Miracle-dz/UniFAR-FTUs huggingface dataset:
Antecedents of Advice Taking in Organizations: A Goal-Activation Approach

This dissertation consists of two largely stand-alone chapters. The first chapter presents a goal-activation theory of the antecedents of advice taking. I propose that three separate categories of goals—decision quality, social standing, and emotional well-being—influence receptivity to advice. Decision quality goals increase striving toward a good outcome in the decision for which the advice was given. Social standing goals focus attention on the social effects of the act of taking or rejecting the advice. Emotional well-being goals are related to establishing or maintaining a desired affective state. Each of these goals can be activated by attributes of the situation, advice, advisee, and advisor. Because they increase striving toward different ends, the goals direct attention to disparate advice-related cues and affect the evaluation of those cues. This results in different responses to advice. At the current time, nearly all research on advice taking has addressed decision quality goals and related cues. By presenting this theory, I hope to increase interest in a wider set of antecedents of advice taking. The second chapter reports a series of studies testing hypotheses derived from the theory presented in the first chapter. Specifically, I contrast the effects of an advisor’s relative expertise to effects of the advisor’s relative hierarchical position on advice taking. I hypothesize that the effects of expertise are driven by decision quality goals, while the effects of relative hierarchical position relate to social standing goals. I further hypothesize that advisees’ conceptions of appropriate leader-follower relations (specifically, follower co-production role orientation; Carsten & Uhl-Bien, 2012) activate social standing goals, but not decision quality goals. Lastly, I propose that outcome accountability increases attention to decision quality goals and reduces attention to social standing goals.
APPROXIMATE REALIZATION OF VALVE DYNAMICS WITH TIME DELAY

This paper describes the model identification of control valve dynamics with a time delay. An experimental set-up is used to perform both frequency response and step response measurements on the control valve. An approximate realization algorithm and a new time delay estimation method are applied on the experimental data. The results illustrate that the suggested approach provides a good time delay estimate and a reasonable state space description for the valve dynamics.
Performance indicators in the wood products industry – a review and study of a saw mill supply chain

There is a need for customized tools capable of providing more holistic, integrated information about forest-based SCs. This study evaluates uses (current and potential) of performance indicators (PIs) for enhancing SC management in the wood industry. Literature on PIs in SCs is reviewed, and current use of PIs is analyzed in a survey study. The review distinguished PIs may be related to strategic, tactical or operational levels, and associated time horizons. As illustrated in Table 1, they may be financial (largely related to strategic goals) or non-financial (largely related to operational performance and the behavior of actors). Frameworks and methods for developing PIs depend vary according to the purpose. Goals of performance monitoring are described on retailing, processing and rounwood procurement levels. The case study reveals a clear negative correlation between customer orientation and distance from the market, i.e. a high degree of ‘responsiveness’ at the retailer end and concentration on efficiency at the supplier end of the supply chain. Further studies, including mapping exercises,and the combined effort to identify key performance areas, and developing performance indicators and measurements, are suggested.
Rest Rust ! Physical active for active and healthy ageing

The aim of this paper is to give an insight on how physical activity can be defined, parameterized and measured in older adults and on different options to deal with citizen physical activity promotion at European level. Three relevant aspects are highlighted: When talking about physical activity, two different aspects are often unfairly mixed up: “physical activity” and “physical capacity”. Physical activity, is referred to as the level of physical activity someone is actually performing in daily life. Physical capacity is referred to as the maximum physical activity a person can perform. Both physical activity and physical capacity can be expressed in different dimensions such as time, frequency, or type of activity with the consequence that there are many tools and techniques available. In order to support people to choose an appropriate instrument in their everyday practice a list of 9 criteria that are considered important is defined. Older adults score differently across the various physical dimensions, so strategies to promote physical activity should consider individual differences, in order to adapt for these variations.
Risk stratification for heart failure and death in an acute coronary syndrome population using inflammatory cytokines and N-terminal pro-brain natriuretic peptide.

