bluuebunny/crossref_metadata_2025 huggingface dataset:
ENDÜSTRİ 4.0’DA SENDİKAL STRATEJİLER: ALMAN METAL İŞÇİLERİ SENDİKASI (IG METALL)
Authors: Çelen Ali İhsan
Published: December 2024

Endüstri 4.0 bugüne kadar yaşanan endüstrileşme dalgalarına kıyasla çok daha esnek ve belirsiz üretim modellerini içermektedir. Sağladığı avantajlar yanı sıra birçok dezavantajı da beraberinde getiren bu değişim ve dönüşüm dalgasının şüphesiz en önemli etkilerinden biri çalışma hayatı üzerinde görülmektedir. Çoğunlukla çalışan sınıfının aleyhine olan bu durum sendikaların tarihsel rollerini daha da belirgin hale getirmiştir. Bu kapsamda Endüstri 4.0’ın merkezi konumunda olan Almanya ve Alman işgücü piyasasında en büyük temsil yeteneğine sahip IG Metall’in bu süreçteki stratejileri diğer sendikalar için başarılı bir örnek konumundadır. Buna göre yapılan çalışmanın amacını IG Metall özelinde, endüstri 4.0’a dolayısıyla yeni teknolojilere karşı yürütülebilecek sendikal stratejilerin belirlenmesi oluşturmaktadır. Çalışma değerlendirici örnek olay yönteminden hareketle IG Metall’in özellikle 2010 yılı sonrası faaliyetleri dikkate alınarak gerçekleştirilmiştir. Sonuç olarak endüstri 4.0’a karşı yürütülebilecek temel sendikal stratejiler şunlardır: Küresel işbirliği, güncelleme, genişleme, yönetime katılma, eğitim ve geliştirme, sosyal diyalog ve grev. Bu süreçte pragmatist, reformist, doktriner gibi belirli bir düşünce akımına yoğunlaşma yerine daha karma stratejilere yoğunlaşan IG Metall’in bu rolü, yaşanan endüstrileşme dalgasının tahmin edilenden çok daha karmaşık, hızla, kapsamlı, esnek, güvencesiz ve belirsiz olmasından kaynaklanmaktadır
تحليل القوة الانفجارية لضربة المجداف لللاعبين النخبة بالتجديف في العراق
Authors: اياد عبد اللطيف علي
Published: December 2024

نتيجة تطور التقنيات الحديثة المساعدة من اجهزة وادوات اصبح لزاما استثمار التطور العلمي والتقني لأغراض التحليل الحركي ومعرفة مستوى اداء المهارات والحركات ومنها ضربة المجداف التي تعتمد على الاداء بجزئين احدهما (فوق الماء) كجزء غير مغمور والثاني (تحت الماء او ملامس له) كجزء مغمور  بالاعتماد على وضعية جسم واداء الرياضي (المجدف) باستخدام الاداة (المجداف) ، اهمية الدراسة تعتمد في قياس المتغيرات وتحليلها من سرعة وزمن وزاوية قياس قوة انفجارية على مفاصل الجسم المهمة التي يعتمدها المجدف لحظة اداء الانطلاق للوصول الى قمة الحركة ، استخدم الباحث المنهج الوصفي بأسلوب العلاقات الارتباطية ,     تم اختيار عينة البحث بالطريقة العمدية من لاعبي النخبة ضمن المنتخب الوطني العراقي للتجديف لعام 2022 وعددهم (5) من مجتمع البحث البالغ عددهم الكلي (8) لاعبين , وتم اختيارهم بالطريقة العمدية , واستنتج الباحث ان قيم المتغيرات البايوكينماتيكية  لزمن الكلي للجدفة كانت بالاتجاه المعنوي , فضلا عن المتغيرات البايوميكانيكة للقوة الانفجارية من حيث الزمن وطول السحبة ايضا بألاتجاه المعنوي , وكانت العلافة بين المتغيرات كانت ايجابية لما لزمن الجدفة الانفجاري وطولها الاثر على الزمن الكلي على الجدفة والاداء والانسيابية , ويوصي الباحث التأكيد على البحث المستمر في المتغيرات البايوكينماتيكية لما لها الاثر الكبير في الكشف عن مكامن القوة والضعف للاعبي التجديف لان اساس الجدفة عبارة زوايا وامتدادات وقوى مسلطة على الماء وخارج الماء . وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (التعليم الجيد).
دور الرفاهة النفسية في خفض ضغوط المنافسة للاعبي جمناستك الأجهزة الشباب
Authors: بيداء طارق عبد الواحد
Published: December 2024

