Navigating ethical challenges in digital transformation: insights on climate adaptation, microbiology, healthcare, robotics, and AI under the EU AI act: an experts panel discussion.

The ethical complexities of technological advancement are growing as fields such as climate adaptation, microbiology, healthcare, robotics, and artificial intelligence (AI) evolve rapidly. While these technologies offer innovative solutions to global challenges, they raise significant ethical concerns. In climate adaptation, AI-driven models and remote sensing technologies prompt questions about data privacy, environmental justice, and equitable access, especially for vulnerable populations.

Influence of seasonal and spatial variations in physico-chemical parameters and plankton and macrophyte abundance on the diet composition of Labeo gonius in Chashma Lake, Indus River.

The feeding ecology of freshwater fish is strongly influenced by environmental variability, yet few studies have assessed how both seasonal and spatial changes in water quality and plankton dynamics affect the diet of native species in South Asian river-lake systems. This study explores seasonal and spatial variations in the diet composition of Labeo gonius in relation to physico-chemical parameters and plankton abundance in Chashma Lake, Pakistan. Monthly sampling from 2022 to 2023 was conducted at three ecologically distinct sites to assess water quality, phytoplankton, macrophytes, zooplankton, and fish gut content.

Prevalence and integrated risk assessment of antibiotics from River Chenab Pakistan; human and ecotoxicological prospectives.

Antibiotics are widespread consumed and released into the riverine ecosystem of Pakistan without proper treatment. This pioneering study investigated fluoroquinolones, macrolides, oxazolidinones and cephalosporins antibiotics from 11 sites of the Chenab River, Pakistan. Ecotoxicological and human health risk characterization was performed through GIS based geostatistical approaches, equipped with integrated risk modeling.

Synthesis of Sol-Gel Assisted TiO Nanostructures for Photocatalytic Degradation of Methylene Blue.

It is highly needed for future generations to develop a low-cost photocatalysts for the degradation of colored dyes to save our environment. Herein, we report an efficient and low-cost sol-gel method for the synthesis of titanium dioxide (TiO) nanostructures. The structural, compositional, optical, and morphological properties of the as-synthesized samples have been analyzed by various analytical techniques, including X-ray Diffraction, Fourier Transform Infrared Spectroscopy (FTIR), Ultraviolet-Visible Spectroscopy (UV-Vis), Energy-Dispersive X-ray Spectroscopy (EDX), and Scanning Electron Microscope (SEM).

Biochemical and Histopathological Impact of DMBA-Induced Breast Cancer and Therapeutic Potential of Silk Sericin and Sericin Silver Nanoparticles.

Nanotechnology is an emerging field in the therapeutic domain of cancer research. The development of novel anticancer agents in combination with nanotechnology is a highly promising area as it could offer safer and more effective delivery methods for better overall outcomes. Considering this, a naturally occurring silkworm protein (sericin) was combined with nanoparticle formulations to explore the subsequent anticancer effects in breast cancer.

UICD: A new dataset and approach for urdu image captioning.

Advancements in deep learning have revolutionized numerous real-world applications, including image recognition, visual question answering, and image captioning. Among these, image captioning has emerged as a critical area of research, with substantial progress achieved in Arabic, Chinese, Uyghur, Hindi, and predominantly English. However, despite Urdu being a morphologically rich and widely spoken language, research in Urdu image captioning remains underexplored due to a lack of resources.

Recurrent and Novel Pathogenic Variants in Genes Involved with Hearing Loss in the Pakistani Population.

Background: Molecular diagnostic rates for hereditary hearing loss vary by genetic ancestry, highlighting the importance of population-specific studies. In Pakistan, where consanguineous marriages are prevalent, genetic research has identified many autosomal recessive genes, advancing understanding of rare and novel hearing loss mechanisms. This study aimed to identify pathogenic genetic variants in 31 families from Azad Kashmir, Pakistan, presenting non-syndromic hearing loss.

Real-Time Quality Control in Mango Juices Utilizing Synchronous Fluorescence Spectroscopy.

