A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

“…Early detection significantly enhances survival rates, but traditional diagnostic methods, which rely on manual analysis of histopathological images, are labor-intensive, error-prone, and inconsistent. …”
Get full text

Novel metformin carbon dots promote osteogenic differentiation of human periodontal ligament stem cells under inflammatory microenvironment by WANG Kai, LI Yongkai, LI Yongkai, HUANG Jiao, HUANG Jiao

“…Objective‍　‍To develop novel metformin carbon dots (MCDs) with superior performance to enhance the osteogenic differentiation potential of human periodontal ligament stem cells (hPDLSCs) under inflammatory conditions. Methods‍　‍Three types of MCDs-MCDsCA, MCDsAA, and MCDsCS were synthesized via a one-step hydrothermal method using metformin (Met) in combination with citric acid (CA), ascorbic acid (AA), and carboxymethyl chitosan (CS), respectively. …”
Get full text

High-Precision Remote Sensing Monitoring of Extent, Species, and Production of Cultured Seaweed for Korean Peninsula by Shuangshuang Chen, Zhanjiang Ye, Runjie Jin, Junjie Zhu, Nan Wang, Yuhan Zheng, Junyu He, Jiaping Wu

“…During the 2022–2023 cultivation season, South Korea’s farms comprised 78% laver and 22% kelp, while North Korea’s showed an inverse distribution. …”
Get full text

Analysis of the impact of price incentives and precipitation fluctuations on maize planting area and yield by Wang Hao, Yan Cao, Xiangdong Hu, Zhenxing Zhang, Mengyu Cai, Hui Zhou, Changyi Jiang

“…This study utilizes panel data from 116 prefecture-level cities across nine provinces in China from 2003 to 2019 to analyze the dynamic impacts of maize prices, fertilizer price indices, and monthly precipitation on maize planting area and yield, employing fixed-effects models and the GMM estimation method. The empirical model incorporates key variables such as the previous year’s maize price, fertilizer price index, precipitation from March to May (affecting planting area), and monthly precipitation from April to September (affecting yield), while also accounting for control variables including urban population density, effective irrigation rate, industrial structure, and mechanization level. …”
Get full text

Transforming energy for sustainability: The digital economy's role in reducing industrial hazards by Jianing Hou

“…The most significant finding of this empirical research is that the wealth effects from the digital economy, particularly through increased private sector employment, lead to a substantial rise in wastewater discharge. While digital technology can enhance energy efficiency and optimize production processes, it also encounters challenges such as job displacement and resistance to change. …”
Get full text

The analysis of interactive furniture design system based on artificial intelligence by Xiaohong Jiang

“…The designed system effectively highlights the preferences of users across different genders, age groups, and income levels, enabling flexible design adjustments based on user characteristics. This method better meets the personalized needs of diverse users while addressing the limitations of traditional AI-assisted design systems in generating diverse solutions. …”
Get full text

Hyperbaric Oxygen Therapy for Pharyngocutaneous Fistula Following Head and Neck Surgery: A Comprehensive Review and Our Clinical Experience by Francesca Cascone, Antonio Minni, Marco de Vincentiis, Christian Barbato, Federica Zoccali

“…While many studies report positive outcomes, the results are not universally consistent. …”
Get full text

RATIONAL USE OF 3rd GENERATION CEPHALOSPORINS IN TERTIARY CARE HOSPITALS: A CONCURRENT DUR

“…Drug use evaluation is a performance improvement method that concentrates on improvement and evaluation of drug use processes to achieve optimal patient outcomes. …”
Get full text

Participatory Strategies to Enhance Resilience and Job Satisfaction and Reduce Stress to Mitigate Early Retirement Intentions Among Nurses: Protocol for a Qualitative Study by Ghada Derbel, Alexandra Lecours

“…MethodsA 3-phase qualitative research design will be used. …”
Get full text

Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…A deep learning model named Self-Organising ResNet (SOResNet) uses smoothing methods to remove unnecessary features while protecting important data aspects. …”
Get full text

Surgical Implantation of a Telemetry-Based Pressure Sensor in the Internal Jugular Vein to Monitor Respiration Wirelessly by Neha Kushwaha, Debanjan Dasgupta

“…We describe a way of inserting the probe into the right jugular vein aseptically while housing the transmitter underneath the skin on the back of the animal. …”
Get full text

Enhancing research on academic research capacity in Cambodian higher education institutions by Sarith Chiv, Kimcheang Hong, Chanthang Meak, Rany Sam, Morin Tieng, Hak Yoeng, Mardy Serey

