Miracle-dz/UniFAR-FTUs huggingface dataset:
Edge-Nodes Representation Neural Machine for Link Prediction

Link prediction is a task predicting whether there is a link between two nodes in a network. Traditional link prediction methods that assume handcrafted features (such as common neighbors) as the link’s formation mechanism are not universal. Other popular methods tend to learn the link’s representation, but they cannot represent the link fully. In this paper, we propose Edge-Nodes Representation Neural Machine (ENRNM), a novel method which can learn abundant topological features from the network as the link’s representation to promote the formation of the link. The ENRNM learns the link’s formation mechanism by combining the representation of edge and the representations of nodes on the two sides of the edge as link’s full representation. To predict the link’s existence, we train a fully connected neural network which can learn meaningful and abundant patterns. We prove that the features of edge and two nodes have the same importance in link’s formation. Comprehensive experiments are conducted on eight networks, experiment results demonstrate that the method ENRNM not only exceeds plenty of state-of-the-art link prediction methods but also performs very well on diverse networks with different structures and characteristics.
An Optimal Peer Selection Algorithm for Mesh-based Peer-to-Peer Networks

In order to achieve faster content distribution speed and stronger fault tolerance, a P2P peer can connect to multiple peers in parallel and receive chunks of the data simultaneously. A critical issue in this environment is selecting a set of nodes participating in swarming sessions. Previous related researches only focus on performance metrics, such as downloading time or the round-trip time, but in this paper, we consider a new performance metric which is closely related to the network and propose a peer selection algorithm that produces the set of peers generating optimal worst link stress. We prove that the optimal algorithm is practicable and has the advantages with the experiments on PlanetLab . The algorithm optimizes the congestion level of the bottleneck link. It means the algorithm can maximize the affordable throughput. Second, the network load is well balanced. A balanced network improves the utilization of resources and leads to the fast content distribution. We also notice that if every client follows our algorithm in selecting peers, the probability is high that all sessions could benefit. We expect that the algorithm in this paper can be used complementary to existing methods to derive new and valuable insights in peer-to-peer networking.
Genotoxic stress causes the accumulation of DNA‐dependent protein kinase catalytic subunit phosphorylated at serine 2056 at nuclear speckles and alters pre‐mRNA alternative splicing

RNA splicing has emerged as a critical player in the DNA damage response (DDR). However, the underlying mechanism(s) by which pre‐mRNA splicing is coordinately regulated by genotoxic stress has remained largely unclear. Here, we show that a DDR factor, DNA‐dependent protein kinase (DNA‐PK), participates in the modulation of pre‐mRNA splicing in the presence of DNA double‐strand break (DSB)‐induced genotoxic stress. Through indirect immunostaining, we made the surprising discovery that DNA‐PK catalytic subunits (DNA‐PKcs) autophosphorylated at serine 2056 (S2056) accumulate at nuclear speckles (dynamic nuclear structures that are enriched with splicing factors), following their dissociation from DSB lesions. Inactivation of DNA‐PKcs, either using a small molecule inhibitor or by RNA interference, alters alternative splicing of a set of pre‐mRNAs in A549 cells treated with the topoisomerase II inhibitor mitoxantrone, indicative of an involvement of DNA‐PKcs in modulating pre‐mRNA splicing following genotoxic stress. These findings indicate a novel physical and functional connection between the DNA damage response and pre‐mRNA splicing, and enhance our understanding of how mRNA splicing is involved in the cellular response to DSB lesions.
Guessing Facets: Polytope Structure and Improved LP Decoding

