Miracle-dz/UniFAR-FTUs huggingface dataset:
Exact shearing box solutions of magnetohydrodynamic flows with resistivity, viscosity and cooling

Axisymmetric incompressible modes of the magnetorotational instability (MRI) with a vertical wavenumber are exact solutions of the non-linear local equations of motion for a disc (shearing box). They are referred to as 'channel solutions'. Here, we generalize a class of these solutions to include energy losses, viscous, and resistive effects. In the limit of zero shear, we recover the result that torsional Alfven waves are exact solutions of the non-linear equations. Our method allows the extension of these solutions into the dissipative regime. These new solutions serve as benchmarks for simulations including dissipation and energy loss, and to calibrate numerical viscosity and resistivity in the ZEUS3D code. We quantify the anisotropy of numerical dissipation and compute its scaling with time and space resolution. We find a strong dependence of the dissipation on the mean magnetic field that may affect the saturation state of the MRI as computed with ZEUS3D. It is also shown that elongated grid cells generally preclude isotropic dissipation and that a Courant time-step smaller than that which is commonly used should be taken to avoid spurious anti-diffusion of magnetic field.
Monodromy representations of the braid group 1

Chiral conformal blocks in a rational conformal ﬁeld theory are a far going extension of Gauss hypergeometric functions. The associated monodromy representations of Artin’s braid group B n capture the essence of the modern view on the subject, which originates in ideas of Riemann and Schwarz. Physically, such monodromy representations correspond to a new type of braid group statistics, which may manifest itself in two-dimensional critical phenomena, e.g. in some exotic quantum Hall states. The associated primary ﬁelds satisfy R matrix exchange relations. The description of the internal symmetry of such ﬁelds requires an extension of the concept of a group, thus giving room to quantum groups and their generalizations. We review the appearance of braid group representations in the space of solutions of the Knizhnik–Zamolodchikov equation, with an emphasis on the role of a regular basis of solutions which allows us to treat the case of indecomposable representations of B n as well.
Design and implementation of a Java-based search engine algorithm analysis system

In this article, one system used to auto analyzing and verifying search engine algorithm via using statistical principles and comparisons is suggested, and we call it as SEOAdvisor. The system can predict and verify ranking algorithm used in popular search engines via capturing and comparing web pages listed on top of search engine results page (SERP) automatically. With this system, search engine optimization experts can let website getting high ranking via optimizing website. During the implementation of SEOAdvisor, we use Eclipse RCP software design approach, Java multi-thread, and other advanced programming technologies.
Combinatorial Bids based Multi-robot Task Allocation Method

How to coordinate several robots to cooperatively accomplish relatively complex tasks is not an easy issue. This paper presents a combinatorial bids based multi-robot task allocation method. The proposed method provides an explicit cooperation mechanism to the bidding robots so that they can form a group to bid for complex tasks. Some carefully designed simulations indicate that this method is more efficient than the typical auction based one in some situations.
Snail Density Prediction for Schistosomiasis Control Using Ikonos and ASTER Images

Schistosomiasis is a water-borne parasitic disease endemic in tropical and subtropical areas. Its transmission depends upon the presence of snails, which serve as intermediate hosts for the parasite. Some efforts have been made to classify snail habitats with remotely sensed data, but not to estimate snail abundance that is an important parameter in schistosomiasis transmission modeling. In this research, snail density was predicted by integrating the field survey and satellite images of different spatial resolution. A mountainous environment near Xichang city, in southwest Sichuan province, China, was chosen as the test site. Land-cover and land-use information extracted from 4 m resolution Ikonos data and elevation data derived from ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) data were used as reference for scaling up to greater spatial extents. Therefore, we estimated land-cover and land-use fraction data at the 30 m resolution level based on classification results from the Ikonos data. Snail abundance for each 30 m resolution grid was then predicted by regressing field survey data with land-cover and land-use fractions. Subsequently, a snail density map was generated using the territory of each of the over 200 residential groups as a mapping unit. An R 2 of 0.87 was obtained between the average snail density predicted and that surveyed for 19 groups. With such a model, we were able to extrapolate scattered snail abundance surveyed at a limited number of sites to the entire area. Spatial autocorrelation of snail distribution was considered as one of the possible factors in predicting snail density and tested for further model calibration.
An Optimal PR Control Strategy with Load Current Observer for a Three-Phase Voltage Source Inverter

