State estimation with quantum extreme learning machines beyond the scrambling time by Marco Vetrano, Gabriele Lo Monaco, Luca Innocenti, Salvatore Lorenzo, G. Massimo Palma

“…Here, we explore the tight relation between QIS and the predictive power of QELMs. In particular, we show efficient state estimation is possible even beyond the scrambling time, for many different types of dynamics — in fact, we show that in all the cases we studied, the reconstruction efficiency at long interaction times matches the optimal one offered by random global unitary dynamics. …”
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Extension of the basic Global Health Security (GHS) index: Health system security indicator by Živković Živan, Panić Marija

“…This extension of the GHS index provides a more reliable model for predicting the ability of a country's health system to provide an adequate response in a pandemic crisis when human health is seriously endangered. …”
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Numerical and experimental investigation of piezoelectric-pneumatic material jet printing method for high-viscosity ink by Xinyi Hu, Xiaoran Dong, Zhanda Li, Junhui Long, Yuan Jin, Hui Li

“…By comparing the numerical simulation with the experimental data, the operation mechanism of PPMJ shows good agreement, making the computational framework a valuable tool for predicting the morphologies of droplets. The results show that the material rheological properties and the fabrication parameters would influence the printing techniques and the formation of the printed droplets.…”
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Central precocious puberty associated with duplicated pituitary: a case report and literature review by Kun Yang, Yanmei Sang, Yanmei Sang, Li Dai, Weizhong Wang

“…After 2 years of follow-up, there was a delay in the progression of sexual development, a reduction in symptoms of precocious puberty, and an increase in predicted adult height.…”
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Real estate dispossession, income and immigration in Las Palmas de Gran Canaria (Spain) by Juan Manuel Parreño Castellano, Josefina Domínguez-Mujica, Claudio Moreno-Medina

“…In order to achieve this objective, the records of the Common Service of Notifications and Seizures have been used together with data of the Inland Revenue Ministry and Municipal Register, combining statistical and cartographical analysis with the purpose of finding associations and predictive factors. The study reveals that there is a great concentration of real estate deprivation in the central areas of the city and that the standards of distribution of dispossession are inversely related to the level of income of the urban districts and directly related to the foreign population. …”
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Optimization of cyber security through the implementation of AI technologies by Nawaf Liqaa, Bentotahewa Vibhushinie

“…The Metaheuristic algorithms are stimulated by the human brain, so implementing Artificial Intelligence (AI) that assists the Neural Network to mimic the behaviour of the human brain is important to predict significant outcomes. In this study, the author investigates and analyses the rapid growth of cyber threats to outline the solutions. …”
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Stellar Streams Reveal the Mass Loss of Globular Clusters by Yingtian Chen, Hui Li, Oleg Y. Gnedin

“…By fitting power-law relations between the mass-loss rate and key GC properties, we identify positive correlations with GC mass and orbital frequency, consistent with the predictions from N -body simulations.…”
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Semiclassical quantization of M5 brane probes wrapped on AdS3 × S 3 and defect anomalies by M. Beccaria, L. Casarin, A. A. Tseytlin

“…This implies the vanishing of the order N 0 part in the b-anomaly coefficients, in agreement with earlier predictions for their exact values. It remains, however, a puzzle of how to reproduce the non-vanishing order N terms in these coefficients within the semiclassical M5-brane probe setup.…”
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MASC: Wearable Design for Infectious Disease Detection Through Machine Learning by Sumaiya Afroz Mila, Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, Sandip Ray

“…This approach correlates sensor data trends with disease predictions, utilizing existing hospital patient data to enhance diagnosis accuracy. …”
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Breaking the wire: the impact of critical length on melting pathways in silver nanowires by K M Ridings, E E L Vaka’uta, S M Croot

“…For wires longer than a critical length ( L  >  L _crit ), an Arrhenius-type diffusion model successfully predicts the solid-liquid interface velocity, highlighting diffusion-driven melting pathways. …”
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A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning by Jiayi Zhang, Shensheng Chen, Tmader Alballa, Laila A. AL-Essa, Haifa Alqahtani, Hamiden Abd El-Wahed Khalifa

“…Methods based on probability make use of data sets to recognize patterns, evaluate potential outcomes, and predict various scenarios. These methods are often empirically utilized to analyze data sets, with a particular focus on data sets related to energy. …”
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Continuous Gravitational Waves from Thermal Mountains on Accreting Neutron Stars: Effect of the Nuclear Pasta Phase by Hong-Bo Li, Lijing Shao, Cheng-Jun Xia, Ren-Xin Xu

“…Considering the properties of nuclear pasta, we study the detectability of known accreting neutron stars and compare predicted results to the detectable amplitude limits. …”
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Liquid–liquid extraction: thermodynamics–kinetics driven processes explored by microfluidics by Olivier, Fabien, Maurice, Ange A., Meyer, Daniel, Gabriel, Jean-Christophe P.

