Miracle-dz/UniFAR-FTUs huggingface dataset:
ESTADIOS FENOLÓGICOS DE DESARROLLO EN “ÑANGAPIRÍ” (Eugenia unifl ora L.) DE ACUERDO A LA ESCALA BBCH

Este trabajo estudió los estadios fenológicos de desarrollo en Eugenia uniflora L. , un Berry nativo de Sudamérica que tiene importancia económica en mercados locales vinculados a los productores familiares en Brasil, Uruguay y Argentina. Los datos se recolectaron de una plantación de esta especie ubicada en el campo experimental de la Facultad de Ciencias Agrarias de la Universidad Nacional del Litoral (Esperanza, Santa Fe, Argentina. S 31o23 ́59”; W 60o53’58”). Se adaptó la escala BBCH a E. uniflora, registrando los estadios fenológicos con números de dos dígitos; el primero correspondiente al estadio principal de desarrollo y el segundo al estadio secundario de desarrollo, dentro del principal. Se observaron ocho estadios principales de desarrollo: el primero correspondió al desarrollo de las yemas vegetativas y florales (estadio principal 0), los siguientes tres correspondieron al desarrollo vegetativo abarcando la emergencia de las hojas (estadio principal 1), la elongación de los brotes (estadio principal 3) y el cese invernal del crecimiento (estadio principal 9). Los últimos cuatro estadios correspondieron al desarrollo reproductivo e incluyeron la emergencia de los órganos reproductivos (estadio 5), la floración (estadio 6), el crecimiento del fruto (estadio 7) y su madurez (estadio 8).
Museum material of Rhipicephalus sanguineus sensu Roberts (1965) collected in 1902–1964 from Australia is identical to R. sanguineus sensu lato tropical lineage at the mitochondrial DNA 12S rRNA level

Ticks identified as Rhipicephalus sanguineus (Latreille, 1806) have been recorded in Australia since 1896. It is now recognized that ticks identified as R. sanguineus belong to different lineages. Recently, the so‐called temperate lineage has been redescribed as R. sanguineus sensu stricto with a designated neotype. In Australia, the evidence suggests that only R. sanguineus sensu lato tropical lineage exists. We present a genetic evaluation of R. sanguineus sensu Roberts (1965) from museum material that was evaluated or identified by Roberts. We evaluated 12 museum specimens collected between 1913 and 1964, from various locations around Australia at the molecular level. DNA isolation was successful for 4/12 specimens. All four museum specimens were 100% identical to each other and to the reference R. sanguineus s.l. tropical lineage. Measurements of morphologically significant structures for male and female museum and contemporary tick specimens were obtained. The morphologically significant structures revealed there was no significant difference (ANOVA, P > 0.05) between these groups of male and female ticks. This study updates and supplement the comprehensive descriptions provided by Roberts (1965), which genetically belong to R. sanguineus s.l. tropical lineage.
Dimensionality Reduction for Smart IoT Sensors

Smart IoT sensors are characterized by their ability to sense and process signals, producing high-level information that is usually sent wirelessly while minimising energy consumption and maximising communication efficiency. Systems are getting smarter, meaning that they are providing ever richer information from the same raw data. This increasing intelligence can occur at various levels, including in the sensor itself, at the edge, and in the cloud. As sending one byte of data is several orders of magnitude more energy-expensive than processing it, data must be handled as near as possible to its generation. Thus, the intelligence should be located in the sensor; nevertheless, it is not always possible to do so because real data is not always available for designing the algorithms or the hardware capacity is limited. Smart devices detecting data coming from inertial sensors are a good example of this. They generate hundreds of bytes per second (100 Hz, 12-bit sampling of a triaxial accelerometer) but useful information comes out in just a few bytes per minute (number of steps, type of activity, and so forth). We propose a lossy compression method to reduce the dimensionality of raw data from accelerometers, gyroscopes, and magnetometers, while maintaining a high quality of information in the reconstructed signal coming from an embedded device. The implemented method uses an adaptive vector-quantisation algorithm that represents the input data with a limited set of codewords. The adaptive process generates a codebook that evolves to become highly specific for the input data, while providing high compression rates. The codebook’s reconstruction quality is measured with a peak signal-to-noise ratio (PSNR) above 40 dB for a 12-bit representation.
Online Distributed Job Dispatching with Outdated and Partially-Observable Information

