Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissection of the Regulatory Elements of the Complex Expression Pattern of Puckered, a Dual-Specificity JNK Phosphatase

For developmental processes, we know most of the gene networks controlling specific cell responses. We still have to determine how these networks cooperate and how signals become integrated. The JNK pathway is one of the key elements modulating cellular responses during development. Yet, we still know little about how the core components of the pathway interact with additional regulators or how this network modulates cellular responses in the whole organism in homeostasis or during tissue morphogenesis. We have performed a promoter analysis, searching for potential regulatory sequences of puckered (puc) and identified different specific enhancers directing gene expression in different tissues and at different developmental times. Remarkably, some of these domains respond to the JNK activity, but not all. Altogether, these analyses show that puc expression regulation is very complex and that JNK activities participate in non-previously known processes during the development of Drosophila.
Heat transfer performance of a radiator with and without louvered strip by using Graphene-based nanofluids

The present work is focused on the Graphene-based nanofluids with high thermal conductivity which helps to improve the performance and enhance heat transfer. The thermal systems emphasis on the fluid coolant selection and statistical model. Graphene is a super-material, lighter than air, high thermal conductivity, and chemical stability. The purpose of the research is to work up with Graphene-based Nanofluids i.e., Graphene (G) and Graphene oxide (GO). Nanoparticles are dispersed in a base fluid with a 60:40 ratio Water & Ethylene Glycol and at different volume concentrations ranging from 0.01%–0.09%. Radiator model is designed in modelling software and louvered strip is inserted. The simulation (Finite Element Analysis) is performed to evaluate variation in temperature drop, enthalpy, entropy, heat transfer coefficient and total heat transfer rate of the considered nanofluids, results were compared by with and without louvered strip in the radiator for the temperature absorption. 58–60% enhancement of enthalpy observed when Graphene and Graphene oxide nanofluid was utilized. 1.8% enhancement of entropy is observed in 0.09% volume concentration of the Graphene and Graphene oxide nanofluid when louvered strips are inserted in the radiator tube at a flow rate of 3 LPM. With louvered strip inserted in the radiator, heat transfer coefficient enhanced by 236% for Graphene and 320% enhancement is identified for Graphene oxide nanofluid when compared to without louvered strip insert. The results stated that high performance is observed with the utilization of louvered strip in the radiator tube. this article as: Sandhya M, Ramasamy D, Sudhakar K, Kadirgama K, Harun WSW. Heat Transfer Performance of a Radiator with and without Louvered Strip by using Graphene-based Nanofluids. Ther Eng 2021;7(6):1315–1328.
Comparison of scores from the Wechsler Adult Intelligence Scale–IV and the Woodcock Johnson III in an Australian university sample

ABSTRACT Objective This study investigates, in an Australian university student sample, the score equivalence of the Wechsler Adult Intelligence Scale-IV (WAIS-IV) norms for which are based on the US standardization sample versus the Woodcock Johnson III (WJ III) cognitive test battery, normed for the Australian population based on a standardisation sample aged between four and twenty-one. Mean IQ scores in the two instruments were compared in sample scores of all and those restricted to 21 years or younger. Additionally, corresponding broad ability scores were compared. Method Tests were assigned in blocked random order to 164 (141 aged 21 years or younger) participants (M = 20.38, Mdn = 19, SD = 5.19). Thirty-eight (32 aged 21 years or younger) undertook both tests. Scores from all, and the subset aged 21 years or less were analysed. Results The mean WAIS-IV FSIQ were significantly higher than mean WJ III GIA in both independent and repeated measures analyses. Effect sizes, measured with population SD of 15, were d = 0.34 and d = 0.53 in the independent and repeated measures study. Conclusions Considering the potential impact of the observed effect sizes in high-stakes decision for the Australian population, we appeal for further research on local norming. KEY POINTS What is already known on this topic: When used in Australia, the WAIS-IV scores are based on the US standardization data, while the WJ III has been normed for the Australian population. Local and current norming of tests is essential for valid and fair use of a cognitive abilities test. WAIS-IV scores are routinely used to make high-stakes decisions in Australia. What this paper adds: Empirical evidence that the current WAIS-IV scores and WJ III scores in Australia are not equivalent in a sample of university students. If the observed effect sizes were to hold in the critical cut-off regions used for making high-stakes decision, a substantial number of eligible beneficiaries will be affected. Though the samples in this study are restricted, the partial random sampling, consistency, and effect size warrant more comprehensive study.
COVID Feel Good – A Self-Help Virtual Therapeutic Experience for Overcoming the Psychological Distress of the COVID-19 Pandemic: Results from a European Multicentric Trial

