Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Approach for Weighted Clustering

In majority of the real life datasets, all attributes do not have equal importance thereby same weights cannot be assigned for each attribute. Parametric Minkowski model [3] is used for considering the weightage scheme in the K-means clustering algorithm. There is always a challenge to obtain weights for the attributes from the data itself without pre-assigning weights. In this paper, a novel approach for automatic way of finding weights for various features in patterns has been proposed to address the problem of weights selection or weights generation in Parametric Minkowski model. The approach will play an important role for wider variety of clustering problems especially, where the attributes in a dataset do not have equal weights. The performance of the proposed approach has been evaluated over a number of datasets of UCI machine learning repository and compared with the performance of other popular clustering algorithms. Key-Words: Clustering, Parametric Minkowski Mode, Hyperlink-Induced Topic Search (HITS) Algorithm.
How can veterinarians be interesting partners for organic dairy farmers ? French farmers ’ point of views

Organic dairy farmers must live up to the organic goal of ‘good health’ in respect the organic principles and regulation. Veterinarians could be the organic dairy farmers’ expected sparring partners in reaching this goal but have found difficulties to establish advisory relationships with them. The objectives of this study are −from organic dairy farmers’ points of view(i) to describe farmers’ objectives and strategies regarding herd health, (ii) to describe private veterinarians’ roles in farmers’ animal health promotion strategies and (iii) to identify farmers’ reasons for accepting veterinarians in an advisory role. Fourteen organic dairy farmers were interviewed using qualitative research interviews. Data collection and analysis was performed using a modified approach to Grounded Theory. Organic dairy farmers had animal health management strategies focusing on animal health promotion. Veterinarians had most often solely the role of therapist in farmers’ animal health management strategies. Reasons explaining that veterinarians were not able to establish advisory roles were found in the differences between veterinarians and farmers regarding their animal health strategies and solutions to disease problems. Furthermore, veterinarians did not always share farmers’ (organic) objectives, values and priorities and this could lead to disagreement on the best choice in animal health management practices. This might be further amplified in situations where there exists a lack of dialogue and mutual interest in other.
The effectiveness of conceptmapping on development of critical thinking in nursing education : A systematic review and meta-analysis

Article history: Received 7 December 2016 Received in revised form 15 February 2017 Accepted 22 February 2017 Objectives:As an essential skill in daily clinical nursing practice, critical thinking ability has been an important objective in nursing education. Concept mapping enables nursing students connect new information to existing knowledge and integrates interdisciplinary knowledge. However, there is a lack of evidence related to critical thinking ability and conceptmapping innursing education. The purpose of this systematic reviewandmeta-analysis was to assess the effect of concept mapping in developing critical thinking in nursing education. Design: This systematic review was reported in line with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Data sources: A search was conducted in PubMed, Web of science, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Cumulative Index to Nursing and Allied Health (CINAHL) and China National Knowledge Infrastructure (CNKI). Randomized controlled trials (RCT) comparing concept mapping and traditional teaching method were retrieved. Reviewmethods: Data were collected by two reviewers according to the data extraction tables. The methodological quality of included studieswas assessed by other two reviewers. The results ofmeta-analysiswere presented using mean difference (MD). Result: Thirteen trials were summarized in the systematic review and eleven trials were included in the metaanalysis. The pooled effect size showed that, comparing with traditional methods, concept mapping could improve subjects' critical thinking ability measured by California Critical Thinking Disposition Inventory (CCTDI), California Critical Thinking Skill Test (CCTST) and Critical Thinking Scale (CTS). The subgroup analyses showed that concept mapping improved the score of all subscales. Conclusion: The result of this review indicated that concept mapping could affect the critical thinking affective dispositions and critical thinking cognitive skills. Further high quality research using uniform evaluation is required. © 2017 Elsevier Ltd. All rights reserved.
ENGINEERING DECISIONS UNDER RISK-AVERSENESS ∗ R . Tyrrell Rockafellar

Engineering decisions are invariably made under substantial uncertainty about current and future system cost and response, including cost and response associated with low-probability, highconsequence events. A risk-neutral decision maker would rely on expected values when comparing designs, while a risk-averse decision maker might adopt nonlinear utility functions or failure probability criteria. The paper shows that these models for making decisions fall within a framework of risk measures that includes many other possibilities. General recommendations for selecting risk measures lead to decision models for risk-averse decision making that comprehensively represent risks in engineering systems, avoid paradoxes, and accrue substantial benefits in subsequent risk, reliability, and cost optimization. The paper provides an overview of the framework of decision making based on risk measures.
The Relationship Between Premenstrual Syndrome and Mental Health Variables in Adolescents

