Miracle-dz/UniFAR-FTUs huggingface dataset:
Panitumumab for the Treatment of Metastatic Colorectal Cancer

Bela Piko1, Ali Bassam1, Enikő Torok2, Henriette Ocsai3 and Farkas Sukosd4 1Kalman Pandy Hospital of the Local Government of Bekes County, County, Center of Oncology, Gyula, 2Kalman Pandy Hospital of the Local Government of Bekes County, County Department of Radiology, Gyula, 3Kalman Pandy Hospital of the Local Government of Bekes County, Dermato-Oncology Outpatient Clinic, Gyula, 4University of Szeged, Albert Szent-Gyorgyi Clinical Center, Department of Pathology, Szeged, Hungary
The Interplay of SubClinical Psychosis , Cognitive Insight , Locus of Control , and Psychological Well-Being

of a thesis at the University of Miami. Thesis supervised by Associate Professor Amy Weisman de Mamani. No. of pages in text. (84) Patients with schizophrenia demonstrate diminished cognitive insight (Warman, Lysaker, & Martin, 2007), and a more external locus of control (Bentall & Kaney, 2005) compared to non-psychiatric populations. Although having increased insight has many benefits for those with schizophrenia (e.g. greater treatment adherence), a paradox exists in which it is often associated with worse well-being, known as the insight paradox (Staring et al., 2009; Lysaker, Roe, & Yanos, 2007). It is unclear whether this pattern between insight and well-being also occurs in individuals with subclinical psychotic symptoms. Prior research in schizophrenia also suggests that the relationship between greater psychotic symptoms and decreased psychological well-being is stronger for individuals who endorse a more external locus of control (Garety et al., 2007). This relationship has not been tested in a non-clinical population. Studying these relationships in a non-clinical population will provide information on whether patterns seen in schizophrenia are also present at lower level psychotic symptoms, or whether they only emerge once the threshold for a clinical diagnosis is met. Using structural equation modeling in a sample of 420 undergraduates, this study found, in line with hypotheses, that sub-clinical psychotic symptoms were negatively associated with psychological well-
Self-esteem formation among people who are in rehabilitation for drug abuse in Bangli Mental Health Hospital, Bali, Indonesia

Background: Self-esteem formation is an essential aspect for people who use drugs to support the success of a rehabilitation program, and to prevent ongoing relapse. However, self-esteem formation is not a priority in the rehabilitation program. It also tends to ignore the drug abuse status and psychological states of its clients. This study aimed to explore self-esteem formation among people who are in rehabilitation for drug abuse at the Bangli Mental Health Hospital. Findings from this study provide insights to the hospital on the importance of self-esteem formation through a rehabilitation program. Metode: A qualitative study was conducted in the Bangli Mental Health Hospital. We recruited a total of ten informants purposively who are in a rehabilitation program for at least two weeks for drug abuse at the Darmawangsa Ward Bangli Mental Health Hospital. Data were collected through in-depth interviews. Data were analyzed inductively and were presented using a narrative approach. Results: Our in-depth interviews found that self-esteem formation among people who are in rehabilitation for drug abuse depends on various factors such as family support, peer support, life experience, skills and traits, spirituality, policies, parenting history, physical and social environments. Conclusion: Self-esteem formation is determined by various factors and the drug abuse status of informants. We hope that the Bangli Mental Health Hospital can provide rehabilitation services tailored for every drug abuse status during their recovery time at the rehabilitation center.
3D Car Shape Reconstruction from a Single Sketch Image

Efficient car shape design is a challenging problem in both the automotive industry and the computer animation/games industry. In this paper, we present a system to reconstruct the 3D car shape from a single 2D sketch image. To learn the correlation between 2D sketches and 3D cars, we propose a Variational Autoencoder deep neural network that takes a 2D sketch and generates a set of multi-view depth & mask images, which are more effective representation comparing to 3D mesh, and can be combined to form the 3D car shape. To ensure the volume and diversity of the training data, we propose a feature-preserving car mesh augmentation pipeline for data augmentation. Since deep learning has limited capacity to reconstruct fine-detail features, we propose a lazy learning approach that constructs a small subspace based on a few relevant car samples in the database. Due to the small size of such a subspace, fine details can be represented effectively with a small number of parameters. With a low-cost optimization process, a high-quality car with detailed features is created. Experimental results show that the system performs consistently to create highly realistic cars of substantially different shape and topology, with a very low computational cost.
DOCUMENT RESUME

