Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibiogram Pattern of Bacterial Isolates Identified from Bovine Clinical Mastitis

A total of 65 milk samples from bovine clinical mastitis were collected from villages of Sabarkantha Milk Union and were subjected to bacterial isolation and identification. Out of 74 recovered isolates, Str. agalactiae was the most frequent, followed by E. coli and Str. dysgalactiae. The in-vitro antibiogram revealed that most isolates were sensitive to ceftriaxone/tazobactam, followed by gentamicin, tetracycline and cefoperazone/sulbactam. Ampicillin/cloxacillin combination was found least effective.
Language Gene Basis for Precision Personalized Education and Liberal Education (I)

How individual biological phenotypes are encoded by genome sequences will be elucidated more and more in the post-genomic era, and it is possible to establish personalized accurate education approaches based on personal gene information, including language genes. Especially, the relationship between language abilities and language genes is to be decoded inevitably. In this article, how language abilities are affected by biological functions of six genes (FOXP1, FOXP2, CNTNAP2, CCDC136/FLNC, RBFOX2 and TM4SF20) is illustrated. These genes and their other interacting ones will form a specific gene-network to determine the dimensions of a person's language abilities. It is worthy starting to think of how the natural differences in language genes among people can be utilized to design personalized education approaches and liberal education strategy through interdisciplinary studies among linguistics, biology and other disciplines.
Wideband generalized admittance matrix representation for the analysis and design of waveguide filters with coaxial excitation

A very efficient technique for the full‐wave analysis and design of complex passive waveguide filters, including rectangular cavities with metallic cylindrical posts and coaxial excitation, is presented. This novel technique provides the wideband generalized admittance matrix representation of the whole structure in the form of pole expansions, thus extracting the most expensive computations from the frequency loop. For this purpose, the structure is properly segmented into its key building blocks, all of them characterized in terms of wideband admittance matrices. Then, an efficient iterative algorithm for combining these matrices, and finally providing the wideband generalized admittance matrix of the complete structure, is followed. In order to validate the accuracy and efficiency of this full‐wave modal technique, four different waveguide filters have been considered. In particular, the design of a compact four‐pole in‐line filter with tuning screws and of an evanescent‐mode filter, both operating in the X‐band and including a standard (vertical) coaxial excitation, are first presented. Finally, two C‐band six‐resonator comb‐line filters, one of them with a cross‐coupling configuration, and both excited with a collinear end‐launcher transition based on a disc‐ended coaxial, are also designed. Numerical data from a commercial software, as well as measurements of a manufactured prototype, are included for verification purposes.
Technological sources of productivity growth in Japan, the U.S. and Germany

In this paper, we use a dynamic general equilibrium growth model to quantify the contribution of different technological sources to productivity growth in the three leading economies: Germany, Japan, and the U.S. The sources of technology are classified as representing either neutral progress or investment-specific progress. The latter can be split into two different types of equipment: information and communication technologies (ICT) and non-ICT equipment. We find that in the long run, neutral technological change is the main source of productivity growth in Germany. For Japan and the U.S., the main source of productivity growth is investment-specific technological change, mainly associated with ICT. We also find that a non negligible part of productivity growth has been due to technology specific to non-ICT equipment; this is mainly true after 1995.
Detection of S. mutans and S. sobrinus from Dental Plaques Adhered on Zirconia, PFM and Ni-Cr Crown by RT-PCR

: The purposes of this studywas to detect S. mutans and S. sobrinus from Dental Plaques adhered on Zirconia, PFM and Ni-Cr crown by RT-PCR amplification. Supragingival and the subgingival plaque was taken from the crown site of the 118 participants from all the three groups who had crown restoration and were categorized as Group I (Zirconia) (27 cases), Group II(PFM) (49 cases) and Group III(Ni-Cr) (42 case), respectively by using sterile curettes (Gracey Curettes). The PCR amplified products were subjected to electrophoresis in agarose gel and visualized on a UV transilluminator. Patient’s (118) age ranged between 18 to 40 years divided into the three groups who had crown restoration and were categorized as Group I (Zirconia) (27 cases), Group II(PFM) (49 cases) and Group III(Ni-Cr) (42 case), respectively. The S. mutans and S. sobrinuswas found to be present in 60.2% and 44.9 % of cases respectively. In the present study, S. sobrinus alone was present only in 35.6% of cases. A significant finding of the present study was presence of both S. mutans and S. sobrinus in 24.6% of cases and 19.5% were negative for both.Genomic DNA (gDNA) extracted from S. mutans was analyzed on 1% agarose gel electrophoresis and found to be good quality and quantity off or further use. Total gDNA isolated from dental plaque underwent PCR amplification using primer pair specific to 16S rDNA of the genus Streptococci. One percent agarose gel electrophoresis depicts the positive PCR amplification at 712 bp when compared with standard 1kbp. Another PCR reaction was set using gtfB primers specific for S. mutans for functional gene identification. 1.2% agarose gel electrophoresis was done and a positive amplication was observed at 517 bp when compared to 1000 bp standards, depicting the presence of functional genes (gtf) in S. mutans. Among the mutans streptococci group, S. mutans and S. sobrinus are the most frequently isolated species from human dental plaque and are believed to be the major aetiological agents for tooth decay.
The role of weather and migration in assortative pairing within the northern flicker (Colaptes auratus) hybrid zone

