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Found 6289 publications
Operculate land snails (Gastropoda, Caenogastropoda, Cyclophoroidea) from Padang Bindu Karst, South Sumatra, Indonesia with the description of a new species, Chamalycaeus dayangmerindu
Publication Name: Zookeys
Publication Date: 2026-01-01
Volume: Unknown
Issue: 1272
Page Range: 1-31
Description:
The study on Cyclophoroidea from Padang Bindu Karst, South Sumatra, was conducted to document the species diversity of the superfamily in the area. The samples, including leaf litter and soil samples, were collected in May–June 2021 and followed by the determination and examination on 2023 to 2024 in the Museum Zoologicum Bogoriense. In total 3,780 specimens from the superfamily Cyclophoroidea were examined. Measurements of the shell and operculum were performed using L.A.S V4. 13.0 and IMAGE J. The research revealed 11 species from three families (Cyclophoridae, Diplomatinidae, Pupinidae) and four subfamilies. Plectostoma kitteli is the most abundant species followed by Stomacosmethis cf. jagori (19.84%) and Diplommatina liwaensis (6.67%). A new species, Chamalycaeus dayangmerindu Aulia & Nurinsiyah, sp. nov. is described. The study also discovered four species endemics to Sumatra with one species among them so far only recorded from Padang Bindu karst area. These findings emphasize the region’s unique biodiversity.
Open Access: Yes
Entity-relation enhanced bidirectional information fusion for relational triples extraction
Publication Name: Engineering Applications of Artificial Intelligence
Publication Date: 2026-01-01
Volume: 163
Issue: Unknown
Page Range: Unknown
Description:
Relational triple extraction refers to identifying triples consisting of entities and relations form unstructured texts. The existing studies usually adopt an unidirectional extraction strategy, which fails to fully explore the semantic information related to entities and relations. And they rely heavily on initial extraction results when conducting multi-step extraction. To address this issue, we propose a novel Entity-Relation Enhanced Bidirectional Information Fusion approach (ER-EBIF). Specifically, we adopt a bidirectional extraction strategy of ”entity-to-relation” and ”relation-to-entity” to identify triples. One branch extracts potential relations, then extracts entities associated with those relations. The other branch initially extracts the potential subjects and objects as well as subsequently extracts relations between pairs of entities consisting of subjects and objects. Moreover, the contextual information is enhanced with a self-attention mechanism by integrating the information of potential relations and potential entities to better exploit the semantic information of entities and relations. Extensive experimental results on various datasets show that ER-EBIF exhibits better performance than other baselines and effectiveness in addressing the issue of dependency on initial results in multi-step extraction.
Open Access: Yes
Carbamate insecticide bendiocarb induces complex embryotoxic effects, including morphological, behavioral, transcriptional, and immunological alterations in zebrafish
Julianna Kobolák
Szilárd Póliska
Zsolt Csenki
András Ács
István Szabó
Tamás Müller
Ádám Staszny
Zoltán K. Varga
Gyöngyi Gazsi
Márta Tóth
Márta Reining
Róbert Kovács
Apolka Domokos
Zsófia Varga
Erna Vásárhelyi
Eszter Váradi
Bence Ivánovics
Zoltán Filep
Zsolt Czimmerer
Ferenc Baska
Attila Bácsi
Béla Urbányi
Publication Name: Comparative Biochemistry and Physiology Part C Toxicology and Pharmacology
Publication Date: 2026-01-01
Volume: 299
Issue: Unknown
Page Range: Unknown
Description:
The emergence and spread of vector-borne diseases necessitate the increased use of insecticides, such as carbamates, raising concerns about their potential toxicological risks to non-target organisms, including humans. Bendiocarb, frequently applied in indoor spraying operations and detected in maternal and fetal circulation, warrants particular attention for its developmental toxicity. This study aimed to assess transcriptional and phenotypic effects of sublethal bendiocarb exposure at concentrations of 0.035, 0.2, 0.4, 0.75, and 1.5 mg/L, using zebrafish embryos, a vertebrate model for developmental toxicity testing. Our analyses revealed acetylcholinesterase inhibition-associated morphological and behavioral abnormalities, including reduced locomotor activity in response to both visual and tactile stimuli, as well as impaired non-associative learning. Transcriptomic analysis indicated activation of muscle, immune, and metabolic pathways, while neurodevelopmental, phototransduction, and cell proliferation processes were suppressed. Consistent with these molecular findings, structural damage was observed in the retina, skeletal muscle, and notochord. Furthermore, bendiocarb exposure disrupted neutrophil granulocyte distribution and impaired inflammatory responses. Altogether, our results provide new insights into the embryotoxic effects of bendiocarb, highlighting its potential to disrupt early vertebrate development. These findings provide mechanistic insight that may support more informed evaluations of potential public health risks associated with developmental exposure to carbamates.
