Miracle-dz/UniFAR-FTUs huggingface dataset:
Type 2 Diabetes Biomarkers of Human Gut Microbiota Selected via Iterative Sure Independent Screening Method

Type 2 diabetes, which is a complex metabolic disease influenced by genetic and environment, has become a worldwide problem. Previous published results focused on genetic components through genome-wide association studies that just interpret this disease to some extent. Recently, two research groups published metagenome-wide association studies (MGWAS) result that found meta-biomarkers related with type 2 diabetes. However, One key problem of analyzing genomic data is that how to deal with the ultra-high dimensionality of features. From a statistical viewpoint it is challenging to filter true factors in high dimensional data. Various methods and techniques have been proposed on this issue, which can only achieve limited prediction performance and poor interpretability. New statistical procedure with higher performance and clear interpretability is appealing in analyzing high dimensional data. To address this problem, we apply an excellent statistical variable selection procedure called iterative sure independence screening to gene profiles that obtained from metagenome sequencing, and 48/24 meta-markers were selected in Chinese/European cohorts as predictors with 0.97/0.99 accuracy in AUC (area under the curve), which showed a better performance than other model selection methods, respectively. These results demonstrate the power and utility of data mining technologies within the large-scale and ultra-high dimensional genomic-related dataset for diagnostic and predictive markers identifying.
Experimental investigate of heat transfer for graphene/water nanofluid in micro heat exchanger

In this investigation, the heat transfer characteristics of graphene nano platelets (GNPs)/water nanofluid were studied in a micro heat exchanger (MHE). The micro heat exchanger performance was also examined. The test setup was worked out in the laminar regime with Reynold numbers varying between 100 and 400GNPs/water nanofluid was prepared three different concentrations (0.025 wt. %, 0.05 wt. % and 0.1 wt. %) using ultrasonic wave. The influence of mass flow rate, inlet temperatures and weight fraction on the overall heat transfer coefficient (U) and logarithmic mean temperature (LMTD) were examined. The results showed considerable enhancement on the overall heat transfer coefficient of graphene/water nanofluid and the MHE effectiveness. A maximum enhancement on overall heat transfer coefficient was reached to 150% at Re=100 by 0.1wt% nanofluid. The effectiveness of micro heat exchanger was enhanced by increase weight fraction of graphene nanoparticle. Moreover, the experimental results showed that 0.1 wt. % GNPs/water nanofluid, flowing through MHE, has had high pressure drop, and pumping power, when it has been compared with 0.5 wt. % and 0.025 wt. %. In this investigation, the heat transfer characteristics of graphene nano platelets (GNPs)/water nanofluid were studied in a micro heat exchanger (MHE). The micro heat exchanger performance was also examined. The test setup was worked out in the laminar regime with Reynold numbers varying between 100 and 400GNPs/water nanofluid was prepared three different concentrations (0.025 wt. %, 0.05 wt. % and 0.1 wt. %) using ultrasonic wave. The influence of mass flow rate, inlet temperatures and weight fraction on the overall heat transfer coefficient (U) and logarithmic mean temperature (LMTD) were examined. The results showed considerable enhancement on the overall heat transfer coefficient of graphene/water nanofluid and the MHE effectiveness. A maximum enhancement on overall heat transfer coefficient was reached to 150% at Re=100 by 0.1wt% nanofluid. The effectiveness of micro heat exchanger was enhanced by increase weight fraction of graphene nanoparticle. Moreover, the experimental results showed that 0.1 w.
Candlestick Analysis based Short Term Prediction of Stock Price Fluctuation using SOM-CBR

Stock market analysis and prediction has been one of the widely studied and most interesting time series analysis problems till date. Many researchers have employed many different models, some of them are linear statistic based while some non linear regression, rule, ANN, GA and Fuzzy logic based. In this paper we have proposed a novel model that tries to predict short term price fluctuation, using Candlestick Analysis. This is a proven technique used for short term prediction of stock price fluctuation and market timing since many years. Our approach has been hybrid that combines Self Organizing Map with Case Based Reasoning to indentify profitable patterns (candlestick) and predicting stock price fluctuation based on the pattern consequences.
A Systematic Review of the Anal Fistula Plug for Patients With Crohn's and Non-Crohn's Related Fistula-in-Ano