BACKGROUND Inflammation in acute coronary syndrome (ACS) can identify those at greater long-term risks for heart failure (HF) and death. The present study assessed the performance of interleukin (IL)-6, IL-8, and monocyte chemoattractant protein-1 (MCP-1) (cytokines involved in the activation and recruitment of leukocytes) in addition to known biomarkers [e.g., N-terminal pro-brain natriuretic peptide (NT-proBNP)] for predicting HF and death in an ACS population. METHODS In a cohort of 216 ACS patients, NT-proBNP (Elecsys; Roche) and IL-6, IL-8, and MCP-1 (evidence investigator; Randox) were measured in serial specimens collected early after symptom onset (n = 723). We collected at least 2 specimens from each participant: an early specimen (median 2 h; interquartile range 2-4 h) and a later specimen (9 h; 9-9 h), and used the later specimens' biomarker concentrations for risk stratification. RESULTS An increase in both IL-6 and NT-proBNP was observed but not for IL-8 or MCP-1 early after pain onset. Kaplan-Meier analysis demonstrated that individuals with increased NT-proBNP (>183 ng/L) or cytokines (IL-6 > 6.4 ng/L; above upper limit of normal for IL-8 or MCP-1) had a greater probability of death or HF in the following 8 years (P <0.05). In a Cox proportional hazard model adjusted for both CRP and troponin I, increased IL-6, MCP-1, and NT-proBNP remained significant risk factors. Combining all 3 biomarkers resulted in a higher likelihood ratio for death or HF than models restricted to any 2 of these biomarkers. CONCLUSION IL-6, MCP-1, and NT-proBNP are independent predictors of long-term risk of death or HF, highlighting the importance of identifying leukocyte activation and recruitment in ACS patients.
Understanding the Other Through Social Roles

Inductive game theory has been developed to explore the origin of beliefs of a person from his accumulated experiences of a game situation. It has been restricted to a person's view of the structure not including another person's thoughts. In this paper, we explore the experiential origin of one's view of the other's beliefs about the game situation, especially about the other's payoffs. We restrict our exploration to a 2-role (strategic) game, which has been recurrently played by two people with occasional role-switching. Each person accumulates experiences of both roles, and these experiences become the source for his transpersonal view about the other. Reciprocity in the sense of role-switching is crucial for deriving his own and the other's beliefs. We also consider how a person can use these views for his behavior revision, and we define an equilibrium called an intrapersonal coordination equilibrium. Based on this, we show that cooperation will emerge as the degree of reciprocity increases.
Challenges in the Design of a T Cell Vaccine in the Context of HIV-1 Diversity

The extraordinary variability of HIV-1 poses a major obstacle to vaccine development. The effectiveness of a vaccine is likely to vary dramatically in different populations infected with different HIV-1 subtypes, unless innovative vaccine immunogens are developed to protect against the range of HIV-1 diversity. Immunogen design for stimulating neutralizing antibody responses focuses on “breadth” – the targeting of a handful of highly conserved neutralizing determinants on the HIV-1 Envelope protein that can recognize the majority of viruses across all HIV-1 subtypes. An effective vaccine will likely require the generation of both broadly cross-neutralizing antibodies and non-neutralizing antibodies, as well as broadly cross-reactive T cells. Several approaches have been taken to design such broadly-reactive and cross-protective T cell immunogens. Artificial sequences have been designed that reduce the genetic distance between a vaccine strain and contemporary circulating viruses; “mosaic” immunogens extend this concept to contain multiple potential T cell epitope (PTE) variants; and further efforts attempt to focus T cell immunity on highly conserved regions of the HIV-1 genome. Thus far, a number of pre-clinical and early clinical studies have been performed assessing these new immunogens. In this review, the potential use of these new immunogens is explored.
Cardiac autonomic neuropathy predicts cardiovascular morbidity and mortality in type 1 diabetic patients with diabetic nephropathy.

