Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial distribution of flower colour polymorphism in Iris lutescens

ABSTRACT Iris lutescensis a common species occurring mainly in dry limestone habitats in Western Italy, Southern France, and Spain. The species shows a remarkable polymorphism for flower colour, and yellow and purple flowers can be found in the same population. As the species is a deceptive one, the previous studies on the maintenance of such a polymorphism were linked to its pollination ecology. Here, I reported on the spatial distribution of the polymorphism and showed that Spanish populations are mostly purple monomorphic. In contrast, populations in the South of France and Italy show the complete range, from 0 to 1, for the frequency of yellow morph, and the spatial autocorrelation for morph frequencies is very low. To go further, correlations between morph frequencies and abiotic factors, such as bioclimatic variables, UV irradiance, and aridity, were studied. On the whole, the spatial distribution of the frequency of yellow morph can be hardly explained by the contributions of these abiotic variables, and historical contingencies, including the phylogeography of the species have to be invoked, in particular, to explain the absence of polymorphic populations in Spain.
THE CRYSTAL STRUCTURE OF SODIUM FLUOSILICATE

A study by x-ray diffraction showed that Na2SiF 6 is hexagonal (trigonal) with a= 8.859, c = 5.038 A (each± 0.002 A), Z = . 3, -- -! x = 2. 74 g em -3. The space group is ~321. The SiF 6 groups are almost regular octahedral'with Si-F = 1.695 A (corrected for I. thermal motion). Each sodium has 6 fluorine at the corners of a considerably distorted octahedron. with data from a twinned specimenwhi~h 'contained of the two orientations.
Person Identification and Imposter Detection Using Footstep Generated Seismic Signals

In this work, we propose a novel, unconstrained biometric authentication system that utilizes footstep generated seismic waves. It has the following advantages over existing systems: 1) it does not require any special orientation or positioning of the individual for authentication and 2) seismic data do not interfere with the individual’s privacy. We curate an indigenous data set containing ~78 000 footstep events collected from 8 individuals in three types of surfaces (concrete tile floor, carpet floor, and wooden floor) to validate the robustness of the proposed system. It is also capable of detecting unauthorized/unregistered individuals (imposters). To mimic realistic scenarios for imposter detection, the models are trained only with the footstep data of registered users (footsteps of unregistered users are completely unknown/unseen to the trained models), thus achieving imposter detection for footstep-based person identification. We achieved an accuracy of 90% (in a concrete tile floor and wooden floor) and 94% (in carpet floor) for person identification by using features from as low as two consecutive footsteps. For imposter detection, we achieved an accuracy of 76%–80% (in a concrete tile floor and wooden floor) and 87% (in carpet floor) by utilizing features from 10 consecutive footsteps.
Freezer: A Specialized NVM Backup Controller for Intermittently Powered Systems

The explosion of IoT and wearable devices determined a rising attention toward energy harvesting as source for powering these systems. In this context, many applications cannot afford the presence of a battery because of size, weight, and cost issues. Therefore, due to the intermittent nature of ambient energy sources, these systems must be able to save and restore their state, in order to guarantee progress across power interruptions. In this work, we propose a specialized backup/restore controller that dynamically tracks the memory accesses during the execution of the program. The controller then commits the changes to a snapshot in a nonvolatile memory (NVM) when a power failure is detected. Our approach does not require complex hybrid memories and can be implemented with standard components. Results on a set of benchmarks show an average <inline-formula> <tex-math notation="LaTeX">$8\times $ </tex-math></inline-formula> reduction in backup size. Thanks to our dedicated controller, the backup time is further reduced by more than <inline-formula> <tex-math notation="LaTeX">$100\times $ </tex-math></inline-formula>, with an area and power overhead of only 0.4% and 0.8%, respectively, with respect to a low-end IoT node.
Non-Contact Multi-Subject Human Gait Analysis Using A State-Space Method With Enhanced 1-D Block Representation