The inductivist model of language acquisition was tested by comparing the linguistic development of impulsive kindergarten children with that of reflective children, vho, in general, make fever errors on inductive reasoning tasks. The 81 children sampled were tested with the Matching Familiar Figures Test and vith measures of syntactic and semantic development from the Illinois Test of Psycholinguistic Abilities. Measures of rate of speech, number of long pauses, shoulder orientation, and physical distance between the child and the experimenter were also obtained. Results failed to establish any relationship between cognitive style and the linguistic measures, or between cognitive style and the measures of nonverbal behavior. The results vere interpreted as discrediting the inductivist model of language acquisition without necessarily confirming the cognitivist model. (AA)
A Simple Direct Solution to the Perspective-Three-Point Problem

This paper proposes a new direct solution to the perspective-three-point (P3P) problem based on an algebraic approach. The proposed method represents the rotation matrix as a function of distances from the camera center to three 3D points, then, ﬁnds the distances by utilizing the orthogonal constraints of the rotation matrix. The formulation can be simply written because it relies only on some simple concepts of linear algebra. According to synthetic data evaluations, the proposed method gives the second-best performance against the state-of-the-art methods on both numerical accuracy and computational efﬁciency. In particular, the proposed method is the fastest among the quartic-equation based solvers. Moreover, the experimental results imply that the P3P problem still has an arguable issue on numerical stability regarding a point distribution and a camera pose.
Effect of Green Tea Extract During Lactic Acid Bacteria Mediated Fermentation of Morinda citrifolia Linn. (Noni) Fruit Juice.

BACKGROUND AND OBJECTIVE Fermented noni (Morinda citrifolia L.) fruit juice is considered as one of the health-promoting beverage. The food industries are working on further improvement of fermented noni juice. The objective of the current study was to assess the impact of green tea (GT) extract during the lactic acid bacteria (Lactobacillus plantarum SK15) mediated fermentation of noni fruit juice. MATERIALS AND METHODS The clean-diced noni fruits were blended with sugar, water, 10% SK15 and GT extract. The mixture was kept at 30°C for 25 days. During fermentation, samples were collected. The changes in pH, acidity, alcohol, sugar, pectin content, total phenolic content (TPC), antioxidant capacity (AC), pectin methylesterase (PME) activity and microbial load were assessed. RESULTS The fermented noni fruit juice exhibited significantly low pH, sugar and pectin content. TPC and AC were increased after fermentation. The alcohol content, especially methanol volume was increased in all the samples but not exceed the lethal level. The samples with GT extract exhibited superior quality in all measured aspects. Notably, PME activity was suppressed by GT extract, which was reflected in the methanol content of the respective samples when compared to control. CONCLUSION The results suggested that GT extract could be used in the production of fermented plant beverages to prevent the indigenous PME activity (to reduce the methanol formation) and to improve the AC of the product. Further studies are required to know the fate of other phytochemicals and volatile compounds in noni fruit juice during fermentation.
Living with cancer in old age : a qualitative systematic review and a narrative inquiry

