Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibitory Actions of Steppogenin on Platelet Activity Through Regulation of Glycoprotein IIb/IIIa and Ca 2+ Mobilization

 The extract of Cudrania tricuspidata is used in ethnomedicine throughout Eastern Asia in China, Korea and Japan. In Korean traditional medicine, Cudrania tricuspidata has been used to treat eczema, mumps, tuberculosis, contusions, insom-nia and acute arthritis. In addition, it has been reported that root extract of Cudrania tricuspidata has anti-platelet effects. There-fore, we investigated which compound in Cudrania tricuspidata has inhibitory effect on platelet aggregation. In this study, we tried to explain the inhibitory mechanism of steppogenin from Cudrania tricuspidata on human platelet aggregation. Collagen-induced human platelet aggregation and [Ca 2+ ] i mobilization were dose-dependently inhibited by steppogenin and we deter-mined the inhibition by steppogenin is due to the down regulation of extracellular-signal-regulated kinase(ERK) and inositol-1,4,5-triphosphate receptor type I(IP 3 RI) phosphorylation. In addition, steppogenin inhibited collagen-induced fibronectin adhesion to  IIb/  3 and thromboxane A 2 generation. Thus, in the present study, steppogenin showed an inhibitory effect on human platelet aggregation, suggesting its potential use for preventing
Maximum probability O-D matrix estimation in large-sized networks

We propose a maximum probability model to estimate the origin-destination trip matrix in the networks, where the observed traffic counts of links and the target origin-destination trip demands are independent discrete random variables with known probabilities. The problem is formulated by using the least squares approach in which the objective is to maximize the probability that the sum of squared errors between the estimated values and the observed (target) ones does not exceed a pre-specified threshold. An enumeration so lution approach is proposed to solve the problem in small-sized networks, while a normal approximation based on the central limit theorem is applied in large-sized networks to transform the problem into a deterministic nonlin ear fractional model. Some numerical examples are provided to illustrate the efficiency of the proposed method.
Massively Parallel Circuit Setup in GPU-SPICE

SPICE simulations are the industry standard to analyze circuits for decades. However, they are computationally complex as each circuit is simulated at the transistor-level where individual transistor is modeled with dozens of sophisticated equations. This limits the practicality of SPICE simulations to relatively small circuits. However, this is in a direct conflict with the ever-increasing demands of circuit designers in which SPICE simulations for large circuits (e.g., DSPs, AES, etc.) at full accuracy are inevitably required to fulfill new industrial standards like automotive safety ISO 26262 with tool confidence level 1. To accelerate SPICE simulation without sacrificing accuracy, state-of-the-art approaches have started to employ GPUs to parallelize the LU-factorization and device linearization phases. Instead of focusing on these phases, this article demonstrates for the first time that when large circuits come into play, a new and equally important performance bottleneck emerges at the circuit setup phase. Speeding up the circuit setup phase in SPICE is our key focus in this paper. Our two implementations demonstrate that our GPU-based circuit setup reduces the analysis time from 4.5 days to merely 89 seconds for a 256-bit multiplier, which consists of more than 1M transistors. Our achieved speedup is 4396x compared to the baseline (open-source NGSPICE) and more than 2x compared to commercial (HSPICE and Spectre) SPICE circuit setup.
Chronic fertilization and irrigation gradually and increasingly restructure grassland communities

Scientists have known for over a century that resource addition can lead to species loss from plant communities. Recent studies have also shown that resource addition can substantially restructure communities by altering their functional and taxonomic composition—even when species richness remains unchanged. Understanding which aspects of community structure are impacted by different resources and over which timescales will provide insight for management decisions and may also elucidate which measures can act as early warning indicators for subsequent changes in the community. Here, we take advantage of a long‐term factorial experiment to understand how grassland plant communities respond to a decade of nitrogen fertilization (14 g N·m⁻²·yr⁻¹) and irrigation (25 mm water/week during the growing season). After 10 yr, fertilization and irrigation decreased species richness by 22% and 9%, while functional richness decreased by 31% and 41%. Abundance‐weighted functional distance between treatments and controls increased by 55% and 24%, respectively. We expected that abundance‐weighted measures would shift before presence–absence‐based measures, but found limited evidence for this. Instead, our results suggest that species gains, which can occur quickly because they require the addition of only one individual, may serve as early indicators for subsequent community restructuring in the opposite direction. Overall, both chronic nitrogen fertilization and irrigation tended to have gradual and increasing impacts on community structure, but the magnitude of these effects varied greatly depending on the aspect of community structure investigated. Further study will be needed to determine the extent to which our results can be generalized to other resources or sites in order to develop management strategies to maintain both taxonomic and functional trait diversity in the face of chronic resource changes.
Single-well chemical tracer method for measuring residual oil saturation. Final report

