Miracle-dz/UniFAR-FTUs huggingface dataset:
Intergenerational contact and hiring decisions about older workers

Purpose Although many older workers wish to work longer, they may not be hired due to negative attitudes against them. The purpose of this paper is to investigate the role of intergenerational contact in shaping hiring decisions. Drawing from the intergroup contact theory, the authors investigated affective and cognitive categorization reactions as predictors of decision-makers’ willingness to hire older people and whether these relationships are moderated by intergenerational contact frequency and quality. Design/methodology/approach The authors tested the hypotheses using data from 232 employees with hiring power. Findings Results indicate that intergroup anxiety was negatively related to decision-makers’ willingness to hire older people. Further, intergenerational contact frequency exacerbated the relationship between intergroup anxiety and willingness to hire older people; whereas intergenerational contact quality buffered the negative relationship. In addition, the authors found that intergenerational contact quality facilitated the positive relationship between perceived outgroup competence and willingness to hire older people. Originality/value These findings extend previous research on older worker employment. In particular, they demonstrate how intergenerational contact frequency and quality can be powerful means that influence age-related hiring decisions.
Avalanche Photodiodes in Submicron CMOS Technologies for High-Sensitivity Imaging

Vacuum based devices, such as Photo Multiplier Tubes (PMT) and Micro Channel Plates (MCP), have been for many years the sensors of choice for most applications calling for photon counting and timing (Renker, 2004). While providing very good sensitivity, noise and timing characteristics, these photodetectors feature a number of disadvantages: they are bulky, fragile, and sensitive to magnetic fields; they require very high operation voltages, and have large power consumption; in their high-performance models, providing good spatial resolution, they are still very expensive. For high-sensitivity imaging applications, suitable solutions are represented by CCD cameras coupled with either MCP Image Intensifiers (I-CCDs) or Electron Multipliers (EM-CCDs) (Dussault & Hoess, 2004). However, besides being very expensive, their performance is not completely satisfactory in extreme time resolved measurements. For reasons of cost, miniaturization, ruggedness, reliability, design flexibility, integration density, and signal processing capabilities, a fully solid-state solution (and, particularly, CMOS technology) would be highly desirable. Among the advanced CMOS image sensors so far reported, the most promising ones in terms of high sensitivity and fast timing are those based on Single Photon Avalanche Diodes (SPADs). SPADs are avalanche photodiodes operated in the so-called Geiger mode, i.e., biased above breakdown, so as to be sensitive to single photons (Cova et al., 1996). Although these sensors have been developed for more than 30 years, in particular owing to the group of Prof. Cova at Politecnico di Milano, and single devices have reached outstanding performance (Ghioni et al., 2007), only recently the perspective of making a SPAD-based camera has become feasible. The first SPAD-based pixel arrays in CMOS technology have been demonstrated only a few years ago (Rochas et al., 2003a), but since then further developments rapidly followed, also facilitated by the availability of commercial, High-Voltage CMOS technologies (HV-CMOS) aimed at integrated circuits for power electronics, as well as of specially tailored “imaging” processes, which have been boosted by the huge market of
Semantic Graph Mining for e-Science

In this paper, we present a methodology, called Semantic Graph Mining, for computer-aided extraction of actionable rules from consolidated semantic graphs of statements. First, generate semantic annotations of a set of heterogeneous knowledge/information resources in terms of domain ontology. Second, merge a semantic graph by means of semantic integration of the annotated resources. Third, discover and recognize patterns from the graph. Fourth, generate and evaluate a set of candidate rules, which are organized and indexed for interactive discovery of actionable rules. As initial implementation efforts of the methodology, a generic architecture of specialized knowledge discovery services is proposed, and an application in biomedicine is initiated.
Scattered Nuclear Continuum and Broad Hα in Cygnus A

