Miracle-dz/UniFAR-FTUs huggingface dataset:
Animal Models of Osteoarthritis

The complex pathobiologic changes of human joint disease, particularly osteoarthritis (OA), normally take sev- eral decades to develop and may be influenced by a multitude of genetic and environmental factors. The need to clarify the molecular events that occur in joint tissues at the onset and during the progression of OA has necessitated the use of models, which, although imperfect, can exhibit many of the pathologic features that characterize the human disease. In vi- tro studies have proven invaluable in defining specific molecular and cellular events in degradation of joint tissues such as cartilage. However, to fully understand the complex inter-relationship between the different disease mechanisms, joint tis- sues and body systems, studying OA in animal models is necessary. Models of inflammatory arthropathies have proven predictive of clinical efficacy, with therapies that are beneficial in animals having significant benefit in treatment of rheumatoid arthritis in humans. While none of the available animal models of OA can truly be said to be predictive, as no anti-OA therapies have yet proven to be disease modifying in human trials, this approach represents a cornerstone for dis- covery of new anti-OA therapeutic targets and drugs. In this paper the available species and models of OA are reviewed and their potential utility discussed.
Tropical Pulmonary Eosinophilia - A Rare Presentation of a Common Disease in Tropics

Tropical pulmonary eosinophilia is one of the many pulmonary infiltrates with eosinophilia. We are presenting a case with features of lung abscess in left lung field. The diagnosis was suspected and proved retrospectively after successful treatment with diethyl carbamazine (DEC). There was an elevation of gamma-glutaryl transpeptidase levels in our case, which may have a role in pulmonary infiltrates in tropical eosinophilia.
Encoding and Storage in Working Memory during Sentence Comprehension

In this article, we will discuss evidence from a number of recent neuroimaging experiments. These experiments suggest that three areas play a role in sentence comprehension: the left inferior frontal gyrus (LIFG), the left posterior superior temporal gyrus (STG), & the anterior temporal lobe (ATL). The left posterior STG appears to be important for sentential processing, since activation in this area increases as a function of the structural complexity of the sentences which must be comprehended. The LIFG, on the other hand, is activated by storage of lexical information as well as by sentential complexity. It is possible to explain a range of experimental results by hypothesizing that this area is responsible for storage of both lexical & phrasal information during comprehension. The ATL does not respond to structural complexity during sentence comprehension, but it is consistently more activated during comprehension of sentences than of word lists. On the basis of evidence which shows that the ATL is important for encoding in short-term verbal memory tasks, we suggest that it is responsible for encoding of information about words for use later in comprehension. 3 Tables, 7 Figures, 36 References. Adapted from the source document
Abstraction capabilities of deep neural networks while learning chess

En aquest treball es fa un estudi detallat de les Xarxes Neuronals, especialment de les xarxes neuronals profundes. En la part practica, s'utilitzen xarxes neuronals convolucionals per crear programes capacos d'apendre a jugar als escacs de zero, sense coneixement previ de les normes del joc.
RESOLUTIVIDADE DA ACUPUNTURA EM EFEITOS COLATERAIS DECORRENTES DA QUIMIOTERAPIA APLICADA EM UMA PACIENTE PORTADORA DE CÂNCER DE MAMA

Under holistic perspective of Traditional Chinese Medicine (TCM), we believe that anxiety, fear, sadness, anger and/or pain cause disharmony psychosomatic in humans and are responsible for symptoms of discomfort causing a decrease in life quality. Acupuncture is a MTC treatment, and accessible with minimum turnaround time to obtaining relief or cure of symptoms, especially no use of allopathic medications by western medicine. We describe in this report points made about the care of a breast cancer woman being treated by chemotherapy as well as its energy diagnosis, treatment choice and subsequent results in patient's experience facing acupuncture is happening. In this light, study's objective was to assess response to TCM intervention in combating side-effects of chemotherapy in a pharmacy assistant woman, 47 years old, with breast cancer. After anamnesis, we believe that patient has a constitutional ground, nature Yin, has been generally empty and has a chronic etiology preferably internal. Based on information obtained initial, diagnosis arrived was deficiency of energy "Qi" of pi, of xue xin of gan xue and Yang Shen. The meetings have taken place essentially once a week, where we used systemic application of needles, moxibustion and ear acupuncture. Currently, patient meets the general stable, mild edema, immunity restored and featuring balanced emotional state through acupuncture treatment using points as CV4, SP10, ST36 and PC6. She still will receive last chemotherapy session by scheduled second cycle, so has not yet discharged clinic
Scheduling Status Update for Optimizing Age of Information in the Context of Industrial Cyber-Physical System

