Miracle-dz/UniFAR-FTUs huggingface dataset:
Mixed methods of assessment: measures of enhancing library services in academia

Purpose Collection assessment is an essential aspect of library collection development, especially for public institutions currently affected by financial budget cuts. Collection managers working with little to no budget have the task of establishing unconventional methods of selecting most relevant materials. This paper aims to demonstrate the correlation between a syllabi analysis, faculty survey and circulation statistics as a practical measure to enhance and expand the architecture library services at the City College of New York and in academia in general. Design/methodology/approach This study uses mixed use assessment strategies to evaluate a library collection. The scope of the study supports combining collection-based practices and use-based methods to gather two types of data: quantitative (including collection size and/or in-house use statistics) and qualitative (accomplished by user opinion surveys, focus groups and/or list checking). Findings Out of 74 architecture faculty members, 22 participated in a library survey to help uncover new opportunities for cross-collaboration. The findings simultaneously reinforce the importance of exploring syllabi and usage data as methods of assessment to reveal opportunities for cultivating library collections. Originality/value This paper will provide a better understanding of faculty perceptions to discover academic needs and achieve library integration into the design curriculum. The study demonstrates prospective directions for collection evaluation and faculty collaboration to open further opportunities for building a successful library.
Investigation of Single‐Station Classification for Short Tectonic Tremor in Taiwan

Tectonic tremor in Taiwan is known for its short duration and weak amplitude. Recent observations from the mountain area (Central Range) allows us to document such type of tectonic tremor recorded at a close distance and to investigate a single station technique for a minute‐long tremor. To effectively distinguish tremor from earthquakes and noise, we applied the Fisher's class separability criterion to automatically select the optimal feature subset from a set of commonly adopted feature candidates. During the study period of 1 January to 16 September 2016 when a local seismic array was deployed, we successfully differentiated tremor from local earthquakes and noise with high accuracy of 86.6% to 98.9% from three stations using a k‐nearest neighbors classifier. Other than the maximum amplitude, number of peaks, and energy of the 2‐ to 8‐Hz passband, the spikiness of discrete Fourier transforms median in time is also found to be important to separate tremor from noise.
EVALUATION OF SOME ORGANIC REMEDIES EFFECTS ON SOME SOIL PROPERTIES AND CROP

This work aims to study the effect of contaminated soil remediation on some soil properties. Also a remediation experiment was conducted to show the useful effect of two remedies named Triton x-100 and potassium oleate in decreasing the hydrocarbons (aliphatic and aromatic) and heavy metals contents in crude oil contaminated soil samples. Two soils (sandy and calcareous) were contaminated by 1 , 2 and 3 % V/W of crude oil, then each contamination level was treated by 0 (untreated) , 1 and 3 % of the two used remedies. Pots were seeded with barley seeds, barley plant samples were collected at the end of the experiment. The total concentrations of nitrogen, phosphorus and potassium in plant samples and soil under study were estimated. Also, the concentration of hydrocarbons and heavy metals were measured. It can be deduced from the data obtained from this study that the total contents of nitrogen, phosphorus and potassium were significantly affected by contamination by crude oil. Application of Triton x-100 and potassium oleate decreased to high extents the concentrations of aliphatic and aromatic hydrocarbons as well as the heavy metals. For example, the use of Triton x-100 reduced the concentration of aliphatic hydrocarbons by percents reached to 54 % as compared to the non-remedied samples. On the other hand, the concentration of heavy metals as Nickel also decreased by about 55 %, which confirms the efficiency of the used remedies. Also, application of these remedies had increased the total contents of organic carbon, nitrogen, phosphorus and potassium in the treated samples than those in untreated ones. The application of organic remediation of contaminated soils led to limited increase on EC and pH values this result confirms the importance of these organic remedies to reduce the harmful effects on the properties of remedied soil.
The GeoRSS Model and the Design of a Ranking Algorithm in Semantic Web

E-commerce has become nowadays an influential actor in the international trade industry and has greatly contributed in the economic development of nations. The fact of dealing with this field along with the evolution of technologies renders the e-commerce more usable by internet users. The semantic web offers advanced technical solutions relying on the structuring and organization of the existing data on the web. Throughout this Paper, I will tackle the issue of e-commerce in relation to geolocation, while at the same time offering the internet user more freedom to detect the surface of the geographical area where he/she is located by a proposing a new geographical coordinate classification algorithm.
Development of a New Uniform File Format for Neuroscience Data Across the Globe

