Miracle-dz/UniFAR-FTUs huggingface dataset:
Harnessing neuroplasticity: modern approaches and clinical future

ABSTRACT Background and purpose: Neurological diseases and injuries to the nervous system may cause inadvertent damage to neuronal and synaptic structures. Such phenomenon would lead to the development of neurological and neurodegenerative disorders which might affect memory, cognition and motoric functions. The body has various negative feedback systems which can induce beneficial neuroplastic changes in mediating some neuronal damage; however, such efforts are often not enough to ameliorate the derogatory changes. Materials and methods: Articles discussing studies to induce beneficial neuroplastic changes were retrieved from the databases, National Center for Biotechnology Information (NCBI) and MEDLINE, and reviewed. Results: This review highlights the significance of neuroplasticity in restoring neuronal functions and current advances in research to employ this positive cellular event by inducing synaptogenesis, neurogenesis, clearance of toxic amyloid beta (Aβ) and tau protein aggregates, or by providing neuroprotection. Compounds ranging from natural products (e.g. bilobalides, curcumin) to novel vaccines (e.g. AADvac1, RG7345) have been reported to induce long-lasting neuroplasticity in vitro and in vitro. Activity-dependent neuroplasticity is also inducible by regimens of exercises and therapies with instances in human studies proving major successes. Lastly, mechanical stimulation of brain regions through therapeutic hypothermia or deep brain stimulation has given insight on the larger scale of neuroplasticity within the nervous system. Conclusion: Harnessing neuroplasticity may not only offer an arm in the vast arsenal of approaches being taken to tackle neurological disorders, such as neurodegenerative diseases, but from ample evidence, it also has major implications in neuropsychological disorders.
Effect of Chain Extension on the Rheological Property and Thermal Behaviour of Poly(lactic acid) Foams

Epoxy-based chain extended high-melt-strength poly (lactic acid) (PLA) was prepared. Rheological properties and the thermal behaviours of the chain extended PLA were studied. The rheological properties indicated that the melt elasticity and melt strength of the chain extended PLA samples were gradually improved by increasing the content of chain extender (CE). Moreover, the thermal results showed that the crystallinity and the spheruilite morphology of PLA were greatly influenced due to the introduction of CE. The effect of CE contents on foam morphology was also studied. Adding CE resulted in higher expansion ratio and smaller cell size of PLA foams.
Web spam filtering in internet archives

While Web spam is targeted for the high commercial value of top-ranked search-engine results, Web archives observe quality deterioration and resource waste as a side effect. So far Web spam filtering technologies are rarely used by Web archivists but planned in the future as indicated in a survey with responses from more than 20 institutions worldwide. These archives typically operate on a modest level of budget that prohibits the operation of standalone Web spam filtering but collaborative efforts could lead to a high quality solution for them. In this paper we illustrate spam filtering needs, opportunities and blockers for Internet archives via analyzing several crawl snapshots and the difficulty of migrating filter models across different crawls via the example of the 13 . uk snapshots performed by UbiCrawler that include WEBSPAM-UK2006 and WEBSPAM-UK2007.
Ruminal metagenomic libraries as a source of relevant hemicellulolytic enzymes for biofuel production

The success of second‐generation (2G) ethanol technology relies on the efficient transformation of hemicellulose into monosaccharides and, particularly, on the full conversion of xylans into xylose for over 18% of fermentable sugars. We sought new hemicellulases using ruminal liquid, after enrichment of microbes with industrial lignocellulosic substrates and preparation of metagenomic libraries. Among 150 000 fosmid clones tested, we identified 22 clones with endoxylanase activity and 125 with β‐xylosidase activity. These positive clones were sequenced en masse, and the analysis revealed open reading frames with a low degree of similarity with known glycosyl hydrolases families. Among them, we searched for enzymes that were thermostable (activity at > 50°C) and that operate at high rate at pH around 5. Upon a wide series of assays, the clones exhibiting the highest endoxylanase and β‐xylosidase activities were identified. The fosmids were sequenced, and the corresponding genes cloned, expressed and proteins purified. We found that the activity of the most active β‐xylosidase was at least 10‐fold higher than that in commercial enzymatic fungal cocktails. Endoxylanase activity was in the range of fungal enzymes. Fungal enzymatic cocktails supplemented with the bacterial hemicellulases exhibited enhanced release of sugars from pretreated sugar cane straw, a relevant agricultural residue.
GABA is an inhibitory neurotransmitter in the neural circuit regulating metamorphosis in a marine snail

