Compliance Problems Research Articles

AI Predictive Analytics for Verifying Pharmaceutical Authenticity and Combating Drug Counterfeiting

A significant worry in recent years has been the counterfeiting of medicines. The distribution and manufacture of fake or falsified drugs are both criminal and harmful to the public's health. The severity of this issue differs significantly from one country to another, primarily due to variations in the adherence to national regulations and processes. Thus, preventing the sale of fake drugs has become an urgent matter, particularly in poor and developing nations. The study presents a new multi-layered validation structure for pharmaceutical authenticity verification that uses Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs) and blockchain technology for artificial intelligence predictive analytics. The goal is to tackle the widespread problem of counterfeit drugs. Using GANs to sift through past data, the suggested strategy improves the detection of minor package variations by identifying trends and traits linked to counterfeit drugs. Using the GAN-generated enhanced dataset, a CNN is trained to accurately and specifically categorize drug packaging.Further, the framework uses blockchain technology to provide trustworthy and transparent recordkeeping of drugs in realtime as they move through the supply chain. Increased patient safety directly results from our system's thorough audit trail, which solves the problems of fake medications and regulatory compliance. The suggested approach reduces counterfeit dangers and provides a scalable paradigm for other industries to use when dealing with similar authenticity verification issues, which means it can find more uses in safety-critical fields. The success of the multi-layered validation structure model is evaluated using performance metrics such as accuracy, recall, and F1-score. It achieves a fantastic accuracy rate of over 95%.

Legal Problems of Compliance with Bank Secret when Performing Transactions Using Payment Cards

Payment (bank) cards are among the most actively spreading phenomena in the modern world order. However, the problems of preserving information that constitutes banking secrecy in the context of digitalization and the active spread of online payments are of particular importance. Banks are also interested in preventing the disclosure of information constituting a banking secret. However, due to the uncertainty of the current legislation, which establishes the range of information related to bank secrecy, a number of problems arise that need to be analyzed. In the presented article, the author attempts to determine whether the payment card details relate to information constituting a bank secret. Examples from judicial practice in cases arising from disputes between banks and their individual clients regarding the legality of transactions performed by the bank using payment cards are given. It is concluded that the details of the payment cards themselves do not relate to the information constituting a bank secret. They can be considered as a structural element of a banking transaction performed using a payment card.

Problematika Kepatuhan Pejabat Tata Usaha Negara dalam Eksekusi Putusan Pengadilan Tata Usaha Negara

The regulation of the execution of State Administrative Court (TUN) decisions in Law Number 51 of 2009 concerning the Second Amendment to Law Number 5 of 1986 on State Administrative Court does not include a mechanism for executing TUN decisions, which in practice has caused many problems that undermine legal certainty and justice for the public. The focus of the writing is to provide an understanding to the public about the urgency of implementing execution in administrative court decisions. The main issues include two aspects: the obstacles faced by administrative officials in executing administrative court decisions, and solutions to address the compliance problems of administrative officials in executing administrative court decisions. The research method used is a normative research method. The research findings indicate that the obstacles in the implementation of TUN Decisions are due to the non-compliance of TUN officials and the lack of enforcement power for TUN decisions. The solution to address the compliance issues of TUN officials in executing TUN Decisions is to file a maladministration complaint with the Indonesian Ombudsman to exert pressure and revise the PTUN law to provide enforcement measures against the relevant TUN officials.

Учебник РКИ делового (профессионального) общения: принципы моделирования

In the conditions of the new government demand for training foreign specialists of various profiles in Russian higher education, the task of optimising the existing educational paradigm in the field of teaching Russian as a foreign language for special purposes is actualised, the most important link of which is the methodological goal set for the formation of the learners' (foreign or Russian universities’ students) ability to overcome the ideological threshold in professional interethnic (intercultural) communication. The analysis of research and methodological literature gives grounds to assert that Russian linguodidactics is ready to ensure the convergence of the pedagogical process, in which formal language teaching, professional training and education in line with the Russian culture and value paradigm can be presented syncretically within the framework of problem-based and / or interactive approaches in one (unified) teaching tool — a textbook / workbook / training manual / training course / educational-methodical complex. As one of the possible strategies for a comprehensive solution to the problem of compliance of educational resources with the latest social challenges, the potential of a new method of creating teaching tools — the method of casual illustrated narrative (CIN), which provides synergetic presentation of the language and culture of business (professional) communication in the framework of the scenario form and thus determines the possibility of building a model of the space-time continuum of professional communication, is substantiated. As a proof of the success and practical significance of the proposed strategy — the SIN method — we present the online course "Russian for Life and Work" developed in 2024 for migrant workers from CIS countries (SPbU, Uzbek national version), the results of the approbation of which led the Russian government to instruct a number of Russian universities to create additional national versions.