With about 10 neurons and about 10 synaptic connections the human brain is among the most complex biologic systems ever observed (Rautenberg, Sobolev et al. 2011). Technical progress is driving the volume of data collection to unknown heights. Unsurprisingly neuroscience is rapidly increasing its already extreme volumes of collected data (Schwarz, Lebedev et al. 2014). At the same time the discipline is lagging behind with tools and concepts needed to fully exploit the information contained in the overwhelming amount of data. Scientific progress depends more and more on collaboration, which in turn requires data sharing (Teeters, Godfrey et al., 2015). Neurophysiologic experiments are complex and diverse and the data are recorded in a multitude of different data formats. This lack of compatibility poses a major obstacle to efficient data sharing and collaboration (Breaking Down the Data Barriers in
A short review on fly ash geopolymer machining: A large gap with bright potential for engineering applications

This article reviews previous studies of geopolymer. Ordinary Portland Cement (OPC) is the most common type of cement in general use around the world as a basic ingredient of concrete. There are few research for an alternative binder material with no cement usage (cementless) called “geopolymer” will introduce in the machining industry. Further research will be conducted in looking for the potentiality of crumb rubber when added to the host materials of geopolymer. The process of development geopolymer will be explained. The types of base materials used in the formation of geopolymer in machining will be described in details.This article reviews previous studies of geopolymer. Ordinary Portland Cement (OPC) is the most common type of cement in general use around the world as a basic ingredient of concrete. There are few research for an alternative binder material with no cement usage (cementless) called “geopolymer” will introduce in the machining industry. Further research will be conducted in looking for the potentiality of crumb rubber when added to the host materials of geopolymer. The process of development geopolymer will be explained. The types of base materials used in the formation of geopolymer in machining will be described in details.
Preparation and characterization of nanofluids based on molten salts with enhanced thermophysical properties for thermal energy storage at concentrate solar power

In the recent years considerable interest of scientific and industrial communities in molten salts based nanofluids is evident. Such interest is motivated by the possibility of enhancement of thermophysical properties of molten salts by means of adding small concentrations of nanoparticles. This enhancement is particularly attractive for thermal energy storage systems at concentrated solar power plants, where molten salts are often used as a storage media as well as heat transfer fluid. Despite the high number of works reporting the effect of nanoparticles on thermophysical properties of molten salts, not only does the mechanism behind the observed enhancement remain mysterious, but the reported values are often contradicting. In this work we attempt to provide some guidelines for the preparation and characterization of nanofluids based on molten salts in order to avoid misleading interpretations regarding their thermophysical properties. We particularly focus on the importance of the preparation method and the stability of molten salt based nanofluids. We also discuss the formation of dendritic structures in molten salt doped with nanoparticles, which has been often related to thermophysical properties enhancement.In the recent years considerable interest of scientific and industrial communities in molten salts based nanofluids is evident. Such interest is motivated by the possibility of enhancement of thermophysical properties of molten salts by means of adding small concentrations of nanoparticles. This enhancement is particularly attractive for thermal energy storage systems at concentrated solar power plants, where molten salts are often used as a storage media as well as heat transfer fluid. Despite the high number of works reporting the effect of nanoparticles on thermophysical properties of molten salts, not only does the mechanism behind the observed enhancement remain mysterious, but the reported values are often contradicting. In this work we attempt to provide some guidelines for the preparation and characterization of nanofluids based on molten salts in order to avoid misleading interpretations regarding their thermophysical properties. We particularly focus on the importance of the preparation method a.
Application of Laplace Domain Waveform Inversion to Cross-Hole Radar Data

Full waveform inversion (FWI) can yield high resolution images and has been applied in Ground Penetrating Radar (GPR) for around 20 years. However, appropriate selection of the initial models is important in FWI because such an inversion is highly nonlinear. The conventional way to obtain the initial models for GPR FWI is ray-based tomogram inversion which suffers from several inherent shortcomings. In this paper, we develop a Laplace domain waveform inversion to obtain initial models for the time domain FWI. The gradient expression of the Laplace domain waveform inversion is deduced via the derivation of a logarithmic object function. Permittivity and conductivity are updated by using the conjugate gradient method. Using synthetic examples, we found that the value of the damping constant in the inversion cannot be too large or too small compared to the dominant frequency of the radar data. The synthetic examples demonstrate that the Laplace domain waveform inversion provide slightly better initial models for the time domain FWI than the ray-based inversion. Finally, we successfully applied the algorithm to one field data set, and the inverted results of the Laplace-based FWI show more details than that of the ray-based FWI.
Carbon Nanotube Composites

