Miracle-dz/UniFAR-FTUs huggingface dataset:
Inﬂammatory myoﬁbroblastic tumor of the lung

Objective : Inﬂammatory myoﬁbroblastic tumor (IMT) is a rare disease that usually occurs in the lung. Recently, several reports have suggested that IMT is a true neoplasm rather than a reactive lesion. In this retrospective study, we reviewed clinicopathological characteristics and prognoses for all patients with surgically resected IMT of the lung at our institute. Methods : From January 1985 to December 2002, nine patients had surgical intervention for IMT of the lung at the National Cancer Center Hospital, Tokyo. The resected lesions were studied histologically, immunohistochemically, and ultrastructurally. Follow-up was complete in all patients and varied from 3 months to 16 years 2 months (median, 6 years 2 months). Results : These nine patients included ﬁve men and four women. They ranged in age from 25 to 66 years. Seven patients were asymptomatic. The two symptomatic patients had problems including cough, hemoptysis, and dyspnea. For all these patients, the diagnostic procedure was surgical excision. The resected tumor size ranged from 1.0 to 4.0 cm in diameter. Histologically, a variety of inﬂammatory and spindle cells were observed. The spindle cells corresponded ultrastructurally to myoﬁbroblasts or ﬁbroblasts. With the exception of one patient who had spontaneous resolution of a recurrent tumor, there was no recurrence in these patients, and all of them are in good health. Conclusions : Histopathologically, IMT is characterized by myoﬁbroblasts that are mixed with chronic inﬂammatory cells, including plasma cells, lymphocytes, and histiocytes. Surgical resection, when possible, can be chosen as the treatment. Complete resection leads to excellent survival.
Glaucoma Genetic African Ancestry Is Associated With Central Corneal Thickness and Intraocular Pressure in Primary Open-Angle Glaucoma

Department of Ophthalmology, Erasmus MC, Rotterdam, The Netherlands Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands Division of Ophthalmology, University of Cape Town, Cape Town, South Africa Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom Department of Ophthalmology, King’s College London, London, United Kingdom Glaucoma Service, The Rotterdam Eye Hospital, Rotterdam, The Netherlands Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
3D Target Localization of Modified 3D MUSIC for a Triple-Channel K-Band Radar

In this paper, a modified 3D multiple signal classification (MUSIC) algorithm is proposed for joint estimation of range, azimuth, and elevation angles of K-band radar with a small 2 × 2 horn antenna array. Three channels of the 2 × 2 horn antenna array are utilized as receiving channels, and the other one is a transmitting antenna. The proposed modified 3D MUSIC is designed to make use of a stacked autocorrelation matrix, whose element matrices are related to each other in the spatial domain. An augmented 2D steering vector based on the stacked autocorrelation matrix is proposed for the modified 3D MUSIC, instead of the conventional 3D steering vector. The effectiveness of the proposed modified 3D MUSIC is verified through implementation with a K-band frequency-modulated continuous-wave (FMCW) radar with the 2 × 2 horn antenna array through a variety of experiments in a chamber.
Risk Factors for Hypoglycemic Coma: A Study of 33 Patients on Insulin Therapy Who Were Transported to the Hospital by Ambulance

Objective Patients on outpatient insulin therapy are at a high risk of severe hypoglycemia and a high incidence of hypoglycemic coma. However, only a few studies have explored the risk factors for hypoglycemic coma in such patients. We retrospectively analyzed the clinical characteristics of diabetic patients who had developed hypoglycemic coma during outpatient insulin therapy. Methods This study included 33 diabetic patients on insulin therapy who were transported to the hospital by ambulance for severe hypoglycemia. Patients with a Japan Coma Scale score ＜100 were classified as the non-coma group (n=18), while those with a score ≥100 (n=15) were classified into the coma group. Results Patients in the coma group were significantly older, with a higher proportion of elderly patients ( ≥65 years of age), than those in the non-coma group. Although no marked difference in the basal insulin dose was observed between the two groups, the bolus insulin dose was significantly higher in the coma group. However, no marked differences in the disease type or renal function were noted between the two groups. Conclusion An advanced age and bolus insulin dose are risk factors for hypoglycemic coma in diabetic patients on insulin therapy. Bolus insulin dose minimization should be performed in order to prevent hypoglycemic coma, especially in elderly diabetic patients.
Two geometric input transformation methods for fast online reinforcement learning with neural nets

