Miracle-dz/UniFAR-FTUs huggingface dataset:
A Randomized Controlled Trial of Cognitive Behavioral Therapy for Adherence and Depression (CBT-AD) in Patients With Uncontrolled Type 2 Diabetes

OBJECTIVE To test cognitive behavioral therapy for adherence and depression (CBT-AD) in type 2 diabetes. We hypothesized that CBT-AD would improve adherence; depression; and, secondarily, hemoglobin A1c (A1C). RESEARCH DESIGN AND METHODS Eighty-seven adults with unipolar depression and uncontrolled type 2 diabetes received enhanced treatment as usual (ETAU), including medication adherence, self-monitoring of blood glucose (SMBG), and lifestyle counseling; a provider letter documented psychiatric diagnoses. Those randomized to the intervention arm also received 9–11 sessions of CBT-AD. RESULTS Immediately after acute treatment (4 months), adjusting for baseline, CBT-AD had 20.7 percentage points greater oral medication adherence on electronic pill cap (95% CI −31.14 to −10.22, P = 0.000); 30.2 percentage points greater SMBG adherence through glucometer downloads (95% CI −42.95 to −17.37, P = 0.000); 6.44 points lower depression scores on the Montgomery-Asberg Depression Rating Scale (95% CI 2.33–10.56, P = 0.002); 0.74 points lower on the Clinical Global Impression (95% CI 0.16–1.32, P = 0.01); and 0.72 units lower A1C (95% CI 0.29–1.15, P = 0.001) relative to ETAU. Analyses of 4-, 8-, and 12-month follow-up time points indicated that CBT-AD maintained 16.3 percentage points higher medication adherence (95% CI −26.1 to −6.5, P = 0.001); 22.3 percentage points greater SMBG adherence (95% CI −36.1 to −8.6, P = 0.002); and 0.63 units lower A1C (95% CI 0.06–1.2, P = 0.03) after acute treatment ended. For depression, there was some evidence of continued improvement posttreatment, but no between-group differences. CONCLUSIONS CBT-AD is an effective intervention for adherence, depression, and glycemic control, with enduring and clinically meaningful benefits for diabetes self-management and glycemic control in adults with type 2 diabetes and depression.
An Analysis and Modeling Framework for Personalized Interaction

Personalization has been discussed in a number of domains and it also plays an important role in the area of human-computer interaction as users' interaction abilities and preferences vary drastically. Considering these individual characteristics can contribute to better user experience and also accessibility of interactive settings. This extended abstract describes a framework that enables personalized interaction based on analyzing and modeling users' interaction abilities.
Individual Differences in Dynamic Multitasking Performance

The current study examined whether individual differences in memory, attention, and visuospatial ability are significant predictors of multitasking ability (multitasking performance baseline level) and multitasking adaptability (the capacity to adapt to dynamic changes in task demands). Participants were administered a neuropsychological battery to measure individual differences in cognitive abilities. Then, participants performed the Multi-Attribute Task Battery-II (MATB) comprising of three workload conditions. Results indicated that participants scoring higher on measures of attention performed better on the MATB during the baseline condition (ability). However, higher scores on measures of delayed memory predicted better performance during more demanding MATB conditions (adaptability), while visuospatial ability predicted worsened performance during more demanding MATB conditions. Additionally, higher global neuropsychological functioning predicted better MATB performance during all conditions.
Spectral–age interactions in managed, even‐aged Eucalyptus plantations: application of discriminant analysis and classification and regression trees approaches to hyperspectral data

