Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced CO2 concentrations change the structure of Antarctic marine microbial communities

The impacts of anthropogenic enhancement of the partial pressure of carbon dioxide (pCO2) on marine organisms remain unclear, especially in Antarctic waters, which are predicted to be amongst the earliest and most severely affected by the consequent changes in ocean chemistry. Marine microbes are the base of the Antarctic food chain, and the nature of their response to elevated pCO2 is important as they are key determinants of the biogeochemical cycles that affect global climate. We studied the response of a natural community of Antarctic marine microbes from near-shore waters off Davis Station, Antarctica, to pCO2 ranging from the concentration in the water column at the time the experiment began (ambient, 84 μatm) to that predicted by the year 2300 (2423 μatm) using 6 gas-tight, environmentally controlled tanks (minicosms; 650 l) to which CO2-saturated seawater was added. The microbial community showed little difference between 84 and 643 μatm CO2 (0.2 to 1.7 times present), indicating that they can tolerate the large seasonal range in pCO2 in Antarctic coastal waters. Concentrations ≥1281 μatm reduced the accumulation rate of chlorophyll and particulate carbon, changed the microbial community, and enhanced the relative abundance of small phytoplankton. If our results are indicative of the future responses of Antarctic marine microbes, elevated CO2 could profoundly affect the structure and function of the Antarctic food web by reducing the availability of food for higher trophic levels and decreasing the efficiency of the biological pump.
Morphological Observation and Pollen Viability of Dwarf Peony

Pollen morphology of dwarf peony and the effects of different cultural media on pollen germination and pollen tube elongation were evaluated.The results indicated that the pollen germinating percentage was consistent with the proportion of prolate pollens.Culture media with different concentrations of sucrose and boric had good effects on the pollen germination.The pollen germinating percentage reached the highest after incubated on the media supplemented with 9% sucrose and 0.045% boric acid.Low concentrations(1×10-5-1×10-3 mol/L) of Ca2+ had good effect on pollen tube elongation,while high concentrations(1×10-2-1×10-1 mol/L) inhibited them.The most suitable concentration of Ca2+ to promote pollen tube elongation was 1×10-3 mol/L in the culture medium.Low concentration(0.1×10-3 mol/L) Mg2+ had good effect on pollen tube elongation,while high concentration(0.2×10-3-1.8×10-3 mol/L) Mg2+ exhibited inhibited effects.The most suitable concentration of Mg2+ to promote pollen tube elongation was 0.1×10-3 mol/L in the culture medium.
Prediction of Priority and Severity of Bug Report using Deep Learning Techniques

: The development of software project includes many phases. Each phase has its own importance. Software maintenance is essential phase of software development. To improve software reliability, software defect prediction is applied to the process of software maintenance to identify potential bugs. If we categories, the bugs based on severity and priority will help in assigning the bugs to developer. In this paper, we have presented review on the different types of machine learning algorithm, Information retrieval-based approach, emotional based approaches for bug report analysis and proposed the method for predicting the severity and priority of bug report using deep learning and machine learning techniques.
Effect of Extreme Temperatures on the Control of Azuki Bean Beetle,Callosobruchus chinensis L. (Coleoptera: Bruchidae) and Quality of Mungbean Seed

Azuki bean beetle,Callosobruchus chinensis L. (Coleoptera: Bruchidae) is the most serious pest in stored mungbean [Vigna radiata(L.) Wilczek]. The application of chemical pesticides on grain storage over the years has led to a number of problems,including the development of insecticide resistance in pests and grain contamination.Extreme temperature may provide potential alternative for the control of this insect in storage.So the temperature tolerance of this pest at different stages was tested in stored mungbean.Both the cold tolerance and heat tolerance of pupa and larva were stronger than adult and egg.Pupa was the best low temperature tolerant stage.All stages revealed 100% mortality after 256 h of treatment at-5 ℃. At-10 ℃,all eggs,larvae and pupae were 100% mortality within 32 h,and adults with in 8 h.All stages had 100% mortality within 4 h if treated at-20 ℃. Pupa was the best high temperature tolerant stage.All stages showed 100% mortality after 32 h at 45 ℃. At 50 ℃,100% mortality was achieved,only in 4 h.Moreover,extreme temperature had no significant effect on the vitality rate and germination rate of mungbean seeds.Controlling insects with extreme temperature was effective and didn’t impair the quality of mungbean seeds,thus had important application value on food safety and green grain storage.
BUSINESS VALUE OF INFORMATION TECHNOLOGY (BVIT): EXPLORING ATTAINED AND SUSTAINED BVIT

