Miracle-dz/UniFAR-FTUs huggingface dataset:
Peralkaline Felsic Magmatism of the Atlantic Islands

The oceanic-island magmatic systems of the Atlantic Ocean exhibit significant diversity in their respective sizes, ages, and the compositional ranges of the magmas they have produced. Nevertheless, almost all of the major Atlantic islands and island groups have produced peralkaline felsic magmas, implying that similar petrogenetic regimes may be operating throughout the Atlantic Ocean, and elsewhere. The origins of peralkaline magmas are frequently linked to low-degree partial melting of enriched mantle, followed by protracted differentiation in the shallow crust. Nevertheless, additional petrogenetic processes such as magma mixing, crustal melting, and contamination have been identified at numerous peralkaline centres. The onset of peralkalinity leads to magma viscosities lower than those typical for metaluminous felsic magmas, which has profound implications for processes such as crystal settling. A literature compilation demonstrates trends which suggest that the peralkaline magmas of the Atlantic Ocean islands are generated primarily via extended (up to ~ 95 %), open system fractional crystallisation of mantle-derived mafic magmas. Crustal assimilation is likely to become more significant as the system matures and low-solidus material accumulates in the crust. Magma mixing occurs between mafic and felsic end-members, and also between variably-evolved felsic magmas, and is often recognised via hybridised intermediate magmas. The peralkaline magmas are hydrous, and are frequently zoned in composition, temperature, and/or water content. They are typically stored in shallow crustal magma reservoirs (~ 2 to 5 km), which are maintained by mafic replenishment. Low melt viscosities (1 × 101.77 to 1 × 104.77 Pa s) facilitate two-phase flow, facilitating the formation of alkali-feldspar crystal mush. This mush may then contribute melt to an overlying melt lens via filter pressing or partial melting. We utilise a three stage model to account for the establishment, development, and termination of peralkaline magmatism in the ocean island magmatic systems of the Atlantic. We suggest that the overall control on peralkaline magmatism in the Atlantic is magma flux rate, which controls the stability of upper crustal magma reservoirs. The abundance of peralkaline magmas in the Atlantic suggests that their development must be a common, but not inevitable, stage in the evolution of ocean islands.
Air Born Dust Particles Effects On Microwave Propagation In Arid-Area

Dust storms can degrade visibility and increase atmospheric attenuation. Therefore, microwave (MW) propagation is severely affected by dust storms in many parts of the world. Air-born dust particles may affect electromagnetic waves during a dust storm. In this paper airborn dust particles effects are studied based on measured visibility. Recent analytical and numerical models results are compared to the measured at 14 GHz. Consequently, measured attenuation is significantly greater than the predicted using recent analytical and numerical models.
Graphene Ink-Coated Cotton Fabric-Based Flexible Electrode for Electrocardiography

In this paper, a cotton fabric-based electrode was developed for electrocardiography (ECG) monitoring. In the current healthcare system, silver/silver chloride (Ag/AgCl) electrode is commercially used for ECG monitoring purposes. However, study found that the use of Ag/AgCl electrode has several disadvantages due to the presence of hydrogel. Hence, development of flexible dry electrodes has gained much interest among researchers. This paper reports the fabrication of a flexible cotton fabric-based electrode using graphene ink as the conductive material. Advantages of cotton fabric include great flexibility, easily available and lightweight. The electrode was fabricated using simple dipping and drying method and preliminary result from the experiments conducted shows that the fabricated electrode is sufficiently conductive enough to detect the ECG signal.
Mast cell tetrahydrobiopterin contributes to itch in mice

GTP cyclohydrolase (GCH1) governs de novo synthesis of the enzyme cofactor, tetrahydrobiopterin (BH4), which is essential for biogenic amine production, bioactive lipid metabolism and redox coupling of nitric oxide synthases. Overproduction of BH4 via upregulation of GCH1 in sensory neurons is associated with nociceptive hypersensitivity in rodents, and neuron‐specific GCH1 deletion normalizes nociception. The translational relevance is revealed by protective polymorphisms of GCH1 in humans, which are associated with a reduced chronic pain. Because myeloid cells constitute a major non‐neuronal source of BH4 that may contribute to BH4‐dependent phenotypes, we studied here the contribution of myeloid‐derived BH4 to pain and itch in lysozyme M Cre‐mediated GCH1 knockout (LysM‐GCH1−/−) and overexpressing mice (LysM‐GCH1‐HA). Unexpectedly, knockout or overexpression in myeloid cells had no effect on nociceptive behaviour, but LysM‐driven GCH1 knockout reduced, and its overexpression increased the scratching response in Compound 48/80 and hydroxychloroquine‐evoked itch models, which involve histamine and non‐histamine dependent signalling pathways. Mechanistically, GCH1 overexpression increased BH4, nitric oxide and hydrogen peroxide, and these changes were associated with increased release of histamine and serotonin and degranulation of mast cells. LysM‐driven GCH1 knockout had opposite effects, and pharmacologic inhibition of GCH1 provided even stronger itch suppression. Inversely, intradermal BH4 provoked scratching behaviour in vivo and BH4 evoked an influx of calcium in sensory neurons. Together, these loss‐ and gain‐of‐function experiments suggest that itch in mice is contributed by BH4 release plus BH4‐driven mediator release from myeloid immune cells, which leads to activation of itch‐responsive sensory neurons.
µSnap: Embracing Traditional Programming Models for Persistent Memory through OS Support

