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1 s of nanoparticles contained in each puff of smoke.
2  (<1 day of aging) to old (>3 days of aging) smoke.
3  associated with minimal exposure to tobacco smoke.
4 is increase is further elevated by cigarette smoking.
5 e a biomarker for fetal exposure to maternal smoking.
6 , particularly in combination with cigarette smoking.
7 5) after adjustment for gender, age, BMI and smoking.
8 eages, and define cell-specific responses to smoking.
9 might influence lung function via effects on smoking.
10 ts (45.2%) reported a pre-surgery history of smoking.
11 lar to and disparate from those of cigarette smoking.
12 diseases, especially physical inactivity and smoking.
13                               Adults who had smoked 1 cigarette or more within 30 days, spoke English
14 t in patients with light exposure to tobacco smoke(1-3).
15  risk factors (odds ratio(PRS+family history+smoking), 1.24 [95% CI, 1.14-1.35]; P(PRS)=1.27x10(-6)).
16 e obese, 8.7% had depression, 19.5% reported smoking, 16.1% reported drug use, and 10.9% reported har
17      Female sex (OR 2.3, 95% CI 1.5 to 3.7), smoking (2.1, 1.2 to 3.6) and hypertension (1.6, 1.0 to
18                      Alcohol consumption and smoking, 2 major risk factors for cardiovascular disease
19 oconus was associated with regular cigarette smoking (38.5% vs. 14.6%; P = 0.04), but showed no assoc
20  microbiome(4), by lifestyle choices such as smoking(5), or by diet(6).
21 ple with addictions such as alcohol abuse or smoking(6,7).
22 io, 2.96; 95% CI, 2.00 to 4.40), and current smoking (9.4%, vs. 5.6% among former smokers or nonsmoke
23                                     However, smoking addiction assessed by the Fagerstrom test for ni
24 ing during pregnancy, and some start to quit smoking after being pregnant, although existing guidelin
25 sk and PM in smoke decrease as a function of smoke age by up to 72% from fresh (<1 day of aging) to o
26  2.757 [1.616-4.704], p < 0.001) and tobacco smoking (aHR = 2.150 [1.319-3.503], p < 0.01) were posit
27 ly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average
28  also examined DNA methylation predictors of smoking, alcohol, body mass index, serum proteins, and c
29  for age, race/ethnicity, education, income, smoking, alcohol, menopausal hormone therapy, and hyster
30                                       Former smoking alone is not associated with greater spirometry
31                                              Smoking also causes chronic obstructive pulmonary diseas
32 ung cancer and there is strong evidence that smoking also increases the risk of several other cancers
33      Here, we investigated whether cigarette smoke alters the ability of this clinically significant
34                     The relationship between smoking amount and the risk of overweight or obesity was
35        We also found that the combination of smoke and morphine inhibited the expression of IL-1alpha
36                                         Ever smoked and duration were associated with smaller total G
37 g on homocysteine levels, with self-reported smoking and a cotinine biomarker.
38  in support of a causal relationship between smoking and alcohol consumption and 19 site-specific can
39 d dementia, but research on the link between smoking and brain structure is nascent.
40 ould help to explain the association between smoking and diabetes risk.
41  to examine the association of the timing of smoking and doses of smoking before pregnancy and during
42  3 mortality clocks up to 5 years, driven by smoking and elevated levels of 6 age-associated proteins
43                                              Smoking and exposure to toxic metals are risk factors fo
44 h the responsiveness of ECFCs to FIR include smoking and gender.
45                   Finally, genetic risks for smoking and high blood pressure, the two main clinical r
46 sed risk of ADA development, whereas tobacco smoking and infections during the study were associated
47 rt the well-established relationship between smoking and lung cancer and suggest that smoking may als
48 after adjustment for deprivation, ethnicity, smoking and obesity: adjusted HR 2.59 (95% CI 1.74-3.84;
49 studies from Europe and Canada with detailed smoking and occupational histories were pooled.
50 ssociation between genetic predisposition to smoking and prostate cancer in the Prostate Cancer Assoc
51 nal silica exposure and the joint effects of smoking and silica exposure on lung cancer risks.Methods
52 ification by study areas, and adjustments of smoking and solid fuel use.
