Endoscopic Decompression for Haglund’s Deformity: Outcomes and Efficacy by Rajat Kapoor, Brijesh Sharma, Chandra Prakash Pal, Yashvardhan Sharma

“…Endoscopic decompression has emerged as a minimally invasive alternative to traditional open surgery for addressing this condition. …”
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Nasopharyngeal Coil Dislocation of an Embolized Internal Carotid Artery Pseudoaneurysm by Nazli Ay, Ingo Todt, Holger Sudhoff

“…This case report highlights the possibility of a nasopharyngeal coil dislocation of an embolized internal carotid artery aneurysm emerging as a nasal foreign body.…”
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Implications of noncoding RNAs for cancer therapy: Are we aiming at the right targets? by Amil Shah

“…Recently, the noncoding RNAs (ncRNAs) have emerged as key regulators of important cellular processes in addition to the known regulatory proteins. …”
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LA ENSEÑANZA DE LOS DERECHOS HUMANOS, FACTOR CLAVE EN LA EDUCACIÓN DEL SIGLO XXI by Parada Ortega Eddy

“…Se concluye que la educación en derechos humanos emerge como un pilar fundamental para abordar los desafíos que enfrenta la humanidad. …”
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The 3Cs in Volunteerism: Proposing a Model of Service-Learning in Education by Edwin B. Estrera

“…Curriculum strategies on social justice in education often focus on classroom management and technology integration, which may be surface-level approaches. Emerging trends include project-based learning and community partnerships for students to address real-world problems; as such, selected courses employ service-learning as a method of volunteerism. …”
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A Data-Driven Method for Supporting Self-Adapt Large-Scale Group Decision-Making: A Case Study on Resilient Design of Firm’s Product by Houxue Xia, Mingwei Liu, Jingyao Jiao, Huagang Tong, Haifeng Zhang

“…Large-scale group decision-making (LSGDM) has emerged as a prominent research area in various domains, such as high technology and complex engineering problems. …”
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Impact of Driver Age and Behavior on the Effectiveness of ADAS in Cyclist Safety on Rural Roads: A Simulator Study by Nouman Usama, Ahmed M. Al-Wathinani, Krzysztof Goniewicz, Sami Babar

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The good, the better and the challenging: Insights into predicting high-growth firms using machine learning by Sermet Pekin, Aykut Şengül

“…Furthermore, our findings reveal that growth opportunity emerges as the most significant factor in our study. …”
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Harnessing the AI/ML in Drug and Biological Products Discovery and Development: The Regulatory Perspective by Fahimeh Mirakhori, Sarfaraz K. Niazi

“…AI’s rapid advancement has revealed regulatory gaps as existing public policies struggle to keep pace with the challenges posed by these emerging technologies. The term AI itself has become commonplace to argue that greater “human oversight” for “machine intelligence” is needed to harness the power of this revolutionary technology for both potential and risk management, and hence to call for more practical regulatory guidelines, harmonized frameworks, and effective policies to ensure safety, scalability, data privacy, and governance, transparency, and equitable treatment. …”
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Enhancing Disaster Diplomacy between Indonesia and Turkey: A Study on the Roles of Non-State Actors in Collaborative Governance during the 2023 Earthquake by Siti Malaiha Dewi, Umi Qodarsasi

“…Disaster diplomacy, the strategic use of humanitarian aid and disaster relief to strengthen diplomatic relations, emerged as a crucial element in international politics, particularly in the aftermath of natural disasters. …”
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Adoption intensity of soil and water conservation techniques in Burkina Faso is influenced by farmers’ preferences for their attributes by Hadji Adama Ouédraogo, Youmanli Ouoba

“…In Burkina Faso, efforts to reduce this environmental issue has emerged since several decades. However, most of the techniques developed are rarely adopted by farmers. …”
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Is the Dog a Possible Reservoir for Cutaneous Leishmaniasis in Suriname? by Alida Kent, Prakash Ramkalup, Dennis Mans, Henk Schallig

“…Cutaneous leishmaniasis (CL) is an emerging disease in Suriname, with at least 200 cases per year. …”
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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…The review navigates difficulties associated with the integration of soft computing in civil engineering and expands its scope to include emerging research directions. This synthesis of advanced artificial intelligence (AI) serves as a guide, providing new researchers with knowledge about a developing field. …”
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Irreversibility in non-reciprocal chaotic systems by Tuan Minh Pham, Albert Alonso, Karel Proesmans

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Integrated cancer cell-specific single-cell RNA-seq datasets of immune checkpoint blockade-treated patients by Mahnoor N. Gondal, Marcin Cieslik, Arul M. Chinnaiyan

“…Abstract Immune checkpoint blockade (ICB) therapies have emerged as a promising avenue for the treatment of various cancers. …”
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Extraction and Analysis of Xylitol in Sugar-Free Gum Samples by GC-MS with Direct Aqueous Injection by Suranga M. Rajapaksha, Katherine Gerken, Todd Archer, Patty Lathan, Achala S. Liyanage, Deb Mlsna, Todd E. Mlsna

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The Usefulness of Intrapartum Transperineal Ultrasonography for the Prediction of Mode of Delivery by Erdinc Saridogan, Ozlem Moraloglu Tekin

“…The receiver operating characteristics curve showed that measurement of angle of progression with <110.5 degrees (p=0.001) and measurement of head-perineum distance with >52.5 millimeters (p=0.001) were associated with emergent cesarean delivery. For the prediction of delivery mode, both angle of progression and head-perineum distance had high sensitivity and specificity. …”
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Russian manufacturing industry development in the context of import substitution by I. V. Davletshina

“…This article attempts to identify and critically evaluate both existing and emerging strategic directions required to upgrade the nation’s industrial machinery to ensure its operational efficiency in the present circumstances. …”
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Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

“…Early detection is essential, but the excessive-pressure environment of emergency rooms can stress clinical personnel. Suggest a machine learning-based support vector machine (ML-SVM) technique to address this. …”
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Quantum state engineering and photon statistics at electromagnetic time interfaces by M. S. Mirmoosa, T. Setälä, A. Norrman

“…However, compared with the research efforts and progresses that have taken place in the realm of classical electrodynamics, the quantum aspects of this emerging subject have been less explored. Here, through the lens of quantum optics, we study the scattering of electromagnetic fields from an isotropic and nondispersive material with a suddenly changing refractive index, creating a time interface. …”
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