Miracle-dz/UniFAR-FTUs huggingface dataset:
Handing DVFS to Hardware : Using Power Capping to Control Software Performance

Dynamic voltage and frequency scaling (DVFS) has been the cornerstone of innumerable software approaches to meeting application performance requirements with minimal energy. However, recent trends in technology—e.g., moving voltage converters on chip—favor hardware control of DVFS, as hardware can both react faster to external events and perform fine-grained power management across a device. We respond to these trends with CoPPer, which instead uses hardware power capping to meet application performance requirements with high energy efficiency. We find that meeting performance requirements with power capping is more challenging than using DVFS because the relationship between power and performance is non-linear and has diminishing returns at high power values. CoPPer overcomes these difficulties by using adaptive control to approximate nonlinearities and a novel gain limit to avoid over-allocating power when it is no longer beneficial. We evaluate CoPPer with 20 parallel applications on a dual-socket, 32-core server system and compare it to both a simple linear DVFS controller and to an existing control-theoretic, model-driven software DVFS manager. CoPPer does not require a userspecified model or application pre-characterization, yet provides all the functionality of the sophisticated DVFS-based approach. Compared to DVFS, CoPPer’s gain limit reduces energy by 6% on average and by 12% for memory-bound applications. For high performance requirements, the energy savings are even greater: 8% on average and 18% for memory-bound applications.
Exogenous and endogenous nitrogen flow rates and level of protein hydrolysis in the human jejunum after [15N]milk and [15N]yoghurt ingestion

Milk and yoghurt proteins were 15N-labelled in order to measure the flow rate of exogenous N during digestion in the human intestine. After fasting overnight, sixteen healthy volunteers, each with a naso-jejunal tube, ingested either [15N]milk (n 7) or [15N]yoghurt (n 9). Jejunal samples were collected every 20 min for 4 h. A significant stimulation of endogenous N secretion was observed during the 20–60 min period after yoghurt ingestion and the 20–40 min period after milk ingestion. The endogenous N flows over a 4 h period did not differ between the groups (44·3 (SEM 6·5) mmol for milk and 63·5 (SEM 5·9) mmol for yoghurt). The flow rates of exogenous N indicated a delayed gastric emptying of the yoghurt N compared with N from milk. The jejunal non-protein N (NPN) flow rate increased significantly after milk and yoghurt ingestion due to an increase in the exogenous NPN flow rate. The NPN fraction of exogenous N ranged between 40 and 80%. The net gastro-jejunal absorption of exogenous N did not differ significantly between milk (56·7 (SEM 8·5)%) and yoghurt (50·9 (SEM 7)%). The high level of exogenous N hydrolysis is in accordance with the good digestibility of milk products. Fermentation modifies only the gastric emptying rate of N and does not affect the level of diet hydrolysis, the endogenous N stimulation or the digestibility rate.
Metahemoglobinemia en un lactante por consumo de agua con alto contenido de nitratos en Camagüey

Introduccion: la contaminacion del agua subterranea por nitratos constituye un problema de actualidad que puede afectar a los lactantes, no solo en los paises en vias de desarrollo sino tambien en los desarrollados. Objetivo: reportar un caso de metahemoglobinemia infantil en la provincia relacionado con el consumo de agua con alto contenido de nitratos. Caso clinico: lactante de tres meses de edad de la raza blanca, prematura de 28 semanas, bajo peso (980g), que nace en un lugar de dificil acceso del municipio Najasa de la provincia de Camaguey y egresa con un peso de 2 700g, lactancia mixta y seguimiento por consulta de neurodesarrollo con indicacion de suplementos de sales de hierro y vitaminas. Posteriormente acude a consulta de esta especialidad, donde se observa en la nina cianosis severa compatible con metahemoglobinemia y cifras de metahemoglobina de 67 %. A pesar del tratamiento intensivo fallece a las 72 horas. Se comprueban cifras de nitratos en el agua de consumo de su comunidad que cuadriplica los valores aceptados. Conclusiones: la metahemoglobinemia asociada a lactancia artificial o mixta y al consumo de agua con alto contenido de nitratos es una enfermedad potencialmente mortal pero prevenible, por lo que se hace necesaria estrategias educativas en la atencion primaria de salud, promoviendo la lactancia materna y la ebullicion correcta del agua de consumo, la eliminacion de las posibles fuentes de contaminacion, ademas de otras alternativas. Palabras clave: metahemoglobinemia; cianosis; agua de consumo subterraneo; nitratos; lactante.
Effects and possible mechanisms of Alpinia officinarum ethanol extract on indomethacin-induced gastric injury in rats

