Complex Ones Research Articles

In Defense of Hitchens’s Razor

In this chapter, I’m going to defend what has come to be known as Hitchens’s Razor, which he stated as follows: “What can be asserted without evidence can also be dismissed without evidence.” The point Christopher Hitchens was making is that miracle claims asserted without any evidence can be dismissed. Period! William of Ockham (1285‒1349) had previously articulated what is known as Ockham’s Razor, whereby “entities should not be multiplied without necessity” when it came to supernaturally caused miracles. According to Ockham, the best explanations are those that make the fewest assumptions, so simpler explanations are to be preferred over complex ones. This paved a pathway for modern scientific inquiry since the addition of supernatural entities adds unnecessary complexity into our scientific explanations.

Harmonizing financial futures: AI enhancement and methodical fusion in banking risk oversight

The paper will deal with the link between finance and artificial intelligence (AI) in the context of banking, including how AI was introduced from simple tasks to more complex ones involving risk management and fraud detection. The phenomenon displays use of AI by banks as exemplified by First Financial Bank, which was able to open new accounts through intelligent digital assistants. The article focuses on the question of ethical AI that aims to create trust and compliance. This article has explored the position that big language models (LLMs) hold in enhancing virtual assistants in banking and the significance of open source models, as they contribute to collaboration and innovation in the financial industry.

Rhodium-Catalyzed Direct ortho-Arylation of Anilines.

An efficient and broadly applicable rhodium-catalyzed direct ortho-arylation of anilines with aryl iodides relying on readily available aminophosphines as traceless directing groups is reported. Its scope and functional group compatibility were both found to be quite broad as a large variety of both aminophosphines and (hetero)aryl iodides, including complex ones, could be utilized. The ortho-arylated anilines could be obtained in high average yields, without any competing diarylation and with full regioselectivity, which constitutes a major step forward compared to other processes. The reaction is moreover not limited to aryl iodides, as an aryl bromide and a triflate could be successfully used, and could be extended to diarylation. Mechanistic studies revealed the key and unique role of the aminophosphine, acting not only as a substrate but also as a ligand for the rhodium catalyst.

Understanding the Characteristics of Students’ Behavioral Processes in Solving Computational Thinking Problems Based on the Behavioral Sequences

Previous research has not adequately explored students’ behavioral processes when addressing computational thinking (CT) problems of varying difficulty, limiting insights into students’ detailed CT development characteristics. This study seeks to fill this gap by employing gamified CT items across multiple difficulty levels to calculate comprehensive behavioral sequence quality indicators. And then, through latent profile analysis, we identified four distinct latent classes of behavioral process. We then examined the in-game performance differences among these classes, uncovering each class’s unique attributes. Class 1 students consistently demonstrated high-quality, efficient behavioral sequences regardless of item difficulty. In contrast, class 2 students applied significant cognitive effort and trial-and-error strategies, achieving acceptable scores despite low behavioral sequence quality. Class 3 students excelled in simpler items but faltered with more complex ones. Class 4 students displayed low motivation for challenging items, often guessing answers quickly. Additionally, we investigated the predictive value of students’ performance in gamified items and their behavioral process classes for their external CT test scores. The study finally elaborated on the theoretical implications for researchers and the practical suggestions for teachers in CT cultivation.

Rhodium‐Catalyzed Direct ortho‐Arylation of Anilines

An efficient and broadly applicable rhodium‐catalyzed direct ortho‐arylation of anilines with aryl iodides relying on readily available aminophosphines as traceless directing groups is reported. Its scope and functional group compatibility were both found to be quite broad as a large variety of both aminophosphines and (hetero)aryl iodides, including complex ones, could be utilized. The ortho‐arylated anilines could be obtained in high average yields, without any competing diarylation and with full regioselectivity, which constitutes a major step forward compared to other processes. The reaction is moreover not limited to aryl iodides, as an aryl bromide and a triflate could be successfully used, and could be extended to diarylation. Mechanistic studies revealed the key and unique role of the aminophosphine, acting not only as a substrate but also as a ligand for the rhodium catalyst.

