Miracle-dz/UniFAR-FTUs huggingface dataset:
Asynchronous Iterative Computations with Web Information Retrieval Structures: The PageRank Case

There are several ideas being used today for Web information retrieval, and specifically in Web search engines. The PageRank algorithm is one of those that introduce a content-neutral ranking function over Web pages. This ranking is applied to the set of pages returned by the Google search engine in response to posting a search query. PageRank is based in part on two simple common sense concepts: (i)A page is important if many important pages include links to it. (ii)A page containing many links has reduced impact on the importance of the pages it links to. In this paper we focus on asynchronous iterative schemes to compute PageRank over large sets of Web pages. The elimination of the synchronizing phases is expected to be advantageous on heterogeneous platforms. The motivation for a possible move to such large scale distributed platforms lies in the size of matrices representing Web structure. In orders of magnitude: $10^{10}$ pages with $10^{11}$ nonzero elements and $10^{12}$ bytes just to store a small percentage of the Web (the already crawled); distributed memory machines are necessary for such computations. The present research is part of our general objective, to explore the potential of asynchronous computational models as an underlying framework for very large scale computations over the Grid. The area of ``internet algorithmics'' appears to offer many occasions for computations of unprecedent dimensionality that would be good candidates for this framework.
Joint Modeling of Immune Reconstitution Post Haploidentical Stem Cell Transplantation in Pediatric Patients With Acute Leukemia Comparing CD34+-Selected to CD3/CD19-Depleted Grafts in a Retrospective Multicenter Study

Rapid immune reconstitution (IR) following stem cell transplantation (SCT) is essential for a favorable outcome. The optimization of graft composition should not only enable a sufficient IR but also improve graft vs. leukemia/tumor effects, overcome infectious complications and, finally, improve patient survival. Especially in haploidentical SCT, the optimization of graft composition is controversial. Therefore, we analyzed the influence of graft manipulation on IR in 40 patients with acute leukemia in remission. We examined the cell recovery post haploidentical SCT in patients receiving a CD34+-selected or CD3/CD19-depleted graft, considering the applied conditioning regimen. We used joint model analysis for overall survival (OS) and analyzed the dynamics of age-adjusted leukocytes; lymphocytes; monocytes; CD3+, CD3+CD4+, and CD3+CD8+ T cells; natural killer (NK) cells; and B cells over the course of time after SCT. Lymphocytes, NK cells, and B cells expanded more rapidly after SCT with CD34+-selected grafts (P = 0.036, P = 0.002, and P < 0.001, respectively). Contrarily, CD3+CD4+ helper T cells recovered delayer in the CD34 selected group (P = 0.026). Furthermore, reduced intensity conditioning facilitated faster immune recovery of lymphocytes and T cells and their subsets (P < 0.001). However, the immune recovery for NK cells and B cells was comparable for patients who received reduced-intensity or full preparative regimens. Dynamics of all cell types had a significant influence on OS, which did not differ between patients receiving CD34+-selected and those receiving CD3/CD19-depleted grafts. In conclusion, cell reconstitution dynamics showed complex diversity with regard to the graft manufacturing procedure and conditioning regimen.
Sex: A Significant Risk Factor for Neurodevelopmental and Neurodegenerative Disorders

Males and females sometimes significantly differ in their propensity to develop neurological disorders. Females suffer more from mood disorders such as depression and anxiety, whereas males are more susceptible to deficits in the dopamine system including Parkinson’s disease (PD), attention-deficit hyperactivity disorder (ADHD) and autism. Despite this, biological sex is rarely considered when making treatment decisions in neurological disorders. A better understanding of the molecular mechanism(s) underlying sex differences in the healthy and diseased brain will help to devise diagnostic and therapeutic strategies optimal for each sex. Thus, the aim of this review is to discuss the available evidence on sex differences in neuropsychiatric and neurodegenerative disorders regarding prevalence, progression, symptoms and response to therapy. We also discuss the sex-related factors such as gonadal sex hormones and sex chromosome genes and how these might help to explain some of the clinically observed sex differences in these disorders. In particular, we highlight the emerging role of the Y-chromosome gene, SRY, in the male brain and its potential role as a male-specific risk factor for disorders such as PD, autism, and ADHD in many individuals.
The Characteristics of Women Directors: Firm Performance and Information Quality

This paper quantitatively examines the relationship between financial information quality, characteristics of women directors and firm performance. A sample of 204 non-financial companies, which are listed at Pakistan Stock Exchange, are used for this study. The paper concludes that there is a negative relationship between financial information quality and firm's woman directors when women directors are less than three on board. Research also concluded that such negative effect nullifies by the strong board. However, the impact of women director on the board is necessary to improve firm performance. Results of this study indicate that under-representation of women on board of directors will have an adverse effect on financial information quality of a firm.
Getting to Know Your Robot Customers: Automated Analysis of User Identity and Demographics for Robots in the Wild