Premenstrual syndrome is a frequently encountered psychological and physiological disorder in adoles-cents between 15 and 18 years of age. The aim of this study is to analyze the relationship of premenstrual syndrome with quality of life, level of anger and depression. One hundred fifty six female high school students were recruited for the study. All completed sociodemographic form, Premenstrual Syndrome Scale, Beck Depression Inventory, Quality of Life Scale for Children (Adolescent Form) and The State-Trait Anger Expression Inventory. Results indicated that whilst the severity of premenstrual syndrome in-creases, depression and level of anger significantly increase, however, quality of life decreases. The partial mediation effect of depression and anger on the relationship between quality of life and premen-strual syndrome were found to be significant when examined separately. Moreover, anger had a signifi-cant partial mediation effect on the relationship between depression and premenstrual syndrome. In conclusion, in the treatment of individuals with premenstrual syndrome, the dimensions of depression, anger and quality of life should be controlled first and the relationships between these variables should not be ignored.
EasyChair Preprint No 879 An Overview of Count-Min Sketch and its Applications

Research into data stream processing algorithms has been going on for over 20 years by now. Its relevance has rapidly grown in recent years, due to advancements in the Internet of Things (IoT), Cloud Computing and Social Networking [9]. These new technologies and devices generate a lot of data, which causes problems related to storing and processing it. This has led to a push for more efficient algorithms and new data structures that should work on top-of-theline hardware as well as on small IoT devices with limited resources. All with the aim of handling more data than ever before. This paper mainly focuses on the Count-Min (CM) Sketch [6], which is a compact summary data structure that serves as a frequency table of events in a stream of data. The paper explains the implementation of this data structure and shows that it can be used in solving problems that appear in different fields of Computer Science, such as solving the frequent items (heavy hitters) problem, speeding up database queries, improving password security and many more. We also briefly introduce the Bloom filter [2] which is a related data structure that the CM builds upon. This paper signifies the importance of Count-Min sketch in Computer Science by describing the wide array of applications it is used in.
Loughborough University Institutional Repository Pathways of antibiotic use in Bangladesh : a qualitative protocol for the PAUSE study

• This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/ licenses/by/4.0/.
Firms ’ scope , coherence and performance : Case of India

This paper analyses the relationship between firm performances and their product basket, both in terms of its scope and its coherence. We will show how the effect of the strategic choices of the firms are heterogeneous for different firms and with respect to different product combinations. The analysis will be performed on an extensive database of Indian manufacturing firms with detailed information on firms’ product mix. First, we will look at the reasons behind the firms’ strategy to diversify, which firms choose a broad products scope and whether the change in firm scope results in improved firm performance in terms of profitability and sales growth. Second, we will look at the idiosyncratic characteristics of different products, by emphasising the synergies of a product line with respect to the overall product basket of the firm. In this line, we develop a measure which is able to capture the synergies and economies of scope between different products, and we show how the firms’ future performances depend crucially on the interactions between the products that comprise its basket. Overall our results are consistent with an intangible-capabilities model of firm diversification: diversification could have a positive impact on firm performances if the firm has underused capabilities and the new production line is able to exploit them. With the measure of relatedness that we develop we are able to actively identify such underused capabilities, to advise a firm on explicit strategic management indications about whether to diversify or not, and which production lines would best complement the present product basket of the firm.
Making the most of FDI for industrial upgrading and development : Harnessing IIA policy-space through evidence based lessons for ‘ new ’ industrial policy

Policymakers in developing countries face the challenge of promoting economic growth and sustainable development through the enhancement of productivity levels, increases in exports, the creation of new jobs, and the expansion in skilled employment, by means of the promotion of higher value-added activities (HVA). Inward foreign direct investment (FDI) and the activities of foreign owned firms in their host locations play an important role in this process. In low income countries in particular, FDI and participation of their companies in global value chains have the potential to contribute to productive capacity building, sustainable economic development, poverty reduction, industrial upgrading, structural transformation and international competitiveness (in the longer term). If FDI are to play a role in such ‘transnational corporations (TNCs) assisted development strategy’, the attraction of FDI per se is a necessary but not sufficient condition. It requires the “right” type of FDI in terms of attraction of HVA inward investment, and importantly the development and upgrading of existing FDI towards more HVA operations. Although such FDI can contribute to local capacity building required for such HVA operations, investors also require a certain level of local capabilities, productive capacity and absorptive capacity in the host country in the first place.
Environmental innovations and firm ' s boundaries : evidence from two ecological industries in North-- East Italy Riccardo Leoncini

