Miracle-dz/UniFAR-FTUs huggingface dataset:
DNA microarrays - their mode of action and possible applications in molecular diagnostics

DNA microarrays offer the latest technological advancement for multi-gene detection and diagnostics. They were conceived originally to examine gene expression for large numbers of genes [8, 18, 24], but have also been applied to DNA sequence analysis [22], immunology [14], genotyping and diagnostics [6, 10, 27]. In the latter context, they can be used to distinguish between DNA sequences that differ by as little as a single nucleotide polymorphism (SNP) [26]. In addition, their flexibility and high throughput capabilities hold tremendous potential for pathogen detection, identification, and genotyping in molecular diagnostic laboratories. Nevertheless, an important factor in the employment of any technique is cost. High-density arrays may be very valuable in disease diagnosis [1], but at US $500 to US $1,000 per commercial array they are unlikely to see routine use in veterinary medicine. Fortunately, there are a number of low-cost alternatives now available both for array fabrication and detection chemistries.
Does knowing about the long-term health effects of alcohol matter? Evidence from a university sample in Lebanon.

Background Research linking awareness of health effects of alcohol and harmful alcohol drinking status is limited. Aims To investigate the association between awareness of long-term alcohol effects and alcohol use disorders. Methods University students aged 18-25 years (n = 1155) completed a self-filled survey. Participants were asked if they knew that alcohol causes: (1) problems in the liver; (2) cancers of the mouth, throat, oesophagus and breast; (3) damage to the heart; and (4) weakening of the immune system. Multinomial regression analyses were conducted to assess the association between awareness of long-term alcohol effects and alcohol drinking status, including Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) alcohol use disorders. Results One third (32.8%) were past-year drinkers and 18% screened positive for DSM-5 alcohol use disorders. Compared to past-year drinkers with no alcohol use disorders, non-past-year ever drinkers were twice as likely to know about the link between alcohol and cancers of the mouth, throat, oesophagus and breast. Past-year drinkers with an alcohol use disorders were less likely to know about this association. Non-past-year ever drinkers (vs past-year drinkers with no alcohol use disorders) were also 2.6 times more likely to know the alcohol liver risks. Conclusions There is a strong inverse relationship between awareness of the effects of alcohol and harmful consumption among young people, providing preliminary support for the protective nature of knowledge on alcohol drinking status. Efforts to increase public awareness of the long-term health effects of alcohol may be useful in reducing alcohol-related harm.
Virtual Community Building and the Information Society: Current and Future Directions

Although machine translation and translation memories are frequently used in business, they are inadequate to translate a text from a culture to another one. When faced with philosophy, literature or ancient texts, professional translators have to cope with the fact that the most important things to ‘translate’ are often in the style, in details, or even unwritten. We advocate for changing the user interfaces and use patterns of a few computer-assisted translation techniques so that they could fit the interpretative tradition of cultural sciences. In particular, we will focus on what could foster intertextuality and enable the confrontation of different points of view on the same opus (several translators in several languages). Provided as a participative Web platform, our software is designed as a collaboration and debate place for scholars around the world working on the same opus, author, time or genre. At the end of the chapter, this design is confronted with the observation of a face-to-face working session.
If-then plans help regulate automatic peer influence on impulse buying

PurposeThis study aims to take a dual-process perspective and argues that peer influence on increasing impulse buying may also operate automatically. If-then plans, which can automate action control, may, thus, help regulate peer influence. This research extends existing literature explicating the deliberate influence of social norms.Design/methodology/approachStudy 1 (N= 120) obtained causal evidence that forming an implementation intention (i.e. an if-then plan designed to automate action control) reduces peer impact on impulse buying in a laboratory experiment with young adults (students) selecting food items. Study 2 (N= 686) obtained correlational evidence for the role of norms, automaticity and implementation intentions in impulse buying using a large sample of high-school adolescents working on a vignette about clothes-shopping.FindingsIf-then plans reduced impulse purchases in the laboratory (Study 1). Both reported deliberation on peer norms and the reported automaticity of shopping with peers predicted impulse buying but an implementation intention to be thriftily reduced these links (Study 2). Research limitations/implicationsThis research highlights the role of automatic social processes in problematic consumer behaviour. Promising field studies and neuropsychological experiments are discussed.Practical implicationsYoung consumers can gain control over automatic peer influence by using if-then plans, thereby reducing impulse buying.Originality/valueThis research helps understand new precursors of impulse buying in understudied European samples of young consumers.
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection?