A stepped-frequency continuous-wave (SFCW) radar system with adequate pulse repetition frequency (PRF) is developed to track relatively fast motions from various parts of the human body, separately. Robust signal processing technique is utilized, where a 1-D block processing technique, based on state-space method (SSM) is developed in two dimensions to form an enhanced Hankel matrix to track human motions from two-dimensional (2-D) data collected using the developed SFCW radar system in single- or multi-subject motion scenarios. Experimental datasets are used to track body parts’ motions and velocities with high accuracy. The significant improvement, besides de-noising the data, is due to the fact that applying the 1-D block processing technique to 2-D dataset matrix accounts for the correlation between motion's estimates from consecutive frames. Results agree well with our reference, the human Boulic model.
THE ROLE OF FINANCIAL DEVELOPMENT ANDMANUFACTURING SECTOR EXPANSION ONEMISSION REDUCTION FOR SUSTAINABLEECONOMIC DEVELOPMENT IN THE WORLDSBIGGEST EMITTER ASIA

Manufacturing has played an imperative role on worlds economic development even in Asia. Massive expansion of this industrialization impact, enforces Asia to be the worlds biggest emitter because of the presumption as the major determinant of Carbon dioxide (Saidi & Mbarek) emissions. Instead of expected to accelerate high economic growth, it has left a harmful impact which threaten our environment sustainability. On the other side, the effect of globalization stimulates the evolution of financial development with debatable impact on the environment. Some argues that financial development supplies additional funding to boost production economic of scale particularly in manufacturing sector resulting CO2 emissions enhancement. On the contrary, the others assumes that environmentally friendly technology supported by adequate financial development can stimulate efficient production process which can protect the environment. Therefore, this study aims to analyze the effect of manufacturing sector expansion and financial development on CO2 emissions in Asia during 2009-2018 by using System Different Generalized Method of Moment (Sys-GMM) dynamic panel model. This study result shows that financial development negatively effects CO2 emissions, moreover it can minimize negative effect of manufacturing sector expansion on CO2 emissions reduction in line with the actualization of the 13th goal of Sustainable Development Goals (SDGs).
A Gait Assessment Framework for Depression Detection Using Kinect Sensors

As depression becomes more commonplace in society, the timely and effective detection of the signs of depression for its prevention and early treatment becomes more important. Gait analysis can provide a contactless and low-cost method for depression diagnosis. In this study, we propose a novel gait assessment framework to implement non-intrusive, real-time and automatic depression detection using Kinect, an inexpensive and portable depth sensor. We focus on extracting a novel time-domain and frequency-domain feature (TF-feature) and a spatial geometric feature (SG-feature), and investigating the effectiveness of fused features in detecting depression for the non-contact gait data. A pseudo-velocity model is firstly built to analyze the gait abnormalities of individuals with depression in the time domain. Subsequently, we perform the power spectral density (PSD) analysis on the model to extract the TF-feature. Then, the covariance matrices and the symmetric Stein divergence (S-divergence) are leveraged to obtain the SG-feature, which is fused with TF-feature to form new features for classification. The experimental results on 95 subjects (43 scored-depressed and 52 non-depressed individuals) show that the proposed method achieves a good classification accuracy of 93.75%, has superior performance compared to several other methods, and significantly alleviates the impact of individual differences. These results indicate the efficacy and robustness of the proposed framework for depression detection.
Dual-Band Asymmetric Leaky-Wave Antennas for Circular Polarization and Simultaneous Dual Beam Scanning

In this article, two configurations of novel dual-band half-mode substrate integrated waveguide (HMSIW) leaky-wave antennas are presented. The first proposed antenna radiates linearly polarized (LP) waves in the lower band and circularly polarized waves in the upper band when the unit cells are cascaded sequentially. The second antenna, where the sidewall via of the HMSIW unit cells is connected alternatingly, provides simultaneous dual beams with different polarization in the upper operational band in addition to the LP beam in the lower operational band. The unit cells of the two antennas are analyzed in terms of their dispersion behaviors. Finally, the performance of both the antennas is experimentally verified.
A Multi-State Evaluation of Secondary Agricultural Education Students’ Performance on Industry-Based Standards

