Miracle-dz/UniFAR-FTUs huggingface dataset:
Centrioles generate a local pulse of Polo/PLK1 activity to initiate mitotic centrosome assembly

Mitotic centrosomes are formed when centrioles start to recruit large amounts of pericentriolar material (PCM) around themselves in preparation for mitosis. This centrosome “maturation” requires the centrioles and also Polo/PLK1 protein kinase. The PCM comprises several hundred proteins and, in Drosophila, Polo cooperates with the conserved centrosome proteins Spd-2/CEP192 and Cnn/CDK5RAP2 to assemble a PCM scaffold around the mother centriole that then recruits other PCM client proteins. We show here that in Drosophila syncytial blastoderm embryos, centrosomal Polo levels rise and fall during the assembly process—peaking, and then starting to decline, even as levels of the PCM scaffold continue to rise and plateau. Experiments and mathematical modelling indicate that a centriolar pulse of Polo activity, potentially generated by the interaction between Polo and its centriole receptor Ana1 (CEP295 in humans), could explain these unexpected scaffold assembly dynamics. We propose that centrioles generate a local pulse of Polo activity prior to mitotic entry to initiate centrosome maturation, explaining why centrioles and Polo/PLK1 are normally essential for this process.
Sustaining Young Canadian Baptists in the Faith: Exploring the Connection between Religious Affect and Parental Religious Attendance

Abstract This paper explores the impact of parental religious practice on sustaining positive religious affect among churchgoing young Canadian Baptists. A total of 299 participants between the ages of 12 and 18 years attending a summer youth programme sponsored by the Canadian Baptists of Atlantic Canada, completed the Francis Scale of Attitude toward Christianity as a measure of positive religious affect, together with measures of frequency of church attendance for themselves, their mother and their father. These data identified fathers’ religious attendance as a statistically significant factor augmenting the effect of mothers’ religious attendance for sustaining young Canadian Baptists in the faith. The implications of this finding are discussed for pastoral practice.
On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes

The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of people each year, has been attributed to increased human population, migration, and environmental changes. Convolutional neural networks (CNNs) have been used by several studies to recognise mosquitoes in images provided by projects such as Mosquito Alert to assist entomologists in identifying, monitoring, and managing MBD. Nonetheless, utilising CNNs to automatically label input samples could involve incorrect predictions, which may mislead future epidemiological studies. Furthermore, CNNs require large numbers of manually annotated data. In order to address the mentioned issues, this paper proposes using the Monte Carlo Dropout method to estimate the uncertainty scores in order to rank the classified samples to reduce the need for human supervision in recognising Aedes albopictus mosquitoes. The estimated uncertainty was also used in an active learning framework, where just a portion of the data from large training sets was manually labelled. The experimental results show that the proposed classification method with rejection outperforms the competing methods by improving overall performance and reducing entomologist annotation workload. We also provide explainable visualisations of the different regions that contribute to a set of samples’ uncertainty assessment.
International Journal of Instruction

Citation: Dewi, I. N. , Utami, S. D. , Effendi, I. , Ramdani, A. , & Rohyani, I. S. (2021). The Effectiveness of Biology Learning-Local Genius Program of Mount Rinjani Area to Improve The Generic Skills. International Journal of Instruction, 14(1), 265-282. https://doi.org/10.29333/iji.2021. 14116a Article submission code: 20190910035712 Received: 10/09/2019 Revision: 18/06/2020 Accepted: 08/07/2020 OnlineFirst:18/10/2020
Effect of extrusion on tensile behavior of S Glass and Fly ash reinforced Al 7005 hybrid composites.