هدف البحث إلى بناء مقياسي الرفاهة النفسية وضغوط المنافسة للاعبي جمناستك الأجهزة الشباب، والتعرف على مستوى الرفاهة النفسية لدى لاعبي جمناستك الأجهزة الشباب، والتعرف على مستوى ضغوط المنافسة لدى لاعبي جمناستك الأجهزة الشباب، والتعرف على دور الرفاهة النفسية في خفض ضغوط المنافسة للاعبي جمناستك الأجهزة الشباب، لتكون فرضية البحث بإنه توجد علاقة إرتباط معنوية وإسهام وأثر لنتائج مقياس ضغوط المنافسة بنتائج مقياس ضغوط المنافسة لدى عينة البحث، وأعتمد المنهج الوصفي بإسلوب العلاقات الإرتباطية على عينة من لاعبي جمناستك الأجهزة الشباب للموسوم الرياضي (2023/2024) والموزعين بطبيعتهم على (15) مركزاً للجمباز في بغداد والمحافظات، البالغ عددهم (146) لاعباً، وأختيروا عمدياً جميعهم بإسلوب الحصر الشامل بنسبة (100%)، كما أختير منهم (6) لاعبين عشوائياً للعينة الإستطلاعية بنسبة (4.11 %) من المجتمع الأصل، كما أختير منهم (75) لاعباً عشوائياً لعينة بناء مقياسي البحث بنسبة (51.37 %) من المجتمع الأصل، والمتبقي منهم (65) لاعباً أختيروا لعينة تطبيق البحث الرئيسة بنسبة (44.521 %) من المجتمع الأصل، وبعد الإنتهاء من بناء المقياسين، تم إجراء المسح للمدة الزمنية من يوم (28/2/2024) ولغاية يوم (14/3/2024)، على طالبات لاعبي التطبيق، ومن ثم معالجة النتائج ألياً بنظام الحقيبة الإحصائية SPSS، لتكون الاستنتاجات بإن مقياسي الرفاهة النفسية وضغوط المنافسة بالجمناستك يصلحان لِما تم بنائهما من أجله ويلائمان لاعبي جمناستك الأجهزة الشباب ويتمتعان بالأسس والمعاملات العلمية لقبولهما في علم النفس الرياضي، ويتوافر لدى لاعبي جمناستك الأجهزة الشباب مستوى من الرفاهة النفسية لتمكينهم من خفض ضغوط المنافسة، وتسهم زيادة مستوى الرفاهة النفسية في خفض مستوى ضغوط المنافسة بالجمناستك بعلاقة أرتباط تنحدر خطياً في زيادتها الطردية والأثر الإيجابي، أما التوصيات فكانت بإنه لابد من زيادة أهتمام مدربي الجمناستك بتهيئة البيئة التدريبية الملائمة لرفع مستوى الرفاهة النفسية لدورها وإسهامها وأثرها الإيجابي خفض مستوى ضغوط المنافسة لدى لاعبي جمناستك الأجهزة الشباب، ولابد من الأهتمام بمتابعة قياس كل من الظاهرتين المتضادتان المبحوثتين للاعبي جمناستك الأجهزة الشباب بالقياس النفسي الدوري واعتماد مقياسي البحث الحالي في هذا القياس التتبعي، ومن الضروري عدم المبالغة في فرض مهام تدريبية عالية لاعبي الجمناستك وتقليل الضغط عليهم وعدم إجهادهم، والعمل على دعم ثقتهم بإنفسهم لتجنب ارتفاع ظاهرة ضغوط المنافسة لدى لاعبي جمناستك الأجهزة الشباب. وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (التعليم الجيد).
Useful Synthetic Polymer of N-vinylpyrrolidone, Its Properties and Applications
Authors: Michálek Jiří , Dušková Smrčková Miroslava , Chylíková Krumbholcová Eva , Podešva Jiří
Published: December 2024

