Miracle-dz/UniFAR-FTUs huggingface dataset:
Sharing our edges : the mindfulness influence on therapist's formulation of insight

This inductive qualitative research study explored therapist’s experiences of using Mindfulness in session with patients. Through 12 semi-structured interviews with therapists who self-identified as Mindfulness practitioners with a psychodynamic orientation, narrative data was gathered on participant’s explicit and implicit uses of Mindfulness within the therapeutic encounter. Major findings revealed that Mindfulness first and foremost attunes the therapist’s attention to the body. Therapist’s awareness of personal bodily sensations then initiated the therapist’s process of understanding disavowed content from the patient. Upon pinpointing the therapist’s own bodily sensation, participants then discussed how tenets of Mindfulness informed their therapeutic presence. Qualities of this presence included a spirit of inquiry and staying with the immediate experience with openness, nonjudgment, and compassion. In addition, findings showed how Mindfulness and Buddhist philosophy informed the therapeutic frame overall through the therapist’s use of language and sense of being with instead of taking away patient suffering. Lastly, this study presents a framework for how therapists can use a Mindfulness practice to aid in the formulation of insight and reminds clinicians that the use of Mindfulness is a deeply personal choice to be used discerningly with clients. SHARING OUR EDGES: THE MINDFULNESS INFLUENCE ON THERAPIST’S FORMULATION OF INSIGHT A project based upon an independent investigation, submitted in partial fulfillment of the requirements for the degree of Master of Social Work. Sonia Hsieh Smith College School for Social Work Northampton, Massachusetts 01063 2015
Path planning algorithm for space manipulator with a minimum energy demand

This paper presents a methodology to plan a global path for the gaits of space manipulators with a minimum total energy demand. Different from conventional approaches, we propose the consideration of the motions composition for a manipulator to plan a path. For the path planning problem, it is first modeled as a Traveling Salesman Problem (TSP) and the optimization goal is to search a path with a minimum energy demand. After that, the individual energy demand of different gaits of a space manipulator is estimated and analyzed. To solve the optimization problem, conventional genetic algorithm (GA) is utilized. To enhance the performance of GA, we design and develop a novel genetic operator, called Planar-NN. It aims to search a solution path with more motion primitives which contribute a lower energy demand. To evaluate the performance of the proposed algorithm, numerous simulations are performed. Results show that it can search a path with the lowest total energy demand.
Ultrasound of malignant cervical lymph nodes

Abstract Malignant lymph nodes in the neck include metastases and lymphoma. Cervical nodal metastases are common in patients with head and neck cancers, and their assessment is important as it affects treatment planning and prognosis. Neck nodes are also a common site of lymphomatous involvement and an accurate diagnosis is essential as its treatment differs from other causes of neck lymphadenopathy. On ultrasound, grey scale sonography helps to evaluate nodal morphology, whilst power Doppler sonography is used to assess the vascular pattern. Grey scale sonographic features that help to identify metastatic and lymphomatous lymph nodes include size, shape and internal architecture (loss of hilar architecture, presence of intranodal necrosis and calcification). Soft tissue oedema and nodal matting are additional grey scale features seen in tuberculous nodes or in nodes that have been previously irradiated. Power Doppler sonography evaluates the vascular pattern of nodes and helps to identify the malignant nodes. In addition, serial monitoring of nodal size and vascularity are useful features in the assessment of treatment response.
2.2. New Technologies to Help People with Disabilities and Elderly People 2.2.2 Speech Processing 2.2.2.1 Introduction and State of the Art

It is well known that speech plays a key role in communication and it explains why humans also want to have speech as a means of communication/interaction with computers. Although human-like speech dialogue with computers is still far off, even with current state-of-the-art technology, the benefits and potential of speech processing are obvious. As will be seen in the next sections, this is especially true in applications for persons with disabilities. Well-known examples are reading machines for blind people, voice control for wheel chairs or speech-based dictation systems for physically impaired computer users.
A Dynamic Learning Model for Categorizing Words Using Frames

1. Introduction Grammatical categories (e.g., noun, verb, and etc) are the building blocks of grammar, as grammars organize abstract linguistic categories rather than individual lexical items. Learning the categories of words is, thus, fundamental to the acquisition of language. Even theories in which learners are endowed with considerable innate linguistic knowledge allow that children need information from the input to map lexical items to grammatical categories. While a number of sources of category information have been proposed (including phonological information, morphological information, and semantic information), one information source that has received considerable attention recently is distributional information from lexical co
Deployment Complexity Versus Performance Efficiency in Mobile Multicast