OBJECTIVE Cardiac autonomic neuropathy (CAN) has been associated with a poor prognosis in patients with diabetes. Because CAN is common in patients with diabetic nephropathy, we evaluated the predictive value of CAN in type 1 diabetic patients with and without diabetic nephropathy. RESEARCH DESIGN AND METHODS In a prospective observational follow-up study, 197 type 1 diabetic patients with diabetic nephropathy and a matched group of 191 patients with long-standing type 1 diabetes and normoalbuminuria were followed for 10.1 years (range 0.0-10.3 years). At baseline, CAN was assessed by heart rate variation (HRV) during deep breathing. HRV was evaluated as a predictor of the primary end point: cardiovascular morbidity and mortality. As secondary end points, all-cause mortality and the influence of HRV on progression of diabetic nephropathy (decline in glomerular filtration rate [GFR]) was evaluated. RESULTS During the follow-up, 79 patients (40%) with nephropathy reached the combined primary end point vs. 19 patients (10%) with normoalbuminuria (log-rank test, P < 0.0001). The unadjusted hazard ratio (HR) for reaching the primary end point when having an abnormal HRV (< or =10 bpm) measured at baseline compared with a normal HRV was 7.7 (range 1.9-31.5; P = 0.004) in patients with nephropathy. Similarly in the normoalbuminuric patients, the unadjusted HR was 4.4 (1.4-13.6; P = 0.009). In patients with nephropathy, abnormal HRV was significantly associated with fatal and nonfatal cardiovascular disease after adjustment for cardiovascular risk factors. The adjusted HR for reaching the primary end point in a patient with nephropathy and an abnormal HRV was 6.4 (1.5-26.3, P = 0.010), as compared with a normal HRV. The unadjusted HR for dying when having an abnormal HRV compared with a normal HRV was 3.3 (95% CI 1.0-10.7; P = 0.043) in patients with diabetic nephropathy. After adjustment for confounding factors, the impact of HRV on all-cause mortality in patients with nephropathy was no longer significant (P = 0.293). There was no relationship between abnormal HRV and rate of decline in GFR. CONCLUSIONS HRV is an independent risk factor for cardiovascular morbidity and mortality in type 1 diabetic patients with nephropathy.
Automatic Chord Recognition Based on Probabilistic Integration of Chord Transition and Bass Pitch Estimation

This pape rp resent sa method that identifies musical chords in polyphonic musical signals. As musical chords mainly represent the harmony of music and are rela ted to other musical element ss uch as melody and rhythm, the performance of chord recognition should improv ei f this interrelationship is taken into consideration . N evertheless, this interrelationship has not been utilized in the literature as far as the authors are aware . I nt his paper, bass line sa re utilized as clue sf or improving chord recognition becaus et hey can be regarded as an element of the melody. A probabilistic framework is devised to uniformly integrate bass lines extracted by using bass pitch estimation into a hypothesissearch-based chord recognition. To prune the hypothesis space of the search, the hypothesi sr eliability is defined as the weighted su mo f three reliabilities :t he likelihood of Gaussia nM ixture Model sf or the observed features, the joint probability of chord and bass pitch ,a nd the chor dt ransition N-gram probability . E xperimental result ss how that our method recognized the chord sequences of 150 songs in twelve Beatle sa lbums; the average frame-rate accuracy of the result sw as73.4%. Keyword: chord recognition, bass line, hypothesi ss earch, probabilistic integration
Multidisciplinaire richtlijn schizofrenie

