World Problems Research Articles

Digital Literacy in Education: An Analysis of Critical Thinking Culture for Preventing the Hoaxes

In the 21st century, a hoax is one of the biggest problems in the world, especially in Indonesia. The post-truth phenomenon and the ease of disseminating information on social media are the primary triggers for this case. Moreover, this disruption era is marked by a flood of information, rapid change, and high use of internet technology. This research intends to analyze the importance of digital literacy, especially critical thinking (CT) culture, in preventing hoax news. A literature review is employed in this research. This method explains how CT skills can be used in digital literacy. The results underscore several points: a) the urgency of digital literacy is based on a big problem in the digital world in Indonesia, namely hoaxes; b) digital literacy can be applied in tips such as those discussed by Facione (1998) regarding the six CT skills that require technical and theoretical skills; c) emphasize technical skills in assessing account identities or media that produce information by Nagler (2017); and d) there are several opportunities for implementing digital literacy. Hence, this research concludes the importance of instilling CT skills in fighting hoax news or misinformation. Apart from that, if we look at the data regarding the low level of digital literacy in Indonesian society, it is urgent to implement digital literacy methods and CT skills integrated with educational institutions or more formal policies.

Organizational Planning and Business Human Resource Management: A Systematic Qualitative Review

Sustainability in accomplishing organizational objectives is highly dependent on HRM and organizational planning. Organizations confront more complicated problems in today's corporate world because of globalization, sustainability demands, and fast technological progress. In today's business world, effective organizational planning and human resource management techniques are critical for companies to stay competitive and adaptable. This systematic qualitative evaluation aims to examine different methods and practices in human resource management and organizational planning by reviewing a large body of literature. The major goals of this review are to (1) identify current trends, (2) assess the advantages and disadvantages of these trends and solutions, and (3) assess the effect of these tactics on the performance of businesses across different industries. This review sheds light on the relationship between organizational sustainability, HRM practices, and strategic planning by synthesizing and analyzing pertinent papers using a rigorous and open methodology. The results of this review provide scholars and practitioners with actionable advice to improve the efficiency and longevity of organizations.

Temporary Protection Status Practices in the Context of Human Rights in Türkiye and European Union

Migration and refugees are among the most important and complex problems of today's world, deeply affecting the international community. Civil unrest and violence, especially in the Middle East, have led to the displacement of millions of people. Most of these displaced people have sought refuge in neighboring countries and Europe. However, this situation has led to many legal status debates and human rights violations. Türkiye stands out with the number of asylum seekers it has hosted and the policies it has pursued in this process. Syrians who have sought refuge in Türkiye since 2011 are under "Temporary Protection Status". However, while temporary protection status should be temporary in duration, when it evolves into a permanent temporary status, various uncertainties arise regarding the social cohesion of the protected persons and the standard of living befitting human dignity. Although temporary protection status was historically developed in European Union (EU) law, the Temporary Protection Directive adopted in 2001 was never activated until the Ukrainian crisis in 2022. In this context, the attitudes and practices of the EU towards asylum-seekers from different countries, such as Syrian and Ukrainian asylum-seekers, are also compared in terms of temporary protection status. Temporary protection status is recognized as an important mechanism in the human rights context and the international community needs to do more to protect the fundamental rights and freedoms of protected persons. The compliance of temporary protection policies with human rights standards and their effective implementation are considered as critical steps to protect the dignity of protected persons and guarantee their human rights. In this study, a review article was conducted from a legal perspective by analyzing the current situation of temporary protection status implemented in Türkiye and the EU through a literature review. The examination of temporary protection status only in the context of Türkiye and the EU constitutes the limitation of the study. This study aims to contribute to theoretical debates by evaluating temporary protection status in international law, its implementation in Türkiye, and EU asylum policies from a human rights perspective.

