Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Saffl ower Germplasm with Increased Saturated Fatty Acid Content

Saffl ower (Carthamus tinctorius L.) oil with high concentration of saturated fatty acids has potential applications in the food industry. So far only germplasm with increased stearic acid content (50–120 g kg–1), controlled by alleles at the locus St, has been developed. The objectives of the present research were to evaluate saffl ower germplasm for saturated fatty acid content, to isolate lines with increased levels of palmitic acid and stearic acid, to study the inheritance of both traits, and to evaluate the feasibility of recombining them. Germplasm evaluation and further selection led to the isolation of the line CR-50 with increased palmitic acid content (98.2 ± 7.9 g kg–1 vs. 64.0 ± 3.4 g kg–1 in the check) and the line CR-13 with increased stearic acid content (92.8 ± 9.2 g kg–1 vs. 22.2 ± 3.4 g kg–1 in the check). Inheritance studies including evaluation of F1, F2, and F3 seed generations from crosses with the nuclear male-sterile line CL1, with conventional fatty acid profi le, suggested that increased palmitic acid content was determined by additive alleles at a single locus Pa, whereas stearic acid content was controlled by partially recessive alleles at a single locus, probably St. Recombination of pa and st alleles produced transgressive segregants with 211.3 ± 14.6 g kg–1 saturated fatty acids, compared with 149.6 ± 14.0 g kg–1 in CR-50, 159.7 ± 8.0 g kg–1 in CR-13, and 89.3 ± 4.9 in the line CL1. These are the highest levels of saturated fatty acids reported so far in saffl ower. Instituto de Agricultura Sostenible (CSIC), Apartado 4084, E-14080 Córdoba, Spain. Received 29 Jan. 2008. *Corresponding author (ia2veval@uco.es). Published in Crop Sci. 49:127–132 (2009). doi: 10.2135/cropsci2008.01. 0062 © Crop Science Society of America 677 S. Segoe Rd., Madison, WI 53711 USA All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher. Published January, 2009
Analysis of Lossy Multiconductor Transmission Lines (MTL) Using Adaptive Cross Approximation (ACA)

─ In this article, an efficient adaptive cross approximation (ACA) algorithm is employed for the lossy of MTL such as propagation matrix, attenuation loss, dielectric loss and characteristic impedance are evaluated. ACA solver is stable and convenient to solve the compression and approximation of low-rank matrix because adaptive refinement is used to generate the optimal mesh. The integral equation (IE) solver along with adaptive cross approximation (ACA) is used to reduce the computational time and memory size. In the proposed algorithm, the complexities become linear. Therefore, the ACA provides less memory size and less computation cost. The results are compared with the latest state of the art existing work for validation. Index Terms ─ Adaptive cross approximation, attenuation constant, characteristic impedance, integral equation, losses in multiconductor transmission line (MTL), propagation constant.
Role of colour Doppler in evaluation of venous abnormalities of lower limb

Although clinical diagnosis is the cornerstone of the diagnosis of lower limb venous disease. Colour Doppler ultrasound has become the investigation of choice to confirm the diagnosis. 2 Its easy availability, cost effectiveness and precision in achieving a diagnosis make it a versatile tool in the armamentarium available for the clinician to use. 3 The various manoeuvres like Valsalva, distal compression is simple yet effective in enhancing the diagnostic ability by changing the flow dynamics. This study described the various lower limb venous abnormalities using colour Doppler ultrasound and compared the findings with surgical findings.
Suggesting the best bundle for dairy products based on consumers’ purchase behavior

Product bundling can be attractive for consumers and also be profitable as a marketing strategy. Based on the importance of this promotion strategy, this study estimated the effect of features on consumers’ purchase preferences among 16 dairy products available in the assortment of a popular brand by using a d-level nested logit model. Data about consumer preferences were collected from a sample of dairy products consumers in Sari City, Iran in 2018. By using the results of preferences, this study ran an optimisation algorithm according to a maximum profit criterion and suggested the best bundle for dairy products. Based on the algorithm results, the bundle including 4 out of the 16 available products had the maximum expected profit. This paper found that the profit of selling this product bundle is higher than the profit that could be obtained selling these products separately.
Team-Based Integrated Knowledge Translation for Enhancing Quality of Life in Long-term Care Settings: A Multi-method, Multi-sectoral Research Design

Multi-sectoral, interdisciplinary health research is increasingly recognizing integrated knowledge translation (iKT) as essential. It is characterized by diverse research partnerships, and iterative knowledge engagement, translation processes and democratized knowledge production. This paper reviews the methodological complexity and decision-making of a large iKT project called Seniors - Adding Life to Years (SALTY), designed to generate evidence to improve late life in long-term care (LTC) settings across Canada. We discuss our approach to iKT by reviewing iterative processes of team development and knowledge engagement within the LTC sector. We conclude with a brief discussion of the important opportunities, challenges, and implications these processes have for LTC research, and the sector more broadly.
Analysis on Guide Vane Closure Schemes of High-Head Pumped Storage Unit during Pump Outage Condition

