bluuebunny/crossref_metadata_2025 huggingface dataset:
Read, Make, and Mend the World: College Students Developing an Antiracist, Interdisciplinary Curriculum for Children
Authors: Anderson Diane , Ping Yifan , Li Patrick , Markel Bess Levin , Moyo Pempho , Nation Faith , King Shaadiin , Bautista Abigail , Lee Sophia , Alvarado Cristopher , Poxon Luca , Tillis Tiara , Huynh Jane , Lopez Cindy
Published: June 2023

After the plurality of crises experienced in 2020, including but not limited to a once-in-a-lifetime pandemic, a national reckoning with racial violence, and political violence, one teacher and twelve college students set out to explore and create actively antiracist, self-nourishing pedagogies for elementary students. Using the theoretical approaches of bell hooks, Gholdy Muhammad, Corita Kent, and Gloria Ladson-Billings, the class chose to center the approach of making and crafting as the module to challenge and dismantle systems of oppression. This article charts their journey of using BIPOC-centered books, highlighting marginalized makers and artists, to craft and test curricula that goes beyond simply telling the artists' stories, but allows elementary students to be active participants in those stories through crafting. The class also explored how crafting can be a tool of expression, liberation, and learning. Reflecting on the theoretical underpinnings of their thoughts and the lessons they learned along the way, this article is a reflection on the class's experiences and suggestions for how to read, make, and mend the world.
Women's health belief levels towards breast cancer: Example of three countries
Authors: Yıldız Metin , Elkoca Ayşe , Gomes Roseline Florence , Yıldırım Mehmet Salih , Yılmaz Dursun Alper , Solmaz Ebru , Dege Gökhan , Tanimowo Abraham , Atay Mehmet Emin
Published: June 2023

Objective: This research aims to compare the health belief levels of women towards breast cancer by country.

Material and Methods: This cross-sectional study was conducted with 431 women living in Turkey, Nigeria and India between December 2021 and April 2022 in order to examine the health belief levels of women towards breast cancer.

Results: In our study, the mean score of Sensitivity Perception of individuals was 7.10±3.30, Caring/seriousness perception 17.02±5.91, Health motivation 21.09±3.65, BSE self-efficacy 31.28±12.34, BSE benefits 15.40±4.07, BSE barriers 21.38±6.40, Mammography benefits 18.76±4.62, and Mammography Barriers was 29.15±9.65. A significant difference was found in all sub-dimensions of the participants in the study, except for the mammography barriers, which are among the sub-dimensions of health beliefs about breast cancer (p<0.05).

Conclusion: It was determined that all sub-dimensions of the participants in the study differed, except for the mammography barriers, which are among the sub-dimensions of health belief towards breast cancer.
Association between sexual dysfunction, self-esteem and sexual satisfaction in women
Authors: Avcı Corc , Aygün Olgu , Güldal Dilek
Published: June 2023

ABSTRACT

Backround: The main purpose of this study is to investigate the relationships among female sexual dysfunction, self-esteem and sexual satisfaction.

Method: The participants of the study were 321 women who applied for any sexual disorders to the Polyclinics of Gynecology of y Education and Research Hospital, x, Turkey. Their age ranged from 18 to 56. The participants completed a personal information form prepared by researcher, the Coopersmith Self-esteem Inventory developed by Stanley Coopersmith (1986) and the Golombok-Rust Inventory of Sexual Satisfaction validated by Tuğrul (1988).

Results: The results indicated that female sexual dysfunction (FSD) and self-esteem were moderately negatively correlated (r= -.598, p<.01). FSD and sexual satisfaction were strongly positively correlated (r= .712, p<.01). Sexual satisfaction and self-esteem were moderately negatively correlated (r= -.472, p <.01). These findings reveal that the higher sexual dysfunction women have the less self-esteem they have and the less sexual satisfaction they experience.

Conclusion: With the proper treatment of sexual dysfunction and interventions for improving the self-esteem, women can evaluate themselves in a more positive way and become more sexually satisfied. Thus, it is very significant to teach sexuality in a correct way and to increase sexual education and awareness among women.
Analyzing the quality and reliability of educational content in laparoscopic hysterectomy videos on Youtube
Authors: Öztürk Emine
Published: June 2023

Objective: The aim of this study was to evaluate the quality, reliability, and usefulness of laparoscopıc hysterectomy videos on YouTube.
Methods: A search was conducted on YouTube using the keyword " laparoscopıc hysterectomy". The search results were limited to the first 400 videos. 330 videos that met the inclusion criteria were examined. Viewer parameters such as likes and dislikes, total views, comments, and sources were evaluated. The educational content of the videos was evaluated using the Global Quality Score. Additionally, the popularity of the videos was evaluated using the Video Power Index. Upload sources were categorized as academic institutions and individual users.
Results: Group 1 (low and medium quality videos) had 234 (70.9%) videos and group 2 (good and excellent quality videos) had 96 (20.1%) videos. The average views, likes, and comments in group 1 were 20589±23552 , 86±113 , and 28±31, respectively, while in group 2, they were 25571±24541 , 174±198 , and 49±42 , respectively. When the two groups were compared, no correlation was found between the length and quality of the videos.There was no difference between the groups in terms of the number of dislikes Additionally, the VPI values in group 2 were statistically higher than those in group 1 (p = 0.003).
Conclusion: Only 20.1 % of laparoscopıc hysterectomy videos on YouTube are of good and excellent quality, indicating that a significant portion of videos providing laparoscopıc hysterectomy education are inadequate.
Habilidades comunicativas del idioma inglés para la enfermería
Authors: Bravo Díaz Rosa Elena , Dueñas Sayaverde Isaias Wilmer , García Calderón Oscar Martín , Olazábal Saldaña Jorge Luis , Alcántara Villanueva José Manuel
Published: June 2023