Problematic consumption of psychoactive in pregnancy: A systematic review of a threat to maternal-fetal life

Background: Although the consequences of the use of psychoactive substances of abuse are often linked to the media in a subtle way and clarified by the doctor in routine consultations, the use and abuse has been taking uncontrollable growth proportions to the point of generating a problem of the Today's world with immediate needs for interventions in order to minimize the damage caused. Due to this transformation of society's habits, many age groups have been significantly affected. The main and most worrying social group susceptible to drug abuse is the female society, since due to the great coincidence between the reproductive age and the period prone to the use of social attractions, occasionally in a gestation situation, the joint use in any dose generates and potentiates the consequences to fetal maternal life. The little-known social effects go through, when death does not occur, due to malformation of the fetus, nervous compromise, up to the manifestations after birth in the daily life of the child of a user mother. Taking this situation into account and facing this problem of the current world that threatens health, the study will demonstrate the most diverse maternal and fetal manifestations due to the use of substances or drugs of abuse, suggesting as a final objective the creation of information media. capable of keeping the potentially reproductive female society informed about the hidden curses to fetal life in gestation. Material and methods: Systematic review based on searches in the PubMed, Google Scholar, and TripDataBase databases. Scielo and others, with the identification of articles that present the proposed theme as the central theme with the identification of the determinant factors for the development of substance abuse and its different forms of affectation in the gestational period with some scores of the consequences in the puerperal period. Results: With the corresponding search strategies, 73 articles were found in the Pubmed database, 10 articles in the Google Scholar, TripDataBase and Scielo databases. Directing the selection according to criteria, 22 articles were chosen and used for analysis of the systematic review. Conclusion: The problematic use of substances potentially harmful to pregnancy continues to be a challenge for public health. With this, it is of fundamental importance to raise awareness through the creation of health promotion programs based on rational, comprehensive, and multidisciplinary consultations, which guarantee the reduction of consumption and maternal-fetal protection

A compact artificial bee colony metaheuristic for global optimization problems

AbstractComputationally efficient and time‐memory saving compact algorithms become a keystone for solving global optimization problems, particularly the real world problems; which involve devices with limited memory or restricted use of battery power. Compact optimization algorithms represent a probabilistic view of the population to simulate the population behaviour as they broadly explores the decision space at the beginning of the optimization process and keep focus on to search the most promising solution, therefore narrows the search space, moreover few number of parameters need be stored in the memory thus require less space and time to compute efficiently. Role of population‐based algorithms remain inevitable as compact algorithms make use of the efficient search ability of these population based algorithms for optimization but only through a probabilistic representation of the population space in order to optimize the real world problems. Artificial bee colony (ABC) algorithm has shown to be competitive over other population‐based algorithms for solving optimization problems, however its solution search equation contributes to its insufficiency due to poor exploitation phase coupled with low convergence rate. This paper, presents a compact Artificial bee colony (cABC) algorithm with an improved solution search equation, which will be able to search an optimal solution to improve its exploitation capabilities, moreover in order to increase the global convergence of the proposed algorithm, an improved approach for population sampling is introduced through a compact distribution which helps in maintaining a good balance between exploration and exploitation search abilities of the proposed compact algorithm with least memory requirements, thus became suitable for limited hardware access devices. The proposed algorithm is evaluated extensively on a standard set of benchmark functions proposed at IEEE CEC'13 for large‐scale global optimization (LSGO) problems. Numerical results prove that the proposed compact algorithm outperforms other standard optimization algorithms.

Evolution and statement of the rural studies in Latin America

The structure and evolutionary dynamic of the rural world of Latin America has always been a privileged topic in research and scientific reflection, not only at the level of the continent, but also at the international level. Scientific production has always reflected the problems of this vast rural world, but always under the influence of the social, political, and economic conditions of each historical moment. In this paper, we analyze the current scientific production on the rural world with a historical perspective, to understand the evolution of scientific thought and production. We appeal to a very simple bibliometric method based on the analysis of the most prestigious journals about the rural reality of the continent. The analysis allows us to observe a clear trend towards new topics, linked to the problems of the rural world, such as the new relationship between the countryside and the city, environmental problems, the emergence of new ways of producing, among others.

Addressing career-related social problems using experiential learning: a pilot study

PurposeWe examined skill building techniques and changes over the course of a semester with pre and post-test data collection after implementing experiential learning assignments.Design/methodology/approachThe Schutte Self-Report Emotional Intelligence Test (SEEIT) was used to measure emotional intelligence among students who interned for a 16-week period.FindingsWe found a significant difference using a paired samples t-test in SSEIT scores between the pre (M = 126.6, SD = 4.3) and the post-internship (M = 133.8, SD = 5.7) scores. t(5) = -5.61, p = 0.002. Students had an overall increase in mean scores over the course of one semester.Research limitations/implicationsThis was a pilot study that we completed to determine applicability of internship and increasing emotional intelligence. Overall, we saw an increase in EI in pre and post-test comparisons. This was a pilot study, so more research is needed on this topic.Practical implicationsStudents were placed in situations during the internship process to help facilitate real world problems and were required to apply applicable textbook knowledge, develop theory-based activities and report their findings. Students worked with various age groups and learned how to work with a variety of populations including faculty, teachers, children and parents on a regular basis and this process contributed to their experience and potentially increased emotional intelligence over a 16-week period.Social implicationsThis research addresses the importance of emotional intelligence (EI) in career readiness and its role in potentially mitigating burnout in psychological professions.Originality/valueThis is important to those in the field of psychology and child development and family studies because it addresses concerns with the shortage of skilled and prepared workers.

