Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy harvesting-based two-hop D2D communication in cellular networks

Powering device-to-device (D2D) communications by the radio frequency (RF) energy, harvested from the ambient interference of the underlaid cellular network, improves the energy efficiency of the network. In the recent works, the D2D transmitters can successfully communicate with their intended receivers only when there is sufficient harvested energy to transmit over the desired distance. In this paper, we propose a method to improve the network performance by allowing the D2D users to use multiple hops when harvested energy is insufficient for a direct communication. We evaluate the performance of the system in terms of the signal to interference plus noise ratio (SINR) outage probability at a D2D receiver and the transmission probability of a D2D user. The numerical analysis shows that the two-hop D2D communication outperforms the direct D2D communication.
Reduced density of functional 5‐HT1A receptors in the brain, medulla and spinal cord of monoamine oxidase‐A knockout mouse neonates

Abnormally high brain 5‐HT levels in monoamine oxidase‐A knockout (MAO‐A KO) mouse neonates raise the question of whether the distribution and density of the 5‐HT1A receptors (5‐HT1AR) expressed in the brain by postnatal day P7 are affected and, if so, whether the 5‐HT1A autoreceptors in the dorsal raphe are modified in the same way as the postsynaptic 5‐HT1AR present in raphe target structures. [3H]8‐OH‐DPAT binding and quantitative autoradiography were performed to answer these questions. Binding specificity was first confirmed in adult wild‐type mice and rat brain sections. 5‐HT1AR binding was then analyzed in four MAO‐A mutant vs. five wild‐type neonatal brains, from olfactory bulb to cervical cord. Among 12 structures expressing postsynaptic 5‐HT1AR in wild‐type neonates, the highest densities involved the retrosplenial cortex, entorhinal cortex, and septum (52–46 fmol/mg tissue); low densities occurred in the hippocampus and spinal cord (24 fmol/mg tissue); in addition, the raphe autoreceptor density was only 20 fmol/mg tissue. In mutants, the distribution of postsynaptic 5‐HT1AR was unchanged, but an overall decrease in density occurred (–32% to –63%); the raphe autoreceptors decreased in mutants by at least –79%. Data are discussed with reference to the ectopic 5‐HT uptake and accumulation reported to occur during the first 10 postnatal days in wild‐type and MAO‐A KO mice. As previously suggested to explain the raphe autoreceptor loss in 2‐month‐old MAO‐A KO mice, the overall 5‐HT1AR down‐regulation in mutant pups probably results from extracellular 5‐HT excess in both raphe and target structures. The greater the 5‐HT excess, the more the functional receptor density decreases. J. Comp. Neurol. 495:607–623, 2006. © 2006 Wiley‐Liss, Inc.
HLH‐2004: Diagnostic and therapeutic guidelines for hemophagocytic lymphohistiocytosis

In HLH‐94, the first prospective international treatment study for hemophagocytic lymphohistiocytosis (HLH), diagnosis was based on five criteria (fever, splenomegaly, bicytopenia, hypertriglyceridemia and/or hypofibrinogenemia, and hemophagocytosis). In HLH‐2004 three additional criteria are introduced; low/absent NK‐cell‐activity, hyperferritinemia, and high‐soluble interleukin‐2‐receptor levels. Altogether five of these eight criteria must be fulfilled, unless family history or molecular diagnosis is consistent with HLH. HLH‐2004 chemo‐immunotherapy includes etoposide, dexamethasone, cyclosporine A upfront and, in selected patients, intrathecal therapy with methotrexate and corticosteroids. Subsequent hematopoietic stem cell transplantation (HSCT) is recommended for patients with familial disease or molecular diagnosis, and patients with severe and persistent, or reactivated, disease. In order to hopefully further improve diagnosis, therapy and biological understanding, participation in HLH studies is encouraged. Pediatr Blood Cancer 2007;48:124–131. © 2006 Wiley‐Liss, Inc.
Three patients treated with daclatasvir and asunaprevir for recurrent hepatitis C after liver transplantation: Case report

