Miracle-dz/UniFAR-FTUs huggingface dataset:
Reducing Media Bias in News Headlines

News consumption plays a pivotal role in our lives, but concerns about how media bias affects public opinion and the security of society are on the rise. This paper introduces an innovative framework that leverages machine learning and natural language processing techniques to address the issue of bias in news headlines. Our framework consists of three main components: a bias detector, a bias lexicon construction algorithm, and a word replacement algorithm. We combine these components in a pipeline that connects the processes of bias detection and mitigation, to combat media bias in news headlines, and ultimately contribute to a more balanced and informed media landscape. We evaluate the effectiveness of our approach empirically and emphasize the importance of addressing media bias in the news media.
Dovepress Open Access to Scientific and Medical Research Open Access Full Text Article Central Corneal Thickness in Subjects with Glaucoma and in Normal Individuals (with or without Pseudoexfoliation Syndrome)

Objective: The evaluation of central corneal thickness (CCT) in subjects with pesudoexfoliation glaucoma (PEXG), primary open-angle glaucoma (POAG), and in normotensive individuals with or without pseudoexfoliation syndrome (PXS). Study design/patients and methods: CCT was evaluated with ultrasound pachymetry in a total of 179 individuals: 32 had bilateral PEXG, 55 had bilateral POAG, 35 had PXS, and 57 were healthy individuals without PXS. No statistically significant difference was found comparing CCT values of POAG eyes to control group eyes. Conclusion: The evaluation of CCT is necessary in all patients with glaucoma and especially in those with PEXG due to the thinner cornea and the risk of underestimation of intraocular pressure.
Enhancing Larval Classification Accuracy Through Hyperparameter Optimization in ResNet50 with Three Different Optimizers

Recent research has explored the application of deep learning models in the classification of Zophobas Morio and Tenebrio Molitor larvae, focusing on optimizing the choice of optimizer. This study aimed to investigate and compare the performance of the ResNet50 model using three different optimizers (Adam, Nadam, and Adagrad) for accurate classification of these larvae. We conducted an experimental study, training and evaluating the R model on a dataset of Zophobas Morio and Tenebrio Molitor larvae images using the mentioned optimizers. This study followed a quantitative approach to assess model performance. Our findings indicated that the Adam optimizer yielded the highest accuracy (approximately 97.1%), outperforming Nadam and Adagrad. However, recognizing Tenebrio Molitor still presented challenges, highlighting room for improvement. The results suggest that the choice of optimizer significantly influences the model's performance in larva classification. While Adam showed promising results, further enhancements are needed for accurate Tenebrio Molitor recognition. Future research should explore different deep learning architectures and larger datasets for improved classification outcomes.
Flexible work arrangements: exploring the linkages between perceived usability of flexible work schedules and work/life balance

The relationship between the perceived usability of flexible work schedules and work/life balance was explored with 710 office-based employees. Direct linkages were found between perceived usability of flexible work schedules and the three dimensions of work/life balance (work interference with personal life, personal life interference with work, and work/personal life enhancement). In addition, employees operating under flexitime work schedules displayed significantly higher levels of work/life balance than their counterparts utilising traditional fixed-hour schedules. However, non-significant differences in the levels of work/life balance were found between two other flexible work schedules (flexiplace and job share) and fixed-hour work schedules. Consequently, while individual flexible work schedules may have a marginal overall positive impact on employee work/life balance, the perceived usability and availability of these work schedules appears to be a key element in achieving work/life balance for many office-based employees. The implications for employees, organisations, and future research are discussed.
Assessment of the Genotoxicity of 1,2‐Dichloropropane and Dichloromethane after Individual and Co‐exposure by Inhalation in Mice

Assessment of the Genotoxicity of 1,2‐Dichloropropane and Dichloromethane after Individual and Co‐exposure by Inhalation in Mice: Tetsuya SUZUKI, et al. Division of Health Effects Research, National Institute of Occupational Safety and Health—
Latent Dirichlet Allocation for the Detection of Multi-Stage Attacks