Abstract Context: Alpinia officinarum Hance (Zingiberoside) has a long history in treating gastrointestinal diseases, but its mechanisms of action are not yet known. Objective: To investigate the effects and underlying mechanisms of the ethanol extract of A. officinarum rhizomes in an indomethacin-induced gastric injury rat model. Material and methods: Indomethacin (0.3 g/kg) was orally administered to Sprague-Dawley rats to induce gastric damage; after 7 h, the rats were treated with 0.03, 0.09, or 0.18 g/kg of the plant extract, galangin (0.2 g/kg), or bismuth potassium citrate (0.08 g/kg), once a day for 6 days. Rats in the control group received an equivalent volume of vehicle solution for 6 days. Gastric damage was evaluated by gross ulcer and histological indexes. Cyclooxygenase and non-cyclooxygenase pathway proteins were quantified by western blotting and ELISA. Results: Alpinia officinarum extract ameliorated gastric injury in a dose-dependent manner, and 0.18 g/kg dose exhibited the best performance by reducing the gross ulcer (from 20.23 ± 1.38 to 1.66 ± 0.37) and histological (from 4.67 ± 1.03 to 0.33 ± 0.51) indexes, decreasing serum TNF-α level (14.17%), increasing serum VEGF level (1.58 times), increasing cyclooxygenase-1 level (1.25 times, p < 0.001) in the gastric mucosa, and reversing indomethacin-induced changes in the expression of non-cyclooxygenase pathway proteins (p < 0.05). Galangin was less effective as an antiulcer agent than the whole extract, indicating that other components also contributed to the protective effect. Conclusions: Alpinia officinarum extract and galangin exert antiulcer effects through cyclooxygenase and non-cyclooxygenase pathways validating use of galangin as a treatment for gastric damage.
Reversible second-order conditional sequences in incidental sequence learning tasks

In sequence learning tasks, participants’ sensitivity to the sequential structure of a series of events often overshoots their ability to express relevant knowledge intentionally, as in generation tasks that require participants to produce either the next element of a sequence (inclusion) or a different element (exclusion). Comparing generation performance under inclusion and exclusion conditions makes it possible to assess the respective influences of conscious and unconscious learning. Recently, two main concerns have been expressed concerning such tasks. First, it is often difficult to design control sequences in such a way that they enable clear comparisons with the training material. Second, it is challenging to ask participants to perform appropriately under exclusion instructions, for the requirement to exclude familiar responses often leads them to adopt degenerate strategies (e.g., pushing on the same key all the time), which then need to be specifically singled out as invalid. To overcome both concerns, we introduce reversible second-order conditional (RSOC) sequences and show (a) that they elicit particularly strong transfer effects, (b) that dissociation of implicit and explicit influences becomes possible thanks to the removal of salient transitions in RSOCs, and (c) that exclusion instructions can be greatly simplified without losing sensitivity.
Effect of 2.94 µm Er: YAG laser on the chemical composition of hard tissues

The aim was to investigate the effect of the Er‐YAG laser radiation on morphology and chemical composition of enamel, dentin, and bone. The specimens of the three groups were irradiated with a very long pulse mode (VLP) of 2.94 µm Er‐YAG laser with 100 mJ pulse energy and energy density of 8.42 J/ cm2 for 30 s, at a repetition rate of 15 Hz. The organic and inorganic content of the samples were investigated by Fourier Transforms Infrared spectroscopy (FTIR). The morphological characteristics were investigated with scanning electron microscopy (SEM) and elemental analysis (calcium and phosphorus) with energy‐dispersive X‐ray spectroscopy (EDX). FTIR data were analyzed with a One‐Way ANCOVA test and EDX data with the independent sample t‐test. Following the laser radiation, FTIR showed a significant decrease in the organic content of all tissues. The weight percentage (wt %) calcium content of dentin and bone increased significantly following irradiation with a p‐value of . 002 for both tissues, but the wt % of phosphorus content was not influenced significantly. The morphological alterations expressed signs of fusion in all the samples.
Intensity of Multilingual Language Use Predicts Cognitive Performance in Some Multilingual Older Adults

Cognitive advantages for bilinguals have inconsistently been observed in different populations, with different operationalisations of bilingualism, cognitive performance, and the process by which language control transfers to cognitive control. This calls for studies investigating which aspects of multilingualism drive a cognitive advantage, in which populations and under which conditions. This study reports on two cognitive tasks coupled with an extensive background questionnaire on health, wellbeing, personality, language knowledge and language use, administered to 387 older adults in the northern Netherlands, a small but highly multilingual area. Using linear mixed effects regression modeling, we find that when different languages are used frequently in different contexts, enhanced attentional control is observed. Subsequently, a PLS regression model targeting also other influential factors yielded a two-component solution whereby only more sensitive measures of language proficiency and language usage in different social contexts were predictive of cognitive performance above and beyond the contribution of age, gender, income and education. We discuss these findings in light of previous studies that try to uncover more about the nature of bilingualism and the cognitive processes that may drive an advantage. With an unusually large sample size our study advocates for a move away from dichotomous, knowledge-based operationalisations of multilingualism and offers new insights for future studies at the individual level.
Suspended Carbon Nanotubes for Humidity Sensing