The primary aim of the present study was to investigate the efficacy of a self-help virtual therapeutic experience (COVID Feel Good) for reducing the psychological burden experienced during the COVID-19 lockdown across different countries. For this purpose, we focused on participants recruited from June 2020 to May 2021 in the context of a European multicenter project including four university/academic sites. Primary outcome measures were depression, anxiety and stress symptoms, perceived stress levels and hopelessness. Secondary outcomes were the experienced social connectedness and the level of fear experienced during the COVID-19 pandemic. To assess the efficacy of the intervention in a multicentric context, we evaluated the strength of evidence supporting the COVID Feel Good computing a single summary estimate of the effect across the different countries. Using separate linear mixed-effect models, the most consistent result across the different countries was an improvement of the perceived stress level after the participation in the COVID Feel Good intervention. By pooling the results of the models using a random-effect meta-analysis, we found that COVID Feel Good intervention was associated a decrease in the perceived general distress [mean standardized effect size for general distress in the treatment groups compared to the control conditions was 0.52 (p = 0.007, 95% CI: 0.14, 0.89] and with an increase the perceived social connection [mean standardized effect size for social connection using COVID Feel Good compared to the control conditions was -0.50 (p = < 0.001, 95% CI: -0.76, -0.25)]. Globally findings suggest the efficacy of the proposed protocol and contribute the growing literature supporting the use of digital psychological interventions to reduce the psychological stress among general population during the COVID-19 crisis.
Atomically Precise Strategy to a PtZn Alloy Nanocluster Catalyst for the Deep Dehydrogenation of n-Butane to 1,3-Butadiene

The development of on-purpose 1,3-butadiene (BDE) technologies remains an active area in catalysis research, because of the importance of BDE in industrial polymer production. Here, we report on a nonoxidative dehydrogenation catalyst for the production of BDE prepared by atomically precise installation of platinum sites on a Zn-modified SiO2 support via atomic layer deposition (ALD). In situ reduction X-ray absorption spectroscopy (XAS), X-ray photoelectron spectroscopy (XPS), CO chemisorption, and high-angle annular dark-field (HAADF) scanning transmission electron microscopy (STEM) imaging of activated PtZn/SiO2, revealed the formation of a uniform, well-distributed subnanometer- to nanometer-sized PtZn (1.2 ± 0.3 nm) alloy as the active catalytic species.
Teacher knowledge of anxiety and use of anxiety reduction strategies in the classroom

Abstract The current study examined elementary (or primary) school teachers’ knowledge of student anxiety and evidence-based anxiety reduction strategies, whether this knowledge was associated with their use of evidence-based anxiety reduction strategies in the classroom, and correlates of teacher knowledge and use of anxiety reduction strategies in the classroom. Fifty-one volunteer elementary teachers (98% female; 98% White) participated and completed questionnaires about: themselves and work-related factors (e.g., years of teaching experience, self-efficacy), knowledge of student anxiety and anxiety treatment (e.g., core manifestations of anxiety such as physiological arousal, behavioural avoidance, and anxious thoughts), and use of anxiety reduction strategies in the classroom (e.g., relaxation strategies, encouraging the use of coping self-talk, and gradual exposure to feared situations). Results indicated that the average score on the knowledge assessment was 57% and knowledge levels were unrelated to self-reported use of anxiety reduction strategies. The most robust correlate of knowledge of anxiety and use of anxiety reduction strategies was teachers’ perceived personal accomplishment. Findings suggest additional teacher training to increase knowledge about student anxiety and use of evidence-based anxiety reduction strategies in the classroom is warranted.
Interface-Controlled Pd Nanodot-Au Nanoparticle Colloids for Efficient Visible-Light-Induced Photocatalytic Suzuki-Miyaura Coupling Reaction

