LLukas22/scidocs huggingface dataset:
Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.

OBJECTIVE
Optimal mental health care is dependent upon sensitive and early detection of mental health problems. We have introduced a state-of-the-art method for the current study for remote behavioral monitoring that transports assessment out of the clinic and into the environments in which individuals negotiate their daily lives. The objective of this study was to examine whether the information captured with multimodal smartphone sensors can serve as behavioral markers for one's mental health. We hypothesized that (a) unobtrusively collected smartphone sensor data would be associated with individuals' daily levels of stress, and (b) sensor data would be associated with changes in depression, stress, and subjective loneliness over time.


METHOD
A total of 47 young adults (age range: 19-30 years) were recruited for the study. Individuals were enrolled as a single cohort and participated in the study over a 10-week period. Participants were provided with smartphones embedded with a range of sensors and software that enabled continuous tracking of their geospatial activity (using the Global Positioning System and wireless fidelity), kinesthetic activity (using multiaxial accelerometers), sleep duration (modeled using device-usage data, accelerometer inferences, ambient sound features, and ambient light levels), and time spent proximal to human speech (i.e., speech duration using microphone and speech detection algorithms). Participants completed daily ratings of stress, as well as pre- and postmeasures of depression (Patient Health Questionnaire-9; Spitzer, Kroenke, & Williams, 1999), stress (Perceived Stress Scale; Cohen et al., 1983), and loneliness (Revised UCLA Loneliness Scale; Russell, Peplau, & Cutrona, 1980).


RESULTS
Mixed-effects linear modeling showed that sensor-derived geospatial activity (p < .05), sleep duration (p < .05), and variability in geospatial activity (p < .05), were associated with daily stress levels. Penalized functional regression showed associations between changes in depression and sensor-derived speech duration (p < .05), geospatial activity (p < .05), and sleep duration (p < .05). Changes in loneliness were associated with sensor-derived kinesthetic activity (p < .01).


CONCLUSIONS AND IMPLICATIONS FOR PRACTICE
Smartphones can be harnessed as instruments for unobtrusive monitoring of several behavioral indicators of mental health. Creative leveraging of smartphone sensing could provide novel opportunities for close-to-invisible psychiatric assessment at a scale and efficiency that far exceeds what is currently feasible with existing assessment technologies.
Design of a small-scale autonomous amphibious vehicle

A detailed design of an autonomous amphibious vehicle (AAV) capable of traversing across aquatic and terrestrial environments is presented. The vehicle features a unique suspension system built into the two segment body, whereby a joint allows each segment to pitch and roll independently of one another while traveling across uneven terrain. Four driven paddle wheels propel the vehicle while on-land and on-water. Modular buoyancy attachments have been used in order to allow the AAV to float on water as necessary. A control algorithm has also been proposed to allow the AAV to travel from its current location to another location specified with latitude and longitude coordinates.
STACEE: enhancing storage clouds using edge devices

The explosion of user generated data along with the evolution of web 2.0 applications (e.g. social networks, blogs, podcasts, etc.) has resulted in a tremendous demand for storage. With cloud computing posing as a possible all-in-one solution, "storage clouds" focus on providing distributed storage capability. We discuss the creation of a storage cloud using edge devices, based on Peer-to-Peer resource provisioning. In this approach, mobile phones, PCs/Media Centers, Set-top-boxes, modems and networked storage devices can all contribute as storage within these storage clouds. Combining all end-user edge devices may result in a scalable, very flexible storage capability that keeps the data comparatively close to the user, increasing availability, while reducing latency. This work addresses the issue of Quality of Service (QoS)-aware scheduling in a P2P storage cloud, built with edge devices by designing an optimization scheme that minimizes energy from a system perspective and simultaneously maximizing user satisfaction from the individual user perspective.
Interpersonal and social rhythm therapy: an intervention addressing rhythm dysregulation in bipolar disorder


Bipolar disorder is characterized by frequent recurrences, often related to noncompliance with drug treatment, stressful life events, and disruptions in social rhythms. Interpersonal and social rhythm therapy (IPSRT) was designed to directly address these problem areas. This article discusses the circadian basis of IPSRT and the importance of stable daily routines in the maintenance of the euthymic state, as well as the two large controlled trials which empirically support this intervention. The authors discuss the advantages of IPSRT as an acute intervention, as well as a prophylactic treatment for both bipolar I and II disorder. Using a case example, the authors describe how IPSRT is implemented in a clinical setting, detailing the therapeutic methods and processes involved.
Antecedents to agenda setting and framing in health news: an examination of priority, angle, source, and resource usage from a national survey of U.S. health reporters and editors.

