Miracle-dz/UniFAR-FTUs huggingface dataset:
Moxibustion upregulates hippocampal progranulin expression

In China, moxibustion is reported to be useful and has few side effects for chronic fatigue syndrome, but its mechanisms are largely unknown. More recently, the focus has been on the wealth of information supporting stress as a factor in chronic fatigue syndrome, and largely concerns dysregulation in the stress-related hypothalamic-pituitary-adrenal axis. In the present study, we aimed to determine the effect of moxibustion on behavioral symptoms in chronic fatigue syndrome rats and examine possible mechanisms. Rats were subjected to a combination of chronic restraint stress and forced swimming to induce chronic fatigue syndrome. The acupoints Guanyuan (CV4) and Zusanli (ST36, bilateral) were simultaneously administered moxibustion. Untreated chronic fatigue syndrome rats and normal rats were used as controls. Results from the forced swimming test, open field test, tail suspension test, real-time PCR, enzyme-linked immunosorbent assay, and western blot assay showed that moxibustion treatment decreased mRNA expression of corticotropin-releasing hormone in the hypothalamus, and adrenocorticotropic hormone and corticosterone levels in plasma, and markedly increased progranulin mRNA and protein expression in the hippocampus. These findings suggest that moxibustion may relieve the behavioral symptoms of chronic fatigue syndrome, at least in part, by modulating the hypothalamic-pituitary-adrenal axis and upregulating hippocampal progranulin.
CAM in Psychiatry

In western countries, the 19th century marks a turning point for the beginning of psychiatry as an academic discipline. Since this happened and psychiatry had left the asylums at the boundaries not only of cities but medicine itself, we can find quite a row of examples concerning integration [1]. Psychiatry has integrated many treatments into the therapeutic spectrum, for example, tricyclic antidepressants, SSRI, relaxation techniques like progressive muscle-relaxation or hypnosis, cognitive-behavioural, psychoanalytic, or systemic psychotherapy, even acupuncture according to the protocol of the National Acupuncture Detoxification Association (NADA) [2, 3] or lately mindfulness-based cognitive therapy [4]. However, three aspects seem suitable to understand the openness of psychiatry for new methods: (a) the fact that since decades, professional multidisciplinarity in psychiatry is a crucial basis for the inand outpatient treatment (e.g., psycho-, ergo-, music-, physiotherapists, nutritionists, and social workers), (b) psychiatrists today need to have a double qualification in psychiatry and psychotherapy to be able to work according to (c), Engel’s biopsychosocial model, which had been adopted as a solid basis for the previously mentioned.
Adaptive Natural Language Interaction

The subject of this demonstration is natural language interaction, focusing on adaptivity and profiling of the dialogue management and the generated output (text and speech). These are demonstrated in a museum guide use-case, operating in a simulated environment. The main technical innovations presented are the profiling model, the dialogue and action management system, and the text generation and speech synthesis systems.
Deformable geometry model matching by topological and geometric signatures

In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we propose "bi-directional LSD analysis" to locate reliable topological points and rings. Second, based on these points and rings, sets of bounded regions are extracted as topological features. Third, for each bounded region, we capture additional spatial location, curvature and area distribution as geometric data. Fourth, to model the topological importance of each bounded region, we capture its effective area as weight. By using "earth mover distance" as a distance measure between two models, our method can achieve a high accuracy in our retrieval experiment, with precision of 0.53 even at recall rate of 1.0.
An investigation into the use and limitations of different spatial integration schemes and finite element software in head impact analyses

To understand the mechanopathogenesis of brain lesions, finite element (FE) head models are used. There is a broad range of material properties, contact interfaces and integration schemes used for the different parts in current FE head models. The effect of material behaviour and contact definitions on a head impact analysis is reported in the literature, whereas the effect of FE integration schemes is a rather unexplored domain. This paper starts with the development of a simplified head model to which small adaptations are made in the integration scheme to obtain multiple analyses that are compared using an accident reconstruction. The performed study highlighted potential hazards of different integration schemes and the significant effect they have on the simulated mechanical responses of the head. Based on a comparison between FE softwares using an impact test and patch test, it was seen that also the software could have an effect on the FE analysis results.
Exploring and Summarizing Document Colletions with Multiple Coordinated Views