This study employs synchronous fluorescence spectroscopy to analyze the biochemical composition and quality of one of the most commercialized tropical fruit juice of mango. Commercially available juices in comparison with pure mango pulp from Anwar Ratol and white Chaunsa cultivars showed distinct bands oweing to the emission from tryptophan, phenolic compounds, riboflavin and chlorophyll, emphasizing the nutritional and phytochemical richness of mango pulp. Dilutions of pure mango pulp significantly decreased overall band intensities, indicating reduced nutritional content that can be marked in water adulterated samples.

Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting.

The transition to sustainable energy has become imperative due to the depletion of fossil fuels. Solar energy presents a viable alternative owing to its abundance and environmental benefits. However, the intermittent nature of solar energy requires accurate forecasting of solar irradiance (SI) for reliable operation of photovoltaics (PVs) integrated systems.

Photocatalytic Degradation of Synozol Navy Blue Dye by Ni-Cu-Ag Dopped ZnO: An Insight Into Photoluminescence, Scavenging, Mechanism and Kinetic Aspects.

Cost-effective, sustainable, and eco-friendly strategies are crucial for treating organic pollutants in industrial wastewater. ZnO is a promising photocatalyst due to its affordability, environmentally benign nature, and ability to fully mineralize pollutants. However, its limited effectiveness under visible light is a major drawback.

Phytofabricated silver nanoparticles unlock new potential in tomato plants by combating wilt infection and enhancing plant growth.

The environment faces serious threats from climate change, food security challenges, and a growing population. The UN Global Goals emphasize the urgent need for sustainable agriculture to secure food production. We must adopt innovative solutions to bolster agroecological resilience and increase food output with minimal environmental impact.

Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum.

Cryptocurrency represents a form of asset that has arisen from the progress of financial technology, presenting significant prospects for scholarly investigations. The ability to anticipate cryptocurrency prices with extreme accuracy is very desirable to researchers and investors. However, time-series data presents significant challenges due to the nonlinear nature of the cryptocurrency market, complicating precise price predictions.

Synthesis and Characterization of Zn(1-x-y)MnxCoyO NPs for Liver Cancer Treatment.

Introduction: In this study, pure and cobalt manganese-doped ZnO nanoparticles (Zn(1-x-y)MnxCoyO NPs) at varying concentrations were synthesized through sol-gel method, and zinc acetate dihydrate, manganese nitrate, cobalt acetate, and diethyl amine were used as precursors, with samples finally calcined at 700oC.

Method: The hexagonal wurtzite structure of pure and co-doped ZnO NPs was confirmed by X-ray diffraction (XRD). The computed grain sizes of pure and co-doped ZnO NPs, according to Scherrer's formula, were 32 nm, 32.

Evaluation of antibody titer and associated risk factors of goat pox vaccine against lumpy skin disease in crossbred buffaloes.

Lumpy skin disease (LSD) is an infectious disease affecting large ruminants, caused by the lumpy skin disease virus (LSDV). It is characterized by symptoms such as hyperthermia, emaciation, lymphadenopathy, and skin nodules. Pregnant animals affected by LSD often experience abortions and may develop infertility syndrome, while affected males can become sterile.

Phytochemical-Mediated Synthesis and Characterization of Silver Nanoparticles Using Mirabilis jalapa Leaf Extract and Their Antibacterial.

Silver nanoparticles (AgNPs) synthesized through green methods have garnered significant attention in nanomedicine due to their unique inorganic properties and potential for a wide range of biomedical applications, including drug delivery, wound healing, and antimicrobial therapies. This study presents a novel, eco-friendly method for synthesizing AgNPs using Mirabilis jalapa leaf extract, which functions as both a reducing and stabilizing agent. The leaf extract, rich in bioactive compounds such as triterpenes, alkaloids, flavonoids, steroids, and phenolic compounds, plays a critical role in the reduction of silver ions (Ag) to form elemental AgNPs.

Vibration-Based Anomaly Detection for Induction Motors Using Machine Learning.

