Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of the Neural Oscillations Underlying Meditation

Objective: Meditation is one type of mental training that has been shown to produce many cognitive benefits. Meditation practice is associated with improvement in concentration and reduction of stress, depression, and anxiety symptoms. Furthermore, different forms of meditation training are now being used as interventions for a variety of psychological and somatic illnesses. These benefits are thought to occur as a result of neurophysiologic changes. The most commonly studied specific meditation practices are focused attention (FA), open-monitoring (OM), as well as transcendental meditation (TM), and loving-kindness (LK) meditation. In this review, we compare the neural oscillatory patterns during these forms of meditation. Method: We performed a systematic review of neural oscillations during FA, OM, TM, and LK meditation practices, comparing meditators to meditation-naïve adults. Results: FA, OM, TM, and LK meditation are associated with global increases in oscillatory activity in meditators compared to meditation-naïve adults, with larger changes occurring as the length of meditation training increases. While FA and OM are related to increases in anterior theta activity, only FA is associated with changes in posterior theta oscillations. Alpha activity increases in posterior brain regions during both FA and OM. In anterior regions, FA shows a bilateral increase in alpha power, while OM shows a decrease only in left-sided power. Gamma activity in these meditation practices is similar in frontal regions, but increases are variable in parietal and occipital regions. Conclusions: The current literature suggests distinct differences in neural oscillatory activity among FA, OM, TM, and LK meditation practices. Further characterizing these oscillatory changes may better elucidate the cognitive and therapeutic effects of specific meditation practices, and potentially lead to the development of novel neuromodulation targets to take advantage of their benefits.
Sound therapy and aural rehabilitation for tinnitus: a person centred therapy framework based on an ecological model of tinnitus

Abstract Purpose: Tinnitus is a common oto-neurological complaint often accompanying hearing loss. In this perspective on rehabilitation we describe a framework for sound therapy and aural rehabilitation of tinnitus based on the ecological model of tinnitus. Method: A thematic network analysis-based approach was used to relate aural rehabilitation methods to the ecological model of tinnitus and the client-oriented scale of improvement in tinnitus. Results: Aural rehabilitation methods were mapped to concepts of: (1) Context, (2) presence of sound and (3) reaction to sound. A global theme was: adaptation to sound. The framework is the result of an iterative and cumulative research program exploring tinnitus as the outcome of the relationship between individual psychoacoustics and psychosocial factors including context of perception. Conclusions: The intent of this framework is to help guide audiologists managing tinnitus. The framework has been useful in our clinic as illustrated by a case study. The benefits of this approach relative to standard care needs to be independently ascertained. Implications for Rehabilitation Tinnitus is a common oto-neurological complaint that when severe can be very disabling. Tinnitus is very heterogeneous as a consequence of this no one treatment is suitable for everyone. The sound therapy and aural rehabilitation for tinnitus framework is designed to assist audiologists in clinical planning that addresses individual needs. The framework is the result of an iterative and cumulative research program exploring tinnitus as the outcome of the relationship between individual psychoacoustics and psychosocial factors including context of perception.
Enabling technologies for future data center networking: a primer

The increasing adoption of cloud services is demanding the deployment of more data centers. Data centers typically house a huge amount of storage and computing resources, in turn dictating better networking technologies to connect the large number of computing and storage nodes. Data center networking (DCN) is an emerging field to study networking challenges in data centers. In this article, we present a survey on enabling DCN technologies for future cloud infrastructures through which the huge amount of resources in data centers can be efficiently managed. Specifically, we start with a detailed investigation of the architecture, technologies, and design principles for future DCN. Following that, we highlight some of the design challenges and open issues that should be addressed for future DCN to improve its energy efficiency and increase its throughput while lowering its cost.
Hide and Seek: Body Image-Related Issues for Breast Cancer Survivors with Lymphedema

Hide and Seek: Body Image-Related Issues for Breast Cancer Survivors with Lymphedema Although previous studies of breast cancer survivors with lymphedema have examined body image, none have examined body image as a multidimensional experience within this population. The purpose of this paper is to present focus group findings related to body image in breast cancer survivors with lymphedema. Focus groups were conducted at Vanderbilt University School of Nursing and were audio recorded and transcribed verbatim. Transcripts were coded line-by-line using ATLAS.ti software by three independent reviewers. Initial coding was clustered into categories representing broader categories of similar codes.
Volumetric view planning for 3D reconstruction with multiple manipulators

