Miracle-dz/UniFAR-FTUs huggingface dataset:
Taxonomic and functional diversity of mollusk assemblages in a tropical rocky intertidal zone

2020 DOI 10.1590/1678-4766e2020027 ABSTRACT. We investigated the spatial variation of molluscan assemblages with different habitat-forming species and bare rock habitat in a rocky intertidal zone in northeastern Brazil. The high intertidal zone substrate was covered predominantly of barnacles [ Chthamalus bisinuatus (Pilsbry, 1916)], the mid-intertidal of mussels [ Brachidontes exustus (Linnaeus, 1758)] and the low intertidal of macroalgae chlorophytes [ Gayralia oxysperma (Kützing) K. L. Vinogradova ex Scagel et al. , 1989 and Ulva lactuca Linnaeus, 1753], phaeophytes [ Sargassum vulgare C. Agardh] and rhodophytes [ Palisada flagellifera (J.Agardh) K. W. Nam, 2007]. A total of 3,861 mollusks were recorded, belonging to the classes Gastropoda (9 species; 3,800 individuals), Bivalvia (3 spp.; 54 ind.), and Polyplacophora (1 sp.; 7 ind.). Functional diversity was accessed through the trophic structure, in which we identified food guilds: suspension feeders, grazers, herbivores, and carnivores. The analysis revealed significant differences in mollusk abundance, species richness, diversity indices, and trophic diversity among barnacle belts, mussel beds, algae habitat, and bare rock habitats. The highest species richness and trophic diversity were detected in algae habitat and mussel beds, which showed low abundance. In contrast, barnacle belts registered low species richness and trophic diversity and a high number of individuals. Bare rock recorded low values in all surveyed indices. This result points to the effect of environmental modification caused by habitat-forming species in this system. These species increase environmental complexity and enable the establishment of organisms through facilitation processes. The various food guilds found in this study reaffirm the role of habitat-forming species in providing niches that support
Problematic mobile Phone use . review of literature Problemowe używanie telefonu komórkowego . Przegląd literatury

Introduction: The aim of this paper is to present a review of the medical studies on problematic mobile phone use (PMPU) and determine whether cell phone addiction really exists. The Medline database was reviewed for medical articles on PMPU. The following phrases have been used for this purpose: “cell-phone addiction”, “problematic mobile phone use”, “smartphone dependence”, “excessive mobile phone use”. The authors focused on medical articles published in 1979, 1983 and between 1992 and 2018 that fulfil the following criteria: 1) review papers, 2) retrospective and prospective studies, 3) clinical reports on epidemiology, risk factors, symptomatology, neuroimaging, comorbidity with other mental disorders (including other behavioural addictions) as well as therapy of PMPU. Review of literature: It is advisable that scientific literature avoid the term “cell phone/smartphone addiction” in favour of more adequate terms like: Streszczenie
The Role of Noncoding RNAs in Double-Strand Break Repair

Genome stability is constantly threatened by DNA lesions generated by different environmental factors as well as endogenous processes. If not properly and timely repaired, damaged DNA can lead to mutations or chromosomal rearrangements, well-known reasons for genetic diseases or cancer in mammals, or growth abnormalities and/or sterility in plants. To prevent deleterious consequences of DNA damage, a sophisticated system termed DNA damage response (DDR) detects DNA lesions and initiates DNA repair processes. In addition to many well-studied canonical proteins involved in this process, noncoding RNA (ncRNA) molecules have recently been discovered as important regulators of the DDR pathway, extending the broad functional repertoire of ncRNAs to the maintenance of genome stability. These ncRNAs are mainly connected with double-strand breaks (DSBs), the most dangerous type of DNA lesions. The possibility to intentionally generate site-specific DSBs in the genome with endonucleases constitutes a powerful tool to study, in vivo, how DSBs are processed and how ncRNAs participate in this crucial event. In this review, we will summarize studies reporting the different roles of ncRNAs in DSB repair and discuss how genome editing approaches, especially CRISPR/Cas systems, can assist DNA repair studies. We will summarize knowledge concerning the functional significance of ncRNAs in DNA repair and their contribution to genome stability and integrity, with a focus on plants.
Perspective: Connecting Climate Action with other Sustainable Development Goals

