Miracle-dz/UniFAR-FTUs huggingface dataset:
Parallel in-order execution architecture for low-power processor

Mobile devices, such as smartphones and tablet PCs, have been widely used in everyday life. These devices are required to provide high performance for better user experience. Thereby, Application Processors (APs) equipped in mobile devices consist of a number of out-of-order superscalar cores that execute programs in a high performance. On the other hand, out-of-order cores consume much more power than in-order cores, due to their capability for dynamic scheduling of instructions. Dynamic instruction scheduling requires complex and expensive logics, such as instruction queue and wakeup/select logic. These structures consume more than 40% of total power dissipation of the out-of-order core. To address this problem, we propose Parallel In-Order Execution Architecture by introducing Parallel In-order eXecution Units (PIXU). In our design, ready-to-execute instructions are immediately issued to PIXU without dynamic scheduling but by referring simple table, namely Register Status Table (RST). Our design significantly depletes the wakeup and selection operation counts, which results in the improvement of overall energy efficiency. Consequently, our evaluation shows that our design increases the performance by 13% while reducing energy consumption to 90% with slight area overhead of 3.8% (PIXU: 2.0%, RST: 1.8%) of total area.
Subjective well-being among communities left behind by international migrants

ABSTRACT This article assesses the impact of international migration on the subjective well-being of communities of origin in Mexico. Using a representative national survey and an empirical strategy with instrumental variables, we find that higher migratory intensity, at the municipal level, increases life satisfaction among men and women. There is a negative effect on the emotional states of women, but an improvement in emotional states of men. Without controlling for schooling, a variable affected by international migration, men have a lower satisfaction with their perspective of the future. Overall, the evidence in Mexico shows that the effects of international migration in the communities of origin are complex and with differential effects based on gender.
Parser Training with Heterogeneous Treebanks

How to make the most of multiple heterogeneous treebanks when training a monolingual dependency parser is an open question. We start by investigating previously suggested, but little evaluated, strategies for exploiting multiple treebanks based on concatenating training sets, with or without fine-tuning. We go on to propose a new method based on treebank embeddings. We perform experiments for several languages and show that in many cases fine-tuning and treebank embeddings lead to substantial improvements over single treebanks or concatenation, with average gains of 2.0–3.5 LAS points. We argue that treebank embeddings should be preferred due to their conceptual simplicity, flexibility and extensibility.
Multidimensional PAM With Pseudo-Gray Coding for Flexible Data Center Interconnects

Conventional modulation formats for single carrier transmission do not provide the flexibility to gradually scale the data rate and spectral efficiency. By using multidimensional pulse-amplitude modulation, fractional numbers of bits per symbol can be achieved, which extends the flexibility and reach of intensity modulation and direct detection systems but keeps the signal processing simple. By using pseudo-Gray coding, we are able to achieve optimum mappings for various non-integer bits-to-symbol assignments. We show a transmission experiment with data rates ranging from 56 to 168 Gb/s in fine granularity over different link lengths at a symbol rate of 56 GBd.
Wide-Awake Hand Surgery: Principles and Techniques

Wide-awake hand surgery is both safe and effective for a multitude of common hand surgical procedures.Wide-awake hand surgery provides the advantages of convenience and cost savings by avoiding preoperative testing and clearances and intraoperative anesthesia.The use of epinephrine as a vasoconstrictive agent is considered safe.Phentolamine can be used as a reversal agent in the event of an adverse reaction to epinephrine. Other agents, such as phenoxybenzamine and terbutaline, can also be utilized.Patients undergoing wide-awake hand surgery have improved satisfaction and decreased pain.
Impact of Pleural Effusion on Outcomes of Patients Receiving Osimertinib for NSCLC Harboring EGFR T790M

