Miracle-dz/UniFAR-FTUs huggingface dataset:
Diversity and phylogenetic relationship of cellulolytic bacteria from the feces of Bali Cattle in South Central Timor, East Nusa Tenggara, Indonesia

Missa H, Susilowati A, Setyaningsih R. 2016. Diversity and phylogenetic relationship of cellulolytic bacteria from the feces of Bali Cattle in South Central Timor, East Nusa Tenggara, Indonesia, Indonesia. Biodiversitas 17: 614-619. There are three types of cattle farms with different kinds of feed in South Central Timor, that are maintained around Supul Lake, quarantined and left in the wild. This research aims to isolate, identify and determine the genetic relationship among of cellulolytic bacteria from the feces of Bali Cattle (Bos javanicus javanicus DÂ´Alton, 1823, syn. Bos javanicus sondaicus Temminck, 1839/Blyth, 1842) in South Central Timor. Theisolation of cellulolytic bacteria was done by using spread plate method on Carboxymethyl Cellulose (CMC) media. Cellulolyticactivities were determined by the clear zone visibility using 0.1% congo red indicator. 16S rRNA encoding genes amplification wasconducted using Polymerase Chain Reaction (PCR) using 63F and 1387r primers. Sequences of the 16S rRNA encoding genes were analyzed by bioinformatics using Nucleotide BLAST on NCBI website to determine the species of bacteria based on sequencesimilarity. The construction of the phylogenetic tree of cellulolytic bacteria was done using MEGA 7.0 software. The results were 48isolates showing cellulase activity. There were 12 isolates from Supul Lake which have high cellulase activity namely: S1H6, S2H5 S2H7 S3H; in quarantine location: K1H6, K2H3, L2H7, K2H4, K1H2, K3H2; and in wild care system: L1H4 and L1H5. These activities were presented in clear zone about 7.08 to 1.47 cm. Based on the analysis of 16S rRNA encoding genes, there were 5 different genera found in 12 isolates with high cellulolytic activity. The isolates possessed similarity with Pseudomonas sp. 96%, Acinetobacter sp. 95%, Bacillus 97%, Stenotrophomonas 88%, and Brachybacterium sp. 97%. There were seven bacterial isolates having the potential to be declared as new bacterial species with <97% similarity percentage that are SIH6, S2H5, K2H3, K2H4, LIH4, LIH5, L2H7. Based on the phylogenetic tree cellulolytic bacteria showed the closest genetic relationship of 0.0% and farthest of 19.3% L2H7 isolate with Brachybacterium sp. S21F1Keywords: 16S rRNA encoding gene, Bali Cattle, Bos sondaicus, cellulolytic bacteria, diversity, phylogenetic relationship
Perspectives of Conductive Polymers Toward Smart Biomaterials for Tissue Engineering

Developing the stimuli-responsive biomaterials with tailor properties represents an important goal of the tissue-engineering community. Such biomaterial promises to become the conductive polymers (CPs), as a novel generation of organic materials that have both electrical and optical properties similar to those of metals and inorganic semiconductors but which also exhibit the attractive properties associated with conventional polymers, that is, easy synthesis and flexibility in processing. The fact that several tissues are responsive to electrical fields and stimuli has made conductive polymers attractive for various biological and medical applications. In this context, the chapter provides information on the basic properties of the conductive polymers and how these polymers can be optimized to generate specific properties for biomedical applications. The synthesis routes of novel materials and specific design techniques, as well as the mechanisms by which electrical conduction affects cells/tissues, are examined, and the significant impact of the conductive polymers in the biomedical field, that is, biosensors, tissue engineering, and neural probes, is demonstrated.
Toward a three-dimensional finite-element model of the human inner ear angular accelerometers sensors

