Towards an Aspect Oriented Approach for the Security Hardening of Code

In this paper, we present an approach revolving around aspect-oriented software development (AOSD) for the systematic security hardening of source code. It provides an abstraction over the actions required to improve the security of the program. Security architects can specify high level security hardening plans that leverages a priori defined security hardening patterns. These patterns describe the steps and actions required for hardening, including detailed information on how and where to inject the security code. We show the viability and relevance of our approach by: (1) Elaborating security hardening patterns and plans to common security hardening practices, (2) realizing these patterns by implementing them into aspect oriented languages, (3) applying them to secure applications, (4) testing the hardened applications.
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

We present a method that learns word embedding for Twitter sentiment classification in this paper. Most existing algorithms for learning continuous word representations typically only model the syntactic context of words but ignore the sentiment of text. This is problematic for sentiment analysis as they usually map words with similar syntactic context but opposite sentiment polarity, such as good and bad, to neighboring word vectors. We address this issue by learning sentimentspecific word embedding (SSWE), which encodes sentiment information in the continuous representation of words. Specifically, we develop three neural networks to effectively incorporate the supervision from sentiment polarity of text (e.g. sentences or tweets) in their loss functions. To obtain large scale training corpora, we learn the sentiment-specific word embedding from massive distant-supervised tweets collected by positive and negative emoticons. Experiments on applying SSWE to a benchmark Twitter sentiment classification dataset in SemEval 2013 show that (1) the SSWE feature performs comparably with hand-crafted features in the top-performed system; (2) the performance is further improved by concatenating SSWE with existing feature set.
applied sciences

: In this paper, a novel bat algorithm based on the quantum computing concept and pyramid neural network (PNN) is presented and applied to the electromagnetic motor optimization problem. Due to the problems of high loss, high temperature rise and threatening motor safety, it is necessary to optimize the design of high-speed permanent magnet synchronous motor (HPMSM) structure. In order to use less training data and avoid the problem of large computational costs due to repeated ﬁnite element simulation in the electromagnetic structure design, this paper adopted a performance-driven method to establish the PMSM model. This model could effectively reduce the dimensions of the parameter space and establish an effective high-quality model within a wide range of parameters. For the purpose of obtaining a reliable proxy model with less training data, this paper adopted a pyramid-shaped neural network, which could reduce the risk of overtraining and improve the utilization of speciﬁc problem knowledge embedded in the training data set. The quantum bat algorithm (QBA) was used to optimize the structure of the PMSM. Compared with the classical GA and PSO algorithms, the QBA has the characteristics of a rapid convergence speed, simple structure, strong searching ability and stronger local jumping mechanism. The correctness and effectiveness of the proposed PNN-based QBA method were veriﬁed using simulation analysis and a prototype test.
Artefacts as Categories: A Study of Ceramic Variability in Central India.

The aim of Artefacts as Categories is to ask what we can learn about a society from the variability of the objects it produces. Dr Miller presents a comprehensive analysis of the pottery produced in a single village in central India, drawing together and analysing a whole range of aspects - technology, function, design, symbolism and ideology - that are usually studied separately. Central to the analysis is the contention that human categorisation processes mediate in the production of all artefacts and that artefacts therefore constitute an essential and much-neglected 'silent' source of evidence which complements the abundant studies of linguistic categories. Using the concepts of 'pragmatics', 'framing', and 'ideology', the author points to the insufficiency of many ethnographic accounts of symbolism and underlines the need to consider both the social positioning of the interpreter and the context of the interpretation when looking at artefacts.
The Use of ECMO in HIV/AIDS with Pneumocystis jirovecii Pneumonia: A Case Report and Review of the Literature

There are few reports of extracorporeal membrane oxygenation (ECMO) therapy for respiratory failure because of Pneumocystis jirovecii pneumonia (PJP) in patients with acquired immunodeficiency syndrome (AIDS). None of the cases reported involvement of immune reconstitution inflammatory syndrome (IRIS), a paradoxical clinical worsening after the initiation of antiretroviral therapy (ART) in ART-naïve patients because of an exaggerated systemic inflammation with cell count recovery. We present a patient with newly diagnosed AIDS and PJP pneumonia that progressed to acute respiratory distress syndrome (ARDS) secondary to probable IRIS for which veno-venous ECMO was initiated. He transitioned to conventional ventilator after 57 days of ECMO therapy. However, he did not survive to hospital discharge. Combined with four previously reported cases of ARDS in human immunodeficiency virus patients secondary to PJP treated with ECMO, three of the five patients survived to ECMO decannulation. Extracorporeal membrane oxygenation is considered an accepted modality for adult patients with respiratory and/or cardiac failure refractory to maximal medical therapy. As ECMO becomes increasingly utilized in clinical practice, there is ongoing controversy regarding the appropriate selection of patients. In the past, contraindications to ECMO included immunocompromised states and conditions with known poor prognosis. The cases herein suggest the indications and contraindications warrant further discussion and research.
A Psychobiographical Study of Intuition in a Writer's Life: Paulo Coelho Revisited

