Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development of a State-Aware Equipment Maintenance Application Using Sensor Data Ranking Techniques

Billions of electric equipment are connected to Internet of Things (IoT)-based sensor networks, where they continuously generate a large volume of status information of assets. So, there is a need for state-aware information retrieval technology that can automatically recognize the status of each electric asset and provide the user with timely information suitable for the asset management of electric equipment. In this paper, we investigate state-aware information modeling that specializes in the asset management of electric equipment. With this state-aware information model, we invent a new asset state-aware ranking technique for effective information retrieval for electric power and energy systems. We also derive an information retrieval scenario for IoT in power and energy systems and develop a mobile application prototype. A comparative performance evaluation proves that the proposed technique outperforms the existing information retrieval technique.
Reference Gene Selection for Expression Analyses by qRT-PCR in Dendroctonus valens

Dendroctonus valens is the main pest of the genus Pinus. To facilitate gene expression analyses, suitable reference genes for adults and mature larvae of D. valens under different temperature conditions were determined. In particular, we obtained the sequences of candidate reference genes, ACT, TUB, SHDA, PRS18, 18S rRNA, and CYP4G55, from transcriptome data. Real-time quantitative PCR was used to analyze gene expression, and geNorm, NormFinder, and BestKeeper were used to evaluate expression stability. Under different temperature conditions, the expression levels of 18S rRNA, PRS18, and TUB were stable in adults, in which 18S rRNA > PRS18 > TUB. In mature larvae, the expression levels of TUB, 18S rRNA, and SDHA were stable, in which TUB > 18S rRNA > SDHA. The combination of 18S rRNA and PRS18 is recommended for studies of gene expression in adults and the combination of 18S rRNA and TUB is effective for studies of gene expression in mature larvae of D. valens under different temperature conditions.
Snakes are Important Nest Predators of Dickcissels in an Agricultural Landscape

Abstract We used video cameras to monitor 33 Dickcissel (Spiza americana) nests during 2003–2004 in the highly-fragmented, agricultural ecosystem of eastern Nebraska and western Iowa. Nine nests fledged young, 20 were completely depredated, three were partially depredated, and one was abandoned due to ants. Nine snakes, six small mammals, six common raccoons (Procyon lotor), two Brown-headed Cowbirds (Molothrus ater), and one American mink (Neovison vison) were documented as nest predators. These results suggest a diversity of predators is responsible for depredation of Dickcissel nests with snake predation being an important cause of nest failure.
Reasons for and Facilitating Factors of Medical Malpractice Complaints. What Can Be Done to Prevent Them?

Background and objectives. Medical malpractice is an increasing phenomenon all over the world, and Romania is not spared. This matter is of concern as it has a significant impact on the physicians and the patients involved, as well as on the health care system and society in general. The purpose of our study was to perform an insight analysis on the reasons for medical malpractice complaints as well as the factors that facilitate the complaints to identify specific ways to prevent them and, implicitly, to improve the medical practice. Materials and Methods. The authors conducted a retrospective study of the medical malpractice complaints registered in the period 2006–2019 at the Commission for monitoring and professional competence for malpractice cases in the region of Moldova, Romania, collecting data on both the patients and the medical professionals involved. Results. The authors analyzed 153 complaints directed against 205 medical professionals and identified 15 categories of reasons for complaints, the most significant being related to the occurrence of complications, and to the doctor–patient interaction (e.g., communication, behavior, informed consent). The most frequently reported medical specialties were obstetrics and gynecology, emergency medicine, general surgery, and orthopedics and traumatology. Emergency medicine was often involved in complaints suggesting an over utilization of this department in our country and the need for health policies, which could divert the large number of patients accessing emergency medicine towards primary care. Conclusions. Regarding the dysfunctions in the doctor–patient relationship frequently claimed by patients, the authors concluded that doctors need special undergraduate training and periodic updating during their practice for them to be able to adequately address the challenges of interacting with their patients.
A Deep Reinforcement Learning-Based MPPT Control for PV Systems under Partial Shading Condition