When the pumping operation of pumped storage unit suffers from power outage, the hydraulic transient poses a serious threat to the safe operation of the unit and its pressure pipeline system. For high-head pumped storage power station (PSPS), the water hammer pressure (WHP) and rotational speed rise ratio (RSRR) of each hydraulic unit will be increased during the pump outage condition. In order to limit the fluctuation of rotational speed and WHP in power-off condition, optimizing and choosing a reasonable guide vane closure scheme (GVCS) is an economic and efficient means to improve the dynamic characteristics of pumped storage unit. On the basis of the calculation model of the transition process of single tube-double unit type of a high-head PSPS, an optimization model of GVCS balancing WHP and RSRR objectives is established. Furthermore, the two-stage broken line and three-stage delayed GVCSs are applied to the pump outage condition, and the nondominated sorting genetic algorithm-II (NSGA-II) is introduced to calculate the optimal solution set under different water heads and different closure schemes. For four typical water heads, the multiobjective optimization results of the closure law show that the two-stage broken line law has a better Pareto front under high water head, while the three-stage delayed law has a better performance under low water head. Furthermore, through the results of transition process of typical schemes, the adaptability of GVCS and water head is analyzed. The method proposed in this paper can make the RSRR not more than −0.89, and the three-stage delayed law can even make the RSRR only −0.01. Methods of this paper provide a theoretical basis for optimum guide vane closure mode setting of PSPS.
A Nail-size Piezoelectric Energy Harvesting System Integrating a MEMS Transducer and a CMOS Interface Circuit

Piezoelectric vibration energy harvesting has drawn much interest to power distributed wireless sensor nodes for Internet of Things (IoT) applications where ambient kinetic energy is available. For certain applications, the harvesting system should be small and able to generate sufficient output power. Standard rectification topologies such as the full-bridge rectifier are typically inefficient when adapted to power conditioning from miniaturized harvesters. Therefore, active rectification circuits have been researched to improve overall power conversion efficiency, and meet both the output power and miniaturization requirements while employing a MEMS harvester. In this paper, a MEMS piezoelectric energy harvester is designed and cointegrated with an active rectification circuit designed in a CMOS process to achieve high output power for system miniaturization. A MEMS energy harvester of 0.005 cm size, co-integrated with the CMOS conditioning circuit, outputs a peak rectified DC power of 40. 6μW and achieves a record DC power density of 8.12mW/cm when compared to state-of-the-art harvesters.
The Effects of PAD, DAU, and Employee Expenses on Capital Expenditures with Population Density as a Moderating Variable

2019 Abstract The aims of this study are to analyze the effect of PAD, DAU, and employee expenses on capital expenditure with population density as a moderating variable. The main theories are stewardship and resource dependency theory. The population is 35 districts/cities in Central Java in 2013-2017. There are 175 units that chosen by saturated sampling method. There are 14 of outlier data. Thus, there are 161 unit of analysis. The analytical tools used are descriptive statistic, inferential analysis, and MRA. The results showed that PAD have positive and significant effect on the capital expenditure, DAU does not have significant effect on the capital expenditure, employee expenditure does not have negative and significant effect on the capital expenditure. Population density can moderate the effect of PAD on the capital expenditure. However, population density cannot moderate the effect of DAU and employee expenses on the capital expenditure. The conclusions are PAD has a significant positive effect on the capital expenditure and employee expenses have a significant negative effect on the capital expenditure. It can be a reason that regional governments must increase PAD and reduce employe expenses for capital
Random Walk Behaviour of Malaysia Share Return in Different Economic Circumstance

This journal renders the random walk behaviour of the Malaysian daily share return, through tests of efficient market hypothesis (EMH) based on three different financial periods, namely growth, financial crisis, and recovery period. This review also covers the behaviour of extreme return for weekly and monthly series generated from Block maxima-minima method. Autocorrelation Function test (ACF) and Ljung-Box test had been employed to measure average correlation between observations, while Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), Kwiatkowski Phillips Schmidt Shin (KPSS) test had been used to scan the unit root and the stationarity. Multiple variance ratio tests had also been conducted to examine the random walk behaviour. Serial correlation test indicated that the movement of daily return during the financial crisis period was weak-form efficiency. The unit root and stationary tests suggested that each daily series was stationary, but trend stationary for extreme cases. Variance ratio tests indicated that the return during the recovery period was weak-form inefficiency due to the short lag autocorrelation in series.
Comparative study of three MPPT methods for Photovoltaic systems