Este libro titulado habilidades comunicativas del idioma inglés para la enfermería, es el resultado de una investigación de nivel doctoral, desarrollado con la colaboración de estudiantes de enfermería, con la finalidad de determinar sus competencias comunicativas en el idioma inglés y así mismo aportar con una estrategia denominada “Habilidades Comunicativas”. Investigaciones como esta son relevantes y útiles ya que contribuyen y facilita la participación y la colaboración en la construcción y edificación de conocimientos precisos. Desde el ángulo social es relevante porque viabiliza la aplicación de herramientas didácticas en el proceso de enseñanza aprendizaje que el docente desarrolla para que el educando se beneficie y pueda desarrollar y mejorar de la producción oral en el idioma inglés en toda la formación integral que reciben los estudiantes de enfermería técnica. El modelo teórico de este estudio científico aporta el modelo interactivo comunicativo de contenidos para la producción oral de la asignatura de Inglés Técnico de Enfermería en los estudiantes dentro de su contexto socio comunicativas, que tiene como propósito aplicar una estrategia de habilidades comunicativas enfocada en un modelo interactivo comunicativo en el proceso de enseñanza aprendizaje. Este trabajo ha sido elaborado, adecuado y contextualizado por profesionales con grado doctoral en educación del nivel primaria, secundaria y superior en la cual comparten sus conocimientos y experiencias pedagógicas en la enseñanza aprendizaje con estudiantes basadas en las habilidades comunicativas en el aula. El autor especialista en la enseñanza del idioma inglés se centra en las diferentes teorías, enfoques, el aporte de la estrategia con carácter científico y en un modelo interactivo y contextualiza este trabajo en la enseñanza aprendizaje del idioma inglés en el nivel superior con fines específicos en la enfermería, cuyo propósito radica en el impacto de la estrategia de habilidades comunicativas, indispensables para la solución de problemas en la producción oral del idioma inglés, propiciando particularmente en los alumnos del nivel superior una preparación altamente eficiente y competente en medio de la globalización donde el inglés predomina en muchos países del mundo.
About books and people: how the ideas of some of my books were born and how they came to life
Authors: Чибиров Л.А.
Published: June 2023

О книгах и людях

About books and people
Comprehension of the topic of repression by the south ossetian artist Khsar Gassiev
Authors: Гассиева М.А.
Published: June 2023

Анализируется цикл картин современного югоосетинского художника Х.И. Гассиева, в которых он осмысляет политические репрессии 1937–1938 гг. Под волну «большого террора» на юге Осетии попали родители художника, он осуждает это социальное явление тоталитарного государства. Произведения Х. Гассиева стали реалистическим отображением трагических событий советского времени

The cycle of paintings by contemporary South Ossetian artist Kh.I. Gassiev, in which he comprehends the political repressions of 1937–1938. The artist's parents fell under the wave of "great terror" in South Ossetia, he condemns this social phenomenon of a totalitarian state. H. Gassiev's works have become a realistic reflection of the tragic events of the Soviet era.
Historical and cultural monuments of antiquity and the Middle Ages near the village of Dzivgis in the Alagirsky district of the Republic of North Ossetia-Alania
Authors: Чшиев В.Т.
Published: June 2023

В статье рассматриваются памятники средневековой архитектуры и древних и средневековых археологических объектов, расположенных у с. Дзивгис в горной части Алагирского района в Республике Северная Осетия-Алания. Расположенный в выгодном с точки зрения фортификации средневековый Дзивгисский оборонительный комплекс играл в прошлом важную роль в защите населения Куртатинского ущелья от нашествий неприятеля, а также в контроле над караванами, двигавшимися через эту теснину к перевалам Главного Кавказского хребта.

The article examines the monuments of medieval architecture also ancient and medieval archaeological sites located near the village of Dzivgis in the mountainous part of the Alagirsky district in the Republic of North Ossetia – Alania. Located in an advantageous position from the point of view of fortification, the medieval Dzivgis defensive complex played an important role in the past in protecting the population of the Kurtatinsky Gorge from enemy invasions, as well as in controlling caravans moving through this gorge to the passes of the Main Caucasian Ridge.
V.F. Miller and M.K. Gardanov: scientific relations in the field of Ossetian studies
Authors: Гостиева Л.К.
Published: June 2023

В статье освещаются научные связи выдающегося русского ученого В.Ф. Миллера с просветителем, учителем, известным собирателем дигорского устного народного творчества и этнографических материалов М.К. Гардановым (М. Гарданти). Проанализированы четыре письма М.К. Гарданова к В.Ф. Миллеру из фондов Российского государственного архива литературы и искусства (РГАЛИ). Указано на участие М.К. Гарданова в работе над переводом фольклорных текстов для будущего сборника «Дигорские сказания по записям дигорцев И.Т. Собиева, К.С. Гарданова и С.А. Туккаева», с переводом и примечаниями В.Ф. Миллера. Отмечено участие М.К. Гарданова в работе над «Осетинско-русско-немецким словарем» В.Ф. Миллера

