Comparative ozone production sensitivity to NO_<i>x</i> and VOCs in Quito, Ecuador, and Santiago, Chile by M. Cazorla, M. Trujillo, R. Seguel, R. Seguel, L. Gallardo, L. Gallardo

“…Here, we use a chemical box model to investigate ozone production sensitivity to NO<span class="inline-formula">_<i>x</i></span> and VOCs in Quito, Ecuador, and Santiago, Chile. …”
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Methods for Predicting the Costs of Maintaining Nuclear Heritage Facilities in а Safe State by D. F. Iliasov, A. Y. Ivanov, E. O. Kuznetsova

“…Based on obtained retrospective data, a correlation-regression model with structural changes was developed to predict the costs of maintaining nuclear energy facilities in a safe condition which are expected to be shut down in the future. …”
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Proactive Therapeutic Drug MONiToring to Guide Suppressive Antibiotic Therapy with DALBAvaNcin ( &gt; 12 weeks) in Osteoarticular Infections (MONTALBANO) by C. Mariani, C. Mariani, M. Passerini, M. Passerini, L. Galli, L. Galli, A. Covizzi, M. Colaneri, M. Colaneri, M. Offer, M. Faenzi, S. Merli, S. Landonio, M. Fusi, M. Fusi, A. Dolci, A. Dolci, A. Gori, A. Gori, A. Gori, D. Cattaneo

“…From the third dose onward, <span class="inline-formula"><i>C</i>_min⁡</span> and <span class="inline-formula"><i>C</i>_max⁡</span> values informed dosing schedules via log-linear regression models, targeting <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>C</mi><mo>min⁡</mo></msub><mo>≥</mo><mn mathvariant="normal">8</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="42pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="b9ec776a5854d6989e1ed213b0e00088"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jbji-10-255-2025-ie00001.svg" width="42pt" height="12pt" src="jbji-10-255-2025-ie00001.png"/></svg:svg></span></span> mg L<span class="inline-formula">⁻¹</span>. …”
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Association between remnant cholesterol and low-density lipoprotein cholesterol discordance and type 2 diabetes or prediabetes: results from NHANES by Yijing Xin, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang

“…The percentile difference between RC and LDL-C was used to define discordance. Logistic regression models were performed to assess the relationships between RC, LDL-C, RC and LDL-C percentile difference, LDL-C and RC discordant. …”
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Cross-sectional study on the association between 24-hour urinary potassium excretion and the risk of H-type hypertension and non-H-type hypertension in Chinese adults by Qingfang He, Xiaofu Du, Xiangyu Chen, Lixin Wang, Yujia Fang, Jieming Zhong

“…Participants’ level of KAB in H-type hypertension group presented a lower percentage (86.2%) knowledge of the risk factors of hypertension, a highest percentage (12.5%) of self-assessment of excessive salt intake, but a lowest percentage (23.0%) of taking initiative to reduce salt intake.Conclusion24-h urinary potassium excretion was negatively associated with the risk of both H-type hypertension and non-H-type hypertension, with a more stable negative response observed in H-type hypertension across logistic models and RCS curves. It is recommended that hypertension particularly H-type hypertension patients strengthen their KAB regarding salt reduction and hypertension, adopt reasonable dietary patterns, to improve potassium intake, and ultimately aid in better Hcy and blood pressure management.…”
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Aggregate index of systemic inflammation as a novel prognostic biomarker in Chinese patients with acute decompensated heart failure: a population-based real-world study by Lin Hu, Yangjie Deng, Chuanjin Liu, Yinghao Kuang, Xinfang Huang, Jinyan Zhang, Wanfen Huang, Yafei Jian, Guobo Xie, Yang Zou, Shuhua Zhang

“…Multivariable Cox proportional hazards model was employed to analyze the association between AISI and all-cause mortality.ResultsDuring 30-day follow-up, the overall mortality rate was 7.34% (203 deaths), with rates progressively increasing across AISI quartiles (Q1-Q4: 2.32%, 3.33%, 5.21%, 18.50%). …”
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Prevalence of and factors associated with multimorbidity among 18 101 adults in the South East Asia Community Observatory Health and Demographic Surveillance System in Malaysia: a... by Graciela Muniz-Terrera, Devi Mohan, Pascale Allotey, A Matthew Prina, Tin Tin Su, Daniel Reidpath, Roshidi Ismail, Michelle M C Tan, Esubalew Assefa, Ana Á M Keinert, Zaid Kassim

“…The number of chronic conditions increased linearly with age (p&lt;0.001). In the logistic regression model, multimorbidity is associated with female sex (adjusted OR 1.28, 95% CI 1.17 to 1.40, p&lt;0.001), education levels (primary education compared with no education: adjusted OR 0.63, 95% CI 0.53 to 0.74; secondary education: adjusted OR 0.60, 95% CI 0.51 to 0.70; tertiary education: adjusted OR 0.65, 95% CI 0.54 to 0.80; p&lt;0.001) and employment status (working adults compared with retirees: adjusted OR 0.70, 95% CI 0.60 to 0.82, p&lt;0.001), in addition to age (adjusted OR 1.05, 95% CI 1.05 to 1.05, p&lt;0.001).Conclusions The current single-disease services in primary and secondary care should be accompanied by strategies to address complexities associated with multimorbidity, taking into account the factors associated with multimorbidity identified. …”
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