Integration Patterns Research Articles

Transformation of Education: Pattern of Integration of Science in Learning at UIN Antasari Banjarmasin

This research aims to analyze the pattern of integrating knowledge in learning at UIN Antasari Banjarmasin. It has become a core issue at State Islamic Religious Higher Education Institutions (PTKIN), especially after the status change of several Islamic higher education institutions from STAIN or IAIN to UIN. This status change has had significant consequences on the shift in the fields of study at UIN, which were originally focused solely on Islamic sciences and have been expanded to include general sciences, both social and natural sciences. Many issues remain unresolved regarding the implementation of knowledge integration in the faculties at UIN Antasari, ranging from policies on knowledge integration in learning, the patterns of knowledge integration practiced by lecturers, and the extent to which lecturers respond to research on knowledge integration. The patterns of knowledge integration employed by some lecturers in the learning process include relating or presenting Quranic verses and Hadiths in the teaching of general subjects, and relating or presenting general knowledge in the teaching of Islamic studies. The integration models include informative and complementary approaches. The method used in this research is qualitative descriptive, which involves capturing the state of institutions, communities, and other entities based on the facts found. The research findings indicate that the pattern of knowledge integration involves lecturers relating Quranic verses and Hadiths in the teaching of general subjects, and integrating general knowledge in the teaching of Islamic studies, as well as using informative and complementary models.

Enhanced functional brain network integration in mild cognitive impairment during cognitive task performance: A compensatory mechanism or a result of neural disinhibition?

Although previous studies have observed increased global network integration during tasks in persons with mild cognitive impairment (MCI), the association between this integration and actual task performance has remained unexplored. Understanding this link is crucial for uncovering the underlying mechanism behind these changes in network integration and their potential role in MCI. Here, to find such a link, we investigated brain network integration derived from electroencephalography recordings during a visual motion discrimination task in older adults with MCI and those with normal cognition. We focused on a critical period just before stimulus presentation, which is known to be important for task performance. Our results revealed that during this period, MCI patients exhibited increased network integration compared to controls. Interestingly, increased integration was associated with worse task performance in the MCI group, suggesting it was not beneficial. No such association was found in the control group. Notably, this difference existed despite similar overall task performance between the groups. This suboptimal integration pattern during the cognitive task might reflect network de-differentiation due to disinhibition in MCI patients. Collectively, our study highlights the potential of analysing network integration during tasks to identify cognitive impairment and suggest a distinct role for network integration in MCI patients compared with healthy controls.

Pharmacological and pre-clinical safety profile of rSIV.F/HN, a hybrid lentiviral vector for cystic fibrosis gene therapy.

Cystic fibrosis (CF) is caused by mutations in the CF Transmembrane Conductance Regulator (CFTR) gene. CFTR modulators offer significant improvements, but approximately 10% of patients remain nonresponsive or are intolerant. This study provides an analysis of rSIV.F/HN, a lentiviral vector optimized for lung delivery, including CFTR protein expression, functional correction of CFTR defects and genomic integration site analysis in preparation for a first-in-human clinical trial. Air-liquid interface cultures of primary human bronchial epithelial cells (HBEC) from CF patients (F508del/F508del), as well as a CFTR-deficient immortalized human lung epithelial cell line mimicking Class I (CFTR-null) homozygous mutations, were used to assess transduction efficiency. Quantification methods included a novel proximity ligation assay (PLA) for CFTR protein expression. For assessment of CFTR channel activity, Ussing chamber studies were conducted. The safety profile was assessed using integration site analysis and in vitro insertional mutagenesis studies. rSIV.F/HN expressed CFTR and restored CFTR-mediated chloride currents to physiological levels in primary F508del/F508del HBECs as well as in a Class I cells. In contrast, the latter could not be achieved by small-molecule CFTR modulators, underscoring the potential of gene therapy for this mutation class. Combination of rSIV.F/HN-CFTR with the potentiator ivacaftor showed a greater than additive effect. The genomic integration pattern showed no site predominance (frequency of occurrence ≤10%), and a low risk of insertional mutagenesis was observed in an in vitro immortalization assay. The results underscore rSIV.F/HN as a promising gene therapy vector for CF, providing a mutation-agnostic treatment option.