The article highlights the scientific ties of the outstanding Russian scientist V.F. Miller with the educator, teacher, famous collector of Digor oral folk art and ethnographic materials M.K. Gardanov (M. Gardanti). Four letters of M.K. Gardanov to a scientist from the funds of the Russian State Archive of Literature and Art (RGALI) are analyzed. It is indicated that M.K. Gardanov participated in the work on the translation of folklore texts for the future collection "Digor legends based on the records of Digor residents I.T. Sobiev, K.S. Gardanov and S.A. Tukkaev", with translation and notes by V.F. Miller. M.K. Gardanov's participation in the work on the "Ossetian-Russian-German dictionary" by V.F. Miller was noted
Memahami Konsep Hak Asasi Manusia Dalam Perspektif HAM Internasional dan Nasional
Authors:   Sekolah Tinggi Ilmu Hukum Biak-Papua, Djamaludin Djamaludin , Anwar Iryana ,   Sekolah Tinggi Ilmu Hukum Biak-Papua
Published: June 2023

Buku ini disusun dengan cara yang mudah dipahami dan dikemas dengan informasi yang relevan, termasuk sejarah perkembangan HAM, prinsip-prinsip dasar HAM internasional, serta peran HAM dalam konteks nasional. Selain itu, buku ini juga mengupas beberapa isu kontemporer yang terkait dengan hak asasi manusia, seperti perlindungan hak perempuan dan anak, hak minoritas, hak lingkungan, serta hak asasi pekerja imigran. Dengan mempelajari konsep hak asasi manusia secara komprehensif, pembaca diharapkan mampu memahami pentingnya menghormati hak asasi manusia dalam setiap aspek kehidupan, termasuk dalam kebijakan publik, kehidupan sosial, dan hubungan internasional. Semoga buku ini dapat memberikan manfaat dan inspirasi bagi pembaca.
Privasi Informasi Pribadi Pegawai dalam E-Government: Memperkuat Perlindungan Hukum di Indonesia
Authors:   Institut Ilmu Sosial dan Ilmu Politik Yapis Biak, Nurrokhmah Luluk Endang
Published: June 2023

Perlindungan privasi informasi pribadi PNS menjadi sangat penting dalam menjaga kerahasiaan informasi yang dimiliki oleh setiap PNS. Hal ini diperlukan untuk mencegah informasi tersebut diketahui oleh pihak yang tidak berhak atau tidak berkepentingan. Oleh karena itu, penelitian dalam bidang ini sangat penting untuk mengetahui dasar perlindungan hukum atas privasi informasi pribadi pegawai negeri dalam penyelenggaraan e-Government di Indonesia. Dalam buku ini, difokuskan pada perlindungan hukum atas informasi pribadi pegawai negeri dalam konteks Hak Asasi Manusia dan akibat-akibat hukum yang ditimbulkan dari pelanggaran terhadap informasi pribadi pegawai negeri. Sebagai informasi, Hak Asasi Manusia merupakan hak yang diberikan kepada setiap individu tanpa terkecuali, termasuk hak atas privasi dan informasi pribadi. Oleh karena itu, penting untuk memastikan bahwa hak-hak ini dijamin dan dilindungi dalam setiap kebijakan pemerintah terkait e-Government.
Otoritas Keuangan di Indonesia
Authors:   Sekolah Tinggi Ilmu Ekonomi Port Numbay Jayapura, Agustinus John
Published: June 2023

Buku referensi ini akan menjelaskan tentang teori dasar tentang struktur keuangan public di Indonesia serta sebuah teori-teori dasar tentang keuangan di Indonesia. Pengelolaan keuangan di Indonesia dibedakan menjadi dua dasar pemahaman yaitu pengelolaan keuangan perbankan dan pengelolaan keuangan non perbankan. Maka buku refrensi ini menjelaskan bagaimana otoritas keuangan di Indonesia.
Metal Ion Containing Anti-Bacterial Gel: An Overview
Authors: Chauhan Ankit Singh , Kumar Ashwani , N Trilochana
Published: June 2023

The antibacterial properties of metal ions like copper and zinc sulfate have been investigated for skin infections occur commonly and often present therapeutic challenges to researchers due to the growing concerns regarding multidrug-resistant bacterial, viral, and fungal strains. However, the synergistic activity between these two metal ions as antimicrobial ingredients has not been evaluated in topical formulations. Formulation of the gels and creams was followed by evaluating their organoleptic characteristics, physicochemical properties, and in vitro antibacterial activity against Escherichia coli and Staphylococcus aureus. Zinc sulfate and copper sulfate had a strong synergistic antibacterial activity in the creams and gels. In this paper evaluated and confirmed the synergistic in vitro antibacterial effect of copper sulfate and zinc sulfate in a cream and gels.
Hz. Peygamber'in Hz. Âişe'nin Kişilik Gelişimine Katkısı
Authors: BARLAK Yasemin
Published: June 2023

Hz. Peygamber’in sünnetinin ve İslam hukuk kaidelerinin toplumda belirginleşmesi daha çok hicretten sonra gerçekleşmiştir. Hz. Peygamber Hz. Âişe ile bu dönemde yuva kurmuş, bu vesileyle Hz. Âişe İslam hukukunun ve sünnetin detayları ile birlikte öğrenilmesine büyük katkı sağlamıştır. O, Hz. Ebû Bekir’in kızı olduğu için karakter bakımından çok güçlü ve aynı zamanda kültürlü bir insandı. Bununla birlikte Hz. Peygamber’in henüz onun küçüklüğünden itibaren yetişmesine dikkat etmesi, evliliği sonrasında güvenli ve destekleyici bir aile ortamı sağlaması, birlikte kaliteli zaman geçirmeye özen göstermesi ve toplum içinde saygınlık kazanması için gerekli imkanları hazırlaması Hz. Ayşe’yi kişilik olarak geliştirmiş, eşinin vefatından sonra onun İslam toplumunda dinî bir otorite olmasını beraberinde getirmiştir. Rasûlullah’ın Hz. Âişe ile ilişkileri bizlere aynı zamanda ideal bir eş örneği sunmaktadır. Bu makalede Hz. Peygamber’in Hz. Âişe ile evlilik süreci ve evlilik sonrası ilişkileri Hz. Âişe’nin kişilik gelişimine etkisi açısından incelenmektedir.
SIKAP DAN EFIKASI DIRI LANSIA BERHUBUNGAN DENGAN KEAKTIFAN KUNJUNGAN POSBINDU PADA PENDERITA HIPERTENSI DI WILAYAH KERJA PUSKESMAS SIDOHARJO SRAGEN
Authors: Orchida Tidi , Mulyaningsih Mulyaningsih
Published: June 2023

