Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular marker information such as marker assisted selection (MAS) and genomic selection (GS) have been widely adopted to assist the development of improved genotypes. In general, the implementation of GS is not straightforward, and it usually requires cross-validation studies to find the optimum set of factors (training set sizes, number of markers, quality control, etc.) to use in real breeding applications. In most cases, these different scenarios (combination of several factors) vary just in the levels of a single factor keeping fixed the levels of the other factors allowing the use of previously developed routines (code reuse). In this study, we present a set of structured modules that are easily to assemble for constructing complex genomic prediction pipelines from scratch. Also, we proposed a novel method for selecting training-testing sets of sizes across different cross-validation schemes (CV2, predicting tested genotypes in observed environments; CV1, predicting untested genotypes in observed environments; CV0, predicting tested genotypes in novel environments; and CV00, predicting untested genotypes in novel environments). To show how our implementation works, we considered two real data sets. These correspond to selected samples of the USDA soybean collection (D1: 324 genotypes observed in 6 environments scored for 9 traits) and of the Soybean Nested Association Mapping (SoyNAM) experiment (D2: 324 genotypes observed in 6 environments scored for 6 traits). In addition, three prediction models which consider the effect of environments and lines (M1: E + L), environments, lines and main effect of markers (M2: E + L + G), and also the inclusion of the interaction between makers and environments (M3: E + L + G + G×E) were considered. The results confirm that under CV2 and CV1 schemes, moderate improvements in predictive ability can be obtained with the inclusion of the interaction component, while for CV0 mixed results were observed, and for CV00 no improvements were shown. However, for this last scenario, the inclusion of weather and soil data potentially could enhance the results of the interaction model.
Bode and Fano impedance matching

The Bode limit on bandwidth enhancement through use of an ideal impedance matching network does not allow changes in antenna reflection coefficient over the bandwidth. An exact correction factor is derived from the Fano limitations, yielding a simple modification to the Bode limit. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 875–877, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23244
Global Wet/Dry Patterns and Mechanisms Since the Last Glacial Maximum: A Key to Future Projection

Investigating the response mechanisms of long‐term global wet/dry pattern changes to cold/warm periods and climate forcings can provide scientific supports for the projection of future wet/dry patterns in the context of global warming. Here we present a systematic assessment into the response of global wet/dry patterns to cold/warm periods since the Last Glacial Maximum, and test the triggers for global wet/dry status change. Then we conduct an assessment of future global wet/dry patterns based on a thorough analysis of modern observations, paleoclimate simulations and records. Results show that regions following the hypothesis of “wet gets wetter, dry gets drier” (WWDD) account for 22.81% of the world's land area except Antarctica in the future. Regions complied with future “DD” pattern mostly concentrate in the parts of southwestern North America, southwestern South America, Mediterranean, northern Africa, southern Africa and Asia, covering 18.21% of the modern dry regions. Regions complied with future “WW” pattern occupy 25.41% of the modern wet regions, mainly distributing around the parts of northeastern South America, central Africa, western Russia, eastern Asia and northeastern Australia. Besides we investigate global wet/dry patterns during the abrupt climate change and find that global wet/dry patterns generally have the opposite status between abrupt warm and cold periods. If an abrupt cold event appears in the near warm future, it is likely that some parts of southwestern North America and Mediterranean in modern dry regions will be getting wet.
Has the Time Come to Stop Using the “Standardised Mean Difference”?

Background Most meta-analyses use the ‘standardised mean difference’ (effect size) to summarise the outcomes of studies. However, the effect size has important limitations that need to be considered. Method After a brief explanation of the standardized mean difference, limitations are discussed and possible solutions in the context of meta-analyses are suggested. Results When using the effect size, three major limitations have to be considered. First, the effect size is still a statistical concept and small effect sizes may have considerable clinical meaning while large effect sizes may not. Second, specific assumptions of the effect size may not be correct. Third, and most importantly, it is very difficult to explain what the meaning of the effect size is to non-researchers. As possible solutions, the use of the ‘binomial effect size display’ and the number-needed-to-treat are discussed. Furthermore, I suggest the use of binary outcomes, which are often easier to understand. However, it is not clear what the best binary outcome is for continuous outcomes. Conclusion The effect size is still useful, as long as the limitations are understood and also binary outcomes are given.
The Transition to Clean Energy: Are People Living in Island Communities Ready for Smart Grids and Demand Response?