This contribution summarizes the present-state of knowledge on vinylpyrrolidone, its (co)polymers, crosslinked structures based on it, and offers a rich survey of various applications, with a special focus on (bio)medicine. A brief history of this material is also given. Methods of preparation and technical parameters of both vinylpyrrolidone monomer and its various polymers are described. Important data are presented in tables.
Вплив освіти на збалансованість ринку праці: практика ЄС
Authors: Дідух Н. М. , Корицька О. І.
Published: December 2024

Актуальність дослідження зумовлена важливістю оцінювання впливу рівня освіти на збалансованість ринку праці в умовах глобальних економічних змін, технологічного прогресу, посилення міграційних процесів у країнах–членах ЄС, зумовлених війною російської федерації в Україні. Аналіз залежності між освітою та показниками безробіття є цінним для розробки ефективних політик зайнятості та модернізації системи професійної підготовки трудових ресурсів. Метою дослідження є аналізування рівня безробіття, залежно від рівня освіти за країнами–членами ЄС і виявлення дисбалансів ринку праці. Із використанням статистичних методів аналізу рядів динаміки і розподілу визначено показники безробіття серед осіб із різними рівнями освіти на основі статистичних даних Eurostat за 2014–2023 роки. У статті обґрунтовано наявність значних дисбалансів ринку праці у країнах–членах ЄС. Найвищий коефіцієнт безробіття серед осіб із неповною середньою освітою (ISCED 0-2) зафіксовано в Іспанії, Італії та Швеції. Водночас, високий рівень безробіття серед осіб із вищою освітою (ISCED 5-8) є на Кіпрі, в Люксембурзі та Ірландії, що вказує на недостатню кореляцію між наявними у країнах освітніми програмами та реальними потребами економіки, бізнесу і роботодавців. Серед важливих причин безробіття виокремлено невідповідність професійних навичок потребам ринку, перенасичення ринку праці випускниками гуманітарних спеціальностей, економічні кризи, автоматизацію та аутсорсинг, соціальні бар’єри та еміграцію висококваліфікованих спеціалістів. Запропоновано шляхи подолання дисбалансів, зокрема розвиток співпраці між освітніми закладами та бізнесом, адаптацію освітніх програм до сучасних економічних умов, підтримку підприємницьких ініціатив серед випускників. Результати дослідження мають практичну цінність для формування ефективних урядових політик на ринку праці та оптимізації системи вищої освіти у контексті збалансування європейського ринку праці. Перспективами подальших наукових досліджень є визначення причинно-наслідкових зав’язків дисбалансів ринку праці з урахуванням регіональних особливостей країн-членів ЄС, а також розробка моделей прогнозування рівня зайнятості і безробіття на основі штучного інтелекту. За типом дослідження стаття є емпіричною.
Аудит, інновації та диверсифікація як інструменти управління ризиками та забезпечення безперервності діяльності підприємств агробізнесу
Authors: Альошин В. Є.
Published: December 2024

Підприємства агробізнесу відіграють важливу роль у забезпеченні продовольчої безпеки та економічного розвитку, але водночас зазнають значного впливу невизначеності зовнішнього середовища. У дослідженні систематизовано основні методологічні засади до забезпечення безперервності діяльності таких підприємств, зокрема управління ризиками, диверсифікацію, впровадження інноваційний технологій, фінансове планування та ефективне партнерство. Автор висвітлює основні проблеми та виклики, які постають перед підприємствами агробізнесу в сучасних умовах невизначеності, які включають в себе ризики кліматичних змін, коливання ринкових умов, економічні кризи та геополітичні конфлікти, епіцентром яких стала і Україна. Особливу увагу приділено ролі якісного зовнішнього аудиту фінансової звітності як ключового інструмента для зміцнення фінансової стійкості та підвищення довіри до фінансової звітності підприємств. Висвітлено, що в умовах нестабільності якісний зовнішній аудит дозволяє виявляти ризики та слабкі місця у фінансовій діяльності підприємств агробізнесу. Акцентовано увагу на тому, що завдяки прозорості фінансової звітності підприємства можуть зміцнювати довіру інвесторів, кредиторів і партнерів, що сприяє збереженню стабільності та доступу до фінансування. Аудит також забезпечує рекомендації для підвищення ефективності управління ресурсами, що є ключовим фактором у контексті адаптації до зовнішніх викликів. Визначено, що впровадження інтегрованих підходів до управління, таких як інноваційні технології, диверсифікація та цифровізація, дозволяє підприємствам адаптуватися до умов невизначеності та забезпечувати їх стійкий розвиток. У статті підкреслюється важливість комплексного підходу для забезпечення безперервності діяльності підприємств агробізнесу, зосередженого на системності, ефективності й прозорості процесів управління. Метою статті є формування методологічних засад, застосування яких зможе посприяти управлінському персоналу підприємств агробізнесу приймати зважені та ефективні управлінські рішення, які забезпечуватимуть безперервну діяльність підприємств агробізнесу в умовах невизначеності. На основі проведеного дослідження запропоновано набір з ключових засад, впровадження яких має бути пріоритетною ціллю для підприємств агробізнесу в умовах високого рівня економічної невизначеності.
Неформальна освіта: інноваційні інструменти професійної діяльності науково-педагогічних працівників ЗВО на основі штучного інтелекту
Authors: Калюжна Т. Г.
Published: December 2024