Background/Aim: Osimertinib has demonstrated promising efficacy in patients with epidermal growth factor receptor (EGFR) T790M-positive non-small cell lung cancer (NSCLC). We investigated the efficacy of osimertinib in such patients presenting with pleural effusion, which has been unclear to date. Patients and Methods: The medical records of all patients treated with osimertinib for advanced NSCLC with EGFR T790M between April 2016 and July 2017 at our Institution were retrospectively reviewed. Time to treatment failure (TTF) and overall survival (OS) were determined as endpoints. Results: Twenty-three patients (seven with pleural effusions) were treated with osimertinib. Patients with pleural effusion had significantly shorter median TTF than those without (3.7 vs. 12.8 months, respectively, p=0.021), as well as shorter median OS (7.8 months vs. not attained, respectively, p=0.002). Metastasis to the brain, bone, and liver did not significantly influence our endpoints. Conclusion: Osimertinib monotherapy is less effective in patients with NSCLC with pleural effusions.
Torsion experiments on coarse-grained dunite: implications for microstructural evolution when diffusion creep is suppressed

Abstract Large strain deformation experiments in torsion were conducted on a coarse-grained natural dunite with a pre-existing lattice preferred orientation (LPO). Experiments were conducted at conditions where deformation by diffusion creep is initially negligible. Microstructural evolution was studied as a function of strain. We observe that the pre-existing LPO persists to a shear strain of at least 0.5. At larger strains, this LPO is transformed. Relict deformed grains exhibit LPO with [100] crystallographic axes at high angles to the shear plane. Unlike previous experimental studies, these axes do not readily rotate into the shear plane with increasing strain. Partial dynamic recrystallization occurs in samples deformed to moderate strains (γ>0.5). Recrystallized material forms bands that mostly transect grain interiors. The negligible rate of diffusion creep along relict grain boundaries, as well as the limited nature of dynamic recrystallization, may account for the relatively large strains required to observe evolution of microstructures. Our data support hypotheses based on natural samples that microstructures may preserve evidence of complex deformation histories. Relationships between LPO, seismic anisotropy and deformation kinematics may not always be straightforward.
Extensible knowledge-based architecture for segmenting CT data

A knowledge-based system has been developed for segmenting computed tomography (CT) images. Its modular architecture includes an anatomical model, image processing engine, inference engine and blackboard. The model contains a priori knowledge of size, shape, X-ray attenuation and relative position of anatomical structures. This knowledge is used to constrain low-level segmentation routines. Model-derived constraints and segmented image objects are both transformed into a common feature space and posted on the blackboard. The inference engine then matches image to model objects, based on the constraints. The transformation to feature space allows the knowledge and image data representations to be independent. Thus a high-level model can be used, with data being stored in a frame-based semantic network. This modularity and explicit representation of knowledge allows for straightforward system extension. We initially demonstrate an application to lung segmentation in thoracic CT, with subsequent extension of the knowledge-base to include tumors within the lung fields. The anatomical model was later augmented to include basic brain anatomy including the skull and blood vessels, to allow automatic segmentation of vascular structures in CT angiograms for 3D rendering and visualization.
Running Head: DCL1 Protein in Meristem and Embryo

Stephen E. Schauer, Teresa A. Golden, Delwin S. Merchant, Biranchi N. Patra, Jean D. Lang, Sumita Ray, Bulbul Chakravarti, Deb Chakravarti, and Animesh Ray Department of Biology, University of Rochester, Rochester, NY 14627, USA and Keck Graduate Institute, 535 Watson Drive, Claremont, CA 91711, USA Address communication to: Animesh Ray, Keck Graduate Institute, Claremont, CA 91711; Phone: (909) 607 9729. Email: aray@kgi.edu
Optimal incentive-based demand response management of smart households

