Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying Areas of Chemical Signal Production in the Red-Backed Salamander, Plethodon cinereus

Red-backed salamanders, Plethodon cinereus, use chemical signals to maintain territories. This study isolated anatomical loci in which territorial markers (pheromones) may be produced by males. Males were tested in circular chambers using swabs rubbed over suspected pheromone-producing locations of other males. Swabs rubbed over serous glands located on the midventral surface of the tail base and on the shoulder elicited exploratory behavior from males, as did swabs rubbed over fecal pellets, fecal material from the colon, and secretory products from the collecting (urinary) ducts. Swabs rubbed over the chin and middorsal tail base (areas thought to contain glands involved in the production of courtship pheromones) did not elicit a significant response. These results suggest that males of Plethodon cinereus may have several secretory sources that produce chemical signals (pheromones) used in intraspecific communication.
A revised Sorensen model: Simulating glycemic and insulinemic response to oral and intra-venous glucose load

In 1978, Thomas J. Sorensen defended a thesis in chemical engineering at the University of California, Berkeley, where he proposed an extensive model of glucose-insulin control, model which was thereafter widely employed for virtual patient simulation. The original model, and even more so its subsequent implementations by other Authors, presented however a few imprecisions in reporting the correct model equations and parameter values. The goal of the present work is to revise the original Sorensen’s model, to clearly summarize its defining equations, to supplement it with a missing gastrio-intestinal glucose absorption and to make an implementation of the revised model available on-line to the scientific community.
Centring knowledge democracy within policy-making for sustainability and resilience: A discussion of the Kenyan drylands

Culture, environment and, therefore, knowledge of socioeconomic constructs are intricately interwoven. Over the past decade or two, pastoralists without formal education in Kenyan drylands have increasingly found themselves on the receiving end of community empowerment trainings that lean towards human–wildlife conflict and environmental conservation. Why would research entities set aside mega budgets to teach the pastoralist about human–wildlife conflict? A pastoralist who has long roamed drylands with his livestock grazing alongside elephants and lions, and whose major life transition ceremonies, celebrations, songs, riddles, proverbs, sayings, poetry and jokes fundamentally feature wildlife. What makes these trainings in ‘imparting knowledge’ superior to the ‘indigenous knowledge’ already in the custody of the Borana or the Turkana or the Rendile? This article explores the relevance of community-based knowledges in addressing sustainable development and climate resilience, as articulated by the Sustainable Development Goals (SDGs). The specific setting for this discussion is the Kenyan drylands, which are central to the achievement of the SDG agenda given that they constitute 84 percent of Kenya’s total land surface. They also host up to 75 percent of Kenya’s wildlife population, account for more than 80 percent of the country’s eco-tourism interests and support about 9.9 million Kenyans, or approximately 34 percent of the Kenyan population. Today, the drylands are impoverished, deficient for both humans and nature. Their vulnerability to disasters is amplified, while their resilience to shocks is greatly weakened, a situation made worse by climate change. To understand the importance of community-based knowledges within policy making for sustainability and resilience, this article examines in detail epistemological, social, historical, political and environmental factors converging on the Kenyan drylands, as well as the opportunity to address this complexity that the SDGs represent.
Erratum: Conclusions and Future Developments

In this thesis, we investigate outflow launching from resistive and dynamo active disks. Resistivity is important for disk evolution and jet launching because it enhances accretion towards the black hole in increase the mass load of the outflows and allows for a physical mechanism for reconnection. We implemented magnetic diffusivity, or resistivity in the GRMHD code HARM3D, as well as turbulent dynamo, effectively changing the physics under which the code operates. The implementation follows the mean–field theory of turbulence based resistivity and dynamo. we tested the performance of the code and applied it into simulation of thin disk around black holes. In this chapter, we will summarize the major results presented in the previous section and we will also refer to future further development of the code and further scientific projects that can be investigated.
Does Eurozone Membership Strengthen the Significance of Fiscal Instruments

This paper investigates the relationship between fiscal instruments (such as numerical fiscal rules, independent fiscal institutions and medium-term budgetary frameworks) and fiscal performance of EU countries. An empirical analysis using panel data estimation method reveals a statistically significant and positive impact of the use of fiscal instruments on the fiscal stance. The results obtained warrant the conclusion that the use of multiannual budgetary framework has the strongest (among all fiscal instruments) impact on the budget balance. In addition, there is no clear evidence that an EU country's eurozone membership guarantees better fiscal performance and stronger fiscal instruments. This conclusion also proves justified upon excluding the impact of fiscal reform implemented in those EU member states that joined the eurozone in the period under analysis.
Impacts upon Non-Performing Loans in Commercial Banks: A Vietnamese Case Study

