Miracle-dz/UniFAR-FTUs huggingface dataset:
Alliance Performances in the Dutch Biotechnology Sector

In the biotechnology sector small R&D intensive firms play a fundamental role to keep innovation rates high. With less bureaucratic burdens, low level of hierarchy and high internal flexibility they are able to move fast and to make most efficient use of unique competences. Still their shortage in resources, related to company size, makes them dependent on a strong network of alliances to get access to missing competences and materials. This paper aims at establishing the influence of alliance characteristics on the innovation performance of firms in the biotechnology sector. It presents a conceptual model to clarify the special role of collaboration intensity and how human resource exchange is related to innovation performance of biotechnology alliances.
QUALITY OF SERVICE IN DSDV AND AODV PROTOCOLS

Abstract - Mobile Ad hoc Networks due to their characteristics put some extra requirements on the routing protocols such as, distributed control management, on demand operation, energy efficient approach and limited packet size. With the development of real-time applications, incorporating Quality of Service (QoS) into the network architecture becomes essential.In this paper, we analyze and compare DSDV (proactive or Table Driven) and AODV (reactive or On Demand) routing protocols for MANETs using Network Simulator NS2. Performance evaluation of AODV and DSDV is evaluated based on three parameters of quality of service (QoS), throughput, packet loss ratio and delay. Our simulations show that AODV outperforms DSDV in terms of throughput and packet loss ratio. Keywords: MANET, Quality of Servive, AODV, DSDV, NS2.
A critical discoursive socio-cognitive approach to content analysis of contemporary still images regarding islamophobia

The events in New York on September the 11 2001 have no precedents in modern history. These attacks embody a global geo-political tension between western and Muslim countries, so a plausible clash of civilizations can eventually occur. Moreover, the militarization of public areas, the increase of border controls and the hostility against Muslim population generally crystallises in an islamophobic global concern. Thus, using images as investigative data and a discursive method I analyse and compare the hegemonic and the alternative discourses regarding islamophobia. Results do determine how hegemonic discourses foster engagement and involvement with spectators appealing to western values like democracy and freedom by focusing on social features. Alternative discourses create this engagement through feelings, emotions and a reflexive perspective upon this social fact by targeting subjects’ cognitive brains structures.
The concept of a wave function of a disordered system

2014 In a disordered system the normal wave function 03A8 is a complicated quantity depending on the particular configuration. Physical quantities have to be calculated with 03A8 before ensemble averaging is carried out. It is suggested that it may be possible to invert the order of calculation and averaging ; this gives rise to a new non hermitian wave function which characterizes the ensemble and can be directly used to calculate with. LE JOURNAL DE PHYSIQUE ET LE RADIUM TOME 23, OCTOBRE 1962,
OPTIMAL CONTROL PROBLEMS GOVERNED BY A 1 D WAVE EQUATION WITH VARIABLE COEFFICIENTS

This work is concerned with the optimal control problems governed by a 1D wave equation with variable coefficients and the control spaces MT of either measure-valued functions Lw∗ (I,M(Ω)) or vector measures M(Ω,L 2(I)). The cost functional involves the standard quadratic tracking terms and the regularization term α‖u‖MT with α > 0. We construct and study three-level in time bilinear finite element discretizations for this class of problems. The main focus lies on the derivation of error estimates for the optimal state variable and the error measured in the cost functional. The analysis is mainly based on some previous results of the authors. The numerical results are included. E-mail address: philip.trautmann@uni-graz.at, vexler@ma.tum. de, azlotnik@hse.ru. 2010 Mathematics Subject Classification. Primary: 65M60, 49K20, 49M05, 49M25, 49M29; Secondary: 35L05.
Eigen-Gradients for Traffic Sign Recognition