In this paper, we investigate online distributed job dispatching in an edge computing system residing in a Metropolitan Area Network (MAN). Specifically, job dispatchers are implemented on access points (APs) which collect jobs from mobile users and distribute each job to a server at the edge or the cloud. A signaling mechanism with periodic broadcast is introduced to facilitate cooperation among APs. The transmission latency is non-negligible in MAN, which leads to outdated information sharing among APs. Moreover, the fully-observed system state is discouraged as reception of all broadcast is time consuming. Therefore, we formulate the distributed optimization of job dispatching strategies among the APs as a Markov decision process with partial and outdated system state, i.e., partially observable Markov Decision Process (POMDP). The conventional solution for POMDP is impractical due to huge time complexity. We propose a novel low-complexity solution framework for distributed job dispatching, based on which the optimization of job dispatching policy can be decoupled via an alternative policy iteration algorithm, so that the distributed policy iteration of each AP can be made according to partial and outdated observation. A theoretical performance lower bound is proved for our approximate MDP solution. Furthermore, we conduct extensive simulations based on the Google Cluster trace. The evaluation results show that our policy can achieve as high as 20.67% reduction in average job response time compared with heuristic baselines, and our algorithm consistently performs well under various parameter settings.
To Optimize the Conduct of a Photovoltaic Structure using Different DC-DC Conversion Topologies with Emerging Methods for Control Algorithms

Distributed generation is now a days one of the mostly used method for the production of electricity in different sectors like residential, commercial and industrial. The resources like solar, wind, hydro, biogas, tidal and biomass are in the race for the production of electrical energy. They are producing electricity independently as well helps in decreasing the pollution which was one of the main reasons to reduce the use of non-renewable sources. Out of several non-conventional energy sources, the source which is extensively used solar energy. Compared with other sources, it has many benefits like it is freely available, abundant in nature, non-polluting, and for conversion it does not require any rotating device. Integration of any system with other increases the performance. Hence to improve its overall efficiency, a solar system can be integrated with thermal, hydro or wind power system. Also, a best suited converter topology will be opted along with an appropriate maximum power point tracking algorithm to make it more effective in operation. But solar energy depends on radiance and temperature which shows it is variable and its power output reduces due to partial shedding in cells. This will alleviate the conversion efficiency of solar system (it is about 17-20%). Hence to increase the solar power output, soft and hard computing algorithms are used in a system which are called as control algorithms. This paper gives the idea regarding two major converter topologies-buck and boost, their comparison, and suitability of converter circuit for solar applications. Also, the paper focuses on different hard and soft computing methods which works to capture the optimum power point and related control algorithms.
Error mitigation via stabilizer measurement emulation

A. Greene, M. Kjaergaard, M. E. Schwartz, G. O. Samach, 2 A. Bengtsson, 3 C. McNally, M. O’Keeffe, D. K. Kim, M. Marvian, 4 A. Melville, B. M. Niedzielski, A. Vepsäläinen, R. Winik, J. Yoder, D. Rosenberg, S. Lloyd, 4 T. P. Orlando, I. Marvian, S. Gustavsson, and W. D. Oliver 2, 6, 7 Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA MIT Lincoln Laboratory, Lexington, MA 02421, USA Microtechnology and Nanoscience, Chalmers University of Technology, Göteborg, SE-412 96, Sweden Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Departments of Physics & Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Department of Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA (Dated: February 12, 2021)
Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches

Traceability information can be crucial for software maintenance, testing, automatic program repair, and various other software engineering tasks. Customarily, a vast amount of test code is created for systems to maintain and improve software quality. Today’s test systems may contain tens of thousands of tests. Finding the parts of code tested by each test case is usually a difficult and time-consuming task without the help of the authors of the tests or at least clear naming conventions. Recent test-to-code traceability research has employed various approaches but textual methods as standalone techniques were investigated only marginally. The naming convention approach is a well-regarded method among developers. Besides their often only voluntary use, however, one of its main weaknesses is that it can only identify one-to-one links. With the use of more versatile text-based methods, candidates could be ranked by similarity, thus producing a number of possible connections. Textual methods also have their disadvantages, even machine learning techniques can only provide semantically connected links from the text itself, these can be refined with the incorporation of structural information. In this paper, we investigate the applicability of three text-based methods both as a standalone traceability link recovery technique and regarding their combination possibilities with each other and with naming conventions. The paper presents an extensive evaluation of these techniques using several source code representations and meta-parameter settings on eight real, medium-sized software systems with a combined size of over 1.25 million lines of code. Our results suggest that with suitable settings, text-based approaches can be used for test-to-code traceability purposes, even where naming conventions were not followed.
The influence of perceived discrimination in healthcare settings on psychological distress among a diverse sample of older Asian Americans

Abstract Objectives The purpose of this study was to determine the relationship between discrimination in healthcare settings and psychological distress. Method This study utilized a retrospective cross-sectional study design. The dataset was obtained from 2015-2017 California Health Interview Survey (CHIS). Healthcare discrimination experience (yes, no) was measured using the following question “Over your entire lifetime, how often have you been treated unfairly when getting medical care (never, rarely, sometimes, often)? ”. Psychological distress was the study outcome and was measured using the Kessler Psychological Distress Scale. A composite score (0-24) was created for psychological distress for the prior 30 days and for the worse most in the past 12 months. A hierarchical multivariate linear regression was conducted to examine the influence of healthcare discrimination experience on psychological distress after adjusting for other covariates. Results Study participants (weighted N = 1,360,487) had a mean age of 64.35 years (SD = 0.61), were primarily female (54.93%), heterosexual (96.61%), and married or living with a partner (73.37%). About 10.00% of older Asian Americans ever perceived healthcare discrimination over their entire lifetime. Perceived discrimination was associated with higher levels of psychological distress for the past 30 days (beta= 2.107, SE = 0.662, p < 0.05) and for the worst month in the past year (beta= 2.099, SE = 0.697, p < 0.05) after controlling for covariates. Conclusion Self-reported discrimination was relatively low in this sample of older Asian American adults. However, consistent with prior research, perceived discrimination in the healthcare setting was associated with increased psychological distress. The findings have implications for improving the quality of health care services received.
The use of personality tests as a pre-employment tool: A comparative study

The mechanisms of professional selection of young graduates in the labour market remain an open debate and involve all stakeholders: students, educational system, companies and administrations. These mechanisms play a crucial role in the future performances of an institution or a company, as the selection of the wrong candidate can ruin an organization. In contrast, the right candidate can take the organization to new heights. The interview presents a short interaction that may reflect the candidate knowledge and skills; however, there are many other hidden facets such as personality traits that are difficult to measure only by interviewing. Today, many countries already use personality testing during the recruitment phase. Our objective through this work is to determine the possible links between the personality of future young employees and their performance within the company. To achieve this objective, we carried out a comparative study of the different personality tests used in the recruitment process.
Numerical evaluation of effects of shear span, stirrup spacing and angle of stirrup on reinforced concrete beam behaviour

Shear and bending strength of reinforced concrete beams depend on many parameters. It is extremely important to take the necessary precautions in terms of shear in order for the beams to reach their bending capacity. For this reason, it is necessary to determine the effective parameters especially on shear capacity in beams. However, the actual capacity calculation is quite difficult according to regulations that are very conservative in terms of design. Therefore, many experimental studies have been conducted on the shear capacity of the beams. However, this situation is not meaningful in terms of both time and cost, since many experiments will be required to interpret the beam shear behavior, which depends on many parameters. For this reason, the use of advanced software whose verification is performed according to experimental data has become widespread. In this study, a numerical study was carried out on 36 different beam models using the ABAQUS finite element program to examine the effect of the shear span/effective depth (av/d) ratio, stirrup spacing (sw) and the angle of stirrup (a). The results showed that as the av/d increase, the behavior of a shear deficient beam tends to typical bending behavior. Although the effect of stirrup angle on shear capacity is quite high, stirrup angles of 30o and 60o give very similar results. The effect of stirrup spacing is quite limited at relatively high av/d. Stirrups with 90o do not contribute to ductility in beams with high av/d.
Accessibility of Tables in PDF Documents

