Miracle-dz/UniFAR-FTUs huggingface dataset:
A Prototype for an E-Recruitment Platform Using Semantic Web Technologies

Nowadays, the continuous demand for qualified candidates in the IT domain has empowered the use of e-Recruitment tools, which are becoming more and more exploited at the expense of the traditional methods. This study focuses on the use of ontologies in developing a job recommender system, which helps to automatically match job offers with the candidates' profiles and in reverse. In order to design the IT e-Recruitment ontology we have gathered a list with all the features a platform of this kind should provide, for both the job seeker and the recruiter. Based on the selected requirements, we developed the ontology that offers all the necessary means to implement such a job recommender system, designed to connect people with job opportunities and backwards. The second part of the paper proposes a Java based architecture to implement the e-Recruitment platform. To convert the users' input into RDF description, RDF2Go and RDFBeans APIs are employed. Storing and retrieving the data make use of the Jena Framework, which provides dedicated interfaces for accessing the Fuseki2 Server over HTTP. Finally, the prototype of the e-Recruitment platform is presented, together with its core functionalities.
Separate, Measure and Conquer

We show a method resulting in the improvement of several polynomial-space, exponential-time algorithms. The method capitalizes on the existence of small balanced separators for sparse graphs, which can be exploited for branching to disconnect an instance into independent components. For this algorithm design paradigm, the challenge to date has been to obtain improvements in worst-case analyses of algorithms, compared with algorithms that are analyzed with advanced methods, notably Measure and Conquer. Our contribution is the design of a general method to integrate the advantage from the separator-branching into Measure and Conquer, for a more precise and improved running time analysis. We illustrate the method with improved algorithms for Max (r,2)-Csp and #Dominating Set. An instance of the problem Max (r,2)-CSP, or simply Max 2-CSP, is parameterized by the domain size r (often 2), the number of variables n (vertices in the constraint graph G), and the number of constraints m (edges in G). When G is cubic, and omitting sub-exponential terms here for clarity, we give an algorithm running in time r(1/5)n = r(2/15) m the previous best was r(1/4)n =r(1/6)m. By known results, this improvement for the cubic case results in an algorithm running in time r(9/50)m for general instances; the previous best was r(19/100)m. We show that the analysis of the earlier algorithm was tight: our improvement is in the algorithm, not just the analysis. The same running time improvements hold for Max Cut, an important special case of Max 2-CSP, and for Polynomial and Ring CSP, generalizations encompassing graph bisection, the Ising model, and counting. We also give faster algorithms for #Dominating Set, counting the dominating sets of every cardinality 0, … , n for a graph G of order n. For cubic graphs, our algorithm runs in time 3(1/5)n the previous best was 2(1/2)n. For general graphs, we give an unrelated algorithm running in time 1.5183n the previous best was 1.5673n. The previous best algorithms for these problems all used local transformations and were analyzed by the Measure and Conquer method. Our new algorithms capitalize on the existence of small balanced separators for cubic graphs—a non-local property—and the ability to tailor the local algorithms always to “pivot” on a vertex in the separator. The new algorithms perform much as the old ones until the separator is empty, at which point they gain because the remaining vertices are split into two independent problem instances that can be solved recursively. It is likely that such algorithms can be effective for other problems too, and we present their design and analysis in a general framework.
Facebook Usage as Social Screening. Exploring the Approach of Admissions Officers from Management Colleges

The online social networks allow individuals to continuously create and model their self-presentations and representations. Facebook stands for a relevant example as people are given the uncensored opportunity to unfold their online selves according to their interests, preferences, goals and expectations. As a social networking site, Facebook is particularly used for reasons related to social documentation (social searching) and maintaining preexisting close relationships (bonding social capital) that imply knowledge of new information about persons met offline, and less for social exploration (social browsing) that refers to using Facebook to initiate new contacts. The extant recent literature often approach the usage of Facebook as a pre-employment screening tool with a view to select the fittest candidates for the job. Still, there are few studies which address the professors’ endeavor to use social media, in general and Facebook, in particular, as a complementary criterion when selecting future students. At this level, Facebook profiles are liable to stand for cogent indicators for the prospects’ personalities and potential, for their predispositions and professional perspectives. Starting from this point, the current research aims at investigating the approaches on the aforementioned issue of several professors from Management colleges in Romania who are in charge of settling the evaluation reference points of the college admissions procedure. The research is the more relevant so as the future graduate managers should possess some key characteristics which may be anticipated or pre-assessed based on their Facebook profile cues. In order to test the subjects’ openness to consider the implications of Facebook usage as a thorough social documentation tool, nineteen in-depth interviews were conducted. The findings show that there is a high degree of skepticism towards using Facebook as a source of reliable information.
"I know it when I see it": Perceptions of Code Quality

