Miracle-dz/UniFAR-FTUs huggingface dataset:
The Digitisation of Bollywood: Adapting to Disruptive Innovation

This article explores the impact of digitisation on the Indian film industry clustered around the metropolis of Mumbai known as Bollywood. It seeks to examine the opportunities and challenges posed by the digital and Internet revolution and how industry players exploit these opportunities and surmount the challenges. The ideas presented in the article were first developed through discussions with Bollywood executives and media researchers based in Mumbai. Extensive secondary research of related academic and trade publications was then carried out for corroboration and validation. Three test cases of leading players in the Bollywood digital media-space are presented to corroborate the analysis. The article concludes that the challenges confronting Bollywood are a result of disruptions brought on by digitisation: its impact on key stakeholders in the value chain, the moves made by these stakeholders to exploit digitisation, the resultant pressure on other players in the value chain, and finally, the changes that affect existing business models. The article hence attempts to provide a snapshot of the sweeping changes transforming Bollywood as it embraces the disruptive innovation of digitisation.
Development of a Model to Evaluate the Potential of 5G Technology for Latency-critical Applications in Production

Latency-critical applications in production promise to be essential enablers for performance improvement in production. However, they require the right and often wireless communication system. 5G technology appears to be an effective way to achieve communication system for these applications. Its estimated economic benefit on production gross domestic product is immense ($740 billion Euro until 2030). However, 55% of production companies state that 5G technology deployment is currently not a subject matter for them and mainly state the lack of knowledge on benefits as a reason. Currently, it is missing an approach or model for a use case specific, data-based evaluation of 5G technology influence on the performance of production applications. Therefore, this paper presents a model to evaluate the potential of 5G technology for latency-critical applications in production. First, we derive requirements for the model to fulfill the decision-makers' needs. Second, we analyze existing evaluation approaches regarding their fulfillment of the derived requirements. Third, based on outlined research gaps, we develop a model fulfilling the requirements. Fourth, we give an outlook for further research needs.
Enhanced Cross Component Sample Adaptive Offset for AVS3

Cross-component prediction has great potential for removing the redundancy of multi-components. Recently, cross-component sample adaptive offset (CCSAO) was adopted in the third generation of Audio Video coding Standard (AVS3), which utilizes the intensities of co-located luma samples to determine the offsets of chroma sample filters. However, the frame-level based offset is rough for various content, and the edge information of classified samples is ignored. In this paper, we propose an enhanced CCSAO (ECCSAO) method to further improve the coding performance. Firstly, four selectable 1-D directional patterns are added to make the mapping between luma and chroma components more effectively. Secondly, one four-layer quad-tree based structure is designed to improve the filtering flexibility of CCSAO. Experimental results show that the proposed approach achieves 1.51%, 2.33% and 2.68% BD-rate savings for All-Intra (AI), Random-Access (RA) and Low Delay B (LD) configurations compared to AVS3 reference software, respectively. A subset improvement of ECCSAO has been adopted by AVS3.
Macular Microvasculature Is Associated With Total Cerebral Small Vessel Disease Burden in Recent Single Subcortical Infarction

Purpose To assess the retinal microvasculature, choriocapillaris, and choroidal thickness in recent single subcortical infarction (RSSI) patients compared with healthy controls. We also assessed the correlation between the macular microvascular changes and choroidal changes with their clinical implications in RSSI patients. Methods Forty-six RSSI patients and 39 healthy controls (HC) were enrolled in our study. Magnetic resonance imaging (MRI) was done for all RSSI patients, and a total cerebral small vessel disease (CSVD) score was assessed for all patients. Swept-source optical coherence tomography (SS-OCT) was used to image and assess the choroidal thickness and SS-OCT angiography (SS-OCTA) was used to image and assess the macular microvasculature and choriocapillaris in all participants. Clinical information was collected for all participants. Results RSSI patients showed significantly sparser inner retinal microvasculature (P = 0.003) when compared with healthy controls. RSSI patients showed significantly thinner choroidal thickness (P < 0.001) when compared with HC. No significant difference (P = 0.247) was seen when the choriocapillaris was compared between the two groups. CSVD burden (P = 0.014) and NIHSS score (P = 0.010) showed significant correlation with the inner retinal microvasculature of RSSI patients. The inner retinal microvasculature (P = 0.016) and choroidal thickness (P = 0.018) showed a significant correlation with the MoCA scores in RSSI patients. Conclusions Our report suggests that retinal and choroidal imaging may serve as useful indicators to expand our understanding of RSSI and its clinical validity.
Bodily Illusions and Motor Imagery in Fibromyalgia

