Miracle-dz/UniFAR-FTUs huggingface dataset:
Número, tiempo de desarrollo y supervivencia de estadios inmaduros de Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae, Aleyrodinae) en berenjena (Solanum melongena, Solanaceae)

VISCARRET, M. M. y Borro, E. N. , 1997: Número, tiempo de desarrollo y supervivencia de estadios inmaduros de Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae, Alevrodinae) en berenjena (Solanum melongena, Solanaceae). Bol. San. Veg. Plagas, 23(4): 535-539. The number, time of development and survival of immature stages of Bemisia tabaci were studied on eggplant. Four instars were confirmed using the Brooks-Dyar rule. Developmental time for the second, third and fourth instars was estimated by a descriptive analysis (Box and Whisker Plot). The results obtained were as follows: second instar 3 days (between days 7 and 9 of development) ; third instar 2 days (between days 10 and 11 of development) and fourth instar, 11 days (between days 12 and 21, as maximal emergence time for adult). Experimental conditions were: T°: 25-28 °C, RH: 4060% and 14L:10D. Developmental time from egg to «pupa» was 15.8 ± 0.9 days and from egg to adult was 17.7 ± 1.0 days. The survival rate (lx) for the two nymphal instar, under the experimental conditions used in this study, was higher than that observed for B. tabaci on other host plants (lNinfaII = 0.98).
The Indirect Estimation of Breathing Rate through Wearables: Experimental Study and Uncertainty Analysis through Monte Carlo Simulation

Breathing Rate (BR) is a fundamental physiological parameter and wearable sensors can indirectly estimate it through the measurement of electrocardiogram (ECG). Indeed, they are widely employed in several application fields thanks to their multiple advantages, such as user- friendliness, availability in different quality and cost segments, and capability to acquire multidomain physiological signals. This study aims at applying an approach based on respiratory sinus arrhythmia to the ECG signals acquired by a cardiac belt (Zephyr BioHarness 3.0) and a smartwatch (Samsung Galaxy Watch3), evaluating the measurement accuracy as well as performing a Monte Carlo simulation to analyze the uncertainty propagation along the measurement chain, from the wearable sensors to the estimated BR value. The results show that both the wearable sensors provide an accurate estimation of BR (almost null bias), with good precision (standard deviation of residuals: 3 bpm for both sensors), and moderate-high correlation with reference values (Pearson's correlation coefficient: 0.77 for Zephyr BioHarness 3.0 and 0.63 for Samsung Galaxy Watch3). Considering an uncertainty of ±1 bpm and ±2 bpm on heart rate for Zephyr BioHarness 3.0 and Samsung Galaxy Watch3, respectively, the Monte Carlo simulation provided expanded uncertainty values on the estimated BR of ±6 bpm and ±8 bpm, respectively, evidencing a relevant impact of physiological variability.
Advance in Environmental Waste Management & Recycling

Introduction Poly aromatic hydrocarbons (PAHs) are organic pollutants that are widely distributed in the environment, are toxic, and very persistent. Different types of PAHs are formed based on combustion temperature, where high temperatures form simple PAHs; low temperatures create more complex PAHs. PAHs are released into the environment through natural sources such as volcanoes and forest fires, but the most predominant sources which are also responsible for most atmospheric pollution are the anthropogenic sources. The combustion of fossil fuels, including motor vehicle emission and power generation, wood burning, municipal and industrial waste incineration, and a host of others were typical examples of anthropogenic sources. PAHs are included in the “priority pollutants” listing of the US Environmental Protecting Agency (US EPA). Although PAHs are found everywhere, they are more concentrated in places such as auto-mechanic workshops sites, gas works, coal gasification sites and sites of oil spills. Even though they are biodegradable, their sequestration and recalcitrance, complicates the process of biodegradability and availability to chemical attack. PAHs are also hydrophobic in nature with very low water solubility and high octanol-water partition coefficient, making them to adsorb strongly to organic matter in soil and less susceptible to biological and chemical degradation.
Feature Analysis of Icebreaker Escort Operations in Ice-Covered Arctic Waters

Some Arctic routes have become seasonal navigational routes due to global warming and receding Arctic ice. Affected by the season and ice area environment, sometimes merchant ships must navigate via icebreaker escort to ensure ships’ safe navigation through the ice-covered waters. This study focuses on the processing and analysis of the navigation trajectory of merchant ships escorted by icebreakers in the Arctic waters. A research framework is proposed for feature analysis of icebreaker escort operations in ice-covered Arctic waters based on the combination of satellite automatic identification system (AIS) data, map information technology, and environmental data of the Arctic region. Firstly, the icebreaker’s satellite AIS data clarify the operation waters. Secondly, the satellite AIS data within the operation waters are used to identify the navigation trajectories for the icebreaker and the escorted merchant vessel. Furthermore, the features of the icebreaker escort operations in ice-covered Arctic waters are analyzed by incorporating the AIS data and environmental data. Finally, the satellite AIS data in 2021 will be used as a case study. The proposed method can be used to provide support for decision-making of escort operations in ice-covered waters.
Explorer Designing computer-based rewards with and for children with Autism Spectrum Disorder and / or Intellectual Disability Computers in Human Behavior