Inverter voltage control is an important task in the operation of a DC/AC microgrid system. To improve the inverter voltage control dynamics, traditional approaches attempt to measure and feedforward the load current, which, however, needs remote measurement with communications in a microgrid system with distributed loads. In this paper, a load current observer (LCO) based control strategy, which does not need remote measurement, is proposed for sinusoidal signals tracking control of a three-phase inverter of the microgrid. With LCO, the load current is estimated precisely, acting as the feedforward of the dual-loop control, which can effectively enlarge the stability margin of the control system and improve the dynamic response to load disturbance. Furthermore, multiple PR regulators are applied in this strategy conducted in a stationary frame to suppress the transient fluctuations and the total harmonic distortion (THD) of the output voltage and achieve faster transient performance compared with traditional dual-loop control in a rotating dq0 frame under instantaneous change of various types of load ( i.e. , balanced load, unbalanced load, and nonlinear load). The parameters of multiple PR regulators are analyzed and selected through the root locus method and the stability of the whole control system is evaluated and analyzed. Finally, the validity of the proposed approach is verified through simulations and a three-phase prototype test system with a TMS320F28335 DSP.
RNAi therapy targeting KRAS in combination with chemotherapy for locally advanced pancreatic cancer patients

Purpose The miniature biodegradable implant siG12D-LODER™ was inserted into a tumor and released a siRNA drug against KRAS(G12D) along four months. This novel siRNA based drug was studied, in combination with chemotherapy, as targeted therapy for Locally Advanced Pancreatic Cancer (LAPC). Methods An open-label Phase 1/2a study in the first-line setting of patients with non-operable LAPC was initiated. In this study patients were assigned to receive a single dose of siG12D-LODERs, in three escalating dose cohorts (0.025mg, 0.75mg and 3.0mg). Gemcitabine was given on a weekly basis, following the siG12D-LODERTM insertion, until disease progression. The recommended dose was further examined with modified FOLFIRINOX. The follow up period was eight weeks and survival until death. Results Fifteen patients with LAPC were enrolled. Among the 15 treated patients, the most frequent adverse events observed were grade 1or 2 in severity (89%); five patients experienced serious adverse events (SAEs). In 12 patients analyzed by CT scans, none showed tumor progression, the majority (10/12) demonstrated stable disease and two showed partial response. Decrease in tumor marker CA19-9 was observed in 70% (7/10) of patients. Median overall survival was 15.12 months; 18 month survival was 38.5%. Conclusions The combination of siG12D-LODER™ and chemotherapy is well tolerated, safe and demonstrated a potential efficacy in patients with LAPC. NCT01188785
On the Support of Versioning in Distributed Key-Value Stores

The ability to access and query data stored in multiple versions is an important asset for many applications, such as Web graph analysis, collaborative editing platforms, data forensics, or correlation mining. The storage and retrieval of versioned data requires a specific API and support from the storage layer. The choice of the data structures used to maintain versioned data has a fundamental impact on the performance of insertions and queries. The appropriate data structure also depends on the nature of the versioned data and the nature of the access patterns. In this paper we study the design and implementation space for providing versioning support on top of a distributed key-value store (KVS). We define an API for versioned data access supporting multiple writers and show that a plain KVS does not offer the necessary synchronization power for implementing this API. We leverage the support for listeners at the KVS level and propose a general construction for implementing arbitrary types of data structures for storing and querying versioned data. We explore the design space of versioned data storage ranging from a flat data structure to a distributed sharded index. The resulting system, ALEPH, is implemented on top of an industrial-grade open-source KVS, Infinispan. Our evaluation, based on real-world Wikipedia access logs, studies the performance of each versioning mechanisms in terms of load balancing, latency and storage overhead in the context of different access scenarios.
Precise Slicing of Concurrent Programs ? An Evaluation of static slicing algorithms for concurrent programs

While there exist efficient algorithms to slice sequential programs precisely, there are only two algorithms for precise slicing of concurrent interprocedural programs with recursive procedures (Krinke 2003; Nanda and Ramesh 2006). We present an empirical evaluation of both algorithms for Java. We demonstrate that both algorithms provide the same precision up to the model of concurrency in use and show that the concurrency model has strong impact on slice precision and computation costs. Furthermore, we extend both algorithms to support dynamic thread creation both in loops and recursion – a feature that the original algorithms could not fully handle. The worst case complexity of the algorithms being exponential, we developed several optimizations and compared these with each other and with algorithms that trade precision for speed. Finally, we show that one algorithm may produce incorrect slices and present a remedy.
Comparison of multi-cell multi-antenna CDMA and TDMA systems

We evaluate system capacities for multicellu- lar systems with different multiple access strategies. The interference from another cell sharing the same frequency is calculated, and the total interference arising from the frequency reuse pattern is evaluated. A simple analytical model for the inter-cell interference is developed, which i s in good agreement with numerical experiments. Irrespective of the multiple access strategy, capacity becomes interference limited. When comparing TDMA and CDMA in the uplink, there is a crossover in capacity. At low SNR CDMA is preferable, at high SNR TDMA performs better.
Prediction intervals for neural network models

