Miracle-dz/UniFAR-FTUs huggingface dataset:
Microstructural Changes in Patients With Parkinson's Disease Comorbid With REM Sleep Behaviour Disorder and Depressive Symptoms

The diagnosis of Parkinson's disease (PD) is currently anchored on clinical motor symptoms, which appear more than 20 years after initiation of the neurotoxicity. Extra-nigral involvement in the onset of PD with probable nonmotor manifestations before the development of motor signs, lead us to the preclinical (asymptomatic) or prodromal stages of the disease (various nonmotor or subtle motor signs). REM sleep behavior disorder (RBD) and depression are established prodromal clinical markers of PD and predict worse motor and cognitive outcomes. Nevertheless, taken by themselves, these markers are not yet claimed to be practical in identifying high-risk individuals. Combining promising markers may be helpful in a reliable diagnosis of early PD. Therefore, we aimed to detect neural correlates of RBD and depression in 93 treatment-naïve and non-demented early PD by means of diffusion MRI connectometry. Comparing four groups of PD patients with or without comorbid RBD and/or depressive symptoms with each other and with 31 healthy controls, we found that these two non-motor symptoms are associated with lower connectivity in several white matter tracts including the cerebellar peduncles, corpus callosum and long association fibers such as cingulum, fornix, and inferior longitudinal fasciculus. For the first time, we were able to detect the involvement of short association fibers (U-fibers) in PD neurodegenerative process. Longitudinal studies on larger sample groups are needed to further investigate the reported associations.
Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem

The Soil Moisture Active Passive (SMAP) satellite mission launched in January 2015 provides worldwide soil moisture (SM) monitoring based on L-band brightness temperature (<inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ p}}$ </tex-math></inline-formula>) measurements at horizontal (<inline-formula> <tex-math notation="LaTeX">$\text{T}_{B}^{\mathrm{ H}}$ </tex-math></inline-formula>) and vertical (<inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ V}}$ </tex-math></inline-formula>) polarizations. This paper presents a performance assessment of SMAP soil emission model and SM retrieval algorithms for a Tibetan desert ecosystem. It is found that the SMAP emission model largely underestimates the SMAP measured <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ H}}$ </tex-math></inline-formula>(≈ 15 K), and the <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ V}}$ </tex-math></inline-formula> is underestimated during dry-down episodes. A cold bias is noted for the SMAP effective temperature due to underestimation of soil temperature, leading to the <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ p}}$ </tex-math></inline-formula> underestimation (>5 K). The remaining <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ H}}$ </tex-math></inline-formula> underestimation is found to be related to the surface roughness parameterization that underestimates its effect on modulating the <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ p}}$ </tex-math></inline-formula> measurements. Further, the topography and uncertainty of soil information are found to have minor impacts on the <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ p}}$ </tex-math></inline-formula> simulations. The SMAP baseline SM products produced by single-channel algorithm (SCA) using the <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ V}}$ </tex-math></inline-formula> measurements capture the measured SM dynamics well, while an underestimation is noted for the dry-down periods because of <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ V}}$ </tex-math></inline-formula> underestimation. The products based on the SCA with <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ H}}$ </tex-math></inline-formula> measurements underestimate the SM due to underestimation of <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ H}}$ </tex-math></inline-formula>, and the dual-channel algorithm overestimates the SM. After implementing a new surface roughness parameterization and improving the soil temperature and texture information, the deficiencies noted above in <inline-formula> <tex-math notation="LaTeX">$T_{B}^{\mathrm{ p}}$ </tex-math></inline-formula> simulation and SM retrieval are greatly resolved. This indicates that the SMAP SM retrievals can be enhanced by improving both surface roughness and adopted soil temperature and texture information for Tibetan desert ecosystem.
#élysée2017fr: The 2017 French Presidential Campaign on Twitter

