bluuebunny/crossref_metadata_2025 huggingface dataset:
Multilevel Trade Policy in the Joint‐Decision Trap? The Case of CETA
Authors: Broschek Jörg
Published: July 2023

Wallonia’s refusal to ratify CETA in October 2016 suggests that multilevel trade politics may increasingly be subject to the pitfalls of joint decision-making, or even a joint-decision trap. This article, however, presents a more nuanced perspective that builds on a comparative analysis of intergovernmental configurations that underpinned constituent units’ participation in CETA in the four formal federations Canada, Belgium, Germany, and Austria. It shows, firstly, that joint decision-making is only one mode of intergovernmental trade policy coordination that needs to be distinguished from others. Second, joint decision-making rarely leads to a joint decision trap as actors seek to bypass the institutional constraints entailed in this mode of intergovernmental coordination. The study has implications beyond the field of trade policy as it contributes to the comparative analysis of intergovernmental relations in Canada and Europe.
Funding the War in Ukraine: The European Peace Facility, the Macro‐Financial Assistance Instrument, and the Slow Rise of an EU Fiscal Capacity
Authors: Fabbrini Federico
Published: July 2023

The war in Ukraine represented a major geopolitical shock for the EU. In the face of an illegal Russian aggression, EU institutions and member states rallied to support Ukraine. Nevertheless, the war in Ukraine also exposed the limited fiscal capacity of the EU. As a result, EU institutions and member states had to come up with creative ways to financially back Ukraine’s military and civilian efforts. This article examines the two key tools deployed by the EU so far to fund Ukraine in its war against Russia, namely the European Peace Facility and the Macro-Financial Assistance Instrument. The article details the legal features of these tools, evaluates their intergovernmental vs. supranational nature, and reflects on their significance for the consolidation of an EU fiscal capacity. As the article argues, the war in Ukraine quickly prompted the EU to replicate some of the novelties it used to respond to the Covid-19 pandemic, namely the use of common borrowing and spending. Nevertheless, structural fiscal and governance weaknesses still limit the ability of the EU to mobilize resources and leverage power on the international stage.
Bringing Machine Learning Systems into Clinical Practice: A Design Science Approach to Explainable Machine Learning-Based Clinical Decision Support Systems
Authors: Pumplun Luisa ,   Technical University of Darmstadt / Merck Group, Peters Felix ,   Technical University of Darmstadt / Heraeus, Gawlitza Joshua F. ,   Technical University of Munich, Buxmann Peter ,   Technical University of Darmstadt
Published: July 2023

Clinical decision support systems (CDSSs) based on machine learning (ML) hold great promise for
improving medical care. Technically, such CDSSs are already feasible but physicians have been
skeptical about their application. In particular, their opacity is a major concern, as it may lead physicians
to overlook erroneous outputs from ML-based CDSSs, potentially causing serious consequences for
patients. Research on explainable AI (XAI) offers methods with the potential to increase the
explainability of black-box ML systems. This could significantly accelerate the application of MLbased CDSSs in medicine. However, XAI research to date has mainly been technically driven and
largely neglects the needs of end users. To better engage the users of ML-based CDSSs, we applied a
design science approach to develop a design for explainable ML-based CDSSs that incorporates
insights from XAI literature while simultaneously addressing physicians’ needs. This design comprises
five design principles that designers of ML-based CDSSs can apply to implement user-centered
explanations, which are instantiated in a prototype of an explainable ML-based CDSS for lung nodule
classification. We rooted the design principles and the derived prototype in a body of justificatory
knowledge consisting of XAI literature, the concept of usability, and an online survey study involving
57 physicians. We refined the design principles and their instantiation by conducting walk-throughs
with six radiologists. A final experiment with 45 radiologists demonstrated that our design resulted in
physicians perceiving the ML-based CDSS as more explainable and usable in terms of the required
cognitive effort than a system without explanations.
Development of a Web System that Allows Detecting Stress in Young People between the Ages of 18 and 23 to Treat them Early
Authors: Alfaro-Espinoza Alex Nelson , Miñope-Anchaya Estefani , Pablo-Pachas Luis Fernando , Tafur-Ramírez Toni Abel , Delgado Alexi , Huamani Enrique Lee
Published: July 2023

Stress is a disease that goes unnoticed in most cases, currently the world is going through a global pandemic that in many cases has generated an increase of the stress level in the population; however, this disease is a response of the organism to stress factors, such as the work and educational environment, implying that the university population is very prone to suffering stress or already has it, for this reason, the present work is focused on they. Finally, a web system will be developed to a large extent that will allow detecting stress in university students through a form, for which multiple web technologies will be used, in addition to the Scrum methodology. In this way, a website prototype was obtained that meets two objectives, the detection of user stress and ensuring that they obtain the necessary information so that they know the causes and effects of this disease, as well as activities that help them to cope, control and overcome stress; thanks to this present project, the user will be able to know their stress level and knowing the severity of this, they will resort to the necessary professional help, achieving in the future, reducing the stress index in the university population.
Detection of Diseases in Flora Through Leaf Image Classification by Convolution Neural Network
Authors: Kannagi V. , Muthumanickam S. , Dhivya K. , Inbamalar T. M. , Vivekanand Chettiyar Vani , M. Rithika
Published: July 2023