53 he relationship between in utero exposure to smoking and the heightened risks for the subsequent deve
54             No association was found between smoking and the number of vessel wall lesions.
55 ral economic methods of eliciting adolescent smoking and vaping norms.
56 hods of measuring injunctive and descriptive smoking and vaping norms: (1) incentivized experiments,
57 l body mass index, be physically active, not smoke, and avoid nonsteroidal anti-inflammatory drug use
58  live births, exposure to secondhand tobacco smoke, and ever pregnant or not currently pregnant.
59 ts, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persiste
60        Age, sex, dyslipidemia, hypertension, smoking, and family history of premature cardiovascular
61                             Obesity, tobacco smoking, and genetic predisposition increase the risk of
62 iations with sociodemographic, reproductive, smoking, and housing characteristics over a 40-y period.
63 s (depression, obesity, harmful alcohol use, smoking, and illicit drug use; n = 4,917).
64 ody mass index, alcohol consumption, tobacco smoking, and physical activity.
65 hat were significant for both Cd and current smoking (annotated to PRSS23, AHRR, F2RL3, RARA, and 2q3
66 diabetes (aOR 3.1; 95% CI: 1.7-5.8), current smoking (aOR 3.1; 95% CI: 2.2-4.4) and prolonged history
67 cohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL),
68                       Cigarette or marijuana smoking are infrequently criteria for exclusion, althoug
69 60-77% of adults (17-48% of smokers) viewing smoking as something of which others disapproved.
70 s) for lung cancer incidence by sex, tobacco smoking, asbestos exposure, presence of asbestosis, and
71 on of SARS-CoV2 through aerosolized surgical smoke associated with energy device use is not fully und
72 first investigated the causal effects of 474 smoking-associated CpGs on forced expiratory volume in 1
73                          Highly reproducible smoking-associated DNA methylation changes in whole bloo
74                                      Whether smoking-associated DNA methylation has a causal effect o
75 med to provide a comprehensive assessment of smoking-associated gene expression changes in healthy pa
76 We find that most of the highly reproducible smoking-associated hypomethylation signatures are more p
77                                              Smoking-associated LUADs showed correlation with other e
78                                              Smoking at time of implant placement emerged as a new ri
79                        Most of the women who smoke before pregnancy continue smoking during pregnancy
80 iation of the timing of smoking and doses of smoking before pregnancy and during the first or second
81 y recommend that women who smoke should quit smoking before pregnancy.
82 ted smoking history pre-surgery, and current smoking behavior annually.
83  independently replicated the association of smoking behavior with CAD (OR 1.24, 95% CI: 1.12-1.37, P
84 d by additional risk factors correlated with smoking behavior, which have not been investigated.
85 ith (self-reported and objectively measured) smoking behavior/intentions were inspected in another st
86  socioeconomic, and sex-based differences in smoking behaviors or lung cancer risk.
87                                              Smoking behaviors, including amount smoked, smoking cess
88  per standard deviation increase in lifetime smoking behaviour) and an independent causal effect of a
89 qually correlated with life expectancy, with smoking being significantly worse than others.
90 ng for age, sex, ethnicity, education level, smoking, BMI, and diabetes.
91                         We adjusted for age, smoking, body mass index, physical activity, alcohol con
92                         The rates of tobacco smoking by people living with HIV vastly exceed that of
93                         Exposure to wildfire smoke causes adverse health outcomes, suggesting the imp
94                                      Tobacco smoking causes lung cancer(1-3), a process that is drive
95 n of substrates for the design of innovative smoking cessation aids.
96 cant benefits of medication on likelihood of smoking cessation in 2 trials of bupropion at 26 weeks (
97 sk population and to determine the effect of smoking cessation in this genotype.Methods: We prospecti
98                                         This smoking cessation intervention for expectant fathers tha
99                                              Smoking cessation is important in patients with tubercul
100  SZ registry data to determine the effect of smoking cessation on spirometry decline (n = 60) and pla
101 ful in promoting healthier behaviors such as smoking cessation or in aiding persons with a family his
102 een behavioral interventions and controls in smoking cessation when trials were restricted to smokers
103 terventions such as lowering blood pressure, smoking cessation, and lifestyle optimisation are common
104  Smoking behaviors, including amount smoked, smoking cessation, and tobacco-related diseases, are alt
105 group received a leaflet with information on smoking cessation.
