Article
Engineering, Biomedical
Haniye Shayeste, Babak Mohammadzadeh Asl
Summary: This study introduces a repetition-based seizure detection method using Gray Level Co-occurrence Matrix (GLCM) and Electroencephalogram (EEG) signals. By extracting features from the co-occurrence matrix, accurate classification between ictal and inter-ictal time segments can be achieved.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Oncology
Jinlian Jin, Haiyan Zhou, Shulin Sun, Zhe Tian, Haibing Ren, Jinwu Feng, Xinping Jiang
Summary: This study aimed to build a bone metastasis prediction model based on Gray level Co-occurrence Matrix (GLCM) - based Score to guide clinical diagnosis and treatment for colorectal cancer patients. The prediction efficiency of the RFM algorithm was found to be the highest, providing a new method for automatically evaluating pelvic bone turnover in these patients.
FRONTIERS IN ONCOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Banphatree Khomkham, Rajalida Lipikorn
Summary: This study proposed a method to assist radiologists in classifying pulmonary lesions by combining adaptive weighted features as initial input data. The results showed that the proposed features and method significantly improved the classification performance, especially for small datasets.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2021)
Article
Forestry
Xi Pan, Kang Li, Zhangjing Chen, Zhong Yang
Summary: A new method utilizing near-infrared spectra and texture features has been proposed for accurate and rapid wood identification. The study shows that the identification accuracy of this method can reach 99.43%, with short-wavelength pre-processed NIR bands achieving high identification accuracy as well.
Article
Environmental Sciences
Minhwa Kim, Sang-Eun Park, Seung-Jae Lee
Summary: Synthetic Aperture Radar (SAR) remote sensing is an effective tool for earthquake disaster response. However, traditional damaged-building detection with SAR data relies on the availability of SAR data obtained in the same observation mode. This study proposes a method to detect earthquake-induced damaged buildings using SAR data with different observation modes, based on contextual change analysis and novel textural features. The experimental results show that the proposed method can improve detectability in building-damaged areas while maintaining low false alarm rates in agricultural areas.
Article
Engineering, Biomedical
Meng-Jia Lian, Chih-Ling Huang, Tzer-Min Lee
Summary: Oral cancer is a major cause of cancer-related deaths worldwide, with a low 5-year survival rate. Computer-aided detection methods, including GLCM feature extraction and SLPP reflex images, offer a promising approach for improved classification and diagnosis of oral cancer. The combined system can effectively differentiate between cancerous and normal cells, as well as different types of oral cancer.
LASERS IN MEDICAL SCIENCE
(2022)
Article
Geochemistry & Geophysics
Xiao Zhang, Xin Su, Qiangqiang Yuan, Qing Wang
Summary: The proposed STGCNet method achieves success in SAR image change detection by effectively mining spatial-temporal information and introducing 3-D-GLCM auxiliary features for speckle-robust results.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Economics
Wilis Kaswidjanti, Hidayatulah Himawan, Galih Wangi Putri
Summary: The study focuses on classifying citrus diseases based on leaf images using the Gray Level Co-occurrence Matrix (GLCM) extraction technology and K-Nearest Neighbor (KNN). Comparison of dataset normalization and KNN distance is performed, with promising results in distinguishing diseases.
ECONOMIC ANNALS-XXI
(2022)
Article
Environmental Sciences
Ana Isabel Fernandez-Montes de Oca, Jose Alberto Gallardo-Cruz, Adrian Ghilardi, Edith Kauffer, Jonathan Vidal Solorzano, Victor Sanchez-Cordero
Summary: There is currently a lack of consensus on the definition of deforestation, thus highlighting the need for a unified framework. By analyzing and comparing international and national reports, significant differences were identified, leading to the proposal of a harmonized definition and methodology for decision-making studies related to deforestation.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Plant Sciences
Yazmin M. Miranda-Molina, Edgar J. Gonzalez, Judith Marquez-Guzman, Jorge A. Meave, Eduardo A. Perez-Garcia
Summary: The study found that pollination success in three tropical dry forest orchids is generally low, with floral display only influencing pollination success in one of the orchids (C. dodsoniana). Most visitors are not true pollinators, and some rewards may be part of a pollinator deception mechanism.
