Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Sociomaterial Practices in Becoming and Staying Innovative: The AI Lab Case

This paper explores how innovators discursively establish and justify a new technology concept to establish it as a convention. We employ a discourse analytical approach that builds on a longitudinal ethnographic study to investigate the recurrent use of rhetorical arguments. Our findings suggest that the emergence of a new dominant technology concept goes hand in hand with the marginalization of the existing one(s). The newly established convention is rooted within different layers of inscriptions and its development over time shows that different techniques of rhetoric reasoning and the assignment of rhetorical agency nurture its kernel.
Optimum combination of pond volume and outlet capacity of a stormwater detention pond using particle swarm optimization

Detention ponds are best management practices designed for the treatment and control of urban stormwater. Their design objectives are mainly to control the quantity and quality of urban stormwater at the minimum cost. However, tradeoff exists between these objectives and this call for optimization. Long term hourly rainfall data were analyzed and the rainfall characteristics were obtained. Analytical Probabilistic Models (APM) were employed and the model parameters were derived from the closest stations to the study areas. The APM parameters, along with catchment parameters, were used to develop optimal combination of pond volume and outflow that yield the minimum cost using the APM and Particle Swarm Optimization (PSO). Comparison of the PSO with APM shows that the PSO result is more accurate as it does not need discretization of outlet size. The PSO model was also found to be more robust, computationally cheaper and faster to implement.
Standardized Design Technique of PPS-based 90° Linear Polarization Converters by means of Coupler Theory

A standardized design method of Planar Periodic Structure (PPS)-based 90° Linear Polarization converters is presented. This procedure enables standardized designs centered at an arbitrary frequency in either reflection or transmission at normal incidence, which may be achieved with no computational cost and can be used to obtain suitable designs at oblique incidence. It uses both Foster’s equivalent circuits and the classic coupler synthesis, which allow the number of layers, the values of the lumped elements, and the lengths and impedances of the spacers needed to fulfill any prescribed requirements in terms of XP, insertion losses and bandwidth to be known. The selection of the PPS scatterer that provides the appropriate values of the circuit elements is also studied. Several designs are presented to validate the proposed method, one of which converts a vertical polarization into the horizontal in transmission, exhibiting simulated results of XP < -30 dB, insertion losses better than 0.1 dB and bandwidth that improves other rotators in the state of the art for the same number of layers. The designed device has been manufactured and experimentally tested, and the results validate the methodology.
Road Freight Transport Forecasting: A Fuzzy Monte-Carlo Simulation-Based Model Selection Approach

: As important as the classical approaches such as Akaike ꞌ s AIC information and Bayesian BIC criterion in model-selection mechanism are, they have limitations. As an alternative, a novel modeling design encompasses a two-stage approach that integrates Fuzzy logic and Monte Carlo simulations (MCSs). In the first stage, an entire family of ARIMA model candidates with the corresponding information-based, residual-based, and statistical criteria is identified. In the second stage, the Mamdani fuzzy model (MFM) is used to uncover interrelationships hidden among previously obtained models criteria. To access the best forecasting model, the MCSs are also used for different settings of weights loaded on the fuzzy rules. The obtained model is developed to predict the road freight transport in Slovenia in the context of choosing the most appropriate electronic toll system. Results show that the mechanism works well when searching for the best model that provides a well-fit to the real data.
Time-resolved smoothness of distributed brain activity tracks conscious states and unifies emergent neural phenomena

