LLukas22/scidocs huggingface dataset:
Controlled trial of a collaborative primary care team model for patients with diabetes and depression: Rationale and design for a comprehensive evaluation

BACKGROUND
When depression accompanies diabetes, it complicates treatment, portends worse outcomes and increases health care costs. A collaborative care case-management model, previously tested in an urban managed care organization in the US, achieved significant reduction of depressive symptoms, improved diabetes disease control and patient-reported outcomes, and saved money. While impressive, these findings need to be replicated and extended to other healthcare settings. Our objective is to comprehensively evaluate a collaborative care model for comorbid depression and type 2 diabetes within a Canadian primary care setting.


METHODS/DESIGN
We initiated the TeamCare model in four Primary Care Networks in Northern Alberta. The intervention involves a nurse care manager guiding patient-centered care with family physicians and consultant physician specialists to monitor progress and develop tailored care plans. Patients eligible for the intervention will be identified using the Patient Health Questionnaire-9 as a screen for depressive symptoms. Care managers will then guide patients through three phases: 1) improving depressive symptoms, 2) improving blood glucose, blood pressure and cholesterol, and 3) improving lifestyle behaviors. We will employ the RE-AIM framework for a comprehensive and mixed-methods approach to our evaluation. Effectiveness will be assessed using a controlled "on-off" trial design, whereby eligible patients would be alternately enrolled in the TeamCare intervention or usual care on a monthly basis. All patients will be assessed at baseline, 6 and 12 months. Our primary analyses will be based on changes in two outcomes: depressive symptoms, and a multivariable, scaled marginal model for the combined outcome of global disease control (i.e., A1c, systolic blood pressure, LDL cholesterol). Our planned enrolment of 168 patients will provide greater than 80% power to observe clinically important improvements in all measured outcomes. Direct costing of all intervention components and measurement of all health care utilization using linked administrative databases will be used to determine the cost-effectiveness of the intervention relative to usual care.


DISCUSSION
Our comprehensive evaluation will generate evidence to reliability, effectiveness and sustainability of this collaborative care model for patients with chronic diseases and depression.


TRIALS REGISTRATION
Clinicaltrials.gov Identifier: NCT01328639.
Hyperprolactinemia and estimated dopamine D2 receptor occupancy in patients with schizophrenia: Analysis of the CATIE data

BACKGROUND
Large-scale data are still lacking on the relationship between serum prolactin concentration and dopamine D2 receptor occupancy in patients with schizophrenia treated with antipsychotics.


METHODS
The dataset from 481 subjects (risperidone, N = 172, olanzapine, N = 211, and ziprasidone, N = 98) who participated in Phase 1 of the Clinical Antipsychotic Trials in Intervention Effectiveness (CATIE) was used in the present analysis. Dopamine D2 receptor occupancy levels on the day of the measurement of serum prolactin level were estimated from plasma antipsychotic concentrations. A multivariate general linear model was used to examine effects of clinical and demographic characteristics, including estimated D2 occupancy levels, on serum prolactin concentrations. Individual subjects were divided into two groups, stratified by the presence of hyperprolactinemia. To evaluate the performance of this binary classification, sensitivity, specificity, and accuracy of consecutive cut-off points in the D2 occupancy were calculated.


RESULTS
The multivariate general linear model revealed that estimated D2 occupancy levels had significant effects on serum prolactin concentrations while any other variables failed to show significant effects. The cut-off point associated with 0.5 or greater, in both sensitivity and specificity with the greatest accuracy, was 73% (sensitivity, 0.58; specificity, 0.68; accuracy = 0.64) (68-70% for risperidone, 77% for olanzapine, and 55% for ziprasidone.).


CONCLUSION
The threshold for hyperprolactinemia in D2 occupancy may lie somewhat on a lower side of the established therapeutic window with antipsychotics (i.e. 65-80%). This finding highlights the need for the use of the lowest possible dose to avoid this hormonal side effect in the treatment of schizophrenia.
Comparison of Synonym Handling and Bucket Organization Methods

A theoretical description of the access times required in open addressing and external chaining is given. Values are calculated for different record and bucket sizes and load factors, and the corresponding values for the two methods are compared. Practical guidelines for determining bucket sizes and load factors are presented. It is proved that open addressing is almost always superior to external chaining and the optimal bucket size is between 1 and 4.
On Separation for Multiple Access Channels

We examine the issue of separation for multiple access channels. We demonstrate that source-channel separation holds for noisy multiple access channels, when the channel operates over a common finite field. This robustness of separation is predicated on the fact that noise and inputs are independent, and we examine the loss from failure of separation when noise is input dependent.
Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation

