Generalising axion-like particle as the curvaton: sourcing primordial density perturbation and non-Gaussianities by Anish Ghoshal, Abhishek Naskar

“…We identify the parameter space involving the axion decay constant $$f_{\phi }$$ f ϕ , scale of confinement $$\Lambda $$ Λ , ALP mass m and the masses of the fermions, $$m_u$$ m u and $$m_d$$ m d where it can satisfactorily behave as the curvaton and source the observed primordial density perturbation. We also predict local non-Gaussianity signals for bi-spectrum and tri-spectrum $$f_{NL}$$ f NL and $$g_{NL}$$ g NL , as a function of the ratio $$m_u/m_d$$ m u / m d , which are within the allowed range in the latest Planck observations and are detectable with future observations. …”
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Association between advanced lung cancer inflammation index and all-cause and cause-specific mortality among asthma patients: a cohort study by Tu-Lei Tian, Xiang-Kun Qu, Hong-Bo Zhang, Cun-Cun Wang, Qing-Qing Yuan, Jing Xia, Li-Fang Cao, Kui Liu

“…BackgroundThe advanced lung cancer inflammation index (ALI), which reflects both inflammation and nutritional status, has an uncertain role in predicting outcomes for asthma patients. This study aimed to evaluate the association between ALI and mortality from all causes, as well as specific causes including cardiovascular disease (CVD) and cancer-related mortality, among individuals with asthma.MethodsWe analyzed data from 4,829 asthma patients who participated in the U.S. …”
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The BLUP method in evaluation of breeding values of Russian spring wheat lines using micro- and macroelements in seeds by N. A. Potapova, A. S. Zlobin, I. N. Leonova, E. A. Salina, Y. A. Tsepilov

“…The following average values of the Pearson correlation were obtained for predicting the concentration of trace elements: K – 0.67, Ca – 0.61, Mg – 0.4, Mn – 0.5, Fe – 0.38, Zn – 0.46, Cu – 0.48. …”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…Furthermore, CAT employs a dual-stream decoder that dynamically determines whether the predicted word should be influenced by the retrieved terminology or the preceding sentence. …”
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Thermal Environmental Impact of Urban Development Scenarios from a Low Carbon Perspective: A Case Study of Wuhan by Kai Lin, Qingming Zhan, Wei Xue, Yulong Shu, Yixiao Lu

“…Then, the ANN (artificial neural network)–CA (Cellular Automata) model is employed to establish three distinct development scenarios (Ecological Priority, Tight Growth, and Natural Growth) to predict future urban expansion. Additionally, the WRF (Weather Research and Forecasting Model)—UCM (Urban Canopy Model) model is used to investigate the thermal environmental impacts of varying urban development scenarios. …”
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Remote sensing assessment of dam impact on arid basins in Southern Saudi Arabia: A machine learning and space-for-time approach by Raid Almalki, Mehdi Khaki, Patricia M. Saco, Jose F. Rodriguez

“…Additionally, regression models showed a decrease in predictive accuracy from 2010 to 2020, as evidenced by lower R² values for NDVI (0.82–0.37), soil salinity (0.77–0.38), groundwater (0.98–0.34), and soil moisture (0.96–0.24).…”
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Using the modified frailty index as a predictor of complications in adults undergoing transforaminal interbody lumbar fusion by Momin M. Mohis, Simon G. Ammanuel, Cuong P. Luu, James A. Stadler

“…Conclusions: mFI-5 serves as an effective predictor of surgical outcomes following TLIF and independently predicts unplanned readmission, discharge to home, and major complications. …”
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BDNF Levels and Cognitive Function in Patients with Type 2 Diabetes Treated with SGLT2 Inhibitors by Betül SÜMBÜL ŞEKERCİ, Şeymanur DEMİRHAN, Esra ÇALIŞICI, Abdüsselam ŞEKERCİ

“…Significant correlations were observed between BDNF levels and the levels of microalbumin, microalbumin/creatinine, estimated glomerular filtration rate (eGFR), lymphocytes, According to linear regression analysis, effect of eGFR levels in predicting BDNF levels was significant. Conclusion: Our results indicated that cognitive performance and BDNF levels were similar between users of metformin and SGLT2 inhibitors. …”
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Relationship between Peripheral Blood miR-181c, miR-101, and Cognitive Impairment in Patients with Diabetes Mellitus Complicated with Acute Stroke by Mengxian Shu, Chunhui Xiang

