Miracle-dz/UniFAR-FTUs huggingface dataset:
Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

Lamb waves have been widely studied in structural integrity evaluation during the past decades with their low-attenuation and multi-defects sensitive nature. The performance of the evaluation has close relationship with the vibration property and the frequency of Lamb waves signals. Influenced by the nature of Lamb waves and the environment, the received signals may be difficult to interpret that limits the performance of the detection. So pure Lamb waves mode emitting and high-resolution signals acquisition play important roles in Lamb waves structural integrity evaluation. In this chapter, the basic theory of Lamb waves nature and some environment factors that should be considered in structural integrity evaluation are introduced. Three kinds of typical transduces used for specific Lamb waves mode emitting and sensing are briefly introduced. Then the development of techniques to improve the interpretability of signals are discussed, including the wave- form modulation techniques, multi-scale analysis techniques and the temperature effect compensation techniques are summarized. compensation through analysis the temperature effect on the structures and the transducers that is time consuming for field application.
Improved determination of daytime net ecosystem exchange of carbon dioxide at croplands

Abstract. The eddy-covariance technique is applied worldwide to acquire information about carbon exchange between a variety of ecosystems and atmosphere, but the data acquisition only covers, on average, two-thirds of the whole year due to system failures and data rejection. Therefore, data must be corrected and data gaps must be filled to provide seasonal or annual budgets. The gap-filing strategies, however, are still under discussion within the research community. Presently the major gap-filling methods work quite well for long-time running sites over slow-developing biosphere surfaces such as long-living evergreen forests, but difficulties appear for short-living and fast-growing croplands. In this study we developed a new Multi-Step Error Filter procedure to gain good-quality data as input for different parameterizations of the light response function of plants for two cropland sites (rice and potatoes), and we could prove that the conventional temperature binning approach is inadequate. The presented time-window scheme showed best results with a four-day time window for the potato field and an eight-day time window for the rice field. The influence of vapor pressure deficit was tested as well, but in our case it plays a minor role at both the potato and the rice fields with the exception of the early growing stage of the potatoes. Completing our research, we suggest an innovative method by introducing a Leaf Area Index factor to capture the seasonal vegetation development. With this method we are now able to fill the large gaps between observation periods when conventional methods are invalid.
Carcass characteristics, fatty acids, stearoyl-coa desaturase gene expression and sensory evaluation of calf-fed and yearling-fed angus steers

Carcass Characteristics, Fatty Acids, Stearoyl-CoA Desaturase Gene Expression and Sensory Evaluation of Calf-fed and Yearling-fed Angus Steers. (December 2007) Matthew Alan Brooks, B.S., Cornell University Chair of Advisory Committee: Dr. Stephen B. Smith There is a growing interest in documenting the effect of diet on the ability to convert saturated fatty acids (SFA) to monounsaturated fatty acids (MUFA) by modulating expression of the SCD gene. We propose that if cattle were raised to a constant body weight, their MUFA:SFA ratio will be the same regardless of being calf-fed (CF) or yearling-fed (YF). Twenty-four Angus cattle were acquired for this study. Cattle were slaughtered at weaning at 8 mo of age (SFCF, n=4), eight steers were assigned to the CF group and slaughtered at 12 mo of age (MFCF, n=4) and 16 mo of age (LFCF, n=4). Twelve cattle were assigned to the YF group and slaughtered at 12 mo of age (SFYF, n=4) 16 mo of age (MFYF, n=4) and market weight of 525 kg (LFYF, n=4). Cattle were then statistically analyzed based on time on high energy diet. Fatty acids from digesta, plasma, liver, L. dorsi, and s.c. and i.m. adipose tissue were all analyzed by FAME. In s.c. 18:1 and 16:1 were greatest in LFCF (41.27% and 5.58%, respectively, P = 0.05), and 18:0 and 16:0 did not differ between groups (P > 0.10). MUFA:SFA ratios of s.c. tended to be higher in LFCF animals (1.26) vs. LFYF (1.06, P = 0.10). However, there was no difference seen when comparing CF to YF animals (P = 0.26). MUFA:SFA ratio was higher in i.m. (P = 0.03) and also increased with age (P < .01). A trained sensory
Cardinality constraints for pseudocompact and for totally dense subgroups of compact topological groups.