We have discovered scattered broad Balmer emission lines in the spectrum of Cygnus A, using the Keck II Telescope. Broad Hα appears in polarized flux from components on either side of the nucleus and, to a lesser extent, in the nucleus. The full-width at half-maximum of broad Hα is 26,000 km s-1, comparable to the widest emission lines seen in broad-line radio galaxies. Scattered active galactic nucleus light provides a significant contribution to the total flux at 3800 Å (rest) of the western component, where the polarization rises to 16%. The spatially integrated flux of Cygnus A at 5500 Å can be decomposed into an elliptical galaxy fraction (Fg = 0.70), a highly polarized blue component (FC1 = 0.15), a less polarized red component (FC = 0.09), and a contribution from the nebular continuum (0.06). Imaging polarimetry shows a double fan of polarization vectors with circular symmetry that corresponds to the ionization cone seen in Hubble Space Telescope images. Our results are consistent with scattering of light from a hidden quasar of modest luminosity by an extended, dusty narrow-line region.
Intervention studies in occupational epidemiology

The proportion of intervention studies in occupational epidemiology has been growing rapidly in recent years. This is a positive trend, which makes it necessary to discuss a number of theoretical, methodological, and practical issues. The aim of this paper is to summarise the specific features of occupational intervention research, to suggest solutions to some of the special problems, and to propose ways of developing worksite intervention studies in the future. Occupational intervention studies are in this paper defined as “studies in which the effects of planned activities at the worksites with the aim of improving the working conditions and/or the health of the workers are being evaluated with research methods”. The goals of these activities are usually improved health and wellbeing of the workers, reduced absence or turnover, or increased motivation and job satisfaction. In some cases these goals are combined with other objectives such as increased product quality, increased productivity, or increased customer satisfaction. The present article will focus on interventions with a behavioural, organisational, or psychosocial element. This leaves out purely engineering interventions where, for example, one chemical is substituted with another or one machine with another without changes in employee behaviour. The scope of the article is still very broad since it includes such diverse fields as ergonomics, accidents, psychosocial factors, health promotion, physical and chemical factors, and secondary prevention of occupational diseases and injuries. Why is occupational intervention research so important? The simple answer is that we want to know whether or not interventions at the worksites have the desired effect. This is by no means a matter of course. Some interventions have no effects while others have negative effects in spite of the good intentions of everyone involved. Going one step further, we can identify at least four good reasons for doing intervention research:
DETERMINAN MINAT MENGGUNAKAN E-COMMERCE MODEL C2C

Penelitian ini bertujuan untuk mengetahui pengaruh dari variabel TAM dan pengembangannya, serta turunan dari variabel TRA dalam penerimaan pengguna teknologi untuk menggunakan e-commerce model C2C. Persepsi manfaat, persepsi kemudahan, kepercayaan, persepsi risiko, dan kesenangan adalah variabel yang diteliti pengaruhnya terhadap minat menggunakan e-commerce model C2C. Penelitian dilakukan dengan memberikan kuisioner kepada pengguna teknologi yang pernah merasakan bertransaksi e-commerce model C2C. Hasil penelitian berdasarkan data dari 120 paket kuisioner yang diolah dalam penelitian ini menemukan bahwa persepsi manfaat, kepercayaan, dan kesenangan berpengaruh terhadap minat menggunakan e-commerce model C2C. Sementara itu, tidak ditemukan adanya pengaruh yang signifikan dari persepsi kemudahan dan persepsi risiko terhadap minta menggunakan. K ata Kunci : TAM, TRA, e-commerce, model C2C, persepsi manfaat, persepsi kemudahan, kepercayaan, persepsi risiko, kesenangan, minat menggunakan
OPEN: a flexible OO/CBD process for software-intensive systems development, a UML exposition

Object technology is an approach that is increasingly being adopted for the development of quality software and software-intensive systems. Recent experience has demonstrated that it provides a sophisticated environment to support high quality software engineering practice. However, the use of object technology should not be restricted to languages but should encompass analysis, design, V&V and many such aspects belonging to the methodological dimension of the development life-cycle. Furthermore, it should also cover other issues belonging to the technological and contextual aspects.
Future mobile terminals: efficiency by adaptivity

