Miracle-dz/UniFAR-FTUs huggingface dataset:
A gem5 Implementation of the Sequential Codelet Model: Reducing Overhead and Expanding the Software Memory Interface

Modern tasking models define applications in a fine-grained manner that necessitates lower overhead per segment of computation. Fine-grained tasks, if done right, enable higher utilization of many-core systems. While previous work has seen multiple implementations of hardware support for a variety of tasking models, many lack the support required by the rise of heterogeneity in high performance computing. Moreover, the previously proposed hardware supports are short of supporting the expanding memory interfaces for data-centric needs and memory utilization. In this paper, we propose and implement a hardware support scheme of the sequential codelet model (SCM). The hardware support makes it possible to demonstrate SCM’s potential advantage on heterogeneous workloads and SCM’s capability of supporting the expanding software memory interface. This hardware support can be simulated at the desired scale in gem5 by designing and adding custom hardware modules to a conventional system in simulation, therefore avoiding unnecessary development effort, The gem5 implementation of the Sequential Codelet Model functions as a foundation to demonstrate the benefits offered by the SCM program execution model by moving hardware support closer to program semantics. The implementation utilizes conventional Intel Skylake CPU cores and caches while maintaining an open path to heterogeneity, streaming, and data recoding. Minimal hardware modules per core effectively reduce the overhead of the PXM runtime without removing the possibility of conventional program execution on the system. We compare the overhead with DARTS, a software implementation of the base Codelet Model that has been shown to be an effective vehicle for fine-grained execution, and show a 20x reduction in overhead. The increased efficiency allows for even more finely-grained programs to be effective on the system.
A Robust Real Time Bidding Strategy Against Inaccurate CTR Predictions by Using Cluster Expected Win Rate

Previous real-time bidding (RTB) strategies offer a bidding price for each incoming bid request based on its individual predicted click through rate (CTR). However, this pricing mechanism could be a pitfall because the large and sparse feature space often leads to inaccurate individual CTR predictions. Furthermore, our observations in a real-world online advertising environment indicate that the predicted CTR could be uncorrelated to the empirical CTR. In this paper, we introduce a new evaluation metric, cluster expected win rate (CEWR), and propose a novel framework Cluster-aware Ranking-based Bidding Strategy (CARBS) that leverages CEWR to cope with the above issue. CEWR quantifies the worthiness of each bid request based on a group of bid requests having similar expected performance. First, a two-step clustering method aggregates bid requests with similar predicted CTRs into clusters to gather similar information. Second, CARBS ranks the clusters and sets the Affordability Threshold in order to spend budgets smartly. CEWR summarizes the above results and hence better correlates to the click performance in our observations, causing the robustness superior to the inaccurate individual CTR predictions. Finally, a reinforcement learning-based bidding strategy is conducted to adjust the bid request expected win rate (BEWR) jointly based on CEWR and the dynamic market for deriving the final bid prices. The experimental results on three real ad campaigns manifest that CARBS outperforms state-of-the-art bidding strategies in terms of click acquisition. In a poorly predicted campaign (AUC: 0.73) with an extremely tight budget, the improvement is 32.5%, showing the robustness of CARBS.
Human Breast Milk miRNAs: Their Diversity and Potential for Preventive Strategies in Nutritional Therapy

The endogenous miRNAs of breast milk are the products of more than 1000 nonprotein-coding genes, giving rise to mature small regulatory molecules of 19–25 nucleotides. They are incorporated in macromolecular complexes, loaded on Argonaute proteins, sequestrated in exosomes and lipid complexes, or present in exfoliated cells of epithelial, endothelial, or immune origins. Their expression is dependent on the stage of lactation; however, their detection depends on progress in RNA sequencing and the reappraisal of the definition of small RNAs. Some miRNAs from plants are detected in breast milk, opening the possibility of the stimulation of immune cells from the allergy repertoire. Each miRNA harbors a seeding sequence, which targets mRNAs, gene promoters, or long noncoding RNAs. Their activities depend on their bioavailability. Efficient doses of miRNAs are estimated to be roughly 100 molecules in the cytoplasm of target cells from in vitro and in vivo experiments. Each miRNA is included in networks of stimulation/inhibition/sequestration, driving the expression of cellular phenotypes. Three types of stress applied during lactation to manipulate miRNA supply were explored using rodent offspring: a foster mother, a cafeteria diet, and early weaning. This review presents the main mature miRNAs described from current mothers’ cohorts and their bioavailability in experimental models as well as studies assessing the potential of miR-26 or miR-320 miRNA families to alter offspring phenotypes.
Procyanidin Dimer from the Stem Bark of Moringa oleifera (Lam.) Attenuates Insulin Resistance in Rats