Nowadays, the emerging smart grid technology opens up the possibility of two-way communication between customers and energy utilities. Demand response (DR) management offers the promise of saving money for commercial customers and households while helps utilities operate more efficiently. In this paper, an incentive-based DR optimization (IDRO) model is proposed to efficiently schedule household appliances for minimum usage during peak hours. Proposed method is a multi-objective optimization technique combined with Regression Analysis (RA) which is flexible and scalable. In exchange for a discount on electricity prices while minimizing the customer's welfare, the proposed IDRO algorithm coordinates all the monitored and enrolled household appliances for a better use of electricity energy. It is a cost-effective method where a data acquisition device with only one single minimal set of voltage and current sensors is required. Proposed method is tested and verified using 300 case studies (household). Data analysis for a period of one year shows up to %15 power factor improvement, up to %15 cost saving and 5 Kw/h usage reduction during peak hours for individual households.
Improved hybrid Monte Carlo–fluid model for the electrical characteristics in an analytical radio-frequency glow discharge in argon

An improved hybrid Monte Carlo–fluid model for electrons, argon ions and fast argon atoms, is presented for the rf Grimm-type glow discharge. In this new approach, all electrons, including the large slow electron group in the bulk plasma, are treated with the Monte Carlo model. The calculation results presented here are the electrical characteristics (voltage, current and power as a function of time in the rf cycle, as well as the electrical potential and field distribution in the discharge), the electron and argon ion densities, and the electron, fast argon ion and atom impact ionization rates. In particular, the newly calculated electron impact ionization rate is more reliable now, because it is explicitly calculated in the electron Monte Carlo model instead of using an approximate formula, as in the earlier fluid model. Consequently, the major difference with our previous calculation results is found in the electron impact ionization rate. The calculated electrical characteristics (voltage, current and power) are, however, very similar to the results of our previous model. The new model confirms that the plasma displacement current is lower than the ion and electron conduction currents at the typical analytical rf Grimm-type glow discharge conditions, and therefore that the plasma current and voltage are in phase with each other. This is in contrast to other modeling results published recently, but in agreement with experimental observations where the capacitive current of the measuring circuit had also been subtracted from the total current.
A Test Collection for Coreferent Mention Retrieval

This paper introduces the coreferent mention retrieval task, in which the goal is to retrieve sentences that mention a specific entity based on a query by example in which one sentence mentioning that entity is provided. The development of a coreferent mention retrieval test collection is then described. Results are presented for five coreferent mention retrieval systems, both to illustrate the use of the collection and to specify the results that were pooled on which human coreference judgments were performed. The new test collection is built from content that is available from the Linguistic Data Consortium; the partitioning and human annotations used to create the test collection atop that content are being made freely available.
Classification of surface defects on steel sheet using convolutional neural networks

A convolutional neural network (CNN) is proposed to learn multiple useful feature representations for a classification from low level (raw pixels) to high level (object). Convolutional kernels are initialized by the learned filter kernels that come from sparse auto-encoders. Unlike some traditional methods, which divide the feature abstracting and classifier training into two separated processes, a discriminative feature vector and a single multi-class classifier of softmax regression are learned simultaneously during the training process. Based on the learned high-quality feature representation, the classification can be efficiently performed. A real-world case of surface defects on steel sheet, which evaluates the classification performance of the proposed method, is depicted in detail. The experimental results indicate that the proposed method is quite simple, effective and robustness for the classification of surface defects on hot-rolled steel sheet.
DEXTER: Disease-Expression Relation Extraction from Text

