Search Results (524)

Moss in container seedling nurseries competes with seedlings for water and nutrients while blocking light, thereby inhibiting growth. This study aimed to address this issue by evaluating the moss control efficacy of 11 chemical compounds, including terpinyl acetate (TA), limonene, and Hinoki essential oil (HEO). The plate experiment results led to the selection of 6 substances (TA, limonene, HEO, pine leaf extract, baking soda, pelargonic acid) that stably controlled both Polytrichum commune Hedw. and Marchantia. Polymorpha L. When TA, limonene, and HEO were combined with surfactants, moss control rates increased and showed stable performance. In the container seedling experiment, TA, limonene, and HEO demonstrated high moss control effects while exhibiting low growth inhibition. When these three substances were combined with surfactants, the electrolyte leakage index (ELI) decreased, indicating minimal cell membrane damage. Additionally, TA treatment maintained stable soil physicochemical properties with no significant changes in pH or nutrient levels. Microscopic analysis of moss cells showed cell wall deformation and expansion of intercellular spaces in the three substance treatment groups. Future verification of long-term effectiveness, expansion of application targets, and assessment of economic feasibility could lead to the development of eco-friendly moss removal agents for improving container seedling quality. Full article

Poly (ADP-ribose) polymerase 1 (PARP1) is an important enzyme that plays a central role in the DNA damage response, facilitating repair of single-stranded DNA breaks via the base excision repair (BER) pathway and thus genomic integrity. Its therapeutic relevance is compounded in breast cancer, particularly in BRCA1 or BRCA2 mutant cancers, where compromised homologous recombination repair (HRR) leaves a synthetic lethal dependency on PARP1-mediated repair. This review comprehensively discusses the recent advances in computational chemistry for the discovery of PARP1 inhibitors, focusing on their application in breast cancer therapy. Techniques such as molecular docking, molecular dynamics (MD) simulations, quantitative structure–activity relationship (QSAR) modeling, density functional theory (DFT), time-dependent DFT (TD-DFT), and machine learning (ML)-aided virtual screening have revolutionized the discovery of inhibitors. Some of the most prominent examples are Olaparib (IC₅₀ = 5 nM), Rucaparib (IC₅₀ = 7 nM), and Talazoparib (IC₅₀ = 1 nM), which were optimized with docking scores between −9.0 to −9.3 kcal/mol and validated by in vitro and in vivo assays, achieving 60–80% inhibition of tumor growth in BRCA-mutated models and achieving up to 21-month improvement in progression-free survival in clinical trials of BRCA-mutated breast and ovarian cancer patients. These strategies enable site-specific hopping into the PARP1 nicotinamide-binding pocket to enhance inhibitor affinity and specificity and reduce off-target activity. Employing computation and experimental verification in a hybrid strategy have brought next-generation inhibitors to the clinic with accelerated development, higher efficacy, and personalized treatment for breast cancer patients. Future approaches, including AI-aided generative models and multi-omics integration, have the promise to further refine inhibitor design, paving the way for precision oncology. Full article

This study presents a unified, design-oriented equation for the torsion constant J of linearly tapered, non-prismatic rectangular members, covering two canonical geometries: (i) singly tapered bars, in which only the depth varies linearly along the longitudinal axis, and (ii) doubly tapered bars, in which both width and depth vary linearly. The formulation provides the spatial variation J(x) and enables evaluation of the associated shear stress distribution and angle of twist. Accuracy is assessed against classical elasticity solutions—Prandtl’s membrane analogy, single- and double-Fourier series solutions—as well as independent finite element analyses, demonstrating close agreement over a broad parametric range. A dimensionless coefficient $\varnothing (x)=J(x)/(b_2^3{h}_2)$ is introduced to elucidate trends: $\varnothing$ approaches 1/3 in the prismatic, very-narrow limit $({\lambda }_h={\lambda }_b=1,\alpha \approx 0)$, consistent with the exact solution; $\varnothing$ increases with increasing taper ratios in depth and width (${\lambda }_h,{\lambda }_b$) and decreases with increasing cross-sectional aspect ratio α. The proposed equation consolidates the treatment of tapered rectangular members into a single, practical framework, offering a computationally efficient tool for preliminary sizing and detailed design verification. Full article