Nguyen Kim Quoc Trunga*, Bui Quang Hungb, Nguyen Thanh Bec, aFaculty of Accounting – Auditing, University of Finance – Marketing, Vietnam and PhD candidate at Ho Chi Minh City University of Technology, bCollege of Statistics (COS) II, Vietnam and PhD candidate at Ho Chi Minh City University of Technology, cHo Chi Minh Tax Department and PhD candidate at Ho Chi Minh City University of Technology, Email: ankq.trung@ufm.edu. vn, bkingsnake2310@gmail.com, cbenguyen.01041975@gmail.com
Design of a Rectangular Microstrip Patch Antenna with Edge Feeding Technique for Marine Applications

This proposed method serves purpose of designing a rectangular patch antenna of Micro-strip with 5.2 GHZ as frequency of resonance for marine applications. Design is performed in ANSYS High Frequency Structure Simulator (HFSS). Patch antenna of rectangular is created with FR4epoxy substrate. Reflection coefficient for this design is obtained in 5.2GHz frequency range. The excitation given to this patch antenna is Edge Feed with a fixed length and width. The performance parameters such as S-parameter, Gain, VSWR, directivity of the antenna is obtained and analyzed for the marine applications.
Spam Zombie Detection and Blocking with Efficient Content Filtering and User Feedback Mechanism

The spam zombie detection and blocking with the efficient content filtering and user feedback mechanism is one of the online detection techniques. The system identifies the spam messages and blocks the sender of such messages. Zombie is single compromised machine within the network. The network of such compromised systems is called as a botnet. This system is based on the functionality of SPOT monitoring system which continuously monitors the outgoing messages within the network. The SPOT monitoring system makes the use of the strong statistical tool known as a Sequential Probability Ratio Test. Keywords—: bot, botnet, content filtering, sequential probability ratio test, spam, spam detection, zombie, Zombie
Examination of Feature Selection Methods and an Application

: With the improvements in the processing capabilities of machines, the use of artificial intelligence (AI), also called machine intelligence, is becoming widespread for processes that are thought to require "intelligence". Machine learning (ML), one of the sub-topics of artificial intelligence, which is frequently mentioned recently, continues its development. Feature selection in machine learning process is of serious importance for various reasons such as generalization performance, working time requirements, constraints related to the problem, cost and interpretation problems. In addition, feature selection methods have become more important especially for the purposes of creating simpler and more understandable models and increasing the predictive performance for the big data structures that are frequently encountered today. In this study, the most commonly used feature selection methods were examined and it was aimed to provide information to researchers and academicians who want to work on this subject by getting review literature. The developments, advantages and disadvantages of feature selection from past to present have been examined. In addition, an application study was carried out to determine the variables (features) affecting the incontinence status of children by using machine learning techniques on pediatric urology data, estimation of urinary incontinence in children, predictive performance and to investigate the effects of some feature selection methods on predictive performance.
InP-based Photodetector bonded on CMOS with Si3N4 interconnect waveguides

We developed an InP-based photodetector which was bonded on a CMOS wafer containing a Si3N4-wiring photonic circuit. The detector fabrication is compatible with wafer scale processing steps, guaranteeing compatibility towards future generation electronic IC processing. Integration technology and experimental results are presented in this paper.
The psychology of task management: The smaller tasks trap

When people are confronted with multiple tasks, how do they decide which task to do first? Normatively, priority should be given to the most efficient task (i.e., the task with the best cost/benefit ratio). However, we hypothesize that people consistently choose to address smaller (involving less work) tasks first, and continue to focus on smaller tasks, even when this strategy emerges as less efficient, a phenomenon we term the “smaller tasks trap”. We also hypothesize that the preference for the smaller tasks is negatively related to individual differences in the tendency for rational thinking. To test these hypotheses, we developed a novel paradigm consisting of an incentive-compatible task management game, in which participants are saddled with multiple tasks and have to decide how to handle them. The results lend weight to the smaller tasks trap and indicate that individual differences in rational thinking predict susceptibility to this trap. That is, participants low in rational thinking preferred to start with a smaller (vs. larger) task and focused more on the smaller tasks regardless of their efficiency. Consequently, their overall performance in the task management game was significantly lower. We discuss the theoretical and practical implications of these findings and suggest possible interventions that may help people improve their task management.
Personality and dislike for inequality:

In this paper we find an individual non-cognitive characteristic that generates heterogeneity on individuals’ taste for equality. This is individuals’ locus of control (LOC), a personality measure that defines individuals as externals or internals depending on individuals’ perception about the role of external (e.g., luck and others) or internal (e.g., effort and own decisions) forces driving their lives. The empirical analysis shows that external individuals are more inequality averse than internal individuals. This relates to the idea that individuals’ degree of tolerance towards inequality depends on the importance they assign to own effort or luck to determine individuals’ outcomes. Even though policy making cannot affect individuals’ personality and despite personality seems to be fairly time persistent, understanding the relationship between LOC and inequality aversion will help us assess the importance of fairness feelings on shaping preferences for equality. The empirical analysis uses the German SOEP, a large representative panel data set for Germany.
Battery Thermal Behavior in Hybrid Energy Storage Unit (Battery / Supercapacitor) for Dynamic Loads