A numerical analysis of the variation and correlation of crown elements in the upper cheek teeth of the european beaver, <i>castor fiber</i> (rodentia, castoridae), based on geometric morphometrics

Individual and age variations and correlation of the upper cheek teeth were studied in the European beaver, Castor fiber, based on an “elementaristic” description of dental crown elements by means of geometric morphometrics and applying correlation, cluster, and dispersion analyses. The basic algorithm for both within- and between-teeth comparisons was described. The least individual variability is characteristic of the teeth taking middle positions in the cheek tooth row. No clear-cut relation of the levels of individual variation of crown elements is revealed with respect to either their position in the tooth crown or their complexity. The age differences in the shape of crown elements may occasionally be very significant, with the juveniles being the most specific in this respect. The least individually variable dental units (either total teeth or particular elements) appear to generally be the most variable with age, although this result may be purely “statistical” in nature. The correlation between dental crown elements is generally not very high, with within-teeth correlations being slightly stronger than between-teeth ones. The correlations are generally stronger in the adults than in the other age groups. The dental correlations vary with age, with general trends of age differences in correlations being the opposite for within- and between-teeth comparisons. The general levels of correlations and the magnitudes of their age differences are inversely related in the case of between-teeth comparisons. The overall correlation pattern of dental crown elements is more evident in the combined age group of subadults + adults. Further explorations of both the variation and integration patterns of mammalian dentition should be based on an “elementaristic” description of the dental crown.

The Beginning of Divergence in Morphological Integration and Modularity Patterns is Exemplified by the Odontometric Characters of Two Closely Related Bat species, Myotis blythii and Myotis myotis (Chiroptera, Vespertilionidae)

The Beginning of Divergence in Morphological Integration and Modularity Patterns is Exemplified by the Odontometric Characters of Two Closely Related Bat species, Myotis blythii and Myotis myotis (Chiroptera, Vespertilionidae)

Wrinkled metal-organic framework thin films with tunable Turing patterns for pliable integration.

Flexible integration spurs diverse applications in metal-organic frameworks (MOFs). However, current configurations suffer from the trade-off between MOF loadings and mechanical compliance. We report a wrinkled configuration of MOF thin films. We established an interfacial synthesis confined and controlled by a polymer topcoat and achieved multiple Turing motifs in the wrinkled thin films. These films have complete MOF surface coverage and exhibit strain tolerance up to 53.2%. The enhanced mechanical properties allow film transfer onto various substrates. We obtained membranes with large H2/CO2 selectivity (41.2) and high H2 permeance (8.46 × 103 gas permeation units), showcasing negligible defects after transfer. We also achieved soft humidity sensors on delicate electrodes by avoiding exposure to harsh MOF synthesis conditions. These results highlight the potential of wrinkled MOF thin films for plug-and-play integration.

Comprehensive blueprint of Salmonella genomic plasticity identifies hotspots for pathogenicity genes.

Understanding the dynamic evolution of Salmonella is vital for effective bacterial infection management. This study explores the role of the flexible genome, organised in regions of genomic plasticity (RGP), in shaping the pathogenicity of Salmonella lineages. Through comprehensive genomic analysis of 12,244 Salmonella spp. genomes covering 2 species, 6 subspecies, and 46 serovars, we uncover distinct integration patterns of pathogenicity-related gene clusters into RGP, challenging traditional views of gene distribution. These RGP exhibit distinct preferences for specific genomic spots, and the presence or absence of such spots across Salmonella lineages profoundly shapes strain pathogenicity. RGP preferences are guided by conserved flanking genes surrounding integration spots, implicating their involvement in regulatory networks and functional synergies with integrated gene clusters. Additionally, we emphasise the multifaceted contributions of plasmids and prophages to the pathogenicity of diverse Salmonella lineages. Overall, this study provides a comprehensive blueprint of the pathogenicity potential of Salmonella. This unique insight identifies genomic spots in nonpathogenic lineages that hold the potential for harbouring pathogenicity genes, providing a foundation for predicting future adaptations and developing targeted strategies against emerging human pathogenic strains.

