Article
Anthropology
Allyson M. Simon, Mark Hubbe
Summary: Reconstructing demography of past populations using skeletal data is challenging due to biological aging not always aligning with chronological age. Transition analysis (TA) is proposed as a solution to traditional age estimation limitations, showing varying accuracy when applied to known-age skeletal samples. This study evaluates TA accuracy by comparing age estimates to known age at death in the Hamann-Todd Collection, finding higher errors for white individuals compared to black, with weak to moderate correlations between known age and error for different groups.
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2021)
Article
Anthropology
Sonia Diaz-Navarro, Maria Haber Uriarte, Cristina Tejedor-Rodriguez, Joaquin Lomba Maurandi
Summary: Reconstructing the biological profile of skeletal remains is crucial for determining the demographic characteristics and classifying the remains. This analysis provides insights into the population structure, mortality trends, and possible social and health factors related to specific age and gender groups.
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
(2023)
Article
Anthropology
Victoria Romano, Alejandro Serna, Emiliano Vega, Luciano Prates
Summary: This study discusses the biological and social implications of a disabling injury suffered by a Late Holocene hunter-gatherer from Northeastern Patagonia. Through various techniques, osseous modifications were analyzed and differential diagnoses were made based on bioarchaeological and modern clinical literature. The individual presented a highly disabling fracture of the lateral tibial plateau, which constrained locomotion and may have caused new demands on the body. The study also found evidence of different levels of interpersonal care throughout the healing process.
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Mingwen Shao, Yuanjian Qiao, Deyu Meng, Wangmeng Zuo
Summary: Existing CNN-based and ViT-based image restoration methods in the spatial domain have limitations in perceiving the full frequency spectrum of images, leading to partial missing of semantic information and artifacts. To address this, we present a novel uncertainty-guided hierarchical frequency domain Transformer (HFDT) that learns high and low-frequency information while capturing local and global features. Our approach uses a dual-domain feature interaction mechanism and employs Fast Fourier Transform (FFT) in the frequency domain branch and an efficient convolution group in the spatial domain branch. Additionally, an uncertainty degradation-guided strategy is introduced to represent degraded prior information more efficiently. The proposed HFDT achieves competitive results in various degraded scenarios.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Chunkai Zhang, Xinyu Wang, Hongye Zhang, Jiahua Zhang, Hanyu Zhang, Chuanyi Liu, Peiyi Han
Summary: System logs record the running status of systems, and log anomaly detection can help locate anomalies timely to reduce error time and ensure normal operation. Existing methods based on log count vector and log key sequence fail to consider the semantics of log data, leading to a high missing detection rate. In this paper, a novel framework named LayerLog is proposed, which effectively extracts semantic features from each layer without the usage of Log Parser and considers the semantics of words, logs, and log sequence. LayerLog can simultaneously detect execution order anomaly, operation anomaly, and incomplete anomaly of log sequence in an end-to-end way, and experimental results confirm its effectiveness.
APPLIED SOFT COMPUTING
(2023)
Article
Anthropology
Weston C. McCool, Amy S. Anderson, Douglas J. Kennett
Summary: This study utilized bioarchaeological approaches and life history theory to investigate the osteological paradox in a Late Intermediate period population from the Nasca highlands of Peru. The results revealed an increase in morbidity and mortality risk during this period, highlighting substantial heterogeneity in frailty and mortality risk among the population.
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2021)
Article
Energy & Fuels
Na Xu, Chuanpeng Xu, Robert B. Finkelman, Mark A. Engle, Qing Li, Mengmeng Peng, Lizhi He, Bin Huang, Yuchen Yang
Summary: The modes of occurrence of elements in coal are crucial for understanding coal formation and predicting impacts from coal utilization. Log-ratio transformations in hierarchical clustering algorithms are effective in inferring these modes of occurrence.
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2022)
Article
Computer Science, Theory & Methods
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
Summary: Software logs, semi-structured text generated by logging statements in source code, play a crucial role in reliability assurance of modern software systems. Automated log analysis has gained increasing attention in recent years, covering various aspects such as log writing, compression, parsing, and utilization.
ACM COMPUTING SURVEYS
(2021)
Article
Mathematics, Interdisciplinary Applications
Jonathan R. Bradley
Summary: This article introduces a method to convert a Bayesian statistical model into a model suitable for handling multiple response-type datasets, and utilizes Bayesian inference to handle the uncertainty of the transformation. The flexibility and practicality of the method are demonstrated through applications to various models and real datasets.
