Miracle-dz/UniFAR-FTUs huggingface dataset:
Efforts to standardize wildlife toxicity values remain unrealized

Wildlife toxicity reference values (TRVs) are routinely used during screening level and baseline ecological risk assessments (ERAs). Risk assessment professionals often adopt TRVs from published sources to expedite risk analyses. The US Environmental Protection Agency (USEPA) developed ecological soil screening levels (Eco‐SSLs) to provide a source of TRVs that would improve consistency among risk assessments. We conducted a survey and evaluated more than 50 publicly available, large‐scale ERAs published in the last decade to evaluate if USEPA's goal of uniformity in the use of wildlife TRVs has been met. In addition, these ERAs were reviewed to understand current practices for wildlife TRV use and development within the risk assessment community. The use of no observed and lowest observed adverse effect levels culled from published compendia was common practice among the majority of ERAs reviewed. We found increasing use over time of TRVs established in the Eco‐SSL documents; however, Eco‐SSL TRV values were not used in the majority of recent ERAs and there continues to be wide variation in TRVs for commonly studied contaminants (e.g., metals, pesticides, PAHs, and PCBs). Variability in the toxicity values was driven by differences in the key studies selected, dose estimation methods, and use of uncertainty factors. These differences result in TRVs that span multiple orders of magnitude for many of the chemicals examined. This lack of consistency in TRV development leads to highly variable results in ecological risk assessments conducted throughout the United States. Integr Environ Assess Manag 2013; 9: 114–123. © 2012 SETAC
Editorial: Intra- and Inter-individual Variability of Executive Functions: Determinant and Modulating Factors in Healthy and Pathological Conditions

Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom, Department of Brain and Cognition, KU Leuven, Leuven, Belgium, Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom, Neuropsychology Research Unit, School of Psychology, The University of Queensland, Brisbane, QLD, Australia, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia, Department of Neuroscience & Padova Neuroscience Center, University of Padua, Padua, Italy, 8 Brain Imaging and Neural
Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot

Little is known regarding public opinion of autonomous robots. Trust of these robots is a pertinent topic as this construct relates to one’s willingness to be vulnerable to such systems. The current research examined gender-based effects of trust in the context of an autonomous security robot. Participants (N = 200; 63% male) viewed a video depicting an autonomous guard robot interacting with humans using Amazon’s Mechanical Turk. The robot was equipped with a non-lethal device to deter non-authorized visitors and the video depicted the robot using this non-lethal device on one of the three humans in the video. However, the scenario was designed to create uncertainty regarding who was at fault – the robot or the human. Following the video, participants rated their trust in the robot, perceived trustworthiness of the robot, and their desire to utilize similar autonomous robots in several different contexts that varied from military use to commercial use to home use. The results of the study demonstrated that females reported higher trust and perceived trustworthiness of the robot relative to males. Implications for the role of individual differences in trust of robots are discussed.
Optimization of a Loop Mediated Isothermal Amplification (LAMP) Assay for In-Field Detection of Dichelobacter nodosus With aprV2 (VDN LAMP) in Victorian Sheep Flocks

Dichelobacter nodosus is the primary etiological agent of footrot in sheep and has a variety of virulence factors. Of these, AprV2, an extracellular protease, has been shown to be capable of causing severe or “virulent” disease symptoms under the right conditions. Due to this, a loop-mediated isothermal amplification (LAMP) assay for the detection of aprV2-positive D. nodosus (VDN LAMP) was developed and evaluated for field use. A sample of 19 sheep flocks (309 sheep) in Victoria, Australia, were tested to determine the optimum conditions for in-field VDN LAMP assay use and sampling, for detecting aprV2-positive D. nodosus infected sheep. VDN LAMP performance was compared to a validated rtPCR that detects aprV2 and the benign strain counterpart, aprB2, using biologically duplicate samples to determine sensitivity and specificity. Flocks were sampled either in winter-spring (moist) or early summer (dry) conditions and had a range of clinical expressions of the disease ovine footrot. Variables considered for optimizing field performance were: sample collection method, sample preparation, clinical expression of disease, and nature of the feet when sampled (moist vs. dry, clean vs. soiled). The test was found to perform best when sheep were sampled with moist, clean feet, using a dry swab with the sample prepared in alkaline polyethylene glycol, pH 13.0, as the collection buffer. A sensitivity of 89% and specificity of 97% was seen when used in-field under these conditions, when compared to aprV2 detection by rtPCR, with “very good” agreement to rtPCR results. This study shows the VDN LAMP test is easy to use in-field to identify the presence of aprV2-positive D. nodosus in sheep flocks.
The Effect of the Time Interval Between Radiation and Hyperthermia on Clinical Outcome in 400 Locally Advanced Cervical Carcinoma Patients

