Miracle-dz/UniFAR-FTUs huggingface dataset:
PERCEPATAN PEMETAAN KADASTER MEMANFAATKAN TEKNOLOGI WAHANA UDARA TANPA AWAK

Since May 2013, the National Land Agency has begun serving Thematic Map production. This implies that there is some additional workload on the ongoing land register mapping. Therefore, it will be necessary to develop efficient technology to accelerate the production of cadastal maps. Nowadays, the remote sensing technologies using high-resolution satellite imagery has been used to produce maps, such as Land Use map, in BPN. To some needs, as a matter of fact, there are still weaknesses on remote sensing technology. This paper is aimed at introducing the use of unmanned aereal vehicle technology (UAV) to accelerate the production of thematic mapping. This technology is able to produce a sharper orthophoto in seeing parcel objects rather than that of satellite imagery. It has the production capacity of > 300Ha per day. The inexpensive and portable instrument led the idea of “on demand mapping” and the establishment of an efficient photogrammetric surveyor team that can serve in a relatively small area (<5.000Ha). The mapping will be done in locations with small change or the location needing a need a quick response. Moreover, there is no need to wait for a wide area as well as the use of remote sensing technology or conventional air mapping. Using the UAV for mapping technology can produce images with a value of <20cm Ground Sampling Distance (GSD) with average Horizontal positional accuracy of approximately 2 times GSD. Keywords: Cadaster mapping and land use map, orthophoto image, unmanned aerial vehicle.
Genetics and Regulation of Bacterial Biofilms

Bacterial biofilm formation, the construction of dense, protective, multicellular communities, is a widely conserved behavior. In some bacteria, such as the Gram-positive model organism Bacillus subtilis, the genetics controlling biofilm formation are well understood. In other bacteria, however, including the Gram-negative opportunistic pathogen Pseudomonas aeruginosa, the identities or roles of many biofilm genes remain unknown. Importantly, many proposed applications of biofilm research, particularly in the medical field, require knowledge not only of biofilm assembly but also of biofilm disassembly, the latter being a recent and underdeveloped area of study. It was previously reported that B. subtilis biofilms disassemble late in their life cycle due to the incorporation of four D-amino acids (D-leucine, D-methionine, D-tryptophan, and D-tyrosine, or D-LMWY) into peptidoglycan. It was further argued that D-LMWY specifically inhibits and disassembles the biofilms of diverse bacterial species, including B. subtilis and P. aeruginosa. Here I present a contrasting report. I describe how what had been perceived as D-LMWY-mediated biofilm inhibition is actually D-tyrosine-mediated toxicity. B. subtilis is sensitive to growth inhibition by D-tyrosine due to the absence of D-tyrosyl tRNA deacylase (Dtd), an enzyme that prevents the misincorporation of D-tyrosine and other D-amino acids into nascent proteins. By repairing the gene for Dtd, I was able to render B. subtilis resistant to both growth inhibition and biofilm inhibition by D-tyrosine and D-LMWY. In parallel, I recovered spontaneous mutants of B. subtilis that survive in the presence of D-LMWY. These isolates
Investigations of the neural mechanisms of cardiac stability

Electrical instability of the heart is known to precede the onset of lethal arrhythmias and the autonomic nervous system (ANS) is a primary factor in this process. However, the exact mechanisms of failure remain poorly understood. This work aims to better understand how ANS activity affects the electrical properties of the heart by investigating the effect of autonomic rhythms on the ventricular action potential duration (APD) recorded at tissue level using unipolar electrograms (UEGs). Studying dynamic behaviour of APD was associated with large data-sets of UEGs. Methods were developed to improve accuracy of automatic detection of APD, like narrow search windows and correlation filters to detect ambiguous activity. A simulation study was conducted to generate realistic UEG recordings to examine the effect of signal quality and filtering on tracking of APD dynamics. New insights were provided in how signal quality and filtering affect the accuracy of APD tracking. The proposed improvements were found to reduce the detection error substantially. The effect of autonomic rhythms on ventricular APD was explored using existing clinical data. By employing techniques to determine causality and time-frequency coherence, evidence was found that the ANS modulates ventricular electrophysiology: (1) with respiratory behaviour via a direct causal pathway, and (2) at a lower frequency and related to signs of enhanced sympathetic activity in blood pressure observed during mental stress. Further investigations were undertaken by designing and conducting a clinical experiment to study the effect of baroreceptor control on APD. Novel methodologies to determine the statistical significance of response curves were used to demonstrate for the first time that ventricular APD can be influenced by baroreceptor stimulation independent of heart rate. Identification of the neural mechanisms controlling cardiac stability may ultimately contribute to the development of new diagnostic tools and treatments to prevent thousands of deaths each year.
Characterisation of antagonistic Bacillus and Pseudomonas strains for biocontrol potential and suppression of damping-off and root rot diseases

