Miracle-dz/UniFAR-FTUs huggingface dataset:
A data-driven framework for investigating customer retention

This study presents a data-driven simulation framework in order to understand customer behaviour and therefore improve customer retention. The overarching system design methodology used for this study is aligned with the design science paradigm. The Social Media Domain Analysis (SoMeDoA) approach is adopted and evaluated to build a model on the determinants of customer satisfaction in the mobile services industry. Furthermore, the most popular machine learning algorithms for analysing customer churn are applied to analyse customer retention based on the derived determinants. Finally, a data-driven approach for agent-based modelling is proposed to investigate the social effect of customer retention. The key contribution of this study is the customer agent decision trees (CADET) approach and a data-driven approach for Agent-Based Modelling (ABM). The CADET approach is applied to a dataset provided by a UK mobile services company. One of the major findings of using the CADET approach to investigate customer retention is that social influence, specifically word of mouth has an impact on customer retention. The second contribution of this study is the method used to uncover customer satisfaction determinants. The SoMeDoA framework was applied to uncover determinants of customer satisfaction in the mobile services industry. Customer service, coverage quality and price are found to be key determinants of customer satisfaction in the mobile
Transfer Learning on fMRI Datasets

We explore transferring learning between fMRI datasets. A method is introduced to improve prediction accuracy on a primary fMRI dataset by jointly learning a model using other secondary fMRI datasets. We assume the secondary datasets are directly or indirectly linked to the primary dataset through sets of partially shared subjects. This method is particularly useful when the primary dataset is small. Using six fMRI datasets linked by various subsets of shared subjects, we show that the method yields improved performance in various predictive tasks. Our tests are performed on a variety of regions of interest in the brain and across various stimuli.
Review wnt Signaling Pathway in Non – Small Cell Lung Cancer

Wnt/β-catenin alterations are prominent in human malignancies. In non–small cell lung cancer (NSCLC), β-catenin and APC mutations are uncommon, but Wnt signaling is important in NSCLC cell lines, and Wnt inhibition reduces proliferation. Overexpression of Wnt-1, -2, -3, and -5a and of Wnt-pathway components Frizzled-8, Dishevelled, Porcupine, and TCF-4 is common in resected NSCLC and is associated with poor prognosis. Conversely, noncanonical Wnt-7a suppresses NSCLC development and is often downregulated. Although β-catenin is often expressed in NSCLCs, it was paradoxically associated with improved prognosis in some series, possibly because of E-cadherin interactions. Downregulation of Wnt inhibitors (eg, by hypermethylation) is common in NSCLC tumor cell lines and resected samples; may be associated with high stage, dedifferentiation, and poor prognosis; and has been reported for AXIN, sFRPs 1–5, WIF-1, Dkk-1, Dkk-3, HDPR1, RUNX3, APC, CDX2, DACT2, TMEM88, Chibby, NKD1, EMX2, ING4, and miR-487b. AXIN is also destabilized by tankyrases, and GSK3β may be inactivated through phosphorylation by EGFR. Preclinically, restoration of Wnt inhibitor function is associated with reduced Wnt signaling, decreased cell proliferation, and increased apoptosis. Wnt signaling may also augment resistance to cisplatin, docetaxel, and radiotherapy, and Wnt inhibitors may restore sensitivity. Overall, available data indicate that Wnt signaling substantially impacts NSCLC tumorigenesis, prognosis, and resistance to therapy, with loss of Wnt signaling inhibitors by promoter hypermethylation or other mechanisms appearing to be particularly important. Wnt pathway antagonists warrant exploration clinically in NSCLC. Agents blocking selected specific β-catenin interactions and approaches to increase expression of downregulated Wnt inhibitors may be of particular interest.
Sea Ice and Migration of the Dolphin and Union Caribou Herd in the Canadian Arctic: An Uncertain Future