The dependent variable BVIT (business value of information technology) has been a point of significant debate among IT researchers and has proved to be difficult to operationalize [Wade and Hulland 2004]. Past IT research which was concentrated on conceptualizing or measuring BVIT, paid little attention to the multifarious perspectives of BVIT, both from the time-series aspect as well as from the multi-discipline nature of BVIT existence. Practically, IT researchers have tended to construct BVIT from RBV (resource-based view) elements, which cannot cover its broad nature, or to adopt a relatively narrow definition, which usually uses specific BVIT proxy measurements as growth rate, profitability or perceived corporate performance. This paper defines and explores two new major sub-variables for BVIT, Attained (short-term) BVIT and Sustained (long-term) BVIT, constructed on the fundamental theory of RBV and connected to the groundwork of SAM (strategic alignment model). Attained-BVIT can be originated in an ex-ante position to the firm's perceived performance and given competition, in which case IT investments can influence assets utilization, improve efficiencies, enhance short term-duration of competitiveness and reinforce endogenous firm manageability. Sustained-BVIT can be originated in an ex-post position to the firm's actual performance and evolving competition, in which case IT investments can leverage resources to form unique advantages, improve firm effectiveness, enhance long term-duration of competitiveness above IAE (industry average earnings), and can enrich the firm agility to cope with exogenous dynamic competitive forces.
Towards Next Generation Malware Collection and Analysis

—The fast paced evolution of malware has demonstrated severe limitations of traditional collection and analysis concepts. However, a majority of the anti-malware industry still relies on such ineffective concepts and invests much effort into temporarily ﬁxing most obvious shortcomings. Ultimately ﬁxing outdated concepts is insufﬁcient for combating highly sophisticated future malicious software, thus new approaches are required. One such approach is AWESOME, a novel integrated honeypot-based malware collection and analysis framework. The goal of our collection and analysis system is retrieval of internal malware logic information for providing sufﬁcient emulation of protocols and subsequently network resources in real time. If protocol emulation components are trained sufﬁciently, a larger setup could even allow for malware analysis in an isolated environment, thus offering side-effect free analysis and a better understanding of current and emerging malware. In this paper, we present in-depth information on this concept as well as ﬁrst practical results and a proof of concept, indicating the feasibility of our approach. We describe in detail many of the components of AWESOME and also depict how protocol detection and emulation is conducted.
User Displacement Estimation in Indoor Environments with Smartphone using Runge-Kutta Method

Estimating user position in indoor environments relative to the indoor space is a challenging problem. Especially when it must be obtained without infrastructure or any added costs to install the system. User displacement estimation in Indoor environments with smartphone using Runge-Kutta method presents efficient method using self-contained inertial sensors with no additional infrastructure to solve this problem. The accelerometer, the rotation sensor and the magnetometer sensor are three main sensors used in this method. The algorithm derives the user position with Runge-Kutta method using inertial data collected from the user smartphone while the user is in motion. The magnetometer data is used to self-correct the any existing noise in the user displacement. This method was experimented for various user motions like walking, wheelchair and driving. The results demonstrate that accumulated error rate and heading error rate were significantly reduced.
DEVELOPMENT OF HIGH PERFORMANCE ANION EXCHANGE MEMBRANES BY CHEMICAL MODIFICATION OF POLYVINYL ALCOHOL FOR ELECTROCHEMICAL DEVICES