Open Access: Yes
An AI-Driven Framework for Network Intrusion Detection Using ANOVA-Based Feature Selection
Publication Name: International Journal of Advanced Computer Science and Applications
Publication Date: 2025-12-31
Volume: 16
Issue: 12
Page Range: 853-861
Description:
In the last few years, cyberattacks have become more complex, and it is becoming increasingly necessary to establish secure networks. This study examines enhancements to intrusion detection systems (IDSs) with the implementation of machine learning for the categorization of network traffic attacks. For the current study, we utilize four publicly available datasets: CICIDS2017, CIC-DoS2017, CSE-CIC-IDS2018, and CIC-DDoS2019. We examined three machine learning techniques: LightGBM, Random Forest, and XGBoost. Experimental results showed that RandomForest and XGBoost achieved the highest accuracy of 0.99 in both binary and multi-class intrusion detection tasks, maintaining balanced performance with macro F1-scores around 0.86. LightGBM exhibited slightly lower overall performance, but benefited from ANOVA-based feature selection, which improved its recall and model stability. Feature selection also enhanced computational efficiency by reducing feature redundancy while preserving accuracy across models. These results highlight how AI tools could help network security deal with emerging threats and improve the performance of IDS. The study underscores the critical role of feature selection in enhancing model efficiency, hence promoting advancements in automated network security systems that can adapt to evolving cyber threats.
Open Access: Yes
Nano-fertilizer and growth regulator technological applications on improving productivity, and quality of spring wheat (Triticum aestivum l.)
Publication Name: Basrah Journal of Agricultural Sciences
Publication Date: 2025-12-31
Volume: 38
Issue: 2
Page Range: 205-218
Description:
A field experiment was conducted at the Agroploligon Research Institute, Baribino, during 2023–2024 to evaluate the effects of foliar nano-fertilizer Terrasay and growth regulator Centrino on wheat performance. The study followed a split-plot randomized complete block design with three replications. Growth regulator levels were 0, 1.0, 1.25, and 1.5 L ha⁻¹, while Terrasay rates were 0, 0.5, 1.0, and 2.0 L ha⁻¹. Significant interactions (p ≤ 0.05) between treatments were observed for phenology, yield, and quality traits. Higher regulator rates accelerated flowering and increased fertile tillers, while combined applications enhanced spike characteristics, thousand-grain weight (TGW), and yield components. The combinations F2 × GR2 and F3 × GR3 produced superior spike length, spikelet number, and TGW. Maximum grain yield in 2024 was achieved with F2 × GR2 (4457.4 kg ha⁻¹), significantly exceeding the control. Biological yield also increased markedly under higher fertilizer and regulator combinations. Wet gluten content reached 28.25% with F3 × GR2 compared with much lower values in untreated plots. Overall, foliar application of nano-fertilizer and growth regulator improved growth, productivity, and grain quality of wheat. The results highlight the potential of precision application of Terrasay (1.0–2.0 L ha⁻¹) and Centrino (1.25–1.5 L ha⁻¹) as an effective strategy for sustainable wheat intensification.
Open Access: Yes
Geometrically nonlinear topology optimization of steel I-beams using BESO: a comparative study under multiple loading conditions
Publication Name: Engineering Research Express
Publication Date: 2025-12-31
Volume: 7
Issue: 4
Page Range: Unknown
Description:
A geometrically nonlinear topology optimization method is presented in this paper for steel I-section beams, incorporating large displacement analysis to capture realistic structural behavior under flexural loads. The developed framework aims to enhance structural performance and material efficiency by optimizing the web region while preserving critical load paths. The optimization process is driven by enhancing the Bi-directional Evolutionary Structural Optimization (BESO) algorithm implemented in MATLAB and coupled with ABAQUS. Three beam configurations are analyzed under identical boundary and loading conditions to compare the performance of the optimized layout against traditional designs. To further assess the robustness of the proposed algorithm, two additional load scenarios, including a four-point bending test and a uniformly distributed load, are investigated. The results demonstrate that the optimized beam configurations reduce web material by 60% (volume fraction = 0.40) under 45 kN mid-span load while sustaining 55% higher load than the circular-opening beam (45 kN vs. 29 kN) with mean stress of 203.1 MPa, achieving 20% less web material than the conventional design and 18% higher complementary work (1.89 × 105 N mm) than the plain-web beam. The findings underline the value of incorporating geometric nonlinearity into topology optimization for producing high-performance, lightweight steel structures suitable for real-world engineering applications.