Plasmonic nanostructures can be employed for performing photocatalytic reactions with visible-light illumination involving two different possible mechanisms, namely, the near-field enhancement and/or direct hot-electron transfer to the conduction band of an active catalyst. In this study, we demonstrate the significant contribution of a graphene interface layer present between plasmonic nanoparticles and active catalysts (Pd nanodots) in enhancing the photocatalytic efficiency of Pd nanodots through an accelerated electron transfer process. The well-defined Pd-nanodot-modified gold nanoparticles with or without a graphene interface layer were prepared using a wet-chemical synthetic method. The role of the graphene interface was investigated by performing wavelength-dependent reduction studies using potassium hexacyanoferrate (III) in the presence of Pd-nanodot-modified cysteamine-modified AuNPs (Pd-cys-AuNPs), Pd-nanodot-modified graphene oxide (GO)-coated AuNPs (Pd-GO-AuNPs), and Pd-nanodot-modified reduced GO (rGO)-coated AuNPs (Pd-rGO-AuNPs). The fastest rate for the reduction of Fe3+ to Fe2+ was obtained with Pd-rGO-AuNPs because of the fast electron transfer achieved in the presence of the reduced graphene oxide layer. The highest catalytic activity for the visible-light induced C-C coupling reaction was obtained with Pd-rGO-AuNPs, indicating the role of the graphene interface layer. These results indicate that the design and use of engineered interfaces are of importance to achieve enhanced catalytic activity with plasmonic hybrid nanomaterials.
Mesoporous CuO/MgO synthesized by a homogeneous-hydrothermal method and its catalytic performance for the ethynylation reaction of formaldehyde

ABSTRACT Mesoporous CuO/MgO catalyst was synthesized by hydrothermal homogeneous precipitation using urea as precipitating reagent. The CuO/MgO catalyst was characterized by BET-N2, X-ray diffraction pattern (XRD), scanning electron microscopy (SEM), transition electron microscopy (TEM), Raman spectra and thermogravimetric analysis (TG). The results indicate that CuO/MgO catalyst possesses extremely fine dispersion of Cu nanoparticles (NPs) with a high specific surface area of 232 m2/g and pore sizes of 6.5 nm. The mesoporous CuO/MgO exhibits excellent catalytic activity for the formaldehyde reaction of acetylene.
BreathID: Radar's New Role in Biometrics

This article is focused on providing some insight into the requirements for a non-contact continuous identity authentication system using radar sensing technologies. This article also discusses the basic principles supporting the potential new role of radar sensing technologies in a broad area of applications. It also highlights challenges associated with this new technology and provides some direction on what is needed to address requirements for real-world applications.
Manifesting living knowledges: A pedagogists’ working manifesto

Abstract In this paper we present a working manifesto that emerged from our projects with pedagogists – a new professional figure in the Canadian early childhood education context. Drawing on feminist scholars’ work, we offer this manifesto as a feminist call to actively think against the anti-intellectualism sustained by existing structures in early childhood education, and as a response to the urgent need to think about early childhood education in more complex, pedagogical, political and ethical ways.
A Monitoring and Forewarning System for Rice Planthoppers

—We develop a monitoring and forewarning system to detect planthoppers in paddy fields. Our detection algorithm consists of two stages. At the first stage, we extract the main paddy in the middle of an image by some traditional image processing techniques. At the second stage, we use a convolutional neural network to detect planthoppers within the extracted region. Our detection model is revised from the Single Shot MultiBox Detector (SSD). The original SSD model usually misrecognizes reflected light as planthoppers since a lot of background information has been discarded in the max pooling layers of the SSD model. To solve this misrecognition problem, we propose a new kind of pooling--Local Difference Pooling. This proposed method greatly improves the performance of planthopper detection to achieve 89.38% precision and 91.93% recall. 
Strategies for Training Undergraduate Teaching Assistants To Facilitate Large Active-Learning Classrooms

