nils-herrmann/clean_scirepeval huggingface dataset:
Ocean sprawl: challenges and opportunities for biodiversity management in a changing world

The last few decades have seen rapid proliferation of hard artificial structures (e.g. energy infra structure, aquaculture, coastal defences) in the marine environment: ocean sprawl. The replacement of natural, often sedimentary, substrata with hard substrata has altered the distribution of species, particularly non indigenous species, and can facilitate the assisted migration of native species at risk from climate change. This has been likened to urbanization as a driver of global biotic homogenization in the marine environment the process by which species invasions and extinctions increase the genetic, taxonomic, or functional similarity of communities at local, regional, and global scales. Ecological engineering research showed that small scale engineering interventions can have a significant positive effect on the biodiversity of artificial structures, promoting more diverse and resilient communities on local scales. This knowledge can be applied to the design of multifunctional structures that provide a range of ecosystem services. In coastal regions, hybrid designs can work with nature to combine hard and soft approaches to coastal defence in a more environmentally sensitive manner. The challenge now is to manage ocean sprawl with the dual goal of supporting human populations and activities, simultaneously strengthening ecosystem resilience using an ecosystem based approach.
Periodontal disease associated biofilm: A reservoir for pathogens of medical importance.
Venue: Microbial pathogenesis

The ecological diversity of the periodontal microenvironment may provide suitable conditions for the colonization of species not usually considered members of the oral microbiota. In this investigation, we aimed to determine the prevalence and levels of pathogenic species of medical relevance in the microbiota of individuals with distinct periodontal clinical status. Subgingival biofilm was obtained from patients with periodontal health (H, n 81) gingivitis (G, n 55) generalized aggressive (AgP, n 36) or chronic periodontitis (CP, n 98) and analyzed for 39 microbial taxa using a checkerboard DNA DNA hybridization technique. Microbial differences among groups, as well as associations between clinical and microbiological parameters were sought by non parametric and univariate correlation tests. Neisseria spp. Peptostreptococus anaerobius, Candida albicans, enterobacteria, Pseudomonas aeruginosa, Eubacterium saphenum, Clostridium difficile and Olsenella uli were detected in high mean prevalence and counts in the subgingival microbiota of the study population. Species that were more related to periodontal inflammation and tissue destruction at the patient and site levels included enterobacteria, C. albicans, Neisseria spp. P. aeruginosa, O. uli, Hafnia alvei, Serratia marcescens and Filifactor alocis (p 0.05) In contrast, Fusobacterium necrophorum, Lactobacillus acidophilus, Staphylococcus aureus and Streptococcus pneumoniae were associated with periodontal health (p 0.05) Pathogenic species of medical importance may be detected in high prevalence and levels in the periodontal microbiota. Regardless of their role in periodontal health or disease, the periodontal biofilm may be a source for dissemination and development of systemic infections by these pathogenic microorganisms.
Knowledge based open Internet of Things service provisioning architecture on beacon enabled Web of Objects
Venue: Int. J. Distributed Sens. Networks

Web of Objects uses a semantic ontology to create and provide knowledge based Internet of Things services in terms of virtual objects and composite virtual objects. The objects are created through virtualization with the use of semantic ontology to form the virtual objects, where multiple virtual objects are combined to form the composite virtual objects to offer the services. Beacon enabled Web of Objects is the extension of the existing web that allows the beacon to broadcast the uniform resource identifier of the real world object to the nearer mobile devices. Based on the user selection and request, the service is handled and offered by the Web of Objects platform; thus, an architecture on the beacon enabled Web of Objects has been proposed in this article. To offer the knowledge based services, a knowledge creation model has been presented. To realize the knowledge based service features on the proposed architecture, a use case scenario has been presented and a conceptual semantic ontology model has been designed. Finally, to assess the features, a prototype has been implemented and demonstrated on the use case scenario.
Rough and tumble play as a window on animal communication
Venue: Biological reviews of the Cambridge Philosophical Society

Rough and tumble play (RT) is a widespread phenomenon in mammals. Since it involves competition, whereby one animal attempts to gain advantage over another, RT runs the risk of escalation to serious fighting. Competition is typically curtailed by some degree of cooperation and different signals help negotiate potential mishaps during RT. This review provides a framework for such signals, showing that they range along two dimensions: one from signals borrowed from other functional contexts to those that are unique to play, and the other from purely emotional expressions to highly cognitive (intentional) constructions. Some animal taxa have exaggerated the emotional and cognitive interplay aspects of play signals, yielding admixtures of communication that have led to complex forms of RT. This complexity has been further exaggerated in some lineages by the development of specific novel gestures that can be used to negotiate playful mood and entice reluctant partners. Play derived gestures may provide new mechanisms by which more sophisticated communication forms can evolve. Therefore, RT and playful communication provide a window into the study of social cognition, emotional regulation and the evolution of communication systems.
Extended grouping of RFID tags based on progressive edge growth methods
Venue: 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

