Miracle-dz/UniFAR-FTUs huggingface dataset:
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

There is an increasing need to bring machine learning to a wide diversity of hardware devices. Current frameworks rely on vendor-speciﬁc operator libraries and optimize for a narrow range of server-class GPUs. Deploying workloads to new platforms such as mobile phones, embedded devices, and accelerators (e.g., FPGAs, ASICs) requires signiﬁcant manual effort. We propose TVM, a compiler that exposes graph-level and operator-level optimizations to provide performance portability to deep learning workloads across diverse hardware back-ends. TVM solves optimization challenges speciﬁc to deep learning such as high-level operator fusion, mapping to arbitrary hardware primitives, and memory latency hiding. TVM also offers automated optimization of low-level programs to hardware characteristics by employing a novel learning-based cost modeling method for rapid exploration of code optimizations. Experimental results demonstrate that TVM delivers performance across hardware back-ends that are competitive with state-of-the-art hand tuned libraries for low-power CPU, mobile GPU, and server-class GPUs. We also demonstrate TVM’s ability to target new accelerator back-ends by targeting an FPGA-based generic deep learning accelerator. The system is open sourced and in production use inside several major companies.
Fracture micromechanics of static subcritical growth and coalescence of microcracks in sintered Fe–1·5Cr–0·2Mo–0·7C steel

Nucleation of microcracks, their growth and coalescence are analysed in powder metallurgy (PM). Fe–1·5Cr–0·2Mo–0·7C steel by fractography allied to surface replica microscopy – at several stress levels as the maximum tensile stress in three-point bend specimens was raised to 99·6% of the transverse rupture strength TRS of 1397 MPa. The fatigue limit in this material is ∼240 MPa, at which stress level no microcracks were detected in static loading. Numerous microcracks, ranging in size from <5 to ∼20 μm, however, were nucleated above ∼800 MPa, i.e. beyond the yield strength of ∼620 MPa. With increasing stress, some microcracks became dormant, whilst others grew subcritically, stress step-wise, to some 400 μm. Of particular importance are observations of the coalescence of two and three of such microcrack systems to produce a critical, propagating crack. The then estimated stress intensity factor K a, could reach K 1C, independently estimated to be ∼36 MPa m1/2. Microcrack coalescence was associated with easy paths for crack growth, principally prior particle boundaries linking pores. Ways of making subcritical crack growth more difficult and hence improving both static and dynamic mechanical properties, are considered.
Optimization of Priority based CPU Scheduling Algorithms to Minimize Starvation of Processes using an Efficiency Factor

The priority based CPU scheduling algorithm (i.e. Shortest Job First (SJF) or Priority Scheduling (PS)) is a kind of scheduling algorithm that assigns the CPU to processes based on the priority of each process. The shortcoming of both of these algorithms is starvation (i.e. starvation of processes with longer burst times in the case of SJF and starvation of processes with lower priorities in the case of PS). This paper proposes a new algorithm that introduces the concept of EFFICIENCY FACTOR to all processes. This proposed algorithm was implemented and benchmarked against SJF, PS and the Optimum Service Time Concept for Round Robin Algorithm (OSTRR) by [9] using Uniform distribution to generate the burst times, Exponential distribution to generate the priorities and Poisson distribution to generate the arrival times of processes. It is observed that in the SJF category, the traditional SJF produced better Average Waiting Time (AWT), Average Turnaround Time (ATAT), Average Response Time (ART) and Waiting Time Variance Deviation (WTVD) compared with the proposed SJF. But they both produced the same Number of Context Switches (NCS). The proposed SJF produced better
Mechanical properties and morphology of polyethylene-polypropylene blends with controlled thermal history