Abstract Alcoholic extract and its ethyl acetate fraction of Moringa oleifera (Lam.) (MO), (Moringaceae) bark are experimentally claimed to possess insulin-sensitizing potentials. The present study aimed to isolate and characterize the phytochemical(s) responsible for insulin sensitization in dexamethasone-induced acute and chronic rat models for insulin resistance (IR). The reported ethyl acetate fraction from the alcoholic extract of the bark of MO was prepared and subjected to bioactivity-guided sub-fractionation and isolation of phytochemicals. A component responsible for improving insulin sensitivity in rat models for IR was isolated and reported for the first time from the bark of MO and its structure was characterized as a procyanidin dimer type of polyphenol by spectroscopic techniques. GRAPHICAL ABSTRACT
High altitude and microtia in Ecuadorian patients

Objective: To examine the relationship between high altitude and microtia in Ecuador. Methods: We evaluated the epidemiological issues of 1298 cases of microtia reported in Ecuador from 2001 to 2007. It used data arising from the Vital Statistics National Reports: Annual Survey of Admissions and Discharges in this 7 year period. The register is national and population based, run and funded by the government. Results: It reported a total of 1298 cases of microtia out of 34654 cases of congenital malformations described in the registries. The overall prevalence was 2.38/10000 admissions/discharges calculated out of 5462263 admissions. An overall percentage (of 90.22%) were admitted before 19 years of age with the most prevalent group between 5 to 9 years of age (31.90%). There was progressive increase of cases every year; from 132 cases in 2001 to 304 in 2007. Total male cases in this study were 723 (55.70%) and female cases were 575 (44.30%). Tungurahua reported the highest prevalence of 18.31/10000 births, followed by Chimborazo, Azuay, Pichincha and Cotopaxi; all of them located over 2500 meters above sea level. It found that highest prevalence was 10.21 over 2700 meters above sea level followed by 8.28 over 2800 meters above sea level; with both having a cumulative prevalence of 8.81. Conclusion: There is a higher prevalence of microtia in patients living above 2500 meters above sea level. This study was not able to establish a clear relationship between microtia and different ethnic groups.
Condiciones, Procesos y Circunstancias que Permiten Avanzar Hacia la Inclusión Educativa: Retomando las Aportaciones de la Experiencia Canadiense

Este artículo no pretende describir la experiencia canadiense como una muestra o compendio de “buenas prácticas” o modelos a seguir, sino que trata de sustraer algunos aspectos clave que podemos retomar para reflexionar sobre la situación de la educación inclusiva en cada contexto o país. Conocer los factores clave que han posibilitado el avance hacia la inclusión en Canadá, permitirá formular nuevas preguntas sobre la forma de organizar una educación más inclusiva.Las percepciones, opiniones y experiencias de los profesionales entrevistados se integran en el texto en forma de breves relatos, así como las narraciones que ilustran situaciones, hechos y contextos observados.Las valoraciones de la autora sobre la experiencia canadiense se articulan alrededor de factores críticos o condiciones para el cambio abordados desde una perspectiva sistémica, de manera que el trabajo se estructura en torno a cuatro niveles en los que se deberían tomar decisiones para proponer, de forma coherente y convergente, políticas y prácticas inclusivas. Descriptores: Inclusión educativa, factores clave, mejora educativa, políticas educativas. Necessary Circunstances, Processes and Conditions to Move Towards Educative Inclusion: The Canada ExperienceThe purpose of this paper is not to describe the Canadian experience as a sample or compendium of “good practices” or patterns to be followed, but to extract some key elements that can be taken up again in order to reflect on the situation of inclusive education in different countries or contexts. Knowing the key factors that allowed progress towards inclusion in Canada will allow us to raise new questions about the way to organise more inclusive education.The perceptions, opinions and experiences of the interviewed professional are included in the text as brief statements and accounts that illustrate the situations, facts and contexts observed. The author’s points of view about the Canadian experience revolve around critical factors or conditions for change, which are analysed from a systemic approach.This paper is structured in four levels that should allow decisions to be made for the purpose of proposing inclusive policies and practices in a coherent and convergent way. Keywords: Inclusive education, key factors, Canada, school improvement, educational policies.
COVID-19 and the Perceived Dangerousness of Everyday Objects: A Behavioural Online Study in Italy and Germany

