Miracle-dz/UniFAR-FTUs huggingface dataset:
Face Detectors Evaluation to Select the Fastest among DLIB, HAAR Cascade, and MTCNN

Face detection is an important problem in computer vision research and applications are getting trending due to the advancement in the file of machine learning and computer vision. There are several algorithms and models for face recognition. However, face detection is the first step in all implementations. This research proposed a face detection method based on an enhanced Multi-Task Convolution Neural Network (MTCNN) and improves the network of MTCNN, creates a neural network model based on MTCNN using Python, and cascades to increase the accuracy of face location in difficult scenarios. In this research paper, we evaluated the performance of three famous face detector models on CPU-based machines. Experiments show that HAAR Cascade is the fastest on CPU-based machines but in the case of accuracy, MTCNN is better. MTCNN and DLIB based detectors are designed for GPU-based machines.
ArticlePrognostic Significance of CHIP and RIPK3 in Non-Small Cell Lung CancerJisup Kim 1

RIPK3 is a key regulator of necroptosis, which plays a double-edged sword role in tumor progression. CHIP is an E3 ubiquitin ligase that regulates necroptosis by degrading RIPK3. Here, we investigated the prognostic value of RIPK3 and CHIP expression in 404 patients with non-small cell lung cancer (NSCLC). Expressions of CHIP and RIPK3 showed opposite correlations with survival. CHIP expression was associated with the longer overall survival (OS), whereas RIPK3 expression was associated with the shorter OS. RIPK3 positivity showed marginal association with shorter OS and disease-free survival (DFS) in adjuvant radiotherapy recipients but not in nonrecipients, suggesting that necroptosis may induce radioresistance. In multivariate analysis, CHIP expression was associated with longer OS. Compared with other patients, CHIP(−)/RIPK3(+) patients had shorter OS and DFS. In summary, in patients with NSCLC, the expression of CHIP was an independent favorable prognostic factor while that of RIPK3 was an adverse prognostic factor.
a of replacement of biogenic and abiogenic aragonite by – of biogenic and by control on effective

16 17 Dolomitization, i.e., the secondary replacement of calcite or aragonite (CaCO 3 ) by 18 dolomite (CaMg[CO 3 ] 2 ), is one of the most volumetrically important carbonate diagenetic 19 processes. It occurs under near surface and shallow burial conditions and can significantly 20 modify rock properties through changes in porosity and permeability. Dolomitization fronts are 21 directly coupled to fluid pathways, which may be related to the initial porosity/permeability of 22 the precursor limestone, an existing fault network or secondary porosity/permeability created 23 through the replacement reaction. In this study, the textural control on the replacement of 24 biogenic and abiogenic aragonite by Mg-carbonates, that are typical precursor phases in the 25 dolomitization process, was experimentally studied under hydrothermal conditions. Aragonite 26 samples with different textural and microstructural properties exhibiting a compact (inorganic 27 aragonite single crystal), an intermediate (bivalve shell of Arctica islandica) and open porous 28 structure (skeleton of coral Porites sp.) were reacted with a solution of 0.9 M MgCl 2 and 0.015 M 29 SrCl 2 at 200 °C. The replacement of aragonite and leads to the formation of a porous reaction front that progressively replaces the aragonite precursor. The reaction leads to the development of porosity within the reaction front and distinctive microstructures such as gaps and cavities at the reaction interface. The newly formed reaction rim consists of chemically distinct phases separated by sharp boundaries. It was found that the number of phases and their chemical variation decreases with increasing initial porosity 36 and reactive surface area. This observation is explained by variations in effective element fluxes that result in differential chemical gradients in the fluid within the pore space of the reaction rim. Observed reaction rates are highest for the replacement of the initially highly porous coral and lowest for the compact structure of a single aragonite crystal. Therefore, the reaction progress equally depends on effective element fluxes between the fluid at the reaction interface and the bulk solution surrounding the test material as well as the reactive surface area. This study demonstrates that the textural and microstructural properties of the parent material have a significant influence on the chemical composition of the product phase. Moreover, our data highlight the importance of effective fluid-mediated element exchange between the fluid at the 45 reaction interface and the bulk solution controlled by the local microstructure. The three-dimensional geometry of the reaction front and the newly developed microstructures were investigated by X-ray micro-computed tomography (µ-CT) analysis performed using a 1173 scanner The
The Arabidopsis Protein CGL160 Promotes Assembly of the CFO Part of the Chloroplast ATP Synthase

