Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling of Cognitive Agents

Agent-based Modeling (ABM), a novel computational modeling paradigm, is the modeling of phenomena as dynamical systems of interacting agents. Here, we apply this methodology for designing cognitive agents that are allowed to perform categorization process of input training items. The internal agent structure, as in presented previously brainstorming algorithm, and it is equipped with the set of basic machine learning, or clustering algorithms, which allow it for constructing prototypes of categories. Agent links prototypical categories with the subsets of training objects (so called prototypes for a category) during the simulation time. The equilibration process is described here using the mean-field theory, and fully connected cellular automata network of different categories. The individual outcomes of clustering, or machine learning algorithms are combined in order to determine the most effective partitioning of a given training data into the set of distinct categories. The dynamics of cellular automata network simulates the higher level of information integration acquired from repetitive learning trials. The final categorization of training objects is therefore consistent with equilibrium state of the complex system of linked and interacting machine learning methods, each representing different category. The proposed cognitive agent is the first autonomous cognitive system that is able to build the classification system for given perceptual information using ensemble of machine learning algorithms.
Impact of Tidal Phase on Inundation and Thrust Force Due to Storm Surge

Impact of storm surge largely varies depending on the tidal phase during the landfall of a tropical cyclone. This study investigates comparative variance in inundation condition and thrust force for an identical cyclone during low tide and high tide by applying a numerical model (Delft3D) and a semi-analytical model (DFM). A moderate strength cyclone, Mora, which made landfall on Bangladesh coast in May 2017 is selected to study its impact on land during low tide and high tide. Actual landfall time of Mora was during low tide. To study the impact of storm surge during high tide, a synthetic cyclone is created which has similar strength and track to that of Mora but makes landfall during high tide. The results show that inundation depth, inundation extent, and thrust force increase when a cyclone makes landfall during high tide compared to the condition when the cyclone makes landfall during low tide. But the relation between storm surge impact and tidal phase is not linear. It depends on the land topography of the location, direction of cyclone movement, direction and magnitude of water velocity and wind velocity, gradients of water surface and wind velocity, and proximity and position of the location with respect to cyclone track.
Bismuth Doped PbO 2 Coatings: Morphology and Electrocatalytic Properties

Modified PbO2 anodes doped with bismuth were prepared by means of electrodeposition in methanesulfonate solutions. The influence of bismuth ions on morphological and electrocatalytic properties of obtained coatings was studied. Both XRD patterns and SEM micrographs demonstrated that incorporation of bismuth diminishes the size of crystal particles. It is shown, that oxygen overpotential on micromodified electrodes is sensibly higher than on non-modified PbO2-electrode. According to obtained results a hypothesis of a mechanism which include transfer of an increased number oxygen radical intermediates to Bi(III) to produce a sensible amount of Bi(IV) and Bi(V) that can participate in the O2 evolution process was proposed.
Study on the Anti-hypertension mechanism of Prunella Vulgaris based on entity grammar systems

Literatures and experimental studies have shown that Prunella has an effect on anti-hypertension, however, its components are complicated, so that it is still difficult to clear the specific roles of its various components in blood pressure regulation in. So we decide to systematically study the anti-hypertension mechanism of Prunella. We integrated multiple databases and constructed molecular interaction network between the chemical constituents of Prunella Vulgaris and hypertension based on entity grammar systems model. The network has 262 nodes and 802 edges. Then we infer the interactions between chemical compositions and disease targets to clarify the anti-hypertension mechanism. Finally, we found Prunella could influence hypertension by regulating apoptosis, cell proliferation, blood vessel development and vasoconstriction, etc. Thus this study provides reference for drug development and compatibility, and also gives guidance for health care at a certain extent.
Role of Transrectal ultrasonography and per rectal examination in the evaluation of prostatic disease: A comparative study

The present prospective study was carried out at a hospital attached to the Navodaya Medical College, Raichur, Karnataka. A total 50 cases of clinically suspected and digital rectal examination suggestive of prostatic diseases were scanned by transrectal ultrasound using endorectal probe of frequency 6.5MHZ attached to ultrasound machine. The confirmation of transrectal ultrasound findings were done by histopathological examination of prostatic biopsy or whole mount section of the surgical specimen obtained after radical prostatectomy or transurethral resection of prostate. We can conclude from the study results that, transrectal ultrasound examination is more accurate in identifying adjacent organ invasion in prostatic malignancies and doesn’t require fully distended bladder as compared to transabdominal ultrasound examination and the transrectal ultrasound procedure is well tolerated by most of the patients and also the procedure is more cost effective compared to other investigations like computed tomography and magnetic resonance imaging.
Automatic Discovery of Design Task Structure Using Deep Belief Nets

