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result(s) for
"Yang, Ting"
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الكبش الشجاع
by
Wang, Xiu Ting مؤلف
,
ناصر، ياسمين مترجم
,
Yang, Xiaojun مراجع
in
القصص الصينية للأطفال قرن 21
,
الخراف قصص الناشئة
2000
هذا الكتاب مخصص للأطفال يستهدف الطفولة المبكرة وتعمل علي اسثمار الطفل في بناء المهارات المختلفة المرتبطة بالخيال والأبتكار وقوة الشخصية والبحث عن حلول إبداعية ويستمد الطفل الكثير من العلم والمعرفة والمعلومات من المنهج السلوكي التربوي رائع يعلم الطفل كيف يستخلص من مشكلاته وكيف يبني شخصيته بشكل مميز ويعطي المربي حلولا لحل مشكلات أبنه تعنيه عن تجاوز الأزمة وإنهائها.
Association between perceived environmental pollution and health among urban and rural residents-a Chinese national study
2020
Background
China’s economic boom has led to severe environmental pollution, which has created significant health risks for residents. Although current studies have found urban residents can sense the harmful effects of environmental pollution in China, few studies have talked about their rural counterparts’ attitudes towards the health impacts of environmental pollution. Similarly, little research has talked about the inequality of environmental awareness between urban and rural residents.
Methods
Descriptive and analytical statistics were used for the data analyses based on a national survey, namely, T
he 3rd Survey on the Status of Chinese Women in 2010
, which was jointly conducted by the All China Women’s Federation and the China Statistical Bureau in 2010. A total of 24741observations were selected.
Results
Among urban residents, 67.21% reported that their total health was good, which was 1.35% lower than the reported rate of their rural counterparts; 25.88% of urban residents reported that their total health was general, which was nearly 3% higher than the reported rate of their rural counterparts; 6.91% of urban residents reported that their total health was poor, which was 1.63% lower than the reported rate of their rural counterparts. The study also found that the rates of urban residents who perceived air pollution (35.67%), water pollution (17.96%), garbage pollution (25.05%), and noise pollution (32.05%) were higher than those of their rural counterparts. Perceived air pollution, and perceived noise pollution both had a negative effect on urban residents’ good health (B = − 0.14,
p
< 0.05; B = -0.23,
p
< 0.001). Perceived garbage pollution had a positive effect on urban residents’ poor health (B = 0.33,
p
< 0.01). Perceived water pollution had no significant effect on urban residents’ health. The four types of perceived environmental pollution all had insignificant effects on rural residents’ health.
Conclusions
Rural residents lack awareness of the impacts of environmental pollution on health, which may create risks and vulnerability within the rural environment and the livelihood of these residents. Great attention should be paid to the impacts of environmental pollution on the health of not only urban residents but also rural residents, which will highly improve the support of green development among the public in China.
Journal Article
الثعلب الصغير
by
Wang, Xiu Ting مؤلف
,
Wang, Xiu Ting 小狐狸
,
Jeon, Yang Shao مراجع
in
القصص الصينية للأطفال قرن 21
,
الثعالب قصص الناشئة
2018
\"الثعلب الصغير\" قصة للأديب الأكثر شهرة فى الصين شيوى تينغ وانغ وفى هذه القصة سيتعرف الأطفال على قصة \"جيانغ تشيو\" الثعلب الصغير الذي يتنقل كجمرة من اللهب وسط السهول الخضراء تخلى عنه أبواه عندما كان صغيرا وعلى الرغم من أنه كان وحيدا منبوذا جائعا ومحاطا بالمخاطر طوال الوقت لكنه بقى صامدا قويا وكلما قابلت عائلته أزمة ما لا يتردد أبدا فى مساعدته.