Article
Physics, Multidisciplinary
J. P. Keating
Summary: Guztwiller's trace formula plays a crucial role in the semiclassical theory of quantum energy levels and spectral statistics in classically chaotic systems. Recent developments in random matrix theory and number theory have revealed a hierarchical structure in the contribution of periodic orbits to the trace formula, with implications for the value distribution of spectral determinants in quantum chaotic systems.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Mathematics
Daniel Doz, Darjo Felda, Mara Cotic
Summary: This study analyzed the factors affecting students' mathematics grades and standardized test results, including gender, socio-economic status, school type, and geographic region. The results showed that boys had higher grades than girls, students with higher socio-economic status achieved better grades, students from scientific lyceums had the highest grades, and students from vocational schools had the lowest grades. Additionally, students from Northern Italy outperformed students from Southern Italy. These findings highlight the importance of addressing equity in assessment and promoting fair opportunities for students' future career and study prospects.
Article
Environmental Sciences
Xueying Zhang, Shelley H. Liu, Mariel Geron, Yueh-Hsiu Mathilda Chiu, Richard Gershon, Emily Ho, Kathi Huddleston, Allan C. Just, Itai Kloog, Brent A. Coull, Michelle Bosquet Enlow, Robert O. Wright, Rosalind J. Wright
Summary: This study aimed to assess the impact of PM2.5 on childhood cognition. By analyzing data from two U.S. cohorts, it was found that prenatal exposure to PM2.5 was associated with impaired childhood cognition. The study highlights the importance of considering between-site heterogeneity in multi-site analyses.
ENVIRONMENTAL RESEARCH
(2022)
Article
Anthropology
Ileana Micarelli, Flavia Strani, Samuel Bedecarrats, Sara Bernardini, Robert R. Paine, Lawrence Bliquez, Caterina Giostra, Valentina Gazzaniga, Mary Anne Tafuri, Giorgio Manzi
Summary: The Longobard necropolis of Castel Trosino, dating from the 6th to the 8th century CE, revealed a significant archaeological finding. The excavated remains included the skull of an older female who showed evidence of cross-shaped bone modification while alive. Through various analyses, such as SEM and CT scans, it was determined that there were scraping marks on the skull, indicating intentional therapeutic interventions. This discovery represents the first known instance of a cross-shaped therapeutic intervention on a living subject.
INTERNATIONAL JOURNAL OF OSTEOARCHAEOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Hong Guo, Kangqian Lin, Kaiyue Yang, Zhenrong Ma, Miao Cao, Yunhua Hu, Yizhong Yan
Summary: The incidence of cancer in Chinese older adults aged 60 and above is decreasing, but it remains at a relatively high level. The key targets for prevention and treatment in the future should be males, urban areas, younger people, older adults aged 60-69, and lung, gastrointestinal, and breast cancers.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Computer Science, Interdisciplinary Applications
Kei Hirose, Kanta Miura, Atori Koie
Summary: This article proposes a cluster-based LDA method that improves prediction accuracy through hierarchical clustering and cross-validation, while addressing computational efficiency.
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2023)
Article
Anthropology
Samantha L. Yaussy, Sharon N. DeWitte, Rebecca C. Redfern
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2016)
Article
Anthropology
Samantha L. Yaussy, Sharon N. DeWitte
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2019)
Article
Anthropology
Samantha L. Yaussy
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2019)
Article
Anthropology
Sharon N. DeWitte, Samantha L. Yaussy
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2020)
Book Review
Anthropology
Samantha L. Yaussy
AMERICAN ANTIQUITY
(2023)
Article
Anthropology
Samantha L. Yaussy, Sharon N. DeWitte, Gail Hughes-Morey
Summary: This study uses skeletal data to examine differences in adult survivorship in London before and after industrialization and the second epidemiological transition. The results show a significant increase in adult survivorship during the industrial period. These findings support the use of skeletal demographic data to study the context of the second epidemiological transition in past populations.
AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY
(2023)
Meeting Abstract
Anthropology
Samantha L. Yaussy, Sharon N. Dewitte, Gail Hughes-Morey
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2021)
Meeting Abstract
Anthropology
Samantha L. Yaussy
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2020)
Meeting Abstract
Anthropology
Samantha L. Yaussy
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2019)
Meeting Abstract
Anthropology
Samantha L. Yaussy, Sharon N. Dewitte
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2018)
Meeting Abstract
Anthropology
Samantha L. Yaussy, Sharon N. Dewitte
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2017)
Meeting Abstract
Anthropology
Samantha L. Yaussy, Sharon N. Dewitte
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2016)
Meeting Abstract
Anthropology
Sharon N. Dewitte, Samantha Yaussy
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2015)