Alternative disease management strategies for organic apple production in the United Kingdom by Lucas Alexander Shuttleworth

“…However, a warming planet and more unpredictable weather patterns may favour range expansion of pathogens, while increasing plant stress and susceptibility. …”
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Macroeconomic Effects of Oil Price Shocks in the Context of Geopolitical Events: Evidence from Selected European Countries by Mariola Piłatowska, Andrzej Geise

“…However, with various volatile changes in the international situation in recent years, such as threats to public health and an increase in regional conflicts, special attention has been paid to the geopolitical context as an additional driver of oil price fluctuations. …”
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Is Brazil reaching malaria elimination? A time series analysis of malaria cases from 2011 to 2023. by Klauss Kleydmann Sabino Garcia, Seyi Soremekun, Amanda Amaral Abrahão, Paola Barbosa Marchesini, Chris Drakeley, Walter Massa Ramalho, André M Siqueira

“…This study aims to analyse epidemiological patterns of malaria in Brazil to discuss if Brazil is on track to meet malaria control targets. …”
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A Statistical Analysis of Excess Mortality Mean at Covid-19 in 2020-2021 by Md Nurul Raihen, Sultana Akter, Fariha Tabassum, Farjana Jahan, Shakera Begum

“…Excess mortality occurs when actual deaths exceed previous data or recognized patterns. It could demonstrate how a pandemic affected mortality rate. …”
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A novel data-driven model to define physical activity metrics and predict mortality in patients with chronic obstructive pulmonary disease by Qichen Deng, Alex van ’t Hul, Hieronymus van Hees, Remco Djamin, Anouk W. Vaes, Martijn A. Spruit

“…A total of 404 COPD patients (51.5% female; median [IQR] age: 57 [46–66] years) were included. The proposed PA score and step count exhibited similar daily patterns but differed significantly in distribution. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…The field of dermatology has seen a change in recent years due to the convergence of artificial intelligence and medicine, which has produced creative methods for computer-aided diagnostics. …”
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Motives for new psychoactive substances consumption among young adults in Uzbekistan: a qualitative study protocol by Guzalkhon A. Zakhidova, Uladzimir I. Pikirenia, Timur S. Syunyakov, Mariya V. Prilutskaya

“…EXPECTED RESULTS: The study will identify the key motives of NPS use, usage patterns, and social and medical barriers of help-seeking. …”
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Agreement Between Medico-Administrative Database Algorithms and Survey-Based Diagnoses for Depression and Anxiety in Older Adults by Giraud Ekanmian, Carlotta Lunghi, Helen-Maria Vasiliadis, Line Guénette

“…Despite these discrepancies, algorithms with high specificity provide valuable insights into healthcare utilization patterns associated with these disorders.…”
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Barriers and perceptions of WHONET/BacLink adoption in Nepal: A qualitative study of clinical microbiology laboratories. by Sanju Maharjan, Patrick Gallagher, Manish Gautam, Sanjay Gautam, Manisha Budhathoki, Reena Mukhiya, Smirti Kattel, Amit Bhandari, Hea Sun Joh, Ahmed Taha Aboushady, Raphaël M Zellweger, Madan Kumar Upadhyaya, Runa Jha, Jyoti Acharya, William R MacWright, Florian Marks, John Stelling, Nimesh Poudyal

“…<h4>Background</h4>The International Vaccine Institute-led CAPTURA (Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia) project delivered capacity building activities to strengthen antimicrobial resistance surveillance activities in Nepal.…”
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Time series analysis of malaria in pregnancy, using wavelet and SARIMAX models. by Dolapo Oluwaseun Oniyelu, Olaiya Folorunsho, Lawrence Adewole, Emmanuel Afolabi Bakare, Chukwu Okoronkwo, Nelson Eze, with ICAMMDA Team

