bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of dry-land strength training on swimming performance: A systematic review
Authors: Đurović Marko , Ilić Petar , Gračanin Irfan , Madić Dejan , Okičić Tomislav
Published: July 2024

The aim of this study was to consolidate as many studies as possible and draw a general conclusion about the effects of dry-land strength and conditioning training on swimming performance. Accordingly, 16 studies were analyzed. Of that number, 14 studies looked at the direct effect of additional dryland strength training on swimming performance. One of them examined the effect of additional strength training on dry land on the swimming performance of Paralympic swimmers. Of the remaining 2 studies, one study examined the effect of additional dryland strength training on swimming turns, while the other examined the effect of additional dryland strength training on starting blocks. As a general conclusion of the study, we conclude that additional strength training on dry land has a positive effect on swimming performance, regardless of variable factors in terms of the type of training, age, gender and swimming level of the subject, if it is properly designed and implemented in practice. This conclusion came from the results of 12 analyzed studies in which a statistically significant improvement in swimming performance was recorded. In the 4 remaining studies, there was also a tendency to improve swimming performance or an improvement in some of the swimming performance, but this improvement in performance was not statistically significant, or the improvement in ability did not lead to an improvement in the final swimming performance.
Issuance of Building Approval (PBG) for Development on Land Affected by Street Plans in Surabaya City
Authors: Fatmawati Ida , Sesung Rusdianto
Published: July 2024

This research examines the issuance of Building Approval (PBG) for developments on land affected by road plans in Surabaya City, focusing on the legal consequences and status of such buildings. Employing a normative legal research methodology, the study scrutinizes relevant laws and regulations, including Surabaya Mayor Regulation Number 34 of 2023 and Government Regulation (PP) Number 16 of 2021. The findings reveal that buildings erected on government land without the required IMB or PBG are in violation of these regulations, which may result in their demolition and a lack of legal protection. The study highlights that unauthorized constructions disrupt urban planning and entail legal repercussions under the Job Creation Law, Article 29 Paragraph 1 point c. Buildings lacking IMB and PBG are subject to demolition as they are considered invalid without regional government authorization. The research emphasizes the necessity for rigorous supervision by the Mayor of Surabaya to ensure compliance. Additionally, it explores the broader significance of these permits as essential steps in converting urban spatial policies into operational frameworks, pivotal for road development and urban planning.
Optimizing Textile Manufacturing With Neural Network Decision Support: An Ornstein-Uhlenbeck Reinforcement Learning Approach
Authors: Madan Mohan Tito Ayyalasomayajula
Published: July 2024

The textile sector makes a substantial contribution to the global economy. During the Industry 4.0 era, the textile production process is anticipated to become more adaptable and versatile. The complex interplay between the macroscopic factors in different textile processes may make decision-making challenging. To address these challenges and provide a viable answer to textile manufacturing companies, machine learning methods are suggested to develop decision support systems. It is possible for a model to correctly reflect the intricate relationships that exist between the parameters and performances of a textile manufacturing process. This representation serves as the foundation for a decision support system. Especially in this work, quality control can be improved by predicting the defects in fabrics using an effective Ornstein-Uhlenbeck reinforcement learning-based decision neural network (OU_RL_DNN), which can detect both local and global defects. The framework's approach effectively reduces the expense of manually annotating the dataset. It takes a few faulty samples mixed with reference samples to learn fault characteristics and properly locate them. The experiment, which comprised a data set that was available to the public and three private fabric data sets, demonstrated that the proposed method surpasses a number of cutting-edge methods in terms of detection and detection time.
Zeitungsverbot durch die Hintertür?
Authors: Rhein-Fischer Paula
Published: July 2024

Mit ihrem gewohnten Impetus und einigem Inszenierungsaufwand verkündete Bundesinnenministerin Nancy Faeser am Dienstag dieser Woche das Verbot des rechtsextremen Magazins Compact. Seither ist die verfassungs- und verwaltungsrechtliche Debatte in vollem Gange. Ein Hauptkritikpunkt: das als Grundlage des Verbots gewählte Vereinsrecht. Tatsächlich spricht einiges dafür, dass dieses das gezielte Verbot eines Medienerzeugnisses nicht tragen kann.
Geriatric Psychiatry: Socio-demographic Characteristics and Diagnostic Profile among senior citizens attending the psychiatric outpatient department of a tertiary health care facility in Nepal.
Authors: Koirala Naba Raj , Mahat Pashupati , Nepal Mahendra K. , Ojha Saroj P. , Sinha Uday K. , Pokhrel Anupam , Sharma Vidya Dev
Published: July 2024

A retrospective study of patients, aged 60 years and over, attending the psychiatric outpatient Department of T.U. Teaching Hospital, during the study period of one-year (1999 April to 2000 March) has been carried out with the aim of studying the socio-demographic characteristics and diagnostic profile. Result revealed that the average age of elderly patients attending geriatric clinic was 67.33 years with the standard deviation of 6.32 years. The average duration of illness was 1030 weeks. The highest number of the patients were illiterate (54.2%). There were more females than males. In other socio-demographic variables, the highest number of the patients was seen in nuclear family (62%), Brahmin in cast (43.8%) and lower socio-economic strata [i.e. income less than Rs. 3000 per month (34.67%)]. Diagnostic profile indicated higher prevalence of mood disorder (30.7%) followed by organic brain disorder (28%) and tension headache (9.3%). The majority of the patients were referred from "other agencies" (28%) and only 44% of the elderly patients gave the history of their illness themselves. This study has important implications in the planning of psychiatric services for the population in this age group, but the findings has to be substantiated in a larger sample of the elderly population.
Interrelationship Between Motivation with Job Satisfaction and Productivity Parameter by Talent Acquisition Team: A Case Study
Authors: Bose Shilpa , Mohanty Sasmita
Published: July 2024