This examination of secondary agricultural education students’ performance was used to determine if students could perform up to industry standards. In this study, the industry standard were blueprints created by engineers at the National Institute for Occupational Safety and Health. Students had to fabricate a Cost-effective Roll-Over Protective Structure (CROPS) to be placed on a tractor within their community. All the pieces of the CROPS were inspected by an outside consultant with experience with inspecting projects and visual inspection of welds. It was found that students struggled the most with fabricating the axel brackets. The axel brackets required the most drilled holes and cuts of all the pieces therefore creating more areas where mistakes could be made. Students fabricated the vertical support tubes with the most accuracy. According to the DataDriven Decision Model (DDDM), teachers analyzed student work, provided feedback, and need to incorporate this new knowledge into their future instruction to increase the accuracy of their students’ fabrication skills. Teacher trainers are recommended to incorporate this performance data into the summer training to better prepare teachers. The inclusion of teaching strategies need to be created for secondary teachers such as peer evaluation of measurements prior to drilling and cutting.
Health care provider’s perspectives on the content and structure of a culturally tailored antenatal care programme to expectant parents and family members in Nepal

Background: In Nepal childbirth is one of the most vulnerable periods of a woman's life and knowledge about the normal birth process, as well as danger signs, could be a life-saving intervention. Antenatal care programmes are therefore particularly relevant in Nepal where women deliver on their own in rural areas as well as in facility and hospital settings. Aim: This study aimed to describe the relevant content and structure of a culturally tailored antenatal care programme in Nepal to be developed from the input of healthcare providers. Methods: Qualitative semi-structured interviews with 26 health care providers were analyzed using Elo and Kyngas’ content analysis. This study received ethical approval from the research ethics committee at Dalarna University, Sweden, and the Nepal Health Research Council. Findings: The results present possible (1) content and (2) structure of a culturally tailored antenatal care programme. Content is comprised of (a) how pregnancy affects the mother and how her lifestyle affects the unborn child; (b) normal childbirth, complications, and preparations; and (c) postpartum period – parenthood, childcare, and breastfeeding. Structure is related to (a) programme leader and location; (b) participants; and (c) pedagogy. Conclusion: This antenatal care programme will be culturally tailored to empower women with self-confidence and their decision-making power may increase in the family system regarding their own and their children’s health and wellbeing. Clinical Application: This study can help those designing culturally sensitive antenatal care programs in Nepal.
Molecular Characterization of Coat Protein Gene of Blackgram Yellow Mosaic Virus (BGYMV) from Karnataka

ISSN: 2319-7706 Volume 7 Number 07 (2018) Journal homepage: http://www.ijcmas. com Yellow mosaic virus is the most destructive disease of urdbean causing 5-100 per cent yield loss. BGYMV belongs to genus Begomovirus of the family Geminiviridae transmitted by white fly (Bemisia tabaci Gennadius). Polymerase chain reaction of yellow mosaic virus infecting blackgram samples using MYMV-CP-F/MYMV-CP-R primers amplified the expected product of size 1000 bp from blackgram infected samples. Expected PCR products of size 1000 bp obtained were cloned, sequenced and assembled. The total number of sequences obtained from blackgram yellow mosaic was 880 bp with 106 bp of pre-coat protein region and 774 bp of coat protein region of blackgram yellow mosaic virus. 257 amino acid lengths were predicted after translation of the nucleotide sequences. The cluster phylogram based on pairwise and multiple sequence alignment of the nucleotide sequence of the CP gene of 8 isolates of MYMV and 13 isolates of MYMIV indicated that the present isolate causing blackgram yellow mosaic virus formed cluster with other known isolates of MYMV. Sequence comparisons indicated that BGYMV has the highest nucleotide sequence identity of about 98.7 per cent, 98.4 per cent and 98.3 per cent and with MYMV-Namakkal:MoB [DQ865201.1]; MYMV-Madurai:SB [AJ421642.1], MYMV-Tamil Nadu:MB [AJ132575.1] and MYMV-Maharashtra:SB [AF314530.1] isolates, respectively. The nucleotide sequence identity of BGYMV with MYMV ranged from 94.4-98.7 per cent. The nucleotide sequence identity of BGYMV with MYMIV ranged between 79-80.7 per cent. When the deduced amino acid sequence of individual proteins were compared with those of other begomoviruses, the maximum homology of 99.2 per cent and 98.8 per cent was noticed with MYMV-Tamil Nadu:MB [AJ132575.1]; MYMV-Maharashtra:SB [AF314530.1] and MYMV-Namakkal:MoB [DQ865201.1]; MYMV-Madurai:SB [AJ421642.1] isolates, respectively. The deduced amino acid identities of BGYMV with Mungbean yellow mosaic virus revealed identities between 99.2-95.7 per cent. Deduced amino acid sequence comparison revealed that BGYMV revealed identities ranged from 84-85.9 per cent with Mungbean yellow mosaic India virus at amino acid level. The results of the present study revealed that coat protein gene of yellow mosaic virus infecting blackgram (BGYMV-Hebbal-Bangalore) is a Mungbean yellow mosaic virus (MYMV) but not Mungbean yellow mosaic India (MYMIV) virus and it is a variant of mungbean yellow mosaic virus since it showed 94.498.7 per cent identity at nucleotide level with other MYMV isolates. K e y w o r d s
Willingness to pay for residential PV: reconciling gaps between acceptance and adoption