The rapid shift and increase in remote access to organisation resources have led to a significant increase in the number of attack vectors and attack surfaces, which in turn has motivated the development of newer and more sophisticated cyber-attacks. Such attacks include Multi-Stage Attacks (MSAs). In MSAs, the attack is executed through several stages. Classifying malicious traffic into stages to get more information about the attack life-cycle becomes a challenge. This paper proposes a malicious traffic clustering approach based on Latent Dirichlet Allocation (LDA). LDA is a topic modelling approach used in natural language processing to address similar problems. The proposed approach is unsupervised learning and therefore will be beneficial in scenarios where traffic data is not labeled and analysis needs to be performed. The proposed approach uncovers intrinsic contexts that relate to different categories of attack stages in MSAs. These are vital insights needed across different areas of cybersecurity teams like Incident Response (IR) within the Security Operations Center (SOC), the insights uncovered could have a positive impact in ensuring that attacks are detected at early stages in MSAs. Besides, for IR, these insights help to understand the attack behavioural patterns and lead to reduced time in recovery following an incident. The proposed approach is evaluated on a publicly available MSAs dataset. The performance results are promising as evidenced by over 99% accuracy in identified malicious traffic clusters.
Site-Specific Antiatherogenic Effect of the Antioxidant Ebselen in the Diabetic Apolipoprotein E–Deficient Mouse

Objective—Recently we showed that lack of the antioxidant enzyme glutathione peroxidase-1 (GPx1) accelerates atherosclerosis and upregulates proatherogenic pathways in diabetic apoE/GPx1-deficient double-knockout mice, thereby establishing GPx1 as an important therapeutic target. In vivo studies now investigate ebselen, a seleno-organic GPx1-mimetic, for its potential to reduce diabetes-associated atherosclerosis. Methods and Results—Lesions were significantly increased in diabetic apoE−/− aortas (P<0.001) compared with nondiabetic controls after 20 weeks of diabetes. Ebselen-gavage significantly reduced total aortic lesions (P<0.001), with significant regional reductions in the arch (P<0.001), thoracic (P<0.001), and abdominal regions (P<0.05), but not within the aortic sinus of diabetic apoE−/− mice. These reductions were accompanied by significantly lower nitrotyrosine and Nox2 levels, reduced proatherogenic cellularity (macrophages and SMCs), and reduced expression of the proatherogenic mediator RAGE. Within the aortic sinus, ebselen reduced nitrotyrosine, Nox2, and VEGF levels but had no effect on RAGE. Studies in HAECs show that ebselen abrogates H2O2-induced increases in P-IKK, P-JNK, TNF-&agr;, and Nox2. Conclusions—Ebselen reduces atherosclerotic lesions in most regions of diabetic apoE−/− aorta, except within the aortic sinus, suggesting its effectiveness as a potential antiatherogenic therapy in diabetic-macrovascular disease. Ebselen may elicit its effect via modulation of transcription factors such as NF-&kgr;B and AP-1.
A building extraction method using shadow in high resolution multispectral images

Buildings, roads, and squares are all man-made objects which have similar spectral feature. The similarity leads high false alarm rate of building extraction methods that only depend on spectral feature. In high resolution multispectral images, the shadow of buildings are visible, thus, based on the relations of buildings and shadow, this paper proposes a shadow detection method, extracts building sample points exactly depending on shadow using the similarity of angle between shade line and shadow line in one image, then perfectly achieves building extraction. The method reduces the difficulty of classifying buildings from other similar man-made objects, moreover, the detection accuracy is greatly improved.
Towards the adoption of electronic word of mouth in social commerce