We apply neural nets with ReLU gates in online reinforcement learning. Our goal is to train these networks in an incremental manner, without the computationally expensive experience replay. By studying how individual neural nodes behave in online training, we recognize that the global nature of ReLU gates can cause undesirable learning interference in each node's learning behavior. We propose reducing such interferences with two efficient input transformation methods that are geometric in nature and match well the geometric property of ReLU gates. The first one is tile coding, a classic binary encoding scheme originally designed for local generalization based on the topological structure of the input space. The second one (EmECS) is a new method we introduce; it is based on geometric properties of convex sets and topological embedding of the input space into the boundary of a convex set. We discuss the behavior of the network when it operates on the transformed inputs. We also compare it experimentally with some neural nets that do not use the same input transformations, and with the classic algorithm of tile coding plus a linear function approximator, and on several online reinforcement learning tasks, we show that the neural net with tile coding or EmECS can achieve not only faster learning but also more accurate approximations. Our results strongly suggest that geometric input transformation of this type can be effective for interference reduction and takes us a step closer to fully incremental reinforcement learning with neural nets.
Evaluation of Misspeculation Impact on Chip-Multiprocessors Power Overhead

The main reason for low efficiency of data cache in chip-multiprocessors (CMPs) is the presence of dead blocks that are not accessed for a long time before eviction. The design inaccuracies degrade the performance of a system and cause huge power drainage. This demands effective prediction scheme for the early detection of dead block. This work, therefore, targets to study the impact of faults/inaccuracies in prediction (misspeculation) causing additional loss in processor power. Further, the power loss for misspeculation in data migration is evaluated. The analysis of experimental results reveals that the misspeculation needs to be avoided in CMPs to ensure effectiveness of such a system.
A Quantitative Study On How Emojis ’ Meanings Shift From West To East : A CIS 545 Report

Interpretations to emojis vary from culture to culture. For example, the folded-hand emoji often reminds western audiences of preyers, but would be no more than a "thank you" to native Japanese speakers. Such discrepancies have been long observed but hardly quantitatively measured. In this paper, I present a methodology of extracting the emotional components associated with each emoji from a large corpus, and – with selected emojis – demonstrate how to interpret the difference across corpora.
Instructional Leadership and Its Effect on the Teaching and Learning Process: the Case of Head teachers in Selected Basic Schools in the Central Province of Zambia

Research asserts that instructional leadership by head teachers affects the teaching and learning process positively and consequently leads to high pupil performance. The National Education Policy of 1996 in Zambia identifies instructional leadership by head teachers as a priority in enhancing the quality of teaching and learning in schools. The purpose of this study was to establish whether instructional leadership was being practiced in the selected Basic schools as stated by the National Policy on Education in Zambia. Thirty-two head teachers and one hundred and sixty teachers made up the sample and were selected using purposive sampling. Questionnaires, face to face interviews, focus group discussions and observations were used to collect data. The findings indicated that the head teachers who participated in this study were not practicing much instructional leadership and that this negatively affected the teaching and learning outcomes. The findings further indicated that the majority of the head teachers who participated in this study did not receive any training that prepared them for this role. The study recommends that the Ministry of Education, Science, Vocational Training and Early Education needs to review its policy to see whether its policy objectives are being implemented and the extent to which the policy is achieving its desired effects. The Ministry needs to review pre-service training programs in order to incorporate training in education administration and leadership and further to expand and strengthen the in-service training programmes for head teachers at the National In-service College and create more institutions that will offer similar programmes.
Dermatological alterations in women working on dairy farm: a case study