The quality of human existence and economic standing are significantly impacted by agriculture. It is the foundation of a nation's economic structure. Therefore, early diagnosis of plant diseases is crucial in both the agricultural sector and in people's daily life. Hunger and starvation are caused by agricultural losses due to plant diseases, especially in less developed nations where access to disease-controlling measures is limited and yearly losses of 30 to 50 percent for main crops are not unusual. Due to inadequate diagnosis of plant diseases, many plants die. Initially, diagnosis of plant disease was performed using MATLAB and machine learning algorithms including SVM. But these diagnoses did not provide accurate results. Also, in previous works website has not been created. To overcome this problem, a CNN model has been proposed that detects plant diseases. This CNN model has been deployed to the website. On this website, the image can be uploaded, and the disease gets predicted according to the image. The detected disease gets displayed on the website. To the CNN model, 15 cases have been fed, including both healthy and unhealthy leaves. The proposed model achieves a greater accuracy of more than 95%. This work offers a major benefit to the farmers by helping them in detecting plant diseases without requiring any special hardware or software.
A Review of Image Super Resolution using Deep Learning
Authors: R. Mhatre Sneha , W. Bakal Jagdish
Published: July 2023

The image processing methods collectively known as super-resolution have proven useful in creating high-quality images from a group of low-resolution photographic images. Single image super resolution (SISR) has been applied in a variety of fields. The paper offers an in-depth analysis of a few current picture super resolution works created in various domains. In order to comprehend the most current developments in the development of Image super resolution systems, these recent publications have been examined with particular emphasis paid to the domain for which these systems have been designed, image enhancement used or not, among other factors. To improve the accuracy of the image super resolution, a different deep learning techniques might be explored. In fact, greater research into the image super resolution in medical imaging is possible to improve the data's suitability for future analysis. In light of this, it can be said that there is a lot of scope for research in the field of medical imaging.
A Novel Method of Enhancing Security Solutions and Energy Efficiency of IoT Protocols
Authors: Prasad K. D. V. , Palanikkumar D. , Gowda V. Dankan , Hussain Naziya , Jaisudhan Pazhani A. Azhagu , N. Anil Kumar
Published: July 2023

Mobile Ad-hoc Networks (MANET’s) are wireless networks that are capable of operating without any fixed infrastructure. MANET routing protocols must adhere to strict secrecy, integrity, availability and non-repudiation criteria. In MANETs, attacks are roughly categorised into two types: active and passive. An active attack attempts to modify or remove data being transferred across a network. On the other hand, passive attack does not modify or erase the data being sent over the network. The majority of routing protocols for MANETs were built with little regard for security and are therefore susceptible to a variety of assaults. Routing technologies such as AODV and dynamic source routing are quite common. Both however are susceptible to a variety of network layer attacks, including black holes, wormholes, rushing, byzantine, information disclosure. The mobility of the nodes and the open architecture in which the nodes are free to join or leave the network keep changing the topology of the network. The routing in such scenarios becomes a challenging task since it has to take into account the constraints of resources of mobile devices. In this  an analysis of these protocols indicates that, though proactive routing protocols maintain a route to every destination and have low latency, they suffer from high routing overheads and inability to keep up with the dynamic topology in a large sized network. The reactive routing protocols in contrast have low routing overheads, better throughput and higher packet delivery ratio. AODVACO-PSO-DHKE Methodology boosts throughput by 10% while reducing routing overhead by 7%, latency by 8% and energy consumption by 5%. To avoid nodes always being on, a duty cycle procedure that's also paired with the hybrid method is used ACO-FDR PSO is applied to a 100-node network and NS-3 is used to measure various metrics such as throughput, latency, overhead, energy consumption and packet delivery ratio.
Multi Disease Prediction Using HDO Machine Learning Approach
Authors: Gulhane Rutuja A. , Gupta Sunil R.
Published: July 2023

Several machine learning approaches can do predictive analytics on vast volumes of information in various sectors. Predictive analytics in health care is a challenging task. Still, it may ultimately aid physicians in making timely judgments about the health and handling of patients based on vast amounts of information. Breast cancer, diabetes, and heart-related disorders cause numerous fatalities worldwide, yet most of these decreases are attributable to an absence of appropriate screenings. The lack of remedial substructure and a short doctor-to-population proportion contribute to the issue above. Following WHO recommendations, physicians' ratio to affected persons should be in some range; India's doctor-to-public proportion indicates a doctor scarcity. Heart, cancer, and diabetes-related disorders pose a significant danger to humanity if not detected initially. Thus, early detection and identification of these disorders may save many lives. Using classification methods based on machine learning, the focus of this effort is to anticipate dangerous illnesses. Diabetes, heart disease, and breast cancer are discussed in this study. To make this effort easy and accessible to the general community, a web application for therapeutic tests has been developed that use machine learning to create illness predictions. In this study, a web application is created for illness prediction that employs the notion of machine learning-based forecasts for illnesses such as breast cancer, diabetes, and cardiovascular sickness.
PSO Optimized CNN-SVM Architecture for Covid -19 Classification
Authors: Naresh P. V. , Visalakshi R. , Satyanarayana B.
Published: July 2023