2.2. COROLLARY. Let K be a compact topological group with w(K) = a > ω. Then (a) K contains a dense, countably compact subgroup G such that \G\ = (log(α)); and (b)m(lθ ω. From the Hewitt-Marczewski-Pondiczery theorem (cf. [18] (2.3.15)) there is a dense subset D of {0, l} such that |Z>| | = 2. For every space X in which each point is a G8 and 2 < \X\ < 2 ω we have \X\ = 2 and P(X) » A so that P(JT) * P ( ( * T ) P ( ( P ( J T ) Π « P{D). A topological space ^ is said to be a Baire space if the countable intersection of dense, open subsets of X is dense in X. 2.4. LEMMA, (a) If X is a compact (Hausdorff) space, then PX is a Baire space. (b) A G8-dense subspace of a Baire space is a Baire space. Proof, (a) The set 3S of compact Gδ-sets of X is a base for the topology of PX. Let B e SS and let {Un: n < ω} be a sequence of dense, open subsets of PX with Un 3 Un+V We show (Γ\ Un) n B Φ 0. Choose x 0 e ί Π ί / 0 and then Bo e ^ such that x0 e 5 0 c 5 Π ί/0 and recursively, if xk and 5 Λ have been defined, choose xk+ι^ BkΠ Uk+ι and then Bk+1 e ^ so that xA:+1 e ^A:+i c ^ n ^4+i' s i n c ^ each Bk is X-compact we have 0 * Πrt 5M c (ΠM C/J Π 5, as required. (b) Let Y be Gδ-dense in the Baire space X, let U be a non-empty open subset of F and let Un be dense and open in Y. There are open sets U9 Un in X such that i7 = U Π y and Un = ί/Λ Π y. Since X is Baire and Un is dense in X we have (Γ)nUn) n U Φ 0, and since Yis Gδ-dense in X we then have
HRJUDSK \ ORVW DQG IRXQG LQ HFRQRPLFV "

One could reflect hours or even days on the title of this lecture proposed by the organiser: Did geography at any time play a major role in economic theory, at least in mainstream theory? If not, what than actually got lost, and when? Furthermore: has modern economic theory really found geography? Can we detect important geographical aspects in most recent economic mainstream theory? And what is “geography”? I will not investigate into this latter question and will leave this tricky problem to geographers. As an economist I will deal with geography as the location and distribution of economic activity across space from an economists’ point of view. I will investigate into the geographical aspects in the economic literature and completely ignore the economic aspects in the geographical literature. I will argue that geographical factors – at least in my definition – dominated economic development before economic theory existed as a science. At the time when economics arose as a science in the work of the great classic economists’, that is in the late 18 th century, the industrial revolution had produced a bipolar world – Britain and the Rest of the World –, depleted of any geographical aspects. This reality was modelled in contemporary classical theory; it dominated the dominating Anglo-American economic theory up to the eighties of our century at least, at a time when the real world had changed and differed drastically from the models’ world. In the middle of the 19 th century German economic policy had attacked the classic’s models bipolar view of life – in reality and – consequently – in economic theory. International success of this alternative theory, however, failed to appear for more than a hundred years at least. Since than, however, several factors brought geographical determinants back into world-wide reality: The specialisation of industries within countries due to higher knowledge intensity, European integration, the loss of dominance first of Britain, than of the United States, as well as policy efforts to ward off suspected negative effects of globalisation. In the 1980’s economic theory followed suit – slowly. I will first sketch the varying importance of geographical factors for economic development and propose an answer to the question, why economic theory has not found geography in mainstream theory for more almost two centuries. In the second part I will try to investigate, to which extent modern economic theory has already found geographical aspects.
Identifying Delinquency-Prone Children