The effect of time–temperature treatment on the mechanical properties and morphology of polyethylene–polypropylene (PE–PP) blends was studied to establish a relationship among the thermal treatment, morphology, and mechanical properties. The experimental techniques used were polarized optical microscopy with hot-stage, scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and tensile testing. A PP homopolymer was used to blend with various PEs, including high-density polyethylene (HDPE), low-density polyethylene (LDPE), linear low-density polyethylene (LLDPE), and very low density polyethylene (VLDPE). All the blends were made at a ratio of PE:PP = 80:20. Thermal treatment was carried out at temperatures between the crystallization temperatures of PP and PEs to allow PP to crystallize first from the blends. A very diffuse PP spherulite morphology in the PE matrix was formed in partially miscible blends of LLDPE–PP even though PP was present at only 20% by mass. Droplet-matrix structures were developed in other blends with PP as dispersed domains in a continuous PE matrix. The SEM images displayed a fibrillar structure of PP spherulite in the LLDPE–PP blends and large droplets of PP in the HDPE–PP blend. The DSC results showed that the crystallinity of PP was increased in thermally treated samples. This special time–temperature treatment improved tensile properties for all PE–PP blends by improving the adhesion between PP and PE and increasing the overall crystallinity. In particular, in the LLDPE–PP blends, tensile properties were improved enormously because of a greater increase in the interfacial adhesion induced by the diffuse spherulite and fibrillar structure. © 2000 John Wiley & Sons, Inc. J Appl Polym Sci 76: 1151–1164, 2000
Homophily and competition: a model of group affiliation

How can we understand the interaction between the social network topology of a population and the patterns of group affiliation in that population? Each aspect influences the other: social networks provide the conduits via which groups recruit new members, and groups provide the context in which new social ties are formed. While many social simulation models exhibit group formation as a part of their behaviour (e.g., opinion clusters or converged cultures), models that explicitly focus on group affiliation are rare. We introduce one such model, based upon the ecological theory of group affiliation, and use it to explore the effect of two system properties—bias toward the creation of homophilous ties and competition between groups—on the dynamics of social evolution and group formation.
Image enhancement based on equal area dualistic sub-image histogram equalization method

Histogram equalization is a simple and effective image enhancing technique. But in some conditions, the luminance of an image may be changed significantly after the equalizing process, this is why it has never been utilized in a video system in the past. A novel histogram equalization technique, equal area dualistic sub-image histogram equalization, is put forward in this paper. First, the image is decomposed into two equal area sub-images based on its original probability density function. Then the two sub-images are equalized respectively. Finally, we obtain the results after the processed sub-images are composed into one image. The simulation results indicate that the algorithm can not only enhance the image information effectively but also preserve the original image luminance well enough to make it possible to be used in a video system directly.
Assessment of seven reconstruction methods for contemporary compressive sensing

In order to acquire signal data without any loss, according to Nyquist rate theorem, the sampling rate must be equal to or more than twice the bandwidth. However, this will result in occupying more memory space and consume more active power at higher sampling rates, which are not suitable for Internet of Things (IoT) applications that have stringent memory and power constraints. Compressive Sensing or Sampling (CS) is a compressing technique that can be used to capture the data at significantly lower rate. This paper presents the simulation results of many contemporary research work on CS for ECG signals. Two CS methods have been studied: pre-processing then compression and under-sampling. Additionally, seven common reconstruction algorithms have been addressed. The simulation results of these CS reconstruction techniques are presented in addition to many metrics that were used to evaluate the performance and quality of reconstruction.
Fracture and Fatigue-Crack-Propagation Characteristics of 1/4-Inch Mill-Annealed Ti-6Al-4V Titanium Alloy Plate

Abstract : The fracture and fatigue-crack-propagation behavior of central through-the-thickness cracks has been evaluated in 1/4-inch-thick mill-annealed titanium alloy plate. The influence of crack aspect ratio on the fracture or residual strength of three panel widths has been determined. The fatigue-crack- propagation rates for various maximum stresses, stress ratios, and panel widths have been evaluated. It was observed that elastic fractures in the presence of central through-cracks do not occur in panels of this material less than 18 inches wide. Uniform and regular fatigue-crack-propagation behavior is noted. A fatigue-crack-propagation threshold is evident below 3 or 4 ksi/sq in. Power law modeling of rate data, crack life prediction, and interpretive discussions were also considered.
Hit Identification of a Novel Dual Binder for h‐telo/c‐myc G‐Quadruplex by a Combination of Pharmacophore Structure‐Based Virtual Screening and Docking Refinement