On neural networks for generating better local optima in topology optimization

AbstractNeural networks have recently been employed as material discretizations within adjoint optimization frameworks for inverse problems and topology optimization. While advantageous regularization effects and better optima have been found for some inverse problems, the benefit for topology optimization has been limited—where the focus of investigations has been the compliance problem. We demonstrate how neural network material discretizations can, under certain conditions, find better local optima in more challenging optimization problems, where we here specifically consider acoustic topology optimization. The chances of identifying a better optimum can significantly be improved by running multiple partial optimizations with different neural network initializations. Furthermore, we show that the neural network material discretization’s advantage comes from the interplay with the Adam optimizer and emphasize its current limitations when competing with constrained and higher-order optimization techniques. At the moment, this discretization has only been shown to be beneficial for unconstrained first-order optimization.

Inclusive Exploration of Harmonizing and Alternative Treatments for Hypothyroidism

: A clinical syndrome known as hypothyroidism occurs due to a shortage of thyroid hormone as a result of decreased production, abnormal distribution, or no action of thyroid hormones. The most typical clinical symptoms included are dry skin, hair loss, weight gain, painful-prolonged periods, infertility, balance problems, slow speech, bradycardia, hypothermia, fatigue, anxiety & depression, joint pain, and indigestion. Basically, age, gender, the severity of the ailment, and a few other factors affect the various signs and symptoms of hypothyroidism. The limitations of allopathic modalities necessitate the investigation of alternative treatment options. Future healthcare initiatives for the poor world will increasingly depend on CAM approaches to these concerns because lifestyle, diet, obesity, lack of exercise, and stress are significant contributing factors to the development of hypothyroidism. This review's objective is to provide information on herbs as well as complementary and alternative medications which are grouped into five major domains: Biologically Based therapies, Manipulative body-based therapies, Mind body-based therapies, and the whole Medical system. These have traditionally been used to treat thyroid dysfunction. The distribution of diseases in emerging nations is altering as a result of globalization. Hence the existing and potential roles of CAM techniques in the general practice of medicine are illustrated in these approaches. Scientists are being compelled to consider traditional herbal medical treatments and CAM therapy in order to combat adverse medication occurrences, high treatment costs, and compliance problems thus described in this review paper.

Effect of Low Glycemic Index Diet on Type 2 Diabetes

The rising incidence of type 2 diabetes (T2D) is seriously affecting the quality of life of individuals worldwide. Patients with T2D need to take medication to control blood sugar level for a lifetime, but the problem of poor medication compliance has always troubled clinical workers, and the role of diet improvement as a treatment of diabetes “five carriages” is particularly important. In recent years, the importance of food glycemic index (GI) has been extensively studied, and an increasing number of studies advise using low-GI foods as the main source of carbohydrates rather than high-GI foods. In addition to improving a person’s quality of life on a daily basis, a low-GI diet can help prevent and treat type 2 diabetes and lower the risk of its consequences, through controlling the amount of blood sugar and blood lipids. However, there are still some limitations about low GI diet, for example the complex calculating process results in a small number of clinical uses. Through a review of the literature, analysis of experimental data, and expansion of the research on the benefits of a low-GI diet in reducing T2D problems, this report validates the use of a low-GI diet.