Klotho overexpression improves amyloid‐β clearance and cognition in the APP/PS1 mouse model of Alzheimer's disease
by
Du, Jun‐Rong
,
Zhao, Yue
,
Kuang, Xi
in
Advertising executives
,
Alzheimer's disease
,
Amyloid precursor protein
2020
Alzheimer's disease (AD) is the most prevalent type of dementia, characterized by the presence of amyloid‐β (Aβ) plaques. We previously reported that Klotho lowered Aβ levels in the brain and protected against cognitive deficits in amyloid precursor protein/presenilin 1(APP/PS1) mice. However, the underlying mechanism remains unclear. In this study, we induced intracerebral Klotho overexpression in 13‐month‐old APP/PS1 mice by injecting lentivirus that carried full‐length mouse Klotho cDNA in the lateral ventricle of the brain. We examined the effects of Klotho overexpression on cognition, Aβ burden, Aβ‐related neuropathology, microglia transformation, and Aβ transport systems in vivo. Additionally, we investigated the effects of Klotho on Aβ transport at the blood–cerebrospinal fluid barrier by knocking down Klotho in primary human choroid plexus epithelial cells (HCPEpiCs). The upregulation of Klotho levels in the brain and serum significantly ameliorated Aβ burden, neuronal and synaptic loss and cognitive deficits in aged APP/PS1 mice. Klotho treatment significantly inhibited NACHT, LRR, and PYD domain‐containing protein 3 (NLRP3) and the subsequent transformation of microglia to the M2 type that may enhance microglia‐mediated Aβ clearance. Meanwhile, Klotho overexpression also regulated Aβ transporter expression, which may promote Aβ transporter‐mediated Aβ clearance. Moreover, the ability of HCPEpiCs to transport Aβ in vitro was also significantly impaired by Klotho knockdown. Given the neuroprotective effect of Klotho overexpression, the present findings suggest that Klotho should be further investigated as a potential therapeutic target for AD. Klotho, as an anti‐aging gene, has been studied in the field of AD in recent years. Our data showed that Klotho overexpression inhibited NLRP3 inflammasome activation and promoted Aβ clearance through an increase in M2 type microglia and the regulation of Aβ transporters in APP/PS1 mice, which effectively relieved neuroinflammation and Aβ burden and ameliorated AD‐like phenotypes.
Journal Article
Resummation of boson-jet correlation at hadron colliders
by
Wu, Bin
,
Chien, Yang-Ting
,
Shao, Ding Yu
in
Accuracy
,
Classical and Quantum Gravitation
,
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
2019
A
bstract
We perform a precise calculation of the transverse momentum (
q
→
T
) distribution of the boson+jet system in boson production events. The boson can be either a photon,
W
,
Z
or Higgs boson with mass
m
V
, and
q
→
T
is the sum of the transverse momenta of the boson and the leading jet with magnitude
q
T
=
|
q
→
T
|
. Using renormalization group techniques and soft-collinear effective theory, we resum logarithms log (
Q/q
T
) and log
R
at next-to- leading logarithmic accuracy including the non-global logarithms, where
Q
and
R
are respectively the hard scattering energy and the radius of the jet. Specifically, we investigate two scenarios of
p
T
J
≲
m
V
or
p
T
J
≳
m
V
in
Z
+jet events, and we examine the
q
T
distributions with different jet radii and study the effect of non-global logarithms. In the end we compare our theoretical calculations with Monte Carlo simulations and data from the LHC.
Journal Article
Towards the understanding of jet shapes and cross sections in heavy ion collisions using soft-collinear effective theory
by
Vitev, Ivan
,
Chien, Yang-Ting
in
Atomic collisions
,
Classical and Quantum Gravitation
,
Collisions
2016
A
bstract
We calculate the jet shape and the jet cross section in heavy ion collisions using soft-collinear effective theory (SCET) and its extension with Glauber gluon interactions in the medium (SCET
G
). We use the previously developed framework to systematically resum the jet shape at next-to-leading logarithmic accuracy, and we consistently include the medium modification by incorporating the leading order medium-induced splitting functions. The calculation provides, for the first time, a quantitative understanding of the jet shape modification measurement in lead-lead collisions at
s
N
N
=
2.76
TeV at the LHC. The inclusive jet suppression is also calculated within the same framework beyond the traditional concept of parton energy loss, and the dependence on the centrality, the jet radius and the jet kinematics is examined. In the end we present predictions for the anticipated jet shape and cross section measurements in lead-lead collisions at
s
N
N
≈
5.1
TeV at the LHC.