Dynamically reconfigurable systems offer the potential for realizing efficient systems as well as providing adaptability to changing system requirements. Such systems are suitable for future mobile multimedia systems that have limited battery resources, must handle diverse data types, and must operate in dynamic application and communication environments. In this position paper we propose an approach in which reconfiguration is applied dynamically at various levels of a mobile system, whereas traditionally, reconfigurable systems mainly focus at the gate level only. The research performed in the Chameleon project1 aims at designing such a heterogeneous reconfigurable mobile system. The two main motivations for the system are 1) to have an energy-efficient system, while 2) achieving an adequate Quality of Service for applications.
Multiresolution Time-Domain Using CDF Biorthogonal Wavelets

A new approach to the multiresolution time-domain (MRTD) algorithm is presented in this paper by introducing a field expansion in terms of biorthogonal scaling and wavelet functions. Particular focus is placed on the Cohen–Daubechies–Feauveau (CDF) biorthogonal-wavelet class, although the methodology is appropriate for general biorthogonal wavelets. The computational efficiency and numerical dispersion of the MRTD algorithm are addressed, considering several CDF biothogonal wavelets, as well as other wavelet families. The advantages of the biorthogonal MRTD method are presented, with emphasis on numerical issues.
Experiments for HARD and Enterprise Tracks

1. HARD track The main theme in our participation in this year's HARD track was experimentation with the effect of lexical cohesion on document retrieval. Lexical cohesion is a major characteristic of natural language texts, which is achieved through semantic connectedness between words in text, and expresses continuity between the parts of text [7]. Segments of text which are about the same or similar subjects (topics) have higher lexical cohesion, i.e. share a larger number of words than unrelated segments. We have experimented with two approaches to the selection of query expansion terms based on lexical cohesion: (1) by selecting query expansion terms that form lexical links between the distinct original query terms in the document (section 1.1); and (2) by identifying lexical chains in the document and selecting query expansion terms from the strongest lexical chains (section 1.2).
On Hom-algebra structures

A Hom-algebra structure is a multiplication on a vector space where the structure is twisted by a homomorphism. The structure of Hom-Lie algebra was introduced by Hartwig, Larsson and Silvestrov and extended by Larsson and Silvestrov to quasi-hom Lie and quasi-Lie algebras. In this paper we introduce and study Hom-associative, Hom-Leibniz, and Hom-Lie admissible algebraic structures which generalize the well known associative, Leibniz and Lie admissible algebras. Also, we characterize the flexible Hom-algebras in this case. We also explain some connections between Hom-Lie algebras and Santilli's isotopies of associative and Lie algebras.
Telomere elongation involves intra-molecular DNA replication in cells utilizing alternative lengthening of telomeres

Alternative lengthening of telomeres (ALT) is a telomere length maintenance mechanism based on recombination, where telomeres use other telomeric DNA as a template for DNA synthesis. About 10% of all human tumors depend on ALT for their continued growth, and understanding its molecular details is critically important for the development of cancer treatments that target this mechanism. We have previously shown that telomeres of ALT-positive human cells can become lengthened via inter-telomeric copying, i.e. by copying the telomere of another chromosome. The possibility that such telomeres could elongate by using other sources of telomeric DNA as copy templates has not been investigated previously. In this study, we have determined whether a telomere can become lengthened by copying its own sequences, without the need for using another telomere as a copy template. To test this, we transduced an ALT cell line with a telomere-targeting construct and obtained clones with a single tagged telomere. We showed that the telomere tag can be amplified without the involvement of other telomeres, indicating that telomere elongation can also occur by intra-telomeric DNA copying. This is the first direct evidence that the ALT mechanism involves more than one method of telomere elongation.
A data frame based spatiotemporal indexing algorithm for moving objects