Intuition is defined as a form of knowledge which materialises as awareness of thoughts, feelings and physical sensations. It is a key to a deeper understanding and meaningfulness. Intuition, used as a psychological function, supports the transmission and integration of perceptions from unconscious and conscious realms. This study uses a psychobiographical single case study approach to explore intuition across the life span of Paulo Coelho. Methodologically, the study is based on a single case study, using the methodological frame of Dilthey's modern hermeneutics. The author, Paulo Coelho, was chosen as a subject of research, based on the content analysis of first- and third-person perspective documents. Findings show that Paulo Coelho, as one of the most famous and most read contemporary authors in the world, uses his intuitions as a deeper guidance in life, for decision-making and self-development. Intuitive decision-making is described throughout his life and by referring to selected creative works.
Interferon action in triply deficient mice reveals the existence of alternative antiviral pathways.

Antiviral proteins encoded by the interferon (IFN)-stimulated genes provide a front-line defense against viral infections. In particular, PKR, RNase L, and Mx are considered to be the principal proteins through which IFNs mount an antiviral state. To determine whether alternative antiviral pathways exist, RNase L-/- mice and PKR-/- mice were crossed onto an Mx1(-/-) background to generate a strain of triply deficient (TD) mice. After infections with encephalomyocarditis virus, the TD mice died 3-4 days earlier than infected, wild-type mice. However, there was an IFN dose-dependent increase in survival times after encephalomyocarditis virus infections for both the TD and wild-type mice. Mice that were deficient for PKR or RNase L showed intermediate survival times between those of the TD and wild-type mice. Surprisingly, cultured embryonic fibroblasts lacking RNase L, PKR, or both proteins were still able to mount a substantial residual antiviral response against encephalomyocarditis virus or vesicular stomatitis virus after IFN-alpha treatments. These results confirm the antiviral functions of RNase L and PKR in vivo but also provide unequivocal evidence for the existence of novel, innate immune pathways against viruses.
Alpha- and beta-band oscillations subserve different processes in reactive control of limb movements

The capacity to rapidly suppress a behavioral act in response to sudden instruction to stop is a key cognitive function. This function, called reactive control, is tested in experimental settings using the stop signal task, which requires subjects to generate a movement in response to a go signal or suppress it when a stop signal appears. The ability to inhibit this movement fluctuates over time: sometimes, subjects can stop their response, and at other times, they can not. To determine the neural basis of this fluctuation, we recorded local field potentials (LFPs) in the alpha (6–12 Hz) and beta (13–35 Hz) bands from the dorsal premotor cortex of two nonhuman primates that were performing the task. The ability to countermand a movement after a stop signal was predicted by the activity of both bands, each purportedly representing a distinct neural process. The beta band represents the level of movement preparation; higher beta power corresponds to a lower level of movement preparation, whereas the alpha band supports a proper phasic, reactive inhibitory response: movements are inhibited when alpha band power increases immediately after a stop signal. Our findings support the function of LFP bands in generating the signatures of various neural computations that are multiplexed in the brain.
Reconstructing Time-to-event Data from Published Kaplan–Meier Curves

Hazard ratios can be approximated by data extracted from published Kaplan–Meier curves. Recently, this curve approach has been extended beyond hazard-ratio approximation with the capability of constructing time-to-event data at the individual level. In this article, we introduce a command, ipdfc, to implement the reconstruction method to convert Kaplan–Meier curves to time-to-event data. We give examples to illustrate how to use the command.
Influenza Virus NS1 Protein Counteracts PKR-Mediated Inhibition of Replication

ABSTRACT The availability of an influenza virus NS1 gene knockout virus (delNS1 virus) allowed us to establish the significance of the biological relationship between the influenza virus NS1 protein and double-stranded-RNA-activated protein kinase (PKR) in the life cycle and pathogenicity of influenza virus. Our results show that the lack of functional PKR permits the delNS1 virus to replicate in otherwise nonpermissive hosts, suggesting that the major function of the influenza virus NS1 protein is to counteract or prevent the PKR-mediated antiviral response.
Chemotherapy: Impact on Anti-Müllerian Hormone Levels in Breast Carcinoma.