This paper proposes a novel method for recovering missing radio frequency identification (RFID) tag identifiers from a group, based on progressive edge growth (PEG) methods. Extended grouping of RFID tags allows the recovery of missing tag identifiers without external systems such as databases. Motivated by the properties of Tanner graphs, or equivalently, parity check matrices constructed using PEG methods, extended grouping via the PEG method is proposed. In addition, this paper examines the performance and complexity of Gaussian elimination (GE) and iterative (IT) decoding algorithms. Simulation results are presented, showing that the proposed method can make significant missing recovery enhancements compared to other extended grouping methods.
Lowering the error floor of short to medium length LDPC codes using optimal low correlated edge density (OED) PEG Tanner graphs
Venue: 2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

We propose a simple modification to the progressive edge growth (PEG) algorithm in order to control the girth of low density parity check (LDPC) code Tanner graphs constructed. Using the modified algorithm, the edge densities in short irregular rate LDPC code graphs can be increased without increasing the correlation between edges in graphs by creating cycles of undesired length. Density evolution (DE) optimized symbol node degree distributions used for constructing short to medium length codes were further optimized (slightly altered) while maintaining the maximum edge correlation (minimum local girths) that exists in graphs constructed using the unaltered DE optimized distributions. As a result of improved degree sequences (and graph densities) which were derived, short to medium length LDPC codes with lower error floors than published for LDPC codes of identical length and rate were found. These slightly denser codes have lower error floor than codes constructed using DE optimized degree distributions in PEG algorithms modified for improved approximate cycle extrinsic message degrees (ACE) Simulation results show that, at a code length of 512, efficient irregular rate PEG codes have significantly lower error floors than a rate IEEE 802.16e (WiMAX) LDPC code of length 576.
Implications of Policies and Procedures in Sustainable Rural Tourism Development (SRTD) A Case Study of Sri Lanka

Developing tourism in rural areas is found as a panacea for many developing countries to alleviate poverty and overcome many other developmental challenges. Although tourism, a non traditional developmental intervention accrue some economic benefits for local settings, negative impacts of tourism exacerbates the positive impacts. On the one hand Tourism is politically sound development strategy in recapturing and regenerating the development in rural areas on the other hand it challenges the sustainability in the rural development process. This study intended to appraise the role of policies and procedures in Sustainable Rural Tourism Development (SRTD) with the naturalistic evidences from tourism development in rural Sri Lanka. It employed critical qualitative research design to bring forth the interpretations from natural setting through personal interviews, direct observation and field notes in addition to a wide documental review. Documental reviews illuminate a number of ideals of SRTD in supporting local community empowerment, regenerating rural livelihoods, preserving and conserving socio culture and environment. However, in reality socially constructed world of rural Sri Lanka reveals that the sustainable rural tourism development is curtailed by the inappropriate and unsteady policy formulation and implementation. Weaken policy formulation and implementation in real world of rural tourism development averts the ideals of SRTD.
Satisfaction With Appearance Scale SWAP: Adaptation and validation for Brazilian burn victims.
Venue: Burns journal of the International Society for Burn Injuries

Methodological study that aimed to adapt the Satisfaction with Appearance Scale (SWAP) into Brazilian Portuguese language and to assess the validity, the reliability and the dimensionality of the adapted version in a sample of Brazilian burn victims.  We carried out the adaptation process according to the international literature. Construct validity was assessed by correlating the adapted version of SWAP scores with depression (Beck Depression Index) self esteem (Rosenberg Self Esteem Scale) health related quality of Life (Short Form Health Survey 36) and health status of burn victims (Burn Specific Health Scale Revised) and with gender, total body surface area burned, and visibility of the scars. We tested dimensionality using Exploratory Factor Analysis (EFA) and the reliability by means of Cronbach's alpha.  Participants were 106 adult burned patients. The correlations between the Brazilian version of the SWAP scores and the correlated construct measures varied from moderate to strong (r=.30 .77) The participants who perceived their burn sequelae was visible reported being more dissatisfied with their body image than the participants who answered that their scars would not be visible (p<.001) Cronbach's alpha for the adapted version was 0.88 and the item total correlation varied from moderate to strong (r=.35 .73) The EFA resulted in three factors with a total explained variance percentage of 63.2%  The Brazilian version of the SWAP was valid and reliable for use with Brazilian burn victims.
Submarine structural and acoustic attenuation

