Memoryscapes of the Great War (1914-1918): A paradigm shift in tourism research on war heritage by Myriam Jansen-Verbeke, Wanda George

“…Since tourism has become an important partner and stakeholder in the process of revalorizing the past, the focus is on the current practices of selecting and (re) creating memoryscapes of the Great War (1914-1918). Strongly based on remembrance, narratives and multiple images of the war, evoked by the centennial ‘hype’ in events and media attention, numerous places with tangible and/or reconstructed war heritage are now marked on the tourist map. …”
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Impact of Mn/Co substitution on magnetoelectric and structural properties of ZnO nanostructures thin films by Ángela P. Lanchero, Lina F. Prieto, Heiddy P. Quiroz, Jorge A. Calderón, A. Dussan, F. Mesa

“…Electrical measurements revealed unipolar and bipolar resistive switching (RS) behaviors, associated with the Schottky barrier model, and strongly influenced by substrate temperature and doping levels. …”
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Non‐Invasive Tumor‐Naïve Minimal Residual Disease Detection of Liver Cancer by Incorporating Circulating Tumor DNA Features and Alpha‐Fetoprotein: A Prospective Study by Qingqi Ren, Shiyong Li, Guolin Zhong, Yunfei Li, Dao‐Ling Huang, Liangliang Zhang, Yumin Feng, Guanghui Long, Mao Mao

“…Minimal residual disease (MRD) is strongly linked to liver cancer early recurrence. Identifying MRD through reliable prognostic biomarkers, such as circulating tumor DNA (ctDNA), could significantly benefit these patients by enabling timely intervention and improved outcomes. …”
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Histological risk score and its role in predicting recurrence in early-stage oral squamous cell carcinomas by Daphne Fonseca, Rashmi Khemani, Mohan K. Pasam, Ravindranath Tagore, B. Vishal Rao, Suseela Kodandapani, Chandrasekhara Rao, K. V. V. N. Raju, T Subramanyeshwar Rao

“…Univariate analysis identified LVI (P < 0.00001), DOI (P < 0.00001), nodal involvement (P < 0.00001), worst pattern of invasion (WPOI) (P < 0.00001), lymphocytic host response (LHR) (P = 0.004), perineural invasion (PNI) (P = 0.012) as strong statistically significant risk factors for LRR. …”
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Evaluation of immunohistochemical expression of novel neuroendocrine marker INSM1 and histological tumor growth pattern in well-differentiated neuroendocrine tumors of the appendix... by Ali Koyuncuer, Tolga Canbak, Aylin Acar, Onur Şahin

“…INSM1 was positive in all cases (100%), 1+ 8.6%, 2+ 5.7%, 3+ 17.1%, 4+ 68.6%, weak staining in 11.4%, moderate staining in 22.9%, and strong staining in 67.7%. Type A histological growth pattern was observed in 54.3%, type B in 31.4%, and type C in 14.3% architecturally. …”
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Evolving dynamics of E-learning in dental education in the post-COVID-19 era: Insights from the Mumbai Metropolitan Region by Mithileshwari Bajirao Patil, Manisha Sardar Ahire, Jagdish Tupkari, Nivedhitha Maraimalai

“…Furthermore, there was a preference for visual case presentations and a strong inclination toward offline clinical postings, indicating pedagogical preferences. …”
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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

“…This advantage is mainly attributed to its strong generalization ability, nonlinear processing ability, and the ability to optimize and adapt to the feature space. …”
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Effects of farming specialisation on grassland birds in Mediterranean High Nature Value farmland by Joana Santana, Pedro J. Leitão, Paulo Flores Ribeiro, Pedro Beja, Ângela Lomba, Rui Pedroso, Rui Morgado, Ricardo C. Martins, Inês Catry, Ana Teresa Marques, Luís Reino, Francisco Moreira

“…The specialised crop system, when associated with olive groves (< 10 % of the area), was negatively related to fallow-related species, M. calandra and Calandrella brachydactyla and positively so to overall species richness and that of woodland/shrubland-related species. Land uses had strong effects on birds, regardless of the farming systems in which they were embedded. …”
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The Arab world on the verge of the energy transition: Challenges, ambitions, and limits to growth by A. O. Filonik, V. N. Baturina

“…However, the authors emphasize that the main obstacle to a coherent and effective climate policy for the entire Arab East stems from strong disproportions in economic development of the regional actors. …”
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How to Utilize CAT and mMRC Scores to Assess Symptom Status of Patients with COPD in Clinical Practice? by Esra ERTAN YAZAR, Elif Yelda NIKSARLIOGLU, Burcu YIGITBAS, Mesut BAYRAKTAROGLU

“…Results: Two hundred twenty eight patients with stable COPD, mean age 64.2+-8.2 and 88.6% male were included. A strong positive correlation was detected between CAT and mMRC (r=0.60, p&lt;0.001). …”
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Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

“…This research has significant application prospects in forest fire early warning, emergency response, and loss reduction, while also providing strong technical support for forest resource protection and public safety.…”
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Understanding the maternal-infant nexus from dental histology and high-resolution compositional biogeochemistry: implications for bioarchaeological research by Alessia Nava