Job satisfaction, dedication, and employee motivation play an important role in the steady growth of an organization which becomes very evident especially after the pandemic. The present study aims to know the efficacy of the talent acquisition (TA) team is to understand how elements like motivation, job satisfaction and employee productivity, interact to enhance organizational performance, by identifying the factors that drive motivation among employees, the team aims to design strategies that foster job satisfaction, which in turn can lead to higher productivity levels. Here, exploratory research is used along with a statistical analysis intervention. Structured questionnaire data sourced from Durgapur Steel Plant (DSP) helped to meet the analytical conclusion. The results show that organizations need to follow a clear TA and management policy by which motivational factors and the working environment have a positive impact on the productivity of the employees. In today’s time the working environment of the organizations is global, complex, highly competitive, agile, and fast result-oriented. Expectantly, this integrative framework may guide or value further academic research on parameters of functions of TA team and might also inform the work of talent management professionals for enhancing productivity and growth of the talent pool.
A technical framework to map functional recovery performance objectives to prescriptive seismic design provisions for buildings
Authors: Sattar Siamak
Published: July 2024

Designing buildings for improved functional recovery represents a major shift in the current design paradigm. Given the novelty of the functional recovery building performance objective, current design provisions may be ineffective at controlling the underlying damage mechanisms that influence building function and recovery. Therefore, new design provisions, developed based on a fundamental understanding of building recovery behavior, are needed to meet target performance objectives for new buildings.In this report, we present a technical framework to quantify minimum prescriptive design requirements that satisfy target functional recovery performance objectives for new buildings. At its core, the framework utilizes a machine learning algorithm, trained on the simulated performance outcomes of a set of archetype building models, to identify building characteristics that form the boundary between acceptable and unacceptable building performance. The trained algorithm serves as a decision support tool for subject matter experts in making recommendations to update building code provisions through a consensus-based process.In this report, the framework is exercised on a case study archetype design space to illustrate the framework's implementation and interpretation of results. The goal of the proposed framework is to provide a technical link between probabilistic functional recovery models and practical design implementation strategies for improving community resilience and reducing disaster impacts.
Wacana Kritis: Konflik Batin Pada Tokoh Novel Lukacita Karya Valerie Patkar (Kajian Teori Eric Berne)
Authors: Sitti Juniarsih  , Masruroh Fajriyatil
Published: July 2024

ABSTRAK. Penelitian ini bertujuan untuk mendeskripsikan wacana kritis mengenai bentuk konflik batin tokoh utama, dan juga untuk mendeskripsikan teori Eric Berne yang terdapat dalam novel lukacita karya Valerie Patkar. Sumber data dalam penelitian ini berupa novel berjudul Lukacita yang merupakan novel kelima yang ditulis oleh Valerie Patkar. Hasil penelitian ini menunjukkan bahwa konflik batin tokoh utama dalam novel "Lukacita" karya Valerie Patkar merupakan bentuk konflik batin seperti rasa kecewa, sedih, takut, khawatir, tertekan, kesal, berharap, rasa bersalah, depresi, marah, dan cemas. Konflik batin tokoh utama yang terdapat pada novel ini dari konflik batin yang terjadi di dalam keluarganya, membuat mereka kesulitan menentukan tujuan hidupnya. Dari kejadian itu  kita bisa mengambil pelajaran untuk mencegah hal itu terjadi, kita harus bisa menentukan cita cita sesuai dengan hoby dan kemampuan. Pelajaran yang bisa diambil dalam hasil penelitian novel "Lukacita" karya Valerie Patkar tersebut adalah Novel Lukacita akan menjadi obat bagi kita yang memiliki luka akibat bermimpi, sehingga mampu membangun harapan yang baru.
Kata kunci: konflik batin, lukacita
Code Switching In The Use Of Java Language In Clearing Buying And Buying Transactions
Authors: Siti Rifka  , Kholifah
Published: July 2024

This research aims to describe: (1) the use of language in clothing buying and selling transactions (2) the factors causing code switching. (3) code in Javanese. The data for this research are the speech of sellers and buyers which contain code switching. The data sources in this research are sellers and buyers who carry out clothing buying and selling transactions. The data collection method used was the reading and note-taking method. The technique used was note-taking technique. This research data was analyzed using qualitative descriptive methods The results of this research show that in clothing buying and selling transactions using Javanese, both sellers and buyers often use speech that contains code switching. Forms of code switching include language code switching, namely code switching from Indonesian to Javanese or vice versa. Factors causing code switching are the speaker, the interlocutor, the presence of a third party, and generating a sense of humor.
Use Of Slang Among Gen-Z
Authors: Kusyairi  , Jamilatin Nisa  , Rani Febrianti
Published: July 2024

