Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Network User Plane Switching Using Linux

Cellular data traffic volume is increasing. High bandwidth of video streaming, Internet of Things penetration and upcoming fifth generation radio network are a response to meet this increasing demand for mobile data. With new lower latency radio technologies, new use cases for mobile connectivity become viable. The emergence of virtualization and software defined infrastructure and orchestration allow new innovation in networking. Combining technologies and implementing additional abstraction frees human resources from mundane administration tasks. Standards and common interfaces speed up service integration and time-to-market of new services. Virtual resources can be scaled on demand, and modular services provide requested services while conserving resources by scaling only needed infrastructure. Virtualization provides reliability and flexibility. Ultra-reliable communications expected with the new mobile networks bring additional costs which can be mitigated with virtualization layers and softwarization of the network configuration. Existing physical devices are flexibly used for multiple purposes based on current needs with automated deployment. This thesis demonstrates a solution to increase modularity in the mobile packet core responsible for forwarding user data in a network. The prototype separates users from each other with common computer hardware with network elements implemented in software. The system is evaluated with the prototype in a test cellular network established in the laboratory. A monitoring system for compute resources available is implemented in the prototype, and data is analyzed.
Investigating the Effect of Implicit Browsing Behaviour on Students’ Performance in a Task Specific Context

This paper focuses on how students access web pages in a task specific information retrieval. An investigation on how students search the web for their current needs was carried out and students' behavioural characteristics as they surf the internet to answer some given online multiple choice questions was collected. Twenty three students participated in the study and a number of behavioural characteristics were captured. Camtasia studio 7 was used to record their searching activity. The result shows that 328 web pages were visited by the students, and among the parameters captured, the time spent on the search task has a stronger correlation with the students' performance than any other captured parameter. The time spent on a document can be used as a good implicit indicator to infer learner's interest in a context based recommender system.
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions

The growing number of biomedical publications is a challenge for human researchers, who invest considerable effort to search for relevant documents and pinpointed answers. Biomedical Question Answering can automatically generate answers for a user’s topic or question, significantly reducing the effort required to locate the most relevant information in a large document corpus. Extractive summarization techniques, which concatenate the most relevant text units drawn from multiple documents, perform well on automatic evaluation metrics like ROUGE, but score poorly on human readability, due to the presence of redundant text and grammatical errors in the answer. This work moves toward abstractive summarization, which attempts to distill and present the meaning of the original text in a more coherent way. We incorporate a sentence fusion approach, based on Integer Linear Programming, along with three novel approaches for sentence ordering, in an attempt to improve the human readability of ideal answers. Using an open framework for configuration space exploration (BOOM), we tested over 2000 unique system configurations in order to identify the best-performing combinations for the sixth edition of Phase B of the BioASQ challenge.
Differentiation Bias during Aging of Human Mammary Epithelia Accumulation of Multipotent Progenitors with a Basal

Women older than 50 years account for 75% of new breast cancer diagnoses, and the majority of these tumors are of a luminal subtype. Although age-associated changes, including endocrine profiles and alterationswithin the breast microenvironment, increase cancer risk, an understanding of the cellular andmolecular mechanisms that underlies these observations is lacking. In this study, we generated a large collection of normal humanmammary epithelial cell strains from women ages 16 to 91 years, derived from primary tissues, to investigate the molecular changes that occur in aging breast cells. We found that in finite lifespan cultured and uncultured epithelial cells, aging is associated with a reduction of myoepithelial cells and an increase in luminal cells that express keratin 14 and integrin-a6, a phenotype that is usually expressed exclusively inmyoepithelial cells inwomen younger than 30 years. Changes to the luminal lineage resulted from age-dependent expansion of defective multipotent progenitors that gave rise to incompletely differentiated luminal or myoepithelial cells. The aging process therefore results in both a shift in the balance of luminal/myoepithelial lineages and to changes in the functional spectrum of multipotent progenitors, which together increase the potential for malignant transformation. Together, our findings provide a cellular basis to explain the observed vulnerability to breast cancer that increases with age. Cancer Res; 72(14); 3687–701. 2012 AACR.
The effects of chronic and acute physical and psychological Stress on Brain- Derived Neurotrophic Factor in Rats