The objective of this research was to evaluate species discrimination and specific age interactions in managed, homogeneous, even‐aged Eucalyptus and Acacia plantations (4–11 years old) in KwaZulu‐Natal, South Africa using hyperspectral data. CASI (36 bands; 426–952 nm spectral range; 1 m spatial resolution) radiance data from the spring (October) of 2004 were used to (i) discriminate between Eucalyptus and Acacia species and (ii) differentiate among age classes of the same species. Description of the nature of differences among various species and the spectral variability found in monoculture, even‐aged forest stands were of particular interest. Implications of this research relate to the use and interpretation of accepted forest state indicators, and the possible effect of age–site interactions on indicator outcomes. A secondary objective was to compare stepwise discriminant (variable reduction) analysis, followed by discriminant classification, to a classification and regression tree (CART) approach for both radiance and transformed minimum noise fraction (MNF) data. Results for discrimination accuracies using (MNF) transformed data were as high as 85% and 97% for between species and between‐species‐within‐age group (7–11 years) classifications, respectively. These results underlined the potential of spectral data of reduced dimensionality to be used in a Eucalyptus forest inventory context.
Modeling dioxygenase enzyme kinetics in familial paraganglioma

ABSTRACT Hypoxia inducible factors (HIFs) play vital roles in cellular maintenance of oxygen homeostasis. These transcription factors are responsible for the expression of genes involved in angiogenesis, metabolism, and cell proliferation. Here, we generate a detailed mathematical model for the enzyme kinetics of α-ketoglutarate-dependent HIF prolyl 4-hydroxylase domain (PHD) dioxygenases to simulate our in vitro data showing synergistic PHD inhibition by succinate and hypoxia in experimental models of succinate dehydrogenase loss, which phenocopy familial paraganglioma. Our mathematical model confirms the inhibitory synergy of succinate and hypoxia under physiologically-relevant conditions. In agreement with our experimental data, the model predicts that HIF1α is not stabilized under atmospheric oxygen concentrations, as observed. Further, the model confirms that addition of α-ketoglutarate can reverse PHD inhibition by succinate and hypoxia in SDH-deficient cells.
A comparison of search engine using “tag title and abstract” with CiteULike — An initial evaluation

At present, the performance and capabilities of web search engine are vital. Most researchers use search engines for research papers related to their topics of interest. This paper demonstrates the initial comparison search results between a search engine using the indexing method of “tag title and abstract” and the native CiteUlike engine. The retrieval performance of these two search engines are evaluated using mean values of Normalized Discount Cumulative Gain (NDCG). The results illustrate that the search engine with indexer using “tag, title, and abstract” provides better search results as compared to CiteUlike, particularly for those documents in the first two rank which would be considered as the most relevant documents. This primary evaluation in the experiments implies that the chosen heuristic indexer may improve the efficiency of web resource searching on social bookmarking websites.
A survey of radiographers' confidence and self-perceived accuracy in frontline image interpretation and their continuing educational preferences

The provision of a written comment on traumatic abnormalities of the musculoskeletal system detected by radiographers can assist referrers and may improve patient management, but the practice has not been widely adopted outside the United Kingdom. The purpose of this study was to investigate Australian radiographers' perceptions of their readiness for practice in a radiographer commenting system and their educational preferences in relation to two different delivery formats of image interpretation education, intensive and non‐intensive.
Early IFN-Gamma Production after YF 17D Vaccine Virus Immunization in Mice and Its Association with Adaptive Immune Responses

Yellow Fever vaccine is one of the most efficacious human vaccines ever made. The vaccine (YF 17D) virus induces polyvalent immune responses, with a mixed TH1/TH2 CD4+ cell profile, which results in robust T CD8+ responses and high titers of neutralizing antibody. In recent years, it has been suggested that early events after yellow fever vaccination are crucial to the development of adequate acquired immunity. We have previously shown that primary immunization of humans and monkeys with YF 17D virus vaccine resulted in the early synthesis of IFN-γ. Herein we have demonstrated, for the first time that early IFN-γ production after yellow fever vaccination is a feature also of murine infection and is much more pronounced in the C57BL/6 strain compared to the BALB/c strain. Likewise, in C57BL/6 strain, we have observed the highest CD8+ T cells responses as well as higher titers of neutralizing antibodies and total anti-YF IgG. Regardless of this intense IFN-γ response in mice, it was not possible to see higher titers of IgG2a in relation to IgG1 in both mice lineages. However, IgG2a titers were positively correlated to neutralizing antibodies levels, pointing to an important role of IFN-γ in eliciting high quality responses against YF 17D, therefore influencing the immunogenicity of this vaccine.
Evapotranspiration: A process driving mass transport and energy exchange in the soil‐plant‐atmosphere‐climate system