Abstract Gene expression levels affect biological processes and play a key role in many diseases. Characterizing expression profiles is useful for clinical research, and diagnostics and prognostics of diseases. There are currently several high-quality databases that capture gene expression information, obtained mostly from large-scale studies, such as microarray and next-generation sequencing technologies, in the context of disease. The scientific literature is another rich source of information on gene expression–disease relationships that not only have been captured from large-scale studies but have also been observed in thousands of small-scale studies. Expression information obtained from literature through manual curation can extend expression databases. While many of the existing databases include information from literature, they are limited by the time-consuming nature of manual curation and have difficulty keeping up with the explosion of publications in the biomedical field. In this work, we describe an automated text-mining tool, Disease-Expression Relation Extraction from Text (DEXTER) to extract information from literature on gene and microRNA expression in the context of disease. One of the motivations in developing DEXTER was to extend the BioXpress database, a cancer-focused gene expression database that includes data derived from large-scale experiments and manual curation of publications. The literature-based portion of BioXpress lags behind significantly compared to expression information obtained from large-scale studies and can benefit from our text-mined results. We have conducted two different evaluations to measure the accuracy of our text-mining tool and achieved average F-scores of 88.51 and 81.81% for the two evaluations, respectively. Also, to demonstrate the ability to extract rich expression information in different disease-related scenarios, we used DEXTER to extract information on differential expression information for 2024 genes in lung cancer, 115 glycosyltransferases in 62 cancers and 826 microRNA in 171 cancers. All extractions using DEXTER are integrated in the literature-based portion of BioXpress. Database URL: http://biotm.cis. udel.edu/DEXTER
Photoluminescent Detection of Dissolved Underwater Trace Explosives

A portable, rapid, and economical method for in situ trace explosive detection in aqueous solutions was demonstrated using photoluminescence. Using europium/thenoyltrifluoroacetone as the reagent, dissolved nitroglycerin was fluorescently tagged and detected in seawater solutions without sample preparation, drying, or preconcentration. The chemical method was developed in a laboratory setting and demonstrated in a flow-through configuration using lightweight, inexpensive, commercial components by directly injecting the reagents into a continually flowing seawater stream using a small amount of organic solvent (approximately 8% of the total solution). Europium's vulnerability to vibrational fluorescence quenching by water provided the mode of detection. Without nitroglycerin in the seawater solution, the reagent's fluorescence was quenched, but when dissolved nitroglycerin was present, it displaced the water molecules from the europium/thenoyltrifluoroacetone compound and restored fluorescence. This effort focused on developing a seawater sensor, but performance comparisons were made to freshwater. The method was found to perform better in freshwater and it was shown that certain seawater constituents (such as calcium) have an adverse impact. However, the concentrations of these constituents are not expected to vary significantly from the natural seawater used herein.
A W-Band Balanced Power Amplifier Using Broadside Coupled Strip-Line Coupler in SiGe BiCMOS 0.13- $\mu\text{m}$  Technology

Load-variation insensitivity, for impedance matching between power amplifiers (PAs) and transmitting antennas, contributes to challenging the design of millimeter-wave wireless systems. In this paper, a <inline-formula> <tex-math notation="LaTeX">$W$ </tex-math></inline-formula>-band two-way balanced PA based on a compact quadrature coupler with a broadside coupled strip-line (BCSL) as the core is presented to enhance the load-variation insensitivity and stability. The proposed coupler is truly broadband with low amplitude and phase imbalance. The proposed <inline-formula> <tex-math notation="LaTeX">$W$ </tex-math></inline-formula>-band balanced PA achieves higher power-added efficiency (PAE) and unsaturated output power <inline-formula> <tex-math notation="LaTeX">${P} _{\mathrm{ sat}}$ </tex-math></inline-formula> over wide frequency bandwidth. The <inline-formula> <tex-math notation="LaTeX">$W$ </tex-math></inline-formula>-band balanced PA is implemented in a 0.13-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> SiGe BiCMOS process and achieves a measured <inline-formula> <tex-math notation="LaTeX">${P} _{\mathrm{ sat}}$ </tex-math></inline-formula> of 16.3 dBm and a peak PAE of 14.1% at 100 GHz (with 1.6-V power supply). The measured <inline-formula> <tex-math notation="LaTeX">${P} _{\mathrm{ sat}}$ </tex-math></inline-formula> with 1-dB bandwidth is from 91 to 102 GHz. The measured results present the feasibility of the compact quadrature coupler. The total chip surface area (with pads) is 0.64 mm<sup>2</sup>, where the size of the proposed quadrature coupler area is only 0.04 mm<sup>2</sup>.
MicroRNA Profiling: From Dark Matter to White Matter, or Identifying New Players in Neurobiology

