Miracle-dz/UniFAR-FTUs huggingface dataset:
USING A CMOS-BIOMEMS CANTILEVER SENSOR FOR ORCHID VIRUS DETECTION

We present a preliminary study on utilizing cantilever biosensors to detect Odontoglossum ringspot tobamovirus (ORSV) - one of the most prevalent viruses affecting the health of orchids. The cantilever surfaces of the biosensor are immobilized by ORSV-antibody (Ab) as the recognition probe for ORSV detection. Implemented by using commercially available CMOS technology and post-processed for bio-MEMS capability, the biosensors are embedded with piezoresistors, which can realize surface stress changes due to cantilever deflection coming from the specific bioaffinity between the antigen (Ag) and the antibody. The result shows -0.7% and +0.6% resistivity change when ORSV-Ab and ORSV are respectively presented.
The Save KPK Movement: A Framing Analysis of Coverage in Indonesian News Media Surrounding the KPK and Police Dispute

Previous studies focusing on protest and social movement mostly concern identifying marginalization strategies that the media used to delegitimize the movement. This study attempted to examine how Indonesian mainstream media framed the Save KPK movement which emerged as a result of the dispute between the KPK and the Police. This study viewed these two institutions as collective and competing actors that represent certain interests and pursue the legality of their actions. In particular, this study proposed a typology of five framing devices used in the coverage of the Save KPK movement and explored the occurrence of framing strategies and the overall tone of the news coverage of the movement. A total of 246 articles on the Save KPK Movement was derived from the two most influential elite newspapers in Indonesia: the Kompas and the Media Indonesia. The Media Indonesia had 138 articles, while the Kompas published 108 articles. The results show that conflict, morality, and responsibility are the three framing devices mostly used in media coverage of the Save KPK movement. Further, the results demonstrated that the social movement organizations seem to be successful in the process of diagnostic, prognostic, and motivational framing. The results of this study provide more insight concerning framing strategies and media contents could be applied to be effective in shaping public opinion. In particular, the results highlight the positive side of the social movement organizations and their actions could strengthen the support of the public for the consequences of that target group. DOI: 10.5901/mjss.2016. v7n3s1p229
Molecular dynamics simulations of lead and lithium in liquid phase

Pb17Li is today a reference breeder material in diverse fusion R&D programs worldwide. Extracting dynamic and structural properties of liquid LiPb mixtures via molecular dynamics simulations, represent a crucial step for multiscale modeling efforts in order to understand the suitability of this compound for future Nuclear Fusion technologies. At present a Li-Pb cross potential is not available in the literature. Here we present our first results on the validation of two semi-empirical potentials for Li and Pb in liquid phase. Our results represent the establishment of a solid base as a previous but crucial step to implement a LiPb cross potential. Structural and thermodynamical analyses confirm that the implemented potentials for Li and Pb are realistic to simulate both elements in the liquid phase.
Chapter 2 Metallothioneins , Saccharomyces cerevisiae , and Heavy Metals : A Biotechnology Triad ?

Metal ions are the least sophisticated chemical species that interact or bind to biomolecules. The yeast Saccharomyces cerevisiae represents a versatile model organisms used in both basic and applicative research, and one of the main contributors to the understanding of the molecular mechanisms involved in the transport, accumulation, and homeostasis of heavy metals. With a negatively charged wall, the yeast cells are very good biosorbents for heavy metals. In addition to biosorption, the metabolically active cells take up heavy metals via the normal membrane transport systems. Once in the cell, the toxicity of the heavy metals is controlled by various mechanisms, including sequestration by metal-binding proteins, such as the metallothioneins. Metallothioneins are cysteine-rich proteins involved in the buffering of excess heavy metals, both essential (Cu and Zn) and nonessential (Cd, Ag, and Hg). S. cerevisiae has two innate metallothioneins, Cup1 and Crs5, intensively investigated. Additionally, S. cerevisiae served as a host for the heterologous expression of a variety of metallothioneins from different species. This review focuses on the technological implications of expressing metallothioneins in yeast and on the possibility to use these transgenic cells in heavy metal-related biotechnologies: bioremediation, recovery of rare metals, or obtaining clonable tags for protein imaging.
Source Characteristics of a 5.5 Magnitude Earthquake that Occurred in the Transform Fault System of the Delfin Basin in the Gulf of California