Much of systems neuroscience posits that emergent neural phenomena underpin important aspects of brain function. Studies in the field variously emphasize the importance of distinct emergent phenomena, including weakly stable dynamics, arrhythmic 1/f activity, long-range temporal correlations, and scale-free avalanche statistics. Few studies, however, have sought to reconcile these often abstract phenomena with interpretable properties of neural activity. Here, we developed a method to efficiently and unbiasedly generate model data constrained by interpretable empirical features in long neurophysiological recordings. We used this method to ground several major emergent neural phenomena to time-resolved smoothness, the correlation of distributed brain activity between adjacent timepoints. We first found that in electrocorticography recordings, time-resolved smoothness closely tracked transitions between conscious and anesthetized states. We then showed that a minimal model constrained by time-resolved smoothness, variance, and mean, captured dynamical and statistical emergent neural phenomena across modalities and species. Our results thus decouple major emergent neural phenomena from network mechanisms of brain function, and instead couple these phenomena to spatially nonspecific, time-resolved changes of brain activity. These results anchor several theoretical frameworks to a single interpretable property of the neurophysiological signal and, in this way, ultimately help bridge abstract theories of brain function with observed properties of brain activity.
Impedances of Offset Parallel-Coupled Strip Transmission Lines

An offset parallel-coupled strip configuration is described, in which the mechanical parameters are strip width, strip offset, and ratio of strip spacing to ground-plane spacing. The electrical parameters are dielectric constant, characteristic impedance, even and odd mode impedance. The configuration is analyzed by conformal rnapping techniques. Explicit design equations are derived in which the mechanical parameters are expressed in terms of the electrical parameters. Illustrative results are presented, and the limitations on coupling strength, characteristic impedance, and strip configuration are discussed.
Preamplifier ASK system performance with incomplete ASK modulation: influence of ASE and laser phase noise

Present extensions of the rigorous model of Jacobsen and Garrett and of the Gaussian approximation of Tonguz and Kazovsky for the performance of optically amplified direct detection ASK receivers. These new models take into account incomplete ASK modulation, nonzero laser linewidth, and spontaneous emission noise from the optical amplifier in both polarization control (PC) and polarization diversity (PD) receiver configurations. The penalty associated with the polarization diversity configuration is shown to be consistently under 1 dB for a wide range of ASK modulation depths. The penalty due to the noise in the orthogonal polarization decreases with ASK modulation depth. We find optimum optical filter bandwidths and linewidth-induced performance penalties as a function of ASK modulation depth and linewidth. We provide detailed tables of optimum filter bandwidths for bath PC and PD receivers using both the rigorous method and the Gaussian approximation; the Gaussian approximation frequently underestimates the optimum bandwidth values. A linewidth-induced floor in the minimum usable ASK modulation depth is found for nonzero linewidth and a fixed optical filter bandwidth. Though the Gaussian approximation is found to be accurate within 1.5 dB in all computed cases for optimum optical filter bandwidths, it does not predict the floor accurately in the case of a nonoptimum filter bandwidth. >
Total Operating Activities of Gas Turbine Components — Total Equivalent Operating Hours (TEOH)

Timely inspection and maintenance are essential requirements in maintaining the high Reliability, Availability and Maintainability (RAM) of gas turbine units. The timing of inspections is determined by using the concept of the amount of accumulated operating activities of units between the inspection intervals. In tradition, operating hours and number of startups are used to measure these activities. Indeed, they are two major factors of the activities.Gas turbines in general run in various duties, environments and operation modes. Under these conditions, it is important to have a well-defined tool and correctly quantified total operating activities of components to plan for timely inspection and refurbishment.In this paper, the single parameter of Total Equivalent Operating Hours (TEOH) is proposed to be used as a tool to serve the purpose. In developing the TEOH, the linear fraction rule of damage, a theory of interaction fraction rule of damage, a theory of interaction between the creep and fatigue damages is applied to find the equivalent operating hours from the number of startups.Copyright © 1999 by ASME
STABCC: a new 3D surface topography algorithm based on contourlet transform and correlation theory