With the emergence of social commerce and online networking, it has additional useful information to share their perspectives on the internet. Much the same as the word of mouth share in this present reality, the electronic word of mouth (eWOM) exist in the essential communities and plays further significant responsibility in customers' day to day activities. It is also being used as a tool of e-promoting for some organizations. Therefore, understanding how consumers adopt eWOM becomes very important issues. The aim of this research is to examine the influence affecting factors of consumer adoption of eWOM in social commerce, and how individual utilize the online reviews information contained. The model of this study was developed using dual process which involve information adoption model (IAM) to examine the factors affecting consumer adoption of eWOM in social commerce. The result from the literature shows that eWOM adoption in social commerce relies on accuracy, sufficiency, validity & understandability of an argument quality and also competence, trustworthiness & experience depends on source credibility. Moreover, in the relationship between source credibility and the information usefulness the moderating influence of recommendation consistency exist.
Real-time texture-mapped vector glyphs

We present a vector graphics representation suitable for real-time rendering on GPUs. Our representation can be used in place of a texture map, and renders precise antialiased edges at any magnification. A combination of texture data and procedural computation is used to evaluate an exact signed distance to a contour and its gradient. An optimized uniform grid accelerator is created using Voronoi analysis and redundancy elimination, so only the distances to a small constant number of features need be computed at every access. Contours and sharp features can be exactly reconstructed using a constant amount of computation per pixel. Our representation supports inexpensive high-quality anisotropic antialiasing as well as special effects such as outlining (with both rounded and sharp miters) and embossing.We have applied our representation to the important application of glyph rendering. Variations in glyph complexity are handled by storing different glyphs at different grid resolutions. Large blocks of glyphs can be rendered efficiently with a single indirection through an index texture.
Association between 1p11-rs11249433 Polymorphism and Breast Cancer Susceptibility: Evidence from 15 Case-Control Studies

Genome-wide association studies have identified SNP rs11249433 at chromosome 1p11 as a new breast cancer (BC) susceptibility locus in populations of European descent. Since then, the relationship between 1p11- rs11249433 and breast cancer has been reported in various ethnic groups; however, these studies have yielded inconsistent results. To investigate this inconsistency, we performed a meta-analysis of 15 studies involving a total of 90,154 cases and 137,238 controls for 1p11-rs11249433 polymorphism to evaluate its effect on genetic susceptibility for breast cancer. An overall random effects odds ratio of 1.09 (95% CI: 1.06-1.12, P<10-5) was found for rs11249433-G variant. Significant results were also observed for heterozygous (OR=1.09, 95% CI: 1.05-1.12, P<10-5) and homozygote (OR=1.14, 95% CI: 1.08-1.21, P<10-5). There was strong evidence of heterogeneity, which largely disappeared after stratification by ethnicity. After stratiﬁed by ethnicity, significant associations were found among Caucasians. However, no significant associations were detected among East Asian and African populations. In addition, we found that rs11249433 polymorphism on 1p11 confer risk, exclusively for ER-positive tumors with per-allele OR of 1.13 (95% CI: 1.08-1.18; P <10-5) compared to ER-negative tumors of 1.01 (95% CI: 0.98-1.04; P=0.49). Similar results were also observed when stratified by PR status. Our findings demonstrated that rs11249433-G allele is a risk-conferring factor for the development of breast cancer, especially in Caucasians.
What Can IRBs Learn From CABs? A Qualitative Analysis of the Experiences of Recruitment and Training of Nonscientist Members on Research Review Boards

Governments, funders, and institutional policies increasingly encourage and even mandate the involvement of nonscientists in the ethical review of research, most famously in institutional review boards (IRBs), but also on community advisory boards (CABs) and other committees that contribute to research governance. In spite of these requirements, few have examined how different factors such as recruitment strategies, training, and different qualifications shape the contributions of nonscientists to the research enterprise. This pilot study begins to fill in this lacuna by interviewing nonscientist members of IRBs and community members of CABs. Results suggest patterned differences in demographics, recruitment strategies, training, and perceived qualifications between community members on these two types of boards with potential implications for how we perceive the scope of contributions that nonscientists can provide to the ethical review of research and the strategic ways these contributions can be elicited.
Presynaptic plasticity at two giant auditory synapses in normal and deaf mice