Novel strains of rhizobacteria, Pseudomonas fluorescens Pf 9A-14, Pseudomonas sp. Psp. 8D-45 andBacillus subtilis Bs 8B-1, showed broad-spectrum antagonistic activity and provided suppression of Pythium damping-off and root rot of cucumber. Their biocontrol potential was further investigated for suppression of additional seedling diseases of cucumber (Phytophthora capsici )a nd radish (Rhizoctonia solani). Bacterial strains were also characterised for production of antibiotics, metabolites, volatiles, phytohormones and lytic enzymes. Seed and pre-plant applications of all three antagonistic bacteria as cell suspension and talc or irradiated peat formulations to the infested potting mix provided overall high level of suppression of Phytophthora damping-off and root rot of cucumber (66–85% healthy seedlings) and relatively low level of suppression of Rhizoctonia damping-off of radish (18–38% healthy seedlings). Bacterial treatments also resulted in higher plant fresh masses. Seed coating with irradiated peat formulation of a mixture of three bacteria resulted in superior control of Phytophthora damping-off and root rot of cucumber and much higher plant fresh masses. The presence of genes for biosynthesis of phenazine-1-carboxylic acid, 2,4-diacetylphloroglucinol, pyrrolnitrin and pyoluteorin was confirmed in Pseudomonas strains, and that of fengycin, bacillomycin, bacilysin, surfactin and iturin A in B. subtilis Bs 8B-1. All three strains produced HCN, salicylic acid, indole-3-acetic acid, protease and �� -1,3-glucanase. Both Pseudomonas strains produced siderophores and only P. fluorescens Pf 9A-14 showed phosphate solubilisation and chitinase activity. All three strains inhibited pathogen growth by producing volatiles, and gas chromatography–mass spectrometry analysis revealed eight compounds in Pf 9A-14, 10 in Bs 8B-1 and 4 in Psp 8D-45, some with known antifungal activity. The antagonistic and plant-growth promotion activities of these strains might be due to production of antibiotics, metabolites, lytic enzymes or phytohormones.
Mode group diversity multiplexing in multimode fiber transmission systems

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Population dynamics of the vicuña (Vicugna vicugna): density-dependence, rainfall, and spatial distribution

Abstract The vicuña (Vicugna vicugna) is a South American camelid that has been hunted to near extinction. Following the establishment of conservation programs, vicuñas have successfully recovered to their current “Least Concern” International Union for Conservation of Nature and Natural Resources status. We analyze a 31-year vicuña census data set from northern Chile in order to investigate the influence of various factors on vicuña population dynamics. During the first 15 years, population dynamics are driven by strong growth as the population recovers from overhunting, and during the last 15 years dynamics are dominated by fluctuations around carrying capacity. We find that the best fit of the census data is a logistic growth model that takes into account how changes in rainfall and primary productivity lead to fluctuations in carrying capacity, suggesting that the resources limiting vicuña population size are not constant but change over time. We also find that the spatial distribution of vicuñas changes over time with respect to the nutrient-rich bofedales (Andean peatlands). Our study demonstrates the importance of collecting and analyzing long-term census data, and suggests that further insight could be gained if vicuña location with respect to habitat type was recorded during the census.
Photoelectrochemical sterilization of microbial cells by semiconductor powders

We report the novel concept of photochemical sterilization. Microbial cells were killed photoelectrochemically with semiconductor powder (platinum-loaded titanium oxide, TiO2/Pt). Coenzyme A, (CoA) in the whole cells was photo-electrochemically oxidized and, as a result, the respiration of cells was inhibited. Inhibition of respiratory activity caused death of the cells. Lactobacillus acidophilus, Saccharomyces cerevisiae and Escherichia coli (103 cells/ml respectively) were completely sterilized when they were incubated with TiO2/Pt particles under metal halide lamp irradiation for 60–120 min.
NOTES AND CORRESPONDENCE Multidecadal Variability in North Atlantic Tropical Cyclone Activity

Recent increases in Atlantic basin tropical cyclone activity since 1995 and the associated destructive U.S. landfall events in 2004 and 2005 have generated considerable interest into why there has been such a sharp upturn. Natural variability, human-induced global warming, or a combination of both factors, have been suggested. Several previous studies have discussed observed multidecadal variability in the North Atlantic over 25‐40-yr time scales. This study, using data from 1878 to the present, creates a metric based on far North Atlantic sea surface temperature anomalies and basinwide North Atlantic sea level pressure anomalies that shows remarkable agreement with observed multidecadal variability in both Atlantic basin tropical cyclone activity and in U.S. landfall frequency.
Annual Postdispersal Weed Seed Predation in Contrasting Field Environments