This paper presents a hybrid model that utilizes PSO particle swarm optimization, Convolution Neural Networks (CNN) and (SVM) Support Vector Machine architecture for recognition of Covid19.The planned model extracts optimized structures with particle swarm optimization then passes to Convolution Neural Network for automatic feature extraction, while the SVM serves as a Multi classifier. The dataset comprises Covid 19, Pneumonia and Normal Chest X-Ray pictures used to hone and evaluate the suggested algorithm. The most distinct traits are automatically extracted by the algorithm from these photographs. Experimental results show that the suggested framework is effective, with an average recognition accuracy of 97.42%.The most successful SVM Kernel was RBF.
Recommendation of Algorithm for Efficient Retrieval of Songs from Musical Dataset
Authors: Vodithala Swathy , Gudimalla Vaishnavi , Bhavani Y. , Madadi Preethi , Waseem Mohammed Sharfuddin
Published: July 2023

Now-a-days, the research is more towards the entertainment like music, songs, movies, etc. There are many existing works that suggest good songs, movies to people depending on their mood, nature and time that has been savior for the society during the days of lockdown. The existing algorithms used in the literature for basic clustering  are K-means, TSNE (T- distributed Stochastic Neighborhood Embedding), PCA (Principal Component Analysis).In this paper, the music dataset considered, consists of songs with attributes as song name, genres, artists, mode, tempo, valence, year, liveness, loudness, popularity, acousticness, danceability, duration, energy, explicit, instrumentalness, key. The important feature is extracted from the other features with the support of literature survey i.e., number of music listeners, types of the songs and type of the music. Later, the dataset is divided into clusters using traditional technique that is k-means based on genre, an important attribute which is selected from the above attributes. The different classifier models like Random Forest, Extra Trees, LightGBM, XGBoost, CatBoost classifier are applied on the clustered dataset and the results have been evaluated on each individual algorithm. Thus the paper recommends not only the group of relevant songs but also suggests the best accurate classification algorithm that can be used for any mentioned musical dataset. The paper also compares all the said ensemble algorithms by calculating the precision, recall, f1-score and support. The accuracy is also calculated for all said ensemble algorithms and based on the accuracy the best suitable algorithm is suggested.
Machine Learning Techniques, Detection and Prediction of Glaucoma– A Systematic Review
Authors: Mathew Jincy C. , Ilango V. , Asha V.
Published: July 2023

Globally, glaucoma is the most common factor in both permanent blindness and impairment. However, the majority of patients are unaware they have the condition, and clinical practise continues to face difficulties in detecting glaucoma progression using current technology. An expert ophthalmologist examines the retinal portion of the eye to see how the glaucoma is progressing. This method is quite time-consuming, and doing it manually takes more time. Therefore, using deep learning and machine learning techniques, this problem can be resolved by automatically diagnosing glaucoma. This systematic review involved a comprehensive analysis of various automated glaucoma prediction and detection techniques. More than 100 articles on Machine learning (ML) techniques with understandable graph and tabular column are reviewed considering summery, method, objective, performance, advantages and disadvantages. In the ML techniques such as support vector machine (SVM), and K-means. Fuzzy c-means clustering algorithm are widely used in glaucoma detection and prediction. Through the systematic review, the most accurate technique to detect and predict glaucoma can be determined which can be utilized for future betterment.
Hybrid Approach for Alzheimer’s Disease Diagnosis For 3D Brain MR Image
Authors: Mudiraj Kowkuri Hrushikesh , Arjun N. , Reddy K. Shirisha
Published: July 2023

Because of headways in deep learning and clinical imaging innovation, a few specialists are presently utilizing convolutional neural networks (CNNs) to extricate profound level properties from clinical pictures to all the more exactly classify Alzheimer's disease (AD) and expect clinical scores. A limited scale profound learning network called PCANet utilizes principal component analysis (PCA) to make multi-facet channel banks for the incorporated learning of information. Blockwise histograms are made after binarization to get picture ascribes. PCANet is less versatile than different frameworks since the multi-facet channel banks are made involving test information and the produced highlights have aspects during the many thousands or even many thousands. To conquer these issues, we present in this study a PCANet-based, information free organization called the nonnegative matrix factorization tensor decomposition network (NMF-TDNet). To deliver the last picture highlights, we first form higher-request tensors and utilize tensor decomposition (TD) to achieve information dimensionality decrease. Specifically, we foster staggered channel banks for test getting the hang of utilizing nonnegative matrix factorization(NMF) as opposed to PCA. These properties serve as input to the support vector machine (SVM) that our technique employs to diagnose AD, forecast clinical score, and categorise AD.
Forecasting Chronic Kidney Disease Using Ensemble Machine Learning Technique
Authors: Dhanwanth Batini , Vivek Bandi , Abirami M. , Waseem Shaik Mohammad , Manikantaa Challapalli
Published: July 2023