We previously reported our data on telaprevir or simeprevir used in combination with pegylated interferon (PEG IFN) and ribavirin (RBV) for the treatment of recurrent hepatitis C virus (HCV) genotype 1 infection after liver transplantation (LT). Here, we report three patients who achieved viral responses with no effect on the blood concentrations of immunosuppressive agents following daclatasvir and asunaprevir treatment. The first patient was a 57‐year‐old man with HCV‐related liver cirrhosis who failed to respond to PEG IFN/RBV after living donor LT. He had been treated with 1 mg/day of tacrolimus. The second was a 63‐year‐old man with HCV‐related liver cirrhosis and hepatocellular carcinoma who failed to respond to PEG IFN/RBV after living donor LT. He had been treated with 1 mg/day of tacrolimus. The third was a 61‐year‐old man with HCV‐related liver cirrhosis. He had been treated with mycophenolate mofetil (MMF). Serum HCV RNA became undetectable by TaqMan polymerase chain reaction test after 4 weeks of daclatasvir and asunaprevir treatment in all patients, and no remarkable fluctuations in blood concentration were observed either in tacrolimus or in MMF during 24 weeks of therapy. No adverse events were observed, and all patients received the full dose of daclatasvir and asunaprevir over 24 weeks. Serum HCV RNA remained negative at 12 weeks after the end of treatment in all patients. The daclatasvir and asunaprevir treatment showed a remarkable viral response with little effect on blood levels of immunosuppressive agents for recurrent HCV genotype 1 infection after LT.
Cache issues with JPEG2000 wavelet lifting

In this paper, we have a close look at the runtime performance of the intra-component transform employed in the reference implementations of the JPEG2000 image coding standard. Typically, wavelet lifting is used to obtain a wavelet decomposition of the source image in a computationally efficient way. However, so far no attention has been paid to the impact of the CPU's memory cache on the overall performance. We propose two simple techniques that dramatically reduce the number of cache misses and cut column filtering runtime by a factor of 10. Theoretical estimates as well as experimental results on a number of hardware platforms show the effectivity of our approach.
Physical Words for Place Recognition in Dense RGB-D Maps

Appearance-based place recognition systems have been shown to be effective for large-scale mapping but have notable shortcomings. Visual bag-of-words dictionaries require offline training, have tens of thousands of words, and are susceptible to changing environments, either due to lighting or physical changes, between training and deployment. Recent advances allow for online 3D mapping and segmentation using dense RGB-D data. Here we propose the natural extension of previous visual dictionaries to the 3D world through the use of physical words that are used to perform place recognition. The main advantages of this approach is generating and detecting physical words is invariant to aspect and lighting changes, and require less words in our physical dictionary to recognize scenes. We demonstrate this concept on multiple real world datasets under extreme lighting variations and camera trajectories that typical appearance-based approaches have difficulty with.
A hybrid generative/discriminative method for EEG evoked potential detection

We propose a new method for the detection of evoked potentials that combines a generative model and a discriminative classifier. The method is a variant of the support vector machine (SVM), which uses the Fisher kernel. The kernel function is derived from a generative statistical model known as mixed effects model (MEM). Instead of arbitrarily selecting the Gaussian kernel for the SVM, we exploit the Fisher kernel derived from the MEM for the SVM. The strength of this approach is that it combines the rich information encoded in the generative model, the MEM, with the discriminative power of the SVM algorithm. Our results show that the new method of combining the two complementary approaches - the generative model (MEM) and the discriminative model (SVM) via the Fisher kernel - achieves substantial improvement over the generative model (MEM) and provides better performance than the discriminative model (Gaussian kernel SVM) on the detection of evoked potentials in neural signals.
Design and Development of an Image Classification and Recognition System for CubeSat Constellation