The vestibular section of the inner ear is partly comprised of three semicircular canals that detect head angular acceleration. This system is filled with a Newtonian fluid and its functioning pertains on fluid-structure interactions. The aim of the present paper is first to present a two-dimensional model of a single semicircular canal using fluid-structural finiteelements simulations. Second, this two-dimensional model is extended to 3-D space and to the case where the entire set of canals is considered. To achieve this goal, we first develop a two dimensional finite-elements model of a single canal. Using a strong coupling between the fluid flow and the structural displacements and also an Arbitrary Lagrangian Eulerian (ALE) approach for the moving mesh, we analyze displacements of the cupulae and fluid velocity during head rotation. Second, this 2-D model is extended to a three-dimensional case by considering the entire set of canals. Preliminary results showing cupula deformation as well as fluid flow highlight a good correlation with the 2-D model.
Density functional studies of structural and electronic properties of potassium alanate as a candidate for hydrogen storage

Potassium Alanate has been one of the goal candidates for hydrogen storage during the past decades. In this report, the Density Functional Theory was initially applied to simulate the electronic and structural characteristics of the experimentally known KAlH4 complex hydride. The relaxation of unit cell parameters and atomic positions was conducted until the total residual force was reduced to less than 0.001eV per unit cell. The final deduced cell parameters of this orthorhombic structure were a=8.834, b=5.763, c=7.328A ̊. Calculations were carried out by using the Projected Augmented Plane wave method via the QUANTUM ESPRESSO Package. In the next step, the Density of States calculations together with the band structure results showed that our data coincides with a non-magnetic KAlH4 insulator with a band gap of 5.1eV. In order to investigate the nature of the chemical bonds in the crystal structure, the charge density distribution in (100), (010), (001), and (110) planes, along with the Born Effective charge and Löwdin population was used. The results show the transition of a partial charge from K+ cation to [AlH4] subunit which leads to an ionic bond.
An Investigation Into The Relationship Between The Implementation of Lean Manufacturing and Energy Efficiency in Industrial Organizations

There is a general acceptance in literature that implementing lean manufacturing is concerning the effective utilization of available resources. Thus, it is argued that lean implementation may enhance, among others, energy efficiency. In accordance, Khalaf, et al., (2010) developed a conceptual model to illustrate how lean manufacturing implementation realizes improvements in energy efficiency through enhancing both labor efficiency and capacity utilization. Based on this conceptual model, a survey is performed with the aim to build mathematical models to validate these conceptually proposed relationships. The developed mathematical models revealed that implementing both the HRM and TQM bundles of lean practices have significant effects on improving labor efficiency and capacity utilization, respectively. Further, the analysis supported the argument that higher labor efficiency as well as higher capacity utilization leads to higher energy efficiency. These results empirically validates that lean manufacturing implementation significantly influence energy efficiency.
Improved B1-Mapping for Multi RF Transmit Systems

Fig. 1 shows the B1-maps for the individual coil elements. The maps clearly reflect the regular arrangement of the transmit coil array. The single coil mode results in B1-maps suffering from strong noise in the regions of low B1. In contrast, hardly any noise can be noticed in the maps derived from the inverted coil mode. In Fig. 2, selected profiles of the B1-maps are shown as a graph for both modes. In the high B1 regions, both curves are in good agreement, indicating a reasonable linearity of the transmit system. However, for flip angles smaller than 10°, the maps derived from the single coil mode are corrupted by noise. This is a result of the lower SNR of the source data and the adverse noise propagation of the AFI technique for small flip angles. In contrast, the maps based on the inverted coil mode are smooth for the entire B1 range. Discussion As a result of the linearity of the transmit system, the coil basis functions used for multi-transmit applications (e.g. RF shimming) may be freely chosen. This may be utilized for adapting the RF field to a favourable operational range of the B1-mapping technique. This potentially results in improved B1-maps, as demonstrated in this work for the example of the AFI approach. In practice, basis functions with constructive superposition of the coil element sensitivities will be favourable. If reasonable estimates for the phases of the coil elements are not available, signal cancellation may occur and spoil the quality of the maps. In this case, the phases of the coil elements can still be estimated and proper B1-maps can be acquired in a second iteration.
WHICH IMPROVES MARKET EFFICIENCY OF ETFs:: ACTIVE OR PASSIVE MANAGEMENT? #

