Miracle-dz/UniFAR-FTUs huggingface dataset:
Placebo and Non-specific Effects in Reconsolidation-Based Treatment for Arachnophobia

The idea that maladaptive memories may be rendered susceptible to interference after reactivation raises the possibility of reactivating and neutralizing clinically-relevant emotional memories. In this study, we sought to investigate the feasibility of such a “reconsolidation-based” intervention for arachnophobia, drawing upon previous research that successfully reduced fear of spiders in a subclinical sample. In Experiment 1, we piloted several reactivation procedures for conducting a reconsolidation-based treatment for arachnophobic individuals. All procedures involved some form of brief exposure to a fear-provoking spider, followed by the administration of 40 mg propranolol. In Experiment 2, we conducted a double-blind, placebo-controlled assessment of one procedure tested in Experiment 1. In Experiment 1, we found that most reactivation procedures produced drops in self-reported fear of spiders from pre- to post-treatment, including fear declines that were apparent up to 6- and even 14-months later. However, in Experiment 2, we found no evidence that the participants receiving propranolol were better off than those who received placebo. While our findings are limited by the small sample sizes used, they nevertheless show a different pattern of responses than was observed in a previous reconsolidation-based intervention for subclinical spider fearful participants. Alterations to the protocol made to accommodate the clinical participants may have led to greater opportunities for non-specific effects (e.g., exposure, placebo effects) to drive change in the participants. Our findings highlight both the challenges of translating reconsolidation-based procedures into clinical interventions, as well as the importance of controls for non-specific effects in reconsolidation-based research.
Examination of the Productivity and Physiological Responses of Maize (Zea mays L.) to Nitrapyrin and Foliar Fertilizer Treatments

Nutrient stress has been known as the main limiting factor for maize growth and yield. Nitrapyrin, as a nitrification inhibitor—which reduces nitrogen loss—and foliar fertilizer treatments have been successfully used to enhance the efficiency of nutrient utilization, however, the impacts of these two technologies on physiological development, enzymatic responses, and productivity of maize are poorly studied. In this paper, the concentration of each stress indicator, such as contents of proline, malondialdehyde (MDA), relative chlorophyll, photosynthetic pigments, and the activity of superoxide dismutase (SOD) were measured in maize leaf tissues. In addition, biomass growth, as well as quantitative and qualitative parameters of yield production were examined. Results confirm the enhancing impact of nitrapyrin on the nitrogen use of maize. Furthermore, lower activity of proline, MDA, SOD, as well as higher photosynthetic activity were shown in maize with a more favorable nutrient supply due to nitrapyrin and foliar fertilizer treatments. The obtained findings draw attention to the future practical relevance of these technologies that can be implemented to enhance the physiological development and productivity of maize. However, this paper also highlights the importance of irrigation, as nutrient uptake from soil by the crops decreases during periods of drought.
Simulating the best and worst of times: the powers and perils of emotional simulation

ABSTRACT We are remarkably capable of simulating events that we have never experienced. These simulated events often paint an emotional picture to behold, such as the best and worst possible outcomes that we might face. This review synthesises dispersed literature exploring the role of emotion in simulation. Drawing from work that suggests that simulations can influence our preferences, decision-making, and prosociality, we argue for a critical role of emotion in informing the consequences of simulation. We further unpack burgeoning evidence suggesting that the effects of emotional simulation transcend the laboratory. We propose avenues by which emotional simulation may be harnessed for both personal and collective good in applied contexts. We conclude by offering important future directions.
A Targeted Catalytic Nanobody (T-CAN) with Asparaginolytic Activity