Les caribous ( Rangifer tarandus groenlandicus × pearyi ) du troupeau Dolphin-et-Union migrent en passant sur la glace de mer entre l’ile Victoria et la partie continentale adjacente de l’Arctique canadien deux fois par annee, se dirigeant vers le sud a l’automne et au debut de l’hiver, et vers le nord a la fin de l’hiver et au printemps. En raison des temperatures plus chaudes, la glace de mer entre l’ile Victoria et la partie continentale se forme maintenant de huit a dix jours plus tard qu’en 1982, ce qui a pour effet de soulever des questions sur les incidences de la formation tardive de la glace sur l’ecologie du troupeau. Nous avons examine les mouvements des caribous femelles de Dolphin-et-Union pendant qu’elles traversaient la glace de mer a l’aide de quatre ensembles de donnees obtenus par colliers-satellites (46 caribous) entre 1987 et 2006. Depuis la fin des annees 1980, les caribous de Dolphin-et-Union se deplacent vers le debut d’octobre vers la cote sud de l’ile Victoria, ou ils transitent jusqu’a ce que la formation de la glace permette la migration pour passer l’hiver sur la partie continentale. Les caribous qui passent l’ete plus au nord sur l’ile Victoria arrivent a la cote plus tard, ce qui a pour effet de raccourcir le temps qu’ils passent en halte migratoire. Au cours de la periode visee par l’etude, les caribous dotes d’un collier commencaient a traverser des que la formation de la glace le permettait. La plupart des caribous partaient de quelques endroits et avaient tendance a partir des memes endroits d’une annee a l’autre. Le taux de mortalite etait le plus eleve pendant les traversees de l’automne et du debut de l’hiver, ainsi que vers le milieu et la fin de l’hiver. Notre etude souleve la question a savoir comment les caribous de Dolphin-et-Union vont reussir a soutenir la chasse si les traversees deviennent de plus en plus risquees pour eux ou si les migrations saisonnieres entre l’ile Victoria et la partie continentale sont interrompues.
The Folk Theorem in Repeated Games with Discounting or with Incomplete Information

AbstractWhen either there are only two players or a “full dimensionality” condition holds, any individually rational payoff vector of a one-shot game of complete information can arise in a perfect equilibrium of the infinitely-repeated game if players are sufficiently patient. In contrast to earlier work, mixed strategies are allowed in determining the individually rational payoffs (even when only realized actions are observable). Any individually rational payoffs of a one-shot game can be approximated by sequential equilibrium payoffs of a long but finite game of incomplete information, where players' payoffs are almost certainly as in the one-shot game. (This abstract was borrowed from another version of this item.)
Probability-Revealing Samples

In the most popular distribution testing and parameter estimation model, one can obtain information about an underlying distribution D via independent samples from D. We introduce a model in which every sample comes with the information about the probability of selecting it. In this setting, we give algorithms for problems such as testing if two distributions are (approximately) identical, estimating the total variation distance between distributions, and estimating the support size. The sample complexity of all of our algorithms is optimal up to a constant factor for sufficiently large support size. The running times of our algorithms are near-linear in the number of samples collected. Additionally, our algorithms are robust to small multiplicative errors in probability estimates. The complexity of our model lies strictly between the complexity of the model where only independent samples are provided and the complexity of the model where additionally arbitrary probability queries are allowed. Our model finds applications where once a given element is sampled, it is easier to estimate its probability. We describe two scenarios in which all occurrences of each element are easy to explore once at least one copy of the element is detected.
Spatiotemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment

The recently developed video multi-method assessment fusion (VMAF) framework integrates multiple quality-aware features to accurately predict the video quality. However, the VMAF does not yet exploit important principles of temporal perception that are relevant to the perceptual video distortion measurement. Here, we propose two improvements to the VMAF framework, called spatiotemporal VMAF and ensemble VMAF, which leverage perceptually-motivated space–time features that are efficiently calculated at multiple scales. We also conducted a large subjective video study, which we have found to be an excellent resource for training our feature-based approaches. In rigorous experiments, we found that the proposed algorithms demonstrate the state-of-the-art performance on multiple video applications. The compared algorithms will be made available as a part of the open source package in https://github.com/Netflix/vmaf.
Podoplanin, α-Smooth Muscle Actin or S100A4 Expressing Cancer-Associated Fibroblasts Are Associated with Different Prognosis in Colorectal Cancers