The marine mud snail, Tritia (=Ilyanassa) obsoleta, displays a biphasic life cycle. During the initial phase of early development, embryos hatch from benthic egg capsules to become weakly swimming veliger larvae. In the second phase, adult T. obsoleta are facultative carnivores and major agents of community disturbance. Metamorphosis is the irreversible developmental event that links these two life history stages. When physiologically competent, larvae can respond to appropriate environmental cues by settling onto their mudflat habitat and transforming themselves into miniature adult snails. Two neurotransmitters—serotonin and nitric oxide—have opposing effects on the metamorphic process in this species. In multiple other species of gastropod and bivalve molluscs, a third neurotransmitter, the classically inhibitory compound γ‐aminobutyric acid (GABA), can induce settlement or metamorphosis upon external application to competent larvae. In this situation, GABA is presumed to mimic the action of ligands from the juvenile environment that bind to larval chemosensory receptors and activate the metamorphic pathway. Results of our experiments contradict this commonly reported action of GABA on molluscan larvae. External application of GABA to competent larvae of T. obsoleta elicited no response, but instead attenuated the action of serotonin (5‐HT), a metamorphic inducer. Our investigations into the responses of larval T. obsoleta to multiple GABAergic reagents support our hypothesis that GABA functions internally as a neurotransmitter in the pathway that controls the initiation of metamorphosis. Our results also suggest that GABA acts directly on or downstream from serotonergic neurons to regulate the metamorphosis‐inducing effects of this neurotransmitter. © 2018 Wiley Periodicals, Inc. Develop Neurobiol 78: 736–753, 2018
MiR‐21 improves invasion and migration of drug‐resistant lung adenocarcinoma cancer cell and transformation of EMT through targeting HBP1

This study was aimed at the investigation of the effects of miR‐21 on drug resistance, invasion, migration, and epithelial–mesenchymal transition (EMT) of lung adenocarcinoma cells and the related molecular mechanisms. Cell viability of A549 cell line was measured by MTT assay. Wound healing assay and transwell assay were, respectively, employed to examine cell migration and invasion abilities. The cells were transfected with miR‐21 mimic or inhibitor using Lipofectamine 3000. The target relationship between miR‐21 and HBP1 was confirmed by luciferase reporter gene assay. Western blot and qRT‐PCR were used to examine the expression of HBP1 and EMT‐related molecules. Compared with A549 cells, drug resistance of A549/PTX cells and A549/DDP cells were obviously stronger. A549/PTX cells and A549/DDP cells had stronger ability of migration and invasion compared with parental A549 cells. Meanwhile, EMT of A549/PTX and A549/DDP was significantly higher than that of A549 cells. MiR‐21 promoted migration, invasion, and EMT of human lung adenocarcinoma cancer cells. Our experiment also verified the target relationship between miR‐21 and HBP1. MiR‐21 may affect migration and invasion ability of drug‐resistant lung adenocarcinoma cells by targeting HBP1, therefore modulating EMT.
No exceptional precision of exceptional-point sensors