The present study aims to identify dermatological alterations due to the work carried out by women on dairy farms and presents an intervention process on dermatology health with women working in these locations. It is a quasi-experimental study, in an intervention form, in which each subject is independent. It was performed with 20 women working on a dairy farm in Rio Grande, Rio Grande do Sul, Brazil, between July and October 2011. Most (60%) women identified dermatological changes due to the work. During the intervention, dermatological care action was focused on. The knowledge of these results offers valuable information for those who teach and advice people about dermatological care in rural working places, where such rates of occurrence are high.
Implementation, Simulation and Synthesis of RSA Cryptosystem

: In this paper, we present a methodology to develop 64-bit RSA encryption engine on FPGA that can be used as a standard device in the secured communication system. The RSA algorithm has three parts i.e. key generation, encryption and decryption. The algorithm also requires random prime numbers for processing and generation of public and private key. We use right-to-left-binary method for the exponent calculation. This reduces the number of cycles enhancing the performance of the system and reducing the area usage of the FPGA. These blocks are coded in Verilog and are synthesized using Cadence RC Compiler tool and simulated in ModelSim-Altera Student Edition.
High-density CMOS microelectrode array system for impedance spectroscopy and imaging of biological cells

A monolithic measurement platform was implemented to enable label-free in-vitro electrical impedance spectroscopy measurements of cells on multi-functional CMOS microelectrode array. The array includes 59,760 platinum microelectrodes, densely packed within a 4.5 mm × 2.5 mm sensing region at a pitch of 13.5 μm. The 32 on-chip lock-in amplifiers can be used to measure the impedance of any arbitrarily chosen electrodes on the array by applying a sinusoidal voltage, generated by an on-chip waveform generator with a frequency range from 1 Hz to 1 MHz, and measuring the respective current. Proof-of-concept measurements of impedance sensing and imaging are shown in this paper. Correlations between cell detection through optical microscopy and electrochemical impedance scanning were established.
Learning Patch-Based Dynamic Graph for Visual Tracking

Existing visual tracking methods usually localize the object with a bounding box, in which the foreground object trackers/detectors are often disturbed by the introduced background information. To handle this problem, we aim to learn a more robust object representation for visual tracking. In particular, the tracked object is represented with a graph structure (i.e., a set of non-overlapping image patches), in which the weight of each node (patch) indicates how likely it belongs to the foreground and edges are also weighed for indicating the appearance compatibility of two neighboring nodes. This graph is dynamically learnt (i.e., the nodes and edges received weights) and applied in object tracking and model updating. We constrain the graph learning from two aspects: i) the global low-rank structure over all nodes and ii) the local sparseness of node neighbors. During the tracking process, our method performs the following steps at each frame. First, the graph is initialized by assigning either 1 or 0 to the weights of some image patches according to the predicted bounding box. Second, the graph is optimized through designing a new ALM (Augmented Lagrange Multiplier) based algorithm. Third, the object feature representation is updated by imposing the weights of patches on the extracted image features. The object location is finally predicted by adopting the Struck tracker. Extensive experiments show that our approach outperforms the state-of-the-art tracking methods on two standard benchmarks, i.e., OTB100 and NUS-PRO.
Preliminary Interpretations of Coyote Population Mechanics with Some Management Implications