Simple Summary The therapy of Acute Lymphoblastic Leukemia (ALL) is based on Escherichia coli (E. coli) L-asparaginase, which is a very effective drug in most cases. However, its side effects sometimes prevent its usage or impose its interruption. The main issues derive from its bacterial origin, which elicits a strong immune response in the patient, and from its generalized action on all body compartments. In this work, we describe how we generated a fully active and miniaturized form of L-asparaginase starting from a camel single domain antibody, a class of antibodies known to have a very limited immunogenicity in humans. We also targeted it onto tumor cells by attaching it to an antibody fragment directed onto the CD19 B-cell surface receptor, expressed on ALL cells. We named this new molecule “Targeted Catalytic Nanobody” (T-CAN). The T-CAN is active and successfully binds to CD19 expressing cells in vitro. Thanks to its reduced immunogenic potential, it represents a new tool which deserves further development. Abstract E. coli L-asparaginase is an amidohydrolase (EC 3.5.1.1) which has been successfully used for the treatment of Acute Lymphoblastic Leukemia for over 50 years. Despite its efficacy, its side effects, and especially its intrinsic immunogenicity, hamper its usage in a significant subset of cases, thus limiting therapeutic options. Innovative solutions to improve on these drawbacks have been attempted, but none of them have been truly successful so far. In this work, we fully replaced the enzyme scaffold, generating an active, miniaturized form of L-asparaginase by protein engineering of a camel single domain antibody, a class of antibodies known to have a limited immunogenicity in humans. We then targeted it onto tumor cells by an antibody scFv fragment directed onto the CD19 B-cell surface receptor expressed on ALL cells. We named this new type of nanobody-based antibody-drug conjugate “Targeted Catalytic Nanobody” (T-CAN). The new molecule retains the catalytic activity and the binding capability of the original modules and successfully targets CD19 expressing cells in vitro. Thanks to its theoretically reduced immunogenic potential compared to the original molecule, the T-CAN can represent a novel approach to tackle current limitations in L-asparaginase usage.
P‐174L: Late‐News Poster: The System‐LCD with Monolithic Ambient‐Light Sensor System

We describe a newly developed 352×RGB×440 System‐LCD that incorporates an ambient light sensor system comprising a lateral photo diode and analog processing circuits integrated directly onto the display substrate in CG‐Silicon. By intelligently controlling the LCD backlight level in response to ambient lighting conditions we achieve low power consumption with high reliability at low cost.
Causality between Built Environment and Travel Behavior

The goal of this study was to explore the causality between the built environment and three transportation modes (private vehicles, mass transit, and nonmotorized modes such as bicycling and walking) while accounting for sociodemographic characteristics for an understanding of what factors may foster transit and nonmotor use. Data from the 2009 National Household Transportation Survey combined with Los Angeles County, California, land use data were used to estimate a recursive structural equations model for an examination of causality direction and for a quantification of the built environment effect and residential self-selection effect. Results suggest that urban planning strategies that promote high population and employment density, land use mix, high four-way intersection density, and road density as well as good transit service can either significantly encourage transit use, bicycling, and walking or reduce vehicle miles traveled. However, the relatively small effect of the size of the built environment on travel behavior implies that achieving the above planning goals may cause considerable residential relocation, which contributes to the major part of observed travel behavior changes.
ANALYSIS OF THE TASK-TECHNOLOGY FIT MODEL APPLIED TO WHATSAPP AS A PREFERENCE OF YOUNG USERS OF MOBILE INSTANT MESSENGERS

The purpose of this article is to analyze the technology-task adjustment model applied to WhatsApp as a preferred communication method by young Mobile Instant Messengers (MIM) users. Thus, we conducted a survey (n=567) and a multivariate data analysis through Structural Equation Modeling. Only one hypothesis of the model was rejected showing that hedonic needs do not influence needs perceived by users. Users do not realize pleasure as a need when it comes to MIMs with communication-oriented features and is not exclusively for fun. We also found that the behavioral profile of young users to perceive the importance of motivational needs, technological characteristics, perceived needs, satisfaction, and privacy, to generate the intention to continue using the mobile communication tool.
Consumer Sustainable Shopping Practices for Small Business during COVID-19

The purpose of this study was to understand the factors that attract consumers to small businesses during the COVID-19 pandemic to assist with small businesses. Factors of interest included emotional (positive and negative) and cognitive experiences (resilience, optimism) during the pandemic and demographic characteristics (gender, generation, education, income, and employment status). Using a convenience survey sample in U.S. (N = 315), this study found that positive and negative emotions, active resilience, and demographic characteristics (generation, education, income, and employment status) can explain consumer shopping frequency and number of services used with small businesses during a pandemic. Small businesses may seek to trigger active resilience and emotions (negative and positive) in their marketing/advertising avenues to attract consumers’ sustainable consumption practices and may consider pivoting to attract particular consumer segments that are more likely to lend favorable actions toward sustainable consumption.
Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients

To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between: AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the carnitine shuttle pathway which was significantly altered in all comparisons. Finally, few discriminatory features were identified between IAMD patients and controls, suggesting that plasma metabolic profiles of IAMD patients are more similar to controls than to NVAMD patients.
Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies

