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View article: Landscape Dynamics of Cat Tien National Park and the Ma Da Forest Within the Dong Nai Biosphere Reserve, Socialist Republic of Vietnam
Landscape Dynamics of Cat Tien National Park and the Ma Da Forest Within the Dong Nai Biosphere Reserve, Socialist Republic of Vietnam Open
The study of tropical landscape dynamics is of critical importance, particularly within protected areas, for evaluating ecosystem functioning and the effectiveness of natural conservation efforts. This study aims to identify landscape dyna…
View article: ASSESSMENT OF COASTAL WATER QUALITY IN BAI TU LONG NATIONAL PARK, QUANG NINH PROVINCE
ASSESSMENT OF COASTAL WATER QUALITY IN BAI TU LONG NATIONAL PARK, QUANG NINH PROVINCE Open
Coastal seawater quality plays an important role in protecting the organisms and life of marine ecosystems. This study evaluates the quality of coastal seawater in Bai Tu Long National Park through field measurements and laboratory analyse…
View article: ASSESSMENT OF WATER ENVIRONMENT QUALITY IN HINH RIVER BASIN, PHU YEN PROVINCE
ASSESSMENT OF WATER ENVIRONMENT QUALITY IN HINH RIVER BASIN, PHU YEN PROVINCE Open
The Hinh River basin is one of the regions with abundant surface water resources in Phu Yen Province, encompassing a diverse system of rivers, streams, ponds, and reservoirs. The water quality of a river describes its biological and physic…
View article: Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms
Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms Open
Deep-learning models are suitable for the segmentation of the left and right ventricles in PSAX-echo. We demonstrated that domain-specific trained models such as Unet-ResNet provide higher accuracy for echo segmentation than general-domain…
View article: Misspecification Strikes: ASTRAL can Mislead in the Presence of Hybridization, even for Non-Anomalous Scenarios
Misspecification Strikes: ASTRAL can Mislead in the Presence of Hybridization, even for Non-Anomalous Scenarios Open
ASTRAL is a powerful and widely used tool for species tree inference, known for its computational speed and robustness under incomplete lineage sorting. The method has often been used as an initial step in species network inference to prov…
View article: Examining the effectiveness of support systems for small and medium enterprises in Hanoi city: A sociological investigation
Examining the effectiveness of support systems for small and medium enterprises in Hanoi city: A sociological investigation Open
According to the World Bank (2021), the world will require 600 million jobs by 2030, making SME development a priority for governments to measure their support efforts. Hanoi, Vietnam's capital, is a hub for SMEs, with 1 business for every…
View article: KHẢO SÁT MỘT SỐ YẾU TỐ LIÊN QUAN ĐẾN RỐI LOẠN LO ÂU Ở BỆNH NHÂN HỘI CHỨNG RUỘT KÍCH THÍCH ĐIỀU TRỊ TẠI BỆNH VIỆN QUÂN Y 175
KHẢO SÁT MỘT SỐ YẾU TỐ LIÊN QUAN ĐẾN RỐI LOẠN LO ÂU Ở BỆNH NHÂN HỘI CHỨNG RUỘT KÍCH THÍCH ĐIỀU TRỊ TẠI BỆNH VIỆN QUÂN Y 175 Open
Mục tiêu: Khảo sát một số yếu tố liên quan đến rối loạn lo âu ở bệnh nhân hội chứng ruột kích thích điều trị tại bệnh viện Quân Y 175. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang 163 bệnh nhân chẩn đoán hội chứng ruột k…
View article: RNA-sequencing predicts a role of androgen receptor and aldehyde dehydrogenase 1A1 in osteosarcoma lung metastases
RNA-sequencing predicts a role of androgen receptor and aldehyde dehydrogenase 1A1 in osteosarcoma lung metastases Open
View article: Simple Transferability Estimation for Regression Tasks
Simple Transferability Estimation for Regression Tasks Open
We consider transferability estimation, the problem of estimating how well deep learning models transfer from a source to a target task. We focus on regression tasks, which received little previous attention, and propose two simple and com…
View article: Combinatorics of Lazard Elimination and Interactions
Combinatorics of Lazard Elimination and Interactions Open
View article: Mapping adipose tissue in short-axis echocardiograms using spectral analysis
Mapping adipose tissue in short-axis echocardiograms using spectral analysis Open
The number one cause of death in the United States is consistently cardiovascular disease (CVD). Studies have proven that the buildup of cardiac adipose tissue (CAT) around the heart is a biomarker of CVD. MRI is the gold standard for imag…
View article: RNA-Sequencing Predicts a Role of Androgen Receptor and Aldehyde Dehydrogenase 1A1 in Osteosarcoma Lung Metastases
RNA-Sequencing Predicts a Role of Androgen Receptor and Aldehyde Dehydrogenase 1A1 in Osteosarcoma Lung Metastases Open
One-third of pediatric patients with osteosarcoma (OS) develop lung metastases (LM), which is the primary predictor of mortality. While current treatments of patients with localized bone disease have been successful in producing 5-year sur…
View article: Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy Open
We analyze new generalization bounds for deep learning models trained by transfer learning from a source to a target task. Our bounds utilize a quantity called the majority predictor accuracy, which can be computed efficiently from data. W…
View article: When can we reconstruct the ancestral state? Beyond Brownian motion
When can we reconstruct the ancestral state? Beyond Brownian motion Open
Reconstructing the ancestral state of a group of species helps answer many important questions in evolutionary biology. Therefore, it is crucial to understand when we can estimate the ancestral state accurately. Previous works provide a ne…
View article: A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke
A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke Open
Background While many factors are associated with stepping activity after stroke, there is significant variability across studies. One potential reason to explain this variability is that there are certain characteristics that are necessar…
View article: A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke
A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke Open
Background While many factors are associated with stepping activity after stroke, there is significant variability across studies. One potential reason for this variability is that there are some characteristics necessary to achieve greate…
View article: Bayesian active learning with abstention feedbacks
Bayesian active learning with abstention feedbacks Open
View article: Posterior concentration and fast convergence rates for generalized Bayesian learning
Posterior concentration and fast convergence rates for generalized Bayesian learning Open
In this paper, we study the learning rate of generalized Bayes estimators in a general setting where the hypothesis class can be uncountable and have an irregular shape, the loss function can have heavy tails, and the optimal hypothesis ma…
View article: Posterior concentration and fast convergence rates for generalized\n Bayesian learning
Posterior concentration and fast convergence rates for generalized\n Bayesian learning Open
In this paper, we study the learning rate of generalized Bayes estimators in\na general setting where the hypothesis class can be uncountable and have an\nirregular shape, the loss function can have heavy tails, and the optimal\nhypothesis…
View article: When can we reconstruct the ancestral state? A unified theory
When can we reconstruct the ancestral state? A unified theory Open
Ancestral state reconstruction is one of the most important tasks in evolutionary biology. Conditions under which we can reliably reconstruct the ancestral state have been studied for both discrete and continuous traits. However, the conne…
View article: OASIS: An Active Framework for Set Inversion
OASIS: An Active Framework for Set Inversion Open
In this work, we introduce a novel method for solving the set inversion problem by formulating it as a binary classification problem. Aiming to develop a fast algorithm that can work effectively with high-dimensional and computationally ex…
View article: Convergence of maximum likelihood supertree reconstruction
Convergence of maximum likelihood supertree reconstruction Open
Supertree methods are tree reconstruction techniques that combine several smaller gene trees (possibly on different sets of species) to build a larger species tree. The question of interest is whether the reconstructed supertree converges …
View article: Convergence of maximum likelihood supertree reconstruction
Convergence of maximum likelihood supertree reconstruction Open
Supertree methods are tree reconstruction techniques that combine several smaller gene trees (possibly on different sets of species) to build a larger species tree. The question of interest is whether the reconstructed supertree converges …
View article: Consistent Feature Selection for Analytic Deep Neural Networks
Consistent Feature Selection for Analytic Deep Neural Networks Open
One of the most important steps toward interpretability and explainability of neural network models is feature selection, which aims to identify the subset of relevant features. Theoretical results in the field have mostly focused on the p…
View article: Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO
Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO Open
Phylogenetic tree inference using deep DNA sequencing is reshaping our understanding of rapidly evolving systems, such as the within-host battle between viruses and the immune system. Densely sampled phylogenetic trees can contain special …
View article: Consistent feature selection for neural networks via Adaptive Group Lasso
Consistent feature selection for neural networks via Adaptive Group Lasso Open
One main obstacle for the wide use of deep learning in medical and engineering sciences is its interpretability. While neural network models are strong tools for making predictions, they often provide little information about which feature…
View article: Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO
Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO Open
Phylogenetic tree inference using deep DNA sequencing is reshaping our understanding of rapidly evolving systems, such as the within-host battle between viruses and the immune system. Densely sampled phylogenetic trees can contain special …
View article: On the convergence of the maximum likelihood estimator for the transition rate under a 2-state symmetric model
On the convergence of the maximum likelihood estimator for the transition rate under a 2-state symmetric model Open
View article: Consistency and convergence rate of phylogenetic inference via regularization
Consistency and convergence rate of phylogenetic inference via regularization Open
It is common in phylogenetics to have some, perhaps partial, information about the overall evolutionary tree of a group of organisms and wish to find an evolutionary tree of a specific gene for those organisms. There may not be enough info…
View article: Online Bayesian Phylogenetic Inference: Theoretical Foundations via Sequential Monte Carlo
Online Bayesian Phylogenetic Inference: Theoretical Foundations via Sequential Monte Carlo Open
Phylogenetics, the inference of evolutionary trees from molecular sequence data such as DNA, is an enterprise that yields valuable evolutionary understanding of many biological systems. Bayesian phylogenetic algorithms, which approximate a…