This paper extends the debate over the benefits of active versus passive management by investigating their impact on market efficiency using data from available ETFs traded on the U.S. market. After accounting for a variety of empirical methodologies with respect to random walks, profits of trading strategies, and transaction costs, our findings reveal that active management matters to the improvement of market efficiency and helps information being incorporated into prices. One practical implication of this study is that fund managers should employ a more active strategy in designing and managing their ETFs.
CRYPTOGRAPHY SCHEME BASED ON TRANSPARENT FEEDFORWARD NEURAL NETWORK AND ORDERED LOOKUP TABLE

A single hidden layer feedforward neural network (FFNN) is called a transparent FFNN if its output vector is a reproduction of the input vector. In this case, the input vector is the target output vector. Once the transparent FFNN is well designed with the m-bit plaintext input set, the designed network is divided into two parts: the transmitter private network encrypting part and the receiver public network decrypting part. The hidden vector which is the output real vector of the private network part is transmitted using the decimal-value ordered lookup table (DVOLT). The m-bit binary cipher vector is the chosen binary index of the lookup table. In this paper, the binary plaintext vector size (m) is chosen to be 16 bits (two bytes). Computer simulation shows that both operations of encryption or decryption of all possible plaintext of 65536 (216) vectors can be done with zero error and an average processing time of 8.3 msec per 16-bit vector (4.15 msec / byte) per operation. The average hamming distance between the binary plaintext and the binary ciphertext is calculated as 7.8798 for all possible plaintext of 65536 16-bit vectors. This scheme can't be attacked by either brute force or cryptanalysis since there are no binary keys or known mathematical structures. The most important part which must be kept secret is the private matrix of the transmitter private network encrypting part. Each of the private encrypting key and the public decrypting key needs a memory size of about 8.5 Mbytes. The large size of both the private and public keys may limit the applications of the proposed scheme to large workstations intercommunications. This proposed cryptography scheme provides sender authentication and also receiver confidentiality.
A Mach-Sensitive Splitting Approach for Euler-like Systems

Herein, a Mach-sensitive fractional step approach is proposed for Euler-like systems. The key idea is to introduce a time-dependent splitting which dynamically decouples convection from acoustic phenomenon following the fluctuations of the flow Mach number. By doing so, one seeks to maintain the accuracy of the computed solution for all Mach number regimes. Indeed, when the Mach number takes high values, a time-explicit resolution of the overall Euler-like system is entirely performed in one of the present splitting step. On the contrary, in the low-Mach number case, convection is totally separated from the acoustic waves production. Then, by performing an appropriate low-Mach correction on the acoustic step of the splitting, the numerical diffusion can be significantly reduced. A study made on both convective and acoustic subsystems of the present approach has revealed some key properties as hyperbolicity and positivity of the density and internal energy in the case of an ideal gas thermodynamics. The one-dimensional results made on a wide range of Mach numbers using an ideal and a stiffened gas thermodynamics show that the present approach is as accurate and CPU-consuming as a state of the art Lagrange-Projection-type method.
Sample size calculation for comparing time-averaged responses in K-group repeated binary outcomes

