Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling

Increasing energy consumption in server consolidation environments leads to high maintenance costs for data centers. Main memory, no less than processor, is a major energy consumer in this environment. This paper proposes a technique for reducing memory energy consumption using virtual machine scheduling in multicore systems. We devise several heuristic scheduling algorithms by using a memory power simulator, which we designed and implemented. We also implement the biggest cover set first (BCSF) scheduling algorithm in the working server system. Through extensive simulation and implementation experiments, we observe the effectiveness of the memory-aware virtual machine scheduling in saving memory energy. In addition, we find out that power-aware memory management is essential to reduce the memory energy consumption.
Relationship between monocyte-to-lymphocyte ratio and coronary plaque vulnerability in patients with stable angina.

AIM To investigate the relationship between monocyte-to-lymphocyte ratio (MLR) and plaque vulnerability assessed by virtual histology intravascular ultrasound in patients with stable angina. METHODS 133 patients with stable angina were enrolled. RESULTS MLR was found to be an independent risk factor of thin cap fibrous atheroma (OR: 2.61; p = 0.025). MLR could differentiate thin cap fibrous atheroma with a sensitivity of 73.7% and a specificity of 61.8%. MLR level was positively correlated with the percentage of necrotic core (NC) area at the sites of minimum lumen area and the largest NC area, and positively related to the percentage of NC volume. CONCLUSION Circulating MLR level has potential in identifying the vulnerable plaques in the setting of stable angina.
M2M Traffic via Random Access Satellite links: Interactions between Transport and MAC Layers

Machine-to-machine services are witnessing an unprecedented diffusion, which is expected to result in an ever-increasing data trafﬁc load. In this context, satellite technology is playing a pivotal role, since it enables a widespread provisioning of machine-to-machine services. In particular, oil industry, maritime communications, as well as remote monitoring are sectors where the use of satellite communications is expected to dramatically explode within the next few years. In the light of this sudden increase of machine-to-machine data transported over satellite, a more thorough understanding of machine-to-machine service implementation over satellite is required, especially focusing on the interaction between transport and MAC layers of the protocol stack. Starting from these observations, this paper thoroughly analyses the interaction between TCP and the Contention Resolution Diversity Slotted Aloha access scheme deﬁned in the DVB-RCS2 standard, assuming the use of an MQTT-like protocol to distribute machine-to-machine services. A novel TCP model is developed and validated through extensive simulation campaigns, which also shed important lights on the design choices enabling the efﬁcient transport of machine-to-machine data via satellite.
Region analysis and transformation for Java programs

This paper presents a region analysis and transformation framework for Java programs. Given an input Java program, the compiler automatically translates it into an equivalent output program with region-based memory management. The generated program contains statements for creating regions, allocating objects in regions, removing regions, and passing regions as parameters. As a particular case, the analysis can enable the allocation of objects on the stack. Our algorithm uses a flow-insensitive and context-sensitive points-to analysis to partition the memory of the program into regions and to identify points-to relations between regions. It then performs a flow-sensitive, inter-procedural region liveness analysis to identify object lifetimes. Finally, it uses the computed region information to produce the region annotations in the output program. Our results indicate that, for several of our benchmarks, the transformation can allocate most of the data on stack or in short-lived regions, and can yield substantial memory savings.
Myxoma Virus Oncolytic Efficiency Can Be Enhanced Through Chemical or Genetic Disruption of the Actin Cytoskeleton

