Identifying and resolving conflict in mobile application features through contradictory feedback analysis.

As mobile applications proliferate and user feedback becomes abundant, the task of identifying and resolving conflicts among application features is crucial for delivering satisfactory user experiences. This research, motivated to align application development with user preferences, introduces a novel methodology that leverages advanced Natural Language Processing techniques. The paper showcases the use of sentiment analysis using RoBERTa, topic modeling with Non-negative matrix factorization (NMF), and semantic similarity measures from Sentence-BERT.

Enhancing ketoprofen's solubility and anti-inflammatory efficacy with safe methyl-β-cyclodextrin complexation.

Improved solubility and anti-inflammatory (AI) properties are imperative for enhancing the effectiveness of poorly water-soluble drugs, particularly non-steroidal anti-inflammatory drugs (NSAIDs). To address these critical issues, our focus is on obtaining NSAID materials in the form of inclusion complexes (IC) with methyl-beta-cyclodextrin (MCD). Ketoprofen (KTP) is selected as the NSAID for this study due to its potency in treating various types of pain, inflammation, and arthritis.

LiDAR-Based Snowfall Level Classification for Safe Autonomous Driving in Terrestrial, Maritime, and Aerial Environments.

Studies on autonomous driving have started to focus on snowy environments, and studies to acquire data and remove noise and pixels caused by snowfall in such environments are in progress. However, research to determine the necessary weather information for the control of unmanned platforms by sensing the degree of snowfall in real time has not yet been conducted. Therefore, in this study, we attempted to determine snowfall information for autonomous driving control in snowy weather conditions.

The Effect of Rubber-Metal Interactions on the Mechanical, Magneto-Mechanical, and Electrical Properties of Iron, Aluminum, and Hybrid Filler-Based Styrene-Butadiene Rubber Composites.

Multifunctional stretchable rubber composites are gaining attention due to their unique electrical, mechanical, and magnetic properties. However, their high production costs pose economic challenges. This study explores the use of cost-effective metal powders-iron, aluminum, and their 1:1 (vol/vol) hybrid filler-in styrene-butadiene rubber composites, varying from 10 to 20 vol%.

Recent Advances in Utilizing Lignocellulosic Biomass Materials as Adsorbents for Textile Dye Removal: A Comprehensive Review.

This review embarks on a comprehensive journey, exploring the application of lignocellulosic biomass materials as highly effective adsorbents for the removal of textile dyes (cationic and anionic dyes) from wastewater. A literature review and analysis were conducted to identify existing gaps in previous research on the use of lignocellulosic biomass for dye removal. This study investigates the factors and challenges associated with dye removal methods and signifies their uses.

Evaluating the Piezoelectric Energy Harvesting Potential of 3D-Printed Graphene Prepared Using Direct Ink Writing and Fused Deposition Modelling.

This research aims to use energy harvested from conductive materials to power microelectronic components. The proposed method involves using vibration-based energy harvesting to increase the natural vibration frequency, reduce the need for battery replacement, and minimise chemical waste. Piezoelectric transduction, known for its high-power density and ease of application, has garnered significant attention.

Minimally Invasive Forefoot Surgeries Using the Shannon Burr: A Comprehensive Review.

Since the early 2000s, minimally invasive forefoot surgery (MIS), particularly hallux valgus correction, has significantly advanced with the introduction of the Shannon burr. However, despite numerous relevant studies being published, no comprehensive review articles have summarized MIS for various forefoot conditions. Therefore, in this comprehensive review, we examined the relevant studies about the application of MIS (excluding arthroscopy and endoscopy) for various forefoot conditions.

Gossypol derivate as a green anti-corrosion agent in the aqueous phase of crude oil.

Keeping recruitment of green and cost-effective solutions for environmental challenges in view, the current work was designed to solve the problems related to metal corrosion in the aqueous phases of crude oil in chemical industries. Green materials can play an important role in protecting metals from this corrosion. Hence, the green anti-corrosion material based upon gossypol derivate is suggested to solve the above problems.

Recent advances in anticancer mechanisms of molecular glue degraders: focus on RBM39-dgrading synthetic sulfonamide such as indisulam, E7820, tasisulam, and chloroquinoxaline sulfonamide.

Synthetic sulfonamide anticancer drugs, including E7820, indisulam, tasisulam, and chloroquinoxaline sulfonamide, exhibit diverse mechanisms of action and therapeutic potential, functioning as molecular glue degraders. E7820 targets RBM39, affecting RNA splicing and angiogenesis by suppressing integrin α2. Phase I studies have demonstrated some stability in advanced solid malignancies; however, further efficacy studies are required.

Recent advances in sustainable biopolymer-based nanocomposites for smart food packaging: A review.

The main goal of emerging food-packaging technologies is to address environmental issues and minimize their impact, while also guaranteeing food quality and safety for consumers. Bio-based polymers have drawn significant interest as a means to reduce the usage and environmental impact of petroleum-derived polymeric products. Therefore, this current review highlights on the biopolymer blends, various biodegradable bio-nanocomposites materials, and their synthesis and characterization techniques recently used in the smart food packaging industry.

Biological Effects of Green Synthesized Al-ZnO Nanoparticles Using Leaf Extract from (L.) Kuntze on Living Organisms.

The synthesis of Al-ZnO nanoparticles (NPs) was achieved using a green synthesis approach, utilizing leaf extract from (L.) in a straightforward co-precipitation method. The goal of this study was to investigate the production of Al-ZnO nanoparticles through the reduction and capping method utilizing (L.