Effectiveness of Kathmandu University School of Medical Sciences Medical Evaluation Scheme

Background: Evaluation analysis the learning capabilities and check the knowledge with skills that students have gained during study period. Good evaluation scheme is a key issue in medical education. Evaluation scheme currently in use are reviewed with attention to their strength and weaknesses. The purpose of the present study was to determine perception of medical students regarding effectiveness of Kathmandu University School of Medical Sciences (KUSMS) medical evaluation scheme which may enhance the competency of the medical students as well as quality of medical education. Materials and Methods: This study was cross sectional questionnaire based study which consisted of 250 (165 male and 85 female) medical students who have already appeared in university examination. A Google Form Questionnaire was generated and shared to the student in order to acquire their perception regarding KUSMS medical evaluation scheme. Data was collected and statistical analysis was done. Results: Majority of the participants had shown their strongly agreement that KUSMS medical evaluation scheme is one of the best tool which help them to support in improving their learning skills and in obtaining good mark in their examination. Most of them also agreed that formative assessments give them the best opportunity to improve the weakness in their studies. Similarly, they preferred more integrated pattern of examination (current) rather than discipline based (subject wise) examination. Conclusion: The assessment methods should match the competencies being learnt and the teaching methods being used. Several assessment methods are used longitudinally to assess the student’s learning needs and to identify optimal performance by the faculties.

Quadrature Based Neural Network Learning of Stochastic Hamiltonian Systems

Hamiltonian Neural Networks (HNNs) provide structure-preserving learning of Hamiltonian systems. In this paper, we extend HNNs to structure-preserving inversion of stochastic Hamiltonian systems (SHSs) from observational data. We propose the quadrature-based models according to the integral form of the SHSs’ solutions, where we denoise the loss-by-moment calculations of the solutions. The integral pattern of the models transforms the source of the essential learning error from the discrepancy between the modified Hamiltonian and the true Hamiltonian in the classical HNN models into that between the integrals and their quadrature approximations. This transforms the challenging task of deriving the relation between the modified and the true Hamiltonians from the (stochastic) Hamilton–Jacobi PDEs, into the one that only requires invoking results from the numerical quadrature theory. Meanwhile, denoising via moments calculations gives a simpler data fitting method than, e.g., via probability density fitting, which may imply better generalization ability in certain circumstances. Numerical experiments validate the proposed learning strategy on several concrete Hamiltonian systems. The experimental results show that both the learned Hamiltonian function and the predicted solution of our quadrature-based model are more accurate than that of the corrected symplectic HNN method on a harmonic oscillator, and the three-point Gaussian quadrature-based model produces higher accuracy in long-time prediction than the Kramers–Moyal method and the numerics-informed likelihood method on the stochastic Kubo oscillator as well as other two stochastic systems with non-polynomial Hamiltonian functions. Moreover, the Hamiltonian learning error εH arising from the Gaussian quadrature-based model is lower than that from Simpson’s quadrature-based model. These demonstrate the superiority of our approach in learning accuracy and long-time prediction ability compared to certain existing methods and exhibit its potential to improve learning accuracy via applying precise quadrature formulae.

Proximity ligation-based sequencing for the identification of human papillomavirus genomic integration sites in formalin-fixed paraffin embedded oropharyngeal squamous cell carcinomas.

Human papillomavirus (HPV) infections are an increasing cause of oropharyngeal squamous cell carcinomas (OPSCC). Integration of the viral genome into the host genome is suggested to affect carcinogenesis, however, the correlation with OPSCC patient prognosis is still unclear. Research on HPV integration is hampered by current integration detection technologies and their unsuitability for formalin-fixed paraffin-embedded (FFPE) tissues. This study aims to develop and validate a novel targeted proximity-ligation based sequencing method (targeted locus amplification/capture [TLA/TLC]) for HPV integration detection in cell lines and FFPE OPSCCs. For the identification of HPV integrations, TLA/TLC was applied to 7 cell lines and 27 FFPE OPSCCs. Following preprocessing steps, a polymerase chain reaction (PCR)-based HPV enrichment was performed on the cell lines and a capture-based HPV enrichment was performed on the FFPE tissues before paired-end sequencing. TLA was able to sequence up to hundreds of kb around the target, detecting exact HPV integration loci, structural variants, and chromosomal rearrangements. In all cell lines, one or more integration sites were identified, in accordance with detection of integrated papillomavirus sequences PCR data and the literature. TLC detected integrated HPV in 15/27 FFPE OPSCCs and identified simple and complex integration patterns. In general, TLA/TLC confirmed PCR data and detected additional integration sites. In conclusion TLA/TLC reliably and robustly detects HPV integration in cell lines and FFPE OPSCCs, enabling large, population-based studies on the clinical relevance of HPV integration. Furthermore, this approach might be valuable for clonality assessment of HPV-related tumors in clinical diagnostics.