Fibromyalgia (FM) is characterised by chronic, continuous, widespread pain, often associated with a sense of fatigue, non-restorative sleep and physical exhaustion. Due to the nature of this condition and the absence of other neurological issues potentially able to induce disorders in body representations per se, it represents a perfect model since it provides an opportunity to study the relationship between pain and the bodily self. Corporeal illusions were investigated in 60 participants with or without a diagnosis of FM by means of an ad hoc devised interview. In addition, motor imagery was investigated and illusions relating to body part movements and changes in body size, feelings of alienness, and sensations of body parts not belonging to one’s own body (disownership and somatoparaphrenic-like sensations) were found. Crucially, these symptoms do not correlate with any of the clinical measures of pain or functional deficits. The results showed that motor imagery was also impaired, and the severity of the deficits found correlated with the functional impairment of the participant. This indicates that disorders in body representations and motor imagery are part of the clinical expression of FM. However, while motor imagery seems to be linked to reduced autonomy and functional deficits, bodily illusions are independent and potentially represent a concurrent symptom.
Investigation the Effect of Nano Silica Dioxide Additives on the Properties of Epoxy Resin for Using in Industrial Applications

The addition of ceramic nanoparticles to the polymer resin enhances the performance of the composite, enabling the use of such materials in industries such as automobiles and aircraft. This work aims to evaluate the characteristics of epoxy resins by introducing (1%, 3%, 5%, and 7% wt. nano dioxide silica). Using the "hand lay-up " process, about 125 samples were prepared for conducting tests (Hardness, Tensile strength, Impact, Water Absorption) and analyzing results by (SPSS-Scheff). The addition of 7% nano-silica dioxide particles to epoxy considerably raises the hardness values (85.350+.5150 shore D), according to the hardness results. The best average values of the tensile strength and impact (292± 2.828MPa, 54.00 ± 2.828 J/m2) were at the samples (Epoxy- 3% nano-silica dioxide) when compared with other samples. The values of elongation at break reduce through rising concentration, weight fractions of nano-silica dioxide in epoxy, and the best average values of the elongation at break (3.150± .2300 %) were at the samples (Epoxy- 1% nano-silica dioxide). The percentage of water absorption values improved by increasing the weight fraction concentrations of nano-silica dioxide in epoxy, and the best water absorption percentage was (.017 ±.003414%) in the samples (epoxy-1% nano-silica dioxide). Statistically, very large variations were observed of hardness, tensile strength, elongation at break, impact strength, and water absorption (Sig 0.01, 0.04, 0.003, 0.02, and 0.002) respectively, and this indicates an improvement in the properties when addition nano-silica dioxide to the epoxy resin
Are you influenced?: modeling the diffusion of fake news in social media

We propose an approach inspired by the diffusion of innovations theory to model and characterize fake news sharing in social media through the lens of the different levels of influential factors (users, networks, and news). We address the problem of predicting fake news sharing as a classification task and demonstrate the potentials of the proposed features by achieving an AUROC of 0.97 and an average precision of 0.88, consistently outperforming baseline models with a higher margin (about 30% of AUROC). Also, we show that news-based features are the most effective at predicting real and fake news sharing, followed by the user- and network-based features.
Birth Experience Mediates the Association Between Fear of Childbirth and Mother-Child-Bonding Up to 14 Months Postpartum: Findings From the Prospective Cohort Study DREAM