With the arrival of cyber physical world and an extensive support of advanced IT infrastructure, nowadays it is possible to obtain the footprints of design activities through emails, design journals, change logs, and different forms of social data. In order to manage a more effective design process, it is essential to learn from the past and understand, for example, what design tasks are actually carried out, their interactions and how they impact each other. In this paper, a computational approach based on deep belief nets (DBN) is proposed to automatically uncover design tasks and quantify their interactions. A DBN topic modeling with real-valued units is to learn a set of intrinsic topic features from a simple word-frequency based input representation. Evaluated using a design email archive spanning for more than two years, the proposed approach has achieved a much higher accuracy in identifying design tasks compared to a prevailing approach
Galaxy Groups at Intermediate Redshift

Galaxy groups likely to be virialized are identified within the CNOC2 intermediate-redshift galaxy survey. The resulting groups have a median velocity dispersion, σ1 ≃ 200 km s-1. The virial mass-to-light ratios, using k-corrected and evolution-compensated luminosities, have medians in the range of 150-250 h M☉/L☉, depending on group definition details. The number-velocity dispersion relation at σ1 ≳ 200 km s-1 is in agreement with the low-mass extrapolation of the cluster-normalized Press-Schechter model. Lower velocity dispersion groups are deficient relative to the Press-Schechter model. The two-point group-group autocorrelation function has r0 = 6.8 ± 0.3 h-1 Mpc, which is much larger than the correlations of individual galaxies, but about as expected from biased clustering. The mean number density of galaxies around group centers falls nearly as a power law with r-2.5 and has no well-defined core. The projected velocity dispersion of galaxies around group centers is either flat or slowly rising outward. The combination of a steeper than isothermal density profile and the outward rising velocity dispersion implies that the mass-to-light ratio of groups rises with radius if the velocity ellipsoid is isotropic but could be nearly constant if the galaxy orbits are nearly circular. Such strong tangential anisotropy is not supported by other evidence. Although the implication of a rising M/L must be viewed with caution, it could naturally arise through dynamical friction acting on the galaxies in a background of "classical" collisionless dark matter.
Modeling analysis of the effect of iron enrichment on dimethyl sulfide dynamics in the NE Pacific (SERIES experiment)

The large-scale iron enrichment conducted in the NE Pacific during the Subarctic Ecosystem Response to Iron Enrichment Study (SERIES) triggered a phytoplankton bloom dominated successively by nanophytoplankton and large diatoms. During the first 14 days, surface dimethyl sulfide (DMS) levels increased both inside (up to 22 nmol L-1) and outside (up to 19 nmol L-1) the patch, with no consistent Fe effect. Later, DMS concentrations became sixfold lower inside the patch than outside. In this study, we used a DMS budget module embedded in a one-dimensional ocean turbulence model to investigate the contribution of the interacting physical, photochemical, and biological processes to this particular DMS response. Temporal variations in biological net DMS production were reconstructed using an inverse modeling approach. Our results show that short-term (days) variations in both the physical processes (i.e., turbulent mixing and ventilation) and the biological cycling of DMS are needed to explain the time evolution of DMS concentrations both outside and inside the Fe-enriched patch. The biological net DMS production was generally high (up to 0.35 nmol L-1 h-1) and comparable outside and inside the patch during the first 10 days, corresponding to the observed accumulation of DMS inside and outside the patch. Later, it became negative (net DMS biological consumption) inside the patch, suggesting a change in dimethylsulfoniopropionate bacterial metabolism. This study stresses the importance of short-term variations in biological processes and their sensitivity to the physical environment in shaping the DMS response to iron enrichment.
Rules for Adaptive Learning and Assistance on the Shop Floor.

Today’s shop floor, the area of a factory where operatives assemble products, is a complex and demanding work environment. The employed and produced technology becomes ever more complex, and employees are responsible for an increasing amount of tasks. As a consequence, the employee is under constant pressure to solve problems occurring on the shop floor as fast as possible, and simultaneously to improve his work-related knowledge, skills, and capabilities. This paper gives an account how adaptive technology can support the employee on the shop floor in these respects. It describes the organizational requirements to take into consideration and describes a set of rules that support the employee in problem solving and knowledge acquisition.
ENHANCING THE NONLINEAR OPTICAL PROPERTIES OF ORGANIC DYE BY USING NANOPARTICLE COMPOUNDS