Islands are widely recognised as ideal pilot sites that can spearhead the transition to clean energy and development towards a sustainable and healthy society. One of the assumptions underpinning this notion is that island communities are more ready to engage with smart grids (SGs) than people on the mainland. This is believed to be due to the high costs of energy on islands and the idea that the sense of community and collective action is stronger on islands than on the mainland. This paper presents findings from a survey conducted to assess people’s perception of, and readiness to engage with, SG and demand response (DR) in the communities of three islands taking part in a H2020 project called REACT. The main objective of the survey, conducted in 2020, was to inform the recruitment of participants in the project, which is piloting different technologies required for SGs and DR with communities on the three islands. The results show that many island residents are motivated to take part in SG, to engage with energy saving, and are willing to change some energy-related behaviours in their homes. However, the results also indicate that levels of ownership of, and knowledge and familiarity with, the SG and DR related technologies are extremely low, suggesting that the expected uptake of DR in islands might not be as high as anticipated. This brings into question the readiness of island dwellers for the SG, their role in the deployment of such schemes more widely and the validity of the assumptions often made about island communities. This has significant implications for the design of SGs and DR solutions for islands, including devoting sufficient efforts to build knowledge and awareness of the SG, investing in demonstration projects for that purpose and tailoring interventions based on island communities’ motivations.
A 3-D Calculation of Electromagnetic Field in a Multiphase Induction Motor

Three-dimensional finite element analysis of harmonic electromagnetic field in a large and complex structure 15-phase induction machine has been completed. Accurate 3D finite element machine model is established. The current density of stator and rotor and the entire vector flux density distribution are given, then been analyzed and explained. 3D air gap radial flux density is obtained and has been made harmonic analysis. We can get more accurate electromagnetic field distribution and performance parameters through 3D finite element calculation of electromagnetic field. This method can give theoretical basis for the multiphase machine development of new structure and can play reference in terms of structural optimization design.
An efficient multi‐swarm elephant herding optimization for solving community detection problem in complex environment

Detecting hiding communities is considered as a main topic in complex networks. In this article, we propose a multi‐swarm elephant herding optimization (EHO) algorithm to uncover community structures in complex environments. It adapts EHO algorithm to community detection problem. EHO algorithm relies on two procedures which are updating clan procedure and separating procedure. The main idea of our multi‐swarm approach is that the population is composed of a set of interacting clans. In each clan, a local search function is defined to determine best local individual called matriarch. Through updating clan procedure, the remaining individuals in the clan update their positions based on the matriarch position. In addition, to ensure significant individuals in the clan, a multi‐swarm cooperative algorithm is designed to implement separating procedure; clans interchange individuals to balance the exploration and exploitation abilities. A series of experiments are carried out on artificial and real networks. The results obtained by the proposed approach are better than the results obtained by some other approaches.
PIV Measurements of the Wake Formation from a Rough Flat Plate

Wake flows are prevalent in a wide range of engineering applications and their behaviour can significantly impact engineering design and performance. A considerable body of work exists on smooth body wake structures and flows over rough bodies, however, there is a lack of fundamental physical understanding of the amalgamation of the two fields. Two-component two-dimension particle image velocimetry (2C-2D PIV) is used to investigate the effect of surface roughness on the formation of large scale structures in the near wake of a thin flat plate. Both high-speed and low-speed, high-resolution PIV setups have been used to investigate the effect of surface roughness on the boundary layer and the near wake of the plate to gain insight into the underlying physical connection between these regions.
Medication discrepancies in a hospital in Southern Brazil: the importance of medication reconciliation for patient safety

Medication discrepancies are of great concern in hospitals because they pose risks to patients and increase health care costs. The aim of this study was to estimate the prevalence of inconsistent medication prescriptions to adult patients admitted to a hospital in southern Santa Catarina, Brazil. This was a patient safety study on patients recruited between November 2015 and June 2016. The participants were interviewed and had their medical records reviewed. Discrepant medications were considered those that did not match between the list of medicines taken at home and the prescribed drugs for treatment in a hospital setting. Of the 394 patients included, 98.5% took continuous-use medications at home, with an average of 5.5 medications per patient. Discrepancies totaled 80.2%, The independent variables associated with the discrepancies were systemic arterial hypertension, hypercholesterolemia, vascular disease, number of medications taken at home, and poor documentation of the medications in the medical record. Findings from this study allowed us to conclude there was a high rate of prescription medication misuse. Medication reconciliation is crucial in reducing these errors. Pharmacists can help reduce these medication-related errors and the associated risks and complications.
A review on vaccines – benefits and risks

