How prevalent is the cross-disciplinary career transition? Evidence from a multi-dimensional comparative analysis by Tongyang Zhang, Chao Yu, Dong Zhang, Jian Xu

“…However, studies on the prevalence of career transitions in different disciplinary areas are rare, especially those investigating the patterns of disciplinary changes accompanied by career transitions. …”
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EFFECT OF THE EXTENT OF MEDIASTINAL LYMPHODISSECTION ON THE RESULTS OF COMBINED MODALITY TREATMENT FOR STAGE IIIA (N2 ) NON-SMALL CELL LUNG CANCER by E. O. Mantsyrev, A. V. Vazhenin, O. A. Gladkov, A. A. Lukin, M. N. Mironchenko, Ya. A. Gnatyuk, S. N. Timofeev

“…The median disease progression-free survival was 31 months and 14.5 months and the overall 5-year survival rates were 43,4 % and 16 %, respectively (p<0,05). …”
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Intelligent prediction of thyroid cancer in China based on GBD data and hospital electronic medical records: disease burden analysis combined with multiple machine learning models by Lina Yang, Shixia Zhang, Xinguo Wang, Jianjun Yang, Mengya Chen

“…It comprehensively reveals the disease burden trend of thyroid cancer in China, predicts the mortality rate of thyroid cancer in China, and emphasizes the causal role of high BMI as an important controllable risk factor. …”
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Study on influence of coal seam water content on effect of CO2 isobaric diffusion displacing CH4 by Liwei CHEN, Dongjie WANG, Le BIAN, Yuan LIU, Xiaohua LI

“…In the experiments of CH4 replacement by CO2 injection in coal with different water contents under isobaric diffusion conditions, it was found that, under the same water content conditions, with the increase of adsorption equilibrium pressure, the replacement amount and replacement rate of CH4 kept increasing, while the CO2 injection ratio kept decreasing, and the replacement effect of CH4 was better, while the utilization rate of CO2 was lower. …”
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Unmasking insider threats using a robust hybrid optimized generative pretrained neural network approach by P. Lavanya, H. Anila Glory, Manuj Aggarwal, V. S. Shankar Sriram

“…The structure of the proposed approach involves three phases: (1) Chebyshev Graph Laplacian Eigenmaps solver (CGLE) for selecting the user-designated samples by reducing the dimensionality of the data and Insider State clustering via Density-Based Spatial Clustering of Applications with Noise (IS-DBSCAN) (2) The EHI of multi-objective Bayesian optimization for optimizing the sensitive learning rate hyperparameter to ensure the stability of the Adabelief optimized WGAN and improve the quality of the generated adversarial samples. (3) The L2-SP regularization technique effectively fine-tunes the pretrained AGCN, which identifies the user behavioural pattern to detect the insiders. …”
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A STUDY TO ASSESS THE DISTRIBUTION OF SUSPECTED ADVERSE EVENTS FOLLOWING IMMUNISATION REPORTED IN A METROPOLITAN CITY IN INDIA by Sophie Simon, Shalini Rawat, Rohan Sangam, G D Velhal

“…Results: The AEFI reporting rate was calculated as 5.8 per 100000 doses administered per year. …”
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MODERN MOVEMENTS OF THE CRUST SURFACE IN GORNY ALTAI FROM GPS DATA by V. Yu. Timofeev, D. G. Ardyukov, A. V. Timofeev, E. V. Boiko

“…Analyzed are modern movements in the Gorny Altai region outside the Chuya earthquake area.The results of our study show that modern horizontal displacements occur in the NNW direction at the rate of 1.1 mm/yr, which is twice lower than the displacement rate before the earthquake.…”
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Emotional Interactive Simulation System of English Speech Recognition in Virtual Context by Dan Li

“…The experiments of feature extraction and pattern recognition of speech samples prove that Hidden Markovian has higher recognition rate and better recognition effect in speech emotion recognition. …”
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Variations in the Use of Faecal Immunochemical Testing (FIT) in Primary Care in England: A Population-Based Cohort of 531,735 FITs from 495,121 Patients Between 2019 and 2023 by Morton AJ, Crooks CJ, West J, Nicholson BD, Humes DJ