Neural networks are a consistent example of non-parametric estimation, with powerful universal approximation properties. However, the effective development and deployment of neural network applications, has to be based on established procedures for estimating confidence and especially prediction intervals. This holds particularly true in cases where there is a strong culture for testing the predictive power of a model, e.g., in financial applications. In this paper we review the major state-of-the-art approaches for constructing confidence and prediction intervals for neural networks, discuss their assumptions, strengths and weaknesses and we compare them in the context of a controlled simulation. Our preliminary results, which are being presented in this paper, indicate a clear superiority of the combination of the bootstrap and maximum likelihood approaches in constructing prediction intervals, relative to the analytical approaches.
Control of locomotion in expert gymnasts in the absence of vision

The main aim of this study was to determine how gymnasts are affected by the removal of vision when executing simple moves. A secondary aim was to establish whether crucial sensory cues exist for blindfolded gymnasts. Eight expert gymnasts were asked to maintain a straight displacement during three types of blindfolded locomotion: walking, steering a wheelchair and verbally ordering a second person pushing their wheelchair. In the first two conditions,active displacement made proprioceptive cues available to update the body trajectory. In the last condition, however, proprioceptive cues were greatly reduced, since the gymnasts displaced passively. The performance of the gymnasts was compared to that of eight experts in other non-gymnastic sports (control group). The results showed that the participants veered in all conditions. However, except in the verbal condition, the gymnasts departed less from linearity than the controls. We conclude that: (1) even for a simple motor task, gymnasts' performance is altered by eliminating vision; (2) compared with other sportsmen and women, gymnasts are better able to deal with the absence of vision when proprioceptive cues are available. These findings suggest two possible explanations: (1) gymnasts are more able to ‘pick up' crucial information and (2) a gymnast's proprioceptive system is more sensitive.
Salmonella enterica Infections in Market Swine with and without Transport and Holding

ABSTRACT The objective of this study was to compare, by using identical sample types, the Salmonella enterica prevalences and serovar diversities between pigs necropsied on the farm and those necropsied at the abattoir after transport and holding. We necropsied 567 market weight pigs (>70 kg) from six herds. Pigs were alternately assigned to be necropsied on the farm or at the abattoir. One-half of the group was sent in clean, disinfected trailers to slaughter at a commercial abattoir. After transport (mean distance, 169 km) and 2 to 3 h of holding in antemortem pens, these pigs were necropsied. The 50 pigs remaining on the farm were necropsied the following day. The same sample types and amounts were collected for S. enterica culture at both locations. Results show a sevenfold-higher (P < 0.001) S. enterica isolation rate from pigs necropsied at the abattoir (39.9%; 114 of 286) than from those necropsied on the farm (5.3%; 15 of 281). This difference was also observed for each individual herd. All sample types showed a significantly higher prevalence when comparing abattoir to on-farm collection, respectively: lymph nodes, 9.15 versus 3.6%; cecal contents, 13.6 versus 1.8%; 1 g of fecal matter, 25.2 versus 0.7%. Recovery of additional serovars at the abattoir suggests the pigs are receiving S. enterica from extra-farm sources. This study demonstrates that rapid infection during transport, and particularly during holding, is a major reason for increased S. enterica prevalence in swine. This finding identifies the holding pen as an important S. enterica control point in the pork production chain.
Near Optimal On-Policy Control

We introduce two online gradient-based reinforcement learning algorithms with function approximation – one model based, and the other model free – for which we provide a regret analysis. Our regret analysis has the benefit that, unlike many other gradient based algorithm analyses for reinforcement learning with function approximation, it makes no probabilistic assumptions meaning that we need not assume a fixed behavior policy.
Effects of subchronic exposure of early life stages of white sturgeon (Acipenser transmontanus) to copper, cadmium, and zinc

Populations of sturgeon (Acipenseridae) are declining in many places in the world because of several potential factors, including overharvesting, habitat alteration, and pollution. In North America, populations of the white sturgeon (Acipenser transmontanus) have been experiencing poor annual recruitment in major river systems for more than three decades. Metal pollution has been hypothesized as a potential contributing factor to the poor recruitment in some of the water bodies. In general, little is known about the toxicity of metals such as Cu, Cd, and Zn to white sturgeon and their potential influence on survival of embryos and juveniles. The present study was conducted to establish baseline toxicity data for the subchronic exposure of early life stages of white sturgeon to Cu, Cd, and Zn that can be used in metal‐related risk assessments. Embryos, larvae, and fry were exposed to increasing concentrations of dissolved Cu, Cd, or Zn for 66 d using laboratory‐based flow‐through exposure systems. Hatching success was greater than 79% for all controls, and no significant differences were observed among treatment groups or between treatments and controls. Chronic lethal concentrations at which 20% mortality occurred (LC20s) for Cd (1.5 µg/L), Cu (5.5 µg/L), and Zn (112 µg/L) obtained for white sturgeon in the present study were comparable to those of sensitive salmonid species. Based on LC20 values for 19 or 58 d posthatch white sturgeon, the United States national ambient water quality criteria and the Canadian water quality guidelines for the protection of aquatic life that have been established for Cd, Cu, and Zn protect white sturgeon early life stages. Environ. Toxicol. Chem. 2011;30:2497–2505. © 2011 SETAC
Dual drug-loaded nanoparticles on self-integrated scaffold for controlled delivery

