Miracle-dz/UniFAR-FTUs huggingface dataset:
Large-scale virtual texturing on a distributed rendering system

There has been a profound interest of late in the digitization and reconstruction of historical monuments. Rendering massive monument models requires a cluster of workstations because of the computational infeasibility of rendering over a single machine. Moreover, interactive rendering of these massive models in an immersive environment is only possible over a cluster of machines. In this paper, we present a design of distributed rendering system to efficiently handle models with massive textures. A server holds the skeleton of the whole model and divides the screen space balancing the rendering load among multiple clients. Each client loads only the required geometry and textures to render its sub-scene. We present a virtual texturing method for handling massive textures over the distributed rendering system. These textures are combined into a texture atlas which is split into equally sized tiles. A virtual texture is built over this atlas with each pixel representing a tile in the atlas. An efficient caching module loads only the required tiles into the memory, that are identified using the virtual texture. A fragment shader uses the virtual texture as a mapping to the physical texture in memory to generate the fragments. We demonstrate the performance of our system over a 350M triangles and 500 gigapixel textured model of Vittala temple.
High-Resolution Multi-Spectral Image Archives: A Hybrid Approach

We introduce an image capturing system that results in spectral image archives with sufficient spatial resolution and colorimetric accuracy for artwork imaging. In this system, a multi-band, low-spatial resolution multi-spectral image is combined with a high-spatial resolution lightness image (from either a monochrome digital or digitized photograph) to generate a high-spatial resolution spectral image. An alternative way to capture multi-spectral images by combining a trichromatic camera and absorption filters is also presented to overcome the technical problems inherent to the use of interference filters in this kind of imaging.
Genotype-phenotype relationships in U.S. melanoma-prone families with CDKN2A and CDK4 mutations.

BACKGROUND Two genes have been implicated in the development of cutaneous malignant melanoma (CMM). CDK4 (the gene encoding cyclin-dependent kinase 4, an oncogene) has exhibited germline mutations found in only three melanoma-prone families to date. CDKN2A is a tumor suppressor gene that encodes p16 (which inhibits activity of the cyclin D1-CDK4 complex) with germline mutations detected in 10%-25% of melanoma-prone families, some of whom are also prone to pancreatic cancer. METHODS We compared 104 CMM patients from 17 CDKN2A families and 12 CMM case subjects from two CDK4 families. We used nonparametric statistics to test for differences in median age at first CMM diagnosis, numbers of CMMs, and numbers of nevi. The three recurrent mutations were haplotyped. All P values were two-sided. RESULTS The median age at CMM diagnosis (P =.70) and the median numbers of CMMs (P =.73) did not differ between CMM case subjects from CDKN2A versus CDK4 families. Assessment of CMM case subjects from CDKN2A families with and without pancreatic cancer revealed no statistically significant differences in median age at diagnosis (P =.80) or in tumor number (P =.24). There was, however, a statistically significant difference in age-adjusted median numbers of nevi (P =.004), and CMM case subjects from CDKN2A families without pancreatic cancer had greater numbers of nevi. Recurrent CDKN2A mutations were a change from valine to aspartic acid at codon 126 (n = 3) and from glycine to tryptophan at codon 101 (n = 3). Six CDKN2A families had pancreatic cancer. Both CDK4 families carried a mutation resulting in an arginine-to-cysteine substitution at codon 24. Analyses of recurrent CDKN2A and CDK4 mutations suggested common haplotypes. CONCLUSIONS The recurrent CDKN2A mutations were observed in families with and without pancreatic cancer, which suggests that other factors may be involved in the development of pancreatic cancer. Despite hypothetical differences in the mechanisms of action between CDKN2A and CDK4, clinical factors were indistinguishable between CMM case subjects from CDKN2A versus CDK4 families.
Pharmacodynamic Markers of Perifosine Efficacy

Purpose: It is critical to develop methods to quantify the early pharmacodynamic effects of targeted therapeutics in vivo to make drug development more efficient and ensure biologically relevant dosing. Furthermore, an ability to identify patients likely to respond to targeted therapeutics would decrease the size, duration, and cost of clinical trials, resulting in more efficient translation to improved patient outcomes. Recent studies suggest that perifosine inhibits the phosphatidylinositol-3′-kinase (PI3K) pathway by preventing cell membrane recruitment of the AKT pleckstrin homology domain. Experimental Design: A novel functional proteomics technology, reverse phase protein array, was used to establish and quantify pharmacodynamic markers of perifosine efficacy. Results: Perifosine selectively prevents AKT recruitment to the membrane and blocks activation of downstream effectors. Perifosine inhibited breast, ovarian, and prostate cancer models. Growth inhibition was associated with apoptosis. Activation of AKT as a consequence of genomic aberrations predicted perifosine efficacy. In cell lines and xenografts, there was a highly statistically significant correlation between the degree of antitumor efficacy of different perifosine doses and quantified down-regulation of phosphorylation of AKT and of its downstream targets, particularly S6. Conclusions: Because of a strong correlation between proportional modulation of PI3K pathway biomarkers and quantified perifosine efficacy, it is likely that early measurement of such pharmacodynamic biomarkers with reverse phase protein array will optimize selection of responding patients and guide perifosine dosing. Furthermore, PI3K pathway activation status may allow baseline selection of patients most likely to respond to perifosine alone or in combination with other therapies.
Treating PTSD in active duty service members using cognitive processing therapy or prolonged exposure therapy: Examining everyday practice at a military outpatient clinic