FACIAL EXPRESSION DETECTION USING DEEP LEARNING

The use of machines to perform different tasks is constantly increasing in society. Providing machines with perception can lead them to perform a great variety of tasks, even very complex ones such as elderly care. Machine requires that machines understand about their environment and interlocutor’s intention. Recognizing facial emotions might help in this regard. During the development of this work, deep learning techniques have been used over images displaying the following facial emotions : happiness, sadness, anger, surprise, disgust, and fear. As results, such method best resolves issues of lighting variations and different orientation of object in the image and thus achieves a higher accuracy.In the field of education online learning plays a vital role.. The fundamental problem facing in the online learning environment is the low engagement of Listener to the Preceptor. The educational institutions and Preceptors are responsible to guarantee best learning environment with maximum engagement in educational activities for online learners. Key Words: Environment, interlocutor, happiness, sadness, anger, surprise, listener, educational.

Natural polymer hydrogel based 3D printed bioreactor testing platform for cancer cell culture

Although two-dimensional cell cultures provide a time- and cost-effective method for testing drugs at the preclinical level, they do not capture the three-dimensional cellular interactions or tumor penetration that must occur in vivo. Therefore, these drugs often fail as they transition from two-dimensional culture models to more complex ones, including animal models or even human clinical trials. The goal of this research was to develop a three-dimensional bioprinted pancreatic cancer drug testing platform that could increase the effectiveness of drug testing during the early preclinical stages. Specifically, different natural polymer hydrogel formulations of cellulose, alginate, and gelatin were tested to find the optimal printability and cell viability. It was determined that a cellulose nanocrystal and alginate hydrogel provided the best printability because of its superior shear thinning properties. In addition, BxPC-3 cells, that were printed and then cultured within this hydrogel for four days, exhibited a range of cell viability between 80 % and 60 %. To simulate vasculature around the bioprinted cultures, a spinning bioreactor was manufactured; however, it disturbed the cells, leading to a decrease in cell viability compared to stagnant cultures. Overall, the platform demonstrated good printability and cell viability for future use in pancreatic cancer drug testing.

The limitations of automatically generated curricula for continual learning.

In many applications, artificial neural networks are best trained for a task by following a curriculum, in which simpler concepts are learned before more complex ones. This curriculum can be hand-crafted by the engineer or optimised like other hyperparameters, by evaluating many curricula. However, this is computationally intensive and the hyperparameters are unlikely to generalise to new datasets. An attractive alternative, demonstrated in influential prior works, is that the network could choose its own curriculum by monitoring its learning. This would be particularly beneficial for continual learning, in which the network must learn from an environment that is changing over time, relevant both to practical applications and in the modelling of human development. In this paper we test the generality of this approach using a proof-of-principle model, training a network on two sequential tasks under static and continual conditions, and investigating both the benefits of a curriculum and the handicap induced by continuous learning. Additionally, we test a variety of prior task-switching metrics, and find that in some cases even in this simple scenario the a network is often unable to choose the optimal curriculum, as the benefits are sometimes only apparent with hindsight, at the end of training. We discuss the implications of the results for network engineering and models of human development.

The Development of a 3D-Printed Compliant System for the Orientation of Payloads on Small Satellites: Material Characterization and Finite Element Analysis of 3D-Printed Polyetherketoneketone (PEKK)