As time progresses, many changes have occurred in the use of Indonesian in accordance with EBI. This especially happens among Gen-Z, who are currently finding it increasingly difficult to use Indonesian properly and correctly, for example by abbreviating words, adding letters to standard words, using letters, and using slang in everyday life. The large number of Indonesian people who use slang and abbreviations in their daily communication is a deviation from using Indonesian properly and correctly. This can hinder the growth and development of the Indonesian language. Lack of awareness to love and use Indonesian in one's own country will have an impact on the fading or disappearance of Indonesian in its use in society, especially among Gen-Z. Moreover, with the rise in the world of artists using slang in the mass and electronic media, Gen-Z people are increasingly imitating it in their daily lives. This is natural because Gen-Z people like to imitate new things.
Effect of resident participation in ophthalmic surgery on wound dehiscence: A meta-analysis
Authors: Guo Yan
Published: July 2024

Background: Meta-analysis research was implemented to appraise the effect of resident participation (RP) in ophthalmic surgery (OS) on wound dehiscence (WD). Methods: Inclusive literature research until April 2023 was done, and 645 interconnected researches were revised. The 7 picked researches, enclosed 4224 OS persons were in the utilized researchers' starting point, 2189 of them were utilizing RP, and 2035 were no RP. Odds ratio (OR) and 95% confidence intervals (CIs) were utilized to appraise the consequence of RP in OS on WD by the dichotomous approach and a fixed or random model. Results: RP had significantly higher WD (OR, 1.69; 95% CI, 1.04-2.76, p=0.03) compared to no RP in OS persons. Conclusions: RP had significantly higher WD compared to no RP in OS persons. However, caution needs to be taken when interacting with its values since there was a low sample size of some of the chosen researches and a low number of researches found for the comparison in the meta-analysis.
Statistical Evaluation of Categorical Encoders for Pattern Preservation in Machine Learning Tasks
Authors: Valdez-Valenzuela Eric , Kuri-Morales Angel , Gomez-Adorno Helena
Published: July 2024

Categorical attributes are prevalent in many datasets used for training Machine Learning models. However, most ML models are designed to handle only numerical inputs. Therefore, converting these categorical attributes into numerical values is necessary to utilize them effectively. During this conversion process, it is essential to preserve the underlying patterns. A loss of such information could adversely affect the performance of ML algorithms. Several encoding techniques have been developed to map categorical instances to numbers. This study evaluates commonly used encoders alongside CESAMO, a novel encoder designed to capture relationships between categorical attributes and other variables using what is referred to as Pattern Preserving Codes. We conducted a statistically supported assessment of these categorical encoders using synthetic data and compared the encoders’ performance. The results show that CESAMO outperforms all other evaluated encoding techniques, confirming its ability to identify patterns in categorical data effectively.
THE PRINCIPLES OF IMPLEMENTATION OF STRUCTURE DESIGN THEORY IN THE MANAGEMENT PROCESSES OF ORGANIZATIONS / ԿԱՌՈՒՑԱԿԱՐԳԵՐԻ ՆԱԽԱԳԾՄԱՆ ՏԵՍՈՒԹՅԱՆ ՆԵՐԴՐՄԱՆ ՀԻՄՆԱԽՆԴԻՐՆԵՐԸ ԿԱԶՄԱԿԵՐՊՈՒԹՅՈՒՆՆԵՐԻ ԿԱՌԱՎԱՐՄԱՆ ԳՈՐԾԸՆԹԱՑՆԵՐՈՒՄ
Authors: Khachatryan Vilen , Petrosyan Rafael
Published: July 2024

The application opportunities of mechanism design theory has been analyzed in the scope of company management, particularly in the scope of individual-company negotiations process. The negotiation process has been analyzed using the mechanism design methodology. Besides the individual rationality and incentive compatibility constraints two more efficiency indicators such as net utility of agent and company has been defined to evaluate the mechanisms. During the analysis it became evident, that the widespread mechanisms in the market do not meet the defined efficiency indicators and at the same time are not considered incentive compatible. Adjusted Vickrey-Clarke-Groves mechanism has been designed by the authors, which may be applicable in the negotiation process. The designed mechanism corresponds to the defined efficiency indicators, the individual rationality and incentive compatibility constraints and can be fully implemented in the process of individual-company negotiations.
ISSUES OF RA FOREIGN TRADE DIVERSIFICATION / ՀՀ ԱՐՏԱՔԻՆ ԱՌԵՎՏՐԻ ԴԻՎԵՐՍԻՖԻԿԱՑՄԱՆ ՀԻՄՆԱԽՆԴԻՐՆԵՐԸ
Authors: Mkrtchyan Ara , Grigoryan Vadim
Published: July 2024

