Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive Analysis of Heterogeneous Data – Techniques & Tools

Data intensive processing and analysis has lead new research avenues to draw the attention of researchers and decision makers in the field of data and information sciences. The exponential rise in variety of data in today’s computerized era is laying new challenges for the society. Nevertheless, there are huge potentials and useful information present in the data. This undiscovered information is one of the most valuable assets for the data intensive scientific real-time applications. It is a vital factor for the efficient outcome and evolving advances in various technical aspects. Yet, a large number of sectors with varied data sources face difficulties with the variety of data. Processing this heterogeneous data is necessary to extract useful information, making it a decisive factor for the better survival of future with automation. Different Machine Learning techniques and tools are studied to perform predictive analysis of the continuous as well as categorical data.
Evaluating Quality Attributes of Four Fresh Fig (Ficus carica L.) Cultivars Harvested at Two Maturity Stages

The effect of two fruit maturity stages on the quality attributes of four fresh fig cultivars was examined, including consumer acceptance and antioxidant capacity. Fig quality attributes such as weight, soluble solids concentration (SSC), titratable acidity (TA), SSC:TA, firmness, antioxidant capacity, and consumer acceptance varied by cultivar. Fig cultivars harvested at the advanced maturity stage ("tree ripe") had lower TA and firmness but higher weight, SSC, and SSC:TA than figs harvested at "commercial maturity. " Fig maturity did not affect antioxidant capacity, but tree ripe figs had higher consumer acceptance than commercial maturity figs. SSC was more highly correlated with consumer acceptance than TA or SSC:TA, but other factors may also be important in controlling this relationship. Cultivars with high SSC and firmness, at a maturity stage high enough to tolerate harvesting and postharvest handling, should be selected to develop the fresh fig industry. Because fig firmness is a concern, changes to packaging should be evaluated to protect the flavor of advanced maturity figs during postharvest handling.
Dual Preference Matrix Collaborative Filtering Algorithm and Its Application in Railway B2BE-commerce Platform

The enterprise users of the B2B e-commerce platform are different from the individual users of B2C, and their behavior has typical features of enterprise. Based on the original user-commodity matrix of collaborative filtering algorithm, the enterprise-category matrix which manifests the features of enterprise users is added to ameliorate and form a dual preference matrix concerning both user-commodity and enterprise-category relationship, thus can be applied to Railway B2BE-commerce platform. The experimental results indicate that the improved dual-preference matrix collaborative filtering algorithm has advantages over the original collaborative filtering algorithm and KNN algorithm in terms of accuracy, recall rate, coverage rate and degree of novelty, effectively solving the problem of cold start and improves the accuracy of recommending commodities towards inactive users by over 10%.
Method of Forming the Static Structure of Social Graphs in the Problem of Modeling Interaction Between Users of Information and Telecommunication Services

The article discusses the basic principles of organizing training for students of the “Information Security” direction in solving the problems of analyzing the interaction between users of information and telecommunication services. The composition of the conditionally real data arrays of the interaction between users of services, the order of their synthesis is described. A feature of the created arrays is the application for the description of background communication events of various statistical data obtained as a result of the interaction of real services users. One of the stages of the synthesis of these arrays is considered, which allows generating a static structure of social graphs corresponding to various services. The method of forming the structure is based on the composition of the construction models of complex networks with various structural parameters: the Watts-Strogatz model is used for the mobile communication service, and the Barabasi-Albert model is used for the social network service. To save the relationship between users in various services, a method for determining the largest common part of social graphs is proposed. This method based on the mutual differentiation of vertices and the allocation of a partial isomorphism of the compared graphs. To reduce the computational complexity of the proposed method, the concept of initial substitution is used, which determines the initial correspondence of two vertices of the analyzed graphs. The method of social groups (“families”) searching for forming the attributes of the vertices based on the Bron-Kerbosh algorithm for finding cliques of a given size in a graph.
Penium amplificatum status nova (Desmidiales, Streptophyta)