Introduction: Different kinds of chronic stress can induce various effects on body systems including the brain. One of the factors related to brain function is brain derived neurotropic factor (BDNF). So, the purpose of the present study was to evaluate the influence of physical stress as aerobic exercise/training and psychological stress on brain derived neurotropic factor (BDNF) in Wistar rats. Material & Methods: The study was semi experimental. 90 healthy male Wistar rats (weight 200±40 gr) were randomly divided in to 6 groups of Exercise (EX), Emotional stress (ES), Physical stress (PS), exercise combined with emotional (EXES), exercise combined with physical stress (EXPS) and control. Wistar rats were exposed to programs included one session (acute) and two weeks (chronic) aerobic training on treadmill with or without emotional and physical stress. Blood samples, for BDNF measurement, were taken 12 hours following the last session of treatment. Statistical tests of analysis of variance and follow up Bonferroni test were used for data analysis. Results: After one session of the experiment, BDNF increased significantly in the EX group compared to other groups (p<0.05). After two weeks of training, BDNF significantly decreased in the ES groups compared to other groups, while BDNF increased in EXES compared to ES (P<0.05) group. One session of EX increased BDNF compared to non-EX groups, but following two weeks, chronic ES per se reduced BDNF compared to non-ES groups. But when ES combined with EX caused increasing of BDNF. Conclusions: Present findings suggest that EX can probably prevent decreasing effect of ES on BDNF. However, future research should clarify the source of BDNF changes.
Analysis and Design of a Wideband Endfire Circularly Polarized Septum Antenna

A novel millimeter-wave (MMW) endfire wideband circularly polarized (CP) antenna with simple structure is reported. By introducing two symmetrical septum blades filled in the widened rectangular waveguide, the proposed antenna can obtain a 40% bandwidth for both axial ratio (AR) < 2.5 dB and <inline-formula> <tex-math notation="LaTeX">$S_{11} < -15$ </tex-math></inline-formula> dB. The CP operating mechanism of the antenna has been explained, using a three-port structure. The parametric studies for all of the antenna parameters are carried out to estimate their influences on antenna performance. The sharp corner in the AR plot is also explained by mode analysis. Its influences on the radiation pattern, gain, and reflection coefficient at this frequency point are evaluated. The proposed antenna has been fabricated and measured. The simulation results are in good agreement with the measurement results. Furthermore, this antenna is an appropriate choice for designing a MMW high-efficiency wideband antenna array. An <inline-formula> <tex-math notation="LaTeX">$8 \times 8$ </tex-math></inline-formula> array with 64 equal amplitude and phase wave ports in HFSS has been designed to evaluate the array performance, which shows that the array can achieve 40% operating bandwidth without considering the bandwidth of feeding network. The simulated aperture efficiency of the array is above 85.34% from 50 to 75 GHz.
Six Years Later: Effect of Family Involvement Training on the Language Skills of Children from Migrant Families.

This six year follow-up study to the previously published quasi-experimental study on this group of children and their migrant families examines the effects of a parent involvement program on kindergarten children’s families. Parents in the original study participated in sessions available throughout their child’s kindergarten year that helped them engage their children in academic activities linked to their children’s curriculum in school. These parent involvement sessions were implemented as one component of a Migrant Education Even Start family literacy program. The study was conducted at a rural Midwestern elementary school with 22 kindergarten children from families participating in the parent involvement training program, and 28 kindergarten children from families not participating. This longitudinal study first followed these children through the end of first grade. Findings indicated that by the end of first grade, children from families participating in the parent involvement training program scored significantly higher on language measures than children in the control group. Now researchers at the University of Nebraska Medical Center have followed these children through 5 th or 6 th grade and have collected state reading assessment scaled scores. Results demonstrate that children in the treatment group again scored significantly higher than children in the con trol group. This suggests that equipping migrant families with new abilities to nurture their children’s language skills leads to positive and lasting reading outcomes for their children.
Stellar population and dust extinction in an ultraluminous infrared galaxy at z = 1.135