The interactions between the tumor microenvironment and tumor cells determine the behavior of the primary tumors. Whether cancer-associated fibroblasts (CAF) have a tumor progressive or a protective role likely depends on the type of tumor cells and the CAF subpopulation. In the present study, we analyzed the prognostic significance of CAF subpopulations in colorectal cancer (CRC). CAF phenotypes were analyzed in 302 CRC patients by using antibodies against podoplanin (PDPN), α-smooth muscle actin (α-SMA), and S100A4. The relationship between the CAF phenotypes and 11 clinicopathological parameters were evaluated and their prognostic significance was analyzed from the disease-free and overall survival times. We observed that at the tumor invasive front, PDPN CAFs were present in 40% of the cases, and S100A4 or α-SMA CAFs were detected in all the cases. PDPN/S100A4 and α-SMA/S100A4 dual-stained CAFs were observed in 10% and 40% of the cases, respectively. The PDPN+ CAFs were associated with 6 favorable clinicopathological parameters and prolonged disease-free survival time. The PDPN-/α-SMAhigh CAFs were associated with 6 aggressive clinicopathological parameters and tended to exhibit shorter disease-free survival time. On the other hand, the PDPN-/S100A4high CAFs were associated with 2 tumor progression parameters, but not with disease prognosis. The PDPN+ CAF phenotype is distinct from the α-SMA or S100A4 CAFs in that it is associated with less aggressive tumors and a favorable prognosis, whereas the PDPN-/α-SMAhigh or PDPN-/S100A4high CAFs are associated with tumor progression in CRC. These findings suggest that CAFs can be a useful prognostic biomarker or potential targets of anti-cancer therapy in CRC.
Modelling and managing knowledge through dialogue: a model of communication-based knowledge management

In this paper, we describle a model that relies on the following assumption; ontology negotiation and creation is necessary to make knowledge sharing and KM successful through communication. We mostly focus on the modifying process, i.e. dialogue, and we show a dynamic modification of agents knowledge bases could occur through messages exchanges, messages being knowledge chunks to be mapped with agents KB. Dialogue takes account of both success and failure in mapping. We show that the same process helps repair its own anomalies. We describe an architecture for agents knowledge exchange through dialogue. Last we conclude about the benefits of introducing dialogue features in knowledge management.
Protein Binding Microarrays for the Characterization of Protein-DNA Interactions

A number of important cellular processes, such as transcriptional regulation, recombination, replication, repair, and DNA modification, are performed by DNA binding proteins. Of particular interest are transcription factors (TFs), which through their sequence-specific interactions with DNA binding sites, modulate gene expression in a manner required for normal cellular growth and differentiation, and also for response to environmental stimuli. Despite their importance, the DNA binding specificities of most DNA binding proteins still remain unknown, since prior technologies aimed at identifying DNA-protein interactions have been laborious, not highly scalable, or have required limiting biological reagents. Recently a new DNA microarray-based technology, termed protein binding microarrays (PBMs), has been developed that allows rapid, high-throughput characterization of the in vitro DNA binding site sequence specificities of TFs, other DNA binding proteins or synthetic compounds. DNA binding site data from PBMs combined with gene annotation data, comparative sequence analysis, and gene expression profiling, can be used to predict what genes are regulated by a given TF, what the functions are of a given TF and its predicted target genes, and how that TF may fit into the cell’s transcriptional regulatory network.
90‐90‐90‐Plus: Maintaining Adherence to Antiretroviral Therapies

Abstract Medication adherence is the “Plus” in the global challenge to have 90% of HIV‐infected individuals tested, 90% of those who are HIV positive treated, and 90% of those treated achieve an undetectable viral load. The latter indicates viral suppression, the goal for clinicians treating people living with HIV (PLWH). The comparative importance of different psychosocial scales in predicting the level of antiretroviral adherence, however, has been little studied. Using data from a cross‐sectional study of medication adherence with an international convenience sample of 1811 PLWH, we categorized respondent medication adherence as None (0%), Low (1‐60%), Moderate (61‐94%), and High (95‐100%) adherence based on self‐report. The survey contained 13 psychosocial scales/indices, all of which were correlated with one another (p < 0.05 or less) and had differing degrees of association with the levels of adherence. Controlling for the influence of race, gender, education, and ability to pay for care, all scales/indices were associated with adherence, with the exception of Berger's perceived stigma scale. Using forward selection stepwise regression, we found that adherence self‐efficacy, depression, stressful life events, and perceived stigma were significant predictors of medication adherence. Among the demographic variables entered into the model, nonwhite race was associated with double the odds of being in the None rather than in the High adherence category, suggesting these individuals may require additional support. In addition, asking about self‐efficacy, depression, stigma, and stressful life events also will be beneficial in identifying patients requiring greater adherence support. This support is essential to medication adherence, the Plus to 90‐90‐90.
Selection of an optimal promoter for gene transfer in normal B cells