A room temperature microfabrication technique using SU8, an epoxy-based highly functional photoresist as a sacrificial layer, is developed to obtain suspended aligned carbon nanotube beams. The humidity-sensing characteristics of aligned suspended single-walled carbon nanotube films are studied. A comparative study between suspended and non-suspended architectures is done by recording the resistance change in the nanotubes under humidity. For the tests, the humidity was varied from 15% to 98% RH. A comparative study between suspended and non-suspended devices shows that the response and recovery times of the suspended devices was found to be almost 3 times shorter than the non-suspended devices. The suspended devices also showed minimal hysteresis even after 10 humidity cycles, and also exhibit enhanced sensitivity. Repeatability tests were performed by subjecting the sensors to continuous humidification cycles. All tests reported here have been performed using pristine non-functionalized nanotubes.
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

We present AlphaX, a fully automated agent that designs complex neural architectures from scratch. AlphaX explores the exponentially grown search space with a distributed Monte Carlo Tree Search (MCTS) and a Meta-Deep Neural Network (DNN). MCTS intrinsically improves the search efficiency by dynamically balancing the exploration and exploitation at fine-grained states, while Meta-DNN predicts the network accuracy to guide the search, and to provide an estimated reward to speed up the rollout. As the search progresses, AlphaX also generates the training data for Meta-DNN. So, the learning of Meta-DNN is end-to-end. In 14 days with only 16 GPUs (1832 samples), AlphaX found an architecture that reaches the state-of-the-art accuracies on both CIFAR-10(97.18%) and ImageNet(75.5% top-1 and 92.2% top-5). This demonstrates up to 10x speedup over the original searching for NASNet that used 500 GPUs in 4 days (20000 samples). On NASBench-101, AlphaX demonstrates 3x and 2.8x speedup over Random Search and Regularized Evolution. Finally, we show the searched architecture improves a variety of vision applications from Neural Style Transfer, to Image Captioning and Object Detection. Our implementation is available at this https URL.
Incorporating Glosses into Neural Word Sense Disambiguation

Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods. However, previous neural networks for WSD always rely on massive labeled data (context), ignoring lexical resources like glosses (sense definitions). In this paper, we integrate the context and glosses of the target word into a unified framework in order to make full use of both labeled data and lexical knowledge. Therefore, we propose GAS: a gloss-augmented WSD neural network which jointly encodes the context and glosses of the target word. GAS models the semantic relationship between the context and the gloss in an improved memory network framework, which breaks the barriers of the previous supervised methods and knowledge-based methods. We further extend the original gloss of word sense via its semantic relations in WordNet to enrich the gloss information. The experimental results show that our model outperforms the state-of-the-art systems on several English all-words WSD datasets.
Distant Domain Transfer Learning

In this paper, we study a novel transfer learning problem termed Distant Domain Transfer Learning (DDTL). Different from existing transfer learning problems which assume that there is a close relation between the source domain and the target domain, in the DDTL problem, the target domain can be totally different from the source domain. For example, the source domain classifies face images but the target domain distinguishes plane images. Inspired by the cognitive processof human where two seemingly unrelated concepts can be connected by learning intermediate concepts gradually, we propose a Selective Learning Algorithm (SLA) to solve the DDTL problem with supervised autoencoder or supervised convolutional autoencoder as a base model for handling different types of inputs. Intuitively, the SLA algorithm selects usefully unlabeled data gradually from intermediate domains as a bridge to break the large distribution gap for transferring knowledge between two distant domains. Empirical studies on image classification problems demonstrate the effectiveness of the proposed algorithm, and on some tasks the improvement in terms of the classification accuracy is up to 17% over “non-transfer” methods.
TheraCal LC: From Biochemical and Bioactive Properties to Clinical Applications

Background Direct pulp capping is a popular treatment modality among dentists. TheraCal LC is a calcium silicate-based material that is designed as a direct/indirect pulp capping material. The material might be very attractive for clinicians because of its ease of handling. Unlike other calcium silicate-based materials, TheraCal LC is resin-based and does not require any conditioning of the dentine surface. The material can be bonded with different types of adhesives directly after application. There has been considerable research performed on this material since its launching; however, there are no review articles that collates information and data obtained from these studies. This review discusses the various characteristics of the material with the aim of establishing a better understanding for its clinical use. Methods A search was conducted using search engines (PubMed and Cochrane databases) in addition to reference mining of the articles that was used to locate other papers. The process of searching for the relevant studies was performed using the keywords pulp protection, pulp capping, TheraCal, and calcium silicates. Only articles in English published in peer-reviewed journals were included in the review. Conclusion This review underlines the fact that further in vitro and in vivo studies are required before TheraCal LC can be used as a direct pulp capping material.
Reinforcing Effect of Optogenetic Stimulation of Dorsal Subiculum

