LLukas22/scidocs huggingface dataset:
WU-NEAT: A clinically validated, open- source MATLAB toolbox for limited-channel neonatal EEG analysis

Goal: Limited-channel EEG research in neonates is hindered by lack of open, accessible analytic tools. To overcome this limitation, we have created the Washington University- Neonatal EEG Analysis Toolbox (WU-NEAT), containing two of the most commonly used tools, provided in an open-source, clinically-validated package running within MATLAB. Methods: The first algorithm is the amplitude-integrated EEG (aEEG), which is generated by filtering, rectifying and time-compressing the original EEG recording, with subsequent semi-logarithmic display. The second algorithm is the spectral edge frequency (SEF), calculated as the critical frequency below which a user- defined proportion of the EEG spectral power is located. The aEEG algorithm was validated by three experienced reviewers. Reviewers evaluated aEEG recordings of fourteen preterm/term infants, displayed twice in random order, once using a reference algorithm and again using the WU-NEAT aEEG algorithm. Using standard methodology, reviewers assigned a background pattern classification. Inter/intra-rater reliability was assessed. For the SEF, calculations were made using the same fourteen recordings, first with the reference and then with the WU-NEAT algorithm. Results were compared using Pearson's correlation coefficient. Results: For the aEEG algorithm, intra- and inter-rater reliability was 100% and 98%, respectively. For the SEF, the mean (SD) Pearson correlation coefficient between algorithms was 0.96 (0.04). Conclusion: We have demonstrated a clinically-validated toolbox for generating the aEEG as well as calculating the SEF from EEG data. Open-source access will enable widespread use of common analytic algorithms which are device-independent and not subject to obsolescence, thereby facilitating future collaborative research in neonatal EEG.
Effective Approaches to Attention-based Neural Machine Translation

An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation. However, there has been little work exploring useful architectures for attention-based NMT. This paper examines two simple and effective classes of attentional mechanism: a global approach which always attends to all source words and a local one that only looks at a subset of source words at a time. We demonstrate the effectiveness of both approaches on the WMT translation tasks between English and German in both directions. With local attention, we achieve a significant gain of 5.0 BLEU points over non-attentional systems that already incorporate known techniques such as dropout. Our ensemble model using different attention architectures yields a new state-of-the-art result in the WMT’15 English to German translation task with 25.9 BLEU points, an improvement of 1.0 BLEU points over the existing best system backed by NMT and an n-gram reranker.1
Physical activity and sedentary behavior in breast cancer survivors: New insight into activity patterns and potential intervention targets.

BACKGROUND
Inactivity and sedentary behavior are related to poorer health outcomes in breast cancer survivors. However, few studies examining these behaviors in survivors have used objective measures, considered activities other than moderate-to-vigorous intensity activity (MVPA) and/or sedentary behavior (i.e. low intensity activities) or compared survivors to healthy controls. The purpose of the present study is to compare accelerometer-measured activity of various intensities (total, light, lifestyle, MVPA) and sedentary behavior between breast cancer survivors and non-cancer controls.


METHODS
An imputation-based approach of independent sample t-tests adjusting for multiple comparisons was used to compare estimates of participation in each activity and sedentary behavior between survivors [n=398; M(SD)age=56.95 (9.11)] and block-matched non-cancer controls [n=1120; M(SD)age=54.88 (16.11)]. Potential moderating effects of body mass index (BMI), age, and education were also examined.


RESULTS
Breast cancer survivors registered less daily total (282.8 v. 346.9) light (199.1 v. 259.3) and lifestyle (62.0 v. 71.7) activity minutes and more MVPA (21.6 v. 15.9) and sedentary behavior (555.7 v. 500.6) minutes than controls (p<0.001 for all). These relationships were largely consistent across BMI, age and education. On average, survivors spent an estimated 66.4% of their waking time sedentary and 31.1% in light/lifestyle activity and 2.6% in MVPA.