Background: Addition of deep hyperthermia to radiotherapy results in improved local control (LC) and overall survival compared to radiotherapy alone in cervical carcinoma patients. Based on preclinical data, the time interval between radiotherapy, and hyperthermia is expected to influence treatment outcome. Clinical studies addressing the effect of time interval are sparse. The repercussions for clinical applications are substantial, as the time between radiotherapy and hyperthermia should be kept as short as possible. In this study, we therefore investigated the effect of the time interval between radiotherapy and hyperthermia on treatment outcome. Methods: We analyzed all primary cervical carcinoma patients treated between 1996 and 2016 with thermoradiotherapy at our institute. Data on patients, tumors and treatments were collected, including the thermal dose parameters TRISE and CEM43T90. Follow-up data on tumor status and survival as well as late toxicity were collected. Data was analyzed using Cox proportional hazards analysis and Kaplan Meier analysis. Results: 400 patients were included. Kaplan Meier and univariate Cox analysis showed no effect of the time interval (range 30–230 min) on any clinical outcome measure. Besides known prognostic factors, thermal dose parameters TRISE and CEM43T90 had a significant effect on LC. In multivariate analysis, the thermal dose parameter TRISE (HR 0.649; 95% CI 0.501–0.840) and the use of image guided brachytherapy (HR 0.432; 95% CI 0.214–0.972), but not the time interval, were significant predictors of LC and disease specific survival. Conclusions: The time interval between radiotherapy and hyperthermia, up to 4 h, has no effect on clinical outcome. These results are re-ensuring for our current practice of delivering hyperthermia within maximal 4 h after radiotherapy.
Receptivity of India's small and medium-sized enterprises to information system adoption

This study surveys the receptivity of India's small and medium-sized enterprises (SMEs) to the adoption of information systems (IS). Utilising a portion of Rogers' model of innovation diffusion as the framework, and treating IS as a form of new innovation, this study analyses factors affecting IS diffusion. A multiple regression analysis is carried out, with the five attributes of innovation highlighted by Rogers, to determine the attributes that affect the willingness to adopt. Out of the five factors affecting the adoption of IS by SMEs, only relative advantage, compatibility and trialability appear significant, with the overall regression explaining around 39% of willingness to adopt.
A Comprehensive Mathematical Model of Motor Unit Pool Organization, Surface Electromyography, and Force Generation

Neuromuscular physiology is a vibrant research field that has recently seen exciting advances. Previous publications have focused on thorough analyses of particular aspects of neuromuscular physiology, yet an integration of the various novel findings into a single, comprehensive model is missing. In this article, we provide a unified description of a comprehensive mathematical model of surface electromyographic (EMG) measurements and the corresponding force signal in skeletal muscles, both consolidating and extending the results of previous studies regarding various components of the neuromuscular system. The model comprises motor unit (MU) pool organization, recruitment and rate coding, intracellular action potential generation and the resulting EMG measurements, as well as the generated muscular force during voluntary isometric contractions. Mathematically, it consists of a large number of linear PDEs, ODEs, and various stochastic nonlinear relationships, some of which are solved analytically, others numerically. A parameterization of the electrical and mechanical components of the model is proposed that ensures a physiologically meaningful EMG-force relation in the simulated signals, in particular taking the continuous, size-dependent distribution of MU parameters into account. Moreover, a novel nonlinear transformation of the common drive model input is proposed, which ensures that the model force output equals the desired target force. On a physiological level, this corresponds to adjusting the rate coding model to the force generating capabilities of the simulated muscle, while from a control theoretic point of view, this step is equivalent to an exact linearizing transformation of the controlled neuromuscular system. Finally, an alternative analytical formulation of the EMG model is proposed, which renders the physiological meaning of the model more clear and facilitates a mathematical proof that muscle fibers in this model at no point in time represent a net current source or sink. A consistent description of a complete physiological model as presented here, including thorough justification of model component choices, will facilitate the use of these advanced models in future research. Results of a numerical simulation highlight the model's capability to reproduce many physiological effects observed in experimental measurements, and to produce realistic synthetic data that are useful for the validation of signal processing algorithms.
Research on e-commerce transaction networks using multi-agent modelling and open application programming interface

We provide a formal definition of an e-commerce transaction network. Agent-based modelling is used to simulate e-commerce transaction networks. For real-world analysis, we studied the open application programming interfaces (APIs) from eBay and Taobao e-commerce websites and captured real transaction data. Pajek is used to visualise the agent relationships in the transaction network. We derived one-mode networks from the transaction network and analysed them using degree and betweenness centrality. Integrating multi-agent modelling, open APIs and social network analysis, we propose a new way to study large-scale e-commerce systems.
Systems Development Practices: Circa 2001