India is a rapidly expanding nation on a global scale. Chronic kidney disease (CKD) is a prevalent health problem internationally, and advance perception of this disease can aid prevent its stream. This research proposes an ensemble learning technique that combines three different algorithms, Logistic Regression, Gradient Boosting and Random Forest for the prediction of CKD. The performance of each algorithm was judged based on Root Mean Square Error (RMSE) and Mean Square Error (MSE) as performance metrics, and the predictions of each algorithm were combined using an ensemble learning technique. The dataset used for the study contained data on 400 individuals with 24 different features, which was pre-processed by removing missing values and normalizing the data. The combined algorithm showed a better performance with an RMSE of 0.2111 and an MSE of 0.0446, compared to individual algorithms. The proposed ensemble learning technique can be utilized as a divining for advance perception of CKD. The outcomes of the work reveal the effectiveness of the technique and its potential for improving patient outcomes by preventing the progression of CKD. Additionally, the ensemble learning technique can be applied to other predictive tasks to improve performance, indicating its broader applicability.
Optimized Visual Internet of Things in Video Processing for Video Streaming
Authors: Shilpa Bagade , Kumar Budati Anil , Rao L Koteswara
Published: July 2023

The global expansion of the Visual Internet of Things (VIoT) has enabled various new applications during the last decade through the interconnection of a wide range of devices and sensors.Frame freezing and buffering are the major artefacts in broad area of multimedia networking applications occurring due to significant packet loss and network congestion. Numerous studies have been carried out in order to understand the impact of packet loss on QoE for a wide range of applications. This paper improves the video streaming quality by using the proposed framework Lossy Video Transmission (LVT)  for simulating the effect of network congestion on the performance of  encrypted static images sent over wireless sensor networks.The simulations are intended for analysing video quality and determining packet drop resilience during video conversations.The assessment of emerging trends in quality measurement, including picture preference, visual attention, and audio visual quality is checked. To appropriately quantify the video quality loss caused by the encoding system, various encoders compress video sequences at various data rates.Simulation results for different QoE metrics with respect to user developed videos have been demonstrated which outperforms the existing metrics.
EETSQ: Energy Efficient Task Scheduling based on QoS Parameters in Cloud Computing Environment
Authors: Grewal Sanjiv Kumar , Mangla Neeraj
Published: July 2023

Now a day, energy consumption is the big challenge in heterogeneous cloud computing environment that needs to be considered. Cloud service provider also needs to satisfy customer’s Quality of Service (QoS) for better utilization. An energy efficient task scheduling based on QoS parameter has been proposed to address above said challenge. Firsty, all the incoming tasks are categorized into four classes based on some special attributes and prioritize according to importance of the classes. Secondly, Physical Machines (PMs) type confirmation list is selected based on the number of resource blocks and then select one PM that has maximum QoS value. All the Virtual Machines (VMs) on selected PM are prioritized according to their weight. Experimental evaluation done on CloudSim shows the effectiveness and efficiency of proposed approach.
A Novel MPPT Technique based on Hybrid Radial Movement Optimization with Teaching Learning Based Optimization for PV system
Authors: Guntupalli Radhika. , Sudhakaran M.
Published: July 2023

Because of its pure and plentiful accessibility, solar power is a remarkable resource of energy for the generation of electrical power. The solar photovoltaic mechanism transforms sunlight striking the photovoltaic solar panel or array of photovoltaic panels directly into non-linear DC power. Due to the nonlinear characteristics of solar photovoltaic panels, power must be tracked for their effective usage. When the photovoltaic arrays are shaded, the problem of nonlinearity becomes more pronounced, resulting in large power loss and intensive heating in a few areas of the photovoltaic arrangement. The tracking challenge is made more difficult by the fact that bypass diodes, which are used to completely eradicate the shading effect, generate numerous power peak levels on the power vs. voltage (P-V) curve. Traditional methods for tracing the global peak point are unable to examine the entire P-V curve as they frequently get stuck at the local peak point. Recently, machine learning or optimization algorithms have been used to determine the global peak point. Because these algorithms are random, they search the entire search area, reducing the possibility of being caught in the local maximum value. This article proposes a hybrid of two optimization approaches: radial movement optimization and teaching-learning optimization (HRMOTLBO). The proposed MPPT method was thoroughly investigated and tested in a wide range of photovoltaic partial shading combinations. The recommended HRMOTLBO MPPT approach outperforms and is more reliable than a recent Jaya-based MPPT approach in terms of tracing time and power variation under dynamic and static partial shading conditions. Experimental as well as simulation outcomes demonstrate that the proposed MPPT successfully traces the global peak point in less time and with fewer fluctuations during various partial shading conditions.
Machine Learning for Cardiovascular Disease Risk Assessment: A Systematic Review
Authors: Quamar Danish , Islam Mohammad
Published: July 2023

