Coexistence or a related condition: an infant with retinoblastoma and Gaucher disease by Burcu Berberoğlu-Ateş, Ali Varan, Hülya Demir, Canan Akyüz, Aysel Yüce

“… Gaucher disease (GD) is the most prevalant lysosomal lipid storage disease that results from loss of function of acid β-glucosidase due to mutations in the glucocerebrosidase gene. Common features of all types of GD include hepatosplenomegaly, cytopenia, and various patterns of bone and lung involvement. …”
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Fifteen Years of Non-Hodgkin Lymphoma in an Indonesian National Referral Hospital: Epidemiologic Trends and Diagnostic Challenges by Agnes Stephanie Harahap, Maria Francisca Ham, Andree Kurniawan, Stefanny Charles, Felix Wijovi, Lugyanti Sukrisman

“…The overall epidemiologic pattern of NHL in this study aligns with the results observed in other Asian countries. …”
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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…The superior performance of deep learning methods underscores the value of temporal pattern recognition in sleep quality assessment, paving the way for proactive sleep health management in everyday life.…”
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Providing a model of purchase intention and customer experience on customer behavior in virtual networks by Kazem Tolooee, Hossein budaghi Khajeh Noubar, Hossein Gharehbiglo, Mojtaba Ramazani

“…The collection tool in this research includes a questionnaire of purchase intention pattern based on customers' experience in designed virtual networks. …”
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Early Digital Engagement Among Younger Children and the Transformation of Parenting in the Digital Age From an mHealth Perspective: Scoping Review by Nafisa Anjum, Md Mehedi Hasan, Nursat Jahan, Sheikh Iqbal Ahamed, Allison Garefino, Nazmus Sakib

“…Synthesized data were scrutinized to detect patterns, variances, and reasonable recommendations. …”
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Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression by Wenfeng Feng, Runlong Lin, Wenzhe Zhao, Haifeng Cai, Jingwu Li, Yongliang Liu, Lixiu Cao, Lixiu Cao

“…Clinical and CT features were analyzed, and a predictive model was developed based on independent risk features for small thymomas using multivariate LR in the training set. …”
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Gut mycobiome maturation and its determinants during early childhood: a comparison of ITS2 amplicon and shotgun metagenomic sequencing approaches by Timothy Heisel, Sara Gonia, Abrielle Dillon, Susan L. Hoops, Gabriel A. Al-Ghalith, Daryl Gohl, Sagori Mukhopadhyay, Karen Puopolo, Peter Kennedy, Michael J. Sadowsky, Dan Knights, Dan Knights, Abigail J. Johnson, Jeffrey S. Gerber, Cheryl A. Gale

“…The relatively smaller contribution of fungi to the gut microbiome, as compared to bacteria, has posed technical challenges for the precise characterization of fungal communities (mycobiomes) and limited the ability to longitudinally examine mycobiome development.BackgroundThe aims of this study were to (1) characterize mycobiome maturation and identify clinical determinants of mycobiome compositional variation during the first 2 years of life and (2) compare two sequencing approaches (ITS2 amplicon and whole genome metagenomics) for characterizing mycobiome maturational features. …”
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Morphological markers of secretory activity in prostatic adenocarcinoma by Janković-Veličković Ljubinka, Katić Vuka, Ignjatović Ivan

“…Histological diagnosis of prostate cancer relies on the infiltrative growth pattern, presence of macronucleoli, and absence of basal cell layer. …”
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Distributed denial-of-service (DDoS) on the smart grids based on VGG19 deep neural network and Harris Hawks optimization algorithm by Abdurahim Alhashmi, H. Idwaib, Selçuk Alparslan Avci, Javad Rahebi, Raheleh Ghadami

“…The suggested approach uses the robust feature extraction capability of VGG19-DNN for network traffic pattern analysis to detect abnormal traffic flows indicative of DDoS attacks. …”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