The need for control of coyote (Canis latrans) depredations and a simultaneous demand for recognition of the aesthetic and ecologic values of the species create a conflict in resource utilization that should be resolved through more intensive management. A coyote population model is proposed from current estimates of density, reproduction, population structure, and mobility. Densities of 0.5 to 1.0 coyote per square mile are frequently suggested, with occasional estimates of 4.0 or more per square mile. Reproductive rates fluctuate as functions of the proportion of females that ovulate, the average number of ova shed, and in utero viabilities. Average litter sizes of 4.3 to 6.9 seemed to be inversely related to population density. Age structure of unexploited populations suggests a 40 percent annual mortality for coyotes over 1 year of age, with relatively high survival rates between 4 and 8 years of age. Movement patterns are not well understood, particularly with regard to home range arid dispersal, although indications are that females may be prone to longer treks than males. Implications of the coyote population model that may be applicable in control technology, particularly with respect to general population suppression, temporary and local problems, intensive reductional programs, and efforts to reduce infiltration rates into high risk areas, are discussed . Until recently, management of the larger North American carnivores has been oriented toward removal of animals or species where their presence appeared to jeopardize human safety or toward economic or sporting interests. Now these same animals are also in demand for aesthetic and recrea18 tional purposes. The current ambiguity presents a duality in management that can be achieved only through a better understanding of the entire spectrum of species values, more intimate biological knowledge, and more precise techniques. In short, this means more intensive management. 370 Juurnal of Wildlife Managcmcllt, Vol. 30, No.2, April 1972 Population models are useful tools in understanding population processes, systematizing ecologic relationships, and for devising and implementing management practices. In the latter case, such models could serve as a basis for providing sustained yields of game and furbearing animals, preventing agricultural depredations, limiting numbers below epizootic thresholds, and encouraging populations for aesthetic enjoyment. However, demographic models for carnivores are scarce. This discussion will explore some parameters of coyote populations (namely density, reproduction, population structure, and movements ), formulate a provisional population model, and suggest some implications for management of coyotes. The findings and interpretations presented here reflect the cooperation and assistance rendered by District Field Assistants and their supervisors in the Division of Wildlife Services in Texas. Credits are also due C. J. Carley and R. T. McBride for their efforts and critiques, and to Ann Jones for editorial review of the manuscript. POPULATION PARAMETERS
A Coevolutionary Approach to Experience-based Optimization

Solvers for hard optimization problems are usually built to solve a set of problem instances (e.g., a problem class), rather than a single one. It would be desirable if the performance of a solver could be enhanced as it solves more problem instances, i.e., gains more experience. This paper studies how a solver could be enhanced based on its past problem-solving experiences. Specifically, we focus on offline methods which can be understood as a training process of solvers before deploying them. Previous research arising from different aspects are first reviewed in a unified context, termed experience-based optimization. The existing methods mainly deal with the two issues in training, i.e., training instance selection and adapting the solver to the training instances, in two independent phases, although these two issues are correlated since the performance of the solver is dependent on the instances on which it is trained. Hence, a new method, dubbed LiangYi, is proposed to address these two issues simultaneously. LiangYi maintains a set of solvers and a set of instances. In the training process, the two sets co-evolve and compete against each other, so that LiangYi can iteratively identify new training instances that are challenging for the current solver ∗Corresponding author Email addresses: liuscyyf@mail.ustc.edu.cn (Shengcai Liu), ketang@ustc.edu.cn (Ke Tang), bernhard.sendhoff@honda-ri.de (Bernhard Sendhoff), xiny@sustc.edu.cn (Xin Yao) Preprint submitted to Journal of LTEX Templates April 18, 2018 ar X iv :1 70 3. 09 86 5v 2 [ cs . N E ] 1 7 A pr 2 01 8 population and improve the current solvers. An instantiation of LiangYi on the Travelling Salesman Problem is presented. Empirical results on a test set containing 10000 instances showed that LiangYi could evolve solvers that perform significantly better than the solvers trained by other state-of-the-art training methods. Empirical studies on the behaviours of LiangYi also confirmed that it was able to continuously improve the solver through coevolution.
One-on-One Demonstration : Making Shapes

This demonstration showcases the different use cases of Artificial Intelligence (AI) in education by introducing students to applications of the Scribbler robot with the Fluke board in order to cultivate an interest in programming, robotics, and AI. The targeted audience for this is students aged eight through twelve. This demonstration uses three Scribbler robots to introduce students to common tools in AI (OpenCV and Tesseract), and teach them the basics of coding in an interactive, unintimidating way; by physically describing the goals of simple shape-building algorithms and implementing them using cards with both visual and written representations of the instructions.
Comparison of Adults With Polyarticular Juvenile Idiopathic Arthritis to Adults With Rheumatoid Arthritis