Schizofrenie en aan schizofrenie verwante psychotische stoornissen behoren tot de meest invaliderende psychiatrische stoornissen en worden vermoedelijk veroorzaakt door een samenspel van erfelijke factoren en omgevingsfactoren. Deze richtlijn is een herziening van de Multidisciplinaire richtlijn schizofrenie uit 2005. De knelpunten bij het invoeren van effectieve interventies in de praktijk, vormen een belangrijke aanleiding voor de herziening. Sinds 2006 hebben ggz-instellingen in twee doorbraakprojecten ervaringen opgedaan met het invoeren van de richtlijn. Tijdens deze projecten bleek dat de richtlijn van 2005 belangrijke steken laat vallen in een toepasbare uitwerking van aanbevelingen en in de samenhang tussen onderzoeksbevindingen en aanbevelingen. Een tweede, niet minder belangrijke aanleiding vormt de kennis over nieuwe wetenschappelijke inzichten, die kunnen leiden tot wezenlijke aanpassing in de zorg voor mensen met schizofrenie. Zo zijn in deze update diverse effectieve interventies, zoals vaktherapieen, elektroconvulsietherapie, psychotherapie, rehabilitatie en FACT (Functional (functie-) Assertive Community Treatment) herzien. Actueel onderzoek wijst uit dat bij deze interventies gezondheidswinst behaald kan worden, zoals verbetering van sociaal functioneren, informatieverwerking, kennis, domeinvaardigheden, compliance, coping met symptomen, en heropnames. Daarnaast zijn ook conclusies over nieuwe interventies toegevoegd, zoals over transcraniele magnetische stimulatie en hallucinatiegerichte integratieve therapie (HIT). Gezondheidswinst betreft hier afname in ernst en frequentie van hallucinaties, en minder bijwerkingen.
High Reversibility of “Soft” Electrode Materials in All-Solid-State Batteries

All-solid-state batteries using inorganic solid electrolytes (SEs) are considered to be ideal batteries for electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) because they are potentially safer than conventional lithium-ion batteries (LIBs). In addition, all-solid-state batteries are expected to have long battery lives owing to the inhibition of chemical side reactions because only lithium ions move through the typically used inorganic SEs. The development of high-energy (more than 300 Wh kg-1) secondary batteries has been eagerly anticipated for years. The application of high-capacity electrode active materials is essential for fabricating such batteries. Recently, we proposed metal polysulfides as new electrode materials. These materials show higher conductivity and density than sulfur, which is advantageous for fabricating batteries with relatively higher energy density. Lithium niobium sulfides, such as Li3NbS4, have relatively high density, conductivity, and rate capability among metal polysulfide materials, and batteries with these materials have capacities high enough to potentially exceed the gravimetric energy density of conventional LIBs. Favorable solid-solid contact between the electrode and electrolyte particles is a key factor for fabricating high performance all-solid-state batteries. Conventional oxide-based positive electrode materials tend to be given rise to cracks during fabrication and/or charge-discharge processes. Here we report all-solid-state cells using lithium niobium sulfide as a positive electrode material, where favorable solid-solid contact was established by using lithium sulfide electrode materials because of their high processability. Cracks were barely observed in the electrode particles in the all-solid-state cells before or after charging and discharging with a high capacity of approx. 400 mAh g-1, suggesting that the lithium niobium sulfide electrode charged and discharged without experiencing substantial mechanical damage. As a result, the all-solid-state cells retained more than 90% of their initial capacity after 200 cycles of charging and discharging at 0.5 mA cm-2.
Towards Semi-supervised Transcription of Handwritten Historical Weather Reports

This paper addresses the automatic transcription of handwritten documents with a regular tabular structure. A method for extracting machine printed tables from images is proposed, using very little prior knowledge about the document layout. The detected table serves as query for retrieving and fitting a structural template, which is then used to extract handwritten text fields. A semi-supervised learning approach is applied to this fields, aiming at minimizing the human labeling effort for recognizer training. The effectiveness of the proposed approach is demonstrated experimentally on a set of historical weather reports. Compared to using all labels, competitive recognition performance is achieved by labeling only a small fraction of the data, keeping the required human effort very low.
A Wi-Fi P2P communication platform between wireless LAN memory cards: Prototype implementation and performance evaluation