CONCLUSIONS
Breast cancer survivors are more sedentary and participate in less low intensity activity than controls. Although survivors registered more MVPA, these levels were insufficient. Future research should explore these differences and potential benefits of targeting low intensity activities and reducing sedentary time in this population.
Relationship between duration of hospital-acquired acute kidney injury and mortality: a prospective observational study

BACKGROUND/AIMS
New definitions of acute kidney injury (AKI) have recently emerged. Some studies have suggested that duration of AKI is an additional predictive parameter for mortality. Here, we evaluated whether AKI duration was predictive of long-term mortality in patients with hospital-acquired acute kidney injury (HAAKI).


METHODS
We prospectively enrolled patients who developed HAAKI at an urban university hospital, from September 2007 to August 2008 and followed them until December 2011. Patients were divided into two groups by duration of the AKI (1 to 5 days vs. ≥ 6 days), and long-term mortality was compared.


RESULTS
HAAKI developed in 1.2% of patients during the enrollment period. The median follow-up period was 240 days (interquartile range, 53 to 1,428). In 42.3% of patients (n = 52), the AKI lasted 1 to 5 days, while it lasted ≥ 6 days in 57.7% (n = 71). Survival analysis showed that a longer duration of AKI increased the risk of death. Long-term survival was significantly different in the two groups.


CONCLUSIONS
The duration of AKI influenced mortality rates in hospitalized patients. Thus, AKI duration is a parameter affecting mortality in HAAKI.
Cognitive computation

Cognitive computation is discussed as a discipline that links together neurobiology, cognitive psychology and artificial intelligence.
Environmental audit of Municipal Solid Waste Management

The management of municipal solid waste has become an acute problem due to enhanced economic activities and rapid urbanisation. Increased attention has been given by the government in recent years to handle this problem in a safe and hygienic manner. In this regard, Municipal Solid Waste Management (MSWM) environmental audit has been carried out for Bangalore city through the collection of secondary data from the government agencies, and interviewing stakeholders and field surveys. Field survey was carried out in seven wards (representative samples of the city) to understand the practice and the lacuna. The audit was carried out functional element wise in selected wards to understand the efficacy and shortfalls, if any, of MSWM. 49% of the bins are covered while evaluating storage options. 17.5% of the commercial areas have community bins and 94% of the residential areas have adopted a doorto-door method for the collection of waste. Segregation of wastes in these methods of collection is 3%. There are no transfer stations presently and large-scale trucks have been used in a few wards to carry out the functions of a transfer station. Among the trucks used for the disposal of wastes from wards to disposal sites, 41.43% are polythene covered. Recycling carried out mainly by the informal sector (rag pickers) has high level of efficiency and the recyclables are being retrieved by this sector at all stages starting from collection to disposal of wastes at dump sites. As the major composition of waste is organic, waste treatment options like composting is successful in Bangalore and currently 3.14% waste reduction is achieved through composting. Ultimately, about 60% of the waste is disposed in dump yards and a balance of 21.14% is disposed in open quarry sites.
Fraudulent Detection in Credit Card System Using SVM & Decision Tree

With growing advancement in the electronic commerce field, fraud is spreading all over the world, causing major financial losses. In current scenario, Major cause of financial losses is credit card fraud; it not only affects trades person but also individual clients. Decision tree, Genetic algorithm, Meta learning strategy, neural network, HMM are the presented methods use to detect credit card frauds. In contemplate system for fraudulent detection, artificial intelligence concept of Support Vector Machine (SVM) & decision tree is being used to solve the problem. Thus by implementation of this hybrid approach, financial losses can be reduced to greater extend. Keywords-SVM; Decision Tree; Model File; Prediction File; Libsvmtools; LIBSVM; fraudster;
Novel lanthanide luminescent materials based on complexes of 3-hydroxypicolinic acid and silica nanoparticles