BOTANICAL SCIENCES
(2021)
Article
Ecology
Adriana L. Luna-Nieves, Edgar J. Gonzalez, Jorge Cortes-Flores, Guillermo Ibarra-Manriquez, Axel Maldonado-Romo, Jorge A. Meave
Summary: The phenological diversity in seasonally dry tropical forests is influenced by both climatic and physiological factors, including wood density. This study found that hardwood species exhibited different phenological responses compared to softwood species. Hardwood species grew and reproduced during the rainy season, while softwood species shed their foliage in the dry season and flowered and fruited shortly after. The environmental factors influencing phenophase attributes were also found to vary depending on the wood density of the species.
Article
Environmental Sciences
Jonathan V. Solorzano, Yan Gao
Summary: This study aims to determine if the BFAST algorithm can improve the accuracy in detecting forest disturbances by using other components of the model. The results show that the support vector machines algorithm achieved the highest accuracy using the all-forest dataset.
Review
Forestry
Jorge Omar Lopez-Martinez, Benedicto Vargas-Larreta, Edgar J. Gonzalez, Jose Javier Corral-Rivas, Oscar A. Aguirre-Calderon, Eduardo J. Trevino-Garza, Hector M. de los Santos-posadas, Martin Martinez-Salvador, Francisco J. Zamudio-Sanchez, Cristobal Gerardo Aguirre-Calderon
Summary: This study conducted a systematic review of biometric systems in Mexico and identified 2524 equations that describe the relationships between forest attributes and dendrometric variables. The study found that these equations were mainly developed for forest species from temperate regions, such as pine and oak. However, the number of equations identified focused on a relatively small number of models. The analysis of model fit showed high fit for volume, diameter, and site index models.
Article
Plant Sciences
Gabriel Arroyo-Cosultchi, Jordan Golubov, Jonathan V. Solorzano, Maria C. Mandujano
Summary: Until recently, there has been limited research on the population dynamics and genetic variation of invasive species. This study focuses on the population dynamics of Kalanchoe delagoensis and explores the impact of its reproductive strategy on population growth rate. The results show that plantlet survival and recruitment are crucial factors for population growth, and different management scenarios have varying effects on population growth rate.
Article
Biodiversity Conservation
Hilda Diaz-Guzman, Edgar J. Gonzalez, Consuelo Bonfil
Summary: As urbanization progresses, natural ecosystems surrounding cities undergo transformation, but some elements such as trees from forest ecosystems persist. This study examines the extent to which isolated urban trees maintain their interactions with insects that feed on their seeds. The researchers found that, despite smaller populations of seed predators on isolated trees, their interactions with weevils and moths are still maintained, highlighting the importance of these trees for urban biodiversity conservation.
Article
Environmental Sciences
Diana Laura Jimenez-Rodriguez, Yan Gao, Jonathan V. Solorzano, Margaret Skutsch, Diego R. Perez-Salicrup, Miguel Angel Salinas-Melgoza, Michelle Farfan
Summary: Forest degradation reduces biomass density, contributes to greenhouse gas emissions, and affects biodiversity and natural resources available for local communities. This study successfully mapped degraded forests in the dry tropics and identified the most relevant biophysical and socio-economic factors associated with such degradation.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Forestry
Eunice Romero, Teresa Terrazas, Edgar J. Gonzalez, Jorge A. Meave
Summary: The wood anatomy of 13 frequently occurring species in successional tropical dry forests was described in this study. The anatomical features of these species suggest different coping mechanisms for water scarcity, including drought tolerance and drought avoidance strategies. However, there is a large variation in wood features among species, indicating the complexity of the relationship between wood anatomy, function, and ecological performance.