Disasters caused by natural hazards, including the August 2023 floods in Slovenia and the 2020 earthquakes in Croatia, resulted in a combined damage and loss of about EUR 26 billion. Indemnity insurance covered only a small share, shifting recovery to public budgets. This review examines whether parametric insurance can provide transparent, pre-arranged, and auditable post-event liquidity to smooth public finances and support timely recovery. A structured qualitative review of peer-reviewed studies, supervisory materials, and EU and national law assesses data readiness, enforceability, and consumer protection duties. EU rules address parts of prudential and conduct risk. However, gaps persist in trigger verification, automated execution, and in the treatment of third-party trigger data sources and calculation methodologies documented for supervisory reviews and audits (no published parametric-specific accreditation standards). The core gap reflects the low take-up of catastrophe insurance rather than a low overall insurance penetration. Parametric cover is treated strictly as a complement to indemnity insurance. We outline narrowly scoped pilots using verifiable, publicly sourced triggers, version-controlled calculations, pre-tested basis risk disclosures, and reversible, auditable settlements with human oversight. Parametric designs add value only when verifiable triggers, transparent disclosures, and supervisory audits are embedded ex ante. Full article

Solid tumors collectively drive the global cancer burden, with profound molecular heterogeneity demanding precision and molecularly informed management. Advances in sequencing technologies have established molecular taxonomy as a cornerstone of clinical oncology, progressively superseding traditional histopathological classifications. Sanger sequencing remains the gold standard for validating guideline mandated actionable variants. Next-generation sequencing (NGS) has revolutionized early cancer detection through liquid biopsy applications and enabled the reclassification of diagnostically challenging tumor subtypes. Emerging long-read platforms offer unique capabilities to resolve complex genomic rearrangements, structural variants, and therapy-induced epigenetic remodeling. Consequently, therapeutic strategies are shifting from organ-centric approaches to mutation-specific interventions, exemplified by non-small-cell lung cancer, where molecular stratification drives substantial improvements in treatment response. Nevertheless, temporal tumor heterogeneity, biological contamination, and computational limitations highlight the urgent need for robust, integrated verification systems. Collectively, this evolution positions sequencing as the operational backbone of adaptive precision oncology across solid tumors. Here, we synthesize our laboratory findings with the current literature to comprehensively review the diagnostic, therapeutic, and prognostic applications of first- through fourth-generation sequencing technologies and discuss future directions in this rapidly evolving field. Full article

Background: Breast cancer remains a major global health threat to women. While current therapies exist, their limitations necessitate novel strategies. Melatonin, an endogenous circadian regulator, has shown anti-tumor potential, but its mechanisms from a circadian perspective require further exploration. Methods: The anti-tumor effects of melatonin were evaluated through cell proliferation, colony formation, and apoptosis assays. Through data analysis and experimental verification at the RNA and protein levels, the regulatory effect of it on the core clock gene BMAL1 was studied. The role of BMAL1 in mediating melatonin’s suppression of glucose metabolism was assessed by measuring glucose uptake and lactate production. Downstream effector molecules of BMAL1 were identified through molecular interaction and transcriptional regulation analyses. Results: Melatonin significantly inhibited breast cancer cell proliferation and colony formation and induced apoptosis. Mechanistically, it upregulates the core clock gene BMAL1, which suppresses glucose metabolism. ALDH3A1 was identified as a key downstream target of BMAL1, defining a novel “melatonin-BMAL1-ALDH3A1” axis. In vivo studies confirmed that this axis effectively inhibits tumor growth without apparent toxicity, and SR8278 also shows a synergistic effect when used in combination with melatonin. Conclusions: Our findings elucidate the role of the “melatonin-BMAL1-ALDH3A1” axis in combating breast cancer, offering a new direction for treatment and laying the groundwork for developing precision chronotherapy-based combination regimens. Full article