TheInternethasevolvedfrom a wired infrastructure to a hybridof wiredandwirelessdomains.Asnetworkaccess is nowprovidedwith much of the last mile beinga mobile environment,deliveringrich multimediato mobileusers is nowa necessity . However, despitetheadventof new technology andstandardsfor broadbandwireless,there is still animportantdilemmaoverthechoiceof systemsthateither achievehigh levelsof performanceor offer easierdeployment.Thegoalof thispaperthenis to offer insightinto this issueby examiningthe caseof mediastreamingto mobile users throughthe useof multicast. By specificallyconsidering the debateover networkand applicationlayer multicast,weexaminea spectrumof possiblealternativesand and proposea solution that could be the key to a desired balancebetweendeploymentcomplexity and networkper-
Distribution of Functional Liver Volume in Hepatocellular Carcinoma Patients with Portal Vein Tumor Thrombus in the 1st Branch and Main Trunk Using Single Photon Emission Computed Tomography—Application to Radiation Therapy

Purpose To analyze the distribution of functional liver volume (FLV) in the margin volume (MV) surrounding hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT) before radiation therapy (RT) and to verify the safety of single photon emission computed tomography-based three-dimensional conformal radiotherapy (SPECT-B3DCRT) by exploring the relation of FLV in MV to radiation-induced liver disease (RILD). Methods and Materials Clinical target volume (CTV) included main tumor and PVTT, and planning target volume (PTV) included CTV with a 10 mm margin. MV was defined as PTV–CTV. FLV ratio in MV was calculated as FLV in MV/MV × 100 (%). The two high-dose beams were planned to irradiate FLV as little as possible. Fifty-seven cases of HCC (26/57, 46%; Child–Pugh grade B) with PVTT underwent SPECT-B3DCRT which targeted the CTV to a total dose of 45 Gy/18 fractions. The destructive ratio was defined as radiation induced dysfunctional volume/FLV × 100 (%). Results We observed a significant negative correlation between FLV ratio in MV and CTV (p < 0.001). Three cases with CTVs of 287, 587 and 1184 cm3 experienced transient RILD. The FLV ratio in MV was highest in patients with RILD: nine patients with CTV of 200–300 cm3, three with CTV of 500–600 cm3, and two with CTV of 1100–1200 cm3. The destructive ratio yielded a mean value of 24.2 ± 1.5%. Conclusions Radiation planning that takes into account the distribution of FLV appears to result in the least possible RILD.
Variance Weighted Vector Fitting for Noisy Frequency Responses

This letter presents a modification of the Vector Fitting algorithm to estimate rational models of frequency responses affected by noise, e.g. in the case of measured data. It is based on the use of a least-squares weighting function that contains information about the variance of the data samples used in the macromodeling process. The modification is straightforward and does not increase the computational cost of Vector Fitting, but it significantly improves its convergence and accuracy properties in the presence of noise. The residuals test is used to assess the quality of the estimated model. Numerical results validate the proposed modification.
An architecture for understanding in planning, action, and learning

FLOABN is an integrated architecture for an intelligent agent that brings together planning, execution, learning, spatial reasoning, and the interpretation of instructions in natural language form. The system runs in an environment based on a discrete event simulation that models the temporal extent and sequencing of events and actions. Overall, the goal of this architecture is to facilitate the integration of several capabilities within an intelligent agent. This architecture supports the coordination of high-level mental activities with low-level hand-eye motor routines, with particular emphasis on the role of understanding.
Deployment of neutrosophic technology to retrieve answer for queries posed in natural language

In this paper, we have we have introduced a new intelligent soft-computing method of neutrosophic search with ranks and a new neutrosophic rank sets for neutrosophic relational data model (NRDM). Essentially the data and documents on the Web are heterogeneous; inconsistency is unavoidable in Web mining. Using the presentation and reasoning method of our data model, it is easier to capture imperfect information on the Web which will provide more potentially valued-added information. In Bio-informatics there is a proliferation of data sources. Each research group and each new experimental technique seems to generate yet another source of valuable data. But these data can be incomplete and imprecise, and even inconsistent. We could not simply throw away one data in favor of other data. So now we can represent and extract useful information from these data as a challenge. Thus it is a kind of an intelligent search for match in order to answer imprecise queries of the lay users. Our method, being an intelligent soft-computing method, will support the users to make and find the answers to their queries without iteratively refining them by trial and error. This important issue of closeness cannot be addressed with the crisp mathematics. That is why we have used the Neutrosophic tools. Neutrosophic-search method could be easily incorporated in the existing commercial query languages of DBMS to serve the lay users better. So in this Paper Authors are suggesting NRDM and Rank Sets to solve the imprecise query based on Rank Neutrosophic search which is a combination - Neutrosophic Proximity search and α-Neutrosophic-equality Search.
Association between high-risk HPV types, HLA DRB1* and DQB1* alleles and cervical cancer in British women