Myxoma virus (MYXV) is one of many animal viruses that exhibit oncolytic properties in transformed human cells. Compared to orthopoxviruses like vaccinia (VACV), MYXV spreads inefficiently, which could compromise its use in treating tumors and their associated metastases. The VACV F11 protein promotes virus exit and rapid spread by inhibiting Rho signalling, which results in a disruption of cortical actin. We have previously shown that although MYXV lacks an F11 homolog, the F11L gene can be introduced into MYXV promoting the spread of this Leporipoxvirus in natural host cells. Here we show that the F11-encoding (F11L+) MYXV strain replicates to higher levels in a number of human cancer cells. We also show that F11L+ MYXV induces better tumor control and prolonged survival of mice bearing MDA-MB-231 cancer cells. Furthermore, we show that this virus also spreads more efficiently from the site of growth in one injected tumor, to a second untreated tumor. While we focused mostly on the use of a modified MYXV we were able to show that the effects of F11 on MYXV growth in cancer cells could be mimicked through the use of pharmacological inhibition or siRNA-mediated silencing of key regulators of cortical actin (RhoA, RhoC, mDia1, or LIMK2). These data suggest that it may be possible to increase the oncolytic efficacy of wild-type MYXV using chemical inhibitors of RhoA/C or their downstream targets. Furthermore, since all viruses must overcome barriers to exit posed by structures like cortical actin, these findings suggest that the oncolytic activity of other viruses may be enhanced through similar strategies.
Human Macrophage–derived Chemokine (MDC), a Novel Chemoattractant for Monocytes, Monocyte-derived Dendritic Cells, and Natural Killer Cells

A cDNA encoding a novel human chemokine was isolated by random sequencing of cDNA clones from human monocyte-derived macrophages. This protein has been termed macrophagederived chemokine (MDC) because it appears to be synthesized specifically by cells of the macrophage lineage. MDC has the four-cysteine motif and other highly conserved residues characteristic of CC chemokines, but it shares <35% identity with any of the known chemokines. Recombinant MDC was expressed in Chinese hamster ovary cells and purified by heparin– Sepharose chromatography. NH2-terminal sequencing and mass spectrophotometry were used to verify the NH2 terminus and molecular mass of recombinant MDC (8,081 dalton). In microchamber migration assays, monocyte-derived dendritic cells and IL-2–activated natural killer cells migrated to MDC in a dose-dependent manner, with a maximal chemotactic response at 1 ng/ml. Freshly isolated monocytes also migrated toward MDC, but with a peak response at 100 ng/ml MDC. Northern analyses indicated MDC is highly expressed in macrophages and in monocyte-derived dendritic cells, but not in monocytes, natural killer cells, or several cell lines of epithelial, endothelial, or fibroblast origin. High expression was also detected in normal thymus and less expression in lung and spleen. Unlike most other CC chemokines, MDC is encoded on human chromosome 16. MDC is thus a unique member of the CC chemokine family that may play a fundamental role in the function of dendritic cells, natural killer cells, and monocytes.
Role of the subthalamic nucleus in the circuitry mediating food- and cocaine -seeking behavior

The subthalamic nucleus (STN) is part of the basal ganglia, which play a crucial role in motor control and in processing information from motor cortical areas. Although the STN is classically considered a motor structure, recent studies suggest that it may also be involved in the motivation for natural and drug reward. The STN may differentially modulate natural and drug reward via circuitry that includes the nucleus accumbens (NAcc), a structure belonging to the mesocorticolimbic circuit which has been identified as the neural substrate of the reinforcing effects of reward. Here, we assess the effects of bilateral STN lesions on the self-administration (SA) and subsequent reinstatement of sucroseand cocaine-seeking behavior. Bilateral STN lesions block reinstatement of cocaine-seeking behavior, but not the reinstatement of food-seeking behavior. Neuronal correlates in the NAcc are also investigated. NAcc neurons respond to cocaine or sucrose and the conditioned stimulus (CS) during SA and the CS during reinstatement. Moreover, STN lesions have profound effects on these responses. Additionally, we assess the effects of STN lesions on operant responding for reward under a progressive ratio (PR) schedule of reinforcement, a schedule thought to measure the reinforcing efficacy of rewards. Bilateral STN lesions enhance responding for sucrose reward, but attenuate responding for cocaine reward. Furthermore, STN lesions differentially modulate NAcc neuronal activity associated with operant responding for either sucrose or cocaine reward under a PR schedule of reinforcement. Collectively, these results provide additional evidence for the role of the STN in foodand cocaine-seeking behavior and further support the NAcc in foodand cocaine-seeking behavior. In conclusion, these
A Critical Comparison Between DWT and Hilbert–Huang-Based Methods for the Diagnosis of Rotor Bar Failures in Induction Machines

