General Method Research Articles

Some new families of asymmetric nested orthogonal arrays with any strength

We propose a general method for constructing asymmetric nested orthogonal arrays (NOAs) with any strength via a newly defined matrix operation. The NOAs obtained can recursively produce other new NOAs. A lot of selective new asymmetric NOAs are tabulated.

Fast fabrication of “all-in-one” injectable hydrogels as antibiotic alternatives for enhanced bacterial inhibition and accelerating wound healing

Skin wound infection has become a notable medical threat. Herein, the polysaccharide-based injectable hydrogels with multifunctionality were developed by a simple and fast gelation process not only to inactivate bacteria but also to accelerate bacteria-infected wound healing. Sodium nitroprusside (SNP) loaded PCN-224 nanoparticles were introduced into the polymer matrix formed by the dynamic and reversible coordinate bonds between Ag+ with carboxyl and amino or hydroxyl groups on carboxymethyl chitosan (CMCS), hydrogen bonds and electrostatic interactions in the polymer to fabricate SNP@PCN@Gel hydrogels. SNP@PCN@Gel displayed interconnected porous structure, excellent self-healing capacity, low cytotoxicity, good blood compatibility, and robust antibacterial activity. SNP@PCN@Gel could produce reactive oxygen species (ROS) and NO along with Fe2+, and showed long-term sustained release of Ag+, thereby effectively killing bacteria by synergistic photothermal (hyperthermia), photodynamic (ROS), chemodynamic (Fenton reaction), gas (NO) and ion (Ag+ and -NH3+ in CMCS) therapy. Remarkably, the hydrogels significantly promoted granulation tissue formation, reepithelization, collagen deposition and angiogenesis as well as wound contraction in bacteria-infected wound healing. Taken together, the strategy represented a general method to engineer the unprecedented photoactivatable “all-in-one” hydrogels with enhanced antibacterial activity and paved a new way for development of antibiotic alternatives and wound dressing.Graphical abstract

Accessing a Diverse Set of Functional Red-Light Photoswitches by Selective Copper-Catalyzed Indigo N-Arylation.

The ability to correlate the structure of a molecule with its properties is the key to the rational and accelerated design of new functional compounds and materials. Taking photoswitches as an example, the thermal stability of the metastable state is a crucial property that dictates their application in molecular systems. Indigos have recently emerged as an attractive motif for designing photoswitchable molecules due to their red-light addressability, which can be advantageous in biomedical and material applications. The lack of synthetic techniques to derivatize the abundant parent dye and a thorough understanding of the impact of structural factors on the photochemical and thermal properties hinder broad applications of this emerging photoswitch class. Herein, we report an efficient copper-catalyzed indigo N-arylation that enables the installation of a wide variety of aryl moieties carrying useful functional groups. The exclusive selectivity for monoarylation likely originates from a bimetallic cooperative mechanism through a binuclear copper-indigo intermediate. Functional N-aryl-N'-alkylindigos were prepared and shown to photoisomerize efficiently under red light. Moreover, this design allows for the modulation of thermal half-lives through N-aryl substituents, while the N'-alkyl groups enable the independent attachment of functional moieties without affecting the photochromic properties. A strong correlation between the structure of the N-aryl moiety and the thermal stability of the photogenerated Z-isomers was achieved by multivariate linear regression models obtained through a data-science workflow. This work thus builds an avenue leading to versatile red-light photoswitches and a general method for structure-property correlation that is expected to be broadly applicable to the design of photoresponsive molecules.

Direct synthesis of controllable ultrathin heteroatoms-intercalated 2D layered materials