The chloroplast ATP synthase/ATPase (cpATPase) couples ATP synthesis to the light-driven electrochemical proton gradient. The cpATPase is a multi-protein complex and consists of a membrane-spanning protein channel (comprising subunit types a, b, b’ and c) and a peripheral domain (subunits α, β, γ, δ and ε). We report the characterization of the Arabidopsis thaliana CGL160 (AtCGL160) protein, conserved in green algae and plants. AtCGL160 is an integral thylakoid protein and its C-terminal portion is distantly related to prokaryotic Atp1/UncI proteins which are thought to function in ATP synthase assembly. Plants without AtCGL160 display an increase in xanthophyll-cycle activity and energy-dependent non-photochemical quenching (qE). These photosynthetic perturbations can be attributed to a severe reduction in cpATPase levels which result in increased acidification of the thylakoid lumen. AtCGL160 is not an integral cpATPase component, but is specifically required for the efficient incorporation of the c-subunit into the cpATPase. AtCGL160, as well as a chimeric protein containing the N-terminal part of AtCGL160 and Synechocystis sp. PCC6803 Atp1, physically interact with the c-subunit. We conclude that AtCGL160 and Atp1 facilitate assembly of the membranous part of the cpATPase in their hosts, but loss of their functions provokes a unique compensatory response in each organism. www.plantphysiol. org on September 4, 2017 Published by Downloaded from Copyright © 2014 American Society of Plant Biologists. All rights reserved.
a n exPloRatoRy analysis of seasonal and intRaseasonal vaRiations of the main aiRboRne Pollen tyPes in s unchales city , a Rgentina

Background and aims : The study of the seasonal and intra-seasonal variability of the airborne pollen concentration is of paramount importance to understand the relationships with the emitting vegetation and the atmospheric parameters that modulate pollen transport. This research aims to study these variabilities in Sunchales, a city located in the center-east of Argentina. M&M : Atmospheric monitoring was carried out with a Burkard trap during two seasons in 2012 and 2013 on the outskirts of the city. Results & Conclusions : The pollination periods of the studied pollen types show a delay in 2013 compared to the previous year, presumably related to a greater amount of cumulative heat units in 2012. However, the integral pollen for the period 2013 was 1.4 times higher than 2012, a fact that is not explained by accumulated precipitation but by the time of day when the hydrometeors occur. Binned pollen concentrations show that the highest concentrations coincide with the urban location of the tree sources while the herbaceous ones show an association with a rural origin. Regarding the intra-seasonal variability, the highest proportion of the airborne pollen variance accumulates on the synoptic-scale (80 - 60%) with periods between 3 and 10 days. During 2012 long waves predominated (> 5.5 days) while in 2013 medium waves prevailed (3.9 - 5.5 days).
MOLECULAR, BACTERIOLOGICAL AND CLINICAL PATHOLOGICAL STUDIES ON PNEUMONIC CALVES WITH SPECIAL REFERENCE TO ANTIBIOTIC RESISTANCE GENES

The aim of the present study was to study the bacterial investigation of pneumonic calves, antibiotic susceptibility testing and analysis of some virulence and antibiotic resistance genes for the recovered isolates and evaluation of the changes of haematological indices and selected serum biochemistry variables. Bacteriological examination of nasal swabs of 40 apparently healthy and 90 pneumonic calves revealed that E. coli was the prominent pathogen (34.6%) followed by S. aureus (28.5%) and Past. Multicoda (13.1%). Antibiotic sensitivity testing exhibited high resistance rates of E. coli and S. Aureus isolates against the most used antibiotics. Past. Multocida isolates were of high sensitivity rate against most antibiotics except some resistance for tetracycline, enerofloxacin and norofloxacin. Both iss and pap C virulence genes of E. coli were detected in 80% and 60% of the examined isolates, respectively. High prevalence rate of virulence genes (spa, clfA) and (Tox A and kmt1) of S. aureus and Past. multocida recovered isolates was recorded. Genotypic detection of antibiotic resistant genes of the most yielded isolates was discussed in details. In pneumonic calves, there were significant decreases in RBCs, Hb and PCV than that of healthy one. The significant increase in WBCs with neutrophilia was detected as well as significant decrease in lymphocyte count. Serum biochemical parameters revealed significant increase in globulin, AST, ALT, urea, creatinine, P and K, while albumin, glucose, Fe, Mg and Ca were significantly decreased. Key wards: Bacteriology, virulence, antibiotics, PCR, hematology, biochemical, Bovine, bronchopneumonia.
ROSIGLITAZONE AND COGNITIVE STABILITY IN OLDER PERSONS WITH TYPE 2 DIABETES AND MILD COGNITIVE IMPAIRMENT

This is an uncopyedited electronic version of an article accepted for publication in Diabetes Care. The American Diabetes Association, publisher of Diabetes Care, is not responsible for any errors or omissions in this version of the manuscript or any version derived from it by third parties. The definitive publisherauthenticated version will be available in a future issue of Diabetes Care in print and online at http://care.diabetesjournals. org. Diabetes Care Publish Ahead of Print, published online April 30, 2010
Excision of 3 * Termini by the Trex1 and TREX2 3 * 3 5 * Exonucleases CHARACTERIZATION OF THE RECOMBINANT PROTEINS*