A number of significant advances in the theory of the single-well chemical tracer method for measuring residual oil saturation (S/sub OR/) are reported. Particularly important is the theoretical basis for optimizing test design to obtain maximum sensitivity to S/sub OR/. Quantitative results are presented for the first time on the effects of fluid drift, flow irreversibility, stratification, and mobile oil. The results of 59 single-well tracer tests which were compiled during this study are presented. These data were donated by the licensees of Exxon Production Research Co., who originated the method. The tests are reviewed with respect to optimal design and field procedures established here. The available techniques for measuring the tracer distribution coefficients (K-values) which are required to obtain S/sub OR/ from the field data are described. Correlations are presented for predicting the K-values for ethyl acetate and propyl formate, two of the most commonly used chemical tracers. Several techniques for obtaining S/sub OR/ from the field-measured tracer concentration profiles are reviewed. The most difficult procedure, detailed simulation using proprietary computer programs, has been used to obtain acceptable interpretations in over 80% of the reported tests.
Unraveling the cryptic genetic variation and population structure of the citrus genotypes with unknown origin

The high diversity of Citrus genotypes can increase the probability of identifying new genetic makeups and even desirable traits. Hence, 76 genotypes with unknown origin and 34 known cultivars from several Citrus species were analyzed by SSR and AFLP markers. Overall, 326 alleles and 545 polymorphic bands were respectively scored for 28 SSR loci and 25 AFLP primer-enzyme combinations. The results of various analyses accomplished with SSR markers were in agreement with AFLP. Accordingly, the true species of citron, mandarin, and pummelo were nested into separate groups. In the studied germplasm, we succeeded in tracking three cryptic origin genomes (2 in SSR and 1 in AFLP analysis) which were distinct from 3 true species, and, interestingly, they contributed to the genetic composition of some control cultivars. The results suggested that the interspecific hybridization and genetic introgression were the main determinants of the Citrus genotypes genetic composition. Hereupon, the share of citron in 36%, mandarin in 34%, and pummelo in 22% of selected accessions estimated more than 50%. Despite the controversy about the origin of lemon and sour orange, the results of different grouping methods suggested that lemon had more affinity with lime, and the genetic contribution of mandarin in sour orange was stronger than that of pummelo.
An Optimized Simple Strategy for Capacity Allocation in Satellite Systems With Smart Gateway Diversity

In this article, optimal assignments, for various performance metrics, in multibeam high-throughput smart gateway diversity satellite systems operating at extremely high frequencies are studied. The minimization of the objectives of the total system's capacity losses and the rate matching are achieved and at the same time, the total system's satisfaction ratio is maximized. The offered and the requested capacities in the satellite system as well as the dynamic variations of the atmospheric satellite channels are considered in the analysis. The efficient Hungarian algorithm is adopted to provide an optimal pairing solution for different realistic satellite scenarios that have to do with different QoS requirements of the user beams, cases that gateways cannot serve all the user beams and that more than one user beams can be served by each gateway simultaneously. The proposed scheme has the polynomial time complexity and shows equal performance with the complex Exhaustive algorithm. Finally, another important conclusion is that the optimum satellite system's performance is achieved when there are no disallowed assignments; in that case, all user beams can be served by all gateways.
Nucleosome dynamics of human iPSC during the early stages of neurodevelopment

Regulation of nucleosome positioning is important for neurodevelopment, and mutation of genes mediating chromatin remodelling are strongly associated with human neurodevelopmental disorders. Unicellular organisms possess arrays of highly positioned nucleosomes within their chromatin, occupying up to 80% of their genomes. These span gene-coding and regulatory regions, and can be associated with local changes of gene transcription. In the much larger genome of human cells, the roles of nucleosome positioning are less clear, and this raises questions of how nucleosome dynamics interfaces with human neurodevelopment. We have generated genome-wide nucleosome maps from an undifferentiated human induced pluripotent stem cell (hiPSC) line and after its differentiation to the neuronal progenitor cell (NPC) stage. We found that approximately 3% of nucleosomes are highly positioned in NPC. In contrast, there are 8-fold less positioned nucleosomes in pluripotent cells, with the majority arising de novo or relocating during cell differentiation. Positioned nucleosomes do not directly correlate with active chromatin or gene transcription, such as marking Transcriptional Start Sites (TSS). Unexpectedly, we find a small population of nucleosomes that remain positioned after differentiation, occupying similar positions in pluripotent and NPC cells. They flank the binding sites of the key gene regulators NRSF/REST and CTCF, but remain in place whether or not their regulatory complexes are present. Together, these results present an alternative view in human cells, where positioned nucleosomes are sparse and dynamic, but act to alter gene expression at a distance via structural conformation at sites of chromatin regulation, not local changes in gene organisation.
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges

In this modern era, traffic congestion has become a major source of severe negative economic and environmental impact for urban areas worldwide. One of the most efficient ways to mitigate traffic congestion is through future traffic prediction. The research field of traffic prediction has evolved greatly ever since its inception in the late 70s. Earlier studies mainly use classical statistical models such as ARIMA and its variants. Recently, researchers have started to focus on machine learning models because of their power and flexibility. As theoretical and technological advances emerge, we enter the era of deep neural network, which gained popularity due to its sheer prediction power which can be attributed to the complex and deep structure. Despite the popularity of deep neural network models in the field of traffic prediction, literature surveys of such methods are rare. In this work, we present an up-to-date survey of deep neural network for traffic prediction. We will provide a detailed explanation of popular deep neural network architectures commonly used in the traffic flow prediction literatures, categorize and describe the literatures themselves, present an overview of the commonalities and differences among different works, and finally provide a discussion regarding the challenges and future directions for this field.
Proposed bycatch-reduction modifications of shrimp fyke nets used in South American lagoons

Background. Shrimp fisheries using fyke nets have been associated with a massive acquisition of teleost fishes as bycatch, potentially resulting in the decimation of their stocks. Based on this assumption, the presently reported study intended to test an alternative modification of a commonly used fyke net, in order to minimize the impact of its low selectivity. Materials and methods. To evaluate the alternative design proposed in this work, a total of 44 sampling efforts, including 22 with a control gear (CG) and 22 with a modified gear (MG), were conducted at a subtropical coastal lagoon system located in southern Brazil. In all trials, the fyke nets were installed at the fishing area approximately at 18:00 h and removed approximately at 06:00 h. The duration of each trial was nearly 12 h, which was similar to the catching time preferred by local fishermen. Results. Bycatch (BC) was preponderant in both modalities but the results showed that MG presented a reduction by 66 percentage points in BC catches, being more selective than CG. Additionally, the non-parametric test showed no significant differences of shrimp catches between the fishing gears used (MG and CG). So, the tested bycatch reduction devices (BRD) reduced the bony fishes acquisition preserving the volume of the target catch. Conclusion. The vertical opening reduction due the adoption of guiding panel + fan upper panel contributed to bycatch reduction, being a consistent BRD to reduce the potential impacts of this fishing gear over the bony fishes stocks.
Edge Intelligence Empowered Urban Traffic Monitoring: A Network Tomography Perspective

Efficient urban traffic monitoring is a key enabler for intelligent planning and management of modern cities. Network tomography can monitor the urban traffic with a comparably small number of traffic detectors like cameras, and has become an appealing technique for urban traffic management. However, previous work on network tomography based traffic monitoring focuses primarily on developing estimators using the given end-to-end travel time measurements, while the design of data collection for efficiently distributed collecting and processing the raw monitoring videos to such measurements is often neglected. We fill this gap by exploring the vision of edge intelligence for optimal urban traffic monitoring, and tackle the following two problems in regard of limited telecommunications resources: 1) when the total number of monitoring videos that are successfully processed into the end-to-end travel time measurements is pre-bounded, we employ a Fisher Information Matrix (FIM) to help determine the best quota scheme for the monitoring videos that each traffic detector need to generate and 2) when the centralised processing of monitoring videos alone is insufficient, we make use of the computation capabilities from these edge devices, i.e., traffic detectors, and employ a multi-agent reinforcement learning approach to help them conduct intelligent computation offloading individually. Extensive simulations demonstrate that our proposed scheme effectively reduces the estimation error of network tomography compared to common approaches with either uniform or random strategy.
MINIATURIZATION OF MICROSTRIP SLOT ANTENNA USING HIGH REFRACTIVE INDEX METAMATERIAL BASED ON SINGLE RING SPLIT RING RESONATOR

In this paper, the miniaturization of the slot antenna is presented for the first time with the use of high refractive index metamaterial. Based on the effective parameter extraction, the studies conducted on Single Ring Split Ring Resonator (SR-SRR) reveal that the unit cell can produce high values of positive refractive index. By taking the advantage of the principle of duality, the slot is loaded with two Complementary SR-SRRs (CSR-SRRs) on either side of it to create an effective HRI medium. With the partial loading of HRI metamaterial medium, the resonance frequency of the slot is brought down from 4.225 GHz to 2.5 GHz. The radiation characteristics of the loaded slot antenna were found to be almost similar to that of the conventional slot antenna. The simulated and measurement results were found in good agreement.
A Model Construction for Investigating the Impact of Enterprise Social Media Affordances on Employees' Perceived Creativity