Objective To explore the longitudinal associations between prepartum fear of childbirth (FOC), birth experience, and postpartum mother-child-bonding, and the potential mediator role of the birth experience. Design Women from the prospective cohort study DREAM completed questionnaires during pregnancy, 8 weeks, and 14 months after the birth. Participants A community sample of n = 645 pregnant women from a large city in Eastern Germany participated in the study. Results In a regression analysis, FOC predicted negative birth experience (β = 0.208, p < 0.001) which in turn predicted poorer mother-child-bonding both at 8 weeks (β = 0.312, p < 0.001) and 14 months postpartum (β = 0.200, p < 0.001). FOC also predicted mother-child-bonding at 14 months postpartum (β = 0.098, p < 0.05). Of note, this association was mediated by birth experience both at 8 weeks, indirect effect ab = 0.065, 95% CI [0.036, 0.098], and 14 months postpartum, indirect effect ab = 0.043, 95% CI [0.023, 0.067]. These effects remained stable even when adjusting for potential confounders. Key Conclusions This study suggests that the association between FOC and mother-child-bonding is mediated by birth experience, pointing to the importance of a woman's positive subjective experience. Implications for Practice Findings reveal two targets for peripartum interventions for women at risk for poor mother-child-bonding, namely the implementation of FOC screenings during pregnancy, and birth experience as mediating factor between FOC and mother-child-bonding. Focusing on the mother's subjective birth experience could aid to identify women at risk for impaired bonding who might need additional support.
Few-shot Adversarial Audio Driving Talking Face Generation

Talking-face generation is an interesting and challenging problem in computer vision and has become a research focus. This project aims to generate real talking-face video sequences, especially lip synchronization and head motion. In order to create a personalized talking-face model, these works require training on large-scale audio-visual datasets. However, in many practical scenarios, the personalized appearance features, and audio-video synchronization relationships need to be learned from a few lip synchronization sequences. In this paper, we consider it as a few-shot image synchronization problem: synthesizing talking-face with audio if there are additionally a few lip-synchronized video sequences as the learning task? We apply the reptile methods to train the meta adversarial networks and this meta-model could be adapted on just a few references sequences and done quickly to learn the personalized references models. With meta-learning on the dataset, the model can learn the initialization parameters. And with few adapt steps on the reference sequences, the model can learn quickly and generate highly realistic images with more facial texture and lip-sync. Experiments on several datasets demonstrated significantly better results obtained by our methods than the state-of-the-art methods in both quantitative and quantitative comparisons.
The oncogene FOXQ1 is a selective activator of Wnt/β-catenin signalling

The forkhead box transcription factor FOXQ1 is aberrantly induced in various cancers, and contributes to tumour growth and metastasis. It has been suggested that FOXQ1 exacerbates cancer by activating the oncogenic Wnt/β-catenin signalling pathway. However, the mode of action of FOXQ1 in the Wnt pathway remains to be resolved. Here, we report that FOXQ1 is a bimodal transcriptional activator of Wnt target gene expression in normal and cancer cells. Using co-immunoprecipitation, proximity proteomics, and reporter assays, we show that FOXQ1 engages the Wnt transcriptional complex to promote gene expression via TCF/LEF transcription factors. In parallel, FOXQ1 differentially regulates the expression of Wnt target genes independently of β-catenin and TCF/LEFs, which is facilitated by spatially separated activator and repressor domains. Our results suggest that FOXQ1 is a novel component of the Wnt transcriptional complex that reinforces and specifies Wnt signalling in a context-dependent manner.
A model for optimizing article recommendation for reducing polarization

Online social networks have been charged with enhancing and augmenting polarization in society. This polarization can have negative repercussions on the health of both individuals and society on the whole. Hence, it is vital that our online social networks are powered by algorithms that avoid polarisation and seek to curtail it. One target would be the curated news feed supplied to users in online social networks. In this paper, we present a stochastic dynamic programming (SDP) model that seeks to recommend articles to users with the aim of simultaneously retaining their subscription whilst reducing polarization. We also present heuristics to approximate the solution alongside an empirical comparison of the optimal vis-a-vis these heuristics. We find that, in general, recommending articles that tend towards neutrality has a positive effect in reducing polarization under our SDP model.
Identifying influential nodes using overlapping modularity vitality