This article focuses on the development of a 3D-printed 2-degree-of-freedom (DOF) joint for the payloads’ orientation on small satellites. This system is a compliant mechanism, meaning that this monolithic system composed of cross-axis flexural pivots (CAFPs) produces complex movements through the elastic deformation of its structure. Using fused filament fabrication (FFF), a demonstrator made of Polyetherketoneketone (PEKK) is printed to determine its potential compatibility with space conditions. Focusing on a segment of the joint, the CAFP, this study aims for an enhancement of its mechanical behavior through the study of its printing direction and the creation of an accurate finite element model of this compliant mechanism. First, material characterization of 3D-printed PEKK is achieved through differential scanning calorimetry tests of the filament and flexural and tensile tests of specimens printed in different printing directions. Then, these data are used to perform a finite element analysis of different CAFP designs and compare their mechanical response of their 3D-printed twin using digital image correlation software. Finally, the CAFP structures were observed by X-ray tomography. The results show that printing direction greatly influences both flexural and tensile strength. Voids induced by the FFF process could impact the mechanical behavior of 3D-printed parts as the simple CAFP design has a better test/model correlation than complex ones. This could influence its resistance to space environment.

МОДЕЛИ ТУРБУЛЕНТНОСТИ В РАСЧЕТАХ АЭРОДИНАМИЧЕСКИХ ХАРАКТЕРИСТИК ГАЗОВЫХ ПОТОКОВ

Abstract. The review of the most common turbulence models in engineering calculations, which allow approximate description of turbulent flows using the Reynolds equations of motion, is carried out, and their areas of application are shown. To calculate turbulent flows by solving the Reynolds equations, a closure hypothesis is adopted for apparent turbulent stresses and other variables included in the equations.
 It is noted that Businex is considered one of the main ones, which is confirmed by experimental studies of turbulence, which show that the turbulent flow is characterized by the presence of an energy cascade from large to smaller scales.
 In addition, the authors considered: the semi-empirical Prandtl theory based on the assumption that turbulent motion consists of an infinite number of vortices of various scales that interact with each other and transfer energy from large scales to smaller ones, models specially adapted to a specific type of problem, for example, LES for modeling the interaction of turbulent flows, a generalized theory of developed turbulence (GDT, Generalized Theory of Turbulence), which is a theory, developed for the description and simulation of turbulent flows in various technical devices.
 It is proved that one of the most common approaches is to use models with different levels of detail, starting with simpler models and moving on to more complex ones, if necessary to achieve the required accuracy. This approach is called the "ladder of models" or RANS/LES method. 
 Subject of research: turbulence models for calculating aerodynamic characteristics of gas flows.
 Materials and methods: the basis of the performed research is a number of scientific works of domestic and foreign researchers in this field and the results obtained by the authors in the course of the work.
 A systematic approach is used, meaning consideration and study of the object of research as an integrated system consisting of many interrelated elements.
 Results: The authors note that one of the most common approaches is to use models with different levels of detail, starting with simpler models and moving on to more complex ones if necessary to achieve the required accuracy. This approach is called the "ladder of models" or RANS/LES method. 
 Conclusions: The choice of a turbulence model for specific cases depends on a number of factors, including flow characteristics, available data, accuracy requirements and computational capabilities. The selection criteria include: physical properties and flow mode; the degree of accuracy of calculations and calculation capabilities.

A 5-Year Review of the Impact of Lottery Incentives on HIV-Related Services.

Lottery incentives are an innovative approach to encouraging HIV prevention, treatment initiation, and adherence behaviours. This paper reviews the latest research on lottery incentives' impact on HIV-related services, and their effectiveness for motivating behaviours to improve HIV service engagement and HIV health outcomes. Our review of ten articles, related to lottery incentives, published between 2018 and 2023 (inclusive) shows that lottery incentives have promise for promoting HIV-related target behaviours. The review highlights that lottery incentives may be better for affecting simpler behaviours, rather than more complex ones, such as voluntary medical male circumcision. This review recommends tailoring lottery incentives, ensuring contextual-relevance, to improve the impact on HIV-related services. Lottery incentives offer tools for improving uptake of HIV-related services. The success of lottery incentives appears to be mediated by context, the value and nature of the incentives, and the complexity of the target behaviour.