Metal Matrix Composites (MMCs) are most capable in accomplishing improved mechanical properties and wear properties due to the presence of reinforced particles. Aluminium is used in various applications because of its light weight and corrosion resistant. In the present work, Al7005 matrix alloy is reinforced with different Weight % of S-Glass and Fly-ash were prepared through stir casting technique and hot extruded at a ratio of 5.32:1. The extruded Al 7005 hybrid MMCs were later subjected to tensile test and compared with casted composites. The properties of extruded hybrid MMCs were found to be better than the hybrid MMCs. It is observed that Yield strength (YS) of extruded Al 7005 +5% S-Glass+6% Fly ash hybrid MMCs improved by 7.43% and Ultimate tensile strength (UTS)of extruded Al 7005 +5% S-Glass+6% Fly-ash hybrid MMCs improved by 7.43%, While percentage of elongation is reduced to 14% than casted composites.
Tetrahedron equation: algebra, topology, and integrability

The Zamolodchikov tetrahedron equation inherits almost all the richness of structures and topics in which the Yang–Baxter equation is involved. At the same time, this transition symbolizes the growth of the order of the problem, the step from the Yang–Baxter equation to the local Yang–Baxter equation, from the Lie algebra to the 2-Lie algebra, from ordinary knots in to 2-knots in . These transitions are followed in several examples, and there are also discussions of the manifestation of the tetrahedron equation in the long-standing question of integrability of the three-dimensional Ising model and a related model of neural network theory: the Hopfield model on a two-dimensional lattice. Bibliography: 82 titles.
Object-based multi-features Wetland classification method of GF-2 PMS imagery

Wetland plays an important role in the earth's ecosystem. However there are still a lot of problems to classify and extract wetlands through high-resolution satellite imagery. We propose an object-based multi-features wetland classification method of GF-2 PMS imagery, taking Yuanjiang, Hunan Province as the study area, selecting multi-dimensional object features including spectral, geometric, terrain and texture features to train the CART classifier and evaluate the accuracy of the classification results. The results show that the method can obtain accurate wetland classification results, which provides technical reference for wetland classification based on GF-2 PMS imagery.
Modeling non-equilibrium discharge and validating transient plasma characteristics at above-atmospheric pressure

Non-equilibrium plasma generated from positive-pulsed nanosecond electrical discharges into desiccated air is simulated in this paper using a multi-dimensional, multi-physics plasma solver. A pin-to-pin electrode configuration is used with a fixed 5.2 mm gap spacing. Peak pulse voltages range between 10.2 and 22.5 kV. Care is taken to match the exact electrode profile from the experiments, and adjust the electron collision frequency so that breakdown limits closely match those from corresponding experimental results. The optimized numerical simulations predict qualitative streamer structure that is in close agreement with experimental observations. Quantitative measurements of atomic oxygen at the anode tip and qualitative estimates of streamer gas heating are closely matched by simulations. The model results are used to provide insight into the spatial and temporal development of the transient plasma. The work performed in this paper delivers a numerical tool that can be extremely useful to link the post-discharge plasma properties to low-temperature plasma ignition mechanisms that are of great interest for the automotive industry.
Hypothesis Testing Review of Hypothesis Testing PSYCH 710 September 25 , 2021 0 Testing means 0

Consider the following scenario: The population of a small town was unknowingly exposed to an environmental toxin over the course of several years. There is a possibility that exposure to the toxin during pregnancy adversely affects cognitive development which eventually leads to lower verbal IQ. To determine if this has happened to the children of this town, you use a standardized test to measure verbal intelligence in a random sample of 20 children who were exposed to the toxin. Based on extensive testing with typical children, the mean and standard deviation of the scores in the population of typical children is 100 and 10, respectively. The mean score of your sample was 93. Given this information, should we conclude that our sample of twenty scores was drawn from the population of typical scores? We will answer this question in what appears to be a roundabout way. We will start by assuming that there was no effect of the toxin, and therefore that our sample of scores was drawn from the population of typical scores. Hence, our null hypothesis is that the data were drawn from a population with a mean of 100 (μ = 100) and a standard deviation of 10 (σ = 10). Next, we have to evaluate whether our observation (i.e., the sample mean is 93) is unusual, or unlikely, given the assumption that the null hypothesis is true. If the observation is unlikely, then we reject the null hypothesis (μ = 100) in favor of the alternative hypothesis that μ ̸= 100. In your textbook, the null and alternative hypotheses often are displayed thusly:
The development of new molecular tools to investigate epidermal Ca2+ homeostasis