Introduction: The elderly population continue to increase. Health is a state of health, both physically, mentally, spiritually, and socially that allows everyone to live a socially productive life. HypertFDXCension is a major health problem in developed and developing countries, hypertension is a non-communicable disease and is the number one cause of death globally
Objectives: To determine the effect of the relationship between attitudes and self-efficacy with the activeness of posbindu visits to patients with hypertension in the working area of ​​the Sidoharjo Health Center, Sragen
Methods: This type of research was quantitative, this research method used cross sectional. Sampling of 65 respondents. The research instrument used a closed questionnaire. Data analysis using Chi square test.
Results: The results showed a positive relationship between self-efficacy and activity with p value 0.013 with an OR value of 10.6. Attitude and activity also show a positive relationship as evidenced by the p value of 0.005 and the OR value of 21.6
Conclusions:  There was a significant relationship between attitude and self-efficacy with the activeness of Posbindu visits in patients with hypertension in the work area of ​​the Sidoharjo Health Center, Sragen.
GAMBARAN TINGKAT PENGETAHUAN IBU TENTANG PEMBERIAN MPASI PADA BAYI USIA 6-12 BULAN
Authors: Safitria Heni , Mulyaningsih Mulyaningsih
Published: June 2023

Background: MPASI is a food introdued to infants at 6 months of age to meet their nutritional needs. According to Indonesia hralth demography surveys beby who reeive 0-1 months 9,6%, at 2-3 months at 16,7%, and 4-5 months at 43,9%.

Objective : Find out the level of mother’s knowledge about giving weaning food to baby aged 6-12 months.

Methods: Descritive research. The sampling technique with total sampling of 37 mothers in Pengkol village.

Results: The results of the univariate show the respondents characteriate as folloe some mothers had graduated in hight school (62,2%), aged 20-35 years (81,1%), woeked as housewife (62,2%), and the level of mother’s knowledge in medium category (78,4%).

Conclusion : The research showed that the level of mother’s knowledge about giving weaning food to beby is medium (78,4%)
GAMBARAN BEBAN KERJA PERAWAT PADA MASA PANDEMI COVID-19 DI RUMAH SAKIT UMUM DAERAH PANDAN ARANG BOYOLALI
Authors: Dilantari Erliana , Sari Dewi Kartika
Published: June 2023

Introduction: during the COVID-19 pandemic nurses will sacrifice themselves to actively participate in their work against the COVID-19 pandemic. Due to the increasing number of confirmed cases and the number of deaths due to COVID-19, nurses are urgently needed in a hospital as someone who is professional in an effort to provide nursing care to patients with varied work demands. The emergency measures taken by the Hospital to continue to safely treat COVID-19 and non-COVID-19 patients have an impact on changes in the work, initial schedule and work patterns of nurses, which can lead to an increase in the workload of nurses

Objectives:  knowing the description of the workload of nurses during the COVID-19 pandemic at the Pandan Arang Regional General Hospital, Boyolali

Methods:  this research is a descriptive research with a cross sectional approach. Sampling using purposive sampling method with a sample of 60 respondents. The research instrument is a questionnaire. Data analysis used univariate statistical test

Results:  during the COVID-19 pandemic, the majority of nurses had a heavy workload (58.3%) and some nurses had a moderate workload during the pandemic (41.7%)

Conclusions:   during the COVID-19 pandemic nurses had a hard work
Development of a Microcontroller-Based Contact Tracing System
Authors: Gonzales Marc Ramde C. , Palaruan Adrian Paul A. , Campus Jan Keith D. , Lagdao Jurgen Jan L. , Empizo Sean Ernest S.
Published: June 2023

Since the first case of Covid-19 detected in 2019, national governments pursued to implement lockdowns and contact tracing programs to minimize the spread of the disease. Most contact tracing procedures, no matter how varied from one country to another, commonly leaned towards digital methods that made use of modern technology. Such was not the case however in the Philippines as the masses are barely able to cope with the available contact tracing scheme that requires internet connectivity. Rated as one of the countries with the slowest and most expensive internet service, most of its citizens still resort to the traditional pen-and-paper approach when registering for contact tracing upon entry in establishments. Guided by prototyping methodology, the research ventured in the development of a microcontroller-based contact tracing system that allows the participation of establishment visitors even without internet access. The system called ConTACTS, which is short for contact tracing using automated collection and tracking system, is made up of a deployable unit and a central database. The deployable unit was designed to be able to accept mobile number registrations of establishment visitors and transmit timestamped data to the central database. The design of the central database was aimed at its successful integration with a website to enable contact tracer access. The developed deployable unit features the Arduino Nano as a central hub interfacing an LCD screen, a keypad, a buzzer, a USB adapter and a GSM module. WampServer was used to develop the central database. The system was tested in terms of the ability of the deployable unit to send a confirmation message to each establishment visitor and transmit timestamped data to the central database. The overall success rate of confirmation message sending was found to be 95.86%. The device is also immaculately able to send data to the central database in an average time of 3.15 seconds so long as the device has data access.
A LEI DE LICITAÇÕES BRASILEIRA E A RESPONSABILIZAÇÃO DOS AGENTES FRAUDADORES
Authors: Rodrigues Mendes Marcos , José Jacometti da Silva Cyro
Published: June 2023