The French presidential election was one of the main political event of 2017, and triggered a lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main parties instead of the historical bipartite (left-right) confrontation, ranging from far-left to far-right. This dataset paper proposes #Élysée2017fr, a large and complex dataset of 22853 Twitter profiles active during the campaign (from November 2016 to May 2017), and their corresponding tweets and retweets, plus the retweet and mention networks related to these profiles. The profiles were manually annotated with their political affiliations (up to 2 political parties per profile), their nature (individual or collective), and the sex of the profile's owner when available. This is one of the rare datasets that considers a non-binary stance classification and, to our knowledge, the first one with a large number of profiles, and the first one proposing overlapping political communities. This dataset can be used as-is to study the campaign mechanisms on Twitter, or used to test stance detection models or network analysis tools. Mining these data might reveal new insights on current issues like echo chambers or fake news diffusion.
Linear-cavity mode-locked laser using Thulium-doped nanoengineered yttrium-alumina silica fiber

In this work, we successfully develop a mode-locked fiber lasers utilizing a nano-engineered Tm3+-doped yttrium-alumina-silica (YAS) glass fiber and a semiconductor saturable absorber mirror (SESAM). The gain fiber, produced by Dr. M. C. Paul's group in CSIR, India, presents several benefits, including high efficiencies and low loss.
Semantic analysis of social media and associated psychotic behavior

From the past few decades a large proportion of our daily lives are being consumed by the social media, we must keep our social networking sites updated at all the times, as they have become the primary source of interaction for us. Similarly, in the field of technology, detection of emotions from the data obtained through some social networking sites is becoming quite popular. With the advancement in technology social network users experience numerous problems i.e. depression, suicide commitment, and psychotic behavior especially young adults who excessively use the social networking sites. Due to its unique features and excessive use by the young adults social networks are very appropriate platforms for psychological analysis. Today, roughly nine-in-ten American adults use the internet. In this paper, we have discussed steps involved in classification process with detailed. Moreover, we have performed the comparison of different classifiers with respect to their methodologies and attained results of state-of-the art approaches are presented effectively.
Design Thinking: Using Photo Prototyping for a user-centered Interface Design for Pick-by-Vision Systems

With Industry 4.0 manufacturing facilities experience a dynamic change towards smart factories. Digitalization of processes accompanied by extensive data acquisition enables process planners to utilize innovative technologies like Augmented Reality (AR) to support employees in their tasks on the shop floor. Among others a visualization in the user's field of view allows hands-free work and avoids unnecessary head movements. To make use of the employee's expertise, we try to involve workers with the aid of Design Thinking at an early stage in the AR-interface design process. A pervasive method in app design is Paper Prototyping. Early sketches of user interfaces serve as common language in interdisciplinary teams. In this paper we develop a method based on Paper Prototyping especially for AR content needs, which is called Photo Prototyping. This method overlays the user's field of view with sketches of the future AR-content. Furthermore we elucidate our experience, we've gained during a workshop with 40 workers out of logistics in the automotive industry.
Exploiting semantic knowledge base for patent retrieval

Patent retrieval is considered as recall-oriented retrieval that aims to find all relevant patent documents for a patent query. However, current methods encounter the term mismatch problem, because of the frequent use of nonstandard technical terms in patent documents. In order to deal with this problem, we propose a new patent query expansion approach by exploiting semantic knowledge base, which can enrich the query with semantically related concepts. Concretely, to understand the query semantics, we present the WordNet and Wikipedia-based expansion algorithms enhancing the initial query. We further provide the combination strategy to execute query and obtain retrieval results. Experiments are performed based on Java environment using the CLEF-IP collection. Results show that the performance of our approach is significantly better than other state-of-the-art approaches.
Identification of information recourses threats based on intelligent technologies, fractal and wavelet analysis

It is offered to identify the information recourses threats on the basis of solving the network classification problem with the help of intelligent technologies, fractal and wavelet analysis. Modeling of the security system from information resources threats is considered with the mode of adapting from the forecast model network attack and adjusting parameters on the basis of the results of intellectual network classification. The algorithm and the steps of solving the network classification problem are described. The illustrative example is given.
Cognição social em crianças: descobrindo a influência de crenças falsas e emoções no comportamento humano

