Results 181 to 190 of about 513,436 (266)

Blockchain‐Based Smart Contracts in US Specialty Crop Marketing: Grower Preferences and Adoption Potential

Agribusiness, EarlyView.
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales, Alba J. Collart, Matthew G. Interis, Esther Mmenaa Agyemang‐Duah   +3 more
wiley   +1 more source

An integrated framework for evaluating landscape performance in tourism-oriented rural areas. [PDF]

Sci Rep
Li Y, Shen G, Wang Y, Chang Y, Mo D, Xue P, Li J, Ding L.   +7 more
europepmc   +1 more source

Age and Regional Trends in Groin Hernia Surgery in Japan: An Analysis of Laparoscopic Repair, Outpatient Surgery, and Manual Reduction Using National Database Open Data

Annals of Gastroenterological Surgery, EarlyView.
Using National Database open data from 2014 to 2023, this nationwide study visualizes age‐, sex‐, and region‐specific trends in groin hernia surgery in Japan. Laparoscopic surgery, outpatient surgery, and manual reduction were analyzed to estimate lifetime surgical burden and patterns of emergency‐related healthcare utilization at the population level.
Masanori Sato, Kyosuke Miyazaki, Tatsuya Tazaki, Itsuro Nagae, Taketo Matsubara, Saseem Poudel, Tsuyoshi Takagi, Hidetoshi Wada   +7 more
wiley   +1 more source

The Level of Smartphone Addiction and Its Relationship to High Blood Pressure Among Middle-Aged and Elderly People in Rural Areas of China. [PDF]

Nat Sci Sleep
Cheng L, Zheng Y, Chen X, Wu J, Pan Y, Xiong X, Ye Z.   +6 more
europepmc   +1 more source

Regional Disparities in Case Volumes and Surgeon Distribution in Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Regional disparities in surgical resources may influence the delivery and sustainability of gastroenterological surgery, particularly in countries experiencing rapid population aging and depopulation. Methods This nationwide cross‐sectional study used data from the Japanese National Clinical Database to examine temporal trends (2013–
Hiroshi Hasegawa, Hiraku Kumamaru, Momoko Ara, Yoshihiro Kakeji, Hideko Yamauchi, Masafumi Inomata, Sadako Akashi‐Tanaka, Koji Ito, Shinji Itoh, Hidetoshi Eguchi, Kazumi Kawase, Yoshiaki Kinoshita, Yuki Kiyozumi, Shogo Kobayashi, Ikuko Shibasaki, Chiyoe Shirota, Hiroyuki Suzuki, Chie Takasu, Aoi Fujikawa, Saki Bessho, Kiyomi Horiuchi, Kosei Maemura, Ayako Maruo, Takuya Miura, Yuji Miyamoto, Toshiki Yajima, Ayuko Yasuda, Toshiharu Yamaguchi, Tadashi Iwanaka, Hideo Baba, Akinobu Taketomi   +30 more
wiley   +1 more source

Expenditure and use on radiology imaging in urban and rural areas in a developing country. [PDF]

Cost Eff Resour Alloc
Espinosa O, Puentes G, Bejarano V, Romero J, Arias ML, Hedgire S, Daye D, Mohan S, Duszak R.   +8 more
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Traffic sign dataset for connected and automated vehicle operations in rural areas. [PDF]

Data Brief
Zakaria M, Getahun T, Karimoddini A.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source