Enhanced gorilla troops optimizer powered by marine predator algorithm: global optimization and engineering design

This study presents an advanced metaheuristic approach termed the Enhanced Gorilla Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to enhance the search capabilities of the Gorilla Troops Optimizer (GTO). Like numerous other metaheuristic algorithms, the GTO encounters difficulties in preserving convergence accuracy and stability, notably when tackling intricate and adaptable optimization problems, especially when compared to more advanced optimization techniques. Addressing these challenges and aiming for improved performance, this paper proposes the EGTO, integrating high and low-velocity ratios inspired by the MPA. The EGTO technique effectively balances exploration and exploitation phases, achieving impressive results by utilizing fewer parameters and operations. Evaluation on a diverse array of benchmark functions, comprising 23 established functions and ten complex ones from the CEC2019 benchmark, highlights its performance. Comparative analysis against established optimization techniques reveals EGTO's superiority, consistently outperforming its counterparts such as tuna swarm optimization, grey wolf optimizer, gradient based optimizer, artificial rabbits optimization algorithm, pelican optimization algorithm, Runge Kutta optimization algorithm (RUN), and original GTO algorithms across various test functions. Furthermore, EGTO's efficacy extends to addressing seven challenging engineering design problems, encompassing three-bar truss design, compression spring design, pressure vessel design, cantilever beam design, welded beam design, speed reducer design, and gear train design. The results showcase EGTO's robust convergence rate, its adeptness in locating local/global optima, and its supremacy over alternative methodologies explored.

Skin transcriptome analysis in Brangus cattle under heat stress

Heat stress is a major factor that negatively affects animal welfare and production systems. Livestock should adapt to tropical and subtropical areas and to meet this, composite breeds have been developed. This work aimed to evaluate gene expression profiles in the skin of Brangus cattle under heat stress using a case-control design, and to correlate this with skin histological characteristics. Two groups of bulls were set using rectal temperature as a criterion to define stress conditions: stressed (N = 5) and non-stressed (N = 5) groups. Skin transcriptomics was performed and correlations between breed composition, phenotypic and skin histological traits were evaluated. Results showed 4309 differentially expressed genes (P < 0.01), 2113 downregulated and 2196 upregulated. Enrichment and ontology analyses revealed 132 GO terms and 67 pathways (P < 0.01), including thermogenesis, glycolysis, gluconeogenesis, mitochondrial activity, antioxidant and immune response, and apoptosis. The identity of the terms and pathways indicated the diversity of mechanisms directed to relieve the animals' suffering, acting from simple passive mechanisms (conduction, convection and radiation) to more complex active ones (behavioural changes, evaporation, vasodilation and wheezing). Furthermore, significant differences between phenotypic and skin histological traits and correlations between pairs of traits suggested a direction towards heat dissipation processes. In this sense, number of vessels was positively correlated with number of sweat glands (P < 0.001) and both were positively correlated with zebuine genetic content (P < 0.05 and P < 0.01, respectively), gland size was positively correlated with epidermal thickness and negatively with hair length (P < 0.05), and epidermal thickness was negatively correlated with gland-epidermis distance (P < 0.0005). These results support the notion that response to heat stress is physiologically complex, producing significant changes in the expression of genes involved in several biological pathways, while the animal's ability to face it depends greatly on their skin features.

Evaluation of Digital- English Project Based Learning (PJBL) Model through Eye Tracking Analysis in Higher Education

This study uses Eye Tracking technology to analyze students' visual interactions with English learning films. The goal is to actively engage pupils and develop practical skills, not just test conceptual understanding. Eye Tracking is a technique for monitoring students' eye movements and attentiveness while interacting with digital objects. This method seeks to improve learning effectiveness by recognizing patterns of visual interaction in critical areas of the movie. In the digital age, technology plays an important role in shifting the learning paradigm. Project Based Learning (PJBL) is an increasingly popular approach in which students learn through real-world projects. The purpose of this study is to assess students' grasp of English topics using a digital-based PJBL. This study used Eye Tracking analysis to monitor students' eye movements and attentiveness while interacting with digital materials. The data suggests that pupils focus on relevant portions, particularly complex ones like grammar. This emphasizes the significance of focusing on key aspects of learning. The analytic results are used to improve material, optimize content, and diversify instructional techniques. The findings of this study will help to improve digital-based English learning using PJBL, resulting in a more immersive and effective learning experience in higher education.