New lanthanide complexes of 3-hydroxypicolinic acid (HpicOH) were prepared: [Ln(H2O)(picOH)2(μ-HpicO)]‚3H2O (Ln ) Eu, Tb, Er). The complexes were characterized using photoluminescence, infrared, Raman, and 1H NMR spectroscopy, and elemental analysis. The crystal structure of [Eu(H2O)(picOH)2(μ-HpicO)]‚3H2O 1 was determined by X-ray diffraction. Compound 1 crystallizes in a monoclinic system with space group P21/c and cell parameters a ) 9.105(13) Å, b ) 18.796(25) Å, and c ) 13.531(17) Å, and â ) 104.86(1) deg. The 3-hydroxypicolinate ligands coordinate through both N,Oor O,Ochelation to the lanthanide ions, as shown by X-ray and spectroscopic results. Photoluminescence measurements were performed for the Eu(III) and Tb(III) complexes; the Eu(III) complex was investigated in more detail. The Eu(III) compound is highly luminescent and acts as a photoactive center in nanocomposite materials whose host matrixes are silica nanoparticles.
Technology as an operant resource in service (eco)systems

In this paper, we explore the role and scope of technology in value co-creation, service innovation and service systems—value co-creation configurations of people technology and value propositions (Maglio and Spohrer in J Acad Mark Sci 36:18–20, 2008). We draw on a structurational model of technology (Orlikowsky in Organ Sci 3(3):398–427, 1992) to provide a framework for considering the role of technology in service systems and how it influences and is influenced by human actions (i.e., practices) and institutions. We broaden the scope of technology in this model, beyond a material artifact, or outcome of human actions, by applying an S-D logic, service ecosystems (Vargo and Lusch in J Market 68(1):1–17, 2004, Ind Mark Manag 40(2):181–187, 2011a) approach, which focuses on the processes by which value is co-created and new ways of creating value (i.e., innovation) emerge. In this view, technology can be conceptualized as an operant resource—one that is capable of acting on other resources to create value—and, thus, becomes a critical resource for value co-creation, service innovation and systems (re)formation. We argue that the consideration of technology as an operant resource in service (eco)systems provides a more encompassing view for systematically studying the way in which technologies are integrated as resources, value is collaboratively created, and service is innovated.
Review of Energy Harvesting Technologies for Sustainable Wireless Sensor Network

The rapid growth in demands for computing everywhere has made computer a pivotal component of human mankind daily lives. Whether we use the computers to gather information from the Web, to utilize them for entertainment purposes or to use them for running businesses, computers are noticeably becoming more widespread, mobile and smaller in size. What we often overlook and did not notice is the presence of those billions of small pervasive computing devices around us which provide the intelligence being integrated into the real world. These pervasive computing devices can help to solve some crucial problems in the activities of our daily lives. Take for examples, in the military application, a large quantity of the pervasive computing devices could be deployed over a battlefield to detect enemy intrusion instead of manually deploying the landmines for battlefield surveillance and intrusion detection Chong et al. (2003). Additionally, in structural health monitoring, these pervasive computing devices are also used to detect for any damage in buildings, bridges, ships and aircraft Kurata et al. (2006). To achieve this vision of pervasive computing, also known as ubiquitous computing, many computational devices are integrated in everyday objects and activities to enable better humancomputer interaction. These computational devices are generally equipped with sensing, processing and communicating abilities and these devices are known as wireless sensor nodes. When several wireless sensor nodes are meshed together, they form a network called the Wireless Sensor Network (WSN). Sensor nodes arranged in network form will definitely exhibit more and better characteristics than individual sensor nodes. WSN is one of the popular examples of ubiquitous computing as it represents a new generation of real-time embedded system which offers distinctly attractive enabling technologies for pervasive computing environments. Unlike the conventional networked systems like Wireless Local Area Network (WLAN) and Global System for Mobile communications (GSM), WSN promise to couple end users directly to sensor measurements and provide information that is precisely localized in time and/or space, according to the users’ needs or demands. In the Massachusetts Institute of Technology (MIT) technology review magazine of innovation published in February 2003 MIT (2003), the editors have identified Wireless Sensor Networks as the first of the top ten emerging technologies that will change the world. This explains why WSN has swiftly become a hot research topic in both academic and industry. 2
The RavenClaw dialog management framework: Architecture and systems

