Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparisons of Three Different Sensors in Different Ambient Vibration Measurements

The accuracy of the vibration measurements is directly related to testing equipment. There are some reasons that affect the performance of instruments like sensitivity, internal noise level, temperature, pressure etc. The influence of instruments should be considered in vibration recordings. There are too many products on the market. For the researchers, the main struggle is to decide which sensors or digitizers or their combinations should be used for the defined study aim or the equipment which they have is suitable or not for their purpose of the study. There are limited studies in this field in the literature. In this study, three different sensors were compared in the frequency domain, a seismometer and two different accelerometers. The seismometer is Guralp CMG-6TD (G6), one of the accelerometers is Guralp CMG-5TCDE (G5) and the other one is TDG Sensebox-7021 (TDG). The measurements were conducted in a four-story, residential reinforced concrete (RC) frame building. G6 and G5, G5 and TDG were compared to each other in two different measurements. As a result of this study, in all comparisons, the first mode’s frequencies were very close to each other and the frequency spectrums which established by means of the compared instruments were quite similar to each other. 
Phosphorus and Sediment in Runoff after Core Cultivation of Creeping Bentgrass and Perennial Ryegrass Turfs

Limited research has been conducted on nutrient and sediment loss in runoff from mechanically disturbed turfgrass sites. This study assessed the effect of turfgrass species after core cultivation and fertilization on total dissolved P (as PO 4 3- ) loss and sediment transport. Six sloped (9-11%) plots (18.9 by 6.4 m or 121 m 2 ) consisting of either creeping bentgrass (Agrostis palustris Huds.) or perennial ryegrass (Lolium perenne L.) were maintained as golf course fairways. Composite runoff samples were collected after simulated rainfall (152 mm h -1 ) and sediment yield was determined. Phosphate-P concentrations in runoff were equal to or lower than previously reported losses from turfgrass sites and were highest, 6 mg L -1 , within 24 h after fertilizer application. The initially high PO 4 3- -P concentrations were temporary and decreased with time. Phosphate-P export was significantly higher for perennial ryegrass than creeping bentgrass on one occasion following fertilization and simulated rainfall. Sediment loading did not differ between turfgrass species and was considered low, never exceeding 0.35 kg ha -1 . As a consequence, the initially high but temporary PO 4 3- -P concentrations found in runoff, and the minimal erosion, should not be considered a serious threat to surface waters after core cultivation.
Phytoplankton production and adaptation in the vicinity of Pemba and Zanzibar islands, Tanzania

Phytoplankton production and physiology were investigated at six selected locations during a research cruise in early October 2007 in Tanzanian coastal waters. The dataset included photosynthesis– irradiance and active fluorescence parameters, phytoplankton absorption coefficients, and pigment concentrations. Primary production was estimated to vary over the range 0.79–1.89 g C m−2 d−1. Diagnostic pigments indicated that micro–nanophytoplankton comprised the communities at three stations and nano–picoplankton at the other three stations. At all stations, the populations maximised their photosynthesis in the upper water column under elevated irradiance and low nutrient conditions. Significant photosynthetic activity was also observed at depth under very low light where the communities increased their quantum yield of photochemistry and the proportion of accessory chlorophylls b and c and photosynthetic carotenoids.
Nurses' Perceptions of the Impact of the Electronic Health Record on Clinical Decision-Making