The article outlines the benefits and risks of vaccines. Vaccine safety and myths and misinformation, the general review of the importance of the vaccines. Steps involved in the Development of Vaccines and also illustrates the immunization importance and its disadvantages. Administration of vaccines in different age groups. Classification of different available vaccines in the health market. Also stating the possible adverse drug reactions / potential side effects of the vaccines and their monitoring and management of adrs. We concluded that Vaccine acceptance must be widespread in order to provide herd immunity so that individuals who cannot be directly protected by vaccination are protected by communal immunity. The danger is quite low, and the advantages of vaccinations usually outweigh it.
Numerical Investigations into the Effects of Multiple Parameters on Nonlinear Piezoelectric Vibration Energy Harvesters

It is very promising to improve the performance of piezoelectric vibration energy harvesters (PVEHs) using nonlinearities in energy harvesting applications. However it is almost impossible to analytically obtain their nonlinear dynamic behaviors. The goal of this paper is to investigate the relations among power outputs, vibration characteristics, and systematic nonlinearities by numerical analysis. A mathematical model of nonlinear PVEH is built by combining nonlinear damping, stiffness, and piezoelectric coupling coefficient. An iterative algorithm is proposed to solve the nonlinear model. Then the effects of these nonlinear parameters on the performance of the PVEH are studied deeply. The results demonstrate that the power output of a nonlinear PVEH will be overestimated or subestimated using a linear model. And nonlinearities can be used for broadband and low frequency vibration energy harvesting.
Public parts, resocialized autonomous communal life

Commoning embodies the product of social contracts and behaviors between groups of individuals. In the case of social housing and the establishment of physical domains for life, commoning is an intersection of these contracts and the restrictions and policies that prohibit and allow them to occur within municipalities. Via a platform-based project entitled Public Parts (2020), this article will also present positions on the reification of the common through a set of design methodologies and implementations of automation. This platform seeks to subvert typical platform models to decrease ownership, increase access, and produce a new form of communal autonomous life amongst individuals that constitute the rapidly expanding freelance, work from home, and gig economies. Furthermore, this text investigates the consequences of merging domestic space with artificial intelligence by implementing machine learning to reconfigure spaces and program. The problems that arise from the deployment of machine learning algorithms involve issues of collection, usage, and ownership of data. Through the physical design of space, and a central AI which manages the platform and the automated management of space, the core objective of Public Parts is to reify the common through architecture and collectively owned data.
A case study of the improvements gained in conduit efficiency by cleaning a biofouled pipeline

Abstract The hydraulic performance of pipelines can be significantly affected by the presence of biological growth on internal surfaces. The change in wall roughness brought about by biofilms has been studied by the use of headloss tests, pre-and post-cleaning, of a low pressure hilltop pipeline of a Hydro Tasmanian hydroelectric scheme. Results of the headloss tests show that improvements to hydraulic efficiency can be achieved from the cleaning of biofouling material, and that identifying the flow velocities at which hydraulically smooth, transitional or rough conditions occur can aid in optimising the operating characteristics of the conduit. Results show both reductions in headloss and improvements in power output at the powerstation at given flow rates. The data when plotted in the style of a Moody diagram shows that the friction law, roughened by biological growth, is observed to deviate from the Colebrook-White relationship, although the results are too narrow in Reynolds number to be conclusive. It was found that bacteria made up the majority of the biofilm biomass in the pipeline studied. Based on molecular analysis, members of the class Alphaproteobacteria were the most frequently detected followed by members of the phylum Chloroflexi. Chemical analyses found high levels of iron, manganese and aluminium in the biofilm.
Enhancement of Data Quality in the Information Systems within Organization

Abstract: To introduce unified information systems, this will provide different establishments with an insight on how data related activities take place and there results with assured quality. Considering data accumulation, replication, missing entities, incorrect formatting, anomalies etc. can come to light in the collection of data in different information systems, which can cause an array of adverse effects on data quality, the subject of data quality should be treated with better results. This paper inspects the data quality problems in information systems and introduces the new techniques that enable organizations to improve their quality of data. Keywords: Information Systems (IS), Data Quality, Data Cleaning, Data Profiling, Standardization, Database, Organization
A hydrodynamic approach to address Yamuna riverbed development in Delhi

Most critical flood problems occur in urban areas where values at risk are higher and damages tend to be heavier. In the present study, a hydrodynamic simulation of the river Yamuna has been generated under different designated flood flows to delineate the land availability under existing and modified riverbed geometry including channel dredging and riverbed dressing. Flood flows for various return periods, namely once in 10, 25, 50, and 100 years are estimated based on the past 41 years of recorded data using flood frequency analysis. The model set up considered the river stretch of 23 km from the Wazirabad barrage upstream to the Okhla barrage downstream, which includes manmade structures like bridges and barrages. Model calibration is achieved by comparing the water surface elevations with observed data at various downstream gauge stations. The land availability based on submergence scenarios under existing riverbed condition is estimated to be 1147.6, 873.1, and 762.6 ha, respectively, for 10, 50, and.
Study on Construction of Tyre Tread Pattern Mold and its Machining with 3-Axis Numerical Control