There is widespread concern over the use of fossil fuels and other non-renewable energy resources due to the global environmental problems and also due to the fact that these resources are depleting at a fast rate. Hence the development of efficient energy storage/conversion devices like rechargeable batteries and fuel cells for the harvesting of renewable energy like solar and wind energy have received considerable attention in the recent years [1–8]. Ion-exchange membranes (IEMs) serve as a major component of these electrochemical devices. High ionic conductivity, excellent chemical stability and mechanical strength of the membranes are essential for ensuring sustainable and durable operation of these electrochemical devices. Several efforts have been made for the development of anion-exchange membranes due to potential advantages that hold over currently existing cation-exchange membranes [9]. Currently used anion-exchange membranes are based on poly(arylene-ether sulfone) [10], polyphenylene oxide [11], polyphenylene [5] polybenzimidazoles [12–14], polyethylene [15], polyvinylidene fluoride (PVDF) [16], ethylene–tetrafluoroethylene (ETFE) [3], polyether ether ketone(PEEK) [17], polysulfones [18], poly(arylene ether) and poly(ether imide) [10,17,19–22]. Commonly, AEMs are synthesized via chloro-methylation of the polymers and subsequent exposure to trimethylamine (TMA) to form the quaternary ammonium (QA) head-group [11]. But QA group is prone to Hoffmann degradation reaction in strong basic conditions and this reduces the long term performance of these membranes.
Polymorphisms associated with the number of live-born piglets in sows infected with the PRRS virus in southern Sonora Mexico

The porcine reproductive and respiratory syndrome (PRRS) is a viral disease that decreases the reproductive performance in breeding sows and leads to economic losses to the swine industry. The objective of the present study was to identify single nucleotide polymorphisms (SNP) associated to the number of live-born piglets in the first (LBP1) and second birth (LBP2) in breeding sows exposed to PRRS virus. The study included 100 pregnant females of the Landrace(¾)/ Yorkshire(¼) line, 75 of which were infected with the PRRS virus and 25 were free of PRRS. Individual blood samples (6-8 drops) were obtained and spotted onto FTA cards and subsequently processed for DNA extraction, which was genotyped using a 10,000 SNP chip for genomic profile. Resulting genotypes were analyzed using a multi-locus mixed model that detected three SNP associated to LBP1 and five SNP associated to LBP2 ( P< 0.001). These eight SNP were validated using an associative mixed effects model which included the terms genotype and age of dam as fixed effects, and sire as random effect. Allele substitution effects were estimated using the same model including the term genotype as covariate. The SNP rs81276080, rs81334603 and rs80947173 were associated to LBP1 ( P< 0.001), whereas the SNP rs81364943, rs80859829, rs80895640, rs80893794 and rs81245908 were associated to LBP2 ( P< 0.001). Only two SNP were in functional chromosomal regions and the remainder SNP were within an intergenic position. In conclusion, these results suggest the existence of gene variants associated with the reproductive performance of sows infected with the PRRS virus.
The New Method for Blood Vessel Segmentation and Optic Disc Detection

— Analysis of retinal blood vessels (vasculature) from the fundus images has been widely used by the medical community for diagnosing complications due to hypertension, arteriosclerosis, cardiovascular disease, glaucoma, stroke, and diabetic retinopathy (DR). Automated blood vessel segmentation systems can be useful in determining variations in the blood vessels based on the blood vessel branching patterns, blood vessel width, tortuosity, and blood vessel density as the pathology progresses. First, the number of pixels under classification is significantly reduced by eliminating the major blood vessels that are detected as the regions common to threshold versions of high pass filtered image and morphologically reconstructed negative fundus image is passed through top hat process. The image is then processed using the Gaussian and Gabor derivatives. Then the extraction of optic disc is mainly based on mathematical morphology along with principal component analysis (PCA). It makes use of different functions such as watershed transformation and Hough transform to detect the optic disc.
Global studies in the context of modern scientific knowledge