“…This is the first study on national patterns of FIT testing, showing a rapid but unequal increase across England.There is large variation in the proportion of FIT results exceeding the referral criteria of 10 μgHb/g faeces between English regions that is associated with the rate of testing in each region. 3) What do these results mean?…”
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Multimodal versus non-contrast computed tomography for assessment of acute ischaemic stroke: the PRACTISE RCT by Keith W Muir, Salwa El Tawil, Alex McConnachie, Alicia Murray, Ian Ford, Grant Mair, Joanna Wardlaw

“…Multimodal scans did not delay treatment or change outcomes despite lower treatment rates. The high rate of clot-busting treatment may reflect less well-targeted treatment, as reported elsewhere. …”
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Wavelength-time-division multiplexed fiber-optic sensor array for wide-field photoacoustic microscopy by Wei Li, Xiaoxuan Zhong, Jie Huang, Xue Bai, Yizhi Liang, Linghao Cheng, Long Jin, Hao-Cheng Tang, Yinyan Lai, Bai-Ou Guan

“…Using a 4-element sensor array, we achieved an expanded FOV of 5 × 8 mm² while maintaining high temporal resolution (160 kHz A-line rate, 0.25 Hz frame rate) and microscopic spatial resolution (10.7 μm). …”
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Modeling Cut Rose Yield Over an 18‐Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting by E. A. deNijs, A. Tietema, R. Bol, E. E. vanLoon

“…As the crop matured, asymptote parameter estimates increased, while growth rate parameter estimates decreased, reflecting a stabilization of growth patterns. …”
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A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting by Zihan Liu, Zijia Zhang, Weizhe Zhang

“…We evaluate the proposed framework on eight public datasets (electricity, exchange rate, weather, traffic, illness, ETTh1/2, and ETTm1/2) covering diverse domains and scales. …”
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Bayesian spatio-temporal conditional autoregressive localized modeling techniques for socioeconomic factors and stunting in Indonesia by Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono, Dian Handayani, Nurwan Nurwan

“…Assuming a Poisson likelihood for stunting counts, the optimal model was estimated using Markov Chain Monte Carlo methods and included two covariates, namely the poverty rate and the incidence of low birth weight, with up to five spatial clusters. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…An AUC of 98.2%, an F1-score of 96.8%, and a false positive rate of only 0.02% underline the model’s generalizability, accuracy, and resilience. …”
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Saccadic intrusions in amyotrophic lateral sclerosis (ALS) by Wolfgang Becker, Martin Gorges, Dorothée Lulé, Elmar Pinkhardt, Albert Christian Ludolph, Jan Kassubek

“…Yet, there were clear correlations with parameters such as eye blink rate or errors in a delayed saccade task that suggest an impairment of inhibitory mechanisms, in keeping with the notion of a frontal dysfunction in ALS. …”
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Measuring and Analyzing the Spatiotemporal Evolution of Agricultural Green Total Factor Productivity on the Tibetan Plateau (2002–2021) by Mengmeng Zhang, Jianyu Xiao, Chengqun Yu

“…The main findings are as follows: (1) AGTFP in Tibet rose overall from 0.949 in 2002 to 1.068 in 2021, with a compound annual growth rate of 0.78%, yet remained below the national average; (2) significant regional heterogeneity emerged, with three typical evolution patterns identified: continual improvement (Nagqu, Qamdo), stable fluctuation (Lhasa, Xigazê), and risk of decline (Lhoka, Nyingchi, Ngari); (3) gains in pure technical efficiency were the primary driver of AGTFP growth, while insufficient scale efficiency was a key constraint; (4) AGTFP exhibited a “convergence–divergence–reconvergence” dynamic, with interregional disparities widening but structural patterns stabilizing; and (5) interregional inequality was the main source of overall disparity—its importance grew over the study period, with the largest gap observed between agrarian and pastoral zones. …”
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The emerging threat of multidrug-resistant mecA gene-positive coagulase-negative Staphylococci by Samira Fattah Hamid, Aza Bahadeen Taha, Shler Qasim Hussien

“…The clinical isolation rate of these bacteria has increased in parallel with a rising prevalence of antibiotic resistance. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Breast cancer has the highest mortality rate. Therefore, histologic imaging evaluations must detect breast cancer early. …”
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Use of information-fusion deep-learning techniques to detect possible electricity theft: A proposed method by Maria Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…With the SGCC dataset, the method achieved an AUC (area under the curve) of 96.7%, a mAP@100 (mean average precision at 100) of 95.7%, and an FPR (false positive rate) of 8.1%. With the CER dataset, the method achieved an AUC of 96.7%, a mAP@100 of 97.3%, and an FPR of 5.2%. …”
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