O presente trabalho visa dispor sobre o retrospecto histórico da lei de licitações no Brasil, bem como trata sobre sua importância para a administração pública e brevemente, sobre suas modalidades. Todavia, o foco central do estudo é tratar sobre a responsabilidade dos agentes públicos ao confrontarem os princípios e normas da lei de licitações. Para tal, foram tratados diversos aspectos relacionados à responsabilização dos agentes públicos, incluindo a responsabilização civil, penal e administrativa. Foram abordados também crimes comuns em licitações, como o peculato, a corrupção passiva e ativa e a fraude à licitação. Em resumo, o trabalho visa ressaltar a importância da transparência, da ética e da integridade na gestão dos recursos públicos, bem como a necessidade de adotar medidas efetivas para prevenir e combater a corrupção e outras irregularidades em licitações e contratos administrativos.
Şerif el-İdrisi, Kral Roger, Kitabu’r Rucar ve Tabula Rogeriana Üzerine
Authors: TANRIKULU Murat
Published: June 2023

Şerif el-İdrisi, Orta Çağ Batı İslam geleneğinin en önemli temsilcilerinden biridir. Kendinden önceki İslam coğrafyacılarının aksine çalışmalarında Batlamyus’u örnek almış ve haritalarında yedi iklimi olduğu gibi gösteren tek Müslüman bilim insanı olmuştur. Batı kaynaklarını ve özellikle Batlamyus’u çok iyi bilen müellif aynı zamanda İslam coğrafya eserlerini de takip edebilmiştir. Irak ve Belh coğrafya okulu müelliflerinin eserleri, Halife Me’mun dönemi eser, çeviri eser ve haritaları ile Türk bilim insanlarının çalışmaları bunlar arasındadır. Bu anlamda müellif, hem Batı hem de Doğu kaynaklarını oldukça iyi etüt etmiş bir bilim insanıdır. Ortaya koyduğu eser ve çizdiği haritalar da bunun doğru bir yansıması olarak her iki kültür çevresinin sentezi durumundadır. Onu döneminin en önemli coğrafyacıları arasına sokan da açık bir biçimde bu özelliğidir. Eserinde yer verdiği dünya haritası, İslam anlayışına uygun olarak güneye dönüktür. Tüm ökümen ve anökümen alanlar hem Hristiyan hem de İslam kutsal topraklarının çevresinde yer alır. İdrisi haritaları, kıyı şekilleri bakımından diğer İslam coğrafyacılarının haritalarına oranla daha ayrıntılıdır. Bununla birlikte girinti ve çıkıntıların gösteriminde detaylandırmaya gitmemiş, böylece birebir suretten de kaçınmıştır. İdrisi, eserini Sicilya’da, Kral Roger’ın sarayında ve onun desteğiyle kaleme almış, bitirdiğinde de ona atfetmiştir. Makalenin konusunu eserin yazılış süreci ve eserle hedeflenen amaçlar oluşturmaktadır. Yöntem olarak doküman analizi ve hermeneutikten yararlanılmıştır.
KİMLİĞİN MEKÂNSAL PORTRESİ
Authors: ÜNLÜ Samet
Published: June 2023

Kimlik sosyolojinin en canlı ve gündemde kavramlarından birisi olarak düşünülebilir. Kimliğe canlılık veren özellik kimliğin sürekli yeni biçimsel formlar kazanmaya müsait bir yapıyla varlık bulması, gündemde olmasını sağlayan şey ise sosyolojinin ve insanı merkezine alan her disiplinin araştırmalarında kimliğin diğer olgularla olan sınırsız bağlantılarıdır. Bir kavramı diğer tüm kavramlardan bağımsız olarak ele alabilmenin şartlarını oluşturduğumuzda bile doğrudan veya dolaylı olarak kimliğe dair atıflarda bulunmak olasıdır. Bu açıdan mekâna dair olan her şey kimliksel temellerin bir yansımasıdır. Mekânın fiziksel bir organizasyon olarak nasıl yapılandırıldığı ve mensupları tarafından barındırdığı sosyolojik anlamlar aslında bir kimlik realitesinin dışavurumundan başka bir şey değildir. Dolayısıyla mekân kimlikten ayrı bir şekilde kurgulanamaz. Her mekân bir kimlik politikasına karşılık geldiğinden, mekânın müdavimleri de bu kimlik politikasının aktörleri olarak mekânlarda varlık gösterirler. Varlık gösteren bireylerden veya kolektiflerden çok mekânsal kimliklerdir. Mekânsal kimlikler aynı mekânın üyeleri açısından düşünüldüğünde bir ortak paydaya yani kimliğin benzerlik yönüne, bir başka mekânın üyeleri açısından bakıldığında ise ayrışmaya yani kimliğin farklılık yönüne gönderme yapmaktadır.