In machining and testing fields, 3-D surface topography evaluation is always one of the hottest study issues. Especially, in advanced integrate circuit and nanometer manufacture techniques where surface spraying and thin film plating are commonly applied for, anisotropy behavior in surface topography is rather obvious and existent 3-D surface topography evaluation is not enough in expressive force. Based on the discussing about that the advantages and disadvantages of all existent filtering methods. The contourlet Transform (CT) which may provide tight bracing and mutliscale analysis was introduced. And a new 3-D surface topography evaluation filtering algorithm is presented. This algorithm has some excellent performances such as multiscale analysis, time-frequency-localization and multidirections. Especially, the algorithm is good at describing high dimensions data. Meanwhile, on the assumption that noise comply with Gaussian distributing, according to the theory that noise is not correlated with signal, STABCC that depress noise was designed. The surface topography of a part was measured with WIVES. The data of measurement was processed by STABCC. Experiment result indicates that STABCC can reliably obtain benchmark of evaluation. And the surface information of measured part can be extracted and analyzed without distortion. Comparing with existent 3-D surface topography evaluation methods, STABCC is preponderant in practicality of engineering surface evaluation.
Network-guided supervised learning on gene expression using a graph convolutional neural network

Background Transcriptomic profiles have become crucial information in understanding diseases and improving treatments. While dysregulated gene sets are identified via pathway analysis, various machine learning models have been proposed for predicting phenotypes such as disease type and drug response based on gene expression patterns. However, these models still lack interpretability, as well as the ability to integrate prior knowledge from a protein-protein interaction network. Results We propose Grandline, a graph convolutional neural network that can integrate gene expression data and structure of the protein interaction network to predict a specific phenotype. Transforming the interaction network into a spectral domain enables convolution of neighbouring genes and pinpointing high-impact subnetworks, which allow better interpretability of deep learning models. Grandline achieves high phenotype prediction accuracy (67-85% in 8 use cases), comparable to state-of-the-art machine learning models while requiring a smaller number of parameters, allowing it to learn complex but interpretable gene expression patterns from biological datasets. Conclusion To improve the interpretability of phenotype prediction based on gene expression patterns, we developed Grandline using graph convolutional neural network technique to integrate protein interaction information. We focus on improving the ability to learn nonlinear relationships between gene expression patterns and a given phenotype and incorporation of prior knowledge, which are the main challenges of machine learning models for biological datasets. The graph convolution allows us to aggregate information from relevant genes and reduces the number of trainable parameters, facilitating model training for a small-sized biological dataset.
Physical model for enhanced interface-trap formation at low dose rates

We describe a model for enhanced interface-trap formation at low dose rates due to space-charge effects in the base oxides of bipolar devices. The use of analytical models allows one to reduce significantly the number of free parameters of the theory and to elucidate the main physical mechanisms that are responsible for interface-trap and oxide-trap formation processes. We found that the hole trapping in the oxide cannot be responsible for all the enhanced low-dose-rate sensitivity (ELDRS) effects in SiO/sub 2/, and the contribution of protons is also essential. The dynamics of interface-trap formation are defined by the relation between the proton mobility (transport time of the protons across the oxide) and the time required for positive-charge buildup near the interface due to trapped holes. The analytically estimated and numerically calculated interface-trap densities were found to be in very good agreement with available experimental data.
Electrical system design of a solar electric vehicle

This paper presents the results of a team approach to the design and construction of an electrical system for a solar electric vehicle. The design proceeds from the selection of solar cells to the brushless DC motor inverter fed electric drive with solar tracking and optimal battery storage. The vehicle design is being implemented for construction in the 1997 Sunrayce.
TOP-2 is differentially required for the proper maintenance of cohesin on meiotic chromosomes in C. elegans spermatogenesis and oogenesis

During meiotic prophase I, accurate segregation of homologous chromosomes requires the establishment of a chromosomes with a meiosis-specific architecture. Sister chromatid cohesins and the enzyme Topoisomerase II are important components of meiotic chromosome axes, but the relationship of these proteins in the context of meiotic chromosome segregation is poorly defined. Here, we analyzed the role of Topoisomerase II (TOP-2) in the timely release of sister chromatid cohesins during spermatogenesis and oogenesis of Caenorhabditis elegans. We show that there is a different requirement for TOP-2 in meiosis of spermatogenesis and oogenesis. The loss-of-function mutation top-2(it7) results in premature REC-8 removal in spermatogenesis, but not oogenesis. This is due to a failure to maintain the HORMA- domain proteins HTP-1 and HTP-2 (HTP-1/2) on chromosome axes at diakinesis and mislocalization of the downstream components that control sister chromatid cohesion release including Aurora B kinase. In oogenesis, top-2(it7) causes a delay in the localization of Aurora B to oocyte chromosomes but can be rescued through premature activation of the maturation promoting factor via knock-down of the inhibitor kinase WEE-1.3. The delay in Aurora B localization is associated with an increase in the length of diakinesis chromosomes and wee-1.3 RNAi mediated rescue of Auorora B localization in top-2(it7) is associated with a decrease in chromosome length. Our results imply that the sex-specific effects of Topoisomerase II on sister chromatid cohesion release are due to differences in the temporal regulation of meiosis and chromosome structure in late prophase I in spermatogenesis and oogenesis.
Multiple-driven-rod earth connection

