Dengue Contingency Planning: From Research to Policy and Practice. by Silvia Runge-Ranzinger, Axel Kroeger, Piero Olliaro, Philip J McCall, Gustavo Sánchez Tejeda, Linda S Lloyd, Lokman Hakim, Leigh R Bowman, Olaf Horstick, Giovanini Coelho

“…Additionally, a computer-assisted early warning system, which enables countries to identify and respond to context-specific variables that predict forthcoming dengue outbreaks, has been developed.…”
Get full text

Screening and validation of diagnostic markers for keloids via bioinformatics analysis by Ze Wang, Bo Hu, Wenfei Li, Tengxiao Ma, Lei Li

“…Drug small molecules and compounds were predicted online, and molecular docking was performed. …”
Get full text

Machine learning insights into scapular stabilization for alleviating shoulder pain in college students by Omar M. Mabrouk, Doaa A. Abdel Hady, Tarek Abd El-Hafeez

“…This study investigates the prediction of the impact of scapular stability exercises in treating non-specific shoulder pain, leveraging advanced machine learning techniques for comprehensive evaluation and analysis. …”
Get full text

ENDOCRINE PANCREATIC FUNCTION IN ACUTE PANCREATITIS by P. V. Novokhatny

“…Serological tests of pancreatic polypeptide promising for early diagnosis and prediction of the outcome of acute pancreatitis.…”
Get full text

Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“…Based on testing, the best performance was obtained on the Decision Tree model with a hamming loss of 0.014, which indicates a very low prediction error rate per individual label.  A recall value of 99% indicates that the model is able to detect almost all positive labels correctly, and an F1-score of 98% indicates that the model has excellent and balanced performance, without bias against both positive and negative label predictions. …”
Get full text

Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…DeepMol rapidly and automatically identifies the most effective data representation, pre-processing methods and model configurations for a specific molecular property/activity prediction problem. On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. …”
Get full text

Epigenetic age and fertility timeline: testing an epigenetic clock to forecast in vitro fertilization success rate by Davide Marinello, Marco Reschini, Giorgia Di Stefano, Giorgia Carullo, Maíra Casalechi, Letizia Tarantini, Benedetta Albetti, Valentina Bollati, Paola Viganò, Edgardo Somigliana, Letizia Li Piani

“…Conclusions Epigenetic clocks may enhance IVF success prediction, particularly in women between 31 and 35. …”
Get full text

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach by Fetlework Gubena Arage, Zinabu Bekele Tadese, Eliyas Addisu Taye, Tigist Kifle Tsegaw, Tsegasilassie Gebremariam Abate, Eyob Akalewold Alemu

“…These algorithms were employed to predict cervical cancer screening uptake. …”
Get full text

Research on P2P streaming media identification based on UDP by Shi DONG, Gang WANG

“…Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.…”
Get full text

Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic by A. A. Testeshev, T. G. Babich

“…During the studying of significant factors, the influence of variability in the population density and the capacity of general education facilities was investigated. Identification signs of educational institutions used in the interpretation of satellite images were obtained. …”
Get full text

Cognitive prerequisites for implementation of foreign verbal communication by Magdalyna V. Lyla

“…It is cognitive activity that is considered relevant for students to understand and use the language, despite their knowledge space and cognitive algorithms conditioned by the properties of the human psyche and the specific situation. …”
Get full text

Optimal QoM in Multichannel Wireless Networks Based on MQICA by Na Xia, Lina Xu, Chengchun Ni

Get full text

Artificial Intelligence in PR: Transformations of Communication Strategies and Campaigns by Maria Nikolova

Get full text

Professional Evolution of School Teacher on Basis of Advanced Pedagogical Experience by N. L. Sokolova

“…Sergeeva “Andragogical support of innovative activity of teachers in the system of professional development” states that this scientific work should be evaluated taking into account the state order for the formation and development of innovative educational infrastructure and building a new strategy of effective activity in the field of secondary, higher and additional education. …”
Get full text

The Clearing System of Mutual Settlements between Participants of the Innovation-Industrial Cluster by I. V. Novikova, V. V. Smelova, D. V. Sazonova

Get full text

Incel dan Konstruksi Gender dalam Interseksi Marginalisasi dan Ekspresi Radikal di X by Teguh Agum Pratama, Kevin Rasyid Sabili Nasution

“…The findings indicate the algorithms facilitate the radicalization of masculine identity and amplify radical expressions, underscoring the need for intervention through education and responsible social media regulation. …”
Get full text

Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

Get full text

Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…Achieving intelligent prediction of roof pressure is of great significance for ensuring the safe production of mines. …”
Get full text

Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects by Maryam Yeganegi, Mahsa Danaei, Sepideh Azizi, Fatemeh Jayervand, Reza Bahrami, Seyed Alireza Dastgheib, Heewa Rashnavadi, Ali Masoudi, Amirmasoud Shiri, Kazem Aghili, Mahood Noorishadkam, Hossein Neamatzadeh

“…This review explores AI and machine learning (ML) in the early detection, prediction, and assessment of neural tube defects (NTDs) through prenatal ultrasound imaging. …”
Get full text

Diagnostic Value of F-FDG PET/CT Radiomics in Lymphoma: A Systematic Review and Meta-Analysis by Chaoying Liu MD, Jun Zhao PhD, Heng Zhang PhD, Xinye Ni PhD

“…Six meta-regressions were conducted on study performance, considering sample size, image modality, region of interest (ROI) selection, ROI segmentation, radiomics mode, and algorithms. Results In total, 20 studies classified as type 2a or above according to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement were included for this systematic review and meta-analysis. …”
Get full text