‘Living with Cancer in Old Age’ is an exploration of older people’s experiences of living with cancer, using qualitative research methods. A qualitative systematic review of international literature found that the experience of living with cancer in old age is characterised by ambiguity. There are sources of suffering, imposed by cancer itself, by treatments for cancer and by co-morbid disease. At the same time older people have access to sources of comfort and strength, both internal (attitudes of mental fortitude) and external (strong relationships with family, friends, communities and health professionals) which mitigate the worst effects of suffering. This literature study synthesised and interpreted findings from 11 studies covering a heterogeneous population of people aged 55-90+, representing a wide range of cancers at different stages of progress and treatment, across four countries (Israel, Canada, Sweden, USA) and using a range of qualitative methods. A subsequent empirical study using narrative methods focused on a more homogenous population of older people aged 74-87, all resident in the same geographical region (NW England), with one of the four most common cancers (breast, colon, prostate and lung) at different stages of progress and treatment, but treated at the same cancer centre. In this study a biographical/narrative method of interviewing was used, in which 20 participants (13 men and 7 women) were invited to tell the ‘story’ of their life both before and after cancer. Interpretation of life history data reported by participants in this study suggests that the overriding features of life with cancer for people in their 70s and 80s are hope and hardiness, together forming a kind of resilience which appears to be psychologically protective and which fosters a determination to continue living positively, even at an advanced stage of illness. Whereas this ‘fourth age’ has been presented by sociologists as a life stage of inevitable decline, findings from the two studies conducted in this doctoral study indicate a quality of continuing robustness in the lives of some older people which runs counter to common assumptions about their vulnerability and frailty.
A Supervisory Control Structure for Voltage-Controlled Islanded DC Microgrids

In this work, we propose a supervisory control structure in islanded DC microgrids such that a well scheduled and balanced utilization of various resources is achieved. Our supervisory control layer rests on top of a voltage-controlled primary layer and comprises a secondary layer, which receives power references from an energy management system. The secondary layer translates these power into appropriate voltage references by solving an optimization problem. These references act as an input for the primary voltage controllers. We show that the unconstrained secondary optimization problem is always feasible. Moreover, since the voltages can only be enforced at the generator nodes, we provide a novel condition to guarantee the uniqueness of load voltages and power injection of the generation units. Indeed, in the absence of uniqueness, for fixed generator voltages, the load nodes and power injections may be different than planned. This can result in violation of operational limits causing damage to the connected loads. Moreover, this uniqueness condition can be verified at each load node by utilizing local load parameters, and does not require any information about microgrid topology. The functioning of the proposed architecture is tested via simulations.
Santral Seröz Koryoretinopatinin Optik Koherens Tomografik Paternleri

Optical Coherence Tomographic Patterns of Central Serous Chorioretinopathy Objective: To investigate optical coherence tomographic (OCT) findings and patterns in the patients with central serous chorioretinopathy (CSCR). Materials and Methods: Optical coherence tomographic findings of 44 cases with CSCR whose diagnosed on clinical findings and fundus florescein angiography in the retina section of our clinic were evaluated retrospectively, and were commented. Results: The ages of the patients were between 20 and 52, while the mean age was 32.4 years. 12 (24%) of the patients were female and 32 (76%) of them were male. OCT imaging revealed that there were alone retina pigment epithelium detachment (RPED) in four cases (9.09%), retina pigment epithelium irregularities in macular area in four cases (9.09%), serous macular detachment (SMD) in eighteen cases (40.09%), SMD with RPED in six cases (13.63%), brush-border pattern in ten cases (22.72%), dipping pattern in two cases (4.54%) and cystoid macular edema with SMD in two cases (4.54%). Any angiographic and optical coherence tomographic finding concerning choroidal neovascularization was not detected in none of eyes. Conclusion: Numerous descriptive findings or patterns belonging to acute and chronic stages of disease may be observed in the patients with CSCR. OCT may be give useful informations both for the diagnosis of disease and the prediction as well as the evaluation of the response to treatment.
INFLUENCE OF TISSUE ABSORPTION AND SCATTERING ON DIFFUSE CORRELATION SPECTROSCOPY BLOOD FLOW MEASUREMENTS