In this paper, a cutting-edge time-frequency decomposition tool, i.e., the Hilbert-Huang transform (HHT), is applied to the stator startup current to diagnose the presence of rotor asymmetries in induction machines. The objective is to extract the evolution during the startup transient of the left sideband harmonic (LSH) caused by the asymmetry, which constitutes a reliable evidence of the presence of the fault. The validity of the diagnosis methodology is assessed through several tests developed using real experimental signals. Moreover, in this paper, an analytical comparison with an alternative time-frequency decomposition tool, i.e., the discrete wavelet transform (DWT), is carried out. This tool was applied in previous works to the transient extraction of fault-related components, with satisfactory results, even in cases in which the classical Fourier approach does not lead to correct results. The results of the application of the HHT and DWT are analyzed and compared, obtaining novel conclusions about their respective suitability for the transient extraction of asymmetry-related components, as well as the equivalence, with regard to the LSH extraction, between their basic components, namely: 1) intrinsic mode function, for the HHT, and 2) approximation signal for the DWT.
ANALYSIS OF STUDENT & TEACHER OUTCOMES FROM PRE-EXISTING DATA OBTAINED THROUGH THE LOW INCIDENCE INITIATIVE: TEACHING ACADEMIC AGE-APPROPRIATE LEARNING VIA COMMUNICATION PROJECT

OF THESIS ANALYSIS OF STUDENT & TEACHER OUTCOMES FROM PRE-EXISTING DATA OBTAINED THROUGH THE LOW INCIDENCE INITIATIVE: TEACHING ACADEMIC AGE-APPROPRIATE LEARNING VIA COMMUNICATION PROJECT Students with significant cognitive disabilities frequently exhibit reduced communicative and academic competence. The Low Incidence Initiative (LII) project was a professional development model designed to train school-based teams to facilitate increased communicative and academic competence with such students via distancetechnology coaching. This study analyzed pre-existing data from year one of the LII. Data were analyzed to determine effectiveness of the project on communication status of students and on training school personnel to accurately identify student levels of communication, and for overall satisfaction with the project. Results indicated that all student participants demonstrated improvement in expressive communication output. 100% of students who required augmentative and alternative communication (AAC) increased in the complexity of AAC used. Some improvement in school personnel’s identification of student communication levels was demonstrated, however, the continued discrepancy between LII staff and school personnel indicates a need for additional training in this area. Qualitative analysis of survey question responses, and other anecdotal information, revealed an overwhelming satisfaction with the LII model, increased communicative sophistication of students, improvements in collaborative teaming, increased access to general curriculum for students, and improvement in school personnel skill-level. Implications of the results of this study and areas for future research are discussed.
Dielectric properties measurements of brown and white adipose tissue in rats from 0.5 to 10 GHz

Brown adipose tissue (BAT) plays an important role in whole body metabolism and with appropriate stimulus could potentially mediate weight gain and insulin sensitivity. Although imaging techniques are available to detect subsurface BAT, there are currently no viable methods for continuous acquisition of BAT energy expenditure. Microwave (MW) radiometry is an emerging technology that allows the quantification of tissue temperature variations at depths of several centimeters. Such temperature differentials may be correlated with variations in metabolic rate, thus providing a quantitative approach to monitor BAT metabolism. In order to optimize MW radiometry, numerical and experimental phantoms with accurate dielectric properties are required to develop and calibrate radiometric sensors. Thus, we present for the first time, the characterization of relative permittivity and electrical conductivity of brown (BAT) and white (WAT) adipose tissues in rats across the MW range 0.5–10 GHz. Measurements were carried out in situ and post mortem in six female rats of approximately 200 g. A Cole–Cole model was used to fit the experimental data into a parametric model that describes the variation of dielectric properties as a function of frequency. Measurements confirm that the dielectric properties of BAT (εr = 14.0–19.4, σ = 0.3–3.3 S m−1) are significantly higher than those of WAT (εr = 9.1–11.9, σ = 0.1–1.9 S m−1), in accordance with the higher water content of BAT.
Safety and feasibility of uniportal video-assisted thoracoscopic surgery for locally advanced non-small cell lung cancer.

