OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial by Xulong Qiu, Xulong Qiu, Jidi Chen, Jidi Chen, Muting Wang, Kaixin Zheng, Ruixiong Li

“…IntroductionCost-effectiveness analysis (CEA) serves as a critical tool to evaluate the economic sustainability of new treatments. However, many CEA tools are not specifically tailored to address the intricate cost composition resulting from the complex treatment regimens in oncology trials.MethodsWe extracted data from Kaplan-Meier (KM) curves, reconstructed individual patient data (IPD) using an iterative KM algorithm, and fitted parametric survival functions to the IPD data. …”
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Comprehensive analyses of telomerase component DKC1 and its association with clinical, molecular and immune landscapes in uterine corpus endometrial carcinoma by Chenxi Sun, Xu Liu, Tiantian Liu, Chenliu Fan, Yang Jiang, Binggen Li, Huiyang Yuan, Chengyun Zheng, Dawei Xu

“…Lower immune scores were observed in DKC1-high tumors as assessed by ESTIMATE algorithm. Tumor Immune Dysfunction and Exclusion (TIDE) analyses revealed robustly higher TIDE scores featured with T Cell exclusion in DKC1-high tumors, and consistently, the diminished trafficking of immune cells into tumor tissues and substantial declines in immune cell infiltration were shown in these tumors. …”
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COMPARISON OF CONSERVATIVE METHODS OF PREVENTION OF PATHOLOGICAL SCARING OF THE HEAD AND NECK by Ya. P. Nahirniy

“…Over the past decade, many high-quality studies have been conducted, increasing the level of evidence base for many prevention or treatment regimens. …”
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CARE to Compare: A Real-World Benchmark Dataset for Early Fault Detection in Wind Turbine Data by Christian Gück, Cyriana M. A. Roelofs, Stefan Faulstich

“…Early fault detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain-specific public datasets are scarce. …”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains. …”
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Model Selection Methods for Model-Bridge Simulation Calibration by Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki

“…Often, manual calibration is time-consuming, error-prone, and dependent on expert knowledge. Therefore, many algorithmic approaches have been explored, from heuristic-based and Bayesian methods to search and genetic algorithms. …”
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Linear Codes and Self-Polarity by Iliya Bouyukliev, Stefka Bouyuklieva, Mariya Dzhumalieva-Stoeva, Dushan Bikov

“…The possible parameters for which PSD codes may exist are presented, and many examples are provided. Algorithms for checking whether a <i>q</i>-ary linear code is self-polar are described. …”
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Control of Overfitting with Physics by Sergei V. Kozyrev, Ilya A. Lopatin, Alexander N. Pechen

“…While there are many works on the applications of machine learning, not so many of them are trying to understand the theoretical justifications to explain their efficiency. …”
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Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting by Joseline Sánchez-Solís, Marvin Coto-Jiménez

“…The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems. …”
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Computer Science in Sport – Research and Practice: A book review by Stuart Morgan

“…Keeping pace with new technological innovations requires a thorough and systematic understanding of many diverse topics from computer programming, to database design, machine learning algorithms and sensor technology. …”
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Review of Automatic Estimation of Emotions in Speech by Douglas O’Shaughnessy

“…Identification of emotions exhibited in utterances is useful for many applications, e.g., assisting with handling telephone calls or psychological diagnoses. …”
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Ambulatory Oxygen for Pulmonary Fibrosis (OxyPuF): a randomised controlled trial and acceptability study by Rachel L Adams, Alisha Maher, Nicola Gale, Anjali Crawshaw, David Thickett, Alice M Turner

“…Idiopathic pulmonary fibrosis is thought to be responsible for as many as 1 in 100 deaths in the United Kingdom, killing 5300 people a year. …”
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El método de elementos finitos como alternativa en el cálculo de engranajes. // The finite elements method as altenative in gear design. by G. González Rey, P. Frechilla Fernández, R. José García Martín

“…</p><p>___________________________________________________________________________</p><p>Abstract:<br />Although the optimization and rational design of gears have been topics of many studies, they still continue being of<br />interest for many gear specialists. …”
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Applications of artificial intelligence in regenerative dentistry: promoting stem cell therapy and the scaffold development by Elham Saberian, Andrej Jenča, Andrej Jenča, Hadi Zare-Zardini, Mohammad Araghi, Adriána Petrášová, Janka Jenčová

“…In recent times, artificial intelligence, particularly neural networks, has emerged as a topic of considerable attention among many medical professionals. Artificial intelligence possesses the capability to analyze data patterns through learning algorithms. …”
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Android Malware Category and Family Identification Using Parallel Machine Learning by Ahmed Hashem El Fiky, Mohamed Ashraf Madkour, Ayman El Shenawy

“…The paper ex-periments with many machine learning algorithms and compares the proposed model with the most recent related work.  …”
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A team-based multitask data acquisition scheme under time constraints in mobile crowd sensing by Zhaohua Zheng, Zhaobin Qin, Keqiu Li, Tie Qiu

“…We conducted extensive experiments based on a real large-scale dataset to evaluate the four algorithms' performances compared to two baseline algorithms (T-Random and T-most). …”
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Using Adaptive Content Recommendations to Improve Logic and Programming Teaching and Learning by Aluizio Haendchen Filho, Adson Marques da Silva Esteves, Hércules Antonio do Prado, Edilson Ferneda, André Luis Alice Raabe

“…The high dropout rate in Information Technologies courses is a relevant problem in many countries, mainly because of the increasing demand for professionals in this sector. …”
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Exploring biomarkers and molecular mechanisms of Type 2 diabetes mellitus promotes colorectal cancer progression based on transcriptomics by Simin Luo, Yuhong Zhu, Zhanli Guo, Chuan Zheng, Xi Fu, Fengming You, Xueke Li

“…Abstract Type 2 diabetes mellitus (T2DM) has been confirmed as an independent risk factor for colorectal cancer (CRC) in many studies. However, the mechanisms behind T2DM’s role in the progression of CRC remain unclear. …”
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Transcriptome analysis of Petunia axillaris flowers reveals genes involved in morphological differentiation and metabolite transport. by Ikuko Amano, Sakihito Kitajima, Hideyuki Suzuki, Takao Koeduka, Nobukazu Shitan

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Estuarine crocodiles in a tropical coastal floodplain obtain nutrition from terrestrial prey. by Maria Fernanda Adame, Timothy D Jardine, Brian Fry, Dominic Valdez, Garry Lindner, Jonathan Nadji, Stuart E Bunn

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