In this paper we investigate the structure of the fundamental polytope used in the Linear Programming decoding introduced by Feldman, Karger and Wainwright. We begin by showing that for expander codes, every fractional pseudocodeword always has at least a constant fraction of non-integral bits. We then prove that for expander codes, the active set of any fractional pseudocodeword is smaller by a constant fraction than the active set of any codeword. We further exploit these geometrical properties to devise an improved decoding algorithm with the same complexity order as LP decoding that provably performs better, for any blocklength. It proceeds by guessing facets of the polytope, and then resolving the linear program on these facets. While the LP decoder succeeds only if the ML codeword has the highest likelihood over all pseudocodewords, we prove that the proposed algorithm, when applied to suitable expander codes, succeeds unless there exist a certain number of pseudocodewords, all adjacent to the ML codeword on the LP decoding polytope, and with higher likelihood than the ML codeword. We then describe an extended algorithm, still with polynomial complexity, that succeeds as long as there are at most polynomially many pseudocodewords above the ML codeword.
Coenzyme Q10 protects against burn‐induced mitochondrial dysfunction and impaired insulin signaling in mouse skeletal muscle

Mitochondrial dysfunction is associated with metabolic alterations in various disease states, including major trauma (e.g., burn injury). Metabolic derangements, including muscle insulin resistance and hyperlactatemia, are a clinically significant complication of major trauma. Coenzyme Q10 (CoQ10) is an essential cofactor for mitochondrial electron transport, and its reduced form acts as a lipophilic antioxidant. Here, we report that burn injury induces impaired muscle insulin signaling, hyperlactatemia, mitochondrial dysfunction (as indicated by suppressed mitochondrial oxygen consumption rates), morphological alterations of the mitochondria (e. g., enlargement, and loss of cristae structure), mitochondrial oxidative stress, and disruption of mitochondrial integrity (as reflected by increased mitochondrial DNA levels in the cytosol and circulation). All of these alterations were significantly alleviated by CoQ10 treatment compared with vehicle alone. These findings indicate that CoQ10 treatment is efficacious in protecting against mitochondrial dysfunction and insulin resistance in skeletal muscle of burned mice. Our data highlight CoQ10 as a potential new strategy to prevent mitochondrial damage and metabolic dysfunction in burn patients.
Maintaining intellectual diversity in data science

Data science is a young and rapidly expanding field, but one which has already experienced several waves of temporarily-ubiquitous methodological fashions. In this paper we argue that a diversity of ideas and methodologies is crucial for the long term success of the data science community. Towards the goal of a healthy, diverse ecosystem of different statistical models and approaches, we review how ideas spread in the scientific community and the role of incentives in influencing which research ideas scientists pursue. We conclude with suggestions for how universities, research funders and other actors in the data science community can help to maintain a rich, eclectic statistical environment.
Stream reasoning: A survey and outlook

Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and in this article we analyse its growth. In the first part, we trace the main results obtained so far, by presenting the most prominent studies. We start by an overview of the most relevant studies developed in the context of semantic web, and then we extend the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: in the second part, we present a set of open challenges and issues that stream reasoning will face in the next future.
Automating semantic publishing

Semantic Publishing involves the use of Web and Semantic Web technologies and standards for the semantic en- hancement of a scholarly work so as to improve its discoverability, interactivity, openness and (re-)usability for both humans and machines. Recently, people have suggested that the semantic enhancements of a scholarly work should be undertaken by the authors of that scholarly work, and should be considered as integral parts of the contribution subjected to peer review. However, this requires that the authors should spend additional time and effort adding such semantic annotations, time that they usually do not have available. Thus, the most pragmatic way to facilitate this additional task is to use automated services that create the semantic annotation of authors’ scholarly articles by parsing the content that they have already written, thus reducing the additional time required of the authors to that for checking and validating these semantic annotations. In this article, I propose a generic approach called compositional and iterative semantic enhancement (CISE) that enables the automatic enhancement of scholarly papers with additional semantic annotations in a way that is independent of the markup used for storing scholarly articles and the natural language used for writing their content.
Edinburgh Research Explorer Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution

42 Microglia play critical roles in neural development and homeostasis. They are also implicated 43 in neurodegenerative and neuroinflammatory diseases of the central nervous system (CNS). 44 However, little is known about the presence of spatially and temporally restricted subclasses 45 of microglia during CNS development and disease. Here, we combined massively parallel 46 single-cell analysis, single-molecule FISH, advanced immunohistochemistry and 47 computational modelling to comprehensively characterize novel microglia subclasses in up to 48 six different regions during development and disease. Single-cell analysis of mouse CNS 49 tissues revealed specific time- and region-dependent microglia subtypes, which were 50 transcriptionally distinct from perivascular macrophages, during homeostasis. Demyelinating 51 and neurodegenerative diseases evoked context-dependent microglia subtypes with distinct 52 molecular hallmarks and diverse cellular kinetics. Diverse microglia clusters were also 53 identified in normal and diseased human brains. Our data provide new insights into the 54 endogenous immune system of the CNS during development, health and disease. and neurodegenerative 114 conditions in mice and humans, and highlight context- and time-dependent microglia subsets 115 and their distinct signals. The data provide new potential therapeutic targets and a valuable resource for the study of disease mechanisms in the CNS. healthy and diseased rodents and humans, our study may provide new insights into the pathogenesis of CNS diseases.
SISTEM INFORMASI PENJUALAN BARANG PADA TOKO BAJU NEW MAESTRO COLLECTION

Toko Baju New Maestro Collection adalah salah satu industri yang bergerak pada bidang penjualan busana muslim. Toko Baju New Maestro Collection didirikan pada tahun 2006, yang beralamat di Pasar Tanah Abang Blok A Lt. LG Los AB No. 23, Tanah Abang – Jakarta Pusat. Toko Baju New Maestro Collection ini didirikan oleh Ibu Hj. Desniarti. Hingga saat ini Toko Baju New Maestro Collection terus berkembang. Sering salah dalam memberikan harga barang, sehingga kurang akurat dalam laporan penjualan. Tidak ada nya jadwal pengiriman yang pasti, karena pengiriman hanya melalui ekspedisi, sehingga pengiriman sering terlambat.
Identification of high expression profiles of miR-31-5p and its vital role in lung squamous cell carcinoma: a survey based on qRT-PCR and bioinformatics analysis

Background The function of miR-31-5p in lung squamous cell carcinoma (LUSC) remains unclear, therefore, a systematic study was performed for the clinical significance and molecular mechanism of miR-31-5p in LUSC. Methods Quantitative real-time reverse transcription PCR (qRT-PCR) was utilized to test the expression level of miR-31-5p in 88 LUSC tissue samples and their matching normal tissues. Data from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were also utilized to confirm the expression level and clinical value of miR-31-5p in LUSC. The potential target genes of miR-31-5p were predicted by several online predicted software. Gene ontology (GO), protein-protein interaction (PPI) and pathway analysis were utilized to investigate the underlying molecular mechanism of miR-31-5p in LUSC. Results The result from qRT-PCR found that there was significant difference of miR-31-5p between LUSC and normal tissues (P<0.001). Meanwhile, Data from TCGA also showed a higher expression of miR-31-5p in LUSC tissues than that in the normal tissues (P<0.001). on the basis of the data of GEO database, five GEO datasets indicated that the expression of miR-31-5p in LUSC tissues was significantly higher than that in normal lung tissues, include GSE51858 (P=0.025), GSE74190 (P<0.000), GSE16025 (P=0.031), GSE25508 (P=0.0.01), and GSE47525 (P=0.049). Moreover, in consideration of the meta-analysis, 1,012 clinical specimens were systematically analyzed via meta-analysis, clinical specimens were systematically analyzed via meta-analysis, and the results showed that the expression of miR-31-5p in LUSC was significantly higher than in the adjacent lung tissues (SMD =0, CI: 1.08–1.45, Z=13.30, P=0.000). In addition, result from GO and pathway analyses showed that potential target genes of miR-31-5p were significantly associated with 20 GO terms and 5 pathways, such as signal transduction, transmembrane receptor protein tyrosine kinase activity, plasma membrane and Rap1 signaling pathway. Meanwhile, we also found thatmiR-31-5p target genes were related to the Rap1 signaling pathway, Oxytocin signaling pathway and Proteoglycans in cancer. Furthermore, six hub genes were identified from PPI and three hub genes, including ADCY6, ADCY9 and EGFR, proved to coexist in the Rap1 signaling pathway, oxytocin signaling pathway and Melanogenesis simultaneously. Conclusions According to what has been discussed above, we speculated that miR-31-5p may play a vital role in the occurrence and development of LUSC.
DFT Characteristics of Charge Transport in DBTP-Based Hole Transport Materials

