Miracle-dz/UniFAR-FTUs huggingface dataset:
Selection of BC1F3 populations of Santa Cruz type dwarf tomato plant by computational intelligence techniques

: The aim of this study was to estimate genetic divergence and select BC 1 F 3 populations of dwarf tomato plant within the Santa Cruz segment by computational intelligence techniques. The experiment was conducted in a greenhouse in the Vegetable Crop Experimental Station of the Universidade Federal de Uberlândia (UFU), Monte Carmelo, MG, Brazil. A randomized block experimental design was used with 17 treatments and four replications. The genetic material evaluated comprised thirteen dwarf tomato plant populations obtained by a backcross and two self-fertilizations, plus both parents (recurrent and donor), and two commercial check varieties. The traits evaluated were mean fruit weight (MFW), soluble solids content (SSC), fruit diameter (FD), fruit length (FL), fruit shape (FS), pulp thickness (PT), number of locules (NL), distance between internodes, and acylsugar, β-carotene, and lycopene content. The data were analyzed by means testing, and genetic divergence was measured using Mahalanobis generalized distance by the unweighted pair group method with arithmetic mean (UPGMA) and through computational intelligence using Kohonen self-organizing maps (SOM). Genetic dissimilarity in relation to the donor parent could be confirmed through both methodologies. However, the SOM was able to detect differences and organize the similarities among the populations in a more consistent manner, resulting in a larger number of groups. In addition, the computational intelligence techniques allow the weight of each variable in formation of the groups to be ascertained. Among the BC 1 F 3 populations, UFU-SC#3 and UFU-SC#5 stood out for agronomic traits, and UFU-SC#10 and UFU-SC#11 stood out for quality parameters.
Dynamic linkages among financial stability, house prices and residential investment in Greece

Constructing a financial stress index, we examine the relationship between financial stability and real estate price fluctuation in Greece, whose experience during the last two decades makes it an ideal laboratory. Employing a VAR and a Bayesian VAR model, we demonstrate the ability of this measure to explain the phases of the housing market (in terms of both residential prices and investment). We find that an adverse shock in financial stability has prolonged adverse effects in the Greek real estate market. Our findings also suggest that residential prices are more sensitive to changes in financial stress conditions than residential investment.
Computational Fluid Dynamics Simulation of Suspended Solids Transport in a Secondary Facultative Lagoon Used for Wastewater Treatment

The facultative lagoon hydrodynamics has been evaluated using computational fluid dynamics tools, however, little progress has been made in describing the transport of suspended solids within these systems, and their effects on fluid hydrodynamics. Traditionally, CFD models have been built using pure water. In this sense, the novelty in this study was to evaluate the influence of suspended solids transport on the hydrodynamics of an facultative lagoon. Two three-dimensional CFD models were developed, a single-phase model (pure water) and a two-phase model (water and suspended solids), for a conventional FL in Ginebra, Valle del Cauca, Colombia. Model results were compared with experimental tracer studies, displaying different tracer dispersion characteristics. Differences in the fluid velocity field were identified when suspended solids were added to the simulation. The fluid velocities in the single-phase model were greater than the fluid velocities obtained in the two-phase model, (0.127 m·s−1 and 0.115 m·s−1, respectively). Additionally, the dispersion number of each model showed that the single-phase model (0.478) exhibited a better behavior of complete mixing reactor than the two-phase model (0.403). These results can be attributed to the effect of the drag and slip forces of the solids on the velocity of the fluid. In conclusion, the fluid of FL in these models is better represented as a two-phase fluid in which the particle–fluid interactions are represented by drag and slip forces.
Low-Speed Sensorless Control for the Interior Permanent Magnet Synchronous Motors with Sliding Discrete Fourier Transform

