Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional role of apoptosis in oral diseases: An update

Cell death appears to be a basic biological phenomenon which is maintained by the human body. The term apoptosis, also known as programmed cell death, is characterized by several unique morphological and biochemical features. Apoptosis and its different forms are essential for tissue homeostasis. Alteration in molecular mechanisms involved in apoptotic signaling contributes to a vast range of oral diseases. An understanding of the regulation of apoptosis has led to the development of many therapeutic approaches and better management of oral diseases. The review updates us the correlation between apoptosis in normal oral tissues and oral diseases.
A Weyl type formula relating spectral distribution to $L^2$-isoperimetric profile

We give a formula relating the L2-isoperimetric profile to the spectral distribution of the Laplace operator associated to a finitely generated group Γ or a Riemannian manifold with a cocompact, isometric Γ-action. As a consequence, we can apply techniques from geometric group theory to estimate the spectral distribution of the Laplace operator in terms of the growth and the Folner’s function of the group, generalizing previous estimates by Gromov and Shubin. This leads, in particular, to sharp estimates of the spectral distributions for several classes of solvable groups. Furthermore, we prove the asymptotic invariance of the spectral distribution under changes of measures with finite second moment.
Topical vitamins, minerals and botanical ingredients as modulators of environmental and chronological skin damage

Ageing skin is characterized by fine lines, wrinkles, lentigines, dyspigmentation and increased coarseness. Topical preparations alleged to combat these changes abound in the over‐the‐counter market. Some of the most popular ingredients used in these products are vitamins, minerals and botanical extracts. Proposed mechanisms for antiageing effects on skin range from antioxidant properties to improved collagen synthesis or protection from collagen breakdown. Despite the media attention and consumer popularity that these ingredients have generated, there have been few scientific studies to support these claims. In this report, we review recent published studies on the most common of these ingredients for the topical photoprotection and the treatment of ageing skin.
Re-localization of Cellular Protein SRp20 during Poliovirus Infection: Bridging a Viral IRES to the Host Cell Translation Apparatus

Poliovirus IRES-mediated translation requires the functions of certain canonical as well as non-canonical factors for the recruitment of ribosomes to the viral RNA. The interaction of cellular proteins PCBP2 and SRp20 in extracts from poliovirus-infected cells has been previously described, and these two proteins were shown to function synergistically in viral translation. To further define the mechanism of ribosome recruitment for the initiation of poliovirus IRES-dependent translation, we focused on the role of the interaction between cellular proteins PCBP2 and SRp20. Work described here demonstrates that SRp20 dramatically re-localizes from the nucleus to the cytoplasm of poliovirus-infected neuroblastoma cells during the course of infection. Importantly, SRp20 partially co-localizes with PCBP2 in the cytoplasm of infected cells, corroborating our previous in vitro interaction data. In addition, the data presented implicate the presence of these two proteins in viral translation initiation complexes. We show that in extracts from poliovirus-infected cells, SRp20 is associated with PCBP2 bound to poliovirus RNA, indicating that this interaction occurs on the viral RNA. Finally, we generated a mutated version of SRp20 lacking the RNA recognition motif (SRp20ΔRRM) and found that this protein is localized similar to the full length SRp20, and also partially co-localizes with PCBP2 during poliovirus infection. Expression of this mutated version of SRp20 results in a ∼100 fold decrease in virus yield for poliovirus when compared to expression of wild type SRp20, possibly via a dominant negative effect. Taken together, these results are consistent with a model in which SRp20 interacts with PCBP2 bound to the viral RNA, and this interaction functions to recruit ribosomes to the viral RNA in a direct or indirect manner, with the participation of additional protein-protein or protein-RNA interactions.
Time perspectives mediate the relationship between personality traits and alcohol consumption

