648 research outputs found
Penerapan Pendekatan Pengajaran Terbalik (Reciprocal Teaching) Untuk Meningkatkan Kemandirian Belajar Biologi Siswa Kelas Vii-g SMP N 5 Karanganyar Tahun Pelajaran 2010/ 2011
– The objective of this study is to improve student independence in learning biology by implementing Inverted Teaching Approach (Reciprocal Teaching) on Environmental Management material. This research is a classroom action research. This research was conducted in two cycles. Each cycle consisted of planning, implementation of the action,observation, and reflection. The subjects of the study were VII-G class students of SMP Negeri 5 Karanganyar in the academic year of 2010/2011. The number of the students was 32. The technique and instrumen of collectiing data were questionnaire, observation, and interviews. The technique of analyzing data was descriptive analysis techniques. Triangulation technique was used in data validation. The results proved that by implementing Inverted Teaching Approach (Reciprocal Teaching) students\u27 independence in learning biology enhanced. It is based on the results of questionnaires, observations and interviews. The questionnaire of students\u27 learning independence showed that the mean percentage of students\u27 achievement in each indicator in pre-cycle, cycle I, and cycle II was 67.97%, 72.55%, and 77.58% respectively. The observation of students\u27 learning independence showed that the mean percentage of students\u27 achievement in each indicator in pre-cycle, cycle I, and cycle II was 39.68%, 67.5%, and 80.62% respectively. It can be concluded that the implementation of Inverted Teaching Approach (Reciprocal Teaching) can enhance students learning independence
Photometric Variability in the CSTAR Field: Results From the 2008 Data Set
The Chinese Small Telescope ARray (CSTAR) is the first telescope facility
built at Dome A, Antarctica. During the 2008 observing season, the installation
provided long-baseline and high-cadence photometric observations in the i-band
for 18,145 targets within 20 deg2 CSTAR field around the South Celestial Pole
for the purpose of monitoring the astronomical observing quality of Dome A and
detecting various types of photometric variability. Using sensitive and robust
detection methods, we discover 274 potential variables from this data set, 83
of which are new discoveries. We characterize most of them, providing the
periods, amplitudes and classes of variability. The catalog of all these
variables is presented along with the discussion of their statistical
properties.Comment: 38 pages, 11 figures, 4 tables; Accepted for publication in ApJ
Phloretin Attenuates Listeria monocytogenes Virulence Both In vitro and In vivo by Simultaneously Targeting Listeriolysin O and Sortase A
The critical roles of sortase A (SrtA) and listeriolysin O (LLO) in Listeria monocytogenes pathogenicity render these two virulence factors as ideal targets for the development of anti-virulence agents against L. monocytogenes infection. Additionally, the structures of SrtA and LLO are highly conserved among the members of sortase enzyme family and cholesterol dependent toxin family. Here, phloretin, a natural polyphenolic compound derived from apples and pears that has little anti-L. monocytogenes activity, was identified to simultaneously inhibit LLO expression and neutralize SrtA catalytic activity. Phloretin neutralized SrtA activity by causing a conformational change in the protein's active pocket, which prevented engagement with its substrate. Treatment with phloretin simultaneously reduced L. monocytogenes invasion into host cells and blocked the escape of vacuole-entrapped L. monocytogenes into cytoplasm. Further, L. monocytogenes-infected mice that received phloretin showed lower mortality, decreased bacterial burden and reduced pathological injury. Our results demonstrate that phloretin is a promising anti-infective therapeutic for infections caused by L. monocytogenes due to its simultaneous targeting of SrtA and LLO, which may result in fewer side effects than those caused by other antibiotics
The First Data Release of the Beijing-Arizona Sky Survey
The Beijing-Arizona Sky Survey (BASS) is a new wide-field legacy imaging
survey in the northern Galactic cap using the 2.3m Bok telescope. The survey
will cover about 5400 deg in the and bands, and the expected
5 depths (corrected for the Galactic extinction) in the two bands are
24.0 and 23.4 mag, respectively. BASS started observations in January 2015, and
has completed about 41% of the whole area as of July 2016. The first data
release contains both calibrated images and photometric catalogs obtained in
2015 and 2016. The depths of single-epoch images in the two bands are 23.4 and
22.9 mag, and the full depths of three epochs are about 24.1 and 23.5 mag,
respectively.Comment: 16 pages, published by A
Measurements of the Hubble constant from combinations of supernovae and radio quasars
In this letter, we propose an improved cosmological model independent method
of determining the value of the Hubble constant . The method uses
unanchored luminosity distances from SN Ia Pantheon data combined
with angular diameter distances from a sample of intermediate
luminosity radio quasars calibrated as standard rulers. The distance duality
relation between and , which is robust and independent of any