In clinical trials with repeated measurements, the time-averaged difference (TAD) may provide a more powerful evaluation of treatment efficacy than the rate of changes over time when the treatment effect has rapid onset and repeated measurements continue across an extended period after a maximum effect is achieved (Overall and Doyle, Controlled Clinical Trials, 15, 100-123, 1994). The sample size formula has been investigated by many researchers for the evaluation of TAD in two treatment groups. For the evaluation of TAD in multi-arm trials, Zhang and Ahn (Computational Statistics & Data Analysis, 58, 283-291, 2013) and Lou et al. (Communications in Statistics-Theory and Methods, 46, 11204-11213, 2017b) developed the sample size formulas for continuous outcomes and count outcomes, respectively. In this paper, we derive a sample size formula to evaluate the TAD of the repeated binary outcomes in multi-arm trials using the generalized estimating equation approach. This proposed sample size formula accounts for various correlation structures and missing patterns (including a mixture of independent missing and monotone missing patterns) that are frequently encountered by practitioners in clinical trials. We conduct simulation studies to assess the performance of the proposed sample size formula under a wide range of design parameters. The results show that the empirical powers and the empirical Type I errors are close to nominal levels. We illustrate our proposed method using a clinical trial example.
Between Larval Development and Adult Residence Habitats of Dolichopodid Flies ( Diptera , Empidoidea : Dolichopodidae ) in a Heterogeneous Mosaic of Seacoast Grassland Habitats

Spatial distribution of dolichopodid adults and larvae was investigated in a heterogeneous mosaic of seacoast habitats in the Lake Engure Nature Park (Latvia) in July 2006. The patchy coastal landscape was dominated by dry dune grasslands, wet seacoast grasslands and reed beds. Larval development habitats were determined by using soil emergence traps, while the flight activity of adult flies was examined by yellow water traps. In total, 30 dolichopodid species were recorded. The most abundant species were Dolichopus nubilus, D. notatus, Teuchophorus spinigerellus, Sympucnus pulicarius, Dolichopus acuticornis, D. pennatus, D. plumipes and Sciapus maritimus. There were much higher species richness and abundance for adult flies flying above the ground in comparison with those species emerging from soils. In general, dolichopodids were more abundant in humid habitats. Flying adult dolichopodids concentrated in reed beds, while their emergence activity, representing larval development habitats, was significantly higher in wet seacoast grasslands. Thus, habitats of larval development did not correspond to adult residence habitats. The article discusses several alternative explanations for such spatial distribution of different development stages. Behavioural aspects seem to be the most important for the habitat selection of adult flies. In conclusion, this study shows that dolichopodid flies may require a highly heterogeneous environment during their life cycle.
Determination of total phenol, condensed tannin and flavonoid contents and antioxidant activity of Uncaria gambirextracts

Uncaria gambir, a well known Southeast Asia plant have been previously used as an alternative medicine for treatment such as diarrheal, sore throat and spongy gums. Due to its useful properties, in this study we have analysed the total phenol, condensed tannin, flavonoid content and antioxidant activity of Uncaria gambir in three different solvent extracts. Characterization and quantification analysis using Fourier Transform Infrared (FTIR) spectroscopy and reverse phase-high performance liquid chromatography (RP-HPLC) has confirmed that the major chemical constituents of Uncaria gambir are mainly catechins. It was revealed that the ethyl acetate gambir extract gives the highest catechin content and antioxidant activity compared with other solvent extracts. Key words: Uncaria gambir, antioxidant activity, condensed tannin, flavonoid
Investigating information systems with mixed-methods research

Mixed-methods research, which comprises both quantitative and qualitative components, is widely perceived as a means to resolve the inherent limitations of traditional single method designs and is thus expected to yield richer and more holistic findings. Despite such distinctive benefits and continuous advocacy from Information Systems (IS) researchers, the use of mixed-methods approach in the IS field has not been high. This paper discusses some of the key reasons that led to this low application rate of mixed-methods design in the IS field, ranging from misunderstanding the term with multiple-methods research to practical difficulties for design and implementation. Two previous IS studies are used as examples to illustrate the discussion. The paper concludes by recommending that in order to apply mixed-methods design successfully, IS researchers need to plan and consider thoroughly how the quantitative and qualitative components (i.e. from data collection to data analysis to reporting of findings) can be genuinely integrated together and supplement one another, in relation to the predefined research questions and the specific research contexts.
A biological route for producing low energy binders