The calcium ion (Ca2+) is a ubiquitous second messenger with well-established roles across many tissue systems. In the epidermis, Ca2+ has long been identified as a primary regulator of proliferation, differentiation, and barrier homeostasis. A gradient in Ca2+ has been observed with the general view that both intracellular and extracellular Ca2+ concentrations are lowest in the basal layer and peaking in the upper granular layer. Work in vitro has identified that modifications of extracellular Ca2+ dictate the proliferation state of keratinocytes. However, this extracellular switch has not been elucidated in vivo. In addition, despite defective Ca2+ uptake into organelles such as ER and golgi being shown to disrupt barrier homeostasis, only now is it emerging that mitochondria may play a significant role in epidermal homeostasis on regulation and differentiation as well as apoptosis. In this thesis, a bi-fold approach was taken in order to develop new molecular tools in order to allow the investigation into the role of extracellular Ca2+ in epidermis in vivo and the role of mitochondrial Ca2+ in proliferating and differentiating HaCaT keratinocytes. Firstly, two extracellular genetically encoded Ca2+ indicators targeted to the extracellular surface were designed and generated. The first CatchER, was unsuccessful despite protein production being confirmed. The second, green and red (G/R)-CEPIA1pm, was successfully targeted to the plasma membrane and using live cell imaging, Ca2+ sensitivity of the probe was confirmed. Incorporation of this novel probe into 3D-culture systems has the potential to throw new light on the role of extracellular Ca2+ in tissues. In order to investigate the role of mitochondrial Ca2+ on keratinocyte homeostasis, the recently described mitochondrial Ca2+ uniporter was knocked out using the CRISPR/Cas9 gene editing system. Using qPCR and Western blotting, the relative expression of some MCU family proteins was investigated. Mitochondrial aequorin was used to investigate Ca2+ handling in keratinocytes in proliferating or differentiating conditions. In addition, in the same conditions, proliferation studies were used in order to assess the effect of reduced mitochondrial Ca2+ uptake on keratinocyte homeostasis. HaCaT keratinocytes grown in low Ca2+ proliferate at a higher rate than those in high Ca2+ conditions. This increased growth rate is accompanied by an increase in agonist-evoked mitochondrial Ca2+ uptake and also a decrease in the gene expression of the MCU inhibitor, MICU2. HaCaT keratinocytes devoid of the MCU protein struggle to proliferate in high Ca2+ conditions, with cell death and cell senescence appearing to occur. This reduction in proliferation rate of MCU -/- HaCaT keratinocytes is partly rescued when grown in low Ca2+ conditions. These results indicate an important role for mitochondrial Ca2+ in keratinocyte and in turn, epidermal homeostasis.
Study on high-strength high-N austenitic stainless steel prepared by spark plasma sintering

A novel method consists of nitriding and spark plasma sintering was used to fabricate high nitrogen austenitic stainless steel (HNASS). The influences of nitrogen contents in austenitic stainless steel on microstructure, mechanical properties and corrosion resistance were investigated. Results show that the ferrite-austenite phase transformed into single austenite phase after nitriding uptake. The nitrogen contents determined the type of precipitates chromium nitrides, and the contents higher than 2.77 wt. % promoted the formation of CrN, which corresponds well with thermodynamic results. The fine grain size (round 3μm) and precipitated chromium nitrides (200~600 nm) lead to a high yield strength of 817-1111MPa, which exceeds conventional stainless steel. The corrosion rate decreased with increasing content up to 1.29 wt. %, then the corrosion rate increased with increasing nitrogen contents, which results from the combined effect of solute nitrogen and nitrides.
Experimental and numerical modal analysis of short carbon fiber reinforced polyethersulfone composites

Damping is the resistance to the vibratory motion. Viscous dampers are generally used to resist the repetitive motion and dissipate the energy out of the vibrating system. However, material of the vibrating body itself will have ability to dissipate the vibratory energy which is often referred as material damping. Even though, material damping is very small compared to viscous damping, in many practical situations, this may also play significant role. This work was focused on the evaluation of material damping of short carbon fiber (SCF) reinforced polyethersulfone (PES) composites by adopting free vibration test methodology. In addition, Young’s modulus of the PES/SCF composites was determined through their natural frequencies. Investigation was made by reinforcing the PES with 10, 20 and 30 wt. % of SCF using twin screw extruder and injection moulding machine. Free vibration response of the clamped-free composite beam was captured through an accelerometer sensor. Free vibration test revealed that PES composites showed reduction in damping with increase in SCF content due to stiffening of the polymer. Natural frequencies of PES composites increased with increase in SCF loading. Tensile modulus enhanced by 267% with respect to neat polymer for 30 wt. % of SCF reinforcement. Also, numerical frequency analysis was carried out using Abaqus finite element package and simulated results closely fitted with the experimental data.
Effect of ambient temperature on food consumption and utilization by eggplant shoot and fruit borer, Leucinodes orbonalis Guenee (Lepidoptera: Crambidae)