Long-term studies with autonomous robots “in the wild” (deployed in real-world human-inhabited environments) are among the most laborious and resource-intensive endeavors in human–robot interaction. Even if a robot system itself is robust and well-working, the analysis of the vast amounts of user data one aims to collect and analyze poses a significant challenge. This letter proposes an automated processing pipeline, using state-of-the-art computer vision technology to estimate demographic factors from users’ faces and reidentify them to establish usage patterns. It overcomes the problem of explicitly recruiting participants and having them fill questionnaires about their demographic background and allows one to study completely unsolicited and nonprimed interactions over long periods of time. This letter offers a comprehensive assessment of the performance of the automated analysis with data from 68 days of continuous deployment of a robot in a care home and also presents a set of findings obtained through the analysis, underpinning the viability of the approach.
Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things

In industrial Internet of things (IIoT), peer-to-peer (P2P) energy trading ubiquitously takes place in various scenarios, e.g., microgrids, energy harvesting networks, and vehicle-to-grid networks. However, there are common security and privacy challenges caused by untrusted and nontransparent energy markets in these scenarios. To address the security challenges, we exploit the consortium blockchain technology to propose a secure energy trading system named energy blockchain. This energy blockchain can be widely used in general scenarios of P2P energy trading getting rid of a trusted intermediary. Besides, to reduce the transaction limitation resulted from transaction confirmation delays on the energy blockchain, we propose a credit-based payment scheme to support fast and frequent energy trading. An optimal pricing strategy using Stackelberg game for credit-based loans is also proposed. Security analysis and numerical results based on a real dataset illustrate that the proposed energy blockchain and credit-based payment scheme are secure and efficient in IIoT.
Co-design for Extreme Large Package Solution with Embedded Fine Pitch Interposer (EFI) Technology

Embedded Fine pitch Interposer (EFI) technology using Fan-out approach is demonstrated for heterogeneous integration as a cost effective and enabling technology. Co-design modelling methodology is established for EFI technology, including wafer process, package assembly and board level reliability to optimize structure design, wafer process, assembly process and material selection. Through wafer warpage modelling, desirable glass carrier, photo-dielectric and molding compound materials are suggested to reduce wafer warpage. Effects of second molding and stiffener on assembly induced package warpage are simulated. Board level solder joint reliability is investigated and optimized based on simulation results. The optimized materials and structure design are determined based on co-design modeling and simulation results to achieve successful EFI wafer fabrication, assembly process and board level reliability for extreme large package with EFI interposer.
Creating More Efficient Distributed Cameras: A Distributed Multievent Ensnaring Scheme Based on Scalar Leader Determination

This article presents a novel approach called camera-based multievent tracking involving minimum mean distant scalar leader determination for camera activation (CMT-MDSD). This method segregates the entire monitored region into a number of virtual compartments, and, in each of the compartments, scalar leaders (SLs) are effectively selected. When events occur, the chosen SLs operate as the representatives of all of the scalar sensors in each of the compartments and report the event information to their respective camera sensors.
Evaluating Critical Security Issues of the IoT World: Present and Future Challenges

Social Internet of Things (SIoT) is a new paradigm where Internet of Things (IoT) merges with social networks, allowing people and devices to interact, and facilitating information sharing. However, security and privacy issues are a great challenge for IoT but they are also enabling factors to create a “trust ecosystem. ” In fact, the intrinsic vulnerabilities of IoT devices, with limited resources and heterogeneous technologies, together with the lack of specifically designed IoT standards, represent a fertile ground for the expansion of specific cyber threats. In this paper, we try to bring order on the IoT security panorama providing a taxonomic analysis from the perspective of the three main key layers of the IoT system model: 1) perception; 2) transportation; and 3) application levels. As a result of the analysis, we will highlight the most critical issues with the aim of guiding future research directions.
Multimodal Language Analysis with Recurrent Multistage Fusion

Computational modeling of human multimodal language is an emerging research area in natural language processing spanning the language, visual and acoustic modalities. Comprehending multimodal language requires modeling not only the interactions within each modality (intra-modal interactions) but more importantly the interactions between modalities (cross-modal interactions). In this paper, we propose the Recurrent Multistage Fusion Network (RMFN) which decomposes the fusion problem into multiple stages, each of them focused on a subset of multimodal signals for specialized, effective fusion. Cross-modal interactions are modeled using this multistage fusion approach which builds upon intermediate representations of previous stages. Temporal and intra-modal interactions are modeled by integrating our proposed fusion approach with a system of recurrent neural networks. The RMFN displays state-of-the-art performance in modeling human multimodal language across three public datasets relating to multimodal sentiment analysis, emotion recognition, and speaker traits recognition. We provide visualizations to show that each stage of fusion focuses on a different subset of multimodal signals, learning increasingly discriminative multimodal representations.
Cyclic Lipodepsipeptides From Pseudomonas spp. – Biological Swiss-Army Knives