Bu çalışmada ilk etapta kimlik ve mekân kavramlarının sosyolojik eksende nasıl ele alındıklarına değinilecek ardından mekân ve kimlik etkileşimlerinin boyutları tartışılacaktır. Daha sonra mekân-kimlik etkileşiminin getirdiği önemli bir sosyal sorun olarak mekânsal ayrışma olgusu tartışılacak ve konuya ilişkin genel bir değerlendirme yapılacaktır.
Brute Force Attacks Detection on IoT Networks using Deep Learning Techniques
Authors: Shubham A. Shirodkar
Published: June 2023

The Internet of Things (IoT) sector is expanding quickly, and its applications are becoming more prevalent in our day-to-day lives. Various protocols are used to control communication between IoT devices. The Message Queue Telemetry Protocol (MQTT), a simple and trustworthy communication protocol, is a well-known illustration of these protocols. However, MQTT-IoT networks have been the target of cyberattacks, which highlights the need for an effective intrusion detection system for spotting such attempts. The brute force attack is a common sort of such attacks. We suggest deep learning in this study as a means of automatically identifying brute force assaults on MQTT-IoT networks. We train the deep learning model with a large number of instances and a flow-based feature using the MQTT-IoT-IDS2020 dataset. With more than 99% accuracy in differentiating between regular and brute force attacks, the classification model is quite accurate in detecting such attempts
A Study on Impact of Social Commerce on Customer Purchase Intention
Authors: Dr. V Kanimozhi  , Sameera K C
Published: June 2023

This project aims to investigate the impact of social commerce on customer purchase intention. Social commerce refers to the utilization of social media platforms and social interactions to facilitate online shopping and influence consumer buying behavior. With the increasing popularity of social media and the rise of e-commerce, understanding the relationship between social commerce and customer purchase intention has become crucial for businesses to develop effective marketing strategies. This project will employ a combination of quantitative research methods, including surveys and data analysis, to explore the factors influencing customer purchase intention in the context of social commerce. The findings will provide valuable insights for businesses looking to leverage social media platforms to enhance customer engagement and drive sales.
A Review on Current Applications of Artificial Intelligence in Medical Field
Authors: Karnam Vanishya Krishna  , K. Uma
Published: June 2023

Artificial Intelligence is a powerful and revolutionary discipline of computer science that has the potential to radically transform medical practise and healthcare delivery. Artificial intelligence (AI) is the intelligence displayed by machines that can aid in the performance of various tasks via sentiment analysis and natural language processing (NLP). Using past data and information, this technology allows machines to learn on their own. When it comes to equipping computers, AI is a subset of machine learning and deep learning, each of which has its own set of tasks. In medical research, artificially intelligent computer systems are commonly used. Patient diagnosis, end-to-end drug discovery and development, enhancing physician-patient communication, transcribing medical documents such as prescriptions, and remotely treating patients are all common applications. We outline current developments in the application of AI in healthcare in this review paper, applications of AI in different medical specialization, and assess the probable future direction of AI-augmented healthcare systems
Palm Print Database Collection System
Authors: Miss. Shivani Dhapatkar  , Miss. Suvarna Thorta  , Miss. Gauri Bharte  , Prof. N. D Kapale
Published: June 2023

Contactless biometric palm print recognition technology has attracted increased attention due to the covid-19 pandemic. Many dual camera based sensors have been proposed to capture palm vein and palm print image synchronously. However, translations between captured palm print images differ depending on the distance between the hand and the sensor. A biometric palm image Alignment method is proposed based on the imaging and ranging model. A palm print refers to an image acquired of the palm region of the hand. Palm print image enhancement is required for better feature extraction. To extract fine features enhancement is required. Fine features increase the accuracy of palm print recognition system. The main purpose of this review paper is to study and compare various palm print recognition techniques in terms of performance, accuracy, overheads and Peak Signal to Noise Ratio (PSNR)
Utilizing Machine Learning for Intrusion Detection Systems in the Context of Cloud Computing
Authors: Mohammed Akif  , Anuj Nakka  , Solanki Prakash  , Vijay N  , Dr Suresh Kallam
Published: June 2023

The rapid advancements in the internet and communication sectors have led to a huge expansion in the network dimension and the related data. The proliferation of new assault kinds as a result makes it challenging for community safety to accurately identify invasions. Furthermore, the presence of intruders who want to launch a lot of attacks against the network cannot be ignored. An intrusion detection device (IDS) is one such instrument that protects against prospective intrusions by monitoring community communication to guarantee its confidentiality, integrity, and availability. IDS continues to struggle with innovative intrusion detection, lowering false alarm rates, and improving detection accuracy despite substantial research backing. An intrusion detection system's main job is to protect resources against threats. It predicts user behaviour based on analysis, and determines whether that behaviour constitutes an assault or is simply normal behaviour. We use Support Vector Machine (SVM) and Rough Set Theory (RST) to detect network breaches (SVM). Computer learning (ML) and Python-based total IDS systems are recently being employed to identify intrusions across the network in an ecologically friendly manner. The taxonomy presented in this article is mostly based on the impressive machine learning and Python approaches used to develop network-based IDS (NIDS) systems. The article begins by defining IDS.
A Comprehensive Evaluation and Comparative Analysis of Data Mining Techniques for Sentiment Analysis in Social Media
Authors: Sakhawia Kaleem Farogh
Published: June 2023