Gene transfer into normal quiescent human B cells is a challenging procedure. The present study aimed to investigate whether it is possible to increase the levels of transgene expression by using various types of promoters to drive the expression of selected genes-of-interest. To produce lentiviral particles, the present study used the 2nd generation psPAX2 packaging vector and the vesicular stomatitis virus -expressing envelope vector pMD2.G. Subsequently, lentiviral vectors were generated containing various promoters, including cytomegalovirus (CMV), elongation factor-1 alpha (EF1α) and spleen focus-forming virus (SFFV). The present study was unable to induce satisfactory transduction efficiency in quiescent normal B cells; however, infection of normal B cells with Epstein-Barr virus resulted in increased susceptibility to lentiviral transduction. In addition, the SFFV promoter resulted in a higher level of transgene expression compared with CMV or EF1α promoters. As a proof-of concept that this approach allows for stable gene expression in normal B cells, the present study used bicistronic lentiviral vectors with genes encoding fluorescent reporter proteins, as well as X-box binding protein-1 and binding immunoglobulin protein.
Passion Fruit Chlorotic Mottle Virus: Molecular Characterization of a New Divergent Geminivirus in Brazil

Brazil is one of the major passion fruit producers worldwide. Viral diseases are among the most important constraints for passion fruit production. Here we identify and characterize a new passion fruit infecting-virus belonging to the family Geminiviridae: passion fruit chlorotic mottle virus (PCMoV). PCMoV is a divergent geminivirus unlike previously characterized passion fruit-infecting geminiviruses that belonged to the genus Begomovirus. Among the presently known geminiviruses, it is most closely related to, and shares ~62% genome-wide identity with citrus chlorotic dwarf associated virus (CCDaV) and camelia chlorotic dwarf associated virus (CaCDaV). The 3743 nt PCMoV genome encodes a capsid protein (CP) and replication-associated protein (Rep) that respectively share 56 and 60% amino acid identity with those encoded by CaCDaV. The CPs of PCMoV, CCDaV, and CaCDaV cluster with those of begomovirus whereas their Reps with those of becurtoviruses. Hence, these viruses likely represent a lineage of recombinant begomo-like and becurto-like ancestral viruses. Furthermore, PCMoV, CCDaV, and CaCDaV genomes are ~12–30% larger than monopartite geminiviruses and this is primarily due to the encoded movement protein (MP; 891–921 nt) and this MP is most closely related to that encoded by the DNA-B component of bipartite begomoviruses. Hence, PCMoV, CCDaV, and CaCDaV lineage of viruses may represent molecules in an intermediary step in the evolution of bipartite begomoviruses (~5.3 kb) from monopartite geminiviruses (~2.7–3 kb). An infectious clone of PCMoV systemically infected Nicotiana benthamina, Arabidopsis thaliana, and Passiflora edulis.
Eurographics/siggraph Symposium on Computer Animation (2003) Geometry Videos: a New Representation for 3d Animations

We present the " Geometry Video, " a new data structure to encode animated meshes. Being able to encode animated meshes in a generic source-independent format allows people to share experiences. Changing the viewpoint allows more interaction than the fixed view supported by 2D video. Geometry videos are based on the " Geometry Image " mesh representation introduced by Gu et al. 4. Our novel data structure provides a way to treat an animated mesh as a video sequence (i.e., 3D image) and is well suited for network streaming. This representation also offers the possibility of applying and adapting existing mature video processing and compression techniques (such as MPEG encoding) to animated meshes. This paper describes an algorithm to generate geometry videos from animated meshes. The main insight of this paper, is that Geometry Videos re-sample and reorganize the geometry information, in such a way, that it becomes very compressible. They provide a unified and intuitive method for level-of-detail control , both in terms of mesh resolution (by scaling the two spatial dimensions) and of frame rate (by scaling the temporal dimension). Geometry Videos have a very uniform and regular structure. Their resource and computational requirements can be calculated exactly, hence making them also suitable for applications requiring level of service guarantees.
Query Image Query Image Retrievals Retrievals Transferred Poses Transferred Poses