Markers Of Progression of Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is a pressing problem in the modern world. Every year, COPD increasingly leads to temporary disability and death. This is why it is so important to predict the progression of COPD in time. Progression of the disease can lead to severe shortness of breath, frequent exacerbations of COPD, respiratory failure and death. This literature review examines radiological and functional markers, clinical manifestations, sputum and blood markers, and the lung microbiome. All of this may be useful for predicting the risk of COPD progression.

Malaria during COVID-19 Travel Restrictions in Makkah, Saudi Arabia.

Malaria is a parasitic infection that may result in an acute, life-threatening illness. It is a major public health problem in the tropical world. The disease is caused by the parasites of the genus Plasmodium and is transmitted by female Anopheles mosquitoes. Saudi Arabia is in the elimination phase of malaria control. Several parts of Saudi Arabia report cases of imported malaria among travelers and visitors. The city of Makkah in Saudi Arabia has a population of about 2.3 million. Moreover, over 6 million religious visitors from different parts of the world visit Makkah annually. During the COVID-19 outbreak, travel restrictions were enforced in Makkah to contain the spread of COVID-19. We compare the total reported cases of malaria in Makkah before, during, and after COVID-19 travel restrictions in this retrospective cross-sectional study. Data on demographics, clinical data, and laboratory parameters were collected from the medical records of the Ministry of Health, Saudi Arabia. The annual malaria incidence rates in Makkah were 29.13/million people (2018), 37.82/million people (2019), 15.65/million people (2020), 12.61/million people (2021), and 48.69/million people (2022). Most of the malaria cases in Makkah were caused by Plasmodium falciparum, followed by P. vivax. Sudan, Nigeria, Yamen, Pakistan, and India are the top five countries contributing to malaria cases in Makkah. Weekly malaria case analyses revealed that COVID-19-related travel restrictions resulted in zero malaria cases in Makkah, indicating the magnitude of the travel-related malaria burden in the city.

Pathobiochemical mechanisms of development of idiopathic inflammatory polyneuropathy

The article discusses the pathobiochemical mechanisms of the development of idiopathic inflammatory polyneuropathy. The authors’ analysis of the literature data showed. that the infection is not the direct cause of the disease, but plays the role of a provoking agent that triggers autoim mune mechanisms. Triggering factors may also include blood transfusions, surgery, bone marrow transplantation, and traumatic injuries to peripheral nerves. understanding the etiology, clinical manifestations and diagnosis of peripheral nerve damage is an important problem in the modern world of medicine.

Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors

Solving long-horizon, temporally-extended tasks using Reinforcement Learning (RL) is challenging, compounded by the common practice of learning without prior knowledge (or tabula rasa learning). Humans can generate and execute plans with temporally-extended actions and quickly learn to perform new tasks because we almost never solve problems from scratch. We want autonomous agents to have this same ability. Recently, LLMs have been shown to encode a tremendous amount of knowledge about the world and to perform impressive in-context learning and reasoning. However, using LLMs to solve real world problems is hard because they are not grounded in the current task. In this paper we exploit the planning capabilities of LLMs while using RL to provide learning from the environment, resulting in a hierarchical agent that uses LLMs to solve long-horizon tasks. Instead of completely relying on LLMs, they guide a high-level policy, making learning significantly more sample efficient. This approach is evaluated in simulation environments such as MiniGrid, SkillHack, and Crafter, and on a real robot arm in block manipulation tasks. We show that agents trained using our approach outperform other baselines methods and, once trained, don't need access to LLMs during deployment.