Several active-learning pedagogies involve groups of students working together to construct their own understanding of course content. In these classrooms, the instructor serves as a facilitator of learning, by interacting with every group, engaging students in discussions, answering questions, and providing formative feedback. This type of interaction can be challenging for instructors in large enrollment classes. The use of undergraduate teaching assistants (TAs) during active-learning “lecture” periods is an effective way to provide an active-learning experience to a large group of students. Most undergraduate students have little to no experience with facilitating active-learning environments. Therefore, it is important to provide a thorough TA training experience in order for TAs to be effective in an active-learning classroom. Using an iterative design process, several successful strategies were developed to help prepare undergraduate TAs to assist in facilitating a large organic chemistry active-le.
Risk factors of incisional hernia after single-incision cholecystectomy and safety of barbed suture material for wound closure

Purpose Single-incision cholecystectomy is a surgical method that offers comparable results to conventional laparoscopic cholecystectomy. However, a high risk of postoperative incisional hernia is an issue in single-incision cholecystectomy. This study evaluated the risk factors and incidences of incisional hernia after single-incision cholecystectomy and the advantage issue of using barbed suture material during wound closures. Methods A total of 1,111 patients underwent laparoscopic or robotic single-incision cholecystectomy between March 2014 and February 2020 at our institution at CHA Bundang Medical Center. During this period, there were 693 patients who underwent wound closure with monofilament suture material (Monosyn 2-0; B. Braun) and the other 418 patients used barbed suture material (Stratafix 2-0; Ethicon). Results The two patient groups were comparable in age, body mass index, and diagnosis. The total incidence of incisional hernia after single-incision cholecystectomy was 0.5% (five cases). All patients who developed incisional hernia were in the monofilament suture material group (0.7% vs. 0%, p = 0.021). The influence of predictive and possible risk factors on incisional hernia rate was analyzed. Among these factors, only old age was an independent predictive risk factor of incisional hernia. Conclusion Our study showed a low incidence of incisional hernia, all of which occurred in the monofilament suture material group. If technically appropriate, single-incision cholecystectomy does not appear to present a high incidence of hernia. Barbed suture material can be safely applied in wound closure showing comparable incisional hernia incidence to monofilament suture material.
Tendency of lipid radical formation and volatiles in lose or vacuum-packed Brazil nuts stored at room temperature or under refrigeration

The Brazil nut is an important product from the Amazonian region and its productive chain is an income source for local communities. The effect of combinations of packaging atmospheres (loose or vacuum-packed) and storage temperatures (4±1 °C or 24±2 °C) on the tendency of lipid radical formation and on volatiles was investigated for the first time in shelled Brazil nut kernels. It was observed that refrigeration, whether combined with lose packing or vacuum packing, was effective to reduce the tendency for lipid radical formation, as detected by spin-trapping electron spin resonance (ESR) spectroscopy, as well as peroxides, conjugated dienes and 3-octen-2-one. However, the combination of refrigeration with vacuum packing, even using low-density polyethylene (LDPE) pouches with a high oxygen transmission rate (OTR), also reduced the formation of hexanal, which is a major off-flavor volatile, and thus should be recommended for the storage of Brazil nut kernels for the studied period.
Accuracy Analyses for Detecting Small Creatures Using an OpenCV-Based System with AI for Caffe’s Deep Learning Framework