The study had investigated the children's comprehension of the influence of beliefs and emotions on human behavior. Participated 100 children, from 4 and 5 years old, different socioeconomic levels, both genders, distributed in 4 groups according to the age in months. The results was an unexpected object transference, followed by two questions in different conditions. Observed the theory of mind occurs in 56% of the them, starting at 4 years old. The loglinear analysis showed that the factors age and socioeconomic level are meaningful predictors of a better performance. Comparing the results in the questions of false belief and emotion, it was observed an increasing improvement in the development according to age, but in the question of emotion it showed a higher standard. It is discussed: (1) the capacity in predicting and justifying emotions is developed earlier than the ability to infer actions based upon false belief, (2) the way to pose the question did not help the performance and (3) the interference of SES occurs between 54-65 months of age.
Transmission-Constrained Unit Commitment

The unit commitment with transmission constraints in the alternating-current (AC) model is a challenging mixed-integer non-linear optimisation problem. We present an approach based on decomposition of a Mixed-Integer Semidefinite Programming (MISDP) problem into a mixed-integer quadratic (MIQP) master problem and a semidefinite programming (SDP) sub-problem. Between the master problem and the sub-problem, we pass novel classes of cuts. We analyse finite convergence to the optimum of the MISDP and report promising computational results on a test case from the Canary Islands, Spain.
Electrical characteristics of WO3/Ag/WO3 sandwich structure fabricated with magnetic-control sputtering metrology

Using the magnetic-control sputtering fabrication, WO3/Ag/WO3 thin film was successfully formed as a sandwich structure treated as a transparent conductive thin film. The thicknesses of silver and tungsten oxide were 10 to 20nm and 50 to 60nm, respectively. For the increase of silver thickness from 10 to 20nm, the sheet resistance is reduced. However, this effect in tungsten oxide is entirely reversed. As the electrical measurement was applied to this tested sandwich structure, the conductivity is better than that for the single layer of tungsten oxide due to the conduction contribution from the silver layer.
Intrinsic Secrecy of EGT and MRT Precoders for Proper and Improper Modulations

This paper makes an information theoretical analysis of the intrinsic secrecy level of M-QAM and M-PSK modulation schemes considering the use of equal gain transmission and maximum ratio transmission precoding techniques. In addition to the analysis of the conventional proper M-QAM and M-PSK constellations, a recently proposed family of improper versions of the M-QAM and M-PSK modulation schemes is also evaluated. With the exception of proper M-PSK, which verifies always full secrecy for the considered precoders, the main results show that for low order constellations, the amount of intrinsic secrecy provided by the combination of the precoder and modulation scheme is significant and, therefore, can be exploited in the design of a full secrecy solution. The theoretical derivations provided in this paper can be directly applied to quantify the minimal entropy that a secret key must have to fully secure the exchange of information for these transmission schemes.
Intrusion detection algorithms based on correlation information entropy and binary particle swarm optimization

In current intrusion detection, redundant features often lead to the degradation of detection accuracy. Aiming at this problem, an intrusion detection algorithm based on correlation information entropy and binary particle swarm optimization algorithm was proposed. Correlation information entropy was used to sort features. This can filter irrelevant features. So the feature dimension was reduced. Then some better subsets that were gotten from feature sorting were used as the part initial population. In this way, the following particle swarm optimization algorithm would have a good starting point. The test results showed that the better classification performance was obtained according to the selected optimal feature subset, and the testing time of the system was reduced effectively.
A quarter century of EUS-FNA: Progress, milestones, and future directions