Неформальна освіта стає все більш важливою складовою освітнього процесу, допомагаючи науково-педагогічним працівникам і слухачам/студентам адаптуватися до нових викликів і вимог сучасного світу, розвивати свої навички та знання у зручний і ефективний спосіб. Завдяки використанню сучасних технологій та методик, неформальна освіта може бути інтерактивною та ефективною, сприяючи кращому засвоєнню знань і умінь. Інтернет та цифрові платформи відкривають доступ до знань з усього світу, дозволяючи використовувати найсучасніші матеріали та методики. Дана стаття присвячена питанням застосування інноваційних інструментів штучного інтелекту в професійній діяльності науково-педагогічних працівників ЗВО у неформальній освіті. Мета статті полягає у визначенні особливостей та обґрунтуванні доцільності застосування інноваційних інструментів штучного інтелекту у професійній діяльності науково-педагогічних працівників ЗВО у неформальній освіті. У дослідженні використовувалися емпіричні та теоретичні методи, метод узагальнення та аналізу, тестування з використанням GOOGLE-форми та таблиці дозволило отримати достовірні результати динаміки використання інноваційних інструментів штучного інтелекту у закладах вищої освіти. У статті наведено приклади використання інноваційних інструментів штучного інтелекту науково-педагогічними працівниками ЗВО, описано особливості та обґрунтовано доцільність застосування інноваційних інструментів штучного інтелекту у професійній діяльності науково-педагогічних працівників ЗВО у неформальній освіті. З допомогою таблиці унаочнено зростання використання різних інноваційних технологій у неформальній освіті науково-педагогічними працівниками закладів вищої освіти з 2019 до 2024 року. Доведено, що використання інноваційних інструментів професійної діяльності науково-педагогічних працівників ЗВО на основі штучного інтелекту підвищують ефективність навчального процесу, сприяють розвитку індивідуального підходу до навчання, оптимізують роботу викладачів та розширюють доступ до якісної освіти. Інноваційні інструменти штучного інтелекту є важливим кроком на шляху до модернізації та вдосконалення освітньої системи. Перспективи подальших досліджень вбачаємо у наукових розвідках впливу штучного інтелекту на професійний розвиток науково-педагогічних працівників ЗВО.
Physical and Biochemical Toxicity Assessment of Acute Lead Nitrate (Pb(NO3)2) Exposure on Liver Tissues of Clarias gariepinus
Authors: Basirun Ain Aqilah , Isa Fatin Maherah Md , Sha’arani Shakirah Abdul Wahab , Yasid Nur Adeela
Published: December 2024

Lead pollution is a major global concern due to its harmful effects on the environment and human health, particularly within the aquaculture industry. This study examines the impact of lead exposure on Clarias gariepinus, a commercially significant catfish species used as a biomarker for environmental pollution. Lead exposure can disrupt enzyme activity, causing hematological, gastrointestinal, and neurological issues in both humans and animals. The research involved exposing C. gariepinus to varying concentrations of lead nitrate (Pb(NO3)2) and assessing behavioral, morphological, and physiological changes. This study revealed dose-dependent impairments in swimming, breathing, and feeding behaviors, highlighting the effect of lead exposure. Histological analysis of liver tissues showed cellular stress and damage, including vacuolization and mitochondrial irregularities. Additionally, the study measured cholinesterase (ChE) activity to assess the biochemical impact on liver function, noting a significant decrease of up to 40% in butyrylcholinesterase (BChE) activity with increased lead exposure. This supports the use of ChE activity as a potential biomarker for environmental pollution. Employing sentinel species like C. gariepinus in environmental risk assessments is crucial.
Activation Energy, Temperature Coefficient and Q10 Value Estimations of the Growth of Rhodotorula sp. Strain MBH23 on Acrylamide
Authors: Abubakar Aisami , Rahim Mohd Badrin Hanizam Abdul , Khayat Mohd Ezuan
Published: December 2024