The role of evapotranspiration (ET) in the global, continental, regional, and local water cycles is reviewed. Elevated atmospheric CO2, air temperature, vapor pressure deficit (D), turbulent transport, radiative transfer, and reduced soil moisture all impact biotic and abiotic processes controlling ET that must be extrapolated to large scales. Suggesting a blueprint to achieve this link is the main compass of this review. Leaf‐scale transpiration (fe) as governed by the plant biochemical demand for CO2 is first considered. When this biochemical demand is combined with mass transfer formulations, the problem remains mathematically intractable, requiring additional assumptions. A mathematical “closure” that assumes stomatal aperture is autonomously regulated so as to maximize the leaf carbon gain while minimizing water loss is proposed, which leads to analytical expressions for leaf‐scale transpiration. This formulation predicts well the effects of elevated atmospheric CO2 and increases in D on fe. The case of soil moisture stress is then considered using extensive gas exchange measurements collected in drought studies. Upscaling the fe to the canopy is then discussed at multiple time scales. The impact of limited soil water availability within the rooting zone on the upscaled ET as well as some plant strategies to cope with prolonged soil moisture stress are briefly presented. Moving further up in direction and scale, the soil‐plant system is then embedded within the atmospheric boundary layer, where the influence of soil moisture on rainfall is outlined. The review concludes by discussing outstanding challenges and how to tackle them by means of novel theoretical, numerical, and experimental approaches.
An XMM—Newton observation of the nova-like variable UX UMa: spatially and spectrally resolved two-component X-ray emission

In the optical and ultraviolet regions of the electromagnetic spectrum, UX Ursae Majoris is a deeply eclipsing cataclysmic variable. However, no soft X-ray eclipse was detected in ROSAT observations. We have obtained a 38 ksec XMM–Newton observation to constrain further the origin of the X-rays. The combination of spectral and timing information allows us to identify two components in the X-ray emission of the system. The soft component, dominant below photon energies of 2 keV, can be fitted with a multitemperature plasma model and is uneclipsed. The hard component, dominant above 3 keV, can be fitted with a kT∼ 5 keV plasma model and appears to be deeply eclipsed. We suggest that the most likely source of the hard X-ray emission in UX UMa, and other systems in high mass transfer states, is the boundary layer.
Serum Levels of Brain-Derived Neurotrophic Factor at 4 Weeks and Response to Treatment with SSRIs

Objective It is important to predict a response to an antidepressant in early time after starting the antidepressant. We previously reported that serum brain-derived neurotrophic factor (BDNF) levels in responders to treatment with antidepressants were increased, whereas, those in nonresponders were not. Therefore, we hypothesized that the changes in serum levels of BDNF from baseline (T0) to 4 weeks (T4) after treatment with selective serotonin reuptake inhibitors (SSRIs) predict the response to the treatment at 8 weeks (T8) in depressed patients. To confirm the hypothesis, we measured serum BDNF at T0, T4, and T8 during the treatment with SSRIs (paroxetine, sertraline, and fluvoxamine). Methods One hundred fifty patients (M/F; 51/99, age; 50.4±15.1 years) met major depressive disorder (MDD) using by DSM-IV-TR enrolled in the present study. We measured serum BDNF concentrations at T0, T4, and T8 in patients with MDD treated with SSRIs. Results The changes in serum BDNF, age, sex, dose of SSRIs, and HAMD-17 score did not predict the response to SSRIs at T8. Conclusion These results suggest that the changes in serum BDNF levels from T0 to T4 could not predict the subsequent responses to SSRIs at T8.
Omnidirectional Depth Computation from a Single Image

Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications.
The impact of follower narcissism and LMX perceptions on feeling envied and job performance

Abstract Feeling envied is often an unfortunate consequence of excelling at one’s job. Despite much evidence that envied employees are the targets of resentment and hostility, little is known regarding the antecedents and consequences of feeling envied in the workplace. The current study addresses (1) the effect of employee narcissism on feeling envied, (2) the interactive effect of narcissism and leader-member-exchange (LMX) on feeling envied, and (3) the relationship between feeling envied and performance. Hypotheses were tested using a sample of 20 locations of a restaurant chain (N = 184) and were supported. Specifically, narcissism positively affects feeling envied, which in turn negatively affects performance. Simple slopes analyses indicate that high narcissism and high LMX result in the highest levels of feeling envied while low narcissism and high LMX result in the lowest levels of feeling envied.
Mixed-integer programming for optimal path planning of robotic manipulators

One of the fundamental problems in the field of robotic motion planning is to safely and efficiently drive the end effector of a robotic manipulator to a specified goal position. Here, safety refers to the requirement that the robotic manipulator must have no collision with surrounding obstacles, and efficiency requires that some predefined cost function is minimized. In addition, kinematic and dynamic constraints have to be satisfied. These requirements lead to non-convex optimization problems, which may be approximated by mixed-integer linear programs (MILPs). The solution of the latter, however, is often intolerably complex due to a huge number of binary decision variables. In the present paper, we consider motion planning scenarios with polyhedral obstacles and velocity constraints for the joint positions of the robotic manipulator. We provide a geometric result whose application leads to MILPs with drastically reduced numbers of binary decision variables. Computational efficiency is demonstrated for two- and three-link manipulators interacting with obstacles, where the number of simplex steps during the MILP solution is reduced by a factor of roughly 200 over previous methods. We also demonstrate the application of the proposed method to an industrial robot.
Mode Mixing and Power Di usion inMultimode Optical

| Mode coupling and power diiusion in multi-mode optical bers is considered. In particular, the mechanisms responsible for the coupling are investigated and their characteristic lengthscales explored. An appropriate local coordinate system is introduced in which arbitrary curvatures may be considered. Through an asymptotic analysis, the mode coupling equations are shown to reduce to a non-constant coeecient diiusive equation for the power coupling. This power coupling is shown to be strongly driven by the degenerate mode structure of the multimode ber.
Moderating Effects of Environmental Uncertainty on Supply Chain Integration and Product Quality: An Empirical Study of Thai Automotive Industry

Although effective and efficient supply chain management requires integrated business processes that go beyond purchasing and logistics activities, some doubts are expressed concerning the applicability of supply chain integration practices. Specifically, a careful literature search reveals that no studies have included the effect of environmental uncertainty on the relationship between sup- ply chain integration and product quality. This study, therefore, represents an attempt to provide the contribution in the field by developing a model to explore the relationships and to fulfill the gap between the literature on supply chain integration and environmental uncertainty. The findings indi- cate that the effects of supply chain integration on product quality are moderated by environmental uncertainty as demonstrated by Chow tests. The results also provide managerial insights about envi- ronmental uncertainty-supply chain integration practices connection.
Modularity, flexibility, and knowledge management in product and organization design

This pczper investigcztes irzterrelationslzi~~s of product design, orgcznization design, processes for leartlirzg and managing knowledge, arzd competitive strategy. This paper uses the principles of nearly decotnposable systems to investigate the ability of strind(irdized interfcices between components in cz product design to embed coordination of product development processes. Embedded coordination creates 'hierczrchical coordination' without the need to continually exercise authority-erzcrblirlg effective coordination of processes without the tight coupling of orgcznizationczl structures. We develop concepts of modularity in product and organization designs based orz smndcirdized component and organization interjczces. Modular product architec- tures create information structures that provide the 'glue' that holds together the loosely coupled parts of a modular orgatzizatiorz design. By fczcilitriting loose coupling, modularity can czlso reduce the cost and dyficulty of adaptive coordination, thereby incrensing the strategic flexibility of firms to respond to erzvironmentnl change. Modularity in product and organizcztion designs therefore etznbles cz new strcitegic approach to the management of knowledge based on cztz irztentionczl, carefully mcznaged loose coupling of (I firm's learning processes czt architec- tural cznd comporzent levels of product crecztiorz processes.
Prevalence of Antenatal Depression and Associated Risk Factors among Pregnant Women Attending Antenatal Clinics in Abeokuta North Local Government Area, Nigeria