The influence of news media on audience cognitions, attitudes, and behaviors in the realm of politics, race relations, science, and health has been extensively documented.Agenda setting and framing studies show that news media influence how people develop schema and place priorities on issues, with media stories serving as a major source of issue frames. Although news media are an important intermediary in the translation of scientific knowledge to different publics, little has been documented about the production of health news and factors that may predict media agenda setting and framing in health journalism. We used data from a 2005 national survey of U.S. health reporters and editors to examine predictors of source, resource, story angle, and frame usage among reporters and editors by variables such as organizational structure, individual characteristics of respondents (such as education and years working as a journalist),and perceptions of occupational autonomy. Multivariable logistic regression models revealed several differences among U.S. health reports and editors in the likelihood of using a variety of news sources, resources, priorities, and angles in reporting. Media agenda setting and framing theories suggest that practitioners familiar with media processes can work with journalists to frame messages, thereby increasing the probability of accurate and effective reporting. Results from this study may help to inform interactions between public health and medical practitioners and the press [corrected].
On the Complexity of the Extended String-to-String Correction Problem

The Extended String-to-String Correction Problem [ESSCP] is defined as the problem of determining, for given strings A and B over alphabet V, a minimum-cost sequence S of edit operations such that S(A) &equil; B. The sequence S may make use of the operations: <underline>Change, Insert, Delete</underline> and <underline>Swaps</underline>, each of constant cost W<subscrpt>C</subscrpt>, W<subscrpt>I</subscrpt>, W<subscrpt>D</subscrpt>, and W<subscrpt>S</subscrpt> respectively. Swap permits any pair of adjacent characters to be interchanged.
 The principal results of this paper are:
 (1) a brief presentation of an algorithm (the CELLAR algorithm) which solves ESSCP in time Ø(¦A¦* ¦B¦* ¦V¦<supscrpt>s</supscrpt>*s), where s &equil; min(4W<subscrpt>C</subscrpt>, W<subscrpt>I</subscrpt>+W<subscrpt>D</subscrpt>)/W<subscrpt>S</subscrpt> + 1;
 (2) presentation of polynomial time algorithms for the cases (a) W<subscrpt>S</subscrpt> &equil; 0, (b) W<subscrpt>S</subscrpt> > 0, W<subscrpt>C</subscrpt>&equil; W<subscrpt>I</subscrpt>&equil; W<subscrpt>D</subscrpt>&equil; @@@@;
 (3) proof that ESSCP, with W<subscrpt>I</subscrpt> < W<subscrpt>C</subscrpt> &equil; W<subscrpt>D</subscrpt> &equil; @@@@, 0 < W<subscrpt>S</subscrpt> < @@@@, suitably encoded, is NP-complete. (The remaining case, W<subscrpt>S</subscrpt>&equil; @@@@, reduces ESSCP to the string-to-string correction problem of [1], where an Ø( ¦A¦* ¦B¦) algorithm is given.) Thus, “almost all” ESSCP's can be solved in deterministic polynomial time, but the general problem is NP-complete.
Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities

Best practice exemplars suggest that digital platforms play a critical role in managing supply chain activities and partnerships that generate perjormance gains for firms. However, there is Umited academic investigation on how and why information technology can create performance gains for firms in a supply chain management (SCM) context. Grant's (1996) theoretical notion of higher-order capabilities and a hierarchy of capabilities has been used in recent information systems research by Barua et al. (2004). Sambamurthy et al. (2003), and Mithas et al. (2004) to reframe the conversation from the direct performance impacts of IT resources and investments to how and why IT shapes higher-order proeess capabilities that ereate performance gains for firms. We draw on the emerging IT-enabled organizational capabilities perspective to suggest that firms that develop IT infrastrueture integration for SCM and leverage it to create a higher-order supply chain integration capability generate significant and sustainable performance gains. A research model is developed to investigate the hierarchy oflT-related capabilities and their impaet on firm performance. Data were collected from } 10 supply chain and logisties managers in manufacturing and retail organizations. Our results suggest that integrated IT infrastructures enable firms to develop the higher-order capability of supply chain process integration. This eapability enables firms to unbundle information flows from physical flows, and to share information with their supply chain partners to create information-based approaches for superior demand planning, for the staging and movement of physical products, and for streamlining voluminous and complex financial work processes. Furthermore. IT-enabled supply chain integration capability results in significant and sustained firm performance gains, especially in operational excellence and revenue growth. Managerial
Image Classification in Remote Sensing

One of the most important functions of remote sensing data is the production of Land Use and Land Cover maps and thus can be managed through a process called image classification. This paper looks into the following components related to the image classification process and procedures and image classification techniques and explains two common techniques K-means Classifier and Support Vector Machine (SVM).
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings

In the recent years, there has been an increasing academic and industrial interest for analyzing the electrical consumption of commercial buildings. Whilst having similarities with the Non Intrusive Load Monitoring (NILM) tasks for residential buildings, the nature of the signals that are collected from large commercial buildings introduces additional difficulties to the NILM research causing existing NILM approaches to fail. On the other hand, the amount of publicly available datasets collected from commercial buildings is very limited, which makes the NILM research even more challenging for this type of large buildings. In this study, we aim at addressing these issues. We first present an extensive statistical analysis of both commercial and residential measurements from public and private datasets and show important differences. Secondly, we develop an algorithm for generating synthetic current waveforms. We then demonstrate using real measurement and quantitative metrics that both our device model and our simulations are realistic and can be used to evaluate NILM algorithms. Finally, to encourage research on commercial buildings we release a synthesized dataset. Preprint submitted to Energy and Building July 30, 2018 ar X iv :1 80 3. 00 51 5v 1 [ cs .O H ] 2 6 Fe b 20 18
Systemic and bronchodilator effects of inhaled rac-formoterol in subjects with chronic obstructive pulmonary disease: a dose-response study.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT
The long-acting inhaled beta(2)-agonist formoterol has systemic effects when taken in high doses. It can be used as relief medication in asthma and there is interest in this approach in chronic obstructive pulmonary disease (COPD). Relief medication can involve high doses, and in subjects with COPD who have limited ability to bronchodilate the adverse effects can outweigh the benefits. There are concerns with the overall safety of high-dose beta(2)-agonists in subjects with COPD, and this study looks at the balance of beneficial and adverse effects of a range of doses of inhaled formoterol.


WHAT THIS STUDY ADDS
Among subjects with COPD, high-dose inhaled formoterol produced a dose-related increase in forced expiratory volume in 1 s without a corresponding reduction in dyspnoea or increase in walk distance. Systemic effects were modest, however, and high doses did not appear to reduce patient satisfaction. Although further safety data are needed, inhaled formoterol may have a role as relief medication in COPD. AIMS Rac-formoterol is effective as maintenance treatment for both asthma and chronic obstructive pulmonary disease (COPD) and is now used as relief therapy in asthma. Using rac-formoterol for relief and maintenance treatment could involve inhalation of high doses, and whether this is of benefit in COPD is uncertain. Our aim was to determine whether higher doses of inhaled rac-formoterol produce systemic adverse effects that outweigh the limited bronchodilator benefit seen in subjects with COPD.


METHODS
We examined airway and systemic effects of 6, 12, 24 and 48 microg rac-formoterol and placebo on separate days in 20 subjects with symptomatic COPD [forced expiratory volume in 1 s (FEV(1)) 47% predicted]. FEV(1), oxygen saturation, dyspnoea, 6-min walk distance, patient satisfaction and systemic effects were measured and treatment was assessed against placebo and for dose-response effects.


RESULTS
FEV(1)[area under the time-response curve (AUC)] and satisfaction scores increased with all formoterol doses compared with placebo, as did AUC tremor with the 24- and 48-microg doses and AUC heart rate with the 48-microg dose. A dose-response relationship was seen with FEV(1) and tremor, but not with satisfaction scores. There was no difference between placebo and rac-formoterol for other variables.


CONCLUSIONS
Our results show that in patients with COPD rac-formoterol improves FEV(1) and patient satisfaction without a corresponding reduction in dyspnoea. Since the systemic effects from a relatively high dose were minimal, its use as relief medication in COPD merits further evaluation.
The Reference Scenario in the LUISA platform – Updated configuration 2014Towards a Common Baseline Scenario for EC Impact Assessment procedures

The LUISA land-use modelling framework is used routinely for integrated sustainability assessments of EC policies.. All policy impacts are assessed by comparing policy scenario model results with a reference scenario. This reference scenario is frequently updated to take into account new developments in land-use modelling practice, and to take into account new projections offered by the various sectoral models that supply information to LUISA.. This report details all changes made in 2014 as updates to the EU Reference scenario 2013 with regard to land-use claims and the LUISA spatial allocation mechanism. Finally, new developments related to the reporting and visualization of LUISA model results are highlighted. JRC Science and Policy Reports The Reference scenario in the LUISA platform – Updated configuration 2014 | II TABLE OF CONTENTS Table of
Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis

Text is not only an important medium to describe facts and events, but also to effectively communicate information about the writer’s (positive or negative) sentiment underlying an opinion, and an affect or emotion (e.g. happy, fearful, surprised etc.). We consider sentiment assessment and emotion sensing from text as two different problems, whereby sentiment assessment is a prior task to emotion sensing. This paper presents an approach to sentiment assessment, i.e. the recognition of negative or positive sense of a sentence. We perform semantic dependency analysis on the semantic verb frames of each sentence, and apply a set of rules to each dependency relation to calculate the contextual valence of the whole sentence. By employing a domain-independent, rule-based approach, our system is able to automatically identify sentence-level sentiment. Empirical results indicate that our system outperforms another stateof-the-art approach.
Interactive outdoor mobile augmentation using markerless tracking and GPS