INTRODUCTION Anti-Mullerian Hormone (AMH) is a glycoprotein of the transforming growth factor-β (TGF-β) family that seems to reflect the continuous non-cyclical growth of small follicles and can be considered an indirect index of the size of the resting primordial follicle pool. Accordingly, AMH represents a marker of Ovarian Reserve (OR) and is particularly useful in demonstrating ovarian tissue damage induced by chemotherapy. AIM To evaluate and compare the levels of AMH in Breast Carcinoma patients before and after chemotherapy with age matched healthy controls and to assess whether AMH as a biochemical marker of the OR might improve prediction of chemotherapy related outcomes in these patients. MATERIALS AND METHODS The present study was conducted in the Department of Biochemistry in collaboration with Department of Radiotherapy, Pt. B.D. Sharma, University of Health Sciences, Rohtak between June 2013 and June 2014. The subjects were divided into two groups. A total of 30 female patients of confirmed diagnosis of breast carcinoma were enrolled in the study group (Group I). The enrolled breast cancer cases were further divided into subgroups (Group-IA=Prechemotherapy & Group-IB= Postchemotherapy). Thirty healthy age matched female volunteers were enrolled as controls (Group II). Serum levels of AMH were determined by the ultrasensitive anti-müllerian hormone/ müllerian inhibiting substance (US AMH/MIS) Enzyme Linked Immuno Sorbent Assay (ELISA). RESULTS There was a significant decrease in serum AMH levels in the both study group-IA and study group-IB as compared to control group-II (p<0.05 and p<0.001 respectively). The prechemotherapy (group-IA) serum AMH levels dropped significantly after chemotherapy (group-IB) (p<0.001). CONCLUSION AMH levels declined after chemotherapy indicates direct chemotherapy induced damage to the granulosa cells and growing follicles, reflecting decrease ovarian reserve and fertility.
FuDoCS

Modern enterprises are increasingly moving towards a service oriented architecture for data sharing by putting their data sources behind services, thereby providing an interoperable way to interact with their data. This class of services is known as DaaS (Data-as-a-Service) services. DaaS Composition is a powerful solution to answer the user's complex queries by combining primitive DaaS services. User preferences are a key aspect that must be considered in the service composition process. A more general and suitable approach to model preferences is based on fuzzy sets theory [3]. Fuzzy sets are very well suited to the interpretation of linguistic terms and constitute a convenient way for a user to express her/his preferences. For example, when expressing preferences about the price of a car, users often employ fuzzy terms like rather cheap, affordable, etc. However as DaaS services proliferate, a large number of candidate compositions that would use different (most likely competing) services may be used to answer the same query. Hence, it is important to set up an effective service composition framework that would identify and retrieve the most relevant services and return the top-k compositions according to the user preferences.
Translating OQL into Monoid Comprehensions : Stuck with Nested Loops?

This work tries to employ the monoid comprehension calculus — which has proven to be an adequate framework to capture the semantics of modern object query la ngu ges featuring a family of collection types like sets, bags, and lists — in a twofold manner: First, serving as a target language for the translation of ODMG OQL queries. We review work done in this field an d also give comprehension calculus equivalents for the recently introduced OQL 1.2 concepts. Second, we use monoid comprehensions as the formalism in whi ch we try to find efficient execution methods working on a rich set of physical structures (includ ing indices, vertical and horizontal decomposition, etc.). The main problem coming up here is the “nested -loop nature” of the calculus expressions. While these loop-based semantics for evaluating comprehen sions at least provide a way for executing OQL queries, their execution is almost always much less effic i nt than alternative physical algorithms of the database engine (e.g. different types of joins). We are able to capture these efficient algorithms in the compr ehension formalism, too. Furthermore, comprehensions are amenable to pattern-matching driven re writing. This paper studies query rewrite optimization using monoid comprehensions and shows that ef ficient implementation plans can be derived in this framework.
A QPTAS for the Base of the Number of Triangulations of a Planar Point Set

The number of triangulations of a planar n point set is known to be $c^n$, where the base $c$ lies between $2.43$ and $30. $ The fastest known algorithm for counting triangulations of a planar n point set runs in $O^*(2^n)$ time. The fastest known arbitrarily close approximation algorithm for the base of the number of triangulations of a planar n point set runs in time subexponential in $n. $ We present the first quasi-polynomial approximation scheme for the base of the number of triangulations of a planar point set.
Cold Dense Ion Outflow Observed in the Martian‐Induced Magnetotail by MAVEN