3 Introduction.4 Purpose of Study.4 Theoretical Framework.5 Review of Literature.6 How the EHR affects nurses’ critical thinking and decision making.6 Factors Affecting Nurses’ Critical Thinking And Decision-Making.9 How the EHR benefits health care teams.12 How The EHR Affects Patients And Hospital.13 Research Study.18 Findings.20 Discussion.29 Limitations.32 Implications for Future Research.32 References.34 THE IMPACT OF ELECTRONIC HEALTH RECORD USE 3 Abstract This study explored the impact of electronic health record (EHR) use on registered nurses’ critical thinking, decision-making, and quality of care for hospitalized patients. Based on literature review, the researcher maintained a consistent definition of critical thinking and decision-making and how the use of the EHR affects these two complex yet significant processes. A descriptive survey design to assessed registered nurses’ attitudes and perceptions ofThis study explored the impact of electronic health record (EHR) use on registered nurses’ critical thinking, decision-making, and quality of care for hospitalized patients. Based on literature review, the researcher maintained a consistent definition of critical thinking and decision-making and how the use of the EHR affects these two complex yet significant processes. A descriptive survey design to assessed registered nurses’ attitudes and perceptions of how the EHR influences their clinical decision-making when caring for patients in an acute care setting. It found that nurses are aware that the EHR is beneficial, yet they often feel that electronically charting can be time consuming as they have to navigate through several tabs and document in places that are often complex and repetitive, taking time away from being more present at the patient’s bedside. Findings in this study supports a majority of those found in the literature review. Understanding how nurses’ are affected from interacting with the EHR as part of their daily routine will offer insights on what improvements can potentially be more efficient as nurses work to bring high quality patient care.
Neural Kernels and ImageNet Multi-Label Accuracy

Inspired by the success of deep learning, we investigate the connections between neural networks and simple building blocks in kernel space in order to create a kernel that achieves performance closer to state of the art on CIFAR10. Additionally, we evaluate human accuracy on ImageNet with a multi-label accuracy metric in order to better understand the robustness of machine models. By looking at both, we can better understand di ﬀ erent failure modes of various machine learning models to improve performance in the ﬁeld
Understanding Contribution of Physical Accessibility in Perceptual Conviviality of Public Open Spaces using Analytical Hierarchy Process

The objective of this study is to examine contribution of accessibility in creating conviviality at a public open space. In literature, conviviality is discussed as the subjective quality of public spaces, but its quantification is not adequately discussed. Conviviality means, being happy in the company of others. From different studies, it was found that there are physical aspects of built environment which can influence conviviality. Legibility, network integration and walkability in built environment can increase accessibility which can contribute in conviviality of a public open spaces. The methodology of this work is based on comparison between perceptual conviviality with physical parameters of accessibility in public open spaces. With the help of experts, weights are derived through Analytical Hierarchy Process (AHP) for perceptual conviviality parameters and physical accessibility attributes. Based on this work, it was empirically validated that accessibility plays important role in conviviality at a public open space.
Applying the dark diversity concept to plants at the European scale

Large-scale biodiversity maps are essential to macroecology. However, between-region comparisons can be more useful if patterns of observed species richness are supplemented by variations in dark diversity – the absent portion of the species pool. We aim to quantify and map plant diversity across Europe by using a measure that accounts for both observed and dark diversity. To do this we need to delimit suitable species pools, and evaluate the potential and limitation of a large-scale dataset. We used Atlas Florae Europaeae (ca 20% of European plant species mapped within 50 × 50 km grid cells) and defined for each grid cell several species pools by applying various geographical and environmental filters: geographic species pool (number of species within 500 km radius), biogeographic species pool (additionally incorporating species distribution patterns, i.e. dispersion fields), site-specific species pool (additionally integrating environmental preferences of species based on species co-occurrence). We integrated dark diversity and observed diversity at a relative scale to calculate the completeness of site diversity: logistic expression of observed and dark diversity. We tested whether our results are robust against regional variation in data availability. We used independent regional databases to test if Atlas Florae Europaeae is a representative subset of total species richness. Environmental filtering was the most influential determinant of species pool size with more species filtered out in southern Europe. Both observed and dark diversity adhered to the well-known latitudinal gradient, but completeness of site diversity varied throughout Europe with no latitudinal trend. Dark diversity patterns were fairly insensitive to variations in regional sampling intensity. Atlas Florae Europaeae represented well the total variation in plant diversity. In summary, dark diversity and completeness of site diversity add valuable information to broad-scale diversity patterns since observed diversity is expressed at a relative scale.
In‐Situ recovery of ethanol from fermentation broth by hydrophobic adsorbents

The in-situ recovery of ethanol from fermentation by different hydrophobic adsorbents has been studied. Liquid phase experiments have demonstrated that pentasil zeolites have a high selectivity for ethanol in the low concentration range. It is shown that the contact of the fermentation broth with the zeolite NaZSM-5 avoids the product inhibition. On the other hand, the ethanol production rate dramatically changes in dependence on the glucose-to-adsorbent ratio.
A Safe and Selective Draw-String Trap to Capture Kangaroos Moving Under Fences.