Background and aims Personality traits are considered distal determinants of various behaviors including alcohol consumption meaning that the association between traits and behaviors is mediated by other intervening variables. Time perspectives are thought to be both stable dispositions and dependent on situational variables. They are related to personality traits but cannot be reduced to such which may suggest that they explain the relationship between traits and various behaviors. This study aimed to explore the possibility that time perspectives mediate the relationship between personality traits and alcohol consumption behaviors. Methods Five hundred and forty nine young adults living in France were administered online measures of Big 5 personality traits (Big Five Factor Inventory in French), time perspectives (Zimbardo Time Perspective Inventory Short Form) and alcohol use (Alcohol Use Disorders Identification Test). Five multiple parallel mediator models were elaborated in which personality traits led to time perspectives, which in turn led to alcohol consumption. Results Exclusively conscientiousness and extraversion directly predicted alcohol consumption. However, in all five models at least one time perspective mediated the relationship between each personality trait and alcohol consumption. For example, the relationship between openness and alcohol use was fully mediated by two competitive mediators: past positive and present hedonist time perspectives. The relationship between agreeableness and alcohol use was fully accounted for by two complementary mediators: past positive and future. Fifty seven percent of the direct effect between extraversion and alcohol use was accounted for three competitive mediators: future, past positive and present hedonist perspectives. Conclusions Time perspectives may explain entirely or in part the relationship between Big 5 personality traits and alcohol consumption behavior among young people. Intervening on the level of time perspectives rather than on that of personality traits may be a viable direction for prospective studies regarding alcohol consumption.
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study

To date, the evaluation of tag recommender algorithms has mostly been conducted in limited ways, including p-core pruned datasets, a small set of compared algorithms and solely based on recommender accuracy. In this study, we use an open-source evaluation framework to compare a rich set of state-of-the-art algorithms in six unfiltered, open datasets via various metrics, measuring not only accuracy but also the diversity, novelty and computational costs of the approaches. We therefore provide a transparent and reproducible tag recommender evaluation in real-world folksonomies. Our results suggest that the efficacy of an algorithm highly depends on the given needs and thus, they should be of interest to both researchers and developers in the field of tag-based recommender systems.
Allogeneic Granulocyte Macrophage Colony-Stimulating Factor–Secreting Tumor Immunotherapy Alone or in Sequence with Cyclophosphamide for Metastatic Pancreatic Cancer: A Pilot Study of Safety, Feasibility, and Immune Activation

Purpose: The combination of chemotherapy and immunotherapy has not been examined in patients with advanced pancreatic cancer. We conducted a study of two granulocyte macrophage colony-stimulating factor–secreting pancreatic cancer cell lines (CG8020/CG2505) as immunotherapy administered alone or in sequence with cyclophosphamide in patients with advanced pancreatic cancer. Experimental Design: This was an open-label study with two cohorts: cohort A, 30 patients administered a maximum of six doses of CG8020/CG2505 at 21-day intervals; and cohort B, 20 patients administered 250 mg/m2 of cyclophosphamide i.v. 1 day before the same immunotherapy given as in cohort A. The primary objective was to evaluate safety and duration of immunity. Secondary objectives included time to disease progression and median overall survival. Results: The administration of CG8020/CG2505 alone or in sequence with cyclophosphamide showed minimal treatment-related toxicity. Median survival values in cohort A and cohort B were 2.3 and 4.3 months, respectively. CD8+ T-cell responses to HLA class I–restricted mesothelin epitopes were identified predominantly in patients treated with cyclophosphamide + CG8020/CG2505 immunotherapy. Conclusion: Granulocyte macrophage colony-stimulating factor–secreting pancreatic cancer cell lines CG8020/CG2505 alone or in sequence with cyclophosphamide showed minimal treatment-related toxicity in patients with advanced pancreatic cancer. Also, mesothelin-specific T-cell responses were detected/enhanced in some patients treated with CG8020/CG2505 immunotherapy. In addition, cyclophosphamide-modulated immunotherapy resulted in median survival in a gemcitabine-resistant population similar to chemotherapy alone. These findings support additional investigation of cyclophosphamide with CG8020/CG2505 immunotherapy in patients with advanced pancreatic cancer.
Mediating Knowledge between Application Components