Code quality is a key issue in software development. The ability to develop software of high quality is therefore a key learning goal of computing programs. However, there are no universally accepted measures to assess the quality of code and current standards are consideredweak. Furthermore, there are many facets to code quality. Defining and explaining the concept of code quality is therefore a challenge faced by many educators. In this working group, we investigate the perceptions of code quality of students, teachers, and professional programmers. In particular, we are interested in the differences in views of code quality by students, educators, and professional programmers and which quality aspects they consider as more or less important. Furthermore, we are interested in which sources of information on code quality and its assessment are used by these groups. Eventually, this will help us to develop resources that can be used to broaden students' views on software quality.
Low-Dose Irradiation Alters the Transcript Profiles of Human Lymphoblastoid Cells Including Genes Associated with Cytogenetic Radioadaptive Response

Abstract Coleman, M. A. , Yin, E. , Peterson, L. E. , Nelson, D. , Sorensen, K. , Tucker, J. D. and Wyrobek, A. J. Low-Dose Irradiation Alters the Transcript Profiles of Human Lymphoblastoid Cells Including Genes Associated with Cytogenetic Radioadaptive Response. Radiat. Res. 164, 369–382 (2005). Low-dose ionizing radiation alters the gene expression profiles of mammalian cells, yet there is little understanding of the underlying cellular mechanisms responsible for these changes or of their consequences for genomic stability. We investigated the cytogenetic adaptive response of human lymphoblastoid cell lines exposed to 5 cGy (priming dose) followed by 2 Gy (challenge dose) compared to cells that received a single 2-Gy dose to (a) determine how the priming dose influences subsequent gene transcript expression in reproducibly adapting and non-adapting cell lines, and (b) identify gene transcripts that are associated with reductions in the magnitude of chromosomal damage after the challenge dose. The transcript profiles were evaluated using oligonucleotide arrays and RNA obtained 4 h after the challenge dose. A set of 145 genes (false discovery rate = 5%) with transcripts that were affected by the 5-cGy priming dose fell into two categories: (a) a set of common genes that were similarly modulated by the 5-cGy priming dose irrespective of whether the cells subsequently adapted or not and (b) genes with differential transcription in accordance with the cell lines that showed either adaptive or non-adaptive outcomes. The common priming-dose response genes showed up-regulation for protein synthesis genes and down-regulation of metabolic and signal transduction genes (>10-fold differences). The genes associated with subsequent adaptive and non-adaptive outcomes involved DNA repair, stress response, cell cycle control and apoptosis. Our findings support the importance of TP53-related functions in the control of the low-dose cytogenetic radioadaptive response and suggest that certain low-dose-induced alterations in cellular functions are predictive for the risk of subsequent genomic damage.
Agenda Setting Theory: A Critique of Maxwell McCombs & Donald Shaw’s Theory In Em Griffin’s A First Look at Communication Theory

The media has long been a powerful force in today’s world, capable of delivering copious amounts of information within our society on an increasingly quick basis. In the last century, media’s audience range and popularity continued to grow as more and more people were able to access the media easily. As a result of this substantial growth, it was observed in the 1970’s that the ‘current’ media content had a relationship with the ‘current’ public agenda. This observation of the media in society led to theorists presenting hypothesis and testing different theories to explain the power of the press in the media as it relates to people’s public agendas. A notable theory that focuses directly on this topic is the Agenda Setting Theory by Maxwell McCombs and Donald Shaw. These two theorists saw an association between mass media and society’s opinion and as a result, theorized a cause-and-effect relationship between the power of the press and the public opinion that is known as the Agenda Setting Theory.
From Intentions to Quit to the Actual Quitting Process: The Case of Smoking Behavior in Light of the TPB

The purpose of the present paper was to examine the path from intentions to quit smoking to the actual quitting process in light of the theory of planned behavior. Data derives from a longitudinal internet survey (N = 939) over a period of 4 months. Attitudes, subjective norms, perceived behavioral control (PBC), and past behavior emerged as significant direct predictors of quitting intention (R2 = 34%). Ordinal regression analysis showed that intention, PBC, planning, past quit attempts and habit were significant predictors of the subsequent quitting process. Consistent with previous research the results show that addicted individuals have serious problems in sticking to their initial plans. Theoretical and practical implications of the results are discussed.
Prospects for Developing Countries : Coping with a Global Slowdown 1