Recently, sensors with resonances at exceptional points (EPs) have been suggested to have a vastly improved sensitivity due to the extraordinary scaling of the complex frequency splitting of the n initially degenerate modes with the n-th root of the perturbation. We show here that the resulting quantum-limited signal to noise at EPs is proportional to the perturbation, and comparable to other sensors, thus providing the same precision. The complex frequency splitting close to EPs is therefore not suited to estimate the precision of EP sensors. The underlying reason of this counter-intuitive result is that the mode �elds, described by the eigenvectors, are equal for all modes at the EP, and are strongly changing with the perturbation.
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets. The most crucial factors for this task lie in two aspects: the intra-frame representation for joint co-occurrences and the inter-frame representation for skeletons' temporal evolutions. In this paper we propose an end-to-end convolutional co-occurrence feature learning framework. The co-occurrence features are learned with a hierarchical methodology, in which different levels of contextual information are aggregated gradually. Firstly point-level information of each joint is encoded independently. Then they are assembled into semantic representation in both spatial and temporal domains. Specifically, we introduce a global spatial aggregation scheme, which is able to learn superior joint co-occurrence features over local aggregation. Besides, raw skeleton coordinates as well as their temporal difference are integrated with a two-stream paradigm. Experiments show that our approach consistently outperforms other state-of-the-arts on action recognition and detection benchmarks like NTU RGB+D, SBU Kinect Interaction and PKU-MMD.
As a Matter of Force—Systematic Biases in Idealized Turbulence Simulations

Many astrophysical systems encompass very large dynamical ranges in space and time, which are not accessible by direct numerical simulations. Thus, idealized subvolumes are often used to study small-scale effects including the dynamics of turbulence. These turbulent boxes require an artificial driving in order to mimic energy injection from large-scale processes. In this Letter, we show and quantify how the autocorrelation time of the driving and its normalization systematically change the properties of an isothermal compressible magnetohydrodynamic flow in the sub- and supersonic regime and affect astrophysical observations such as Faraday rotation. For example, we find that δ-in-time forcing with a constant energy injection leads to a steeper slope in kinetic energy spectrum and less-efficient small-scale dynamo action. In general, we show that shorter autocorrelation times require more power in the acceleration field, which results in more power in compressive modes that weaken the anticorrelation between density and magnetic field strength. Thus, derived observables, such as the line-of-sight (LOS) magnetic field from rotation measures, are systematically biased by the driving mechanism. We argue that δ-in-time forcing is unrealistic and numerically unresolved, and conclude that special care needs to be taken in interpreting observational results based on the use of idealized simulations.
Journal of Geophysical Research: Space Physics Low-Altitude Ion Heating, Downflowing Ions, and BBELF Waves in the Return Current Region

Heavy (O+) ion energization and field-aligned motion in and near the ionosphere are still not well understood. Based on observations from the CAScade, Smallsat and IOnospheric Polar Explorer (CASSIOPE) Enhanced Polar Outflow Probe at altitudes between 325 km and 730 km over 1 year, we present a statistical study (24 events) of ion heating and its relation to field-aligned ion bulk flow velocity, low-frequency waves, and field-aligned currents. The ion temperature and field-aligned bulk flow velocity are derived from 2-D ion velocity distribution functions measured by the suprathermal electron imager (SEI) instrument. Consistent ion heating and flow velocity characteristics are observed from both the SEI and the rapid-scanning ion mass spectrometer instruments. We find that transverse O+ ion heating in the ionosphere can be intense (up to 4.5 eV), confined to very narrow regions (∼2 km across B), is more likely to occur in the downward current region and is associated with broadband extremely low frequency (BBELF) waves. These waves are interpreted as linearly polarized perpendicular to the magnetic field. The amount of ion heating cannot be explained by frictional heating, and the correlation of ion heating with BBELF waves suggests that significant wave-ion heating is occurring and even dominating at altitudes as low as 350 km, a boundary that is lower than previously reported. Surprisingly, the majority of these heating events (17 out 24) are associated with core ion downflows rather than upflows. This may be explained by a downward pointing electric field in the low-altitude return current region. Plain Language Summary We present the first statistical observations (24 events) of low-altitude (325–730 km) ion heating using both plasma and wave measurements from the CASSIOPE Enhanced Polar Outflow Probe satellite. We report the first observations of strong ion heating (up to 4.5 eV, or 50,000 K) down to 350 km altitude. These observations indicate that wave-particle interaction is important in the ion energization process at low altitudes. Unexpectedly, the majority of the ion heating events are correlated with ion downflows rather than upflows. This may be explained by downward pointing electric fields at ionospheric altitudes associated with regions of downward electric currents.
Multidimensional quantum entanglement with large-scale integrated optics