Purpose – This paper aims to propose a new view planning method which can be used to calculate the next-best-view (NBV) for multiple manipulators simultaneously and build an automated three-dimensional (3D) object reconstruction system, which is based on the proposed method and can adapt to various industrial applications. Design/methodology/approach – The entire 3D space is encoded with octree, which marks the voxels with different tags. A set of candidate viewpoints is generated, filtered and evaluated. The viewpoint with the highest score is selected as the NBV. Findings – The proposed method is able to make the multiple manipulators, equipped with “eye-in-hand” RGB-D sensors, work together to accelerate the object reconstruction process. Originality/value – Compared to the existed approaches, the proposed method in this paper is fast, computationally efficient, has low memory cost and can be used in actual industrial productions where the multiple different manipulators exist. And, more notably, a new.
Comparative Study of Ultraviolet Laser-Based Time-Resolved Photoacoustic Fingerprint Spectra and Thermal Decomposition Mechanisms of Energetic 1,2,3-1H-Triazole Derivatives Under Controlled Pyrolysis

We report the comparative study of photoacoustic (PA) fingerprint spectra, thermal decomposition, and stability mechanism of some phenyl and bis series energetic compounds named 1-(2-methoxy,-3,5-dinitrophenyl)-1H-1,2,3-triazole (S5), 1-(3-methoxy, 2, 6 dinitrophenyl) 1H-1, 2, 3 triazole (S10), 1-(4-nitrophenyl)-1H-1,2,3-triazole (S8), and 2,6-bis ((4-(nitromethyl)-1H-1,2,3-triazol-1-yl)methyl) pyridine (S9). Fourth harmonic wavelength, i.e., 266 nm of pulse duration 7 ns and 10 Hz repetition rate obtained from Q-switched Nd: YAG laser, was used to record the thermal PA spectra of these compounds under controlled pyrolysis condition in the range of 30–350 ℃. The PA fingerprint spectra are produced due to entire molecule vapor along with principal functional byproduct NO2 molecule. NO2 molecule is a major gas released during thermal decomposition due to weakest nature of C–NO2 bond. Further, NO2 molecules are involved in photodissociation process due to π*←n transition and converted into NO molecules inside the PA cell due to excitation by 266 nm wavelength. The combined results of PA and gas chromatography–mass spectrometry (GC-MS) spectra along with thermo gravimetric–differential thermal analysis (TG-DTA) data confirm the thermal decomposition mechanism process that can be completed in multiple steps. In addition, GC-MS spectra also confirm the release of NO and NO2 molecules. The effect of incident laser energy and data acquisition time has been carried out for understanding the behavior of acoustic modes. Finally, the thermal quality factor “Q” is measured to test the stability of compounds.
Targeting oncomiRNAs and mimicking tumor suppressor miRNAs: New trends in the development of miRNA therapeutic strategies in oncology (Review)

MicroRNA (miRNA or miR) therapeutics in cancer are based on targeting or mimicking miRNAs involved in cancer onset, progression, angiogenesis, epithelial-mesenchymal transition and metastasis. Several studies conclusively have demonstrated that miRNAs are deeply involved in tumor onset and progression, either behaving as tumor-promoting miRNAs (oncomiRNAs and metastamiRNAs) or as tumor suppressor miRNAs. This review focuses on the most promising examples potentially leading to the development of anticancer, miRNA-based therapeutic protocols. The inhibition of miRNA activity can be readily achieved by the use of miRNA inhibitors and oligomers, including RNA, DNA and DNA analogues (miRNA antisense therapy), small molecule inhibitors, miRNA sponges or through miRNA masking. On the contrary, the enhancement of miRNA function (miRNA replacement therapy) can be achieved by the use of modified miRNA mimetics, such as plasmid or lentiviral vectors carrying miRNA sequences. Combination strategies have been recently developed based on the observation that i) the combined administration of different antagomiR molecules induces greater antitumor effects and ii) some anti-miR molecules can sensitize drug-resistant tumor cell lines to therapeutic drugs. In this review, we discuss two additional issues: i) the combination of miRNA replacement therapy with drug administration and ii) the combination of antagomiR and miRNA replacement therapy. One of the solid results emerging from different independent studies is that miRNA replacement therapy can enhance the antitumor effects of the antitumor drugs. The second important conclusion of the reviewed studies is that the combination of anti-miRNA and miRNA replacement strategies may lead to excellent results, in terms of antitumor effects.
Human cortical–hippocampal dialogue in wake and slow-wave sleep