In this paper, we describe RavenClaw, a plan-based, task-independent dialog management framework. RavenClaw isolates the domain-specific aspects of the dialog control logic from domain-independent conversational skills, and in the process facilitates rapid development of mixed-initiative systems operating in complex, task-oriented domains. System developers can focus exclusively on describing the dialog task control logic, while a large number of domain-independent conversational skills such as error handling, timing and turn-taking are transparently supported and enforced by the RavenClaw dialog engine. To date, RavenClaw has been used to construct and deploy a large number of systems, spanning different domains and interaction styles, such as information access, guidance through procedures, command-and-control, medical diagnosis, etc. The framework has easily adapted to all of these domains, indicating a high degree of versatility and scalability. 2008 Elsevier Ltd. All rights reserved.
Implicit Argument Prediction with Event Knowledge

Implicit arguments are not syntactically connected to their predicates, and are therefore hard to extract. Previous work has used models with large numbers of features, evaluated on very small datasets. We propose to train models for implicit argument prediction on a simple cloze task, for which data can be generated automatically at scale. This allows us to use a neural model, which draws on narrative coherence and entity salience for predictions. We show that our model has superior performance on both synthetic and natural data. 1
The rehabilitation of gait in patients with hemiplegia: a comparison between conventional therapy and multichannel functional electrical stimulation therapy.

BACKGROUND AND PURPOSE
Gait rehabilitation in patients with severe hemiplegia requires substantial effort. Preliminary studies indicate potential beneficial effects of using multichannel functional electrical stimulation (MFES) for gait rehabilitation in these patients. In this study, a new method of gait rehabilitation for nonambulatory patients with hemiplegia by means of MFES added to conventional therapy was introduced. The results of the method's application were evaluated by comparing it with conventional therapeutic methods.


SUBJECTS
The proposed rehabilitation method was tested on a group of 20 patients with severe hemiplegia secondary to cerebrovascular accident. Subjects were randomly assigned to one of two groups. One group received 3 weeks of MFES followed by 3 weeks of conventional therapy. The other group received 3 weeks of conventional therapy followed by 3 weeks of MFES.


METHODS
The effects of each therapeutic method were evaluated by measurements of temporal-distance variables and ground reaction forces and by assessment of each subject's physical status according to the Fugl-Meyer evaluation scale.


RESULTS
There was improved performance of the subjects during MFES combined with conventional therapy as compared with conventional therapy alone.


CONCLUSION AND DISCUSSION
The superiority of the MFES method as compared with conventional therapy was mainly attributed to the enhanced motor learning accomplished by application of MFES. These results, however, are preliminary, and further research is needed.
Bibliometric analysis of articles published from 1980 to 2009 in Physical Therapy, journal of the American Physical Therapy Association.

BACKGROUND
Recent evidence demonstrates growth in both the quality and quantity of evidence in physical therapy. Much of this work has focused on randomized controlled trials and systematic reviews.


OBJECTIVE
The purpose of this study was to conduct a comprehensive bibliometric assessment of Physical Therapy (PTJ) over the past 30 years to examine trends for all types of studies.


DESIGN
This was a bibliometric analysis.


METHODS
All manuscripts published in PTJ from 1980 to 2009 were reviewed. Research reports, topical reviews (including perspectives and nonsystematic reviews), and case reports were included. Articles were coded based on type, participant characteristics, physical therapy focus, research design, purpose of article, clinical condition, and intervention. Coding was performed by 2 independent reviewers, and author, institution, and citation information was obtained using bibliometric software.


RESULTS
Of the 4,385 publications identified, 2,519 were included in this analysis. Of these, 67.1% were research reports, 23.0% were topical reviews, and 9.9% were case reports. Percentage increases over the past 30 years were observed for research reports, inclusion of "symptomatic" participants (defined as humans with a current symptomatic condition), systematic reviews, qualitative studies, prospective studies, and articles focused on prognosis, diagnosis, or metric topics. Percentage decreases were observed for topical reviews, inclusion of only "asymptomatic" participants (defined as humans without a current symptomatic condition), education articles, nonsystematic reviews, and articles focused on anatomy/physiology.


LIMITATIONS
Quality assessment of articles was not performed.