The paper investigates the eco--innovation (EI) impact of firms' outsourcing in ecological industries. Differently from ? dirty industries? , where outsourcing is typically driven by the search of cost--savings and is not respectful of environmental issues (e.g. the search for ? pollution heavens? in offshoring strategies), in ecological ones it could/should be functional to the sustainability mission of their firms. This argument is tested with respect to a sample of firms operating in two ecological sectors (sustainable building and photovoltaics) in North--East Italy. The results of the empirical investigation support an ? EI? friendly? use of outsourcing by ecological industries only limitedly. Externalising high value--added activities significantly decreases the firm's EIs, while a positive effect emerges only from outsourcing of ancillary activities. Agglomeration economies, which could potentially attenuate transaction costs, have only a limited role. An impact on firm's EIs appears also from its knowledge relationships with research organisations as well as from the production relationships with business partners that do not originate from an outsourcing decision. All this points to the role of the firm's capabilities for the sake of EIs and to the transactional problems that their externalisation could pose to the firm's environmental sustainability
Monitoring internal contamination from Occupationally Exposed Workers of an 18 F-FDG production plant : Whole Body Counter or Head Counting setup ?

The production F-FDG for positron emission tomography (PET) has consistently increased over the past two decades. The risk of internal contamination at F-FDG production facilities exists. A setup for evaluation of the F-FDG activity incorporated into the occupationally exposed workers brain, called Head Counting System (HCS), was presented in previous works. In this study, the whole body counter setup (WBC) was evaluated for monitoring F incorporations. The Monte Carlo Virtual Software (VMC in-vivo) and the MCNPx code were used to assess the system calibration coefficient (CC). Three F distributions were simulated: i) uniformly distributed in soft tissue (UDST); ii) NaF biodistribution (NAFB); and iii) F-FDG biodistribution (FDGB). The calibration coefficient of WBC was compared to the current head counting system CC under the same biodistribution conditions. The ICRP male reference voxelized phantom was used in the simulations. The results showed that the WBC setup was more efficient than the head counter for all the studied F distributions: UDST = 1060 %, FDGB = 488 % and NAFB = 340 %. Despite this, especially for F-FDG, the possibility of bladder voiding before measurement can lead to considerable uncertainties when the WBC setup is used. On the other hand, bladder activity does not show great influence the calibration coefficient of the head counting system. Future work will evaluate the WBC sources of uncertainties in the measurement of F incorporated activity.
A Qualitative and Quantitative Examination of Using Positive Consequences in the Management of Student Behavior in Kenyan Schools

He challenge of addressing students’ behaviour problems in Kenya cannot be over emphasized. The present study investigated the effectiveness of positive reinforcement in the management of student behavior problems in public secondary schools in Kenya. Thorndike’s Behavior Modification theory informed the study. Mixed methods paradigm that had both quantitative and qualitative approaches was adopted, together with concurrent triangulation design. The study population comprised 380 teachers from a total number of 40 schools that had 40 Heads of Guidance and Counseling (HOD), 40 Deputy Principals (DP) and 300 classroom teachers. A sample size of 28 Deputy Principals, 28 Heads of Guidance and Counseling and 196 teachers were involved. Reliability of the instruments was ascertained by conducting a pilot study in 9% of the population that didn’t participate in the actual study. Face validity of the instruments was ensured by seeking expert judgment by university lecturers. Quantitative data were analyzed using descriptive statistics and inferential statistics while the qualitative data was analyzed using thematic framework. The study findings revealed that positive reinforcement was effective in managing student behavior problems. The study findings may be a source of intervention to the school administration in the management of escalating student behavior problems. The study recommended training of teachers on better modes of students’ behavior management.
University of Dundee A Formal Analysis of 5 G Authentication Basin

Mobile communication networks connect much of the world’s population. The security of every user’s calls, SMSs, and mobile data, depends on the guarantees provided by the Authenticated Key Exchange protocols used. For the next-generation network (5G), the 3GPP group has standardized the 5G AKA protocol for this purpose. We provide the first comprehensive formal model of a protocol from the AKA family: 5G AKA. We also extract precise requirements from the 3GPP standards defining 5G andwe identify missing security goals. Using the security protocol verification tool Tamarin, we conduct a full, systematic, security evaluation of the model with respect to the 5G security goals. Our evaluation automatically identifies the minimal security assumptions required for each security goal and we find that some critical security goals are not met, except under additional assumptions missing from the standard. Finally, we make explicit recommendations with provably secure fixes for the attacks and weaknesses we found.
Recent Advances in Understanding , Diagnosing , and Treating Ovarian Cancer

