Miracle-dz/UniFAR-FTUs huggingface dataset:
Implantable biosensors and their contribution to the future of precision medicine

Precision medicine can be defined as the prevention, investigation and treatment of diseases taking individual variability into account. There are multiple ways in which the field of precision medicine may be advanced; however, recent innovations in the fields of electronics and microfabrication techniques have led to an increased interest in the use of implantable biosensors in precision medicine. Implantable biosensors are an important class of biosensors because of their ability to provide continuous data on the levels of a target analyte; this enables trends and changes in analyte levels over time to be monitored without any need for intervention from either the patient or clinician. As such, implantable biosensors have great potential in the diagnosis, monitoring, management and treatment of a variety of disease conditions. In this review, we describe precision medicine and the role implantable biosensors may have in this field, along with challenges in their clinical implementation due to the host immune responses they elicit within the body. © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Design and Optimization of Microscale Magnetic Probes for Multi-Site Neural Stimulation

2 In this paper, we evaluate the ability of using microscale magnetic probes to evoke activating function potentially for multi-site magnetic-based neural stimulation. Two different designs, a conventional closed-winding coil array and a new open-winding coil array, are investigated using both analytical method in MATLAB and finite element method in Ansoft HFSS. The open-winding configuration is shown to improve spatial resolution and uniformity of magnetically induced activating function and reduce fabrication complexity. To prove the simulation results, device prototypes are fabricated based on the new open-winding configuration. Preliminary testing results are in agreement with the simulation
Global change in flood and drought intensities under climate change in the 1 7 *

10 Global warming is expected to intensify the Earth’s hydrological cycle and increase flood and 11 drought risks. Changes in global high and low streamflow extremes over the 21st century 12 under two warming scenarios are analyzed as indicators of hydrologic flood and drought 13 intensity, using an ensemble of bias-corrected global climate model (GCM) fields fed into 14 different global hydrological models (GHMs). Based on multi-model mean, approximately 15 37% and 43% of global land areas are exposed to increases in flood and drought intensities, 16 respectively, by the end of the 21st century under RCP8.5 scenario. The average rates of 17 increase in flood and drought intensities in those areas are projected to be 24.5% and 51.5%, 18 respectively. Nearly 10% of the global land areas are under the potential risk of simultaneous 19 increase in both flood and drought intensities, with average rates of 10.1 and 19.8%, 20 respectively; further, these regions tend to be highly populated parts of the globe, currently 21 holding around 30% of the world’s population (over 2.1 billion people). In a world more than 22 4 degrees warmer by the end of the 21 st century compared to the pre-industrial era (RCP8.5 23 scenario), increases in flood and drought intensities are projected to be nearly twice as large as 24 in a 2 degree warmer world (RCP2.6 scenario). Results also show that GHMs contribute to 25 more uncertainties in streamflow changes than the GCMs. Under both forcing scenarios, there 26 is high model agreement for significant increases in streamflow of the regions near and above 27 the Arctic Circle, and consequent increases in the freshwater inflow to the Arctic Ocean, 28 while subtropical arid areas experience reduction in streamflow. 29 4 Civil Engineering Department and NOAA-CREST, The City College of New York, 5 City University of New York, New York, USA; basadie00@citymail.cuny. edu; 6 nkrakauer@ccny.cuny. edu 2 21 st century 3 Behzad Asadieh*, Nir Y. Krakauer Hydrol. Earth Syst. Sci. Discuss. , https://doi.org/10.5194/hess-2017-253 Manuscript under review for journal Hydrol. Earth Syst. Sci. Discussion started: 15 June 2017 c © Author(s) 2017. CC BY 3.0 License.
ÁAAAAAAAAAAAAAAAAAAAAAAAÁAAAAAAAAAAAAAAAAAAAAAAA RTÍCULO Search-and-rescue using team of robots

In this paper a method of autonomous space searching is described. The task is to search the given area and to find lost objects (e.g. injured people or bombs) as fast as possible. The given area is a building which is divided into rooms. It is assumed that the lost objects are located in groups and finding one object suggests there are more lost objects in the room. Robots divide the area and each robot searches its room. If it finds a lost object it broadcasts the information to whole team and the negotiation mechanism starts. The robots which win the auction, cancel their task and go to the room, where the lost object was found, to find other objects faster. A prototype system was realized in a symulator written in the Java language.
Title : Storm-time ring current : model-dependent results Year : 2012 Version : Final

