bluuebunny/crossref_metadata_2025 huggingface dataset:
Online Patient Work
Authors: Stage Carsten , Karlsson Amanda , Ledderer Loni
Published: March 2024

Patients in Western countries increasingly experience a lack of continuity of care. The aim of this article is to understand how patients with one or more chronic conditions handle and prevent experiences of discontinuity of care by engaging in collaborative – and most often systemically invisible – patient work in peer-led online communities (PLOCs). The article’s analysis is based on 20 interviews with users of two Danish PLOCs and finds that care continuity is primarily addressed in its absence; that is when it has been lacking in systemic experiences, or when discontinuity is anticipated or feared in future encounters. The analysis shows that the collaborative patient work done in online communities can be understood as patients’ attempts to mend discontinuities produced by health institutions. Three dominant mending practices are (1) to interpret or vent systemic information to increase collective understanding and decrease frustration, (2) to prepare for encounters with the system to enable them to be more effective, and (3) to push the system to improve decisions and services linked to treatment and care. Considering these findings, the article concludes that there is a need to acknowledge the collaborative work of patients in PLOCs as an informal contributor to continuity of care.
Harmonization of hygienic standardization of chemicals in water by a general sanitary harmful index
Authors: Sinitsyna Oksana O. , Kuznetsova Olga V. , Turbinskii Viktor V. , Pushkareva Mariya V.
Published: March 2024

Introduction. The Russian hygienic standardization system of chemical compounds in water, providing the criteria for harmful effects not only on humans, but also on the sanitary state of water bodies, assumes the value of the general sanitary harmful index which differs local and international approaches to the hygienic standardization of chemical compounds in water.
Aim of research. Justification of the differentiated hygienic standards in water system for various types of water management and the delivery of the algorithm for hygienic standards updating of chemical substances in water with general sanitary index of harmfulness on the basis of contemporary data on their hazard.
Materials and methods. The research material included regulatory documents on the assessment of water quality and safety, methodological documents, and materials on hygienic standards of chemical substances in water for different types of water supply. Comparative analysis and expert assessment methods were used to propose the adjustment algorithm for hygienic standards.
Results. The necessity of updating the existing hygienic standardization system of chemical in water with the establishment of differentiated maximum permissible concentrations (MPC) of chemical substances in various types of water management was justified.
It was proposed to actualize maximum MPC, limiting harm index, hazard class for the substances standardized in water according to the algorithm of MPC correction (approximate permissible level) taking into account the current data on their hazard.
Limitations. The research limitation is the lack of chemical hazard results considering current methods and approaches.
Conclusion. The system of two different types of standards will promote more objective hygienic assessment of various types of water use: 1) for drinking water and water from sources of household and drinking water supply; 2) for water from water bodies of cultural and residential water supply.
Prospects of the development and harmonization of hygienic standardization taking into account the risk of odour in the ambient air
Authors: Kuzmin Sergey V. , Budarina Olga V. , Rakhmanin Yuri A. , Pinigin Migmar A. , Dodina Natalia S. , Skovronskaya Svetlana A.
Published: March 2024

Introduction. The presence of a specific odour in the ambient air in the areas where various enterprises are located with formal compliance with environmental legislation indicates the need to update the methodology of hygienic standardization of odourous substances.
The purpose of the work is to analyze modern methods of the establishment of standards for odourous complex multicomponent mixtures of substances in the atmospheric air and substantiate ways to harmonize them in this field of knowledge.
Materials and methods. The paper systematizes existing approaches to regulating the quality of atmospheric air in areas where odourous emissions sources are located, taking into account certain provisions of regulatory and methodological documents, publications on approaches, and criteria for quantitative sanitary and hygienic assessment of the quality of the environment and public health, as well as the authors’ long-term experience in this field.
Results. The basic principles of hygienic standardization of the permissible content of odorous mixtures of substances in the atmospheric air taking into account their odour are formulated. The substantiation of hygienic standards is carried out with the allocation of substances identified as priority (indicator), based on the results of studying the production technology and the formation of emissions, olfactory properties of the mixture under experimental conditions, with the possibility of monitoring the established standard in atmospheric air by certified instrumental methods of analysis.
Limitations. The limitations of the study are due to the fact that this article does not fully reflect the issues of the development of the entire atmospheric air quality management system taking into account the risk of odour outside the focus of this work, which will be covered in the preparation of the following articles.
Conclusion. The ongoing process of harmonization of domestic and foreign approaches used in hygienic standardization including the field of regulation of atmospheric air pollution by specific odours makes it necessary to significantly expand approaches to the issues of rationing and assessment of environmental pollution by complex multicomponent emissions of odour-source enterprises taking into account modern experience.
Subjective socio-psychological well-being of a person as a factor in the choice of food products
Authors: Kovaleva Maria A. , Shmeleva Svetlana V. , Feoktistova Svetlana V. , Marinova Tatyana Yu. , Dubrovinskaya Ekaterina I. , Yulina Galina N. , Maskaeva Tatiana Yu. , Rybakova Anna I.
Published: March 2024