Traffic sign detection and recognition systems include a variety of applications like autonomous driving, road sign inventory, and driver support systems. Machine learning algorithms provide useful tools for traffic sign identification tasks. However, classification algorithms depend on the preprocessing stage to obtain high accuracy rates. This paper proposes a road sign characterization method based on oriented gradient maps and the Karhunen-Loeve transform in order to improve classification performance. Dimensionality reduction may be important for portable applications on resource constrained devices like FPGAs; therefore, our approach focuses on achieving a good classification accuracy by using a reduced amount of attributes compared to some state-of-the-art methods. The proposed method was tested using German Traffic Sign Recognition Benchmark, reaching a dimensionality reduction of 99.3% and a classification accuracy of 95.9% with a Multi-Layer Perceptron.
Historical Text Networks: The Sociology of Early English Criticism

Abstract: In the late seventeenth century, English criticism emerged as a social practice of public contention. The essay uses quantitative network analysis to explore how publications by dramatists and other poets were situated within the larger print marketplace, how paratextual criticism changed between 1660 and 1700, and how women’s contributions differed from men’s. It argues that the Restoration period witnessed a transformation in the material condition of literary knowledge. Criticism became “modern” when it was first recognized as a general social pattern that transcended the disagreements of individual poets and could be understood instead as the textualized condition of literary knowledge in general. This shift in perspective about the discipline’s prehistory opens a space for quantitative literary research in its future.
A study on the function of the C-terminal half region of the Arf GTPase activating protein Gcs1p

Title A study on the function of the C-terminal half region of the Arf GTPase activating protein Gcs1p [an abstract of dissertation and summary of dissertation review] Author(s) Zendehboodi, Zahra Citation 北海道大学. 博士(生命科学) 甲第11051号 Issue Date 2013-06-28 Doc URL http://hdl.handle. net/2115/53233 Rights(URL) http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Zahra_Zendehboodi_abstract. pdf (「論文内容の要旨」)
Cloning of the genes for non-medullary thyroid cancer: Methods and advances

In last ten years, significant advances have occurred in thyroid endocrinology, as a consequence of the generalized use of molecular biology techniques. New genes involved in the development of thyroid cancer have been identified, which had a great impact on our understanding of thyroid cancer predisposition. All cancers are genetic in origin because they arise from mutations in a single somatic cell, but the genetic changes in sporadic cancers are confined to a particular tissue. In inherited cancers, a predisposing mutation is present in all somatic cells and in the germ line, which enables the transmission of risk to the next generation. Cancer genetics offers a model of how information on the genetics of inherited cancers could affect identification of individuals at increased genetic risk.
ANALYSIS OF GOLD MICRO-BEAMS WITH MODIFIED STRAIN GRADIENT THEORY

Micro-beams are building blocks for many micro- and nano-structures as well as micro-electro-mechanical systems (MEMS) and cannot accurately be modeled by classical continuum theories due to significant size effects at the length scales associated with these structures. Size effects can be taken into account by the so-called higher order continuum theories. In this study, Euler-Bernoulli micro-beams are analyzed with the Modified Strain Gradient Theory (MSGT), which extends the classical local continuum theories of grade one with the introduction of three additional length scale parameters. In this contribution, finite element implementation is briefly demonstrated by using Galerkin discretization techniques for Euler-Bernoulli beams. The size effect for gold-micro beams is demonstrated and the length scale parameters of gold micro-beams for MSGT are identified form the existing experimental data from literature for the first time . As a novel aspect, significant size effect is demonstrated for the length-scales associated with the state of the art gold micro-beam structures developed for NEMS and MEMS applications, which reveals the necessity of the use of higher order theories at these length scales.
Theory and Empirics of Economic Inequality Influencing Economic Growth: A Study of Major Indian States

