A vestige of FZZ duality in higher dimensions by Chethan Krishnan, Sarthak Talukdar

“…As a result, there is a critical value of the winding amplitude that matches with the 1+1 coset SCFT prediction. At this critical point, the cigar has a puncture at the Euclidean horizon and the higher dimensional black hole entropy is correctly reproduced by the winding condensate.…”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“… The aim of this study is to apply Machine Learning techniques for predicting and classifying the stress level of people commuting from home to work and also to evaluate the performance of prediction models using feature selection. …”
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Size distribution of extracellular vesicles in pretreatment ascites and plasma is correlated with primary treatment outcome in advanced high-grade serous carcinoma by Maruša Herzog, Ivan Verdenik, Borut Kobal, Katarina Černe

“…Our results indicate that the EV size distribution in ascites has the potential to predict resection success after primary cytoreductive surgery and that the EV size distribution of the smallest EVs in plasma might help predict the chemotherapy response of patients treated with NACT. …”
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Developing a risk score using liquid biopsy biomarkers for selecting Immunotherapy responders and stratifying disease progression risk in metastatic melanoma patients by Amalia Azzariti, Simona De Summa, Tommaso M. Marvulli, Ivana De Risi, Giuseppe De Palma, Roberta Di Fonte, Rossella Fasano, Simona Serratì, Sabino Strippoli, Letizia Porcelli, Michele Guida

“…Identifying biomarkers to predict patient response is crucial, ideally through non-invasive methods such as liquid biopsy. …”
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…For BinaryLSTM, PlaceField2BVec always had the highest accuracy in location prediction although the accuracy decreased as the space extended. …”
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Bidirectional relationship between depression and activities of daily living and longitudinal mediation of cognitive function in patients with Parkinson’s disease by Yue Xu, Yue Xu, Durong Chen, Meiqi Dong, Yun Zhang, Yun Zhang, Hongmei Yu, Hongmei Yu, Hongmei Yu, Yanqing Han, Yanqing Han, Yanqing Han

“…Then, we explored the mediating role of cognitive function in the bidirectional relationship between depression and ADL in patients with PD, and the mediation effect test was carried out using a bias-corrected nonparametric percentile bootstrap approach.ResultsDepression in patients with PD predicted their subsequent ADL (β = 0.079, p < 0.01), and ADL also predicted their subsequent depression (β = 0.069, p < 0.05), In addition, Bootstrap analysis showed that cognitive function played a significant mediating role in prediction of depression to ADL in patients with PD (β = 0.006, p = 0.074, 95%CI = 0.001 ~ 0.014), and cognitive function also played a significant mediating role in prediction of depression to ADL (β = 0.006, p = 0.067, 95%CI = 0.001 ~ 0.013).ConclusionThere is a bidirectional relationship between depression and ADL in patients with PD. …”
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Trends and Gaps in Digital Precision Hypertension Management: Scoping Review by Namuun Clifford, Rachel Tunis, Adetimilehin Ariyo, Haoxiang Yu, Hyekyun Rhee, Kavita Radhakrishnan

“…Precision health strategies emphasizing predictive, preventive, and personalized care through digital tools offer notable opportunities to optimize the management of HTN. …”
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Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

“…In this study, we propose a Long Short-Term Memory (LSTM)-based heart beat prediction model using RR-Interval as features  and implement it on the Raspberry Pi device. …”
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Estimacão da qualidade industrial da batata (Solanum tuberosum L.) atraves do uso da isoenzima glutamato oxaloacetato transaminase by M.A. Andreu, A. da S. Pereira

“…The use of isoenzymes for a rapid prediction of these characteristics in tetraploid potatoes resulting in an increased selection efficiency by reducing the time required to get good results, was not completely explored yet. …”
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Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning by Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

“…The molecular optimization results of an activity prediction model targeting DRD2, AKT1, and CXCR4 revealed that TRACER effectively generated compounds with high scores. …”
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Different endovascular solutions for short, wide and conic shaped neck by Sinan Ozcelik, Murat Gevrek, Mehmet Ali Unal, Baran Karadeniz, Altay Alili, Naim Boran Tumer, Hakki Zafer Iscan

“…Hostile neck anatomy is the most important issue in prediction of outcomes of endovascular procedures. Surgeon modified fenestrated stent graft (SMFSG) may be an effective and available solution in proper patients by changing the proximal sealing of EVAR to the abdominal visceral aorta. …”
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REEXAMINING THE QUANTITY THEORY OF MONEY: AN EMPIRICAL ANALYSIS FROM THE JOINT HYPOTHESIS by Cheng-Wen Lee, Andrian Dolfriandra Huruta

“…Meanwhile, the joint hypothesis test demonstrated Strong Wald and Weak Wald test for the QTM prediction were rejected. These findings implied undesirable results from a monetarist perspective. …”
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A listening advantage for native speech is reflected by attention-related activity in auditory cortex by Meng Liang, Johannes Gerwien, Alexander Gutschalk

“…We interpret the findings to show that the stronger activity for native speech could be related to better top-down prediction of the native speech streams.…”
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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

“…The model that performs the best based on your performance measure becomes the last model, which can be utilized to make predictions on new data. With classification and regression prediction models it can be conducted by utilizing traditional machine learning and deep learning methods. …”
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REEXAMINING THE QUANTITY THEORY OF MONEY: AN EMPIRICAL ANALYSIS FROM THE JOINT HYPOTHESIS by Cheng-Wen Lee, Andrian Dolfriandra Huruta

“…Meanwhile, the joint hypothesis test demonstrated Strong Wald and Weak Wald test for the QTM prediction were rejected. These findings implied undesirable results from a monetarist perspective. …”
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Comparison of the Performance of Pegasos and Traditional Models in the Task of Sentiment Classification of Product Reviews by Zhu Di

“…Sentiment classification of a large number of commodity reviews is very important for customer selection and market trend prediction. The key to achieving high accuracy of sentiment classification is to select appropriate models for training. …”
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Estimation of Bearing Capacity from Dynamic Cone Penetration Test in 𝒄 − ∅ Soils in Kabale Municipality. by Nkwanzi, Lillian

“…An empirical relationship has also been obtained to predict bearing capacity using DPI and cohesion from DCP and shear strength tests respectively. …”
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Prompt Penetration Electric Fields and Ionospheric Effects of Major Geomagnetic Storms on Low Latitude Stations. by Talemwa, Gorretti

“…Findings contributed to understanding how geomagnetic disturbances influence ionospheric behavior, with implications for space weather prediction and the mitigation of disruptions to communication and navigation systems.…”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…Abstract Graduation predictions are required by the higher education institution preventive policies related to the early prevention of drop-out cases. …”
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Rekomendasi Pengembangan Fasilitas Wisata Tugu Pahlawan Surabaya Melalui Visualisasi Dashboard Hasil Klasifikasi Analisis Sentimen Ulasan Pengunjung by Fawwaz Roja Mahardika, Ahmad Afif Supianto, Nanang Yudi Setiawan, Raden Sandra Yuwana, Endang Suryawati

“…Prediction errors are more likely to be found in the neutral sentiment class. …”
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