Introduction. Food preferences of people are largely determined by genetic predisposition, However, from the moment of birth, they tend to change depending on the influence of the social environment, personal experience and significant personalities.
The purpose of the work is to reveal the influence of subjective socio-psychological well-being on the formation of food preferences through an assessment of its relationship with external factors determining the choice of a particular product.
Materials and methods. The following methods were used in the study: the «Eating Behaviour Assessment Scale» method, the Psychological Well-Being Scale” method, “Subjective Economic Well-Being Questionnaire”, methodology for diagnosing the level of self-esteem, authors’ questionnaire. The statistical software SPSS 22.0 was used to process the data. The study surveyed 22 to 60 years 250 peoples. Consent to participate in the study was obtained from each subject.
Results. The main components of the concept of “subjective socio-psychological well-being of consumers” are determined, their interrelations with various factors of external marketing influences on buyers are revealed. The subjective factors mediating eating behaviour, reflected in the concept under consideration, largely determine the effectiveness of the influence on the individual of various external marketing influences when buying food.
Limitations. The sample of the study, despite the rather large volume, was not representative enough and included only residents of Moscow and the Moscow region, which does not give the right to use the results obtained outside the region with confidence.
Conclusion. The higher the level of subjective socio-psychological well-being, the more expensive goods people prefer. At a low level, the greatest attention when choosing is given to information about the quality of the product on the label. The effect of advertising and brand on food choice in both high and low individuals is extremely small.
Development and validation of a method for the quantitative determination of metoprolol succinate in the air of the working area by high-performance liquid chromatography using mass spectra
Authors: Savchenko Alla Yu. , Kartamyshev Ilya I. , Zhiltcov Pavel A. , Dubovik Natalya S.
Published: March 2024

Introduction. Metoprolol is a cardioselective blocker of β-adrenergic receptors. Drugs containing metoprolol have hypotensive, antianginal, antiarrhythmic effects. Moderately dangerous when taken orally, has a general toxic effect. Metoprolol is produced in two forms: in the form of salts of tartaric and succinic acids, the approximate safe level of exposure to which is 0.3 mg/m3. To ensure the safety of workers, it is necessary to carry out sanitary and hygienic air control. Methods for the quantitative analysis of metoprolol in the air of the working area, presented in the current scientific literature, allow monitoring only for metoprolol salts in the form of tartrate.
The aim of the study is to develop and validate an analytical method for the quantitative determination
of metoprolol succinate in the air of the working area by HPLC-MS.
Materials and methods. For the analysis, standard samples of metoprolol succinate and air samples taken at all stages of the life cycle of the production of the drug metoproolol were used. Chromatographic separation and detection were performed on an Agilent 1260 Infinity G6125B high performance liquid chromatograph (Agilent Technologies, USA) equipped with a column and sample thermostat, a degasser, a pump, an autosampler, and a G6125B mass selective detector. A Waters Xbridge® C18 3.5 µm column was used; 2.1×30 mm (Waters, Ireland). Primary data were processed using Open Lab CDS ChemStation Edition (Rev. C.01.07 SR3) software (Agilent Technologies, USA).
Results. A method for the quantitative determination of metoprolol succinate in air samples by HPLC-MS has been developed and validated. During the validation of the developed methodology, it was found that the validation characteristics (specificity, linearity, accuracy and precision, correctness, reproducibility) are within the acceptance criteria. The analytical range of the technique was 0.1–10.0 µg/ml and allows the developed technique to be used to control the average shift MPCs in the air of the working area.
Limitations. The results of the study of the air in the working area are applicable only to the production of the drug metoprolol in the form of tablets; the study of air during the synthesis and packaging of the active pharmaceutical substance was not carried out.
Conclusion. An analysis of air samples from the production of the drug metoprolol was carried out and the safety of working conditions was proved.
Structural and stylistic features of german phraseological units with a coloronym component
Authors: Kargina Elena M.
Published: March 2024

The article presents an analysis of the structural and stylistic features of German phraseological units with a coloronym component and considers the peculiarities of the relations between the components of these constructions. The point of view established in linguistics is that stable phrases with adjectives expressing basic color concepts are phraseological units. The author identifies and structures nominal and verbal groups of phraseological units with a coloronym component, presents an analysis of the relationship between the components of stable phrases containing a color designation. It was found that the functions of classification and amplification stand out as the main functions of coloronym adjectives within a stable phrase. The theoretical and practical significance of the study consists in substantiating the originality of structural and stylistic features of German phraseological units with coloronym adjectives, which is due to the degree of cohesion and the nature of rethinking the components of the structure. The possibility of using an adjective as a semantically pivotal word in a stable phrase is proved.
America’s “Great Equalizer”? Modern Trends in Education Funding Disparities and New Policy Solutions
Authors: DiFelice Luca , Prato Marta
Published: March 2024

For decades, debates around education access and funding have become increasingly potent, as an extensive body of research has made the correlation between human capital and future outcomes abundantly clear. As inequality deepens, Americans continually question whether the American Dream still exists, and economists are scrambling to identify the underlying origin. In light of these trends, this paper aims to highlight issues in education funding, which perpetuate institutionalized divisions by class and race, and illuminate how those disparities translate into broader economic issues that extend far beyond the classroom. Following an analysis of status-quo funding measures, I will turn to a series of potential policy interventions that aim to reduce disparities by desegregating opportunity access via housing voucher and wage subsidy remedies. After conducting a cost-benefit analysis of each policy using data from multiple studies, I will conclude my analysis with common next steps necessary to make policies effective going forward.
ROLE OF THE HEAD OF THE NEW MUHAMMADIYAH KEBAYORAN BRANCH IN CHILD PROTECTION EFFORTS
Authors: Mukhlish Mukhlish Muhammad Maududi
Published: March 2024