The economic success of any country in the world is based on foreign trade and how competitive it is. No country has yet succeeded in creating a healthy economy outside the global economic system. Foreign trade enables countries to use their existing resources in a favorable way. Through trade, countries can exchange resources, technology, and experience, benefiting from the comparative advantages of other countries.
The Republic of Armenia, having a small economy, cannot remain aloof from foreign trade relations, importing everything it needs. At the same time, taking into account the peculiarities of the Republic of Armenia, it also has export competitive advantages in certain groups of goods, forming a certain export structure. When considering foreign trade relations, not only the volumes of exports and imports and the possibility of increasing them are important, but also the diversification of exports and imports and the associated problems and ways to solve them. The Republic of Armenia, having rather limited resources, and also taking into account regional characteristics, has problems with the con¬centration of foreign trade, both from a geographical point of view and from a commodity point of view.
THE APPROACH TO ASSESSING THE DEBT BURDEN IN THE CONTEXT OF FINANCIAL STABILITY-LIQUIDITY-SOLVENCY CONNECTION IN ALCOHOLIC BEVERAGE ORGANIZATIONS / ԱԼԿՈՀՈԼԱՅԻՆ ԽՄԻՉՔՆԵՐԻ ԿԱԶՄԱԿԵՐՊՈՒԹՅՈՒՆՆԵՐՈՒՄ ՖԻՆԱՆՍԱԿԱՆ ԿԱՅՈՒՆՈՒԹՅՈՒՆ-ԻՐԱՑՎԵԼԻՈՒԹՅՈՒՆ -ՎՃԱՐՈՒՆԱԿՈՒԹՅՈՒՆ ԿԱՊԻ ՀԱՄԱՏԵՔՍՏՈՒՄ ՊԱՐՏՔԱՅԻՆ ԲԵՌԻ ԳՆԱՀԱՏՄԱՆ ՄՈՏԵՑՈՒՄԸ
Authors: Mirzoyan Ani
Published: July 2024

In the post-crisis stage of the Covid-19 pandemic, one of the key solution issues in commercial organizations is the assessment of the interaction of financial stability-liquidity-solvency and debt burden.
The high threshold level of financial leverage (liabilities/equity) has caused deep problems in the process of financial management of solvency and, therefore, also profitability.
This article presents the assessment of debt burden correlation in the financial stability-liquidity-solvency relationship in alcoholic beverage companies listed on the world stock exchange and studied, as well as proposed practical solutions for improving financial management in that direction.
The article aims to evaluate with a new approach the interaction of the debt burden on the financial stability-liquidity-solvency relationship in the alcoholic beverage companies listed on the international stock exchange and based on the linear regression analysis, to propose the intervals for re-estimation of the primary factors, which will be considered as a new approach to improving financial management in that direction. The scientific novelty of the research is the proposed approach to assessing the interaction of the debt burden on the financial stability-liquidity-solvency relationship and the bounding intervals for the regulation of the main factors.
Exploring the Role of Artificial Intelligence and Machine Learning in Pharmaceutical Formulation Design
Authors: Dey Hrithik , Arya Nisha , Mathur Harshita , Chatterjee Neel , Jadon Ruchi
Published: July 2024

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into pharmaceutical formulation design has brought about a significant transformation, opening up new avenues for innovation and operational efficiency. This review paper aims to extensively examine the utilization of AI and ML in pharmaceutical formulation development, consolidating recent empirical findings and emerging patterns. Meta-analyses examining AI-driven drug discovery and formulation design efforts have revealed promising outcomes, including the acceleration of drug development timelines and enhancements in success rates across preclinical and clinical trials. Notably, a meta-analysis featured in Nature Reviews Drug Discovery sheds light on the pivotal role of AI in rational drug design, resulting in the identification of novel therapeutic candidates boasting improved efficacy and diminished side effects. Furthermore, AI and ML techniques are increasingly being deployed to optimize drug delivery systems, with studies showcasing their effectiveness in devising controlled-release formulations and nano-scale delivery platforms. For instance, the research highlighted in Advanced Drug Delivery Reviews demonstrates the application of ML algorithms in predicting the physicochemical attributes of nanoparticles, thereby aiding in the development of more durable and efficient drug carriers. Despite these advancements, challenges persist, including data scarcity, regulatory complexities, and ethical considerations. Nevertheless, ongoing endeavors to tackle these obstacles coupled with the continual evolution of AI and ML technologies offer promising prospects for the future of pharmaceutical formulation design. In conclusion, this review underscores the transformative influence of AI and ML on pharmaceutical formulation development, underscoring the necessity for sustained research and collaboration to fully leverage these technologies in enhancing healthcare outcomes.
Computational Approaches to Identifying Potent FAK Inhibitors: A Molecular Docking and Toxicity Study
Authors: Singh Surbhi , Nigam Vaibhav , Patel Preeti
Published: July 2024

Focal Adhesion Kinase (FAK) is a crucial non-receptor tyrosine kinase involved in cellular processes such as survival, proliferation, and migration, making it a promising target in cancer therapy. This study focuses on the identification and evaluation of potential FAK inhibitors through computational docking and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiling. A virtual screening of a large compound library was conducted using molecular docking techniques to predict the binding affinity and interaction of the compounds with the active site of FAK. The top-ranked compounds were further analyzed for their pharmacokinetic properties and toxicity profiles using ADMET prediction tools to ensure their drug-likeness and safety. Results from the docking studies identified several high-affinity ligands that fit well within the FAK active site, showing significant hydrogen bonding and hydrophobic interactions. ADMET analysis of these lead compounds indicated favorable absorption, distribution characteristics, and metabolic stability, with minimal predicted toxicity. This integrated computational approach provides a robust framework for the discovery of novel FAK inhibitors with optimal therapeutic potential and reduced adverse effects, paving the way for future in vitro and in vivo validation studies.
Social Engineering for Waste Management in Hangar Systems and Recycling Centers Based on Community Participation Using the Jeknyong Application Supports Banyumas Zero Waste
Authors: SUYANTO EDY , WARDIYONO FX , SANTOSO JOKO , SETIAWAN DARMANTO SAHAT
Published: July 2024