Building materials almost certainly consist of some form of binders. Presently used binders, such as cement, consume a high amount of energy consumption in its manufacturing and transportation. This paper reports a biomimetic strategy for production of binders at ambient conditions based on microbially induced calcium carbonate precipitation (MICP). Microorganisms such as Sporosarcina pasteurii and Bacillus megaterium are used for precipitation of calcium carbonate on substrates such as concrete and brick. The deposition reduces permeability and corrosion in the substrate. The paper demonstrates the methods of increasing efficiency and cost reduction of the process. Effect of microbial action on strength, permeability of concrete, particularly near its surface, and ingress of moisture and chloride are discussed. Result of calcite deposition on reinforced concrete in terms of current passed when exposed to harsh corrosive conditions and Icorr is presented. Further, the role of MICP has been presented to develop highly efficient and durable soil-cement brick that requires very low embodied energy for production and also emit least CO2.The current work demonstrates that production of biocalcification by urease producing bacteria can at least partially replace the industrial binders and provide a more sustainable alternative.
The Relationship Between Phytoplanktonic Organisms and Chlorophyll a in Sultan Sazlığı

This study examines the variations and relationship between phytoplanktonic organisms and chlorophyll a in Sultan Sazligi marshes. During the sampling period, the density of phytoplankton and the value of chlorophyll a were examined, and it was found that the correlation between them was high. Given the variations between these two parameters in accordance with the seasons, the relationships with other studies are also discussed.
Biological reactions to different dental implant surface treatments

The treatment of dental implants that increases surface area and roughness enhances bone-to-implant contact ratio; thus, facilitates the immediate loading of dental implants and fastens the osseointegration process. Structural and functional union of the implant with living bone is strongly influenced by the surface properties of the titanium (Ti) implants. As Ti and its alloys cannot directly bond with living bone, modification of implant surface has been introduced to enhance osseointegration. The biological effect of different methods of surface treatment has been studied in vivo and in vitro experiments. This review outlines the biological aspects and the use of certain surface modifications to control bone-to-implant biological response. In this review, we tried to cover a large number of reported studies related to implant surface treatments. Many of these treatments have been tried in the clinic and showed satisfactory results; therefore, specific recommendation regarding the best biocompatible implant surface treatment was hard to conclude
A Novel Image Retrieval Method with Saliency Feature Vector

In the past few years, image retrieval has been one of the research focuses in the field of computer vision. For most retrieval methods, the accuracy of the retrieval results mainly depends on the extracted feature vectors. But, the foreground and the background in the images are not distinguished for most methods. It is obvious that these methods are not in accordance with the visual characteristics of the human eye. In this paper, salient objects are extracted from images in order to improve the pertinence of feature vector extraction. The paper utilizes a spatial pyramid model to divide the image into different parts with different scales. The feature vectors extracted in different scale are connected. Then, the saliency map and saliency score are used to rebuild the joint vector. Each feature vector is assigned different weighted values according to its different location in the image and scale. Finally, the newly constructed feature vectors are used to measure the similarity between images. In order to test the effectiveness of the algorithm, we evaluate our method on the SIMPLIcity dataset and Stanford dataset. Experimental results show that the proposed method has a great improvement in both accuracy and efficiency.
A "Beggar-Thy-Neighbor" Effect in Public Debt? Evidence from cross-border spillover of fiscal consolidations

In a globalized world, countries are exposed to policy shocks from abroad. This paper investigates the cross-border effect of fiscal consolidations taking place in two safe assets countries (Germany and the USA). Cross-border spillovers are defined as the results of fiscal consolidation shocks in Germany or USA which are transmitted to peripheral countries. We consider two levels of analysis: the external effect of US fiscal consolidations on other OECD countries and the external effect of German fiscal consolidations on other Eurozone countries. The "beggar-thy-neighbor" effect in this context means that a reduction of the public debt in a safe asset country as a consequence of a fiscal consolidation plan may generate an increase in the public debt abroad. Our empirical analysis in a sample of 27 OECD countries over the period 1980 - 2007 shows an evidence of a "beggar-thy-neighbor" effect in public debts. We find empirical supports for the mechanism both at the OECD and the Eurozone levels.