“…This study objectives were to assess MIP variability compared to general malaria cases, and forecast short-term MIP incidence over two years. This was achieved by analyzing malaria in pregnancy (MIP) variability across Nigeria from January 2015 to January 2025, using wavelet coherence, patterns of transmission cycles and selecting best modelling approach by comparing ARIMA and SARIMAX models to assess temporal trends before the forecast of short-term MIP incidence. …”
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Multi-session adaptation to audiovisual and sensorimotor biofeedback is heterogeneous among adolescents with cerebral palsy. by Alyssa M Spomer, Benjamin C Conner, Michael H Schwartz, Zachary F Lerner, Katherine M Steele

“…In-session soleus adaptation had a moderate positive correlation with short-term retention of the adapted gait patterns (0.40 ≤ ρ ≤ 0.81), but generally weak correlations with baseline walking function (GMFCS Level) and motor control complexity (ρ ≤ 0.43). …”
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Speech and swallowing characteristics in patients with facioscapulohumeral muscular dystrophy by Vanessa Brzoskowski dos SANTOS, Jonas Alex Morales SAUTE, Laís Alves JACINTO-SCUDEIRO, Annelise AYRES, Rafaela Soares RECH, Alcyr Alves de OLIVEIRA, Maira Rozenfeld OLCHIK

“…Objective: To investigate speech and swallowing patterns in FSHD and assess the correlation with clinical data. …”
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The development of modern-day competences in education, in the context of an agile approach by János Varga, Ágnes Csiszárik-Kocsir, Mónika Garai-Fodor

“…The messages and lessons from various studies and articles suggest that many individuals are not adequately prepared for these challenges, for a variety of reasons. Inherited patterns, lack of awareness-raising, some aspects of exclusion are all factors working against the process, which is also influenced by the openness, receptiveness and willingness of individuals to embrace new things. …”
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Clinical and pathological analysis of primary well-differentiated neuroendocrine tumors in the kidney- a case series by Dan Yuan, Jing Wu, Dong-Yue Wang, Jin-Jing Wang

“…Microscopic findings: Characteristic trabecular/rosette-like patterns, uniform cells with “salt-and-pepper” chromatin, and rare mitotic activity. …”
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Motivation to practice health-oriented physical activity: a comparative study among university students from three countries with different cultures by Pablo Prieto-González, Ausel Rivera-Villafuerte, Umut Canli

“…Conclusion Despite cultural differences, common motivational patterns for physical activity were identified, emphasizing the universal value of health and well-being goals. …”
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Assessing the role of meat consumption in human evolutionary changes. A review by N. A. Gorbunova

“…The historical study of changes in food patterns is an integral part of the study of biological and social adaptations during the formation and further development of Homo sapiens species. …”
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Epilepsy in Cerebral Palsy: Unraveling Prevalence, Risk Factors, and Subtype Associations in a Large-Scale Population Study by Reem Abdullah Alyoubi, Ahmed Abu-Zaid

“…<i>Materials and Methods</i>: The study employed the National Inpatient Sample (NIS) database (2016–2019, four years). CP patients were identified through ICD-10 codes, excluding non-CP patients and those with missing values. …”
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Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

“…But the most important finding of the current research, which was obtained based on clustering analysis and knowledge map analysis, shows that the field of urban data mining has five subfields or main structural components: 1-Analysis of urban systems and smart cities, 2- Modeling and data analysis framework, 3- identifying patterns and predicting them along with visualization techniques, 4- big data and social media, 5- urban big data and traffic network; Of these, urban big data analysis is more recent than other sub-structures, and research in this field is mostly related to the years 2022 and 2023.…”
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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…Finally, a GCN model integrates these time-frequency features with topological patterns from the connectivity matrix for ADHD classification.ResultsEvaluated on two EEG datasets, the proposed method achieved average accuracies of 97.29% and 96.67%, outperforming comparative models (XGBoost, LightGBM, AdaBoost, random forest). …”
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Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learning by René Steinmann, Tarje Nissen‐Meyer, Fabrice Cotton, Frederik Tilmann, Beth Mortimer

“…While the different wildlife categories display different footfall patterns, local geological conditions known as site effects significantly alter the frequency content of those signals. …”
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