Cyclic lipodepsipeptides produced by Pseudomonas spp. (Ps-CLPs) are biosurfactants that constitute a diverse class of versatile bioactive natural compounds with promising application potential. While chemically diverse, they obey a common structural blue-print, allowing the definition of 14 distinct groups with multiple structurally homologous members. In addition to antibacterial and antifungal properties the reported activity profile of Ps-CLPs includes their effect on bacterial motility, biofilm formation, induced defense responses in plants, their insecticidal activity and anti-proliferation effects on human cancer cell-lines. To further validate their status of potential bioactive substances, we assessed the results of 775 biological tests on 51 Ps-CLPs available from literature. From this, a fragmented view emerges. Taken as a group, Ps-CLPs present a broad activity profile. However, reports on individual Ps-CLPs are often much more limited in the scope of organisms that are challenged or activities that are explored. As a result, our analysis shows that the available data is currently too sparse to allow biological function to be correlated to a particular group of Ps-CLPs. Consequently, certain generalizations that appear in literature with respect to the biological activities of Ps-CLPs should be nuanced. This notwithstanding, the data for the two most extensively studied Ps-CLPs does indicate they can display activities against various biological targets. As the discovery of novel Ps-CLPs accelerates, current challenges to complete and maintain a useful overview of biological activity are discussed.
Environmental policies for drinks packaging in Georgia: A mini-review of EPR policies with a focus on incentive compatibility

The paper investigates various approaches to an environmental policy regarding drinks containers in Georgia. Currently, most of the waste containers are landfilled or pollute the environment through littering, and separate collection and recycling of drinks containers are almost nonexistent. The Association Agreement with the EU, which entered into force in July 2016, stipulates the development of up-to-date waste management activities in this transition country. In accordance with the legal framework, this mini-review proposes an EPR policy for Georgia, based on the waste hierarchy. Various approaches for such an EPR policy are reviewed as regards their feasibility for a transition country, but in particular with regard to incentive compatibility: the policy should guide producers and consumers to comply with the regulations. Some cost estimates demonstrate the financial feasibility of the recommended solution. Practical experiences from Austria, Bulgaria, France and Germany provide a European context.
A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing

This article proposes a formal model that integrates cognitive and psychodynamic psychotherapeutic models of psychopathy to show how two major psychopathic traits called lacks remorse and self-aggrandizing can be understood as a form of abnormal Bayesian inference about the self. This model draws on the predictive coding (i.e., active inference) framework, a neurobiologically plausible explanatory framework for message passing in the brain that is formalized in terms of hierarchical Bayesian inference. In summary, this model proposes that these two cardinal psychopathic traits reflect entrenched maladaptive Bayesian inferences about the self, which defend against the experience of deep-seated, self-related negative emotions, specifically shame and worthlessness. Support for the model in extant research on the neurobiology of psychopathy and quantitative simulations are provided. Finally, we offer a preliminary overview of a novel treatment for psychopathy that rests on our Bayesian formulation.
Nutritional Composition Assessment of 3000 Individualized Parenteral Nutrition Bags in a Tertiary Referral Hospital: Current Prescribing Patterns

Individualized parenteral nutrition is the most specialized type of nutritional support in the hospital setting. The composition and prescribing patterns for parenteral nutrition have evolved due to new emerging scientific evidence. In the last few years, there has been a tendency to increase the nitrogen and lipid content and decrease the carbohydrate content. To assess the prescribing pattern in a tertiary referral hospital in Spain, the nutritional composition of individualized parenteral nutrition was evaluated retrospectively from January to December of 2016. A total of 3029 parenteral nutrition units were analysed, corresponding to 257 hospitalized adult patients. Medical specialists in General Surgery and Haematology were the most common petitioners. The three most frequently prescribed parenteral nutrition formulae contained 13.4 (28.8%), 15.7 (19.54%) and 17.9 (17.79%) g of nitrogen. The quantity of carbohydrates and lipids showed a mean non-protein calories-to-nitrogen ratio of approximately 78:1 and a carbohydrate-to-lipid ratio that was near 50:50 in most cases. These results suggest a trend towards the administration of parenteral nutrition with a high content of nitrogen and smaller proportion of the non-protein components.
A Model of Household Savings and Alternative Investments in Rural China*