Accurate diagnosis and early detection of heart disease can help save lives because it is the primary cause of mortality. If a forecast is inaccurate, patients could potentially suffer significant harm. Today, it is challenging to predict and identify heart disease. 24 hour monitoring is not practical due to the extensive equipment and time required. Heart disease treatments can be both expensive and challenging. In order to obtain the data from databases and use this information to successfully forecast cardiac illness, a variety of data mining techniques and machine learning algorithms are now accessible. We have used every technique to put the heart disease prognosis into practise. The algorithms used in SVM, NAIVE BAYER, REGRESSION, KNN, ADABOOST, DECISION TREE, and XG-BOOST And Voting Ensemble Method.
The incidence of hyponatremia in hospitalized patients due to hip fracture and its effect on mortality
Authors: KAYAOKAY Kemal , ARSLAN YURTLU Derya
Published: July 2023

Purpose: Hyponatremia is associated with high morbidity and mortality in elderly patients. This study aimed to investigate the incidence of hyponatremia and its effects on the duration of hospitalization, in-hospital and 1-year mortality in elderly patients admitted to the hospital due to hip fracture.

Materials and Methods: After the approval of the ethics committee, patients over the age 65 and had hip surgery between January-December 2020 were retrospectively analyzed. The age, gender, fracture type, current comorbidities, and American Society of Anesthesiology physical status scores of the patients were recorded. Plasma Na, K, and Ca values in admission to hospital were recorded. Patients with hyponatremia and normonatremia were compared in terms of demographic data, comorbidities, duration of hospitalization, in-hospital, and 1-year mortality rates.

Results: Of the total 253 patients, 52(%20.5) had hyponatremia at hospital admission. Demographic data were similar in hyponatremic and normonatremic patients. In hyponatremia group mean Na values were 131.13±3.96 mmol/L and significantly lower than normonatremia group (138.73±2.27). In the hyponatremic group, diabetes mellitus was observed in 23 (44%) patients, and congestive heart failure was observed in 9 (17%) patients, which was higher than the normonatremic group. The preoperative and total duration of hospitalization was 5.21±2.68 and 9.92±4.49 days respectively and higher in patients with hyponatremia. In-hospital and 1-year mortality rates were similar between the groups.

Conclusion: The incidence of hyponatremia was found to be 20.5% in patients with hip fractures, and both the preoperative and total hospital stays were prolonged in these patients. Although mortality rates were similar in this study, hyponatremia requires careful follow-up and early treatment in these patients, since it is known that the length of hospital stay increases mortality.
The Development Studies on Islamic Economic Education Based on Local Wisdom in Indonesia: A Multicultural Approach
Authors: Fathurrahman Ayif
Published: July 2023

This article focuses on the development of islamic economic education in Indonesia with multi-cultural approach. It tries to reaffirm the universal values of Islam and to adjust these values to local values that have long been entrenched in the midst of Indonesian multicultural society. This research method is descriptive qualitative research using data sources from literature or library research. The research approach uses a normative approach. The normative approach is used to examine the ideals of the Islamic Economic conception and then analyze how it is applied. The result of this research regarding the urge of developing islamic economic based on multicural perspective: firstly it is because of the emergence of globalization era and postmodern culture. Secondly, the reality of Indonesian plurality, apart as syiar, is used to explore the local genius in socio economic in Indonesia.  Then Islamic economic education with multicultural approach is a progressive approach to transform education that holistically provides criticism and shows the weaknesses of Islamic economic education. Islamic economic education based on local values as an instrument of social adjustment encourages the administrators of Islamic economics to be able to play a role in instilling the awareness of the multicultural community to realize a level of comprehension of inclusive Islamic ecnomic.
Acculturation of Mosque and Church in Indonesia: Case Studies from Toraja
Authors: Michael Anthonius , Husein Fatimah , Masruri Siswanto
Published: July 2023

The interaction between culture and religion in Toraja brings social changes in various aspects of life. The cultured Toraja society gets new spiritual content, while religion gets new means to introduce the richness of its faith. This study examined the forms of religious and cultural interactions expressed in Toraja’s houses of worship, namely the Great Mosque of Rantepao and the Church of St. Theresia Rantepao, as the object of this research. In this case, two things that became the main study were how the acculturation of Islam and Catholicism in Toraja at the place of worship of the Great Mosque of Rantepao and the Church of St. Theresia Rantepao is as well as the difference between Islamic and Catholic acculturation in the Great Mosque and the Church of St. Theresia Rantepao. The interaction process between religion and Toraja culture has succeeded in forming a distinctive religious society in Toraja society, which carries out spiritual teachings well, but also upholds the cultural values in society. The Great Mosque of Rantepao and the Church of St. Theresia Rantepao are a form of acculturation of religious teachings about houses of worship and architecture of the Toraja society.
Human Security Identification in Maqoshid Sharia Concept as Implementation in Debt Trap of Digital Finance
Authors: Ardiyanti Dwi , Surwandono Surwandono , Maharani Puspa Devi , Amalia Novi Rizka
Published: July 2023