Age of Information has been emerged as an interesting metric in real-time wireless networks that captures the freshness of information in the underlying applications. This topic is motivated by the problem in which the users of a network care about timely information defined as the age of the most recent status update a user has received. In the proposed work, we have studied this concept in the context of an industrial wireless sensor-actuator network for cyber-physical production systems. Such a network with ever-changing dynamics requires continuous updates of the system states and ongoing tasks by exchanging the time-critical, event-driven, and/or time-driven information to maintain the stability of the system, failing which may lead to shut down of the plant and other fatal consequences. Different real-time transmission scheduling algorithms manage how the channel resources are allocated each time depending on the packet arrivals to minimize the age of the information. However, unlike other real-time networks like broadcasting and sensor networks, etc. in cyber-physical systems, cyber and physical devices have different requirements to improve their quality of performance. Balancing between the performance criteria of both cyber and physical units seems to be a great challenge. In this work, the minimization of staleness of the real-time updates by minimizing the age of information and their effect on network performance have been studied extensively for this purpose. Two greedy scheduling policies have been proposed: one for the total age minimization and another one for stale age and jitter minimization. Their performances and complexities are compared with other existing scheduling algorithms. Moreover, the optimality of each of our proposed algorithms are proved analytically and claims are validated via simulation results too. Eventually, these results come to a conclusion that minimum age does not always guarantee the maximum freshness of information and satisfactory system performance at the same time.
National Child Development Study and 1970 British Cohort Study Technical Report: Changes in the NCDS and BCS70 Populations and Samples over Time

The Centre for Longitudinal Studies (CLS) is one of five centres that comprise the Bedford Group for Lifecourse and Statistical Studies (www.ioe.ac.uk/bedfordgroup). CLS is devoted to the collection, management and analysis of large-scale longitudinal data. It has responsibility for Britain's internationally renowned birth cohort studies, the National Child Development Study (1958 cohort) and the 1970 British Cohort Study, and leads the consortium conducting the ESRC's Millennium Cohort Study. The views expressed in this work are those of the authors and do not necessarily reflect the views of the Economic and Social Research Council. All errors and omissions remain those of the authors.
Digital watermarking in binary document and grayscale images for content authentication

In recent times, information technology revolution has significantly transformed many parts of our lives. With increasing application of digital data in various forms such as image, video, music, documents and graphics, its security and authentic usage has posed important technological challenges for both industry and academia. This thesis discusses the issues regarding secure content authentication of binary document and grayscale images using digital watermarking techniques. By suitably hiding the watermark within a digital image, it is possible to verify whether it has been tampered by malicious attackers after the watermarking process. Using the hidden watermark, tamper localization and restoration of modified portions in the attacked image can be achieved. The difficulty in hiding the watermark of sufficient length within a binary document image arises due to its simple pixel statistics. A new perceptual model is designed towards the goal of selecting low-distortion pixels for imperceptible watermarking. Then an exact authentication method is proposed using the perceptual model such that any modification to the watermarked image could be detected with high accuracy. We have found that sufficient number of low-distortion pixels is not available in individual blocks of a binary document image for secure localization. A new localization method is proposed by constructing an erasable watermark and the method achieves high security after introducing erasable distortion in the watermarked image. A new restoration method is proposed for text document images using the error-control coding technique. Using this method, the original character sequence can be extracted after multiple attacks such as character deletion, insertion and substitution. The block-wise localization methods in binary document and grayscale image authentication suffer from a system level attack known as the ii ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Notes on the Megiddo Glass Figurine in the Istanbul Archaeology Museums

In this paper I revisit a glass female figurine discovered during the Tell el-Mutesellim (Megiddo) excavations at the beginning of the 20th century and exhibited in the Istanbul Archaeology Museums collection since 1904. A detailed analysis and interpretation of the artefact are presented in light of recent research on glass of the second millennium BCE in the Near East.
On flow aggregation for multicast video transport

Proposes flow aggregation algorithms for multicast video transport. Because of the heterogeneities of network/client environments and users' preferences on the perceived video quality, various QoS (quality of service) requirements must be simultaneously guaranteed, even for a single video source in a multicast connection. It is easy (but ineffective) to provide many video streams according to each user's request. Our flow aggregation algorithm arranges similar QoS requirements of clients into a single QoS requirement, by which the required number of video streams that the video server needs to prepare can be decreased. Then, the total amount of the required bandwidth is reduced by sharing the same video stream among a number of clients. Our algorithm has two variants: one is suitable for sender-initiated multicast connections; the other is suitable for receiver-initiated multicast connections. The proposed algorithms are evaluated and compared through simulation. Then we show that the server-initiated flow aggregation (an ideal case in our approach) is more effective, but the receiver-initiated flow aggregation can also offer a reasonably effective mechanism. Simplified versions of the above two algorithms are also considered in order to save computational cost. These are also evaluated in order to investigate their effectiveness.
Menzel's Realism: Art and Embodiment in Nineteenth-Century Berlin