We present the detailed optical to far-infrared (far-IR) observations of SST J1604+4304, an ultraluminous IR galaxy at z = 1.135. Analysing the stellar absorption lines, namely, the Ca II H & K and Balmer H lines in the optical spectrum, we derive the upper limits of an age for the stellar population. Given this constraint, the minimum χ 2 method is used to fit the stellar population models to the observed spectral energy distribution from 0.44 to 5.8 μm. We find the following properties. The stellar population has an age 40-200 Myr with a metallicity 2.5 Z ⊙ . The starlight is reddened by E(B — V) = 0.8. The reddening is caused by the foreground dust screen, indicating that dust is depleted in the starburst site and the starburst site is surrounded by a dust shell. The IR (8-1000 μm) luminosity is L ir = 1.78 ± 0.63 x 10 12 L ⊙ . This is two times greater than that expected from the observed starlight, suggesting either that 1/2 of the starburst site is completely obscured at UV-optical wavelengths, or that 1/2 of L ir comes from active galactic nucleus (AGN) emission. The inferred dust mass is 2.0 ± 1.0 × 10 8 M ⊙ . This is sufficient to form a shell surrounding the galaxy with an optical depth E(B — V) = 0.8. From our best stellar population model - an instantaneous starburst with an age 40 Myr - we infer the rate of 19 supernovae per year. Simply analytical models imply that 2.5 Z ⊙ in stars was reached when the gas mass reduced to 30 per cent of the galaxy mass. The gas metallcity is 4.8 Z ⊙ at this point. The gas-to-dust mass ratio is then 120 ± 73. The inferred dust production rate is 0.24 ± 0.12M ⊙ per SN. If 1/2 of L ir comes from AGN emission, the rate is 0.48 ± 0.24 M ⊙ per SN. We discuss the evolutionary link of SST J1604+4304 to other galaxy populations in terms of the stellar masses and the galactic winds, including optically selected low-luminosity Lyman α-emitters and submillimeter selected high-luminosity galaxies.
Parallelism and divergence in immune responses: a comparison of expression levels in two lakes

Question: How do immune phenotypes differ between infected and uninfected wild individuals, and is the effect the same in different populations? Organisms: Threespine stickleback (Gasterosteus aculeatus) from two lake populations on the island of North Uist, Scotland, sampled in May 2015. Methods: For each fish, we recorded length, sex, reproductive status, condition, and parasitic infection. We measured the expression levels of eight genes that act as key markers of immune system function using qPCR, and then examined the relationship between measured factors and immune gene expression profiles within each population. Conclusions: Populations differed significantly in their immune gene expression profiles. Within each population, multiple factors, including condition, reproductive status, and Schistocephalus solidus infection levels, were found to correlate with expression levels of different arms of the immune system.
Cervical Cancer Control for Hispanic Women in Texas: Effective Strategies from Research and Practice