Two-dimensional (2D) layered materials have been studied in depth during the past two decades due to their unique structure and properties. Transition metal (TM) intercalation of layered materials have been proven as an effective way to introduce new physical properties, such as tunable 2D magnetism, but the direct growth of atomically thin heteroatoms-intercalated layered materials remains untapped. Herein, we directly synthesize various ultrathin heteroatoms-intercalated 2D layered materials (UHI-2DMs) through flux-assisted growth (FAG) approach. Eight UHI-2DMs (V1/3NbS2, Cr1/3NbS2, Mn1/3NbS2, Fe1/3NbS2, Co1/3NbS2, Co1/3NbSe2, Fe1/3TaS2, Fe1/4TaS2) were successfully synthesized. Their thickness can be reduced to the thinnest limit (bilayer 2D material with monolayer intercalated TM), and magnetic ordering can be induced in the synthesized structures. Interestingly, due to the possible anisotropy-stabilized long-range ferromagnetism in Fe1/3TaS2 with weak interlayer coupling, the layer-independent magnetic ordering temperature of Fe1/3TaS2 was revealed by magneto-transport properties. This work establishes a general method for direct synthesis of heteroatom-intercalated ultrathin 2D materials with tunable chemical and physical properties.

Exploration of the behavior and evolution features of beam-column joints with T-stub using the structural strain energy method

Based on the structural strain energy method, the work behavior of four T-stub connection joints under cyclic loading is analyzed to visualize their working behavior and failure evolution. The experimental strain data are modeled as generalized strain energy density (GSED) to characterize the structural stress state and the corresponding characteristic parameters, and the Mann-Kendall (M-K) criterion is formulated to determine the performance characteristic points (P and Q) of the joint Mj-Ej curves and to derive the starting point of structural continuity damage. Then, by analyzing the parameters of the joint working state (strain, deformation, joint energy dissipation, connection stiffness, bolt force and pry force), the trends of the joint stressing state curves before and after the critical loading are reflected. Finally, the feature point data interpolation (EDI) method is introduced to effectively expand the joint test data, visualize the change process of the strain/stress field, and deeply reveal the mechanical response mechanism and evolutionary degradation law behind it. The contribution of the above work is to quantitatively identify the P and Q characteristic points in the changing trend of the joint working state, to reveal the mechanical mechanism and the failure degradation law from the perspective of energy evolution, and to visualize the mutation of the field data before and after the P/Q using the EDI method, which is a generalized method that can be applied to the other progressive failure structures.

Advances in the Development of Dual‐Atom Catalysts: Structural Characterization and Diversified Catalytic Applications

AbstractAtomically dispersed metal atoms on supports exhibit distinctive advantages in maximizing atomic utilization, which plays an indispensable role in the fabrication of cost‐effective catalysts. In particular, dual‐atom catalysts (DACs) containing dual active sites not only retain the merits of single‐atom catalysts (SACs), but also introduce diverse interactions between the two adjacent metal atoms, endowing them with superior catalytic performance and a broad range of applications. With the development of DACs, it is important to identify active sites and establish intrinsic catalytic mechanisms relationship. The general characterization methods for DACs are comprehensively summarized here, especially the structural nature of dual active sites is discussed in detail. Subsequently, the representative scientific research efforts in various applications including thermocatalysis, electrocatalysis, and photocatalysis are described, with emphasis on structure‐property relationships. Finally, a summary and some prospects for the future of advanced DACs are presented.

Financial inclusion and the global net-zero emissions agenda: Does governance quality matter?

We inspect the impact of financial inclusion on carbon (CO2) emissions and the role that quality of governance plays using a global dataset from 119 countries between 2004 and 2020. We address endogeneity using the dynamic two-step generalized method of moment estimator and further test the robustness of results using the Driscol-Kraay estimator, which is crucial for addressing cross-sectional and temporal dependence. The findings showed that financial inclusion and quality of governance exhibited a positive and significant impact on CO2 emissions. Further analysis shows that the impact of financial inclusion and governance on CO2 emissions varies across countries at different stages of economic development. We also documented significant variations in the results across six geographical regions. Also, the evidence from moderation and marginal effect analysis revealed that the marginal effect of financial inclusion on CO2 emissions is contingent on governance quality and that improving governance quality (scores) conditions financial inclusion to minimize CO2 emissions across the globe. We, therefore, demonstrate that in countries with relatively higher (better) governance scores, such as the United Kingdom, Denmark, Singapore, and New Zealand, financial inclusion significantly mitigates CO2 emissions compared to countries with relatively lower (weak) governance scores, such as Iraq, Zimbabwe, Ghana, and Chad. Finally, mediation analysis also highlights that the effect of financial inclusion on CO2 emissions is mediated by renewable energy consumption, industrialization, and household consumption. The policy implications are discussed.