“…Furthermore, because human growth and development, from the earliest phases of ontogenesis, correlate strongly with dietary patterns, laser-based biogeochemical analyses of dental enamel can also be used to reconstruct the maternal diet – including during pregnancy – nursing practices and mobility patterns at very high temporal resolution. …”
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A temporal knowledge graph reasoning model based on recurrent encoding and contrastive learning by Weitong Liu, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Meizhen Liu, Xuechen Zhao

“…When compared to the strong baseline Time-Guided Recurrent Graph Network (TiRGN) model, the proposed TRCL achieves 1.03% improvements on ICEWS14 using mean reciprocal rank (MRR) evaluation metric. …”
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Determinants of Implementation of Evidence-Based Practice in Clinical Decision-Making among Nurses in Primary Health Care Facilities by Opeoluwa Oluwatoyin Olabode, Funmilayo A. Okanlawon, Emmanuel O. Adesuyi, Oluwadamilare Akingbade, Chinomso Nwozichi, Yetunde Olufunmilayo Tola

“…The study revealed that 73.7% of respondents demonstrated a strong knowledge of EBP in CDM, with the highest levels reported among ward managers. …”
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The sarcoma ring trial: a case-based analysis of inter-center agreement across 21 German-speaking sarcoma centers by Siyer Roohani, Jolina Handtke, Kamal Hummedah, Markus Albertsmeier, Dimosthenis Andreou, Leonidas Apostolidis, Marinela Augustin, Sebastian Bauer, Moritz Billner, Florian Bösch, Christoph K. W. Deinzer, Niklas Deventer, Anna Duprée, Franziska Eckert, Lars Engel, Katja Fechner, Hagen Fritzsche, Verena Gaidzik, Saeed Ghani, Robert Grützmann, Wiebke K. Guder, Rainer Hamacher, Judith S. Hecker, Anne Hendricks, Axel Hillmann, Philipp Houben, Georg Hübner, Philipp Ivanyi, Christina Jentsch, Maren Jordan, Peter Kappl, Moritz Kaths, Torsten Kessler, Johanna Kirchberg, Carolin Knebel, Robert Krempien, Burkhard Lehner, Ulrich Lenze, Lars H. Lindner, Alisa Martina Lörsch, Nadia Maguire, Sophie Müller, Pompiliu Piso, Vlatko Potkrajcic, Peter Reichardt, Stephan Richter, Simone Schewe, Lars M. Schiffmann, Felicitas Scholten, Jana Käthe Striefler, Matthias Schwarzbach, Katharina Seidensaal, Sabine Semrau, Joanna Szkandera, Christoph J. Szuszies, Beate Timmermann, Armin Tuscherer, Armin Wiegering, Moritz T. Winkelmann, David Kaul, Jens Jakob

“…Our study includes nearly all tertiary sarcoma centers in German-speaking countries, affirming its strong external validity. These findings suggest potential and clinically very relevant differences in treatment standards among sarcoma centers. …”
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Comparison Of Knowledge and Attitude Towards Chat GPT In First and Final-Year Dental Students by Sadia Naureen, Huma Ghazanfar Kiani, Nadia Naureen, Mahnoor Shafique

“…Conclusion: These results highlight that there is a strong need to improve knowledge and a positive attitude towards the use of AI tools like Chat-GPT in dental students. …”
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Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study by Nan Li, Chenbing Liu, Zhangfan Lu, Wenjian Wu, Feng Zhang, Lihong Qiu, Chao Shen, Di Sheng, Zhong Liu

“…The elements were determined to be crucial for creating a risk prediction model. The model showed strong discriminative potential with a C-index of 0.783 and the time-dependent AUCs of 0.781, 0.789, 0.814 and 0.796 for 1–4 years in the training group, and a C-index of 0.788 and the time-dependent AUCs of 0.798, 0.782, 0.787 and 0.825 for 1–4 years in validation. …”
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Ulul Albab’s Paradigm Approach to Post-Conventional Legal Culture of Consumers in Indonesia by Faishal Agil Al Munawar, Dwi Hidayatul Firdaus, Musataklima Musataklima

“…Thirdly, the proposed reconstruction of Indonesia's consumer legal culture based on the Ulul Albab paradigm aims to empower consumers through tarbiyah ulul albab, cultivating individuals with comprehensive knowledge, strong moral values, and a robust social conscience.…”
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Non-parametric Statistical Methods to Predict the Benefits of Switching to E-learning, by Application on Saudi Universities by Afrah Yahya AL Alrezami

“…The most significance indicators related to the challenges, are (e-learning prompted students not to underestimate the education, the professor can identify the negative student, the university provides a virtual library, I have get sufficient training , indirect communication does not affect the understanding , virtual laboratories have been activated,  there is no difficulty in submitting exams , the internet is strong in my area,  virtual classes are more effective,  e-learning helps in exchanging assignments, and the university provides technical support). …”
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Herbicidal and Antibacterial Secondary Metabolites Isolated from the <i>Nicotiana tabacum</i>-Derived Endophytic Fungus <i>Aspergillus japonicus</i> TE-739D by Haisu Wang, Xiaolong Yuan, Xinrong Huang, Peng Zhang, Gan Gu

“…Moreover, compound <b>4</b> demonstrated strong antibacterial effects against the pathogens <i>Bacillus cereus</i> and <i>Bacillus subtilis</i>, with a comparable MIC value of 16 μg/mL to the positive control chloramphenicol. …”
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