Purpose— Hispanic women in Texas have among the highest rates of cervical cancer incidence and mortality in the country. Increasing regular Papanicolaou test screening and HPV vaccination are crucial to reduce the burden of cervical cancer among Hispanics. This paper presents lessons learned from community-based cervical cancer control programs in Texas and highlights effective intervention programs, methods and strategies. Methods— We reviewed and summarized cervical cancer control efforts targeting Hispanic women in Texas, focusing on interventions developed by researchers at the University of Texas, School of Public Health. We identified commonalities across programs, highlighted effective methods, and summarized lessons learned to help guide future intervention efforts. Results— Community-academic partnerships were fundamental in all steps of program development and implementation. Programs reviewed addressed psychosocial, cultural, and access barriers to cervical cancer control among low-income Hispanic women. Intervention approaches included lay health worker (LHW) and navigation models and used print media, interactive tailored media, photonovellas, client reminders, one-on-one and group education sessions. Conclusions— Small media materials combined with LHW and navigation approaches were effective in delivering Pap test screening and HPV vaccination messages and in linking women to services. Common theoretical methods included in these approaches were modeling, verbal persuasion, and facilitating access. Adaptation of programs to an urban environment revealed that intensive navigation was needed to link women with multiple access barriers to health services. systematic for 2) academic-community interventions 3) media approaches 4) coordination
MODELING SCALE-FREE NETWORKS WITH HETEROGENEOUS NODES

The study of scale-free networks typically assumes that either nodes are homogenously distributed or one strong node monopolizes the entire network. While this makes the analysis trackable, it is not appropriate for scenarios, such as terrorist networks, in which nodes play significant different roles in the network. In this paper, we classify nodes into four types by the roles they play. Nodes from different types are assigned various fitness values. The presence of varied fitness values influences the probability of a node to receive preferentially links from other nodes. Thus our model involves simultaneous interaction between nodes of varied strengths. Although the model allocates the same fitness strength to all nodes of the same type, analytical results suggest that it is sufficient to demonstrate the two key features of scalefree networks: power-law distribution of degree and preferential attachment of new nodes. Simulations are performed to verify the proposed model.
Grape harvest dates as a proxy for Swiss April to August temperature reconstructions back to AD 1480

We present an annually resolved record of grape harvest dates for Switzerland. The strong negative relationship between grape harvest dates and April–August temperatures allowed a new reconstruction, with associated uncertainties, to be derived back to 1480. Calibration (1928–1979) was performed with monthly data from the Basel and Geneva stations and verified over 1980–2006. Twelve days of grape harvest difference correspond to around 1°C April–August temperature difference. Periods cooler (late grape harvest dates) than the 1961–1990 mean are reconstructed during the 17th century and at the beginning of the 19th century. Warmer conditions were experienced in the early 18th century and during the recent decades, in agreement with grape harvest temperature reconstructions from France and other independent temperature estimates. On decadal (annual) time‐scales the earliest harvests were in the 1580s (2003) and the latest vintages in the 1740s (1816). Large tropical volcanic eruptions led to significantly later grape harvest dates (cooling) one to two years after the event.
An Spin / Promela Application for Model checking UML Sequence Diagrams

UML sequence diagrams usually represent the behavior of systems execution. Automated verification of UML sequence diagrams’ correctness is necessary because they can model critical algorithmic behaviors of information systems. UML sequence diagrams applications are often on the requirement and design phases of the software development process, and their correctness guarantees the accurate and transparent implemen-tation of software products. The primary goal of this article is to review and improve the translation of basic and complex UML sequence diagrams into Spin / Promela code taking into account behavioral properties and elements of combined fragments of UML sequence diagrams for synchronous and asynchronous messages. This article also redefines a previous proposal for a transition system for UML sequence diagrams by specifying Linear Temporal Logic (LTL) formulas to verify the model correctness. We present an application example of our modeling proposal on a modified version of a traditional case study by using UML sequence diagrams to translate it into Promela code to verify their properties and correctness.
Comparative Programming Languages

The term is Prolog’s basic data structure. Everything is expressed in the form of a term. This includes programs and data. Prolog’s term is similar to Scheme’s S-Expression. Prolog has four basic types of terms in Prolog: 1. variables start with an uppercase letter; 2. compound terms are lists, strings, and structures; 3. atoms start with a lower-case letter (they are similar to Scheme’s symbols); 4. numbers.
In silico analysis of phytochemical compounds for optimizing the inhibitors of HMG CoA reductase