Children with Autism Spectrum Disorder (ASD) tend to have an affinity for digital technologies, often preferring computer-assisted learning to human-assisted learning. Many children with ASD are also diagnosed with Intellectual Disabilities (ID), yet design studies involving children with ASD and ID are scarce. Rewards can have a positive impact on children’s learning and motivation, but little is known about the nature and impact of rewards for children with ASD, and/or ID. Digital technologies are well placed to provide task-based rewards, and in combination with a better understanding of the reward preferences of children with ASD and/or ID this has significant potential to enhance learning. This paper presents two robust participatory design (PD) studies involving children with: i) ASD; ii) ID; and iii) both ASD and ID. The studies aimed to identify: i) the reward preferences of children with ASD and/or ID (RQ1) and ii) how rewards might develop throughout a task as the child progresses (RQ2). Results revealed a number of reward categories that were common to all children, as well as children’s preferences for how rewards could develop as they progress through computer-based tasks, for the first time. Original implications for designing computer-based rewards embedded within digital intervention/educational technologies for children with ASD and/or ID, are discussed.
Emerging Hardware Technologies and 3D System Integration for Ubiquitous Machine Intelligence

Next-generation semiconductor hardware technologies and system integration serve as the physical foundation in the pursuit of ubiquitous machine intelligence, with unprecedented requirements in energy efficiency, performance, cost effectiveness, and security. Here, we provide an overview of emerging technologies with an emphasis on 3D system integration, and discuss on cross-layer designs for memory-centric computing in the 3D era.
Risky Behavior of Pedestrians Crossing the Street in front of New Energy Vehicles

As the number of new energy vehicles equipped with autonomous driving technology increases, the degree of interaction between vehicles and pedestrians is different, which affects the accuracy of pedestrians’ judgment of vehicle behavior and pedestrians’ behavior of crossing the street. Therefore, it is necessary to study road traffic safety. In this paper, SP questionnaire was used to obtain data of pedestrians’ intention to take risks across the street. Based on the theory of extended planned behavior, the formation mechanism model of pedestrians’ intention to take risks across the street was established. On the basis of traditional dimensions, two variables of trust and risk perception were expanded, and a structural equation model was used to verify and improve the model. From the aspect of path relationship and the effect of each factor, analyze the relationship between the variables and the degree of influence. The results show that the extended TPB model can effectively explain pedestrian risk-taking behavior, and the role of risk perception, trust,and perceived behavior control on risk-taking behavior intention is more prominent. The k-means clustering method is adopted to cluster the people who take risks to cross the street, which can be divided into ignoring rules (risk-taking type), flexible following rules (stable type),and strict following rules (prudent type). Therefore, the study of pedestrian risk behavior intention is helpful to traffic safety management and improves traffic efficiency.
INVITED: Design Automation Needs for Monolithic 3D ICs: Accomplishments and Gaps

In this paper, we provide an overview of design automation tools and methodology for Monolithic 3D ICs, focusing on the accomplishments in recent years and the gaps that remain to be filled. Monolithic 3D integration is an emerging technology with high 3D interconnect density and performance benefits, but it proposes new challenges for computer-aided design tools. In this paper, we first revisit the current status of design automation tools for Monolithic 3D and highlight the recent developments in tier partitioning, 3D placement and routing, inter-tier via controls, and power and thermal integrity analysis. Then, we discuss the gaps to be met for next-generation system-level heterogeneous Monolithic 3D IC design. Finally, we present our vision for the future of design automation developments for Monolithic 3D ICs.
MTL-Designer: An Integrated Flow for Analysis and Synthesis of Microstrip Transmission Line

Microstrip transmission line (MTL) appears extensively in microwave integrated circuits (MIC). To sufficiently analyze and synthesize the MTL, we propose MTL-Designer that can design the electrical and geometrical parameters of an MTL given performance specifications. We construct a deep generative model to generate initial solutions, and a surrogate model to predict the characteristics, optimize the solutions, and select from them. We further propose an adaptive sampling algorithm to speedup training. Our flow can generate 1000 feasible solutions within ∼0.6 s, realizing > 99.8% accuracy given various design specifications for two common MTL systems, exhibiting its strong potential for MIC design.
Mantra: Mutation Testing of Hardware Design Code Based on Real Bugs