Predictive maintenance of induction motors continues to be a significant challenge in ensuring industrial reliability and minimizing downtime. In this study, machine learning techniques are utilized to enhance fault diagnosis through the use of the Machinery Fault Database (MAFAULDA). A detailed extraction of statistical features was performed on multivariate time-series data to capture essential patterns that could indicate potential faults.

Design, Synthesis, and In Silico Molecular Docking Studies of Adamantanyl Hydrazinylthiazoles as Potential Antidiabetic Agents.

Diabetes mellitus (DM) is a widespread disease that poses a major threat to millions of people. To address this issue, we have synthesized seventeen new 4-(adamantan-1-yl)-(2-(arylidene)hydrazinyl)thiazoles (3a-q) via Hantzsch synthetic approach. The molecular structures of all the compounds were confirmed using FT-IR, H- and C-NMR spectroscopy, and HR-mass spectrometry.

Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute.

The study aims to estimate the average water level of a river using an auxiliary attribute under a predictive approach. As the average water level varies in different seasons, the study considers the average water level as a study variable and the season an auxiliary attribute. A real data set of the water level of the Jhelum River at Mangla is obtained.

Enhanced anticancer and biological activities of environmentally friendly Ni/Cu-ZnO solid solution nanoparticles.

The study investigates the impact of incorporating Ni and Cu into the lattice of ZnO nanoparticles (NPs) to enhance their anticancer and antioxidant properties. Characterization techniques including pXRD, FTIR, UV-visible absorption spectroscopy, FESEM, and EDAX confirm the successful synthesis and structural modifications of Ni/Cu-ZnO NPs. Anticancer activity against breast cancer (MDA) and normal skin (BHK-21) cells reveals dose-dependent cytotoxicity, with Ni/Cu-ZnO NPs exhibiting higher efficacy against MDA cells while being less harmful to BHK-21 cells.

Auditory-GAN: deep learning framework for improved auditory spatial attention detection.

Recent advances in auditory attention detection from multichannel electroencephalography (EEG) signals encounter the challenges of the scarcity of available online EEG data and the detection of auditory attention with low latency. To this end, we propose a complete deep auditory generative adversarial network auxiliary, named auditory-GAN, designed to handle these challenges while generating EEG data and executing auditory spatial detection. The proposed auditory-GAN system consists of a spectro-spatial feature extraction (SSF) module and an auditory generative adversarial network auxiliary (AD-GAN) classifier.

Turmeric counteracts manganese-associated deteriorations in liver and kidney tissues: histomorphometric and biochemical insights.

Nowadays, Manganese (Mn) become an unavoidable ingredient in agriculture, medical and manufacturing industries. Manganese deficiency is rare, and even though recurrent exposure to manganese is inevitable for humans, concerns have been voiced regarding public health hazards. This research was designed to evaluate the manganese toxicity and potential protective effects of turmeric in Swiss albino male mice.

Management of yield losses in Vigna radiata (L.) R. Wilczek crop caused by charcoal-rot disease through synergistic application of biochar and zinc oxide nanoparticles as boosting fertilizers and nanofungicides.

The mung bean crop (Vigna radiata (L.) R. Wilczek) is widely recognized as a key source of pulse food worldwide.

A comprehensive study on mechanisms of action of fibroin, aloe vera, and ginger extracts through histochemical, inflammation biomarkers, and matrix metalloproteinases analysis against diabetic wounds.

Introduction: Diabetes causes complications like delayed wound healing for a long time. Fibroin, aloe vera, and ginger extracts along with their combinations are used for diabetic wound healing.

Methods: After induction of diabetes, The wound healing effects of fibroin (50 mg/ml), aloe vera gel (50 mg/ml), and ginger extract (30 mg/ml), individually and in combination, were assessed.

Evaluation of self-cleaning mechanisms for improving performance of roof-mounted solar PV panels: A comparative study.

Solar panel installation is generally exposed to dust. Therefore, soiling on the surface of the solar panels significantly reduces the effectiveness of solar panels. Accumulation of dust also shortens their lifespan and reduces efficiency by about 15% to 20%.