model being one of the most commonly used due to its simplicity and requiring only a few parameters. Temperature is a key factor that impacts microbial growth and their metabolic activities on various substrates. Because of their small size, microorgan-isms are very sensitive to the changes in environmental temperatures. The growth behavior of Rhodotorula sp. strain MBH23 on acrylamide reveals a unique chevron-like pattern in apparent activation energy, with a notable breakpoint at 28.05°C. The analysis revealed two distinct ranges for activation energy: 32–40°C with a value of 60.66 kJ/mol and 20–27°C with 51.60 kJ/mol. Within the 32–40°C range, the Q₁₀ value, which measures the rate of reac-tion change with temperature, was found to be 2.15, while the theta value, indicating the temperature coefficient, was 1.08. These findings offer important insights into how acryla-mide breaks down and moves, particularly in the context of bioremediation efforts. Study provides valuable insights for predicting acrylamide degradation and its movement during bioremediation processes.
İkinci Dereceden Bir Transfer Fonksiyonu Kullanılarak Elektrikli Araç Bataryalarının Modellenmesi
Authors: Mohammed Mohammed Abdulmalek Abdulrahman , Bayındır Hasan
Published: December 2024

Son yıllarda, küresel ısınma ve fosil yakıt kaynaklarının hızla azalması nedeniyle yenilenebilir enerji kaynaklarının kullanımında artış gözlenmektedir. Bu bağlamda, araştırmacılar, bilim insanları ve hükümetler tarafından elektrikli ve hibrit araçlar büyük ilgi görmektedir. Elektrikli araçların temel bileşenlerinden biri güç bataryasıdır. Elektrikli araçların karşılaştığı en büyük zorluk, verimli sürüş, hızlı şarj olabilme ve uzun menzil sunabilen uygun bir enerji depolama cihazı bulmaktır. Mevcut teknolojiye göre, elektrikli araçların enerji kaynakları arasında lityum polimer piller, nikel metal hibrit piller ve lityum iyon piller yaygındır. Lityum iyon piller, yüksek enerji yoğunluğu, uzun ömür, hafiflik, düşük deşarj oranı, uygun maliyet ve hafıza etkisi olmaması gibi birçok avantaja sahiptir. Ayrıca, lityum iyon piller, zararlı emisyon üretmeyen çevre dostu malzemelerden yapılmıştır ve yüksek güvenlik sunar. Ancak, bu pilleri tasarlamak ve davranışlarını tahmin etmek hala tam olarak çözülememiş bir mühendislik sorunudur. Bu çalışmada, elektrikli araçlarda kullanılan lityum iyon pillerin davranışını tahmin etmek için basit ve etkili bir yaklaşım olan ikinci dereceden transfer fonksiyonu yaklaşımı kullanılmıştır. Sonuçlar, önerilen yaklaşımın olumlu sonuçlar verdiği termal eşdeğer devre modellemesiyle karşılaştırılmıştır. Önerilen yöntemin ana avantajlarından biri, hesaplama belleğine olan ihtiyacı azaltmasıdır. Bu durum, basitleştirilmiş modelin elektrikli araçların enerji depolama sistemlerinin verimliliği, performansı ve güvenliğini çeşitli işletme koşullarında iyileştirmek için kullanılmasına olanak tanır.
Fuzzypulse Solar Vista: Merging Advanced Fuzzy Logic with Perturb & Observe for Optimal Solar Tracking
Authors: A K HASNA , N S ADHARSH , A S ADHITHYA , K S ANAJ , M S AYUSH
Published: December 2024