Results obtained from use of predictive tables developed by Sheldon and Eleanor Glueck support the accuracy of predictions made with the original five-factor scale approximately ten years ago in the District of Columbia. A study of the use of several of the Gluecks' modified scales found that a three-factor table which rates the children as having a high, low, or even probability of becoming delinquent proved most accurate. Sub sequently a further scale focused upon the ambiguous even- chance group to discriminate more clearly between those chil dren who are likely to become delinquents and those who are not.
Cerebral vessels segmentation for light-sheet microscopy image using convolutional neural networks

Cerebral vessel segmentation is an important step in image analysis for brain function and brain disease studies. To extract all the cerebrovascular patterns, including arteries and capillaries, some filter-based methods are used to segment vessels. However, the design of accurate and robust vessel segmentation algorithms is still challenging, due to the variety and complexity of images, especially in cerebral blood vessel segmentation. In this work, we addressed a problem of automatic and robust segmentation of cerebral micro-vessels structures in cerebrovascular images acquired by light-sheet microscope for mouse. To segment micro-vessels in large-scale image data, we proposed a convolutional neural networks (CNNs) architecture trained by 1.58 million pixels with manual label. Three convolutional layers and one fully connected layer were used in the CNNs model. We extracted a patch of size 32x32 pixels in each acquired brain vessel image as training data set to feed into CNNs for classification. This network was trained to output the probability that the center pixel of input patch belongs to vessel structures. To build the CNNs architecture, a series of mouse brain vascular images acquired from a commercial light sheet fluorescence microscopy (LSFM) system were used for training the model. The experimental results demonstrated that our approach is a promising method for effectively segmenting micro-vessels structures in cerebrovascular images with vessel-dense, nonuniform gray-level and long-scale contrast regions.
The Emotional Effects of Life Experience on Bilingual Speakers' Nonverbal Communications

The Emotional Effects of Life Experience on Bilingual Speakers’ Nonverbal Communications Sarah Marie Webb School of Communications, BYU Master of Arts This research is intended to demonstrate that bilingual speakers exhibit nonverbal behavior and emotional expressions that affect their ability to communicate in their intended manner. I argue that these changes are linked to the emotional ties to experiences in those languages. The nonverbal traits that appear when bilingual speakers share personal narratives in different languages are measured through facial recognition and emotion sensory software for evidentiary support in establishing intent versus actual self-presentation. New methods of selfanalysis are discussed and utilized to determine if the speakers are inherently aware of these changes or can notice them through cross linguistic self-analyses.
Acoustoelectric Effect in Hydrogen Surface Acoustic Wave Sensors with Phthalocyanine-Palladium Sensing Bi-layers

Hydrogen has a role as an important chemical commodity that will continue to increase with the developments of the hydrogen economy. With a lower explosive limit of 4.73% by volume fast and accurate sensors are needed. Our recent work has shown that bilayers of phthalocyanine-palladium structures can be optimized to construct effective SAW sensors for hydrogen. In a bilayer sensing film structure, we can use the much stronger acoustoelectric effect in the SAW sensor response as the main detection mechanism more effectively than with a single sensing layer. This effect can be many times greater than the mass effect which can be dominant in nonconductive polymer films and simple metal and dielectric films typically employed in SAW gas sensors. The “work point” of such a structure must be shifted to the high sensitivity region, where small variations in conductivity (under the influence of gas molecules) cause remarkable changes in the wave velocity (see Figure 1). Thus, to take full advantage of the high sensitivity offered by the SAW sensor, the conductivity of sensing film must be tailored to a particular range.
Environmental Contaminants in Foodstuffs

Consumers have specific concerns about food contaminants but often lack the means to make appropriate judgements on what is high risk and what is not. Contaminants in foods can be grouped according to their origin and nature. Environmental contaminants of food-safety concern includes toxic metals and elements, organometallic compounds, agricultural chemicals and persistent organic pollutants such as halogenated hydrocarbon pesticides, polychlorinated biphenyls, dioxins, polycyclic aromatic hydrocarbons, phthalates, nirates, nitrites. These contaminants may present a potential hazard for human health if exposure exceeds tolerable levels. This article shows the characteristics and the dietary intake of these elements and compounds. Further works need to concentrate on mechanism of different contaminants toxicity and metabolism, reevaluation of acceptable limits, and their control in foods and in the environment.
Human capital theory: implications for human resource development

