Complex treatment of generalized catarrhal gingivitis with precursors of early formation of destructive phenomena in the bone structures of periodontium. by А. А. Gudaryan, V. I. Struk, N. V. Vatamanyuk

“…The article presents the results of comprehensive rehabilitation of 92 patients with generalized catarrhal gingivitis by creating differentiated programs for prevention and treatment of the disease, depending on the absence or presence of laboratory signs that have not been detected by X-ray, early destructive processes in the bone structures of periodontal tissues. …”
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Microdetection of Nucleocapsid Proteins via Terahertz Chemical Microscope Using Aptamers by Xue Ding, Mana Murakami, Jin Wang, Hirofumi Inoue, Toshihiko Kiwa

“…Consequently, trace amounts (0.5 μL) of the N protein were successfully detected, and the detection process only took 10 min. …”
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Temporal Analysis of Multispectral Satellite Data for the Purpose of Urbanization Monitoring by V. Kević, I. Racetin, A. Krtalić

“…Monitoring the urbanization process and early detection of illegal construction should enable meaningful urban planning and the protection of natural and cultural features of the community. …”
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Determination of advantame in sauce products by ultrasonic extraction-high performance liquid chromatography and its uncertainty analysis by HUANG Huimin, LIU Ning, DUAN Hu, YANG Guang

“…The main source of uncertainty in the method was the standard curve fitting (0.029 8), which was a key control point in the detection process.…”
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PSYCHOLOGICAL INVOLVEMENT AS A BASIS FOR STIMULATING THE ACTIVITY OF STUDENTS OF DEPARTMENTAL UNIVERSITIES by Natalia E. Serebrovskaya, Maria P. Shcherbakova, Darya M. Gnezdilova

“…The objective of the study is to detect key factors defining the psychological engagement of cadets in the educational institutions of the ministry as well as to analyze their influence on the academical success and professional self-conscience to develop a set of pedagogical methods of upbringing aimed at increasing the efficiency of educational process. …”
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Integrating fraud hexagon into fraud control system: a study of Indonesia by Cris Kuntadi

“…The fraud control system is an assessment of the risk of irregularities which is a proactive process that aims to identify and overcome organizational vulnerabilities due to conditions carried out by internal and external parties to the organization. …”
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Recent Advances in the Development of Functional Nucleic Acid Biosensors Based on Aptamer-Rolling Circle Amplification by Ce Liu, Wanchong He

“…Rolling circle amplification (RCA) is an amplification technique that utilizes DNA or RNA templates, where circular primers are extended by polymerases to generate multiple repeated sequences, enabling highly sensitive detection of target molecules. The integration of aptamers with RCA offers significant advantages, enhancing both the specificity and sensitivity of detection while ensuring a fast and straightforward process. …”
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Electrochemical Non-Enzymatic Glucose Sensing Platform Based on Vanadium Pentoxide Film-Modified Screen Printed Gold Electrode by Çiğdem Dülgerbaki

“…Utilizing V2O5 as an electrocatalyst, this non-enzymatic sensor exhibited an expansive linear detection range (1 mM–10 mM) and an impressively low detection limit of 0.9 μM. …”
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Increased sensitivity of heavy metal bioreporters in transporter deficient Synechocystis PCC6803 mutants. by Gábor Patyi, Barbara Hódi, Dániel Solymosi, Imre Vass, Péter B Kós

“…Bacterial heavy metal reporters, which constitute an environmentally friendly and cheap approach, offer great help in this process. Although their application has great potential in the detection of heavy metal contamination, their sensitivity still needs to be improved. …”
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SCMA High-Dimensional Codebook Design Based on VBR-GAM by Xu DENG, Ke CHU, Lidong ZHU

“…At the physical layer, sparse code multiple access (SCMA) technology is used to solve the problem of massive user access.In the current research on SCMA, in addition to the research on SCMA multi-user detection technology, more attention will be paid to the design of SCMA system codebooks.SCMA codebook with good performance can not only improve its anti noise performance in the process of multi-user detection, but also reduce the detection complexity.The traditional codebook design scheme is mainly researched on low-dimensional codebooks, and most of the designed codebook schemes are based on QAM, TCM, and Lattice, while few people have set foot in and studied high-dimensional codebooks.A new codebook design - Golden Angle Modulation (GAM) was mainly focused on, and on this basis, proposed a Variable Bit Rate (VBR) GAM codebook design method.The simulation results showed that the VBR-GAM codebook could fl exibly met the needs of diff erent services.With the increased of the modulation order, the VBR-GAM codebook had better performance than the traditional GAM codebook.…”
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The effects of small-sided games on physical fitness in basketball players: a systematic review and meta-analysis by Zefeng Zhang, Jianhua Xu, Xiangbo Ji, Rui Chen

“…The meta-analysis, sensitivity analysis, publication bias detection and subgroup analysis were mainly conducted by Review Manager 5.3. …”
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Clinical utility of synuclein skin biopsy in the diagnosis and evaluation of synucleinopathies by Jonathan R. Isaacson, Roy Freeman, Christopher H. Gibbons

“…However, diagnostic uncertainty may persist until late in the disease process leading to delays in diagnosis and medical mismanagement. …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

“…Secondly, the weights in the K-means algorithm are mostly only applicable to target detection tasks. Therefore, when processing Internet marketing node detection tasks, the K-means algorithm is used to regress the training set and calculate 5 weights. …”
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Biennial sub-meter tree coverage dataset of Orlando (2013–2021) by Danlu Cai, Leiqiu Hu, Janak Parajuli

“…Extensive ground-truth validation demonstrates 78%–89% accuracy in tree detection, outperforming existing products. This dataset provides the crucial link between planning and action, and supports urban forest management and has broader applications in urban planning, environmental and public health monitoring, and education programs.…”
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Future Era of Accountants under the Impact of AI by Guan Ran

“…The integration of Artificial Intelligence (AI) in accounting is transforming the profession by automating tasks such as fraud detection, financial forecasting, and risk assessment, enhancing efficiency and accuracy. …”
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Breast Cancer in Adolescents and Young Adults Less Than 40 Years of Age in Nigeria: A Retrospective Analysis by Atara Ntekim, Mojisola Oluwasanu, Oluwaponmile Odukoya

“…This will inform the development of breast cancer care programs appropriate for this age group. Objective. …”
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LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11 by Ameer Tamoor Khan, Signe Marie Jensen

“…Accurate leaf segmentation and counting are critical for advancing crop phenotyping and improving breeding programs in agriculture. This study evaluates YOLOv11-based models for automated leaf detection and segmentation across spring barley, spring wheat, winter wheat, winter rye, and winter triticale. …”
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Dams Overtopping Scenarios from Catastrophic Landslides in Mountains’ Headwaters: Case Study in Kobe City, Japan by Christopher Gomez

“…For this purpose, the present state of the check dams network was analysed from the 2018 LiDAR (Light Detection and Ranging) data, considering the progressive infilling of the structures. …”
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The effectiveness of nurse-led antenatal education on maternal self-efficacy: an evidence-based approach by Huda Hamdy Mohammed, Azza Ali Abd El Hamed, Nagwa Abd El- Fadil Afefy, Nadine Alaa Sherif, Sahar Mansour Ibrahim

“…Publication bias was not detected, and heterogeneity was moderate (I² < 60%). …”
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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition by Faheed A.F. Alrslani, Manal Abdullah Alohali, Mohammed Aljebreen, Hamed Alqahtani, Asma Alshuhail, Menwa Alshammeri, Wafa Sulaiman Almukadi

“…Moreover, the FDIA detection process is performed by modelling an improved deep belief network (IDBN) model. …”
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