Tujuan dari penelitian ini adalah mendeskripsikan model perlindungan sosial bagi Anak yang dilakukan Pimpinan Cabang Muhammadiyah (PCM) Kebayoran Baru, Teknik pengumpulan data yang dilakukan melalui observasi dan wawancara kepada pengurus PCM Kebayoran Baru, data sekunder berupa dokumentasi dan artikel dalam jurnal-jurnal yang terkait dengan penelitian, pendekatan yang digunakan Deskriptif Kualitatif. Dengan hasil penelitian dalam masa-masa pandemi covid-19 kejahatan terhadap anak meningkat,  Anak menjadi korban kejahatan yang sangat rentan, Muhammadiyah Kebayoran Baru memiliki model perlindunan terhadap anak yang terimplementasi dalam bidang Pendidikan, dan sosial, sinergi antara Majelis Pendidikan Dasar Menengah, dengan Amal Usaha Sekolah-sekolah SD, SMP dan SMA dengan Amal Usaha LAZIS-MU Kebayoran Baru dan Majelis Hukum dan HAM memberikan perlindungan sosial terhadap anak.
Implementasi Kebijakan Sistem Informasi Pegawai Daerah (Sipd) Berdasarkan Perpres Nomor 95 Tahun 2018
Authors: Mirza Tony
Published: March 2024

The purpose of this study is knowing how to implement the Regional Personnel Information System (SIPD) policy and knowing the elements that can support and hinder the implementation of the SIPD strategy at the Agency for Development of Personnel and Human Resources (BKPSDM) Palembang City. This exploration is directed by a subjective methodology. Exploration is directed at the Palembang City BKPSDM. Judging from the consequences of the review, it tends to be reasonable that the implementation of the SIPD Policy which was completed at the Palembang BKPSDM as a whole has been carried out very well. However, in carrying out the SIPD strategy there are several obstacles, including the proposed increase in ASN/representatives which seems to make it difficult for workers with an excessive number of stages, especially through OPD, BKPSDM, later at that time BKN. These stages may not have to be passed, considering that only by using the SIPD application all information on labor regulations can be obtained at OPD, BKPSDM and BKN without the need for the relevant representative to take care of it to the regions. Variables that affect the implementation of this SIPD strategy include correspondence factors, assets, behavior and regulatory design
Analisis Narasi Media Pada Film Asma Amr M Salama
Authors: Azizah Isnawati Nurul , Marini
Published: March 2024

Film is one form of mass communication that is popular in Indonesia. Film is the result of a creative process combined with today's technology. Film, which is part of the mass media, is a medium of communication. Asma Amr Movie. Salama is a film that depicts the existence of Egyptian women and their struggle against the stigma of discrimination. This research is a qualitative research with descriptive method. This study also uses a qualitative approach and constructivism paradigm as well as narrative analysis by Tzvetan Todorov. The conclusion is the narrative of the story can be seen. There is an element of feminism, so the researcher sees a conformity with the theory by Tzvetan Todorov.
PENGARUH PENGGUNAAN MEDIA SOSIAL TIKTOK TERHADAP POLA KOMUNIKASI EFEKTIF MAHASISWA ILMU KOMUNIKASI UNIVERSITAS MUHAMMADIYAH KOTABUMI ANGKATAN 2022
Authors: Kadri Wahab Nur , Andika Ahmad Yoga Dian
Published: March 2024

The purpose of this research is to see the influence of using social media TikTok on Communication Science students at Muhammadiyah University Kotabumi class of 2022 on communication habits in communicating with their peers. This research method uses quantitative research methods whose main analysis is simple linear regression analysis. This research uses non-probability sampling techniques and purposive sampling design. A questionnaire designed based on key indicators from the two research variables was distributed to 73 active communication science students at Muhammadiyah University, Kotabumi. The results of exploratory data analysis using IBM SPSS Statistics 26 show that the social media variable Tiktok (X) has a significant effect on the communication patterns (Y) of Muhammadiyah University Kotabum students. Meanwhile, Tiktok social media has a significant influence on the communication patterns of Communication Science students at Muhammadiyah University, Kotabumi
STRATEGI KOMUNIKASI PERSUASIF MAHASISWA ILMU KOMUNIKASI UNIVERSITAS MUHAMMADIYAH KOTABUMI DALAM MEMEMPROMOSIKAN PROGRAM STUDI MELALUI MEDIA SOSIAL
Authors: Setiawan Tedi , Marini  , Salas Hagi Julio
Published: March 2024