“…The results of ROC curves analysis showed that AUC, sensitivity, and specificity of miR-181c combined with miR-101 for predicting CI were 0.865, 73.17%, and 89.66%, respectively (P<0.05). …”
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Effects of socioeconomic and human-modified landscape variables on medicinal species richness at a macroscale: the case of the Caatinga, Brazil by Aníbal Silva Cantalice, Thiago Gonçalves-Souza, Ulysses Paulino Albuquerque

“…However, it remains largely unknown whether these same factors can predict knowledge of useful species at broader scales and whether their interaction might create scenarios that enhance knowledge of medicinal species. …”
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Correlation among blastocoel fluid DNA level, apoptotic genes expression and preimplantation aneuploidy by Fattaneh Khajehoseini, Zahra Noormohammadi, Poopak Eftekhari-Yazdi, Hamid Gourabi, Reza Pazhoomand, Shirzad Hosseinishenatal, Masood Bazrgar

“…This study aimed to develop less invasive methods for predicting ploidy status by investigating how ploidy status affects blastocoel fluid DNA (BF-DNA) levels and apoptotic gene expression as indicators of embryo viability. …”
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Strategic control of excess tellurium to achieve high figure-of-merit in Te-rich Bi0.5Sb1.5Te3 by Ranu Bhatt, Rishikesh Kumar, Pramod Bhatt, Pankaj Patro, Shovit Bhattacharya, Mani Navaneethan, Soumen Samanta, Ajay Singh

“…The COMSOL simulations predict a maximum conversion efficiency (η max ) of ~ 15%, at a temperature gradient (∆T) of 270 K, for a single-leg thermoelectric generator (TEG) developed using this material.…”
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Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

“…Combining sensor data from all modalities improved predictions in both LoDo and LoPo cross-validation, compared to each modality in isolation. …”
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A modified non-contrast MRI in the preoperative examination of periacetabular osteotomy at 3.0T by Chuanhui Xu, Xin Pan, Baochen Song, Guangwei Zhang, Daguang Zhang

“…Results The modified non-contrast MRI detected the labral injury with a sensitivity of 94%, a specificity of 75%, an accuracy of 92%, and a positive predictive value of 97%. Among the 38 hips, 10 hips had labral varus (i.e., inward deviation or angulation of the acetabular labrum) with an incidence rate of 26% (10/38), 9 hips had acetabular cysts (i.e., the fluid-filled sacs that develop in or around the acetabulum, the socket of the hip joint) with an incidence rate of 23% (9/38). …”
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Aeroacoustic Attenuation Performance of a Helmholtz Resonator with a Rigid Baffle Implemented in the Presence of a Grazing Flow by Di Guan, Dan Zhao, Zhaoxin Ren

“…It is shown that as the rigid baffle is attached in the 2 different configurations, the resonant frequencies and the maximum transmission losses cannot be predicted by using the classical theoretical formulation ω2=c2S/VLeff, especially as the grazing Mach number Mu is greater than 0.07, i.e., Mu>0.07. …”
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Genetic aspects of major blood metabolites in the Italian Simmental cattle population by S. Magro, A. Costa, A. Cesarani, L. Degano, M. De Marchi

“…In the present study, we estimated h2 of BHB, NEFA, and urea in blood predicted from milk mid-infrared spectra and assessed their genetic correlation with milk yield and composition traits in the Italian Simmental cattle breed using phenotypes of 3,549 cows in 207 herds. …”
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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…Alterations in frequency-domain amplitude and functional connectivity within the PFC, OFC, and ACC during belief updating underlie the computational effects and could serve as potential indicators for predicting relapse in future research.…”
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Targeted Plasma Bile Acid Metabolomic Analysis in Metabolic Dysfunction-Associated Steatohepatitis and Alcoholic Hepatitis by Yuta Hirata, Yasunaru Sakuma, Hideo Ogiso, Ryozo Nagai, Kenichi Aizawa

“…<b>Implications:</b> GCDCA may serve as a predictive biomarker for liver damage, potentially enabling early diagnosis and targeted intervention in patients with MASH and AH.…”
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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…Reducing the target classes from seven to four was found to considerably improve the accuracy of the predictions. Our findings contribute to distinguishing agroforests from forests at a large scale, providing insights into previously undetected tree-covered land uses and thus informing on sustainable ecosystem management. …”
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Senescence-related circRNA circHIF-1α is associated with pancreatic cancer progression by Hao Hua, Yazu Deng, Dijie Zheng, Changhao Wu, Liwen Chen, Binbin Shi, Zhiwei He, Chao Yu

“…High circHIF-1α expression levels were found to independently predict poor survival outcomes. Subsequent treatments with DOX and H2O2 resulted in significantly lower levels of circHIF-1α. …”
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