To improve the hole-transport ability and photoelectric properties of perovskite solar cells, the ground-state geometry, frontier molecular orbital, and mobility of two organic molecules were investigated using density functional theory (DFT) with the Marcus hopping model. The absorption spectra were calculated using time-dependent DFT. The result indicated that the increase in the conjugated chain and change in the substituted group location from meta to para cause low mobility, which has a negative effect on the hole-transporting ability.
152-OR: Changes in Consumption of Sugary Beverages and Artificially Sweetened Beverages and Risk of Type 2 Diabetes among U.S. Women and Men

Background: Whether changes in consumption of sugary beverages or artificially sweetened beverages (ASBs) are associated with type 2 diabetes (T2D) risk has never been evaluated. Objective: We evaluated the association of changes in sugary beverage and ASB consumption over a 4-year period with subsequent 4-year risk of T2D among U.S. women and men. Methods: We followed-up 78,357 women in the Nurses’ Health Study (1986-2012), 82,937 women in the Nurses’ Health Study II (1991-2013) and 35,148 men in the Health Professionals Follow-up Study (1986-2012). Beverage intakes were assessed using validated food frequency questionnaires every 4 years. Cox proportional regression models were used to calculate hazard ratios (HRs) for T2D regarding 4-year changes in beverage consumption, adjusted for initial beverage intake and BMI. Results of the 3 cohorts were pooled using an inverse variance-weighted, fixed-effect meta-analysis. Results: During 2,849,389 person-years of follow-up, we documented 12,007 incident cases of T2D. Increasing sugary beverage intake by >0.5 serving/day over a 4-year period was associated with a 14% (95% CI: 7%, 21%) higher T2D risk compared with maintaining a stable consumption. Both beverages with added sugars (e.g., soft drinks) and 100% fruit juices were associated with higher T2D risk. Increasing ASB consumption by >0.5 serving/day was associated with a 19% (95% CI: 12%, 27%) higher T2D risk. Substituting ASB for sugary beverages was not associated with subsequent T2D risk (HR: 0.99, 95% CI: 0.96, 1.02). However, decreasing sugary beverage consumption and increasing water, coffee or tea intake by 1 serving/day was associated with a 3% to 11% lower risk of T2D. Conclusion: Increasing consumption of sugary beverages or ASBs was associated with a higher risk of T2D compared with maintaining a stable consumption of these beverages. Substituting water, coffee or tea but not ASB for sugary beverages was associated with lower T2D risk. Disclosure J. Drouin-Chartier: Other Relationship; Self; Dairy Farmers of Canada. Y. Zheng: None. Y. Li: None. V. Malik: None. A. Pan: None. J.E. Manson: None. W.C. Willett: None. F. Hu: None. Funding National Institutes of Health (UM1CA186107, UM1CA176726, UM1CA167552, DK112940, HL60712, HL118264); Canadian Institutes of Health Research (BPF-156628)
Duygu Analizi ve Fikir Madenciliği Algoritmalarının İncelenmesi