The aim of the research is to examine community participation in waste management based on the Jeknyong application program and examine the obstacles to the Jeknyong application program. The research method uses descriptive qualitative, taking informants using purposive sampling, in-depth interview data collection, observation with interactive analysis. The results show that community participation in waste management at waste sources is progressing. The community in collecting and sorting inorganic waste has collaborated with waste banks, PDUs, hangars, KSMs with the jeknyong application. The government has also established 25 TPSTs which are able to significantly reduce downstream waste, namely going to landfill, from 144 trucks to 22 waste trucks every day after being sorted and processed. However, there are still obstacles, namely the mixture of plastic waste with organic waste and wet plastic waste making it difficult to process. Picking up inorganic waste using the Jeknyong application system is not yet optimal, because there are still many people who are clueless and don't know where the Jeknyong vehicles hang out. The problem is that waste collectors' welfare does not pay enough attention to the welfare of waste management, namely that partners also move officers and jeknyong carts to pick up waste. Waste management in the center is characterized by KSM with a hangar and PDU system. However, this causes community participation in waste management to be less active.
A Bibliometrics-Based Review of Domestic Research in the Field of Artificial Intelligence
Authors: Wang Chong , Chen Zixi
Published: July 2024

Artificial Intelligence (AI) is a technology that simulates human intelligence and has been rapidly developed in recent years. With the continuous development of the Internet and big data technology, AI technology has been widely applied and studied. In this paper, using "artificial intelligence" as the keyword, we searched the core journals on China Knowledge Network, selected 8913 effective documents from 2015-2023 as the research samples, and used the scientific bibliometric methods such as word frequency analysis, cluster analysis, and theme evolution analysis, and visualized and analyzed them with the help of COOC software, to synthesize the research hotspots in the field of artificial intelligence. The hotspots, development and evolution history of research in the field of artificial intelligence are sorted out, and the future research direction and application prospects are prospected.
Choices and Voices: The Influence of Voice Pitch on the Voting Preference of Barangay Tubod, Iligan City
Authors: Capa Allen Dave , Lariosa Charish Ann , Pacaldo Renalyne , Iglupas John Gieveson , Aguja Hilton , Baulete Elaine
Published: July 2024

This study explores the role of voice pitch as a heuristic influencing voting preferences and leadership-related impressions. Drawing from the case of 200 respondents from Barangay Tubod, Iligan City, this study determines the influence of voice pitch on voting preference and leadership-related impressions. A face-to-face survey was conducted to identify their preferred male and female voice pitch in a hypothetical Philippine presidential election as well as the male and female voice pitch that respondents tend to associate with the leadership attributes of dominance, intelligence, competence, strength, and trustworthiness. An individual face-to-face interview was further conducted to identify the reasons and impressions of the voter respondents’ preferred female and male voice pitches to further reinforce the quantitative findings. Results showed that the low- pitched female and male presidential candidates in a hypothetical election are significantly preferred by voter respondents. Interestingly, young adult respondents did not have any significant preference for any voice pitch of the female candidate which differs from the prior works of literature on voting preference associated with voice pitch.
The Importance of Building Religious Tolerance In Indonesia Through Multicultural Education From An Islamic Perspective
Authors: Putri Anggi Ariska , Nurhuda Abid , Assajad Anas , Sinta Dewi
Published: July 2024

Indonesia is a diverse archipelagic country where it holds uniqueness in every corner. Uniting diversity is not an easy thing even though the majority of the community is Muslim but religious conflicts still often occur due to a lack of tolerance towards other people. So the purpose of this study is to describe the Importance of Building Religious Tolerance in Indonesia Through Multicultural Education in an Islamic Perspective. The method used is qualitative with a literature study approach, then the data are collected both primary and secondary by careful observation techniques, then analyzed, and finally concluded descriptively. The results of the study show that the Importance of Building Religious Tolerance in Indonesia Through Multicultural Education from an Islamic Perspective is to be able to build an inclusive religious and diversity paradigm, followed by respecting the diversity of cultures, languages, ethnicities, races, and religions. And the last is to build a gender-sensitive attitude. These three things in Islam are under the principles of maqosidu sharia, one of which is closely related to ad-din/religion.
The Roll of Mass Media in Influencing Popular Culture
Authors: Jelytha Ningrum Anindha , Nita Raden , Fatimah Yulia , Krismonica Sianturi Mei , Taskiyah Ellisya , Karimah Khairunnisa , Adi Putra Erangga , Abdillah Adi , Kristantio Desmonda Willy
Published: July 2024