On the issues of global environment protection, the renewable energy systems have been widely considered. The photovoltaic (PV) system converts solar power into electricity and significantly reduces the consumption of fossil fuels from environment pollution. Besides introducing new materials for the solar cells to improve the energy conversion efficiency, the maximum power point tracking (MPPT) algorithms have been developed to ensure the efficient operation of PV systems at the maximum power point (MPP) under various weather conditions. The integration of reinforcement learning and deep learning, named deep reinforcement learning (DRL), is proposed in this paper as a future tool to deal with the optimization control problems. Following the success of deep reinforcement learning (DRL) in several fields, the deep Q network (DQN) and deep deterministic policy gradient (DDPG) are proposed to harvest the MPP in PV systems, especially under a partial shading condition (PSC). Different from the reinforcement learning (RL)-based method, which is only operated with discrete state and action spaces, the methods adopted in this paper are used to deal with continuous state spaces. In this study, DQN solves the problem with discrete action spaces, while DDPG handles the continuous action spaces. The proposed methods are simulated in MATLAB/Simulink for feasibility analysis. Further tests under various input conditions with comparisons to the classical Perturb and observe (P&O) MPPT method are carried out for validation. Based on the simulation results in this study, the performance of the proposed methods is outstanding and efficient, showing its potential for further applications.
WIRELESS SENSING APPLICATION FOR WEATHER PREDICTION IN REAL TIME

: In the recent period, there is a immense deal merged to real-time wireless sensing Big Data than it appear at first & taking out the important data in an well-organized way and guides a structure in the direction of a main computational faces, such as to analyze, collective, and store, where information are slightly collected. Keeping in sight the on top of declared factors, there is a need for scheming system architecture that greetings both real-time, as well as offline data processing. The proposed architecture for remote sensing satellite application comprises three main units, such as 1) remote sensing Big Data acquisition unit (RSDU); 2) data processing unit (DPU); 3) Data analysis decision unit (DADU). The proposed architecture has the ability of separating, load balancing, & parallel processing of simply useful information. Therefore, it consequences in proficiently analyzing the real-time wireless sensing Big Data by earth observatory system. In addition, the proposed structure has the ability of storing arriving unprocessed data to carry out offline study on largely stored dumps, when required. Lastly, a thorough investigation of remotely sensed earth observatory Big Data for land and sea area are offered by Hadoop. Adding up, various algorithms are lined up with each level of RSDU, DPU and DADU to discover as well as seashore to detail the working of architecture.
The Dp186 Dystrophin Isoform Mediates Regulation of neurotransmitter Release at Central Synapses in Drosophila

The establishment of synaptic connections during the development of the nervous system is dependent on bi-directional communication between preand postsynaptic cells. Such anteroand retrograde signals are also essential for the further maturation and plasticity of these connections. Here, we show that a CNS-specific Dystrophin isoform, Dp186, is required for appropriate retrograde regulation of neurotransmitter release at central synapses in Drosophila. Dystrophin is encoded by the gene whose mutation in humans underlies Duchenne muscular dystrophy, a disease characterized by progressive muscle wasting. A number of Duchenne patients also exhibit poorly understood mental retardation, likely associated with loss of a brain-specific isoform. Furthermore, Dystrophin and the related Utrophin proteins have long been known to localize at synapses, however, their functions there are largely unknown. In Drosophila, we find that the CNS-specific Dp186 isoform localizes to the postsynaptic dendrites of larval motoneurons which receive input from upstream presynaptic cholinergic interneurons. In the absence of Dp186, evoked, but not spontaneous, presynaptic release is significantly enhanced. This increase in presynaptic release can be rescued to wild type levels by expression of a Dp186 transgene in the postsynaptic motoneuron, but not in presynaptic interneurons. The increase in neurotransmitter release observed in the Dp186 mutants requires the presence of the TGF-β ortholog, Gbb, a protein previously implicated in retrograde signaling at these synapses. Dp186 is, therefore, required to maintain appropriate retrograde control of synaptic function at interneuron-motoneuron synapses of the central motor circuitry.
International Conference on Entrepreneurship and Innovation Maribor PODIM DRIVING FORCES OF CREATING GLOBAL VENTURES

Contemporary market conditions impose the importance of gathering of ever greater amounts of information from the environment. Need of the company for unique, fresh, and often, for business operations of a particular company, characteristic information promotes primary sources of information to the foreground, and makes employees who are in direct contact with stakeholders the main subjects of such a process of environmental scanning. The objective of this research is to explore the importance of company's entrepreneurial design for harvesting its employee information potential. This paper will propose the DePSO model model of decentralization of environmental scanning process, which is based in the concept of organisational porosity and identifies key aspects of organisational design important for employee information harvesting: organisational structure, organisational culture, motivation system and internal communication system.
Within‐island microgeographic variation in body dimensions and scalation of the skink Chalcides sexlineatus, with testing of causal hypotheses