Food intake and utilization is a critical factor for growth, development and reproduction of an insect. Nutritionists developed the concept of food consumption and utilization in order to relate the quality of food with growth and development of animals. These indices lead to understanding of the effect of biotic and abiotic factors on insect life (Parra et al., 2012). Temperature is a critical abiotic factor, which has significant influence on the activity of insect pests as well as natural enemies (Thakur and Rawat, 2014; Sahoo et al. 2016). Temperature also affects the nutritional aspects viz. consumption and utilization of food. Metabolic demands of insect increase with increases in temperature levels, which is usually met with by increasing the food consumption. Eggplant shoot and fruit borer (ESFB), Leucinodes orbonalis Guenee is the most damaging pest of eggplant (Solanum melongena Linnaeus), and incur huge losses ranging from 60-100% (Singh and Nath, 2010; Mainali et al., 2015). In the era of changing climate, it is imperative to study effect of temperature on food consumption of this noxious pest so that stakeholders could outline the strategies to tackle the pest.
Blood Cytokine Analysis Suggests That SARS-CoV-2 Infection Results in a Sustained Tumour Promoting Environment in Cancer Patients

Cytokines, chemokines and (angiogenic) growth factors (CCGs) have been shown to play an intricate role in the progression of both solid and haematological malignancies. Recent studies have shown that SARS-CoV-2 infection leads to worse outcome in cancer patients, especially in haematological malignancy patients. Here, we investigated how SARS-CoV-2 infection impacts the already altered CCG levels in solid or haematological malignancies, specifically whether there is a protective effect or rather a potentially higher risk for major COVID-19 complications in cancer patients due to elevated CCGs linked to cancer progression. Serially analysing immune responses with 55 CCGs in cancer patients under active treatment with or without SARS-CoV-2 infection, we first showed that cancer patients without SARS-CoV-2 infection (n=54) demonstrate elevated levels of 35 CCGs compared to the non-cancer, non-infected control group of health care workers (n=42). Of the 35 CCGs, 19 were common to both solid and haematological malignancy groups and comprised previously described cytokines such as IL-6, TNF-, IL-1Ra, IL-17A, and VEGF, but also several less well described cytokines/chemokines such as Fractalkine, Tie-2, and T cell chemokine CTACK. Importantly, we show here that 7 CCGs are significantly altered in SARS-CoV-2 exposed cancer patients (n=52). Of these TNF-, IFN-{beta}, TSLP and sVCAM-1, identified to be elevated in haematological cancers, are also known tumour-promoting factors. Longitudinal analysis conducted over 3 months showed persistence of several tumour-promoting CCGs in SARS-CoV-2 exposed cancer patients. These data urge for increased vigilance for haematological malignancy patients as a part of long COVID follow-up.
Risk factors for severe PCR-positive SARS-CoV-2 infection in hospitalized children: a multicenter cohort study