106 Rs provide a promising novel drug target for smoking cessation.
107                   Most participants reported smoking cigarettes; few smoked only cigars.
108 otine kinetics were compared with those from smoking combustible cigarettes (C-cigs).
109 ting the importance of accurately estimating smoke concentrations.
110 elial morphology, including IL-13, cigarette smoke condensate, and retinoic acid deficiency, at conce
111 perception of AM fungi, and also detects the smoke constituent karrikin.
112 s of e-cigarette users who successfully quit smoking continued to use e-cigarettes.
113 al cancer (LC) patients who meet the age and smoking criteria of the U.S. Preventive Services Task Fo
114 ) mice following acute exposure to cigarette smoke (CS).
115                                    Cigarette smoking (CS) can exacerbate the incidence and severity o
116 ociation study of urine Cd and self-reported smoking (current and former vs. never, and cumulative sm
117            It is widely known that cigarette smoke damages host defenses and increases susceptibility
118 of deaths among smokers are avoidable at non-smoking death rates, and former smokers have about only
119 nd chronic cancer HAPs health risk and PM in smoke decrease as a function of smoke age by up to 72% f
120  and vascular risk factors (body mass index, smoking, diabetes mellitus and total cholesterol).
121                 ECFCs from CAD patients that smoke did not respond to FIR in most cases.
122 al regression models adjusted for age, race, smoking, diet, alcohol, physical activity, menopausal ho
123 d risk of colorectal cancer due to cigarette smoking differed by anatomical subsite or sex.
124 current and former vs. never, and cumulative smoking dose) with blood DNAm in 790,026 CpGs (methylati
125  whose mother had a lower education level or smoked during pregnancy.
126 re asthma if both mother and grandmother had smoked during their pregnancies.
127 hermore, we studied interactions of PRS with smoking during pregnancy and childhood life events in re
128 al weight gain, diet, physical activity, and smoking during pregnancy to create a lifestyle score ran
129 he women who smoke before pregnancy continue smoking during pregnancy, and some start to quit smoking
130 entury hazards reveal that smokers who start smoking early in adult life and do not quit lose a decad
131 ined baseline data on body mass index (BMI), smoking, education, and previous disorders.
132 king EWAS results in blood, to identify DNAm smoking effects that are unique (tissue-specific) vs. sh
133 e extended our NAc findings, using published smoking EWAS results in blood, to identify DNAm smoking
134                                              Smoking expectant fathers who registered with their preg
135                                      Tobacco smoke exposure also reduces vaccine efficacy.
136 hand smoke for 8 wk, followed by a period of smoke exposure cessation, and the mice were immunized wi
137                                      Tobacco smoke exposure is associated with multiple diseases incl
138 at avoiding childhood/adolescence secondhand smoke exposure promotes adulthood cognitive function.
139 notypes in subjects with significant tobacco smoke exposure using deep gene resequencing and alpha-1
140 ine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated
141 reby generate a score for in utero cigarette smoke exposure.
142 against emphysema development independent of smoke exposure.
143                                              Smoking exposure during the prenatal period was directly
144 risk factors (primary and secondhand tobacco smoke exposures, occupational and environmental pollutan
145         We studied the association of Cd and smoking exposures with human blood DNA methylation (DNAm
146                      We found that cigarette smoke extract (CSE) exposure enhances resistance to huma
147 table intake ameliorating effects of alcohol-smoking-fatty food.
148 cresol, eugenol, isoeugenol and guaiacol) in smoked food samples.
149                We exposed mice to secondhand smoke for 8 wk, followed by a period of smoke exposure c
150 men and > 30 g/day for men was combined with smoking habit (OR = 7.30 [95% CI: 6.1-8.73]).
151  position, BMI, physical activity level, and smoking habit, as well as when participants without card
152 aimed to investigate the association between smoking habits (focusing on the age when smokers started
153 ise, walking/cycling, height, energy intake, smoking habits, baseline Charlson's weighted comorbidity
154 , female sex, use of oral contraceptives and smoking habits.