Reliable information about the uncertainty of predictions from deep neural networks could greatly facilitate their utilization in safety-critical applications. Current approaches for uncertainty quantiﬁcation usually focus on in-distribution data, where a high uncertainty should be assigned to incorrect predictions. In contrast, we focus on out-of-distribution data where a network cannot make correct predictions and therefore should always report high uncertainty. In this paper, we compare several state-of-the-art uncertainty quantiﬁcation methods for deep neural networks regarding their ability to detect novel inputs. We evaluate them on image classiﬁcation tasks with regard to metrics reﬂecting requirements important for safety-critical applications. Our results show that a portion of out-of-distribution inputs can be detected with reasonable loss in overall accuracy. However, current uncertainty quantiﬁcation approaches alone are not sufﬁcient for an overall reliable out-of-distribution detection.
PROXIMATE AND LIPID PROFILE ANALYSIS OF CULTURED AND WILD AFRICAN CATFISH, Clarias gariepinus [BURCHELL] Taiwo,

As part of ongoing studies on the lipid profile of farmed fishes in our laboratory, this research work is aimed at investigating the proximate chemical composition and lipid profile of the muscles of the African catfish found in Nigerian waters. Crude protein, ash, moisture, and lipid content of the muscles of wild and cultured African catfish were determined using standard methods. Caloric value was also calculated from the lipid and protein content. Lipids in the muscles and livers of the cultured and wild catfish were extracted using the Bligh & Dyer method of lipid extraction. Extracted lipids were then analyzed by gas chromatography to determine the composition and relative abundance of the fatty acids present. The wild catfish contained 77.83 ± 0.88% moisture, 1.20 ± 0.02% ash and 18.76 ± 0.45% protein while the cultured catfish had 75.58 ± 0.88% moisture, 1.20 ± 0.03% ash and 19.33 ± 0.25% protein content, with no significant difference between the wild and cultured catfish. Both wild and cultured African catfish were found to be lean fish (fat content below 5%). Average caloric value was found to be 1204.4 cal/g and 1200.8 cal/g in the wild and cultured catfish respectively. The percentage of total saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA) was higher in the muscles of the cultured catfish (38.86% and 42.83% respectively) than in the muscles of the cultured catfish (36.96% and 41.57% respectively). The cultured African catfish also had more omega-6 polyunsaturated fatty acids (PUFA) than the wild ones, whereas its total omega-3 PUFA was lower. Omega-3 to omega-6 ratios in the wild and cultured catfish were 0.81 and 0.52 respectively. Conclusively, the proximate composition, percentage lipid content and indices of fatty acid content of the wild and the cultured African catfish indicated it to be of both nutritional and physiological benefits to humans.
Domestic Robots for Individuals Living With Loneliness: A Long-Term In-Home Interaction Study Design

A growing area of human-robot interaction explores how robots, for example as companions, can be used to help people manage loneliness. However, we do not yet have research results indicating if people are ready to accept companion robots in their daily lives, and thus if companion robots can actually be successful broadly in society. We present a novel long-term in-home interaction study design that will explore how people accept these robots in their homes and how the robots impact loneliness.
RP 11 ‐ 284 F 21 . 9 promotes lung carcinoma proliferation and invasion via the regulation of miR ‐ 627 ‐ 3 p / CCAR 1