A desire to be “leading edge,” and input from particular industry partners has convinced some Information Systems university programs to transition from structured to object oriented foci; other programs are seeking empirical evidence to support their decisions regarding which modeling techniques to emphasize. Knowing which techniques are currently used (state-of-the-practice) and will likely be used in the future (state-of-the-art) should enable programs to make more informed decisions regarding paradigm transitions and which techniques to emphasize within their chosen development paradigm. This research evaluates responses from 32 project managers to empirically evaluate which methods are used to fulfill the requirements of real-world projects. Contrary to prior empirical research, this study found object oriented methods have gained par with structured methods relative to use in practical business applications. Within both paradigms, those models that focus on data architecture (Entity-Relationship and Class Diagrams) were reported to be most frequently used and most useful.
An Adaptive Iterative Algorithm for Motion Deblurring Based on Salient Intensity Prior

In this paper, an adaptive iterative algorithm is proposed for motion deblurring by using the salient intensity prior. Based on the observation that the salient intensity of the clear image is sparse, and the salient intensity of the blurred image is less sparse during the image blurring process. The salient intensity prior is proposed to enforce the sparsity of the distribution of the saliency in the latent image, which guides the blind deblurring in various scenarios. Furthermore, an adaptive iteration strategy is proposed to adjust the number of iterations by evaluating the performance of the latent image and the similarity of the estimated blur kernel. The negative influence of overabundant iterations in each scale is effectively restrained in this way. Experiments on publicly available image deblurring datasets demonstrate that the proposed algorithm achieves state-of-the-art deblurring results with small computational costs.
Cadherin Related Family Member 2 Acts As A Tumor Suppressor By Inactivating AKT In Human Hepatocellular Carcinoma

Cadherin related family member 2 (CDHR2) belongs to the protocadherin family and is abundant in normal liver, kidney, and colon tissues, but weakly expressed in cancers arising from these tissues. In this study, we demonstrated that CDHR2 was highly expressed in para-cancer tissues of human hepatocellular carcinoma (HCC), but significantly downregulated or silenced in 85.7% (6/7) of HCC cell lines by both semi-quantitative PCR and western blot, and 79.1% (19/24) and 80.2% (89/111) of tumor tissues from patients with HCC by semi-quantitative PCR, and immunohistochemistry, respectively. Interestingly, CpG islands in the promoter of CDHR2 gene were hypermethylated in HCC cell lines and tissues compared with the para-cancer tissues by methylation-specific PCR analysis, leading to transcriptional repression and silencing of CDHR2 in HCC. In addition, CDHR2 overexpression by lentiviral vectors had suppressive effects on HCC cell growth and proliferation, as evidenced by prolonged cell doubling time and reduced colony-forming ability in vitro, as well as by decreased tumorigenicity in vivo. Mechanistically, CDHR2 overexpression resulted in AKT dephosphorylation along with downregulation of cyclooxygenase-2 (COX2), a downstream target of AKT. This effect was reversed by myristoylated AKT, a constitutively active form of AKT, suggesting an involvement of CDHR2-AKT-COX2 axis in the suppression of HCC growth. Taken together, our study identified CDHR2 as a novel tumor suppressor in HCC and provided a new therapeutic target for HCC.
Genetic dissection of agronomic and quality traits based on association mapping and genomic selection approaches in durum wheat grown in Southern Spain

Climatic conditions affect the growth, development and final crop production. As wheat is of paramount importance as a staple crop in the human diet, there is a growing need to study its abiotic stress adaptation through the performance of key breeding traits. New and complementary approaches, such as genome-wide association studies (GWAS) and genomic selection (GS), are used for the dissection of different agronomic traits. The present study focused on the dissection of agronomic and quality traits of interest (initial agronomic score, yield, gluten index, sedimentation index, specific weight, whole grain protein and yellow colour) assessed in a panel of 179 durum wheat lines (Triticum durum Desf.), grown under rainfed conditions in different Mediterranean environments in Southern Spain (Andalusia). The findings show a total of 37 marker-trait associations (MTAs) which affect phenotype expression for three quality traits (specific weight, gluten and sedimentation indexes). MTAs could be mapped on the A and B durum wheat subgenomes (on chromosomes 1A, 1B, 2A, 2B and 3A) through the recently available bread wheat reference assembly (IWGSC RefSeqv1). Two of the MTAs found for quality traits (gluten index and SDS) corresponded to the known Glu-B1 and Glu-A1 loci, for which candidate genes corresponding to high molecular weight glutenin subunits could be located. The GS prediction ability values obtained from the breeding materials analyzed showed promising results for traits as grain protein content, sedimentation and gluten indexes, which can be used in plant breeding programs.
Reasons for formula feeding among rural Bangladeshi mothers: A qualitative exploration