cosmological model, allows to disentangle from such combination. However,
the number of redshift matched quasars and SN Ia pairs is small (37
data-points). Hence, we take an advantage from the Artificial Neural Network
(ANN) method to recover the relation from a network trained on full
120 radio quasar sample. In this case, the result is unambiguously consistent
with values of obtained from local probes by SH0ES and H0LiCOW
collaborations. Three statistical summary measures: weighted mean
, median
and MCMC simulated posterior
distribution are fully
consistent with each other and the precision reached level. This is
encouraging for the future applications of our method. Because individual
measurements of are related to different redshifts spanning the range
, we take advantage of this fact to check if there is any
noticeable trend in measurements with redshift of objects used for this
purpose. However, our result is that the data we used strongly support the lack
of such systematic effects.Comment: 20 pages, 5 figures, accepted for publication in Physics Letters
An eight-neuron network for quadruped locomotion with hip-knee joint control
The gait generator, which is capable of producing rhythmic signals for
coordinating multiple joints, is an essential component in the quadruped robot
locomotion control framework. The biological counterpart of the gait generator
is the Central Pattern Generator (abbreviated as CPG), a small neural network
consisting of interacting neurons. Inspired by this architecture, researchers
have designed artificial neural networks composed of simulated neurons or
oscillator equations. Despite the widespread application of these designed CPGs
in various robot locomotion controls, some issues remain unaddressed,
including: (1) Simplistic network designs often overlook the symmetry between
signal and network structure, resulting in fewer gait patterns than those found
in nature. (2) Due to minimal architectural consideration, quadruped control
CPGs typically consist of only four neurons, which restricts the network's
direct control to leg phases rather than joint coordination. (3) Gait changes
are achieved by varying the neuron couplings or the assignment between neurons
and legs, rather than through external stimulation. We apply symmetry theory to
design an eight-neuron network, composed of Stein neuronal models, capable of
achieving five gaits and coordinated control of the hip-knee joints. We
validate the signal stability of this network as a gait generator through
numerical simulations, which reveal various results and patterns encountered
during gait transitions using neuronal stimulation. Based on these findings, we
have developed several successful gait transition strategies through neuronal
stimulations. Using a commercial quadruped robot model, we demonstrate the
usability and feasibility of this network by implementing motion control and
gait transitions
Trend of myopia through different interventions from 2010 to 2050: Findings from Eastern Chinese student surveillance study
PurposeFirst, to investigate the utilization rate and effect of proven myopic interventions. Second, to predict the prevalence of myopia and high myopia, as well as Years Lived with Disability (YLD) caused by an uncorrected refractive error in children and teens in Eastern China from 2010 to 2050 under different interventions.Methods(1) The surveillance of common diseases among children and adolescents in Jiangsu Province from 2010 to 2021 provides the database for myopia screening and intervention utilization surveys. (2) The National Bureau of Statistics and the Global Burden of Disease Study 2016 (GBD2016) are the foundation for the estimated myopes and YLD. (3) A systematic review provides the strong or weak impact of intervention in the prediction model. (4) The trend of screening myopia from 2010 to 2050 under various treatments is predicted using a GM (1,1) model.ResultsBy the year 2050, myopia is expected to affect 8,568,305 (7–12 years old) and 15,766,863 (13–18 years old) children and adolescents, respectively (95% CI: 8,398,977–8,737,633). The utilization prevalence of myopia-proven interventions for myopic children included outdoor activities, orthokeratology lenses, atropine treatment, contact lenses, frame glasses, and eye exercises, with respective rates of 31.9–33.1, 2.1–2.3, 6.0–7.5, 2.2–2.7, 60.4–62.2, and 64.7–72.5%. All interventions have substantial effects on myopia after parental myopia and behavior pattern adjustment, including physical activity, near work, dietary pattern, and sleep. Under strong intervention, the estimated reduced myopia prevalence by the year 2050 is 1,259,086 (95% CI: 1,089,758–1,428,414) for children aged 7–12, and 584,785 (95% CI: 562,748–606,823) for children aged 13–18, respectively.ConclusionAmong myopic Chinese children and adolescents, the use rates and effects of proven myopia interventions vary. Under the present intervention strategy, the prevalence of myopia and high myopia will increase from 2010 to 2050. The overall number of myopic people can be greatly decreased by implementing timely, steady, comprehensive interventions
DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation
Generating city-scale lane-level maps faces significant challenges due to the
intricate urban environments, such as blurred or absent lane markings.