BACKGROUND: The management of fistula-in-ano is a balance between fistula cure and preservation of continence. OBJECTIVE: The aim of this study is to summarize the anal fistula plug literature for Crohn's and non-Crohn's fistula-in-ano in a homogenous patient population. DATA SOURCES: PubMed, MEDLINE, Embase, and Cochrane medical databases were searched from 1995 to 2011. Abstracts from The American Society of Colon and Rectal Surgeons, The Society for Surgery of the Alimentary Tract, The European Society of Coloproctology, and the Association of Coloproctology of Great Britain and Ireland meetings between 2007 and 2010 were also evaluated. STUDY SELECTION: Studies were included if results for patients with and without Crohn's disease could be differentiated. Patients with rectovaginal, anovaginal, rectourethral, or ileal-pouch vaginal fistulas were excluded as were studies where the mean or median follow-up was less than 3 months. Two researchers independently selected studies matching the inclusion criteria. INTERVENTION: Anal fistula plug insertion was performed. MAIN OUTCOME MEASURES: The primary outcomes measured were the overall fistula closure rates and length of follow-up. RESULTS: Seventy-six articles or abstracts were identified from the title as being of relevance. Twenty studies (2 abstracts, 18 articles) were finally included. Study sample size ranged from 4 to 60 patients; 530 patients were included in all studies (488 non-Crohn's and 42 Crohn's patients). The plug extrusion rate was 8.7% (46 patients). The proportion of patients achieving fistula closure varied widely between studies for non-Crohn's, ranging from 0.2 (95% CI 0.04–0.48) to 0.86 (95% CI 0.64–0.97). The pooled proportion of patients achieving fistula closure in patients with non-Crohn's fistula-in-ano was 0.54 (95% CI 0.50–0.59). The proportion achieving closure in patients with Crohn's disease was similar (0.55, 95% CI 0.39–0.70). LIMITATIONS: This study was limited by the variability of operative technique and perioperative care between studies. CONCLUSIONS: Fistula closure is achieved by using the anal fistula plug in approximately 54% of patients without Crohn's disease. The anal fistula plug has not been adequately evaluated in the Crohn's population.
Background Television and Reading Memory in Context

Previous research has shown negative background television effects on reading comprehension and memory. This experiment addressed two questions about such negative effects: (a) Are these effects due to interference with processes of initial comprehension and memory encoding, processes of memory retrieval, or both? and (b) Are the effects of background TV stronger for recall or recognition memory? Possible compensating positive effects of background TV were also addressed: Can viewing similar background television content during recall as that viewed during reading improve memory through facilitative context effects? Participants read newspaper science articles with background TV or in silence and completed recall and recognition tests after a filled delay either with TV or in silence. Deleterious effects were obtained for recall memory only and resulted solely from the presence of background TV at the time of comprehension / encoding. No facilitative context effects were obtained by reinstating the same program at the time of recall as experienced at the time of reading.
Feasibility of Conducting a Longitudinal, Transnational Study of Filipino Migrants to the United States: A Dual-Cohort Design

Most studies of immigrant health are cross-sectional and fail to collect information prior to migration, leading to potential bias and confounding. The present pilot study examines the feasibility of studying migrants prospectively, with baseline data collected before migration. The study followed two cohorts of Filipinos for one year, a migrant cohort (n=27) that emigrated to the U.S. and a second non-migrant cohort (n=26) that remained in the Philippines. The one-year retention rate was 96%. The migrant cohort arrived in the U.S. within two months of their baseline assessment. Migrants and non-migrants did not differ with regard to body mass index, waist circumference, or waist to hip ratio at baseline or at follow-up. It is feasible to conduct a transnational, longitudinal study of two cohorts of Filipinos. This design provides important pre-migration information, is analogous to a natural experiment, can be upscaled, and allows for a rigorous examination of immigrant health.
Compliant movement primitives in a bimanual setting