This work consists in studying thermal behavior of classical electrical energy storage (batteries), hybrid (batteries / supercapacitors) and controlled hybrid system. We will use in this study a Lithium-Ion battery, an electrochemical double layer supercapacitor and a variable Load, that corresponds to electrical vehicles dynamic operation, to illustrate the performance of these storage units. Under Matlab / Simulink environment will be treated classical, hybrid followed by controlled hybrid system. The results obtained by simulation confirm the interest of integrating supercapacitors into a battery-based electrical energy storage system. The controllable hybrid storage unit also made it possible to relieve batteries perfectly and to protect them from high temperature level.
Generalisation of Relations Between Quantity Variations Through Arithmetic Sequences in Functional Thinking

Function material is one of the most important materials that must be understood by students. However, most students have difficulty understanding the concept of function. These difficulties will have a significant impact on student learning outcomes if not immediately addressed and solved. Student difficulties about function can be minimised by developing students' functional thinking, starting at an early age. Functional thinking is a type of representational thinking that focuses on the relationship between two (or more) variations of quantities. The purpose of this study is to find out how students think functionally through arithmetic sequences. Research data was collected through test sheets and interviews. The results showed that students' functional thinking worked through arithmetic sequences through several stages of functional thinking components. These include 1) understanding the problem, 2) determining recursive patterns, 3) covariational thinking, and 4) generalising the relationship between quantity variations. The stages are carried out by students sequentially to produce a generalisation of relationships between quantity variations through arithmetic sequences.
Comparison and improvement on the extraction method for chlorophyll a in phytoplankton

The extraction of chlorophyll a from phytoplankton was by freezing-thawing was assessed in this study. Filters containing alga cells were frozen and thawed repeatedly, then were steeped in 90% acetone solution for ~ 20 hours. Compared to the standard rubbing method, the freezing-thawing method had the improvements on small artificial error, high consistency, high accuracy, and operational simplicity. The filteration volume had no significant effect on the results for the mono-species algal cultures (P0.05), but Bur the results for the lake water were significantly affected by filteration volume (P0.01). For the water samples from eutrophic waterbodies, the 100ml water volume was suggested to be filtered.The data analysis showed there was no significant difference between Acetate Fiber Filter, Tiny Aperture Filter and Glass Fiber Filter.
Interactive Design of Noise Protection Walls

The design of noise protection walls alongside an infrastructure asset currently involves long hours of simulation and complex computations. This represents a huge burden in the early design stages, where all information is vague and an emphasis is laid on quick comparisons rather than precise results. This paper presents an interactive noise simulation tool to be used in the early design stages. It expands the Collaborative Design Platform (CDP) and builds upon the Interactive Alignment Plugin presented at the 30th Forum Bauinformatik. The main aim is to enable intuitive and quick evaluation of design variants of positions and dimensions of noise barrier walls. The noise calculation is performed according to the RLS-90 norm which provides simplified formulas for quick estimation of traffic noise on roads. The results of the developed simulation tool were tested with examples provided in the RLS-90 norm and show agreement within 1 % deviation.
Learning to Grasp 3D Objects Using Deep Convolutional Neural Networks

: In this paper the performance of the auto-encoder Generative Grasp Convolutional Neural Network (GGCNN) architecture proposed by Morrison et al. (2018) is evaluated in object classiﬁcation and 3D object grasping tasks. The GGCNN is trained using the Cornell dataset. The output of the encoder part of the network is used as object representation for the object classiﬁcation task. The full architecture is used for the grasping task to identify the most suitable grasp given the orthographic image of an object constructed using a Global Orthographic Object Descriptor (GOOD) from the point cloud. The ModelNet10 and Restaurant-Object datasets were used to study the impacts of the K value(for the Knn algorithm) and bin parameter of the network on classiﬁcation accuracy; resulting in no signiﬁcant diﬀerence in performance across 19 unique conﬁgurations for the ModelNet10 dataset and 18 diﬀerent conﬁgurations for the Restaurant-Object data set. For the object grasping task, a simulation was developed in PyBullet, where a gripper executes the best grasp candidate and the success or failure of the grasp is recorded. A success rate of 83.3% was achieved for total objects grasped, while a total grasping success rate of 47% for all attempted grasps.
Two new Lycoperdon species collected from Korea: L. albiperidium and L . subperlatum spp. nov.