Mass media plays a noteworthy part in forming and impacting prevalent culture. This article explores how media stages such as tv, radio, and the web, beside media substance such as movies, music, and TV appears, affect the recognitions and behaviors of society towards well known culture. The impact of new advances such as social media and online gushing is additionally analyzed within the setting of fast social alter. Furthermore, the part of the promoting industry in advancing particular items, administrations, and ways of life through mass media is inspected Studies of generalizations, unequal representations, and the social affect of mass media are moreover talked about. This article too analyzes social changes over time and society's reaction to unused patterns popularized by mass media. The suggestions of mass media impact on social personality and values are moreover surveyed, as well as endeavors to oversee this impact emphatically.
Cancer Cervix: An Experience at Tertiary Healthcare Centre in India
Authors: Vijay Naiknaware Sachin
Published: July 2024

Introduction: Cervical cancer is the second leading cause of cancer deaths among women in India and 25% of all global deaths due to cervical cancer occurs in India. Globally 70-80%of cervical cancers are attributed to human papilloma virus (HPV) mainly genotype 16 and 18. It is been documented that cervical cancer incidence is greater among lower socio-economic status women, less educated women and in those having larger number of children’s. Methodology: 200 case of cancer cervix registered at oncology opd and ward were selected and followed up prospectively in a teaching institution for all the variables and treatment protocols and followed up for complications, morbidity, and symptomatic relief and recurrence or cure of disease. A detailed case pro forma was made including all details of patients, patients were examined in details including physical and speculum examination and investigated accordingly to find out the stage of disease, various treatment modalities were used according to stage of disease as surgery, radiotherapy, chemotherapy and combination of above treatment modalities where required. Results: In our study majority of patients were in the age group of 40-51years and having an advanced disease stage (55%)at presentation.cauliflower type of growth was most common finding on per speculum examination, white discharge per vaginum(79%) was the most common presenting symptom followed by postmenopausal bleeding (51%)and postcoital bleeding(36%). Conclusion: Cancer cervix is preventable disease but unfortunately not yet prevented, action is needed both for primary and secondary prevention of cervical cancer.HPV vaccination is now globally accepted as a safe and effective means of primary prevention of cervical cancer.
How the Destinations’ Authenticity and Popularity Influence the Structure of the Travel Agencies’ Tourism Products
Authors: Anișoara Băieș Bianca
Published: July 2024

The present paper seeks to put in a relationship, the authenticity of rural destinations and their popularity among tourism consumers, vis a vis of the integration, promotion and marketing through tourism products of travel agencies. Maramureș is perhaps the most authentic area of Romania, both in terms of tangible and intangible cultural heritage. The isolated geographical location of the area, in the northern most corner of the country, has involuntary contributed to a good preservation of this heritage. Therefore, my case study focused on rural localities in this area and how they are included, promoted and commercialized through the products of tourism agencies, considering UNESCO's criteria of authenticity, as an atribute of cultural identity and popularity as an attribute of commercial identity. The analysis started from the premise that a tourist identity of an authentic destination apears when, in addition to the cultural identity of the respective destination, there is also a commercial identity through which the destination gets added value.
Analytical Analysis of the Bladeless Rotor Turbine Design for Enhanced Performance
Authors: Onanuga Kehinde Olutayo , Sobamowo Gbeminiyi Musibau , Ehinlafa Emmanuel Olusegun , Erusiafe Nald , Olopade Muteeu Abayomi , Ekum Matthew Iwada
Published: July 2024

The growing desire for clean and efficient energy solutions has fueled considerable advances in turbine technology. This study proposed a conceptual approach to enhancing the performance of bladeless turbines using an analytical technique, and the analytical solutions bear a resemblance to the experimental setup for a fluid dynamics investigation of a rotor for real-flow effects. The Navier-Stokes equations for fluid flow in cylindrical coordinates were simplified to two-dimensional flow by ignoring axial direction and velocity, and direct integration was used in conjunction with series expansion solutions. The experiment data were used to verify the rotor's fluid dynamics analytical solutions. The model's result was compared to previously calculated solutions of the fluid dynamics of a disc rotor in a bladeless turbine. The disc turbine models were used to predict radial velocity, tangential velocity, pressure gradient, volumetric flow rate, rotor torque, shear stress on the inner and outer disc walls, and rotor efficiency. The model was validated using experimental data with an efficiency of 23.9%, the theoretical solution model was 34%, and the analytical efficiency was 24.3%. The efficiency comparison of the analytical solutions model to the theoretical solutions model revealed a substantial difference, however, the correlation between computed theoretical and analytical results is significant. Previous studies used computed solutions for models, but current analytical solutions outperformed them. The model's output will be valuable to engineers building the disc turbine. It demonstrates a strong link between the analytical and experimental research of the bladeless turbine.
Assessment of Naturally Occurring Radionuclide in Soil Samples from Kutayi Mining Sites in Muya Local Government Area, Niger State, Nigeria
Authors: Suleiman I. K.
Published: July 2024