Tyre tread pattern mainly accounts for tyre performance and its endurance. In tyre mold processing, pattern block processing is technologically disturbing, of which the tread pattern is the most challenging. This article first analyses the function conversion of the points from point to plane to space along the tyre tread curve. Aided by GRIP language, it continues to make tread section with spatial curve, and then with the help of UG scanning order, it produces a three-dimensional diorama of accurate tyre pattern. To solve the problem of large errors arising in tyre mold processing with 3 axis numerical control technology, the article proposes a new method to produce tyre tread pattern with 3 axis technology and validates the method. The research contributes to dividing processing of tyre tread pattern, and reducing errors theoretically. Experiments had been done to illustrate that the method can achieve high quality and efficient processing.
Improving Work Climate in a Residential Setting for Juveniles with Mild Intellectual Disability through Training of Staff in Non-violent Resistance

ABSTRACT In residential settings for juveniles with Mild Intellectual Disability (MID) employees have to face tough work conditions, because of frequent aggressive incidents Eventually, this might result in a negative work climate, high staff-turnover and absenteeism. In turn, it hampers a positive therapeutic environment for youngsters. A method that may endorse a better work climate is Non-violent Resistance (NVR). As earlier research suggests that the residential NVR, adjusted for juveniles with MID, is successful in diminishing aggressive incidents and improving group climate, we hypothesize that NVR-MID will be also effective in enhancing work climate. We investigated the perception of work climate by staff of three residential settings before, during and after implementation of NVR-MID. Work climate was assessed both quantitatively and qualitatively. Outcomes were subsequently integrated. Quantitative data was collected using the Living Group Working Climate Inventory (LGWCI). Multilevel analyses were carried out to analyse the development of work climate over time. Qualitative data were collected via semi-structured interviews with NVR-MID trained staff and analysed through qualitative coding. Quantitative results showed that Job Satisfaction decreased after NVR-MID implementation. However, within qualitative reports, staff members experienced a positive influence on work climate of NVR-MID.
AN APPROACH FOR APPLYING DYNAMIC VOLTAGE SCALING WITH FAULT TOLERANCE IN FIXED PRIORITY MULTI-CORE REAL TIME SYSTEMS

Multi-core processors are now dominating in real time systems due to energy and thermal considerations. Fixed priority scheduling with task splitting in multi-core real time system has been taken into account widely and dynamic voltage scaling has also been considered as in (7). Current approaches have not taken into consideration approaches such as fault tolerance. In this paper, we try to achieve energy savings by dynamic voltage scaling and fault tolerance by checkpointing.
Crosstalk tolerant latch circuit

The work presents a D-latch sequential circuit that exhibits an elevated degree of tolerance to common and differential mode noise in the clock lines. For these lines the noise tolerance overruns the power supply voltage (Vdd). In the fraction of the tolerance range with the highest level of noise the circuit becomes a dynamic latch preserving the circuit from the propagation of errors. The circuit and the design rules presented, are oriented to VLSI circuit design in which crosstalk interferences might be foreseen.
The effects of hand phantom on mobile phone antenna OTA performance

Four commercial phones of significantly different construction are used to investigate the effect of hand phantom on mobile phone antenna over-the-air (OTA) performance. The parameters of the hand phantom include homogeneity of hand phantom, material properties, size, size and positioning of wrist, grips, i.e. the positions of fingers and palm with respect to the phone. The simulation results show that the grip of hand phantom is the most important parameter regarding to antenna performance. (5 pages)
Current saturation and small-signal characteristics of GaAs field-effect transistors

The model previously proposed by Turner and Wilson is developed in detail and compared with experiment. Deviations from Shockley's classical theory can be accounted for in terms of a single quantity Γ, which is related to E m the peak field for GaAs. A discussion of the physical mechanism of current saturtation shows that the formation of domains within the channel is hampered in a conventional GaAs FET. A y -parameter analysis is presented that permits calculation of transconductance and the unity current gain frequency f T . Measurements of drain current, transconductance, and f T versus gate voltage all show good agreement with values predicted by the theory. Estimates are given which show that the current saturation mechanism described will be important in the design of GaAs microwave FET's.