The major problems with stored images in large image database are retrieval of precisely, clear images and semantic gap. Proposed methodology approach, author will arrange, classify and categorize image into database in order to solve identified problem of retrieval and semantic gap. This proposal in progress is to solve this underlying problem of semantic gap for large images databases for small satellite database (such as CubeSats constellation) and look as well effective efficiency algorithm to improve existing methods. This paper proposes a solution based on image classification and recognition methods (such k-nearest classification and support vector machine methods) to solve this underlying semantic gap problem.
Interconversion of metaphase and interphase microtubule arrays, as studied by the injection of centrosomes and nuclei into Xenopus eggs

We have designed experiments that distinguish centrosomal , nuclear, and cytoplasmic contributions to the assembly of the mitotic spindle. Mammalian centrosomes acting as microtubule-organizing centers were assayed by injection into Xenopus eggs either in a metaphase or an interphase state. Injection of partially purified centrosomes into interphase eggs induced the formation of extensive asters. Although centrosomes injected into unactivated eggs (metaphase) did not form asters, inhibition of centrosomes is not irreversible in metaphase cytoplasm: subsequent activation caused aster formation. When cytoskeletons containing nuclei and centrosomes were injected into the metaphase cytoplasm, they produced spindle-like structures with clearly defined poles. Electron microscopy revealed centrioles with nucleated microtubules. However, injection of nuclei prepared from karyoplasts that were devoid of centrosomes produced anastral microtubule arrays around condensing chromatin. Co-injection of karyoplast nuclei with centrosomes reconstituted the formation of spindle-like structures with well-defined poles. We conclude from these experiments that in mitosis, the centrosome acts as a microtubule-organizing center only in the proximity of the nucleus or chromatin, whereas in interphase it functions independently. The general implications of these results for the interconversion of metaphase and interphase microtubule arrays in all cells are discussed.
Financial Valuation and Risk Management Working Paper No . 622 Optimal Stopping Problems for Some Markov Processes

In this paper, we solve explicitly the optimal stopping problem with random discounting and an additive functional as cost of observations for a regular linear diffusion. We also extend the results to the class of one-sided regular Feller processes. This generalizes the result of Beibel and Lerche [4, 5] and Paulsen [12]. Our approach relies on a combination of techniques borrowed from potential theory and stochastic calculus. We illustrate our results by detailing some new examples ranging from linear diffusions to Markov processes of the spectrally negative type.
Psychological impact of genetic testing for hereditary nonpolyposis colorectal cancer.

PURPOSE This study examines the impact of hereditary nonpolyposis colorectal cancer (HNPCC) genetic test results on psychological outcomes among cancer-affected and -unaffected participants up to 1 year after results disclosure. PATIENTS AND METHODS A total of 155 persons completed study measures before HNPCC genetic testing, and at 2 weeks and 6 and 12 months after disclosure of test results. RESULTS Mean scores on all outcome measures remained stable and within normal limits for cancer-affected participants, regardless of mutation status. Among unaffected carriers of HNPCC-predisposing mutations, mean depression, state anxiety, and cancer worries scores increased from baseline to 2 weeks postdisclosure and decreased from 2 weeks to 6 months postdisclosure. Among unaffected noncarriers, mean depression and anxiety scores did not differ, but cancer worries scores decreased during the same time period. Affected and unaffected carriers had higher mean test-specific distress scores at 2 weeks postdisclosure compared with noncarriers in their respective groups; scores decreased for affected carriers and all unaffected participants from 2 weeks to 12 months postdisclosure. Classification of participants into high- versus low-distress clusters using mean scores on baseline psychological measures predicted significantly higher or lower follow-up scores, respectively, on depression, state anxiety, quality of life, and test-specific distress measures, regardless of mutation status. CONCLUSION Although HNPCC genetic testing does not result in long-term adverse psychological outcomes, unaffected mutation carriers may experience increased distress during the immediate postdisclosure time period. Furthermore, those with higher levels of baseline mood disturbance, lower quality of life, and lower social support may be at risk for both short- and long-term increased distress.
Operational Semantics for Secure Interoperation