Large-scale integrated quantum optics The ability to pattern optical circuits on-chip, along with coupling in single and entangled photon sources, provides the basis for an integrated quantum optics platform. Wang et al. demonstrate how they can expand on that platform to fabricate very large quantum optical circuitry. They integrated more than 550 quantum optical components and 16 photon sources on a state-of-the-art single silicon chip, enabling universal generation, control, and analysis of multidimensional entanglement. The results illustrate the power of an integrated quantum optics approach for developing quantum technologies. Science, this issue p. 285 Large-scale integrated quantum optical circuitry is demonstrated on a single silicon chip. The ability to control multidimensional quantum systems is central to the development of advanced quantum technologies. We demonstrate a multidimensional integrated quantum photonic platform able to generate, control, and analyze high-dimensional entanglement. A programmable bipartite entangled system is realized with dimensions up to 15 × 15 on a large-scale silicon photonics quantum circuit. The device integrates more than 550 photonic components on a single chip, including 16 identical photon-pair sources. We verify the high precision, generality, and controllability of our multidimensional technology, and further exploit these abilities to demonstrate previously unexplored quantum applications, such as quantum randomness expansion and self-testing on multidimensional states. Our work provides an experimental platform for the development of multidimensional quantum technologies.
Gravitational waves from neutron stars and asteroseismology

Neutron stars are born in the supernova explosion of massive stars. Neutron stars rotate as stably as atomic clocks and possess densities exceeding that of atomic nuclei and magnetic fields millions to billions of times stronger than those created in laboratories on the Earth. The physical properties of neutron stars are determined by many areas of fundamental physics, and detection of gravitational waves can provide invaluable insights into our understanding of these areas. Here, we describe some of the physics and astrophysics of neutron stars and how traditional electromagnetic wave observations provide clues to the sorts of gravitational waves we expect from these stars. We pay particular attention to neutron star fluid oscillations, examining their impact on electromagnetic and gravitational wave observations when these stars are in a wide binary or isolated system, then during binary inspiral right before merger, and finally at times soon after merger. This article is part of a discussion meeting issue ‘The promises of gravitational-wave astronomy’.
Understanding Information Privacy Assimilation in IT Organizations using Multi-site Case Studies

We develop a framework for understanding the mechanisms of information privacy assimilation in information technology (IT) organizations. Following neo-institutional theory, we develop a broad conceptual model and further build a detailed theory based on a multi-site, multi-case study of 18 organizations. We treat information privacy as a distinct dimension separate from information security. As in the case of information security, senior management support emerged as a mediator between the external influences of coercive, mimetic, and normative forces and information privacy assimilation. Privacy capability emerged as a distinct construct that had a moderating effect on the influence of coercive and normative forces on privacy assimilation. Similarly, cultural acceptability also moderated the effect of external forces on privacy assimilation. We produce a theoretical model that future research can empirically test. The findings would enable senior managers identify and respond to institutional pressures by focusing on appropriate factors in the organizations.
Weighted Low-Rank Approximation of Matrices and Background Modeling

We primarily study a special a weighted low-rank approximation of matrices and then apply it to solve the background modeling problem. We propose two algorithms for this purpose: one operates in the batch mode on the entire data and the other one operates in the batch-incremental mode on the data and naturally captures more background variations and computationally more effective. Moreover, we propose a robust technique that learns the background frame indices from the data and does not require any training frames. We demonstrate through extensive experiments that by inserting a simple weight in the Frobenius norm, it can be made robust to the outliers similar to the $\ell_1$ norm. Our methods match or outperform several state-of-the-art online and batch background modeling methods in virtually all quantitative and qualitative measures.
High precision wavefront control in point spread function engineering for single emitter localization

