Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics of spreading and alignment of cells cultured in vitro on a grooved polymer surface

We used mechanically embossed polyester films to analyze the dynamics of cell alignment and cell-specific factors modulating the response of Chinese hamster ovary (CHO) cells and of a rat myogenic cell line to the surface topography. The films used had grooves with a periodicity of approximately 750 nm and a depth of 150 nm. Both cell lines responded to the topographical feature. On unpatterned control areas, cells of both lines showed a random distribution with orientation angles close to 45°. Both cell types exhibited an elongated morphology on the patterned surface. CHO cells typically showed bipolar spreading. Their contact area increased almost exclusively along the groove direction. Likewise, freshly seeded rat myoblasts displayed protrusions emerging in parallel with the grooves. However, myoblasts frequently had more than two sites with plasma protrusions pulling the cells along different grooves. They could also develop lamellipodia expanding without a preferred direction and long filopodia.
CSA: A Credibility Search Algorithm Based on Different Query in Unstructured Peer-to-Peer Networks

Efficient searching for resources has become a challenging task with less network bandwidth consumption in unstructured peer-to-peer (P2P) networks. Heuristic search mechanism is an effective method which depends on the previous searches to guide future ones. In the proposed methods, searching for high-repetition resources is more effective. However, the performances of the searches for nonrepetition or low-repetition or rare resources need to be improved. As for this problem, considering the similarity between social networks and unstructured P2P networks, we present a credibility search algorithm based on different queries according to the trust production principle in sociology and psychology. In this method, queries are divided into familiar queries and unfamiliar queries. For different queries, we adopt different ways to get the credibility of node to its each neighbor. And then queries should be forwarded by the neighbor nodes with higher credibility. Experimental results show that our method can improve query hit rate and reduce search delay with low bandwidth consumption in three different network topologies under static and dynamic network environments.
Analysing Creative Image Search Information Needs

Creative professionals in advertising, marketing, design and journalism search for images to visually represent a concept for their project. The main purpose of this paper is to present search facets derived from an analysis of documents known as briefs, which are widely used in creative industries as requirement documents describing information needs. The briefs specify the type of image required, such as the content and context of use for the image and represent the topic from which the searcher builds an image query. We take three main sources—user image search behaviour, briefs, and image search engine search facets to examine the search facets for image searching in order to examine the following research question—are search facet schemes for image search engines sufficient for user needs, or is revision needed? We found that there are three main classes of user search facet, which include business, contextual and image related information. The key argument in the paper is that the facet “keyword/tag” is ambiguous and does not support user needs for more generic descriptions to broaden search or specific descriptions to narrow their search — we suggest that a more detailed search facet scheme would be appropriate.
Coaching and the Change Paradox: A Heuristic Study

Research shows that a desired change, even when attempted, is not always sustained; this is the change paradox. Using a heuristic methodology this study focused on the experiences of six coresearchers as they explored their own change paradox within a coaching setting using the Immunity to Change process. The findings were fused into a synthesis of all the experiences where this dynamic “flow of change” incorporated the emergent themes: recognising the need for change; the familiarity of this change; methods of support needed for maintaining the change. The main conclusion drawn was that this understanding of the dynamic “flow of change” enhances the Immunity to Change process and is potentially a useful addition to the coach’s toolkit.
Big Data Analytics for Professionals, Data-milling for Laypeople

There exist large amounts of heterogeneous digital data. This phenomenon is called Big Data which will be examined. The examination of Big Data has been launched as Big Data analytics. In this paper, we present the literature review of definitions for Big Data analytics. The objective of this review is to describe current reported knowledge in terms of what kind of Big Data analytics is defined in the articles that can be found in ACM and IEEE Xplore databases in June 2013. We found 19 defining parts of the articles for Big Data analytics. Our review shows that Big Data analytics is verbosely explained, and the explanations have been meant for professionals. Furthermore, the findings show that the concept of Big Data analytics is unestablished. Big Data analytics is ambiguous to the professionals - how would we explain it to laypeople (e.g. leaders)? Therefore, we launch the term data-milling to illustrate an effort to uncover the information nuggets. Data-milling can be seen as an examination of heterogeneous data or as part of competitive advantage. Our example concerns investments of coal power plants in Europe.
Sweet Sorghum Genetic Diversity and Association Mapping for Brix and Height