Photovoltaic (PV) has recorded an impressive development in the last years. The increasing economic potential and further technological improvement will continue to reduce the cost of PV. However, it is not yet well adopted by household customers. Adversely, there is lacking empirical evidence for understanding residential PV adoption behaviour, which this study addresses with empirical research. Although a variety of models can be used to explain social acceptance (SA) and willingness to pay (WTP) for renewable energy, they overlook the connection between SA and WTP in the final purchase decision of a decision-maker. Based on a survey of both SA and WTP in the same observation sample of 2039 Vietnamese residents, this study introduces well-established models with a new linking psychological and economic aspects to measure multiple outcomes involving residential PV behaviours to testing hypotheses with no precedent in the literature. The theoretical and integrative moderated mediation models help to understand residential PV behaviour and suggest solutions for development by revealing how different factors affect SA and WTP in different manners. Environmental interest reveals the predictive power within the SA and WTP behaviour models. Meanwhile, PV knowledge drives SA, but not WTP in Vietnam. Attitude and Perceived behavioural control not only impact SA and WTP directly but also mediate the effect of Environmental interest and SA and WTP. Age & Marital status & Children and Place of residence are important covariates that drive in the SA and WTP models, respectively. Lastly, Income is the covariate in the SA model, but the moderator in the WTP model. In practical implications, this study provides evidence that residential PV is a lifestyle product rather than an economical product, but it is not considered as an essential good for household customers. Thereby, suggestions are given to policymakers and stakeholders to promote market development.
SELECTING THE SUPERIOR GENOTYPE OF SUMMER MAIZE HYBRIDS IN MEGA-ENVIRONMENTS USING AMMI MODEL AND GGE BIPLOT IN CHINA

Effective analysis of genotype by environment interactions (GEI) is helpful to screen stable genotypes in a variety of environments. Therefore, the purpose of this study is to test the stability and adaptability of the agronomic traits of maize hybrids from different ecological environments. Thirteen maize hybrids in twenty-six locations over two years (2017-2018) in Huanghuaihai region was conducted to compare the performance and stability of six agronomic traits using AMMI (additive main effect and multiplicative interaction) model and GGE (genotype, genotype × environment) biplot. The analysis of variance through AMMI model showed that genotype (G), environment (E), and GEI had significant effects on agronomic traits. E explains a larger portion of the total variation in grain yield (GY), ear weight (EW) and 100-grain weight (100-GW), to a much higher degree than GEI and G. However, compared to E and G, GEI contributed more to total variation in ear length (EL), kernel row number (KRN) and bald tip length (BTL). Comprehensive analysis of the AMMI model and the GGE biplot results showed that genotypes G2, G3, and G4 had better agronomic performance and stability than other genotypes and are ideal for planting.
When Reinforcing Processes Generate an Outcome-Quality Dip