An efficient estimation of the rotor position has always been a premise of the reliable operation for the interior permanent magnet synchronous motors (IPMSM), especially for low-speed conditions because of the small back electromotive force (EMF) and low signal-to-noise ratio (SNR). The commonly used observation method, e.g., sliding mode observer (SMO), is suitable for these surface mounted motors and has no great adaptability to the saliency. In this paper, a novel rotor position (including the real-time position and initial position) estimation method was proposed based on the traditional high-frequency signal injection method. Firstly, high-frequency signals were injected to induce the high-frequency current components which contain the rotor position information. Then, the sliding discrete Fourier transform (SDFT) algorithm was used to extract the amplitudes of the induced current components which could be used to get the real-time and initial rotor positions by a proportional integral (PI) regulator and a polarity identification. Lastly, with the established experiments’ platform, the estimation tests of the rotor position at a low speed have been completed to make verification of the effectiveness of the approach studied in this paper.
Robot-Assisted Rehabilitation for Children with Autism Spectrum Disorders

This research is the exploration of the social effects of human-robot interaction (HRI) on children with Autism Spectrum Disorders (ASD), inhabitants that has deficiencies in different types of social behavior. Different studies show that electronics gadgets and assistive robots have been shown to be a catalyst for improved social interaction in children with ASD. The paper also includes the summary work in later section, and a brief idea of robot prototype and previous implementation of software and interactive games that was used in our field experiment. Future studies will include more rigorous statistical testing and include larger sample sizes to further validate the intervention methodology described in this document.
Does crop succession and nitrogen splitting fertilization change the technological quality of common bean?

The crop succession and nitrogen splitting fertilization are managements that can affect the common bean technological quality and, consequently, the profitability of producer and the food biological value. The aim of this study was to evaluate whether crop succession and N splitting fertilization promote differences in the technological quality of common bean grains. The experiment was carried out during winter over two agricultural years in southeastern Brazil. A randomized block design was used in a split-plot scheme, with four replications. The plots were composed of three crop successional systems (maize sole, maize + Urochloa ruziziensis, U. ruziziensis sole) and the subplots contained nine combinations of N splitting fertilization at a rate of 90 kg·ha-1 N top-dressing in the phenological stages V3, V4, and R5 of the common bean and a control without fertilization. The evaluated variables were: sieve yield greater than or equal to 12 (SY ≥ 12), crude protein content, cooking time, and hydration ratio. Crop succession promotes differences in the technological quality of common bean; however, the N splitting fertilization did not change the technological attributes of grains. The highest technological quality of common bean was obtained after succession with U. ruziziensis sole, generating large size and crude protein content of grain, followed by the succession with maize + U. ruziziensis intercropping, and finally, the succession with maize sole. Therefore, the crop succession is a fundamental factor for obtaining common bean with higher technological quality, affecting the food biological value and the profitability of producers.
Aberystwyth University Understanding student information behavior in relation to electronic information services

This two part article establishes a model of the mediating factors that influence student information behavior concerning electronic or digital information sources that support their learning. The first part reviews the literature that underpinned the development of the research methodology for the JISC User Behavior Monitoring and Evaluation Framework, as well as the literature that has subsequently helped to develop the model over the five years the Framework operated in the UK, in five cycles of research that were adjusted to meet the emerging needs of the JISC (Joint Information Systems Committee) at the time. The literature review attempts to synthesize the two main perspectives in the research studies: 1) small scale studies of student information behavior; and 2) the studies that focus on the quantitative usage of particular electronic information services in universities, often including implications for training and support. As the review indicates, there are gaps in the evidence concerning the browsing and selection strategies of undergraduate students, and the interaction of some of the mediating influences on information behavior. The Framework developed a multi-method, qualitative and quantitative, methodology for the continued monitoring of user behavior. The paper discusses the methods used and the project management challenges involved. Concludes that intended impacts need to be specified carefully at the outset, and that a longitudinal study needs committed funding at the outset. A research project on information behavior, intended to inform current policymaking on infrastructure provision is inherently difficult as behavior changes lag behind provision. 1 The research described in this project was conducted under funding from the Joint Information Service Committee (JISC), UK. Student information behavior 3
Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review