FEATURES OF ADAPTATION OF CITIZENS OF UKRAINE TO EU COUNTRIES: EMIGRATION CONTEXT

The article examines the essence of the ongoing integration process of Ukrainians into the society of European countries, the peculiarities of the social and personal adaptation of Ukrainian citizens to the EU against the background of forced emigration due to the military conflict in terms of the provisions of Pierre Bourdieu’s theory of the social field. The main qualities of the social field are considered, such as the autonomy of the field, the mutual influence of agents on each other, the influence and types of capital, in particular economic, cultural, social and symbolic capital, as the basis of inequality and struggle within the field. An analysis of the development of relations between the integration of Ukrainians and European society is carried out, taking into account the main indicators of the capital possessed by both parties.The purpose of the article is to study the integration process of Ukraine in the EU in the context of the development of the leading provisions of P. Bourdieu’s theory of the social field.The relevance of the article is due to the fact that the integrative process of society is an extremely complex multi-level procedure, which affects both numerous social relations, separate relations between a person and the State, the relations of various social formations with each other, as well as internal aspects of the individual, forms a new worldview, initiates a different cultural and psychological composition. The integration of Ukrainians is taking place against the background of complex political, military and psychological events. In general, full-fledged integration requires time and constant efforts, changes in the socio-cultural way of life require new adaptation mechanisms and the necessary qualities for successful assimilation of a new way of life and awareness of oneself as a part of another cultural and social stratum. Absolutely all spheres of human life are subject to change, so it is possible to talk about the formation of a new personality, one that did not exist before.It is clear that all these points are gaining research relevance both at the theoretical level and at the level of socio-political practices and the development of an effective international social policy. The result of the article is a complete structural analysis of the social field, which is formed as a result of the integration process between the citizens of Ukraine and the citizens of the European Union states, the concept of signs of the autonomy of the field, mutual influence and mutual dependence of agents, characteristic of the social field according to the theory of Pierre Bourdieu, is developed, data are given to confirm of these features, as well as a study of the types of capital belonging to Ukrainians and citizens of European society, which determine the interaction of both communities, act as means of struggle for power and position in the society that is being formed. In the article, we come to the conclusion that the field that is created has the characteristics of a social field, since all the characteristics of a social field according to P. Bourdieu are present. It is proposed to conduct further research into the patterns of integration of Ukrainians into the EU taking into account this conceptual framework.

Revealing multi-scale spatial synergy of mega-city region from a human mobility perspective

ABSTRACT Spatial synergy is strengthened integration and connection between cities in a mega-city region, transcending administrative boundaries. The central flow theory suggests that the mega-city regions are formed by the interconnected flows of people across cities, making the spatial synergy can be measured by assessing the aggregation and intensity of flows and interactions between cities and regions. Human mobility data, such as mobile phone data and social media check-ins, enable the tracking of human movements, thus facilitating the transition of central flow theory from theoretical constructs to empirical research. To this end, this study presents an alternative data-driven framework to reveal the multi-scale spatial synergy of mega-city regions from a human mobility perspective. It uncovers homogeneously spatial communities with high inter-city integration using community detection. Strong internal spatial connections of 2.13 billion mobility are filtered using network backbone extraction. An experiment in the Pearl River Delta (PRD), China, demonstrates a multi-scale and multi-core hierarchical spatial synergy in the PRD region. The detailed findings are as follows: (1) Three cities attract the majority of human mobility. Mobility distance is short in urban centers and long in suburban areas. (2) The spatial integration pattern shows the detected communities reveal the hierarchical integration pattern with three main integrated regions: Guangzhou-Foshan-Zhaoqing, Shenzhen-Dongguan-Huizhou, and Zhuhai-Zhongshan-Jiangmen. (3) The spatial connection pattern illustrates the close ties of 9 cities and three core cities, including Guangzhou, Shenzhen, and Foshan. These results provide a human-centric understanding of urban synergy and deeper insights into central flow theory, which supports cooperative development in mega-city regions.