The aim of the research is to identify the relationship between phenomenon of digital finance, with the study of human security in Islamic concept. Today, cyber crime is one of the phenomena which were the result of globalization. One form of cyber crime is misusing personal data that can be accessed online illegally, for instance through the application of loan applications, digital shopping, or digital wallet. Then, this phenomenon will be analyzed through the study of human security in the science of international relations. The limitation of study focuses on the study of human security, namely personal security and economic security to analyze the phenomenon of people involved in cases of misused personal data through digital financial applications. This study concluded that the awareness of digital financial literacy will greatly help reduce economic inequality between communities which in Islam is studied in the Maqoshid Syariah law, namely Hifdz al Maal. One of the challenges faced by the community is the lack of socialization and important information about the dangers that threaten digital finance. The research used mix method approach with secondary and primary data. The primary data from questionnaire from 61 sample over 17 years old, then delivered in statistic descriptive to see the fact for real, while the secondary data obtained from journals, books, and articles. The analyses is used to determine the correlation between digital financial phenomena in the Maqosid Sharia Concept.
Defending enlightenment philosophy of the rule of law. (the image of the concept of usurping democracy in Poland Post-2015 created by independent media)
Authors: Kobylarek Aleksander , Madej Martyna
Published: July 2023

The main political party in power in Poland arouses much controversy, which is caused, among other things, by omnipresent propaganda and manipulation of content. This article results from a meta-analysis of framing media messages in Poland's leading independent media. The ruling party's reign of power, the reduction of opponents and the swearing in of (also illegitimate) allies in the most strategic positions, or the abuse of immunity and attempts to subjugate institutions such as the courts and the prosecutor's office are clearly discernible. Such acts have also directly affected citizens who have chosen to take to the streets and defend their rights, which has entailed, for example, court proceedings being brought against them. The declaration and actions of the ruling party, which invokes Catholic values, are contradictory - even mutually exclusive. The Polish free independent media show how many abnormalities and abuses have occurred during the reign of the current government. Consequently, various measures are also being taken against the fourth estate to restrict its freedom, influence its content, obstruct its journalistic integrity, and there have even been attempts to seize such media and drag them to the "right" side.
Anthropological dialogue of E. Fromm with Z. Freud and other Western philosophers (modern methodological conceptualization)
Authors: Korzhuev Andrey V. , Sadykova Albina R. , Filippova Alla A. , Lesnichuk Svetlana A. , Kontarov Nikolai A.
Published: July 2023

Along with reading the works of philosophers of the past and reflecting on their logic and content, it is important for modern humanities to identify the difference in their standpoints on the fundamental issues of human existence. The given article addresses these issues exemplified by the dialogue in letters between E. Fromm and Z. Freud. It investigates the difference between the two philosophers' views on the problems of rationalism and irrationalism, free will, good and evil in human nature, the specificity of human aggressiveness, and the relationship between the conscious and the unconscious. The article also examines the similarities and differences in the ways the thinkers approach the problem of human fear, the role of childhood in a person's adult life, manifestations of narcissism, the correlation of biological and social factors in the process of character formation, the nature of dreams in their works. In most cases, Fromm's position, focused on "libidinal charm", is recognized by Fromm as limited and supplemented by spirituality and sociality. At the same time, in a number of cases, Fromm's criticism is mild, and sometimes it shows strong, justified disagreement with Freud. It is noted that the dialogue of thinkers is interesting as highly intellectual communication on universal human issues, clearly reflecting the personal and scientific portraits of the authors for a modern researcher in the field of psychology, philosophy, sociology, and theoretical and practical education. There is a stated methodological value of the dialogue in question: through the opportunity offered to a reader to identify the correctness of the methods used: a) meaningful comparison of scientific positions; b) interpretation of quotes of the criticized opponent; c) defining the opponent's consideration as incomplete, unreasonably narrow, not reflecting the magnitude of the object under consideration; d) exposing the narrowed analysis perspective of the criticized author in a new integrity; e) analysis of the possibilities of applying the law of the excluded middle to particular cases; f) the possibility, based on a logical-meaningful synthesis, to identify those problems that have escaped the notice of the criticizing author.
The concept of man
Authors: Izteleuova Lyazzat , Mukhamadeyev Takhir , Mukhamadeyeva Irina , Elzhanova Yermek , Abildakhanova Saltanat
Published: July 2023