This article reviews definitions of 'Human Capital Theory' by leading economists and HRD scholars. The origin of the term 'capital' is explained, and the link between Human Capital Theory and HRD is discussed. It is argued in the article that HRD scholars and practitioners should explore further the link between human capital, HRD and development at individual, organizational, community and international levels.
Kelvin waves in stratospheric temperature observed by the Microwave Limb Sounder

[1] The three-dimensional (3-D) structure of stratospheric Kelvin waves is revealed using data from the Microwave Limb Sounder for the period July 1992 to April 1993. Four Kelvin wave modes are identified, two for zonal wave number 1 (k = 1) and two for k = 2, using extended empirical orthogonal functions. The 3-D structures of the modes agree with linear theory and satisfy the dispersion relation for Kelvin waves, and with periods ranging from 4.5 to 10 days the modes mostly fall near the boundary between “fast” and “slow” Kelvin waves [Canziani et al., 1998]. The analysis also identifies a feature that may correspond with the “pancake structures” associated with inertial instability.
RISK OF CANCER DUE TO ELECTROMAGNETIC FIELD EXPOSURE: A REVIEW

ABSTRACT Background: Electromagnetic field (EMF) spectrum ranges from extremely low frequency electromagnetic field (ELF-EMF) to ultra-high frequency EMF . Increasing use of wireless telecommunication may pose a risk of cancer development due to prolonged EMF exposure. Due to inconclusive evidence from literature, a scoping systematic review was done to determine evidences to support EMF as a determinant of cancer, as well as the type of EMF is implicated in cancer and the type of cancer involved in association with EMF. Materials and Methods: Full-text articles on Cohort studies and/or randomized controlled trials published from 1 st January 2010 to 8 th June 2016 were searched using Proquest and other sources. People of all age group and EMF were the type of participant and exposure used for the search strategy, respectively. Data collection was done by 1 reviewer and checked by 2 reviewers for discrepancies. All the papers were critically appraised using the STROBE statement. Qualitative synthesis was done by descriptive comparison, risk of bias comparison and effect of exposure comparison. Result: 5 out of 29 articles met the eligibility criteria and were selected. Three articles showed low risk of bias due to low confounding bias. Another two articles had unclear risk of bias due to either information bias or using secondary data of uncertain quality. There were 2 high quality, 1 moderate quality and 2 low quality evidences using GRADE. Children under the age of 16 years with medium to ultra-high EMF exposure levels had approximately 0.7 times the rate of all cancer incidence compared to those with low exposure levels. Incidence rate of follicular lymphoma in males who were exposed to ELF-EMF was 300% higher at any given time point studied than the rate in those who were unexposed. Conclusion: Exposure to medium to ultra-high EMF wavelength lowers the rate of progression of cancer development, due to shorter duration of exposure. Cancer development is only shown to be related to EMF exposure from ELF-EMF but not for shorter-wavelength EMFs, and this is due to longer exposure duration. Due to small number of studies obtained from this scoping systematic review, results from this review should be interpreted with caution. Keywords: Electromagnetic field, cancer, cohort studies, medium to ultra-high EMF, ELF-EMF
Manning Roughness Coefficient Study on Bed Materials Non-Cohesive with Parameters Using Entropy to Open Channel Flow

Application of entropy in open channel models presenting relevant aspects of theoretical issues and practical useful for cross-sectional velocity distribution. The ratio between the average velocity and the maximum depends on the local morphology. Recent research has suggested formulation Manning roughness, n, based on the ratio and the ratio between the position where the velocity is zero and the maximum, y0/ymax, the flow depth of the flow regime. Based on the experience of stable flow, analysis entropy dependence on n parameters, and M for flow depth, proposes an equation y0/ymax to know the bed channel roughness coefficient. The results showed a good linear relationship between estimate n and n entropy calculation and n with the bedform. Obtained from linear regression analysis of the data relationships flume ncalculate= 0,5803netropi + 0,010 with good correlation (R2 = 0.864) using the entropy parameter i†(M) = 0.8197, while for the data in a natural channel ncalculate = 0.754 netropy+ 0.006 with good correlation (R2 = 0.877) with i†(M) = 0.914. It also has a fault tolerance (0.005 to 0.293)%, which is still below the tolerance.
ANTIFUNGAL ACTIVITY OF INDIGENOUS Bacillus spp. ISOLATED FROM SOIL