Knowledge work such as summarizing related research in preparation for writing, typically requires the extraction of useful information from scientific literature. Nowadays the primary source of information for researchers comes from electronic documents available on the Web, accessible through general and academic search engines such as Google Scholar or IEEE Xplore. Yet, the vast amount of resources makes retrieving only the most relevant results a difficult task. As a consequence, researchers are often confronted with loads of low-quality or irrelevant content. To address this issue we introduce a novel system, which combines a rich, interactive Web-based user interface and different visualization approaches. This system enables researchers to identify key phrases matching current information needs and spot potentially relevant literature within hierarchical document collections. The chosen context was the collection and summarization of related work in preparation for scientific writing, thus the system supports features such as bibliography and citation management, document metadata extraction and a text editor. This paper introduces the design rationale and components of the PaperViz. Moreover, we report the insights gathered in a formative design study addressing usability.
The Benefits From TAVI: Mortality and beyond

The major advancement in the care of many patients with aortic stenosis is now evident by the use of new transcatheter aortic valve implantation (TAVI) technologies. As we await the results of randomized trials to have a better understanding of the comparative effectiveness and safety of TAVI, single center studies continue to add observations that are important. In this issue of CCI, Buxton and coworkers from the United Kingdom report on their experience with the CoreValve approach to TAVI and show a mortality benefit when compared to a medically managed group representing patients turned down from TAVI [1]. While it is easy to argue that the two groups were not equal and that randomization is the only way to compare these different management strategies, the mortality data are compelling. The indication that balloon valvuloplasty may also improve survival in the medical group turned down from TAVI is also interesting but does run against previous data. The mortality impact, if present, would be expected to be transient and small due to the incomplete relief of obstruction and transient nature of the small hemodynamic benefit from balloon valvuloplasty. Assessing the outcome of TAVI is one of the most important topics in interventional cardiology today. This assessment must go beyond mortality to functional and quality of life measures because of the patient population being treated is often elderly, the goals of therapy are more than mortality, and the decision making by providers and patients has many unique aspects [2]. It needs to include an assessment of both physical and mental quality of life. Patients undergoing TAVI will in the near term continue to be those with multiple comorbidities and it is possible that some may have a successful TAVI, but then not be significantly more functional and may not feel that improved, if at all, when the burden of these other disabilities and diseases continue to be present. For example, for the patient receiving TAVI because they were deemed to have such severe lung and renal disease for surgical aortic valve replacement, it is not clear that they will be less short of breath and more energetic when only the aortic stenosis is treated. What are some of the additional measures that can be applied to assessing the impact of TAVI on patients with severe aortic stenosis? Table I provides a list and references to some of the functional assessments and quality of life surveys that can be incorporated into a practice and into clinical trials. Much progress has been made in measuring surgical risks in aortic stenosis, but much more needs to be done in guiding patient selection, predicting those most and least likely to benefit, and in designing unique recovery and rehabilitation approaches to use TAVI wisely. TABLE I. Measures of Functional State and Quality of Life
Investigating the relationships between autobiographical remembering, the self and posttraumatic stress disorder in individuals with HIV

A bidirectional relationship is proposed between the self and memory whereby autobiographical memories develop, express and maintain the self and the self implements control over autobiographical remembering (Conway, 2005). The objective of this study was to investigate the relationships between self-concept, autobiographical remembering and posttraumatic stress disorder symptoms (PTSD) in individuals with HIV living in Iran. Participants were individuals with HIV (n = 61) and healthy nontrauma-exposed controls (n = 59). Participants completed Farsi versions of the Autobiographical Memory Test, Autobiographical Memory Interview, the “I AM” task and the Impact of Event–Revised. It was found that the HIV group provided fewer specific memories, had reduced semantic and episodic recall and provided fewer self-statements than the control group. Reduced autobiographical memory specificity was significantly correlated with recalling fewer self-statements and deficits in episodic memory mediated the relationship between group and fewer self-statements provided. Finally, proportion of HIV-themed self-statements correlated significantly with reduced memory specificity when age and education were included as covariates. The findings are discussed in regards to current psychological models of self and memory.
CAF-Secreted IGFBPs Regulate Breast Cancer Cell Anoikis

Carcinoma-associated fibroblasts (CAFs) are now widely appreciated for their contributions to tumor progression. However, the ability of CAFs to regulate anoikis, detachment-induced cell death, has yet to be investigated. Here, a new role for CAFs in blocking anoikis in multiple cell lines, facilitating luminal filling in three-dimensional cell culture, and promoting anchorage-independent growth is defined. In addition, a novel mechanism underlying anoikis inhibition is discovered. Importantly, it was demonstrated that CAFs secrete elevated quantities of insulin-like growth factor–binding proteins (IGFBPs) that are both necessary for CAF-mediated anoikis inhibition and sufficient to block anoikis in the absence of CAFs. Furthermore, these data reveal a unique antiapoptotic mechanism for IGFBPs: the stabilization of the antiapoptotic protein Mcl-1. In aggregate, these data delineate a novel role for CAFs in promoting cell survival during detachment and unveil an additional mechanism by which the tumor microenvironment contributes to cancer progression. These results also identify IGFBPs as potential targets for the development of novel chemotherapeutics designed to eliminate detached cancer cells. Implications: The ability of CAF-secreted IGFBPs to block anoikis in breast cancer represents a novel target for the development of therapeutics aimed at specifically eliminating extracellular matrix–detached breast cancer cells. Mol Cancer Res; 12(6); 855–66. ©2014 AACR.
Expert Systems With Applications