People access and share information over the web and in other digital environments, including digital libraries, in the form of documents such as books, articles, technical reports, etc. These documents are in a variety of formats, of which the Portable Document Format (PDF) is most widely used because of its emphasis on preserving the layout of the original material. The retrieval of relevant material from these derivative documents is challenging for information retrieval (IR) because the rich semantic structure of these documents is lost. The retrieval of important units such as images, figures, algorithms, mathematical formulas, and tables becomes a challenge. Among these elements, tables are particularly important because they can add value to the resource description, discovery, and accessibility of documents not only on the web but also in libraries if they are made retrievable and presentable to readers. Sighted users comprehend tables for sensemaking using visual cues, but blind and visually impaired users must rely on assistive technologies, including text-to-speech and screen readers, to comprehend tables. However, these technologies do not pay sufficient attention to tables in order to effectively present tables to visually impaired individuals. Therefore, ways must be found to make tables in PDF documents not only retrievable but also comprehensible. Before developing such solutions, it is necessary to review the available assistive technologies, tools, and frameworks for their capabilities, strengths, and limitations from the comprehension perspective of blind and visually impaired people, along with suitable environments like digital libraries. We found no such review article that critically and analytically presents and evaluates these technologies. To fill this gap in the literature, this review paper reports on the current state of the accessibility of PDF documents, digital libraries, assistive technologies, tools, and frameworks that make PDF tables comprehensible and accessible to blind and visually impaired people. The study findings have implications for libraries, information sciences, and information retrieval.
Beneficial and harmful effects

Contributors. Preface. I. Clinical Applications and Therapeutic Effects: 1. Effect of Electrical Fields on Neuronal Growth and Regeneration, W. Young. 2. Therapeutic Uses of Electric and Magnetic Fields in Orthopedics, A. Bassett. 3. Magnetic Source Imaging, R.J. Ilmoniemi. II. Cell and Molecular Biology and Electric and Magnetic Fields: 4. Electric Field-Induced Calcium Flux and Changes in Cell Shape, Motility, and Cytoskeleton, S.W. Hui. 5. In Vitro Systems for the Study of Electromagnetic Effects on Bone and Connective Tissue, R.A. Luben. 6. Electric and Magnetic Field Effects on the Immune System, A. Chiabrera, R. Cadossi, F. Bersani, C. Franceschi, and B. Bianco. 7. Autoimmune Reactions as a Possible Component of Stress Induced by Electromagnetic Fields, A.M. Serduke, Y.D. Dumanskyj, and S. Mandzu. 8. Effects of Electric and Magnetic Fields on Transcription, R. Goodman and A. Shirley-Henderson. 9. Electric and Magnetic Fields and Carcinogenesis, A.H. Parola and A. Markel. III. Cancer and Other Human Health Effects: 10. Electric and Magnetic Fields and Cancer: The Use of Field Exposure Measurements in Epidemiological Studies, S. Koifman and G. Th_riault. 11. Epidemiologic Evidence on Cancer in Relation to Residential and Occupational Exposures, D.A. Savitz and A. Ahlbom. 12. Electric Power and Risk of Hormone-Related Cancers, R.G. Stevens. 13. Thermal, Cumulative, and Life Span Effects and Cancer in Mammals Exposed to Radiofrequency Radiation, J.A. Elder. 14. Power-Frequency Electric and Magnetic Fields: Issues of Risk Management and Risk Communication, M.G. Morgan. 15. The Public Health Implications of Magnetic Field Effects on Biological Systems, D.O. Carpenter. References. Index.
Implementation of Monte Carlo coincident aperture functions in image generation of a high-resolution animal positron tomograph