Analysis of nanomaterial biocoronas in biological and environmental surroundings.

A biomolecular coating, or biocorona, forms on the surface of engineered nanomaterials (ENMs) immediately as they enter biological or environmental systems, defining their biological and environmental identity and influencing their fate and performance. This biomolecular layer includes proteins (the protein corona) and other biomolecules, such as nucleic acids and metabolites. To ensure a meaningful and reproducible analysis of the ENMs-associated biocorona, it is essential to streamline procedures for its preparation, separation, identification and characterization, so that studies in different labs can be easily compared, and the information collected can be used to predict the composition, dynamics and properties of biocoronas acquired by other ENMs. Most studies focus on the protein corona as proteins are easier to monitor and characterize than other biomolecules and play crucial roles in receptor engagement and signaling; however, metabolites play equally critical roles in signaling. Here we describe how to reproducibly prepare and characterize biomolecule-coated ENMs, noting especially the steps that need optimization for different types of ENMs. The structure and composition of the biocoronas are characterized using general methods (transmission electron microscopy, dynamic light scattering, capillary electrophoresis-mass spectrometry and liquid chromatography-mass spectrometry) as well as advanced techniques, such as transmission electron cryomicroscopy, synchrotron-based X-ray absorption near edge structure and circular dichroism. We also discuss how to use molecular dynamic simulation to study and predict the interaction between ENMs and biomolecules and the resulting biocorona composition. The application of this protocol can provide mechanistic insights into the formation, composition and evolution of the ENM biocorona, ultimately facilitating the biomedical and agricultural application of ENMs and a better understanding of their impact in the environment.

Model and performance analysis of energy conversion in functionally graded flexoelectric semiconductor nanostructures

Energy systems converting efficiently from surrounding environment for powering semiconductor electronic components at nanoscale has attracted intense research interests. Due to the strong size dependency, flexoelectricity has been demonstrated as an excellent candidate implemented as nanoscale piezoelectric semiconductor energy harvesters. In this work, through a judicious exploitation of structural symmetry and nonuniformity, we theoretically study the energy conversion behaviors of a novel asymmetric nanodisk model composed of functionally graded (FG) flexoelectric semiconductor (FS) (FG-FS) materials while being loaded with thickness-extensional mechanical vibration. In numerical analysis, the material parameters have been treated with a general variation method under the Cartesian coordinate systems for simplicity. Taking into accounts of the nonuniform structural form and multi-field coupling features, we derived an octic governing equation with variable coefficients for the current analyzed FG-FS nanodisk structure, which is, however, almost impossible to obtain analytical solutions. To successfully address this issue and also further explore the improved performance and new phenomena induced by the FG type of non-uniform structural profile, we specially proposed an efficient tensor algorithm and reduced the octic governing equation into one quartic equation with variable coefficients and other four common quadratic equations. Later, we explicitly explored the effect of each physical parameter on the energy conversion performance of the FS energy harvester by studying the variations of the output electric power density and the energy conversion efficiency. Results illustrated that the electromechanical energy conversion behaviors of the studied FG-FS nanodisk can be properly tuned by not only the related material parameters but also their gradations. We believe our work have the potential to pave new way for the designs and manufacture of novel nano-electronic semiconductor components for the future practical applications.

Study on the bioactive components of Banxia Xiexin Decoction with different decocting methods and its effects on ulcerative colitis rats from the perspective of phase states