The excision of nucleotides from DNA 3 * termini is an important step in DNA replication, repair, and recombination pathways to generate correctly base paired termini for subsequent processing. The mammalian TREX1 and TREX2 proteins contain potent 3 * 3 5 * exonucleases capable of functioning in this capacity. To study the activities of these exonucleases we have developed strategies to express and purify the recombinant mouse Trex1 and human TREX2 proteins in Escherichia coli in quantities sufficient for biochemical characterization. The Trex1 and TREX2 proteins are homodimers that exhibit robust 3 * excision activities with very similar preferred reaction conditions and preferences for spe-cific DNA substrates. In a steady-state kinetic analysis, oligonucleotide substrates were used to measure 3 * nucleotide excision by Trex1 and TREX2. The Michaelis constants derived from these data indicate similar apparent k cat values of 22 s 2 1 for Trex1 and 16 s 2 1 for TREX2 using single-stranded oligonucleotides. The apparent K M values of 19 n M for Trex1 and 190 n M for TREX2 suggest relatively high affinities for DNA for both Trex1 and TREX2. An exonuclease competition assay was designed using heparin as a nonsubstrate inhibitor with a series of partial duplex DNAs to delineate the substrate structure preferences for 3 * nucleotide excision by Trex1 and TREX2. The catalytic properties of the TREX proteins suggest roles for these enzymes in the 3 * end-trimming processes necessary for
The role of chemistry in the oscillating combustion of hydrocarbons: An experimental and theoretical study

The stable operation of low-temperature combustion processes is an open challenge, due to the presence of undesired deviations from steady-state conditions: among them, oscillatory behaviors have been raising significant interest. In this work, the establishment of limit cycles during the combustion of hydrocarbons in a wellstirred reactor was analyzed to investigate the role of chemistry in such phenomena. An experimental investigation of methane oxidation in dilute conditions was carried out, thus creating quasi-isothermal conditions and decoupling kinetic effects from thermal ones. The transient evolution of the mole fractions of the major species was obtained for different dilution levels (0.0025 X 0.025 CH4 ), inlet temperatures ( K T K 108
Time-Varying Associations Between Device-Based and Ecological Momentary Assessment–Reported Sedentary Behaviors and the Concurrent Affective States Among Adolescents: Proof-of-Concept Study

Background Previous studies on affective state–sedentary behavior (SB) associations have not accounted for their potentially time-varying nature and have used inconsistent SB measurement modalities. We investigated whether the strength of the associations between affective states and SB varied as a function of the time of day and by SB measurement modality (device-measured SB vs ecological momentary assessment–reported screen-based SB) in youth. Objective This study aimed to establish a proof of concept that SB–affective state associations may not be static during the day. In addition, we aimed to inform the methodology of future work, which may need to model associations as functions of the time of day and carefully consider how SB is operationalized or measured. Methods A total of 15 adolescents (age: mean 13.07, SD 1.03 years; 10/15, 67% female; 6/15, 40% Hispanic; 10/15, 67% healthy weight) wore thigh-mounted activPAL accelerometers and simultaneously reported their screen-based SBs and concurrent positive and negative affective states via ecological momentary assessment for 7 to 14 days (N=636 occasions). Time-varying effect models (varying slopes) examined how each measure of SB was associated with concurrent affective states from 7 AM to 8 PM. Results Time-varying effect model plots revealed that these associations varied in strength throughout the day. Specifically, device-based SB was related to greater concurrent negative affect only after approximately 5 PM and was unrelated to concurrent positive affect. Screen-based SB was related to greater concurrent negative affect only from 7 AM to approximately 9 AM. This was also related to greater concurrent positive affect from 7 AM to approximately 9:30 AM and from approximately 3 PM to approximately 7 PM. Conclusions We provide preliminary evidence to suggest that future confirmatory studies investigating the SB–affective state relationship should consider the time-varying nature of these associations and SB measurement modality. There may be critical time windows when specific types of SBs co-occur with affect, suggesting that interventions may need tailoring to the time of day and type of SB if future studies using similar methodologies can replicate our findings.
Culturally Safe eHealth Interventions With Aboriginal and Torres Strait Islander People: Protocol for a Best Practice Framework