Approach for multi-valued integer programming in multi-material topology optimization: Random discrete steepest descent (RDSD) algorithm

The present study models the multi-material topology optimization problems as the multi-valued integer programming (MVIP) or named as combinatorial optimization. By extending classical convex analysis and convex programming to discrete point-set functions, the discrete convex analysis and discrete steepest descent (DSD) algorithm are introduced. To overcome combinatorial complexity of the DSD algorithm, we employ the sequential approximate integer programming (SAIP) to explicitly and linearly approximate the implicit objective and constraint functions. Considering the multiple potential changed directions for multi-valued design variables, the random discrete steepest descent (RDSD) algorithm is proposed, where a random strategy is implemented to select a definitive direction of change. To analytically calculate multi-material discrete variable sensitivities, topological derivatives with material contrast is applied. In all, the MVIP is finally transferred as the linear 0–1 programming that can be efficiently solved by the canonical relaxation algorithm (CRA). Explicit nonlinear examples demonstrate that the RDSD algorithm owns nearly three orders of magnitude improvement compared with the commercial software (GUROBI). The proposed approach, without using any continuous variable relaxation and interpolation penalization schemes, successfully solves the minimum compliance problem, strength-related problem, and frequency-related optimization problems. Given the algorithm efficiency, mathematical generality and merits over other algorithms, the proposed RDSD algorithm is meaningful for other structural and topology optimization problems involving multi-valued discrete design variables.

New calcimimetics for secondary hyperparathyroidism in CKD G5D: do they offer advantages?

Secondary hyperparathyroidism is one of the most frequent metabolic abnormalities found in patients with chronic kidney disease. The calcium-sensing receptor senses extracellular calcium and is the principal regulator of parathyroid hormone secretion. Cloning of the calcium-sensing receptor led to the development of calcimimetics, drugs that decrease parathyroid hormone secretion through the positive allosteric modulation of this receptor. Cinacalcet was the first oral calcimimetic approved by the US Food and Drug Administration (FDA) in 2004 for the treatment of secondary hyperparathyroidism in adult patients on dialysis. Although cinacalcet has demonstrated safety and effectiveness, it has two main problems: gastrointestinal side effects that result in poor adherence, and the inhibitory action on CYP2D6 with the possibility of interactions with commonly used medications. To address the problem of oral compliance, Etelcalcetide, a small synthetic polycationic peptide IV calcimimetic was introduced in 2017. This drug showed a 10% greater decrease in serum parathyroid hormone values compared to cinacalcet but no better gastrointestinal tolerance, with greater risk of hypocalcemia. Several structural modifications were introduced in cinacalcet to produce a new compound called evocalcet. This drug, which was introduced in Japan in 2018, has considerably enhanced bioavailability and decreased both the inhibitory effect on CYP2D6 and half of the gastrointestinal side effects of cinacalcet. Finally, a novel non-peptidic injectable calcimimetic agent, upacicalcet, became available in Japan in 2021. This agent has greater clearance by hemodialysis and shows no effect on gastric emptying. More studies are needed comparing the old calcimimetics to the new ones to establish their future role in the treatment of secondary hyperparathyroidism in chronic kidney disease (CKD) G5D.

A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions

Computerized compliance of Personal Protective Equipment (PPE) is an emerging topic in academic literature that aims to enhance workplace safety through the automation of compliance and prevention of PPE misuse (which currently relies on manual employee supervision and reporting). Although trends in the scientific literature indicate a high potential for solving the compliance problem by employing computer vision (CV) techniques, the practice has revealed a series of barriers that limit their wider applications. This article aims to contribute to the advancement of CV-based PPE compliance by providing a comparative review of high-level approaches, algorithms, datasets, and technologies used in the literature. The systematic review highlights industry-specific challenges, environmental variations, and computational costs related to the real-time management of PPE compliance. The issues of employee identification and identity management are also discussed, along with ethical and cybersecurity concerns. Through the concept of CV-based PPE Compliance 4.0, which encapsulates PPE, human, and company spatio-temporal variabilities, this study provides guidelines for future research directions for addressing the identified barriers. The further advancements and adoption of CV-based solutions for PPE compliance will require simultaneously addressing human identification, pose estimation, object recognition and tracking, necessitating the development of corresponding public datasets.