The main point of the paper is to investigate how much the modeled ring current depends on the representations of magnetic and electric fields and boundary conditions used in simulations. Two storm events, one moderate (SymH minimum of−120 nT) on 6–7 November 1997 and one intense (SymH minimum of −230 nT) on 21–22 October 1999, are modeled. A rather simple ring current model is employed, namely, the Inner Magnetosphere Particle Transport and Acceleration model (IMPTAM), in order to make the results most evident. Four different magnetic field and two electric field representations and four boundary conditions are used. We find that different combinations of the magnetic and electric field configurations and boundary conditions result in very different modeled ring current, and, therefore, the physical conclusions based on simulation results can differ significantly. A time-dependent boundary outside of 6.6 RE gives a possibility to take into account the particles in the transition region (between dipole and stretched field lines) forming partial ring current and near-Earth tail current in that region. Calculating the model SymH* by Biot-Savart’s law instead of the widely used Dessler-Parker-Sckopke (DPS) relation gives larger and more realistic values, since the currents are calculated in the regions with nondipolar magnetic field. Therefore, the boundary location and the method of SymH* calculation are of key importance for ring current data-model comparisons to be correctly interpreted.
Unidad Hospitalaria de Patología Dual Grave: un año de experiencia

Se trata de un estudio observacional, descriptivo, transversal en el que se incluyeron los pacientes ingresados en la Unidad de Hospitalizacion del Programa de Patologia Dual Grave (UHPPDG) durante un ano. Los datos sociodemograficos, clinicos y farmacologicos se obtuvieron mediante hojas de recogida de datos disenadas al efecto. El total de pacientes ingresados fue de 82 en cuyo perfil prevalecen los varones con una edad media de 36,7 anos, derivados del subprograma ambulatorio del propio Programa de Patologia Dual Grave (PPDG) y con ingreso de tipo involuntario. El diagnostico psiquiatrico mas frecuente fue el trastorno psicotico, especialmente la Esquizofrenia Paranoide. Las sustancias toxicas mas consumidas fueron: alcohol (33 %), cocaina (26 %) y el cannabis (20 %). Dentro de las tecnicas psicoterapicas destaca la Terapia Psicoeducativa Motivacional Breve-Dual (TPMB-D), de formato grupal, en la que participaron alrededor de 2/3 de los pacientes. El grupo de farmacos mas utilizados fueron los antipsicoticos (quetiapina [60%] y la risperidona inyectable de larga duracion (RILD). En el grupo de pacientes con Dependencia/Abuso de Alcohol, los antipsicoticos mas utilizados fueron la quetiapina y la tiaprida (43%). Los antidepresivos se utilizaron en el 37% de los casos, especialmente la duloxetina. En el grupo con Dependencia/ Abuso de Cocaina, la Esquizofrenia es el trastorno comorbido mas prevalente (75%), y los antipsicoticos el grupo farmacologico mas prescrito, en especial la RILD (91%). Entre los pacientes multi-dependientes la asociacion mas frecuente fue la Dependencia de Opiaceos y Cocaina (56%). El diagnostico comorbido mas frecuente en este grupo fue la Esquizofrenia. Resumen
Title Earthquake risk and housing rents : Evidence from the Tokyo Metropolitan Area

We estimate the extent of earthquake risk aversion in housing rents using a 1998 hazard map of the Tokyo Metropolitan Area. These rents reflect earthquake risk generally and the interaction between the earthquake–resistant quality of construction and the risk aversion of households. We find that housing rents are substantially lower in risky areas than in safer areas, even after controlling for other possible effects, and that the rent of an apartment built prior to the Building Standard Law being amended is discounted more substantially in risky areas than those built after this date. In addition, according to a cost–benefit analysis based on these estimation results, investment in earthquake–proof structures is profitable for landlords who own older wood–framed apartment buildings in relatively risky areas given the current level of the government subsidy introduced in 2002.
Object Control Invariants