Sweet sorghum [Sorghum bicolor (L.) Moench], like its close relative, sugarcane (Saccharum spp.), has been selected to accumulate high levels of edible sugars in the stem. Sweet sorghums are tall and produce high biomass in addition to sugar. Little has been documented about the genetic relationships and diversity within sweet sorghums and how sweet sorghums relate to grain sorghum racial types. In this study, a diverse panel of 125 sorghums (mostly sweet) was successfully genotyped with 47 simple sequence repeats (SSRs) and 322 single nucleotide polymorphisms (SNPs). Using both distance‐based and model‐based methods, we identified three main genetic groupings of sweet sorghums. Based on observed phenotypes and known origins we classified the three groups as historical and modern syrup, modern sugar/energy types, and amber types. Using SSR markers also scored in an available large grain sorghum germplasm panel, we found that these three sweet groupings clustered with kafir/bicolor, caudatum, and bicolor types, respectively. Using the information on population structure and relatedness, association mapping was performed for height and stem sugar (brix) traits. Three significant associations for height were detected. Two of these, on chromosomes 9 and 6, support published QTL studies. One significant association for brix, on chromosome 1, 12kb from a glucose‐6‐phosphate isomerase homolog, was detected.
Impact of ownership structure (concentration) on firm accounting based and market based performance: evidence from Iran

The paper compares the effect of ownership structure on firm accounting based and market based performance using a sample of Iranian manufacturing and trading companies. We use Ordinary Least Squares (OLS) methods to empirically test relationship between ownership structure and profitability . We examine ownership structure through ownership concentration, company accounting based performance with ROA & ROI indicators and market based performance with P/E index. We summarize the effects of ownership concentration on performance in terms of two hypotheses: 1. high concentrated ownership companies should have better accounting based performance. 2. There is a significant negative relationship between ownership structure and market based performance in manufacturing and trading firms. Controlling nation effects and some other indicators we find a positive effect of ownership concentration on accounting based performance (ROA&ROI), but a negative effect on market based performance.
colonic polyps High-definition vs . standard-definition endoscopy with indigo carmine for the in vivo diagnosis of

Background: There is growing evidence that indigo carmine chromoendoscopy is effective for the in vivo diagnosis of colonic polyps. However, the impact of colonoscope resolution on diagnostic accuracy has not been investigated. Objective: We aimed to compare the effectiveness of in vivo diagnosis of small colonic polyps using indigo carmine dye spray with standard-definition and high-definition colonoscopes. Methods: Procedures were performed using Fujinon colonoscopes and EPX 4400 processor. Fujinon standard-definition (SD) and high-definition (HD) colonoscopes were used, with the endoscopist blinded to colonoscope definition. Polyps <10 mm were assessed using 0.2% indigo carmine dye spray, with the predicted diagnosis recorded. In each case the kind of colonoscope (SD or HD) was recorded. Polyps were removed and sent for histological analysis, with the pathologist blinded to the diagnosis made by the endoscopist. The predicted diagnosis was compared with the true histology to calculate the accuracy, sensitivity and specificity of in vivo assessment using either SD or HD scopes. Results: In total 237 polyps <10 mm in size were examined. There was no statistically significant difference for any of the measured parameters between SD and HD assessments, with an accuracy, sensitivity and specificity of 89%, 91% and 87% with SD colonoscopes and 92%, 96% and 84% with HD colonoscopes. Conclusions: The accuracy of in vivo assessment of small colonic polyps with indigo carmine dye spray is excellent with standard-definition colonoscopes and is not improved with high-definition colonoscopes.
Evaluating Periarticular Screw Margins for Locking Plate Osteosynthesis of Proximal Humerus Fractures