Quantum annealing for nearest neighbour compliance problem

Quantum Computing has emerged as a promising alternative, utilising quantum mechanics for faster computations. This paper explores the nearest neighbour compliance (NNC) Problem in Gate-based Quantum Computers, where quantum gates are constrained to operate on physically adjacent qubits. The NNC problem aims to optimise the insertion of SWAP-gates to ensure compliance with these constraints while minimising their count. This work introduces Quantum Annealing to tackle the NNC problem, proposing two Quadratic Unconstrained Optimisation Problem formulations. The formulations are tested on a contemporary Quantum Annealer, and their performance is compared with previous methods. It shows that the prospect of using Quantum Annealing is promising, however, the current state of the hardware makes that finding the embedding is the limiting factor.

An enhanced proportional topology optimization method with new density filtering weight function for the minimum compliance problem

This article proposes an enhanced proportional topology optimization (EPTO) method to solve the structural topology optimization problem of minimizing compliance under material volume constraints. In the proposed method, a new filtering weight function based on the improved Heaviside threshold function is adopted to filter element density during the optimization process. The optimization process of the EPTO method consists of an inner loop and an outer loop. In the inner loop, density distribution is modified in combination with a new filtering weight function. By locally averaging the weighted element compliance, an improved density distribution function in the inner loop is put forward to make the topology configuration of the optimized structure more reasonable. In addition, the projection method is used to reduce the number of intermediate density elements, thereby obtaining optimization results with clear boundaries. In the outer loop, a new termination criterion is adopted, which terminates the optimization process by determining that the relative error of the objective function in several consecutive iterations is less than the specified value. The effectiveness and efficiency of the proposed method are demonstrated through several numerical examples involving two-dimensional (2D) and three-dimensional (3D) topology optimization problems. The results of numerical examples show that the proposed method can not only accelerate the convergence of optimization iterations, but also obtain optimized structures with smaller objective function values and better topology configurations. HIGHLIGHTS A new density filtering weight function is proposed based on an improved Heaviside threshold function. An improved inner loop density distribution formula is proposed by combining a new filtering weight function. Using projection based methods to suppress the appearance of intermediate density elements. Verify the effectiveness of the proposed algorithm by comparing the optimization results with existing algorithms such as top88 and PTO.

Enhancing topology optimization with colored body-fitted mesh using adaptive filter, dual re-meshing strategy, and OOP programming paradigm

This study introduces a novel topology optimization approach by employing power law-based material interpolation and adaptive filtering in the framework of the unstructured grids. As an extension of the established Solid Isotropic Material with Penalization (SIMP) method that utilizes the fixed structured mesh, the proposed Colored Body-Fitted Optimization (CBFO) method adopts the body-fitted grids to enhance efficiency, accuracy, and adaptability for diverse engineering applications. Notably, incorporating body-fitted meshes with intermediate density profiles enables improved flexibility in the numerical simulations and eliminates the need for re-meshing in each iteration. The dual re-meshing strategy drastically reduces computational costs, with only two re-meshing procedures required throughout the optimization process. This approach facilitates the generation of dense mesh regions around critical boundaries to augment solution accuracy while enabling sparse mesh configurations in the low-sensitivity regions, thereby boosting computational efficiency without compromising performance. The effectiveness, robustness, and efficiency of the CBFO method are validated through testing on multiple standard minimum compliance and compliant mechanism problems. The proposed optimization method can converge in dozens of iterations, obtain better objective function values, and save computational costs by up to 69 % compared to the previous method using the body-fitted mesh. Additionally, a concise MATLAB script implementing the proposed method using an Object-Oriented Programming (OOP) paradigm is provided in the appendix and the supplementary material, complete with annotations.

Optimization of Methods for Rent Assessment of Land Parcels with the Permitted Use for Improvement