Point spread function (PSF) engineering is used in single emitter localization to measure the emitter position in 3D and possibly other parameters such as the emission color or dipole orientation as well. Advanced PSF models such as spline fits to experimental PSFs or the vectorial PSF model can be used in the corresponding localization algorithms in order to model the intricate spot shape and deformations correctly. The complexity of the optical architecture and fit model makes PSF engineering approaches particularly sensitive to optical aberrations. Here, we present a calibration and alignment protocol for fluorescence microscopes equipped with a spatial light modulator (SLM) with the goal of establishing a wavefront error well below the diffraction limit for optimum application of complex engineered PSFs. We achieve high-precision wavefront control, to a level below 20 mλ wavefront aberration over a 30 minute time window after the calibration procedure, using a separate light path for calibrating the pixel-to-pixel variations of the SLM, and alignment of the SLM with respect to the optical axis and Fourier plane within 3 µm (x/y) and 100 µm (z) error. Aberrations are retrieved from a fit of the vectorial PSF model to a bead z-stack and compensated with a residual wavefront error comparable to the error of the SLM calibration step. This well-calibrated and corrected setup makes it possible to create complex ‘3D+λ’ PSFs that fit very well to the vectorial PSF model. Proof-of-principle bead experiments show precisions below 10 nm in x, y, and λ, and below 20 nm in z over an axial range of 1 µm with 2000 signal photons and 12 background photons.
Diagnosis of primary peritoneal high‐grade serous carcinoma in a man by cytology

Primary peritoneal serous carcinoma (PPSC) is a rare neoplasm histologically indistinguishable from ovarian serous carcinoma primarily occurring in the female population. To date, extremely rare cases of PPSC have been reported in men; however, diagnosis by cytology has yet to be described. Here we present the clinical, radiographic, cytomorphologic, histologic and immunohistochemical (IHC) findings of a high-grade (HG) PPSC in a 70-year-old man with a history of prostatic adenocarcinoma. Core needle biopsy (CNB) touch preparation smears showed pleomorphic, round, columnar and polygonal epithelioid cells present singly or arranged in loosely cohesive three-dimensional clusters. The tumor cells are characterized by enlarged nuclei containing prominent nucleoli, and variable scant to moderate, slightly dense cytoplasm. Scattered cells contained cytoplasmic vacuoles. Examination of CNB revealed an infiltrating tumor in sheets with focal papillary configuration. Tumor cells were morphologically consistent with HG carcinoma. IHC studies demonstrated diffuse positivity for CK7, PAX-8, ER, WT1, p53, p16 and BerEP4 with focal/weak staining for calretinin and CK5/6, which supporting the diagnosis of HG PPSC. The patient was treated with 6 cycles of carboplatin and paclitaxel with near resolution of the mass at 10 month follow-up. To the best of our knowledge, this is the first reported case in the literature of PPSC in a man diagnosed by cytology. This article is protected by copyright. All rights reserved.
Web spam identification through language model analysis

This paper applies a language model approach to different sources of information extracted from a Web page, in order to provide high quality indicators in the detection of Web Spam. Two pages linked by a hyperlink should be topically related, even though this were a weak contextual relation. For this reason we have analysed different sources of information of a Web page that belongs to the context of a link and we have applied Kullback-Leibler divergence on them for characterising the relationship between two linked pages. Moreover, we combine some of these sources of information in order to obtain richer language models. Given the different nature of internal and external links, in our study we also distinguished these types of links getting a significant improvement in classification tasks. The result is a system that improves the detection of Web Spam on two large and public datasets such as WEBSPAM-UK2006 and WEBSPAM-UK2007.