Ethnopharmacological relevanceBanxia Xiexin Decoction (BXD) is one of the seven classic prescriptions of the special decoction method (SDM) of “removing dregs and decocting again”, which has been widely used in inflammatory bowel diseases such as ulcerative colitis (UC). However, the impacts of SDM have not been fully investigated, either on the components or on the biological effects. Aim of the studyThis study aimed to investigate the rational of SDM traditionally recorded about BXD, re-decoction after dreg-removal, by comparing with the contemporary general decoction method (GDM) from the perspective of phase states, in the bioactive components from the perspective of phase states, and their corresponding pharmacodynamic effects on a particular UC rat model. MethodsThe BXD decoctions were respectively obtained by SDM and GDM, together with the different samples with different decocting time. The phase state samples (true solution, colloidal phase, and precipitated phase), were also obtained after a series of separation process and characterized. The multi-components in the in-process decoctions, original decoctions and phase state samples were quantitatively determined. HPLC fingerprint spectrum of the samples were also detected and compared with chemometrics analysis. A rat model of ulcerative colitis with cold-heat complex syndrome was established, on which the pharmacodynamic effects of different phases of SDM-made BXD were investigated. ResultsThe results showed that the contents of eight marker components in SDM-made decoction were significantly higher than those in GDM-made decoction. Compared with the precipitated phases and true solutions, the colloidal phase was confirmed to obtain absolutely higher contents of the components (except berberine). The analysis on HPLC fingerprints also revealed that the profiles of colloidal phase showed the majority of the characteristics of original decoctions, when compared with the other phases. The results showed the BXD group, precipitated phase group and colloidal phase group had certain therapeutic effects on the ulcerative colitis rats with cold-heat complex syndrome, among which the original decoction group showed optimal effects, followed by the colloidal phase. ConclusionThe study has provided the experimental evidence of the bioactive components and pharmacodynamic effects on the rational of SDM, as originally recorded about the classic prescription, which might provide useful idea for the interpretation on medicinal properties of TCM compound prescriptions, and contemporary TCM innovative drug developments.

Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs

While Graph Neural Networks (GNNs) have demonstrated their effectiveness in processing non-Euclidean structured data, the neighborhood fetching of GNNs is time-consuming and computationally intensive, making them difficult to deploy in low-latency industrial applications. To address the issue, a feasible solution is graph knowledge distillation (KD), which can learn high-performance student Multi-layer Perceptrons (MLPs) to replace GNNs by mimicking the superior output of teacher GNNs. However, state-of-the-art graph knowledge distillation methods are mainly based on distilling deep features from intermediate hidden layers, this leads to the significance of logit layer distillation being greatly overlooked. To provide a novel viewpoint for studying logits-based KD methods, we introduce the idea of decoupling into graph knowledge distillation. Specifically, we first reformulate the classical graph knowledge distillation loss into two parts, i.e., the target class graph distillation (TCGD) loss and the non-target class graph distillation (NCGD) loss. Next, we decouple the negative correlation between GNN’s prediction confidence and NCGD loss, as well as eliminate the fixed weight between TCGD and NCGD. We named this logits-based method Decoupled Graph Knowledge Distillation (DGKD). It can flexibly adjust the weights of TCGD and NCGD for different data samples, thereby improving the prediction accuracy of the student MLP. Extensive experiments conducted on public benchmark datasets show the effectiveness of our method. Additionally, DGKD can be incorporated into any existing graph knowledge distillation framework as a plug-and-play loss function, further improving distillation performance. The code is available at https://github.com/xsk160/DGKD.

Context-Specific Dynamics of Centrally Planned Macro Program for School Infrastructure Reform

The educational program evolved at the national level manifests in a general macro program. The school infrastructure development program through the President’s Education Reform Program (PERP) is one of the centrally developed educational programs in Nepal, as the case of this research article. The objective of this article is to analyze the context dynamics of centrally evolved school infrastructure (ICT and classroom building) program installation. The primary data employed in this article were drawn from the stakeholders of three program school cases situated in Sarlahi and Rautahat districts belonging to an embedded multiple-case study design of qualitative research methodology. FGD, key informant (KI) interviews, and general observation methods were used for information elicitation. The research findings reveal that centrally developed macro program policy interacts with school system-specific micro-contexts or central policy contexts which make program policy be implemented irrespective of the prioritized need, adapted with a modified technical design responding to the school-specific resources, and practiced with diverse school leadership styles. In the lapses of coordination and commitment of the tiered governance systems, the PERP or any other macro-program policy becomes strange for the implementers. The complex interaction of school-specific systems dynamics consisting of school infrastructural needs, stakeholder involvement, established school leadership styles, and initiation of local government authority make central macro policy be enacted and adapted rather than be linearly implemented. This implies incorporating the school-specific dynamics as a core component of the education plan for the formation of pragmatic program policy to enact effectively.