Communication is a crucial part of social life within a community. In this digital era, communication and interaction between individuals can take place through various means, one of which is social media. In many human activities, effective communication is essential to ensure that messages reach the recipients successfully. Persuasive communication is particularly important for influencing recipients in specific contexts, such as promoting the communication science program at UMKO. This research adopts a qualitative approach with interview data collection techniques. The purpose of persuasive communication by UMKO communication science students in promotions is to attract the interest of prospective students to the communication science program itself. Promotion efforts are carried out through social media platforms like Facebook and Instagram. Persuasive communication on social media proves to be quite effective, given the widespread use of these platforms for obtaining desired information. Through persuasive communication in promotional activities, it aims to influence prospective students pursuing higher education at the university level to choose the communication science program.
STRATEGI KOMUNIKASI PEMASARAN PRODUK UMKM BASRENG ENDUL DALAM MENCIPTAKAN BRAND AWARNESS
Authors: Salas Hagi Julio , Junaedi Fajar , Ardinata Suci Ria
Published: March 2024

The product marketing communication strategy to create Brand Awareness in UMKM (Micro, Small, Medium Enterprises) is formed from the growth of consumer interest in the snacks being sold, flavor variants in food products, as well as the potential for developing UMKM in facing increasingly fierce market competition. Of course, this cannot be separated from the marketing communications strategy that must be carried out to overcome competition. This research aims to determine the marketing communication strategy for Basreng Endul UMKM products in creating Brand Awareness. This type of research is qualitative descriptive research, by collecting data through interviews, observations and literature studies which aim to analyze and explain descriptively, namely describing to explain an object and phenomenon which will be expressed in writing and sentences. Based on the results of research conducted in the field, it can be concluded that the marketing communication strategy carried out by UMKM for Endul basreng products is to carry out points in the marketing communication mix with a focus on direct marketing through social media (Direct Marketing), word of mouth promotion. mouth or go directly into the field to offer or recommend products to consumers (Personal Selling), create attractive promotional pamphlets to introduce products (Advertising). Visual communication and recommendations are factors that influence the creation of brand awareness. This strategy is used in marketing Basreng Endul UMKM products in creating Brand Awareness.
REPUTASI DIGITAL DAN PERFORMA KOMUNIKASI BAITUL MUSLIMIN INDONESIA (BAMUSI) PDI PERJUANGAN
Authors: Marini Marini , Lestari Desi
Published: March 2024

Baitul Muslimin Indonesia (Bamusi) sebagai organisasi keagamaan sayap partai PDI Perjuangan menampilkan berbagai performance di platform media digital. Seni berpolitik yang dilakukan PDI Perjuangan melalui Bamusi mengambil peran di ruang digital, dan memperkuat keberadaan PDI Perjuangan. Menuju pemilu 2024 partai politik perlu intens dalam melakukan perfoma di media digital. Penelitian ini menggunakan teori manajemen reputasi digital, yaitu teori management reputasi dari Charles J. Formbun. Paradigma yang digunakan dalam penelitian ini adalah paradigma konstruktivisme. Penelitian ini adalah penelitian kualitatif dengan menggunakan pendekatan studi kasus dan kajian pustaka.

Hasil penelitian menunjukkan Bamusi menyadari pentingnya promosi melalui media sosial tetapi cenderung fokus pada target posting. Dalam hal perencanaan, ditemukan beberapa kendala dalam pengelolaan media sosial dan masih kurangnya evaluasi terhadap kegiatan tersebut. Bamusi menggunakan Instagram dan YouTube untuk mempromosikan koleksi, layanan dan kegiatannya. Bamusi TV untuk mengelola konten, dimulai dari mendiskusikan konten yang mau ditampilkan sesuai dengan momentum-momentum dan kemudian mencari strategi untuk menciptakan konten yang berbeda.
Audit Komunikasi Strategi Digital Universitas Muhammadiyah Kotabumi dalam Menguatkan Brand Image di Instagram
Authors: Della Della Monica , Astari Devi Wening , Irawan Rizky Rahmanda , Novekawati
Published: March 2024

The fast-growing technology on social media has changed the behavior of the public in receiving information. Today's social media use in Indonesia is growing so rapidly every year. According to Melansir Data Reportal, by 2023, there are 167 million social media users out of 153 million over the age of 18, which is 79.5% of the total population. The purpose of this research is to analyze the effectiveness of digital branding and positioning strategies carried out by the University of Muhammadiyah Kotabumi with the approach of auditing communication using the method of SOSTAC. The results of this study show that the University has not yet had a field of human rights, so UMKO's identity is not maximum, branding, and postitoning are not well managed and the use of social media especially Instagram is not maximal even can be passively regulated.
Comparative Analysis of ML Models for Currency Exchange Rate Prediction
Authors: Rami Khyati , Rajput Ansh , Shripathi Navin , Patel Jay , Patel Roshni
Published: March 2024