155        The average age at which people start smoking has been decreasing in many countries, but insuf
156                                              Smoking has been widely studied as a susceptibility fact
157 is was associated with antenatal exposure to smoking, higher maternal education levels, and wheezing
158            Amongst women with >=20 pack year smoking history (n = 19,286), 2148 (11.1%) had premature
159                            Disease stage and smoking history are often used in current clinical trial
160 edian body mass index 47 kg/m) self-reported smoking history pre-surgery, and current smoking behavio
161 orating tumor staging, treatment status, and smoking history revealed that treatment status had the m
162 med by statistically adjusting atopy status, smoking history, and disease duration.
163 ignificant changes about lung function test, smoking history, sex and the levels of D-dimer among two
164  for stage, human papillomavirus status, and smoking history.
165 f colonoscopy, age, sex, race/ethnicity, and smoking history.
166  sex (HR 2.52, 95% CI 1.04-6.10), history of smoking (HR 3.42, 95% CI 1.40-8.45), and thymic abnormal
167 ,548) at Y7 were associated with black race, smoking, hypertension, and higher body mass index.
168 iable risk factors assessed at baseline were smoking, hypertension, diabetes, obesity and physical in
169  factors, diabetes, underlying lung disease, smoking, immunosuppressed condition, and baseline diseas
170 xists on the adult hazards of having started smoking in childhood and, especially, in early childhood
171 t epigenome-wide association study (EWAS) of smoking in human postmortem brain, focusing on nucleus a
172 cting responses to nicotine in zebrafish and smoking in humans.
173 ody mass index z scores, maternal education, smoking in pregnancy, and prenatal particulate matter wi
174 echanisms of Networks and Norms Influence on Smoking in Schools (MECHANISMS) study baseline data, fro
175 red to nonsmoking during pregnancy, quitting smoking in the first trimester is associated with the sa
176 port a model whereby genetic determinants of smoking increase type 2 diabetes risk indirectly through
177 ng cancer screening with CT require detailed smoking information and miss many incident lung cancers.
178 d BhGLM were able to detect a rare haplotype-smoking interaction in this region.
179        Exposure of lung tissues to cigarette smoke is a major cause of human disease and death worldw
180                     We conclude that tobacco smoke is a major source of isoprene exposure in the US p
181                                    Cigarette smoke is the first complex odor whose in vivo receptor r
182                                              Smoking is a well-established cause of lung cancer and t
183                                    Cigarette smoking is associated with increased risk for myriad hea
184                                              Smoking is considered a risk factor for periodontitis ge
185            Interaction between rs8192575 and smoking is significantly replicated with two additional
186                                    Cigarette smoking is the leading cause of preventable morbidity an
187                  Nicotine addiction, through smoking, is the principal cause of preventable mortality
188  of alcohol consumption when controlling for smoking (IVW OR 2.1, 95% CI = 1.1, 3.8 per standard devi
189 ed at both time points for prenatal parental smoking, life events, and negative affect and substance
190 , a positive family history of dementia, non-smoking, low alcohol consumption, depression, daytime so
191 rijuana is becoming increasingly potent, and smoking marijuana carries many of the same cardiovascula
192 een smoking and lung cancer and suggest that smoking may also be a risk factor for cancer of the head
193 s support that treating VRF and cessation of smoking may be important in the management of MS.
194                                   Persistent smoking may cause adverse outcomes among patients with c
195                               In conclusion, smoking may cause suppression of appetite but smokers te
196                                     Maternal smoking may induce such long-term effects through persis
197    Other smoking phenotypes, such as current smoking, may be suitable for future Mendelian randomisat
198                              A total of five smoking measurements were investigated, including active
199 of HNC was 7.61% for a 60-year-old woman who smoked more than 20 cigarettes per day for over 20 years
200 nutrient intake, participants from Barcelona smoked more, were less educated, and had lower baseline
201                        Our results show that smoke, morphine, and the combination promotes the declin
202                           This regulation by smoking/nicotine will increase interindividual variation
203     In conclusion, perceived descriptive non-smoking norms are not held by the majority of adults in
204                               Injunctive non-smoking norms were more prevalent, with 60-77% of adults
205                    A genetic predisposition, smoking, obesity and hormonal factors are established ae
206 lation did not clearly mediate the effect of smoking on FEV(1), although DNA methylation at some site
207 ether DNA methylation mediates the effect of smoking on FEV(1).