Portable and permanent broadband seismic stations in the neighborhood of the Gulf of California recorded a moment magnitude Mw 5.5 event on 26 Novem- ber 1997. This is the first time that a moderate event located in the Gulf of California extensional province was well recorded by local broadband seismic stations. The event was located at 29.754 N and 113.708 W and at a focal depth of 5.0 km in the southeastern end of the transform fault that connects the lower and upper Delfin basins. The hypocentral location and the results of the wave modeling indicate that this is a complex event that originated in the pull-apart Delfin basin. The focal mech- anism estimated from first motions ( 310, d 83, k 97) and body-wave modeling of P waves in the frequency band 0.05-0.5 Hz suggests that the rupture started with dip-slip (reverse faulting) motion and ended releasing the bulk of energy through strike-slip motion. Synthetics of surface waves in the frequency band 0.05- 0.1 Hz were also calculated using a triangular source-time function of 3 sec. The best match between the synthetics and observed surface waves recorded at 90 km from the epicenter was obtained using a fault geometry defined by a strike of 330 15, dip 85 5, and slip of 165 15. The spectral analysis of the Lg phase recorded at stations in the Peninsular Ranges gives a seismic moment of 1.28 10 17 N m (1.28 10 24 dyne cm), a source radius of 6.3 km and a stress drop of 0.22 MPa (2.2 bar). The source parameters inferred with S-wave spectra and the same model (Brune, 1970) give similar values.
POPULATION STRUCTURE AND BIOREPRODUCTION OF BIGEYE TUNA (Thunnus obesus) IN WESTERN PART OF SUMATERA AND SOUTHERN PART OF JAVA AND NUSA TENGGARA, INDIAN OCEAN

Bigeye tuna is an important fish resource in the Indian Ocean. This species like other tuna species needs to be managed properly in both national and international levels. Therefore some data and information on population structure and bioreproduction are required for management purpose. The current research was conducted to identify the population structure and bioreproduction of bigeye tuna ( Thunnus obesus ) in west off Sumatera and south off Java and Nusa Tenggara of Indian Ocean where tuna fishing spots are important. This research was based on catch landed by fishermen from the Indian Ocean during 2010. Analysis of population structure was done using DNA genetic analyses and bioreproduction by using histology technique. Results show that the population structure of the bigeye tuna in the Indian Ocean consisted of two different sub populations namely sub population of west off Sumatra and sub population of south of Java and Nusa Tenggara waters. Most of catch (about 39%) was categorized as immature fish (GI I). The immature fish was mostly found in west off Sumatera waters, meanwhile the catch in south off Java and Nusa Tenggara waters was mostly categorized as mature fish. This result may indicate that south off Java and Nusa Tenggara waters is a spawning ground of the bigeye tuna.
COMMUNITY ANALYSIS AND CHARACTERIZATION OF FUNGI FROM BATURA GLACIER , KARAKORAM MOUNTAIN RANGE , PAKISTAN