The primary aim of this research is to improve the prediction of the exchange rate between the United States Dollar (USD) and the Indian Rupee (INR), which is an area that has received little attention in the field of financial forecasting. In contrast to widespread methodologies that consolidate results over several currency pair, this study specifically concentrates on the USD to INR pair, recognising the distinctive economic and political dynamics between the United States and India. This study aims to do a comparative analysis of four various machine learning models, namely RNN, ARIMA, LSTM, and Random Forest, in order to determine the best effective tool for predicting exchange rates in a certain context. This research employs a holistic methodology, including a wide range of variables like trade balances, interest rates, and geopolitical events, so providing a multifaceted forecasting approach. The growing economic interdependence between the United States and India highlights the practical importance of precise predictions for many stakeholders, such as traders, investors, and politicians. Furthermore, the study examines the concept of dynamic model updating, a novel attribute that augments flexibility within the ever-changing financial industry. The primary objective of this work is to address a significant need in current academic research by developing a reliable and practical instrument for accurately forecasting the exchange rate between the United States Dollar (USD) and the Indian Rupee (INR). This research is notable for its specific concentration, use of comparative methods, and its potential to make substantial advancements in both academic and practical domains pertaining to currency exchange rate forecasting.
Inovasi Pembelajaran: Pengembangan Media Interaktif Sistem Pencernaan untuk Meningkatkan Prestasi Belajar pada Siswa Madrasah Ibtidaiyah
Authors: Wijayanto Adi , Khoiriyah Sheni Umi , Setyowati Eni , Taman Mona Refaat
Published: March 2024

This research is motivated by the presentation of media in print which is still considered less interesting, because it tends to be boring in learning. For this reason, new breakthroughs are needed in presenting material with interesting summaries. This research and development uses research and development (R&D) research methods using the ADDIE model. As a result of this research and development, the researcher concluded that interactive learning media based on Adobe Animation can improve science learning outcomes for class V at MI Modern Mutiara Iman Ngunut Tulungagung. The research results showed that interactive media was declared feasible by experts with an average score of 92%. The use of interactive media received a positive response from teachers, getting 84% and a positive response from students getting 91%. The media was effectively used by students with the results of an increase in the average pre-test and post-test scores of 88%. Thus, interactive media based on Adobe Animation is declared feasible, practical and effective for use as interactive learning media in class V science studies learning in elementary schools.
USE THE NANO-CHITOSAN TO INHIBIT THE TWO FUNGI ASPERGILLUS NIGER. AND NIGROSPORA SPHAERICA WHICH ISOLATED FROM ZEA MAYS L. LABORATORY
Authors: A. M. AL-TEMEME Zeinab , AWAHD Haifa , Mansour AL-HAKEEM Asmaa , G. Sh. BAJLAN Sabah
Published: March 2024

The isolation from Zea mays L. showed two types of fungi Aspergillus niger., Nigrospora sphaerica with a frequency of 38% and 22 %sequentially, Fungi were Isolated diagnosed by keys of taxonomic, Diagnosis of the fungus was assured N. sphaerica depending on the Polymerase Chain Reaction Technology {PCR}. It is the first recording in Iraq/ Karbala Province. Nano-chitosan achieved 100% inhibition rates in vitro
INVESTIGATION USE IRRADIATION TO TREAT SOIL CONTAMINATE WITH OIL
Authors: M.A. Hatem ALGELAL Sanaa , A. H. ARAB Karrar , H. MUSSA Maryam , A. GUDA Muthik , J.HADI Sheimaa
Published: March 2024

the utilization of gamma rays with a high energy is common in the treatment of water contaminated with organic matter. Although it is an effective method for treating water contamination with biological contaminants. The effect of these rays on soil contamination with oil has not been investigated. In light of this, the impact of radiation on soil contaminated with oil was studied the effects of these rays on the physical and chemical properties of oil in the treated soil after being exposed to gamma rays at various dosages was studied. The nuclear lab of the Physics Department, Faculty of Science, University of Kufa, Iraq processed three samples of oil-contaminated soil. The International Atomic Energy Agency (IAEA) in a close setup, all samples may be radioactively irradiated concurrently at dosages of 0, 11, 30, and 70 krad. The area of experimentation in the Kufa University, Faculty of Science, Ecology Departments for 30 days. The main results have been reduction in TOC, DO, COD, in contaminate soil with oil for all radiation doses. This demonstrates the utility of radiation technology in contaminate soil with oil treatment and the possibility of using irradiation technology in the biological treatment in such kind of contaminate soil. This is an effective, new, and fast method of treatment.
COMPARISON OF THE CHEMICAL CHARACTERISTICS OF THE GENERA CREPIS L. AND PICRIS L. FROM THE FAMILY CICHORIOIDEAE USING HPLC TECHNOLOGY, WHICH IS WIDESPREAD IN EASTERN IRAQ
Authors: Saad Ibrahim AL-KARAWI Karim , Mustafa AL-OBAID Naglaa
Published: March 2024