With the advent of persistent memory (PM), how to make use of systems that deploy PM is catching interest. Currently known persistent programming models require programs to be rewritten with persistence related primitives or at least recompiled so that persistent mechanisms can be automatically inserted. This is a burden to program developers. Furthermore, executing legacy programs as-is can lead to application and system inconsistencies as unexpected faults occur. In this paper, we propose µSnap, an operating system support that is based on checkpointing that allows legacy applications to be executed as-is in a persistent memory environment without compromising consistency. We measure and quantify the effect of µSnap for a wide range of applications and show that the overhead is small compared to plain execution. We argue that the benefit for paying this small cost can be tremendous in the sense that one can transparently guarantee the consistency of all legacy software written under the traditional programming model. We implement a prototype of µSnap in the Linux kernel version 4.3. 3. For the PARSEC and file system benchmarks that we considered, we find that µSnap overhead for particular applications can be less than 2% compared to applications run without any notion of persistency when checkpointing interval is set to 30 seconds.
Special Session: The Future of IoT Security

The Internet-of-Things (IoT) is a large and complex domain. These systems are often constructed using a very diverse set of hardware, software and protocols. This, combined with the ever increasing number of IoT solutions/services that are rushed to market means that most such systems are rife with security holes. Recent incidents (e.g., the Mirai botnet) further highlight such security issues. With emerging technologies such as blockchain and software-defined networks (SDNs), new security solutions are possible in the IoT domain. In this paper we will explore future trends in IoT security: (a) the use of blockchains in IoT security, (b) data provenance for sensor information, (c) reliable and secure transport mechanisms using SDNs (d) scalable authentication and remote attestation mechanisms for IoT devices and (e) threat modeling and risk/maturity assessment frameworks for the domain.
Second Harmonic Generation: A Non-Destructive Characterization Method for Dielectric-Semiconductor Interfaces

This paper reviews the application of second harmonic generation (SHG) to characterize dielectric-semiconductor interfaces used in microelectronics and photovoltaics. Based on non-linear optics, the method is non-destructive, so particularly advantageous for thin films. The theoretical background shows the possibility to access the electric field at interfaces and consequently to have a non-destructive measurement for interface state densities or fixed charges in oxides. Two more detailed examples of application of SHG characterization will be shown: field-effect passivation of silicon using thin film deposited alumina and interface analysis of silicon-on-insulator substrates.
Correlates of same-sex behavior disclosure to health care providers among Black MSM in the United States: implications for HIV prevention

ABSTRACT Disclosure of same-sex behavior to health care providers (HCPs) by men who have sex with men (MSM) has been argued to be an important aspect of HIV prevention. However, Black MSM are less likely to disclose compared to white MSM. This analysis of data collected in the United States from 2006–2009 identified individual and social network characteristics of Black MSM (n = 226) that are associated with disclosure that may be leveraged to increase disclosure. Over two-thirds (68.1%) of the sample had ever disclosed to HCPs. Part-time employment (AOR = 0.32, 95% CI = 0.11–0.95), bisexual identity (AOR = 0.29, 95% CI = 0.12–0.70), and meeting criteria for alcohol use disorders (AOR = 0.32, 95% CI = 0.14–0.75) were negatively associated with disclosure. Disclosers were more likely to self-report being HIV-positive (AOR = 4.47, 95% CI = 1.54–12.98), having more frequent network socialization (AOR = 2.15, 95% CI = 1.24–3.73), and having a social network where all members knew the participant had sex with men (AOR = 4.94, 95% CI = 2.06–11.86). These associations were not moderated by self-reported HIV status. Future interventions to help MSM identify social network members to safely disclose their same-sex behavior may also help disclosure of same-sex behavior to HCPs among Black MSM.
Educational Data Mining: Classifier Comparison for the Course Selection Process