The paper places emphasis on primary energy resources, their covariation, and their correlation with socioeconomic factors and aims to provide a systematic analysis of their development over time. The analysis uses evidence from European Union (EU) country-level data and is based on visual analytics techniques. Different results from the same territories show that energy consumption does not always reflect or is due to climatological or meteorological conditions. Extensive use of visualization is adopted as a means of contributing to the understanding of energy use, some involved problems and concepts, and energy consumption trends over time. We present an approach that addresses the informatics challenges based on the integration of visualization software, data integration, and cluster analysis. Our cross-sectional energy review advocates that EU energy leaders are moving towards a low-carbon economy. The correlations of energy variables with economic and pollution effects are stronger in greater levels of energy use, which means that energy use has an obvious impact on economic growth and the environment. Visual and automated methods employed for the analysis, reveal the direction, the strength, and the nature of the dependence structure, in clusters covering the range of energy use in EU 28 countries.
Phase Transitions of Polarised PVDF Films in a Standard Curing Process for Composites

The article reports on the influence of annealing PVDF in an autoclave process on the PVDF phase composition. DSC, FTIR and XRD measurements serve to observe the phase changes in an already stretched, polarised and β-phase rich film. Annealing was conducted between 90 and 185 ∘C to cover a broad range of curing processes in an autoclave. The β-phase is found to be stable up to near the melting range at 170 ∘C. At 175 ∘C, the non-piezoelectric α-phase dominates and the piezoelectric γ- and γ′-phases appear. The γ-phase grows at elevated temperatures and replaces the β-phase. This observation stresses the importance of developing new methods to reactivate the polarisation after annealing, in particular for the integration of PVDF as a sensor in laminated structures, such as CFRP.
Structural and electronic properties of ternary alloys of alkaline-earth oxides and chalcogenides

ABSTRACT Based on the first-principle calculations using density functional theory, the structural and electronic properties of the ternary alloys of alkaline-earth oxides and chalcogenides have been studied. Composition dependences of the calculated equilibrium lattice constants, bulk moduli and pressures of B1–B2 phase transitions of these alloys are presented and compared with previous theoretical results. Differences in the pressure dependences of the band gaps for oxides as compared with those for chalcogenides in B1 and B2 structures are discussed.
Molecular Mechanisms of Hypertensive Nephropathy: Renoprotective Effect of Losartan through Hsp70

Hypertensive nephrosclerosis is the second most common cause of end-stage renal disease after diabetes. For years, hypertensive kidney disease has been focused on the afferent arterioles and glomeruli damage and the involvement of the renin angiotensin system (RAS). Nonetheless, in recent years, novel evidence has demonstrated that persistent high blood pressure injures tubular cells, leading to epithelial–mesenchymal transition (EMT) and tubulointerstitial fibrosis. Injury primarily determined at the glomerular level by hypertension causes changes in post-glomerular peritubular capillaries that in turn induce endothelial damage and hypoxia. Microvasculature dysfunction, by inducing hypoxic environment, triggers inflammation, EMT with epithelial cells dedifferentiation and fibrosis. Hypertensive kidney disease also includes podocyte effacement and loss, leading to disruption of the filtration barrier. This review highlights the molecular mechanisms and histologic aspects involved in the pathophysiology of hypertensive kidney disease incorporating knowledge about EMT and tubulointerstitial fibrosis. The role of the Hsp70 chaperone on the angiotensin II–induced EMT after angiotensin II type 1 receptor (AT1R) blockage, as a possible molecular target for therapeutic strategy against hypertensive renal damage is discussed.
Design Considerations for the Development of Crowdsourcing Systems

We present a case study on factors that affect the usability and User Experience (UX) of a crowdsourcing platform for argumentation. While this particular system is focused on argumentation, we have aimed to abstract our findings such that they are generalizable to other use cases so that others may consider these lessons learned and recommendations for the development of more effective crowdsourcing and collaborative work platforms. Several themes were identified in participant responses about the usability and UX of the crowdsourcing system, including a desire for less structure, the need for additional training, the desire for a streamlined workflow and UI, improved navigation, and the enjoyment of interactions with other users.
Virtual environments for stroke rehabilitation: examining a novel technology against end-user, clinical andmanagement demands with reference to UK care provision

In the field of post-stroke rehabilitation, there appears to be growing interest in the use of virtual reality (VR)-based systems as adjunct technologies to standard therapeutic practices. The limitations and the potentials of this technology are not, however, generally well understood. The present study thus seeks to determine the value of the technology with reference to end-user requirements by surveying and evaluating its application against a variety of parameters: user focus, clinical effectiveness, marketability and contextual meaningfulness, etc. A key theme in the research considers how a technology developed internationally might interface with care provision demands and cultures specific to the United Kingdom. The barriers to innovation entry in this context are thus examined. Further practical study has been conducted in the field with a small sample of post-stroke rehabilitation patients. The data garnered from these enquiries have informed a detailed system analysis, a strategy for innovation and a broad theoretical discussion as to the effectiveness of the technology in delivering VR environments by which the patient can undertake ‘meaningful’ therapeutic activities. The data reveal that there does appear to be clinical value in using this technology, yet establishing its maximal value necessitates greater integrity among clinicians and engineers, and the furthering of progressive channels for innovation by public health administrators.
PID Tuning Method Using Chaotic Safe Experimentation Dynamics Algorithm for Elastic Joint Manipulator