Karakoram mountain range contains the tallest mountain peaks of the world with thousands of glaciers which are microbiologically untapped. This is a pioneer approach of isolation and characterization of fungi from Batura glacier, Karakoram, Pakistan. Total number (CFU/mL or g) was determined at 4 °C and 15 °C to isolate psychrophilic and psychrotrophic fungi, respectively. About 33 different fungi were isolated from sediment (29), ice (2) and water (2) and were identified morphologically and by sequencing of specific internal transcribed spacer region of the species through internal transcribed spacer 1 (ITS1) and internal transcribed spacer 2 (ITS2) primers. Mostly, the fungal isolates belonged to genus Penicillium, followed by Cladosporium, Geomyces, Cordyceps, Mrakia, Cadophora, Tetracladium, Eupenicillium, Trametes, Mortierella, Scopulariopsis, Beauveria, Candida and Pseudogymnoascus. They showed growth at wide temperature range from 4–37 °C, few at 45 °C as well. Most of the isolates were able to grow at pH 1– 13. Fungal isolates were able to grow in 2–26% NaCl, with the highest tolerance (26%) by Mrakia robertii. All study isolates showed inhibitory activity against Staphylococcus sp. , and four industrially important enzymes (cellulase, DNase, lipase and phosphatase) were produced by Mrakia robertii. The fungal isolates of such cold habitats are potential sources of various industrial and environmental application.
The Morality in/of Compromise: Some Theoretical Reflections

This article aims to highlight the position occupied by compromise in the field of ethics. The argument is set out in two stages. First, the author attempts to clarify the contours of compromise by treating it as both a procedure or process of conflict resolution and a goal or “solution” to be achieved. In the second stage, he examines the distinction that could be made between “morality in compromise” and “morality of compromise”, so as to measure its import and show how compromise not only contains elements specific to morality as a system but can also be a form of morality in itself.
Promoted Motion-Sensing Gestural Interaction by Adapting to Group Users' Spatial Movements

Large displays are weak in providing sufficient access efficiency and input precision in gestural interaction. In particular, in multi-user situations when equal access efficiency and high precision are required, the weak of large displays becomes more obstructive. In order to address access efficiency and precision issues in both singleand multiuser situations, a walk-to-point technique is proposed. To evaluate the effectiveness, the new technique is compared to the traditional laser pointing method in terms of efficiency, precision and usability. The results showed that the new pointing technique outperformed the traditional laser pointing in both efficiency and precision, the smaller target size the more obvious superiority of the new technique. The new technique is also verified to be effective in providing equal access efficiency and precision to group users. Furthermore, the new technique achieves good result in usability evaluation.
Link to Leeds Beckett Repository record:

This paper applies the perspective of service-dominant logic, specifically value co-creation in service ecosystems to the context of sports. It builds on the notion that co-created value can only be understood as value-in-context. Therefore, a structural model is developed and tested for different contexts of spectating live broadcasts of football games during the Fédération Internationale de Football Association World Cup 2014. The context-specific contributions of the cocreating actors, spectators’ experience evaluations, and the resulting context-specific value perceptions from the spectators’ perspective are identified. The results highlight that the relative influence of the main co-creating actors and the relative importance of the value dimensions differ across contexts. Service providers (in sports) should identify how consumers evaluate experience and which dimensions of value are most important to them in the context under consideration. This will help them to successfully facilitate value co-creation, make meaningful value propositions and achieve strategic benefit for themselves.
A Python Software Toolbox for the Analysis of SO 2 Camera Data . Implications in Geosciences