It is of paramount importance to uncover influential nodes to control diffusion phenomena in a network. In recent works, there is a growing trend to investigate the role of the community structure to solve this issue. Up to now, the vast majority of the so-called community-aware centrality measures rely on non-overlapping community structure. However, in many real-world networks, such as social networks, the communities overlap. In other words, a node can belong to multiple communities. To overcome this drawback, we propose and investigate the "Overlapping Modularity Vitality" centrality measure. This extension of "Modularity Vitality" quantifies the community structure strength variation when removing a node. It allows identifying a node as a hub or a bridge based on its contribution to the overlapping modularity of a network. A comparative analysis with its non-overlapping version using the Susceptible-Infected-Recovered (SIR) epidemic diffusion model has been performed on a set of six real-world networks. Overall, Overlapping Modularity Vitality outperforms its alternative. These results illustrate the importance of incorporating knowledge about the overlapping community structure to identify influential nodes effectively. Moreover, one can use multiple ranking strategies as the two measures are signed. Results show that selecting the nodes with the top positive or the top absolute centrality values is more effective than choosing the ones with the maximum negative values to spread the epidemic.
Challenges on Diagnoses and Assessments Related to Autism Spectrum Disorder in Brazil: A Systematic Review

Being a continental country, with over 210 million citizens, Brazil is similar to all of those who are part of the LAMIC (Low and middle income countries). It shows a big concentration of wealth, mainly in its south and southeast regions, as well as areas with immense poverty. In that sense, the health system also faces a huge amount of contrast. Inside University hospitals and facilities there are sophisticated tools and trained doctors prepared to assist in any kind of medical subject, including autism. But, unfortunately, at other times, the access to a good health system is made much harder. This results in many issues in the medical community, e.g., looking at the data regarding autism, there is a high average of the age of diagnosis. Another issue is the low number of professionals trained in ASD diagnosis and the few tools translated to Portuguese.
Interleukin-25-Mediated-IL-17RB Upregulation Promotes Cutaneous Wound Healing in Diabetic Mice by Improving Endothelial Cell Functions

Diabetic foot ulcer (DFU) frequently leads to non-traumatic amputation and finally even death. However, the mechanism of DFU is not fully understood. Interleukin 25 (IL-25), an alarmin cytokine that responds to tissue injury, has been reported to participate in tissue regeneration and maintaining glucose homeostasis. However, the role of IL-25 in diabetic wound healing remains unknown. Here, we showed that interleukin 17 receptor B (IL-17RB), the functional receptor of IL-25, was significantly inhibited in the wound skin of both diabetic patients with DFU and streptozotocin (STZ)-induced diabetic mice. Topical administration of recombinant IL-25 protein improved angiogenesis and collagen deposition in the wound bed and thus ameliorated delayed diabetic wound healing. IL-25 increased endothelial-specific CD31 expression in diabetic wounds and exogenous IL-25 protected endothelial cells from high glucose-impaired cell migration and tube formation in vitro. We further revealed that IL-25-mediated-IL-17RB signaling rescued the downregulation of Wnt/β-catenin pathway both in vivo in diabetic mice and in vitro in HUVECs and induced the phosphorylation of AKT and ERK 1/2 in HUVECs under high glucose conditions. This study defines a positive regulatory role of IL-25-mediated-IL-17RB signaling in diabetic wound healing and suggests that induction of IL-25-mediated-IL-17RB signaling may be a novel therapeutic strategy for treating poor healing diabetic wounds.
The Optimized Formulation of Tamoxifen-Loaded Niosomes Efficiently Induced Apoptosis and Cell Cycle Arrest in Breast Cancer Cells