In recent years, there has been a renewed interest in jointly modeling perception and action. At the core of this investigation is the idea of modeling affordances1. However, when it comes to predicting affordances, even the state of the art approaches still do not use any ConvNets. Why is that? Unlike semantic or 3D tasks, there still does not exist any large-scale dataset for affordances. In this paper, we tackle the challenge of creating one of the biggest dataset for learning affordances. We use seven sitcoms to extract a diverse set of scenes and how actors interact with different objects in the scenes. Our dataset consists of more than 10K scenes and 28K ways humans can interact with these 10K images. We also propose a two-step approach to predict affordances in a new scene. In the first step, given a location in the scene we classify which of the 30 pose classes is the likely affordance pose. Given the pose class and the scene, we then use a Variational Autoencoder (VAE) [23] to extract the scale and deformation of the pose. The VAE allows us to sample the distribution of possible poses at test time. Finally, we show the importance of large-scale data in learning a generalizable and robust model of affordances.
Influence of maximal fat oxidation on long-term weight loss maintenance in humans.

Impaired maximal fat oxidation has been linked to obesity and weight regain after weight loss. The aim was to investigate the relationship between maximal fat oxidation (MFO) and long-term weight loss maintenance. Eighty subjects [means (SD): age, 36(13) yrs; BMI, 38(1) kg/m2] were recruited from a total of 2,420 former participants of an 11- to 12-wk lifestyle intervention. Three groups were established based on percent weight loss at follow-up [5.3(3.3) yr]: clinical weight loss maintenance (CWL), >10% weight loss; moderate weight loss (MWL), 1-10% weight loss; and weight regain (WR). Body composition (dual X-ray absorptiometry) and fat oxidation (indirect calorimetry) during incremental exercise were measured at follow-up. Blood and a muscle biopsy were sampled. At follow-up, a U-shaped parabolic relationship between MFO and percent weight loss was observed (r = 0.448; P < 0.001). Overall differences between CWL, MWL, and WR were observed in MFO (mean [95% confidence interval], in g/min, respectively: 0.46 [0.41-0.52]; 0.32 [0.27-0.38]; 0.45 [0.38-0.51]; P = 0.002), maximal oxygen uptake (V̇o2max, in ml·min-1·FFM-1, respectively; 49 [46-51]; 43 [40-47]; 41 [39-44]; P = 0.007), HAD-activity (in µmol·g-1·min-1, respectively: 123 [113-133]; 104 [91-118]; 97 [88-105]; P < 0.001), muscle protein content of CD36 (in AU, respectively: 1.1 [1.0-1.2]; 0.9 [0.8-1.0]; 0.9 [0.8-0.9]; P = 0.008) and FABPpm (in AU, respectively, 1.0 [0.8-1.2]; 0.7 [0.5-0.8]; 0.7 [0.5-0.9]; P = 0.008), body fat (in %, respectively: 33 [29-38]; 42 [38-46]; 52 [49-55]; P < 0.001), and plasma triglycerides (in mM, respectively: 0.8 [0.7-1.0]; 1.3 [0.9-1.7]; 1.6 [1.0-2.1]; P = 0.013). CWL and WR both had higher MFO compared with MWL, but based on different mechanisms. CWL displayed higher V̇o2max and intramuscular capacity for fat oxidation, whereas abundance of lipids at whole-body level and in plasma was higher in WR.NEW & NOTEWORTHY Impaired maximal fat oxidation has been linked to obesity and weight regain after weight loss. Noteworthy, maximal fat oxidation was equally high after clinical weight loss maintenance and weight regain compared with moderate weight loss. A high maximal fat oxidation after clinical weight loss maintenance was related to higher maximal oxygen updake, content of key proteins involved in transport of lipids across the plasma membrane and β-oxidation. In contrast, a high maximal fat oxidation after weight regain was related to higher availability of lipids, i.e., general adiposity and plasma concentration of triglycerides.