Cervical scrapes from 116 British women referred with cervical cancer were tested for the presence of high oncogenic risk human papillomavirus (HPV) genotypes (HPVhr). Ninety-four per cent of the scrapes had one or more of these virus types and 66% were HPV16-positive. HPV18 was more frequent in adenocarcinoma. No evidence was found for an increased cancer risk associated with the HPV16 E6 350G variant. The HLA DRB1* and DQB1* alleles in these women and in 155 women with normal cytology and negative for HPVhrDNA were compared. DQB1*0301 alone (2P = 0.02) and in combination with DRB1*0401 (2P = 0.02) was found to be associated with cervical cancer. This was more marked in cancers positive for HPV types other than HPV16. In contrast, DRB1*1501 alone and in combination with DQB1*0602 was not significantly elevated in cancers overall, but did show some excess in HPV16-positive cancers (2P = 0.05), associated with HPV16-positive cervical cancers. Taking all cancers together, a marginally significant protective effect was found for DQB1*0501 (2P = 0.03) but no protective effect could be seen for DRB1*1301. © 2000 Cancer Research Campaign
Advice-Efficient Prediction with Expert Advice

Advice-efficient prediction with expert advice (in analogy to label-efficient prediction) is a variant of prediction with expert advice game, where on each round of the game we are allowed to ask for advice of a limited number $M$ out of $N$ experts. This setting is especially interesting when asking for advice of every expert on every round is expensive. We present an algorithm for advice-efficient prediction with expert advice that achieves $O(\sqrt{\frac{N}{M}T\ln N})$ regret on $T$ rounds of the game.
A Certificate Management Model for MANET

In order to solve the revocation of the certificate in the MANET, a novel certificate management model with reversible characteristic is proposed in this paper. We present an algorithm to compute the certificate credit with its history value and its transform factor quantitatively and locally. This model also introduces a weight factor to control the impact of different credit value. The certificate revocation and reissue frequency of the mobile nodes is reduced by suspending and retrieving process. Furthermore, an example is provided here to analyze the performance of the model
Assembly and activation of neurotrophic factor receptor complexes

Neurotrophic factors play important roles in the development and function of both neuronal and glial elements of the central and peripheral nervous systems. Their functional diversity is in part based on their ability to interact with alternative complexes of receptor molecules. This review focuses on our current understanding of the mechanisms that govern the assembly and activation of neurotrophic factor receptor complexes. The realization that many, if not the majority, of these complexes exist in a preassembled form at the plasma membrane has forced the revision of classical ligand‐mediated oligomerization models, and led to the discovery of novel mechanisms of receptor activation and generation of signaling diversity which are likely to be shared by many different classes of receptors. © 2010 Wiley Periodicals, Inc. Develop Neurobiol 2010
Refactoring Idiomatic Exception Handling in C + + : Throwing and Catching Exceptions with Aspects

Aspect-oriented programming can be used to modularize crosscutting concerns to improve the maintainability of large systems. Exceptions cross-cut legacy applications and are often implemented in idioms which cannot be globally enforced. We describe an aspect-oriented approach for throwing exceptions in place of the “return code idiom”, and discuss using aspects to handle those exceptions in a modular way. We also describe challenges we encountered in implementing some exception-handling control flow strategies.
Facial feature detection and extraction using symmetry and region-based deformable template matching

In this paper, we propose a method for selecting the symmetry axis of eyes region from two or more candidates. We propose a region-based deformable template matching from two new defined operations: intensity-based 2-clustering and edge shadowing. The results display the effectiveness of our method for extraction of eye, eyebrow and nose templates. The parameters of these templates can be used as feature vectors in low bit rate transmission. Evaluation of the proposed method on an Iranian database shows the accuracy of 99% for feature region extraction and 86% in average for feature template extraction.
A low energy computer infrastructure for radio VOIP supported communication and SDR APRS in education and disaster relief situations

In long duration emergency and large scale disaster situations, information on asset position, information of current and information history of weather conditions, and communication are crucial for every rescue operation. Picture and voice are crucial so that affected population can make important decisions and take actions. Available technology offers affordable (low cost) and robust infrastructure solutions in disaster relief situations supported by radio amateur communication. In this paper we presented three types of services for which same hardware in essence can be used. First service is for GPS location mapping, second one is for VOIP communication, and third one is to provide real time video capturing. GPS location mapping was performed by using APRS-IS SDR, VOIP communication is performed via radio-svxlink-Internet using Echolink (svxlink which is linux compatible version) software, and for video capturing was used using Motion software. All above stated services is possible to install on low energy microcomputer such as Raspberry Pi which can be powered with 5 V battery or with mobile phone power adapter.
An Investigation Into the Structural Form of the O*NET–Interest Profiler–Short Form