Sharing mutable data (via aliasing) is a powerful programming technique. To facilitate sharing, object-oriented programming languages permit the programmer to selectively break encapsulation boundaries. However, sharing data makes programs harder to understand and reason about, because, unlike encapsulated data, shared data cannot be reasoned about in a modular fashion. This paper presents object control invariants: a set of program properties to help programmers understand and reason about shared data.
A GUIDING CENTER HAMILTONLAN: A NEW APPROACH

A Hamiltonian treatment of the guiding center problem is given which employs noncanonical coordinates in phase space. Separation of the unperturbed system from the perturbation is achieved by using a coordinate transformation suggested by a theorem of Darboux. As a model to illustrate the method, motion in the magnetic field ~ = B(x,y)z is studied. Lie transforms are used to carry out the perturbation expansion. l. INTRODUCTION In this paper I will report on a new approach to a Hamiltonian formulation of the guiding center problem, an approach which leads to a remarkably deep insight into the formal structure of classical Hamiltonian mechanics. This insight is not new, in the sense that the natural mathematical apparatus for an abstract description of Hamiltonian mechanics is that of differential geometry, and differential geometry has been exhaustively studied by mathematicians. Nevertheless, even those mathematicians who have explicitly concerned themselves with Hamiltonian mechanics have tended to use a language and a notation which is difficult for most physicists. Among these we might mention Abraham l , Vinogradov and Kupershmidt,2 and Arnold. 3 * Work was supported by the Office of Fusion Energy of the U.S. Department of Energy under contract No. W-7405-ENG-48.
lasma epidermal growth factor receptor mutation testing with a hip-based digital PCR system in patients with advanced non-small ell lung cancer

Objectives: Epidermal growth factor receptor (EGFR) mutation testing is a companion diagnostic to determine eligibility for treatment with EGFR tyrosine kinase inhibitors (EGFR-TKIs) in non-small cell lung cancer (NSCLC). Recently, plasma-based EGFR testing by digital polymerase chain reaction (dPCR), which enables accurate quantification of target DNA, has shown promise as a minimally invasive diagnostic. Here, we aimed to evaluate the accuracy of a plasma-based EGFR mutation test developed using chipbased dPCR-based detection of 3 EGFR mutations (exon 19 deletions, L858R in exon 21, and T790M in exon 20). Materials and methods: Forty-nine patients with NSCLC harboring EGFR-activating mutations were enrolled, and circulating free DNAs (cfDNAs) were extracted from the plasma of 21 and 28 patients before treatment and after progression following EGFR-TKI treatment, respectively. Results: Using reference genomic DNA containing each mutation, the detection limit of each assay was determined to be 0.1%. The sensitivity and specificity of detecting exon 19 deletions and L858R mutations, calculated by comparing the mutation status in the corresponding tumors, were 70.6% and 93.3%, and 66.7% and 100%, respectively, showing similar results compared with previous studies. T790M was detected in 43% of 28 cfDNAs after progression with EGFR-TKI treatment, but in no cfDNAs before the start of the treatment. Conclusion: This chip-based dP invasive method in clinical set Abbreviations: ARMS, amplification refractory mutation system; BEAMing, beads, em nterval; ddPCR, droplet digital polymerase chain reaction; dPCR, digital polymerase cha actor receptor tyrosine kinase inhibitors; JAK2, Janus kinase 2; NSCLC, non-small cell lun ∗ Corresponding author at: Division of Thoracic Oncology, Shizuoka Cancer Center, 100 ∗∗ Corresponding author at: Drug Discovery and Development Division, Shizuoka Canc hizuoka 411-8777, Japan. E-mail addresses: h.kenmotsu@scchr.jp (H. Kenmotsu), m.serizawa@scchr.jp (M. Seriz 1 Both of the corresponding authors equally contributed to this study. ttp://dx.doi. org/10.1016/j.lungcan. 2017.02. 001 169-5002/© 2017 Elsevier B.V. All rights reserved. CR assay can facilitate detection of EGFR mutations in cfDNA as a minimally tings. © 2017 Elsevier B.V. All rights reserved. ulsions, amplification and magnetics; cfDNA, circulating free DNA; CI, confidence in reaction; EGFR, epidermal growth factor receptor; EGFR-TKI, epidermal growth g cancer; PFS, progression-free survival; RR, response rate; SD, standard deviation. 7 Shimonagakubo, Nagaizumi-chou, Suntou-gun, Shizuoka 411-8777, Japan. er Center Research Institute, 1007 Shimonagakubo, Nagaizumi-chou, Suntou-gun,
LEARNING-BASED AUTOMATIC MODULATION CLASSIFICATION by Ameen