Hypothesis: In the absence of active mate choice, differences in migration patterns lead to assortative pairing between two subspecies of flickers. Large-scale variation in weather may affect migration patterns, which, in turn, may affect the availability of phenotypes during pairing. Organism: Hybridizing subspecies of the northern flicker (Colaptes auratus): yellow-shafted (C. a. auratus) and red-shafted flickers (C. a. cafer). Time and place: Between 1998 and 2006 in the hybrid zone at Riske Creek, British Columbia, Canada. Methods: We captured breeding pairs of flickers, scored their phenotypes to calculate several hybrid indices, and correlated these indices between members of a pair. We used the North American band recovery database to plot migratory routes, and we used systematic surveys to document the arrival of phenotypes to the study area after spring migration. We correlated the annual strength of assortative pairing with regional and large-scale (North Atlantic Oscillation Index) weather patterns. Results: There was assortative pairing based on individual plumage traits and an overall hybrid index. The subspecies of flickers wintered on opposite sides of the Rocky Mountain Range; hybrids from Riske Creek wintered west of the Rocky Mountains. There were no differences in spring arrival time or nest initiation date between phenotypes. The North Atlantic Oscillation correlated with the annual average phenotype on the study site and correlated weakly with the annual prevalence of assortative mating. Conclusion: Large-scale weather patterns were associated with the annual prevalence of phenotypes and assortative mating in the northern portion of the hybrid zone, probably as a result of different migration patterns
Dimensional Music Emotion Recognition: Combining Standard and Melodic Audio Features

We propose an approach to the dimensional music emotion recognition (MER) problem, combining both standard and melodic audio features. The dataset proposed by Yang is used, which consists of 189 audio clips. From the audio data, 458 standard features and 98 melodic features were extracted. We experimented with several supervised learning and feature selection strategies to evaluate the proposed approach. Employing only standard audio features, the best attained performance was 63.2% and 35.2% for arousal and valence prediction, respectively (R statistics). Combining standard audio with melodic features, results improved to 67.4 and 40.6%, for arousal and valence, respectively. To the best of our knowledge, these are the best results attained so far with this dataset.
The I4U Submission to the 2012 NIST Speaker Recognition Evaluation

The I4U’s submission to SRE’16 was a result from the collaboration and active exchange of information among researchers across sixteen Institutes and Universities across 4 continents. The submitted results were based on the fusion of multiple classifiers. A lot of efforts have been devoted to two major challenges, namely, test duration variability and dataset shift from Switchboard and Mixer corpora to the new Call My Net dataset.
Growth of bacterioplankton and consumption of dissolved organic carbon in the Sargasso Sea

Lability of the bulk dissolved organic carbon (DOC) pool and the amount available to bacterioplankton on short time scales (hours to days) were examined in oligotrophic Sargasso Sea water (near Bermuda). We examined bacterial growth and DOC utilization using seawater culture methodology in combination with measurements of bacterial abundance, cell volume, and DOC. Bulk DOC concentrations were determined by high temperature combustion (HTC) analysis, which proved to be a sensitive method for detecting small changes in natural concentration of DOC. Measurable bacterial growth and DOC utilization only occurred in unamended cultures when initial DOC concentrations were greater than observed in the mixed layer at the Bermuda Atlantic Time Series station. In unamended cultures exhibiting growth, approximately 6 to 7 % of the bulk pool was available and considered a labile component. This material was utilized with an average bacterial growth efficiency (BGE) of 14 * 6%. Nutrient enrichment experiments were also conducted with NH4, PO,, glucose, dissolved free amino acid (DFAA) and algal lysate additions. In all experiments bacterial growth rates, bacterial carbon production, and BGE increased with the addition of organic carbon supplements. There were no enhancements of bacterial production or DOC utilization above the control when inorganic nutrients were added, indicating that at the time these experiments were conducted bacterial growth was limited by available carbon.
Variable-density flow in porous media