The global economy, already balanced precariously between recession and recovery in the summer of 2001, received a sharp negative shock with the terrorist attacks in the United States on September 11. The probability of a more severe global slowdown has since increased, but because of the difficulties of anticipating the responses of businesses and consumers to these unprecedented events, together with the unpredictable ramifications of the attacks, forecasts are subject to an unusually high degree of uncertainty. Nonetheless, U.S. consumer demand, instead of fueling a recovery in global demand in the fourth quarter, now seems likely to decline. The September 11 events snuffed out the first signs, clearly discernible in late summer, of an incipient rebound in U.S. manufacturing production. As perceived risks rose, stock markets fell around the world, and new private lending to most developing countries has effectively ceased. Trade flows, already depressed by slowing demand, are under new pressures from rising securityrelated costs, disruptions in normal air traffic, and further post-attack slackening in demand. The origins of the global downturn can be traced to the sudden decline in U.S. financial markets in mid-2000. This signaled the end to the worldwide bubble in equity values and created over-capacity in global high-tech sectors. In the ensuing slowdown of the U.S. economy, investment demand plummeted, and consumer confidence waned. Weakening investor confidence quickly spread to Europe, first evident in equity markets but soon transmitted to business and consumer demand. The phased contraction of U.S. and then European import demand, in combination with the reversal of incipient recovery in Japan, heralded an unprecedented deceleration of world trade in 2001 that has adversely affected developing countries. Growth of global trade fell from record 13.3 percent growth in 2000 to 1 percent in 2001. Because nearly half of U.S. investment was in computers, electronics, telecommunications, and other high technology products, the sharp contraction of investment hit East Asia’s technology-heavy exports swiftly and hard. The U.S. downturn also rippled through Mexico into the rest of Latin America. The downturn spread to the Euro area where economies were reaching the top of the business cycle in early 2001. Conditions then worsened as the technology slump cut into demand, rising oil prices cut into the purchasing power of consumers, and the profits of European companies in the large U.S. market sagged. The European Central Bank, still fearful of future inflation associated with oil prices and the Euro’s value, did not immediately cut interest rates. In Japan, slumping exports cut the tenuous string preventing the economy from slipping back into recession as the government bumped up against ceilings on fiscal headroom. These forces, together with weak commodity prices, reduced growth in virtually all major regions of the developing world.
Localized proton microcircuits at the biological membrane–water interface

Cellular processes such as nerve conduction, energy metabolism, and import of nutrients into cells all depend on transport of ions across biological membranes through specialized membrane-spanning proteins. Understanding these processes at a molecular level requires mechanistic insights into the interaction between these proteins and the membrane itself. To explore the role of the membrane in ion translocation we used an approach based on fluorescence correlation spectroscopy. Specifically, we investigated exchange of protons between the water phase and the membrane surface, as well as diffusion of protons along membrane surfaces, at a single-molecule level. We show that the lipid head groups collectively act as a proton-collecting antenna, dramatically accelerating proton uptake from water to a membrane-anchored proton acceptor. Furthermore, the results show that proton transfer along the surface can be significantly faster than that between the lipid head groups and the surrounding water phase. Thus, ion translocation across membranes and between the different membrane protein components is a complex interplay between the proteins and the membrane itself, where the membrane acts as a proton-conducting link between membrane-spanning proton transporters.
Hitting the Holy Grail of Hematopoietic Cell Transplantation with Naive T-Cell Depleted Allografts—Graft Engineered Hematopoietic Stem Cell Transplant

Hematopoietic cell transplant is a potentially curative procedure for many benign and malignant conditions. The efficacy of allogeneic transplant relies in part on the cytotoxicity of the conditioning regimen and the graft versus tumor effect mediated by alloreactive donor T cells; the same cells are also implicated in the development of graft versus host disease (GVHD). Selective identification and depletion of the T cells implicated in GVHD, while preserving the T cells responsible for graft versus tumor effect has been the focus of many research groups in the recent years. Here we briefly review the physiology of T cells in transplantation, and comment on a recent clinical trial published by Bleakly et al. using a novel way of graft engineered allograft via naïve T cell depletion.
External Query Expansion in the Blogosphere

We describe the participation of the University of Amsterdam’s ILPS group in the blog track at TREC 2008. We mainly explored different ways of using external corpora to expand the original query. In the blog post retrieval task we did not succeed in improving over a simple baseline (equal weights for both the expanded and original query). Obtaining optimal weights for the original and the expanded query remains a subject of investigation. In the blog distillation task we tried to improve over our (strong) baseline using external expansion, but due to differences in the run setup, comparing these runs is hard. Compared to a simpler baseline, we see an improvement for the run using external expansion on the combination of news, Wikipedia and blog posts.
Influence of Absolute versus relative L-arginine Dosage on 1 km and 16.1 km time trial performance in trained cyclists.

