Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling Large-Scale Dynamic Social Networks via Node Embeddings

Given the edge list of a social network, the node embedding method learns the structural features for every node and embeds the features into a vector space. The current related work on node embedding exploits only a portion of existing networks, e.g., static networks. However, social networks are inherently hierarchical and dynamic systems in which the topology changes constantly and the strength of influence of information among neighbors varies with different numbers of hops. We propose a highly efficient node embedding method, Dnps, that is faster and more accurate than state-of-the-art methods and that can further boost the training progress, especially under dynamic conditions. In this paper, we attempt to model the hierarchical and dynamic features of social networks by designing a damping-based sampling algorithm corresponding to a local search-based incremental learning algorithm, which can easily be extended to large-scale scenarios. We conduct extensive experiments on six real-world social networks with three challenging tasks, including missing link prediction, dynamic link prediction, and multi-label classification. The results of the experiments on these tasks demonstrate that the proposed method significantly outperforms the existing methods with different settings.
Berzosertib (VE-822) inhibits gastric cancer cell proliferation via base excision repair system

Background Current investigations suggest that the Base Excision Repair (BER) system may change DNA repair capacity and affect clinical gastric cancer progression such as overall survival. However, the prognostic value of BER system members in gastric cancer remains unclear. Methods We explored the prognostic correlation between 7 individual BER genes, including uracil-DNA glycosylase (UNG), Single-strand-selective monofunctional uracil-DNA glycosylase 1 (SMUG1), Methyl-CpG binding domain 4 (MBD4), thymine DNA glycosylase (TDG), 8-oxoguanine DNA glycosylase (OGG1), MutY DNA glycosylase (MUTYH) and Nei like DNA glycosylase 1 (NEIL1), expression and overall survival (OS) in different clinical data, such as Lauren classification, pathological stages, human epidermal growth factor receptor-2 (HER2) expression status, treatment strategy, gender and differentiation degree in gastric cancer patients, using Kaplan-Meier plotter (KM plotter) online database. Based on the bioinformatics analysis, we utilized Berzosertib (VE-822) to inhibit DNA damage repair in cancer cells compared to solvent control group via real-time cellular analysis (RTCA), flow cytometry, colony formation and migration assay. Finally, we utilized reverse transcription-polymerase chain reaction (RT-PCR) to confirm the expression of BER members between normal and two gastric cancer cells or solvent and VE-822 treated groups. Results Our work revealed that high UNG mRNA expression was correlated with high overall survival probability; however, high SMUG1, MBD4, TDG, OGG1, MUTYH and NEIL1 mRNA expression showed relatively low overall survival probability in all GC patients. Additionally, UNG was associated with high overall survival probability in intestinal and diffuse types, but SMUG1 and NEIL1 showed opposite results. Further, VE-822 pharmacological experiment suggested that inhibition of DNA damage repair suppressed gastric cancer cells’ proliferation and migration ability via inducing apoptosis. Further, real-time polymerase chain reaction results proposed the inhibition of gastric cancer cells by VE-822 may be through UNG, MUTYH and OGG-1 of BER system. Conclusion We comprehensively analyze the prognostic value of the BER system (UNG, SMUG1, MBD4, TDG, OGG1, MUTYH and NEIL1) based on bioinformatics analysis and experimental confirmation. BER members are associated with distinctive prognostic significance and maybe new valuable prognostic indicators in gastric cancer.
Adolescent Feeding: Nutritional Risk Factors

Abstract The aim of this review is to describe adolescent nutritional requirements from a scientific, nutritional, and psychosocial point of view, emphasizing the main risks of malnutrition at this age. Currently, too many teenagers are alone at home and prepare their own meals. The influence of friends replaces parental rules. The habits of adolescents are characterized by a tendency to skip meals, especially breakfast, and, less frequently, the midday meal; to purchase carry-out meals away from home; to consume snacks, especially sweets; to eat at fast food restaurants, almost always with high-calorie content; and to eat fried foods, soft drinks, and sweets. Toxic habits, such as smoking, alcohol, and drugs, interfere with a healthy diet, as well. Physical activity usually decreases during adolescence, particularly in girls. The lack of physical activity is due to a precarious knowledge of the benefits associated with practicing physical activity, low motivation, time constraints, and, in many cases, the lack of adequate facilities. Adolescents interested in a body image in accordance with modern ideals follow restrictive and unbalanced diets without any nutritional basis, which they themselves planned. These behaviors increase the risk of nutritional alterations, such as noncompliance with nutritional requirements, meal pattern irregularities, nutritional problems due to low nutrient intake, and self-esteem issues and frustration. In general, in this age group, there is an increase in protein consumption and salt content, often with a supply of unbalanced nutrients, high-fat diets (35–50% of total calories), and low polyunsaturated/saturated fat ratio. In addition, adolescents consume a low level of complex carbohydrates, fiber, fruits, and vegetables.
Situation model updating in young and older adults