It is well known that G‐quadruplexes are targets of great interest for their roles in crucial biological processes, such as aging and cancer. Hence, a promising strategy for anticancer drug therapy is the stabilization of these structures by small molecules. We report a high‐throughput in silico screening of commercial libraries from several different vendors by means of a combined structure‐based pharmacophore model approach followed by docking simulations. The compounds selected by the virtual screening procedure were then tested for their ability to interact with human telomeric G‐quadruplex folding by circular dichroism, fluorescence spectroscopy, and fluorescence intercalator displacement. Our approach resulted in the identification of a 13‐[(dimethylamino)methyl]‐12‐hydroxy‐8H‐benzo[c]indolo[3,2,1‐ij][1,5]naphthyridin‐8‐one derivative as a novel promising stabilizer of G‐quadruplex structures within the human telomeric and the c‐myc promoter sequences.
Patents as Collateral

This paper studies how the assignment of patents as collateral determines the savings of firms and magnifies the effect of innovative rents on investment in research and development (R&D). We analyse the behaviour of innovative firms that face random and lumpy investment opportunities in R&D. High growth rates of innovations, possibly higher than the real rate of interest, may be achieved despite financial constraints. There is an optimal level of publicly funded policy by the patent and trademark office that minimizes the legal uncertainty surrounding patents as collateral and maximizes the growth rate of innovations.
Methylprednisolone acts on peripheral blood mononuclear cells and endothelium in inhibiting migration phenomena in patients with multiple sclerosis.

BACKGROUND Intravenous methylprednisolone hemisuccinate is administered to patients with multiple sclerosis (MS) during exacerbations to improve the rate of recovery. Corticosteroids could be beneficial in MS exacerbations also by decreasing transmigration of peripheral blood mononuclear cells (PBMNCs) through the blood-brain barrier. OBJECTIVES To evaluate how in vivo intravenous methylprednisolone treatment in patients with MS could influence transmigration of PBMNCs in an in vitro model; to perform transmigration experiments through a methylprednisolone-treated endothelium with PBMNCs from untreated healthy control subjects to evaluate putative selective effects of corticosteroids on endothelium; concomitantly, to quantify the concentration of matrix metalloproteinases 2 and 9 in supernatants of PBMNCs and in serum samples from methylprednisolone-treated patients with MS; to evaluate monokine induced by interferon-gamma release in the supernatants of human umbilical vein endothelial cells treated with interferon-gamma alone or interferon-gamma and methylprednisolone; and to perform gene expression studies of matrix metalloproteinases 2 and 9 in human umbilical vein endothelial cells and PBMNCs from methylprednisolone-treated patients with MS. PATIENTS Eight patients with MS in exacerbation were studied before and 3 and 24 hours after intravenous methylprednisolone treatment, 1 g. RESULTS The absolute number of transmigrated PBMNCs from methylprednisolone-treated patients with MS significantly (P<.01) decreased at 3 hours and increased again at 24 hours, reaching values higher than those before treatment onset. Methylprednisolone was also able to significantly (P<.03) reduce the number of PBMNCs from healthy controls migrating through interferon-gamma-stimulated or unstimulated endothelium. In vitro methylprednisolone treatment decreased monokine induced by interferon-gamma production in human umbilical vein endothelial cells. CONCLUSIONS Methylprednisolone may be able to decrease transmigration of PBMNCs through the blood-brain barrier, exerting its inhibitory effects on PBMNCs and endothelium. A "rebound" of transmigration at 24 hours suggests that a single infusion is not optimal for achieving a persistent reduction in transmigration.
The Association in Elderly Hospitalized Patients, Between Psychotropic Drugs and Hip Fractures Resulting from Falls

Background/Study Context: Psychotropic drug treatment has been associated with increased risk for falls and hip fractures in elderly patients. The authors examined the association between drug treatment and hip fractures resulting from falls in elderly hospitalized patients, focusing on the medications’ anticholinergic properties. Methods: This retrospective case-control study was conducted in an acute geriatric ward in a general medical center. Medical records, including demographic, clinical, biochemical, and pharmacological variables, of elderly patients with hip fractures from falls (N = 185), admitted during a 2-year period, were reviewed and compared with a control group (N = 187) of patients matched for age and gender and without hip fractures. Results: The usage rates of antipsychotics, antidepressants, mood stabilizers, and various nonpsychiatric medications were similar in the two groups, except for hypnotics-anxiolytics (higher rates in hip-fracture patients). The Cumulative Illness Rating Scale for Geriatrics (CIRS-G) and diastolic blood pressure constituted very modest predictors of falls (R2 = .038, p = .004). There were no significant differences in the anticholinergic burden values, clinical dementia ratings, and comorbidity burden between the two groups. Conclusion: The rate of psychotropic drug use in general and their anticholinergic burden are similar in acutely admitted elderly patients with or without hip fractures. However, higher usage rate of anxiolytics found in the patients with hip fractures may indicate that this is a risk factor for hip fractures related to falls in elderly patients living in the community.
Immunocytochemical localization of ProANF 1-30, ProANF 31-67, atrial natriuretic factor and urodilatin in the human kidney.