The paper deals with the comprehensive study of calculation methods and the author’s methodology for adjusting the amount of rental payments for land parcels in state ownership with the permitted use for improvement using the case of Irkutsk city. The paper is focused on the urgent problem of compliance with established principles for determination of rent for land parcels, especially the principles of predictability of calculations, prevention of deterioration in the economic condition of land users and support of socially significant activities. A study of domestic and foreign practice has revealed two main problems in calculation of land rent: the adequacy of the cadastral value of land, mainly due to taking into account the maximum number of relevant factors, and the correctness of adjustment factors to this value when determining the rental rate. Using Irkutsk city as an example, the following shortcomings were found in the existing approaches: inaccuracy of the calculations and fixed coefficients and percentages applied to the calculation of rent within the municipality, regardless of the forms of permitted use. Special attention is paid to areas intended for improvement. These areas cannot be classified as investment assets that bring economic benefits. It is proposed to individualize the determination of adjustment factors to the cadastral value, taking into account the cadastral quarter and the type of permitted use. The developed changes comply with the principles for determination of rent enshrined in the legislation of the Russian Federation. The proposed methodological improvements were tested by comparison of actual and estimated rent receipts to the budget of Irkutsk city in 2023. The application of the proposed methodology will prevent the termination of land lease agreements due to unreasonably inflated rent costs, ensuring a balance of public and private interests.

Legislative Ratio of Strengthening State Cyber and Cryptography Agencies in Law Enforcement: A Perspective of Legal System Theory

This research aims to address cyber threats and crimes in Indonesia. Currently, the responsibility for the implementation of cyber security tasks and functions is handled by the State Cyber and Cryptography Agency (BSSN). This situation makes it very difficult for BSSN to operate if its duties, functions, and authorities in cybercrime law enforcement are only regulated through a Presidential Regulation. This study uses a normative juridical method with a legislative approach that examines norms related to the authority of investigative institutions in law enforcement against cyber crimes. These findings highlight that there were 24.6 million cyberattacks recorded from January 1 to September 7, 2022, which caused losses to the community. The existence of BSSN was formed by the President through Presidential Regulation Number 28 of 2021 concerning the State Cyber and Cryptography Agency in carrying out its duties and authority to overcome cybercrime in the face of obstacles. This requires a comprehensive legal due diligence strategy that can be adjusted to legal compliance and potential legal problems of cybercrime. The results of the study show that to ensure security, justice, and legal certainty in the enforcement of cybercrime law can be carried out properly, it is necessary to have special laws and regulations that regulate cybercrime, with the existence of institutions that will implement laws and regulations in special law enforcement to deal with cybercrime, by containing legal compliance based on the applicable national legal system.

Anticipation, agency and aging-conditions for making movement irresistible.

This article describes an approach to developing and maintaining interpersonal agency through guided movement and responsive technologies. Making Movement Irresistible (MMI), considered conditions for developing a digital, online and wearable intervention that could make the act of movement irresistible for older residents in care, and encourage improvisational and social interactions. Working within a co-design framework, we combined making material objects and moving together as a method of examining the efficacy of human to human, and human to technology relationships to cultivate agency. Given that movement as performance is frequently not practiced or uncomfortable, we invited a variety of experts as our co-designers to notice the nuances of movement that interested them and to document these using drawing, writing and visuals. This documentation was gathered regularly in journals as the workshops progressed, leading to a coherent capture of data as it emerged. This data allowed us to attribute value to how simple actions could become a conduit for more ambitious, exploratory interactions. Our playful methods afforded the participation of co-designers, enabling us to situate our proposed intervention within a relational and social, rather than medical model, of ageing. Making movement do-able and relational, so that it can be shared and extended with a partner or carer, informed the idea to design a wearable device that could detect movement variability, resulting in a prototype, named emitts®. The device makes use of the hand as way in to accessing whole body interaction. Our work with responsiveness of visual feedback avoided deterministic targets, as with no two movements being identical, the reported problem of compliance with repetitive tasks could be reduced. The technology foregrounded movement that was capricious and improvisational, offering new modes of artistic practice and engagement through play and performance. The case we describe highlights the importance of understanding the conditions that augment social interaction, rather than specifying design criteria for determining interaction. The longer-term health benefits of our intervention have yet to be measured, however, our collaboration has revealed how interpersonal agency emerges when we socially, aesthetically, and physiologically stimulate movement, making it irresistible where there may otherwise be resistance.