From extensive field studies in the Dutch province of Drenthe and comparative literature research it appeared that Penium spirostriolatum var. amplificatum differs from the nominate variety of Penium spirostriolatum not only by its capitate cell ends but also by coarser and more spiralized ridges on the cell wall and by distinctly different ecological demands. Var. amplificatum , found in 23 Drenthian locations, occurred exclusively in samples with pH 5 (up to 7.3). Based on their results the authors propose to raise var. amplificatum to species rank: Penium amplificatum stat. nov .
Miniaturized Wide Stopband Half-Mode SIW Bandpass Filter

Miniaturized four pole Half-mode substrate integrated waveguide (HMSIW) bandpass filter is designed with wide stopband and high skirt characteristics. Due to the absence of even harmonics, HMSIW gives wide stopband behaviour. A quarter wavelength resonator is loaded to the filter. It adds a transmission zero (TZ) where this length equals to quarter wavelength and also adds one reflection zero to the filter. To improve the performance at the lower side of the passband, a halfwavelength resonator is arranged in U-shape around the quarter wavelength resonator. It provides bypass coupling and generates a TZ at the lower side of the passband. A four pole HMSIW bandpass filter is fabricated on RT/Duroid 5880 substrate using normal PCB etching process. The simulated insertion loss, return loss, and fractional bandwidth are 1.64 dB, better than 19 dB and 8.8%, respectively.
Bacterial production in Guanabara Bay (Rio de Janeiro, Brazil) evaluated by ³H-leucine incorporation

The aim of this work was to evaluate the necessary 3H-leucine concentration to estimate bacterial production in Guanabara Bay through saturation curves. A second aim was to collect preliminary data of bacterial production in two distinct sites corresponding to different water qualities: Urca inlet and Governador Island. Saturation curves were made with water samples taken at the main circulation channel of the bay, Paqueta Island, and the two sites mentioned before. The 3H-leucine curves showed similar pattern for all studied areas, indicating the ideal isotope concentration to be 10 nM. Bacterial biomass production ranged from 0.40 to 4.53 µgC L-1 h-1 in Urca and from 3.86 to 73.72 µgC L-1 h-1 in Governador Island indicating the relationship between nutrients and organic matter supply and bacterial productivity. This work is an important reference for studies on trophodynamics, biogeochemical cycles and modelling in Guanabara Bay.
Development of in vitro primary cell culture system from penaeid shrimp, Pellaeus indicus, Penaeus monodon and a sand crab, Emerita asiatica

An in vitro primary cell culture system was developed using eye tissues of white prawn, Penaeus indicus, tissues of eye, eye stalk, and antennae of tiger prawn, P. monodon and antennae of sand crab, Emerita asiatica. The cells were physically disrupted using L-15 medium for passages, after forming monolayer on the culture surface of the vessel. The cells grew better in leibovitz (L-15) medium containing 10% PEG precipitated calf serum at 25°C to 28°C than MEM Eagle with Eagle's and MEM Eagle with Hank's salts. Establishment of cell line from any of the primary cell lines was not successful. More number of passages from primary cell culture of E. asiatica's antennae, was possible compared to primary cell cultures of P. indicus and P. monodon. Sometimes cells originated from antennae of E. asiatica produced monolayer within 2 days. This in vitro cell culture system may provide, a simple and laboratory oriented method for the detection and assay of infectious virus in shrimp hatcheries and industries.
A Machine Learning Based Write Policy for SSD Cache in Cloud Block Storage