This work examines the Kutayi mining sites with a view of assessing the activity concentration and effective dose rate of NORM (i.e. 40K, 232Th and 226Ra) in these site absorbed in 8 soil samples collected from different areas within the Kutayi mining sites, A γ-ray spectrometry NaI (Tl) at CERT. ABU Zaria, was used to carry out the analysis of the soil samples. The result shows that, activity concentration for 40K ranged from 428.9269 to 93.6236 BqKg-1; for 226Ra it ranged from 50.1738 to 13.7891 BqKg-1 and for 232Th the ranged is from 52.1095 to 18.7457 Bq.Kg-1, the absorbed dose for 40K ranged from 17.8863 to 3.9041 ŋGy.h-1, for 226Ra the range is from 23.1803 to 3.1614 ŋGy.h-1 and for 232Th range from 31.47419 to 11.3224 ŋGy.h-1. The total mean absorbed dose rate is 42.5341 ŋGy.h-1 and the annual effective dose  range from 0.0355 mSvy-1 (i.e. 36 – 76 μSv.y-1), with an mean annual effective dose of  0.0522 mSv.y-1 (i.e. 52.2 μSv.y-1, Also the mean Radium Equivalents (Raeq) obtained ranged from 64.0280 BqKg-1 (KT6) to 135.3245 BqKg-1 (KT8). This results show that, the Raeq is  370 BqKg-1 which is the requirement for soil to be used for dwellings; hence the soil from this site is suitable use for buildings. The mean Hext ranged from 0.1730 Bqkg-1 (KT6) to 0.3438 Bqkg-1 (KT8). The maximum allowed value of (Hext = 1) corresponds to the upper limit of Raeq (370 BqKg-1) in order to limit the external gamma radiation dose from the soil to 1.5 mGy y-1, i.e. index should Hext  = 1. All these values for Iα are below the maximum permissible value of Iα= 1 which corresponds to 200 Bq.Kg-1. Hence no radiological hazard is envisaged to dwellers of the study areas and the miners working on those sites.
Un paradigma en la Guía de Formación Práctica en el Entorno Académico (GFPEA) en los Institutos Superiores Tecnológicos del Ecuador
Authors: Criollo Ortega Carmen Leticia , Cadena Astudillo Marco Iván , Cadena Astudillo Flavio Ramiro
Published: July 2024

La formación práctica que han desarrollado los estudiantes de nivel tecnológico ocupó un lugar central en el proceso educativo, contribuyendo significativamente al desarrollo integral de los estudiantes, equipándolos con las habilidades necesarias para enfrentar los desafíos de un mercado laboral cada vez más competitivo e impulsado por la tecnología. Razón por la cual se ha desarrollado un paradigma en la Guía de Formación Práctica en el Entorno Académico (GFPEC), que ha servido como un documento orientador enriqueciendo la formación práctica en el entorno académica habiendo ayudado en la implementación del componente práctico experimental de los estudiantes. Fue necesario considerar el perfil de egreso que ha sido diseñado para cada carrera, reconociendo que las habilidades motoras de aprendizaje de perfil de egreso, el diseño curricular, la elección de recursos (y equipos) adecuados y estrategias de aprendizaje activas que podrían impulsar la innovación en el proceso que han ocupado un lugar destacado en la formación de tercer nivel Técnico y Tecnológico Superior. También se ha destacado la evaluación formativa y sumativa que, junto con la retroalimentación, han actuado como evidencia del progreso de los estudiantes hacia la adquisición de competencias.
Uso dual de cannabis y tabaco: percepción de riesgo, consecuencias y razones para buscar tratamiento
Authors: Bustamante Aguilar Diana Berenice , Ancira Guzmán Ana Patricia , Rosales García María , Lira Mandujano Jennifer
Published: July 2024

El uso dual de cannabis y tabaco es una problemática social y de salud permeada por una percepción de riesgo, este fenómeno se ha observado en países donde hay mayor aceptabilidad social derivado de la legalización generando un bajo interés en la búsqueda de tratamiento. Por tal motivo el objetivo del presente trabajo fue identificar y analizar la percepción del riesgo, consecuencias del consumo y las razones para buscar tratamiento en consumidores duales de cannabis y tabaco. Se realizó un estudio con enfoque cualitativo donde se entrevistaron a dieciocho usuarios duales, las entrevistas se analizaron mediante el análisis de contenido. Los participantes reportaron una menor percepción de riesgo para el consumo de cannabis, dificultad para identificar consecuencias negativas de su consumo, así como desinterés en cesar el uso dual.
Explorando nuevos horizontes educativos, las TIC y su impacto en las prácticas de aprendizaje [Exploring new educational horizons, ICTs and their impact on learning practices]
Authors: Chuma-Doncon Cesar Daniel , Castillo-Castillo Deisy
Published: July 2024

Se tiene por objetivo analizar el impacto de las Fintech en los servicios financieros digitales, explorando tanto las oportunidades como los desafíos que presentan. Este estudio se llevó a cabo utilizando una revisión sistemática, la población de documentos fue de 16 articulos científicos, la búsqueda se limitó a artículos publicados en los últimos diez años (2013-2023) para asegurar la relevancia y actualidad de la información. La ciberseguridad es una preocupación central debido al aumento de las transacciones digitales y la gestión de datos sensibles. A pesar de estos desafíos, las Fintech han contribuido significativamente al sector financiero, mejorando e innovando los procesos operativos y beneficiando tanto a individuos como a grandes organizaciones. La investigación sobre Fintech es crucial, ya que destaca la importancia de la tecnología en el desarrollo de la industria financiera y ayuda a comprender mejor este dinámico y creciente modelo de negocio.
乡村振兴视阈下家风、村风、乡风重塑价值与路径研究
Authors: Guo Nan
Published: July 2024