Contemporary biology has been revolutionized by a recently discovered class of small regulatory RNA molecules, microRNAs (miRNAs). Missed by researchers for decades due to their tiny size, usually mapping to non-protein-coding regions of genomes, miRNAs and miRNA-mediated regulatory networks have been the “dark matter” of molecular biology. Deciphering miRNA pathways and functions in the CNS of complex organisms is tightly linked to understanding miRNA expression patterns. To facilitate these emerging studies, I here review the basic principles of medium- and high-throughput technologies available for miRNA expression profiling.
The IR-thermal imaging method for evaluation of the status of myocardial coronary vessels under the condition of artificial blood circulation.

BACKGROUND In this paper a method is proposed to evaluate the heart's coronary vessels' status based on the elimination of large coronary branches from IR-thermal image. This method makes it possible to determine nutrient cardiac blood circulation by calculation of the rate of heat spreading in small coronary vessels in the myocardium at hypothermia and hyperthermia under the conditions of artificial blood circulation. OBJECTIVE The objective of the paper includes a theoretical substantiation of the proposed method for evaluation of the heart's coronary vessels' status and an experimental investigation of the efficiency of the method. METHODS In the experiment, the dynamics of temperature distribution in the myocardium were registered by using thermal imaging cameras Flir i7 and Thermo Cam E300. RESULTS Processing of the myocardium's thermographic images and the results of heat spreading modeling make it possible to single out the temperature profiles of the visible myocardium zones and to establish the presence of coronary arteries in them. CONCLUSIONS The method makes it possible to monitor the heart temperature at hypothermia and hyperthermia; additionally, it makes it possible to evaluate the efficiency of the coronary artery bypass graft surgery performed during open heart operation.
The Affective and Neural Correlates of Heroin versus Cocaine Use in Addiction Are Influenced by Environmental Setting But in Opposite Directions

Previous studies have shown that individuals with heroin and cocaine addiction prefer to use these drugs in distinct settings: mostly at home in the case of heroin and mostly outside the home in the case of cocaine. Here we investigated whether the context would modulate the affective and neural responses to these drugs in a similar way. First, we used a novel emotional task to assess the affective state produced by heroin or cocaine in different settings, based on the recollections of male and female drug users. Then we used fMRI to monitor neural activity during drug imagery (re-creating the setting of drug use) in male drug users. Consistent with our working hypothesis, the majority of participants reported a shift in the affective valence of heroin from mostly pleasant at home to mostly unpleasant outside the home (p < 0.0001). The opposite shift was observed for cocaine; that is, most participants who found cocaine pleasant outside the home found it unpleasant when taken at home (p < 0.0014). Furthermore, we found a double dissociation, as a function of drug and setting imagery, in BOLD signal changes in the left PFC and caudate, and bilaterally in the cerebellum (all p values <0.01), suggesting that the fronto-striatal-cerebellar network is implicated in the contextualization of drug-induced affect. In summary, we report that the same setting can influence in opposite directions the affective and neural response to psychostimulants versus opiates in humans, adding to growing evidence of distinct substrates for the rewarding effects of these two drug classes. SIGNIFICANCE STATEMENT The rewarding effects of addictive drugs are often thought to depend on shared substrates. Yet, environmental influences can unmask striking differences between psychostimulants and opiates. Here we used emotional tasks and fMRI to explore the influence of setting on the response to heroin versus cocaine in individuals with addiction. Simply moving from one setting to another significantly decreased heroin pleasure but increased cocaine pleasure, and vice versa. Similar double dissociation was observed in the activity of the fronto-striatal-cerebellar network. These findings suggest that the effects of opiates and psychostimulants depend on dissociable psychological and neural substrates and that therapeutic approaches to addiction should take into account the peculiarities of different drug classes and the settings of drug use.