Adolf Menzel was one of the most important German artists of the 19th century, yet he is scarcely known outside his native land. In this study a leading art historian argues that Menzel deserves to be recognized not only as one of the greatest painters and draftsmen of his century but also as a master realist whose work engages profoundly with an extraordinary range of issues - artistic, scientific, philosophical and socio-political. Michael Fried explores Menzel's large and fascinating oeuvre, and in so doing seeks to make the artist's achievement accessible to a wide audience. Fried compares Menzel's art with that of the 19th-century's two other great realist painters, Courbet and Eakins. Analyzing paintings, drawings and prints from all stages of Menzel's long career, he asserts that the distinctive quality of Menzel's realism is found in his concern with evoking the multi-sensory, fully-embodied relationships of persons with the universe of physical objects, tools and situations. Fried establishes connections between Menzel's work and a broad array of extra-artistic contexts, among them the writings of the empathy theorists, Kierkegaard on reflection and the everyday, Helmholtz on vision, Fontane's "Effi Briest", Duranty's art criticism, Simmel on modern urban life, E.T. A. Hoffmann's "art of seeing", and Benjamin on traces. He also explores the complex relationship between Menzel's version of "extreme" realism and the exactly contemporary technology of photography. The resulting work establishes Menzel as a key artist of modernity.
Soft Edge and Soft Corner Blending

We address artifacts at corners in soft edge blend masks for tiled projector arrays. We compare existing and novel modifications of the commonly used weighting function and analyze the first order discontinuities of the resulting blend masks. In practice, e.g. when the projector lamps are not equally bright or with rear projection screens, these discontinuities may lead to visible artifacts. By using first order continuous weighting functions, we achieve significantly smoother results compared to commonly used blend masks.
MWAND: A New Early Termination Algorithm for Fast and Efficient Query Evaluation

Nowadays, current information systems are so large and maintain huge amount of data. At every time, they process millions of documents and millions of queries. In order to choose the most important responses from this amount of data, it is well to apply what is so called early termination algorithms. These ones attempt to extract the Top-K documents according to a specified increasing monotone function. The principal idea behind is to reach and score the most significant less number of documents. So, they avoid fully processing the whole documents. WAND algorithm is at the state of the art in this area. Despite it is efficient, it is missing effectiveness and precision. In this paper, we propose two contributions, the principal proposal is a new early termination algorithm based on WAND approach, we call it MWAND (Modified WAND). This one is faster and more precise than the first. It has the ability to avoid unnecessary WAND steps. In this work, we integrate a tree structure as an index into WAND and we add new levels in query processing. In the second contribution, we define new fine metrics to ameliorate the evaluation of the retrieved information. The experimental results on real datasets show that MWAND is more efficient than the WAND approach.
Design of Multi-tasking Cooperative Path Planning Simulation System with Multi-algorithms Fusion

For rescue after natural disasters and public calamity, an intelligent multi-tasking cooperative path and patrol planning and obstacle avoidance simulation system should be established for the complex environment. With the simulation system, the effectiveness and feasibility of the intelligent algorithms can be verified in software, meanwhile the risk of putting the software into use and the development cost of post-hardware are all can be reduced. And the multi-thread technology is used for the VS and Vega Prime simulation engine to control the data acquisition and model driving, then the stable 3D-scene simulation system with multi-barrier and multi-channel in the complex scenes is designed and developed. Five kinds of intelligent and efficient pathfinding and obstacle avoidance algorithms, including the A* algorithm, the ant colony algorithm, the artificial potential field algorithm, the eight-direction recursive algorithm and the particle swarm optimization (PSO) algorithm, are all integrated into the system, then the individuals in each algorithm are divided into subgroups for each task, thus formed the hierarchical multi-tasking intelligent algorithm, which are suitable for the multi-task collaborative planning in complex scenes, and the algorithms can switch quickly each other, when one pathfinding algorithm fails, the another algorithm can be switched. Finally, the system is proved reliable and practical from the simulation results.
Efficacy and safety of the combination of nivolumab (NIVO) plus ipilimumab (IPI) in patients with symptomatic melanoma brain metastases (CheckMate 204).