Nonlinear optical properties of Rhodamine 6G dye doped epoxy resin with Al2O3 nanoparticle at different concentration were studied by using EZ-scan technique to evaluate the nonlinear parameters such as nonlinear absorption coefficient (β), nonlinear index of refraction (n2) and the third order optical nonlinearity. The samples with the nanoparticle exhibit negative sign of the nonlinear refractive index n2 indicates that the samples exhibit self-defocusing optical nonlinearity. The samples with nanoparticle showed reverse saturation absorption (RSA) in open EZ-scan. The nonlinear refractive index n2, the nonlinear absorption coefficient β and the third-order optical susceptibility χ values are of the order of 10 cm/W, (1-4) cm/W and 10 V/m respectively.
Real Exchange Rate and Macroeconomic Performance: Testing for the Balassa-Samuelson Hypothesis in Nigeria

The study examine whether a link exists between the Naira real exchange rate and macroeconomic performance and test for the existence of ‘Balassa-Samuelson’ (1964) hypothesis in Nigeria. Using data covereing 1970 to 2009, the Parsimonious ECM result shows that the one period lag value of technological productivity has a negative sign and is statistically significant. This suggests the existence of the Balassa-Samuelson hypothesis in Nigeria. The Johansen Cointegration Test suggests a long run relationship among technological productivity, foreign private investment, the ratio of government expenditure to GDP and the real effective exchange rate. It is thus recommended that the government and policy makers should continue to employ policies that could increase productivity in all sectors of the economy to enhance exchange value of the Naira
A new classification of head injury based on computerized tomography

✓ A new classification of head injury based primarily on information gleaned from the initial computerized tomography (CT) scan is described. It utilizes the status of the mesencephalic cisterns, the degree of midline shift in millimeters, and the presence or absence of one or more surgical masses. The term “diffuse head injury” is divided into four subgroups, defined as follows: Diffuse Injury I includes all diffuse head injuries where there is no visible pathology; Diffuse Injury II includes all diffuse injuries in which the cisterns are present, the midline shift is less than 5 mm, and/or there is no high- or mixed-density lesion of more than 25 cc; Diffuse Injury III includes diffuse injuries with swelling where the cisterns are compressed or absent and the midline shift is 0 to 5 mm with no high- or mixed-density lesion of more than 25 cc; and Diffuse Injury IV includes diffuse injuries with a midline shift of more than 5 mm and with no high- or mixed-density lesion of more than 25 cc. There is a dir.
The Impact of Textual Enhancement vs. Oral Enhancement on Learning English Language Grammar

Among features of second language learning, grammar has been given a prominent role. Learning grammar is important and it can affect other aspects of language learning. Learning grammar cannot occur without noticing for EFL learners. Learners should become aware of the rules and internalize those rules. Also, learning grammar should happen in a meaningful context. There are two techniques which may provide the desired conditions. Those two techniques are Textual Enhancement and Oral Enhancement. The purpose of this study was to compare the results of applying these two techniques. As the study followed a non-probability sampling, 92 students were considered as the research subjects. After administering a test of homogeneity, the number reduced to 70. There were two experimental groups in the study. Participants in one group were exposed to textual enhancement, and the participants in another were exposed to oral enhancement. There was a test which became standardized through piloting. And it was administrated to the two groups. Detailed statistical analyses were conducted to analyze the obtained data. The results indicated that there was a statistical significant difference between the oral and textual enhancement groups (t = -6.81, p < 0.05) regarding their performance on grammar achievement test. In other words, subjects in oral enhancement group outperformed the subjects in textual enhancement group.
SysML Executable Model of an Energy-Efficient House and Trade-Off Analysis

With the growing complexity of energy efficient buildings, the methods of modeling and simulating such structures must account for monitoring several thousand design parameters across multiple diverse domains. As a result, modeling tools are now very specific to their respective domains and are growing more and more incongruous with each other. This calls for a way to integrate multiple modeling tools in the effort to create a single, large model capable of encapsulating data from multiple, different models. Thus, in this paper, different methods to perform an integration with Systems Modeling Language (SysML) and a simulation tool were identified, described and evaluated. Then, a new method was developed and discussed. Finally, the new method was demonstrated by developing a SysML executable model of a simple two-room house. Using the Functional Mock-up Interface (FMI) standard, the SysML model is integrated with a Modelica model, and a simulation is run in Simulink. Finally, a tradeoff analysis was performed for the purpose of design space exploration.
Contribution à la modélisation de l’intégration lean green appliquée au management des déchets pour une performance équilibrée (économique, environnementale, sociale)