Significance Reciprocal cortical–hippocampal signaling is widely believed to underlie consolidation of declarative memories. By investigating human fMRI and electrocorticography during both wake and slow-wave sleep (SWS), we find, first, that δ-band activity and infraslow activity propagate in opposite directions between the hippocampus and cortex. Second, both δ activity and infraslow activity reverse propagation directions between the hippocampus and the cortex across wake and SWS. These results highlight reciprocal communication between frequencies, and constitute direct evidence for the reversal of the human cortical–hippocampal dialogue across wake and SWS. Declarative memory consolidation is hypothesized to require a two-stage, reciprocal cortical–hippocampal dialogue. According to this model, higher frequency signals convey information from the cortex to hippocampus during wakefulness, but in the reverse direction during slow-wave sleep (SWS). Conversely, lower-frequency activity propagates from the information “receiver” to the “sender” to coordinate the timing of information transfer. Reversal of sender/receiver roles across wake and SWS implies that higher- and lower-frequency signaling should reverse direction between the cortex and hippocampus. However, direct evidence of such a reversal has been lacking in humans. Here, we use human resting-state fMRI and electrocorticography to demonstrate that δ-band activity and infraslow activity propagate in opposite directions between the hippocampus and cerebral cortex. Moreover, both δ activity and infraslow activity reverse propagation directions between the hippocampus and cerebral cortex across wake and SWS. These findings provide direct evidence for state-dependent reversals in human cortical–hippocampal communication.
A word embedding generation method based on flexible length context

In the normal word embedding generation methods, many traditional language models, such as Word2vec, Glove, divide the corpus into fixed-length contexts by setting a fixed-size window, which greatly reduce the complexity of the model and computations, but this cause the semantic missing and chaos and other issues. To this end, this paper presents a new context segmentation strategy, which uses punctuation to divide corpus into semantically complete contexts, of which the length is not fixed. In order to apply this kind of context on Glove, this paper proposes two improved models based on the original Glove: 1) Using the new context partitioning strategy to calculate the co-occurrence between words, the improved model is called Glove1. 2) On the basis of 1), the context is encoded into a distributed vector and introduced into the model's calculation, the improved model is called Glove2. We use the news.2012. en.shuffled data set to train and test on the Glove, the Glove1 and the Glove2 respectively. The experimental results shows that it is feasible to use the punctuation to divide the corpus into semantically complete contexts, which can significantly improve the semantic and syntactic of word embedding. Glove1 and Glove2 improve the quality of word embedding, which contains more semantic and syntactic information and has better linear relationships.
Application of Static Models to Predict Midazolam Clinical Interactions in the Presence of Single or Multiple Hepatitis C Virus Drugs

Asunaprevir (ASV), daclatasvir (DCV), and beclabuvir (BCV) are three drugs developed for the treatment of chronic hepatitis C virus infection. Here, we evaluated the CYP3A4 induction potential of each drug, as well as BCV-M1 (the major metabolite of BCV), in human hepatocytes by measuring CYP3A4 mRNA alteration. The induction responses were quantified as induction fold (mRNA fold change) and induction increase (mRNA fold increase), and then fitted with four nonlinear regression algorithms. Reversible inhibition and time-dependent inhibition (TDI) on CYP3A4 activity were determined to predict net drug-drug interactions (DDIs). All four compounds were CYP3A4 inducers and inhibitors, with ASV demonstrating TDI. The curve-fitting results demonstrated that fold increase is a better assessment to determine kinetic parameters for compounds inducing weak responses. By summing the contribution of each inducer, the basic static model was able to correctly predict the potential for a clinically meaningful induction signal for single or multiple perpetrators, but with over prediction of the magnitude. With the same approach, the mechanistic static model improved the prediction accuracy of DCV and BCV when including both induction and inhibition effects, but incorrectly predicted the net DDI effects for ASV alone or triple combinations. The predictions of ASV or the triple combination could be improved by only including the induction and reversible inhibition but not the ASV CYP3A4 TDI component. Those results demonstrated that static models can be applied as a tool to help project the DDI risk of multiple perpetrators using in vitro data.
How to Evaluate the Quality of Toxicokinetic—Toxicodynamic Models in the Context of Environmental Risk Assessment

Environmental risk assessment (ERA) of chemicals relies on the combination of exposure and effects assessment. Exposure concentrations are commonly estimated using mechanistic fate models, but the effects side is restricted to descriptive statistical treatment of toxicity data. Mechanistic effect models are gaining interest in a regulatory context, which has also sparked discussions on model quality and good modeling practice. Proposals for good modeling practice of effect models currently focus very much on population and community models, whereas effects models also exist at the individual level, falling into the category of toxicokinetic–toxicodynamic (TKTD) models. In contrast to the higher‐level models, TKTD models are usually completely parameterized by fitting them to experimental data. In fact, one of their explicit aims is to replace descriptive methods for data analysis. Furthermore, the construction of these models does not fit into an orderly modeling cycle, given that most TKTD models have been under continuous development for decades and are being applied by many different research groups, for many different purposes. These aspects have considerable consequences for the application of frameworks for model evaluation. For example, classical sensitivity analysis becomes rather meaningless when all model parameters are fitted to a data set. We illustrate these issues with the General Unified Threshold model for Survival (GUTS), relate them to the quality issues for currently used models in ERA, and provide recommendations for the evaluation of TKTD models and their analyses. Integr Environ Assess Manag 2018;14:604–614. ©2018 SETAC
Solar Cell Manufacturing Method with the Structure of the Bulk Heterojunction Based on Organic Semiconductors with a Direct Architecture

