The study investigated the presence of potyviruses, carlaviruses, and allexiviruses in garlic samples, highlighting the impact of these viruses on garlic cultivation. No virus-free garlic was identified, with infections from at least one virus species observed in all samples. Notably, LYSV was detected in one sample, emphasizing the critical need for certified propagating material. Our study revealed the predominance of allexiviruses, particularly GarVD. Interestingly, no mixed carlavirus infections were detected. The results underline the risk of virus complexes, particularly when potyvirus infections occur alongside carla- or allexiviruses, exacerbating yield losses. The new primers we designed were successfully used, the usability of certain primers from earlier research has been confirmed, and new potential applications have been identified for some primers. In our study we have molecularly identified LYSV, GCLV, SLV, GarVB, GarVC and GarVD infected samples from Hungary, the presence of LYSV was confirmed with ELISA as well.

The western corn rootworm (WCR) (Diabrotica virgifera virgifera LeConte; Chrysomelidae) is one of the most significant maize pests in Europe, with farmers spending a substantial amount (approximately 140 EUR) on its control. In the context of climate change, WCRs could pose an even greater threat to EU maize production, particularly as the European Union continues to withdraw an increasing number of effective yet environmentally harmful active agents. Biological control methods have now emerged to the forefront in creating sustainable agriculture. In this review, we carried out an extensive literature analysis on methods for forecasting WCRs and evaluated the practical applicability of the latest non-chemical control methods targeting its larvae. Effective forecasting is essential for successful pest management, enabling informed planning and the selection of the most suitable control methods. Several traditional predicting techniques remain in use today, but recent advancements have introduced modern electronic forecasting units combined with sensor-equipped pheromone and colour traps, as well as thermal sum calculations. Research has demonstrated that crop rotation is one of the most effective methods for controlling WCR larvae. Biological agents, such as entomopathogenic fungi (Beauveria bossiana and Mettarrhyzum anasoplia), entomopathogenic nematodes (Heterorhabditis bacteriophora), and botanical insecticides such as azadirachtin can significantly reduce larval populations and root damage, thereby maintaining infestation levels below the economic threshold. Genetically modified maize plants that produce specific toxins, along with conventional breeding efforts to increase root system regeneration, are also promising tools for the sustainable management of this pest. This review summarizes the solutions for prediction of western corn rootworm infestations and non-chemical control of its larvae. Accurate forecasting methods provide a clear picture of infestation levels in a given area, enabling precisely targeted control measures. In all cases, the control should be directed primarily against the larvae, thereby reducing root damage and reducing the size of the emerging imago population. This review demonstrates that biological control methods targeting larvae can be as effective as pesticides, supporting sustainable pest management.

This study investigates the shear bond strength between four widely used façade stones—travertine, granite, marble, and crystalline marble—and concrete substrates, with a particular focus on the role of polypropylene fibers in adhesive mortars. The research evaluates the effects of curing duration, fiber dosage, and mechanical anchorage on bond strength. Results demonstrate that Z-type anchorage provided the highest bond strength, followed by butterfly-type and wire tie systems. Extended curing had a significant impact on bond strength for specimens without anchorage, particularly for travertine. The incorporation of polypropylene fibers at 0.2% volume in adhesive mortar yielded the strongest bond, although lower and higher dosages also positively impacted the bonding. Furthermore, the study introduces a novel fuzzy logic model using the Dombi family of t-norms, which outperformed linear regression in predicting bond strength, achieving an R² of up to 0.9584. This research emphasizes the importance of optimizing fiber dosage in adhesive mortars. It proposes an advanced predictive model that could enhance the design and safety of stone-clad façades, offering valuable insights for future applications in construction materials.

Background: Phonological difficulties are prevalent in children with speech and/or language disorders and may hamper their later language outcomes and academic achievements. These children often form a significant proportion of speech and language therapists’ caseloads. There is a shortage of information on evidence-based interventions for improving phonological skills in children and adolescents with speech and language disorder. Aims: The aim of this systematic literature review and meta-analysis was to systematically examine the effects of different intervention approaches on speech production accuracy and phonological representation skills in children with speech and language disorders. Methods: A preregistered systematic review (International Prospective Register of Systematic Reviews ID: CRD42017076075) adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was completed. Seven electronic databases (PubMed, Web of Science, ERIC, PsychINFO, Cochrane Library, SCOPUS and Linguistics & Language Behavior Abstracts) were searched for studies related to oral language interventions with children with developmental speech and/or language disorder (mean age ranging from 3–18 years) published between January 2006 and August 2022. The included articles reported intervention studies with a group design in which speech production accuracy was the outcome measure. Studies were appraised using the Cochrane risk of bias tool, and individual effect sizes were calculated using standardised means differences when enough data was available. A meta-analysis was conducted obtaining the average standardised mean difference d. Heterogeneity, influence of possible moderator variables and publication bias were explored. Results: The 23 studies that met the inclusion criteria presented low-medium risk of bias. Nine effect sizes were obtained from seven of these studies that presented a pre-post-test with a control group design. Medium-high average effect sizes were found in phonological accuracy. Heterogeneity was found between individual effect sizes. Significant moderator variables and publication bias were not detected. Conclusions: The results of this meta-analysis indicate positive effects on speech production accuracy. Based on this review, further improvements in the quality of reporting for intervention research are required in developing the evidence base for practice. What this paper adds: What is already known on the subject An increasing number of interventions is available for children and adolescents with developmental speech and/or language disorders. Previous reviews suggest relatively low levels of evidence of interventions having phonology as an outcome measure. What this paper adds to the existing knowledge This review and meta-analysis summarise the intervention evidence from a substantial body of group design studies, indicating positive results from a range of interventions with phonological outcomes. It highlights the need to systematically implement and replicate different intervention procedures to understand factors that will maximise positive outcomes and to grow the evidence base for best practice. What are the potential or actual clinical implications of this study? Tentative evidence is emerging for the effectiveness of various approaches in enhancing speech production accuracy skills of children and adolescents with developmental speech and/or language disorder.