Automatic Modulation Classification (AMC) is a new technology implemented into communication receivers to automatically determine the modulation type of a received signal. One of the main applications of AMC is in adaptive modulation systems, where the modulation scheme is changed dynamically according to the changes in the wireless channel. However, this requires the receiver to be continuously informed about the modulation type, resulting in a loss of bandwidth efficiency. The existence of smart receivers that can automatically recognize the modulation type improves the utilization of available bandwidth. In this thesis, a new AMC algorithm based on a Hierarchical Polynomial Classifier structure is introduced. The proposed system is tested for classifying BPSK, QPSK, 8-PSK, 16-QAM, 64-QAM and 256-QAM modulation types in Additive White Gaussian Noise (AWGN) and flat fading environments. Moreover, the system uses High Order Cumulants (HOCs) of the received signal as discriminant features to distinguish between the different digital modulation types. The proposed system divides the overall modulation classification problem into hierarchical binary sub-classification tasks. In each binary sub-classification, the HOC inputs are expanded into a higher dimensional space in which the two classes are linearly separable. Furthermore, the signal-to-noise ratio of the received signal is estimated and fed to the proposed classifier to improve the classification accuracy. Another modification is added to the proposed system by using stepwise regression optimization for feature selection. Hence, the input features to the classifier are chosen to give the highest classification accuracy while maintaining a minimum number of possible features. Extensive simulations showed that a significant improvement in classification accuracy and reduction in the system complexity is obtained compared to the previously suggested systems in the literature. Search Terms: Adaptive Modulation, Automatic Modulation Classification (AMC), Hierarchical Polynomial Classifiers (HPC), SNR Estimation, Stepwise Regression.
Study of Iron Status in type 2 Diabetes mellitus

Type 2 diabetes mellitus is a clinical condition characterized by hyperglycemia due to the absolute or relative deficiency of insulin. It is also followed by pathological abnormalities like impaired insulin secretion, peripheral insulin resistance, and excessive hepatic glucose production. The objective is to study the levels of Serum Ferritin, Total Iron Binding Capacity, Iron and Hemoglobin in Type 2 Diabetes patients. A total of 120 subjects were included in this study (60 with type 2 Diabetes Mellitus, and 60 normal subjects). Fasting plasma glucose tests were done on blood samples collected after overnight fasting and 2-hour post-prandial plasma glucose was also done along with iron, total iron binding capacity (TIBC), Ferritin and hemoglobin. The level of serum Ferritin which is considered a sensitive marker of iron status was significantly higher in diabetic group. The other parameters like Hemoglobin, TIBC and Iron do not show any positive correlation. We can conclude that Serum Ferritin can be considered as sensitive marker of iron status in Diabetic group. Serum Ferritin can be assessed in non-Diabetic first-degree relatives of diabetic people for identifying the risk.
PR ] 1 O ct 2 01 5 TRANSIENT ONE-DIMENSIONAL DIFFUSIONS CONDITIONED TO CONVERGE TO A DIFFERENT LIMIT

Let (Xt)t≥0 be a regular one-dimensional diffusion that models a biological population. If one assumes that the population goes extinct in finite time it is natural to study the Q-process associated to (Xt)t≥0. This is the process one gets by conditioning (Xt)t≥0 to survive into the indefinite future. The motivation for this paper comes from looking at populations that are modeled by diffusions which do not go extinct in finite time but which go ‘extinct asymptotically’ as t → ∞. We look at transient one-dimensional diffusions (Xt)t≥0 with state space I = (l,∞) such that Xt → l as t → ∞, P-almost surely for all x ∈ I. We ‘condition’ (Xt)t≥0 to go to ∞ as t → ∞ and show that the resulting diffusion is the Doob h-transform of (Xt)t≥0 with h = s where s is the scale function of (Xt)t≥0. Finally, we explore what this conditioning does in two examples.
Community and International Nutrition Once-Weekly and 5-Days a Week Iron Supplementation Differentially Affect Cognitive Function but Not School Performance in Thai Children 1