КОНСЕРВАТИВНЫЕ МЕТОДЫ ЛЕЧЕНИЯ ГРЫЖ МЕЖПОЗВОНКОВЫХ ДИСКОВ

In the modern world, herniated intervertebral discs are one of the most common pathologies, often occurring among the working-age population. Protrusion of the intervertebral disc beyond the cross-section of the vertebra can lead to severe pain (even disability) due to mechanical compression of the nerve root and, with extrusion of the nucleus pulposus, inflammatory reactions. Thus, to date, pain syndrome that has developed as a result of a hernia occurs in 9% of the world's population. Thus, the treatment of intervertebral hernias is one of the pressing problems of the modern world. Radical treatment - surgical, is associated with a number of complications and does not always lead to the desired results. For this reason, surgical treatment should be carried out only if conservative methods are ineffective, among which physiotherapy occupies a special place. The purpose of this work is a literary analysis of physiotherapy methods currently used for the treatment of herniated intervertebral discs and to determine their place in the complex therapy of this pathology. The review examines the nature of intervertebral hernias, some of the physiological reactions they cause, in particular, the mechanisms of pain syndrome formation are indicated. We also described in detail the main methods of physiotherapy currently used for herniated intervertebral discs, such as electrophoresis, balneological procedures, spinal traction; the mechanisms of their influence on the damaged intervertebral disc are indicated, allowing to eliminate or reduce the intensity of the pain syndrome; The need for an integrated approach in the treatment of the pathology under study was determined.

A learning numerical spiking neural P system for classification problems

In recent years, classification problems have been widely studied as one of the critical research directions in artificial intelligence. Efficiently simulating the human brain’s ability to solve deterministic classification problems has become a prominent research branch in the field of classification problems. Numerical spiking neural P systems (NSN P systems) with the characteristics of the highly flexible spiking neural P (SNP)systems architecture and addressing numerical variants have special advantages for solving classification problems in the real world. This paper proposes, a novel NSN P system, namely, a learning numerical spiking neural P system (LNSN P system), is proposed to solve classification problems. In LNSN P systems, each neuron contains not only discrete spikes and rules that must be described by regular expressions but also numerical variables and production functions that can be in any form, overcoming the discontinuity of traditional SN P systems. In addition, an ascending structure without an outer encoder has been designed in this study to encode information from low-dimensional indivisible space to high-dimensional divisible space. At the same time, an adaptive learning mechanism has been introduced to improve algorithm convergence and precision. Finally, the experimental results obtained using eight benchmark datasets from the machine learning repository demonstrate the feasibility and effectiveness of the proposed LNSN P system. Moreover, the proposed LNSN P system exhibits lower space complexity and better generalisation ability than the existing SN P systems with the learning ability to solve different classification problems.

Multi-strategy enhanced Grey Wolf Optimizer for global optimization and real world problems

Multi-strategy enhanced Grey Wolf Optimizer for global optimization and real world problems

Выборы в Европейский парламент: между христианскими демократами и ультраправыми

The article is dedicated to perspective of the Christian democracy in connection with the upcoming elections to the European parliament and the problems of the modern world are analyzed, which were the reasons for coming to power ultra-right-wing parties in Europe.

Effect of volume ratios on the novel Solanum lycopersicum leaf extract-mediated production of ZnO and Co3O4 nanoparticles for potential antifungal applications

ABSTRACT Antimicrobial infectious disease has become a major problem in the world. It has been found as its continual distribution is at extremely frightening rate. The most curable technique is the design and synthesis of effective nano-based drugs as green alternative. In this study, ZnO and Co3O4 nanoparticles (NPs) were produced from their precursor salts in the volume ratios of 1:3, 1:1, and 3:1 with Solanum lycopersicum leaf as a capping and reducing agent. Characterizations were performed using TGA/DTA, XRD, SEM, TEM, HRTEM, SAED, UV-Vis, and FTIR techniques. After 450°C and 500°C, ZnO and Co3O4 NPs were found to be thermally stable, respectively. For the ZnO and Co3O4 NPs in 1:3, 1:1, and 3:1 volume ratios, respectively, their average crystalline sizes were 51, 20, 29 and 26, 21 and 28 nm. The degree of crystallinity is confirmed by SEM in conjunction with TEM-HRTEM, and SAED. Among the numerous volume ratios, Co3O4 (1:3) and Co3O4 (1:1) showed 100% promised activity against Alternaria solani pathogen. Antimicrobial infectious disease has become a major serious problem in the modern world. It has been found as its continual distribution is at an extremely frightening rate. The most curable technique for this worldwide issue is the design and synthesis of effective nano-based drugs as green alternative solutions. In this study, ZnO and Co3O4 nanoparticles (NPs) were produced from their respective precursor salts in the volume ratios of 1:3, 1:1, and 3:1 with Solanum lycopersicum leaf as a capping and reducing agent. Characterizations were performed using TGA/DTA, XRD, SEM, TEM, HRTEM, SAED, UV-Vis, and FTIR techniques. After 450°C and 500°C, greenly synthesized ZnO and Co3O4 NPs were found to be thermally stable, respectively. For the ZnO and Co3O4 synthesized in 1:3, 1:1, and 3:1 volume ratios, respectively, their average crystalline sizes were 51, 20, 29 and 26, 21 and 28 nm. The degree of crystallinity is confirmed by SEM examination in conjunction with TEM-HRTEM, and SAED. Among the numerous volume ratios, Co3O4 (1:3) and Co3O4 (1:1) showed 100% promised activity against Alternaria solani pathogen.