The outbreak of COVID-19 and efforts to contain it have likely impacted our daily lives, including how we interact with objects. This online study aimed to develop and test a task to measure how different contexts affect our perception of objects, particularly those that were regarded as potentially dangerous. Two pre-registered experiments conducted in Italy and Germany showed how linguistically processed affordances (e.g., nouns) referring to objects perceived as dangerous (such as a door handle during the pandemic) were processed differently than those referring to neutral objects (like a toothbrush) in a sensibility judgement task. This effect was observed across different contexts and in both experiments. Further research is needed to determine if this effect is similar to the processing of negative words, and if it differs between objects with immanent negative properties (like a broken glass or a fire) versus those with potentially negative properties that only emerge in certain contexts. Replications of the study may clarify if the effect was temporary or produced more permanent changes in behaviour.
Machine Learning Methods for Predicting Parkinson's Disease Progression

The article presents the developed machine learning model for the diagnosis and prognosis of a neurological disorder - Parkinson's disease. The choice of the algorithm used to create the model is justified. By employing machine learning methods, particularly Support Vector Machines and k-Nearest Neighbors algorithms, high accuracy and reliability were achieved in predicting disease class labels. The analysis of relationships between clinical, genetic, and biomarker features demonstrated that these characteristics significantly influence the development of Parkinson's disease.
A numerical model of moisture migration for frozen soil subgrade

A two dimensional moisture migration model for frozen soil subgrade is suggested in this paper. It is proposed that the hydraulic head should be made up of gravitational head, matrin suction head, temperature head and phase chage head. The concept and calculation method of temperature head and phase change head are introduced. Furthermore, the method to determine the parameters of the model is given, and a method to analyse the frozen fringle and thaw fringle is proposed.
Introduction to this special section Rocks under stress

The objective of this special section is to show the state-of-the-art in assessing the sensitivity of rocks to stress and how this can be used to further our understanding in exploration and production. As we approach more and more quantitative use of seismic data for purposes of exploration, reservoir characterization, and reservoir surveillance, understanding how rocks react under stress and how this information can be used becomes more important. Changes in the stress field have an effect on layer thickness, seismic velocity, density, anisotropy, and fracture orientation as observed in reservoir sands, overburden/underburden shales, and in carbonates.
U-Pb ages,Hf isotopic composition and its geological significance of detrital zircons in the floodplain sediments from the Xar Moron River,Inner Mongolia