This article discusses some general issues related to the definition of globalism as a special branch of science, its subject, status, terminology, the situation in the modern sciences. The concept "globalization" is included in a turn and is widely adopted in connection with discussion among scientists, politicians, journalists of crisis of 1997-1999 of the XX century, discussions about prospects of the world and the certain countries. For the first time the term was used in 1967 for designation bigger, than before depth of the international integration. [Kolosova Olga Yurevna. Global studies in the context of modern scientific knowledge. Life Sci J 2014;11(7s):298-301] (ISSN:1097-8135). http://www.lifesciencesite. com. 62
Recent unconventional feedstuffs for economic poultry production in India: A review

Poultry industry is the fastest growing sector in Indian agriculture. Poultry feed accounts-58% of total feed market in India. Current annual growth rate of poultry and agriculture sector are around 8 and 1.8% respectively in the country. Overall growth in human, livestock and poultry populations has outpaced the growth in cereals production leading to severe feed shortages and consequent rise in feed cost. Feed costs are primarily driven by the cost of protein sources. Maize and soybean meal are most commonly used conventional feed ingredients in poultry diets. Maize at the inclusion level of 55%-65% and soybean meal at the inclusion level of 25%-30% based diets mostly fed to poultry. Their cost and availability determines the cost of feed. As there is scarcity of conventional feed ingredients at reasonable price, there is need to utilize locally available alternate feed sources. Use of alternate feed ingredients or unconventional feeds based on their price, availability, incriminating factors and nutritive value. Thus, there is need for identifying, evaluating locally available alternative feed resources and augmenting their feeding values for economical and sustainable poultry production.
DISTRIBUTION SYSTEM PLANNING USING GENETIC ALGORITHM

Optimal configuration of a distribution system implies topology of the network with adequate conductor cross sections (power line sizes), and active and the reactive powers of source nodes which will simultaneously optimize several objective functions. At the same time all technical constraints must be satisfied like: voltage level limitations, radiality of the network, allowable continuous current limitations, as well as the limitations of the power delivered by the source nodes. The method of multi-objective optimization, as used in this work, is based on a Genetic algorithm and the Pareto principle of optimality. The obtained results verify the applicability of the proposed algorithm for a wide-range of distribution system planning problems.
State educational agencies in an uncertain environment: Understanding state provided networks of English Language Arts curricular resources

Rapid adoption of the Common Core State Standards (CCSS), the Race to the Top (RTTT) competition, and backlash around these policies created widespread uncertainty among state educational agencies (SEAs). SEAs may have not had a clear direction about how to support standards implementation in a new context, and therefore, may have looked to their professional networks, their geographic neighbors or other highly regarded SEAs, or other sources for information and resources to guide their decisions about where to send teachers for information about standards. Drawing on institutional theory (Meyer & Rowan, 1977) and isomorphism specifically (DiMaggio & Powell, 1983), we posit that coercive forces (primarily due to RTTT application and CCSS status) as compared to mimetic and normative forces influenced the organizations to which SEAs turn for curriculum materials. Using Multiple Regression Quadratic Assignment Procedure and a data set of over 2,000 state-provided resources for secondary English Language Arts teachers from all 50 states and Washington, D.C., we indeed found that coercive forces had a relationship with shared organizational ties, demonstrating that RTTT application and CCSS adoption influenced resource provision.
Lung Cancer Detection using CT Scans using Deep Learning