In this paper, we present novel interactive approaches for outdoor augmentation with a mobile device. Our implementations perform real-time on simple mini-PC equipment, using feature tracking for estimating camera motion when user turns the mobile device and examines the augmented scene. We consider two use scenarios. The first one is always applicable with any 3D model for ad hoc use without prior knowledge or calibration process. The second one uses GPS for defining the viewing location and Google Earth KML-files for defining the augmented object and its placement. This way 3D object placed on Google Earth can be viewed on site without any further data conversion steps. We foresee that this functionality can later be extended to automatically download and visualize any Google Earth content on a location aware mobile device, i.e. “Google Earth on Earth”.
Simplification to Abacavir/Lamivudine + Atazanavir Maintains Viral Suppression and Improves Bone and Renal Biomarkers in ASSURE, a Randomized, Open Label, Non-Inferiority Trial

OBJECTIVE
Simplification of antiretroviral therapy in patients with suppressed viremia may minimize long-term adverse effects. The study's primary objective was to determine whether abacavir/lamivudine + atazanavir (ABC/3TC+ATV) was virologically non-inferior to tenofovir/emtricitabine + atazanavir/ritonavir (TDF/FTC+ATV/r) over 24 weeks in a population of virologically suppressed, HIV-1 infected patients.


DESIGN
This open-label, multicenter, non-inferiority study enrolled antiretroviral experienced, HIV-infected adults currently receiving a regimen of TDF/FTC+ATV/r for ≥ 6 months with no history of virologic failure and whose HIV-1 RNA had been ≤ 75 copies/mL on 2 consecutive measurements including screening. Patients were randomized 1 ∶ 2 to continue current treatment or simplify to ABC/3TC+ATV.


METHODS
The primary endpoint was the proportion of patients with HIV-RNA<50 copies/mL at Week 24 by the Time to Loss of Virologic Response (TLOVR) algorithm. Secondary endpoints included alternative measures of efficacy, adverse events (AEs), and fasting lipids. Exploratory endpoints included inflammatory, coagulation, bone, and renal biomarkers.


RESULTS
After 24 weeks, ABC/3TC+ATV (n = 199) was non-inferior to TDF/FTC+ATV/r (n = 97) by both the primary analysis (87% in both groups) and all secondary efficacy analyses. Rates of grade 2-4 AEs were similar between the two groups (40% vs 37%, respectively), but an excess of hyperbilirubinemia made the rate of grade 3-4 laboratory abnormalities higher in the TDF/FTC+ATV/r group (30%) compared with the ABC/3TC+ATV group (13%). Lipid levels were stable except for HDL cholesterol, which increased significantly in the ABC/3TC+ATV group. Bone and renal biomarkers improved significantly between baseline and Week 24 in patients taking ABC/3TC+ATV, and the difference between groups was significant at Week 24. No significant changes occurred in any inflammatory or coagulation biomarker within or between treatment groups.


CONCLUSIONS
After 24 weeks, simplification to ABC/3TC+ATV from TDF/FTC+ATV/r maintained viral suppression was well-tolerated, and led to improvements in bone and renal biomarkers and HDL cholesterol.


TRIAL REGISTRATION
ClinicalTrials.gov NCT01102972 GlaxoSmithKline Clinical Study Register #113734.
Predictive control of DC-link voltage in an active-front-end rectifier

Model predictive control (MPC) has been successfully applied to several power converters topologies, mainly because of the finite set of inputs which are given by the available switching states of these devices. However, MPC could not directly control the DC-link voltage in active-front-end(AFE) rectifiers, because they feature a non minimum phase behavior that produces an initial inverse dynamic and mislead the optimization stage selecting a wrong switching state. To avoid this effect, the DC-link voltage is usually controlled using a linear PI controller and an inner current or power control loop. However, the linear controller is difficult to design and presents a restricted dynamic behavior. In this paper, a DC-link voltage MPC is proposed. The proposed controller calculates the required active power reference based on the output power and the energy stored in the DC-link capacitor. Simulation results shows a good dynamic response and a zero steady state error.
SAFE: Security-Aware FlexRay Scheduling Engine

In this paper, we propose SAFE (Security Aware FlexRay scheduling Engine), to provide a problem definition and a design framework for FlexRay static segment schedule to address the new challenge on security. From a high level specification of the application, the architecture and communication middleware are synthesized to satisfy security requirements, in addition to extensibility, costs, and end-to-end latencies. The proposed design process is applied to two industrial case studies consisting of a set of active safety functions and an X-by-wire system respectively.