Over the past decade or so, developments in language comprehension research in the domain of cognitive aging have converged on support for resilience in older adults with regard to situation model updating when reading texts. Several studies have shown that even though age-related declines in language comprehension appear at the level of the surface form and text base of the text, these age differences do not apply to the creation and updating of situation models. In fact, older adults seem more sensitive to certain manipulations of situation model updating. This article presents a review of theories on situation model updating as well how they match with research on situation model updating in younger and older adults. Factors that may be responsible for the resilience of language comprehension in older age will be discussed as well as avenues for future research.
Data organization in video surveillance systems using deep learning

In this paper we propose to organize information in video surveillance systems by grouping the video tracks, which contain identical faces. Aggregation of the features of individual frames extracted using deep convolutional neural networks are used in order to obtain a descriptor of video track. The tracks with identical faces are grouped using the known face verification algorithms and clustering methods. We experimentally compare frame aggregation methods using the YouTubeFaces dataset and contemporary neural networks (VGGFace, VGGFace2, LightenedCNN). It is shown that the most accurate video-based face verification is achieved with the L2-normalization of average unnormalized features of individual frames of each video track. Finally, we demonstrate that the best video grouping is obtained by sequential and rank-order clustering methods.
Who Marries Whom? The Role of Identity, Cognitive and Noncognitive Skills in Marriage

I estimate a structural model of marriage sorting on a representative sample of British individuals. The paper first investigates the importance of numerical skills in the selection of the partner and the role of identity for marriage matching on a British sample. The findings show that identity is among the most important attributes, together with education and physical characteristics, in marriage sorting. Cognitive skills are both direct and indirect determinants of marriage matching. Personality traits are also relevant in the choice of the partner: conscientiousness and openness to experience play, in addition to risk propensity, a direct and an indirect role, while agreeableness, extraversion and neuroticism matter only indirectly. Interesting findings, robust to both alternative specifications and a sensitivity analysis, and heterogeneous preferences between males and females emerge from the analysis.
The Impact of Bacterial Spoilage and Foodborne Pathogens on Beef Industry and Application of Antimicrobial Interventions

iii ACKNOWLEDGEMENTS . iv LIST OF FIGURES . vi LITERATURE REVIEW . 1 Meat Spoilage . 2 Foodborne Pathogens . 6 Escherichia coli O157:H7.7 Salmonella spp. 17 Antimicrobial Interventions . 24 Lactic Acid . 26 Acetic Acid . 27 Chlorine.28 CONCLUSION . 30 REFERENCES . 32
Invoice Currency Choice in Malawi's Imports from Asia: Is there any evidence of Renminbi Internationalization?

This is the first study that presents detailed information on the Chinese renminbi (RMB) invoiced trade between Malawi and Asian countries. By processing the unpublished customs level data on Malawi's imports at the HS8-digit level, we show that the RMB is rarely used in Malawi's imports from China, while more than 20% of Malawi's imports from Japan are invoiced in the yen. This evidence suggests that the internationalization of the RMB lags far behind yen internationalization. The U.S. dollar and, to a lesser extent, the South African Rand are used as a vehicle currency in Malawi's imports from Asian countries. By estimating a panel logit model, we demonstrate that product differentiation and market share of imported products have positive influences on yen invoiced imports from Japan, while bilateral nominal exchange rate volatility has negative effects on exporter currency invoicing in imports from Asian countries. Thus, we may say that stable exchange rates will be able to promote the exporter's currency invoicing instead of vehicle currency invoicing in Malawi's imports from Asian countries.
Strategic orientations and performance of young ventures