OF THESIS INFLUENCE OF TISSUE ABSORPTION AND SCATTERING ON DIFFUSE CORRELATION SPECTROSCOPY BLOOD FLOW MEASUREMENTS This investigation evaluates the influences of optical property assumptions on nearinfrared diffuse correlation spectroscopy (DCS) flow index measurements. Independent variation is induced in optical properties, absorption coefficient (μa) and reduced scattering coefficient (μs’), of liquid phantoms with concurrent measurements of flow indices. A hybrid instrument is incorporated consisting of a dual-wavelength (785 and 830 nm) DCS flow device to obtain flow indices and a frequency-domain tissue-oximeter for optical properties. Flow indices are calculated with measured μa and μs’ or assumed constant μa and μs’. Inaccurate μs’ assumptions produced much larger flow index errors than inaccurate μa. Underestimated/overestimated μs’ from -35%/+175% lead to flow index errors of +110%/-80% and underestimated/overestimated μa from -40%/+150% lead to -20%/+40%, regardless of wavelength. Analysis of a clinical study involving human head and neck tumors indicates flow index errors due to inter-patient optical property variations up to +280%. Collectively, these findings suggest that studies involving significant μa and μs’ changes should measure flow index and optical properties simultaneously to accurately extract blood flow information. This study provides unique insight through the use of liquid phantoms, hybrid instrumentation, incorporation of measurement errors and a generalization into DCS flow index errors due to the influences of optical properties.
Parallel Implementation of Curvilinear High-order Formulas

High-order formulas are required for differencing and filtering the Navier–Stokes equations in order to obtain the needed accuracy for a variety of CFD applications. The parallel performance issue relevant to one of these methods, the compact scheme, is studied in this paper with emphasis on the associated implicit operators. Three procedures were selected: the one-sided method, the parallel diagonal dominant (PDD) method, and the parallel Thomas algorithm (PTA) method. These parallel procedures were implemented in the AFRL code, FDL3DI. Kernel codes were also developed to extract some inherent performance features of these methods. Some of the calculations combine the methods for compact differencing and filtering. In general, the procedures based on the one-sided schemes produced accurate results and good parallel performance (efficiency, speedup, and scalability). The procedures that combine the one-sided schemes and PDD also performed well. However, parallel calculations that use the PDD method for both compact differencing and filtering produced the wrong results for loworder filters. On the other hand, high-order filters cause PDD to be very expensive. The one-sided method leads to super-scalable calculations when the number of processors is low. For PDD, increasing the number of grid points in the derivative-difference direction leads to better speedup, as does an increase in the number of right-hand side (RHS) columns. In standard implementation (i.e. without engaging the processors during the idle time), the PTA procedure has a very poor parallel performance in comparison to PDD and the one-sided formulations. However, the procedure tends to be more accurate.
Multi-Scale Receptive Field Detection Network FIRST

Deep convolutional neural networks have contributed much to various computer vision problems including object detection. However, there are still many problems to be solved. Scale variation across object instances is one of the major challenges for object detection. In this paper, we propose a multi-scale receptive field detection network(MS-RFDN), a one-stage approach to detect objects of different scales in the image. The proposed network combines predictions of different scales from feature maps of different scales and receptive fields. To generate s scale-specific feature maps in specific layer, we design a scale-specific concatenation module (SSC module). This scale-specific feature maps are merged from the dense block and dilated block, which has the same size of the receptive field. Through our multi-scale layer network structure and scale-specific feature maps, our model has a significant improvement in small object detection. On the VOC 2007 test dataset, our method almost achieves the effect of the state-of-the-art one-stage methods, which confirmed the effectiveness of our model. INDEX TERMS Object detection, Receptive field, Scale variation
N O T I C E THIS DOCUMENT HAS BEEN REPRODUCED FROM MICROFICHE. ALTHOUGH IT IS RECOGNIZED THAT CERTAIN PORTIONS ARE ILLEGIBLE, IT IS BEING RELEASED IN THE INTEREST OF MAKING AVAILABLE AS MUCH