When does market success indicate superior merit? We show that when consumer choices between products with equal prices depend on quality but also on past popularity, more popular products are not necessarily of higher quality. Rather, a medium level of popularity may be associated with lower quality than lower levels of popularity. Using a formal model, we show that this kind of nonmonotonic association occurs when reinforcing processes are strong. More generally, a dip can occur when outcomes depend on both quality and resources and the latter are allocated bimodally, with some being given a lot of resources and most receiving little. Empirically, we illustrate that such a dip occurs in the association between movie theater sales and ratings. The presence of a dip in the outcome-quality association complicates learning from market outcomes and evaluation of individuals and new ventures, challenges the legitimacy of stratification systems, and creates opportunities for sophisticated evaluators who understand the dip.
A STUDY ON THE CORRELATION BETWEEN ASSETS IMPAIRMENT AND EARNINGS MANAGEMENT

In this paper we explored the correlation between assets impairment and earning management of publicly listed companies in Taiwan and analyzed that in addition to assets impairment, whether companies would apply discretionary accruals as agency variable in earnings management. Results of the study found that companies` scale and discretionary accruals are negatively correlated in significant level, indicating that assets impairment can also have effect on companies earnings management. In addition, there is no evidence showing correlation between reversal of asset impairment and earnings management.
Atlas of Neuromuscular Organization in the ctenophore Pleurobrachia bachei

Enigmatic ctenophores are descendants of one of the earliest branching metazoan lineage. Their nervous systems are equally elusive. The lack of convenient neurogenic molecules and neurotransmitters suggests an extensive parallel evolution and independent origins of neurons and synapses. However, the field is logged behind due to the lack of microanatomical data about the neuro-muscular systems in this group of animals. Here, using immunohistochemistry and scanning electron microscopy, we describe the organization of both muscular and nervous systems in the sea gooseberry, Pleurobrachia bachei, from North Pacific. The diffused neural system of Pleurobrachia consists of two subsystems: the subepithelial neural network and the mesogleal net with about 5000-7000 neurons combined. Our data revealed the unprecedented complexity of neuromuscular organization in this basal metazoan lineage. The anatomical diversity of cell types includes at least nine broad categories of neurons, five families of surface receptors and more than two dozen types of muscle cells as well as regional concentrations of neuronal elements to support ctenophore feeding, complex swimming, escape and prey capture behaviors. In summary, we recognize more than 80 total morphological cell types. Thus, in terms of cell type specification and diversity, ctenophores significantly exceed what we currently know about other prebilaterian groups (placozoan, sponges, and cnidarians), and some basal bilaterians.
Biochemical and molecular characterizations of cypermethrin resistance in laboratory-selected cypermethrin-resistant strains of Tetranychus urticae Koch. (Acari: Tetranychidae)

ABSTRACT Pyrethroids are commonly used pesticides for controlling agricultural pests. A pyrethroid resistant strain of T. urticae was obtained after laboratory selection with cypermethrin for determining mechanisms of cypermethrin resistance. TaqMan diagnostic assay as well as sequencing of voltage gated sodium channel (VGSC) gene were performed in order to detect previously known mutations in German susceptible strain (GSS) confirming that it does not carry any of the known VGSC mutations. Therefore, GSS strain was selected with cypermethrin and the resistant C6 strain was generated that is free of VGSC mutations. Toxicity assay data revealed relatively high resistance levels of the C6 strain (54.24-folds) in comparison to GSS. All inhibitors (piperonyl butoxide (PBO), esterases, P450; S-benzyl-O, O-diisopropylphosphorothioate (IBP), esterases; and diethyl maleate (DEM), glutathione S-transferase (GST)) were used in combined toxicity assays against the major detoxification enzymes, synergized resistance by 1.41-, 1.61-, and 2.27-fold, respectively. In the C6 strain, activities of P450, GST, and esterase showed elevated activity in comparison to GSS. By application of TaqMan diagnostic assay, we confirmed that both GSS and C6 T. urticae strains are free of VGSC mutations, indicating that detoxification-based cypermethrin resistance mechanisms are involved in resistance and have significant effect on the phenotype.