Employment outcomes of refugee women and men: multiple gender gaps and the importance of high-skill jobs

ABSTRACT Refugee women face significant challenges when seeking employment in Western host countries. To advance gender-sensitive perspectives within migration and refugee research, this study examines differences in employment outcomes between refugee women and men. Specifically, this study provides a nuanced picture of six indicators of employment outcomes, including pay, fixed-term versus permanent employment contract, overqualification, career prospects, an at-home feeling in the workplace and the ability to talk to colleagues about personal problems. The study also shows that individuals’ occupational status plays a role in gender disparities. Our findings, based on a recent survey of refugees working in Austria, reveal several gender gaps, with an especially significant gap regarding fixed-term employment contracts. Refugee women, who are more likely to be disadvantaged in employment outcomes, benefit disproportionately from working in high-skill jobs. The findings underscore the complex nature of gendered patterns in labour market integration of refugees and imply specific policies addressing gender inequality in this setting.

Integration Experiences of International Students: A Case Study of Sub-Saharan Students in a Moroccan School of Design and Engineering

An increasing number of international Students opt for studying at a university in a foreign country. It is believed that this mobility makes these students face academic and social integrating challenges in their new learning environment. In Morocco, thousands of students, who are scholarship-granted by the Moroccan government, coming from different countries, chiefly from Sub-Saharan Africa seek education in different universities of the kingdom. The main aim of this study extends its focus to explore two outcomes. Particularly, it investigates the social and academic integration experiences of a case study of international students undertaking an undergraduate programme at a Moroccan school of design and engineering along with the challenges these students encounter. Moreover, the study situates these experiences within the institutional conscious efforts that are implemented to achieve an integrational goal. Data were collected from a case study in spring 2019 by interviewing 20 Sub-Saharan students studying at the Moroccan Design and Technology engineering school in Meknes (ENSAM: Ecole Nationale Supérieure des Arts et Métiers) and 3 of the school staff members. Using thematic analysis and then interpretative phenomenology as a guiding framework to analyse and present the data, the findings revealed that the study's participants have experienced both their social and academic integrative patterns at the school in the same way. Indeed, three major themes were identified and analysed, namely, Programmes promoted by ENSAM on integration, relationship patterns between Sub-Saharan and Moroccan students and barriers to integration. The study revealed that the various integration efforts carried out by the school do not sufficiently cater for Sub-Saharan students' perspectives on their social and academic integration experiences. Additionally, staff knowledge regarding the integration of these minority groups is not adequately enhanced through pre-service training that covers best practices for successful integration. Language barrier and interaction patterns between Sub-Saharan students with their host ones are also found to influence Sub-Saharan students' social and academic integration. It is suggested that Moroccan Higher education institutions (HEIs) should acknowledge integration as a long and challenging process for Sub-Saharan students, and that an evaluation of integrative practices promoted at the school is needed.

Integrative cultivation pattern, distribution, yield and potential benefit of rubber based agroforestry system in China

Rubber trees are the most widely cultivated natural rubber crops globally. Although commercial cultivation of rubber trees occurs in Hainan, Yunnan and Guangdong provinces in the tropical regions of southern China, adapting rubber plantations to global sustainable development remains a challenge. Particularly within rubber plantations, sustainability and efficiency in production and managements often suffer due to soil degradation resulting from monoculture land use and poor management practices. Rubber based agroforestry systems offer a sustainable approach to mimic natural ecosystem. This study aims to explore the patterns, distribution, yields and potential benefits of rubber agroforestry system. The results show that there were 15 types of rubber agroforestry patterns, including Rubber–Banana, Rubber–Pineapple, Rubber–Cassava, Rubber–Passionfruit, Rubber–Flower plants, Rubber–Ficus hirta, Rubber–Corn, Rubber–Edible fungus, Rubber–Alpinia oxyphylla, Rubber–coffee, Rubber–Phrynium hainanense, Rubber–Amomum villosum, Rubber–Amorphophallus, Rubber–Tea, Rubber–Pandanus amaryllifolius. These patterns are distributed across 17 counties in Hainan Province and 10 counties in Yunnan Province. The total area of rubber based agroforestry exceeds 79,520 ha, comprising 35,998 ha of young rubber agroforestry systems and 43,522 ha of mature ones. The total annual output value benefit of rubber agroforestry systems surpasses 834 million US dollars. Young agroforestry systems yield an annual output value of 269 million US dollars, while mature agroforestry systems contribute 110 billion US dollars from dry rubber and 455 million US dollars from integrative crops. Yunnan Province's economic output value for rubber agroforestry systems exceeds that of Hainan Province due to higher output values of passionfruit from young rubber plantations and Amorphophallus from mature ones. These results indicate the widespread acceptance of rubber agroforestry systems in China's rubber planting practices and their significant potential for output benefits. As environmentally friendly and sustainable production patterns, rubber agroforestry systems have the potential to enhance the sustainable livelihood capacity of smallholders and contribute to poverty alleviation efforts in China and globally. These findings enrich agroforestry systems science and provide valuable insights for optimizing industrial policies and technology transfer.