Nowadays, SSD cache plays an important role in cloud storage systems. The associated write policy, which enforces an admission control policy regarding filling data into the cache, has a significant impact on the performance of the cache system and the amount of write traffic to SSD caches. Based on our analysis on a typical cloud block storage system, approximately 47.09% writes are write-only, i.e., writes to the blocks which have not been read during a certain time window. Naively writing the write-only data to the SSD cache unnecessarily introduces a large number of harmful writes to the SSD cache without any contribution to cache performance. On the other hand, it is a challenging task to identify and filter out those write-only data in a real-time manner, especially in a cloud environment running changing and diverse workloads.In this paper, to alleviate the above cache problem, we propose an ML-WP, Machine Learning Based Write Policy, which reduces write traffic to SSDs by avoiding writing write-only data. The main challenge in this approach is to identify write-only data in a real-time manner. To realize ML-WP and achieve accurate write-only data identification, we use machine learning methods to classify data into two groups (i.e., write-only and normal data). Based on this classification, the write-only data is directly written to backend storage without being cached. Experimental results show that, compared with the industry widely deployed write-back policy, ML-WP decreases write traffic to SSD cache by 41.52%, while improving the hit ratio by 2.61% and reducing the average read latency by 37.52%.
Natural biological control of aphids (Hemiptera: Aphididae) in a wheat field by parasitoids (Hymenoptera, Aphidiinae) in Medianeira, PR, Brazil.

Aphids constitute one of the main phytosanitary problems in wheat crops in southern Brazil , and are the target of a biological control program with parasitoids implemented in Brazil since the 1970’s. In spite of the initial success quickly achieved, no recent study exists for the west region of the State of Parana that evaluates the current status of aphid biological control; therefore, this was the object of the present work. Weekly surveys were conducted in a commercial wheat crop in Medianeira, PR. The aphids were identified and, when parasitization was verified, they were analyzed until emergence of the parasitoid. The population of aphids did not reach the mean value of 1 insect/tiller, with predominance of Rhopalosiphum padi (53%), followed by Sitobium avenae and R. maidis (19.5%) and Metopolophium dirhodum (8%), which were verified mostly from the wheat elongation stage. The parasitoids were observed starting at the wheat flowering season (about 3 months after planting), and only two species of braconids, Lysiphlebus testaceipes (97.3%) and Diaeretiella rapae (2.7%), were identified, whose population growth followed the aphids population of, keeping the same trend after the number of aphids in the field was reduced.
Genetic diversity among upland cotton genotypes for quality and yield related traits.

Upland cotton, Gossypium hirsutum L, is the world’s leading fibre producing crop and is grown in more than 80 countries of the world (Dutt et al., 2004). It covered an area of 2879 thousand hectares with the production of 13.0 million bales in Pakistan. It contributes raw material to the textile industry, such as cotton lint as an export item, crude oil and cotton seed cake to oil and livestock industry, respectively (Ali, 2009). It accounts for 7.0 percent of value added in agriculture and 1.5 percent of GDP (Anonymous, 2013). Four kinds of cotton are cultivated globally which includes two diploids G. herbaceum and G. arboreum, and two New World tetraploids G. hirsutum and G. barbadense species. Cultivated cotton genotypes have narrow genetic base (Abdukarimov et al., 2003; McCarty et al., 2005). To broaden the genetic base through hybrid breeding program, the genetic divergence among available germplasm is prerequisite. Genetic variation among different cotton genotypes for morphological and fibre quality traits was studied for their improvement (Alishah, 2001; Jian-bian et al., 2004; Jiehua, 1988; Li et al., 2005). Principal component analysis and linkage cluster analysis was accomplished by the researchers to find the similarity among the genotypes for the traits and their placement into different clusters (Brown, 1991; Jian et al., 2006; Qiaoling and Zhe, 2011). Keeping in view, the study was under taken to run a multivariate analysis approaches viz, PCA, LCA along with the heritability estimates on the cotton genotypes, which will enable us to classify the available germplasm into distinct clusters on the basis of their yield and fibre quality attributes. The information thus obtained will be helpful to develop an effective cotton hybrid breeding program.
An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays

In this work, we present a scheme for implementing learning on a digital non-volatile memory (NVM) based hardware accelerator for Spiking Neural Networks (SNNs). Our design estimates across three prominent non-volatile memories - Phase Change Memory (PCM), Resistive RAM (RRAM), and Spin Transfer Torque RAM (STT-RAM) show that the STT-RAM arrays enable at least 2× higher throughput compared to the other two memory technologies. We discuss the design and the signal communication framework through the STT-RAM crossbar array for training and inference in SNNs. Each STT-RAM cell in the array stores a single bit value. Our neurosynaptic computational core consists of the memory crossbar array and its read/write peripheral circuitry and the digital logic for the spiking neurons, weight update computations, spike router, and decoder for incoming spike packets. Our STT-RAM based design shows ~20× higher performance per unit Watt per unit area compared to conventional SRAM based design, making it a promising learning platform for realizing systems with significant area and power limitations.
Remote Monitoring Real Time Air Pollution – IoT Cloud Based

— Air pollution nowadays, is one of the major concerns especially in metropolitan cities, primarily due to pernicious effects on the well-being of the common people, and thus in the long run affecting global economy. Monitoring of air quality started from the traditional ways and has come a long way to the most sophisticated technology being used today. Fresh air is the basic necessity of human being and hence it is becoming important to come up with real time air quality deets by using modern yet affordable technologies. In this paper we are analyzing and studying about the technology which has been used till date in monitoring the air quality index and its efficacy. In the proposed prototype we will be using internet of things (IoT), wireless sensor network and the cost-effective circumambient sensors and an app which will give the real time information about the quality of index at various regions.
Molecular analysis of avian paramyxovirus serotype-1

Avian paramyxovirus serotype-1 (APMV-1) is capable of infecting a wide range of avian species leading to a broad range of clinical signs. Ease of transmission has allowed the virus to spread world-wide with varying degrees of virulence depending on the virus strain and host species. Classification systems have been designed to group isolates based on their genetic composition. The genetic composition of the fusion gene cleavage site plays an important role in virulence. Presence of multiple basic amino acids at the cleavage site allows enzymatic cleavage of the fusion protein enabling virulent viruses to spread systemically. Diagnostic tests, including virus isolation, real-time reverse-transcription polymerase chain reaction and sequencing, are used to characterize the virus and identify virulent strains. Genetic diversity within APMV-1 demonstrates the need for continual monitoring for changes that may arise requiring modifications to the molecular assays to maintain their usefulness for diagnostic testing. Introduction Avian paramyxovirus serotype-1 (APMV-1) is a member of the family Paramyxoviridae and is the causative agent of virulent Newcastle disease (vND) [1,2]. The virus is able to infect all orders of avian species and virulent strains can cause significant clinical signs. Due to the extensive range of susceptible hosts, the virus has been able to establish itself world-wide. Infection by virulent strains has resulted in several panzootics since 1926 [1-3]. This disease can have devastating effects on the poultry industry due to the high morbidity and mortality associated with virulent strains of the virus [4-6]. Clinical signs of vND include drop in egg production, respiratory distress, listlessness, weakness and
Classification of Security Attacks in WSNs and Possible Countermeasures: A Survey

Wireless sensor networks are best known for their applications in continuous monitoring of physical parameters and in network processing capabilities. However, a WSN is vulnerable to security breaches of data and nodes. Security is a challenging issue for WSN, as they have limited energy and other resources. The fact that they are deployed in extreme and ever changing environmental conditions makes it more difficult for WSN to be secure all the time. There are a variety of security attacks that target resource constrained nodes of WSN. In this paper, we present classification of security threats that are very strenuous and difficult to detect. In the later part of the paper, we discuss various countermeasures that are proposed by researchers for each of these attacks. It is concluded that network layer attacks in WSN can be detected and prevented by various methodologies but Trust Based intrusion detection is a good candidate for mitigating the problem.
Using Programmable Delay Monitors for Wear-Out and Early Life Failure Prediction

Early life failures in marginal devices are a severe reliability threat in current nano-scaled CMOS devices. While small delay faults are an effective indicator of marginalities, their detection requires special efforts in testing by so-called Faster-than-At-Speed Test (FAST). In a similar way, delay degradation is an indicator that a device reaches the wear-out phase due to aging. Programmable delay monitors provide the possibility to detect gradual performance changes in a system and allow to observe device degradation.This paper presents a unified approach to test small delay faults related to wear-out and early-life failures by reuse of existing programmable delay monitors within FAST. The approach is complemented by a test-scheduling which optimally selects frequencies and delay configurations to significantly increase the fault coverage of small delays and to reduce the test time.
SEASONAL VARIATION IN AVIAN COMMUNITY COMPOSITION IN A HIGH-ANDEAN POLYLEPIS (ROSACEAE)FOREST FRAGMENT