In this paper, the low frequency vibro acoustic responses from a submerged hull are attenuated using passive, active, and hybrid control strategies. An analytical model representing a simplified physical model of a submarine hull is developed, including the effects of ring stiffeners, bulkheads, and external fluid loading. At low frequencies, rotation of the propeller results in discrete tones at the blade passing frequency and its harmonics. The fluctuating forces at the propeller are transmitted through the propulsion system, resulting in excitation of the low frequency hull vibrational modes, which in turn results in a high level of structure borne radiated noise. In this work tuned vibration absorbers, active vibration control, and hybrid vibration absorbers are used to attenuate the breathing and bending modes of the submerged hull. The control performance of a hybrid vibration absorber is compared to the attenuation achieved using a passive absorber and the control performance of a fully active system. Results show that implementation of the hybrid vibration absorber results in significant attenuation of the structural and acoustic responses of the hull. The hybrid vibration absorber also requires a control force of lower magnitude compared with a fully active control system.
The fast prediction of sound radiation from typical submarine cabin based on acoustic transfer vector
Venue: 2016 IEEE/OES China Ocean Acoustics (COA)

The prediction of noise radiated by underwater structures is one of the most important research topics in the field of acoustics. This paper aims to set up an integrated approach for acoustic radiation analysis that could be used to assess and optimize the vibro acoustic performance of pre determined design targets, while identifying and quantifying the sound sources responsible for the behaviour. Such an approach, based on numerical procedures or experimental data, enables the fast prediction of sound radiation from a typical submarine cabin (a double cylindrical shell with superstructure) Vibro acoustic prediction in the low to mid frequency range is generally performed through the boundary element method (BEM) or finite element method (FEM) In this paper, a combined usage of the two methodologies is adopted: FEM is used for the structural dynamics and BEM for the acoustic problem resolution. The acoustic field obtained by the FEM/BEM approach is adopted as the reference result. Meanwhile, acoustic transfer vector (ATV) technology is performed with the use of velocity distribution of the cabin. It is verified that the calculation results between the two methods are in substantial agreement, while the ATV method shows greater efficiency. Experimental research on the vibration of a scaled model is also performed. Comparing the experimental and numerical radiation results based on measured vibration data enables the accuracy level of the ATV forecast method to be assessed. From this, it is probable that the fast prediction of sound radiation by use of ATV is an effective approach for rapid evaluation of the vibro acoustic response in the engine development process.
The fast prediction of sound radiation from typical submarine cabin based on acoustic transfer vector

The prediction of noise radiated by underwater structures is one of the most important research topics in the field of acoustics. This paper aims to set up an integrated approach for acoustic radiation analysis that could be used to assess and optimize the vibro acoustic performance of pre determined design targets, while identifying and quantifying the sound sources responsible for the behaviour. Such an approach, based on numerical procedures or experimental data, enables the fast prediction of sound radiation from a typical submarine cabin (a double cylindrical shell with superstructure) Vibro acoustic prediction in the low to mid frequency range is generally performed through the boundary element method (BEM) or finite element method (FEM) In this paper, a combined usage of the two methodologies is adopted: FEM is used for the structural dynamics and BEM for the acoustic problem resolution. The acoustic field obtained by the FEM/BEM approach is adopted as the reference result. Meanwhile, acoustic transfer vector (ATV) technology is performed with the use of velocity distribution of the cabin. It is verified that the calculation results between the two methods are in substantial agreement, while the ATV method shows greater efficiency. Experimental research on the vibration of a scaled model is also performed. Comparing the experimental and numerical radiation results based on measured vibration data enables the accuracy level of the ATV forecast method to be assessed. From this, it is probable that the fast prediction of sound radiation by use of ATV is an effective approach for rapid evaluation of the vibro acoustic response in the engine development process.
Clonal persistence of Salmonella enterica serovars Montevideo, Tennessee, and Infantis in feed factories.
Venue: Journal of infection in developing countries

Novel molecular techniques applied in biotechnology research have provided sound evidence on clonal persistence of distinct serovars of Salmonella in feed factory environments, over long periods of time (months, even years) which can be responsible for repeated in house contamination of final products. In this study, we examined the possibility of clonal persistence of isolates of three Salmonella serovars that have been repeatedly identified in animal feed samples from three feed factories throughout a two year period.  The isolates Salmonella enterica serovars Tennessee (n 7) Montevideo (n 8) and Infantis (n 4) were tested for genetic diversity using pulsed field gel electrophoresis (PFGE) and multicellular behavior patterns by applying the Congo red agar test.  SpeI and XbaI macro restriction profiles indicated that isolates S. Montevideo and S. Infantis were identical, whereas isolates of S. Tennessee demonstrated greater genetic diversity, although the genetic differences did not exceed 10% All Salmonella serovars demonstrated the ability to produce predominant matrix compounds essential for biofilm formation, curli fimbriae and cellulose.  The identification of identical clones of S. Montevideo and S. Infantis, as well as the minor genetic diversity of S. Tennessee, which have been repeatedly isolated from animal feed in three production plants throughout a two year period, indirectly suggests the possibility of their persistence in feed factory environments. Their ability to express the key biofilm matrix components further supports this hypothesis.
Kinetic study of aflatoxins' degradation in the presence of ozone