Comparative Analysis of Approaches to the Formation of an Institutional Framework for the Development of a Changing Resource Base for Hydrocarbon Production (on the Example of High-viscosity Oils in Alberta (Canada) and the Republic of Tatarstan (Russia))

The modern evolution of the dynamics of the structure of the hydrocarbon resource base in various regions is characterized, as a rule, by the gradual replacement of traditional sources with more complex ones. The latter are currently classified as hard-to-recover reserves (HTRR). The process of mastering and involvement in the development of HTRR is closely related to the transition to an innovative path of development, the creation of new technologies, the strengthening of the role of local knowledge, the accumulation of experience working with non-trivial sources of raw materials, and most importantly, with the efforts cooperation of various participants involved both in scientific and technological processes and in the development of subsurface areas. All of the above is impossible without the formation of an appropriate institutional framework with regional specifics. One example of an approach implemented in this area is the Canadian province - Alberta. There is also some experience in this field in Russia – in the Republic of Tatarstan. In a comparison with the initial conditions and approaches to the development of hard-to-recover hydrocarbon resources in these territories shows that there are both common and distinct features within the framework of the implemented approaches. Consideration of the latter is important from the point of view of choosing the directions for the formation a domestic working model in this area.

Landslide topology uncovers failure movements

The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. These models’ performances are limited as landslide databases used in developing them often miss crucial information, e.g., underlying movement types. This study introduces a method of discerning landslide movements, such as slides, flows, and falls, by analyzing landslides’ 3D shapes. By examining landslide topological properties, we discover distinct patterns in their morphology, indicating different movements including complex ones with multiple coupled movements. We achieve 80-94% accuracy by applying topological properties in identifying landslide movements across diverse geographical and climatic regions, including Italy, the US Pacific Northwest, Denmark, Turkey, and Wenchuan in China. Furthermore, we demonstrate a real-world application on undocumented datasets from Wenchuan. Our work introduces a paradigm for studying landslide shapes to understand their underlying movements through the lens of landslide topology, which could aid landslide predictive models and risk evaluations.

A comparative analysis of machine learning classifiers in the classification of resonant asteroids

This study explores how well various machine learning classifiers can identify mean-motion resonances in the main belt using supervised learning. The most popular classifiers are assessed: k-Nearest Neighbours, Decision Tree, Gradient Boosting, AdaBoost, Random Forest, and Naïve Bayes. In contrast to previous studies that often relied on default ML configurations, this research conducts a detailed investigation, fine-tuning, and testing of each classifier across various parameters. The results show that simpler models, especially k-Nearest Neighbours and Decision Tree, perform better than more complex ones, particularly in terms of F1 scores. The paper provides guides on selecting features, parameters, and training set sizes for optimal classifier performance and outlines a method for developing effective machine-learning models for asteroid classification.

Consistency in the assessment of postural balance using static stabilometry and scale techniques in older individuals: An observational study