208 etic variants interacting with pack-years of smoking on FEV(1)/FVC ratios in individuals with normal
209 e consider the possible effects of cigarette smoking on homocysteine levels, with self-reported smoki
210 t focused on explaining the ramifications of smoking on maternal and child health was effective and f
211  limited evidence for a meaningful effect of smoking on MS susceptibility as measured using summary s
212           We investigated effects of HIV and smoking on oral HPV risk.
213 evidence for an independent causal effect of smoking on oral/oropharyngeal cancer (IVW OR 2.6, 95% CI
214 articipants reported smoking cigarettes; few smoked only cigars.
215 nonsmoking mothers, maternal first trimester smoking only was not associated with adverse birth outco
216 trated that COPD at baseline, but not former smoking or AAT concentrations, predicted greater spirome
217 cer was identified for the variables of sex, smoking or study design.
218 er of teeth <=14 (OR = 1.78; P = 0.034), and smoking (OR = 2.19; P = 0.001).
219  associations were not modified by age, BMI, smoking, or red meat intake (All P(interaction) > 0.055)
220 raised blood glucose, raised blood pressure, smoking, overweight, and obesity) at the household, comm
221 x (P = 0.68), level of education (P = 0.26), smoking (P = 0.11), alcohol consumption (P = 0.52), hist
222 PAF 16.5% ELSA; 16.7% SIGa-Bage) and current smoking (PAF 4.9% for both cohorts) having the strongest
223 was carried out, adjusting for maternal age, smoking, parity, ethnicity, neonate sex, and predicted c
224 mized crossover design, nontreatment seeking smoking participants (N = 30) completed two imaging sess
225                        Tobacco and marijuana smoke particles are quantitatively similar in volatility
226  findings provide new insights into how wood smoke particulate matter and other transient receptor po
227 status, pack-years, years as a smoker, packs smoked per day, and hours as a passive smoker per week.
228 de association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Milli
229                                        Other smoking phenotypes, such as current smoking, may be suit
230 or emissions and the chemical environment of smoke plumes.
231                              Many adolescent smoking prevention programmes target social norms, typic
232 ized metabolism of inhaled drugs and tobacco smoke procarcinogens.
233 prevalence of elevated blood pressure, lower smoking rates, and lower prevalence of elevated choleste
234                       Moreover, increases in smoking-related Cd exposure were associated with differe
235 verall density, supporting a role for IMs in smoking-related disease.
236  increase the risk of tobacco dependence and smoking-related diseases in human smokers.SIGNIFICANCE S
237 istically significant contributions of Cd to smoking-related DNAm.
238 ents alive today will die prematurely from a smoking-related illness.
239  signalling in young and aged mice disrupted smoking-related inducible bronchus-associated lymphoid t
240    Decreased lung CYP2A expression may alter smoking-related lung cancer risk and tissue damage from
241                                    Cigarette smoking remains one of the leading public health threats
242 on, after adjusting for alcohol consumption, smoking retained its association with several CVD outcom
243  the extent that rapid brain uptake promotes smoking reward, E-cigs might maintain a degree of nicoti
244 e in PRS), independent of family history and smoking risk factors (odds ratio(PRS+family history+smok
245 9 trials, n = 2516; 80.7% vs 84.1% continued smoking; RR, 0.97 [95% CI, 0.93-1.01]).
246 ation) and maternity (maternal age, maternal smoking, sex-gestation-specific birth weight centile, ge
247 lines for pregnancy recommend that women who smoke should quit smoking before pregnancy.
248 for BMI, and xenobiotic stimuli response for smoking, showed >1.5 times larger associations with >95%
249                        Exposure to cigarette smoke significantly affected the patterns of cytosine me
250  cells; 3) ACE2 is upregulated in the SAE by smoking, significantly in men; 4) levels of miR-1246 exp
251 weight loss in late life, physical exercise, smoking, sleep, cerebrovascular disease, frailty, atrial
252          Smoking behaviors, including amount smoked, smoking cessation, and tobacco-related diseases,
253 mass and volume of the particles from either smoke source are comprised of semi-volatile compounds.