Mutation testing, a well-suited technology for functional validation, is regrettably poorly studied in hardware. We propose Mantra: the first open-source code-level mutation testing tool based on real hardware bugs. Specifically, Mantra devises time-aware mutation killing mechanism for cost reduction of hardware mutation testing using the parallelism of hardware design code, and then defines and implements 19 hardware mutation operators via large-scale empirical analysis on real bugs. Finally, the evaluation on public datasets from CirFix and OpenCores shows that Mantra achieves promising results with a maximum boost of 83.44%.
Dieta de la Gaviota Cocinera (Larus dominicanus) durante el período reproductivo en el estuario de Bahía Blanca, Buenos Aires, Argentina

La Gaviota Cocinera (Larus dominicanus) está ampliamente distribuida en Argentina. Es una especie de comportamiento alimentario generalista y oportunista; según algunos autores, su capacidad de explotar recursos alimentarios derivados de actividades humanas ha favorecido su expansión geográfica. En este estudio se da a conocer la dieta de la Gaviota Cocinera durante el período reproductivo en una colonia de 3114 nidos ubicada en la Isla del Puerto, estuario de Bahía Blanca, provincia de Buenos Aires, Argentina. Se analizó un total de 1024 egagrópilas, cinco regurgitados de pichones y 12 de volantones, recolectados entre los meses de octubre y diciembre de 2003. Se registraron 39 categorías presa, de las cuales los granos (principalmente girasol) y la carroña de ganado vacuno tuvieron los mayores porcentajes en la dieta (54.6% y 29.0%, respectivamente). Ambos recursos están disponibles en grandes cantidades en las cercanías de la colonia, lo que podría estar favoreciendo el incremento poblacional observado en los últimos años. Otras presas halladas en la dieta, en orden decreciente de ocurrencia, fueron peces óseos, gasterópodos, insectos, cirripedios, basura, quitones, pelecípodos, roedores y otros. En la colonia de la Isla del Puerto, al igual que lo observado en otras colonias de la costa patagónica, la Gaviota Cocinera se comportaría como una especie generalista, con una fuerte tendencia a la explotación de recursos de origen humano y, en menor medida, de presas del ambiente marino costero.
GDSII-Guard: ECO Anti-Trojan Optimization with Exploratory Timing-Security Trade-Offs

With the ever-shrinking feature size of transistors, the exorbitant cost has driven the massive outsourcing of integrated circuits (IC) fabrication. However, this outsourcing poses significant security risks because untrustworthy foundries can conduct insidious fabrication-time attacks without close supervision. Therefore, it is crucial to undertake design-time protection before sending finalized design layouts to the foundry. Foundry-level hardware Trojan has emerged as a major security threat, but existing design-time countermeasures lack sufficient consideration of good trade-offs between design security and performance.This work proposes an automatic framework, GDSII-Guard, to strengthen implemented physical layouts against potential fabrication-time Trojan attacks while preserving design performance, power, and quality. We develop an Engineering Change Order (ECO) placement and routing (P&R) flow containing elaborate anti-Trojan operators to prevent Trojan insertion. Moreover, we introduce a multi-objective optimization model with evolutionary strategies that incorporate anti-Trojan flow information to exploit balances between the aforementioned multiple design metrics. Experimental results demonstrate that GDSII-Guard reduces the overall risk of Trojan attacks on given designs by 98.8% with minimized timing, power, and design quality impact, surpassing existing approaches prominently.
A Deep Learning Method for Ship-Radiated Noise Recognition Based on MFCC Feature

Underwater target recognition is one of the most challenging tasks in underwater signal processing. Previous deep learning methods have relied on fusing more acoustic features, ignoring the rich information contained in the time-frequency features of underwater acoustics. Furthermore, fusing features that are less relevant to the target may result in redundancy and affect the recognition performance of the model. In this paper, a novel method based on Multi-Scale feature extraction, Attention mechanism for feature fusion and Convolutional Recurrent Neural Network (MACRN) is proposed to fully exploit the deep features of Mel-Frequency Cepstral Coefficients (MFCC) for underwater target recognition. In comparative experiments conducted on the open-source dataset ShipsEar, the proposed method achieves an average recognition accuracy of 98.1%
What makes segmentation good ? A case study in boreal 1 forest habitat mapping 2

All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. What makes segmentation good? A case study in boreal forest habitat mapping Räsänen, Aleksi; Rusanen, Antti; Kuitunen, Markku; Lensu, Anssi
The impact of trust and perceived risk on internet banking adoption in India