BACKGROUND: In clinical practice, both clinical scales and instrumental methods are used in parallel to assess postural stability and the risk of falls. Literature data on the comparability of postural balance estimates obtained using scale techniques and stabilometry, particularly in older patients, are conflicting.&#x0D; AIM: to analyze the consistency in the assessment of postural balance by static stabilometry and scale techniques in older patients.&#x0D; MATERIALS AND METHODS: A pilot observational, nonrandomized, single-center study was conducted. The study participants were 39 women aged 60–75 years who did not have diseases or conditions that significantly affected the postural control system. Postural balance was assessed using clinical scales and tests (timed up and go test, classic and a double task; Berg balance scale; Mini-BESTest, balance evaluation systems test; performance-oriented mobility assessment; and falls efficacy scale) and basic spatial, spatiotemporal, and spectral parameters of static stabilometry. A stabilometric study was conducted at the posturological complex Biokinect. Correlation analysis of the data of the scale techniques and stabilometry was performed.&#x0D; RESULTS: The correlation analysis showed both the correlation between some parameters of stabilogram and scale techniques and the complete absence of a significant correlation between others. However, even in the presence of a statistically significant correlation, the relationship between the parameters did not exceed the moderate or average level (maximum value of the correlation coefficient, 0.685, p 0.01). The largest correlation was found between the stabilometric parameters and the timed up and go test (correlated with 11 out of 21 parameters) and the falls efficacy scale (10 parameters), and the smallest was found with the Mini-BESTest (5 parameters). The values of the stabilometric parameter (speed of movement of the center of pressure) demonstrated a statistically significant correlation with most of the clinical instruments (4 out of 6).&#x0D; CONCLUSION: This study showed low consistency between the basic parameters of static stabilometry and scale techniques in older people. The results of simpler scale techniques for the assessment of postural balance correlated better with stabilometry data than with more complex and multicomponent ones because the total indicator of the latter is a generalized assessment of postural stability and other elements of complex motor behavior associated with postural balance. Therefore, simple scale techniques and tasks should be preferred when assessing the basic postural stability and risk of falls in older people.

Numerical impact of variable volumes of Monte Carlo simulations of heterogeneous conductivity fields in groundwater flow models

The knowledge of aquifer systems, their geological setting, their structure, and subsequent modeling is highly uncertain and is usually faced through Monte Carlo-based methods in hydrogeology. One of the most important uncertainty sources for groundwater models is represented by input hydraulic conductivities, related to the aquifer’s structure. There are no specific rules when simulating hydraulic conductivity fields within Monte Carlo frameworks to instruct numerical models, and information about employed conductivity fields and their numerical convergence is often not given. This technical work aims to fill this gap by investigating the impact of employing conductivity information upon different volumes of Monte Carlo simulations applied to a real case study. Thus, this work estimates the minimum volumes of Monte Carlo hydraulic conductivity fields to be employed in groundwater flow models for achieving numerically stable (i) boundary conditions, (ii) global model performances, and (iii) local ones such as simulated hydraulic heads. The present results aim to be indicative of similar hydrogeological settings and will serve as a basis for more complex ones and for investigating transport problems.

Support of Cancer Patients at the Stage of Early Rehabilitation: Possibilities of Postural Correction and Art Therapy Techniques

Introduction. Early rehabilitation of cancer patients after surgery plays an important role in their recovery and return to normal functioning. One of the tasks of this stage of treatment is to restore physical activity of the body, in particular, through postural correction. The medical aspects of this process are well described in the literature, however, the psychological aspects of the postural correction process are not sufficiently covered. Even fewer studies are devoted to restoring the psychological state of cancer patients. Purpose. Analysis of the possibilities of postural correction of cancer patients and the possibility of using art therapy techniques to normalize the psychological state during early rehabilitation.Theoretical justification. One of the key elements of postural correction is the restoration of the ability to maintain balance. For this purpose, special devices are used – stabilometric platforms. Another important element is the restoration of voluntary movements. For a more effective recovery, it is worth teaching patients the psychological adjustment to exercise movements. When the patient plans a movement, he forms a mental construct “task to be completed”, which promotes more precise movements. Restoration of their stable psychological state of cancer patients is possible, in particular, through art therapy techniques. One of the techniques, coloring mandalas, involves both hemispheres of the patients’ brains, triggering cognitive processes through the activation of fine motor skills. This provides a natural therapeutic process: the brain works initially on simple tasks and gradually moves on to more complex ones. The details of the mandala drawing are thought out in such a way that in the process of working on it, the patient focuses on his inner state – thoughts and feelings.Discussion. The importance of an integrated approach to the rehabilitation of cancer patients is increasingly emphasized in scientific papers. During the early rehabilitation period, the patient is in the most vulnerable state, both physically and psychologically. The use of psychological techniques can ensure that the patient can restore a more holistic image of himself both physically and internally.