Modern software systems are commonly programmed in multiple languages. Research into the security and correctness of such multi-language programs has generally relied on static methods that check both the individual components as well as the interoperation between them. In practice, however, components are sometimes linked in at run-time through malicious means. In this paper we introduce a technique to specify operational semantics that securely combine an abstraction-rich language with a model of an arbitrary attacker, without relying on any static checks. The resulting operational semantics, instead, lifts a proven memory isolation mechanism into the resulting multi-language system. We establish the security benefits of our technique by proving that the obtained multi-language system preserves and reflects the equivalences of the abstraction-rich language. To that end a notion of bisimilarity for this new type of multi-language system is developed.
Gene-oriented ortholog database: a functional comparison platform for orthologous loci

The accumulation of complete genomic sequences enhances the need for functional annotation. Associating existing functional annotation of orthologs can speed up the annotation process and even examine the existing annotation. However, current protein sequence-based ortholog databases provide ambiguous and incomplete orthology in eukaryotes. It is because that isoforms, derived by alternative splicing (AS), often share higher sequence similarity to interfere the sequence-based identification. Gene-Oriented Ortholog Database (GOOD) employs genomic locations of transcripts to cluster AS-derived isoforms prior to ortholog delineation to eliminate the interference from AS. From the gene-oriented presentation, isoforms can be clearly associated to their genes to provide comprehensive ortholog information and further be discriminated from paralogs. Aside from, displaying clusters of isoforms between orthologous genes can present the evolution variation at the transcription level. Based on orthology, GOOD additionally comprises functional annotation from the Gene Ontology (GO) database. However, there exist redundant annotations, both parent and child terms assigned to the same gene, in the GO database. It is difficult to precisely draw the numerical comparison of term counts between orthologous genes annotated with redundant terms. Instead of the description only, GOOD further provides the GO graphs to reveal hierarchical-like relationships among divergent functionalities. Therefore, the redundancy of GO terms can be examined, and the context among compared terms is more comprehensive. In sum, GOOD can improve the interpretation in the molecular function from experiments in the model organism and provide clear comparative genomic annotation across organisms. Database URL: http://goods.ibms. sinica.edu. tw/goods/
Understanding User Migration Patterns in Social Media

The incredible growth of the social web over the last decade has ushered in a flurry of new social media sites. On one hand, users have an inordinate number of choices; on the other hand, users are constrained by limited time and resources and have to choose sites in order to remain social and active. Hence, dynamic social media entails user migration, a well studied phenomenon in fields such as sociology and psychology. Users are valuable assets for social media sites as they help contribute to the growth of a site and generate revenue by increased traffic. We are intrigued to know if social media user migration can be studied, and what migration patterns are. In particular, we investigate whether people migrate, and if they do, how they migrate. We formalize site and attention migration to help identify the migration between popular social media sites and determine clear patterns of migration between sites. This work suggests a feasible way to study migration patterns in social media. The discovered patterns can help understand social media sites and gauge their popularity to improve business intelligence and revenue generation through the retention of users.
Handgun Carrying Among Youth in the United States

Despite a wealth of research finding that adolescents who carry handguns are involved in risky behaviors, there has been little exploration into the heterogeneity of this behavior. Using a pooled sample of 12- to 17-year-olds from the National Study on Drug Use and Health who report past-year handgun carrying (N = 7,872), this study identified four subgroups of handgun carriers: low risk (n = 3,831; 47.93%), alcohol and marijuana users (n = 1,591; 20.16%), fighters (n = 1,430; 19.40%), and severe externalizers (n = 1,020, 12.51%). These subgroups differed on demographic, behavioral, and psychosocial characteristics. Findings are discussed in light of prevention and focused deterrence.
Experimental Cancer Cachexia Changes Neuron Numbers and Peptide Levels in the Intestine: Partial Protective Effects after Dietary Supplementation with L-Glutamine