Ultraviolet (UV) SO2 cameras have become a common tool to measure and monitor SO2 emission rates, mostly from volcanoes but also from anthropogenic sources (e.g., power plants or ships). Over the past decade, the analysis of UV SO2 camera data has seen many improvements. As a result, for many of the required analysis steps, several alternatives exist today (e.g., cell vs. DOAS based camera calibration; optical flow vs. cross-correlation based gas-velocity retrieval). This inspired the development of Pyplis (Python plume imaging software), an open-source software toolbox written in Python 2.7, which unifies the most prevalent methods from literature within a single, cross-platform analysis framework. Pyplis comprises a vast collection of algorithms relevant for the analysis of UV SO2 camera data. These include several routines to retrieve plume background radiances as well as routines for cell and DOAS based camera calibration. The latter includes two independent methods to identify the DOAS field-of-view (FOV) within the camera images (based on (1) Pearson correlation and (2) IFR inversion method). Plume velocities can be retrieved using an optical flow algorithm as well as signal cross-correlation. Furthermore, Pyplis includes a routine to perform a first order correction of the signal dilution effect (also referred to as light dilution). All required geometrical calculations are performed within a 3D model environment allowing for distance retrievals to plume and local terrain features on a pixel basis. SO2 emission rates can be retrieved simultaneously for an arbitrary number of plume intersections. Hence, Pyplis provides a state-of-the-art framework for more efficient and flexible analyses of UV SO2 camera data and, therefore, marks an important step forward towards more transparency, reliability and inter-comparability of the results. Pyplis has been extensively and successfully tested using data from several field campaigns. Here, the main features are introduced using a dataset obtained at Mt. Etna, Italy on 16 September 2015.
OPTIMIZATION STUDY AND PANEL PARAMETER STUDY FOR NOISE RADIATION REDUCTION OF AN AIRCRAFT PANEL EXCITED BY TURBULENT FLOW

The noise and vibration in an aircraft cabin during cruise conditions is mostly caused by external flow excitations from the turbulent boundary layer (TBL). The TBL causes the fuselage panels on the aircraft to vibrate. These vibrations radiate sound energy in the form of noise. Therefore, it is of great interest to determine which aircraft panel parameter is most sensitive in decreasing the amount of radiated sound power and how to optimize these parameters to reduce the noise into the aircraft cabin. An analytical model was created and validated using Matlab that calculates the acceleration power spectral density, which is proportional to radiated sound power (RSP). A sensitivity study was performed on the panel parameters, to determine the percent change in acceleration power spectral density (PSD), vs. the percent change in seven different panel parameters: panel thickness, material density, panel width and length, Elasticity modulus, Poisson’s ratio, and damping ratio. An analytical method to optimize an aircraft panel is presented, by changing the panel properties, in order to reduce the acceleration PSD of the panel caused by the TBL. It is shown that panel thickness and panel density are the most consistent and sensitive parameters at, reducing the acceleration PSD, at different octave bands in the human hearing range.
The SLA Evaluation Model for Cloud Computing

Cloud Computing is an emerging technology to deliver the infrastructure, network, software, and even the development environment as a service in the philosophy of pay-as- you-use. To guarantee all participants' rights in the cloud, SLA is suggested to be a necessary contract which can protect users and service providers from violation. However, SLA is an early-proposed method that not suitable for new characteristics of cloud computing. This paper present an optimized SLA model for cloud computing and a corresponding evaluation method, which can determine a more fair and reliable evaluation result of cloud service. With this model, users can simplify their selection process, while providers can use the evaluation result for further resource allocation strategy. Index Terms - SLA, Cloud computing, Evaluation model.
Enhancement of aerosol characterization using synergy of lidar and sun - photometer coincident observations: the GARRLiC algorithm

Abstract. This paper presents the GARRLiC algorithm (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) that simultaneously inverts coincident lidar and radiometer observations and derives a united set of aerosol parameters. Such synergetic retrieval results in additional enhancements in derived aerosol properties because the back-scattering observations by lidar improve sensitivity to the columnar properties of aerosol, while radiometric observations provide sufficient constraints on aerosol amount and type that are generally missing in lidar signals. GARRLiC is based on the AERONET algorithm, improved to invert combined observations by radiometer and multi-wavelength elastic lidar observations. The algorithm is set to derive not only the vertical profile of total aerosol concentration but it also differentiates between the contributions of fine and coarse modes of aerosol. The detailed microphysical properties are assumed height independent and different for each mode and derived as a part of the retrieval. The GARRLiC inversion retrieves vertical distribution of both fine and coarse aerosol concentrations as well as the size distribution and complex refractive index for each mode. The potential and limitations of the method are demonstrated by the series of sensitivity tests. The effects of presence of lidar data and random noise on aerosol retrievals are studied. Limited sensitivity to the properties of the fine mode as well as dependence of retrieval accuracy on the aerosol optical thickness were found. The practical outcome of the approach is illustrated by applications of the algorithm to the real lidar and radiometer observations obtained over Minsk AERONET site.
Equality and Identity of Fuzzy Numbers and Fuzzy Arithmetic with Equality Constraints