Steady-state distributions of water potential and salt concentration in coastal aquifers are typically modelled by the Henry problem, which consists of a fully coupled system of flow and transport equations. Coupling arises from the dependence of water density on salt concentration. The physical behaviour of the system is fully described by two dimensionless groups: (i) the coupling parameter $\alpha$, which encapsulates the relative importance of buoyancy and viscous forces, and (ii) the Péclet number $\mbox{\textit{Pe}}$, which quantifies the relative importance of purely convective and dispersive transport mechanisms. We provide a systematic analytical analysis of the Henry problem for a full range of the Péclet number. For moderate $\mbox{\textit{Pe}}$, analytical solutions are obtained through perturbation expansions in $\alpha$. This allows us to elucidate the onset of density-driven vertical flux components and the dependence of the local hydraulic head gradients on the coupling parameter. The perturbation solution identifies the regions where salt concentration is most pronounced and relates their spatial extent to the development of a convection cell. Next, we compare our solution to a solution of the pseudo-coupled model, wherein flow and transport are coupled only via the boundary conditions. This enables us to isolate the effects caused by density-dependent processes from those induced by external forcings (boundary conditions). For small $\mbox{\textit{Pe}}$, we develop a perturbation expansion around the exact solution corresponding to $\mbox{\textit{Pe}}\,{=}\,0$, which sheds new light on the interpretation of processes observed in diffusion experiments with variable-density flows in porous media. The limiting case of infinite Péclet numbers is solved exactly for the pseudo-coupled model and compared to numerical simulations of the fully coupled problem for large $\mbox{\textit{Pe}}$. The proposed perturbation approach is applicable to a wide range of variable-density flows in porous media, including seawater intrusion into coastal aquifers and temperature or pressure-driven density flows in deep aquifers.
APC promoter 1 B deletion in familial polyposis – implications for mutation-negative families

Over 1500 adenomatous polyposis coli (APC) gene mutations have already been identified as causative of familial adenomatous polyposis (FAP). However, routine genetic testing fails to detect mutations in about 10% of classic FAP cases. Recently, it has been shown that a proportion of mutation-negative FAP cases bear molecular changes in deep intronic and regulatory sequences. In this study, we used direct sequencing, followed by multiplex ligation-dependent probe amplification (MLPA) of genomic DNA from family members, affected by classic FAP. We first reported the family as mutation negative. With the launch of a new version of MLPA kit, we retested the family and a novel full deletion of promoter 1B was detected. The exact breakpoints of the deletion were determined by array comparative genomic hybridization (CGH) and long range polymerase chain reaction (PCR), followed by direct sequencing. The total APC expression levels were investigated by quantitative polymerase chain reaction (qPCR) assay and allele-specific expression (ASE) analysis. The APC gene expression was highly reduced, which indicates causative relationship. We suggest that there is a significant possibility that APC promoter 1B mutations could be found in mutation-negative FAP patients. In the light of our findings it seems reasonable to consider targeted genetic re-analysis of APC promoter 1B region in a larger cohort of unsolved cases.
Learning histories: spanning the great divide

Purpose – The purpose of this paper is to suggest the use of a new action research methodology, the learning history, to study knowledge transfer initiatives.Design/methodology/approach – An overview of the literature on learning histories is followed by the results of a case study, where a learning history is used to transfer humanistic practices from an American health care model to a Quebec setting.Findings – This study demonstrates how the learning history method can act as a catalyst to accelerate the knowledge transfer process. It has helped researchers and practitioners recognize and address the challenges involved in implementing change and transferring new knowledge in an organization.Research limitations/implications – Although the learning history provides a fresh and effective way to study learning and knowledge concepts, the potential of this new methodology in studying knowledge transfer activities has not been fully explored. The limitations are primarily those associated with the amount of.
Assessment of velocity fields through open-channels: creation of empirical laws

The exploitation of the sewers networks requires now a fine knowledge of conveyed polluting flows. In this context, to know the spatial distribution velocities in the studied section returns the estimate of the flow more realistic. The article defended here presents two mathematical relations making it possible to establish a cartography of the velocity in a cross section, for a full-developed flow. One, resulting from the Navier-Stokes equations, requires the shear velocity and the maximal velocity position, when the other uses empirical parameters resulting from statistics treatment. Both are validated on experimental cases.
A self-energy functional approach for spin systems

We set up a new approach to study the physics of spin systems which uses the resolvent method originally proposed by Keiter and Kuramoto. In analogy to the Baym-Kadanoff formalism the latter introduced the partition sum of a system as a functional of the resolvent of the Hamiltonian and its so called generalized self-energy. This functional is the starting point for a variational cluster method which is based on Potthoffs self-energy functional approach. In a first step we apply our ansatz to a Heisenberg spin chain.
A Bayesian Inventory Model Using Real‐Time Condition Monitoring Information