Importance: Children are less likely than adults to have severe outcomes from SARS-CoV-2 infection and the corresponding risk factors are not well established. Objective: To identify risk factors for severe disease in symptomatic children hospitalized for PCR-positive SARS-CoV-2 infection. Design: Cohort study, enrollment from February 1, 2020 until May 31, 2021 Setting 15 children's hospitals in Canada, Iran, and Costa Rica Participants: Patients <18 years of age hospitalized with symptomatic SARS-CoV-2 infection, including PCR-positive multisystem inflammatory syndrome in children (MIS-C) Exposures: Variables assessed for their association with disease severity included patient demographics, presence of comorbidities, clinical manifestations, laboratory parameters and chest imaging findings. Main Outcomes and Measures: The primary outcome was severe disease defined as a WHO COVID-19 clinical progression scale of [≥]6, i.e., requirement of non-invasive ventilation, high flow nasal cannula, mechanical ventilation, vasopressors, or death. Multivariable logistic regression was used to evaluate factors associated with severe disease. Results: We identified 403 hospitalizations. Median age was 3.78 years (IQR 0.53-10.77). At least one comorbidity was present in 46.4% (187/403) and multiple comorbidities in 18.6% (75/403). Severe disease occurred in 33.8% (102/403). In multivariable analyses, presence of multiple comorbidities (adjusted odds ratio 2.24, 95% confidence interval 1.04-4.81), obesity (2.87, 1.19-6.93), neurological disorder (3.22, 1.37-7.56), anemia, and/or hemoglobinopathy (5.88, 1.30-26.46), shortness of breath (4.37, 2.08-9.16), bacterial and/or viral coinfections (2.26, 1.08-4.73), chest imaging compatible with COVID-19 (2.99, 1.51-5.92), neutrophilia (2.60, 1.35-5.02), and MIS-C diagnosis (3.86, 1.56-9.51) were independent risk factors for severity. Comorbidities, especially obesity (40.9% vs 3.9%, p<0.001), were more frequently present in adolescents [≥]12 years of age. Neurological disorder (3.16, 1.19-8.43) in children <12 years of age and obesity (3.21, 1.15-8.93) in adolescents were the specific comorbidities associated with disease severity in age-stratified adjusted analyses. Sensitivity analyses excluding the 81 cases with MIS-C did not substantially change the identified risk factors. Conclusions and Relevance: Pediatric risk factors for severe SARS-CoV-2 infection vary according to age and can potentially guide vaccination programs and treatment approaches in children.
Photoelectron emission characteristics of iron surfaces scratched in different environments: Dependence on photon energy irradiation methods

The characteristics of photoelectron emission (PE) and X‐ray photoelectron spectroscopy of iron surfaces scratched in different environments were investigated. The scratching environments were air, water, and organic liquids. The PE quantum yields (emitted electrons/photon), YFD and Ys, were obtained in 2 ways of irradiation of the surface with photon energies: during the light wavelength scan in the range of 300 to 200 nm at 25°C, 200°C, and 339°C and during temperature increase and subsequent decrease scans in the range of 25°C to 339°C under 210‐nm‐light irradiation, respectively. The equation YFD = αA (Ep − ϕ)2/2kB2, where αA is called the electron photoemission probability, A is identical to the Richardson constant, Ep is the incident photon energy, and ϕ is the photothreshold, was applied to the wavelength scan data to obtain αA and ϕ. Additionally, the emission intensity at 210‐nm wavelength (I210) and the total number of emitted electrons (NT) were obtained during the wavelength scan. Arrhenius activation energies obtained for αA, I210, and NT were ΔEαA = 0.113 to 0.074 eV, ΔE210 = 0.085 to 0.054 eV, and ΔENT = 0.088 to 0.053 eV, respectively. The ΔE210 and ΔENT increased with ΔEαA. The dependence of ΔE210, ΔENT, and ΔEαA on the environments was completely different from that of ΔEaUp1 values for the Ys during the temperature increase scan (Up1 scan), which were previously reported to be in the 0.212‐ to 0.035‐eV range. The PE characteristics were explained from the dependence on the O1s component ratio of ZO = O2−/(OH− + O2−) and the acid‐base interaction between the surface Fe −OH groups and the molecules of the liquid environments.
The Impact of Juvenile Conviction on Human Capital and Labor Market Outcomes

This article documents the long-term relationship among juvenile conviction, occupation choices, employment, wages, and recidivism. Using data from NLSY97, we document that youths who are convicted at or before age 17 have lower full-time employment rate and lower wage growth rate even after 10 years into the labor market. Merging the NSLY97 with occupational characteristics data from O*NET, we show that youths with a juvenile conviction are less likely to be employed in occupations that have a higher on-the-job (OTJ) training requirement and these high OTJ occupations have higher wage and wage growth. The accumulated occupation-specific work experience, general experience, and education are important to explain the gaps in wage and recidivism between youths with and without a juvenile conviction. Our results highlight the important role of occupation choices as a human capital investment vehicle through which juvenile crimes have a long-term impact on wages and recidivism.