Purpose – The main purpose of this paper is to extend the technology acceptance model (TAM) in the context of internet banking adoption in India under security and privacy threat.Design/methodology/approach – Keeping the TAM proposed by Davis as a theoretical basis, an extended TAM incorporating security‐ and privacy‐related issues for internet banking adoption is conceptualized. The authors have incorporated various inhibitors of internet banking which restrict the use of internet banking adoption under “perceived risk”, and also consider the role of the bank web site as a key determinant of perceived risk and of perceived ease of use in the context of internet banking services.Findings – The paper reveals that perceived risk has a negative impact on behavioral intention of internet banking adoption and trust has a negative impact on perceived risk. A well‐designed web site was also found to be helpful in facilitating easier use and also minimizing perceived risk concerns regarding internet banking usage.
Sensitivity analysis on locations of Energy Storage in power systems with wind integration

The penetration of renewable energy sources, particularly wind energy, into power systems has been rapidly increasing in recent years. This type of energy sources is relatively variable and unpredictable. Wind could, for example, be available at low-load periods and it may not be committed to supply power at peak-load hours, which results in a mismatch between generation and load. One of the actions that can be taken to support wind integration is the use of Energy Storage Systems (ESSs). In this paper, we formulate an AC Optimal Power Flow (OPF) problem with Battery Energy Storages (BESs) and then perform tests on IEEE 14-bus case study with different locations and numbers of BESs to discuss impacts of BES location on system operation.
Flow topology and scalar mixing in spatially heterogeneous flow fields

Scalar mixing plays a significant role for transport in geophysical flows because it controls dilution and is a main driver for many chemical reactions. Here we study the local scale flow mechanisms that lead to enhanced scalar mixing, and how they impact on the global mixing behavior. Mixing is quantified in terms of the entropy of the scalar distribution. It is shown that the evolution of entropy is directly linked to the flow topology in terms of the Okubo‐Weiss parameter Θ. Dominant shear and stretching deformation (Θ > 0) leads to a strong increase of local mixing strength, while dominant vorticity (Θ < 0) has only a minor impact. This allows to delineate regions of increased scalar mixing potential by mapping out the spatial distribution of Θ(x), and to relate global scalar mixing to an areal averaged effective Okubo‐Weiss measure.
Research on Gearbox Fault Diagnosis Based on Improved ResNet Network

Due to the harsh working environment of gearboxes and strong noise interference, the accuracy of fault identification is seriously affected. In addition, the traditional ResNet network has a large number of network parameters, resulting in slow training speed. Experiments show that the accuracy of the proposed Fast-SeResNet network is maintained at 99% compared to the traditional ResNet network, while the number of training parameters has been reduced by an order of magnitude, and the training time for each Batch is reduced from 66 seconds to 10 seconds with the same hardware support. The results show that the Fast-SeResNet network structure can improve the diagnostic speed to a large extent in a noisy environment with a small improvement in network accuracy, and has some practical value.
The effect of diet and sociopolitical change on physiological stress and behavior in late RomanEarly Byzantine (300–700 AD) and Islamic (902–1,235 AD) populations from Ibiza, Spain

Objectives This study evaluated chronological changes in physiological stress and levels of habitual loading of Ibizan populations from the Late Roman-Early Byzantine (LREB) to the Islamic period (300-1235 AD) using measures of body size and bone cross-sectional properties to compare Urban LREB, Urban Medieval Islamic, and Rural Medieval Islamic groups. It also explored the effect of diet, modeled using stable isotopes, on physiological stress levels and behavior. The sample comprised individuals from three archaeological populations: Urban Late Roman- Early Byzantine (LREB) (300-700 AD), Medieval Urban Islamic (902-1235 AD), and Medieval Rural Islamic. Bone lengths, femoral head dimensions, and cross-sectional properties, diaphyseal products and circumferences, were compared to assess differences in body size and habitual loading in 222 adult individuals. Ordinary least squares regression evaluated the correlations between these measures and carbon (δ 13 C) and nitrogen (δ 15 N) stable isotope ratios in 115 individuals for whom both isotope values and osteological measures are available. Results The Medieval Rural Islamic group had shorter stature and reduced lower limb cross-sectional properties compared to the two urban groups. Limb shape differs between Urban LREB and Urban Medieval Islamic groups. Measures of body size length were positively correlated with δ 13 C values in all individuals and separately in the Urban LREB and Rural Medieval Islamic groups. δ 15 N showed a positive correlation with left humerus shape in the Urban LREB sample. Conclusions The low stature and cross-sectional properties of the Medieval Rural Islamic group may be an indicator of greater physiological stress, potentially due to poorer diet. Positive correlations between measures of body size and δ 13 C values further suggest that greater access to C 4 resources improved diet quality. Alternatively, this relationship could indicate greater body size among migrants from areas where individuals consumed more C 4 resources.