“…Third, we implement a hierarchical feature interaction mechanism that enables both explicit and implicit learning of high-order patterns, resulting in a 35% improvement in anomaly pattern recognition over traditional deep learning approaches. …”
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Diagnostics and treatment of gastroesophageal reflux disease: clinical guidelines of the Russian gastroenterological association by V. T. Ivashkin, I. V. Mayev, I. . A.s. Trukhmanov, Ye. K. Baranskaya, O. B. Dronova, O. V. Zayratyants, R. G. Sayfutdinov, A. A. Sheptulin, T. L. Lapina, S. S. Pirogov, Yu. A. Kucheryavy, O. A. Storonova, D. N. Andreyev

“…The treatment of GERD has to be individualized according to the pattern and severity of clinical symptoms. The goal of treatment is symptom relief, at erosive esophagitis - healing of erosions and complication prevention, at Barret's esophagus - prophylaxis of disease progression and dysplasia and adenocarcinoma development. …”
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SLAMF receptors: key regulators of tumor progression and emerging targets for cancer immunotherapy by Jia Li, Tao Fan, Di Wang, Chu Xiao, Ziqin Deng, Wenpeng Cai, Yu Ji, Chunxiang Li, Jie He

“…Abstract The signaling lymphocytic activation molecule family (SLAMF) consists of nine distinct cell surface receptors predominantly expressed on immune cells, each characterized by unique structural features, expression patterns, downstream signaling pathways, and biological functions. …”
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CINEMA SPACES: AN IMAGINATIVE WORLD OF THE CULTURAL LANDSCAPE. REVIEW OF THE 6TH INTERNATIONAL SCIENTIFIC CONFERENCE “GEOGRAPHY OF ART” / ПРОСТРАНСТВА КИНО: ОБРАЗНЫЙ МИР КУЛЬТУРНОГ... by LAVRENOVA OLGA A. / ЛАВРЕНОВА О.А.

“…It traditionally considers not only spacing of artifacts and monuments over the earth’s surface, but also specific features related to the reflection of geographical space in art and creation of fantasy worlds in which the dependence on consistent patterns of the real world formation can easily be traced. …”
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ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data by Qiwei Dong, Runchen Yang, Xinrui Wang, Zongwen Feng, Chenggan Liu, Shiyu Chen, Yuxi Zhou, Dezhong Yao, Junru Ren, Qi Xu, Li Dong

“…However, few electroencephalogram (EEG) analysis methods were designed to capture these features. Here, we developed a novel approach to mine spatiotemporal information contained in EEG data. …”
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The Concept of Sustainable Mobility in Modern Megacities by D. V. Zavyalov

“…The most urgent is to redesign the existing mobility patterns to achieve the environmental goals, the higher quality of life of city residents, the engagement of different stakeholders in sustainable mobility development.…”
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Somatic pathology in residents of Khanty-Mansi Autonomous Okrug – Yugra by L. N. Verizhnikova, O. L. Aryamkina, N. N. Terentyeva

“…The obtained data make it possible to identify priority research areas aimed at analyzing the frequency of diseases of internal organs in the territories equated to the Far North, the features of their course and outcomes as well as to develop effective programs of primary and secondary prevention of these diseases.…”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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Pedagogical Evaluation and Recommendations on Software Design for English Intonation Learning by Nawel Bengrait

“…Other speech tools as Speech Analyzer, Praat, and RTPitch provide automatic audio-visual assessment of intonational patterns and measurement of pitch and intensity values. …”
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Predicting the academic achievement of students using black hole optimization and Gaussian process regression by Yanyu Chen, Xiaolin Yao

“…The proposed method can assist teachers in analyzing student behavioral patterns, understanding academic performance impact mechanisms, and developing effective learning supervision plans.…”
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Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

“…After applying SMOTE-ENN, the class distribution became more balanced, allowing the model to learn patterns more effectively. The MLP model was designed with two hidden layers comprising 64 and 32 neurons, respectively, using the ReLU activation function in the hidden layers and a sigmoid function in the output layer. …”
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