Substantial progress in solar photovoltaic (SPV) dissemination in grid-connected and standalone power generation systems has been witnessed during the last two decades. However, weather intermittency has a non-linear characteristic impact on solar photovoltaic output, which can cause considerable loss in the system’s overall output. To overcome these inevitable losses and optimize the SPV output, maximum power point tracking (MPPT) is mounted in the middle of the power electronics converters and SPV to achieve the maximum output with better precision from the SPV system under intermittent weather conditions. As MPPT is considered an essential part of the SPV system, up to now, many researchers have developed numerous MPPT techniques, each with unique features. A Google Scholar survey from 2015–2021 was performed to scrutinize the number of published review papers in this area. An online search established that on different MPPT techniques, overall, 100 review articles were published; out of these 100, seven reviews on conventional MPPT techniques under shading or partial shading and only four under non-uniform solar irradiance are published. Unfortunately, no dedicated review article has explicitly focused on soft computing MPPT (SC-MPPT) techniques. Therefore, a comprehensive review of articles on SC-MPPT techniques is desirable, in which almost all the familiar SC-MPPT techniques have to be summarized in one piece. This review article concentrates explicitly on soft computing-based MPPT techniques under non-uniform irradiance conditions along with their operating principles, block/flow diagram. It will not only be helpful for academics and researchers to provide a future direction in SC-MPPT optimization research, but also help the field engineers to select the appropriate SC-MPPT for SPV according to system design and environmental conditions.
Concentration in Four Fish Species of Degele

Aims: To assess concentration of Total Petroleum Hydrocarbons (TPHs) in four common fish species of Degele community, Nigeria and estimate their dietary intake in the populace through the consumption of studied fish species. Study design: Factorial design. Place and Duration of Study: Degele, a fishing community in Sapele, Niger Delta, Nigeria between April to August, 2010. Methodology: Four species of fish namely Tilapia (Oreochromis niloticus), Catfish (Clarias gariepinus and Heterobranchus longifilis) and Liza falcipinis were collected from River Aqurinrin by the help of local fishermen. Fish were samples were stored at -20C until further analysis. The scales (O. niloticus) were sloughed off and muscle tissues were dissected. Gas chromatography with flame ionization detector (GC-FID) was used for the evaluation of TPHs. Dietary intake concentration was calculated by multiplying the PAHs concentration measured in each species of fish by the per capita consumption for Nigeria. Results: The concentration of aliphatic hydrocarbon in Clarias gariepinus ranged from nondetectable level of 0.001 to 46.7± 16.7 μg/kg wet weight. ; Heterobranchus longifilis (0.001 to 42.7 ± 17.4 μg/kg wet weight); Oreochromis niloticus (0.001 to 112327 ± 52-1 μg/kg wet wt); Liza falcipinis (0.001 to 29.0± 1.4 μg/kg wet wt). The highest level of aliphatic hydrocarbon concentration was obtained in Oreochromis niloticus. The less carcinogenic polyaromatic hydrocarbon of lower molecular weight (LMW PAHs) where were detected with clearly observed naphthalene detectedand its substituents in all thethe studied fish species. The more carcinogenic high molecular weight (HMW) PAHs (BaA, BbF, BkF, BaP,and InP) were not detected in the fish samples analysed. There was significant difference (P = 0.05) in the ΣAliphatic and ΣPAHs concentrations among the fish species. However, the levels are below EU recommended limit of 2μg/kg wet weight for edible fish. The average intake of PAHs through fish consumption was calculated to be 0.02 – 0.94 mg/kg body weight/day (O. niloticus), 0.02 – 0.12 mg/kg body weight/day (C. gariepinus), 0.12 – 0.16 mg/kg body weight/day (H. longifilis) and 0.14 – 0.58 mg/kg body weight/day (L. falcipinis). O. niloticus contributed to the highest intake. Conclusion: The observed levels of TPH in fish species from this study indicate that River Aqurinrin in Degele community is not highly contaminated with petroleum hydrocarbons. Therefore, Degele community is less exposed to carcinogenic health risks associated with the consumption of the studied fish. However, continuous monitoring programme should be formulated and conducted to ensure that the concentrations of petroleum hydrocarbons is within the baseline levels established in the present study.
A Machine-Learning Classification Tree Model of Perceived Organizational Performance in U.S. Federal Government Health Agencies