Lung carcinoma is a prominent cause of mortality among patients with cancer. Previous studies have reported the vital role of long non-coding RNAs (lncRNAs) in the malignant progression of lung cancer. lncRNA RP11-284F21.9 was originally identified to be expressed in lung carcinoma, but its specific function remains unknown. Therefore, the present study aimed to elucidate the role of lncRNA RP11-284F21.9 in lung carcinoma progression. The expression of RP11‐284F21.9 in lung cell lines and tissues was measured using reverse transcription‐quantitative PCR. The endogenous expression of RP11-284F21.9 was silenced using RNA interference, and cell viabilities were measured with a Cell Counting Kit‐8 assay. The invasion and apoptosis of cells were determined via Transwell assays and flow cytometry, respectively. The protein expression levels were measured by western blotting. An increased expression of RP11‐284F21.9 was identified in both lung carcinoma tissues and cells. Knockdown of RP11‐284F21.9 in lung carcinoma cells inhibited cell proliferation and invasion, but promoted cell apoptosis. The present study identified the existence of a direct interaction between RP11‐284F21.9 and microRNA (miRNA/miR)-627-3p. Mechanistically, it was demonstrated that RP11-284F21.9 promoted the proliferation and invasiveness of lung carcinoma cells, in part, via the regulation of miR-627-3p. Furthermore, cell division cycle and apoptosis regulator 1 (CCAR1) was identified as a target gene of miR-627-3p. The in vivo tumor growth assay also demonstrated that the knockdown of RP11‐284F21.9 suppressed tumor growth, upregulated miR-627-3p and downregulated CCAR1 in the xenograft model of nude mice. Thus, the present findings indicated the tumor promoting functions of RP11-284F21.9 in the progression of lung carcinoma, and provided a novel lncRNA/miRNA axis as a target for the management of lung cancer.
Patch Information and Estimation: A Cost of Group Foraging

When a group of individuals exploits a single patch, each forager acquires just a fraction of the patch sample information generated by the group. Because of this, individuals in groups may generate less precise patch estimates than solitary foragers. In addition, in cohesive groups, individuals may be forced to abandon a patch they estimate to be of high quality simply because all other group members abandon the patch. I quantify the associated foraging costs of less precise patch estimates and group cohesion by performing a series of Monte Carlo simulations. I compare the performance of a solitary forager with that of three possible patch estimation and departure strategies for group foragers. The three group strategies differ in the amount or kind of patch sample information used to estimate patch quality
Stage 2 Registered Report: How subtle linguistic cues prevent unethical behaviors

Background: Differences in descriptions can influence people’s evaluations and behaviors. A previous study by Bryan and colleagues suggested that subtle linguistic differences in ethical reminders can differentially prevent readers’ unethical behavior. The present study tried to replicate the previous finding in the Japanese context (Experiment 1); additionally, we explored the influence of unfamiliar Japanese instruction words that captured participants’ attention (Experiment 2). Methods: In two online experiments, participants were asked to make 10 coin-tosses and report the number of “heads” results, which would indicate the amount of money that they could earn. In Experiment 1, we analyzed the difference in the number of “heads” results as reported by 768 participants under three conditions with different instructions (“Don’t cheat” vs. “Don’t be a cheater” vs. baseline as a control). In Experiment 2, we conducted an extended experiment with an additional task in which more attention was directed toward the text. Results: In Experiment 1, we successfully replicated the results of the original experiment. The results of Experiment 2 showed no evidence that the results in Experiment 1 were influenced by attentional factors. Conclusions: In conclusion, the results of the present study supported the hypothesis that self-identity-related words of moral reminder curb unethical behaviors more effectively. Stage 1 report: https://doi.org/10.12688/f1000research.20183. 4
Modeling and Analysis of Vehicles Flows on the Road