ABSTRACT The Institute of Medicine has stressed the need for evaluations of evidence-based treatments (EBTs) for posttraumatic stress disorder (PTSD) among active duty service members (AD) using a variety of evaluation approaches (Institute of Medicine, 2012). The current study examined the clinical files of 134 service members who completed treatment for PTSD using either prolonged exposure (PE) or cognitive processing therapy at an outpatient clinic. At the completion of each session, therapists made a clinical rating as to whether or not the session was protocol adherent. The total number of treatment sessions and the proportion of sessions rated as being protocol adherent were calculated. Multi-level models estimated the change in patient PTSD and other psychological symptoms over time as a function of clinician-rated protocol adherence and total number of sessions. Approximately 65% of clinic encounters were rated by therapists as being protocol adherent. Significant reductions in PTSD and psychological symptoms were associated with protocol adherence, and this was particularly true for patients who began treatment above clinical thresholds for both PTSD and other psychological symptoms. However, as the number of sessions increased, the impact of protocol adherence was attenuated. Patient characteristics, including gender, ethnicity, and co-morbidity for other psychiatric disorders were not related to symptom change trajectories over time. These findings suggest that protocol adherence and efficiency in delivery of EBTs for the treatment of PTSD with AD is critical.
Exposure to ALS-FTD-CSF generates TDP-43 aggregates in glioblastoma cells through exosomes and TNTs-like structure

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) represent a continuum of devastating neurodegenerative diseases, characterized by transactive response DNA-binding protein of 43 kDa (TDP-43) aggregates accumulation throughout the nervous system. Despite rapidly emerging evidence suggesting the hypothesis of ‘prion-like propagation’ of TDP-43 positive inclusion in the regional spread of ALS symptoms, whether and how TDP-43 aggregates spread between cells is not clear. Herein, we established a cerebrospinal fluid (CSF)-cultured cell model to dissect mechanisms governing TDP-43 aggregates formation and propagation. Remarkably, intracellular TDP-43 mislocalization and aggregates were induced in the human glioma U251 cells following exposure to ALS-FTD-CSF but not ALS-CSF and normal control (NC) -CSF for 21 days. The exosomes derived from ALS-FTD-CSF were enriched in TDP-43 C-terminal fragments (CTFs). Incubation of ALS-FTD-CSF induced the increase of mislocated TDP-43 positive exosomes in U251 cells. We further demonstrated that exposure to ALS-FTD-CSF induced the generations of tunneling nanotubes (TNTs)-like structure and exosomes at different stages, which mediated the propagation of TDP-43 aggregates in the cultured U251 cells. Moreover, immunoblotting analyses revealed that abnormal activations of apoptosis and autophagy were induced in U251 cells, following incubation of ALS-CSF and ALS-FTD-CSF. Taken together, our data provide direct evidence that ALS-FTD-CSF has prion-like transmissible properties. TNTs-like structure and exosomes supply the routes for the transfer of TDP-43 aggregates, and selective inhibition of their over-generations may interrupt the progression of TDP-43 proteinopathy.
Facelets architecture for GUI independence

The growth of the industry results with introducing new development of tools and patterns for satisfying their needs. But every day new tools are introduced, o(cid:27)ering new features that raise the price of the industry product. In this paper, we present a system for wrapping various interface based frameworks and tools. The architecture utilizes Java speci(cid:28)c features and uses facelets to provide independence from various implementations, such as JSF based IceFaces and Tobago or even desktop frameworks like Swing. This is made possible by using concepts like inversion of control done by using Spring, especially the dependency injection pattern. Usage of facelets enables the primary goal behind the architecture witch to provide the application developers with a familiar enterprise development model, and completely shelter them from the complexities of the underlying GUI implementation. This framework enables easy creation of highly complex user interfaces that are in the same time very (cid:29)exible which improves productivity and this is a major requirement in any modern system.
The Change of Total Anthocyanins in Blueberries and Their Antioxidant Effect After Drying and Freezing