The degradation of aflatoxins AFB1, AFB2, AFG1 and AFG2 after treatment of their solutions in triple distilled water with ozone was studied and the ability of ozone, even at low concentrations, to degrade aflatoxins was proved. Ozone concentrations of 8.5, 13.5, 20, 25 and 40 ppm were applied at different temperatures on aflatoxin solutions in triple distilled water of 10 ppb and 2 ppb and the complete and rapid elimination of AFB1 and AFG1 was observed while AFB2 and AFG2 remain more or less stable. The kinetic equations for the degradation procedure were calculated by applying ozone on neutral buffer solutions of aflatoxin at 298.15, 308.15, 318.15 and 328.15 K at ozone concentrations of 8.5, 13.5 and 20 ppm and the rate constants, were determined. The degradation of aflatoxins was described by a first order kinetic equation. Finally, the activation energies during degradation of aflatoxins were calculated from the Arrhenius equation.
Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values
Venue: Inf. Sci.

Multicriteria decision making (MCDM) in intuitionistic fuzzy environments is a very important research topic. In this paper, we propose a new MCDM method based on the TOPSIS method and similarity measures between intuitionistic fuzzy values (IFVs) First, the proposed method calculates the degree of indeterminacy of each evaluating IFV given by the decision maker. Then, it gets the relative positive ideal solution and the relative negative ideal solution for the criteria, respectively. Then, it calculates the degrees of indeterminacy of the relative positive ideal value and the relative negative ideal value for each criterion, respectively. Then, it calculates the positive similarity degrees and the negative similarity degrees between the evaluating IFVs and the relative positive ideal solutions and the relative negative ideal solutions for the criteria, respectively. Finally, it calculates the weighted positive score and the weighted negative score of each alternative, respectively, to get the relative degree of closeness of each alternative. The larger the relative degree of closeness of the alternative, the better the preference order of the alternative. The experimental results show that the proposed method can overcome the drawbacks of Joshi and Kumar's method (2014) Wang and Wei's method (2008) and Wu and Chen's method (2011) for MCDM in intuitionistic fuzzy environments.
Adaptive fuzzy interpolation based on ranking values of polygonal fuzzy sets and similarity measures between polygonal fuzzy sets
Venue: Inf. Sci.

After the fuzzy interpolative reasoning processes, if two unequal fuzzy interpolative reasoning results are derived (or one derived and another observed) for a consequence variable of a fuzzy rule, then it is called a contradiction in the fuzzy interpolative reasoning process. In recent years, some adaptive fuzzy interpolation methods for sparse fuzzy rule based systems have been presented to solve contradictions after fuzzy interpolative reasoning processes. In this paper, a new adaptive fuzzy interpolation method is proposed for sparse fuzzy rule based systems based on ranking values and similarity measures of polygonal fuzzy sets, which can solve contradictions occurred in fuzzy interpolative reasoning processes. We also apply the proposed adaptive fuzzy interpolation method to predict the diarrheal disease rates in roadless villages. The diarrheal disease prediction problem focuses on the issue to measure how the construction of a new road or railway in a previously roadless area may affect the epidemiology of infectious diseases in northern coastal Ecuador. The experimental results show that the proposed adaptive fuzzy interpolation method can overcome the drawbacks of the existing methods.
The Survey of Knowledge, Attitude and Performance Of Female Barbers in Relation to Job's Environmental Health: A Case Study of Malayer City

Hygiene disregarding and usage of contaminated tools leads to viral infections, fungal, bacterial and skin diseases, eczema, warts, tetanus and so on. Thus assessment of knowledge, attitudes and performance of barbers in order to ensure the security and public health is really necessary. This study is aimed at determining the knowledge, attitude and performance of female barbers in relation to job's environmental health in Malayer city. In present descriptive analytical study, 75 female barbers sampling of Malayer city were selected by clusters systematic method. The data were obtained through questionnaires for completion and checklist. Data analysis was performed using SPSS 21 statistical software. The result showed, 86.66% of people have attained correct awareness of regulations and 92.28% had positive attitude toward regulations and 86.38% of people in this study showed appropriate health practice. In order to, compare the average knowledge level in regard to parameters such as age, work experiences and income situation showed a statistically significant difference. In attitude and performance section, the difference between age and mentioned parameters was not statistically significant (P> 0.05) Despite the desirable level of knowledge, attitude and practice of barbers female in Malayer city, in order to improve the situation, to be better the presence of barbers in special guilds courses to train seriously.