In order to ensure that the photovoltaic (PV) module always operates at the maximum power point for any weather conditions, a maximum power point tracking (MPPT) system is indispensable. This paper presents a comparative analysis of three methods MPPT: Perturb and observe (P&O), Fuzzy Logic Controller (FLC) and Backstepping Controller. The parameters considered for the comparison are the performance of these MPPTs such as the extracted power from the PV system, steady and dynamic response of the system under various conditions like changing solar irradiance or temperature. Simulations results, obtained by using MATLAB/Simulink, shown that the MPPT controller based on the Backstepping technique is the most robust controller under changing conditions.
The phylogeny of Mycoplasma bovis from pneumonic goats based on16S rRNA Sequences in El-Salam Canal at northern Sinai Governorate

Mycoplasma bovis (Mb) is significantruminant respiratory pathogen of economic importance. This study determined the incidence of isolation of Mb in association with pneumonia based on respiratory manifestation in goats and examined the antigenic variability between same species of Mb in El-Salam Canal at northern Sinai Governorate. Three hundred and thirty five samples were collected from goats suffering from respiratory manifestations (274 nasal swabs and 61 lung tissue). The samples were subjected to Mycoplasma (M) and Mb isolation by culture and polymerase chain reaction (PCR) based on 16S rRNA gene specific primers. Mb was recorded in 8% and 9.8% and 11.4% and16.4% from nasal swabsand pneumonic lungs to the total no. of samples by culture and PCR respectively. Results revealed that, Mb. is one of the important pathogen causing pneumonia in goats. In additions, there was great dissimilarity of 16S rRNA gene between isolated strains and the isolates was harboring a novel genotype. Histopathological findings supported the mycoplasmic lesions. This research provides the first evidence of isolation and identification of Mb from the nasal swabs and lungs of goats with respiratory problems. The study showed for the first time the sequence analysis of 16S rRNA gene of this pathogen isolated from pneumonic goats in this area.
Consumer Perceptions of Private Label Brands in Pakistan

As the world market share of private label brands (PLBs) increases, so does the importance of and need for research in this field. Given the growing presence of PLBs in Pakistan, this study aims to examine the effects of service quality on PLB image, which we hypothesize affects purchase intention and brand loyalty. We also measure the mediating effect of perceived risk on the relationship between PLB image and purchase intention. Based on a sample of 348 respondents, we apply a structural equation model and find that (i) service quality has a positive effect on PLB image, (ii) PLB image has a positive effect on purchase intention, (iii) PLB image has a positive relationship with perceived risk, although this does not mediate the relationship between PLB image and purchase intention, and (iv) purchase intention translates positively into brand loyalty.
Safety Training and Competence, Employee Participation and Involvement, Employee Satisfaction, and Safety Performance: An Empirical Study On Occupational Health And Safety Management System Implementing Manufacturing Firms

The objective of the study is to investigate the relationships between safety training and competence, employee participation and involvement, employee satisfaction, and safety performance. Data were collected from 128 manufacturing firms implementing the Occupational Health and Safety Management System in Turkey. The data were analysed through respectively exploratory and confirmatory factor analysis. The findings indicated that safety training and competence has a significant positive effect on employee participation and involvement; while employee participation and involvement has a significant positive effect on employee satisfaction; and safety performance has a significant positive effect on employee satisfaction. Furthermore, it was also found that employee satisfaction is indirectly affected by safety training and competence through employee participation and involvement.
Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs

Predicting students’ academic performance is one of the older challenges faced by the educational scientific community. However, most of the research carried out in this area has focused on obtaining the best accuracy models for their specific single courses and only a few works have tried to discover under which circumstances a prediction model built on a source course can be used in other different but similar courses. Our motivation in this work is to study the portability of models obtained directly from Moodle logs of 24 university courses. The proposed method intends to check if grouping similar courses by the degree or the similar level of usage of activities provided by the Moodle logs, and if the use of numerical or categorical attributes affect in the portability of the prediction models. We have carried out two experiments by executing the well-known classification algorithm over all the datasets of the courses in order to obtain decision tree models and to test their portability to the other courses by comparing the obtained accuracy and loss of accuracy evaluation measures. The results obtained show that it is only feasible to directly transfer predictive models or apply them to different courses with an acceptable accuracy and without losing portability under some circumstances.
Konstantinos Bikos1, Nikolaos Tsigilis1,2, Vassilis Grammatikopoulos3

