The dynamics of excited state structural relaxation of 4-dimethylaminobenzonitrile (DMABN) and related compounds

“…The spectral-kinetics behavior of compounds studied agrees with the models <mml:math alttext="$ext{A} ightarrowext{A}^ast ightarrowext{B}^ast$"> <mml:mrow> <mml:mtext>A</mml:mtext><mml:mo>&#x2192;</mml:mo><mml:msup> <mml:mtext>A</mml:mtext> <mml:mo>&#x2217;</mml:mo> </mml:msup> <mml:mo>&#x2192;</mml:mo><mml:msup> <mml:mtext>B</mml:mtext> <mml:mo>&#x2217;</mml:mo> </mml:msup> </mml:mrow> </mml:math> or <mml:math alttext="$ext{A} ightarrowext{A}^astleftrightarrowext{B}^ast$"> <mml:mtext>A</mml:mtext><mml:mo>&#x2192;</mml:mo><mml:msup> <mml:mtext>A</mml:mtext> <mml:mo>&#x2217;</mml:mo> </mml:msup> <mml:mo>&#x2194;</mml:mo><mml:msup> <mml:mtext>B</mml:mtext> <mml:mo>&#x2217;</mml:mo> </mml:msup> </mml:math>, where <mml:math alttext="$ext{A}^{ast}$"> <mml:msup> <mml:mtext>A</mml:mtext> <mml:mo>&#x2217;</mml:mo> </mml:msup> </mml:math> is the local excited planar and <mml:math alttext="$ext{B}^{ast}$"> <mml:msup> <mml:mtext>B</mml:mtext> <mml:mo>&#x2217;</mml:mo> </mml:msup> </mml:math> is the relaxed twisted state of the molecule. …”
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Time to neonatal mortality and its predictors among preterm neonates admitted to the neonatal intensive care unit in northern Ethiopia, 2023/2024: a retrospective cohort study by Brhanu Fisseha, Eskedar Berhanie Gidey, Berhe Gebrehiwot Tewele, Teklehaimanot Gereziher Haile

“…Cox proportional hazards models were fitted to identify independent predictors of preterm mortality. …”
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An online intervention relationship enhancement couple therapy program versus systematic desensitization on sexual performance anxiety in women undergoing infertility treatment wit... by Maryam Afzal Dehkordi, Tahmineh Farajkhoda, Mahdi Khanabadi, Farimah Shamsi

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Exploring the antifungal potential of Cannabis sativa-derived stilbenoids and cannabinoids against novel targets through in silico protein interaction profiling by Kevser Kübra Kırboğa, Aman Karim, Ecir Uğur Küçüksille, Mithun Rudrapal, Johra Khan, Raghu Ram Achar, Ekaterina Silina, Natalia Manturova, Victor Stupin

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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…We integrated the genes screened by three machine learning models (LASSO, SVM, and Random Forest), and CXCR4 was identified as a key gene with potential therapeutic value in DFUs. …”
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Value of transabdominal ultrasonography for diagnosing functional constipation in children: a systematic review and meta-analysis by Duc Long Tran, Phu Nguyen Trong Tran, Paweena Susantitaphong, Phichayut Phinyo, Palittiya Sintusek

“…Metaanalyses were performed using random-effects models to calculate the weighted mean differences (MDs) in RD and anterior wall thickness. …”
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Studying attention to IPCC climate change maps with mobile eye-tracking. by Doga Gulhan, Bahador Bahrami, Ophelia Deroy

“…Many visualisations used in the climate communication field aim to present the scientific models of climate change to the public. However, relatively little research has been conducted on how such data are visually processed, particularly from a behavioural science perspective. …”
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How far? Travel burdens for children admitted to hospitals in the Western Cape Province of South Africa by M Richards, D le Roux, D Pienaar

“…Detailed service area modelling and extending primary care working hours are potential considerations for improving access at scale and at the local community level. …”
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Traditional medicine use and associated factors in chronic patients in Jamalpur, Bangladesh: a cross-sectional study by Mahmuda Akter Poli, Md Jamil Hossain, Ibrahim Kholil, Sumaya Yasmin, Bishwjit Bhowmick, Lakshmi Rani Kundu

“…The Chi-square test was used to determine the association between categorical variables and multinomial logistic regression models to identify the factors associated with the use of traditional medicine.ResultsThe mean age of the participants was 43.7 (SD = 15.9) years. …”
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Surgical delay-associated mortality risk varies by subtype in loco-regional breast cancer patients in SEER-Medicare by Macall Leslie Salewon, Rashmi Pathak, William C. Dooley, Ronald A. Squires, Hallgeir Rui, Inna Chervoneva, Takemi Tanaka