Large calyceal synapses are often regarded as simple relay points, built for high‐fidelity and high‐frequency synaptic transmission and a minimal requirement for synaptic plasticity, but this view is oversimplified. Calyceal synapses can exhibit surprising activity‐dependent developmental plasticity. Here we compare basal synaptic transmission and activity‐dependent plasticity at two stereotypical calyceal synapses in the auditory pathway, the endbulb and the calyx of Held. Basal synaptic transmission was more powerful at the calyx than the endbulb synapse: the amplitude of evoked AMPA receptor‐mediated excitatory postsynaptic currents (eEPSCs) was significantly greater at the calyx, as were the release probability, and the number of release sites. The quantal amplitude was smaller at the calyx, consistent with the smaller amplitude of spontaneous miniature EPSCs at this synapse. High‐frequency trains of stimuli revealed that the calyx had a larger readily releasable pool of vesicles (RRP), less tetanic depression and less asynchronous transmitter release. Activity‐dependent synaptic plasticity was assessed in congenitally deaf mutant mice (dn/dn). Previously we showed that a lack of synaptic activity in deaf mice increases synaptic strength at the endbulb of Held via presynaptic mechanisms. In contrast, we have now found that deafness does not affect synaptic transmission at the calyx synapse, as eEPSC and mEPSC amplitude, release probability, number of release sites, size of RRP, tetanic depression and asynchronous release were unchanged compared to normal mice. Synaptic transmission at the calyx synapse is more powerful and has less capacity for developmental plasticity compared to the endbulb synapse.
Concomitant differentiation of a population of mouse embryonic stem cells into neuron‐like cells and schwann cell–like cells in a slow‐flow microfluidic device

Background: To send meaningful information to the brain, an inner ear cochlear implant (CI) must become closely coupled to as large and healthy a population of remaining spiral ganglion neurons (SGN) as possible. Inner ear gangliogenesis depends on macrophage migration inhibitory factor (MIF), a directionally attractant neurotrophic cytokine made by both Schwann and supporting cells (Bank et al., 2012). MIF‐induced mouse embryonic stem cell (mESC)‐derived “neurons” could potentially substitute for lost or damaged SGN. mESC‐derived “Schwann cells” produce MIF, as do all Schwann cells (Huang et al., a; Roth et al., 2007; Roth et al., 2008) and could attract SGN to a “cell‐coated” implant. Results: Neuron‐ and Schwann cell–like cells were produced from a common population of mESCs in an ultra‐slow‐flow microfluidic device. As the populations interacted, “neurons” grew over the “Schwann cell” lawn, and early events in myelination were documented. Blocking MIF on the Schwann cell side greatly reduced directional neurite outgrowth. MIF‐expressing “Schwann cells” were used to coat a CI: Mouse SGN and MIF‐induced “neurons” grew directionally to the CI and to a wild‐type but not MIF‐knockout organ of Corti explant. Conclusions: Two novel stem cell–based approaches for treating the problem of sensorineural hearing loss are described. Developmental Dynamics 246:7–27, 2017. © 2016 Wiley Periodicals, Inc.
Assisted reproductive technologies do not enhance the variability of DNA methylation imprints in human

Background Assisted reproductive technologies (ART) such as in vitro fertilisation (IVF) and intracytoplasmic sperm injection (ICSI) are believed to destabilise genomic imprints. An increased frequency of Beckwith–Wiedemann syndrome in children born after ART has been reported. Other, mostly epidemiological, studies argue against this finding. Objective To examine the effect of ART on the stability of DNA methylation imprints, DNA was extracted from maternal peripheral blood (MPB), umbilical cord blood (UCB) and amnion/chorion tissue (ACT) of 185 phenotypically normal children (77 ICSI, 35 IVF, and 73 spontaneous conceptions). Using bisulfite based technologies 10 differentially methylated regions (DMRs) were analysed, including KvDMR1, H19, SNRPN, MEST, GRB10, DLK1/MEG3 IG-DMR, GNAS NESP55, GNAS NESPas, GNAS XL-alpha-s and GNAS Exon1A. Results Methylation indices (MI) do not reveal any significant differences at nine DMRs among the conception groups in neither MPB, UCB nor in ACT. The only slightly variable DMR was that of MEST. Here the mean MI was higher in UCB and MPB of IVF cases (mean MI±SD: 0.41±0.03 (UCB) and 0.40±0.03 (MPB)) compared to the ICSI (0.38±0.03, p=0.003 (UCB); 0.37±0.04, p=0.0007 (MPB)) or spontaneous cases (0.38±0.03, p=0.003 (UCB); 0.38±0.04, p=0.02 (MPB)). Weak but suggestive correlations between DMRs were, however, found between MPB, UCB and ACT. Conclusion This study supports the notion that children conceived by ART do not show a higher degree of imprint variability and hence do not have an a priori higher risk for imprinting disorders.
An overview of a Lagrangian method for analysis of animal wake dynamics