—Agricultural workers want to detect, eliminate, and avoid touching small creatures such as frogs and insects in advance of and during their agricultural work. On the other side, recent researches have suggested diverse countermeasures such as developing robot arm-based machines for harvesting vegetables and pulling up weeds using camera systems; past methods have included monitoring and identifying the positive and negative targets. However, there are not sufficient previous systems for sensing and analyzing the aforementioned small creatures in farmlands. The purpose of this original research is proving the utility of our visual data analysis system based on huge image datasets using Caffe Framework for deep learning using ImageNet 2012, which connects to our program using OpenCV libraries and other outside files. In short, this study selects and executes static visual analyses using AI-based computing by tools concerning deep learning using several hidden layers after obtaining and accumulating field pictures and video data concerning small creatures such as frogs and insects in outdoor farmlands. Additionally, the author calculates the ratio between the sizes of outline of leaves on which small creatures existed as well as that of the targeted small creatures as one original standard for giving a unity to the pictures selected to some extent. Our results confirm the utility of the detection methodologies. In future, these results could contribute to the development of automatic agricultural harvesting robot-systems and to improving the daily work effectiveness of actual manual workers. Furthermore, an automatic system for eliminating small creatures could support the recruitment of agricultural workers.
Biogenic emissions and land–atmosphere interactions as drivers of the daytime evolution of secondary organic aerosol in the southeastern US

Abstract. The interactions between biogenic volatile organic compounds (BVOCs), like isoprene and monoterpenes, and anthropogenic emissions of nitrogen and sulfur oxides lead to high concentrations of secondary organic aerosol (SOA) in the southeastern United States. To improve our understanding of SOA formation, we study the diurnal evolution of SOA in a land–atmosphere coupling context based on comprehensive surface and upper air observations from a characteristic day during the 2013 Southern Oxidant and Aerosol Study (SOAS) campaign. We use a mixed layer model (MXLCH-SOA) that is updated with new chemical pathways and an interactive land surface scheme that describes both biogeochemical and biogeophysical couplings between the land surface and the atmospheric boundary layer (ABL) to gain insight into the drivers of the daytime evolution of biogenic SOA. MXLCH-SOA reproduces observed BVOC and surface heat fluxes, gas-phase chemistry, and ABL dynamics well, with the exception of isoprene and monoterpene mixing ratios measured close to the land surface. This is likely due to the fact that these species do not have uniform profiles throughout the atmospheric surface layer due to their fast reaction with OH and incomplete mixing near the surface. The flat daytime evolution of the SOA concentration is caused by the dampening of the increase due to locally formed SOA by entrainment of SOA-depleted air from the residual layer. SOA formation from isoprene through the intermediate species isoprene epoxydiols (IEPOXs) and isoprene hydroxyhydroperoxides (ISOPOOHs) is in good agreement with the observations, with a mean isoprene SOA yield of 1.8 %. However, SOA from monoterpenes, oxidised by OH and O3, dominates the locally produced SOA (69 %), with a mean monoterpene SOA yield of 10.7 %. Isoprene SOA is produced primarily through OH oxidation via ISOPOOH and IEPOX (31 %). Entrainment of aged SOA from the residual layer likely contributes to the observed more oxidised oxygenated organic aerosol (MO-OOA) factor. A sensitivity analysis of the coupled land surface–boundary layer–SOA formation system to changing temperatures reveals that SOA concentrations are buffered under increasing temperatures: a rise in BVOC emissions is offset by decreases in OH concentrations and the efficiency with which SVOCs partition into the aerosol phase.
Deepfake videos: synthesis and detection techniques - a survey

Deep learning has been used in computer vision to accomplish many tasks that were previously considered too complex or resource-intensive to be feasible. One remarkable application is the creation of deepfakes. Deepfake images change or manipulate a person’s face to give a different expression or identity by using generative models. Deepfakes applied to videos can change the facial expressions in a manner to associate a different speech with a person than the one originally given. Deepfake videos pose a serious threat to legal, political, and social systems as they can destroy the integrity of a person. Research solutions are being designed for the detection of such deepfake content to preserve privacy and combat fake news. This study details the existing deepfake video creation techniques and provides an overview of the deepfake datasets that are publicly available. More importantly, we provide an overview of the deepfake detection methods, along with a discussion on the issues, challenges, and future research directions. The study aims to present an all-inclusive overview of deepfakes by providing insights into the deepfake creation techniques and the latest detection methods, facilitating the development of a robust and effective deepfake detection solution.