Abstract We analyzed seasonal variation in avian species richness and relative abundance at the community and guild level during a 13-month period in central Bolivia in an 11-ha patch of Polylepis (Rosaceae) forest, a high-Andean ecosystem that has suffered from extreme anthropogenic fragmentation. Birds were surveyed audio-visually (supplemented with mist net data) and assigned to five relative abundance categories for 2-month survey periods. We recorded 35 core species, including 16 insectivores (46%), 11 frugi-granivores (31%), seven nectarivores (20%), and one carnivore (3%). Core species richness varied from 25 (June–July) to 33 (October–November). Insectivores had a significantly higher proportion of year-round residents (81%) than frugi-granivores (45%) or nectarivores (14%); the same trend was evident with respect to seasonal variation in species richness of each guild. Although most species varied considerably in their relative abundance, no guild showed significant variation in relative abundance scores among survey periods. However, frugi-granivores and nectarivores combined, both of which depend upon plants as food resources, reached a significant minimum in mid-winter (June–July), and the same result was found at the community level. The insectivore guild thus was the most temporally stable both in terms of species richness and abundance. Qualitative observations indicated that the fluctuations in frugi-granivores and nectarivores were related to the availability of food resources.
Ingenol Derivatives are Highly Potent and Selective Inhibitors of HIV Replication in Vitro

Ingenol 3,5,20-triacetate has recently been identified as a highly potent and selective inhibitor of HIV replication in vitro. To evaluate the potential of ingenol derivatives as anti-HIV agents, several ingenol derivatives have been synthesized and investigated for their anti-HIV activities, structure-activity relationships, and possible mechanisms of action. Among the ingenol derivatives, 13-hydroxyingenol-3-(2,3-dimethylbutanoate)-13-dodecanoate (RD4-2138) proved to be a highly potent and selective inhibitor of HIV replication. Its 50% effective concentration for viral replication in MT-4 cells was 0.07-0.5 nM depending on viral strains, including HIV-2. This concentration was approximately 105-fold lower than its cytotoxic threshold. RD4-2138 was also inhibitory to the syncytium formation induced by cocultivation of Molt-4 cells with Molt-4/IIIB cells (Molt-4 cells chronically infected with HIV-1). Some correlation was observed with the ingenol derivatives between their inhibitory effects on HTLV-IIIB replication and surface CD4 expression in MT-4 cells, suggesting that the mechanism of inhibition is in part attributed to the inhibition of virus adsorption through down-regulation of CD4 molecules in the host cells. However, such correlation was not identified between the inhibition of HTLV-IIIB and the activation of protein kinase C. Thus, they might have a potential as effective anti-HIV agents when toxicity in vivo could be elucidated.
Electronically beam switchable High Gain Leaky-wave Antenna using TE20 Mode Substrate Integrated Waveguide for Large beam Scanning

In this paper, a compact electronically beam switchable leaky-wave antenna (LWA) based on TE20 mode substrate integrated waveguide (SIW) is proposed at X-band. The microstrip power divider-slotline transitions are utilized to excite TE20 mode SIW array in order to enhance the overall radiation capability of the designed structure. The tilted rectangular radiating slots with triangular amplitude variation are etched out on the top of SIW resulting in large bandwidth and low cross-polar level. Further, the single complementary split-ring resonator (CSRR) is placed on the bottom plane with four diodes. Depending on the biasing states of the diodes, the radiated fan beam is switched four different directions. The proposed antenna is working within the frequency range of 9 – 11.7 GHz (S11<-10dB) having the beam scanning range of 75˚ with a maximum gain of 14 dBi.