The experience of motion sickness in a virtual environment may be measured through pre and postexperiment self-reported questionnaires such as the simulator sickness questionnaire (SSQ). Although research provides converging evidence that users of virtual environments can experience motion sickness, there have been no controlled studies to determine to what extent the user's subjective response is a demand characteristic resulting from pre and posttest measures. In this study, subjects were given either SSQ's both pre and postvirtual environment immersion, or only postimmersion. This technique tested for contrast effects due to demand characteristics in which administration of the questionnaire itself suggested to the participant that the virtual environment may produce motion sickness. Results indicate that reports of motion sickness after immersion in a virtual environment are much greater when both pre and postquestionnaires are given than when only a posttest questionnaire is used. The implications for assessments of motion sickness in virtual environments are discussed
Points of Significance: Visualizing samples with box plots

of quartiles for box plots is a well-established convention: boxes or whiskers should never be used to show the mean, s.d. or s.e.m. As with the division of the box by the median, the whiskers are not necessarily symmetrical (Fig. 1b). The 1.5 multiplier corresponds to approximately ±2.7s (where s is s.d.) and 99.3% coverage of the data for a normal distribution. Outliers beyond the whiskers may be individually plotted. Box plot construction requires a sample of at least n = 5 (preferably larger), although some software does not check for this. For n < 5 we recommend showing the individual data points. Sample size differences can be assessed by scaling the box plot width in proportion to √n (Fig. 1b), the factor by which the precision of the sample’s estimate of population statistics improves as sample size is increased. To assist in judging differences between sample medians, a notch (Fig. 1b) can be used to show the 95% confidence interval (CI) for the median, given by m ± 1.58 × IQR/√n (ref. 1). This is an approximation based on the normal distribution and is accurate in large samples for other distributions. If you suspect the population distribution is not close to normal and your sample size is small, avoid interpreting the interval analytically in the way we have described for CI error bars2. In general, when notches do not overlap, the medians can be judged to differ significantly, but overlap does not rule out a significant difference. For small samples the notch may span a larger interval than the box (Fig. 2). The exact position of box boundaries will be software dependent. First, there is no universally agreedupon method to calculate quartile values, which may be based on simple averaging or linear interpolation. Second, some applications, such as R, use hinges instead of quartiles for box boundaries. The lower and upper hinges are the median of the Points of siGnifiCAnCE
A technical framework for sense-and-respond business management

S. Kapoor K. Bhattacharya S. Buckley P. Chowdhary M. Ettl K. Katircioglu E. Mauch L. Phillips In this paper we present a technical framework that supports sense and respond (SaR), the approach that enables an enterprise to adapt to a rapidly changing business environment. To implement the SaR approach, an enterprise proactively monitors trends and uses effective decision-support tools to help it act in a timely manner. We describe two pilot projects in which we implemented SaR prototypes and applied them to solve business problems. In the first pilot project we helped the IBM Microelectronics Division deploy an automated inventory management system based on our inventory optimization model. In the second pilot project, we helped the IBM Personal Computing Division deploy a SaR system in support of demand/supply conditioning. One of the components of this SaR system is an order trend model that provides early warning of constraints and excesses in the supply chain and helps make demand/supply conditioning more effective. Early results from these projects are encouraging and show that significant gains in profitability are possible.
Compatibility of Orius laevigatus Fieber (Hemiptera: Anthocoridae) with Neoseiulus Amblyseius cucumeris Oudemans (Acari: Phytoseiidae) and Iphiseius Amblyseius) degenerans Berlese (Acari: Phytoseiidae) in the biocontrol of Frankliniella occidentalis Pergande (Thysanoptera: Thripidae)

The compatibility of Orius laevigatus Fieber with Neoseiulus (Amblyseius) cucumeris Oudemans as predators of Frankliniella occidentalis Pergande was assessed in 24 h tests on French bean leaf discs. At varying densities of N. cucumeris and F. occidentalis in the presence of a single female O. laevigatus, it was found that O. laevigatus fed on both other organisms to a similar extent, thus raising questions as to the suitability of this combination of predators in the biocontrol of F. occidentalis. In similar trials assessing the compatibility of O. laevigatus with Iphiseius (Amblyseius) degenerans Berlese, O. laevigatus preyed on F. occidentalis to a greater extent than on I. degenerans. It is hypothesized that O. laevigatus and I. degenerans could be used simultaneously in the biocontrol of F. occidentalis with minimal interference between them.
Direct torque control for dual-three phase induction motor drives

A direct torque control (DTC) strategy for dual-three phase induction motor drives is discussed in this paper. The induction machine has two sets of stator three-phase windings spatially shifted by 30 electrical degrees. The DTC strategy is based on a predictive algorithm and it is implemented in a synchronous reference frame aligned with the machine stator flux vector. The advantages of the discussed control strategy are: constant inverter switching frequency, good transient and steady-state performance and low distortion of machine phase currents respect to direct self control (DSC) and other DTC schemes with variable switching frequency. Experimental results are presented for a 10 kW DTC dual three-phase induction motor drive prototype.
A Randomized Time-Work Optimal Parallel Algorithm for Finding a Minimum Spanning Forest