Whether ProANF 1-30 [first 30 amino acids (a.a.) of the 126-a.a. atrial natriuretic factor (ANF) prohormone] and ProANF 31-67 (a.a. 31-67 of this prohormone) with their natriuretic and diuretic properties are present within the human kidney is unknown. In the present investigation, ProANFs 1-30 and 31-67 as well as ANF (a.a. 99-126) of the ANF prohormone localized to the subbrush border of the pars convoluta and pars recta of the proximal tubules of the human kidney with immunoperoxidase staining. Immunofluorescent studies revealed that each of these peptides had a strong inclination for the perinuclear region in the proximal and distal tubules. ProANFs 1-30, 31-67 and 99-126 (i.e. ANF) also localized with both immunoperoxidase and immunofluorescent staining to the coritcal collecting ducts, glomeruli, and peritubular and interstitial blood vessels. ANF immunoperoxidase staining was particularly striking in the endothelium of interstitial arteries and vasa recta. In the glomeruli, prominent staining was noted in the peripheral glomerular capillary wall and in some of the visceral epithelial cells. In contrast, urodilatin (i.e. a.a. 95-126 of the ANF prohormone) was not found in the proximal tubules, but weak staining was found in the distal tubules and interstitial vessels with some but not all glomeruli, peritubular vessels, cortical collecting tubules and outer medullary nephrons weakly staining by immunoperoxidase and immunofluorescent methods. The whole prohormone being present in the kidney was suggested by immunological recognition of both the N- and C-termini of the ANF prohormone by radioimmunoassays. (ABSTRACT TRUNCATED AT 250 WORDS)
Bridging WebML to model-driven engineering: from document type definitions to meta object facility

Meta-models are a prerequisite for model-driven engineering (MDE) in general and consequently for model-driven web engineering in particular. Various web modelling languages, however, are not based on meta-models and standards, like object management group's prominent meta object facility (MOF). Instead they define proprietary languages rather focused on notational aspects. Thus, MDE techniques and tools cannot be deployed for such languages preventing to exploit the full potential of MDE in terms of standardised storage, exchange and transformation of models. The WebML web modelling language is one example that does not yet rely on an explicit meta-model in the sense of MDE. Instead, it is defined in terms of a document type definition (DTD), and implicitly within the accompanying tool. Code generation then has to rely on model-to-code transformations based of extensible stylesheet language transformations (XSLT). We propose a meta-model for WebML to bridge WebML to MDE. To establish such a meta-model, instead of remodelling WebML's meta-model from scratch, a semi-automatic approach is provided that allows generating MOF-based meta-models on the basis of DTDs. The meta-model for WebML accomplishes the following aims: first, it represents an initial step towards a transition to employ MDE techniques within the WebML design methodology. Second, the provision of a MOF-based meta-model ensures interoperability with other MDE tools. Third, it represents an important step towards a common meta-model for Web modelling in future.
Mechanisms Responsible for the Enhanced Antinociceptive Effects of μ-Opioid Receptor Agonists in the Rostral Ventromedial Medulla of Male Rats with Persistent Inflammatory Pain