Abstract Interest in weed seed predation as an ecological weed management tactic has led to a growing number of investigations of agronomic and environmental effects on predation rates. Whereas the measurements in most of these studies have taken place at very short timescales, from days to weeks, measurements at longer timescales (from several months to a year) have greater relevance to the demographic impact of weed seed predation and potential contributions from this process to ecological weed management. Our aim was to quantify the impact of crop phase, within a corn–soybean–wheat crop sequence, on quarterly and annual seed predation rates of giant foxtail, giant ragweed, and velvetleaf. The study took place in areas of the northern U.S. Corn Belt contrasting in dominant land use: Savoy, IL (2005–2007), where corn and soybean production predominates, and East Lansing, MI (2005–2008), where crop production occurs within an old field/forest landscape matrix. Mean annual rates of weed seed predation by the combined action of invertebrate and vertebrate predators were 31 ± 1.6% for giant ragweed, 37 ± 1.4% for velvetleaf, and 53 ± 1.4% for giant foxtail. Crop phase had negligible effects upon long-term seed predation rates, accounting for less than 2% of observed variation. Weed species and site-year, in contrast, contributed 35% and 40%, respectively, of the variation in cumulative annual seed predation. These results are consistent with the spatial variability in best management practices seen at spatial scales greater than the county level: weed seed predation appears to be an inherently site-specific phenomenon. New developments in managing weed seed predation as an ecosystem service are therefore likely to have local recommendation domains or to be driven by stochastic annual variation related to weather or granivore demography. Nomenclature: Giant foxtai, Setaria faberi Herrm. ; giant ragweed, Ambrosia trifida L. ; velvet leaf, Abutilon theophrasti Medik. ; corn, Zea mays L. ; red clover, Trifolium pratense L. ; soybean, Glycine max (L.) Merr. ; wheat, Triticum aestivum L.
Cardioprotective effects and antioxidant status of Andrographis paniculata in isoproterenol-induced myocardial infarction in rats

Background: Myocardial infarction has been regarded as one of the fastest killer diseases of modern-day man. Aim: The protective effect of Andrographis paniculata on isoproterenol (ISO)-induced myocardial infarction in rats was investigated. Setting: The study was carried out in a laboratory setting. Methods: Animals were randomly divided into six groups of seven animals per group, and the treatment was as follows: normal control received normal saline for 9 days, isoproterenol group; three extract-treated groups in pre-treatment phase and an extract-treated group in post-treatment phase. The doses were given at 100, 200 and 400 mg/kg body weight for pre-treatment phase respectively while 200 mg/kg dose was given to the post-treatment phase group. Blood and heart tissues were collected for biochemical assays, haematological and histological analyses. Results: Myocardial infarction was recorded in ISO group but was corrected by the extracts in both pre-treatment and post-treatment phases. The ISO group experienced a significant decrease in antioxidant parameters, whereas the extract at all doses caused a significant increase in the activities of in these parameters. The extract caused a significant decrease in malondialdehyde content and hydrogen peroxide generation, whereas reverse was the case for the ISO group. Although no significant histopathological changes were recorded for the extract, the ISO group showed marked histopathological changes. ISO caused higher expressions of cardiac C-reactive protein (CRP) and CTnI and decreased the expressions of IL-10β; but this was the opposite for the extract. Conclusion: The ethanol leaf extract of A. paniculata significantly exhibits cardioprotective effects.
A quantitative assessment for quality of life: The case of metropolitan Ankara, Turkey

Researches on evaluation of Quality of Life (QOL) gained much attention in quantitative studies and on urban areas especially since recent years. In this study two quantitative methods, namely AHP (Analytic Hierarchy Process) and ELECTRE II (Elimination Et Choix Traduisant la Realite - Elimination and Choice Translating Reality) are used to evaluate QOL. QOL was determined, compared and ranked for eight counties in metropolitan Ankara Metropolitan for the purpose of providing a database for local governments, decision makers and planners involved in policy making, as well as to construct a base for comparative analysis for different urban areas. Different weights were assigned to indicators in two experiments for the eight counties of Ankara during the QOL evaluation process. Result values showed great disparities between the counties in terms of QOL. This information is important especially in revealing problems and for the allocation of scarce resources. Determination of trends over time and awareness of changing conditions and priorities should also be considered as factors for further studies. The study also shows that both AHP and ELECTRE II method can be applied in QOL assessment and ranking.
Indirect Optimal Control of a Qubit