Introduction: The purpose of this study was to determine whether placing screws farther from the articular cortex could achieve comparable levels of purchase to the more deeply buried configurations currently recommended (between 5 and 8 mm from the articular surface), thus lowering the risk of screw cutout. Methods: Locking screws were inserted into synthetic composite models of osteoporotic bone at depths corresponding to 8, 11 and 14 mm from the articular surface of an anatomic reference model and subjected to mechanical testing. This protocol was then recapitulated in 24 paired cadaveric humeral specimens to assess the forces required to dislodge screws at depths of 8 and 14 mm from the articular surfaces. Results: The average pullout strengths of screws positioned 8, 11 and 14 mm from the articular surface in the synthetic bone composites were 145.64, 140.31 and 140.36 N respectively, demonstrating no significant difference. Pullout testing was performed with screw depths of 8 and 14 mm from the articular surfaces in 24 paired proximal humerus samples. The mean pullout strength of screws 8 and 14 mm from the articular surface were 23.92 and 21.79 N respectively (p=0.37). Conclusion: This study demonstrates no significant difference in locking screw purchase up to 14 mm of the articular margin. Increasing the periarticular distance of locking screws can help confer strength and stability to the implant, while simultaneously mitigating the risk of screw cutout. Clinical relevance: Biomechanical study comparing screw purchase of varying periarticular margins to decrease risk of screw cutout without sacrificing fixation.
Personalising the Fight against Triple Negative Breast Cancer

Triple Negative Breast Cancer (TNBC) is a highly heterogeneous disease. Lacking hormone receptors, ER and PR, as well as HER2 amplification, these cancers cannot be treated with more modern, targeted therapies such as tamoxifen or trastuzumab. Thus, the current standard of care for these patients is cytotoxic chemotherapy with varied clinical response. However, all patients experience unwanted and debilitating side effects regardless of response. Therefore, TNBC represents a significant unmet clinical need and finding more targeted and effective treatment approaches for this aggressive disease is an area of active research. The success of such agents has been hindered by the heterogeneity of the disease, with many new drugs only showing promising results in small populations. In order for targeted treatments to succeed, predictive biomarkers must be developed which can stratify patients and drive treatment choices. This review looks at the most promising areas of research regarding targeted therapy in TNBC as well as associated biomarkers that can be used to guide treatment.
The Impact of Object Complexity on Visual Working Memory Capacity

The capacity of visual working memory (VWM) is regarded as one of the central themes in working memory. Related studies-on cognitive psychology and neuroscience level focused on the flexibility of capacity of working memory and the influencing factors. The current study aimed at the relationship of object complexity and VWM capacity, which used change detection paradigm in order to reveal the mechanism of object representation in visual working memory. We explored the impact of complexity on capacity of VWM by different-complexity-level Snodgrass line drawings. Participants were required to remember 2, 3 or 5 objects at the same time. In experiment 1, we set the initial stimulus exposure time at 500 ms to investigate the complexity effect. Then we varied the duration of the initial stimulus exposure time to 250 ms, 750 ms to rule out perception constraint and the test the time course of the complexity effect. We found that the middle-level-complexity object had the best performance which could be named as “middle complexity effect”. This effect was not the result restrained by the perception and disappeared when the exposure time was prolonged to 750 ms.
An Iterative Automatic Final Alignment Method in the Ontology Matching System

Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used. After the execution of these matchers and the aggregation of the results obtained by these matchers, a final alignment method is executed in order to select appropriate correspondences between entities of compared ontologies. The final alignment method is an important part of the ontology matching process because it directly determines the output result of this process. In this paper we improve our iterative final alignment method by introducing an automatic adjustment of final alignment threshold as well as a new rule for determining false correspondences with similarity values greater than adjusted threshold. An evaluation of the method is performed on the test ontologies of the OAEI evaluation contest and a comparison with other final alignment methods is given.
Perceptual Differences in Service Quality