SUMMARY The fluid dynamic analysis of animal wakes is becoming increasingly popular in studies of animal swimming and flying, due in part to the development of quantitative flow visualization techniques such as digital particle imaging velocimetry (DPIV). In most studies, quasi-steady flow is assumed and the flow analysis is based on velocity and/or vorticity fields measured at a single time instant during the stroke cycle. The assumption of quasi-steady flow leads to neglect of unsteady (time-dependent) wake vortex added-mass effects, which can contribute significantly to the instantaneous locomotive forces. In this paper we review a Lagrangian approach recently introduced to determine unsteady wake vortex structure by tracking the trajectories of individual fluid particles in the flow, rather than by analyzing the velocity/vorticity fields at fixed locations and single instants in time as in the Eulerian perspective. Once the momentum of the wake vortex and its added mass are determined, the corresponding unsteady locomotive forces can be quantified. Unlike previous studies that estimated the time-averaged forces over the stroke cycle, this approach enables study of how instantaneous locomotive forces evolve over time. The utility of this method for analyses of DPIV velocity measurements is explored, with the goal of demonstrating its applicability to data that are typically available to investigators studying animal swimming and flying. The methods are equally applicable to computational fluid dynamics studies where velocity field calculations are available.
A Study of Deep Learning to Sentiment Analysis on Word of Mouth of Smart Bracelet

With the rise of social networking, many consumers are willing to particulate in discussions on the social media, and to share and to express their comments for certain products. Enterprises can analyze the consumers’ preferences and the strengths and weaknesses of diverse products on the market with a large number of online reviews. However, few studies have been made at applying deep learning to the sentiment analysis on word of mouth of smart bracelet in Chinese reviews. The purpose of this research is to explore the impact of online word of mouth on the consumers of smart bracelets and propose a long short-term memory (LSTM) recurrent neural network (RNN) deep learning model to the sentiment analysis on word of mouth of smart bracelets. The experiment results of sentiment analysis on word of mouth of smart bracelet show that the 89.92% accuracy based on the deep learning is significantly higher than the 70.67% on the Naïve Bayes algorithm and the 66.01% on the support vector machine. The contributions of this paper are two-fold. First, we have proposed an approach with deep learning to sentiment analysis on the word of mouth of smart bracelets. The experimental results show that the proposed deep learning approach can effectively enhance the accuracy of sentiment analysis. Second, through the text analysis, we have constructed a sentiment dictionary called iTSBSD for the word of mouth of smart bracelets in Chinese reviews on Taobao.
Home-Box based collaborative caching strategy: An asset for Content Delivery Networks

Within the Future Internet, a new trend is foreseen with the creation of overlay networks composed of residential gateways (i.e. Home-Box), leveraging their storage and upload capacity in order to achieve scalable and cost-efficient content distribution. In this paper, we highlight an architecture of such a home-box overlay for Video On Demand (VOD) services, in cooperation with a network-aware request redirection and content caching strategy that optimize the resource usage at both network and client side to reduce the overall distribution cost. The proposed system is compared to existing solutions through comprehensive simulations. The results demonstrate the strong advantage of introducing such a network-aware and popularity-based caching strategy in terms of cost reduction for VOD services, especially for Content Delivery Networks.