We are witnessing the clash of two industries and the remaking of in-car market order, as the world of digital knowledge recently made a signiﬁcant move toward the automotive industry. Mobile operating system providers are battling between each other to take over the in-vehicle entertainment and information systems, while car makers either line up behind their technology or try to keep control over the in-car experience. What is at stake is the map content and location-based services, two key enabling technologies of self-driving cars and future automotive safety systems. These content-based augmented geographic information systems (GIS) as well as Advanced Driver Assistance Systems (ADAS) require an accurate, robust, and reliable estimation of road scene attributes. Accurate localization of the vehicle is a challenging and critical task that natural GPS or classical ﬁlter (EKF) cannot reach. This paper proposes a new approach allowing us to give a ﬁrst answer to the issue of accurate lateral positioning. The proposed approach is based on the fusion of 4 types of data: a GPS, a set of INS/odometer sensors, a road marking detection, and an accurate road marking map. The lateral road markings detection is done with the processing of two lateral cameras and provides an assessment of the lateral distance between the vehicle and the road borders. These information coupled with an accurate digital map of the road markings provide an eﬃcient and reliable way to dramatically improve the localization obtained from only classical way (GPS/INS/Odometer). Moreover, the use of the road marking detection can be done only when the conﬁdence is suﬃciently high (punctual use). In fact, the vision processing and the map data can be used punctually only in order to update the classical localization algorithm. The temporary lack of vision data does not affect the quality of lateral positioning. In order to evaluate and validate this approach, a real test scenario was performed on Satory’s test track with real embedded sensors. It shows that the lateral estimation of the ego-vehicle positioning is performed with a sub-decimeter accuracy, high enough to be used in autonomous lane keeping, and land-based mobile mapping.
MultiQC: summarize analysis results for multiple tools and samples in a single report

Motivation: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate these across tools and large sample sets. Assessing analysis results across an entire project can be time consuming and error prone; batch effects and outlier samples can easily be missed in the early stages of analysis. Results: We present MultiQC, a tool to create a single report visualising output from multiple tools across many samples, enabling global trends and biases to be quickly identified. MultiQC can plot data from many common bioinformatics tools and is built to allow easy extension and customization. Availability and implementation: MultiQC is available with an GNU GPLv3 license on GitHub, the Python Package Index and Bioconda. Documentation and example reports are available at http://multiqc.info Contact: phil.ewels@scilifelab.se
Negative Regulation of the Yeast ABC Transporter Ycf1p by Phosphorylation within Its N-terminal Extension*

The yeast vacuolar membrane protein Ycf1p and its mammalian counterpart, MRP1, belong to the ABCC subfamily of ATP-binding cassette (ABC) transporters that rid cells of toxic endogenous and xenobiotic compounds. Like most members of the ABCC subfamily, Ycf1p contains an N-terminal extension in addition to its ABC “core” domain and transports substrates in the form of glutathione conjugates. Ycf1p is subject to complex regulation to ensure its optimal function. Previous studies showed that Ycf1p activity is stimulated by a guanine nucleotide exchange factor, Tus1p, and is positively regulated by phosphorylation in its ABC core domain at residues Ser-908 and Thr-911. Here we provide evidence that phosphorylation of Ser-251 in the Ycf1p N-terminal extension negatively regulates activity. Mutant Ycf1p-S251A exhibits increased resistance to cadmium in vivo and increased Ycf1p-dependent transport of [3H]estradiol-β-17-glucuronide in vitro as compared with wild-type Ycf1p. Activity is restored to the wild-type level for Ycf1-S251E. To identify kinase(s) that negatively regulate Ycf1p function, we conducted an integrated membrane yeast two-hybrid (iMYTH) screen and identified two kinase genes, CKA1 and HAL5, deletion of which increases Ycf1p function. Genetic evidence suggests that Cka1p may regulate Ycf1p function through phosphorylation of Ser-251 either directly or indirectly. Overall, this study provides compelling evidence that negative, as well as positive, regulation of Ycf1p is mediated by phosphorylation.
Predictor's analysis of anterior circulation cerebral infarction after the endovascular treatment of anterior communicating artery aneurysms