Open Access: Yes
Description of an arboreal oribatid mite species of the genus Ovobates (Acari, Oribatida, Oribatulidae), based on adult and nymphs from Vietnam
Publication Name: Zootaxa
Publication Date: 2025-12-31
Volume: 5740
Issue: 1
Page Range: 112-124
Description:
The genus Ovobates (oribatida, oribatulidae) comprises two species distributed in the oriental region. A new species—Ovobates ochrocarpicus sp. nov.—is described, based on adult and nymphal instars, collected from branches of the ochrocarp tree in southern Vietnam. the adult of the new species is characterized by the presence of the five pairs of notogastral porose areas and the epimeral formula 3-1-3-3. the nymphs of the new species are characterized by presence of clavate bothridial seta; setiform interlamellar seta; short, setiform, thin gastronotic setae c1 , c2 , da, la; medium-sized to long, setiform, gastronotic setae dm c3 , lm, p2 , and p3 ; medium-sized, bacilliform gastronotic setae dp, h1 , and h3 ; long, subflagellate, gastronotic setae lp, h2 , and p1 ; epimeral formula 3-1-2-2 in tritonymph; and seven setae on the leg tarsus IV in protonymph. the generic diagnosis and a morphological comparison of adults and juvenile instars of the known species of Ovobates are presented.
Open Access: Yes
Greenwashing in the context of responsible consumption and production (SDG 12): A cross-sectoral analysis of sustainability
Publication Name: Equilibrium Quarterly Journal of Economics and Economic Policy
Publication Date: 2025-12-30
Volume: 20
Issue: 4
Page Range: 1387-1423
Description:
Research background:Responsible consumption and production, articulated in Sustainable Development Goal 12 (SDG 12), has heightened global expectations for credible sustainability disclosure. Despite this, firms across sectors continue to use selective, vague, or unverifiable environmental claims that contribute to greenwashing. Although research on greenwashing has expanded, consolidated knowledge on how misrepresentation patterns vary across industries and how these practices undermine SDG 12 objectives remains limited. A clearer understanding of sector-specific disclosure behaviors is essential for strengthening accountability and supporting responsible production–consumption transitions. Purpose of the article: This study aims to provide a cross-sectoral synthesis of greenwashing mechanisms and sustainability misrepresentation, examining how disclosure tactics differ across the manufacturing, energy, fast-moving consumer goods (FMCG), automotive, tech-nology, and service sectors. The objective is to map these practices against SDG 12 expectations and highlight how they hinder progress toward responsible production and consump-tion. Methods: Using a PRISMA-based systematic review of Scopus-indexed studies, the analysis applies thematic coding and comparative sectoral assessment to identify patterns of misrepre-sentation. The review integrates evidence across multiple industries to highlight differences in performance-based, claim-based, symbolic, and impression-management tactics. Findings & value added: The results show that manufacturing and energy firms predomi-nantly engage in performance-related sustainability misrepresentation, whereas FMCG and service firms more frequently employ claim-based, symbolic, and impression-management approaches. Across all sectors, recurring practices include overstated certifications, selective reporting, and ambiguous SDG commitments, which collectively impede transparency and weaken the achievement of SDG 12. By offering one of the first comprehensive cross-industry evaluations of greenwashing within an SDG framework, the study advances the theoretical understanding of sustainability misrepresentation and identifies sector-specific risks relevant for regulators and policymakers. It also provides actionable insights into enhancing reporting integrity and accountability aligned with SDG 12.
Open Access: Yes
DOI: 10.24136/eq.3691
Rethinking sustainable tourism through innovation and knowledge: A conceptual framework for policy and practice
Publication Name: Equilibrium Quarterly Journal of Economics and Economic Policy
Publication Date: 2025-12-30
Volume: 20
Issue: 4
Page Range: 1459-1491
Description:
Research background: Tourism plays a central role in global economic development and cross-cultural exchange. In the wake of the COVID-19 pandemic, there has been a growing focus on integrating sustainability, innovation, and equity into tourism practices. Traditional models have often overlooked the complex interplay of social, environmental, and economic challenges faced by destinations. This has spurred a rethinking of tourism development, driven by community empowerment, climate concerns, and technological advances. Purpose of the article: The study aims to explore how a transformative approach to tourism can be achieved by centering community participation, embracing sustainability, and incorporating innovative social practices. It focuses on the intersections of social innovation, ruralluxury travel, heritage preservation, and inclusive governance. The authors seek to construct a conceptual framework that captures emerging themes and sub-themes within sustainable tourism, offering practical insights for policymakers and industry stakeholders. Methods: An integrative review approach was applied, guided by PRISMA methodology. Following keyword extraction, topic modeling was conducted using Latent Dirichlet Allocation (LDA), a widely used technique for discovering hidden topics in text data. Over 12,000 academic sources from the Scopus database were synthesized. A conceptual model was developed through inductive analysis to identify interrelationships between tourism-related themes. Findings & value added: The key findings highlight the transformative potential of strategies that align tourism practices with environmental stewardship, local empowerment, and innovative management approaches. The study underscores actionable implications such as the establishment of innovation hubs, and cross-sector partnerships, offering pathways to foster a tourism sector that not only supports global sustainable development goals, but also ensures long-term community resilience and equitable development.
Open Access: Yes
DOI: 10.24136/eq.4010
