Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches.

Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it challenging to trust predictions, particularly in uncertain cases. This sort of uncertainty can be crucial in medical image analysis; diabetic retinopathy is an example where even slight errors without an indication of confidence can have adverse impacts.

A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time.

This work presents a comprehensive literature review and real-world survey analysis examining the intricate relationship between communal media and psychological concerns within human-computer interaction (HCI). By systematically categorizing research from 1995 to 2023, we observe a significant increase in studies, reflecting the growing recognition of communal media's impact on psychological well-being. Our review delves into various HCI aspects, including demographic effects, emotional sentiment analysis, online social networking, and communal media use intensity.

Early coronary angiography in patients with myocardial infarction without ST elevation after out-of-hospital cardiac arrest: a systematic review and meta-analysis.

Background: Early coronary angiography (CAG) in post-cardiac arrest patients without ST-segment elevation is a topic of debate. This meta-analysis aimed to assess its impact on outcomes.

Methods: A search of Medline and Cochrane up to February 2023 was conducted to identify randomized controlled trials and observational studies comparing patients undergoing early CAG vs.

Promoted Osprey Optimizer: a solution for ORPD problem with electric vehicle penetration.

This paper proposes a new optimization technique to make an integration between the Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles (EV). Here, a modified metaheuristic algorithm, called the Promoted Osprey Optimizer (POO) is used for this purpose. Inspired by the hunting behavior of ospreys, a predatory bird species, the POO algorithm employs various strategies like diving, soaring, and gliding to effectively explore the search space and avoid local optima.

Graph-based analysis of DNA sequence comparison in closed cotton species: A generalized method to unveil genetic connections.

Graph theory provides a systematic method for modeling and analysing complicated biological data as an effective bioinformatics tool. Based on current trends, the number of DNA sequences in the DNA database is growing quickly. To determine the origin of a species and identify homologous sequences, it is crucial to detect similarities in DNA sequences.

Blockchain-enabled infrastructural security solution for serverless consortium fog and edge computing.

The robust development of the blockchain distributed ledger, the Internet of Things (IoT), and fog computing-enabled connected devices and nodes has changed our lifestyle nowadays. Due to this, the increased rate of device sales and utilization increases the demand for edge computing technology with collaborative procedures. However, there is a well-established paradigm designed to optimize various distinct quality-of-service requirements, including bandwidth, latency, transmission power, delay, duty cycle, throughput, response, and edge sense, and bring computation and data storage closer to the devices and edges, along with ledger security and privacy during transmission.

ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning.

Ambient Intelligence is a concept that relates to a new paradigm of pervasive computing and has the objective of automating responses from the system to humans without any human intervention. In social media forensics, gathering, analyzing, storing, and validating relevant evidence for investigation in a heterogeneous environment is still questionable. There is no hierarchy for automation, even though standardization and secure processes from data collection to validation have not yet been discussed.

Antimicrobial and antioxidant activity on Pakistan origin Launaea nudicaulis (L.) Hook f.: A promising halophyte.

Facultative type of Halophytes is those which can easily grow on both saline and non-saline soil conditions Launaea nudicaulis (L.) Hook f. belongs to family compositae [Asteraceae] is facultative halophyte with great medicinal values.

Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features.

Lung cancer is the second foremost cause of cancer due to which millions of deaths occur worldwide. Developing automated tools is still a challenging task to improve the prediction. This study is specifically conducted for detailed posterior probabilities analysis to unfold the network associations among the gray-level co-occurrence matrix (GLCM) features.

Seeds Reduce Anxiety and Depression and Improve Memory.

The current study was planned to assess the neuropharmacological benefits of the seed. These seeds have been conventionally used for the nutritional as well as amelioration of various diseases. However, there was a need to provide a pharmacological basis for such use.

The collaborative role of blockchain, artificial intelligence, and industrial internet of things in digitalization of small and medium-size enterprises.

Due to digitalization, small and medium-sized enterprises (SMEs) have significantly enhanced their efficiency and productivity in the past few years. The process to automate SME transaction execution is getting highly multifaceted as the number of stakeholders of SMEs is connecting, accessing, exchanging, adding, and changing the transactional executions. The balanced lifecycle of SMEs requires partnership exchanges, financial management, manufacturing, and productivity stabilities, along with privacy and security.

Molecular dynamics simulation of entecavir-silver nanoparticles at different biological pH.

Entecavir is a well-known antiviral drug, commonly prescribed for the treatment of hepatitis B and showed promising therapeutic effects against HBV polymerase. The replication of Hepatitis B Virus requires HBV-DNA polymerase and its natural substrate is deoxyguanosine triphosphate. Entercavir inhibit its activity by phosphorylating into its active metabolite.

Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing.

These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare goals. The applications have these tasks such as online healthcare monitoring, live heartbeat streaming, and blood pressure monitoring and need a lot of resources for execution.

Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things.

These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare fog servers. The hospitals are geographically distributed and offer different services to the patients from any ubiquitous network.

The role of natural resources, renewable energy, and globalization in testing EKC Theory in BRICS countries: Method of Moments Quantile.

This paper aims to validate the EKC hypothesis for BRICS countries, in the presence of natural resources, renewable energy, and globalization factors. FMOLS, DOLS, Method of Moments Quantile Regression (MMQR), and heterogeneous panel causality tests have been applied on the BRICS panel from 1990 to 2014. According to FMOLS and DOLS techniques, the EKC hypothesis does exist in BRICS countries in the presence of alternative energy resources and globalization, whereas quantile level analysis does not support globalization as a significant factor for environmental degradation.

A step towards environmental mitigation: Do tourism, renewable energy and institutions really matter? A QARDL approach.

Adverse changes in environmental conditions due to unprecedented industrialization have been attracting the attention of policymakers, researchers, and activists. For developing nations like Pakistan, sustainability issues become even more severe because of unplanned growth and lack of resources. In this study, we have applied the QARDL model to analyze the impact of renewable energy, institutional quality, tourism, and GDP on the ecological footprint in Pakistan from 1995 to 2017.

Caring for the environment: How human capital, natural resources, and economic growth interact with environmental degradation in Pakistan? A dynamic ARDL approach.

Sustainability concerns are increasing globally. Besides, in Pakistan, these concerns are increasing day by day due to lack of education as well as redundancy among human capital, depletion of natural resources and economic growth can lead to pose severe threats to the environment. To address this concern, this study examines the phenomena that in what way natural resources, human capital, and economic growth affect two important indicators i.

A flavonoid driven phyto-pharmacological effects of Capparis decidua Edgew. in rodents.

This study elicits the underlying mechanism(s) of Capparis decidua when used for different gut disorders. HPLC chromatogram of C. decidua extract (CD.

Unicode-8 based linguistics data set of annotated Sindhi text.

Sindhi Unicode-8 based linguistics data set is multi-class and multi-featured data set. It is developed to solve the natural languages processing (NLP) and linguistics problems of Sindhi language. The data set presents information on grammatical and morphological structure of Sindhi language text as well as sentiment polarity of Sindhi lexicons.