The Relationship between Urbanization and the Water Environment in the Chengdu-Chongqing Urban Agglomeration

Ensuring the harmonization between urbanization and water environment systems is imperative for fostering sustainable regional development in the future. With urban agglomerations and metropolitan areas increasingly dominating urbanization trends in China, it is crucial to explore the interdependent relationship between urbanization and the water environment. Such exploration holds significant implications for water resource management and the formulation of urbanization policies. This study utilizes a comprehensive index system encompassing urbanization and the water environment. It examines the coupled and coordinated spatial and temporal dynamics of these systems within the Chengdu-Chongqing Urban Agglomeration from 2011 to 2019. This analysis employs the Coupled Coordination Degree model alongside the spatial autocorrelation model. The results show that there is still much room for improving the urbanization development level and the water environment quality. During the study period, a nonlinear and nearly U-shaped evolutionary trajectory was observed between the two systems. The results suggest that there is a progression from basic to more advanced coordination between urbanization and water environment at the city cluster scale. Urbanization appears to generally lag behind the water environment in terms of coordination. At the municipal scale, there is a gradient in which some cities show better coordination compared to others. Spatially, the coupling and coordination of this region exhibited dual-core development characteristics centered around Chengdu and Chongqing. The region is in the transition stage towards a core-type networked and decentralized development mode, which has not yet formed an integrated pattern. This offers a theoretical and technical framework for harmonizing water environments and urbanization in similar regions globally.

Using learning analytics to explore peer learning patterns in asynchronous gamified environments

This study explored the dynamics of students' knowledge co-construction in an asynchronous gamified environment in higher education, focusing on peer discussions in college business courses. Utilizing epistemic network analysis, sequence pattern mining, and automated coding, we analyzed the interactions of 1,319 business students. Our findings revealed that externalization and epistemic activity were prevalent, demonstrating a strong link between problem-solving and conceptual understanding. Three primary discussion types were observed: argumentative, epistemic, and social, each with unique patterns of engagement and idea integration. Effective knowledge co-construction patterns included open-ended questions with an epistemic focus, debates serving as intense knowledge co-construction arenas, and social interactions fostering a supportive and collaborative learning environment. The introduction of gamification elements led to increased student engagement and participation. Our findings emphasize the significance of structured analysis, collaboration, and argumentation in promoting effective knowledge co-construction in peer learning settings. This study offers insights into the temporal interplay of discourse dimensions and their potential for collaborative learning, enhancing our understanding of how learning analytics can be employed to discover ways in which students co-construct knowledge in asynchronous gamified environments.

Transgenic early japonica rice: Integration and expression characterization of stem borer resistance Bt gene