Unlike the conventional approach, this paper theoretically shows that when median voter’s income is much below the mean level, higher inequality of income increases redistribution in favor of median voter, and thereby influencing higher economic growth provided that major share of tax-financed capital is allocated in public education which benefits all. In the empirical findings this study suggests that despite continuous increase in consumption inequality in major Indian states, redistribution in real social expenditure by Centre and States continues to increase in real per capita terms including median voter during post-reform period. Although inequality of consumption expenditure induces an increase in economic growth for about 50 per cent of major Indian states and the regression coefficients are almost insignificant, such tax-financed public education might act as externality to everybody if major tax financed resources are allocated on education. This might lead to a positive and significant impact into the growth process provided that the large proportion of working population of major Indian states get employment in the service sector. However the empirics of Indian states during the current years also show that service sector of Indian economy, which depends completely on stepping up of educational level to the working population, acts as the major contributor to growth.
Towards Effective Stakeholder Participation in Co- management through Fisheries Management Clinics

A study was conducted to investigate the level of stakeholder participation in co-management of Lake Tanganyika. This study was conducted in the two districts of Mpulungu and Nsama on the Zambian water front. A total of 568 respondents were sampled at 5% confidence interval and 95% levels of confidence. Data was collected using structured and semi-structured interviews and focus group discussions. Analyses were run using SPSS and Excel computer software, and Classical Content Analysis. Results of the study revealed that the fishery lacks well-informed, legitimate and transparent stakeholder authority. To enhance success of co-management endeavours, there is need of having clearer pictures of stakeholders, their influence patterns and power relations. The study recommends a framework of fisheries management clinics as a tool for effective stakeholder participation in comanagement. These clinics would offer on-going advisory services and would at the same time be a preferred extension method.
Electrodeposition and characterization of CuTe and Cu 2 Te thin films

An electrodeposition method for fabrication of CuTe and Cu2Te thin films is presented. The films' growth is based on the epitaxial electrodeposition of Cu and Te alternately with different electrochemical parameter, respectively. The deposited thin films were characterized by X-ray diffraction (XRD), field emission scanning electronic microscopy (FE-SEM) with an energy dispersive X-ray (EDX) analyzer, and FTIR studies. The results suggest that the epitaxial electrodeposition is an ideal method for deposition of compound semiconductor films for photoelectric applications.
Towards the fine-tuning of a predictive Kano model for supporting product and service design

Kano's theory analyses only the ‘current situation’ concerning the extent of customer satisfaction, which results from fulfilling monitored product/service attributes. Such an issue hinders the exploitation of Kano surveys for long-time design projects. On the other hand, trends regarding the shift of quality attributes reported in literature are not supported by rigorous research. In order to highlight evidence about changes in the main drivers for customer satisfaction, the authors have individuated and subsequently examined surveys of three analogous products or services performed by different research groups. The use of a quantitative reference model linking the performance of quality attributes to the ensuing satisfaction provides a clear picture of the transformation occurring within the role played by a plurality of customer requirements. The results of the investigation show remarkable differences in the evolution of quality attributes and point out new needs for the organisation of an experiment to validate the existing hypotheses that concern the transformation of Kano categories. More specifically, the paper stresses the importance of performing repeated tests with the same group of customers, paying attention to industrial sectors where performance is progressing quickly, considering uncertainties related to the output of Kano surveys.
Investigate machine learning methods based on Source Localization in an ocean waveguide

Supervised machine learning methods have been introduced to learn the potential relationship between source range and acoustic data. For multi-frequency acoustic data, there are too many redundant features which will cause overfitting. Principal component analysis is one efficient way to reduce dimension of data while retaining variance. In this project, we investigate the acoustic source localization using support vector machine (SVM), random forest (RF) and feed-forward neural networks (FNN) combined with PCA. The performance of 3 methods are compared with different parameters and datasets. Results show that with suitable parameters, SVM has outstanding performance in classification but relatively poor performance in regression; FNN combined with PCA has good performance in both classification and regression. RF combined with PCA has better performance in regression but lower precision in classification compared with SVM. Generally speaking, PCA efficiently improves the performance of FNN and saves lots of the training time of RF.
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization

Training deep neural networks requires an exorbitant amount of computation resources, including a heterogeneous mix of GPU and CPU devices. It is critical to place operations in a neural network on these devices in an optimal way, so that the training process can complete within the shortest amount of time. The state-of-the-art uses reinforcement learning to learn placement skills by repeatedly performing Monte-Carlo experiments. However, due to its equal treatment of placement samples, we argue that there remains ample room for significant improvements. In this paper, we propose a new joint learning algorithm, called Post, that integrates cross-entropy minimization and proximal policy optimization to achieve theoretically guaranteed optimal efficiency. In order to incorporate the cross-entropy method as a sampling technique, we propose to represent placements using discrete probability distributions, which allows us to estimate an optimal probability mass by maximal likelihood estimation, a powerful tool with the best possible efficiency. We have implemented Post in the Google Cloud platform, and our extensive experiments with several popular neural network training benchmarks have demonstrated clear evidence of superior performance: with the same amount of learning time, it leads to placements that have training times up to 63.7% shorter over the state-of-the-art.
Swine production on Maio Island, Cape Verde: a household survey

Summary: The main objective of this work was to describe the swine rearing systems used in Maio Island, Cape Verde. An addi-tional objective was to describe swine´s health problems as felt by their owners, in order to understand their perception on the importance of future interventions to improve animal health. The study was carried out in the course of Vétérinaires Sans Frontières - Portugal mission in October 2012. A household survey was conducted in 6 of 12 localities of the island. In a total of 1526 households, 305 swine producers were identified with an average of 4.24 (SD 3.35) animals per producer. Results showed that piglets (53%) and sows/ gilts (32%) represented the main age and sex groups. Regarding the rearing system, 57% of owners reported that their animals were confined in piggeries, 34% had free access to the streets and only 9% lived in backyards. A total of 268 animals were reported to die from 2010 to 2012. Although the majority of swine produc- ers (88%) do not report any clinical signs prior to the animal’s death, tremble, hyperemia of the skin, abortion, recumbence and respiratory distress were described for some cases. The symptoms described by producers may indicate the presence of certain infec- tious diseases, such as African Swine Fever, easily spread in low biosecurity systems. However, other causes such as toxic plants, should be consider since mortality occurred mainly in the warmest months, coinciding with the rainy season when many producers free their animals to feed of existing plants in the fields. Future strategies would benefit from laboratory investigation in order to identify causes of swine mortality. se alimentarem nas pastagens. diagnóstico surtos requer assim que se recorra a exames laboratoriais recolha sistemática
Nepal Ambient Monitoring and Source Testing Experiment(NAMaSTE):薪燃料と糞燃料の調理燃焼,ごみと作物残渣の焼却,煉瓦窯炉,その他発生源からの微量ガスと光吸収炭素の放出

The Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE) characterized widespread and under-sampled combustion sources common to South Asia, including brick kilns, garbage burning, diesel and gasoline generators, diesel groundwater pumps, idling motorcycles, traditional and modern cooking stoves and fires, crop residue burning, and heating fire. Fuel-based emission factors (EFs; with units of pollutant mass emitted per kilogram of fuel combusted) were determined for fine particulate matter (PM2.5), organic carbon (OC), elemental carbon (EC), inorganic ions, trace metals, and organic species. For the forced-draft zigzag brick kiln, EFPM2.5 ranged from 12 to 19 g kg−1 with major contributions from OC (7 %), sulfate expected to be in the form of sulfuric acid (31.9 %), and other chemicals not measured (e.g., particle-bound water). For the clamp kiln, EFPM2.5 ranged from 8 to 13 g kg −1, with major contributions from OC (63.2 %), sulfate (23.4 %), and ammonium (16 %). Our brick kiln EFPM2.5 values may exceed those previously reported, partly because we sampled emissions at ambient temperature after emission from the stack or kiln allowing some particle-phase OC and sulfate to form from gaseous precursors. The combustion of mixed household garbage under dry conditions had an EFPM2.5 of 7.4± 1.2 g kg−1, whereas damp conditions generated the highest EFPM2.5 of all combustion sources in this study, reaching up to 125± 23 g kg−1. Garbage burning emissions contained triphenylbenzene and relatively high concentrations of heavy metals (Cu, Pb, Sb), making these useful markers of this source. A variety of cooking stoves and fires fueled with dung, hardwood, twigs, and/or other biofuels were studied. The use of dung for cooking and heating produced higher EFPM2.5 than other biofuel sources and consistently emitted more PM2.5 and OC than burning hardwood and/or twigs; this trend was consistent across traditional mud stoves, chimney stoves, and three-stone cooking fires. The comparisons of different cooking stoves and cooking fires revealed the highest PM emissions from threestone cooking fires (7.6–73 g kg−1), followed by traditional mud stoves (5.3–19.7 g kg−1), mud stoves with a chimney for exhaust (3.0–6.8 g kg−1), rocket stoves (1.5–7.2 g kg−1), induced-draft stoves (1.2–5.7 g kg−1), and the bhuse chulo stove (3.2 g kg−1), while biogas had no detectable PM emisPublished by Copernicus Publications on behalf of the European Geosciences Union. 2260 T. Jayarathne et al.: Emissions of particulate matter sions. Idling motorcycle emissions were evaluated before and after routine servicing at a local shop, which decreased EFPM2.5 from 8.8± 1.3 to 0.71± 0.45 g kg −1 when averaged across five motorcycles. Organic species analysis indicated that this reduction in PM2.5 was largely due to a decrease in emission of motor oil, probably from the crankcase. The EF and chemical emissions profiles developed in this study may be used for source apportionment and to update regional emission inventories.
Trend of Supervised Web Data Extraction

Website has evolved since it was first developed in 1990. Since then, the website grows rapidly. Based on the information provided by http://www.worldwidewebsize. com the number of websites is currently at least 4.54 billion pages. With a very large number, the website stores a lot of information that can be used. That problem brings up the concept of data extraction. Web data extraction aims to retrieve the contents of the website so that it can be easy to use for other purposes. The utilization of web data extraction can be used in a product catalog, news, bookstore, travel, etc. There are many systems build by different technique such as manual, supervised, un-supervised, and semi-supervised. This paper discuss supervised learning technique for web data extraction. Several previous surveys have overviewed the wrapper induction system using the concept of supervised techniques to extracted web data up to 2007. The aim of this paper is to present a comprehensive overview of the research in supervised web extraction data by providing the latest research results
Five ways to hack and cheat with Bring Your Own Device ( BYOD ) electronic examinations

Bring Your Own Device electronic examinations (BYOD eExams) are a relatively new type of assessment where students sit a face-to-face exam under invigilated conditions on their own laptop. Special software restricts student access to prohibited computer functions and files, and provides access to any resources or software the examiner approves. In this study, the decades-old computer security principle that ‘software security depends on hardware security’ is applied to a range of BYOD eExam tools. Five potential hacks are examined, four of which are confirmed to work against at least one BYOD eExam tool. The consequences of these hacks are significant, ranging from removal of the exam paper from the venue through to receiving live assistance from an outside expert. Potential mitigation strategies are proposed, however these are unlikely to completely protect the integrity of BYOD eExams. Educational institutions are urged to balance the additional affordances of BYOD eExams for examiners against the potential affordances for cheaters.
Alliances and Lessons of Election 2009

Analysing the peculiar nature of alliances in the April-May 2009 Lok Sabha elections, this study points out that a major change was wrought by the Congress opting to abandon its national alliance in favour of state-level agreements. The new delimitation gave the Congress an opportunity to redraw the lines and break out of the corner that it had been boxed into by its coalition partners. Further, unlike 2004, all parties hedged their bets, waiting for post-election negotiations, and both the major groupings announced no common programme. Another notable feature was the high proportion of seats in which a split in votes by a third candidate decided the winner. Added to the