: Enterprise social media (ESM) is increasingly applied in modern enterprises to promote knowledge sharing and social intereactions among employees, and has an important potential for enhancing employees’ creativity. However, it is still unclear whether ESM can help boost employee creativity, and the technical design factors that cast ESM as a creativity support system needs investigation. To fill this research gap, this study constracts a research model based on the affordance lens to examine the influences of association and visibility affordances of ESM on employees’ perception of creativity. The moderating role of job autonomy in the relationship between ESM affordances and employees’ perceived creativity is further explored. Conclusions and implications of this study will be discussed.
Extensible Multi-Input Synchronous Electronic Charge Extraction Circuit Based on Triple Stack Resonance for Piezoelectric and Thermoelectric Energy Harvesting

At present, research on interface circuits for environmental energy harvesting is mainly carried out around a single transducer. However, rich ambient energy sources can be harvested with multiple transducers. Hence, in this article, extensible multi-input synchronous electronic charge extraction (EMI-SECE) interface circuit based on triple-stack LC resonance for piezoelectric and thermoelectric energy harvesting is proposed. proposed EMI-SECE interface circuit can simultaneously extract energy from multiple piezoelectric transducers (PZTs) and thermoelectric generators when the peak open-circuit voltage of the PZTs is detected by the passive peak detectors. Theoretical analysis and experiments verify the effectiveness of the circuit. The experimental results show that the proposed EMI-SECE circuit can harvest energy from two PZTs with any phase difference (0−2π) based on single inductor. In addition, the circuit can harvest thermoelectric energy at an open-circuit voltage as low as 20 mV, and the maximum harvesting efficiency can be reached 85.7% at $V_{{\rm{oc}}}$ = 200 mV.
Closed-Form LF Magnetic Shielding Effectiveness of Thin Planar Screens in Coplanar Loops Configuration

In this article, the low-frequency magnetic shielding effectiveness of a planar screen with magnetic and conductive properties in a coplanar-loops configuration (as required in the IEEE Standard 299) is evaluated through a new closed-form formula under the thin-sheet and small-loop approximations. The formulation clearly shows the separate contribution of the permeability and the conductivity of the screen to the shielding performance. The results obtained with the proposed closed-form formulas are compared with the exact ones derived through numerical integrations to assess the relevant accuracy and limits of validity.
The Effects of Two Different HIIT Resting Protocols on Children’s Swimming Efficiency and Performance

On children, HIIT program is being used by coaches as a way of rapid improvement. The values of the intervals vary from the target of the period. The study’s purpose was to find out if HIIT in different interval protocols improves children’s swimming performance. In the study participated 18 rookie swimmers (9 boys and 9 girls), aged 11.6 ±1.5. The HIIT protocol in both groups included the set of 2 * 4 * 17.5 m (freestyle and freestyle kick, respectively). The first group (HIIT 1) had a 10 sec interval while the second (HIIT 2)  a 1 min between the HIIT reps. Swimmers performed in 35 m freestyle (35F) and 2 min free kick (2’ FK) trials at maximum effort. The performance (T), the number of strokes (SN) and the stroke length (SL) were measured at 35F, the covered distance at 2' FK and the heart rate (HR), the rated perception of exertion (RPE) at 35F and 2’ FK. Regarding the results, all parameters improved significantly (p = 0.01). The use of a 4-week swimming program with training 4 times per week, in which two were HIIT, improved children’s performance and efficiency in swimming. Intervals of 10 sec or 1 min did not alter the improvement.
Evaluation of Fiber Optic Raman Scattering Distributed Temperature Sensor Between –196 and 400 °C

Distributed temperature sensors have been proposed for a wide variety of scientific and industrial applications and represent an important technology for modern infrastructures. Due to the range of potential applications, distributed fiber optic sensors based on spontaneous Raman scattering have been studied both theoretically and experimentally. This article presents the experimental evaluation of a distributed fiber optic temperature sensor based on spontaneous Raman scattering over a wide temperature range, from −196 °C to +400 °C. The sensor is implemented using a commercial OTDR, a standard EDFA amplifier and a standard optical fiber link. Besides, a special type of optical fiber for high temperature operation, featuring metallic coating, is also assessed as the sensor element. The integrity of the fibers following the exposure to the extreme temperatures is analyzed. The results provide values for the sensitivity, accuracy and resolution of the sensor in the wide range of temperatures.