Additionally, a standard lane-level map requires a comprehensive organization
of lane groupings, encompassing lane direction, style, boundary, and topology,
yet has not been thoroughly examined in prior research. These obstacles result
in labor-intensive human annotation and high maintenance costs. This paper
overcomes these limitations and presents an industrial-grade solution named
DuMapNet that outputs standardized, vectorized map elements and their topology
in an end-to-end paradigm. To this end, we propose a group-wise lane prediction
(GLP) system that outputs vectorized results of lane groups by meticulously
tailoring a transformer-based network. Meanwhile, to enhance generalization in
challenging scenarios, such as road wear and occlusions, as well as to improve
global consistency, a contextual prompts encoder (CPE) module is proposed,
which leverages the predicted results of spatial neighborhoods as contextual
information. Extensive experiments conducted on large-scale real-world datasets
demonstrate the superiority and effectiveness of DuMapNet. Additionally,
DuMap-Net has already been deployed in production at Baidu Maps since June
2023, supporting lane-level map generation tasks for over 360 cities while
bringing a 95% reduction in costs. This demonstrates that DuMapNet serves as a
practical and cost-effective industrial solution for city-scale lane-level map
generation.Comment: Accepted by KDD 2024, camera-ready versio
Fever duration, peak temperature and associated symptoms in Chinese adults with SARS-CoV-2 infection: a cross-sectional study
IntroductionAlthough the COVID-19 pandemic has passed, we still lack a comprehensive understanding of its fever-related characteristics. This study aims to elucidate the unique fever characteristics exhibited by Chinese SARS-CoV-2 patients, providing insights into the fever patterns of COVID-19 and enhancing our understanding of fever caused by viral infections.MethodsA descriptive study was conducted using an online questionnaire administered through a web-based survey platform from December 19, 2022, to January 5, 2023. Data pertaining to the demographic features and fever dynamics of SARS-CoV-2-infected individuals were collected and analyzed.ResultsThe study cohort consisted of 555 adult individuals presenting with fever, comprising 157 males (28.3%) and 398 females (71.7%), with a mean age of 39.8 ± 12.7 years. The average duration of fever was 2.5 ± 1.6 days, with a peak temperature recorded at 38.7 ± 0.7 °C. Notably, a negative correlation was discerned between peak fever temperature and age, while in female participants, fever duration displayed a positive correlation with age. Patients with underlying comorbidities, particularly those with lupus erythematosus, exhibited lower peak temperatures. Predominant symptoms reported during febrile episodes encompassed headache, cough, general malaise, and myalgia, while post-fever symptoms predominantly comprised cough, sputum production, nasal obstruction, and sore throat.ConclusionAge may be an important factor influencing both the duration of fever and peak body temperature in SARS-CoV-2 infected individuals, while gender-specific variations appear to be limited. COVID-19 patients demonstrated noticeable heterogeneity in symptom manifestations both during the febrile phase and after fever resolution
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