Wi-Fi Peer to Peer (P2P), commercially known as Wi-Fi Direct, is a recent industry standard that allows user devices to communicate with each other without requiring a Wi-Fi access point or Internet connectivity. Offering promising solutions for secure and high-throughput device to device communication over moderately high range, Wi-Fi P2P can potentially revolutionize M2M communication and Internet of Things (IoT) towards an all-connected wireless ecosystem. Secure Digital (SD) memory cards with built-in processing unit and Wireless LAN chipset can serve as a small standalone communication terminal which on installation of a communication protocol stack and a data-sharing application may enable connection establishment and data communication between memory cards. Such architecture may find interesting applications with manifold advantages for device-to-device data sharing in public gatherings without requiring cellular network or WLAN access points. In this paper, we develop an architecture to establish Wi-Fi P2P connection between SD memory cards and enable automatic data sharing by proximity-based device-to-device communication between mobile user equipments. The prototype does not use any of the resources of host device barring power. The key contribution of this paper is the development of a standalone prototype of our proposition on off-the-shelf WLAN SD memory cards and its experimental performance evaluation.
Smart Classrooms for Distance Education and their Adoption to Multiple Classroom Architecture

This paper provides an overview of the technologies used in smart classrooms for distance education by classifying smart classrooms into four categories and discussing the type of technologies used in their implementation. It gives an example of a successful implementation of distance education technology being used to link university campuses in Japan and the US, and describes its underlying architecture and implementation technologies. It examines the methodologies being used to make distance learning an exciting experience and as effective as the traditional classroom type education. Furthermore, the paper shows how a similar architecture can be extended to a model where a single local class can simultaneously cater to the needs of multiple remote classrooms and presents a workable solution to some of the technical challenges that exits in multipoint, multiple classroom architecture. Finally, it shows how some of the inherent challenges of the system are being managed and identifies physical and practical limitations of a multiple classroom architecture for a successful remote lecturing environment.
MESSY AND MISTAKEN SEASONAL TIME SERIES

Measurement outliers and level shifts can be identified from the output of the Kalman filter smoother. Departures from an established seasonal pattern are harder to detect. We describe several state space representations for seasonal processes. These representations each display different aberrant behaviour when shocked. Simple, computationally efficient, statistics are proposed as a means of detecting change points in seasonal series. These statistics are also effective in finding anomalies caused by mistakes in data entry. Examples are given including a discussion of the UK new car registration series.
Aurora kinase-mTOR signaling in sarcomatoid mRCC 1 RNA-seq Reveals Aurora Kinase Driven-mTOR Pathway Activation in Patients with Sarcomatoid Metastatic Renal Cell Carcinoma

Department of Medical Oncology & Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Duarte, CA Department of Molecular Pharmacology, City of Hope Comprehensive Cancer Center, Duarte, CA Department of Pathology, City of Hope Comprehensive Cancer Center, Duarte, CA Department of Biostatistics, City of Hope Comprehensive Cancer Center, Duarte, CA Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA Functional Genomics, City of Hope Comprehensive Cancer Center, Duarte, CA Department of Pathology, Dana Farber Cancer Center, Boston, MA Department of Medical Oncology, Dana Farber Cancer Center, Boston, MA Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX
A Kronecker-factored approximate Fisher matrix for convolution layers

For modern large-scale vision applications, it’s necessary to implement conv nets efficiently for a GPU (or some other massively parallel computing architecture). We provide a very brief overview of the low-level efficiency issues which are relevant to K-FAC. We base our discussion on the Toronto Deep Learning ConvNet (TDLCN) package (Srivastava, 2015), whose convolution kernels we use in our experiments. Like many modern implementations, this implementation follows the approach of Chellapilla et al. (2006), which reduces the convolution operations to large matrix-vector products in order to exploit memory locality and efficient parallel BLAS operators. We describe the implementation explicitly, as it is important that our proposed algorithm be efficient using the same memory layout (shuffling operations are extremely expensive). As a bonus, these vectorized operations provide a convenient high-level notation which we will use throughout the paper.