实现中华民族的伟大复兴需要实施乡村振兴战略,这就要求实现乡风文明、生态宜居、产业兴旺等,因此展开家风、村风和乡风的建设至关重要。目前关于乡村振兴背景下乡风村风的建设路径、存在问题和对策出路多有探讨,在乡村文明的建设过程中,大力推进人居环境改造和移风易俗,全力调动基层和社会力量开展精神文明建设,积累了一些有效经验,同时也找到一些不足,可以充分吸取经验教训,通过队伍建设、人才培养等改善乡风建设效率和建设成果。
Utilization of Convolutional Neural Networks in Coin Grading for BSP Series One Peso Coins
Authors: Santos John Dustin ,   Polytechnic University of the Philippines, Dela Fuente Michael ,   Polytechnic University of the Philippines
Published: July 2024

Identifying the grade of the coin is one of the methods used in numismatics to get the condition and collector’s values of a coin. Coin grading is subjective and sensitive in nature in which at least three (3) numismatists or coin graders or experts are needed to have a persuasive result or coin grade. This paper aimed to develop a tool that will give an accurate and objective grade of a coin. The main objective of this paper is to check whether a developed tool can accurately grade a coin based on its image only. This study used a Convolutional Neural Network (CNN) as image analysis algorithm for the developed tool and three hundred (300) BSP Series one peso coin images for each of the five-coin grades were also generated as dataset for the tool to perform its function. Major results produced a more accurate tool that gave a specific grade of a coin. A group of numismatists or coin graders or experts evaluated the developed coin grading tool in which it acquired very satisfactory results. Convolutional neural network is proven to be effective in accurately and objectively grading coin images and can be a great help for numismatist in appraising coins. This can be improved by considering variety of coins for grading.
Decolonial Imagination and the Unmaking of (Post)Colonial Cities and Tongues: History, Memory, and Futurity in the Work of Angolan, Mozambican, São Tomean, Cabo Verdean, and Portuguese Contemporary Artists
Authors: ANA BALONA DE OLIVEIRA
Published: July 2024

ABSTRACT: This  essay  argues  for  the  importance  of  attending  to  the  visual  production  of  contemporary  artists  concerning  critical,  decolonizing  perspectives  on  notions  of  Portuguese  heritage  and  influence  in  Portuguese-speaking  African  countries.  Several  artists have been looking critically at sculptural, architectural, and linguistic structures, to  name  a  few,  left  by  Portuguese  colonialism  in  Angola,  Mozambique,  São  Tomé  and  Príncipe, Cabo Verde, and Guinea-Bissau, as well as in Portugal’s urban landscapes. The examined  case  studies  are  relevant  works  by  the  artists  Kiluanji  Kia  Henda  (Angola,  b.  1979);  Ângela  Ferreira  (Mozambique,  b.  1958);  Filipa  César  (Portugal,  b.  1975);  Olavo  Amado  (São  Tomé  and  Príncipe,  b.  1979);  Filipe  Branquinho  (Mozambique,  b.  1977);  Mónica de Miranda (Portugal, b. 1976); René Tavares (São Tomé and Príncipe, b. 1983); Irineu Destourelles (Cabo Verde, b. 1974); and Grada Kilomba (Portugal, b. 1968). These artists bring such physical and linguistic colonial remnants to light from an ethico-political perspective with inventiveness and wit, employing artistic disruption in order to think critically about psychic and systemic coloniality in the postcolonial present and to conceive of decolonized futures.
KEYWORDS: contemporary art; decolonizing heritage and influence; cities, architectures, and languages; history, memory, and futurity
RESUMO: Este ensaio argumenta no sentido de se reconhecer a importância da produção visual dos artistas contemporâneos no que a perspectivas críticas e descolonizadoras  das  noções  de  património  e  influência  portuguesa  nos  países  africanos  de  língua  oficial  portuguesa  diz  respeito.  Vários  artistas  têm  olhado  criticamente  para  as  estruturas escultóricas, arquitectónicas e linguísticas, entre outras, que foram deixadas pelo colonialismo  português  em  Angola,  Moçambique,  São  Tomé  e  Príncipe,  Cabo  Verde  e Guiné-Bissau, assim como nas paisagens urbanas de Portugal. Os estudos de caso em análise  são  obras  relevantes  dos  artistas  Kiluanji  Kia  Henda  (Angola,  1979),  Ângela  Ferreira  (Moçambique,  1958),  Filipa  César  (Portugal,  1975),  Olavo  Amado  (São  Tomé  e  Príncipe, 1979), Filipe Branquinho (Moçambique, 1977), Mónica de Miranda (Portugal, 1976), René Tavares (São Tomé e Príncipe, 1983), Irineu Destourelles (Cabo Verde, 1974), e Grada Kilomba (Portugal, 1968). Com inventividade e humor, estes artistas trazem à luz ético-politicamente e perturbam artisticamente tais vestígios coloniais físicos e linguísticos,  com  o  intuito  de  pensar  criticamente  sobre  a  colonialidade  psíquica  e  sistémica no presente pós-colonial, e de conceber futuros descolonizados.
PALAVRAS-CHAVE: arte  contemporânea;  descolonizar  património  e  influência;  cidades,  arquitecturas e línguas; história, memória e futuridade