This investigation aimed to determine the effects of L-arginine supplementation on cycling time trial (TT) performance. Eight trained male cyclists performed 1 and 16.1km time trials on three occasions, control (CON), absolute (ABS) and relative (REL) loading. Participants consumed 500ml of water with either 6g (ABS), 0.15 g·kg -1 body mass (REL) of L-arginine or water (CON) 90min prior to testing. Time to completion, mean power output (W mean ) and post-exercise lactate (La) were recorded for each TT. Time to completion decreased non-significantly for 1 and 16.1km TT’s during ABS and REL trials compared to CON. W mean was significantly different between CON and REL during 16.1 km TT (196.19 ± 32.40W and 215.81 ± 31.56W). Blood lactates was significantly different between CON and ABS for the 1 km TT ( p = 0.04) (13.59 ± 1.21 mmol·L -1 and 12.38 ± 0.70 mmol·L -1 , respectively) and between CON and ABS ( p = 0.04) (9.11 ± 2.91mmol·L -1 and 7.64 ± 3.01mmol·L -1 , respectively) and CON and REL (9.11 ± 2.91mmol·L -1 and 7.15 ± 2.96mmol·L -1 , respectively) for 16.1km TT. These results indicate L-arginine supplementation does not significantly improve cycling TT performance, though there was a trend towards reduced time to completion and increased mean power output, and that relative doses appear more effective than absolute doses.
Inducible Silencing of KILLER/DR5 In vivo Promotes Bioluminescent Colon Tumor Xenograft Growth and Confers Resistance to Chemotherapeutic Agent 5-Fluorouracil

The candidate tumor suppressor KILLER/DR5 is a DNA damage-inducible p53-regulated death receptor for the tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), a promising agent for cancer therapy. The majority of studies on KILLER/DR5 have been focused on its role in TRAIL-induced apoptosis. However, its contribution to the inhibition of tumor growth and its role as a determinant of chemosensitivity are poorly understood. In the present study, we have generated stable human colon cancer cell lines, in which the function of KILLER/DR5 was ablated using inducible RNA interference. Inducible silencing of KILLER/DR5 in vivo by exposure of mice to doxycycline led to accelerated growth of bioluminescent tumor xenografts and conferred resistance to the chemotherapeutic agent 5-fluorouracil. Our results suggest that KILLER/DR5 may be a critical determinant for tumorigenicity and chemosensitivity.
Extracting Certificates from Live Traffic : A Near Real Time SSL Notary Service

Much of the Internet's end-to-end security relies on the SSL protocol along with its underlying X.509 certificate infrastructure. However, the system remains quite brittle due to its liberal delegation of signing authority: a single compromised certification authority undermines trust globally. We present a novel notary service that helps clients to identify malicious certificates by providing a third-party perspective on what they should expect to receive from a server. While similar in spirit to existing efforts, such as Convergence and the EFF's SSL observatory, our notary collects certificates passively from live upstream traffic at seven independent Internet sites. Our data set currently includes 330k certificates extracted from 5.5B SSL sessions over a time interval of 6 months. The notary offers a DNS-based, near real-time query interface to the public that is compatible to existing systems. We will maintain the notary as an ongoing service to the community and plan to include further data providers in the future to extend its coverage. From a broader perspective, we also see our work as a case study on working successfully with network operators to provide researchers with real-world data. *International Computer Science Institute, 1947 Center Street, Suite 600, Berkeley, California, 94704 § University California, Berkeley, 2200 University Drive, Berkeley, California 94720 ⱡ Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California, 94720 This work was partially funded by the Deutscher Akademischer Austausch Dienst (DAAD) through a postdoctoral fellowship.
BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine

Understanding the functional mechanisms of the complex biological system as a whole is drawing more and more attention in global health care management. Traditional Chinese Medicine (TCM), essentially different from Western Medicine (WM), is gaining increasing attention due to its emphasis on individual wellness and natural herbal medicine, which satisfies the goal of integrative medicine. However, with the explosive growth of biomedical data on the Web, biomedical researchers are now confronted with the problem of large-scale data analysis and data query. Besides that, biomedical data also has a wide coverage which usually comes from multiple heterogeneous data sources and has different taxonomies, making it hard to integrate and query the big biomedical data. Embedded with domain knowledge from different disciplines all regarding human biological systems, the heterogeneous data repositories are implicitly connected by human expert knowledge. Traditional search engines cannot provide accurate and comprehensive search results for the semantically associated knowledge since they only support keywords-based searches. In this paper, we present BioTCM-SE, a semantic search engine for the information retrieval of modern biology and TCM, which provides biologists with a comprehensive and accurate associated knowledge query platform to greatly facilitate the implicit knowledge discovery between WM and TCM.
Model predictive control for multi-lane motorways in presence of VACS

A widespread use of vehicle automation and communication systems (VACS) is expected in the next years. This may lead to improvements in traffic management because of the augmented possibilities of using VACS both as sensors and as actuators. To achieve this, appropriate studies, developing potential control strategies to exploit the VACS availability, are essential. This paper describes a model predictive control framework that can be used for the integrated and coordinated control of a motorway system, considering that vehicles are equipped with specific VACS. Microscopic simulation testing demonstrates the effectiveness and the computational feasibility of the proposed approach.