: Cancer is one of the most dangerous diseases in the world that affects all people, irrespective of age or gender. Lung cancer is the second most common type of cancer and it has a high mortality rate. This makes the study of lung cancer eminently crucial. Early detection would facilitate in saving a large number of lives. Though CT scans are a powerful imaging technique, it is difficult for radiologists to locate and identify cancerous tumors as it is a very time and attention consuming process. It also requires knowledge and skills of a particular subspecialty of radiology. So, we can say the diagnosis will solely depend on the expertise of the radiologist. The use of computer aided systems provide radiologists with assistance thus accelerating this diagnosis process. By applying powerful deep detection models in computer vision, we can detect the presence of cancerous lung nodules in CT scans. The proposed method comprises a classification network that classifies the input CT scan data into two classes: benign and malignant. Here we have both modified a pre-existing network and built a new network from scratch to classify the CT images. The main focus being the development of a new network that can give better results in classification of the images.
Dynamically reconfiguring software microbenchmarks: reducing execution time without sacrificing result quality

Executing software microbenchmarks, a form of small-scale performance tests predominantly used for libraries and frameworks, is a costly endeavor. Full benchmark suites take up to multiple hours or days to execute, rendering frequent checks, e.g., as part of continuous integration (CI), infeasible. However, altering benchmark configurations to reduce execution time without considering the impact on result quality can lead to benchmark results that are not representative of the software’s true performance. We propose the first technique to dynamically stop software microbenchmark executions when their results are sufficiently stable. Our approach implements three statistical stoppage criteria and is capable of reducing Java Microbenchmark Harness (JMH) suite execution times by 48.4% to 86.0%. At the same time it retains the same result quality for 78.8% to 87.6% of the benchmarks, compared to executing the suite for the default duration. The proposed approach does not require developers to manually craft custom benchmark configurations; instead, it provides automated mechanisms for dynamic reconfiguration. Hence, making dynamic reconfiguration highly effective and efficient, potentially paving the way to inclusion of JMH microbenchmarks in CI.
Hybrid heterojunction solar cells based on single‐walled carbon nanotubes and amorphous silicon thin films

Hybrid heterojunction solar cells based on silicon and single‐walled carbon nanotube (SWCNT) thin films have a simple structure and their manufacture employ simple low‐temperature processes. Moreover, their progress has been rapid during the last decade, wherein the efficiency of heterojunction solar cells combining hydrogenated amorphous silicon (a‐Si:H) and SWCNTs thin film has increased from 0.03% to 8.80%. Here, we present a comprehensive overview of the state‐of‐the‐art on SWCNTs/a‐Si:H heterojunction solar cells. In addition to a comprehensive technology review, important special features such as adhesion of SWCNT film to a‐Si:H, the interface between SWCNT and a‐Si:H, and their influence on the performance of the heterojunctions are included. Future paths for improving the performance of such solar cells are also suggested. Finally, key challenges and trends for further research and development of SWCNTs/amorphous silicon heterojunction solar cells are discussed.
Effects of Divided Policy on the Value of Selected Quoted Banks in Nigeria

Despite the numerous studies that have been done, dividend policy remains an unresolved issue in corporate finance. Corporate management in making capital structure decision of paying out dividends to the shareholders has always faced the dilemma of whether; the payout criterion has effect on the value of the firm. Several theories have been proposed to explain the reliance of dividend policy and whether it affects firm value, but there has not been a universal agreement. The aim of the paper is to analyse the effects of dividend policy on firm value for selected Nigerian Quoted banks between 2007 and 2017 as well as to determine the relationship among the identified variables that affect the value of firms in Nigeria.The research used time series data generated from secondary sources through the publications of Nigeria Stock Exchange, financial statement of the banks under review, and other related finance journals in an attempt to establish the relationship between the dividend policies and bank value in Nigeria. Data were sourced from three randomly selected banks quoted in Nigerian stock Exchange, namely; First Bank of Nigeria Plc, Eco bank Plc, and Access Bank plc. Accordingly, correlation and regression analysis were used to analyse the data. Findings from the study revealed, among other things, that dividend policy exerts a significant influence on the value of the banks between the period specified. Based on this conclusion, the study recommendsthat an optimal dividend policy that maintains an appropriate balance between dividend earnings and retained earnings should be undertaken to enhance the financial health of the banks. Also,that corporate bodies should pay attention to dividend payout in order to maintain and sustain their shareholders and attract prospective investors;