In such contexts as the Semantic Web, the components of an application increasingly rely on ontological models and content knowledge developed and maintained by independent contributors. These components also are designed to be building blocks of various applications. We advocate the use of a mediating component that defines and processes the knowledge transformations required to enable application components to exchange, and inter-operate on, knowledge and data. We present our approach and associated tools to support developers (1) in defining mapping relations between the ontologies involved in their application and (2) in running a mapping interpreter to mediate content knowledge and data among the corresponding ontology-based components.
Phosphorylation and activation of ubiquitin-specific protease-14 by Akt regulates the ubiquitin-proteasome system

Regulation of ubiquitin-proteasome system (UPS), which controls the turnover of short-lived proteins in eukaryotic cells, is critical in maintaining cellular proteostasis. Here we show that USP14, a major deubiquitinating enzyme that regulates the UPS, is a substrate of Akt, a serine/threonine-specific protein kinase critical in mediating intracellular signaling transducer for growth factors. We report that Akt-mediated phosphorylation of USP14 at Ser432, which normally blocks its catalytic site in the inactive conformation, activates its deubiquitinating activity in vitro and in cells. We also demonstrate that phosphorylation of USP14 is critical for Akt to regulate proteasome activity and consequently global protein degradation. Since Akt can be activated by a wide range of growth factors and is under negative control by phosphoinosotide phosphatase PTEN, we suggest that regulation of UPS by Akt-mediated phosphorylation of USP14 may provide a common mechanism for growth factors to control global proteostasis and for promoting tumorigenesis in PTEN-negative cancer cells. DOI: http://dx.doi. org/10.7554/eLife.10510. 001
On the Users' Efficiency in the Twitter Information Network

Social media systems have increasingly become digital information marketplaces, where users produce, consume and share information and ideas, often of public interest. In this context, social media users are their own curators of information — however, they can only select their information sources, who they follow, but cannot choose the information they are exposed to, which content they receive. A natural question is thus to assess how efficient are users at selecting their information sources. In this work, we model social media users as information processing systems whose goal is acquiring a set of (unique) pieces of information. We then define a computational framework, based on minimal set covers, that allows us both to evaluate every user's performance as information curators within the system. Our framework is general and applicable to any social media system where every user follows others within the system to receive the information they produce. We leverage our framework to investigate the efficiency of Twitter users at acquiring information. We find that user's efficiency typically decreases with respect to the number of people she follows. A more efficient user tends to be less overloaded and, as a consequence, any particular piece of information lives longer in the top of her timeline, thus facilitating her to actually read the information. Finally, while most unique information a user receives could have been acquired through a few users, less popular information requires following many different users.
Is granulocyte colony-stimulating factor level predictive for human IVF outcome?

BACKGROUND We investigated granulocyte colony-stimulating factor (G-CSF) in human reproduction. METHODS From a total sample of 93 patients, we analysed in group 1 (n = 82) the level of G-CSF and estradiol (E(2)) in serum and follicular fluid (FF) on day of follicular puncture (FP). Furthermore, in response to ovarian stimulation, G-CSF levels in serum were compared between low (n = 11), moderate (n = 53) and high (n = 18) response patients. In group 2 (n = 23) serum for G-CSF assessment was collected throughout menstrual cycle until gestation. Group 3 (n = 11) patients with endometriosis were assessed for G-CSF in serum and FF on day of FP without further differentiation. RESULTS G-CSF in FF was higher than in serum (P < 0.01). G-CSF in serum increased from low through moderate to high response (P < 0.001); pregnancy rates were 0, 24.5 and 33.5% respectively. G-CSF in serum increased throughout stimulation, reached a peak with ovulation induction (P = 0.01) and decreased until embryo transfer (P=0.001). G-CSF level only in pregnant patients (n = 11) increased from embryo transfer to implantation to gestation (P = 0.005). In endometriosis patients G-CSF in serum and FF was lower than in non-endometriosis patients (P < or = 0.03) and corresponded with low response patients. CONCLUSIONS G-CSF is involved in follicle development and may be a predictor of IVF outcome.
On the Landau-Ginzburg description of boundary CFTs and special Lagrangian submanifolds