Correlations, univariate analyses, multiple group principal component analyses, canonical analyses, contours and transects arc used to describe microgeographic variation in body dimensions and scalation of the scincid lizard Chalcides sexlineatus within the island of Gran Canaria. Patterns of geographic variation in both character systems show similar north-east/south-west clines, scalation variation is also altitude-related. Canonical variate analyses showed that the generalized patterns of geographic variation in scalation and body dimensions were largely unidimensional. Four hypotheses, each one predicting a unidimensional pattern of microgeographic variation, were tested simultaneously against each described pattern using partial correlation. This method did not reject north/south differences in climate and/or vegetation as a cause of the microevolution in body dimensions. Similarly, altitude and north/south differences in climate/vegetation were not rejected for scalation. Partial correlation rejected the hypothesis that there are two species of Chalcides with different ranges within Gran Canaria. Mantel tests rejected the altitude hypothesis alone as a cause of the generalized geographic variation in body dimensions but did not reject any of the proposed hypotheses as being causal for the generalized geographic variation in scalation. A consideration is made of how habitat variation could cause differential selection and comparisons drawn with a parallel pattern of microgeographic variation found in the colour pattern, scalation and size of a lizard on a neighbouring island.
Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness

Finding the first full-time, major-related job is a challenge faced by most college students, particularly those who have not gained much working experience before entering the job market. This challenge is amplified for the students majoring in Information Technology (IT), and cybersecurity in particular, due to the constantly changing technology landscape, intensively competitive markets, and increasingly high expectations from employers on their recruits. This study shows the initial results of a tool called e-RAP which allows the students to submit their current resumes, obtain automatic feedback and a rating report, and consequently take actions to strengthen their portfolio. The authors employ machine learning and natural language processing (NLP) to create a resume analysis and reporting tool. The methodology section provides an overview of the e-RAP analysis process, followed by elaborations on data curation, data collection, and analysis techniques. Several visual examples of the reports generated by e-RAP illustrate the effectiveness of the tool in helping enhance students’ resumes and eventually the skills areas they need to work on or highlight. The future direction includes systematic evaluation of the effectiveness of e-RAP and its impact on our student’s ability to get high -quality positions. Diving deeper into the various types of cybersecurity positions is also planned.
A Genetical and Ecological Diversity of Fresh Water Prawns Macrobrachium Canarae and Caridina Gracilirostris from Kanyakumari Dist., Tamil Nadu, India

Fresh water prawns are cultured widely around the world but little is known about the levels and patterns of genetic diversity. This paper reports the RAPD analysis of two species of fresh water prawns of Atydiae and Palaemonidiae family and the genus Macrobrachium and Caridina collected from Kanyakumari district. Specimens are identified using species-specific morphological characteristics. Morphological characters have limitations of describing intra specific genetic diversity as they are polygenic and expressions can be modified by the environment. The advent of molecular technique made possible not only the genetic analysis and also the study of evolutionary relationship. Molecular analysis of the morphologically identified species are done by extracting the DNA from the animal and concentration of DNA is measured using Nanodrop spectrophotometer at a wavelength of 280nm. Further analysis was performed with RAPD (Rapid Amplified Polymorphic DNA) a PCR (Polymerase Chain Reaction) based technique. It consist of genomic DNA, amplified with randomly constructed oligonucleotides. Specific quantity of extracted DNA was then amplified by multiplex PCR using random primers and 16S rRNA gene products was then analyzed using a bioanalyzer. From the analysis, electropherograms of DNA samples were obtained and the electrophoresis gel image of the samples were obtained. Electropherogram were then overlaid on each other and the genetic variation between the two species was determined.
Growth and nodulation of soybean plants fertilized with poultry litter

Nowadays much of the chemical fertilizers used in Brazil come from imports, what creates the necessity to seek for alternative fertilizers. One possibility is organic fertilizers, including poultry litter, which presents increasing availability in various regions of the country, due to the expansion of the poultry industry. Despite its availability, there are no enough studies that show the benefits of using poultry litter on soybeans in substitution of mineral fertilizer. The present study aimed to evaluate the effect of different doses of poultry litter on leaf chlorophyll content, nodulation, and development of soybean plants. It was used a completely randomized design with five doses of poultry litter (0, 1, 2, 4 and 8 t ha-1) and a control with mineral fertilizer with four repetitions. On stages R1 and R5, chlorophyll readings were done using a portable meter and also the measurement of plant height. Plants were cut near the surface, roots were washed and the nodules were detached and counted. After that, it was determined the dry weight of plant roots, nodules, and shoots. Soybean fertilization with poultry litter increases the chlorophyll content of leaves, plant height, shoot dry matter, root dry matter, and nodulation. The use of poultry litter on soybean favors its growth with decreasing increments, except for root dry matter, and with an optimum dose for each variable. The supply of poultry litter can replace mineral fertilizers in terms of soybean growth.
Lelantus: Fine-Granularity Copy-On-Write Operations for Secure Non-Volatile Memories