Simultaneously achieving low trajectory errors and compliant control without explicit models of the task was effectively addressed with Compliant Movement Primitives (CMP). For a single-robot task, this means that it is accurately following its trajectory, but also exhibits compliant behavior in case of perturbations. In this paper we extend this kind of behavior without explicit models to cover bimanual tasks, where the relative motion of the robots is maintained. In the presence of an external perturbation on any of the robots, they will both move in synchrony in order to maintain their relative posture, and therefore not exert force on the object they are carrying. Thus, they will act compliantly in their absolute task, but remain stiff in their relative task. To achieve compliant absolute behavior and stiff relative behavior, we combine joint-space CMPs with the symmetric control approach used for bimanual robot configurations. To reduce the necessary feedback reaction of symmetric control, we further augment it by applying a virtual force vector at the end-effector, calculated through the measured external joint torques on the perturbed robot. Real-world results on two Kuka LWR-4 robots in a bimanual setting confirm the applicability of the approach.
The S. pombe Translation Initiation Factor eIF4G Is Sumoylated and Associates with the SUMO Protease Ulp2

SUMO is a small post-translational modifier, that is attached to lysine residues in target proteins. It acts by altering protein-protein interactions, protein localisation and protein activity. SUMO chains can also act as substrates for ubiquitination, resulting in proteasome-mediated degradation of the target protein. SUMO is removed from target proteins by one of a number of specific proteases. The processes of sumoylation and desumoylation have well documented roles in DNA metabolism and in the maintenance of chromatin structure. To further analyse the role of this modification, we have purified protein complexes containing the S. pombe SUMO protease, Ulp2. These complexes contain proteins required for ribosome biogenesis, RNA stability and protein synthesis. Here we have focussed on two translation initiation factors that we identified as co-purifying with Ulp2, eIF4G and eIF3h. We demonstrate that eIF4G, but not eIF3h, is sumoylated. This modification is increased under conditions that produce cytoplasmic stress granules. Consistent with this we observe partial co-localisation of eIF4G and SUMO in stressed cells. Using HeLa cells, we demonstrate that human eIF4GI is also sumoylated; in vitro studies indicate that human eIF4GI is modified on K1368 and K1588, that are located in the C-terminal eIF4A- and Mnk-binding sites respectively.
Verification of a Batch of Bad Signatures by Using the Matrix-Detection Algorithm

Batch verification is a method devised to verify multiple signatures as a whole simultaneously. In literatures, we can see that some conventional batch verification schemes cannot effectively and efficiently identity bad signatures. Small Exponent test, a popular batch verification method, has its own problems, e.g., after a test, bad signatures still exist with some escape probabilities. In this paper, we propose a batch verification approach, called Matrix-Detection Algorithm (MDA for short), with which when a batch of signatures has less than four bad signatures or odd number of bad signatures, all bad signatures can be identified. Given 1024 signatures with 4 bad signatures, the maximum escape probability pmax of the MDA is 5.3×10-5 , and max p decreases as digital signatures or bad signatures increase. Analytic results show that the MDA is more secure and efficient than the SET.
Consensus Problem Over High-Order Multiagent Systems With Uncertain Nonlinearities Under Deterministic and Stochastic Topologies

The leaderless consensus problem over a class of high-order nonlinear multiagent systems (MASs) is studied. A robust protocol is proposed which guarantees achieving consensus in the network in the presences of uncertainties in agents models. Achieving consensus in the case of stochastic links failure is studied as well. Based on the concept super-martingales, it is shown that if the probability of the network connectivity is not zero, under some conditions, achieving almost sure consensus in the network can be guaranteed. Despite existing consensus protocols for high-order stochastic networks, the proposed consensus protocol in this paper is robust to uncertain nonlinearities in the agents models, and it can be designed independent of knowledge on the set of feasible topologies (topologies with nonzero probabilities). Numerical examples for a team of single-link flexible joint manipulators with fourth-order models verify the accuracy of the proposed strategy for consensus control of high-order MASs with uncertain nonlinearities.
Current mode four-quadrant multiplier design using CNTFET