In Bangladesh the exclusive breastfeeding rate remains low and prelacteal, formula and bottle feeding is increasing. This study aims to explore reasons behind infant formula feeding practices from mothers, caregivers, and health care provider’s perspective. This was a qualitative study carried out in four sub-districts of Sylhet and Jessore of rural Bangladesh. Data were collected through focus group discussions (12), in-depth interviews (4) and key informant interviews (12) from January to February 2014. The qualitative data collected and were analyzed using thematic content analysis. This study clearly showed the factor behind formula feeding by Bangladeshi rural women. One of the major findings was that women could not differentiate between formula and other milk. Main differences between formula and powder milk were the type of consumer where formula only was taken by infant and children less than 2 years. Other major reasons include; poor breastfeeding practices, lack of appropriate breastfeeding practices, superficial knowledge on harmful effect on infant formula; perceived insufficient breast milk production, the influence of family and society and authoritarian power of hospital staff. Rural mothers have intension to feed infant formula to their infants due to various factors including individual, social, cultural and institutional. These identified factors can contribute to policy making and develop more specific interventions targeting expected mother and their family members that can contribute to stop formula feeding and increase breastfeeding practices in rural Bangladesh.
New 8-Level Basic Structure for Cascaded Multilevel Inverters with Reduced Number of Switches and DC Voltage Sources

Multilevel inverters are generally used in medium-voltage and high-power applications. In this paper, a new 8-level basic structure for cascaded multilevel inverters is proposed. Based on proposed basic structure, two different cascaded multilevel topologies are proposed. The proposed cascaded multilevel inverters use less number of power switches, IGBTs and dc voltage sources compared with the conventional multilevel inverters. In order to generate all steps at the output voltage, three different algorithms to determine the amplitudes of dc voltage sources are presented. To reconfirm the performance and correct operation of the proposed topologies, the experimental results for a 15-level inverter are presented.
Tumor-associated inflammatory microenvironment in non-small cell lung cancer: correlation with FGFR1 and TLR4 expression via PI3K/Akt pathway

The tumor-associated inflammatory microenvironment plays a pivotal role in human non-small cell lung cancer (NSCLC) development. FGFR1 and TLR4 involve in the regulation of inflammatory microenvironment of NSCLC.However, the relationship between the FGFR1 and TLR4 signaling and the mechanisms that involved in tumor-associated microenvironment are still unclear. We investigated the expression of FGFR1 and TLR4 in cancerous tissues and noncancerous lung tissues from 60 primary NSCLC patients using immunohistochemical staining. Three cell lines (A549, PC-9 and SK-MES-1) were used for in vitro studies. We demonstrated that the expression of FGFR1 and TLR4 was significantly correlated (r=0.504, p<0.05) in NSCLC tissues. We revealed that activation of FGFR1 and TLR4 pathways by specific signaling agonist increased Akt phosphorylation. Further results showed that FGFR1 and TLR4 regulated cell proliferation and migration and promoted the production of proinflammatory or immunosuppressive cytokines TNF-α and IL-6. Meanwhile, the PI3K inhibitor LY294002 rescued these changes. Taken together, our results indicate that the FGFR1 expression level is positively correlated with TLR4 expression level in human NSCLC tissues. The activation of FGFR1 and TLR4 in cancer cells contributes to inflammatory microenvironment via PI3K/Akt signaling and may make a significant contribution to the progression of human NSCLC.
Robust Image Watermarking via Perceptual Structural Regularity-based JND Model

A better tradeoff between robustness and invisibility will be realized by using the just noticeable (JND) model into the quantization-based watermarking scheme. The JND model is usually used to describe the perception characteristics of human visual systems (HVS). According to the research of cognitive science, HVS can adaptively extract the structure features of an image. However, the existing JND models in the watermarking scheme do not consider the structure features. Therefore, a novel JND model is proposed , which includes three aspects: contrast sensitivity function, luminance adaptation, and contrast masking (CM). In this model, the CM effect is modeled by analyzing the direction features and texture complexity, which meets the human visual perception characteristics and matches well with the spread transform dither modulation (STDM) watermarking framework by employing a new method to measure edge intensity. Compared with the other existing JND models, the proposed JND model based on structural regularity is more efficient and applicable in the STDM watermarking scheme. In terms of the experimental results, the proposed scheme performs better than the other watermarking scheme based on the existing JND models.