An indirect optimization scheme for the dynamic control of open quantum system is presented. It is demonstrated at the example of a spin 1/2 system which strongly couples to a bath of phonons. It reveals the possibility of control of the effective system-bath coupling, provided that the system is addressed in the quantum regime. The method is compared to direct algorithms, such as the genetic algorithm.
Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach

Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload on the base station and reduce the processing delay during the peak time. The computation tasks can be offloaded from the base station to vehicular fog nodes by leveraging the under-utilized computation resources of nearby vehicles. However, the wide-area deployment of VFC still confronts several critical challenges, such as the lack of efficient incentive and task assignment mechanisms. In this paper, we address the above challenges and provide a solution to minimize the network delay from a contract-matching integration perspective. First, we propose an efficient incentive mechanism based on contract theoretical modeling. The contract is tailored for the unique characteristic of each vehicle type to maximize the expected utility of the base station. Next, we transform the task assignment problem into a two-sided matching problem between vehicles and user equipment. The formulated problem is solved by a pricing-based stable matching algorithm, which iteratively carries out the “propose” and “price-rising” procedures to derive a stable matching based on the dynamically updated preference lists. Finally, numerical results demonstrate that significant performance improvement can be achieved by the proposed scheme.
Scalable block processing algorithms

Tremendous amounts of data are processed by relatively small and cheap processors nowadays. Consider the radio waves arriving at a cell phone’s antenna and the light intensities on a DVD player’s lens. These are digitized into a stream of bits, which is then filtered, demodulated and decoded into an clear audio or video stream fit for the human senses. My research is about these so-called stream processing systems, i.e., systems that perform relatively simple computations on a large stream of data. Research into these systems is necessary because their data rates have been growing at a faster rate than the speed of our processors. So, if this trend continues we will face a shortage of processing power. The solution to this problem is parallelism. By using multiple processing elements it is possible to achieve the same data rate, or throughput, as one very fast processor. Ideally the throughput obtained in this manner is proportional to the number of processing elements, i.e., the throughput scales linearly with the amount of hardware used. Linear scalability makes it possible to avoid the shortage of processing power; it makes it possible to achieve a higher throughput by simply using more, instead of faster, hardware. Is it possible to achieve linear scalability in every case? Amdahl’s law, or the law of diminishing returns, seems to indicate that linear scalability is not possible for systems in which even a small fraction of the computation is sequential. This seems to indicate that it is impossible to obtain linear scalability for every stream processing system, since many of them contain some kind of sequential computation, consider recursive filters or Viterbi decoders for example. It turns out, however, that there is actually no theoretical limit on the throughput of any stream processing system. It is possible to obtain any throughput by using block processing algorithms. Block processing algorithms process, as their name implies, blocks of data instead of single data elements. A block processing algorithm achieves linear scalability by balancing, in the correct manner, the block size, the computation time per block and the number of processing elements needed for implementation. Existing and new methods for devising such algorithms are described in this thesis. The few existing methods with linear scalability produce algorithms that have to be implemented as dedicated hardware. The new ones, however, are also suited for implementation on SIMD processors. In this thesis I present the theory and design methods required to design a block processing algorithm with linear scalability for any stream processing system. Additionally, I show how these methods can benefit the implementation of various specific systems like the moving sum, recursive filters and rank order filters. All of these can be implemented on a SIMD processor, like the NXP Embedded Vector Processor (EVP), such that the throughput scales linearly with the number of processing elements.
Implantable Cardioverter-Defibrillator

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Widely Linear Complex-Valued Diffusion Subband Adaptive Filter Algorithm

The adaptive algorithms applied to distributed networks are usually real-valued diffusion subband adaptive filter algorithms. However, it cannot be used for processing the complex-valued signals. In this paper, a novel augmented complex-valued diffusion normalized subband adaptive filter (D-ACNSAF) algorithm is proposed for distributed estimation over networks. In order to deal with the noncircular complex-valued signals, the D-ACNSAF algorithm uses the widely linear model for a diffusion network. Due to the second-order statistical properties of signal, the D-ACNSAF algorithm can process the circular and non-circular complex-valued signals simultaneously. Moreover, the stability and mean-square steady-state analysis of the proposed algorithm are derived based on the spatial–temporal energy conservation principle. Computer simulation experiments on complex-valued system identification and prediction show that the proposed algorithm has better performance (lower mean-square deviation and faster convergence rate) than diffusion complex least-mean-square and diffusion augmented complex least-mean-square algorithms. And the simulation results are consistent with the analysis results.