This study focuses on the pre-treatment cleaning technology for the polyimide (PI) substrate of flexible nine-in-one microsensors. The environmentally friendly cleaning agent B, developed by Sea Energe, was innovatively used to replace traditional organic solutions (acetone, methanol, and isopropyl alcohol) to verify its feasibility and application potential in Micro-Electro-Mechanical Systems (MEMS) processes. Cleaning agent B, developed by Sea Energe, was used for the first time to clean the PI substrate of flexible nine-in-one microsensors, and the flexible nine-in-one microsensor was used as a verification platform to compare the cleaning performance with traditional organic solutions (acetone, methanol, and isopropyl alcohol). The experimental results proved that cleaning agent B developed by Sea Energe effectively removed contamination from the PI substrate surface while avoiding the environmental impact and process compatibility issues associated with traditional organic solvents. To verify its reliability, the developed flexible nine-in-one microsensor was embedded in the hydrogen end flow channel of a hydrogen/vanadium redox flow battery (HVRFB) to perform real-time monitoring of multiple parameters, including hydrogen concentration, voltage, current, conductivity, temperature, humidity, flow, pressure, and pH. The experimental results proved that using cleaning agent B, developed by Sea Energe, to clean the PI substrate and the subsequent flexible nine-in-one microsensor resulted in comparable operational stability and measurement accuracy to traditional organic solution (acetone, methanol, and isopropyl alcohol) cleaning processes. This experimental result verifies that cleaning agent B, developed by Sea Energe, not only has an excellent cleaning effect, but also meets the requirements for highly reliable microsensor development, potentially offering an alternative solution for the future introduction of green processes into semiconductors, MEMSs, and various application fields. Full article

The Internet of Medical Things (IoMT) comprises the application of traditional Internet of Things (IoT) technologies in the healthcare domain. IoMT ensures seamless data-sharing among hospitals, patients, and healthcare service providers, thereby transforming the medical environment. The adoption of IoMT technology has made it possible to provide various medical services such as chronic disease care, emergency response, and preventive treatment. However, the sensitivity of medical data and the resource limitations of IoMT devices present persistent challenges in designing authentication protocols. Our study reviews the overall architecture of the IoMT and recent studies on IoMT protocols in terms of security requirements and computational costs. In addition, this study evaluates security using formal verification tools with Scyther and SVO Logic. The security requirements include authentication, mutual authentication, confidentiality, integrity, untraceability, privacy preservation, anonymity, multi-factor authentication, session key security, forward and backward secrecy, and lightweight operation. The analysis shows that protocols satisfying a multiple security requirements tend to have higher computational costs, whereas protocols with lower computational costs often provide weaker security. This demonstrates the trade-off relationship between robust security and lightweight operation. These indicators assist in selecting protocols by balancing the allocated resources and required security for each scenario. Based on the comparative analysis and a security evaluation of the IoMT, this paper provides security guidelines for future research. Moreover, it summarizes the minimum security requirements and offers insights that practitioners can utilize in real-world settings. Full article

Water is an essential resource whose quality is threatened by emerging pollutants, including microplastics (MP), whose persistence, bioaccumulation capacity and ecotoxic potential pose a growing risk to ecosystems and human health. Wastewater treatment plants (WWTPs) have been identified as one of the main sources of these pollutants, as conventional treatments are insufficient to remove them completely. In response to this problem and with the aim of finding more efficient and sustainable solutions, a study has been carried out at WWTP with a pilot MP capture plant capable of detecting, quantifying and removing these particles from different wastewater sources with high precision and sustainability. This proposal represents a significant advance in the mitigation of invisible pollution, contributing to the protection of the environment and public health, achieving an efficiency of over 80% in the removal of plastic particles. This system not only addresses the challenge of environmental protection but also represents an unavoidable commitment to a healthier, more equitable, and sustainable development model for current and future generations, directly contributing to strategic action to advance the fulfillment of several Sustainable Development Goals (SDGs) promoted by the UN (SDG 3, SDG 6, SDG 12, SDG 14 and SDG 15). Full article

