Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…Nevertheless, methods oriented toward optimizing peak signal-to-noise ratio (PSNR) often tend to drive the SR image to an average of several possible SR predictions, resulting in visually over-smoothed outputs. …”
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Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection. by Colin Tomes, Ben Schram, Elisa Canetti, Robin Orr

“…When assessed by linear regression, neither HRV nor HR were predicted by MSFT score. These findings indicate that HR alone is likely not sufficiently sensitive to provide detail on the stress response of candidates undertaking essential tactical tasks that combine physical stressors with cognitive load in adverse conditions. …”
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The Reach of Depression Screening Preceding Treatment: Are There Patterns of Patients' Self-Selection? by Dea Ajduković, Mirjana Pibernik-Okanović, Mario Šekerija, Norbert Hermanns

“…Willingness to accept treatment was predicted by professional status (OR = 3.24, 95% CI = 1.53–6.87), education (OR = 1.21, 95% CI = 1.05–1.38), and BMI (OR = .91, 95% CI = .85–.98). …”
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The Association between Vitamin D Hypovitaminosis and Cardiovascular Disease Risk in Saudi Diabetic Patients Type II by Abeer Ahmed Alrefai, Elsayed Elsalamony, Sameer H. Fatani, Zeinab A. Kasemy, Abdulaziz Fatani, Hala Fawzy Mohamed Kamel

“…There is a considerable association between lifetime and 10 years of ASCVD risk with hypovitaminosis D in T2DM, regardless of the deficiency levels which could be predicted by the diabetes duration.…”
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New Leakage Model for Naturally Fractured Formations Considering the Effects of Dual-System Hydro-Mechanical Coupling by Hao Peng, Qian Li, JiaJia Gao, Hu Yin, Jun Wang

“…The new model may be utilized to simulate various problems related to the invasion of drilling fluids into the fractures, including predicting the dynamic width of natural fracture and borehole ballooning/breathing phenomena.…”
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A comprehensive analysis and comparative study of the trends in thyroid cancer burden in China and globally from 1990 to 2021, with projections for the next 15 Years by Yulai Yin, Xiaoyu Zhang

“…While the age-standardized mortality rate for females is projected to decline significantly, the mortality rate for males is predicted to stabilize.ConclusionBetween 1990 and 2021, the number of thyroid cancer cases has increased both in China and globally, while the mortality rate has shown a marked decline. …”
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Defense Budget Gaps and Legal Implications of Alternative Financing in Indonesia: A Legal Reform Perspective by Aris Marsudiyanto, Athor Subroto, Bambang Permadi Soemantri Brodjonegoro, A. Hanief Saha Ghafur

“…Using the Autoregressive Integrated Moving Average (ARIMA) approach, we predict future budget availability and compare it with the projected defense needs, revealing a significant gap. …”
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The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time by Leonid N. Yasnitsky, Vitaly L. Yasnitsky, Aleksander O. Alekseev

“…On the other hand, there are several dynamic models taking into account the overall state of the economy and designed to predict and study the overall price situation in real estate markets. …”
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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

“…We apply and validate this method on the grey seal Halichoerus grypus, a pinniped species that spends much of its time at sea but is predictably observable during its annual breeding season. …”
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MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection by Jun Liu, Haolin Li, Hao Liu, Jiuzhen Liang

“…Ultimately, AGNet’s true positive rate (TPR), positive predictive value (PPV), and f-measure exceed those of the state-of-the-art (SOTA) algorithms by 1.88%, 0.05%, and 0.77%, respectively, and with a consistent model architecture, its parameter quantity is reduced by 56%.…”
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Evaluation of Risk Factors of Peri-Implant Disease Using a New Manual Risk Assessment Model: A Clinical study by Mahima Jain, Mohd Shafiq Bin Shaffa’ee, Ashita Uppoor, Swati Pralhad, Sangeeta U. Nayak, Sharon Saldanha

“…Implants are being widely used as a treatment option and are considered the best line of treatment owing to their high level of predictability. However, over 5 years, 0–14.4% of dental implants have demonstrated peri-inflammatory reactions associated with loss of crestal bone and ultimately loss of the implant. …”
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Blind Spot in the Radar of MEST-C Score: Type and Severity of Tubulointerstitial Nephritis in IgA Nephropathy by Iram Asrar, Mudassar Hussain, Aurangzeb Afzal, Usman Hassan, Sheeba Ishtiaq

“…The updated version of predictive classification for immunoglobulin A nephropathy (IgAN) prognosis “The Oxford Classification” identifies five histopathological features including mesangial hypercellularity (M), endocapillary proliferation (E), segmental glomerulosclerosis (S), tubular atrophy/interstitial fibrosis (T) and crescents (C), the MEST-C. …”
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The role of passive surveillance and citizen science in plant health by Nathan Brown, Ana Pérez-Sierra, Peter Crow, Stephen Parnell

“…Methods are increasingly available to predict species distributions from large datasets, but more work is needed to understand how these apply to rare events such as new introductions. …”
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Why PD-L1 expression varies between studies of lung cancer: results from a Bayesian meta-analysis by Preston Ngo, Wendy A. Cooper, Stephen Wade, Kwun M. Fong, Karen Canfell, Deme Karikios, Marianne Weber

“…Using the 22C3 antibody as a benchmark, we predicted that 58.3% (95% CrI 49.8–66.1%) and 27.0% (95% CrI 21.2–33.1%) of NSCLC will have PD-L1 tumour proportion scores at the ≥ 1% and ≥ 50% threshold. …”
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Influence of thermal ageing on tensile-plastic flow and work hardening parameters of Indian reduced activated Ferritic Martensitic steel by Sahoo K.C., Laha K.

“…Conclusively, the Voce relation proved efficacious in predicting the yield stress (YS) and ultimate tensile strength (UTS) of both the thermally aged and N&T INRAFM steel at varying temperatures.…”
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Damage symptoms, development, and reproductive performance of the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) on fodder maize and cob by Hend O. Mohamed, Hassan F. Dahi, Azza A. Awad, Walaa E. Gamil, Bassam F. Fahmy

“…The results of this study could play a significant role in predicting the damage and reproductive performance of FAW in maize fields during their developmental growth, which will further help in developing effective integrated management techniques against this pest.…”
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Early OCT Angiography Changes of Macular Neovascularization in Patients with Exudative AMD Treated with Brolucizumab in a Real-World Setting by Anne Rübsam, Saskia Rau, Daniel Pilger, Oliver Zeitz, Antonia M. Joussen

“…We further assessed clinical parameters that predict the treatment response at baseline based on the need of q8w or q12w injections after the upload. …”
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Correcting the Cognitive Bias for Commuting Time to Relieve the Driving Stress Level in Snow Weather Condition: A Naturalistic Driving Study in Harbin, China by Zifeng Yang, Zhenwu Shi, Di Lu, Jie Liu

“…The results of hierarchical linear regression models indicated that overall stress scores could be predicted through participants’ sociodemographic characteristics, driving experience, commuting driving, and cognitive bias for commuting time. …”
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Quantifying soil surface erosion by Philippe, Pierre, Benahmed, Nadia

“…It is therefore essential to be able to predict future soil removal rates at multiple scales, in order to anticipate or mitigate their impacts. …”
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Leveraging mRNA technology for antigen based immuno-oncology therapies by Wei Zheng, Michele Ceccarelli, Charalampos S Floudas, Siranush Sarkizova

“…We explore various strategies for antigen target identification, including tumor-associated and tumor-specific antigens and the computational tools used to predict epitopes capable of eliciting strong immune responses. …”
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