The difference between equality and identity of two fuzzy numbers is discussed in this paper. According to fuzzy arithmetic with requisite constraints put forward by Klir, the fuzzy arithmetic with equality constraints and its expression based on structured element are put forward, and then the irreversible problem in traditional fuzzy arithmetic is solved. From the expression based on structured element, the fuzzy arithmetic with equality constraints is turned into the operation of two monotone functions with the same monotonic form. From this transition we get the operation method of equality constraint arithmetic and the calculation method of fuzzy equation.
Effects of Neurofeedback Training on Dyslexic Students’ Aggression: An Experimental Study

Our paper describes an field experiment with a pre-test/post-test control group design which investigated the potential of neurofeedback training on perceived control of brain waves and expressed aggression. The study involved 40 dyslexic students (n = 20 randomly assigned to the experimental group and n = 20 to the control group) from 5 learning disabilities centers in the China. During eight weeks, the students in the eight experimental classes learned and practiced the neurofeedback strategy. Data analysis revealed that, the neurofeedback training programs had a positive effect on dyslexic students’ aggression. We found support that neurofeedback training can protect dyslexic students from an increase in expressed aggression during the reading words and texts. Furthermore, perceived control of brain waves increased in the neurofeedback group but remained unchanged in the control group.
Spray characteristic of palm biofuel blends

The present numerical study on spray characteristic of biofuels, which is the blend of Refined, Bleached and Deodorized Palm olein (RBDPO) and Commercial Diesel Fuel (CDF) in gas turbine, is important. This type of study is a major concern all over the world due to global issues for example pollution, shortage of fuel and economic crisis. This study is mainly focused on spray characteristic for various palm olein biofuel blends. Spray characteristic of various biofuel blends will be analyzed and compared to pure diesel. Biofuel blends that have different blending ratio - B5, B10, B15, B20, and diesel will be studied and the chemical properties of various biofuel blends can be determined after having several measurements in laboratory. Numerical study was conducted by using Gambit and FLUENT software to observe the spray characteristic such as Sauter Mean Diameter (SMD) and penetration for different biofuel blends. Verification and validation is an important way to ensure that the mathematical model can be used in this case studies. The k-epsilon model has successfully predicted the spray characteristic of all biofuel blends such as Sauter Mean Diameter and penetration of droplet particle and a correlation has been established.
Ordered Porous Nanomaterials: The Merit of Small

This paper will introduce the reader to some of the “classical” and “new” families of ordered porous materials which have arisen throughout the past decades and/or years. From what is perhaps the best-known family of zeolites, which even now to this day is under constant research, to the exciting new family of hierarchical porous materials, the number of strategies, structures, porous textures, and potential applications grows with every passing day. We will attempt to put these new families into perspective from a synthetic and applied point of view in order to give the reader as broad a perspective as possible into these exciting materials.
On the Use of "Green" Metrics in the Undergraduate Organic Chemistry Lecture and Lab to Assess the Mass Efficiency of Organic Reactions

This article describes a novel approach to evaluate the complete reaction mass efficiency (RME) and raw material cost (RMC) of any chemical transformation through the implementation of an Excel spreadsheet in a tax-form style and an easy graphical representation of the results. The complete equation for evaluating RME is presented. Students and their lab instructors will be able to see at once the material performance of their laboratory reaction and evaluate critically which of the four parameters (reaction yield, atom economy, stoichiometric factor, and material recovery parameter) needs further optimization to bring about a �greener� synthesis plan. The effect of material recovery options on RME and RMC are also given. The methodology is applied to a wide variety of organic reaction types and key trends in the material efficiency performances are summarized.