Duygu Analizi veya Fikir Madenciligi, metin madenciliginin onemli bir alani ve son yillarin onemli arastirma konularindan biridir. Gunumuzde sirketlerin veya kisilerin urettikleri urunler cok hizli bir sekilde tuketiciye ulasmakta ve bu urunlerle ilgili yapilan yorumlarda gelisen teknoloji ile beraber internet dunyasina yansimaktadir. Bu yorumlarin ne anlama geldigi ureticiler icin cok onemlidir. Bunun disinda Duygu Analizi veya Fikir Madenciligi finanstan tutun da tip alanina kadar bircok alanda kullanilabilir. Duygu Analizi; bir metni ele alarak bu metnin olumlu, olumsuz veya tarafsiz bir icerige sahip olup olmadigini inceler. Genel olarak fikirlerin, duygularin ve metinlerin nesnelliginin hesaplanma islemi de denilebilir. Bu calisma da, Duygu Analizi hakkinda arastirma yapilmis olup Duygu Analizi siniflandirma teknikleri incelenerek tum alt bilesenleri ile beraber anlatilmistir. Duygu Analizi ile ilgili bircok guncel makale incelenmis ve kisaca anlatilmistir. En son olarak genel bir degerlendirme ve sonuc yazilarak calisma bitirilmistir.
Microbiological quality of probiotic dietary supplements

Abstract Today people focus on healthy lifestyle. It is well known that probiotics have a number of beneficial health effects in humans. They play an important role in protecting the host against harmful microorganisms, reduce metabolic disorders and support immune functions. In the present study, we investigated 26 probiotic products: 16 commercially available ones and 10 from a local manufacturer. None of the commercial products contained all labelled LAB and some of them contained unacceptable microorganisms. Of 890 isolated strains only 420 met the criteria for LAB. Ninety-seven strains were investigated by phenotypic and genotypic methods. 16S–23S rDNA amplification was performed for all putative LAB isolates. Fifty-seven rod-shaped bacteria referred to genus Lactobacillus and 16 coccus bacteria, to genus Weissela. Two-step multiplex PCR identified the rod-shaped strains to belong to four species: Lactobacillus delbrueckii ssp. bulgaricus (three strains), Lactobacillus acidophilus (four strains), Lactobacillus casei (three strains), Lactobacillus rhamnosus (two strains), Lactobacillus reuteri (four strains) and Lactobacillus plantarum (one strain). The transit tolerance of the isolated bacteria to in vitro simulated gastric juice (pH 2) was examined. Only four strains survived after 90 min of incubation. The antimicrobial activity of the native supernatants of the isolates was tested and 10 of them showed slight activity against three pathogenic bacteria. Our results demonstrated that only freshly produced products possessed the expected number of viable cells. The data revealed that one of the most common problems is the lower concentration of viable cells, misidentification and the presence of undesired microflora.
Evaluating the effects of esophageal and breast cancer radiotherapy on the cardiac function and determining the relationship between the dosimetric parameters and ejection fraction changes

Background: In the radiotherapy of patients with esophagus and breast cancer, the heart receives a significant dose of radiation that might cause heart complications. Thefore, the aim of the current study was to evaluate the effects of esophagus and left breast cancer radiotherapy on the cardiac function and to determine the relationship between the dosimetric parameters and ejection fraction (EF) changes. Materials and Methods: Patients with esophageal (n=13) and left breast cancer (n=21) enrolled at our radiotherapy center from March to October 2017. Echocardiography tests were obtained from patients, before and six months after the radiotherapy. Dosimetric parameters were extracted from treatment planning system. The assessed outcomes included preand post-radiation EF ratios and percentage change in the EF following radiation. Results: The mean ± standard deviations of EFs in patients with breast cancer before and six months after treatment were 55.95%±3.2% and 53.10%±6.30% respectively, which were not statistically significant (P = 0.07). In patients with esophagus cancer, the mean ± standard deviations of pretreatment and post-treatment EFs were 56.76%±3.44% and 52.09%±3.88% respectively, which were statistically significant (P = 0.005). Conclusion: The results of our study showed a significant variation of EFs in esophageal cancer patients following radiotherapy, while breast cancer patients treated with radiotherapy showed no significant change. In patients with esophagus cancer, there was a significant correlation between the variation of EFs and volume of heart receiving radiation doses ≥30 Gy (≥V30). Therefore, to avoid reduction in EF, the use of V20 as a dose-volume constraint is recommended.