This paper proposes presents a low power and high-speed four-quadrant analog multiplier in the current mode based on dual translinear loops using 32nm CMOS and 32nm CNTFET technologies to investigate and compare the performance differences of the analog circuits on CNTFET technology and CMOS 32nm technology nodes. All the simulations were performed using hspice with 32nm CMOS from PTM library and 32nm CNTFET from Stanford University technologies at the same power supply level. CNTFET based multiplier shows a wider linearity over considerable range of outputs (-10 μA to +10μA) while the CMOS based multiplier shows (-7μA to +7μA) and the 3db frequency of the CNTFET based multiplier is 110GHz while the 3dB frequency of the CMOS based multiplier is only 2.45GHz.
Gate load delay computation using analytical models

With submicron technologies, gate delays are dominated by gate load delays rather than intrinsic gate delays. While the common approach for computing gate load delay (or total gate delay) is through delay tables (or k-factor equations), there are important methodology problems associated with the delay table approach. In this paper, we propose a gate driver model with a Thevenin equivalent circuit consisting of a ramp voltage source whose slew time is obtained from the gate slew tables, and a driver resistance in series with the gate load. We then develop analytical gate delay formulas using this Thevenin driver model and modeling the load with various gate load models under both rising and falling ramp input.
Folding is not required for bilayer insertion: Replica exchange simulations of an α‐helical peptide with an explicit lipid bilayer

We implement the replica exchange molecular dynamics algorithm to study the interactions of a model peptide (WALP‐16) with an explicitly represented DPPC membrane bilayer. We observe the spontaneous, unbiased insertion of WALP‐16 into the DPPC bilayer and its folding into an α‐helix with a transbilayer orientation. The free energy surface suggests that the insertion of the peptide into the DPPC bilayer precedes secondary structure formation. Although the peptide has some propensity to form a partially helical structure in the interfacial region of the DPPC/water system, this state is not a productive intermediate but rather an off‐pathway trap for WALP‐16 insertion. Equilibrium simulations show that the observed insertion/folding pathway mirrors the potential of mean force (PMF). Calculation of the enthalpic and entropic contributions to this PMF show that the surface bound conformation of WALP‐16 is significantly lower in energy than other conformations, and that the insertion of WALP‐16 into the bilayer without regular secondary structure is enthalpically unfavorable by 5–10 kcal/mol/residue. The observed insertion/folding pathway disagrees with the dominant conceptual model, 1–3 which is that a surface‐bound helix is an obligatory intermediate for the insertion of α‐helical peptides into lipid bilayers. In our simulations, the observed insertion/folding pathway is favored because of a large (>100 kcal/mol) increase in system entropy that occurs when the unstructured WALP‐16 peptide enters the lipid bilayer interior. The insertion/folding pathway that is lowest in free energy depends sensitively on the near cancellation of large enthalpic and entropic terms. This suggests the possibility that intrinsic membrane peptides may have a diversity of insertion/folding behaviors depending on the exact system of peptide and lipid under consideration. Proteins 2005. © 2005 Wiley‐Liss, Inc.
INV-ASKIT: A Parallel Fast Direct Solver for Kernel Matrices

We present a parallel algorithm for computing the approximate factorization of an N-by-N kernel matrix. Once this factorization has been constructed (with N log2 N work), we can solve linear systems with this matrix with N log N work. Kernel matrices represent pairwise interactions of points in metric spaces. They appear in machine learning, approximation theory, and computational physics. Kernel matrices are typically dense (matrix multiplication scales quadratically with N) and ill-conditioned (solves can require100s of Krylov iterations). Thus, fast algorithms for matrix multiplication and factorization are critical for scalability. Recently we introduced ASKIT, a new method, which resembles N-body methods, for approximating a kernel matrix. Here we introduce INV-IASKIT, a factorization scheme based on ASKIT. We describe the new method, derive complexity estimates, and conduct an empirical study of its accuracy and scalability. We report results on real-world datasets including "COVTYPE" (0.5M points in 54dimensions), "SUSY" (4.5M points in 8 dimensions) and "MNIST"(2M points in 784 dimensions) using shared and distributed memory parallelism. In our largest run we approximately factorize a dense matrix of size 32M × 32M (generated from points in 64 dimensions) on 4,096 Sandy-Bridge cores. To our knowledge these results improve the state of the art by several orders of magnitude.
An energy and emissions impact evaluation of intelligent speed adaptation