CONCLUSIONS
These trends provide an indirect indication of the evolution of the physical therapy profession through the publication record in PTJ. Collectively, the data indicated an increased emphasis on publishing articles consistent with evidence-based practice and clinically based research. Bibliometric analyses indicated the most frequent citations were metric studies and references in PTJ were from journals from a variety of disciplines.
Tauroursodeoxycholic Acid May Improve Liver and Muscle but Not Adipose Tissue Insulin Sensitivity in Obese Men and Women

OBJECTIVE
Insulin resistance is commonly associated with obesity. Studies conducted in obese mouse models found that endoplasmic reticulum (ER) stress contributes to insulin resistance, and treatment with tauroursodeoxycholic acid (TUDCA), a bile acid derivative that acts as a chemical chaperone to enhance protein folding and ameliorate ER stress, increases insulin sensitivity. The purpose of this study was to determine the effect of TUDCA therapy on multiorgan insulin action and metabolic factors associated with insulin resistance in obese men and women.


RESEARCH DESIGN AND METHODS
Twenty obese subjects ([means +/- SD] aged 48 +/- 11 years, BMI 37 +/- 4 kg/m2) were randomized to 4 weeks of treatment with TUDCA (1,750 mg/day) or placebo. A two-stage hyperinsulinemic-euglycemic clamp procedure in conjunction with stable isotopically labeled tracer infusions and muscle and adipose tissue biopsies were used to evaluate in vivo insulin sensitivity, cellular factors involved in insulin signaling, and cellular markers of ER stress. RESULTS Hepatic and muscle insulin sensitivity increased by approximately 30% (P < 0.05) after treatment with TUDCA but did not change after placebo therapy. In addition, therapy with TUDCA, but not placebo, increased muscle insulin signaling (phosphorylated insulin receptor substrate(Tyr) and Akt(Ser473) levels) (P < 0.05). Markers of ER stress in muscle or adipose tissue did not change after treatment with either TUDCA or placebo.


CONCLUSIONS
These data demonstrate that TUDCA might be an effective pharmacological approach for treating insulin resistance. Additional studies are needed to evaluate the target cells and mechanisms responsible for this effect.
Acetylation of PAMAM dendrimers for cellular delivery of siRNA

BACKGROUND
The advancement of gene silencing via RNA interference is limited by the lack of effective short interfering RNA (siRNA) delivery vectors. Rational design of polymeric carriers has been complicated by the fact that most chemical modifications affect multiple aspects of the delivery process. In this work, the extent of primary amine acetylation of generation 5 poly(amidoamine) (PAMAM) dendrimers was studied as a modification for the delivery of siRNA to U87 malignant glioma cells.


RESULTS
PAMAM dendrimers were reacted with acetic anhydride to obtain controlled extents of primary amine acetylation. Acetylated dendrimers were complexed with siRNA, and physical properties of the complexes were studied. Dendrimers with up to 60% of primary amines acetylated formed approximately 200 nm complexes with siRNA. Increasing amine acetylation resulted in reduced polymer cytotoxicity to U87 cells, as well as enhanced dissociation of dendrimer/siRNA complexes. Acetylation of dendrimers reduced the cellular delivery of siRNA which correlated with a reduction in the buffering capacity of dendrimers upon amine acetylation. Confocal microscopy confirmed that escape from endosomes is a major barrier to siRNA delivery in this system.


CONCLUSION
Primary amine acetylation of PAMAM dendrimers reduced their cytotoxicity to U87 cells, and promoted the release of siRNA from dendrimer/siRNA complexes. A modest fraction (approximately 20%) of primary amines of PAMAM can be modified while maintaining the siRNA delivery efficiency of unmodified PAMAM, but higher degrees of amine neutralization reduced the gene silencing efficiency of PAMAM/siRNA delivery vectors.
Shimmering Smartwatches: Exploring the Smartwatch Design Space

We examine the nature of smartwatches and explore their associated user interface design space in this paper. Several smartwatches are using small graphical displays and as such are adopting similar forms. However, there are indications that other designs could be feasible. We discuss how smartwatches might use non-graphical displays and still offer "smart" capabilities. To demonstrate feasibility, we present two smartwatch prototypes and show how LED arrays can be used to dynamically support several functions needed by smartwatch applications. Finally, we discuss some tradeoffs associated with this approach and point to additional opportunities for investigating smartwatch designs.