This study is carried out to describe the behaviour of vehicles flow on the road, in the presence of blocking effects. A non-linear three dimensional system of ordinary differential equations is used to describe vehicles flow on the road. The study classify total vehicles population on the road into three compartments as Free-Slow-Released vehicles. The formulated model is well-posed. The blocking free equilibrium point is globally asymptotically stable. Further, effects of blocking are described using concept of retardation number. That is, blocking effect decrease whenever retardation number is less than one and the blocking effects increase if retardation number is greater than one. Received: 17 January 2020, Revised: 04 May 2020, Accepted: 30 May 2020.
Supplementary Material of “Sparse Shrunk Additive Models”

The proofs of Theorems 1 and 2 involve a integration of techniques for error analysis with integral operator approximation (Smale & Zhou, 2007; Sun & Wu, 2011; Shi, 2013; Nie & Wang, 2015) and the empirical process theory for analyzing kernel methods (Pinelis, 1994; Wu et al., 2007; Christmann & Zhou, 2016). The proof of Theorem 3 follows the analysis technique for sparse characterization (Shi et al., 2011).
Cannabinoids and PPARα signalling

Cannabinoids have been shown to possess anti-inflammatory and neuroprotective properties, which were proposed to occur mainly via activation of the G-protein-coupled receptor CB 1 (cannabinoid receptor 1). Recently, certain cannabinoids have been reported to be ligands for members of the nuclear receptor transcription factor superfamily known as PPARs (peroxisome-proliferator-activated receptors). This review summarizes the evidence for cannabinoid activation of PPARs and identifies a new intracellular target for cannabinoids as therapeutic agents for neuroprotective treatment.
Numerical Study of Polarization-Dependent Emission Properties of Localized-Surface-Plasmon-Coupled Light Emitting Diodes with Ag/SiO2 Nanoparticles

We study polarization-dependent spontaneous emission (SE) rate and light extraction efficiency (LEE) in localized-surface-plasmon (LSP)-coupled light emitting diodes (LEDs). The closely packed seven Ag/SiO2 core-shell (CS) nanoparticles (NPs) lie on top of the GaN surface for LSP coupling with a radiated dipole. According to the dipole direction, both the SE rate and the LEE are significantly modified by the LSP effect at the Ag/SiO2 CS NPs when the size of Ag, the thickness of SiO2, and the position of the dipole source are varied. The enhancement of the SE rate is related to an induced dipole effect at the Ag, and the high LEE is caused by light scattering with an LSP mode at Ag/SiO2 CS NPs. We suggest the optimum position of the quantum well (QW) in blue InGaN/GaN LEDs with Ag/SiO2 CS NPs for practical application.
Extracellular Microvesicles: The Need for Internationally Recognised Nomenclature and Stringent Purification Criteria

Copyright: © 2012 Simpson RJ, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Extracellular microvesicles (eMVs) are a class of membrane bound organelles secreted by various cell types [1]. eMVs include (i) exosomes: 40-100 nm diameter membraneous vesicles of endocytic origin (ii) ectosomes (also referred to as shedding microvesicles, SMVs): large membranous vesicles (50-1000 nm diameter) that are shed directly from the plasma membrane (PM) and (iii) apoptotic blebs (50-5000 nm diameter): released by dying cells. Over the last five years, the field of eMVs has witnessed tremendous growth (more than 3,500 research articles published) mainly due to their purported role in intercellular signaling and possible source of disease biomarkers. Whilst these studies have advanced our understanding of eMVs, two key problems persist that require immediate attention.
A Ring-Oriented Multicast Architecture over Mobile Ad Hoc Sensor networks

Detecting environmental hazards and monitoring remote terrain are among many sensor network applications. In case of fire detection, it is significantly valuable to monitor fire-spot’s shape and trend in time. Mobile ad hoc sensor nodes right round are responsible for sensoring, processing and networking packets, or even launching extinguisher. In this paper, we proposed a ring-oriented Multicast architecture based on “Fisheye State Routing” (MFSR) to organize a group of mobile ad hoc sensor nodes in a multicast way. It is familiar with traditional mesh-based multicast protocol [1] in mobile ad hoc network, trying to concentrates on efficiency and robustness simultaneously. Certain applications-based solution for hazards is proposed, quantitative results including architecture and recovery algorithms of MFSR are also investigated in this paper.
A pr 2 01 6 Model independent analysis of nearly Lévy correlations ∗

