A novel measurement system for unattended, in situ characterization of carbonaceous aerosols by A. Keller, P. Specht, P. Steigmeier, E. Weingartner

“…The metallic filter is robust, which solves filter displacement or leakage problems, and does not require a frequent replacement like other measurement techniques. …”
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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

“…Prompt detection and diagnosis are crucial in managing and averting these complications. …”
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Clinical and Epidemiological Manifestations of Ixodic Tick-Borne Borreliosis Foci in the Tomsk region by O. V. Voronkova, E. N. Ilyinskikh, A. A. Rudikov, T. N. Poltoratskaya, I. E. Esimova, L. V. Lukashova, M. R. Karpova

“…In the Tomsk region for many years, the average long-term incidence of Ixodic tick-borne borreliosis exceeds the Russian one by more than 3 times. Aim. Identify features the features of the clinical and epidemiological manifestations of the Ixodic tick borne borreliosis foci in the Tomsk region; to identify priority areas for carrying out problem-oriented research in the field of ecology, epidemiology and the clinic of borreliosis infection in the Tomsk region. …”
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Attention-fused residual transformer CNN for robust lower limb movement recognition by A. Anitha, D. Jeraldin Auxillia

“…Data augmentation is applied to create more samples for minority classes, addressing class imbalance problems and improving recognition reliability. The AF-RT-CNN architecture combines residual blocks, attention mechanism and Transformer Encoder aiding robust feature extraction, good generalization capability and pattern recognition. …”
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Orofacial Manifestation and Dental Management of Sickle Cell Disease: A Scoping Review by Mayank kakkar, Kristen Holderle, Megha Sheth, Szilvia Arany, Leslie Schiff, Adela Planerova

“…Sickle cell disease (SCD) is an upcoming global health problem with rapid progress in therapy especially since 2017. …”
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All-Optical Demodulation Fiber Acoustic Sensor With Real-Time Controllable Sensitivity Based on Optical Vernier Effect by Shuai Wang, Shun Wang, Rui-Bo Jin, Mingzhe Feng, Shun Wu, Liang Zhang, Peixiang Lu

“…This letter presents a fiber acoustic sensor with real-time controllable sensitivity based on the optical vernier effect, which is possibly a solution to such a problem. The optical vernier structure with amplified and real-time tunable detection sensitivity is formed by cascading a Sagnac interferometer and a laboratory-made tunable Fabry–Perot interferometer (FPI). …”
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Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

“…The proposed methodology makes use of data upsampled using the synthetic minority oversampling technique (SMOTE) to handle the class imbalance problem that is very crucial in medical diagnosing with a light gradient boosting machine. …”
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Review of dengue, zika and chikungunya infections in nervous system in endemic areas by Marzia Puccioni-Sohler, Cristiane Nascimento Soares, Paulo Pereira Christo, Sérgio Monteiro de Almeida

“…The emergence and re-emergence of viral infections transmitted by mosquitoes constitute a serious human public health problem. The neurological manifestations caused by these viruses have a high potential for death or sequelae. …”
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Viral gastroenteritis in children: modern concepts of epidemiology and prevention by K. D. Ermolenko, Yu. V. Lobzin, N. V. Gonchar

“…More than 60 original articles and reviews were analyzed in order to study the current state of the epidemiology and prevention of acute intestinal infections (AII) of viral etiology in the world. Interest in a problem of viral AII is determined by their widest prevalence and huge costs associated with the elimination of their consequences. …”
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Performance of five serological tests in the diagnosis of visceral and cryptic leishmaniasis: a comparative study by Martina Maritati, Alessandro Trentini, Gregory Michel, Stefania Hanau, Matteo Guarino, Roberto De Giorgio, Christelle Pomares, Pierre Marty, Carlo Contini

“… Introduction: Leishmaniasis is a major health problem and its diagnosis still represents a challenge. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…However, it's essential to match the type of learning method to the problem type, and extracting the information about the most important ROI connections might be challenging. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

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Molecular Diagnosis In Infectious Keratitis by Venkatesh Prajna N, Lokeshwari A, Lalitha Prajna

“…Microbial keratitis is a very important public health problem in our country. The magnitude of the burden of this problem is not often fully understood and hence it is often termed as a “silent epidemic”. …”
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STABILITY OF DEVELOPMENT OF FUTURE PROFESSIONALS’ EMOTIONAL INTELLIGENCE by A. M. Beloborodov, E. E. Symaniuk

“…Gilford’s Social Intelligence Test and also the authors’ set of toolkits (tasks for recognition of facial expression and detection of the active dictionary of emotions) were applied.Results and scientific novelty. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…A set of standard benchmark applications was used to determine the optimal parameters for the algorithms, which were then validated on two real-world application examples involving the detection of features in high-resolution PCB images. …”
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Current Scales and Questionnaires for Assessing Stress Conditions and Their Application in Medicine: a Review by Anna A. Kuzyukova, Yana G. Pekhova, Olga I. Odarushenko, Natalia A. Levchenko, Larisa A. Marchenkova

“…Stressful conditions are characterized by a high prevalence, which contributes to the high incidence of patients with vegeto-somatic symptoms of stress in non-psychiatric medical institutions, where the detection of these disorders is difficult. The search and development of optimal diagnostic methods for stress-related psychosomatic disorders remains a very important and urgent problem. …”
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Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Nuclei segmentation remains a challenging problem due to cancer biology and the variability of tissue characteristics; thus, their detection in an image is a very tedious and time-consuming task. …”
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The first experience of creating a mobile application for diagnosis and correction of nutritional deficiency in cancer patients by E. V. Kayukova, T. A. Ignatenko, V. A. Mudrov, L. F. Sholokhov

“…Nutritional deficiency is a problem that occurs in 30 % to 80 % of cancer patients, but is often undiagnosed. …”
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Preparation of PET matrix gradient composite fiber membrane for coal mine and Study on the dust filtration-moisture permeability by Gang ZHOU, Zhuo XU, Liwei JIANG, Guanshuang CHEN, Yunlong MA, Rulin LIU, Yongmei WANG

“…Meanwhile, the wettable diversion layers were added to construct the gradient polyethylene terephthalate (PET) based composite fibrous filter media, which might solve the difficult problems of preparation, poor skin affinity and insufficient comfort. …”
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