We consider Landau-Ginzburg (LG) models with boundary conditions pre- serving A-type N = 2 supersymmetry. We show the equivalence of a linear class of boundary conditions in the LG model to a particular class of boundary states in the cor- responding CFT by an explicit computation of the open-string Witten index in the LG model. We extend the linear class of boundary conditions to general non-linear bound- ary conditions and determine their consistency with A-type N = 2 supersymmetry. This enables us to provide a microscopic description of special Lagrangian submani- folds in C n due to Harvey and Lawson. We generalise this construction to the case of hypersurfaces in P n . We nd that the boundary conditions must necessarily have vanishing Poisson bracket with the combination (W () W ()), where W ( )i s the appropriate superpotential for the hypersurface. An interesting application considered is the T 3 supersymmetric cycle of the quintic in the large complex structure limit.
Deep Learning of Human Emotion Recognition in Videos

Machine learning in computer vision has made great progress in recent years. Tasks like object detection, object classiﬁcation and image segmentation reached near or even above human performance. Meanwhile, there are still tasks like human emotion recognition remains challenging. In this paper, machine learning techniques are used to recognize human emotions in movie images and videos. First of all, the theoretical background of these techniques is introduced. Secondly, informative content including audio, single video frame and multiple video frames are extracted from videos to represent emotions. In this step, OpenSMILE and Inception-ResNet-v2 model are used to extract feature vectors from audios and frames separately. Thirdly, various models are trained to classify the emotions. SVM is used to classify audio feature vectors. Inception-ResNet-v2 is used to recognize emotions in static images. C3D model is used to classify a sequence of frames(video). After that, the accuracy of these models are shown. Finally, the advantages and disadvantages of these models are discussed as well as possible improvements of future studies on human emotion recognition.
Diets for fat sets

In this paper we describe the discrete interval encoding tree for storing subsets of types having a total order and a predecessor and a successor function. In the following, we consider for simplicity only the case for integer sets; the generalization is not difficult. The discrete interval encoding tree is based on the observation that the set of integers {i[mid ]a[les ]i[les ]b} can be perfectly represented by the closed interval [a, b]. The general idea is to represent a set by a binary search tree of integers in which maximal adjacent subsets are each represented by an interval. For example, inserting the sequence of numbers 6, 9, 2, 13, 8, 14, 10, 7, 5 into a binary search tree, respectively, into a discrete interval encoding tree results in the tree structures shown in figure 1. The efficiency of the interval representation, both in terms of space and time, improves with the density of the set, i.e. with the number of adjacencies between set elements. So what we propose is a ‘diet’ (discrete interval encoding tree) for ‘fat’ sets in the sense of ‘the same amount of information with less nodes’.
PENGARUH SISTEM AKUNTANSI KEUANGAN DAERAH (SAKD)DAN SISTEM PENGENDALIAN INTERN PEMERINTAH (SPIP)TERHADAP KUALITAS LAPORAN KEUANGAN DAERAH(Studi Empiris pada DPPKAD Kabupaten Subang)