BACKGROUND Conventional video-assisted thoracoscopic surgery (VATS) lobectomy for locally advanced non-small cell lung cancer (NSCLC) is a feasible and safe surgery in high-volume centers with significant VATS experience. Uniportal VATS lobectomy has been recently been reported to be a promising, less invasive approach. The purpose of this study is to explore the safety and feasibility of uniportal video-assisted thoracoscopic surgery (U-VATS) for the treatment of patients with locally advanced NSCLC. METHODS From January 2013 to September 2015, a total of 132 patients with locally advanced NSCLC underwent U-VATS or open thoracotomy major pulmonary resections and standard mediastinal lymph node dissection. Patients were divided into two groups: (I) locally advanced NSCLC underwent U-VATS (U-VATS); (II) locally advanced NSCLC underwent open thoracotomy (open). A descriptive and retrospective study was performed, including the operative time, operative blood loss, postoperative chest tube duration, postoperative hospital stay, lymph node dissection, postoperative complications and postoperative recovery. RESULTS A total of 132 patients with locally advanced NSCLC were included in this study: 64 (U-VATS) vs. 68 (open) patients. The patient demographic data was similar in both groups. Median operative time (157.0 vs. 160.6) and median number of lymph nodes (35.5 vs. 32.5) were similar in both groups. Chest tube duration and hospital of stay were statistically shorter in U-VATS group while rate of complications were higher in open thoracotomy group. One patient died on the 55th postoperative day because of tumor metastasis and bronchopleural fistula. A higher percentage of patients who underwent UVATS resections were able to receive adjuvant therapy timely compared to the open group. CONCLUSIONS Uniportal VATS major pulmonary resections and mediastinal lymph node dissection is a safe and feasible procedure for the treatment of locally advanced NSCLC. Particularly it is suitable for the frail patients with locally advanced NSCLC who require comprehensive treatment.
In Vitro and In Vivo Antiangiogenic Properties of the Serpin Protease Nexin-1

ABSTRACT The serpin protease nexin-1 (PN-1) is expressed by vascular cells and secreted by platelets upon activation, and it is known to interact with several modulators of angiogenesis, such as proteases, matrix proteins, and glycosaminoglycans. We therefore investigated the impact of PN-1 on endothelial cell angiogenic responses in vitro and ex vivo and in vivo in PN-1-deficient mice. We found that PN-1 is antiangiogenic in vitro: it inhibited vascular endothelial growth factor (VEGF)-induced endothelial cell responses, including proliferation, migration, and capillary tube formation, and decreased cell spreading on vitronectin. These effects do not require the antiprotease activity of PN-1 but involve PN-1 binding to glycosaminoglycans. In addition, our results indicated that PN-1 does not act by blocking VEGF binding to its heparan sulfate proteoglycan coreceptors. The results obtained in vitro were supported ex vivo in PN-1-deficient mice, where the microvascular network sprouting from aortic rings was significantly enhanced. Moreover, in vivo, neovessel formation was promoted in the Matrigel plug assay in PN-1-deficient mice compared to wild-type mice, and these effects were reversed by the addition of recombinant PN-1. Taken together, our results demonstrate that PN-1 has direct antiangiogenic properties and is a yet-unrecognized player in the angiogenic balance.
Genetic regulators of myelopoiesis and leukemic signaling identified by gene profiling and linear modeling

Mechanisms controlling the balance between proliferation and self‐renewal versus growth suppression and differentiation during normal and leukemic myelopoiesis are not understood. We have used the bi‐potent FDB1 myeloid cell line model, which is responsive to myelopoietic cytokines and activated mutants of the granulocyte macrophage‐colony stimulating factor (GM‐CSF) receptor, having differential signaling and leukemogenic activity. This model is suited to large‐scale gene‐profiling, and we have used a factorial time‐course design to generate a substantial and powerful data set. Linear modeling was used to identify gene‐expression changes associated with continued proliferation, differentiation, or leukemic receptor signaling. We focused on the changing transcription factor profile, defined a set of novel genes with potential to regulate myeloid growth and differentiation, and demonstrated that the FDB1 cell line model is responsive to forced expression of oncogenes identified in this study. We also identified gene‐expression changes associated specifically with the leukemic GM‐CSF receptor mutant, V449E. Signaling from this receptor mutant down‐regulates CCAAT/enhancer‐binding protein α (C/EBPα) target genes and generates changes characteristic of a specific acute myeloid leukemia signature, defined previously by gene‐expression profiling and associated with C/EBPα mutations.
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)