We present a randomized algorithm to find a minimum spanning forest (MSF) in an undirected graph. With high probability, the algorithm runs in logarithmic time and linear work on an exclusive read exclusive write (EREW) PRAM. This result is optimal w.r.t. both work and parallel time, and is the first provably optimal parallel algorithm for this problem under both measures. We also give a simple, general processor allocation scheme for tree-like computations.
Qualitative Evaluation of Thesaurus-Based Retrieval

This paper reports on a formative evaluation of a prototype thesaurus-based retrieval system, which involved qualitative investigation of user search behaviour. The work is part of the ongoing ‘FACET’ project in collaboration with the National Museum of Science and Industry and its collections database. The main thesaurus employed in the project is the Getty Art and Architecture Thesaurus. The aim of the evaluation is to analyse at a micro level the user’s interaction with interface elements in order to illuminate problems and inform interface design decisions. Data gathered included transcripts of think-aloud sessions, screen capture movie files, user action logs and observator notes. Key incidents from the sessions are analysed and the qualitative methodology is discussed. The evaluation analysis informs design issues concerning the allocation of search functionality to sub-windows, the appropriate role of thesaurus browsing in the search process, the formation of faceted queries and query reformulation. The analysis suggests that, although the prototype interface supports basic level operations, it does not provide nonexpert searchers with sufficient guidance on query structure and when to use the thesaurus. Conclusions are drawn that future work should further support and suggest models of the search process to the user.
An advanced detrending method with application to HRV analysis

An advanced, simple to use, detrending method to be used before heart rate variability analysis (HRV) is presented. The method is based on smoothness priors approach and operates like a time-varying finite-impulse response high-pass filter. The effect of the detrending on time- and frequency-domain analysis of HRV is studied.
Panavi: Recipe Medium with a Sensors-embedded Pan for Domestic Users to Master Professional Culinary Arts

"panavi," a recipe medium, supports cooking experience for domestic users to master professional culinary arts in their kitchens by managing temperature and pan movement properly. Utilizing a sensors-embedded frying pan--providing projected images, LED indications, and vibration--wirelessly connected with a computer system that shows text messages with sounds, the panavi system analyzes sensors' data, recognizes users' conditions, and provides the users with situated instructions. Describing our vision, design process, implementation, and user study that outlines experience of challenging professional cooking, this paper introduces a design framework model of this recipe medium for domestic usage. Throughout revealing the design process--from ideation to the finished research artifact as a whole cooking support system--this research suggests how to design interactive systems responding to human situated actions, for use as daily commodities enriching domestic user experience.
Synchronization of fractional-order chaotic systems

The dynamics of fractional-order systems have attracted increasing attention in recent years. In this paper, the synchronization of two coupled nonlinear fractional order chaotic oscillators is numerically demonstrated using the master-slave synchronization scheme. It is shown that fractional-order chaotic oscillators can be synchronized with appropriate coupling strength.
Delving deeper into the whorl of flower segmentation

We describe an algorithm for automatically segmenting flowers in colour photographs. This is a challenging problem because of the sheer variety of flower classes, the variability within a class and within a particular flower, and the variability of the imaging conditions – lighting, pose, foreshortening, etc. The method couples two models – a colour model for foreground and background, and a light generic shape model for the petal structure. This shape model is tolerant to viewpoint changes and petal deformations, and applicable across many different flower classes. The segmentations are produced using a MRF cost function optimized using graph cuts. We show how the components of the algorithm can be tuned to overcome common segmentation errors, and how performance can be optimized by learning parameters on a training set. The algorithm is evaluated on 13 flower classes and more than 750 examples. Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation. 2009 Elsevier B.V. All rights reserved.
Iterative learning control of bead morphology in Laser Metal Deposition processes

Laser Metal Deposition (LMD) is a layer-based manufacturing process in which a laser and powdered metal are used to create a molten bead that is then traced along a path to create functional parts. The properties of the structure, including shape and material microstructure, are the result of complex interactions between the laser, the powder, the part substrate and other factors. Thus, a control algorithm is needed to accurately produce the designed part. However, feedback control of the process can create phase lag in the resulting control structure, which in turn can create dimensional instability. Additionally, the LMD process has been shown to change with part height or layer number. Taking these issues into account, a feed-forward, adaptive-type controller that changes with each fabricated layer, should be used. This paper first presents a dynamic model for the LMD process that incorporates the dependency of the process on part height. Then, an optimal Iterative Learning Process Control algorithm is presented to regulate the melt pool morphology of a deposited part using layer number as the iteration axis. A simulation study on the LMD process using the designed process controller shows that it is able to achieve good tracking performance.
The case for reflective middleware

It's flexible and reconfigurable yet simple for programmers to use, notably for building dynamic distributed applications operating on the Net.
Tissue advanced glycation end product deposition after kidney transplantation.