“…BCSM were evaluated as flexibly dependent on continuous time (days) to surgery from diagnosis (TTS) using Fine and Gray competing-risk regression models, respectively, by HR status. Inverse propensity score-weighting was adjusted for demographic, clinical, and treatment variables impacting TTS. …”
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Evaluating catastrophic health expenditures among patients with long bone fractures in Ghana's major teaching hospitals: a hospital-based analysis by Alexis D. B. Buunaaim, Michel Adurayi Amenah, Dominic Konadu-Yeboah, Richard Baidoo, Amgbo Asare, Wilfred Larbi Addo, Claude Martin

“…We collected demographic, clinical, and economic data, including OOP payments and patient-reported income, to assess the incidence of CHE at varying income thresholds (10%, 20%, 30%, 40%). Logistic regression models were used to identify predictors of CHE, with variables including age, gender, education, region, fracture type, injury severity, and NHIS coverage. …”
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First evidence of sinter and travertine in Cameroon: fault reactivation and geothermal implications by Tchouatcha, Milan Stafford, Kouske, Arnaud Patrice, Tamfuh, Primus Azinwi, Préat, Alain, Toyama, René, Feumba, Roger, Tiokeng Ngounfack, Vannelle, Madjingain, Vivant, Konglim, Yaya Berinyuy, Tchameni, Rigobert

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Caracterización de fincas productoras de café (Coffea arabica L.) orgánico y convencional en la zona de Intag, Ecuador by Telmo Fernando Basantes-Vizcaíno, Julio Cesar Alegre Orihuela

“…Se realizó un análisis de correspondencia mediante información mutua en RStudio, con la finalidad de verificar si existe relación entre las variables categóricas, en segunda instancia se realizó una Correlación de Person mediante análisis de correlación con un modelo lineal generalizado con elastic nets (Machine Learning Models) y un cruce de validación para separar los datos numéricos, a fin de determinar un modelo de regresión logística. …”
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Soil carbon-food synergy: sizable contributions of small-scale farmers by Toshichika Iizumi, Nanae Hosokawa, Rota Wagai

“…Methods We applied random forest machine learning models to global gridded datasets on crop yield (wheat, maize, rice, soybean, sorghum and millet), soil, climate and agronomic management practices from the 2000s (n = 1808 to 8123). …”
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POTENTIAL OF THE KANTIAN NOTION OF SOCIAL JUSTICE by Z. Kieliszek

“…Then, I will reference his understanding of social justice against three fundamental models of social justice thus far established in the philosophical tradition: the legal, distributive, and contractual justice. …”
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Efficacy of Novel Noncontrast Cardiac Magnetic Resonance Methods in Indicating Fibrosis in Hypertrophic Cardiomyopathy by Maedeh Sharifian, Nahid Rezaeian, Sanaz Asadian, Ali Mohammadzadeh, Ali Nahardani, Kianosh Kasani, Yaser Toloueitabar, Ali Mohammad Farahmand, Leila Hosseini

“…The regional longitudinal and circumferential strain parameters showed significant associations with LGE (P<0.001), while regional circumferential strain was the only independent predictor of LGE in logistic regression models (OR: 1.140, 95% CI: 1.073 to 1.207, P<0.001). …”
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Alerting the illusion of smoking improves quality of life in Chinese male cancer survivors by Juan Xia, Peng Wu, Jiwei Wang, Jinming Yu

“…Using linear regression models adjusted for confounders, we measured the association between QOL and former smokers as well as current (occasional, <10 cigarettes/day, and ≥ 10 cigarettes/day) smokers compared with never smokers. …”
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Influence of High School Socioeconomic Status on Athlete Injuries during the COVID-19 Pandemic: An Ecological Study by Garrett Bullock, Albert Prats-Uribe, Charles Thigpen, Heather Martin, Beverly Loper, Ellen Shanley

“…Mixed effects negative binomial models with robust errors were performed to assess the association between the incidence proportion ratio and high school median household income. …”
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Insulin secretion, sensitivity, and clearance in normoglycemic Black and White adults with parental type 2 diabetes: association with incident dysglycemia by Samuel Dagogo-Jack, Jim Wan, Chimaroke Edeoga, Peace Asuzu

“…In Cox proportional hazards models, insulin secretion (HR 0.997 (95% CI 0.996 to 0.999), p=0.005), insulin sensitivity (HR 0.948 (95% CI 0.913 to 0.984), p=0.005), DI (HR 0.945 (95% CI 0.909 to 0.983), p=0.005) and basal insulin clearance (HR 1.030 (95% CI 1.005 to 1.056), p=0.018) significantly predicted incident dysglycemia.Conclusions Insulin sensitivity, secretion, and clearance differ significantly in normoglycemic African American versus European American offspring of parents with type 2 diabetes and are associated with the risk of incident dysglycemia.…”
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The global energy challenge: second-generation feedstocks on marginal lands for a sustainable biofuel production by Claudio Russo, Valerio Cirillo, Nausicaa Pollaro, Fabio Terribile, Andrea Chiodini, Albino Maggio

“…To fully exploit this option, it will be critical to calibrate plant growth models to estimate the potential biofuel production on marginal land from second-generation feedstock and to create tools for a more rational management of this land. …”
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