One big challenge that hinders the transition of brain–computer interfaces (BCIs) from laboratory settings to real-life applications is the availability of high-performance and robust learning algorithms that can effectively handle individual differences, i.e., algorithms that can be applied to a new subject with zero or very little subject-specific calibration data. Transfer learning and domain adaptation have been extensively used for this purpose. However, most previous works focused on classification problems. This paper considers an important regression problem in BCI, namely, online driver drowsiness estimation from EEG signals. By integrating fuzzy sets with domain adaptation, we propose a novel online weighted adaptation regularization for regression (OwARR) algorithm to reduce the amount of subject-specific calibration data, and also a source domain selection (SDS) approach to save about half of the computational cost of OwARR. Using a simulated driving dataset with 15 subjects, we show that OwARR and OwARR-SDS can achieve significantly smaller estimation errors than several other approaches. We also provide comprehensive analyses on the robustness of OwARR and OwARR-SDS.
Non-Canonical Roles of Dengue Virus Non-Structural Proteins

The Flaviviridae family comprises a number of human pathogens, which, although sharing structural and functional features, cause diseases with very different outcomes. This can be explained by the plurality of functions exerted by the few proteins coded by viral genomes, with some of these functions shared among members of a same family, but others being unique for each virus species. These non-canonical functions probably have evolved independently and may serve as the base to the development of specific therapies for each of those diseases. Here it is discussed what is currently known about the non-canonical roles of dengue virus (DENV) non-structural proteins (NSPs), which may account for some of the effects specifically observed in DENV infection, but not in other members of the Flaviviridae family. This review explores how DENV NSPs contributes to the physiopathology of dengue, evasion from host immunity, metabolic changes, and redistribution of cellular components during infection.
Antiretroviral Tissue Kinetics: In Vivo Imaging Using Positron Emission Tomography

ABSTRACT Our current knowledge on the antiviral efficacy, dosing, and toxicity of available highly active antiretroviral therapy regimens is mostly derived from plasma or blood kinetics of anti-human immunodeficiency virus (anti-HIV) drugs. However, the blood comprises only 2% of the total target cells in the body. Tissue drug levels may differ substantially from corresponding plasma levels, and drug distribution processes may be characterized by high intertissue variability, leading to suboptimal target site concentrations and the potential risk for therapeutic failures. Positron emission tomography has greatly expanded the scope of the pharmacokinetic measurements that can be performed noninvasively in animal models or humans. We have prepared [18F]FPMPA, a fluorine-18-radiolabeled analogue of tenofovir, to study antiretroviral tissue kinetics in vivo noninvasively and tested the imaging probe in rats. The biodistribution of the fluorine-18 analogue closely follows that of nonfluorinated tenofovir. Compared to that in the blood, the levels of penetration of the antiretroviral drug were found to be significantly reduced in the spleen and submandibular lymph nodes (∼2-fold), in the mesenteric lymph nodes and the testes (∼4-fold), and in the brain compartment (∼25-fold). Intersubject variability of the trough drug concentration (measured at 120 min) in certain tissues, like the colon (coefficient of variation, >100%), is not reflected by the intersubject variability in the blood compartment (coefficient of variation, 24%). Positron emission tomography imaging of the fluorine-18 analogue revealed the accumulation of the antiretroviral drug in the cortex of the kidneys, a potential correlate of tenofovir-induced nephrotoxicity observed in HIV-1-infected treated patients. Thus, [18F]FPMPA is a promising radiotracer for evaluation of tenofovir biodistribution under carefully controlled drug administration protocols.