This paper proposed the chaotic safe experimentation dynamics algorithm (CSEDA) to regulate angular tracking and vibration of the self-tuning PID controller for elastic joint manipulators. CSEDA was a modified version of the safe experimentation dynamics algorithm (SEDA) that used a chaos function in the updated equation. The chaos function increased the exploration capability, thus improving the convergence accuracy. In this study, two self-tuning PID controllers were used to regulate the rotating angle tracking and vibration for elastic joint manipulators in this control challenge. The suggested self-tuning PID controller's performance was evaluated in angular motion trajectory tracking, vibration suppression, and the pre-determined control fitness function. A self-tuned PID controller based on CSEDA could achieve superior control accuracy than a traditional SEDA and its variants.
In vivo and in vitro random mutagenesis techniques in plants

Abstract Mutations are changes in the genetic material that may be transmitted to subsequent generations. Mutations appear spontaneously in nature and are one of the underlying driving forces of evolution. In plants, in vivo and in vitro random mutagenesis relies on the application of physical and chemical mutagens to increase the frequency of mutations thus accelerating the selection of varieties with important agronomic traits. The European Commission has requested EFSA to provide a more detailed description of in vivo and in vitro random mutagenesis techniques and the types of mutations and mechanisms involved, to be able to conclude on whether in vivo and in vitro random mutagenesis techniques are to be considered different techniques. To address the European Commission request, a literature search was conducted to collect information on the random mutagenesis techniques used in plants both in vivo and in vitro, on the type of mutations generated by such techniques and on the molecular mechanisms underlying formation of those mutations. The GMO Panel concludes that most physical and chemical mutagenesis techniques have been applied both in vivo and in vitro; the mutation process and the repair mechanisms act at cellular level and thus there is no difference between application of the mutagen in vivo or in vitro; and the type of mutations induced by a specific mutagen are expected to be the same, regardless of whether such mutagen is applied in vivo or in vitro. Indeed, the same mutation and the derived trait in a given plant species can be potentially obtained using both in vivo and in vitro random mutagenesis and the resulting mutants would be indistinguishable. Therefore, the GMO Panel concludes that the distinction between plants obtained by in vitro or in vivo approaches is not justified.
The Prevalence, Coinfection, and Evolutionary and Molecular Characteristics of Prevalent Goose Circovirus in Guangdong, China

SUMMARY. To understand the prevalence, coinfection with other viruses, underlying genetic evolution, recombination, and molecular biological characteristics of goose circovirus (GoCV) in Guangdong, China, from December 2019 to August 2020, 310 tissue samples of geese showing stunted growth and feather disorder syndrome were collected from this region and analyzed. GoCV, Tembusu virus, waterfowl paramyxovirus, avian influenza virus, fowl adenovirus type 4, and duck plague virus were detected with PCR or real-time PCR. Thirty-one complete GoCV viral genomes were obtained from 164 PCR-verified GoCV nucleotide-positive samples and subjected to phylogenetic analysis, gene recombination analysis, and genome secondary structure prediction. The results showed that more than half of the samples were GoCV positive, and 31.1% of the GoCV-positive samples were from coinfections with at least one of the other viruses. The phylogenetic analysis showed that the GoCVs could be divided into three genome types. The genes of most main epidemic strains now circulating in Guangdong belonged to the Ia subtype, and some strains gradually formed a new Ib subtype. The secondary structure of the viral genome was similar to that of other known circoviruses. Furthermore, B cell linear epitope prediction and protein structure homology modeling of the viral capsid protein were performed based on the viral amino acid sequences. The results showed that the spatial structure of the capsid protein of the 31 sequenced strains was similar to that of duck circovirus and consisted of two β-sandwich conformations. A total of five B cell linear epitopes were predicted, and four of them were mapped on the predicted model of the capsid protein of GoCVs. This report provides a reference for the epidemiology of GoCV in Guangdong, understanding the elemental composition of the virus genes and proteins, selecting representative vaccine strains, constructing targeted immune preparations for GoCV, and strengthening prevention and control of the disease.