The Xar Moron River,which is the boundary between the North China plate and Xing-Meng Orogenic Belt,flows above the fault of the Xar Moron.In this paper,we applied the ICP-MS analytical techniques to date U-Pb ages and determine Hf isotopic composition of detrital zircons in the floodplain sediments from the Xar Moron River.The detrital zircons U-Pb ages of sample XL show 4 populations:108 ~ 550Ma,699 ~ 918Ma,1789 ~ 2109Ma,2347 ~ 2633Ma,and the detrital zircons U-Pb ages of sample XL2 show 3 populations:122 ~ 526Ma,1791 ~ 1969Ma,2176 ~ 2692Ma,respectively.There does not exist zircons with 700 ~ 900Ma age in the sample XL2,and the detrital zircons with ages of 1791 ~ 1969Ma and 2176 ~ 2692Ma also belong to the North China plate.Therefore,the sample XL2 should have detrital zircons which originated from the North China plate.According to Lu-Hf isotopic composition,a large proportion of detrital zircons show the characteristic of Xing-Meng Orogenic Belt,whose Hf model ages(t DM2) are less than 1000Ma and e Hf(t) are greater than 0.t DM2 of some detrital zircons are close to 2.7Ga,which is the fastest growth period of the North China plate.From the above,floodplain sediments of the Xar Moron River have the common features between the North China plate and Xing-Meng Orogenic Belt.But the absence of detrital zircon with age of 700 ~ 900Ma in sample XL2 resulted from sorting of river through grain size analysis and Xiliao River U-Pb ages.Through linear mixing model of U-Pb ages and t DM2 of detrital zircons,fitted cumulative probability curve suggests that mixing ratio between the North China plate and Xing-Meng Orogenic Belt is 1 ∶ 1.Furthermore,using formula of recycling ratio,ratios between remelting and juvenile crust with age have been calculated.
Model predictive control of hemodynamics during intravenous general anesthesia

In the operating rooms and the intensive care unit, it is crucial to manage the patient’s hemodynamic status, which includes factors like cardiac output and mean arterial pressure. Anesthesiologists confront a difficult task while monitoring high-risk patients. Cardiac output optimization has been found to enhance the result of high-risk patients in terms of hospital stay, mortality rate, post-operative problems, etc. The application of standard control approaches is restricted because the mean arterial pressure response of a patient using vasoactive medicines is modeled by a first-order dynamical system with time-varying parameters and a time-varying delay in the control input. In order to circumvent implementation challenges, this work develops an approximation technique that describes the system using a higher-order model. Predictive control is therefore used to comprehend the practical application of higher-order hemodynamic systems. The effectiveness of this strategy is demonstrated by the simulations and outcomes that are given.
A Two-Stream Hybrid Convolution-Transformer Network Architecture for Clothing-Change Person Re-Identification

Long-term (also called Clothing-Change) person re-identification (CC-reID) aims at confirming the identity of pedestrians captured at diverse locations and/or times. Current CC-reID methods heavily rely on ID features learned by the CNN architecture. However, with limited receptive fields, CNN is hard to effectively explore some unique but discriminative ID features (e.g., hair style, tattoo and accessories) from small body regions. Compared with CNN, Transformer has certain merits in exploring more diverse ID-unique features and retaining more details by the multi-head self-attention design and the removal of down-sampling operation. In this paper, a two-stream hybrid Convolution-Transformer Network (CT-Net) is proposed for CC-reID by combining both CNN and Transformer parallelly in an end-to-end learning scheme. Specifically, CT-Net contains a CNN-based stream (C-Stream) and a Transformer-based stream (T-Stream). Compared with using C-Stream only, T-Stream is used to encourage the C-Stream to explore more detailed ID-unique features when the clothing information is no reliable in CC-reID. Specifically, a Feature Supplement Module (FSM) is proposed to transfer features learned by T-Stream to C-Stream from low-level to high-level for mining more ID-unique feature. In order to further enhance the discriminability and complementary of ID features learned by our CT-Net, we also introduce a hierarchical supervision with bilinear pooling (HSBP). Experimental results demonstrate that CT-Net performs favorably against the state-of-the-art methods over three CC-reID benchmarks. Meanwhile, CT-Net also demonstrates good generalization ability by achieving comparable performance on traditional person re-ID datasets such as Market-1501 and DukeMTMC-reID.
Evolution of backarc rifting: Mariana Trough, 20°–24°N