This study examined the effects of freezing, storage, and cabinet drying on the anthocyanin content and antioxidant activity of blueberries (Vaccinium corymbosum L). Fresh samples were stored for two weeks at 5°C while frozen samples were kept for up to three months at −20°C. There were two drying treatments, one including osmotic pretreatment followed by cabinet drying and the other involving only cabinet drying. Total anthocyanins found in fresh blueberries were 7.2 ± 0.5 mg/g dry matter, expressed as cyanidin 3-rutinoside equivalents. In comparison with fresh samples, total anthocyanins in untreated and pretreated dried blueberries were significantly reduced to 4.3 ± 0.1 mg/g solid content, 41% loss, and 3.7 ± 0.2 mg/g solid content, 49% loss, respectively. Osmotic treatment followed by a thermal treatment had a greater effect on anthocyanin loss than the thermal treatment alone. In contrast, the frozen samples did not show any significant decrease in anthocyanin level during three months of storage. Measurement of the antioxidant activity of anthocyanin extracts from blueberries showed there was no significant difference between fresh, dried, and frozen blueberries.
A Novel High-Throughput Method for Molecular Detection of Human Pathogenic Viruses Using a Nanofluidic Real-Time PCR System

Human enteric viruses are recognized as the main causes of food- and waterborne diseases worldwide. Sensitive and quantitative detection of human enteric viruses is typically achieved through quantitative RT-PCR (RT-qPCR). A nanofluidic real-time PCR system was used to develop novel high-throughput methods for qualitative molecular detection (RT-qPCR array) and quantification of human pathogenic viruses by digital RT-PCR (RT-dPCR). The performance of high-throughput PCR methods was investigated for detecting 19 human pathogenic viruses and two main process controls used in food virology. The conventional real-time PCR system was compared to the RT-dPCR and RT-qPCR array. Based on the number of genome copies calculated by spectrophotometry, sensitivity was found to be slightly better with RT-qPCR than with RT-dPCR for 14 viruses by a factor range of from 0.3 to 1.6 log10. Conversely, sensitivity was better with RT-dPCR than with RT-qPCR for seven viruses by a factor range of from 0.10 to 1.40 log10. Interestingly, the number of genome copies determined by RT-dPCR was always from 1 to 2 log10 lower than the expected copy number calculated by RT-qPCR standard curve. The sensitivity of the RT-qPCR and RT-qPCR array assays was found to be similar for two viruses, and better with RT-qPCR than with RT-qPCR array for eighteen viruses by a factor range of from 0.7 to 3.0 log10. Conversely, sensitivity was only 0.30 log10 better with the RT-qPCR array than with conventional RT-qPCR assays for norovirus GIV detection. Finally, the RT-qPCR array and RT-dPCR assays were successfully used together to screen clinical samples and quantify pathogenic viruses. Additionally, this method made it possible to identify co-infection in clinical samples. In conclusion, given the rapidity and potential for large numbers of viral targets, this nanofluidic RT-qPCR assay should have a major impact on human pathogenic virus surveillance and outbreak investigations and is likely to be of benefit to public health.
Superimposed Mental Imagery

Human beings have the capacity to ‘augment’ reality by superimposing mental imagery on the visually perceived scene, a capacity that is here referred to as make-perceive. In the first part of this chapter, the author shows that make-perceive enables us to solve certain problems and pursue certain projects more effectively than bottom-up perceiving or top-down visualization alone. The second part addresses the question of whether make-perceive may help to account for the phenomenal presence of occluded or otherwise hidden features of perceived objects. The author argues that phenomenal presence isn’t well explained by the hypothesis that hidden features are represented using projected mental images. In defending this position, he points to important phenomenological and functional differences between the way hidden object features are represented respectively in mental imagery and amodal completion.
Birational classification of curves on rational surfaces

Abstract In this paper we consider the birational classification of pairs (S, ℒ), with S a rational surface and ℒ a linear system on S. We give a classification theorem for such pairs, and we determine, for each irreducible plane curve B, its Cremona minimal models, that is, those plane curves which are equivalent to B via a Cremona transformation and have minimal degree under this condition.
A Novel Computational Model for GPUs with Application to I/O Optimal Sorting Algorithms

We propose a novel computational model for GPU. Known parallel computational models such as the PRAM model are not appropriate for evaluating GPU algorithms. Our model, called AGPU, abstracts the essence of current GPU architectures such as global and shared memory, memory coalescing and bank conflicts. We can therefore evaluate asymptotic behavior of GPU algorithms more accurately than known models and we can develop algorithms that are efficient on many real architectures. As a showcase, we first analyze known comparison-based sorting algorithms using the AGPU model and show that they are not I/O optimal, that is, the number of global memory accesses is more than necessary. Then we propose a new algorithm which uses an asymptotically optimal number of global memory accesses and whose time complexity is also nearly optimal.
Pervasive Projection : Exploring the Potential of Mobile Phone Projectors