This study overviews the keywords overspending, family, and sustainable budget from different perspectives in the existing literature. Its goal is to identify the gap through keyword analysis and formulate a methodological direction for the future, using an overview of the methodologies used for researching individual keywords. This publication is based on a systematic literature review, including articles from the Web of Science, Science Direct, and Scopus databases. The resulting publications are analyzed from several angles, such as the number of publications per keyword per year, which methodologies were applied, and at which level (micro, meso, macro) the topic was previously researched. As an output of the partial analyses, both the lack of research on the sustainable spending habits of Hungarian households and the need for a methodology that can be applied for this purpose emerges. The results enable the development of a combined method, with which current research can be carried out on a micro level regarding sustainable spending habits in Hungary.

In this paper, we study the initial value problem for the fractional differential equation with multiple deviating arguments. By using Krasnoselskii’s fixed point theorem, the conditions of solvability of the problem are obtained. Furthermore, we establish Ulam–Hyers and generalized Ulam–Hyers stability of the fractional functional differential problem. Finally, two examples are presented to illustrate our results, one is with a pantograph-type equation and the other is numerical.

Since the beginning of the structural optimization field, the optimal design was characterized by the least-weight configuration. In this sense, all the researchers agreed on adopting the minimum-weight optimization statement as the most promising approach to achieve an optimized employment of material. However, especially for steel structures, this approach completely fails the primary goal of encouraging standardization of pieces during the production phase. Except for rare cases, increasing diversity among structural elements leads to a dramatic increase in the financial cost as well as the environmental impact of the structure because of the material waste generated during the cutting procedure. In this paper, a real-coded Genetic Algorithm has been adopted and the well-known one-dimensional Bin Packing Problem has been implemented within the structural optimization process. The Objective Function formulation lies in a marked change of the paradigm in which the target function is represented by the amount of steel required by the factory instead of the structural cost (e.g. weight). The proposed approach is tested on different steel structures moving from 2D truss beams to 3D domes. Addressing the optimal stock of existing elements leads to a significant waste reduction of 40% in almost all the investigated case studies.

The sustainable development of the mining industry is essential for economic growth. However, this practice necessitates environmental protection and social sustainability. This study uses the super-efficient epsilon-based measure (EBM) model to measure mining energy efficiency (MEE) based on panel data for 30 provinces from 2007 to 2021 in China. We empirically examined the effects of technological innovation (TEC) on MEE and the mediating and threshold effects of industrial structure upgrading (IS) between the two through the fixed, mediating, and threshold effects models. The study findings show that TEC is conducive to enhancing MEE and that this role is relatively robust regarding the mechanism of action. TEC enhances the MEE industry through the IS. We observed the impact of TEC on MEE in the threshold effect of IS—as the level of IS rises, the role of TEC on MEE shows an increasing marginal effect. Therefore, the government should encourage the construction and innovation of technology to optimise the industrial structure and layout and improve energy efficiency in the regional mining industry. This study is a useful supplement to the study of MEE and provides new perspectives and methods for understanding and improving MEE. Meanwhile, the study results provide an important reference for the government to formulate long-term planning and policies for mining development, which is of great significance for optimising the structure of mining resources and improving MEE in the region.

The current research focus in the field of digital rural development revolves around achieving high-quality digital rural construction and addressing the digital divide in different regions. This is particularly significant in China, where the issue has grown increasingly prominent. To delineate the pathway for rural digitalization and bridge the digital divide, we have constructed a Technology-Organization-Environment (TOE) framework, drawing upon configuration theory. Utilizing data from China's Top 100 Digital Rural Counties and applying the methods of Necessary Condition Analysis (NCA) and Qualitative Comparative Analysis (QCA), we identified the configurational paths necessary to achieve high-quality digital rural construction and discerned the nature of the digital divide across various regions. The findings show that: 1) none of the single antecedent conditions is a necessary condition for achieving a high level of digital rural construction. 2) There are four configurational paths for high-quality digital rural construction: technology-organization combination, technology-organization optimization, technology-organization symbiosis, and environmental integration. 3) Further analyses show that the configurational path for high-quality rural digitalization in the southeast coastal areas is organization-led, multi-coordinated, and technology-environment driven. In contrast, for inland provinces, it is technology-led, technology-innovation, and technology-external pressure. Moreover, a comparative analysis of regional differences shows that the high-quality digital rural construction in the southeast coastal provinces presents a well-rounded development type, whereas for the inland provinces it demonstrates a development mode of technology-driven under government leadership. The findings provide valuable insights for rural digitalization research and shed light on bridging the digital divide.