The international community has agreed to separate but interconnected commitments to combat climate change, and achieve 17 Sustainable Development Goals (SDGs) by 2030. Here we explore (dis)connections in evidence and governance between one set of commitments and the other. Our review of relevant evidence suggests that the impacts of climate change can undermine achievement of 16 SDGs, while action to address climate change can reinforce all 17 SDGs but also undermine efforts to achieve 12. Understanding of these relationships should be reinforced through interdisciplinary work between academic disciplines and evidence-synthesis initiatives. Governance processes and structures for climate change and other sustainable development challenges need to be better connected to maximize the legitimacy and effectiveness of action in both domains. The emergence around the world of coordinated institutions and planning for sustainable development is a promising step towards that end.
Customer Perception towards Service Quality in Indian Telecommunication Industry

Customers are the hearts of any industry. Telecommunication being a service oriented industry always puts priority to find ways of making customers happy and satisfied. Sensing this importance, this study was conducted to determine what makes customers perception towards service quality of Telecommunication Industry. Researchers confined the study within sathyamanagalam, in tamil nadu. A structured questionnaire developed based on previous works was distributed among 100 customers who were selected conveniently for the study. A customer perception model was developed including variables taken from the extensive review of previous literature. Those variables are responsiveness, reliability, assurance, tangibility, empathy, perceived network quality. Model was tested using SPSS, statistical software package, and found personal and market factor, perceived quality, perceived value and company image statistically significant.
Title Suppression of ABHD2, identified through a functional genomics screen, causes anoikis resistance, chemoresistance and poor prognosis in ovarian cancer

Anoikis resistance is a hallmark of cancer, and relates to malignant phenotypes, including chemoresistance, cancer stem like phenotypes and dissemination. The aim of this study was to identify key factors contributing to anoikis resistance in ovarian cancer using a functional genomics screen. A library of 81 000 shRNAs targeting 15 000 genes was transduced into OVCA420 cells, followed by incubation in soft agar and colony selection. We found shRNAs directed to ABHD2, ELAC2 and CYB5R3 caused reproducible anoikis resistance. These three genes are deleted in many serous ovarian cancers according to The Cancer Genome Atlas data. Suppression of ABHD2 in OVCA420 cells increased phosphorylated p38 and ERK, platinum resistance, and side population cells (p<0.01, respectively). Conversely, overexpression of ABHD2 decreased resistance to anoikis (p<0.05) and the amount of phosphorylated p38 and ERK in OVCA420 and SKOV3 cells. In clinical serous ovarian cancer specimens, low expression of ABHD2 was associated with platinum resistance and poor prognosis (p<0.05, respectively). In conclusion, we found three novel genes relevant to anoikis resistance in ovarian cancer using a functional genomics screen. Suppression of ABHD2 may promote a malignant phenotype and poor prognosis for women with serous ovarian cancer.
Idiosyncratic Tail Risk and the Credit Spread Puzzle

This paper studies the asset pricing implications of idiosyncratic labor income tail risk on credit spread. I propose a model featuring an incomplete market, heterogeneous households with recursive preference, and comovement of tail risk in labor income and firm cash flow growth. The model produces strong covariation of households' marginal utility and default rates, which helps to explain the stylized fact that the credit spread (1) is on average large and (2) is positively related to labor tail risk. Quantitatively, the tail risk premium can account for as much as 68% of the observed credit spread. My framework provides a new insight, drawn from an option perspective, that the implications of idiosyncratic tail risk for stocks and bonds can be very different.
Dynamic handover algorithm with interference cancellation in 5G networks for emergency communication