The earthing system of a substation or power station usually includes a number of driven rods arranged around the periphery. It is necessary to estimate the total resistance of this set of rods and this presents certain difficulties. It is only possible to make approximate estimates of this value, and general formulas are developed to enable this to be done. The assumptions, on which these formulas are based, are discussed. Examples are given of the application of these formulas to specific sizes of rod.
Pengembangan Media Pembelajaran Kotak Komponen Ekosistem (KOKOSIS) untuk Sekolah Dasar

Tujuan penelitian pengembangan ini adalah (1) mengetahui pengembangan media pembelajaran KOKOSIS (Kotak Komponen Ekosistem) pada tema 8 subtema 1 kelas V di UPTD SDN Panyaksagan Klampis, (2) mengetahui kevalidan, keefektifan, dan kemenarikan media pembelajaran KOKOSIS (Kotak Komponen Ekosistem) pada tema 8 subtema 1 kelas V di UPTD SDN Panyaksagan Klampis. Penelitian pengembangan ini menggunakan model pengembangan Borg and Gall. Berdasarkan hasil penelitian yang dilakukan, diperoleh hasil bahwa persentase kevalidan rata-rata media pembelajaran KOKOSIS sebesar 89% dalam kategori sangat valid. Keefektifan media pembelajaran KOKOSIS diukur dari observasi guru sebesar 100% dalam kategori sangat aktif, observasi aktivitas siswa sebesar 98% dalam kategori sangat aktif dan persentase ketuntasan klasikal sebesar 91% dalam kategori tuntas sehingga dapat disimpulkan media pembelajaran KOKOSIS sangat efektif digunakan pada pembelajaran. Kemenarikan diukur dari persentase hasil angket respon siswa sebesar 97% dengan kategori sangat menarik. Berdasarkan hasil penelitian maka media pembelajaran KOKOSIS valid, efektif dan menarik digunakan pada Tema 8 Subtema 1 materi komponen ekosistem kelas V UPTD SDN Panyaksagan Klampis.
Fabrication and characterization of a thermo-mechanically tunable grating-assisted suspended waveguide filter

A silicon-on-insulator (SOI) rib waveguide integrated with a Bragg grating and nickel chromium heating elements has been fabricated. The heaters enable tuning of the Bragg wavelength through a thermo-optic effect. As the temperature is increased, the Bragg wavelength also increases due to the increasing silicon refractive index and effective mode index of the guide. The device is designed so that an additional processing step can remove the buried oxide beneath the grating to form a suspended waveguide. This structure would further decrease the power input required to tune the filter, and would allow the waveguide to buckle at a critical temperature. In this work the un-released structure is fabricated and mounted in a standard dual in-line pin (DIP) package to allow optical and electrical characterization. Test results demonstrating thermo-optic tuning show a 1 nm shift in Bragg wavelength with a power input of 58 mW.
MicroRNA-21a-5p regulates TGF-?1-induced myofibroblast transformation of rabbit keratocytes by targeting Smad7