Electrochemical deoxygenative amination of stabilized alkyl radicals from activated alcohols

Alkylamine structures represent one of the most functional and widely used in organic synthesis and drug design. However, the general methods for the functionalization of the shielded and deshielded alkyl radicals remain elusive. Here, we report a general deoxygenative amination protocol using alcohol-derived carbazates and nitrobenzene under electrochemical conditions. A range of primary, secondary, and tertiary alkylamines are obtained. This practical procedure can be scaled up through electrochemical continuous flow technique.

ZrO2-CeO2/WO3 heterostructure films prepared by magnetron sputtering for humidity-tolerant triethylamine sensing

Up to now, the development of gas sensors based on metal oxide semiconductors (MOSs) that can detect triethylamine (TEA) under high humidity conditions remains a significant challenge. In this study, we present the ZrO2-CeO2/WO3 (ZCW) heterostructure films for TEA detection under high relative humidity, which were prepared by co-sputtering ZrO2 and CeO2 onto the surface of a WO3 film using the radio frequency magnetron sputtering method. The gas sensors based on the ZCW heterostructure films exhibited outstanding TEA-sensing performance, including high response (18.56–20 ppm), rapid response/recovery rate (1/5 s), excellent selectivity, wide detection range (0.5–500 ppm), outstanding reproducibility and stability, and ideal anti-humidity ability. The excellent TEA-sensing properties of the ZCW heterostructure films should be mainly attributed to their unique surface microstructure, abundant oxygen vacancies, and the formation of heterostructures between ZrO2, CeO2, and WO3. Compared to the WO3 film, both the CeO2/WO3 and ZrO2-CeO2/WO3 films demonstrated highly-enhanced humidity-tolerant performance, which should result from the redox reactions between the Ce3+ and Ce4+ ions. This study provides a general method for preparing the MOSs-based TEA sensors that could work under high humidity condition.

Tafsir Iqtisadi di Indonesia: Metodologi, Validitas dan Kontribusi

Abstract: This research aims to examine the works of Tafsir Iqtisadi/Tafsir on economic verses published in Indonesia from 2012 to 2023. Many of these works appeared when Sharia economics was developing, especially when PTKI opened a Sharia Economics Department in Indonesia. Have we employed the descriptive-analytical method, and historical philosophical approach, and based on the literature study, this article finds that Tafsir Iqtisadi in Indonesia is a tafsir product, which is a book and research in itself. The Tafsir Iqtisadi product is an interpretation of the Al-Quran with an economic approach. This approach is an acceptable style of interpretation and originates from the style of Tafsir Ilmi, Tafsir Ahkam and Tafsir Adabi Ijtima’i. Methodologically, the Tafsir Iqtisadi books combine tafsir bil ra'yi and tafsir bil ma'tsur. Meanwhile, the presentation of Tafsir Iqtisadi products consists of the presentation of tahlili, ijmali and maudhui. In terms of validity, Tafsir Iqtisadi can be said to be valid because it is in accordance with general interpretation methods, and also become a theological and conceptual foundation tool in developing Sharia Economics in Indonesia.

Comparison of Lidocaine Versus Nifedipine for Attenuation the Cardiovascular Response to Direct Laryngoscopy and Intubation during General Anesthesia