Journal Article
Gold Nanoparticles-Based Colorimetric Immunoassay of Carcinoembryonic Antigen with Metal–Organic Framework to Load Quinones for Catalytic Oxidation of Cysteine
2024
This work reported gold nanoparticles (AuNPs)-based colorimetric immunoassay with the Cu-based metal–organic framework (MOF) to load pyrroloquinoline quinone (PQQ) for the catalytic oxidation of cysteine. In this method, both Cu2+ and PQQ in the MOF could promote the oxidation of inducer cysteine by redox cycling, thus limiting the cysteine-induced aggregation of AuNPs and achieving dual signal amplification. Specifically, the recombinant carcinoembryonic antigen (CEA) targets were anchored on the MOF through the metal coordination interactions between the hexahistidine (His6) tag in CEA and the unsaturated Cu2+ sites in MOF. The CEA/PQQ-loaded MOF could be captured by the antibody-coated ELISA plate to catalyze the oxidation of cysteine. However, once the target CEA in the samples bound to the antibody immobilized on the plate surface, the attachment of CEA/PQQ-loaded MOF would be limited. Cysteine remaining in the solution would trigger the aggregation of AuNPs and cause a color change from red to blue. The target concentration was positively related to the aggregation and color change of AuNPs. The signal-on competitive plasmonic immunoassay exhibited a low detection limit with a linear range of 0.01–1 ng/mL. Note that most of the proteins in commercial ELISA kits are recombinant with a His6 tag in the N- or C-terminal, so the work could provide a sensitive plasmonic platform for the detection of biomarkers.
Journal Article
A novel hybrid model for species distribution prediction using neural networks and Grey Wolf Optimizer algorithm
2024
Neural networks are frequently employed to model species distribution through backpropagation methods, known as backpropagation neural networks (BPNN). However, the complex structure of BPNN introduces parameter settings challenges, such as the determination of connection weights, which can affect the accuracy of model simulation. In this paper, we integrated the Grey Wolf Optimizer (GWO) algorithm, renowned for its excellent global search capacity and rapid convergence, to enhance the performance of BPNN. Then we obtained a novel hybrid algorithm, the Grey Wolf Optimizer algorithm optimized backpropagation neural networks algorithm (GNNA), designed for predicting species’ potential distribution. We also compared the GNNA with four prevalent species distribution models (SDMs), namely the generalized boosting model (GBM), generalized linear model (GLM), maximum entropy (MaxEnt), and random forest (RF). These models were evaluated using three evaluation metrics: the area under the receiver operating characteristic curve, Cohen’s kappa, and the true skill statistic, across 23 varied species. Additionally, we examined the predictive accuracy concerning spatial distribution. The results showed that the predictive performance of GNNA was significantly improved compared to BPNN, was significantly better than that of GLM and GBM, and was even comparable to that of MaxEnt and RF in predicting species distributions with small sample sizes. Furthermore, the GNNA demonstrates exceptional powers in forecasting the potential non-native distribution of invasive plant species.
Journal Article
Shift of bacterial communities in heavy metal-contaminated agricultural land during a remediation process
by
Yang, Ting-I
,
Wang, Wei-Kuang
,
Chen, Jiann-Long
in
Agricultural land
,
Agricultural pollution
,
Agriculture
2021
Anthropogenic activities accompanied by heavy metal waste threaten the environment. Heavy metal pollution alters the soil microbial community composition, and the microorganisms that adapt to this stress increase in abundance. The remediation process of contaminated soil not only reduces the concentration of heavy metals but also alters the bacterial communities. High-throughput 16S rDNA sequencing techniques were applied to understand the changes in soil microbial communities. Using the remediation approach of the soil mixing, the concentrations of heavy metals in the contaminated areas were diluted and the soil environment was changed. The change of soil environment as a disturbance contributed to the alteration of microbial diversity of the remediated areas. The pH and heavy metals (Cr, Cu, Ni, and Zn) were the most influential factors driving the changes in community structure. The bacterial community structure was significantly different among sample areas. The decrease of heavy metals in soil may be the important factors that changed the microbial composition. This study provides the better understanding of the changes in composition of microbial communities affected by the remediation process in heavy metal-contaminated soil.
Journal Article