The transforming growth factor β1 (TGF-β1)-induced transformation of keratocytes to myofibroblasts is a very common process during corneal wound healing, but a dysregulated TGF-β1 activity may induce unfavorable fibrosis and scar formation in the cornea. MicroRNA (miR)-21a-5p and Smad7 have been reported to play an important role in the fibrosis process. However, how miR-21a-5p involves in the TGF-β1-induced myofibroblasts transformation of keratocytes remains unclear. In the present study, we found an increase in the expressions of α-SMA and collagen I at protein level as well as Smad7 and miR-21a-5p at mRNA level when keratocytes were treated with TGF-β1Here; but the Smad7 at protein level kept unchanged. The overexpression of miR-21a-5p attenuated Smad7 protein expression, and miR-21a-5p inhibition promoted Smad7 protein expression without affecting its mRNA expression. Furthermore, inhibition of miR-21a-5p could decrease TGF-β1-inducedα-SMA expression, whereas the addition of Smad7 knockdown would rescue the expression of α-SMA. These results suggested that miR-21a-5p had a promoting effect on TGF-β1induced myofibroblast transformation of keratocytes by targeting Smad7 at its translation stage.
Reconfigurable-bandwidth bandpass filter within 10-50%

An original and simple approach to design electronically reconfigurable-bandwidth microwave planar bandpass filters is reported. It exploits the use of transversal signal-interference filtering sections shaped by a branch-line directional coupler arranged in reflection mode with switchable stubs. Thus, by switching on/off these stubs through p–i–n diodes, sharp-rejection filtering functions with different bandwidths and multiple out-of-band transmission zeros are produced. Analytical equations and guidelines for the synthesis of the basic switchable filter building block are detailed. Moreover, a 2 GHz two-stage proof-of-concept microstrip prototype, with five distinct bandwidth states ranging from ∼10 to 50%, is built and characterised for experimental verification.
Stress-Strain Model of High-Strength Concrete Confined by Rectangular Ties

This paper presents a concentric loading test of square reinforced concrete columns confined by rectangular ties. Test variables include concrete compressive strength (45 to 130 MPa), tie yield strength (320 to 1300 MPa), and tie volumetric ratio (0.32 to 1.92%). It was confirmed that transverse reinforcement does not yield in columns using high-strength concrete or tie. A method to compute the stress in the transverse reinforcement at maximum concrete strength and a new stress-strain model for confined concrete are proposed. Over a wide range of confinement parameters, the model shows good correlation with stress-strain relationships established experimentally.
Testing authenticity of certified paddy seed with user friendly Morpho-molecular tool- kit

In the present investigation, twenty nine rice cultivars were characterized using grain morphological characters and molecular markers to develop a morphomolecular tool kit for application in authenticity testing of the certified seed lot and in maintenance breeding. The study suggested that identification of rice varieties is possible with grain morphology and molecular markers. Using grain morphological characters, seven varieties were uniquely identified viz., Prafulla, Numali, Dikhow, Dhanashree, Basundhara, Jalkuwari and Bhugali. Molecular fingerprints were generated based on SSR polymorphism. Using the present set of SSR markers, eight rice varieties viz., Gitesh, Jalashree, Ranjit, Jaymati, Bhugali, Ranjit sub-1, Numali, and Piyali, were distinguished with RM 12, RM 25, RM 190, RM 307 and RM 287on the basis of the unique banding pattern. In the phylogenetic relationship based on grain morphology, Dikhow was identified as an outlier, which is unique for the grain length, whereas based on SSR data, variety Praffulla was identified as an outlier with unique medium grain width.
The École Centrale de Lyon surface force apparatus: An application overview

Abstract The ECL (École Centrale de Lyon) surface force apparatus (SFA) has been developed and refined over the last two decades. This paper reviews a number of applications of the SFA that are of interest to the tribologist. In order to predict and improve contact performance, the tribologist needs to understand and quantify the basic properties of the lubricant and the solid bodies it is separating. Previously, these important properties were the material bulk properties, or at least these properties were sufficient. This situation is no longer true, and the material properties of the solids and the lubricant are required on a scale which is small or comparable with the film thickness. Nowadays, that means a scale small or comparable with 10−7−10−8 m! It is in this domain that the SFA can provide information on mechanical properties of very thin lubricant films, and on the properties of the solid material close to its surface.