Article history: Received on: 06/08/2013 Revised on: 29/08/2013 Accepted on: 15/09/2013 Available online: 30/09/2013 HMGCoA Reductase (HMGCR), a key enzyme in the cholesterol biosynthesis, catalyzes the conversion of 3hydroxy-3-methylglutaryl coenzyme A (HMGCoA) into mevalonate. Thus this enzyme is the target of the cholesterol-lowering drugs known as the statins. Phytoformulation1 is a polyherbal formulation consists of the extracts of plant constituents. The present study was designed to examine the ability of the secondary metabolites of Phytoformulation 1 as an antagonist to HMGCoA reductase enzyme by in silico molecular docking. The docking analysis was carried out by Ligand Fit Accelry’s Discovery studio 2.1, which allows virtual screening of database of compounds and predict the strongest binders based on various scoring functions. Fifteen ligands were docked with HMG CoA reductase receptor, out of which four compounds Dichloroacetic acid 2, 2dimethylpropyl ester, 1, 6, 10-Dodecatriene-3-ol, 3, 7, 11-trimethyl-[S-(Z)]-, Isopropyl acrylate and 3, 3Dimethylacryloyl chloride were able to form hydrogen bonds with active site of target protein. Thus it may be concluded that the secondary metabolites of Phytoformulation 1 can be an inhibitor of the HMGCR receptor that could be used to treat hyperlipidemia and further in vivo studies may be carried out to prove the same.
FABRICATION AND TESTING OF SCAFFOLDS FOR CELL GROWTH FROM IONIC LIQUID SOLUBILIZED FIBROIN

Gupta, Maneesh. M.S. in Engineering, Department of Biomedical, Industrial & Human Factors Engineering, Wright State University, 2007. Fabrication and Testing of Scaffolds for Cell Growth from Ionic Liquid Solubilized Fibroin. The advent of tissue engineering has spurred research into developing materials to act as scaffolds for tissue growth. These scaffolds require materials capable of mimicking the in vivo conditions so that tissues can be grown effectively in vitro. Silk is an attractive biomaterial for use in tissue engineering applications because of its slow degradation, excellent mechanical properties, and biocompatibility. The major objective of the research in this thesis is to demonstrate a simple method to cast films directly from silk fibroin dissolved in an ionic liquid. The films cast from the silk ionic liquid solution were found to support normal keratinocyte proliferation and differentiation. The versatility of the silk ionic liquid solutions and the ability to process large amounts of silk into materials with controlled surface topography directly from the dissolved silk ionic liquid solution make it an interesting material for a wide variety of tissue engineering applications.
Profiling DNN Workloads on a Volta-based DGX-1 System

High performance multi-GPU systems are widely used to accelerate training of deep neural networks (DNNs) by exploiting the inherently massive parallel nature of the training process. Typically, the training of DNNs in multi-GPU systems leverages a data-parallel model in which a DNN is replicated on every GPU, and each GPU performs Forward Propagation (FP), Backward Propagation (BP) and, Weight Update (WU). We analyze the WU stage that is composed of collective communication (e.g., allReduce, broadcast), which demands very efficient communication among the GPUs to avoid diminishing returns when scaling the number of GPUs in the system. To overcome this issue, different data transfer mechanisms and libraries have been introduced by NVIDIA, and adopted by high-level frameworks to train DNNs. In this work, we evaluate and compare the performance of peer-to-peer (P2P) data transfer method and NCCL library-based communication method for training DNNs on a DGX-1 system consisting of 8 NVIDIA Volta-based GPUs. We profile and analyze the training of five popular DNNs (GoogLeNet, AlexNet, Inception-v3, ResNet and LeNet) using 1, 2, 4 and 8 GPUs. We show the breakdown of the training time across the FP+ BP stage and the WU stage to provide insights about the limiting factors of the training algorithm as well as to identify the bottlenecks in the multi-GPU system architecture. Our detailed profiling and analysis can help programmers and DNN model designers accelerate the training process in DNNs.