“…The purpose of this paper is to identify and analyze the individual factors influencing academicians’ research productivity in Cambodian higher education institutions, to examine and evaluate the impact of institutional factors on research productivity, and to investigate and assess the external factors affecting research productivity and develop strategies to mitigate negative impacts while increasing positive influences. Methods This study employs a rigorous qualitative method, with insights gained through interviews and policy analysis. …”
Get full text

Implementation of Adaptive Short Time Fourier Transform and Sigmoid based Kernel Support Vector Machine for Radar Signal Identification by AHMAD Ashraf Adam, MUHAMMAD Farouk Isah

“…Distinguishing between simple pulsed and Low Probability of Intercept (LPI) radar signals is crucial for various applications, including radar signal identification and electronic warfare. Existing methods often struggle with achieving high accuracy, and bridging computational complexity, particularly in low signal-to-noise ratio (SNR) environments. …”
Get full text

Impact of pretreatment and drying on the chemical composition and sensory quality of fried yam (Dioscorea rotundata) chips by Evans Ntim Amedor, Frederick Sarpong, Paa Kwesi Bordoh, Evans Frimpong Boateng, James Owusu-Kwarteng

“…Aim: This study examined the combined effects of pretreatment methods (blanching, citric acid, and ascorbic acid) and oven drying on the chemical composition and sensory quality of fried yam (Dioscorea rotundata) chips, aimed at optimizing processing conditions for improved product quality. …”
Get full text

Imaging the lifecycle of Microsporidia sp. MB in Anopheles coluzzii from western Burkina Faso reveals octosporogony by Ewan R. S. Parry, Roland Pevsner, Beth C. Poulton, Deepak-Kumar Purusothaman, Abdelhakeem I. Adam, Sare Issiaka, Thomas H. Ant, Stephanie M. Rainey, Etienne Bilgo, Abdoulaye Diabaté, Steven P. Sinkins

“…The lifecycle of MB was explored using fluorescent in situ hybridization and confocal microscopy, facilitated by the development of optimized protocols to produce histological sections of whole adult, larval, and embryo tissues. …”
Get full text

Anatomy, ploidy level, and essential oil composition of <i>Hyssopus officinalis</i> ʻNikitskiy Beliyʼ <i>in vitro</i> and <i>ex situ</i> by I. V. Bulavin, N. N. Ivanova, N. N. Miroshnichenko, N. M. Saplev, S. A. Feskov

“…According to the results obtained, with 6-BAP introduced into MS nutrient medium in optimal concentrations (0.3– 0.5 mg/L), the general in vitro structure of leaf blades in the developed microshoots was similar to those in ex situ plants, while the qualitative and quantitative changes observed were induced by the effect of specific culturing conditions and plant rejuvenation. …”
Get full text

COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS by Aleytha Ilahnugrah Kurnadipare, Sri Amaliya, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…The best SARIMA model generated was (1,1,1)(0,1,1)12, while the optimal parameters for the LSTM model were neuron: 50, dropout rate: 0.3, number of layers: 2, activation function: relu, epochs: 500, batch size: 64, optimizer: Adam, and learning rate: 0.01. …”
Get full text

Effect of Gravel Size, Microwave Irradiation (1 to 2.5 min), Moisture, and Quenching on Aggregate Properties of Chert Gravel: Valorizing a “Waste” Byproduct of Sand Quarrying by Mark Tzibulsky, Vladimir Frid

“…The research systematically examines MW exposure duration (1–2.5 min), rock size (150–800 g), moisture conditions, and cooling methods (air vs. water quenching) to optimize fragmentation. …”
Get full text

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revi... by Jiaxuan Li, Yunchu Yang, Chao Mao, Patrick Cheong-Iao Pang, Quanjing Zhu, Dejian Xu, Yapeng Wang

“…The weighted total precision of our method based on the ABSA of patient reviews was 0.907, while the average accuracy of all 3 sampling methods was 0.893. …”
Get full text

Signs of apoptosis in circulating tumor cell subpopulations with phenotypes associated with stemness and epithelial-mesenchymal transition in breast carcinoma by V. M. Perelmuter, E. S. Grigorieva, M. V. Zavyalova, L. A. Tashireva, V. V. Alifanov, O. E. Saveleva, S. V. Vtorushin, E. L. Choynzonov, N. V. Cherdyntsevа

“…Knowledge of phenotypical signs associated with this ability would allow to predict the risk of metastases and optimize adjuvant therapy.Aim. To examine signs of apoptosis in CTC populations with various phenotypical characteristics.Materials and methods. …”
Get full text