BackgroundTransgenic insect-resistant rice offers an environmentally friendly approach to mitigate yield losses caused by lepidopteran pests, such as stem borers. Bt (Bacillus thuringiensis) genes encode insecticidal proteins and are widely used to confer insect resistance to genetically modified crops. This study investigated the integration, inheritance, and expression characteristics of codon-optimised synthetic Bt genes, cry1C* and cry2A*, in transgenic early japonica rice lines. MethodsThe early japonica rice cultivar, Songgeng 9 (Oryza sativa), was transformed with cry1C* or cry2A*, which are driven by the ubi promoter via Agrobacterium tumefaciens-mediated transformation. Molecular analyses, including quantitative PCR (qPCR), enzyme-linked immunosorbent assay (ELISA), and Southern blot analysis were performed to confirm transgene integration, inheritance, transcriptional levels, and protein expression patterns across different tissues and developmental stages. ResultsStable transgenic early japonica lines exhibiting single-copy transgene integration were established. Transcriptional analysis revealed variations in Bt gene expression among lines, tissues, and growth stages, with higher expression levels observed in leaves than in other organs. Notably, cry2A* exhibited consistently higher mRNA and protein levels than cry1C* across all examined tissues and developmental time points. Bt protein accumulation followed the trend of leaves > stem sheaths > young panicles > brown rice, with peak expression during the filling stage in the vegetative tissues. ConclusionsSynthetic cry2A* displayed markedly elevated transcription and translation compared to cry1C* in the transgenic early japonica rice lines examined. Distinct spatiotemporal patterns of Bt gene expression were elucidated, providing insights into the potential insect resistance conferred by these genes in rice. These findings will contribute to the development of insect-resistant japonica rice varieties and facilitate the rational deployment of Bt crops.

Enhancing the security of web applications through innovative patterns of integration of artificial intelligence

Ensuring the security of digital operations, especially in the areas of e-commerce and financial transactions, remains increasingly relevant. Therefore, the subject of research is the development of a specialized software library. This library aims to improve the security of web applications. The purpose of this study is to develop a software library that uses artificial intelligence and machine learning methods to analyze and improve the level of security of financial transactions. The use of these advanced technologies helps automate the detection of potentially fraudulent or risky transactions, thereby providing a higher level of user protection. The following tasks are solved in the article: analysis of modern methods of processing financial transactions and identification of possible security threats; development of a UML diagram of library classes for processing and analyzing financial transactions; testing and validation of the developed artificial intelligence model for assessing the security of financial transactions on real financial data. Machine learning methods were defined and applied using the scikit-learn library in Python, the algorithms of which are capable of analyzing large volumes of data and identifying potential risks with high accuracy. This ensures effective integration of artificial intelligence technologies. The following results were obtained in the work: the criteria for assessing the riskiness of financial transactions for the identification of potential risks are defined; the program operation algorithm is described, which includes procedures for determining and classifying transaction risks; pseudocode is presented, which illustrates the structure of classes and methods of the model, opening opportunities for its adaptation and scaling; methods of generating test data reproducing realistic scenarios of financial transactions have been developed; an analysis of the results was carried out to assess the effectiveness of the developed model. In conclusion, the results of research and testing allow us to evaluate the model's response to various data and its effectiveness in real conditions, as the work presents examples of processing various types of transactions. In addition, the study presents not only the development and validation of the developed model, but also the prospects of its use on a larger scale, integration with existing web applications.

Surface water monitoring of chemicals associated with animal husbandry in an agricultural region in the Netherlands using passive sampling

Compounds originating from animal husbandry can pollute surface water through the application of manure to soil. Typically, grab sampling is employed to detect these residues, which only provides information on the concentration at the time of sampling. To better understand the emission patterns of these compounds, we utilized passive samplers in surface water to collect data at eight locations in a Dutch agricultural region, during different time intervals. As a passive sampler, we chose the integrative-based Speedisk® hydrophilic DVB. In total, we targeted 46 compounds, among which 25 antibiotics, three hormones, nine antiparasitics, and nine disinfectants. From these 46 compounds, 22 compounds accumulated in passive samplers in amounts above the limit of quantification in at least one sampling location. Over the 12-week deployment period, a time integrative uptake pattern was identified in 53% of the examined cases, with the remaining 47% not displaying this behavior. The occurrences without this behavior were primarily associated with specific location, particularly the most upstream location, or specific compounds. Our findings suggest that the proposed use of passive samplers, when compared in this limited context to traditional grab sampling, may provide enhanced efficiency and potentially enable the detection of a wider array of compounds. In fact, a number of compounds originating from animal husbandry activities were quantified for the first time in Dutch surface waters, such as flubendazole, florfenicol, and tilmicosine. The set-up of the sampling campaign also allowed to distinguish between different pollution levels during sampling intervals on the same location. This aspect gains particular significance when considering the utilization of different compounds on various occasions, hence, it has the potential to strengthen ongoing monitoring and mitigation efforts.