Lack of coordination between machinery fault diagnosis and inventory management for spare parts can lead to increased inventory costs and disruptions in production activity. We develop a framework for incorporating real‐time condition monitoring information into inventory decisions for spare parts. We consider a manufacturer who periodically replenishes inventory for a machine part that is subject to deterioration. The deterioration is captured via condition monitoring and modeled using a Wiener process. The resulting degradation model is used to derive the life distribution of a functioning part and to estimate the demand distribution for spare parts. This estimation is periodically updated, in a Bayesian manner, as additional information on part deterioration is obtained. We develop an inventory model that incorporates this updated demand distribution and demonstrate that a dynamic base‐stock policy, in which the optimal base‐stock level is a function of some subset of the observed condition monitoring information, is optimal. We propose a myopic critical fractile policy that captures the essence of the optimal policy, but is easier to compute. Computational experiments indicate that this heuristic performs quite well relative to the optimal policy. Adaptive inventory policies such as these can help manufacturers to increase machine availability and reduce inventory costs.
“I wanted to change the system through my research and teaching of future

The author reflects on personal experiences, highlighting vignettes of her perceived “failure to be a ‘real American,’” and recounts these stories through her own voice. With the hopes that her journey might inspire, inflame empathic frustrations with an inegalitarian status quo, and remind others of how important it is for us to participate in fighting for justice, she shares her experiences and developing understandings as she has learned to embrace more counterhegemonic scholarship and practices. She describes how her childhood experiences and daily life experiences as an adult have shaped her work as a researcher and teacher of art education. The author supports these discussions with a review of key concepts from postcolonial theory, new racism, and multicultural education theory, to inform the journey.
Estimation of temporal variations in the magnetic field arising from the motional induction that accompanies seismic waves at a large distance from the epicentre

SUMMARY Temporal variations in the electromagnetic field that accompany earthquakes are generated by various mechanisms, of which this study focuses on variations in the magnetic field arising from motionally induced electric currents that accompany seismic waves at large distances (several hundred kilometres) from the epicentre. A simple situation is considered in which seismic waves are approximated by plane waves and the electrical conductivity of the Earth's crust has a stratified structure. Solutions of Maxwell's equations corresponding to this situation have analytical expressions. Analysis of the solutions verifies that SH waves do not generate variations in the EM field above the ground surface, thereby implying that Rayleigh waves are dominant at a significant distance from earthquake epicentres. Numerical examples demonstrate that the amplitudes of the variations in the magnetic field monotonically increase with increasing conductivity, although attenuation because of the skin effect cannot be ignored. The amplitudes of the generated magnetic field can be sensitive to the conductivity of both the shallow and deep crust. Nevertheless, calculations assuming a simplified conductivity structure provide an upper limit to the possible amplitudes of variations in the magnetic field because of seismic waves. For example, the amplitudes of variations in the magnetic field arising from a Rayleigh wave with displacement amplitude of 10 cm and a period of 30 s are as large as 0.1 nT, close to the limit of detection under typical observation conditions. It is also suggested that phase differences between seismic ground motions and variations in the magnetic field are insignificantly influenced by details of conductivity structures, and they occur within a rather narrow range of values determined by the direction orientation of the ambient geomagnetic field. In the future, if a detection limit of 0.01 nT becomes available, phase difference may be used to distinguish variations arising from the motional induction, from variations arising from other mechanisms.
High-resolution air quality modelling and time scale analysis of ozone and NOx in Osaka

The ozone pollution in the Osaka region is mainly influenced by the long-range transport of tropospheric ozone or its precursors from outside in winter but nearly 50% of the total ozone is chemically produced by regional emissions in summertime. The effects of the regional transport and the chemical production of ozone by regional emissions in summertime can be analysed by spectral decomposition of the time series and studying the inherent intra-day, diurnal and longer-term time scales in the time series of ozone and NOx. The relative contributions of these time scale components associated with different physical processes are also used to evaluate the performance of air quality models in simulating ozone and NOx. We used the Japanese national emission data with resolution of 10-km and 1-km resolution in the MM5-CMAQ modelling system for the nested simulation in Osaka with the finest domain having 1-km grid size. Among the different time scales, diurnal time scale has the highest correlation for ozone, and longer time scale has the highest correlation for NO and NO2. Spatial variation in the simulation of NOx is evident from the study of correlation of diurnal and longer-term time scales, with higher correlations in the longer-term time scale. Overall, the time scale analysis of ozone and NOx time series has proved useful for detailed quantitative analysis of the air quality modelling in Osaka.
On the Role of Pre-Determined Rules for HRM Policies

Using simple game-theoretical models, this paper studies the role of pre-determined rules for HRM policies. We consider a model in which HRM decisions affect employees' self-images and thereby their motivation. We show that in the absence of written rules, managers are too reluctant (1) to differentiate between employees on the basis of their abilities, and (2) to terminate employment of employees on probation. Generally, organizations benefit from committing to strict rules for various HRM practices.