Bulk operations, such as Copy-on-Write (CoW), have been heavily used in most operating systems. In particular, CoW brings in significant savings in memory space and improvement in performance. CoW mainly relies on the fact that many allocated virtual pages are not written immediately (if ever written). Thus, assigning them to a shared physical page can eliminate much of the copy/initialization overheads in addition to improving the memory space efficiency. By prohibiting writes to the shared page, and merely copying the page content to a new physical page at the first write, CoW achieves significant performance and memory space advantages.Unfortunately, with the limited write bandwidth and slow writes of emerging Non-Volatile Memories (NVMs), such bulk writes can throttle the memory system. Moreover, it can add significant delays on the first write access to each page due to the need to copy or initialize a new page. Ideally, we need to enable CoW at fine-granularity, and hence only the updated cache blocks within the page need to be copied. To do this, we propose Lelantus, a novel approach that leverages secure memory metadata to allow fine-granularity CoW operations. Lelantus relies on a novel hardware-software co-design to allow tracking updated blocks of copied pages and hence delay the copy of the rest of the blocks until written. The impact of Lelantus becomes more significant when huge pages are deployed, e.g., 2MB or 1GB, as expected with emerging NVMs.
Fatty acid composition and nutritional value of fresh eggs, from large- and small-scale farms

Abstract This paper supplies new data on the fatty acid composition of eggs, with special emphasis on polyunsaturated fatty acids (PUFA). A total of 29 fatty acids were identified and determined by capillary gas chromatography. Remarkable n-3 PUFA levels were 0.6% linolenic acid and 1.2% docosahexaenoic acid, and n-6 PUFA levels were 17.0% linoleic and 2.0% arachidonic. The polyunsaturated/saturated ratio and the n-6/n-3 ratio could be considered good for human diets. There were significant differences in total cis -monounsaturated fatty acids ( cis -MUFA) and total n-6 PUFA, and in C20:5 and C22:5 n-3 contents, between eggs from large-scale production centers and eggs from small-scale producers. These differences exist also for the n-6/n-3 ratio, which was more favorable in small-scale producer eggs than in large scale-producer eggs. The study on the influence of hens′ diet shows that higher dietary contents of linoleic acid and trans -MUFA were directly correlated with higher proportions of commercial feed in the hens′ diet and that total saturated fatty acids content was independent of this intake. We also observed that increasing contents of C18:2 n-6 were associated with decreasing contents of MUFA and C20/22 n-3 PUFA.
Elevational gradients of bryophyte diversity, life forms, and community assemblage in the southern Appalachian Mountains.

We investigated the influence of fine-scale elevational gradients and overstory disturbance on bryophyte distribution, diversity, and community composition. Bryophyte species cover and richness were sampled across 60 randomly selected plots within high-elevation spruce–fir (Picea–Abies) forests of Great Smoky Mountains National Park. Ordination and regression analyses revealed a fine-scale elevation gradient (700 m) in bryophyte community composition. Observed changes in bryophyte diversity and community composition were also associated with variation in deciduous basal area and thus litter composition, the prevalence of herbaceous plants, and the degree of canopy openness resulting from balsam woolly adelgid (Adelges piceae Ratz.) infestation. Although overstory disturbances, such as those caused by the adelgid, create suitable substrate for bryophyte colonization, the corresponding increase in light availability and deciduous basal area may alter bryophyte diversity and community assemblages.
ENCRYPTING DATA AND SECURING IT WITH AN IMPREGNABLE COMPRESSION TECHNIQUE FOR CLOUD STORAGE

In the cloud computing environment privacy and data protection becomes a challenging task where many encryption schemes proposed to overcome this. When an intruder in a cloud environment with no authorized access tries intruding the traditional encryption schemes protect the cloud providers so that they cannot be hacked. They are forced to reveal the secret data present in storage encryption schemes. Thus current technologies involved in encryption of data and then store it in cloud. With the help of this only the authorized users with authenticating key can get the appropriate data by decrypting it. In our proposed method we deploy the enhanced security system by applying impregnable compression of data along with encryption system. Since the snooper cannot tell if obtained secrets are true or not, the cloud storage providers ensure that user privacy is still securely protected. Along with this the proposed impregnable compression technique which will overcome the extra data created by encrypted algorithm. After encrypting the data with potential ECC algorithm it is also compressed in archive files and then stored in cloud thus accomplishes both data privacy and efficient space saving.