Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

“…Our sampling scheme has five key steps: data pre-processing, dominant pattern extraction by exploiting correlations between features, Hamming distance-based data classification into diverse and less diverse parts, data clustering for redundant-sample pruning from less diverse parts, and fine-tuning/synthesizing the final data. …”
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Measurement distance effects on $$\varvec{\phi}$$ -symmetric Taylor patterns with optimal transition integer $$\varvec{\overline{n}}$$ and with reduced inner sidelobes by Antón Torrado-Puime, María Elena López-Martín, Juan Antonio Rodríguez-González, Francisco José Ares-Pena

“…Additionally, modified circular Taylor $$\overline{n}$$ distributions featuring synthesized patterns with one or two depressed inner sidelobes, which have not been previously explored, are also examined.…”
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Impact of tertiary Gleason pattern 5 on prostate cancer aggressiveness: Lessons from a contemporary single institution radical prostatectomy series by Zachary B. Koloff, Daniel A. Hamstra, John T. Wei, Jeffrey S. Montgomery, Scott A. Tomlins, Angela J. Wu, Todd M. Morgan, Javed Siddiqui, Kellie Paich, Arul M. Chinnaiyan, Felix Y. Feng, Alon Z. Weizer, Lakshmi P. Kunju, Brent K. Hollenbeck, David C. Miller, Ganesh S. Palapattu, Rohit Mehra

“…Objective: To better evaluate tertiary Gleason pattern reporting and to evaluate the impact of tertiary Gleason pattern 5 (TP5) on prostate cancer pathological features and biochemical recurrence at our large single institution. …”
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Chalcones inhibit firefly bioluminescence dependent on A and B-ring substitution pattern – a structure-activity study combined with molecular docking by Corinna Urmann, Michael Kirchinger, Herbert Riepl

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Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury by Abrar Islam, Amanjyot Singh Sainbhi, Kevin Y. Stein, Nuray Vakitbilir, Alwyn Gomez, Noah Silvaggio, Tobias Bergmann, Mansoor Hayat, Logan Froese, Frederick A. Zeiler

“…Methods: Different summary and statistical measurements were used to describe RAP’s pattern and behaviors, along with performing sub-group analyses. …”
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Spatial Patterns of Land Take in a Mediterranean City: An Assessment of the SDG Indicator 11.3.1 in the Peri-Urban Area of Thessaloniki by Athena Yiannakou, George Zografos

“…Urban sprawl, characterized by continuous or discontinuous spatial patterns of artificial surface expansion, has been a common trend in most cities, even in those with longstanding compact features, such as cities in the northern Mediterranean region. …”
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Daily Activity Patterns and Overlap Activity of Medium–Large Mammals in Sülüklü Lake Nature Park, Western Black Sea Region, Türkiye by Fehmi Yildiz, Ali Uzun

“…However, information on these mammals' activity patterns and co‐occurrence, specifically in Türkiye, is limited. …”
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Online Reviews Meet Visual Attention: A Study on Consumer Patterns in Advertising, Analyzing Customer Satisfaction, Visual Engagement, and Purchase Intention by Aura Lydia Riswanto, Sujin Ha, Sangho Lee, Mahnwoo Kwon

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Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks by Zhenming Zhang, Yaojing Chen, Aidong Men, Zhuqing Jiang

“…This study aimed to evaluate brain activation patterns by analyzing functional magnetic resonance imaging (fMRI) time-series data collected during a designed N-back working memory task with varying cognitive demands. (2) Methods: We utilized a novel transformer model, blood oxygen level-dependent transformer (BolT), to extract the activation level features of brain regions in the cognitive process, thereby obtaining the influence weights of regions of interest (ROIs) on the corresponding tasks. (3) Results: Compared with previous studies, our work reached similar conclusions in major brain region performance and provides a more precise analysis for identifying brain activation patterns. …”
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A Global Review of Monitoring Cropland Abandonment Using Remote Sensing: Temporal–Spatial Patterns, Causes, Ecological Effects, and Future Prospects by Tao Liu, Le Yu, Xiaoxuan Liu, Dailiang Peng, Xin Chen, Zhenrong Du, Ying Tu, Hui Wu, Qiang Zhao

“…Using remote sensing methodologies to uncover the temporal–spatial patterns of cropland abandonment (CA) offers substantial advantages at both macro scales and in real time. …”
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The heterogeneous expression patterns of serum tumor markers in non-small cell lung cancer patients are predictive factors for progression-free survival by Siqi Li, Zihang Zeng, Zixi Hong, Jiali Li, Conghua Xie

“…The Self-organizing map algorithm was used to generate novel tumor marker patterns. We analyzed the association of these patterns with clinicopathological features and prognosis. …”
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Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma by Binfeng Liu, Shasha He, Chenbei Li, Zijian Xiong, Zhaoqi Li, Chengyao Feng, Hua Wang, Chao Tu, Zhihong Li

“…The nomogram, comprising the cell death score (CDS) and clinical features, exhibited excellent predictive performance. …”
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Penerapan Feature Engineering dan Hyperparameter Tuning untuk Meningkatkan Akurasi Model Random Forest pada Klasifikasi Risiko Kredit by Nadea Putri Nur Fauzi, Siti Khomsah, Aditya Dwi Putra Wicaksono

“…Feature engineering yang digunakan meliputi oversampling dan standardisasi. …”
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Seasonal Spatial Distribution Patterns of <i>Abralia multihamata</i> in the East China Sea Region: Predictions Under Various Climate Scenarios by Min Xu, Shuhao Liu, Chunhui Yang, Linlin Yang

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Spatiotemporal Distribution and Dispersal Pattern of Early Life Stages of the Small Yellow Croaker (<i>Larimichthys Polyactis</i>) in the Southern Yellow Sea by Xiaojing Song, Fen Hu, Min Xu, Yi Zhang, Yan Jin, Xiaodi Gao, Zunlei Liu, Jianzhong Ling, Shengfa Li, Jiahua Cheng

“…This study provides valuable insights for the effective management of fishery resources in the area and can be utilized to identify marine areas with specific habitat features that require conservation.…”
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Widefield indocyanine green angiography evaluating choroidal vein drainage pattern and choroidal vein alterations in acute and chronic central serous chorioretinopathy by Xinlei Hao, Guiqin He, Miaoling Li, Jiaxin Pu, Xuenan Zhuang, Yongyue Su, Xiongze Zhang, Feng Wen

“…The differences of choroidal features were compared between acute and chronic groups. …”
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Association between Objectively Measured Physical Activity and Gait Patterns in People with Parkinson’s Disease: Results from a 3-Month Monitoring by Micaela Porta, Giuseppina Pilloni, Roberta Pili, Carlo Casula, Mauro Murgia, Giovanni Cossu, Massimiliano Pau

“…Although physical activity (PA) is known to be beneficial in improving motor symptoms of people with Parkinson’s disease (pwPD), little is known about the relationship between gait patterns and features of PA performed during daily life. …”
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Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

“…However, the immunological pattern of a high peritumoral TLS (pTLS) density and its clinical potential in hepatocellular carcinoma (HCC) remain poor. …”
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Insider threat detection for specific threat scenarios by Tian Tian, Chen Zhang, Bo Jiang, Huamin Feng, Zhigang Lu

“…The multi-head attention mechanism simultaneously attends to multiple positions in the behavior sequence, capturing potential correlations between behaviors and user behavior patterns. This mechanism can analyze local information and obtain long-distance dependencies, providing depth feature representation for anomaly detection. …”
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IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

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