Tissue acquisition using EUS has considerably evolved since the first EUS-FNA was reported 25 years ago. Its introduction was an important breakthrough in the endoscopic field. EUS-FNA has now become a part of the diagnostic and staging algorithm for the evaluation of benign and malignant diseases of the gastrointestinal tract and of the organs in its proximity, including lung diseases. This review aims to present the history of EUS-FNA development and to provide a perspective on the recent developments in procedural techniques and needle technologies that have significantly extended the role of EUS and its clinical applications. There is a bright future ahead for EUS-FNA in the years to come as extensive research is conducted in this field and various technologies are continuously implemented into clinical practice.
Health Recommender System design in the context of CAREGIVERSPRO-MMD Project

CAREGIVERSPRO-MMD an EU H2020 funded project aims to build a digital platform focusing on people living with dementia and their caregivers, offering a selection of advanced, individually tailored services enabling them to live well in the community for as long as possible. This paper provides an outline of a health recommender system designed in the context of the project to provide tailored interventions to caregivers and people living with dementia.
Towards Near Optimal WiFi Offloading With Uncertain Contact Duration

Due to the simplicity of implementation, user-initiated Wi-Fi offloading becomes more and more popular, and naturally the benefits of users become the main optimization goal. We notice the inter-contact and intra-contact durations could be uncertain in reality by reason of the user mobility and network dynamics. The two uncertain durations can cause great impact on the benefit of users; however, they were either ignored or simply assumed to be deterministic in most previous works. In this paper, for the first time, we study Wi-Fi offloading problem with uncertain contact durations. The aim is to guarantee the benefit of users (delay and payment) without damaging operator’s benefit (amount of the offloaded traffic) at the same time. We propose a multi-armed bandit (MAB)-based online offloading scheme (MABOO) to solve the problem and prove the near-optimality of MABOO in terms of the utility theoretically. Extensive simulations show that MABOO always approaches the optimal scheme and achieves higher utility as well as offloads more traffic compared with the minimal payment and on-the-spot-offloading schemes.
Differential pulmonary in vitro toxicity of two small-sized polyvinylpyrrolidone-coated silver nanoparticles

ABSTRACT Silver nanoparticles (AgNP), with their important properties, are being used in a range of sectors from industry to medicine, leading to increased human exposure. Hence, their toxicity potential needs to be comprehensively evaluated. It was postulated that within small-sized (≤20 nm) polyvinylpyrrolidone-coated silver nanoparticles (PVP-AgNP), minor size differences may significantly induce different toxicity profiles and involve varying cellular pathways. Therefore, the aim of this study was to examine the influence of differing size AgNP with 10 nm (AgNP10) and 20 nm (AgNP20) (up to 100 µg/ml), as well as to ionic silver as AgNO3 for 24 and 48 h, using the human lung cell line A549. The effects on cell viability, proliferation, apoptosis, DNA damage and cell cycle dynamics were assessed. Results for both time periods showed that for low concentrations (<5 µg/ml), AgNP20 were more cytotoxic than AgNP10, however, at higher doses, AgNP10 exhibited higher toxicity. For concentrations >50 µg/ml, AgNP10 induced severe DNA damage (comet class 3–4), cell cycle arrest at G2 phase and late-stage apoptosis, while AgNP20 induced cell cycle arrest at S phase and an increase in the percentage sub-G1, which did not recover after 48 h, and late-stage apoptosis/necrosis. In longer-term exposures, the greater impairment in colony formation due to AgNP exposure than to silver ion supports that nanotoxicity is not exclusively due to the released ion. Data suggest that toxicity mediated by small AgNP (≤20 nm) in lung cells is not only dependent on the level of particle internalization, but also on AgNP size and concentration, which may involve varying pathways as targets.
The association between Selenium and Prostate Cancer: a Systematic Review and Meta-Analysis