Rheumatoid arthritis (RA) is a systemic autoimmune disorder marked by chronic inflammation of small synovial joints, with frequent extra-articular involvement of the skin and eyes. Prolonged methotrexate therapy for RA is often accompanied by serious side effects. Therefore, new drugs with less toxicity and greater effectiveness need to be developed. The ginsenoside 20(R)-25-methoxyl-dammarane-3β,12β,20-triol (AD-1), purified from Panax ginseng berry, exhibits potent anti-inflammatory and anti-cancer activities. However, the pharmacological mechanism of AD-1 in RA remains unclear. This study explored the potential anti-RA effects of AD-1 using an integrative strategy that combined network pharmacology, molecular docking, molecular dynamics simulation, and in vitro pharmacological validation. Enrichment analyses of KEGG and GO terms based on network pharmacology pointed to the PI3K/Akt signaling axis as a key regulatory pathway modulated by AD-1. Molecular docking and dynamics simulations revealed that AD-1 may have a close interaction with PIK3R1 and AKT1, demonstrating a stabilizing effect. Then, after experimental verification using human rheumatoid arthritis fibroblasts (MH7A), it was found that AD-1 suppressed cell proliferation, migration, and invasion and promoted apoptosis. Subsequent analysis of the RABC databases revealed that PIK3R1 and AKT1 were upregulated in RA, while AD-1 reduces phosphorylation of PI3K and Akt. In conclusion, these findings indicate that AD-1 exerts its anti-RA action, at least in part, through modulation of the PI3K/Akt signaling pathway and induction of apoptosis in synovial cells. This study provides a basis and new strategies for the role of ginsenosides in the treatment of RA. Full article

Skin diseases, affecting one-third of the population, are a growing global health problem. The complexity of skin architecture, along with diverse symptomatology and intricate pathogenesis of dermatological disorders, highlights the urgent need for novel therapeutic strategies. Effective treatment of impaired wound healing and chronic skin diseases, including atopic dermatitis and psoriasis, remains challenging. Phytoterapeutics are increasingly investigated for their dermatologic potential, with numerous natural products of established use. Proanthocyanidins (PACs), a subclass of polyphenolic compounds, renowned for their anti-inflammatory and antioxidant properties, are promising candidates for novel solutions. This review article synthesizes the recent 25 years of research on biomolecular mechanisms, pharmacological effects, and phytochemical aspects of PACs, in the context of treating inflammatory-related skin problems. The available data highlight pro-regenerative, pro-angiogenic, antioxidative, and anti-inflammatory effects of PACs in accelerating wound closure. Preclinical data suggest their potent ability to mitigate chronic skin inflammatory disorders, including psoriasis and atopic dermatitis. Moreover, their photoprotective properties translate to the prevention of UV-induced skin inflammation. However, critical knowledge gaps remain regarding clinical verification and structure-activity relationships of PACs as dermatologic agents. Further optimization of topical formulation systems for PACs is also pressingly needed. Bridging traditional phytotherapy with novel discoveries in molecular pharmacology and pharmaceutical technology could help to design innovative PAC-based approaches for treating inflammatory skin diseases and impaired wound healing. Full article

Alanine dosimetry based on Electron Paramagnetic Resonance (EPR) spectroscopy has been a reliable reference and transfer dosimetry method in high-dose applications, valued for its high precision, accuracy and long-term stability. Additional characteristics, such as dose-rate independence up to 10¹⁰ Gy/s under electron beam (e-beam) irradiation, electron energy independence and tissue equivalence, position alanine EPR as a promising candidate to address dosimetric challenges arising in e-beam Flash Radiotherapy (RT), where radiation energy is delivered at Ultra-High Dose-Rates (UHDR) ≥ 40 Gy/s. At such dose-rates, reliable real-time monitoring dosimeters such as ionization chambers in conventional RT, suffer from ion recombination, compromising accuracy in dose determination. Several studies are currently focused on developing real-time beam monitoring systems dedicated specifically for e-beam Flash RT. This creates a need for standardized reference dosimetry methods to validate beam parameters determined by these systems under investigation. This review provides an overview of the potential and limitations of the alanine EPR dosimetry method for control, validation and verification of e-beam Flash RT beam parameters at doses less than 10 Gy, where the method has shown low sensitivity and increased uncertainty. It further discusses strategies to optimize alanine EPR measurements to enhance sensitivity and accuracy at these dose levels. Improved measurement procedures will ensure reliable and accurate e-beam Flash RT accelerator commissioning, performance checks, patient safety and treatment efficacy across all therapeutic dose ranges. Full article