The discovery of carbon nanotubes is one of the remarkable achievement in the field of material science and it is a great advancement of Nanotechnology. A carbon nanotube is an expedient material used in several domains and paves way for the welfare of humans in many ways. Carbon nanotubes are nanosized tubes made from graphitic carbons and it is well known for its exclusive physical and chemical properties. The market demand for the nanotubes has increased progressively due to its size dependent, structure and mechanical properties. The carbon nanotubes possess high tensile strength and it is also found to be the durable fibre ever known. It is also found to possess exceptional electrical properties. The carbon nanotube composites have an excellent young’s modulus and higher tensile strength same as graphite carbon. This review plots the properties of carbon nanotubes and portrays the planning and properties of carbon nanotube composites. The wide application of carbon nanotube composites is also explained.
Sea Ice–Ocean Feedbacks in the Antarctic Shelf Seas

Observed changes in Antarctic sea ice are poorly understood, in part due to the complexity of its interactions with the atmosphere and ocean. A highly simplified, coupled sea ice–ocean mixed layer model has been developed to investigate the importance of sea ice–ocean feedbacks on the evolution of sea ice and the ocean mixed layer in two contrasting regions of the Antarctic continental shelf ocean: the Amundsen Sea, which has warm shelf waters, and the Weddell Sea, which has cold and saline shelf waters. Modeling studies where we deny the feedback response to surface air temperature perturbations show the importance of feedbacks on the mixed layer and ice cover in the Weddell Sea to be smaller than the sensitivity to surface atmospheric conditions. In the Amundsen Sea the effect of surface air temperature perturbations on the sea ice are opposed by changes in the entrainment of warm deep waters into the mixed layer. The net impact depends on the relative balance between changes in sea ice growth driven by surface perturbations and basal-driven melting. The changes in the entrainment of warm water in the Amundsen Sea were found to have a much larger impact on the ice volume than perturbations in the surface energy budget. This creates a net negative ice albedo feedback in the Amundsen Sea, reversing the sign of this typically positive feedback mechanism.
Simulation-based design and characterization of a microwave applicator for MR-guided hyperthermia experimental studies in small animals

Purpose: The objective of this study was to design and characterize a 2.45 GHz microwave hyperthermia applicator for delivering hyperthermia in experimental small animals to 2–4 mm diameter targets located 1–3 mm from the skin surface, with minimal heating of the surrounding tissue, under 14.1 T MRI real-time monitoring and feedback control. Materials and methods: An experimentally validated 3D computational model was employed to design and characterize a non-invasive directional water-cooled microwave hyperthermia applicator. We assessed the effects of: reflector geometry, monopole shape, cooling water temperature, and flow rate on spatial-temperature profiles. The system was integrated with real-time MR thermometry and feedback control to monitor and maintain temperature elevations in the range of 4 °C–5 °C at 1–3 mm from the applicator surface. The quality of heating was quantified by determining the fraction of the target volume heated to the desired temperature, and the extent of heating in non-targeted regions. Results: Model-predicted hyperthermic profiles were in good agreement with experimental measurements (Dice Similarity Coefficient of 0.95–0.99). Among the four considered criteria, a reflector aperture angle of 120°, S-shaped monopole antenna with 0.6 mm displacement, and coolant flow rate of 150 ml min−1 were selected as the end result of the applicator design. The temperature of circulating water and input power were identified as free variables, allowing considerable flexibility in heating target sizes within varying distances from the applicator surface. 2–4 mm diameter targets positioned 1–3 mm from the applicator surface were heated to hyperthermic temperatures, with target coverage ratio ranging between 76%–93% and 11%–26% of non-targeted tissue heated. Conclusion: We have designed an experimental platform for MR-guided hyperthermia, incorporating a microwave applicator integrated with temperature-based feedback control to heat deep-seated targets for experimental studies in small animals.
Interpretation of localized surface nano-structures

Recent experiment was done to create surface nano-structures by extrusion of slow highly charged ions with LiNbO_3 single crystal. In this paper, we suggest a mechanism based on plasma expansion approach to explain the formation of the surface nano-structures. Furthermore, the effects of the physical parameters of the non-Maxwellian plasma on the created structures are examined.
Random number generator circuit

The invention discloses a random number generator circuit based on real-time data streams and pseudo random numbers, comprising an m-bit linear feedback shift register circuit, an n-bit cellular automaton shift register circuit, a random counter circuit, a random data acquisition circuit, a logic exclusive-OR circuit and an HASH diffusion circuit, wherein the random data acquisition circuit outputs random bit streams; the logic exclusive-OR circuit processes the obtained original random bit streams and then generates internal random bit streams; and the HASH diffusion circuit processes the internal random bit streams to form and output random bits with different places, which are used for a crypto module. The invention can generate reliable and unpredictable random numbers, thereby enhancing the safety and the reliability of products.
Total Ozone over Vernadsky Antarctic Station: Ground-based and Satellite Measurements