From the point of view of classical philosophy, a person thinks in terms of concepts. Although the term "concept" was established only in the XIX century, this thesis became a general place that does not require proof. I. Kant wrote: Thinking is cognition through the concept"1. According to G. Hegel, thinking is realized as a self-cognizing truth. In the concept, truth is achieved, and the randomness and appearance of contemplation and representation are overcome. In the philosophical-materialistic tradition, thinking is represented as a process of cognitive activity characterized by a generalized reflection of reality in the concept. Thus, in classical philosophy, thinking was closely connected with the concept. But in modern Philosophy, Linguistics and Cultural studies, there is an idea that people think not only in concepts. Domestic linguists, foreign and domestic philosophers argue that in addition to the concept, there is another structural unit of thinking, namely the concept. This "introduction" of the concept into the structure of thinking naturally attracted attention to it: there was a desire to study the concept and, above all, to analyze its relationship with the concept since a clearer understanding of thinking in general, philosophical and scientific thinking, in particular, depends on it. The relation between concept and concept can be viewed in another way as a prototype of the distinction between classical and non-classical thinking. The solution to this question can help to take a fresh look at the movement developed in the philosophy of the XX century towards overcoming classical metaphysics. Explication of the relation of the concept with the concept as forms of thinking, the concept of "concept" itself touches on fundamental issues for the theory of cognition as a whole, for example, the problem of forming general concepts.
On philosophical and other issues in foreign language education
Authors: Assanova Assel , Uzakbayeva Sakhipzhamal , Abeltayeva Janel , Zhaxylikova Kulyay , Ibraeva Gulbarshyn
Published: July 2023

Learning a foreign language has become a necessity in modern society's development. The knowledge of foreign languages contributes to the adaptation of a person to rapid changes in world society. In modern conditions, there is an urgent need for highly educated people with critical thinking skills who would be able to analyze a large flow of information and make informed decisions. To achieve this, it is necessary to pay great importance to the quality of education. The methodology of foreign language education is closely interrelated with didactics as both sciences study the educational process. As it is known, didactics considers the educational process as a whole, and the methodology of foreign language education deals with studying a specific subject and identifying the features of foreign language education. The main function of a foreign language in school is the formation of communicative competence, that is, to teach students to communicate to transmit the information received in a foreign language. In foreign language lessons, educational goals are realized while students solve communicative tasks, and patriotic feelings and feelings of tolerance for their own and foreign cultures are formed and developed among students. When learning a foreign language, harmonious personality development occurs, and her horizons expand. The purpose of foreign language education is to develop the student's potential, which determines the humanistic direction of modern education (Borisenkov, 2004).
Новый формат воспитания на уроках технологии и изобразительного искусства в современных условиях
Authors: Платова Л.В , Соловьева И.Б
Published: July 2023

В настоящее время, происходят большие изменения во всех сферах жизни российского общества Статья посвящена одному из главных вопросов современного образования - патриотическому, гражданскому и духовно- нравственному воспитанию. В статье представлен опыт организации учебного процесса по предметам «Технология» и «Изобразительное искусство» на площадке Сростинского мемориального комплекса В.М. Шукшина
К вопросу об оценке уровня сформированности профессиональных качеств студентов вузов в процессе физического воспитания
Authors: Рожнов А.А. , Захаренкова В.А. , Жабко С.Д , Виницкая И.К , Антименкова Е.Д
Published: July 2023

В данной статье раскрывается важность оценки уровня профессиональных качеств студентов вузов. Представлен теоретический анализ условий оценки уровня сформированности профессиональных качеств студентов вузов в процессе физического воспитания. Раскрыты особенности использования личностного и деятельностного критериев в процессе оценки, обоснована важность их применения, предложен к использованию метод ассессмента. Отмечен широкий потенциал процесса физического воспитания, в частности при формировании профессиональной подготовке студентов и оценке еѐ результатов, раскрыты перспективы применения педагогических технологий.
Специфика физической подготовки студентов вузов на примере курса волейбола
Authors: Рожнов А. А., , Мусалов С.О., , Нестеренко Р.С., , Палевич ., А.С , Мунтяну . Е.Е
Published: July 2023

Данная научная статья рассматривает актуальность воздействия физических упражнений на организм студентов-волейболистов. Авторы статьи подчеркивают важность комплексного подхода к физической подготовке обучающихся. Обсуждаются особенности онтокинезиологического развития студентов-волейболистов, необходимость учета учебной нагрузки и использования разнообразных форм тренировок, как основы для эффективной подготовки резерва команд высшего спортивного мастерства. Исследование представляет интерес для тренеров, педагогов и студентов, занимающихся волейболом в высших учебных учреждениях.
ВКонтакте как современный инструмент взаимодействия с родителями воспитанников дошкольного образовательного учреждения
Authors: Рязапова . Л.Р
Published: July 2023

Для формирования своего неповторимого имиджа, фирменного стиля дошкольное образовательное учреждение должно иметь четкую перспективу своего развития, видение будущего, уникальную систему ценностей и традиции, узнаваемые имиджевые характеристики и своевременно обновляемую информационную социальную сеть. В рамках нашей статьи рассматриваются главные и необходимые элементы при ведении групп в социальной сети ВКонтакте, которые на сегодняшний день используют в своей работе дошкольные образовательные учреждения г. Сургут, а также выделены элементы, которые могут включить в дальнейшую работу образовательные организации
Системный подход к личностно-ориентированному обучению будущего инженера
Authors: Сатыбалдыев А.Б.
Published: July 2023