ABSTRAK Penelitian ini bertujuan untuk mengetahui besarnya pengaruh sistem akuntansi keuangan daerah (SAKD) dan sistem pengendalian intern pemerintah (SPIP) terhadap kualitas laporan keuangan daerah pada Dinas Pendapatan, Pengelolaan Keuangan dan Aset Daerah (DPPKAD) Kabupaten Subang. Pendekatan penelitian yang digunakan dalam penelitian ini adalah analisis deskriptif dan verifikatif dengan menggunakan data primer. Teknik sampling yang digunakan adalah probability sampling dengan metode simple random sampling. Analisis statistik yang digunakan dalam penelitian ini adalah uji asumsi klasik, analisis regresi, korelasi, pengujian hipotesis dengan menggunakan uji t dan uji F serta analisis koefisien determinasi. Banyaknya populasi penelitian ini adalah 40 orang, sampel penelitian yang digunakan adalah 36 orang dengan sumber data yang diperoleh melalui hasil pengisian kuesioner. Berdasarkan hasil penelitian yang dilakukan dapat diketahui bahwa secara parsial sistem akuntansi keuangan daerah (SAKD) dan sistem pengendalian intern pemerintah (SPIP) berpengaruh terhadap kualitas laporan keuangan daerah. dimana besarnya pengaruh sistem akuntansi keuangan daerah (SAKD) sebesar 33,1%, dan sistem pengendalian intern pemerintah (SPIP) memberikan pengaruh sebesar 43,7% terhadap kualitas laporan keuangan daerah. secara simultan sistem akuntansi keuangan daerah (SAKD) dan sistem pengendalian intern pemerintah (SPIP) terhadap kualitas laporan keuangan daerah sebesar 76,8%, sedangkan sisanya sebesar 23,2% merupakan pengaruh faktor lain di luar variabel independen yang sedang diteliti, seperti kompetensi sumber daya manusia, penerapan standar akuntansi pemerintahan dan pemanfaatan teknologi informasi. Kata Kunci: Sistem Akuntansi Keuangan Daerah (SAKD), Sistem Pengendalian Intern Pemerintah
Uncalibrated Near-Light Photometric Stereo

In this work we solve the uncalibrated photometric stereo problem with lights placed near the scene. We investigate different image formation models and find the one that best fits our observations. Although the devised model is more complex than its far-light counterpart, we show that under a global linear ambiguity the reconstruction is possible up to a rotation and scaling, which can be easily fixed. We also propose a solution for reconstructing the normal map, the albedo, the light positions and the light intensities of a scene given only a sequence of near-light images. This is done in an alternating minimization framework which first estimates both the normals and the albedo, and then the light positions and intensities. We validate our method on real world experiments and show that a near-light model leads to a significant improvement in the surface reconstruction compared to the classic distant illumination case.
The Polymorphisms in Methylenetetrahydrofolate Reductase, Methionine Synthase, Methionine Synthase Reductase, and the Risk of Colorectal Cancer

Polymorphisms in genes involved in folate metabolism may modulate the risk of colorectal cancer (CRC), but data from published studies are conflicting. The current meta-analysis was performed to address a more accurate estimation. A total of 41 (17,552 cases and 26,238 controls), 24(8,263 cases and 12,033 controls), 12(3,758 cases and 5,646 controls), and 13 (5,511 cases and 7,265 controls) studies were finally included for the association between methylenetetrahydrofolate reductase (MTHFR) C677T and A1289C, methione synthase reductase (MTRR) A66G, methionine synthase (MTR) A2756G polymorphisms and the risk of CRC, respectively. The data showed that the MTHFR 677T allele was significantly associated with reduced risk of CRC (OR = 0.93, 95%CI 0.90-0.96), while the MTRR 66G allele was significantly associated with increased risk of CRC (OR = 1.11, 95%CI 1.01-1.18). Sub-group analysis by ethnicity revealed that MTHFR C677T polymorphism was significantly associated with reduced risk of CRC in Asians (OR = 0.80, 95%CI 0.72-0.89) and Caucasians (OR = 0.84, 95%CI 0.76-0.93) in recessive genetic model, while the MTRR 66GG genotype was found to significantly increase the risk of CRC in Caucasians (GG vs. AA: OR = 1.18, 95%CI 1.03-1.36). No significant association was found between MTHFR A1298C and MTR A2756G polymorphisms and the risk of CRC. Cumulative meta-analysis showed no particular time trend existed in the summary estimate. Probability of publication bias was low across all comparisons illustrated by the funnel plots and Egger's test. Collectively, this meta-analysis suggested that MTHFR 677T allele might provide protection against CRC in worldwide populations, while MTRR 66G allele might increase the risk of CRC in Caucasians. Since potential confounders could not be ruled out completely, further studies were needed to confirm these results.