Macropods have been captured by a variety of techniques: hand nets, trap yards, baited traps, cannon nets, drugged baits, syringe darts and stunning. These techniques differ in selectivity, in the likelihood of physical trauma or capture myopathy, and in the number of personnel required. Each technique is also limited to particular habitats or environmental conditions. A new draw-string trap was developed to capture kangaroos moving under fences, using a tunnel of soft netting attached to a steel weldmesh floor and suspended from a weldmesh frame. Draw-string closures at each end of the netting allowed selective and safe capture of kangaroos by two operators.
Cooperation in public goods games predicts behaviour in incentive-matched binary dilemmas

We report the results of an experiment in which subjects completed second mover public goods game tasks and second mover binary social dilemma tasks. Each task was completed under three different incentive structures which were matched across tasks. The use of nonlinear incentive structures, along with a novel categorization method, allowed us to identify behavioral subtypes that cannot be distinguished using conventional linear incentive structures. We also examined how well behavior could be predicted across tasks. Subjects’ average conditional cooperation levels showed significant cross-task predictability and stability. However, almost a third of responses (28%) demonstrated unambiguous preference reversals across tasks. We argue that prosociality is best described as an individual-level trait, similar to risk aversion in choice under risk. ( JEL C7, C91, H41)
Hydrophobic supplements in cell‐free systems: Designing artificial environments for membrane proteins

Membrane proteins (MPs) are of central interest for the pharmaceutical industry but their production is usually a challenging task. The complex folding mechanisms of newly synthesized MPs often require interactions with specific compounds for improved stability. Conditions for the production of high‐quality samples are therefore difficult to predict and frequently cannot be provided in conventional protein expression platforms. Cell‐free (CF) biosynthetic systems allow, in contrast to living cells, nonrestricted access to the protein production machinery. Reaction conditions can be adjusted according to particular requirements and modified by supplementing single additives or even cocktails of compounds. These options have initiated completely new research fields for the cotranslational stabilization and folding of MPs in artificial environments. Based on established and efficient CF production protocols, a recent focus was to explore and define suitable supplements for CF expression reactions that are useful for the generation of high‐quality MP samples. Besides classical detergents and lipids, a variety of new compounds with interesting properties have been discovered and synthesized. We compile the currently available toolbox for MP solubilization in CF systems and summarize new developments and perspectives for the directed modulation of CF biosynthetic environments.
Desiccation resistance of bacteria isolated from an air‐handling system biofilm determined using a simple quantitative membrane filter method

Twelve strains of bacteria recovered from a biofilm growing on cooling coil fins in an air‐handling system, representing recognized members of the coil fin biofilm community, were assessed for their desiccation resistance. A quantitative membrane filter method was used to assess desiccation resistance over a 24 h period. The method proved to be a reliable and inexpensive means of quantitatively assessing desiccation resistance in bacterial isolates. Five pink‐pigmented budding rod (PPBR) isolates, related to Methylobacterium, were resistant to desiccation over the test period (47–100% of original viable cfu were recoverable on R3A agar after 24 h desiccation). Methylobacterium‐like PPBRs represented the dominant culturable members of the coil fin biofilm community. An unidentified Gram‐negative filamentous rod was also somewhat desiccation‐resistant (45% of original viable cfu were recoverable on R3A agar after 24 h desiccation). The remaining six strains tested, three Gram‐negative isolates and three Gram‐positive isolates, were sensitive to desiccation with only 0–11% of the original viable cfu being recoverable on R3A agar after 24 h desiccation. Since the coil fin biofilm is subjected to extended periods of desiccation, the results suggest that desiccation resistance is at least partly responsible for the dominance of the coil fin biofilm community by the Methylobacterium‐like PPBR.
Follicle Detection in Ultrasound Images using Adaptive Clustering Algorithms and Empirical Mode Decomposition