Purpose Considering that entrepreneurial orientation (EO) and market orientation (MO) are antecedents of firm performance, and that technological turbulence (TT) and competitive intensity (CI) are present in different degrees in the business environment, the purpose of this paper is to address the following question in the context of young ventures: What is the contingent effect of TT and CI on MO–performance and EO–performance relationships? Design/methodology/approach This paper follows a deductive research approach. First, the literature on strategic orientation, opportunities, and dynamic capabilities (DCs) view are reviewed to formulate hypotheses. Then moderated hierarchical regression analysis is used on data collected from entrepreneurs/top managers of a multi-country (India and the UK) sample of young ventures. Findings The results of this study provide empirical evidence to the argument that both EO and MO, when looked from the universal approach, positively affect young ventures’ performance. The results show that young venture should consider environmental contingencies while choosing a strategic orientation. For resource-starved young ventures, EO is beneficial when the environment is intensely competitive, and MO is advantageous when the environment is technologically turbulent. Originality/value This study relies on the literature on opportunities and DCs view to arrive at hypotheses specific to young ventures. The paper empirically tests the assertions, finds support for the majority of them and reports unbiased estimates of the coefficients. It also clarifies the contrary observation made by some researchers in their study of orientation–performance relationship.
Diagnostik und Therapie des triple-negativen Mammakarzinoms (TNBC) – Empfehlungen für die tägliche Routine

Zusammenfassung Durch den raschen Erkenntnisgewinn zu Tumorbiologie und Tumorpathogenese des triple-negativen Mammakarzinoms (TNBC) ergeben sich neue Therapieansätze und neue Therapiekonzepte für die Behandlung. Seit Jahren gilt das TNBC wegen seiner in der Regel aggressiven Tumorbiologie und angesichts limitierter Therapieoptionen als schwierig zu behandelnder Tumor. Das Rezidiv- und Metastasierungsrisiko ist höher als bei anderen Mammakarzinom-Subtypen desselben Stadiums. Neben Operation und Bestrahlung in der kurativen Situation ist die systemische Chemotherapie mit Anthrazyklinen und/oder Taxanen nach wie vor die Therapie der Wahl. Neue Therapieansätze basieren auf der Erkenntnis, dass das TNBC eine molekular sehr heterogene Erkrankung ist. Forschungsgruppen arbeiten daran, das TNBC immer besser auf molekularer Ebene zu klassifizieren und diese molekulare Subtypisierung als Grundlage für neue therapeutische Strategien zu nutzen. Im Folgenden werden die vielversprechendsten neuen Ansätze und Überlegungen zur Therapie des TNBCs dargestellt. Anhand einer fiktiven Kasuistik werden zudem die derzeitigen Therapiestrategien unter Berücksichtigung der aktuellen Datenlage und den sich daraus ergebenden therapeutischen Konsequenz besprochen.
Investigating the antecedents of perceived social support: Parents' views of and behavior toward their children.

College students' perceptions of generalized social support were investigated from a developmental perspective. University students (N=262) completed questionnaires concerning general and relationship-specific social support. Questionnaires were mailed to students' parents and a sibling. Student reports of past and present parental relationships predicted parents' questionnaire return. Parents' views of students' personal characteristics predicted students' general perceptions of social support. Relationship-specific social support perceived from father but not mother was predicted by that parent's view of the student. Students' self-views and feelings of parental acceptance, variables theoretically associated with general social support, were also predicted by parents' views
Research on the Impact of Irrational Investor Behavior on IPO Underpricing in Main-board, SME Board and gem: Based on Behavioral Finance Perspective

This paper analyzes the phenomenon of IPO underpricing from the perspective of behavioral finance, and examines the effects of the irrational behavior of investors on the IPO underpricing of China's stock market by selecting the IPO underpricing rate, the first day turnover rate, the opening price rate and the lottery rate and so on. The study found that the investor sentiment in the three markets has a significant impact on the IPO underpricing, in which the investor sentiment in the continuous trading stage of the SME board and the gem has more strong influence on IPO underpricing. At the same time, this paper compares the difference between the Main-board, the SME board and the gem on the underpricing rate of IPO. Among them, the raising scale of the SME board and the gem has a significant negative impact on the IPO underpricing. Finally, combining with the reality of IPO underpricing in China's stock market, the paper puts forward some countermeasures and suggestions in order to weaken the problem of underpricing and promote the healthy development of China's securities market. Introduction With the development of China's capital market, the single capital market environment is not enough to meet the capital demand of Chinese enterprises and the capital supply of investors. Since the development of 1990s, China's capital market has formed the internal market and the external market. Among them, the floor market, including the main board, small and medium-sized board and gem, better meet the financing needs of enterprises at different stages of development and scale levels. But at the same time, there are also problems in China's capital market, in which IPO underpricing seriously weakens the function of the capital market to optimize the allocation of resources. Research on IPO underpricing mainly adopts the framework of EMH and asymmetric information. Scholars believe that the first day of listing price is the fair value in the effective market, and the information asymmetry among the participants leads to the undervaluation of the issue price. However, many theoretical models based on EMH and asymmetric information do not have enough explanatory power for it, so some behavioral finance scholars believe that IPO underpricing is the result of overvaluation on the first day of listing. Based on considerations of this kind of situation, this article attempts through the theory of behavioral finance related study of irrational behavior of investors, the irrational behavior of investors explore influence on IPO underpricing, and compare the second board stock market, small and medium-sized board and gem and differences between the three markets in order to further improve the system of our country stock market IPO pricing to provide the corresponding policy recommendations. Methodology Research Hypothesis The Impact of Investor Sentiment on IPO Underpricing. Financial scholars believe that under the basic framework of behavioral finance, investors are not completely rational and usually show
The constraints, aesthetic implications, and creative strategies of composing for networked music performance