Background: Laryngoscopy and Endo-tracheal intubation are gold standard for securing the airway and giving positive pressure ventilation. Drugs like Lidocaine, Fentanyl citrate and Nifedipine are used frequently to attenuate presser response to laryngoscopy and intubation, Single drug or technique is not satisfactory. Different methods of attenuation of response to laryngoscopy and intubation are still to be studied with new drugs tried every once a while. Aim: To compare the lidocaine and nifedipine effect on the cardiovascular response to direct laryngoscopy and intubation during general anesthesia Methods: Following the approval of the Institutional Review Board of AL jala Teaching hospital and written informed consent from patients undergoing elective surgery under general anesthesia, fifty patients between 18 and 60 years old, American Society of Anesthesiologist (ASA) Grades I and II, were randomized to one of the following groups, Group A: Lidocaine group 1.5 mg/kg IV bolus 3 minutes prior to laryngoscopy and intubation, Group B: Nifedipine group. 10 mg SL 15 minutes prior to induction. The induction protocol was standard for all patients. Intraoperative vitals were monitored using ECG, Pulse Oxymeter and NIBP. HR, SBP, DBP and MAP were recorded & RPP was calculated in all patients inside the operation theater just before induction (baseline), immediate after laryngoscopy and intubation, every 2 minutes after intubation during which no stimulus was given to patient for the next 10 minutes after laryngoscopy and intubation. Results: Patients' characteristics of age, gender and were comparable in the two groups. There was no significant difference between the groups regarding the type of the surgery. Statistically there was no significant difference (p=0.66) in the two groups in terms of ASA grading. No significant difference was observed between Lignocaine group and Nifedipine group values (P> 0.05), in any parameters at pre anaesthetic check-ups. the first significant change between the two groups , in which significant drop (p <0.05 ) in MAP occurred 4 minutes after intubation in group received Nifedipine sublingually, Once again , 6 minutes after intubation we recorded significant drop in SBP and MAP in Nifedipine group compared to Lidocaine group, No significant changes in parameters between two groups , 8and 10 minutes after intubation. The HR reached its maximum value immediately after intubation, after that the recording of HR became fluctuant in both groups. The percentage of rise in HR was less significant in Lidocaine group immediately after intubation and after that except for the reading 2 minutes, which was less significant in Nifedipine group. Both drugs failed to bring the HR to pre-operative value even after 10 minutes; the highest SBP was recorded at the pre-anaesthetic check-up. After that the SBP started to decline in both groups, this decline reached its maximum 4 minutes after intubation. After that the SBP started to gradually rise until 10 minutes without reaching the pre-anaesthetic basal value. The percentage of decline was more pronounced in Lidocaine group immediately and after 2 minutes of intubation and more pronounced in Nifedipine group after that, The highest DBP was recorded at the pre-anaesthetic check-up. After that the DBP started to decline in both groups, this decline reached its maximum 4 minutes after intubation. After that the DBP started to gradually rise until 10 minutes without reaching the pre-anaesthetic basal value. The percentage of decline was more pronounced in Lidocaine group immediately after intubation and more pronounced in Nifedipine group after that, The highest MAP was recorded at the pre-anaesthetic check-up. After that the MAP started to decline in both groups, this decline reached its maximum 4 minutes after intubation. After that the MAP started to gradually rise until 10 minutes without reaching the pre-anaesthetic basal value. The percentage of decline was more pronounced in Lidocaine group immediately after intubation and more pronounced in Nifedipine group after that. The Pressure Rare Product reached its maximum value immediately after intubation, the highest decrease in Pressure Rare Product occurred 4 minutes after intubation in both groups Conclusion: Both drugs in our study ( Lidocaine and Nifedipine ) has been shown to be effective in attenuating and preventing the increase in haemodynamic stress response to direct laryngoscopy and intubation during general anaesthesia in our patients. However, Nifedipine is more effective than Lidocaine in preventing the hypertensive response and attenuating the increase in RPP, and Lidocaine is more effective in attenuating the tachycardia response than Nifedipine. Recommendation: Based on the results of this study, it is recommended to consider the use of iv Lidocaine and sublingual Nifedipine to reduce the presser effect of laryngoscopy and intubation.

Copper-Catalyzed Tunable Oxygenative Rearrangement of Tetrahydrocarbazoles.

Herein, we report a general copper-catalyzed method for the tunable oxygenative rearrangement of tetrahydrocarbazoles to cyclopentyl-bearing spiroindolin-2-ones and spiroindolin-3-ones. The method demonstrates excellent chemoselectivity, regioselectivity, and product control simply by using the H2O and O2 as oxygen source, respectively. This open-flask method is safe and simple to operate, and no other chemical oxidants are required. Besides, inspired from the unique pathway of 1, 2-migration rearrangement, a highly controllable hydroxylation of indoles for the construction of C3a-hydroxyl iminium indolines was also developed. Mechanistic experiments suggest that a single-electron transfer-induced oxidation process is responsible for the tunable selectivity control.