Ultrasound Imaging is one of the techniques used to study inside human body with images generated using high frequency sounds waves. The applications of ultrasound images include examination of human body parts such as Kidney, Liver, Heart and Ovaries. This paper mainly concentrates on ultrasound images of ovaries.Monitoring of follicle is important in human reproduction. This paper presents a method for follicle detection in ultrasound image of ovaries using Adaptive data clustering algorithms. The main requirements for any clustering algorithm are to initialize the value of K, i.e. the number of clusters. Estimating this K value is difficult task for given data. This paper presents adaptive data clustering algorithm which generates accurate segmentation results with simple operation and avoids the interactive input K (number of clusters) value for segmentation. The results represent adaptive data clustering algorithms are better than normal algorithms for clustering in ultrasound image segmentation. After segmentation, using the region properties of the image, the follicles in the ovary image are identified. The proposed algorithm is tested on sample ultrasound images of ovaries for identification of follicles and with the region properties, the ovaries are classified into categories, normal, cystic and polycystic ovary with its geometric properties.
The Limits to Xylem Embolism Recovery in Pinus sylvestris L.

In this study we test the hypothesis that, when water supply is under tension, reversal of cavitation can occur as long continuity is maintained in the vicinity of tracheids. The experiments were conducted on young branches. 7-8 mm diameter, of Pinus sylvestris L. , freshly collected and allowed to lose water on the bench after being debarked. During dehydration, the volumetric fractions of water (V w ) and gas (V g ) changed steadily as relative water content (θ) declined
Data mining techniques for data streams mining

In resent years data stream mining plays an important role in real-time applications that generate gigantic of data needed intelligent data processing and on-line data analysis . The source of high-speed data streams may include video surveillance systems, stock markets, internet traffic, tweets etc. Traditional data mining techniques can’t feasible for the data stream mining due to unique characteristics of data streams such as high dimensional, continuous flow, high-speed and fast changing. It necessitates building new data mining techniques or modifying existing ones to mine data streams. The main challenges include that the data stream mining needs to handle data distribution and concept drifting. This paper analyzes the challenges involved in designing data mining techniques for mining data streams besides evaluating various existing techniques and their preprocessing methods. The evaluation results reveal which methods are feasible and which methods are not feasible in real-time data streaming applications.
Phenolic content of Sicilian virgin olive oils and their effect on MG-63 human osteoblastic cell proliferation

The aim of this study was, first, to investigate the influence of olive variety and elevation of orchards on the phenolic compound content of Sicilian virgin olive oils (VOOs) and, second, to investigate the effects of VOO phenolic extracts on osteoblast cell growth using the human MG-63 osteosarcoma cell line. Olive oil phenolic content and its effect on human osteosarcoma cell proliferation varied according to the type of cultivar and the grove altitude. This variation was also observed within the same type of cultivar. This observation demonstrates that the cultivar and the grove location can significantly affect the chemical composition and bioactivity of virgin olive oil. Although this study supports the hypothesis that virgin olive oil phenolic fractions exert a beneficial effect on bone health, further studies assessing the in vivo accessibility of virgin olive oil phenolic compounds to osteoblast cells should be carried out.
The phylogenetic relationships of Triturus italicus

Abstract Several studies attempted to reconstruct the phylogenetic relationships among the species of Tritums by a number of data sets from morphology, courtship behaviour, reproductive interactions, cytogenetics and molecules. The present paper critically reviews those studies with regard to the phylogenetic affinities of T. italicus (Peracca, 1898). Most studies locate T. italicus within the radiation of the small‐sized newts (subgenus Palaeotriton), but are in conflict about its sister‐group, whether T. vulgaris or T. boscai. Recent studies on mtDNA sequences suggest that Triturus is paraphyletic and several other genera should be included within the genus, with T. italicus being an outgroup of all the other species and genera. It is concluded that, at present, little can be stated about the relationship of T. italicus and that new data should be collected.
Remote sensing-informed variable-rate nitrogen management of wheat and corn : Agronomic and groundwater outcomes