In this study, the differences in gene expression of Stropharia rugosoannulata at different treatment times under high temperature and drought stress were analyzed by transcriptomics. Here, a total of 74,571 transcripts and 16,233 unigenes were identified, with an average assembly length of 3002 bp. A total of 10,248 differentially expressed genes (DEGs) were identified. DEG analysis indicated that the numbers of DEGs under high-temperature stress for 1 d, 2 d, and 3 d were 798, 851, and 1484, respectively. These DEGs were involved in 96 GO functional categories and 69 KEGG metabolic pathways. Meanwhile, the numbers of DEGs under drought stress for 3 d, 6 d, and 9 d were 421, 1072, and 2880, respectively. These DEGs were involved in 108 GO functional categories and 78 KEGG metabolic pathways. Further analysis of the metabolic pathway (ko04011) commonly enriched by DEGs identified 15 candidate genes responding to high-temperature or drought stress. Eight candidate genes were randomly selected for qRT-PCR verification, and the qRT-PCR results were basically consistent with the transcriptome datasets. These findings provide critical candidate genes for understanding the molecular regulation mechanism of S. rugosoannulata in response to high temperature and drought stress and have important reference value for its stress resistance breeding. Full article

Background: Despite considerable advances to improve colorectal cancer (CRC) survival over the last decade, therapeutic challenges remain due to the rapid metastatic dissemination of primary tumors. This study revealed the apoptotic and anti-growth mechanism of VTD, a previously used anti-hypertensive supplement, can elevate UBXN2A, a known tumor suppressor protein in CRC, and simultaneously enhance intrinsic and extrinsic apoptosis in metastatic cancer cells. Methods and Results: An AOM/DSS mouse model of CRC showed that UBXN2A haplosufficient (UBXN2A +/−) mice treated with VTD had less tumor burden than mice with the full UBXN2A gene treated with vehicle. We have previously shown that casein-coated mesoporous silica nanoparticles (MSNs) offer an effective local delivery of drugs at tumor sites. Our findings demonstrate that the high rate of extracellular release of matrix metalloproteinases (MMPs), particularly MMP-7, by metastatic colon cancer cells, triggers the release of VTD from casein-coated mesoporous MSNs. This shows the “Zip Code” mechanism for the local enrichment of VTD at the tumor sites. After in vitro drug release verification, two independent mouse experiments, a xenograft and a splenolepatic metastatic mouse model of CRC, were used to evaluate the therapeutic efficacy of VTD-loaded and casein-coated carboxylated mesoporous silica nanoparticles, MSN-COOH/VTD/CAS (VTD, 0.2 mg/kg). Animal experiments revealed that MSN-COOH/VTD/CAS (VTD, 0.2 mg/kg) slows down the progress of tumors. Mass spectrometry (MS) revealed improved pharmacokinetics (PK) profile as MSN-COOH/VTD/CAS had less VTD accumulation in non-cancerous organs compared to pure VTD. We further improved nanoparticle targeting and drug release by shifting to calcium-based particles (CBPs). The engineered CBPs demonstrated higher drug-releasing performance. Without the MMPs trigger, MSNs show slow and continuous “drug leak” over longer period of time whereas CCSMPs stops leakage within an hour. Additionally, CBPs showed higher sensitivity to MMP-7 than MMP-9, enhancing the targetability of CBPs for CRC metastatic tumors with excessive extracellular MMP-7. Conclusions: This study introduces a new platform utilizing nanoparticle-based site-specific delivery of a plant-based anti-metastatic molecule, veratridine, with enhanced safety and therapeutic efficacy for the treatment of metastatic CRC. Full article

Electronic nose (e-nose) systems have emerged as transformative tools for odor and gas analysis, leveraging advances in nanomaterials, sensor arrays, and machine learning (ML) to mimic biological olfaction. This review synthesizes recent developments in e-nose technology, focusing on innovations in sensor design (e.g., graphene-based nanomaterials, MEMS, and optical sensors), drift compensation techniques, and AI-driven data processing. We highlight key applications across healthcare (e.g., non-invasive disease diagnostics via breath analysis), food quality monitoring (e.g., spoilage detection and authenticity verification), and environmental management (e.g., pollution tracking and wastewater treatment). Despite progress, challenges such as sensor selectivity, long-term stability, and standardization persist. The paper underscores the potential of e-noses to replace conventional analytical methods, offering portability, real-time operation, and cost-effectiveness. Future directions include scalable fabrication, robust ML models, and IoT integration to expand their practical adoption. Full article