Plant Materials for the Production of Functional Foods for Weight Management and Obesity Prevention

Abstract: Obesity is a serious problem in the modern world and is considered a risk factor in the development of many human diseases. : Consumption of low-calorie, low-fat diets, together with increased physical activity and a healthy lifestyle, contribute a lot to the fight against obesity. Meanwhile, functional foods with a reduced calorie content and enriched with substances useful for the human body may play a role as additional helpers in weight management. In this review, general suggestions for the elaboration of foods with plant-origin functional ingredients for weight management, which help the human body with obesity prevention, based on human clinical trials, are proposed. : Including new ingredients of plant-origin for the preparation of traditional foods helps to have a balanced diet and may contribute to weight management and obesity prevention.

Visualization of Solar Radiation Using Three-Dimensional Computer Graphics Technologies

Currently, the prediction, calculation and rationing of solar radiation is a serious problem that has a wide impact on the spheres of human activity. Creating and maintaining a comfortable living environment, as well as solving the world's energy problems, are the fundamental criteria that determine its relevance. This article discusses the possibility of using three-dimensional graphics technologies to calculate insolation. The paper considers an algorithm for calculating the four main components of the visualization of global solar radiation: direct beam radiation, diffuse radiation, reflected beam radiation and reflected diffuse radiation. The freely distributed open source software Blender 3D is used as a tool for working with computer graphics. In the course of the study, calculations based on the principle of bidirectional path tracing, which is used in the visualization algorithms of the Cycles graphics engine, are presented. The use of the technology of transferring complex data to the raster image format allows you to create a separate texture map for each component of the simulated lighting. Based on the obtained texture maps, it is possible to calculate the global solar radiation for all created or imported 3D models in the three-dimensional space of Blender 3D.

Development of improved estimators of finite population mean in simple random sampling with dual auxiliaries and its application to real world problems

In general, the incorporation of supplementary information reduces the Mean Square Error (MSE) and, consequently, enhances the precision of estimating a population parameter. This improvement relies on the appropriate application of a suitable function, with careful consideration. This study introduces two innovative families of estimators for the finite population mean, both of which exhibit superior performance in scenarios involving dual auxiliary information in simple random sampling. Expressions up to the first-order approximation, for bias, and Mean Square Error were derived, and the conditions under which these proposed families surpassed the existing estimators. Our evaluation involved the use of both real and simulated data to compute the Mean Square Error and Percent Relative Efficiency (PRE) of the estimators. A comparative analysis revealed that under the specified conditions, both proposed families yielded more precise results.

MIDDLE EAST POLICY OF THE EUROPEAN UNION: IN SEARCH OF THE EFFECTIVE STRATEG

The article examines the main directions of the Middle East policy of the European Union, which has intensified in recent years on the basis of the concept of «strategic autonomy». This concept itself is generated by the disappointment of European elites in the approaches of the United States both to the security problems of the Old World and to a number of crisis situations in the Middle East. The differences between Washington and Brussels were especially clear during the presidency of Republican Donald Trump (2016–2020), but they did not disappear under the administration of Democrat Joe Biden, which did not live up to the hopes of a number of European politicians for «restoring American leadership in the world». The need for Europeans to increasingly rely on their own strengths and resources is determined today not only by the situation around Ukraine, but also by Israel’s military actions against Hamas extremists in the Gaza Strip, direct clashes between Israel and Iran, and the intensification of pro-Iranian groups in a number of countries in the Middle East. The author believes that the EU’s attempts to develop an adequate strategy to neutralize threats from the Middle East region, as well as to promote its interests there, have not brought results. Questions remain regarding the achievability of this goal in principle.