Depuis les annees 80, les entreprises des pays developpes sont confrontees a une concurrence de plus en plus aceree. Dans ce contexte, l'adoption du Management Lean s'est generalisee. Il vise a accelerer les flux, a reduire les non valeurs ajoutees, dans le cadre d'un processus d'amelioration continue. Par ailleurs, depuis les annees 90, le developpement durable suscite un interet croissant. La responsabilite societale des entreprises (RSE) est la contribution des entreprises aux enjeux du developpement durable. La demarche consiste pour les entreprises a prendre en compte les impacts sociaux et environnementaux de leur activite pour adopter les meilleures pratiques possibles et contribuer ainsi a l'amelioration de la societe et a la protection de l'environnement. Cette etude positionne l'integration Lean Green au service d'une strategie de Responsabilite Societale de l'Entreprise (RSE). Un premier modele strategique Lean Green donne un cadre structure pour des developpements scientifiques cibles, priorisant telle ou telle performance. Une segmentation selon la performance majeure impactee (economique, sociale) au-dela de la performance environnementale et le perimetre (interne / externe a l'entreprise), est proposee. Quatre strategies se degagent alors : l'eco-efficience, l'eco-responsabilisation, l'eco-partenariat, l'eco-solidarite. Chaque strategie repond a des parties prenantes specifiques de l'entreprise. Pour l'eco-efficience, une etude quantitative (plan d'experience) hierarchise les facteurs impactant la minimisation des dechets en Production et montre l'interet d'associer les 2 methodes : les « 7 muda » du Lean et la hierarchie 3R (Reduire, Reutiliser, Recycler) du Green. L'exploitation d'une « matrice Lean 3R » est meme souhaitable. Pour l'eco-responsabilisation, un modele de Management Visuel de l'Eco-Performance (MVEP), evalue qualitativement (recherche-intervention) ameliore un indice de motivation. Il est revele que l'integration d'une dimension ecologique dans l'animation d'une performance economique, est favorable a son amelioration.
What Determines the Domestic Bias and Foreign Bias? Evidence from Mutual Fund Equity Allocations Worldwide

We examine how mutual funds from 26 developed and developing countries allocate their investment between domestic and foreign equity markets and what factors determine their asset allocations worldwide. We find robust evidence that these funds, in aggregate, allocate a disproportionately larger fraction of investment to domestic stocks. Results indicate that the stock market development and familiarity variables have significant, but asymmetric, effects on the domestic bias (domestic investors overweighting the local markets) and foreign bias (foreign investors under or overweighting the overseas markets), and that economic development, capital controls, and withholding tax variables have significant effects only on the foreign bias.
AOM Online Papers Submission # 15398

This paper examines how the knowledge base of a firm affects the generation of combinatorial innovations. Recent insights in the literature on organizational learning suggest that the degree of integration among bodies of specialized technological knowledge affects the outcomes of the innovation process. However, the literature is still in its infancy in terms of the relationship between the structure of the knowledge base and the degree of technological complexity of innovations. The present study aims at understanding this relationship. We take as our empirical case hydrocracking, a rather mature technology widely applied in the oil industry. Innovations in hydrocracking are based on the combination of elementary technologies relative to three technology areas: feeds and products, catalyst preparation, and refinery processing. Using detailed patent information, we find that a specialized knowledge base enables the generation of innovations characterized by both high and low levels of complexity – i.e. encompassing both few and many multiple technological domains, while related knowledge matters only for low-complexity innovations.
Traditional Knowledge of the Bowhead Whale ( Balaena mysticetus ) around St. Lawrence Island, Alaska

Despite considerable research on the bowhead whale (Balaena mysticetus) in Alaskan waters, relatively little has been conducted in the northern Bering Sea. To help fill this gap, we documented traditional knowledge of bowhead whales held by Yupik whalers of St. Lawrence Island, Alaska. Results include descriptions of the seasonal movements, distribution, and abundance of bowheads near St. Lawrence Island. The bowhead population appears to be increasing, as is the number of young whales seen. Changing environmental conditions are influencing distribution, leading to a somewhat earlier spring migration and a greater presence of whales near the island in winter. Hunters describe two bowhead migration paths near the island. It is unknown whether these two paths are used by two genetically different groups of whales, or whether the animals are simply responding differently to oceanographic conditions or geography. Our findings are consistent with studies of this bowhead population conducted elsewhere and suggest that additional research is needed to determine possible migratory (or genetic) differences between the two migrations of whales seen at St. Lawrence Island.
Re-Envisioning Community-Wildfire Relations in the U.S. West as Adaptive Governance

Prompted by a series of increasingly destructive, expensive, and highly visible wildfire crises in human communities across the globe, a robust body of scholarship has emerged to theorize, conceptualize, and measure community-level resilience to wildfires. To date, however, insufficient consideration has been given to wildfire resilience as a process of adaptive governance mediated by institutions at multiple scales. Here we explore the possibilities for addressing this gap through an analysis of wildfire resilience among wildland-urban interface communities in the western region of the United States. We re-engage important but overlooked components of social-ecological system resilience by situating rural communities within their stateto national-level institutional contexts; we then analyze two communities in Nevada and New Mexico in terms of their institutional settings and responses to recent wildfire events. We frame our analysis around the concepts of scale matching, linking within and across scales, and institutional flexibility.