Excessive vehicle speed on today's roadways often results in accidents, high fuel consumption rates, and excessive pollutant emissions. Traditional methods of limiting speed have only been moderately effective. Using the latest intelligent transportation technology, speed enforcement can be enhanced through vehicle speed management programs, often referred to as intelligent speed adaptation (ISA). An ISA system monitors the location and speed of the vehicle, compares it to a defined set speed, and takes corrective action such as advising the driver and/or governing the top speed of the vehicle. ISA is an active research field in Europe where it is currently being evaluated. In addition to safety improvements, ISA has the potential to mitigate congestion by smoothing traffic flow during congested conditions, which may also lead to lower fuel consumption and pollutant emissions. In this paper, the energy and emissions impacts of ISA are investigated in detail using both simulation tools and real-world experimentation. This research makes use of state-of-the-art transportation/emissions modeling tools. The simulation analysis is focused on examining different speed management strategies under varying freeway congestion conditions. A set of limited real-world experiments have also been performed using real-time traffic information provided to an ISA-equipped vehicle driving in traffic. Results are compared to another non-equipped-ISA vehicle acting as a control, representing the general traffic flow. Preliminary results indicate that significant reductions are possible for both fuel consumption and emissions without drastically affecting travel time
Absorption and refractive index dynamics in waveguide semiconductor electroabsorbers

DTU Orbit (19/12/2018) Absorption and refractive index dynamics in waveguide semiconductor electroabsorbers This thesis describes the optical characterization of waveguide semiconductor electroabsorbers with an INGaAsP multiquantum well heterostructure. The investigations have focused on applying the electroabsorbers as electroabsorption modulators or as saturable absorbers. The components have been manufactures with the Danish research council sponsored SCOOP-programme (Semiconductor COmponents for Optical signal Processing) in collaboration with the Danish company GiGA-An Intel Company. The focus of the SCOOP-programme is to develop new semiconductor components for optical signal processing in telecommunication systems.Both the amplitude and phase transfer functions of electroabsorption modulators as function of reverse bias and wavelength, are measured using a heterodyne detection technique. With this information, the bias and wavelength dependent áH-parameter is calculated and so is the electroabsorption modulator response to a 10 Gb/s modulation of the bias. It is concluded that operation close to the absorption edge is advantageous both chirp-wise and with respect to lowering the drive voltage. This however becomes at the expense of a higher insertion loss. A comparison between a component with 10 shallow quantum wells and a component with 5 deep quantum wells shows that the shallow 10 quantum wells component is preferable with respect to chirp, extinction ratio and potentially also the insertion loss. Calculations of the refractive indes change confirms the measurements and show, that the fabricated electroabsorption modulators can generate high quality pulses for optical fiber transmission. The all-optical wavelength conversion and demultiplexing capabilities of the electroabsorbers, when operated as saturable absorbers, are investigated using femtosecond laser pulses in an amplitude and phase sensitive heterodyne pump-probe experiment. It is shown that the absorption can be bleached effectively by optical generation of carriers. The absorption recovery is measured as a function of pump pulse energy and reverse bias applied to the component and it is shown that a 10 ps switching window with 9.6 dB of extinction ratio can be realized. Teh sign of the refractive index change, induced by optical generation of carriers in the active region, is seen to depend both on the optical power and on the reverse bias applied to the saturable absorber. The trends of the observed refractive index dynamics are explained from a combination of band filling and field screening. It is concluded, that for the right bias and wavelength it is possible to wavelength convert into negatively chirped pulses.