This study investigated three possible mechanisms by which the antinociceptive effects of the μ-opioid receptor (MOR) agonist [d-Ala2,N-Me-Phe4,Gly5-ol]-enkephalin (DAMGO) and the δ-opioid receptor (DOR) agonist [d-Ala2,Glu4]-deltorphin (deltorphin II) (DELT), microinjected into the rostral ventromedial medulla (RVM), are enhanced in rats with persistent inflammatory injury. Radioligand binding determined that neither the Bmax nor the Kd values of [3H]DAMGO differed in RVM membranes from rats that received an intraplantar injection of saline or complete Freund's adjuvant (CFA) in one hindpaw 4 h, 4 days, or 2 weeks earlier. Likewise, neither the EC50 nor the Emax value for DAMGO-induced stimulation of guanosine 5′-O-(3-[35S]thio)triphosphate ([35S]GTPγS) binding differed in the RVM of saline- or CFA-treated rats at any time point. Microinjection of fixed dose combinations of DAMGO and DELT in the RVM of naive rats indicated that these agonists interact synergistically to produce antinociception when DAMGO is present in equal or greater amounts than DELT and, additively, when DELT is the predominant component. Thus, unlike the periphery or spinal cord, potentiation of MOR-mediated antinociception does not entail an increase in MOR number, affinity, or coupling. Rather, the data are concordant with our proposal that potentiation results from a synergistic interaction of exogenous MOR agonist with DOR-preferring enkephalins whose levels are increased in CFA-treated rats (J Neurosci 21:2536–2545, 2001). Virtually no specific [3H]DELT binding nor stimulation of [35S]GTPγS binding by DELT was obtained in RVM membranes from CFA- or saline-treated rats at any time point. The mechanisms responsible for the potentiation of DELT-mediated antinociception remain to be elucidated.
Secondary memory CD8+ T cells are more protective but slower to acquire a central–memory phenotype

The formation of memory CD8 T cells is an important goal of vaccination. However, although widespread use of booster immunizations in humans generates secondary and tertiary CD8 T cell memory, experimental data are limited to primary CD8 T cell memory. Here, we show that, compared with primary memory CD8 T cells, secondary memory CD8 T cells exhibit substantially delayed conversion to a central–memory phenotype, as determined by CD62L expression and interleukin (IL)-2 production. This delayed conversion to a central–memory phenotype correlates with reduced basal proliferation and responsiveness to IL-15, although in vitro coculture with a high concentration of IL-15 is capable of inducing proliferation and CD62L upregulation. Functionally, secondary memory CD8 T cells are more protective in vivo on a per cell basis, and this may be explained by sustained lytic ability. Additionally, secondary memory CD8 T cells are more permissive than primary memory CD8 T cells for new T cell priming in lymph nodes, possibly suggesting a mechanism of replacement for memory T cells. Thus, primary and secondary memory CD8 T cells are functionally distinct, and the number of encounters with antigen influences memory CD8 T cell function.
Fibroblast growth factor receptor (FGFR) alterations in squamous differentiated bladder cancer: a putative therapeutic target for a small subgroup

Although drugable fibroblast growth factor receptor (FGFR) alterations in squamous cell carcinomas (SCC) of various entities are well known, little is known about FGFR modifications in squamous differentiated bladder cancer. Therefore, our study evaluated FGFR1-3 alterations as a putative therapeutic target in this subgroup. We analyzed 73 squamous differentiated bladder cancers (n = 10 pT2, n = 55 pT3, n = 8 pT4) for FGFR1-3 protein expression, FGFR1-3 copy number variations, FGFR3 chromosomal rearrangements (fluorescence in situ hybridization (FISH)) and FGFR3 mutations (SNapShot analysis). Only single cases displayed enhanced protein expression, most frequently FGFR3 overexpression (9.4% (6/64)). FISH showed no amplifications of FGFR1, 2 or 3. Break apart events were only slightly above the cut off in 12.1% (8/66) of cases and no FGFR3-TACC3 rearrangements could be proven by qPCR. FGFR3 mutations (p.S249C) were found in 8.5% (6/71) of tumors and were significantly associated with FGFR3 protein overexpression (p < 0.001), and unfavourable clinical outcome (p = 0.001). Our findings are consistent with the results of the TCGA data set for the “squamous-like” subtype of bladder cancer (n = 85), which revealed reduced overall expression of FGFR1 and FGFR2 in tumors compared to normal tissue, while expression of FGFR3 remained high. In the TCGA “squamous-like” subtype FGFR3 mutations were found in 4.9% and correlated with high FGFR3 RNA expression. Mutations of FGFR1 and FGFR2 were less frequent (2.4% and 1.2%). Hence, our comprehensive study provides novel insights into a subgroup of squamous differentiated bladder tumors that hold clues for novel therapeutic regimens and may benefit from FGFR3-targeted therapies.