The aim, as proof of concept, was to optimize niosomal formulations of tamoxifen in terms of size, morphology, encapsulation efficiency, and release kinetics for further treatment of the breast cancer (BC). Different assays were carried out to evaluate the pro-apoptotic and cytotoxicity impact of tamoxifen-loaded niosomes in two BC cells, MDA-MB-231 and SKBR3. In this study, tamoxifen was loaded in niosomes after optimization in the formulation. The formulation of niosomes supported maximized drug entrapment and minimized their size. The novel formulation showed improvement in storage stability, and after 60 days only, small changes in size, polydispersity index, and drug entrapment were observed. Besides, a pH-dependent release pattern of formulated niosomes displayed slow release at physiological pH (7.4) and a considerable increase of release at acidic pH (5.4), making them a promising candidate for drug delivery in the BC treatment. The cytotoxicity study exhibited high biocompatibility with MCF10A healthy cells, while remarkable inhibitory effects were observed after treatment of cancerous lines, MDA-MB-231, and SKBR3 cells. The IC50 values for the tamoxifen-loaded niosomes were significantly less than other groups. Moreover, treatment with drug-loaded niosomes significantly changed the gene expression pattern of BC cells. Statistically significant down-regulation of cyclin D, cyclin E, VEGFR-1, MMP-2, and MMP-9 genes and up-regulation of caspase-3 and caspase-9 were observed. These results were in correlation with cell cycle arrest, lessoned migration capacity, and increased caspase activity and apoptosis induction in cancerous cells. Optimization in the formulation of tamoxifen-loaded niosomes can make them a novel candidate for drug delivery in BC treatment.
Genetic parameters and breeding value stability estimated from a joint evaluation of purebred and crossbred sows for litter weight at weaning.

Authors analysed genetic parameters and breeding value stability in Hungarian Large White (HLW), Hungarian Landrace (HL) pigs and their reciprocal cross (F1) for litter weight at weaning adjusted to 28 days of age. Data was collected by the legal predecessor of the National Food Chain Safety Office between 2001 and 2010. Data preparation was carried out using SAS 9.1. 3 software. The litter weight records of the purebred and crossbred pigs were considered as separate traits. Genetic parameters were estimated by REML method using the VCE 6 software applying two-trait repeatability model. The total number of animal in the pedigree was 138 969. Heritability estimates were low for each breed and the cross. Corresponding values are 0.13 (0.004), 0.10 (0.004) and 0.13 (0.003) and 0.12 (0.002) for HLW, HL and F1 from the two datasets, respectively. Magnitudes of permanent environmental effect were 0.008 for HLW and less than 0.001 for HL and F1. Genetic correlations between purebred and crossbred performances were 0.23 (0.04) from the dataset HLW-F1, and 0.03 (0.008) from the dataset HL-F1. Breeding value stability was low regarding both methods. Number of common representatives from rankings of purebred and crossbred breeding value did not reach the 40 from 100 animals in either breed. The differences between average crossbred breeding values reached a maximum value of 3.47 kg in HLW and 3.16 kg in HL.
COVID-19 in two children with new-onset diabetes: case reports

Delayed diagnosis, low socioeconomic status and infection have been associated with diabetic ketoacidosis (DKA) at type 1 diabetes mellitus presentation. A teenager from a low socioeconomic status family, with longstanding weight loss, polyphagia, polyuria, vomiting and abdominal pain, attended the emergency department, also complaining of anosmia and odynophagia. He was diagnosed with COVID-19 and new-onset DKA. The second child had 2 weeks of diabetes symptoms and was admitted with new-onset mild DKA. SARS-CoV-2 RT-PCR test was positive, although asymptomatic. Persistent hyperglycaemia with high insulin requirements was a common feature to both patients. Both cases support that SARS-CoV-2 may have an association with rapidly increasing insulin daily needs. In case one, not only fear of COVID-19 delayed hospital attendance but also the setting of a low socioeconomic status family appears to have enhanced the risk for late diagnosis and challenging disease management.