A model-independent method for the analysis of two-particle shortrange correlations is presented. It can be utilized to describe such BoseEinstein (HBT), dynamical (ridge) and other correlation functions which have a nearly Lévy or “stretched exponential” shape. For the special case of Lévy exponent α = 1, earlier Laguerre expansions are recovered, while for α = 2 a new expansion is obtained for correlations which are nearly Gaussian in shape. Multidimensional Lévy expansions are also introduced and their potential application to analyze ridge correlation data is discussed.
Nonconventional Diode Clamped Multilevel Inverter with Reduced Number of Switches

The conventional multilevel inverter (MLI) is divided into three types: diode clamped MLI, cascade H Bridge MLI and flying capacitor MLI. The main disadvantage of these types is the higher required number of components when the number of the levels increases and this results in more switching losses, system higher cost, more complex of control circuit as well as less accuracy. The work in this paper proposes two topologies of nonconventional diode clamping MLI three phase nine levels and eleven levels. The first proposed topology has ten switches and six diodes per phase while the second topology has nine switches and four diodes per phase. The pulse width modulation (PWM) control method is used as a control to gate switches. THD of the two proposed topologies are analyzed and calculated according different values of Modulation index (where the power loss and efficiency are obtained and plotted.
The model area in successful lean transformation and scale modeling

The True Lean System Program at the University of Kentucky was created in 1994 to study how the development of the Toyota Production System (TPS) contributes to Toyota’s success. This increased understanding of Toyota’s experience would provide useful guidance to Western companies taking on the challenges of replicating Toyota’s success within their own organizations. The common struggle point shared by the companies who come to us is their inability to establish sustainable TPS-based Lean transformations throughout their organizations. Our work with these companies along with our study of Toyota’s own experience in bringing TPS to its own American operations has led to a belief that a major obstacle to adopting and implementing TPS into Western organizations is a lack of understanding of the essential motivational mechanisms embodied in TPS. It was these motivational factors that originally triggered the creativity and innovation of Toyota’s workforce in the context of Japanese culture. In bringing TPS to America, Fujio Cho recognized the need to pay attention to these same motivational factors with an American workforce, particularly in light of the fundamental cultural differences between Toyota’s Japanese workforce and their Western counterparts. This TPScultural difference needs to be clearly understood to enable Western companies to successfully transform into TPS-driven organizations. TPS is based on a learning-by-doing methodology which has lent itself to a transformative process in which organizations apply the principles of TPS and kaizen in a limited model area before spreading to the entire organization. The result of this application produces a series of incremental (often small) improvements which may be explained with the help of scale modeling principles and methodology. This paper is our first attempt to show the direct applicability of scale modeling concepts/methodology to the model area approach for successful TPS transformation, including the role of standardization and problem solving in Kaizen. i.e. continuous improvement. Our new findings show promising first steps for organizations and TPS/ Lean researchers facing the twin challenges of establishing sustainable TPS/Lean models and subsequently scaling them up along a pathway defined by the needs to achieve full scale TPS/Lean organizational transformations.
Supplementary Material: Adversarial Robustness for Code

Adaptive computation time (ACT) (Graves, 2016) Our GNT model implements the Adaptive Computation Time (ACT) (Graves, 2016) technique which dynamically learns how many computational steps each node requires in order to make a prediction. This is in instead of using a fxed amount of steps as done for example in (Allamanis et al., 2018; Brockschmidt et al., 2019). To achieve this, recall that for each node vi ∈ V in the graph, a graph neural neti work computes sequence of hidden states s where t ∈ N t is the timestep1. Following (Graves, 2016), the number of