A hybrid deep learning-based approach for optimal genotype by environment selection.

The ability to accurately predict the yields of different crop genotypes in response to weather variability is crucial for developing climate resilient crop cultivars. Genotype-environment interactions introduce large variations in crop-climate responses, and are hard to factor in to breeding programs. Data-driven approaches, particularly those based on machine learning, can help guide breeding efforts by factoring in genotype-environment interactions when making yield predictions.

Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels.

Objective: The paper aims to address the problem of massive unlabeled patients in electronic health records (EHR) who potentially have undiagnosed diabetic retinopathy (DR). It is desired to estimate the actual DR prevalence in EHR with 96 % missing labels.

Materials And Methods: The Cerner Health Facts data are used in the study, with 3749 labeled DR patients and 97,876 unlabeled diabetic patients.

Investigating factors influencing the donation intentions and volunteering intentions for the 2023 Turkey earthquake victims.

The 2023 Turkey earthquake, one of the most devastating natural disasters in recent history, highlighted the need to understand factors driving public support. This study aimed to explore the determinants of donation and volunteer intentions for earthquake victims by integrating Protection Motivation Theory and the Extended Theory of Planned Behavior. Using a convenience sampling approach, an online questionnaire with 76 items was distributed to 509 voluntary respondents.

Optimizing the topology of convolutional neural network (CNN) and artificial neural network (ANN) for brain tumor diagnosis (BTD) through MRIs.

The use of MRI analysis for BTD and tumor type detection has considerable importance within the domain of machine vision. Numerous methodologies have been proposed to address this issue, and significant progress has been achieved in this domain via the use of deep learning (DL) approaches. While the majority of offered approaches using artificial neural networks (ANNs) and deep neural networks (DNNs) demonstrate satisfactory performance in Bayesian Tree Descent (BTD), none of these research studies can ensure the optimality of the employed learning model structure.

Prevalence and risk factors associated with psychological distress among children in Penang, Malaysia: A stratified multistage cluster study.

Mental health is a state of mind influences one thinking, feeling and acting from inside and outside that are vital for children's normal growth and development. Psychological distress may results in serious mental health problem if left untreated. Hence, early diagnosis can largely improve the condition from being deteriorating.

IGBT Overcurrent Capabilities in Resonant Circuits.

The control of IGBT (insulated gate bipolar transistor) and MOSFET (metal oxide semiconductor field effect transistor) is of great interest nowadays as they are widely used in electric vehicles, photovoltaic applications, and a multitude of systems. The field of power electronics and their correct activation ensures that the transistors are operated without being destroyed. In this work, a double resonant transformer was built and used to produce very high currents.

Occurrence, Antibiotic Resistance and Biofilm-Forming Ability of in Chicken Carcasses and Cuts.

A total of 104 samples of chicken meat acquired on the day of slaughter from two slaughterhouses in northwestern Spain were analyzed. These comprised 26 carcasses and 26 cuts from each of the two establishments. An average load of 5.

Autoimmune side-effect of immunotherapy in lung cancer treatment revealed from large-scale cohort.

Although immune checkpoint inhibitors have illustrated strong benefits in patient survival and have been widely acknowledged in treating lung cancer, they may be subject to increased risk of immune-related adverse effects (irAEs). Although existing literature have studied the mechanisms of irAEs of immunotherapy, it is difficult to quantify such effect, especially at a large-scale real-world population level. In this paper, the autoimmune-related risk of multiple immune checkpoint inhibitors is compared with that of chemotherapy based on Medicaid and CHIP TAF (T-MSIS Analytic File) data of over 100,000 patient samples from 2012 to 2018.

A multi-stage feature selection method to improve classification of potential super-agers and cognitive decliners using structural brain MRI data-a UK biobank study.

Cognitive aging is described as the age-related decline in areas such as memory, executive function, reasoning, and processing speed. Super-Agers, adults over 80 years old, have cognitive function performance comparable to middle-aged adults. To improve cognitive reserve and potentially decrease Alzheimer's disease (AD) risk, it is essential to contrast changes in regional brain volumes between "Positive-Agers" who have superior cognitive performance compared to their age peers but are not 80 years old yet and aging adults who show cognitive decline (i.

Adaptive classification of artistic images using multi-scale convolutional neural networks.

The current art image classification methods have low recall and accuracy rate issues . To improve the classification performance of art images, a new adaptive classification method is designed employing multi-scale convolutional neural networks (CNNs). Firstly, the multi-scale Retinex algorithm with color recovery is used to complete the enhancement processing of art images.

Development of continuous warning system for timely prediction of septic shock.