Biocontrol using plant growth-promoting rhizobacteria (PGPR) represents an alternative approach to disease management, since PGPR are known to promote growth and reduce diseases in various crops. Among the different PGPR, members of the genus Bacillus are prefered for most biotechnological uses due to their capability to form extremely resistant spores and produce a wide variety of metabolites with antimicrobial activity. The objective of this research was to identify antagonistic bacteria for management of the plant diseases. Eleven isolates of Bacillus spp. were obtained from the soil samples collected from different localities in the Province of Vojvodina. The antifungal activity of bacterial isolates against five fungal species was examined using a dual plate assay. Bacillus isolates exhibited the highest antifungal activity against Fusarium proliferatum, Fusarium oxysporum f. sp. cepae and Alternaria padwickii, while they had the least antagonistic effect on Fusarium verticillioides and Fusarium graminearum. Molecular identification showed that effective bacterial isolates were identified as Bacillus safensis (B2), Bacillus pumilus (B3, B11), Bacillus subtilis (B5, B7) and Bacillus megaterium (B8, B9). The highest antagonistic activity was exhibited by isolates B5 (from 39% to 62% reduction in fungal growth) and B7 (from 40% to 71% reduction in fungal growth). These isolates of B. subtilis could be used as potential biocontrol agents of plant diseases.
Spatial Model of Forest Management Strategies and Outcomes in the Wildland–Urban Interface

In fire-prone areas of the western United States, mechanical thinning is often seen as a way to achieve two outcomes: Wildfire mitigation and restoration of historical forest structure. In this study, a spatial modeling approach is used to (1) find which forests are likely to be thinned under different criteria; (2) for these forests, evaluate whether wildfire mitigation and restoration of historical forest structure are potentially needed; and (3) determine whether these results change under alternative assumptions related to weather and fire history. Effectively, the spatial models in this study allow us to “test” thinning criteria to see if they lead to the selection of land where the stated management goals are needed in the study area of the montane zone of Boulder County, Colo. The spatial modeling results indicate that common management practices—such as thinning dense stands on Forest Service land near communities—may be inappropriate if the desired outcome is both wildfire mitigation and restorat.
Data Preprocessing Based on Partially Supervised Learning

Data preprocessing is the foundation to improve the quality of data mining and determines the effect of Web mining. Currently, data for mining is typically collected from the server, but data set from the client is more accurate. In order to better deal with these data, we propose a data preprocessing method based on partially supervised learning. The paper discusses in detail data cleaning process based on partially supervised learning, and conducts experiments to verify the validity of the method employed, and ultimately determines the optimal number of training documents.
Binary-induced magnetic activity? - Time-series echelle spectroscopy and photometry of HD 123351 = CZ CVn

Context. Multi-wavelength time-series observations with high cadence and long duration are needed to resolve and understand the many variations of magnetically active late-type stars, which is an approach often used to observe the Sun. Aims. We present a first and detailed study of the bright and active K 0IV-III star HD 123351. Methods. We acquired a total of 955 high-resolution STELLA echelle spectra during the years 2006‐2010 and a total of 2,260 photometric V IC data points during 1998‐2010. These data are complemented by some spectra from CFHT and KPNO. Results. The star is found to be a single-lined spectroscopic binary with a period of 147.8919±0.0003 days and a large eccentricity of e=0.8086±0.0001. The rms of the orbital solution is just 47 m s −1 , making it the most precise orbit ever obtained for an active binary system. The rotation period is constrained from long-term photometry to be 58.32±0.01 days. It shows that HD 123351 is a very asynchronous rotator, rotating five times slower than the expected pseudo-synchronous value. Two spotted regions persisted