Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach by Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro

“…The objectives of this study were to create two predictive classification models to forecast the occurrence of a shot or a goal in the FIFA Women’s World Cup 2023 and to identify the associated technical-tactical indicators to these outcomes.MethodsA total of 2,346 ball possessions were analyzed using an observational design, mapping two different target variables (Success = Goal and Success2 = Goal or Shot) with a relative frequency of 1.28 and 8.35%, respectively. …”
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Accuracy of algorithms to identify patients with a diagnosis of major cancers and cancer-related adverse events in an administrative database: a validation study in an acute care h... by Takashi Fujiwara, Yasuyuki Okumura, Hironobu Tokumasu, Takashi Kanemitsu, Kosei Tajima, Akinori Yuri, Masahiro Iwasaku

“…Sensitivity and PPV for death were as follows: lung, 97.0% (84.2 to 99.9) and 100.0% (84.2 to 100.0); breast, 100.0% (1.3 to 100.0) and 100.0% (1.3 to 100.0); colorectal, 100.0% (28.4 to 100.0) and 100.0% (28.4 to 100.0); ovarian, 100.0% (35.9 to 100.0) and 100.0% (35.9 to 100.0); bladder, 100.0% (9.4–100.0) and 100.0% (9.4 to 100.0); prostate, 75.0% (19.4 to 99.4) and 100.0% (19.4 to 100.0). …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Results: Models showed strong performance on the retrospective TTE datasets (LVEF regression: root mean squared error (RMSE)=6.83%, 6.53%, and 6.95% for Rochester, Arizona, and Florida cohorts, respectively; classification of LVEF ≤40% versus LVEF > 40%: area under curve (AUC)=0.962, 0.967, and 0.980 for Rochester, Arizona, and Florida, respectively; age: RMSE=9.44% for Rochester; sex: AUC=0.882 for Rochester), and performed comparably for prospective HCU versus TTE data (LVEF regression: RMSE=6.37% for HCU vs 5.57% for TTE; LVEF classification: AUC=0.974 vs 0.981; age: RMSE=10.35% vs 9.32%; sex: AUC=0.896 vs 0.933). …”
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Epidemiological characteristics: traumatic cervical spinal cord injury in Wuhan-China by Ruba Altahla, Jamal Alshorman, Xu Tao

“…The ASIA grade B classification was also the most prevalent, observed in 29.6% of the patients. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

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Printed circuit board recycling: a focus on a novel, efficient and sustainable process for spent critical metals recovery by Charpentier, Nicolas M., Xia, Dong, Gabriel, Jean-Christophe P.

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Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models by Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao

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Clinical efficacy of hyaluronic acid in post-extraction sockets of impacted mandibular third molar by Sairan Khurshed Nariman, Reiadh Kamal AL-Kamali

“…Materials and Methods: A comparative study included 50 healthy patients were subdivided into two equal sub group, aged 18-35 years with impacted lower third molars type of impaction (class II; position B according to Pell–Gregory classification). …”
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Improved Ozone Level Detection through Feature Selection with Modified Whale Optimization Algorithm by Li Yu Yab, Noorhaniza Wahid, Rahayu A Hamid

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Assessing safety and efficacy of flexible ureteroscopy and laser lithotripsy in elderly patients by Jeffer D. Álvarez-Villarraga, Herney A. García-Perdomo, Héctor A. Ramírez-Vásquez, Jorge E. Palacios-Riascos, Andrea López-Sanmiguel

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Traumatic Brain Injury: Patient Characteristics, Hospital Costs and Trends Over Time by Pankaj A. Patel, Peter J. Mallow, Mary Vassar, John A. Rizzo, Bhavik J. Pandya, Denise T. Kruzikas

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The Cost of an Operating Room Minute for Heart Valve Procedures by Eugene A. Grossi, Matthew Moore, Peter J. Mallow, John A. Rizzo

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Anthropological Dimension of Commemorative Practices: The Phenomenon of Bodily Memory by I. M. Bondarevych

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Tourism-Induced Land Use Transformations, Urbanisation, and Habitat Degradation in the Phu Quoc Special Economic Zone by Can Trong Nguyen, Nigel K. Downes, Asamaporn Sitthi, Chudech Losiri

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Clinico-demographical Profile of Pelvis and Acetabular Fracture Presenting in Tertiary Care Center of Nepal: An Observational Study by Ranjib Jha, Santosh Thapa, Asish Rajthala

“…Thirty three (69%) patients required surgery, 17 (35%) patients had additional surgery for associated injury and 14 (29%) required intensive care unit admission. …”
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Nanopore sequencing of protozoa: Decoding biological information on a string of biochemical molecules into human-readable signals by Branden Hunter, Timothy Cromwell, Hyunjin Shim

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Development of an overarching framework for anticipating and assessing adverse and other unintended consequences of public health interventions (CONSEQUENT): a best-fit framework s... by Jan M Stratil, Eva A Rehfuess, Ani Movsisyan, Kathryn Oliver, Renke L Biallas

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Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal. by Susana Lavado, Eduardo Costa, Niclas F Sturm, Johannes S Tafferner, Octávio Rodrigues, Pedro Pita Barros, Leid Zejnilovic

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BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce by Muhammad Rizwan Rashid Rana, Asif Nawaz, Saif Ur Rehman, Muhammad Ali Abid, Mubariz Garayevi, Jana Kajanová

“…The results demonstrate the framework’s efficacy, achieving an impressive 93.35% accuracy rate, surpassing existing benchmark methods. …”
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Y-Shaped Bilateral Self-Expandable Metallic Stent Placement for Malignant Hilar Biliary Obstruction: Data from a Referral Center for Palliative Care by R. Di Mitri, F. Mocciaro

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