The ion plating techniques are classified relative to the instrumental set up, evaporation media and mode of transport. Distinction is d ; --4n between the low vacuum ( plasma) and high vacuum ( ion beam) techniques. Ion plating technology is discussed at the fundamental and industrial level. At the fundamental level, the capabilities and limitations of the plasma (evaporant flux) and film characteristics are evaluated. And on the industrial level, the performance and potential uses of ion plated films are discussed. v co co W INTRODUCTION A cursory survey of the literature reveals that since the ion plating technique was first reported in 1964, it has been referred by a vareity of terms such as vacuum ion plating, ion vapor deposition, reactive ion plating, bias sputtering, ion evaporation, ion beam plating and so on. Consequently, it can be concluded that the high degree of ion plating diversifications which exist in instrumental set ups and evaporation media are responsible for the many new terms that have been generated to designate a particular system more specifically. The extensive variation in the instrumental set ups and requirements has precluded the manufacture of a standard ion plating unit in volume production. Each laboratory or industrial operation uses its own unit construction with its own specialized instrumental features to best meet its requirements. The activity and interest in ion plating has primarily developed at two levels: the industrial or technological and the fundamental cr laboratory. At the industrial level, ion plating has proliferated into many areas in which other coating techniques have not been successful. For instance, ion plating technology is well established in the aerospace and aircraft industry for the application of tribological coatings to reduce friction and wear and protective coatings to resist corrosion and oxidation. The technique is used on a production scale to aluminize aircraft components for corrosion protection. It is suitable also for rack coating of large components and barrel coating for a large number of small steel fasteners. The industrial interest in ion plating stems from the unique features which it offers: (1) the high energy flux of ions and energetic neutrals which contribute to the excellent adherence and (2) the high throwing power which is responsible for the three-dimensional coverage which have been widely discussed (refs. 1 to 3). On the fundamental or laboratory level, there is a noticeable trend toward improving and understanding the energetics of the evaporant flux. Increased energizing of the process generally leads to improved film adhesion, favorable film morphological growth, higher film density, and reduced residual stresses in the film. To control the film properties and establish the optimum plating conditions it is important to understand the plating
Title Vertical partitioning of CO 2 production within a temperate forest soil

The major driving factors of soil CO2 production – substrate supply, temperature, and water content – vary vertically within the soil profile, with the greatest temporal variations of these factors usually near the soil surface. Several studies have demonstrated that wetting and drying of the organic horizon contributes to temporal variation in summertime soil CO2 efflux in forests, but this contribution is difficult to quantify. The objectives of this study were to partition CO2 production vertically in a mixed hardwood stand of the Harvard Forest, Massachusetts, USA, and then to use that partitioning to evaluate how the relative contributions of CO2 production by genetic soil horizon vary seasonally and interannually. We measured surface CO2 efflux and vertical soil profiles of CO2 concentration, temperature, water content, and soil physical characteristics. These data were applied to a model of effective diffusivity to estimate CO2 flux at the top of each genetic soil horizon and the production within each horizon. A sensitivity analysis revealed sources of uncertainty when applying a diffusivity model to a rocky soil with large spatial heterogeneity, especially estimates of bulk density and volumetric water content and matching measurements of profiles and surface fluxes. We conservatively estimate that the O horizon contributed 40–48% of the total annual soil CO2 efflux. Although the temperature sensitivity of CO2 production varied across soil horizons, the partitioning of CO2 production by horizon did not improve the overall prediction of surface CO2 effluxes based on temperature functions. However, vertical partitioning revealed that water content covaried with CO2 production only in the O horizon. Large interannual variations in estimates of O horizon CO2 production indicate that this layer could be an important transient interannual source or sink of ecosystem C.
Impact of Immersion on Task Performance , Satisfaction , Perceived Complexity and Knowledge Acquisition in Business Analytics Context Emergent Research Forum Paper

As Business Analytics applications permeate across various industry sectors, employees need to be trained and upskilled to meet the challenge of understanding, developing and implementing the analytics methodologies. It is, therefore, critical to understand how and whether individuals immerse themselves when working on team-based analytics projects. This study builds a conceptual model that could be tested in an experimental setting on how focused immersion impacts task performance, perceived task complexity, knowledge acquisition and satisfaction.