Background: Evidence of relationship between selenium and prostate cancer has been inconsistent. The present meta-analysis was conducted to determine relationship between selenium and prostate cancer. Methods: A systematic review and meta-analysis was carried out using preferred reporting items for systematic reviews and meta-analysis (PRISMA). We searched PubMed, Scopus, Web of Science, ScienceDirect, Embase, CINAHL, Cochrane Library, EBSCO and Google scholar search engines and the reference lists of the retrieved papers for relevant data, without any limitation regarding language or time until 2016. Heterogeneity among studies was evaluated using Q test and I2 Index. Finally, a random effects model was used for combining results using STATA software version 11.1. P<0.05 was considered significant. Results: Thirty-eight studies including 36,419 cases and 105,293 controls were included in the final analysis. The pooled relative risk (RR) of relation between selenium and prostate cancer was 0.86 (95% Confidence Interval [CI]:0.78-0.94). Sub-group analyses based on case-control, cohort, and RCT studies gave values of 0.89 (95% CI: 0.80-1.00), 0.77 (95% CI: 0.52-1.14) and 0.90 (95% CI: 0.74-1.09), respectively. RRs based on serum, plasma and nail samples were 0.69 (95% CI: 0.51-0.95), 0.85 (95% CI: 0.61-1.17), 0.66 (95% CI: 0.41-1.05), respectively. According to 10 studies, investigated the relation between advanced prostate cancer and selenium in which the RR was 0.67 (95% CI: 0.52-0.87). Conclusions: This meta-analysis indicated that selenium most probably has a protective role against development of prostate cancer and its progression to advanced stages. Therefore, selenium supplementation can be proposed for prevention of prostate cancer.
Extension of signal-to-noise ratio measurement method to byte-by-byte side-channel attack

Signal-to-noise ratio (SNR) of side-channel traces leaked from cryptographic ICs can be a candidate of system-designer-friendly design index in security evaluation against the side-channel attack (SCA). A method to calculate SNR of side-channel traces from measured side-channel traces was proposed for the scenario of the byte-by-byte attack on AES cryptographic circuits. The proposed method was a simple extension of an SNR calculation method for the brute force attack scenario proposed in a previous study. Measured SNRs according to the methods were validated by comparison with analytical formulas. Results suggested that the proposed method could provide SNRs of side-channel traces accurately.
A balancing method for low Ron and high Vth normally-off GaN MISFET by preserving a damage-free thin AlGaN barrier layer

Partially AlGaN recessed scheme based on selective area growth was experimentally demonstrated to improve the performance of normally-off GaN MISFET. The damage-free thin AlGaN barrier layer with lower Al-content in recessed region contributes to a positive Vth shift compared with the reference one (from 1.8 V to 2.5 V). At the same time this method realizes a high peak μκΣ of 2033 cm2/V·s and a low gate channel sheet resistance of 519 Ω/□ (@Vg = 12 V), which is a significant improvement compared with the fully recessed-gate device. The higher Al-contents AlGaN barrier layer regrown in accessed region is adopted to maintain high-conductivity 2DEG transport property. As a result, a maximum drain current of 645 mA/mm and a low on-resistance of 6.8 Ω-mni are obtained. The GaN MISFET also exhibits a low hysteresis, low gate leakage and slight current collapse. This technique could fabricate very promising normally-off GaN devices by designing thickness and Al-content of the controllable-growth thin AlGaN barrier layer.
Electrospun polyurethane microfiber membrane on conductive textile for water-supported textile electrode in continuous ECG monitoring application

Recently, the embroidered water reservoir on the conductive textile electrodes has been introduced for physiological signal detection. Such electrode system requires water vapor to be continuously evaporated from a water reservoir through a semi-permeable membrane to conductive textile, thereby lowering contact impedance at the skin-electrode interface. To further simplify the fabrication process of this system, our group proposes to directly fabricate water-supported layer from electrospun polyurethane (PU) microfiber on conductive textile electrodes. Both aligned PU microfiber membrane and randomly oriented PU microfiber membrane are well deposited on silver-coated conductive textile without impeding water vapor transport. With our water-support layer, wet textile electrodes have comparable contact impedance as silver/silver chloride (Ag/AgCl) electrodes and successfully record electrocardiogram (ECG) signals with high signal-to-noise ratio Thus, our electrospun PU microfiber membrane for the water- supported system on the textile electrode is promising for ECG monitoring application.