The major aim of the research paper is to find out whether there are any differences between the employee's perception and customer's perception towards service quality in commercial banks. Primary data has been collected from the bank employees and customers in Manmunai North and Kattankudy divisional secretariat areas in Batticaloa District. Stratified random sampling was used to obtain 225 responses from employees of banks and quota sampling was used to obtain 225 responses from customers of banking services. The collected data were used to test the differences using t-test and ANOVA analysis. The results imply that there are differences in the service quality between the employees' and customers' perception. Employees perceive the service quality at higher level compared to the perception of customers. Several insights for this difference were discussed.
Remifentanil Has Sufficient Hypnotic and Amnesic Effect for Induction of Anesthesia by Itself

With a small-dose remifentanil, some patients showed no reaction and did not remember it postoperatively. We, therefore, hypothesized that remifentanil may decrease the level of consciousness and/or exhibit amnesic effect when stimulations are avoided. Thirty-patients were divided into two groups: non-stimulation group and stimulation group. Anesthesia was induced with 1 micro-g·kg? 1·min? 1 of remifentanil using no additional hypnotic agent. In the non-stimulation group, patients were left free from any stimulation except non-invasive blood pressure monitoring. In the stimulation group, patients were asked to follow verbal commands. The level of consciousness was evaluated with electroencephalogram and BIS-value derived from it. In the non-stimulation group, all patients reached the decreased level of consciousness in 5 minutes. In the stimulation group, however, 14 patients were judged to be still conscious. 10 patients could open their mouth at the 5th minute, but 9 of these 10 patients did not remember it postoperatively. In conclusion, remifentanil, with no additional anesthetics, exhibited hypnotic and amnesic effects when stimulations were kept minimal.
the simulation of the optimal classification mathematical model based on chaos probabilistic analysis

This paper proposes the establishment and simulation of one optimal classification mathematical model based on chaos probability analysis. A kind of recurrence plot chaotic analysis algorithm is applied to recognize the mathematical classification features and the improved neural network algorithm is used to design the mathematical classification model. The simulation experiments illustrate the proposed classification mathematical model can effectively classify and reorganize each types of data with satisfactory performance. The error rates are reduced averagely by 13% compared with the neural network classifiers, which reflects the superior performance of the algorithm. The proposed algorithm can be effectively applied in the classification reorganization fields, such as data mining, troubleshooting diagnosis and targets identification.
The quality of the forage eaten by Norwegian reindeer on South Georgia in summer

The chemical composition and digestibility of plants selected by Norwegian reindeer (Rangifer t. tarandus) on the sub-Antarctic island of South Georgia (SG) were investigated in the austral summer and compared with two qualities of standard grasses of Phleum pratense of European origin. Paridiochola flabellata, Poa pratense, Poa annua, Deschampsia antarctka, and Phleum alpinum collected on SG contained 14.8, 17.6, 22.8, 16.1 and 10.1% respectively of crude protein of dry matter (DM). Aceana magellanica also collected on SG contained 19.8% of crude protein and 18.8% of water-soluble carbohydrates (WSC) of DM, while the tussock grass P. flabellata, contained as much as 29-3% of WSC of DM. Total plant cell-wall contents (CWC), including cellulose, hemi-cellulose and lignin in P. flabellata, P. pratense, P. annua and P. alpinum were 53.2, 49.6, 41.7 and 40.4% of DM respectively, while A. magellanica contained only 17.5% of DM CWC. The lignin concentrations of plants analysed varied between 1.2 and 3.2% of DM. Mean in vitro dry matter digestibility (IVDMD) of selected plants ranged from 70% in P. flabellata to 83% in P. alpinum after 48 h incubation in rumen fluid from these reindeer. In contrast, the IVDMD of the poor and high quality standard grass Phleum pratense were 54% and 73% of DM, respectively. The forage eaten by reindeer on SG in summer was of high quality, with low lignin content, moderate protein concentration and high degradability in rumen fluid.
Surface speed and frontal ablation of Kronebreen and Kongsbreen, NW Svalbard, from SAR offset tracking