Article
Geography, Physical
Jonathan Solorzano, Jean Francois Mas, J. Alberto Gallardo-Cruz, Yan Gao, Ana Fernandez-Montes de Oca
Summary: This study aimed to assess the potential of a spatio-temporal deep learning algorithm, U-Net 3D, combined with high-resolution satellite images to detect deforestation in a tropical rainforest in Southeast Mexico. The results showed that the algorithm performed well in detecting deforestation with a high accuracy.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Plant Sciences
Derio Antonio Jimenez-Lopez, Jose Alberto Gallardo-Cruz, Mario Esteban Veliz, Ruben Martinez-Camilo, Claudio Mendez, Jonathan V. Solorzano, Luis Velazquez-Mendez, Julia Carabias, Gabriela Garcia-Hidalgo, Candelario Peralta-Carreta, Miguelina Sanchez-Gonzalez, Ofelia Castillo-Acosta, Nikolay Marievich Luna-Kamyshev, Jose Luis Villasenor, Jorge A. Meave
Summary: The Usumacinta River Basin is a crucial region for plant biodiversity conservation in Mesoamerica, hosting nearly one third of all vascular plant species and about 6% of the entire flora in the Americas. Further botanical exploration should prioritize areas with limited information to enhance our understanding of the flora in this region.
BOTANICAL SCIENCES
(2023)
Article
Environmental Sciences
Yan Gao, Jonathan V. Solorzano, Ronald C. Estoque, Shiro Tsuyuzaki
Summary: The tropical dry forest is rapidly disappearing as one of the most threatened ecosystems. Although shifting cultivation helps maintain forest coverage, it leads to lower density. This study investigated the dynamics of tropical dry forests and found an equilibrium between forest loss and gain under the influence of shifting cultivation. The topographic variable of slope and the anthropogenic variable of distance to roads were identified as factors affecting the occurrence of both forest loss and gain.
Article
Plant Sciences
Mariana Ayala-Angulo, Edgar J. Gonzalez, Carolina Ureta, Jose Luis Chavez-Servia, Emmanuel Gonzalez-Ortega, Remy Vandame, Alejandro de Avila-Bloomberg, Geovanni Martinez-Guerra, Said Gonzalez-Diaz, Rosey Obet Ruiz-Gonzalez, Prisciliano Diego-Flores, Elena R. Alvarez-Buylla, Alma Pineyro-Nelson
Summary: Mexico holds more than 50% of maize's genetic diversity in the Americas and native maize varieties are actively managed by small-scale producers. Seed management practices, such as use, exchange, and admixture, have implications for the conservation of these varieties in their natural habitat. This study investigates the dynamics of native maize seed management and its relationship with transgene presence among small-scale producers in three Mexican states. The findings suggest that factors such as land size, producer's age, sale of seed, use of agricultural machinery, and geographic regions influence the probability of transgene presence. Strategies like mapping seed markets, implementing biosecurity measures, and promoting seed conservation can help prevent further spread of transgenes and enhance conservation efforts.
Article
Plant Sciences
Derio Antonio Jimenez-Lopez, Jose Alberto Gallardo-Cruz, Mario Esteban Veliz, Ruben Martinez-Camilo, Claudio Mendez, Jonathan V. Solorzano, Luis Velazquez-Mendez, Julia Carabias, Gabriela Garcia-Hidalgo, Candelario Peralta-Carreta, Miguelina Sanchez-Gonzalez, Ofelia Castillo-Acosta, Nikolay Marievich Luna-Kamyshev, Jose Luis Villasenor, Jorge A. Meave
Summary: Despite significant efforts to contribute to the knowledge of flora in Mesoamerica, our understanding of the region's biodiversity is still limited. This study compiled information from various sources, finding 6,977 plant species in the Usumacinta River Basin.
BOTANICAL SCIENCES
(2023)
Article
Forestry
Benedicto Vargas-Larreta, Jorge Omar Lopez-Martinez, Edgar J. Gonzalez, Jose Javier Corral-Rivas, Francisco Javier Hernandez
Summary: The relationship between biodiversity and ecosystem productivity in temperate mixed-species and uneven-aged forests of northern Mexico was investigated, showing that species richness, maximum height, functional richness, functional dispersion, and RaoQ indices are related to above-ground biomass production. A hump-shaped relationship between above-ground biomass and species richness was observed, with functional diversity explaining biomass production better than classical taxonomic diversity. Community weighted mean traits, particularly maximum tree height, play a key role in explaining stand biomass accumulation in these forests. The impact of forest management on biodiversity did not change the relationship between above-ground biomass and diversity in the forests of the Sierra Madre Occidental, Mexico.