The results of the chemical analysis show the presence of eight phenolic compounds: Gallic acid, Rutin, Qurcetine, Kaempferol, Chlorogenic acid, Catechin, Vanillic acid, and Ferulic acid, with these compounds differing in their concentrations (or percentages) in the species of both studied sexes. The species are: Crepis foetida and Crepis sahendii. Crepis aspera, Picris babylonica (A), Picris babylonica (B), and Picris dasertorum. In any case, the phenolic compound Rutin recorded the highest concentrations of 30.25 micrograms/g in the species C.sahendii of the genus Crepis, compared to the concentrations of other phenolic compounds in the species of the genus Crepis, while the phenolic compound Vanillic acid showed the lowest concentration of 5.49 micrograms/g in the species C.foetida compared to the concentrations of the rest of the phenoles of the Crepis species. The phenolic compound Gallic acid recorded the highest concentrations of 33.08 micrograms/g in the P.babylonica (B) species of the genus Picris compared to the concentrations of other phenolic compounds of the same species of the genus Picris, while the phenolic compound Vanillic acid showed the lowest concentration of 9.00 micrograms/g in the species P.babylonica (A) compared to the concentrations of the rest of the phenols identified for types of the genus Picris
GEOPOLITICAL THEORY AND IDENTITY PATTERNS (AN INTERTEXTUAL CRITIQUE IN POETIC TEXT) GEOPOLITICAL THEORY AND IDENTITY PATTERNS (AN INTERTEXTUAL CRITIQUE IN POETIC TEXT)
Authors: Abd- Elrahman Mabrook HASSAN Morad
Published: March 2024

This research aims to introduce the concept of geopolitical theory and its relationship to identity patterns in Arabic literary texts. It highlights the scholars' and critics' openness to the humanities and applied sciences that intersect with modern critical theories. Any shift in political perspectives that leads to changes in the landscape of a nation necessitates corresponding transformations in literary texts and subsequently in identity patterns. This study holds significant importance both in geographical and literary/critical studies, seeking to explore interdisciplinary aspects within the humanities and to express the lived Arab reality. Furthermore, it emphasizes the relevance of keeping up with the advancements in critical studies due to their influence and interaction with foreign counterparts. The research delves into the problem of identifying a connection between the dimensions of geopolitical theory from both geographical and critical perspectives. To address this, poetic models are chosen that illustrate the relationship between geopolitical theory, identity patterns, and poetic texts. The study aims to answer some research hypotheses and address its problematic aspects through the results obtained, notably the inevitability of the existence of a relationship between geopolitical theory, identity patterns, and poetic texts. The research comprises two main axes. The first axis is theoretical and explores the concept of geopolitical theory, its dimensions, and its relationship to identity patterns. It also considers the main elements that contributed to shaping geopolitical theory in literary texts, including political, cultural, social, and civilizational factors, among others. The second axis is applied and focuses on the geopolitical aspects of poetic structures, particularly in functional and prose poetry
CLIMATIC FACTORS FOR GROWING AND PRODUCING STRAWBERRIES IN IRAQ
Authors: Mohammed Aziz AL-SILAWI Ghufran , Awad Abdoun AL-JASSANI Nisreen
Published: March 2024

The research aims to study the appropriate climatic ingredients for the cultivation and production of strawberries in Iraq. The study concluded that the climatic ingredients for cultivating and producing strawberries are available in a way that is compatible with the cultivated varieties in Iraq, and the extensive areas of strawberry cultivation in Iraq are concentrated in (Baghdad, Diyala, Salahuddin), in When the area planted with strawberry crops decreases in (Wasit, Karbala), either in terms of total productivity, it was occupied by Baghdad Governorate at the highest total productivity of strawberry crops, either the lowest total product The relationship relationship recorded between the regular rates of temperatures and the total production, while the relationship of the link was weak between solar radiation and the total production.
THE EFFECT OF BODY COMPOSITION ON PHYSICAL FITNESS AMONG COLLEGIATE RUGBY PLAYERS
Authors:   Universiti Malaya, Faculty of Sports and Exercise Science, Mohd Norsyazmi , Hanim Hamzah Sareena ,   Universiti Malaya, Faculty of Sports and Exercise Science, Feisal Merican Aljunid Amir ,   Universiti Malaya, Institute of Biological Sciences, Centre of Research for Computational Sciences and Informatics in Biology
Published: March 2024

Objective: To investigate the relationship between body composition and physical fitness characteristics of collegiate rugby union players and explore their physical profiles based on their playing positions. Method: High-level collegiate players (n = 27, age = 21.2 ± 1.1 years) that were grouped in two playing positions, as forwards and backs were assessed. Data were collected for body weight (BW), height, body composition (body fat percentage [BF%] and lean body mass [LBM]), 3-sec sprint test (3SST), Illinois change of direction (ICOD), vertical jump (VJT), and aerobic fitness (VO2 max). Results: Forwards players presented significantly higher BW, BF%, and LBM compared to backs players. Backs players were significantly faster and had better VO2 max than the forwards players. Depending on playing positions, BF% and LBM showed a moderate to strong relationship with physical fitness performances. Conclusion: Anthropometric such as height, BW, LBM, and VO2 max can be a contributing factor in determining players’ playing positions and their appropriate playing standards in rugby union. Level of Evidence III; Retrospective Comparative Study.
On the combinatorial identities using the nth power of square matrix
Authors: Gohel Gopal K. , Patil Kailash M.
Published: March 2024

In this paper, we provide an independent proof for calculating the power of a matrix, where our proof complements the theorem established by McLaughlin in 2004 [10,p-3]. Additionally, we obtain some novel combinatorial identities from the above result.
Cognitive equilibrium and instability : Lyapunov stability analysis in mental health research
Authors: Verma Vivek Kumar , Saini Bhavna , Jain Tarun , Dadheech Pankaj
Published: March 2024