Greek teachers who are appointed for the first time in public schools on a permanent basis have to attend an introductory training program. The present study investigated the effect of this program on teacher’s self-efficacy beliefs. Participants were 237 teachers from various disciplines employed in primary and secondary education. The Teachers’ Sense of Efficacy Scale (TSES, Tschannen-Moran & Woolfolk Hoy, 2001) was used to measure three dimensions of teachers’ competence beliefs, efficacy for instructional strategies, for classroom management and for student engagement. The TSES was administered twice, once before the beginning of the training program and once after the completion of the first phase. Doubly repeated measures analysis showed a significant and a meaningful increase in efficacy for classroom management and a tendency for positive shift in efficacy for student engagement. It was concluded that the first phase of the training program enhanced teachers’ beliefs in their capabilities.
Using Photon Entanglement as a Fundamental Resource in Experimental Physics

In this thesis, I describe two experiments related to the use of entangled photon pairs within metrology and quantum key distribution (QKD). In relation to metrology, we investigate a clock synchronization scheme based on the coincidence detection of entangled photons. With the high pair rates of modern entangled photon sources, timing uncertainties due to jitter in the photon detectors and data acquisition system can be made almost arbitrarily small. We show that our setup is able to measure the time drift between remote clocks within 1 ps over sampling times smaller than 1 s, essentially being limited by the 1 ps counting resolution of our time tagger units. Within the laboratory frame, we perform a proof-of-principle test, intended to explore the synchronization scheme as a tool for measuring gravitational time dilation. This inevitably failed due to the required stability of our rubidium standard atomic clocks. Nevertheless, the synchronization scheme is shown to accurately measure the frequency instability of our timing standards, demonstrating that the scheme is feasible to work over larger height differences or with more stable clocks. Additionally, as a sanity check of the photon source, the presence of polarization entanglement was verified with a Bell inequality test showing a maximal violation of S = 2.81± 0.01. The second experiment I describe is dedicated to the implementation of a free-space QKD link, stretching 10.2 km across the skyline of Vienna. We investigate here a noise robust QKD protocol, based on hyperentangled photon states analyzed with a post-selection free Franson interferometer. With proof-of-principle measurements from the lab, Franson interference is demonstrated with a visibility of 92%. I further discuss the design choices that were made in order to prepare the receiver module for a free-space link. In terms of this, ensuring the transmission stability of the link despite the effects of atmospheric turbulence is a prominent engineering challenge. The magnitude of turbulence across our link is assessed with a differential image motion monitor (DIMM) integrated in the receiver module. For the long-term stability of the link, I present a bidirectional tracking scheme, correcting the angle of our transmitter module and receiver module in a closed feed-back loop to ensure optimal transmission stability.
Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging

Brain network analysis using functional magnetic resonance imaging (fMRI) is a widely used technique. The first step of brain network analysis in fMRI is to detect regions of interest (ROIs). The signals from these ROIs are then used to evaluate neural networks and quantify neuronal dynamics. The two main methods to identify ROIs are based on brain atlas registration and clustering. This work proposes a bioinspired method that combines both paradigms. The method, dubbed HAnt, consists of an anatomical clustering of the signal followed by an ant clustering step. The method is evaluated empirically in both in silico and in vivo experiments. The results show a significantly better performance of the proposed approach compared to other brain parcellations obtained using purely clustering-based strategies or atlas-based parcellations.
Profiles of Plasmids in Lactobacilli Isolated from Fermented Foods

Biochemical tests were used for identification of 105 isolates of lactobacilli isolated from 24 fermented foods. The dominant species found were Lactobacillus fermentum, L. plantarum and L. brevis. Plasmids profiles of these isolated lactobacilli were further investigated. Interestingly, only twelve bacterial isolates containing plasmids were detected (11.43 %). Their plasmid patterns were variable with plasmid bands ranging from six to eight. Furthermore, these plasmid harboring lactobacilli were evaluated by 16S rRNA gene sequencing.
Global Protectionism and Port Logistic Demand

Various risks and uncertainties are strengthening the downside of the global economy. This paper aims to estimate the impact of US-China conflict and the WTO Appellate Body's shutdown on global logistics demand and to show the seriousness of the situation. Existing literature studies on protectionism or US-China trade conflict, with a focus on the effects of specific issues or impact on bilateral relations. No research has considered the adverse effects of the WTO Appellate Body's shutdown. This paper considers both US-China conflict and the installation of new NTBs in other countries due to weakened WTO function, and tries to suggest that the combination of tariffs and NTBs can severely reduce international trade and the demand for maritime logistics services, making this paper differs from previous studies. This paper suggests that a catastrophe could occur in global maritime logistics, based on quantitative estimates for the impact of global protectionism. Finally, underlining that the international trade order should not seriously be damaged, this paper proposes that countries around the world should seriously discuss this issue at the 12th WTO Trade Ministers' Meeting in Kazakhstan June 2020.