Abstract. Kronebreen and Kongsbreen are among the fastest-flowing glaciers on Svalbard and, therefore, important contributors to the total dynamic mass loss from the archipelago. Here, we present a time series of area-wide surface velocity fields from April 2012 to December 2013 based on offset tracking on repeat high-resolution Radarsat-2 Ultrafine data. Surface speeds reached up to 3.2 m d−1 near the calving front of Kronebreen in summer 2013 and 2.7 m d−1 at Kongsbreen in late autumn 2012. Additional velocity fields from Radarsat-1, Radarsat-2 and TerraSAR-X data since December 2007 together with continuous GPS measurements on Kronebreen since September 2008 revealed complex patterns in seasonal and interannual speed evolution. Part of the ice-flow variations seem closely linked to the amount and timing of surface meltwater production and rainfall, both of which are known to have a strong influence on the basal water pressure and hence basal lubrication. In addition, terminus retreat and the associated reduction in back stress appear to have influenced the speed close to the calving front, especially at Kongsbreen in 2012 and 2013. Since 2007, Kongsbreen retreated up to 1800 m, corresponding to a total area loss of 2.5 km2. In 2011 the retreat of Kronebreen of up to 850 m, responsible for a total area loss of 2.8 km2, was triggered after a phase of stable terminus position since ~ 1990. Retreat is an important component of the mass balance of both glaciers, in which frontal ablation is the largest component. Total frontal ablation between April 2012 and December 2013 was estimated to 0.21–0.25 Gt a−1 for Kronebreen and 0.14–0.16 Gt a−1 for Kongsbreen.
Weather Detector for Motorcyclist with Notification from GSM/GPRS Module

This paper presents a weather detector for the motorcyclist. The device notifies the user by sending SMS and turns on the emergency light during rain. The device will detect three different weather conditions which are rain warning, heavy rain and sunny day. Water drop sensor will measure the resistance of the sensor if the water drops at the surface of the sensor and send data to the Arduino. Arduino will make a decision accordingly; then it will command the GSM/GPRS module to send a message to the user regarding the weather condition. The message will be sent for every 30 minutes throughout the rain. If the user were riding the motorcycle when the rain started, the emergency light would be turned on to alert another vehicle. Results showed that the system could differentiate three different weather condition and able to send out a warning message to the user when it would rain or heavy rain.
Maximum Value of the Symmetrical Diagonal Matrix Based Two - Dimensional Eigenface s for Facial Recognition on the Variant Lighting and Expressions

This research proposed a new approach to recognize face image under various lighting expression. The Proposed method is started by generating of the Left Diagonal Matrix (LDM) and the Right Diagonal Matrix (RDM). Subsequently, the dimensionality reduction is conducted by using Two- Dimensional Eigenface of the LDM and the RDM. The results of dimensionality reduction are selected the maximum value based on the corresponding features. Finally, the geometric similarity measurement model is carried out to obtain the recognition rate. The proposed method was evaluated using three different facial image databases, which are the YALE, the ORL and the UoB face image databases. Two until six column features were used to measure the similarity between the training and the testing sets. Experimental results revealed that the proposed method produced 94.7%, 94%, and 92.2% recognition rate for the YALE, the ORL, and the UoB face image databases respectively. The proposed method was also compared to the other methods. On the ORL face image database, the comparison results show that the proposed method outperformed to the Eigenface, the Fisherface, and the Laplacianfaces but not for O-Laplacianfaces and Two-Dimensional Principal Component Analysis method. On the YALE and the UoB face image databases, the proposed method outperformed to the other appearance methods which are the Eigenface, the Fisherface, the Laplacianfaces, the O-Laplacianfaces and Two- Dimensional Principal Component Analysis methods.