Perceived organizational performance (POP) is an important factor that influences employees’ attitudes and behaviors such as retention and turnover, which in turn improve or impede organizational sustainability. The current study aims to identify interaction patterns of risk factors that differentiate public health and human services employees who perceived their agency performance as low. The 2018 Federal Employee Viewpoint Survey (FEVS), a nationally representative sample of U.S. federal government employees, was used for this study. The study included 43,029 federal employees (weighted n = 75,706) among 10 sub-agencies in the public health and human services sector. The machine-learning classification decision-tree modeling identified several tree-splitting variables and classified 33 subgroups of employees with 2 high-risk, 6 moderate-risk and 25 low-risk subgroups of POP. The important variables predicting POP included performance-oriented culture, organizational satisfaction, organizational procedural justice, task-oriented leadership, work security and safety, and employees’ commitment to their agency, and important variables interacted with one another in predicting risks of POP. Complex interaction patterns in high- and moderate-risk subgroups, the importance of a machine-learning approach to sustainable human resource management in industry 4.0, and the limitations and future research are discussed.
Circulation: Cardiovascular Quality and Outcomes

Circ Cardiovasc Qual Outcomes. 2022;15:e008635. DOI: 10.1161/CIRCOUTCOMES.121. 008635 August 2022 Correspondence to: Sharon E. Davis, PhD, Vanderbilt University Medical Center, 2525 W End Ave, Ste 1475, Nashville, TN 37203. Email sharon.e. davis@vanderbilt.edu *R.J. Solomon is a second senior author. Supplemental Material is available at https://www.ahajournals. org/doi/suppl/10.1161/CIRCOUTCOMES.121. 008635. For Sources of Funding and Disclosures, see page 631. © 2022 American Heart Association, Inc. ORIGINAL ARTICLE
EVALUATION OF COLOR SPACES FOR UNSUPERVISED AND DEEP LEARNING SKIN LESION SEGMENTATION

The reliability of skin cancer diagnosis is dependent on accurate lesion segmentation. The choice of a color space in most contributions on skin lesion segmentation for melanoma detection are based on qualitative rather than quantitative approaches. User experience and theoretical properties of the color space are the two major factors influencing the choice of the color space. For this reason, it may be difficult to optimize segmentation accuracy. This paper evaluates the discrimination power of 5 color spaces and 16 color channels for two unsupervised approaches and a deep learning approach on the segmentation of skin lesion in dermatoscopy images. 600 dermatoscopy images with different levels of cluttering and occluding objects from two different databases were utilized. This study suggests that no single color space or color channel is most suitable in real-world scenarios. Therefore, this study can be regarded as a general framework to select a single or combination of color channels that will enhance the segmentation accuracy of images with different level of scene complexities and illumination variations.
Formulation of indoor air comfort index for office building [A case study in sub-district office]