With the increasing number of location based services (LBS) and GPS-enabled devices, there are more and more Web based GPS trajectory applications. Since the huge volume of spatiotemporal trajectory data brings about heavy burden for data storing and querying, it is of great importance to organize the trajectory data efficiently to satisfy the indexing demand of many LBS applications. Traditional methods in spatiotemporal database always incur a data search in a large range while users query about trajectories in a particular spatiotemporal region in Web based applications. In this paper, we develop a data frame based spatiotemporal indexing algorithm for moving objects, which is aimed to achieve high efficiency in spatiotemporal retrieval for trajectories. The method first allocates points from different objects of the same timestamp into the identical data frame to construct temporal index. Then it partitions the frames into groups, each group starts with a static frame followed by several dynamic frames. Finally, the method divides the space into blocks based on Geohash algorithm. In this way, temporal and spatial index are combined to achieve high efficiency during the trajectory retrieval. Experiments on real large scale trajectory datasets demonstrate that the proposed algorithm has superiority over traditional methods in speeding up the spatiotemporal retrieval and is quite qualified to the characteristics of Web based LBS applications.
Low Power Instruction Cache with Word Selective Line Buffer

In this paper, we propose Word Selective Line Buffer (WSLB) which takes advantages from the line buffer and sub-banking cache. Our proposed WSLB cache includes two significant features that are Address Latch Register (ALR) and Variable Length Sub-Banking (VLSB). ALR can make reduction of energy dissipation by eliminating access TLB while the line buffer and sub-banking technique can combined by VLSB. These two features can make achieve cache dynamic power reduction by a 58.2% and Energy-Delay (ED) product reduction by 57.2% of baseline cache without performance degradation. In case of comparing with the conventional line buffer, the ED product is improved by average 12%. In addition, we evaluate this trend is maintained even if the cache configurations that are cache capacity and associativity changes.
A semi-automatic approach to identifying and unifying ambiguously encoded Arabic-based characters

In this study, we outline a potential problem in normalising texts that are based on a modified version of the Arabic alphabet. One of the main resources available for processing resource-scarce languages is raw text collected from the Internet. Many less-resourced languages, such as Kurdish, Farsi, Urdu, Pashtu, etc., use a modified version of the Arabic writing system. Many characters in harvested data from the Internet may have exactly the same form but encoded with different Unicode values (ambiguous characters). The existence of ambiguous characters in words leads to word duplication, thus it is important to identify and unify ambiguous characters during the normalisation stage. Here, we demonstrate cases related to ambiguous Kurdish and Farsi characters and propose a semi-automatic approach to identifying and unifying them.
Drawing lattices with a geometric heuristic

Lattices play an important role in many areas of computer science and applied mathematics. The information, extracted from data in data analysis or operated with in intelligent systems, is usually represented by hierarchical structures, where relationships are described by lattices. To visualize the information, one needs to visualize lattices. We mention the existing methods of automated drawing of lattices and focus on the geometric method introduced by Wille et al. Diagrams drawn by the geometric method achieve a good level of readability and aesthetic criteria while satisfying common conventions and constraints, even for larger lattices. We discuss several questions regarding the method and show the diagram drawings produced by two software programs developed at Dept. Computer Science, Palacky University, Czech Republic.
The Hubble Deep Field North SCUBA Super-map – II. Multiwavelength properties

We present radio, optical and X-ray-detected counterparts to the submillimetre sources found using SCUBA in the Hubble Deep Field North region (GOODS-N). A new counterpart identification statistic is developed to identify properties of galaxies detected at other wavelengths that can be used to aid counterpart identification. We discriminate between criteria that can use used to pre-select submillimetre bright objects, and those that identify the counterpart to a known submillimetre object. Optically faint galaxies detected in the deepest 1.4-GHz radio continuum maps are the only effective way of pre-selecting SCUBA galaxies, and radio sources are the best way to identify counterparts to known submillimetre detections. Looking at radio spectral indices, only the steeper sources (indicative of star formation) are detected in the submillimetre range. Although we find several X-ray identifications, we show that deep Chandra images do not contribute to counterpart identifications, as in all cases they are already detected in the more easily obtained VLA radio maps. We also find no evidence for clustering between Chandra and SCUBA sources in this field. For a known SCUBA position, the reddest source tends to be the correct association, although we can find no cut on colour, magnitude or clustering property that efficiently pre-selects for SCUBA sources. 15-μm ISO sources are statistically detected by SCUBA, but the limiting mid-infrared flux is not low enough to provide useful constraints. We present postage stamp strips for each SCUBA detection in separate bands from X-ray to radio bands, providing direct visual evidence that approximately half of the submillimetre sources in this field remain unidentified, despite an abundance of deep multiwavelength data.
Mice Deficient in Proglucagon-Derived Peptides Exhibit Glucose Intolerance on a High-Fat Diet but Are Resistant to Obesity