Fighting Fatty Liver Disease: Pathogenesis and Therapeutic Approaches

FLD is a burgeoning international ailment closely associated with the increasing rates of obesity, type II diabetes mellitus and physical inactivity. This review focuses on the various aspects of FLD pathophysiology including genetic susceptibility, metabolic disturbances, inflammation, oxidative stress, and environmental factors. Diagnostic tests can be simple and non-invasive such as imaging and biomarkers and can be relatively invasive, such as liver biopsies. Currently the treatment focus is made on drug and surgical interventions with lifestyle changes, and besides, gene and stem cell therapies remain an experimental method with fewer evidences. The article points to the problems of patient compliance, adequate diagnostics, and effectiveness of the treatment, the necessity of working on the concept of individualized medicine, new therapeutic strategies, and prevention. A statically and working knowledge and a combination and complex strategy are required to approach and decrease the burden of FLD worldwide.

Спортивный суверенитет Российской Федерации: международно-правовой и внутригосударственный аспекты

The article is devoted to the analysis of modern problems of implementing the principle of sovereignty in both international and domestic law using the example of sport as a socio-cultural phenomenon. The author explores the modern features of the interaction of national sports with international sports law. Particular attention is paid to the problem of compliance with the principles of international law and international sports law in crisis conditions.

KNOWLEDGE AND ATTITUDE WITH ADHERENCE TO FE TABLET CONSUMPTION IN ANEMIC ADOLESCENT GIRLS

Background: Iron anemia could be prevented through the administration of Fe tablets (TTD). Several studies had shown that one of the obstacles often encountered in the Fe tablet administration program was the problem of compliance. The low compliance of Fe tablets consumption in adolescent girls was influenced by several factors, one of which was the knowledge of female students regarding the benefits of consuming Fe tablets. Knowledge affected the attitudes and behavior of adolescents in choosing food, consuming Fe tablets supplementation, and further affected the overall nutritional condition of individuals including the condition of anemia status. Objective: This study aimed to demonstrate the connection between attitudes and knowledge about adherence to Fe tablets use in anemic adolescents at Pondok Pesantren Mambaus Sholihin, Gresik District, East Java. Methods: This type of research was quantitative research with a cross-sectional design, sampling using the total sampling method. Method in this research was an analytical observational study with a cohort retrospective design. The samples in this study were 81 adolescent girls aged 15-17 years who experienced anemia. The variables used in this study were knowledge, attitude and compliance. The instruments used were questionnaires and checklist forms. Compliance with Fe tablet consumption was carried out for the last 3 months. Results: Most respondents had sufficient knowledge related to anemia and Fe tablets around (31.1%) and most responders had a positive attitude of (56.8%) most respondents were not compliant with the consumption of Fe tablets by (58.0%). After the chi square test, the significance value (p=0.002) was obtained, which means that statistically there is a significant relationship between knowledge and Fe tablet consumption, and (p=0.000) there is a significant relationship between attitude and Fe tablet consumption. Conclusion: The study concluded that among teenage girls attending the Mambaus Sholihin Islamic Boarding School, there was a relationship between knowledge and attitude regarding the intake of Fe tablets.

The Role of Speckle Tracking Echocardiography in the Evaluation of Advanced-Heart-Failure Patients.

Health care is currently showing a fall in heart failure (HF) incidence and prevalence, particularly in developed countries, but with only a subset receiving appropriate therapy to protect the heart against maladaptive processes such as fibrosis and hypertrophy. Appropriate markers of advanced HF remain unidentified, which would help in choosing the most suitable therapy and avoid major compliance problems. Speckle tracking echocardiography (STE) is a good choice, being a non-invasive imaging technique which is able to assess cardiac deformation in a variety of conditions. Several multicenter studies and meta-analyses have demonstrated the clinical application and accuracy of STE in early and late stages of HF, as well as its association with both left ventricular (LV) filling pressures and myocardial oxygen consumption. Furthermore, STE assists in assessing right ventricular free-wall longitudinal strain (RVFWLS), which is a solid predictor of right ventricle failure (RVF) following LV assist device (LVAD) implantation. However, STE is known for its limitations; despite these, it has been shown to explain symptoms and signs and also to be an accurate prognosticator. The aim of this review is to examine the advantages of STE in the early evaluation of myocardial dysfunction and its correlation with right heart catheterization (RHC) parameters, which should have significant clinical relevance in the management of HF patients.