This paper explores the relationship between monetary policy, prices, and rural household savings and investment behavior in China. We first develop a two-period life-cycle model with bequests for China's rural economy to analyze the impacts of interest rates, agricultural product prices, and housing prices on rural households’ capital allocation choices (households’ savings deposits, investment in private housing, and investment in agricultural productive fixed assets). We then empirically estimate the theoretical model equations with a newly compiled panel dataset covering the rural areas of 26 provinces from 2001 to 2016. Our empirical results suggest that high housing prices are harmful to the rural economy as they reduce productive investment and consumption. An efficient interest rate market and land tenure system reform are recommended.
Technical Change, Exports, and Employment Growth in China: A Structural Decomposition Analysis*

This paper analyzes the sources of employment growth and assesses the contribution of exports to job creation in China. To do so, we utilize an input–output table to decompose employment growth into contributions from technical change, labor productivity, domestic final demand, and exports of domestically produced output. Our main data source is the annual input–output data from the China Industrial Productivity Database covering 1981–2010, of which employment figures have been adjusted to account for serious structural breaks observed in official statistics. The input–output framework allows us to explore both the direct impact of exports on employment within a given industry and the indirect impact through inter-industry transactions. Our major findings are four-fold. First, the increase in final demand, including both domestic demand and exports, is the main driver of employment growth in China. The strong growth in final demand offsets the decline in employment caused by enhanced labor productivity, especially during the 2000s. Second, the contribution of exports to job creation has increased significantly, especially in manufacturing and agriculture, following China's accession to the World Trade Organization. Third, labor productivity accelerated in all sectors, led by manufacturing. Last, most technical upgrading occurs in manufacturing, whereas agriculture experiences increased technical upgrading through the decline in labor usage.
Comprehensive review of Hepatitis B Virus‐associated hepatocellular carcinoma research through text mining and big data analytics

PubMed was text mined to glean insights into the role of Hepatitis B virus (HBV) in hepatocellular carcinoma (HCC) from the massive number of publications (9249) available to date. Reports from ∼70 countries identified >1300 human genes associated with either the Core, Surface or X gene in HBV‐associated HCC. One hundred and forty‐three of these host genes, which can potentially yield 1180 biomolecular interactions, each were reported in at least three different publications to be associated with the same HBV. These 143 genes function in 137 pathways, involved mainly in the cell cycle, apoptosis, inflammation and signalling. Fourteen of these molecules, primarily transcriptional regulators or kinases, play roles in several pathways pertinent to the hallmarks of cancers. ‘Chronic’ was the most frequent word used across the 9249 abstracts. A key event in chronic HBV infection is the integration of HBV into the host genome. The advent of cost‐effective, next‐generation sequencing technology facilitated the employment of big‐data analytics comprehensively to characterize HBV–host integration within HCC patients. A total of 5331 integration events were reported across seven publications, with most of these integrations observed between the Core/X gene and the introns of genes. Nearly one‐quarter of the intergenic integrations are within repeats, especially long interspersed nuclear elements (LINE) repeats. Integrations within 13 genes were each reported by at least three different studies. The human gene with the most HBV integrations observed is the TERT gene where a total of 224 integrations, primarily at its promoter and within the tumour tissue, were reported by six of seven publications. This unique review, which employs state‐of‐the‐art text‐mining and data‐analytics tools, represents the most complete, systematic and comprehensive review of nearly all the publications associated with HBV‐associated HCC research. It provides important resources to either focus future research or develop therapeutic strategies to target key molecules reported to play important roles in key pathways of HCC, through the systematic analyses of the commonly reported molecules associated with the various HBV genes in HCC, including information about the interactions amongst these commonly reported molecules, the pathways in which they reside as well as detailed information regarding the viral and host genes associated with HBV integration in HCC patients. Hence this review, which highlights pathways and key human genes associated with HBV in HCC, may facilitate the deeper elucidation of the role of HBV in hepato‐carcinogenesis, potentially leading to timely intervention against this deadly disease.
The ATR-Activation Domain of TopBP1 Is Required for the Suppression of Origin Firing during the S Phase

The mammalian DNA replication program is controlled at two phases, the licensing of potential origins of DNA replication in early gap 1 (G1), and the selective firing of a subset of licenced origins in the synthesis (S) phase. Upon entry into the S phase, serine/threonine-protein kinase ATR (ATR) is required for successful completion of the DNA replication program by limiting unnecessary dormant origin activation. Equally important is its activator, DNA topoisomerase 2-binding protein 1 (TopBP1), which is also required for the initiation of DNA replication after a rise in S-phase kinase levels. However, it is unknown how the ATR activation domain of TopBP1 affects DNA replication dynamics. Using human cells conditionally expressing a TopBP1 mutant deficient for ATR activation, we show that functional TopBP1 is required in suppressing local dormant origin activation. Our results demonstrate a regulatory role for TopBP1 in the local balancing of replication fork firing within the S phase.