“…Liquid–liquid extraction processes, characterized on-line by instrumented microfluidic platform, significantly enhance the development of predictive thermodynamic models, such as ienaics, and lay the foundations for new approaches to improve kinetic models which combine transport and chemistry. …”
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Unveiling prognostic value of JAK/STAT signaling pathway related genes in colorectal cancer: a study of Mendelian randomization analysis by Nan Zhang, Wenli Yue, Bihang Jiao, Duo Cheng, Jingjing Wang, Fang Liang, Yingnan Wang, Xiyue Liang, Kunkun Li, Junwei Liu, Yadong Li

“…Conclusions A new JAK-STAT related CRC prognostic model was constructed and validated, which possessed an underlying predictive potential for CRC patients’ prognosis and could potentially enhance tailored guidance for immunotherapy.…”
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Long-Term Real-World Outcomes of Tenofovir Alafenamide in Chronic Hepatitis B: Detailed Analysis of Treatment-Naive and Experienced Patients by Yu-Xuan Song, Guang-Jun Song, Hui Ma, Bo Feng, Yan-Di Xie

“…The baseline BMI <25 kg/m2 and HBsAg <3.3 log10IU/mL were predictive factors for a significant decline in HBsAg at 48 weeks. …”
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One-step diagnosis of infection and lung cancer using metagenomic sequencing by Shaoqiang Li, Yangqing Zhan, Yan Wang, Weilong Li, Xidong Wang, Haoru Wang, Wenjun Sun, Xuefang Cao, Zhengtu Li, Feng Ye

“…In lung cancer diagnosis, Onco-mNGS showcases excellent diagnostic capabilities with sensitivity, specificity, accuracy, positive predictive value, and negative predictive value reaching 88.46%, 100%, 91.41%, 100%, and 90.98%, respectively. …”
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Risk of All-Cause Mortality in US Adults With Preserved Ratio Impaired Spirometry: An Observational Study by Xiao S, Ou J, Qiu W, Ye C, Li N, Chen S, Lai Y, Deng Z, Wu F, Shen Y

“…Normal spirometry was defined as a prebronchodilator FEV1/FVC≥ 0.70 and FEV1≥ 80% predicted. We used Cox proportional hazards regression models to compare all-cause mortality between the groups. …”
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Time-dynamic associations between symptom-related expectations, self-management experiences and somatic symptom severity in everyday life: an ecological momentary assessment study... by Bernd Löwe, Yvonne Nestoriuc, Anne Toussaint, Stefanie Hahn, Franz Pauls, Simon Kirchhof

“…Time-lagged analysis showed higher levels of symptom-related expectations predicted higher subsequent symptom severity levels (β=0.502, p&lt;0.001), whereas preceding symptom severity levels or self-management experiences did not predict subsequent symptom severity levels. …”
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Audit Sistem Informasi pada Sistem Manajemen Layanan Satu Atap (SIMANTAP) Menggunakan Kerangka COBIT 5.0 (Studi Kasus: Bank Indonesia Provinsi Bengkulu) by Arie Vatresia, Pieters N.P Tambunan, Aan Erlanshari

“…This study shows that the capability level of SIMANTAP is currently at level 4 (Predictable Process). Meanwhile, in order for the SIMANTAP information system to achieve the desired level of capability at level 5 (Optimizing Process), the recommendations that need to be made are to make key performance indicators in all SIMANTAP performance assessments, create a SIMANTAP guide book, and document the level of implementation and performance evaluation. …”
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APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION by Matej Havlas, Veronika Novotná

“…The findings show that industry is actively integrating AI into strategic areas, leading to improvements in process automation, predictive maintenance and product innovation. Higher education is adapting to these changes and transforming its teaching methods and curricula to prepare students to work with AI. …”