The integration of 5G networks with cognitive radio (CR) technology enables the software‐defined networking (SDN) infrastructure to support emergency applications. In future, CR can be integrated with 5G and many wireless networks like Wi‐Fi, WSN, and MANET for efficient spectrum utilization with higher data rate and lower latency. This CR technology allows unlicensed users to access the licensed spectrum, whenever it is free. In this paper, an efficient SDN architecture with cognitive ability for emergency network is proposed in which the SDN controller prolong communication between disaster victims and first responders and so the first responders can arrive at the spot directly and rescue the victims. The SDN controller has cognitive ability so that the victims can utilize the vacant licensed band to communicate with the first responders, thereby improving the spectrum utilization of the network. Another two main challenges during emergency are the occurrence of interference and link failure. The proposed dynamic handover algorithm with interference cancellation (DHAIC) cancels the interference between the nodes inside the network and performs dynamic handoff, whenever link failure occurs between the cluster head (CH) and the controller. An optimum throughput and minimal delay is achieved to ensure the network performance.
EXPLAINING ISSUES RELATING TO ISLAMIC MICROFINANCE SUSTAINABILITY: AFRICAN PERSPECTIVE

1 PhD Scholar, Institute of Islamic Banking and Finance, IIBF, International Islamic university of Malaysia, Email: fatismed95@yahoo.fr 2 Associate professor, Institute of Islamic Banking and Finance, IIBF, International Islamic university of Malaysia, Email: ksalina@iium.edu. my 3 PhD Scholar, Institute of Islamic Banking and Finance, IIBF, International Islamic university of Malaysia, Email: ejazaslam95@gmail.com 4 Labuan Faculty of Finance, Universiti Malaysia Sabah Labuan International Campus. Email: haneffa@ums.edu. my 5 Assistant professor, Institute of Islamic Banking and Finance, IIBF, International Islamic university of Malaysia, Email: anwar315a@yahoo.com
ETERNAL: Uma estratégia eficiente de tolerância a falhas utilizando memória não volátil

In-memory DBMSs have proven to be an efficient alternative for managing large volumes of data. They’re characterized by using RAM as their primary storage medium. However, such systems need nonvolatile storage to ensure the durability of its transactions. Byte addressable non-volatile memories (NVRAM) are ideal candidates for securing such a property because they have access times close to traditional RAM memory but still guarantee data persistence. In order to address the problem of transaction durability in main memory DBMSs, this paper proposes ETERNAL, a durability architecture that makes efficient use of nonvolatile memory, improving the process performance of persistence in such DBMSs. Experiments reveal that ETERNAL provides a higher throughput than the write-ahead logging (WAL) approach. It is also noteworthy that, even using nonvolatile memory as a storage medium, the WAL approach does not have a mechanism to deal with the scenario in which nonvolatile memory runs out. Resumo. SGBDs em memória principal têm se mostrado como alternativa eficiente para o gerenciamento de grandes volumes de dados. Eles caracterizam-se por utilizar memória RAM como seu meio de armazenamento primário. No entanto, tais sistemas precisam de armazenamento não-volátil para garantir a durabilidade de suas transações. Memórias não-voláteis endereçáveis por byte (NVRAM) são candidatas ideais para assegurar tal propriedade, pois possuem tempo de acesso próximo ao de memória RAM tradicional, mas ainda assim garantem a persistência dos dados. A fim de atacar o problema da durabilidade de transações em SGBDs em memória, este trabalho propõe ETERNAL, uma arquitetura de durabilidade que faz o uso eficiente de memória não-volátil, melhorando o desempenho do processo de persistência em tais SGBDs. Os experimentos revelam que ETERNAL provê um throughput superior a abordagem de escrita antecipada em log (WAL). Destaca-se ainda o fato, que, mesmo utilizando memória não-volátil como meio de armazenamento, a abordagem WAL não possui um mecanismo para lidar com o cenário em que a memória não volátil se esgota.
Accurately Capturing Speech Feature Distributions by Extending Supervectors for Robust Speaker Recognition