Mental well-being is often seen as a fragile state, akin to a tightrope walk of balance. In our paper, “Cognitive Equilibrium and Instability: Lyapunov Stability Analysis in Mental Health Research,” we explore the nuanced dance between consistency and change in the realm of cognitive function. Drawing on Lyapunov Stability principles from the study of dynamic systems, we offer new perspectives on mental health mechanics. We propose that the mind is in a state of perpetual flux, constantly adjusting to a spectrum of influences to maintain cognitive balance. Our work involves identifying these points of balance and assessing their robustness using Lyapunov Stability Analysis. We examine how various factors, such as stress, environmental changes, and biological variations, can disrupt this balance, possibly leading to states of well-being or illness. Through our models, we illuminate the evolution and path of mental health conditions. Our methodology is a synthesis of theoretical models and real-world data, including neuroimaging, clinical, and psychological evaluations. Case studies in our paper demonstrate the application of our models to conditions like anxiety, depression, and bipolar disorder, revealing the fluid nature of these ailments. This work goes on to discuss the practical implications of our findings in the clinical setting. By identifying pivotal points of potential instability, our model serves as a tool for early identification of mental health concerns, guiding the creation of specific therapeutic interventions. Additionally, our work supports a tailored approach to mental health care, appreciating the individual cognitive patterns unique to each person. Our paper contributes to the burgeoning field of computational psychiatry, blending mathematical analysis with a perspective centered on the human experience. It sets the stage for future interdisciplinary research aimed at decoding the intricacies of the human psyche.
Deep insight : Mathematical modeling and statistical analysis for mango leaf disease classification using advanced deep learning models
Authors: Mathur Priya , Sheth Farhan , Goyal Dinesh , Gupta Amit Kumar
Published: March 2024

This paper presents a comprehensive investigation into the mathematical modeling and statistical analysis of classification of mango leaf diseases employing state-of-the-art Deep Learning models. The literature review underscores the significance of automated disease detection in agriculture, with Convolutional Neural Networks (CNNs) emerging as pivotal tools for image-based tasks. The proposed methodology encompasses meticulous preprocessing, optimal hyperparameter tuning, and fine-tuning of pretrained models (Inception V3, MobileNet V3 Small, MobileNet V3 Large, and ResNet50). Results indicate rapid convergence and outstanding accuracy during initial training, with all models achieving 100% accuracy on both validation and test datasets. K-Fold cross-validation affirms the models’ consistency, with Inception V3 demonstrating leading performance. Detailed analyses, including training and loss graphs and confusion matrices, offer nuanced insights and highlight areas for refinement, particularly in distinguishing Healthy leaf, Gall Midge, and Anthracnose. This research positions the proposed methodology as a promising approach with potential applications in real-world agricultural scenarios, where precise disease detection is critical for effective crop management and optimal yields.
Automatic rain sensing car wiper design
Authors: Kumar Adarsh , Gandhar Abhishek , Raj Piyush , Pal Rishabh , Rohan Rohan , Gandhar Shashi
Published: March 2024

In these modern times, the world is shifting towards automation whether it is automobile industry or some other. In this paper we propose automation for car wiper control. Apart from some high-end luxury vehicles all other uses manual schemes for wiper control during rainfall, which can be deadly for drivers and passengers as well as it requires proper attention to increase or decrease the wiping frequency according to rain intensity. This increases the risk of accidents; therefore, automatic rain sensing wiper system becomes a more appealing feature. Although such systems are available in market, but they are not popular due to their high cost and other limitations. The objective of this paper is to provide a cost-effective system for automatic rain sensing wiper control. This system employs a rain sensing module which senses the rain and sends an analog signal to Arduino nano which analyzes the signal and energizes the servomotor which performs the wiping operation. By implementing this automation in automobiles, we can increase the driver and passengers’ safety by a great margin.
A conditionally positive definite kernel function for clustering of incomplete data
Authors: Goel Sonia , Tushir Meena
Published: March 2024

Clustering of incomplete data sets that contains missing features is one of the most widely studied problems in the literature, and several imputation and non-imputation techniques are used to solve this problem. A weighted sum of the Euclidean distance from the datum to the corresponding clusters is used in  Fuzzy c-means clustering. It has been observed that the kernel-based clustering techniques outperform the conventional algorithms in terms of accuracy. This is due to their ability to handle non-linear data and map it to higher dimensional space while preserving its internal structure. Kernel functions are really important when it comes to the performance of kernel-based clustering methods. Choosing the right kernel function isn’t simple. Among the various clustering algorithms that have been examined in the literature, the, Gaussian kernel function has been found to be more useful.. This paper suggests a conditionally positive definite kernel function that can be used in the unsupervised clustering of incomplete data. Numerical analysis shows that the conditionally positive definite kernel function also performs well on datasets with incomplete features.
Enhanced credit card fraud detection in online transactions using Long Short Term Memory (LSTM) and RFM analysis with ADAYSN oversampling
Authors: Rana Bhumika , Tomar Tanu , Kaur Amandeep , Kaur Parsan , Singh Simmi , Lamba Puneet Singh , Jain Achin , Taneja Harsh
Published: March 2024