Homozygous glucagon-GFP knock-in mice (Gcg gfp/gfp) lack proglucagon derived-peptides including glucagon and GLP-1, and are normoglycemic. We have previously shown that Gcg gfp/gfp show improved glucose tolerance with enhanced insulin secretion. Here, we studied glucose and energy metabolism in Gcg gfp/gfp mice fed a high-fat diet (HFD). Male Gcg gfp/gfp and Gcg gfp/+ mice were fed either a normal chow diet (NCD) or an HFD for 15–20 weeks. Regardless of the genotype, mice on an HFD showed glucose intolerance, and Gcg gfp/gfp mice on HFD exhibited impaired insulin secretion whereas Gcg gfp/+ mice on HFD exhibited increased insulin secretion. A compensatory increase in β-cell mass was observed in Gcg gfp/+mice on HFD, but not in Gcg gfp/gfp mice on the same diet. Weight gain was significantly lower in Gcg gfp/gfp mice than in Gcg gfp/+mice. Oxygen consumption was enhanced in Gcg gfp/gfp mice compared to Gcg gfp/+ mice on an HFD. HFD feeding significantly increased uncoupling protein 1 mRNA expression in brown adipose and inguinal white adipose tissues of Gcg gfp/gfp mice, but not of Gcg gfp/+mice. Treatment with the glucagon-like peptide-1 receptor agonist liraglutide (200 mg/kg) improved glucose tolerance in Gcg gfp/gfp mice and insulin content in Gcg gfp/gfp and Gcg gfp/+ mice was similar after liraglutide treatment. Our findings demonstrate that Gcg gfp/gfp mice develop diabetes upon HFD-feeding in the absence of proglucagon-derived peptides, although they are resistant to diet-induced obesity.
PREVENTION OF DIGITAL VIOLENCE IN EDUCATIONAL INSTITUTIONS

Rapid development of information technology makes life easier; however, negative aspects of its influence can be recognized as well. Using Internet provides series of opportunities for better communication, higher quality education and great fun but involves a lot of risk. Young people spend majority of their time using digital technologies, therefore becoming key actors in creating good or bad peer communication. The young/adolescents are also exposed to the highest level of risk on the net because they have high level of autonomy and independence, because Internet erases social brakes, gives them fake feeling of safety and power, allows users say and do things they couldn’t do in face-to-face communication. The young have the feeling they aren’t responsible for that kind of behavior in a way they would normally be responsible, they are sure that on the net they won’t be judged by their looks; relations on the net seem safer than real relations, there are nosocial boundaries; two lonely souls can communicate without being watched. Among the most mentioned risks are various forms of digital violence, from disturbing to most severe forms of violence, exposure to inappropriate content, exposure to political, economic and religious propaganda, disinformation, privacy threat, soliciting gambling and illegal activities. One way of protection on the net in order to prevent unwanted communication is to educate students, parents and teachers about the risks of digital technology and digital literacy.Parents consider that they are sufficiently informed about what their children do online, but think they need more information and education. The role of schools in preventing digital violence is very important because it is the place where children in an organized way spend most time during th e day. The educational mission of school is to promote social relationships with students, colleagues and parents, and educational task is to teach about the use of modern media and technology, with special emphasis on digital literacy. Therefore, the school and its employees have an extremely important role in the prevention of abuse of digital technology.