Many studies have reported comparable hemoglobin response in subjects given intermittent and daily iron supplements. However, the effect of intermittent iron supplementation on impaired cognitive function, one of the serious consequences of iron deficiency among children, has not been studied. We investigated the effects of 1 d/wk (weekly) and 5 d/wk (daily) iron supplementation on changes in results of intelligence quotient (IQ), Thai language, and mathematics tests among Thai primary schoolchildren. A double-blind, randomized, placebo-controlled trial was conducted. Primary schoolchildren (n 397) were randomly assigned to receive iron supplements daily or weekly or placebo. Ferrous sulfate (300 mg) or placebo tablets were given under direct observation by the researcher for 16 wk. Changes in IQ, and Thai language and mathematics scores were then compared. The increases in hemoglobin concentration were comparable in the weekly and daily iron supplementation groups but serum ferritin increased more in the children supplemented daily. Children receiving daily iron supplements, however, had a significantly lower increase in IQ (3 12 points) than those receiving the supplement weekly (6 12 points) or placebo (6 12 points), whereas the last-mentioned two groups did not differ. Z-scores of Thai language and mathematics test results did not differ among the groups. We conclude that weekly iron supplementation is the regimen of choice in this study community. J. Nutr. 134: 2349 –2354, 2004.
Design of Dual Frequency Antenna for Global Positioning System

In recent years low profile, light weight antennas are preferred for the applications which need mobility. In this research the polygonal-shape Microstrip Single Patch Antenna has been designed for GPS dual resonant frequencies (GPS L1 1.575 GHz & L5 1.176 GHz band). Simulated results for main parameters such as return loss, bandwidth, radiation patterns and gains are also discussed herein. The Designing, Simulation & Optimization of this antenna is done in ADS Software. Result of the simulation shows at 1.575 GHz and 1.176 GHz, the antenna has return loss at -20.862 dB and -14.162 dB respectively.
A Compact Representation for 3 D Animation Using Octrees and Affine Transformations YouyouWang and

This paper presents a new and compact 3D representation for nonrigid objects using the motion vectors between two consecutive frames. Our method relies on an Octree to recursively partition the object into smaller parts. Each part is then assigned a small number of motion parameters that can accurately represent that portion of the object. Finally, an adaptive thresholding, a singular value decomposition for dealing with singularities, and a quantization and arithmetic coding further enhance our proposed method by increasing the compression while maintaining very good signal-noise ratio. Compared to other methods that use tri-linear interpolation, Principle Component Analysis (PCA), or non-rigid partitioning (e.g., FAMC) our algorithm combines the best attributes in most of them. For example, it can be carried out on a frame-to-frame basis, rather than over long sequences, but it is also much easier to compute. In fact, we demonstrate a computation complexity of Θ(n2) for our method, while some of these methods can reach complexities of O(n3) and worse. Finally, as the result section demonstrates, the proposed improvements do not sacrifice performance since our method has a better or at least very similar performance in terms of compression ratio and PSNR.
Spatial uncertainty analysis of ecological models GIS / EM 4

Abstract We evaluated the sensitivity of a habitat model and a source-sink population model to spatial uncertainty in landscapes with different statistical properties and for hypothetical species with different habitat requirements. Sequential indicator simulation generated alternative landscapes from a source map. Our results showed that spatial uncertainty was highest for landscapes in which suitable habitat was rare and spatially uncorrelated. Although, we were able to exert some control over the degree of spatial uncertainty by varying the sampling density drawn from the source map, intrinsic spatial properties (i.e., average frequency and degree of spatial autocorrelation) played a dominant role in determining variation among realized maps. To evaluate the ecological significance of landscape variation, we compared the variation in predictions from a simple habitat model to variation among landscapes for three species types. Spatial uncertainty in predictions of the amount of source habitat depended on both the spatial life history characteristics of the species and the statistical attributes of the synthetic landscapes. Species differences were greatest when the landscape contained a high proportion of suitable habitat. The predicted amount of source habitat was greater for edge-dependent (interior) species in landscapes with spatially uncorrelated(correlated) suitable habitat. A source-sink model demonstrated that, although variation among landscapes resulted in relatively little variation in overall population growth rate, this spatial uncertainty was sufficient in some situations, to produce qualitatively different predictions about population viability (i.e., population decline vs. increase).