Supervectors represent speaker-speciﬁc Gaussian Mixture Models which are enrolled from a Universal Background Model (UBM) and approximate the unknown, underlying speech feature distributions. But as supervectors only consist of the stacked means of the Gaussian components, low-dimensional i-vectors which are derived from them do not completely capture the true feature distributions. In this work, the classical supervectors are extended with additional parameters before reducing their dimension to capture the feature distributions more accurately and complement the i-vectors more effectively. To extend a super-vector, the mixture weights, the log-likelihood values of the UBM, a Bhattacharyya-distance based kernel and the Hellinger distance between each enrolled Gaussian component and the corresponding one of the UBM are used. In closed-set speaker identiﬁcation experiments conducted on the NTIMIT corpus which consists of telephone quality speech, the extended supervectors provide signiﬁcantly lower error rates than the standard supervectors, even after fusing them with i-vectors and the UBM.
Complex Correntropy with Variable Center: Definition, Properties, and Application to Adaptive Filtering

The complex correntropy has been successfully applied to complex domain adaptive filtering, and the corresponding maximum complex correntropy criterion (MCCC) algorithm has been proved to be robust to non-Gaussian noises. However, the kernel function of the complex correntropy is usually limited to a Gaussian function whose center is zero. In order to improve the performance of MCCC in a non-zero mean noise environment, we firstly define a complex correntropy with variable center and provide its probability explanation. Then, we propose a maximum complex correntropy criterion with variable center (MCCC-VC), and apply it to the complex domain adaptive filtering. Next, we use the gradient descent approach to search the minimum of the cost function. We also propose a feasible method to optimize the center and the kernel width of MCCC-VC. It is very important that we further provide the bound for the learning rate and derive the theoretical value of the steady-state excess mean square error (EMSE). Finally, we perform some simulations to show the validity of the theoretical steady-state EMSE and the better performance of MCCC-VC.
Approximating Information Measures for Fields

We supply corrected proofs of the invariance of completion and the chain rule for the Shannon information measures of arbitrary fields, as stated by Dębowski in 2009. Our corrected proofs rest on a number of auxiliary approximation results for Shannon information measures, which may be of an independent interest. As also discussed briefly in this article, the generalized calculus of Shannon information measures for fields, including the invariance of completion and the chain rule, is useful in particular for studying the ergodic decomposition of stationary processes and its links with statistical modeling of natural language.
The roots of the Sociomaterial Thinking in Information Systems Research: a View on History and Methodology

Researchers who want to adopt a sociomaterial approach often find themselves confused regarding research methods. The paper argues that this confusion can only be clarified through understanding the history and emergence of the sociomaterial thinking. The paper briefly reviews the roots of the sociomaterial thinking in the reference discipline of sociology and information systems. It invites researchers to seek methodological guidance from the wealth of knowledge that have been accumulated over the years.
Entropy Generation and Consequences of Binary Chemical Reaction on MHD Darcy–Forchheimer Williamson Nanofluid Flow Over Non-Linearly Stretching Surface

The current article aims to present a numerical analysis of MHD Williamson nanofluid flow maintained to flow through porous medium bounded by a non-linearly stretching flat surface. The second law of thermodynamics was applied to analyze the fluid flow, heat and mass transport as well as the aspects of entropy generation using Buongiorno model. Thermophoresis and Brownian diffusion is considered which appears due to the concentration and random motion of nanoparticles in base fluid, respectively. Uniform magnetic effect is induced but the assumption of tiny magnetic Reynolds number results in zero magnetic induction. The governing equations (PDEs) are transformed into ordinary differential equations (ODEs) using appropriately adjusted transformations. The numerical method is used for solving the so-formulated highly nonlinear problem. The graphical presentation of results highlights that the heat flux receives enhancement for augmented Brownian diffusion. The Bejan number is found to be increasing with a larger Weissenberg number. The tabulated results for skin-friction, Nusselt number and Sherwood number are given. A decent agreement is noted in the results when compared with previously published literature on Williamson nanofluids.
Secrecy outage probability of inter‐vehicular cognitive radio networks