Ovarian cancer, a term that encompasses ovarian, fallopian, and peritoneal cancers, is the leading cause of gynecologic cancer mortality. To improve patient outcomes, the field is currently focused on defining the mechanisms of cancer formation and spread, early diagnosis and prevention, and developing novel therapeutic options. This review summarizes recent advances in these areas.
Challenges and trends for sampling-based monitoring in SDN

Network management evolved in a way where implementing complex, high level network policies, implies dealing with some attributes that depend on low-level specific configuration. This reflects on a difficulty of changing the underlying infrastructure. SDN (Software-Defined Networking) concept opens a road for new developments due to the centralized non vendor-specific control of the network, most of it related with the separation of data and control planes. SDN raises different perspectives on how networks can operate and, consequently, how they can be managed and monitored. In particular, facing the undeniable need to reduce the amount of monitoring data in today’s broadband networks, packet/flow sampling has emerged as one promising field for SDN. In this context, this paper is focused on exploring the SDN architecture, and its elements, for supporting sampling-based network monitoring. The aim is to take advantage of the integrated view of SDN controllers to apply and configure appropriate sampling techniques in network measurement points according to the requirements of specific measurement tasks. This will allow a flexible and service-oriented configuration of network monitoring, allowing also to improve the trade-off between accuracy and overhead of the monitoring process. To pursue this, in this paper relevant SDN elements will be examined, alongside with existing monitoring solutions in the SDN research area. The analysis of these solutions led to the proposal of a new approach for the flexible configuration of sampling-based monitoring resorting to SDN components and protocols. This flexibility also enables programmable measurements, allowing a SDN controller to manage measurement tasks concurrently at multiple spatial and temporal scales. Since collecting actual data to create information is important at the time of taking decisions, network operators need to understand the dynamic of their network through monitoring and sampling.
A Simple Quantitative Assay for Bacterial Motility

It is argued that the average motility of bacterial populations should be identified with a diffusivity parameter. A simple capillary assay for quantifying this parameter is described, and some results obtained by using this procedure are presented. It is concluded that the assay combines speed and simplicity of operation with sufficient accuracy to make it a valuable tool in the assessment of motility.
GREEBLES Greeble greeb On Reduction in Speech and Gesture in Repeated References

Previous research has shown that predictable information in speech is often reduced. The present study aims to find out more about reduction with regard to speech but mainly whether reduction also occurs in speech-accompanying gestures. To this end, a director-matcher task was set up in which speakers of Dutch took part. In this task the director had to refer to the same abstract object several times. The repeated references thus obtained were analysed for their reduction in speech and gesture. Speech results show that the number of attributes is reduced and gesture results show that gestures are reduced with regard to the number of hands that are used, their size and their precision. Implications for existing gesture models are discussed.
Fishing for Complementarities : Research Grants and Research Productivity

We investigate complementarities between different sources of research funding with regard to academic productivity in terms of publications and citations. We argue that the joint effect of public and private funding depends not only on the funding source but also on the individual differences in researcher ability and preferences with regard to their taste for science and commercialisation. The empirical analysis, based on a sample of UK engineering academics, suggests that for traditional types with a strong taste for science industry funding decreases the marginal utility of public funding by lowering the publication rate increases associated with public grants. For commercial types, on the contrary, the combined influence of both types of research funding is positive for the number of proceedings, and suggests some complementarities for research.
How the division of knowledge creates co-worker complementarities

The educational systems of modern economies produce a highly specialized workforce. However, the skills of these workers are all but useless in isolation: only in teams, in which different individuals dispose of different skills, do the benefits of specialization come to fruition. Using data on detailed educational tracks for the universe of Swedish workers, we analyze the match of a worker to her co-workers in terms of their educational complementarity and similarity. To do so, we propose new measures of complementarity and similarity based on large-scale co-occurrence analysis. We find that workers earn wage premia associated with complementarities that are as least as large as the returns to college education. Being similar to co-workers, in contrast, is associated with significant wage losses. We then show that both the returns to schooling and the wage premium associated with working in large cities are almost completely contingent on workers finding complementary co-workers. Moreover, complementarities can explain the shape of Mincer curves and predict establishment survival rates. The fact that complementarities rise fastest for the highest educated part of the workforce suggests that interdependencies and benefits thereof are increasing for the high skill end of the human capital spectrum.