The expansion of online transactions, particularly online credit card transactions, has revolutionized the field of e-commerce and streamlined electronic payment systems. However, this growth has also given rise to a significant challenge in the form of credit card fraud. To combat this issue, banks and financial organizations have recognized the need for robust credit card fraud detection applications. Machine learning (ML) approaches have emerged as a valuable tool in this regard, as they offer the potential to accurately detect and prevent fraudulent transactions. Long Short-Term Memory (LSTM), a recurrent neural network, is used in this study’s evaluation of ML approaches for detecting credit card fraud (CCFD) in online transactions. The most effective LSTM architecture is chosen after a thorough examination based on its capacity to identify credit card fraud with high accuracy and precision. The suggested method makes use of LSTM and RFM analysis to comprehend customer behavior and ADASYN sampling to address class imbalance. The findings show that the selected LSTM architecture, in combination with RFM analysis and ADASYN, delivers great efficiency and efficacy in identifying credit card fraud, hence promoting safe online transactions.
Enhancing cloud service efficiency through ant colony optimization with multi-objective task scheduling
Authors: Singh Prabh Deep , Singh Kiran Deep , Taneja Harsh , Verma Rohan
Published: March 2024

The emergence of cloud computing technology as a prevailing paradigm for providing scalable and readily available computing resources has presented a complex challenge in terms of efficiently allocating activities to resources, taking into consideration many innovative applications. The integration of Ant Colony Optimization, with particular focus on addressing multiple objectives, presents a potentially adaptable approach to tackling the intricacies inherent in the management of cloud services. This problem is often categorized as an NP-hard problem and necessitates methods that not only cater to user requirements but also enhance overall system efficiency. In this paper, the application of Ant Colony Optimization (ACO) is utilized for improving cloud service efficiency. As cloud infrastructure handle diverse and dynamic workloads, the study addresses the challenges of optimizing resource utilization and minimizing cost. The proposed methodology introduces multi-objective optimization, aiming to balance conflicting goals and create Pareto-optimal solutions. The integration of ACO in cloud-based job scheduling contributes to the discourse on advancing efficiency in modern computing environments. Results show the effectiveness of the proposed approach.
Conditional GAN for face aging
Authors: Bhardwaj Anil Kumar , Arora Charu , Malhotra Nisha , Malik Payal , Rehalia Arvind
Published: March 2024

Face Ageing is a method for converting a person’s image into a certain age group. Recent research has shown that generative adversarial networks are capable of producing artificial pictures. In the paper, a conditional GAN- based model of facial ageing is proposed. Finally, a cutting-edge “Identity Preserving” optimization strategy is initiated. The suggested technique has tremendous potential, as shown by an objective analysis of the photos of aged and rejuvenated faces produced utilising cutting-edge facial recognition and age estimation technologies.
Causas de impactación de premolares inferiores en pacientes pediátricos. Serie de casos.
Authors: Hirschhaut Miguel , Acosta de Camargo Maria Gabriela , Rodríguez José Antonio , Rodríguez Hector
Published: March 2024

Impacted teeth are frequently observed in clinical practice. However, the presence of impacted premolars is a rarely reported dental anomaly. It is known of a genetic relationship between the presence of several dental anomalies in the same patient as well as in the same family. Among the anomalies associated with lower premolar impactions are palatal impacted cuspids and upper lateral incisors with alteration in shape or number. This investigation aimed to describe the causes associated with lower premolar impaction through a series of 6 cases, between 11 and 15 years of age. The results found suggest the causes associated with the impaction of lower premolars were prolonged retention of primary teeth, altered eruptive pattern, presence of supernumeraries, premature loss of primary teeth and delayed eruption associated with hormonal factors. It is concluded that the presence of premolar impaction points to an association of several causes that converge, observing not only one but several dental anomalies.
Pre-surgical orthopedics success in patients with cleft lip and cleft palate: scoping review
Authors: Cisneros Hidalgo Cristhian Ariel , Riveros Carvajal Cristhian Camilo , Calderon Guzman Karla Xilena , Hurtado Cristancho Kimberly Yulieth , Cabrera Arango Claudia Liliana
Published: March 2024

Background Information: Kerr McNeil, a Scottish prosthetic introduced the Neonatal maxillary orthopedics two centuries ago setting the concept of using orthopedic parts to produced a more natural-like maxilla. Three different types of pre-surgical orthopedics have been described. These are: active, semi-active and passive. Objective: Perform a research in indexed data regarding the success of pre-surgical orthopedics treatment in patients with a condition of cleft lip and cleft palate. Methodology: A computer based research was performed at electronic data bases such as: PUBMED, SCIENCEDIRECT, PROQUEST, COCHRANE, OVIDSP SCOPUS, and MEDLINE. The Booleans researches used in the multiples data bases were OR, AND, NOT. Findings: Thirteen papers met the eligibility standards and were included in this review. Four of them are descriptive, longitudinal and prospective observational studies. Five are clinic reports, one is a retrospective study, one is a Cochrane review, and two are clinic cases and check ups. The orthopedics treatment implementation depended on the kind of extension cases and severity of the cleft palate. Conclusion: the pre-surgical orthopedics is successful if it is implemented at birth up to three months of age. It assures satisfactory results decreasing considerably cleft palate, nasal malformation, and cleft lip before performing Cheilorrhaphy and Palatorrhaphy procedures.