Performing music together over a public network while being located at a distance from each other necessarily means performing under a particular set of technical and performative constraints. These constraints are antithetical to—and make cumbersome—the performance of tightly synchronised music, which traditionally depends on the conditions of transmission stability, ultra-low latency, and shared presence. These conditions are experienced optimally only when musicians perform at the same time and in the same place. Except for specialized private network services, public networks are inherently latent and unstable, which disrupts musicians’ ability to achieve precise vertical synchronisation and create an environment where approaches to music performance and composition must be reconsidered. It is widely considered that these conditions mean that networked music performance is a future genre for when network latencies and throughput improve, or one that is currently reserved for high-end heavily optimised networks afforded by institutions and not individuals, or one that is primarily reserved for improvisatory or aleatoric composition and performance techniques. I disagree that networked music is dependent on access to advanced Internet technologies and suggest that music compositions for networked music performance can be highly successful over regular broadband conditions when the composer considers the limitations as opportunities for new creative strategies and aesthetic approaches. In this exegesis, I outline the constraints that prove that while networked music performance is latent, asynchronous, multi-located, multi-authorial, and hopelessly, intrinsically, and passionately digitally mediated, these constraints provide rich creative opportunities for the composition and performance of synchronised and resonant music. I introduce four aesthetic approaches, which I determine as being critical towards the development of networked music: 1) postvertical harmony, where the asynchronous arrival of signals ruptures the harmonic experience; 2) new timbral fusions created through multi-located resonant sources; 3) a contribution to performative relationships through the generation and transmission of vital information in the musical score and through the development of new technologies for facilitating performer synchronisation; and 4) the post-digital experience, where all digital means of manipulation are permitted and embraced, leading to new ways of listening to and forming reproduced realities. Each of these four aesthetic approaches are considered individually in relation to the core constraints, through discussion of the present-day technical conditions, and how each of these approaches are applied to my musical portfolio through practical illustration.
Difficultés des canaux de distribution alimentaire en territoire rural : l’importance du leader

L’objectif de cet article est d’expliquer les freins existants a la mise en place de solutions efficientes et durables dans les canaux de distribution alimentaire en contexte rural, en se concentrant sur le role joue par les leaders de ces canaux. L’analyse de CapLog, groupe de travail reunissant des acteurs de la distribution du Massif central, a permis d’analyser de maniere qualitative et exploratoire les attributs du leader. Les membres ont une vision convergente du canal et ont acquis une expertise marketing. Mais le manque d’expertise logistique et l’absence d’un leader legitime restent un frein a la perennite des solutions proposees. Les auteurs concluent sur les competences que devraient acquerir les acteurs pour se positionner comme de veritables leaders de canaux de distribution competitifs.
GFSK receiver architecture and methodology

A Gaussian Frequency Shift Key (GFSK) receiver includes a receiver front end to receive a GFSK-modulated signal and convert the received GFSK-modulated signal to a baseband frequency modulated signal, a channel filter to reduce channel interference which is adjacent to a desired channel of the baseband frequency modulated signal, a demodulator to demodulate the channel filtered baseband modulated signal and to recover a sequence of symbols, a digital filter to reduce inter-symbol interference (ISI) from the sequence of symbols, a sheer to produce symbol decisions based on the filtered sequence of symbols, and a symbol-to-bit mapper to map the symbol decisions to data bits.
Salient object extraction in low depth-of-field images using SVDD

Existing salient object extraction methods for the low depth-of-field (DOF) image are usually based on local saliency. However, in the low DOF image, the smooth region of salient objects is similar to the background in local saliency, so they are easily confused. In this paper, a novel salient object extraction method is proposed by introducing Support Vector Data Description (SVDD) for salient object shape description. It is the first time that SVDD is used for salient object extraction. SVDD makes full use of global characteristics of salient objects, which makes it possible for our approach to accurately extract salient objects containing smooth regions. Experiments on a Flickr dataset consisting of 141 low DOF images indicate that F-measure of our approach is better than the existing methods.