The Efficiency of Financing Environmental Protection Measures in the Context of Ukraine’s Future Membership in the EU

In recent decades, humanity has had a significant negative impact on the environment. This problem can be solved only by establishing a rational environmental management policy and ensuring an effective financial policy in the context of balancing emissions and expenditures on environmental protection measures. The purpose of this article is to analyze the efficiency of financing environmental protection measures by determining the dependence of pollutant emissions on environmental protection expenditures in Ukraine and the European Union. The following methods were used for the study: analysis, synthesis, generalization, comparison, specification, and statistical and graphical methods. The statistical information was systematized on the basis of open data from the Open Budget web portal, the State Statistics Service, and Eurostat. This study identified the dynamics of revenues from environmental taxes in Ukraine; taxes on air emissions prevail. Most of the expenditures are made from the state budget. According to the functional classification, environmental expenditures are mainly aimed at preventing and eliminating environmental pollution. The dynamics of capital investments in environmental protection were also studied. To assess the effectiveness of the state policy in the field of environmental protection, we analyzed the dependence of pollutant emissions in Ukraine, Poland, and Romania on the amount of environmental expenditures and investments in this area and revenues from environmental tax. In Ukraine, the amount of pollutants released into the atmosphere depends mostly on investments in this area; in Poland—on revenues from environmental taxes; and in Romania—on expenditures on environmental protection. It has been established that the obtained models are adequate and can be used to build future forecasts of pollutant emissions. Directions for the development of financial and environmental policy are proposed. Post-war restoration of the environmental situation should be carried out on the basis of sustainable development, focusing on the European Green Deal A triple-task approach should be implemented, including environmental restoration, the minimization of negative climate change and balanced use of resources, and the expansion of powers of the relevant ministry with a focus on the strategic goals of the state policy. It is necessary to develop methodological recommendations according to international standards to assess the real state of the environment.

Permutation Strategies for Inference in ANOVA‐Based Models for Nonorthogonal Designs Including Continuous Covariates

ABSTRACTAnalysis of variance and linear models is undoubtedly one of the most useful statistical contributions to experimental and observational science. With the ability to characterize a system through multivariate responses, these methods have emerged to be general tools regardless of response dimensionality. Contemporary methods for establishing statistical inference, such as ANOVA simultaneous component analysis (ASCA), are based on Monte Carlo sampling; however, a flat uniform resampling scheme may violate the structure of the uncertainty for unbalanced designs as well as for observational data. In this work, we provide permutation strategies for inferential testing for unbalanced designs including interaction models and establish nonuniform randomization based on the concept of propensity score matching. Lastly, we provide a general method for modelling continuous covariates based on kernel smoothers. All methods are characterized on their ability to provide unbiased Type I error results.

Image-based intrusion detection system for GPS spoofing cyberattacks in unmanned aerial vehicles

The operations of unmanned aerial vehicles (UAVs) are susceptible to cybersecurity risks, mainly because of their firm reliance on the Global Positioning System (GPS) and radio frequency (RF) sensors. GPS and RF sensors are vulnerable to potential threats, such as spoofing attacks that can cause the UAVs to behave erratically. Since these threats are widespread and potent, it is imperative to develop effective intrusion detection systems. In this paper, we propose an image-based intrusion detection system for detecting GPS spoofing cyberattacks based on a deep learning methodology. We combine convolutional neural networks with Principal Component Analysis (PCA) to reduce the dimensionality of the dataset features, data augmentation to increase the size and diversity of the training dataset, and transfer learning to improve the proposed model’s performance with limited data to design a fast, accurate, and general method. Extensive numerical experiments demonstrate the effectiveness of the proposed solution carried out using benchmark datasets. We achieved an accuracy of 100% within a running time of 120.64 s at 0.3529 ms latency and a detection time of 2.035 s in the case of the training dataset. Further, using this trained model, we achieved an accuracy of 99.25% within a detection time of 2.721 s on an unseen dataset that was unrelated to the one used for training the model. In contrast, other models, such as Inception-v3, showed lower accuracy on unseen datasets. However, Inception-v3 performance improved significantly after Bayesian optimization, with the Tree-structured Parzen Estimator reaching 99.06% accuracy. Our results demonstrate that the proposed image-based intrusion detection method outperforms the existing solutions while providing a general model for detecting cyberattacks included in unseen datasets.