In this contribution to the ongoing early discussions about mobile and personal projectors we assess the state of the art using our grounding in previous user-centred work in urban environments, virtual heritage and museums. From this assessment we isolate the projector phone as a uniquely interesting new device and put forward a series of discussion points relating to three key conceptual issues of projector phone applications. In order to drive the discussion further we also suggest two innovative applications for the projector phone that expand the existing application domain into interesting new areas.
Pengaruh Penerapan Pendekatan Saintifik terhadap Penguasaan Konsep Kingdom Animalia pada Peserta Didik SMA Srijaya Negara Palembang

Penelitian ini bertujuan untuk mendapatkan informasi mengenai pengaruh penerapan pendekatan saintifik terhadap penguasaan konsep peserta didik SMA pada materi dunia hewan (Animalia). Metode penelitian yang digunakan adalah Pre-Experimental design dengan desain penelitian one-group pretest-posttest. Penelitian ini melibatkan peserta didik kelas X MIA 3 SMA Srijaya Negara Palembang tahun ajaran 2016/2017 (n=33). Pengambilan sampel menggunakan teknik purposive sampling. Teknik pengumpulan data menggunakan tes tertulis. Analisis data menggunakan program Statistical Program for Social Science 22 (SPSS 22). Data hasil penelitian dianalisis dengan Kolmogorov-Smirnov Test dan dilanjutkan dengan uji t berpasangan. Hasil penelitian menunjukkan bahwa terjadi peningkatan penguasaan konsep secara signifikan, dengan nilai signifikansi p = 0,000 pada α = 0,025. Peningkatan penguasaan konsep termasuk dalam kategori tinggi dengan nilai n-gain = 0,76. Berdasarkan hasil dapat disimpulkan bahwa pembelajaran dengan menggunakan pendekatan saintifik dapat meningkatkan penguasaan konsep peserta didik SMA kelas X pada topik dunia hewan.
Reachability analysis for a class of quantized control systems

We study control systems whose input sets are quantized. We specifically focus on problems relating to the structure of the reachable set of such systems, which may turn out to be either dense or discrete. We report on some results on the reachable set of linear quantized systems, and study in detail an interesting class of nonlinear systems, forming the discrete counterpart of driftless nonholonomic continuous systems. For such systems, we provide a complete characterization of the reachable set, and, in the case the set is discrete, a computable method to describe its lattice structure.
A Flexible Microrobot-Based Microassembly Station

A wide range of microcomponents can today be produced using various microfabrication techniques. The assembly of complex microsystems consisting of several single components (i.e., hybrid microsystems) is, however, a difficult task that is seen to be a real challenge for the robotic research community. It is necessary to conceive flexible, highly precise and fast microassembly methods. In this paper, the development of a microrobot-based microassembly station is presented. Mobile piezoelectric microrobots with dimensions of some cm3 and with at least 5 DOF can perform various manipulations either under a light microscope or within the vacuum chamber of a scanning electron microscope. The components of the station developed and its control system are described. The latter comprises a vision-based sensor system for automatic robot control, user interfaces, a re-configurable parallel computer array and an assembly planning system. Specific problems that occur when using microrobots in an SEM and our research activities on the development of force microsensors integrated into the microrobots" grippers are described as well.
Overview of the MySteps ICT Framework

MySteps is an inspiring acronym for a novel active living framework detailed in this paper. Managing Youth Screen Time and Exercise Performance Statistics (MySteps) is a cohesive collection of Information and Communication Technologies (ICT) integrated in a unique way for specific application in the adolescent demographic health domain. Specifically, it is used to promote awareness and real time feedback of the need for balance between screen time and exercise performance. This is essentially achieved through the visual representation of those daily statistical elements using contemporary readily available mobile and health technologies.
Economic Policy and The Financing of Innovation

Adverse selection in the financing of innovation limits the rate of technological progress and slows down economic growth. To formalize this fact, I develop a model of Schumpeterian Growth wherein outside investors cannot screen entrepreneurs from a crowd of non-entrepreneurial imitators. Therein, I study the design of optimal policy and the effects of policy reforms on technological progress. Because networth allows entrepreneurs to invest in their own projects and detract imitators by raising the costs to imitation, policy reforms that increase entrepreneurial networth boost technological progress even when financed through a higher tax on profits. Since entrepreneurs pursue innovation to make a profit, if it were not for the adverse selection problem, a higher tax on profit would harm technological progress. Taxing consumption is an effective way to raise networth and subsidize profits simultaneously. If the government taxes consumption sufficiently, it is able to implement the socially optimal level of technological progress free of adverse selection. Otherwise, the government may prefer to implement a second-best allocation with adverse selection. This happens when boosting networth enough to avoid adverse selection requires taxing profits excessively.