The factor that needs have considered in the design and construction of an office building is worker comfort. This research was conducted to formulate the indoor air comfort index (IAC) by considering temperature, relative humidity, noise, light intensity, and odour. Measurements taken are temperature, noise level, and light intensity, while to measure odour impression, an odour hedonism scale was used. Weighting is carried out to determine the level of influence of each parameter based on 58 respondents. The weighting factors were obtained for temperature 0.28, relative humidity 0.16, noise 0.19, light intensity 0.22, and odour 0.15. The IAC index formula is the total multiplication between the index of each parameter and the weighting factor value. The IAC index is set at five levels, from very comfortable to uncomfortable. Based on the results of the calculation, the Sub-district head’s room and Secretary’s room obtained an IAC index of 4.1 (very comfortable), Government’s room and Economic Development’s room obtained an IAC index of 3.0, and PKK room got an IAC index of 2.6 (quite comfortable), and ten other rooms got an IAC index ranging from 3.1-3.8 (comfortable).
Distribution of microalgae as bioindicator for Sardinella lemuru in Bali Strait

The Bali Strait waters become a place for various development activities that connect Java Island and Bali Island so that it is thought to have an impact in the life of microalgae that play an important role in the wealth of their water resources. This study aims to explore the distribution of marine microalgae, which has the potential as a bioindicator for Sardinella lemuru, as well as their relationship with the environmental characteristics of the Bali Strait waters. The research was conducted at the 8 with different waters characteristic. The data obtained were analyzed using Principal component analysis (PCA) and Correspondence analysis (CA). Spatially, salinity, ammonia, nitrate and lutein have significantly different value between stations. Chaetoceros gracilis and Tripos lunula are the main food of selection for Sardinella lemuru as an indicator their presence, located at station 5 (Pang-pang Bay), characterized by high nitrate content which is thought to be utilized by these types of microalgae.
Former research and recent advances of metal-organic frameworks(MOF) for anti-cancer drug delivery

Cancer is one of the leading causes of death worldwide. A statistical result by the American Cancer Society shows that one-fourth of the deaths in America are due to cancer. Among various types of treatment for cancer, chemotherapy is the most widely studied one. The traditional method of implying both inorganic and organic as drug delivery systems for anti-cancer drug delivery in chemotherapy has their drawbacks. Thus, using a combined type of DDS, coordination polymers or metal-organic frameworks, brings new possibilities for research into the chemotherapy field. This review will discuss the unique properties of MOFs, which makes them suitable candidates for the drug delivery system. Also, the recent development of different metal-ion-based MOFs used as anti-cancer drug loading platforms is reviewed. In the end, the limitations and future perspectives of applications of MOFs in drug delivery are presented.
Interstellar Extinction and Polarization of Stars in the Open Cluster NGC 7160

We present polarimetric observations of stars in the field of the open cluster NGC 7160. The multi-wavelength UBVRI polarization measurements of 21 stars that we performed indicate that some of the observed stars follow the typical wavelength dependence indicative of polarization by selective extinction in the interstellar medium, while others display multi-wavelength dependence strikingly different from nominal behavior. Considering only the former stars, we obtained a value of R V = 3.01 ± 0.03 for the total-to-selective extinction ratio toward the cluster, almost identical to the nominal expected value. For the remaining stars we suggest that their wavelength dependence of polarization is most likely altered by the presence of circumstellar material. Patterns in both the wavelength dependence of the degree of polarization and position angle show similarities found in the wavelength dependence of some carbon stars and PMS stars. PMS stars in NGC 7160 have been identified by Gray & Corbally and the multi-wavelength polarization obtained here suggests additional candidates. The rotation of the position vectors for a number of stars seems indicative for mixing of intrinsic and interstellar polarization components. It seems, however, that intra-cluster dust does not play a significant overall role in the polarization of these stars. The distribution of the interstellar extinction with distance as obtained from dust maps supports this finding. We also present V-band polarization measurements for 78 stars in and around the central region of cluster. The polarization ranges from 0.12% to 3.75% with a median value of 1.23%. While the polarization vectors display some scatter, an overall alignment exists, which would indicate polarization by foreground interstellar dust. Using the Planck 353 GHz channel we find agreement between polarization by emission and selective extinction and also that the optical polarization traces a magnetic field that is nearly parallel to the Galactic plane in this region.