Cold ion outflow is one of the candidate processes to cause significant atmospheric escape from Mars. We here report on the cold dense heavy ion outflow event observed in Martian‐induced magnetotail by Mars Atmosphere and Volatile EvolutioN (MAVEN) on 4 December 2014. In the outflow event, the cold dense heavy ion outflow was observed only in south dusk downward convection electric field (E) lobe. During the event, the strong crustal magnetic field was located on dayside of Mars. It suggests that combination of minimagnetosphere and downward E facilitates the cold dense heavy ion outflow. In order to estimate the CO2+ density, we adopted a fitting method of log‐normal distribution to the O2+ time of flight distributions to eliminate O2+ contamination in the CO2+ time of flight data. Contribution of O2+, O+, and CO2+ to the total heavy ions (~134 cm−3) is about 71%, 26%, and 3%, respectively. Average heavy ion flux was ~5.4 × 107 cm−2s−1, assuming the escape velocity at 2,000‐km altitude.
Featherweight Firefox: Formalizing the Core of a Web Browser

We offer a formal specification of the core functionality of a web browser in the form of a small-step operational semantics. The specification accurately models the asynchronous nature of web browsers and covers the basic aspects of windows, DOM trees, cookies, HTTP requests and responses, user input, and a minimal scripting language with first-class functions, dynamic evaluation, and AJAX requests. No security enforcement mechanisms are included--instead, the model is intended to serve as a basis for formalizing and experimenting with different security policies and mechanisms. We survey the most interesting design choices and discuss how our model relates to real web browsers.
Denoising and error correction in wireless sensor networks

Measurements of wireless sensor networks (WSNs) are often polluted by random measurement noises and corrupted by unpredictable sensory reading errors. For a typical field monitoring scenario, this paper considers to correct sensory reading errors and recover the monitoring field, subject to measurement noises. The key factor to enable successful de-noising and error correction is that the monitoring field can often be represented by a sparse signal vector; signal sparsity makes sensory readings of WSNs to be redundant, which offers inherent fault tolerance against measurement noises and sensory reading errors. Specifically, this paper focuses on two approaches: one is the l\ regularized least squares (LRLS) approach which was proposed to handle noises in statistical signal processing, and the other is the cross-and-bouquet (CAB) approach which was proposed to correct errors in computer vision. Discussion of their relationship reveals that the CAB approach is robust to measurement noises, while the two approaches have similar performance when sensory reading errors are dense. Extensive simulation results validate the effectiveness of the two approaches.
Thiol-Mediated Redox Regulation of Intestinal Lamina Propria T Lymphocytes

Intestinal lamina propria T lymphocytes (LP-Ts) have a markedly low proliferative potential both in vivo and in vitro. Here, we have identified that the capacity of antigen-presenting cells to release cysteine upon receptor–ligand interactions represents a critical parameter for proliferation of LP-Ts. The availability of cysteine is limiting for the intracellular production of glutathione, which in turn is essential for cell cycle progression. When cysteine is provided either directly or by addition of the reducing agent 2-mercaptoethanol to cystine-containing culture medium, proliferation of LP-T is fully restored. Importantly, coculture with peripheral blood monocytes that easily take up cystine, reduce cystine, and secrete cysteine also restores reactivity of LP-Ts to T cell receptor/CD3 stimulation. In marked contrast, lamina propria macrophages lack this capacity to elaborate cysteine, and thereby secure physiological unresponsiveness to antigen exposure in the intestinal microenvironment. The well-documented local recruitment of blood monocytes in inflammatory bowel disease (IBD) may thus represent an important parameter underlying hyperresponsiveness of T cells, an essential component of the pathogenesis of IBD.
Investigation into Batman-adv Protocol Performance in an Indoor Mesh Potato Testbed

In this paper, we describe the performance of the B.A.T.M.A.N advanced (Batman-adv) protocol on an indoor Mesh Potato (MP) test bed. The MPs are small devices used for voice communications over the wireless medium but also supports data. The Batman-adv protocol is designed for ad hocwireless networks. We measure delay, packet loss in order to understand the MPs network performance. The experiments used packets of varying sizes over multiple hops. We analyze the data to see if the network latency for up to four hops is within the recommended boundaries set by ITU Recommendation G. 114. We also observe the how thenetwork's performance is affected by the varying packet sizes. Finally the experiments also reveal the common issues found on the wireless medium and also indoor testbeds.