Antioxidant (quercetin) and hypoglycemic (voglibose) drug-loaded poly-D,L-lactideco-glycolide nanoparticles were successfully synthesized using the solvent evaporation method. The dual drug-loaded nanoparticles were incorporated into a scaffold film using a solvent casting method, creating a controlled transdermal drug-delivery system. Key features of the film formulation were achieved utilizing several ratios of excipients, including polyvinyl alcohol, polyethylene glycol, hyaluronic acid, xylitol, and alginate. The scaffold film showed superior encapsulation capability and swelling properties, with various potential applications, eg, the treatment of diabetes-associated complications. Structural and light scattering characterization confirmed a spherical shape and a mean particle size distribution of 41.3 nm for nanoparticles in the scaffold film. Spectroscopy revealed a stable polymer structure before and after encapsulation. The thermoresponsive swelling properties of the film were evaluated according to temperature and pH. Scaffold films incorporating dual drug-loaded nanoparticles showed remarkably high thermoresponsivity, cell compatibility, and ex vivo drug-release behavior. In addition, the hybrid film formulation showed enhanced cell adhesion and proliferation. These dual drug-loaded nanoparticles incorporated into a scaffold film may be promising for development into a transdermal drug-delivery system.
Multi-node-cooperative AODV based on cross-layer

According to the instability of links in mobile Ad hoc networks, this paper put forward a cross-layered multi-node-cooperative routing protocol AODV-CLC, based on a multi-route AODV. If the signal power between a certain node and the transmitter, as well as the power between it and the receiver, was larger than that between the transmitter and the receiver, the node became a candidate partner. One transmitter chose one partner by the signal power, and one partner served only one transmitter. When receiving a packet, the partner started a timer. If the partner had not received the receiver's ACK when the timer ran out, it retransmitted the packet. The timer was set shorter than the MAC retry interval, so the partner could access the channel before the transmitter. The partner also offered ACK cooperation to reduce unnecessary retransmissions by the transmitter. If the link between the cooperator and the transmitter (or the receiver) broke, the cooperation was canceled. According to the simulation results, AODV-CLC had a smaller delay and delay jitter while a higher packet delivery ratio than the existing routing protocol. However, because of the cooperation messages, AODV-CLC evolved in additional control message cost.
Low- and high- agressive genetic breast cancer subtypes and significant survival gene signatures

We characterize three small gene signatures derived consequently from the original 232-gene breast cancer aggressiveness signature which could improve biological classification and clinical assignment of ~50% of breast cancer patients having histologic grade 2 tumors . Here, we develop a novel approach to identify small gene signatures providing statistically reliable, biological important and clinical significant molecular markers.We consider three small molecular signatures which strongly represent three specific groups of genes related to (i) cell cycle /mitosis, (2) chromosome segregation and micro-tubular formation, (3) cell-cell communication, extracellular/immune signaling, and RNA binding. These results shed light on underlined biological mechanisms of low-aggressive and high-aggressive human breast cancer phenotypes and support our suggestion that re-classification of grade 2 breast tumors onto tumor grade 1-like and tumor grade 3-like subtypes can be related to two genetically and clinically distinct cancer types.
Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

The availability of large volumes of interaction data and scalable data mining techniques have made possible to study the online behaviour for millions of Web users. Part of the efforts have focused on understanding how users interact and engage with web content. However, the measurement of within-content engagement remains a difficult and unsolved task. This is because of the lack of standardised, well-validated methods for measuring engagement, especially in an online context. To address this gap, we perform a controlled user study where we observe how users respond to online news in the presence or lack of interest. We collect mouse tracking data, which are known to correlate with visual attention, and examine how cursor behaviour can inform user engagement measures. The proposed method does not use any pre-determined concepts to characterise the cursor patterns. We, rather, follow an unsupervised approach and use a large set of features engineered from our data to extract the cursor patterns. Our findings support the connection between gaze and cursor behaviour but also, and more importantly, reveal other dependencies, such as the correlation between cursor activity and experienced affect. Finally, we demonstrate the value of our method by predicting the outcome of online news reading experiences.