Objective. The prevalence of antenatal depression (AD) and associated risk factors among pregnant women attending antenatal clinics in Abeokuta North Local Government Area, Nigeria, was determined. Methods. A descriptive cross-sectional survey was conducted, interviewing 314 pregnant women selected by multistage sampling technique from among those attending antenatal clinics. Information was collected using structured questionnaire and a screening tool, Edinburgh Postnatal Depression Scale (EPDS), to assess probable depression. Results. The prevalence of antenatal depression was 24.5%. There were significant associations between antenatal depression and attending public health facility (P = 0.000), young maternal age (P = 0.012), single marital status (P = 0.010), not having formal education (P = 0.022), large family size (P = 0.029), planned pregnancy (P = 0.014), coexisting medical conditions (P = 0.034), history of previous caesarian section (P = 0.032), drinking alcohol during pregnancy (P = 0.004), and gender based abuse (P = 0.001). On health seeking behaviour for antenatal depression among depressed pregnant women, most, 68.9%, consulted their husbands about their symptoms; 57.3% took the decision to get treatment from doctors, and 52% sought prayer in the church. Conclusion. Antenatal depression is prevalent in this study population. Interventions to address its risk factors should be carried out and physicians should suspect depression in pregnant women reporting alcohol use and gender abuse.
Filling the Gaps of Development Logs and Bug Issue Data

It has been suggested that the data from bug repositories is not always in sync or complete compared to the logs detailing the actions of developers on source code. In this paper, we trace two sources of information relative to software bugs: the change logs of the actions of developers and the issues reported as bugs. The aim is to identify and quantify the discrepancies between the two sources in recording and storing the developer logs relative to bugs. Focussing on the databases produced by two mining software repository tools, CVSAnalY and Bicho, we use part of the SZZ algorithm to identify bugs and to compare how the "defects-fixing changes" are recorded in the two databases. We use a working example to show how to do so. The results indicate that there is a significant amount of information, not in sync when tracing bugs in the two databases. We, therefore, propose an automatic approach to re-align the two databases, so that the collected information is mirrored and in sync.
Patient selection and targeted treatment in the management of platinum-resistant ovarian cancer

Ovarian cancer (OC) has the highest mortality rate of any gynecologic cancer, and patients generally have a poor prognosis due to high chemotherapy resistance and late stage disease diagnosis. Platinum-resistant OC can be treated with cytotoxic chemotherapy such as paclitaxel, topotecan, pegylated liposomal doxorubicin, and gemcitabine, but many patients eventually relapse upon treatment. Fortunately, there are currently a number of targeted therapies in development for these patients who have shown promising results in recent clinical trials. These treatments often target the vascular endothelial growth factor pathway (eg, bevacizumab and aflibercept), DNA repair mechanisms (eg, iniparib and olaparib), or they are directed against folate related pathways (eg, pemetrexed, farletuzumab, and vintafolide). As many targeted therapies are only effective in a subset of patients, there is an increasing need for the identification of response predictive biomarkers. Selecting the right patients through biomarker screening will help tailor therapy to patients and decrease superfluous treatment to those who are biomarker negative; this approach should lead to improved clinical results and decreased toxicities. In this review the current targeted therapies used for treating platinum-resistant OC are discussed. Furthermore, use of prognostic and response predictive biomarkers to define OC patient populations that may benefit from specific targeted therapies is also highlighted.