Gastrointestinal dysmotility frequently occurs in cancer cachexia and may result from damage to enteric innervation caused by oxidative stress, especially due to glutathione depletion. We assessed the effect of dietary supplementation with 20 g/kg l-glutamine (a glutathione precursor) on the intrinsic innervation of the enteric nervous system in healthy and Walker 256 tumor-bearing Wistar rats during the development of experimental cachexia (14 days), in comparison with non-supplemented rats, by using immunohistochemical methods and Western blotting. The total neural population and cholinergic subpopulation densities in the myenteric plexus, as well as the total population and VIPergic subpopulation in the submucosal plexus of the jejunum and ileum, were reduced in cachectic rats, resulting in adaptive morphometric alterations and an increase in vasoactive intestinal peptide (VIP) and calcitonin gene-related peptide (CGRP) expression, suggesting a neuroplastic response. l-glutamine supplementation prevented decrease in myenteric neuronal density in the ileum, morphometric alterations in the neurons and nerve fibers (in both the plexuses of the jejunum and ileum), and the overexpression of VIP and CGRP. Cancer cachexia severely affected the intrinsic innervation of the jejunum and ileum to various degrees and this injury seems to be associated with adaptive neural plasticity. l-glutamine supplementation presented partial protective effects on the enteric innervation against cancer cachexia, possibly by attenuating oxidative stress.
Characterization of Virus-Responsive Plasmacytoid Dendritic Cells in the Rhesus Macaque

ABSTRACT Plasmacytoid dendritic cells (PDC) are potent producers of alpha interferon (IFN-α) in response to enveloped viruses and provide a critical link between the innate and adaptive immune responses. Although the loss of peripheral blood PDC function and numbers has been linked to human immunodeficiency virus (HIV) progression in humans, a suitable animal model is needed to study the effects of immunodeficiency virus infection on PDC function. The rhesus macaque SIV model closely mimics human HIV infection, and recent studies have identified macaque PDC, potentially making the macaque a good model to study PDC regulation. In this study, we demonstrate that peripheral blood PDC from healthy macaques are both phenotypically and functionally similar to human PDC and that reagents used for human studies can be used to study macaque PDC. Both human and macaque PBMC expressed IFN-α in response to herpes simplex virus (HSV), the prototypical activator of PDC, as measured by using an IFN bioassay and IFN-α-specific enzyme-linked immunospot assays. Similar to human PDC, macaque PDC were identified by using flow cytometry as CD123+ HLA-DR+ lineage− cells. In addition, like human PDC, macaque PDC expressed intracellular IFN-α, tumor necrosis factor alpha, macrophage inflammatory protein 1β/CCL4, and IFN-inducible protein 10/CXCL10 upon stimulation with HSV, all as determined by intracellular flow cytometry. We found that IFN regulatory factor 7, which is required for the expression of IFN-α genes, was, similar to human PDC, expressed at high levels in macaque PDC compared to monocytes and CD8+ T cells. These findings establish the phenotypic and functional similarity of human and macaque PDC and confirm the utility of tools developed for studying human PDC in this animal model.
Oral renin inhibitors in clinical practice: a perspective review

Hypertension is an important risk factor for cardiovascular morbidity and mortality. The importance of the renin–angiotensin–aldosterone system (RAAS) in cardiovascular and renal diseases has long been recognized: for this reason the conventional therapies, such as angiotensin-converting enzyme (ACE) inhibitors and angiotensin receptor blockers (ARBs), β-blockers, and aldosterone antagonists represent the backbone of current antihypertensive therapy. Aliskiren is the first direct renin inhibitor (DRI) suitable for oral administration. By achieving more complete renin–angiotensin system inhibition, direct renin inhibitors may afford greater protection from hypertensive complications. Present evidence indicates that aliskiren reduces baseline systolic and diastolic blood pressure greater than placebo and that it is as effective as other first-line antihypertensive agents. Extra advantages can be reached when it is used in combination therapy. Clinical trials and in vitro studies also suggest that aliskiren has several cardioprotective and renoprotective effects. Therapy with aliskiren is well tolerated, but recently some concerns have arisen because of the early termination of the ALTITUDE study due to an increased incidence of adverse effects.