Background/Objective Many individuals with juvenile idiopathic arthritis (JIA) have persistent disease into adulthood. Polyarticular JIA (pJIA) is often mislabeled as rheumatoid arthritis (RA) in adult rheumatology clinics, and treatment for adult pJIA patients is not well defined. We aimed to describe clinical features and medication use in the adult pJIA population in relation to an RA control cohort. Methods We performed a cross-sectional study of 45 adults with pJIA and 94 with RA seen from 2013 to 2017. Clinical characteristics including RA classification criteria were compared using χ2 and McNemar tests. Medication use was analyzed focusing on tumor necrosis factor inhibitor (TNFi) survival, and an accelerated failure-time model was developed for time to methotrexate initiation. Results Polyarticular JIA patients were less likely to be rheumatoid factor or cyclic citrullinated peptide antibody positive; fewer than half of pJIA subjects met the RA 2010 American College of Rheumatology/European League Against Rheumatism Classification Criteria. Time from diagnosis to methotrexate initiation was associated with longer disease duration in both groups (p < 0.01). Current TNFi use was more prevalent in pJIA patients (49% vs. 18%, p < 0.01), and TNFi use, particularly for etanercept, was sustained longer with a median drug survival of 4.41 years compared with 0.70 years in RA patients (p < 0.01). Conclusions Although often considered together in adult rheumatology practice, adults with pJIA are distinct from patients with RA. Medication use markedly differed between the 2 populations with greater prevalence and duration of TNFi use in pJIA patients. Further study is needed to improve outcomes in this unique population.
Diseminación monoclonal de Klebsiella pneumoniae productora de CTX-M-15 multirresistente. Impacto de las medidas para controlar el brote

RESUMEN Objetivo Describimos un brote por Klebsiella pneumoniae productora de β-lactamasas de espectro extendido multirresistente (KPN-BLEE-MDR) y el impacto de las medidas de control. Material y métodos Revisamos las historias clínicas de los pacientes con aislamiento de KPN-BLEE-MDR durante 2013-2016 con resistencia a fluoroquinolonas, aminoglucósidos, fosfomicina y nitrofurantoína, sensibilidad a imipenem, meropenem, colistina, tigeciclina y variable a ertapenem y cotrimoxazol (Vitek-2). La relación genética entre 35 aislados se estableció mediante PFGE y MLST. En enero de 2016 se implantaron medidas para el control del brote. Resultados Detectamos 269 pacientes colonizados y/o infectados por KPN-BLEE-MDR con un fenotipo de resistencia común; las cepas estudiadas portaban el gen blaCTX-M-15 y formaban un único clúster perteneciente al ST11. El brote se detectó a finales de 2015, con origen en 2013 en una residencia de mayores. La adquisición de las cepas fue: 6% comunitaria, 37% hospitalaria (76% en medicina interna) y 57% relacionada con asistencia sanitaria (78% de ingresos en el último año). El 94% presentó al menos una patología de base, el 90% había recibido antibióticos previamente y el 49% presentó algún tipo de instrumentación. Tras implantar las medidas de control el número de colonizados/infectados trimestral pasó de 29 a 15. Conclusiones En 2015 detectamos un brote monoclonal de KPN-CTX-M-15-MDR relacionado fundamentalmente con la asistencia sanitaria. El éxito de su difusión se debió al retraso en su detección y a que la mayoría de los pacientes había recibido antibióticos previamente. Las medidas adoptadas para su control redujeron en un 50% el número de aislamientos.
Antidementia drug use in Japan: Bridging the research‐to‐practice gap

In 2015, there were 47 million people with dementia worldwide. The overall number of people with dementia is projected to reach 132 million in 2050, 51% of whom will be from Asian countries. Japan has the highest prevalence of dementia among the OECD countries, where 2% of inhabitants (5 million) are living with dementia. There are significant unmet needs regarding the effectiveness of antidementia drug use in real‐world settings. Populations in settings of clinical trials on antidementia drugs generally deviate from those in clinical practice settings (eg, exclusion of people aged ≥85 years).