9501 Background: We previously reported efficacy and safety of NIVO+IPI in patients (pts) with untreated, asymptomatic, melanoma brain metastases (MBM) from the CheckMate 204 study. Here, we provide the first report of NIVO+IPI in pts with symptomatic MBM, and report updated data in pts with asymptomatic MBM. Methods: In this phase II trial, pts with ≥1 measurable, nonirradiated MBM 0.5–3.0 cm were enrolled into two cohorts: (1) those with no neurologic symptoms or steroid Rx (asymptomatic; cohort A); and (2) those with neurologic symptoms, whether or not they were receiving steroid Rx (symptomatic; cohort B). In both cohorts, pts received NIVO 1 mg/kg + IPI 3 mg/kg Q3W × 4, then NIVO 3 mg/kg Q2W until progression or toxicity. The primary endpoint was intracranial clinical benefit rate (CBR; proportion of pts with complete response [CR] + partial response [PR] + stable disease [SD] ≥6 mo). As of the clinical cutoff date on May 1, 2018, all treated pts (101 in cohort A and 18 in cohort B) had been followed for ~6 mo or longer. Results: In this updated analysis of cohort A (median follow-up of 20.6 mo), the CBR was 58.4% (Table). In cohort B, pts received a median of 1 NIVO+IPI dose and 2 of 18 pts (11%) received all 4 doses. At a median follow-up of 5.2 months in cohort B, intracranial objective response rate was 16.7% and the CBR was 22.2%. Grade 3/4 adverse events occurred in 54.5% of pts in cohort A and in 55.6% of pts in cohort B (6.9% and 16.7% in the nervous system, respectively), with one death related to treatment in cohort A (immune-related myocarditis). Conclusions: In pts with asymptomatic MBM, our updated results show a high rate of durable intracranial responses, further supporting NIVO+IPI as a first-line treatment in this population. Intracranial antitumor activity was observed with NIVO+IPI in pts with symptomatic MBM, but further study is needed to understand the biologic mechanisms of resistance to immunotherapy and to improve treatments in this challenging population. Clinical trial information: NCT02320058. [Table: see text]
LOW RADIATION AND CONTRAST MEDIUM DOSE IN 64- SLICES MULTIDTECTOR CT ANGIOGRAPHY OF THORACIC AORTA

The evaluation of chronic aortic diseases, many protocols of low radiation dose and low medium iodine contrast dose are performed. The main aim of this study is to give a preliminary evaluation of dose reduction and iodine dose reduction. In our hospital, from February 2013 to November 2016 we selected 150 patients divided into two groups: 60 for our study and a control group of 90 cases. All CT examinations were performed with a 64-MDCT scan (Optima-CT GE Healtcare). Tube voltage was reduced in our study (80 kVp versus 120 in our standard) with automated current modulation system in both groups. Concerning the iodine dose reduction, in the study groups it was strongly reduced (40 cc of 370 mg/ml versus 90 cc of 370 mg/ml): a mechanical power injector was used to administer the contrast material via catheters (20-gauge) placed in the antecubital vein at a flow rate of 4.5 ml/sec. Two radiologists qualitatively graded the image quality of all cases, defining the walls and the enhancement of the lumen of the aorta. On the basis of the criteria reported in the literature, a five-point subjective scale was used to grade image quality, from excellent (1) to non-diagnostic quality (5). The reasons for the degraded image quality were due to high BMI and consisted especially in low signal/noise ratio, and in two cases it was due to the suboptimal contrast enhancement owing to poor bolus timing. In the cases of low signal/noise ratio, a smooth filter was applied to reduce the noise. The results of this study provide useful information about the reduction of the radiation dose and the medium iodine contrast. The diagnostic quality of the scan performed with a low dose of iodine and radiation overlays with the scans performed with the standard protocol. The study groups revealed a strong reduction dose in terms of DLP, and the quality of images was similar to the control group.
Prediction of multivariate time series based on reservoir principal component analysis

A nonlinear principal component analysis(PCA)method based on echo state network(ESN)reservoir is proposed for multivariate time series prediction.As the correlations among multivariate inputs have adverse effect on modeling,the reservoir is utilized for translating the inputs' nonlinear features in the original input space to linear features in the high-dimension reservoir state space.Then the linear PCA is performed on mapped data to find the uncorrelated directions of maximum variance and thus to extract the joint information of multiple variables.Furthermore,dynamic linear mapping is obtained from the RPCA outputs to the predictor points,so linear algorithms are investigated for modeling.The simulation results show the effectiveness of the proposed method.
Liposomal Amphotericin B–Associated Cardiac Arrest: Case Report and Literature Review

Abstract Liposomal amphotericin B (L-AmB) was developed with the intent to minimize the adverse effects associated with amphotericin B deoxycholate, especially nephrotoxicity. Although there has been a substantial decrease in adverse effects with L-AmB compared with its predecessor, there is a small body of evidence suggesting its association with cardiovascular adverse events. We report a case of L-AmB-associated cardiac arrest in a patient with preexisting cardiac-related disease states. In addition, we review currently available literature regarding cardiac-related adverse events associated with L-AmB. When the Naranjo Adverse Drug Reaction Probability Scale was applied to this case, the probability of association was determined as possible. This case adds to a small but important body of literature regarding L-AmB–associated cardiotoxicity. Moreover, a review of the available literature indicates that providers should be aware of the potential for cardiac adverse events with L-AmB.