Sentiment analysis, also known as opinion mining, has emerged as a pivotal field in the realm of social media. With the exponential growth of user-generated content on various platforms, understanding and extracting sentiments have become essential for businesses and organizations. In this research paper, we embark on a meticulous journey, delving into a comprehensive evaluation and comparative analysis of various data mining techniques employed for sentiment analysis in social media. The primary objective of this study is to provide practitioners and researchers with valuable insights into the strengths, limitations, and performance metrics of these techniques. By conducting an extensive evaluation, we aim to shed light on the effectiveness of different data mining approaches in capturing sentiments accurately and efficiently. Furthermore, we explore the challenges and limitations associated with sentiment analysis in social media, addressing the intricacies involved in analysing the vast and dynamic landscape of user-generated content
Assessment of Satisfaction Level for Existing Public Transport Systems using Machine Learning: A Case of Bhopal (India)
Authors: Jaiswal Anuj
Published: June 2023

Most people are now highly dependent on private motorize travel because of the low Satisfaction level of public transit modes. This leads to poor public transit share in most of the cities in India. This study is intended to identifying the influencing parameters; those affect the satisfaction level of a PT mode, and also develop a model for assessing the Satisfaction Level of these public transport modes in Bhopal, India. A Machine Learning-based approach is used to analyze 1189 responses from the user. It classifies data in various dimensions that shape customers satisfaction among each mode of public transport (i.e. BRTS, Mini-Buses and Magic-Van service) and develops a model for evaluating the overall satisfaction of these PT modes in Bhopal. An On-board opinion surveys were done for identifying the parameters which influence the Satisfaction of these PT modes and also develop a model for evaluating the Satisfaction of these modes. Based on the literature, Delphi survey and opinion survey, eight parameters have been identified that influence the satisfaction level of these modes in Bhopal. Further by correlation matrix, most influencing parameters (key parameters) were considered amongst them for evaluating the satisfaction level for these modes. To determine the coefficient values acting from each of the respective elementary scores, we used a trained linear regression, multilinear regression, considering the classification of customers who assessed the performance of their satisfaction. This model will help to increase the Satisfaction of these PT Modes which result to increase the transit ridership in Bhopal. Adopted methodology in this study can help decision-makers to improve public transport services so that transit ridership can be improved.
Surrogate Safety Evaluation at Uncontrolled Intersection in Non-Lane Base Traffic Conditions
Authors: Singh Dungar
Published: June 2023

Every year, road accidents cost billions of dollars and injure millions of people around the world. The current study implements traffic conflict techniques to examine vehicular safety at three-arm uncontrolled intersections. The traffic conflict technique is designed to be proactive, not solely rely on crashes, and require shorter observation time periods to create acceptable safety assessments. Various surrogate safety measures based on spatial and temporal proximity between road users, like Post Encroachment Time (PET), Time to Collision (TTC), Deceleration Rate (DR), etc., are being used to study road safety. The study focused on crossing conflicts by right-turning and through traffic, as they are considered severe among other conflicts. PET and conflicting vehicle speeds in through traffic are used to determine critical conflicts. However, Delta V and Encroachment Time (ET) are taken as surrogate indicators to identify severity levels of through and right turning movements, respectively, using the clustering technique..
DETECTION OF CRACKLES AND WHEEZES IN LUNG SOUND USING TRANSFER LEARNING
Authors: Gulzar Hafsa , Li Jiyun , Manzoor Arslan , Rehmat Sadaf , Amjad Usman , Khan Hadiqa Jalil
Published: June 2023

In recent years, deep learning models have improved how well various diseases, particularly respiratory ailments, can be diagnosed. In order to assist in offering a diagnosis of respiratory pathologies in digitally recorded respiratory sounds, this research will provide an evaluation of the effectiveness of several deep learning models connected with the raw lung auscultation sounds in detecting respiratory pathologies. We will also determine which deep learning model is most appropriate for this purpose. With the development of computer -systems that can collect and analyze enormous volumes of data, the medical profession is establishing several non-invasive tools. This work attempts to develop a non-invasive technique for identifying respiratory sounds acquired by a stethoscope and voice recording software via machine learning techniques. This study suggests a trained and proven CNN-based approach for categorizing respiratory sounds. A visual representation of each audio sample is constructed, allowing resource identification for classification using methods like those used to effectively describe visuals. We used a technique called Mel Frequency Cepstral Coefficients (MFCCs). Here, features are retrieved and categorized via VGG16 (transfer learning) and prediction is accomplished using 5-fold cross-validation. Employing various data splitting techniques, Respiratory Sound Database obtained cutting-edge results, including accuracy of 95%, precision of 88%, recall score of 86%, and F1 score of 81 %. We trained and tested the model using a sound database made by the International Conference on Biomedical and Health Informatics (ICBHI) in 2017 and annotated by experts with a classification of the lung sound.
Improved Q-Reinforcement Learning based Optimal Channel Selection in Cognitive Radio Networks
Authors: Talekar Sopan , Banait Satish , Patil Mithun
Published: June 2023

Cognitive Radio Networks are an emerging technologyin forwireless communication. With increasing number of wireless devices in wireless communication, there is a shortage of spectrum. Also, due to thestatic allocation of channels in wireless networks, there is a scarcity of spectrum underutilization. For efficient spectrum utilization, secondary users dynamically select the free channel of primary users for the transmission of packets. In this work, the performance of routing in a cognitive radio network is improved by the decision of optimal channel selection. The aim of this work is to maximize the throughput and reduce the end-to-end delay. Therefore, an Improved Q-Reinforcement learning algorithm is proposed for the optimal channel selection during the packet routing between source and destination. The performance of this work is compared with the existing routing protocols. It is simulated in network simulator-2 (NS2) with Cognitive Radio Cognitive Network (CRCN) simulation. After performance evaluation, it is observed thatthe proposed work performs better than existing work with respect to packet delivery ratio, throughput, delay, jitter, control overhead, call blocking probability, packet dropping ratio, goodput and normalized routing overhead.
Evaluating Latency in Fifth-Generation Vehicle-to-Everything Communications using Adaptive Neuro-Fuzzy Inference System Model
Authors: Sayedahmed Hamdy A.M. , Elgamal Emadeldin M. , Hefny Hesham A.
Published: June 2023