The Mariana Trough is an actively opening backarc basin in the western Pacific. The trough formed by extension which longitudinally split an earlier arc massif creating a crescent-shaped basin between the remnant West Mariana Ridge and eastern active volcanoes of the Mariana Arc. Opening increases southward from the Volcano Islands near 24°N where the two arcs join. At 18°N in the central Mariana Trough the basin is widest and may be opening primarily by seafloor spreading. We present a synthesis of closely spaced shipboard gravity, magnetic, and bathymetry measurements from the northern basin (20°–24°N), an area that undergoes a significant progressive southward increase in extension. We have identified three stages in the evolution of rifting in this area: (1) asymmetric rifting from 24°N to 22°15′N where faulting and magmatism have migrated laterally to remain near the active volcanic arc side of the basin, (2) a “localization” of rifting from 22°15′N to ∼21°N where the primary zone of rifting separates from the active volcanic arc, and (3) a further concentration of rifting from 21°N to 20°N leading to the formation of deep tectonic grabens near the center of the basin. This last stage may be a precursor to (or incipient) seafloor spreading. We describe a new type of magnetic lineation resolved in a three-dimensional seafloor magnetization inversion of the trough between 20° and 24°N. The detailed character of these lineations, their association with tectonic structures, and other geophysical observations indicate that they are not seafloor spreading lineations but rather result from magnetic intrusions and volcanism emplaced within preexisting, less magnetic rifted arc crust. The development of these well-defined magnetization bands indicates that the zone of magmatism remains relatively narrow at any one time throughout the opening of the trough, although tectonic deformation appears to be more widely distributed. In addition, the geometry of the magnetization bands with respect to the remnant arc border faults indicates that rifting propagated rapidly northward.
A PRELIMINARY STUDY ON THE UTILIZATION OF MICRONUCLEUS TEST TECHNIQUE IN ALLIUM SATIVUM ROOT TIP CELL TO DETECT THE WATER QUALITYOF MIRROR LAKE

The micronucleus test of Allum satirum root tip cell was utilized to detect the water quality of mirror lake. The MCN‰and PI were determined and the Ftest was used to evaluate the statistical difference in MCN‰ among different samples. The results showed: the difference of MCN‰ among each sample isn't obviously (FF0.05, P0.05) after putting in order (May,2001). Comparing with the results (FF0.01, P0.01) before putting in order (May,1999), the water quality of mirror lake have been improved significantly and explain harnessing mirror lake are effective from 1999 to 2000. However, the index of PI among different samples after putting in order showed that the water quality of mirror was party polluted in different degrees. 
Gallium Nitride Power Amplifiers for Ka-Band Satcom Applications: Requirements, Trends, and the Way Forward

The current trend in satellite communications is moving toward high carrier frequencies and complex modulated signals, which have a nonconstant envelope, such as quadrature amplitude modulation and orthogonal frequency division multiplexing [1]. This trend has a significant impact on the design of the transmitter and in particular of the power amplifier (PA) from both the energy consumption and linearity standpoints. Energy-efficient PAs are crucial for reducing the cost of satellite transmitters. Poor efficiency can negatively impact power budget, thermal design, and weight.
Climate as the Early Warning of Outbreaks of Leptospirosis in the District of Sampang Madura Island Indonesia

In Indonesia, most transmission of leptospirosis occurs through the rat under conditions of high rainfall or flooding. Sampang is endemic leptospirosis, during March-May 2013, there were 55 patients with 8 of them died. The purpose of this study was to analyze risk factors for outbreaks leptospirosis by climatic factors. Study is cross-sectional design of variable causes or risks that occur due to the object of research are measured simultaneously. The results showed that the distribution of events is based on epidemiological characteristics of leptospirosis in districts Sampang both rainy and dry season. Analysis of climatic factors show support to the continuation of leptospirosis whose temperatures ranged from 29.35 °C-30.62 °C, humidity range between 63.4%-80.5%. Rainfall ranges from 183-190 mm. Incidence of leptospirosis in Sampang shows the distribution of leptospirosis cases from 18 subdistricts, 14 subdistricts are at risk of the occurrence of leptospirosis. Results obtained rat trapping species caught in the neighborhood residential home patients were mice (Rattus tanezumi and Rattus novergicus) and the identification of the leptospira in rat urine sewers rat positive standing of the potential risk of leptospirosis in the community. The conclusions are climatic conditions, rainfall remarkable effecting on the incidence of leptospirosis.