The education system in India & across the world has shown a horizontal shift instead of vertical development in one specific domain. The Engineering student in current scenario try to accumulate knowledge from various interdisciplinary course’s and develop application in respective area of study [2]–[4]. This interdisciplinary growth can also be supported and compared using various data mining techniques for future prediction and provide a mathematical foundation for the current selection of the course. This paper emphasis on one such study done for opting the open elective course at leading private university. The data mining process review, apply and compare the classification algorithms like K-NN, Support Vector machine with radial basis kernel. The paper also aims at adopting the data mining techniques as the mathematical foundation for the heuristic process being used till date.
Depressive symptoms and time perspective in older adults: associations beyond personality and negative life events

Abstract Objectives: To examine the extent to which time perspective, an individual’s habitual way of relating to the past, the present, and the future time frames, accounts for variations in self-reported depressive symptoms among older adults. Method: Four hundred two participants (60–90 years) completed the Center for Epidemiological Studies Depression scale (CES-D) and the Swedish Zimbardo Time perspective Inventory (S-ZTPI). The influence of personality as reflected by the Temperament and Character Inventory (TCI) and self-reported negative life events (NLEs) were controlled for in hierarchic regression analyses. Results: The six S-ZTPI dimensions accounted for 24.5% of the variance in CES-D scores beyond age and gender. Half of the variance remained when the TCI factors and NLEs were controlled for. Past Negative, Future Negative, and Past Positive (inverse association) were the significant unique predictors. Significant age interactions were observed for two S-ZTPI dimensions, with a diminished association to depressive symptoms for Future Negative and a magnified association for Present Fatalistic with higher age. Conclusions: The results demonstrate a substantial relation between facets of time perspective and depressive symptoms in old age. They also indicate an age-related shift in the relative importance from concerns about of the future (Future Negative) to the present (Present Fatalistic) with increased age. In young old-age, when the future is more ‘open’, future worries (Future Negative) may be a more frequent source of distress. In late senescence, perceived threats to autonomy (e.g. physical health problems and cognitive deficits), as reflected by higher scores on Present Fatalistic, may instead have more bearing on mood state.
Site Survey and Radio Frequency Planning for the Deployment of Next Generation WLAN

Nowadays, Wireless Local Area Networks (WLANs) become a popular solution for networking among computers and other devices within a limited area such as a home, school, computer laboratory, or office building. A WLAN is a wireless network of devices, where two or more devices are connected via wireless links. In this network, users with their devices can able to move around within a coverage area, while they are connected with the network. This WLAN is commonly called as Wifi. Proper deployment of Access Points, Switches, Cables and Connectors and tune between them is the main requirement for efficient and faster communication between computers and devices. To get optimized performance from a WLAN, it is essential to do Site Survey and Radio Frequency (RF) planning before the deployment. In this paper, we present and analyze different techniques of site survey and RF planning. We also suggest a methodology for these, which is needs to be adopted by expert engineers while deploying a WLAN.
Closing in on 5G Control Apps: Enabling Multiservice Programmability in a Disaggregated Radio Access Network

Network slicing is one of the key enablers in providing the required flexibility for realizing the service- oriented fifth-generation (5G) vision and achieving the desired levels of isolation and sharing spanning multiple subnets, i.e., the core network (CN), transport network, and radio access network (RAN). In this article, we highlight the design elements of a proposed RAN runtime slicing system to enable flexible slice customization on top of disaggregated RAN infrastructures.
Concrete hyperheuristic framework for test case prioritization

Test case prioritization (TCP), which aims to find the optimal test case execution sequences for specific testing objects, has been widely used in regression testing. A wide variety of search methodologies and algorithms have been proposed to optimize test case execution sequences, namely, search‐based TCP. However, different algorithms perform differently and have different implementation costs and specific situations where an algorithm usually performs with high effectiveness and efficiency. When facing a new testing scenario, it is actually difficult to decide which algorithm is suitable. In this paper, to address the algorithm selection problem for different test scenarios, a more generally applicable algorithm based on a hyperheuristic strategy is proposed for search‐based TCP. This includes a range of multiobjective algorithms with a variety of crossover strategies and a learning agent strategy to evaluate and select the appropriate algorithm execution sequence dynamically for different scenarios. The concrete hyperheuristic framework for multiobjective TCP is presented with an algorithm's repository in the low level and the learning agent strategy in the higher level. Experiments show that the proposed learning agent strategy can accurately evaluate algorithms in multiobjective problems and select the appropriate algorithm in each iteration.
Indoor Multi-Sensory Self-Supervised Autonomous Mobile Robotic Navigation