Objective. Provide an analysis of the total ozone variations over Vernadsky Antarctic station (Faraday Base until 1996) from long-term ground-based and satellite series. Study the discrepancies between the data of different instruments. Methods. Data visualization followed by analysis, statistical treatment of the Vernadsky Dobson spectrophotometer observations and satellite total ozone series. Results. Satellite and ground-based measurements of total ozone over Vernadsky station have confirmed the stabilization in the ozone layer in the stratosphere over Antarctica from the early 2000s. British Faraday Base observations have retrieved an ozone spring maximum during the 1950s–1970s with a sharp decrease in the August–October values in the 1980s–1990s. That changed substantially total ozone seasonal cycle. Satellite overpasses and model data based on satellite measurements have been analyzed. It is shown that typical discrepancies between the Ozone Monitoring Instrument (OMI) model and the Vernadsky Dobson daily means are mainly in the range of 20 DU. Larger deviations are rare and are observed predominantly on the beginning and at the end of the observational season. Seasonal means and standard deviations for the model–Dobson differences were calculated that demonstrates worse correspondence of the OMI model with Vernadsky Dobson data during separate years, in particular 2009–2010. Conclusions. Both Dobson and satellite ozone data over Faraday/Vernadsky station have shown the total ozone decrease during the 1980s–1990s (mainly in spring) with a following stabilization since year 2000. Comparison between the ground-based data and models calculated from satellite measurements indicates better correspondence of the Dobson and GOME2 results relatively the OMI ones. There are evidences that individual Dobson measurements underestimate to some degree total ozone on the beginning of observational season at high solar zenith angles and the low total ozone values.
Frustration in the face of the driver

Frustration in traffic is one of the causes of aggressive driving. Knowledge whether a driver is frustrated may be utilized by future advanced driver assistance systems to counteract this source of crashes. One possibility to achieve this is to automatically recognize facial expressions of drivers. However, only little is known about the facial expressions of frustrated drivers. Here, we report the results of a driving simulator study investigating the facial muscle activity that comes along with frustration. Twenty-eight participants were video-taped during frustrated and non-frustrated driving situations. Their facial muscle activity was manually coded according to the Facial Action Coding System. Participants showed significantly more facial muscle activity in the mouth region. Thus, recording facial muscle behavior potentially provides traffic researchers and assistance system developers with the possibility to recognize frustration while driving.
The impact of domestic cats (Felis catus) living around Travis Wetland, Christchurch, New Zealand.

3 Acknowledgments . 4 Chapter 1: Introduction . 6 1.1 Cats as Predators . 6 1.2 Cat Management Options . 11 1.3 Study Rationale . 13 1.4 Research Objectives . 14 Chapter 2: Cat Abundance and Characteristics around Travis Wetland. 16 2.
An Adaptable Device for Scalable Electrospinning of Low- and High-Viscosity Solutions

This paper summarizes the design and construction of an adaptable electrospinner capable of spinning fluids over a large range of viscosities. The design accommodates needless electrospinning technologies and enables researchers to explore a large range of testing parameters. Modular parts can be exchanged for alternative versions that adapt to the research question at hand. A rotating drum electrode immersed halfway into a solution bath provides the liquid film surface from which electrospinning occurs. We tested and assessed several electrode designs and their electrospinning performance at higher (< 500 poise) viscosities. Relative humidity was found to affect the onset of electrospinning of highly viscous solutions. We demonstrate robust device performance at applied voltage up to 90 kV between the electrospinning electrode and the collector. Design and fabrication aspects are discussed in practical terms, with the intent of making this device reproducible in an academic student machine shop.
Application and performance of convolutional neural networks to SAR

Implementation of convolutional neural networks (CNNs) as classifiers has only recently found application in SAR multi-target classification. Despite the creation of several successful architectures, a general approach to CNN design and training has not been determined. In this paper, the basics of CNN architecture and learning algorithms are discussed. The MSTAR data set is used to demonstrate the effect of individual parameter changes to overall network performance.
Formalization of software requirements for information systems using fuzzy logic

The paper considers an approach to the design of information systems based on flexible software development methodologies. The possibility of improving the management of the life cycle of information systems by assessing the functional relationship between requirements and business objectives is described. An approach is proposed to establish the relationship between the degree of achievement of business objectives and the fulfillment of requirements for the projected information system. It describes solutions that allow one to formalize the process of formation of functional and non-functional requirements with the help of fuzzy logic apparatus. The form of the objective function is formed on the basis of expert knowledge and is specified via learning from very small data set.