For imaging animals, small-diameter tomographs are designed for increased sensitivity. As a consequence, it is optimal to reconstruct a large fraction of the detector aperture. This is a challenge if resolution degradation, especially at the edge of the field-of-view, is to be minimized. Accounting for system-dependent resolution functions could therefore greatly enhance the image generation process in these tomographs. Monte Carlo techniques were used to simulate the high-resolution animal tomograph MADPET and to determine coincidence aperture functions (CAFs) as a function of position in field-of-view. Sinogram rebinning was applied with spatially varying CAFs followed by filtered backprojection. An analytical rebinning method based on the intrinsic resolution of the system was used for comparison. Furthermore, CAFs were implemented into iterative list-mode reconstruction without sinogram rebinning. Simulated and measured line sources at positions within 88% of the system diameter were analyzed to determine image resolution. Image quality was assessed with a simulated and measured Derenzo-style structure phantom. Since no deconvolution methods were used for sinogram rebinning with simulated CAFs, this method could not improve resolution degradation. Nevertheless, it provided enhanced image quality by removing sampling artifacts introduced by common rebinning techniques. The use of Monte Carlo derived probability matrices combined with iterative list-mode reconstruction proved to be adequate to improve image quality and restore spatial resolution within 88% of the detector ring aperture in a small animal positron tomograph.
ISSN 2320-5407 International Journal of Advanced Research (2016), Volume 4, Issue 4, 272-278

Hatham I. Khalil 1 ,Maysoon A. Merdaw 2 ,Arwa M. Abdullah 3 , Waleed K. El-Hashimi 1 , Nada M. Al-Bashier 4 , Huda J. Mohemmad 5 . 1. Department of Microbiology, College of Medicine, Al-Mustansiryah University, Baghdad, Iraq. 2. Department of Clinical Laboratory Sciences, College of Pharmacy, Baghdad University, Baghdad, Iraq. 3. Department of Microbiology, College of Medicine, Al-Nahrain University, Baghdad, Iraq. 4. Medical Research Unit, College of Medicine, Al-Nahrain University, Baghdad, Iraq. 5. Department of Clinical Laboratory Sciences, College of Pharmacy, ThiQar University, ThiQar, Iraq.
Appropriate Data mining Technique and Algorithm for Using in Analysis of Customer Relationship Management (CRM) in Bank Industry

Abstractâ€”Customer Relationship Management (CRM) adalah ide yang menjadi sebuah peningkatan kepentingan faktor sukses untuk bisnis ke depannya. CRM adalah proses dari mengatur interaksi antara sebuah perusahaan dan pelanggannya. Pada awalnya, ini termasuk ke dalam segmentasi pasar untuk mengidentifikasi pelanggan dengan potensial profit yang tinggi, dari strategi pemasaran yang dirancang dengan baik untuk mempengaruhi tingkah laku dari pelanggan dalam segmen tersebut. Dalam masyarakat modern, pelanggan menjadi aset yang penting bagi perusahaan. Hubungan antara pelanggan dengan manajemen yang efisien adalah metode yang dibutuhkan untuk meningkatkan keuntungan lebih dari perusahaan. Termasuk di industri perbankan, misalnya, di sebuah perusahaan industri perbankan digunakan konsep CRM khususnya dengan menggunakan salah satu model strategi pemasaran yaitu Customer Segmentation yang bertujuan untuk membantu pihak bank untuk membagi pasar menjadi kelompok nasabah yang terbedakan dengan kebutuhan, karakteristik atau tingkah laku yang berbada yang mungkin membutuhkan produk atau bauran pemasaran yang terpisah. Customer Segmentation dapat dilakukan dengan bantuan teknik Data Mining, sehingga diharapkan dapat dihasilkan Customer Segmentation yang sesuai dengan kebutuhan bank yang dapat meningkatkan kualitas servis dan revenue dari bank tersebut. Penerapan data mining untuk sistem CRM di perbankan seharusnya menggunakan teknik dan algoritma yang tepat. Untuk itu, paper ini akan membahas mengenai bagaimana cara untuk menentukan teknik dan algoritma data mining yang tepat untuk sistem CRM di perbankan. Keywordsâ€”Customer Relationship Management (CRM); Data Mining; Bank Customer Segmentation