Background There is growing global evidence on the adoption and effectiveness of eHealth (including mobile health and telehealth) by First Nation peoples including Aboriginal and Torres Strait Islander people. Although there are frameworks to guide eHealth development, implementation, and evaluation, it is unknown whether they adequately encapsulate the health, cultural, and community-related priorities of Aboriginal and Torres Strait Islander people. Objective The aim of this research program is to prepare a best practice framework that will guide the co-design, implementation, and evaluation of culturally safe eHealth interventions within existing models of health care for Aboriginal and Torres Strait Islander people. The framework will be a synthesis of evidence that represents best practices in eHealth, as determined by Aboriginal and Torres Strait Islander people. Methods Research activities to develop the best practice framework will occur in stepped but overlapping qualitative research phases with governance from an existing multiagency research collaboration (the Collaboration). The research protocol has been informed by key research frameworks such as the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) and Developers of Health Research Reporting Guidelines. The seven phases of research will include the following: systematic literature review, scoping review, theme development, theme consultation, Delphi processes for expert reviews, and dissemination. Results Members of the Collaboration conceived this research program in August 2020, and a draft was produced in June 2021 with subsequent funding obtained in July 2021. The Collaboration approved the protocol in December 2021. Results for several research phases of the best practice framework development are expected by January 2023, commencing with the systematic literature review and the scoping review. Conclusions The research program outlined in this protocol is a timely response to the growing number of eHealth interventions with Aboriginal and Torres Strait Islander people. A best practice framework is needed to guide the rigorous development and evaluation of eHealth innovations to promote genuine co-design and ensure cultural safety and clinical effectiveness for Aboriginal and Torres Strait Islander people. International Registered Report Identifier (IRRID) DERR1-10.2196/34904
Influence of cannabis use history on the impact of acute cannabis smoking on simulated driving performance during a distraction task

Abstract Objective: This research explores the driving performance of people who use cannabis daily or occasionally during distraction tasks performed following acute cannabis use. Methods: Healthy adults aged 25 to 45 years with different cannabis usage histories were recruited to participate in a within-subjects controlled experiment using a car-based driving simulator. Participants were classified as having daily use (n = 31), occasional use (1 or 2 times per week; n = 24), or no-use (n = 30). Participants completed a practice drive followed by four 5–10 minute driving scenarios during the baseline period. Participants then smoked self-procured cannabis flower ad libitum for up to 15 minutes. Thirty minutes later, they completed four additional 5–10 minute scenarios. Scenarios were paired according to difficulty and randomized across the baseline and post-use periods. Each scenario contained between 0 and 3 repetitions of a distraction task where the participant was prompted by an audio message to select an app from a 4 × 5 grid displayed on a mounted tablet, a step that would require briefly looking away from the roadway. Measures of driving performance (lane departures, standard deviation of lateral position) were assessed during the five-second period following the audio trigger and analyzed using generalized linear mixed models. Results: Those with a pattern of occasional use were significantly more likely to experience a lane departure during distraction periods after acute cannabis use relative to baseline (OR = 3.71, p = 0.04, CI = 1.04, 13.17), while those with daily use did not exhibit a similar increase (OR = 1.56, p = 0.43, CI = 0.52, 4.64). Changes in departure risk were significantly greater for the occasional use group compared to no-use (p = 0.02), but not for the daily use group compared to no-use (p = 0.18). However, following acute use, those who use daily exhibited decreases in speed relative to baseline in comparison to the changes observed in the no-use group (p = 0.02), while differences between occasional and no-use did not reach statistical significance (p = 0.052). Differences in standard deviation of lateral position were not statistically significant, likely due to the short duration of tasks. Conclusions: These results find the largest potential safety concerns associated with a pattern of occasional use, who displayed an increase in lane departures after acute cannabis smoking. Those in the daily use group decreased their speed, which may be interpreted as compensation for drug effects. Further research is needed to understand the effects during longer and more complex secondary tasks.
Does brain activity cause consciousness? A thought experiment

Rapid advances in neuroscience have provided remarkable breakthroughs in understanding the brain on many fronts. Although promising, the role of these advancements in solving the problem of consciousness is still unclear. Based on technologies conceivably within the grasp of modern neuroscience, we discuss a thought experiment in which neural activity, in the form of action potentials, is initially recorded from all the neurons in a participant’s brain during a conscious experience and then played back into the same neurons. We consider whether this artificial replay can reconstitute a conscious experience. The possible outcomes of this experiment unravel hidden costs and pitfalls in understanding consciousness from the neurosciences’ perspective and challenge the conventional wisdom that causally links action potentials and consciousness.
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving

Reinforcement learning (RL) requires skillful definition and remarkable computational efforts to solve optimization and control problems, which could impair its prospect. Introducing human guidance into RL is a promising way to improve learning performance. In this article, a comprehensive human guidance-based RL framework is established. A novel prioritized experience replay mechanism that adapts to human guidance in the RL process is proposed to boost the efficiency and performance of the RL algorithm. To relieve the heavy workload on human participants, a behavior model is established based on an incremental online learning method to mimic human actions. We design two challenging autonomous driving tasks for evaluating the proposed algorithm. Experiments are conducted to access the training and testing performance and learning mechanism of the proposed algorithm. Comparative results against the state-of-the-art methods suggest the advantages of our algorithm in terms of learning efficiency, performance, and robustness.