BACKGROUND
Tissue advanced glycation end products (AGEs) accumulate in chronic kidney disease (CKD) and are a measure of cumulative metabolic stress. Measurement of tissue AGEs by skin autofluorescence (SAF) correlates well with cardiovascular outcomes in dialysis patients. SAF levels in transplant recipients relative to CKD and dialysis patients have not been previously studied, and the impact of transplantation on SAF levels in dialysis patients is unknown.


METHODS
SAF was measured using an AGE reader in 66 patients who had received a kidney transplant. Values were compared to those obtained in 1,707 patients with CKD stage 3 and in 115 patients on dialysis.


RESULTS
Mean SAF in transplant recipients [2.81 ± 0.64 arbitrary units (AU)] was significantly lower than in patients on haemodialysis (3.73 ± 0.88 AU) and peritoneal dialysis (3.57 ± 0.75 AU; p < 0.001), but was no different from CKD stage 3 (2.79 ± 0.66 AU; p = 0.42). In the transplant group, SAF correlated most strongly with age (r = 0.316). There was no correlation between SAF and estimated glomerular filtration rate or renal replacement therapy vintage. A small cohort of patients with SAF recorded on dialysis and following transplantation showed a drop in SAF over a mean time of 16 months after transplantation.


DISCUSSION
Tissue AGE values in kidney transplant recipients are significantly lower than in patients receiving dialysis and similar to those in patients with CKD stage 3. Our data suggest that transplantation may be associated with a reduction in tissue AGEs, and this might be an important component of the observed reduction in cardiovascular risk in transplant recipients compared to patients on dialysis.
A phase I, dose-escalation study of the Eg5-inhibitor EMD 534085 in patients with advanced solid tumors or lymphoma

Background The kinesin spindle protein Eg5 is involved in mitosis, and its inhibition promotes mitotic arrest. EMD 534085, a potent, reversible Eg5 inhibitor, demonstrated significant preclinical antitumor activity. Methods This first-in-man, single-center, open-label, phase I dose-escalation study (3 + 3 design) investigated EMD 534085 safety, pharmacokinetics and antitumor activity in refractory solid tumors, Hodgkin’s lymphoma, or non-Hodgkin’s lymphoma. EMD 534085 (starting dose 2 mg/m2/day) was administered intravenously every 3 weeks. Doses were escalated in 100 % steps in successive cohorts of 3 patients until grade 2 toxicity occurred, followed by 50 % until the first dose-limiting toxicity (DLT) arose. If <2 of 6 patients experienced a DLT, doses were further increased by 25 %. Dose-escalation was stopped if a DLT occurred in ≥2 of 6 patients. Results Forty-four patients received EMD 534085. Median treatment duration was 43 days (range, 21–337). Thirty-eight patients (86 %) received ≥2 cycles. DLTs were grade 4 neutropenia (1 patient each at 108 and 135 mg/m2/day), and grade 3 acute coronary syndrome with troponin I elevation (1 patient at 135 mg/m2/day). The maximum tolerated dose (MTD) was 108 mg/m2/day. The most common treatment-related adverse events were asthenia (50 %) and neutropenia (32 %). EMD 534085 appeared to have linear pharmacokinetics. Increase in phospho-histone H3 positive cells in paired pre- and on-treatment biopsies showed evidence of target modulation. No complete or partial responses were observed. Best response was stable disease in 23 patients (52 %). Conclusions EMD 534085 appeared to be well tolerated; MTD was 108 mg/m2/day. Preliminary antitumor results suggested limited activity in monotherapy.
Dynamic Coverage in Ad-Hoc Sensor Networks

Ad-hoc networks of sensor nodes are in general semi-permanently deployed. However, the topology of such networks continuously changes over time, due to the power of some sensors wearing out, to new sensors being inserted into the network, or even due to designers moving sensors around during a network re-design phase (for example, in response to a change in the requirements of the network). In this paper, we address the problem of how to dynamically maintain two important measures on the quality of the coverage of a sensor network: the best-case coverage and worst-case coverage distances. We assume that the ratio between upper and lower transmission power of sensors is bounded by a polynomial of n, where n is the number of sensors, and that the motion of mobile sensors can be described as a low-degree polynomial function of time. We maintain a (1 + ε)-approximation on the best-case coverage distance and a ( √ 2 + ε)-approximation on the worst-case coverage distance of the network, for any fixed ε > 0. Our algorithms have amortized or worst-case poly-logarithmic update costs. We are able to efficiently maintain the connectivity of the regions on the plane with respect to the sensor network, by extending the concatenable queue data structure to also serve as a priority queue. In addition, we present an algorithm that finds the shortest maximum support path in time O(n log n).