This article presents the results of research output voltage characteristics of solar cells on an organic basis with the use of P3HT: PCBM system. There were produced organic solar cells in a coating in air, current-voltage characteristics were measured. It was determined the characteristic influence of a substrate cleaning and annealing temperature of layers applied on fill factor and conversion efficiency.
Numerical simulations on the fracture behavior of concrete material by particle method

Finite Element Method (FEM) has been developed to simulate the failure behavior of elasto-plastic material. However, it has been exhibited that it was not easy to reproduce the discontinuity of fracture behavior and the post-peak behavior of concrete by general FEM because FEM is derived based on continuum mechanics. Recently meshless method such as element free galerkin method and particle method [1-3] have been developed and challenging to simulate inelastic behavior through elastic region. This paper presents the applicability of the particle method on the failure and fracture analyses of brittle material such as concrete. In this paper, Moving Particle SemiImplicit (MPS) method [4] proposed by Koshizuka is employed. In the early studies by the authors [5], original MPS method was improved so that the method could simulate elastic and elasto-plastic behavior. However, particle size and influence area, which are very essential in MPS, were not discussed. First, in order to examine elastic behavior, the effects of particle size and influence area used in the weighted averaging are discussed. Also, the relationship between local spring constants and macro elastic constants such as young's modulus and poisson's ratio are investigated. Then, simple constitutive model is considered as follows. In the normal spring between particles, the bilinear model is used. Mohr-Coulomb yield criteria is applied in the shear spring. To validate these constitutive model, analyses of uni-axial tension and compression tests of concrete plate are conducted. These results indicate that the model mentioned above enables us to reproduce brittle failure/fracture behavior of concrete, and the weighted avaraging operation in MPS method is very suitable to describe the strain gradient and strain localization of concrete material. After that, the failure and fractre behavior of concrete under more complicated stress state are simulated and the applicability and issue of particle method is discussed.
THE EFFECT OF AMBIENT LIGHT ON BLIND CAVE CRAYFISH : SOCIAL INTERACTIONS

This study investigated the social behaviors of blind cave-adapted crayfish and compared them to the behaviors of sighted crayfish. Because blind cave crayfish display phototactic behavior, presumably mediated by the caudal photoreceptors in the sixth abdominal ganglion, we tested whether light, a disturbance in the crayfish’s normal cave environment, altered their normal social behaviors. Observations were made in infrared or dim-white light to quantify social interactions. Exposure to white light reduced the amount of interaction time as compared to infrared light. The results revealed that blind crayfish did not exhibit behaviors usually associated with visual displays and posturing (i.e., the raised meral spread was absent). Same-sized individuals, previously housed in isolated conditions for two weeks, were paired. Both individuals tended to tail flip or move apart immediately after initial antennae contact. This is the same behavior observed within the natural cave environment. After repeated interactions between them, the rapid tail flip behavior became less frequent, while avoidance became an automatic reaction. Ethograms were constructed to determine the differences in the observed behaviors between the aggressive and submissive cave crayfish.
Towards adaptive control in smart homes: Overall system design and initial evaluation of activity recognition

This paper proposes an approach for adaptive control over devices within a smart home, by learning user behavior and preferences over time. The proposed solution leverages three components: activity recognition for realizing the state of a user, ontologies for finding relevant devices within a smart home, and machine learning for decision making. In this paper, the focus is on the first component. Existing algorithms for activity recognition are systematically evaluated on a real-world dataset. A thorough analysis of the algorithms' accuracy is presented, with focus on the structure of the selected dataset. Finally, further study of the dataset is carried out, aiming at reasoning factors that influence the activity recognition performance.
Study on Contact Angles of PP Fibers by Wetting Balance Method

An apparatus was designed for measuring water contact angle of polypropylene fiber with an exact balance according to wetting force principle.The water contact angles of polypropylene fibers were measured.The fibers length and immersed depth in water to effect on contact angle of polypropylene fiber were studied.The result indicated that this method was reliable.When fiber's length was 5 mm and depth of fibers immersed into water was 1 to 2 mm,the contact angles of fibers had better reproducibility.
Action retrieval with relevance feedback on YouTube videos

Content-based retrieval systems are becoming increasingly relevant for managing large multimedia databases, such as those found on the Internet. In this paper, we investigate applying content-based retrieval with relevance feedback to the popular YouTube human action dataset[8], using a variety of methods to extract and compare features, in order to determine the most accurate techniques in this setting. Among other techniques, we explore soft-assignment code-book clustering, feature pruning, motion and static features, Adaboost and ABRS-SVM for relevance feedback. We evaluate the performance of several different systems to find the best combination of techniques for human action retrieval. We demonstrate that existing relevance feedback methods do not work well for YouTube media, and that a naive algorithm consistently outperforms these.