Self-powered strain sensing devices with wireless transmission: DIW-printed conductive hydrogel electrodes featuring stretchable and self-healing properties.

With rapid advancements in health and human-computer interaction, wearable electronic skins (e-skins) designed for application on the human body provide a platform for real-time detection of physiological signals. Wearable strain sensors, integral functional units within e-skins, can be integrated with Internet of Things (IoT) technology to broaden the applications for human body monitoring. A significant challenge lies in the reliance of most existing wearable strain sensors on rigid external power supplies, limiting their practical flexibility.

Modeling freshwater plankton community dynamics with static and dynamic interactions using graph convolution embedded long short-term memory.

Given the frequent association between freshwater plankton and water quality degradation, several predictive models have been devised to understand and estimate their dynamics. However, the significance of biotic and abiotic interactions has been overlooked. In this study, we aimed to address the importance of the interaction term in predicting plankton community dynamics by applying graph convolution embedded long short-term memory networks (GC-LSTM) models, which can incorporate interaction terms as graph signals.

Exploring the diverse applications of sol-gel synthesized CaO:MgAlO nanocomposite: morphological, photocatalytic, and electrochemical perspectives.

A nanocomposite of CaO:MgAlO was synthesized through a straightforward and cost-effective sol-gel method. The investigation of the novel CaO:MgAlO nanocomposite encompassed an examination of its morphological and structural alterations, as well as an exploration of its photocatalytic activities and electrochemical characteristics. XRD analysis revealed a nanocomposite size of 24.

Evaluation of flow cytometry-based fluorescent antibody to membrane antigen test to measure the humoral immunity against the varicella-zoster virus.

The fluorescent antibody to membrane antigen (FAMA) test is the gold standard for measuring the immunity induced by varicella vaccines with high sensitivity and specificity. However, certain aspects of the FAMA test, such as time consumption, non-automation, and subjective interpretation by observers using fluorescence microscopy, are obstacles to handling large amounts of samples. To overcome these hurdles, flow cytometry was adopted to analyze and compare the flow FAMA titer with the classic FAMA titer.

Biological synthesis of silver nanoparticles using Senna auriculata flower extract for antibacterial activities.

In this study, biological synthesis of silver nanoparticles (AgNPs) using Senna auriculata flower extract for antibacterial activities was reported. The silver spectra compared to the plant extract show a rightward shift in AgNP peaks, indicating successful nanoparticle formation. The absorption band at 302 nm and the disappearance or shift of other peaks further confirm the synthesis.

Sanctions and opportunities: Factors affecting China's high-tech SMEs adoption of artificial intelligence computing leasing business.

Due to sanctions, more Chinese high-tech SMEs are turning to rent AI computing power through cloud service providers. Therefore, it is necessary to give a variety of suggestions for China's high-tech SMEs to better develop AI applications through computing power leasing. Because traditional theories are difficult to explain this new technology adoption behavior, this research combines and extends TTF and UTAUT2 theories to take an empirical research.

Social media influencers and followers' conspicuous consumption: The mediation of fear of missing out and materialism.

This study addresses the existing gap in theoretical and empirical research concerning the impact of social media influencers (SMIs) on followers' purchasing decisions. The primary aim is to explore and elucidate followers' journey from exposure to SMIs to the manifestation of conspicuous consumption. Grounded in the stimulus-organism-response framework and self-determination theory, the research proposes a dual model focusing on mediating factors such as social comparison, desire to mimic, materialism, and fear of missing out (FOMO).

Synergy of histone acetyltransferase inhibitor (HATi) with quercetin inhibits biofilm formation in Candida tropicalis.

Histone acetyltransferase inhibitors (HATi) are mechanism-based inhibitors that show promise in the treatment of several illnesses, including diabetes, hyperlipidemia, cancer, and Alzheimer's disease. The work emphasizes the significance of HATi as a possible treatment strategy against Candida species biofilms. Here, in this study, we found that combining a HATi, anacardic acid (AA), and quercetin, a known flavonoid, significantly prevented biofilm formation by C.

Synergistic design of processable NbO-TiO bilayer nanoarchitectonics: enabling high coloration efficiency and superior stability in dual-band electrochromic energy storage.

This paper introduces a proof of concept for a dual-band electrochromic (EC) device to modulate solar light transmission across visible and near-infrared regions selectively. EC materials based on ion insertion/extraction mechanisms also present the possibility for energy storage, widening its functionality to the supercapacitor platform. The bi-functional performance of dual-band radiation control and energy storage was achieved by exploiting two earth-abundant metal oxides that could absorb two different spectral regions when electrochemically charged.

Application of noncontact sensors for cardiopulmonary physiology and body weight monitoring at home: A narrative review.

Monitoring health status at home has garnered increasing interest. Therefore, this study investigated the potential feasibility of using noncontact sensors in actual home settings. We searched PubMed for relevant studies published until February 19, 2024, using the keywords "home-based," "home," "monitoring," "sensor," and "noncontact.

An improved deep convolutional neural network-based YouTube video classification using textual features.

Video content on the web platform has increased explosively during the past decade, thanks to the open access to Facebook, YouTube, etc. YouTube is the second-largest social media platform nowadays containing more than 37 million YouTube channels. YouTube revealed at a recent press event that 30,000 new content videos per hour and 720,000 per day are posted.