В статье рассмотрен системный подход к личностно-ориентированному обучению будущего инженера. Рассмотрены и проанализированы основные принципы системного подхода. Системный подход к личностно-ориентированному обучению позволяет учитывать все факторы, которые могут повлиять на результаты обучения, и создавать благоприятную социальную среду для развития личности студентов. Так как будущие инженеры должны иметь не только технические знания, но и навыки руководства, командной работы, умение решать проблемы, поэтому, системный подход к личностно-ориентированному обучению будущего инженера должен включать в себя развитие этих навыков.
Влияние физической культуры на работоспособность студентов
Authors: Ходова А.Р., , Николаев П.П.
Published: July 2023

В статье затрагивается вопрос образа жизни, организации двигательной активности и влиянии занятий физической культурой на работоспособность студентов. Показаны результаты анкетирования студентов СГЭУ, направленного на изучение образа жизни студентов. Выявлены проблемы в организации образа жизни и двигательного режима студентов, недостаточном уровне понимания студентами значения физической активности в поддержании здоровья и высокого уровня работоспособности
Организация практического занятия по иностранному языку на заочной форме обучения
Authors: Хозеева И.Н
Published: July 2023

Статья посвящена методике преподавания иностранного языка студентам неязыковых направлений подготовки заочной формы обучения. В данной статье идет речь о проблемах при обучении данной категории студентов иностранному языку. В статье рассматривается один из способов решения этих проблем, а именно специфика организации учебной деятельности на практических занятиях
Эмоциональный интеллект и его влияние на развитие критического мышления будущего лидера
Authors: Шендель А.В
Published: July 2023

Актуальность исследования. В настоящее время фундаментальным вопросом Казахстанской школы является выявление и формирование способностей обучающихся, формирование конкурентоспособной личности, склонной к жизни в сверхтехнологичном мире. Поступающая информация возрастает в объемах и усложняется в учащенном режиме, но при этом очень быстро утрачивает свою актуальность, нововведения должны вновь испытываться и переосмысливаться. Концепция образования Казахстана отмечает, что для будущего нашей страны нужно готовить профессионалов высочайшей степени квалификации, которые обладают такими качествами, как стрессоустойчивость, мобильность, компетентность, терпимость и способность критически мыслить. Исходя из вышеуказанных требований, появилась потребность в подготовке высокоинтеллектуальных, многосторонне образованных выпускников организаций
Проблемы физического воспитания студентов
Authors: Яськина Е.А. , Николаев П.П
Published: July 2023

В статье рассмотрены проблемы физического воспитания студентов в вузах. Рассматриваются наиболее результативные формы работы по приобщению студентов к систематическим и регулярным занятиям физической культурой и спортом
M-Learning in Mathematical Education
Authors: Sakibaev S.R.
Published: July 2023

The article deals with the use of mobile devices in teaching mathematics. The analysis and effects of the integration of mobile technologies in the educational process are given. It is shown that mobile technologies can be successfully used to enhance the interaction between teachers and students and increase the flexibility of the learning process. Different aspects of mobile technology usage in modern higher education are discussed. The main preferences for the use of mobile devices by students and teachers in learning are analyzed.
Проблема суицидального поведения среди молодежи
Authors: Ермакова Д.Р.
Published: July 2023

В данной статье суицид рассматривается как одна из главных проблем современного общества. Выявлены основные причины суицидального поведения, психологические особенности подросткового возраста, предложены эффективные способы профилактики самоубийства. Выделены причины суицидального поведения в молодежной среде. Результатом стали рекомендации совершенствованию коммуникационных механизмов для решения обсуждаемой проблемы.
Психология принятия решение: как мы принимаем решения и как их улучшить
Authors: Хаджимурадова Б.Х.
Published: July 2023

Эта статья обсуждает процесс принятия решений в психологии и способы улучшения этого процесса. Рассматриваются различные техники, такие как рациональный анализ, SWOTанализ и метод дерева решений, а также обсуждает важность учета эмоций и ценностей при принятии решений.
Применение запахов эфирных масел для управления эмоциональным состоянием клиентов в процессе психотерапии
Authors: Хохлов Н.А , Кравцова А.В
Published: July 2023

Восприятие запахов имеет сильную эмоциональную составляющую, однако обонятельная система изучается в психологии заметно реже других анализаторов. Мы исследовали эмоциональное воздействие запахов эфирных масел методом семантического дифференциала. Базовыми категориями являются «Приятный – Неприятный», «Сильный – Слабый» и «Активный – Пассивный»; последние две категории частично связаны между собой. Выяснилось, что эмоциональное восприятие запахов сильно варьирует от человека к человеку. Создано онлайн-приложение для построения индивидуального семантического эмоционального пространства запахов. Мы используем запахи эфирных масел для управления эмоциями клиентов во время психотерапии. Запах может выступать как проективный материал, вызывая эмоционально значимые воспоминания и ассоциации. Основное влияние запахов эфирных масел состоит в повышении эмоциональной реактивности