Herein, we consider an underlay cognitive radio network (CRN) where mobile secondary user wishes to transmit a confidential information to the secondary destination in the presence of an illegitimate eavesdropper which is trying to steal the classified message signal. The proposed scenario can be viable for a secondary safety task force working with a primary regiment, which wishes to transmit the confidential information to the commander while an eavesdropper is trying to intercept the classified information. In the analysis, two novel power allocation methods are considered by assuming perfect and limited feedback channels of the primary network, and for both methods, exact and asymptotic expressions of secrecy outage probability (SOP) are derived for N*Nakagami‐m fading channels which are used to model fading channels such as mobile‐to‐mobile/vehicle‐to‐vehicle communication systems where the nodes are moving into a rich scattering environment. We further verified our analytic results through Monte‐Carlo simulations. It is shown from the numerical results that the cascading degree of the channels has a worsening effect on the secrecy outage performance of the CRN systems.
Energy Disaggregation Using Elastic Matching Algorithms

In this article an energy disaggregation architecture using elastic matching algorithms is presented. The architecture uses a database of reference energy consumption signatures and compares them with incoming energy consumption frames using template matching. In contrast to machine learning-based approaches which require significant amount of data to train a model, elastic matching-based approaches do not have a model training process but perform recognition using template matching. Five different elastic matching algorithms were evaluated across different datasets and the experimental results showed that the minimum variance matching algorithm outperforms all other evaluated matching algorithms. The best performing minimum variance matching algorithm improved the energy disaggregation accuracy by 2.7% when compared to the baseline dynamic time warping algorithm.
THREE-PORT PATTERN DIVERSITY ANTENNA MODULE FOR 5.2 GHZ CEILING-MOUNTED WLAN ACCESS POINTS

In this paper, a three-port pattern diversity antenna with a Fabry-Perot cavity (FPC) using a partially reflective surface (PRS) for 5.2 GHz Wireless Local Area Network (WLAN) access points is proposed. The topology of three coaxial-fed circular patch antennas provides an initial beam tilt of 15◦. The PRS aperture, at a height of approximately λ/2, is then shaped in such a way for the antenna to radiate at 0◦,+25◦,−25◦, which results in total coverage of 90◦. The antenna system has an impedance bandwidth of 2% ranging from 5.16 GHz to 5.25 GHz (90 MHz bandwidth), covering the IEEE 802.11a band, for a gain of 10 dBi throughout the band and across the ports. The shaped PRS structure provides a gain enhancement of 4.5 dB. The mutual coupling between any two ports in the three-port antenna system is less than 20 dB for a port-to-port distance of 0. 67λ.
THE EFFECTS OF INTRATHECAL APPLICATION OF ZD7288,AN HCN BLOCKER,ON MECHANICAL ALLODYNIA OF NEUROPATHIC PAIN MODEL RATS

Objective: To observe the antinociceptive effects of intrathecal application of ZD7288,a specific HCN channel blocker.Methods: L_5/L_6 spinal nerves in Wistar rats were ligated to set up chronic neuropathic pain model,operated chronic catheterization into the spinal subarachnoid space for ZD7288 application,and measured the 50% paw withdrawal threshold(PWT) to observe the antinociceptive response.Results: After spinal nerve ligation(SNL),intrathecal injection of ZD7288 at 30 μg per rat significantly increased the 50% PWT,but there was no effect if the doses were 15 or 7.5 μg. ZD7288 could result in motor deficits when its dose was higher than 60 μg. ZD7288 produced much better analgesic effects at the early stage(5 or 14 days after SNL) than in the late stage(28 days after SNL). Conclusion: Intrathecal administration of ZD7288 could significantly relieve mechanical allodynia in neuropathic pain rats with SNL,suggesting the possible role of HCN channels in spinal dorsal horn in neuropathic pain.