Autonomous robotic navigation in indoor environments is fairly challenging and important to industrial environments. Traditional map-based or mapless navigation methods often fail because of the unstructured characteristics of the environments. Recently, imitation learning using DAgger algorithm has been successfully applied to many real-world robotic tasks. However, it needs human operators to give correct control commands without feedback to overcome data distribution mismatch problem, which is always prone to error and expensive. In this paper, we propose a novel solution to eliminate the need of human manual labeling after the initial data collection in the task of imitating to navigate in indoor environments. This solution introduces an imperfect policy based on multi-sensor fusion and a recording policy that only records the data giving the most knowledge to the navigation policy. The recording policy mitigates the affect of learning too much from an imperfect policy. With extensive experiments in indoor environments, we demonstrate that after several iterations of learning, the robot is able to navigate through real-world hallways in both seen and unseen situations safely. In addition, we show that our system achieves near human performance in most of the tasks and even surpasses human performance in one out of three tasks. To the best of our knowledge, this is the first work that utilizes imperfect sensor measurements to perform self-supervised imitation learning in robotic navigation tasks.
Expert Opinion on the Management of Renal Manifestations of Chronic HCV Infection

Chronic HCV infection is a non-traditional (but modifable) risk factor for chronic kidney disease and has been implicated in glomerular injury and nephrosclerotic disease. Three HCV direct-acting antiviral regimens are available for patients with severe kidney impairment: ombi-tasvir, paritaprevir with the pharmacokinetic enhancer ritonavir, and dasabuvir; glecaprevir plus pibrentasvir; and elbasvir plus grazoprevir. In patients with severe kidney impairment, sofosbuvir-free regimens are preferred because sofosbuvir accumulation has been associated with a progressive worsening of renal function. In this Review, we provide our expert opinion on the current HCV treatment paradigm and highlight the remaining issues that need to be overcome to improve the treatment of HCV in this population.
Impact of Antenna Configuration in Three-Dimensional Modulation Using Beam Hopping

three-dimensional modulation using beam hopping (3DModBH) is a new transmission concept in long term evolution advanced (LTE-A) systems to improve system performance and increase its robustness against interference compared to state-of-the-art transmission scheme (SoAT). However, the presence of high user equipment (UE) density interference scenario in the cluster limits the performance of 3DModBH. The promised benefits of 3DModBH in such interference scenario disappear for the system configuration with four receive antennas, showing poorer performance than SoAT. The analytical and numerical results show that 3DModBH is capable to outperform the SoAT in high UE density interference scenario by increasing the number of receive antennas. Furthermore, it has been shown that the new concept achieves significant performance gain in high UE density interference than in low UE density interference scenario compared to SoAT.
Next generation sequencing‐based molecular diagnosis in familial congenital cataract expands the mutational spectrum in known congenital cataract genes

Congenital cataract (CC) is a significant cause of childhood blindness worldwide. CC is a genetically heterogeneous disease because mutations in over 40 genes have been demonstrated to cause the disorder and up to 40% of cases arise from single‐gene mutations. Hence, next generation sequencing (NGS) of deoxyribonucleic acid is a suitable approach for CC molecular diagnosis. In this study, we used commercially available inherited disease NGS panels including 50 CC genes for the genetic diagnosis of 11 probands with hereditary CC. Causal variants were recognized in six families. A novel CRYGC variant, p.(Phe6Ser), was identified in two apparently unrelated families. Two additional novel variants in the crystallin genes CRYBB2 (p.[Gly149Asp]) and CRYGA (p.[Arg48Cys]) were also identified. One family carried the novel p.[Gly8_Leu11del] variant in GJA8, while another family exhibited the previously reported c.2826‐9G>A pathogenic change in EPHA2. Our results illustrate the utility of NGS for diagnosing CC in our population, and our results contribute to expand the mutational spectrum with four novel pathogenic variants in known CC genes.
Systematic Comparison of Vacuum Arc between CuCr and AgWC Electrode by Using Various Optical Technique

Interelectrode phenomena related to intense-mode vacuum arc interruption were systematically compared between CuCr and AgWC electrodes, by using various optical techniques mainly including a Shack-Hartmann method for simultaneous two-dimensional electron and metal vapor density imaging and two-color pyrometry for anode temperature determination after current zero. During the arc period, the electron density for the CuCr was several times higher than that for the AgWC. On the other hand, the metal vapor density for the CuCr was lower than the AgWC during and after the arcing time. The decaying time constants of the metal vapor densities agreed well with those of the anode evaporation speed estimated from the anode temperature measurement. This means that the metal vapor after the intense vacuum arc interruption was not the residual metal medium originating from the arc phase and the supplying process of the metal vapor was the evaporation of anodes.