As delayed treatment of septic shock can lead to an irreversible health state, timely identification of septic shock holds immense value. While numerous approaches have been proposed to build early warning systems, these approaches primarily focus on predicting the future risk of septic shock, irrespective of its precise onset timing. Such early prediction systems without consideration of timeliness fall short in assisting clinicians in taking proactive measures.

Combating multidrug-resistant (MDR) Staphylococcus aureus infection using terpene and its derivative.

Multidrug-resistant (MDR) Staphylococcus aureus represents a major global health issue resulting in a wide range of debilitating infections and fatalities. The slow progression of new antibiotics, limited choices for treatment, and scarcity of new drug approvals create immense obstacles in new drug line development. S.

A comprehensive multi-objective framework for the estimation of crash frequency models.

A common and challenging data and modeling aspect in crash analysis is unobserved heterogeneity, which is often handled using random parameters and special distributions such as Lindley. Random parameters can be estimated with respect to each observation for the entire dataset, and grouped across segments of the dataset, with variable means, or variable variances. The selection of the best approach to handle unobserved heterogeneity depends on the data characteristics and requires the corresponding hypothesis testing.

A case of amusia with beat deafness and apraxia of speech.

After experiencing two ischemic brain attacks, a 40-year-old, right-handed, female amateur cello player developed apraxia of speech (AOS) and amusia, especially on the aspect of the beat. Her tempo became gradually faster, but while playing, she could not recognize that. When she listened to her own recorded performances, she could identify the differences immediately and precisely.

Drink like a man? Modified Poisson analysis of adolescent binge drinking in the US, 1976-2022.

This study estimates temporal trajectories and sociodemographic disparities in underage adolescent binge drinking in the United States over the past four decades. By compiling 47 waves of national representative data from the Monitoring the Future (MTF) study between 1976 and 2022, we analyzed two types of adolescent binge drinking behaviors, past-two-week excessive drinking and drunkenness in the past 30 days, using the innovative modified Poisson (mixture) approach to grouped and right-censored counts (GRC). The overall decrease in incidence rates was attributable to substantial reductions in the risks of excessive drinking (45.

Anti-hepatocellular carcinoma activities of novel hydrazone derivatives downregulation of interleukin-6.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related morbidity worldwide. Sorafenib is a first-line drug for the treatment of HCC, however, it is reported to cause serious adverse effects and may lead to resistance in many patients. In this study, 20 hydrazone derivatives incorporating triazoles, pyrazolone, pyrrole, pyrrolidine, imidazoline, quinazoline, and oxadiazine moieties were designed, synthesized, and characterized.

Rice husk-fortified beef sausages: Cholesterol oxidation products, physicochemical properties, and sensory attributes.

The effect of rice husk flour (RHF) supplementation on the physicochemical properties, oxidative stability, and sensory attributes of beef sausages was examined. Beef sausages were formulated with either 0 % RHF + 15 % wheat flour (WF), RHF-0; 5 % RHF + 10 % WF, RHF-5; 10 % RHF + 5 % WF, RHF-10, or 15 % RHF + 0 % WF, RHF-15, and cooked at 200 °C for 20 min. RHF supplementation significantly increased dietary fiber while decreasing moisture content (P < 0.

Jugular Venous Catheterization is Not Associated with Increased Complications in Patients with Aneurysmal Subarachnoid Hemorrhage.

Background: Classic teaching in neurocritical care is to avoid jugular access for central venous catheterization (CVC) because of a presumed risk of increasing intracranial pressure (ICP). Limited data exist to test this hypothesis. Aneurysmal subarachnoid hemorrhage (aSAH) leads to diffuse cerebral edema and often requires external ventricular drains (EVDs), which provide direct ICP measurements.

Associations between family planning, healthcare access, and female education and vaccination among under-immunized children.

Background: Increasing childhood vaccination, family planning, healthcare access, and women's empowerment are targets of the Sustainable Development Goals (SDG). Barriers to healthcare access impede vaccination; tackling goals holistically could create larger gains than siloed efforts. We studied Nepal, Senegal, and Zambia to test the association between childhood vaccinations and other SDG indicators to identify clustered deprivations.

Actual usage assessment among cloud storage consumers in the Philippines using a machine learning ensemble approach.

Cloud storage has been widely considered among developed and developing countries due to its ability to provide a platform for large data and information storage. Developing countries like the Philippines have started using this storage and have only since considered the free services. With the aim to understand utility for development and continuous patronage, there has been lacking evidence in the intention and actual use of cloud storages.

Syngas biological transformation into hydroxyectoine.

Syngas from the gasification of organic wastes represents a promising feedstock for fostering a sustainable bioeconomy. However, its potential is currently constrained by the low-value products generated. Osmolytes, such as hydroxyectoine, are high-value compounds, however, their biological production as isolated osmolytes is not yet cost-effective.