Background: Despite increasing acceptance of endovascular coiling for treating anterior communicating artery (ACoA) aneurysms, anterior circulation cerebral infarction (ACI) after embolization remains a limitation. With higher incidence, higher morbidity and higher mortality, it is one of the main factors influencing the ACoA aneurysms prognosis. Determining the risk factors leading to ACI after embolization will have clinical significance. Through retrospective case analysis, this study investigated the risk factors related to ACI after embolization in order to provide information to serve the clinical practice. Materials and Methods: A retrospective review was performed of patients who had undergone coiling of ACoA aneurysms from 2008 to 2012. All patients had ruptured prior to the completion of embolization. Cases with acute stroke symptoms without alternative diagnoses after embolization were diagnosed as ACI. A total of 32 risk factors such as age, sex, hypertension, diabetes mellitus, modified Fisher grade, Hunt-Hess grade, ventricular hemorrhage, etc. were analyzed using univariate and logistic regression analysis. Results: Univariate analysis showed that negative fluid volume balance (P = 0.041 <0.05) and modified Fisher grade (P = 0.049 <0.05) reached statistical significance, suggesting that they might be risk factors for ACI after embolization. Multiple logistic regression analysis showed that modified Fisher grade was significantly associated with ACI after embolization, suggesting that it was an independent risk factor (odds ratios (OR): 4.968, 95% confidence intervals (CI): 1.013-24.360, P = 0.048). Conclusion: Modified Fisher grade is an independent risk factor for ACI after embolization.
Reconfigurable Trusses of Nonlinear Morphing Elements

Reconfigurable mechanisms are capable of changing their behavior during operation and perform different tasks through changes of their configuration. A compliant, multistable, reconfigurable mechanism is introduced which consists of nonlinear morphing elements assembled in a truss-like configuration. These constituent elements are made of composite strips assembled to form a double-helix and exhibit tailorable nonlinear stiffness characteristics, including bistability. The mechanism’s behavior can be tailored by tuning the inherent properties of the helical components, leading to a wide range of responses. This work explores the reconfigurability of the mechanism, based on the ability to change the helical pitch and the resulting stiffness.
RTRO–Coal: Real-Time Resource-Reconciliation and Optimization for Exploitation of Coal Deposits

This contribution presents an innovative and integrated framework for real-time-process reconciliation and optimization (RTRO) in large continuous open pit coal mines. RTRO-Coal is currently developed, validated, tested and implemented as part of a multi-national multi-partner European Union funded R&D project. The key concept is to promote a shift in paradigm from intermittent discontinuous to a continuous process monitoring and quality management system in large scale coal mining operations. The framework is based on a real-time feedback control loop linking online data acquired during extraction rapidly with a sequentially up-datable resource model. The up-to-date model is integrated with a real-time optimization of short-term sequencing and production control decisions. Improved decisions are expected to lead to increased resource-and process efficiency and support a sustainable extraction of natural resources. This contribution introduces to the framework, discusses main building blocks and illustrates the value added by the means of selected examples.
ANALYSIS OF WIND-INDUCED RESPONSE OF A STRATIFIED LAKE BY FULLY-NONLINEAR AND STRONGLY-DISPERSIVE THREE-LAYER MODEL

This study describes the development of a three-layer model based on a fully-nonlinear and strongly-dispersive internal wave model and its application to a stratified lake response. The efficient numerical model for three-layer system is needed to analyze non-linear and non-hydrostatic lake response as a two-layer model often fails to illustrate realistic stratified lake responses. Therefore, this study aims to develop a three-layer model based on the fully-nonlinear and strongly-dispersive internal wave model (the three-layer FSI model). The three-layer FSI model was verified by simulating the belt-driven three-layer laboratory experiments by Stevens & Imberger (1996). The present model well predicts the measured results of the experiments and supports the classification by the Wedderburn number and Csanady’s theory. The computed results also show the importance of non-hydrostatic pressure on the generation of the internal solitary wave during upwelling process.
Simulation-Based Vehicular Traffic Lights Optimization

A great challenge today in urban areas and dense populated cities is determining an optimal traffic light system that can maximize the number of passing vehicles in a minimum amount of time. In this paper, we have addressed the issue of traffic flow management in urban areas by proposing as a solution a traffic light optimization method. The proposed approach uses the SUMO simulator as a cost-effective solution and a PSO optimization technique for traffic lights cycle program. A series of experimental simulations were performed with different number of vehicles in different time tables. The results obtained shows significant improvements in terms of increasing the number of vehicles that complete the simulation (4,5% to 10,5% of gain) and average journey time necessary for the vehicles to reach their destination (5,37% to 21,53% less time loss).