The fifth-generation new radio technology (5G NR) introduces improved functions to the air interface. In addition, the 5G NR non-standalone (NSA) will operate with long-term evolution, enabling vehicle-to-everything communications (V2X) for improved infotainment services. V2X includes four main classes of communications: vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-pedestrian devices, and vehicle-to-network. However, the stringent transmission frequency, latency, and throughput requirements of infotainment applications constrain the transmitting packets of 5G-V2X-based NSA in highway scenarios. In this paper, the latency is improved by preventing the physical layer of gNodeB and the user equipment (UE) from sending redundant packets for service in a highway scenario. The proposed approach adopts an adaptive neuro-fuzzy inference system (ANFIS), a powerful modeling technique based on artificial neural networks ,and a fuzzy inference system. The performance of ANFIS is compared with that of the traditional 5G V2X NSA architecture in a simulation study using Voice over Internet Protocol (VoIP) traffic. The delays, throughputs, and packet losses of both architectures are determined in radio link control (RLC) and VoIP applications. The switch-modes, signal-to-interference-noise ratios (SINRs), hybrid automatic repeat request (HARQ) error rate, channel quality indicators (CQIs), served blocks, and transmission-state of gNodeB are computed for the two architectures for device-to-device (D2D), uplink (UL) and downlink (DL) traffic directions. The simulation results show comparable SINRs, CQIs, served blocks ,andswitchmodes in both scenarios, but the presented ANFIS model significantly outperforms the traditional architecture in delay by 66% in D2D, 29% in UL, 25% in DL, and packet loss by 21% in UL in RLC, the HARQ error rate by 9% in D2D, 30% in UL, 95% in DL, transmission-state in gNodeB by 29%, and the delay by 4% for UEs, and frame loss by 90%for UE in VoIP.
IoT-Based Mobile Adaptive Routing Algorithm in a Ubiquitous Network
Authors: G Prasanna Kumar , N Shankaraiah
Published: June 2023

Nowadays, there is a rapid increase in the population throughout the globe and causing more urbanization in the landscape. Advanced medical monitoring and disaster relief require more reliable, long-range communication, feasible, and high connectivity with increased accuracy. The Internet of Things (IoT) has revolutionized the way we interact with technology and has led to the emergence of a new class of interconnected devices. These devices rely on efficient and reliable networking to communicate with each other and with the outside world. The proposed work presents an IoT-based mobile adaptive routing algorithm (IOT-MARA) that is designed to work in a ubiquitous network, where a large number of devices are connected and can move around. The proposed algorithm is an adaptive algorithm that can adjust its routing decisions based on the current state of the network and the devices that are connected to it. The algorithm considers the mobility of devices and the dynamic nature of the network to select the most efficient path for data to travel. It also aims to minimize network congestion and improve overall network performance. Simulations are used to evaluate the IOT-MARA algorithm and the results show that it outperforms existing routing algorithms in terms of network throughput, delay, and energy consumption. The proposed algorithm is helpful in the field of ubiquitous networking because it addresses the challenges of mobility and dynamic network conditions during a fire mishap scenario. This research has implications for the design and deployment of Ubiquitous Networks for the development of future communication systems.
Enabling Ray Tracing for 5G
Authors: Ryzhov Vladislav
Published: June 2023

RT (Ray Tracing) models are widely used in RAN for channel modelling. Another possible application in processing chain of base station with multiple purposes: positioning, channel estimation/prediction, radio resources scheduling and others. In this paper RT positioning technique is addressed for Urban Outdoor scenario. Proposed robust approach achieves several meters accuracy even in NLOS and multipath conditions. Developed RT tracking was used for multiuser (MU) precoder prediction and demonstrated significant capacity gain. Also, this paper discloses practical aspects for achieving high accuracy.
HEART DISEASE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING
Authors: Kalla Dinesh , Chandrasekaran Arvind
Published: June 2023

Heart disease is most common disease reported currently in the United States among both the genders and according to official statistics about fifty percent of the American population is suffering from some form of cardiovascular disease. This paper performs chi square tests and linear regression analysis to predict heart disease based on the symptoms like chest pain and dizziness. This paper will help healthcare sectors to provide better assistance for patients suffering from heart disease by predicting it in beginning stage of disease. Chi square test is conducted to identify whether there is a relation between chest pain and heart disease cases in the United States by analyzing heart disease dataset from IEEE Data Port. The test results and analysis show that males in the United States are most likely to develop heart disease with the symptoms like chest pain, dizziness, shortness of breath, fatigue, and nausea. This test also shows that there is a week corelation of 0.5 is identified which shows people with all ages including teens can face heart diseases and its prevalence increase with age. Also, the tests indicate that 90 percent of the participant who are facing severe chest pain is suffering from heart disease where majority of the successful heart disease identified is in males and only 10 percent participants are identified as healthy. The evaluated p-values are much greater than the statistical threshold of 0.05 which concludes factors like sex, Exercise angina, Cholesterol, old peak, ST_Slope, obesity, and blood sugar play significant role in onset of cardiovascular disease. We have tested the dataset with prediction model built on logistic regression and observed an accuracy of 85.12 percent.