The subiculum is a subregion of the hippocampus that sends projections from the hippocampus to several cortical and limbic structures involved in mediating motivated behaviors such as the medial prefrontal cortex (mPFC), nucleus accumbens (Nacc), amygdala, and hypothalamus. Electrophysiological and pharmacological studies have demonstrated that the subiculum itself can modulate certain motivated behaviors. Prior work has often focused on the ventral portion of the subiculum (vSUB), as electrically stimulating the vSUB can induce reinstatement of cocaine seeking behavior. However, no studies to date have shown whether stimulation of the dorsal subiculum (dSUB) can affect operant responding or motivated behavior. Here we demonstrate that mice placed in custom built operant nose poke chambers will nose poke for optogenetic stimulation of the dSUB. This reinforcing effect was significantly greater than baseline nose poking rates or poking for a light cue and was dependent on the frequency of stimulation, with increased frequency correlating with increased self-stimulation rates. Stimulating subicular projections to the Nacc also significantly increased self-stimulation rates, indicating a role for dSUB to Nacc projections in mediating the reinforcing effects of selfstimulation. Acute and chronic administration of cocaine had no effect on laser self-stimulation rates, however, administration of dopamine D1 receptor antagonist SCH-23390 or muscarinic acetylcholine receptor (mAChR) antagonist scopolamine significantly reduced laser self-
Catering to Your Concerns

Android users are increasingly concerned with the privacy of their data and security of their devices. To improve the security awareness of users, recent automatic techniques produce security-centric descriptions by performing program analysis. However, the generated text does not always address users’ concerns as they are generally too technical to be understood by ordinary users. Moreover, different users have varied linguistic preferences that do not match the text. Motivated by this challenge, we develop an innovative scheme to help users avoid malware and privacy-breaching apps by generating security descriptions that explain the privacy and security related aspects of an Android app in clear and understandable terms. We implement a prototype system, PERSCRIPTION, to generate personalised security-centric descriptions that automatically learn users’ security concerns and linguistic preferences to produce user-oriented descriptions. We evaluate our scheme through experiments and user studies. The results clearly demonstrate the improvement on readability and users’ security awareness of PERSCRIPTION’s descriptions compared to existing description generators.
Do Transfer Pricing Rules Distort R&D Investment Decisions?

This study analyzes the impact of transfer pricing on multinational enterprises' R&D investment decisions. Specifically, I examine the effects of two commonly used contract designs to exchange and develop intangible assets across group affiliates: licensing and cost sharing agreements. Whilst serving as a tool to allocate taxable income between group affiliates, the economic implications of licensing and cost sharing agreements differ. Whereas licensing agreements provide for a sharing rule on the intangible's profits, cost sharing agreements on the other hand provide a sharing rule on R&D development costs. This difference matters when firms simultaneously use internal transfer prices to allocate taxable income and provide local management with sufficient investment incentives. Using a multiple-agent, moral hazard investment framework I model a multinational firm with comparable group affiliates in two countries that delegates the R&D investment decision to a local risk and effort averse affiliate manager. The results suggest that the optimal contract not only depends on available tax benefits, but also on R&D investment and manager specific characteristics. A licensing agreement provides management with larger incentives to invest in R&D mitigating agency concerns associated with R&D. On the other hand, using a cost sharing agreement the firm can cater different risk preferences among managers potentially increasing investment. The arm's length principle however may distort an efficient allocation of R&D costs when using a cost sharing agreement.
Transforming growth factor‐β signalling in renal fibrosis: from Smads to non‐coding RNAs

Transforming growth factor‐β (TGF‐β) is the key player in tissue fibrosis. However, antifibrotic therapy targeting this multifunctional protein may interfere with other physiological processes to cause side effects. Thus, precise therapeutic targets need to be identified by further understanding the underlying mechanisms of TGF‐β1 signalling during fibrogenesis. Equilibrium of Smad signalling is crucial for TGF‐β‐mediated renal fibrosis, where Smad3 is pathogenic but Smad2 and Smad7 are protective. The activation of TGF‐β1/Smad signalling triggers extracellular matrix deposition, and local myofibroblast generation and activation. Mechanistic studies have shown that TGF‐β/Smad3 transits the microRNA profile from antifibrotic to profibrotic and therefore promotes renal fibrosis via regulating non‐coding RNAs at transcriptional levels. More importantly, disease‐specific Smad3‐dependent long non‐coding RNAs have been recently uncovered from mouse kidney disease models and may represent novel precision therapeutic targets for chronic kidney disease. In this review, mechanisms of TGF‐β‐driven renal fibrosis via non‐coding RNAs and their translational capacities will be discussed in detail.