254                        We estimated sex- and smoking-specific incidence trends of pre-bronchodilator
255 rvals (CIs) of preterm birth associated with smoking status and the number of cigarettes consumed, ad
256 health outcomes were found between different smoking status groups, suggesting that smoking/vaping pr
257               We also examined the impact of smoking status on AGER (encodes RAGE) and TLR4 bronchial
258  compared to controls, independent of active smoking status or poor oral hygiene.
259                                              Smoking status was biochemically verified (exhaled air C
260                                              Smoking status was validated by cotinine assay.
261 h radiomic and clinical features (gender and smoking status) reached a diagnostic accuracy of 88.1% i
262 for age, race, WIHS site, education, income, smoking status, and baseline ART regimen.
263 egression models adjusted for age, sex, BMI, smoking status, and hypertension.
264 ons with tumor types and subtypes, patients' smoking status, and the response to immunotherapy.
265            After adjustment for age, gender, smoking status, hepatitis C and hepatitis B virus coinfe
266 urements were investigated, including active smoking status, pack-years, years as a smoker, packs smo
267 , family history of gastrointestinal cancer, smoking status, previous negatives and whether a GP had
268 aphics, year of consultation, comorbidities, smoking status, recent hospitalizations, recent accident
269 haracterized by differences in asthma onset, smoking status, residential locations, percentage of blo
270 x, body mass index, race, surgical approach, smoking status, Zubrod and American Society of Anesthesi
271 of pocket depth, gingival bleeding, ACH, and smoking status.
272 by PD-L1 expression, choice of platinum, and smoking status.
273 ance imaging data from healthy and cigarette-smoking subjects performing the Iowa Gambling Task.
274  the offspring of smokers are more likely to smoke than the offspring of nonsmokers, this sets the st
275 ven by more than 60 carcinogens in cigarette smoke that directly damage and mutate DNA(4,5).
276 ery day about 1600 youth aged 12 to 17 years smoke their first cigarette and that about 5.6 million a
277 ear regression models adjusted for age, sex, smoke, time living in Sao Paulo, daily commuting, socioe
278 bly act as intermediates on the pathway from smoking to ALS.
279                                     We found smoking to be a risk factor for many CVDs even after adj
280 is approach to study the causal pathway from smoking to overall survival among lung cancer patients p
281 pliffs (95%CI: 0.605-0.988); those who never smoked tobacco and did not use spliffs (95%CI: 0.489-0.8
282 nt within 60 minutes after waking: those who smoked tobacco and used spliffs (95%CI: 0.605-0.988); th
283 pliffs (95%CI: 0.489-0.892); those who never smoked tobacco and used spliffs (95%CI:0.022-0.915).
284                        Compared to those who smoked tobacco and used spliffs, the following spliff us
285 of the same cardiovascular health hazards as smoking tobacco.
286 tion; epithelial colonization; and cigarette smoke toxin exposure; as well as to elucidate genes requ
287                        Conclusion Except for smoking, traditional common cardiovascular risk factors
288 .6%) is genetically correlated with 18 other smoking traits (r(g) = 0.40-1.09) and co-morbidities.
289 rogram (MVP) where we identified 18 loci for smoking trajectory of current versus never in European A
290 erent smoking status groups, suggesting that smoking/vaping produces differential effects on oral hea
291                                         Ever smoked was associated with reduced volume of the right V
292                 Multivariable OR for current smoking was 1.93 (1.27-2.92), dyslipidemia OR=1.92 (1.41
293 sociated with compassion satisfaction, while smoking was a negative factor; these five factors explai
294                     Our results suggest that smoking was associated with a reduction in human lung CY
295                                      Current smoking was associated with significantly lower AGER and
296 A strong exposure-response relationship with smoking was found both in males [IRR, 1-pack-year increa
297                                      Tobacco smoking was the major influence on mutational burden, ty
298 icans, and 90 Hispanics with >=20 pack-years smoking were resequenced for the identification of rare
299    Clinical observations have linked tobacco smoking with increased type 2 diabetes risk.
300  and without nicotine aerosolized at 40 W (E-smoke) with respect to particle number concentrations, c

 
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