In-season, site-specific, variable-rate (SS) N management based on remote sensing (RS) may reduce N losses to groundwater while maintaining or increasing yield and N fertilizer-use efficiency. We compared in-season, RS-informed N management applied on a uniform, field-average (FA) or SS basis with the current uniform best management practice (BMP) based on "Realistic Yield Expectations" (RYE) in a typical 2-yr southeastern U.S. coastal plain rotation: winter wheat (Triticum aestivum L.)-double-crop soybean [Glycine max (L.) Merr. ]-com (Zea mays L.). Compared with the RYE-based BMP, RS-informed SS management achieved: (i) a maximum of 2.3 mg L -1 less groundwater NO 3 -N after 2001 wheat due to 39 kg ha -1 less fertilizer N and a 25% greater harvest N ratio (N in grain or forage/total N applied); (ii) 370 kg ha -1 more 2002 corn grain with 32 kg ha -1 greater N applied, similar harvest N ratio, and 37 kg ha -1 greater surplus N; (iii) 670 kg ha -1 more 2003 wheat grain associated with 14 kg ha -1 greater fertilizer N, 27% greater harvest N ratio, and 9 kg ha -1 less surplus N. Excepting one corn FA treatment that received excessive N, RS-informed management produced equal or greater economic returns to N than RYE, and less surplus N for wheat. Treatments produced enduring effects on groundwater [NO 3 -N] consistent with agronomic results, but small relative to temporal [NO 3 -N] fluctuations that were positively correlated with water table elevation. To assess N management in leaching-prone soils, frequent, periodic groundwater monitoring during and after the cropping season appears essential.
‘WEBSITE MATERIAL’ Measuring and diagnosing neglect: a standardized statistical procedure

Abbreviations: MPH, Mean Position of Hits; MPO, Mean Position of Omissions; MPT, Mean Position of Targets; MOH, Mean Ordinal position of Hits; MdnPH, Median Position of Hits; MPP, Mean Position of Positions; LCR-adjusted, Left-Centre-Right-adjusted; C-adjusted, Centre-adjusted (or centred); CoC, Centre of Cancellation; SD, expected Standard Deviation of MPH (unless otherwise stated); BF, Bayes Factor; H, number of Hits; T, number of targets; G, number of target clusters; CTL, Central Theorem of Limits; l, location parameter; s, slope parameter; c, ceiling parameter; FA, False Alarm (on catch trials); CR, Correct Rejections (on catch trials); SPS, Spatial Processing Stages; EP, Extra Processing stages (different from SPS).
Expression and activity of a Kip-related protein, Zeama;KRP1, during maize germination

Abstract Plant KRP proteins are cyclin/cyclin-dependent kinase subunit (Cdk) inhibitors that share a limited homology with mammalian p27Kip1 proteins. Several KRPs have been reported in maize (Zea mays L.), of which Zeama;KRP1 was studied during maize germination. Expression of the Zeama;KRP1 gene did not vary during the 24 h germination period. A homologous antibody raised against the 13 kDa carboxy end of the Zeama;KRP1 polypeptide, a sequence containing the cyclin/Cdk inhibitory domain, indicated the existence of a 22 kDa protein in maize embryonic axes, the amount of which also remained unchanged during germination. Neither abscisic acid nor cytokinins modified the amount of protein. The purified Zeama;KRP1 polypeptide inhibited the kinase activity associated with Zeama;PCNA and Zeama;CycD2;1, and also the kinase activity in p13Suc1-pulled-down complexes. However, there were differences in the inhibition pattern during germination. Whereas kinase activity in proliferating cell nuclear antigen (PCNA) or CycD2;1 immunoprecipitates was strongly inhibited mainly during early germination, that in p13Suc1-pulled-down complexes was mainly inhibited at late times, suggesting that each protein complex is composed of different cyclins and/or Cdks.