Thirty-four Lycoperdon specimens from Korea were examined with the internal transcribed spacer (ITS) region of ribosomal DNA sequence data. The result of the ITS sequences phylogenetic analysis indicated that the Korean specimens represented nine different species. To confirm the taxonomic position of these species, we conducted an intensive morphological investigation, and additional phylogenetic investigation of the protein coding regions RNA polymerase subunit II (RPB2) and translation elongation factor 1-alpha (TEF1). We discovered two new species ( L. albiperidium and L. subperlatum ) and one ( L. ericaeum ) newly discovered in Korea . Lycoperdon albiperidium is closely related to L. ericaeum based on ITS, RPB2 and TEF1 sequence data, but these species were distinguishable by morphological characteristics, especially the shape of the basidiocarps, the diameter of the eucapillitial threads and the size of the basidospores. Lycoperdon subperlatum is quite similar to the European and American L. perlatum based on morphological characteristics. However, L. subperlatum is clearly distinct from European and American L. perlatum based on ITS, RPB2 and TEF1 sequence data, and somewhat differs from them in macro- and microscopic characteristics. Based on morphological characteristics, L. ericaeum is related to L. subumbrinum and L. lividum but it is distinguishable by the presence of fragile, eucapillitial threads, the diameters of the threads and ITS sequences. Here, we describe four Lycoperdon species collected in Korea.
To Determine the Frequency of Unnecessary Computed Tomography Scan Occuring in a Tertiary Care Hospital

DOI: 10.21276/sjbr.2018. 3.5. 1 Abstract: CT scan is a revolutionized diagnostic imaging modality that allows threedimensional visualization of a region of the body in different planes. Besides its advantages, CT has disadvantages as well. The radiations used in CT scans are ionizing X-ray radiations which increase the risk of cancer progression. The rate of unnecessary CT scans has increased over the past few years which has resulted in increased exposure to the patient and increased healthcare cost as well. The aim of this study was to determine the actual rate of unnecessary CT scans in a tertiary care hospital of our country. The study was conducted on 385 patients in the Aziz Bhatti Shaheed Teaching Hospital, Gujrat in time duration of three months. It was an observational cross-sectional study. Scoring of the results was done by the co-supervisor having an experience of over 15 years. The scoring system was categorized from score 0 to score 2.Score 0 had no pathological finding, score 1 had suspicious finding and score 2 had confirmed pathological finding mentioned in the request form. A total of 385 patients were included in this research 162 females (42.1%) and 223 males(57.9%) with a mean age of 38.2±22.5-year (1-100 years). In this study 147 patients(38.2%) were categorized underscore 0 they were having no pathological finding and their results were normal,25 patients(6.5%) were categorized underscore 1 they had suspicious findings and were considered for follow up scan and the remaining 213(55.3%) patients were categorized underscore 2 they had confirmed pathology. Results concluded that the rate of unnecessary CT scans performed in this country is 38.2% which is considerably high. Unnecessary CT scans can lead to the risk of developing contrast-induced nephropathy (CIN) due to radiation exposure. The high cost of this test may cause a delay in the treatment of the patients.
The Effect of Accounting Information Quality on Investment Efficiency with Auditor Specialisations as Moderating Variables

This paper examines the effect of accounting information quality on investment efficiency with auditor specialisations as moderating variables. This paper uses 88 observations of manufacturing companies listed on the Indonesian Stock Exchange for the years 2014-2016. We analyse the model using the multiple linear regression method. The result finds that companies with high quality accounting information are able to reduce the level of over-investment, indicating a more efficient investment. Further, we find that auditor specialisation and good quality accounting information will be associated with more efficient investment decisions. The results of this study have implications for managers to produce good quality accounting information, as well as hiring auditors who specialise in their industries to be able to produce efficient investment decisions.
Study of Media Effect toward Antimicrobial, Antiplasmodial, Herbicidal Activities and Toxicity of Extract Produced by Acropora dibranchiata-Associated Moraxella Sp. RA15

Article history: Received on: 12/3/2012 Revised on: 13/3/2123 Accepted on:23/23/2222 Available online: 28/09/2012 Marine invertebrate -associated bacteria are one of potential and prolific sources to produce unique and novel structure of bioactive compounds. Unsuitable growth media for cultivation of bacteria result in many bioactive compounds were not produced. Moraxella sp. RA15 was successfully isolated from Acropora dibranchiata. In an attempt to introduce bioactive compounds of Moraxella sp. RA15 was evaluated through various media and bioassays to find out the antimicrobial, antiplasmodial, and herbicidal potency as well as toxicity property. The Moraxella sp. RA15 extract in 1/10ZoBell agar medium showed herbicidal activity, toxicity against brine shrimp and antimicrobial activity against Bacillus subtilis, Pseudomonas aeruginosa, and Staphylococcus aureus. The antiplasmodial activity was only showed by Moraxella sp. RA15 extract produced in 1/10ZoBell broth medium. It can be concluded that medium and culture condition are important factors in bioactive compound production from bacteria.