Since their introduction, interests have been important to the field of vocational psychology. Within career counseling, they often serve as a starting point to career exploration. The changing nature of the world of work means that accurate assessment is even more imperative. There remain a number of inventories to help assess this construct. The Occupational Information Network–Interest Profiler–Short Form (O*NET-IP-SF) is a public domain assessment utilized to measure Holland’s six occupational profiles: realistic, investigative, artistic, social, enterprising, and conventional. Using confirmatory factor analysis, this study examined the structural integrity of the O*NET-IP-SF and interpretive potential using a regionally and racially diverse sample of American college students. Results suggest that O*NET-IP-SF possesses poor fit with a six-factor structure and that modifications are needed to reach acceptable levels of scale performance. Implications for researchers and career counselors are discussed.
The Analysis of PD-Sequences from Different Defects

At the first glance partial discharge processes seem to occur to a large extent at random. But this appearance is often due to the fact, that in many cases partial discharge processes are influenced by local charge accumulations in the region of the defect that are generated by the discharges themselves. Especially in solids these charges prevent the ignition of the next consecutive discharge until the field reset generated by the preceding discharge is overcome, either by a change of the external voltage or by a decrease of the local accumulation of charges. The analysis of pd sequences and not solely data sets accumulated on the basis of the phase angles of occurrence only - revealed the influence of surface and space charges generated by the individual partial discharges. To examine these phenomena in more detail, the pd activity of different types of electric equipment was measured with constant and ramped voltage load. The results revealed that different defects behave differently. The underlying physical phenomena - and especially the influence of the surface conductivity of inner or outer surfaces - will be discussed. In many cases, especially with large scale test objects more than one pd source may be active. The pd signals from different spots may be separated by means of the Pulse Shape Analysis, that uses the distortion of the original signals on the way to the coupling device
PixelFlow: the realization

PlxelFlow is an architecture for high-speed, highly realistic image generation, based on the techniques of object-parallelism and image composition, Its initial architecture was described in [MOLN92]. After development by the original team of researchers at the University of North Carolina, and codevelopment with industry partners, Division Ltd. and HcwlettPackard, PixelFlow now is a much more capable system than initially conceived and its hardware and software systems have evolved considerably. This paper describes the final realization of PixelFlow, along with hardware and software enhancements heretofore unpublished. CR Cntcgorics and Subject Descriptors: C.5. 4 [Computer System Implementation]: VLSI Systems; 1.3. 1 [Computer Graphics]: Hardware Architecture; 1.3. 3 [Computer Graphics]: Picture/Image Generation; 1.3. 7 [Computer Graphics]: ThreeDimensional Graphics and Realism. Additlonnl
Effect of Astragaloside IV on Neural Stem Cell Transplantation in Alzheimer's Disease Rat Models

Stem cell-based therapy is a promising treatment strategy for neurodegenerative diseases such as Alzheimer's disease (AD). However, the mechanism underlying the maintenance of renewal and replacement capabilities of endogenous progenitor cells or engrafted stem cells in a pathological environment remains elusive. To investigate the effect of astragaloside IV (ASI) on the proliferation and differentiation of the engrafted neural stem cells (NSCs), we cultured NSCs from the hippocampus of E14 rat embryos, treated the cells with ASI, and then transplanted the cells into the hippocampus of rat AD models. In vitro experimentation showed that 10−5 M ASI induced NSCs to differentiate into β-tubulin III+ and GFAP+ cells. NSCs transplantation into rat AD models resulted in improvements in learning and memory, especially in the ASI-treated groups. ASI treatment resulted in an increase in the number of β-tubulin III+ cells in the hippocampus. Further investigation showed that ASI inhibited PS1 expression in vitro and in vivo. The high-dose ASI downregulated the Notch intracellular domain, whereas the low-dose ASI increased Notch-1 and NICD. In conclusion, ASI treatment resulted in improvements in learning and memory of AD models by promoting NSC proliferation and differentiation partly through the Notch signal pathway.
Postural orthostatic tachycardia syndrome in a patient with relapsing-remitting optic-spinal multiple sclerosis: A case report and discussion of possible mechanism

Postural orthostatic tachycardia syndrome (POTS) is characterized by orthostatic intolerance, a presentation of autonomic dysfunction which is frequently observed in the patients with multiple sclerosis (MS). Nevertheless, to date, there have been a few studies focusing on POTS in MS patients and the underlying pathomechanism. We present a 28-year-old woman with relapsing-remitting opticspinal multiple sclerosis who also suffered POTS and discuss the possible pathomechanism of POTS in MS.