Abstract—This paper presents a comparative study between the
traditional Perturb and Observation (P&O) Maximum Power
Point Tracking (MPPT) method and its enhancement through
the integration of fuzzy logic control. The primary objective is
to mitigate the shortcomings associated with the P&O method,

particularly its tendency to induce output oscillations. By in-
corporating fuzzy logic control into the P&O algorithm, the

proposed method aims to alleviate these oscillations and enhance
overall MPPT performance. The effectiveness of the combined
approach is evaluated through extensive simulations, whereinthe
results demonstrate a reduction in output oscillations and
improved tracking efficiency. Moreover, the application scope of
the system is extended by integrating a boost converter and
a H bridge inverter on the load side, thereby enhancing its
versatility and practical utility. Through comprehensive analysis
and simulation validation, this study offers valuable insights into
the potential synergies between conventional MPPT methods and
advanced control techniques, paving the way for more robust and
efficient renewable energy systems.
Index Terms—MPPT Controller, P&O, Fuzzy Logic, Boost Con
verter
Hierarchical Deep Learning for Event-Based temporal Segmentation
Authors: R Mr.Rajan , V Sathish , S Hemachandran , K Deepak , S Sathyanarayanan
Published: December 2024

Abstract—This paper proposes a sophisticated workflow
designed to enhance the interaction between users and
long-form video content, particularly aiding in efficient
video segment retrieval based on specific user queries. The
proposed workflow eliminates the need for manual video
browsing by automatically identifying and returning
relevant timestamps for requested actions or events. By
structuring the query as a Hierarchical Query Processor,
which decomposes user requests into temporally dependent
sub-queries, and incorporating a Timestamp-Aware Frame
Encoder to associate visual frames with precise timestamps,
the system effectively models video content for time-sensitive
retrieval. The following methods are integrated to optimize
performance: Sliding Video Q-Former to capture temporal
relationships across frames, Temporal Attention Cache for
efficient reuse of pre-computed attention patterns, and a
Language Model to process queries and generate precise
timestamped responses. This innovation holds particular
value for applications in instructional media, surveillance
analysis, and content search, where time-sensitive accuracy
and contextual understanding are crucial.
Keywords—Video Comprehension – Temporal Localization
– Hierarchical Query Processing – Timestamp Embedding –
Attention Caching – Large Language Models (LLMs)
Statistical Measures of Center: A Focus on Mean, Median, and Mode
Authors:   dept. of computer science JSS college for arts, commerce and science, B Sushma
Published: December 2024

In statistics, systematic data collection,
organization, analysis, interpretation, and presentation
are the main topics of study. Understanding variability,
seeing trends, and coming to wise conclusions in a variety
of fields all depend on it.
In general, statistics can be separated into:
Descriptive statistics: These statistics include the
description and summarisation of datasets.
Inferential statistics: Inferential statistics is the capacity
to infer and forecast information about a population from
a sample.
Through methods like regression analysis, probability,
hypothesis testing, and data visualisation, statistics—
which are extensively employed in fields including
business, healthcare, social sciences, and science—assist
in decision-making. It transforms unstructured data into
meaningful knowledge that supports problem-solving
and strategic planning.
Key Words: Mean, Median, Mode, Statistics, discrete
maths, maths, Descriptive statistics
Virtual Voice Assistance for Partially Dumb People Using Audio Processing with Deep Learning
Authors: H J Shivayogappa , H R Chinmay , V N Ganavi , Navale Abhishek A
Published: December 2024

This paper presents a novel virtual voice assistance system
designed specifically for partially dumb individuals, leveraging
advanced audio processing and deep learning techniques.
Traditional voice assistants struggle to accurately interpret partial
or unclear speech, creating significant communication barriers for
individuals with speech impairments. To address this, our system
employs robust preprocessing methods, including noise reduction
and Mel-Frequency Cepstral Coefficients (MFCC) extraction, to
process incomplete speech signals. ARecurrent Neural Network
(RNN) model, trained on a diverse dataset of partial speech
inputs, enables accurate interpretation and contextual
understanding of spoken words.
The system integrates real-time processing with a text-to- speech
(TTS) module, allowing it to generate meaningful responses
tailored to the user's intent. Extensive testing shows the
proposed system achieves 91% recognition accuracy and
significantly reduces Word Error Rate (WER) compared to
baseline methods. Additionally, case studies demonstrate its
effectiveness in enhancing communication for users in real-world
scenarios.This work contributes to inclusive technology by
addressing a critical gap in voice- assisted communication. Future
work includes expanding the dataset to
accommodate diverse accents and optimizing
the model for deployment on mobile and wearable devices,
thereby extending its accessibility andimpact.
Formulation and Evaluation of Aloe Vera-Based Herbal Lotion for Skin Moisturization and Healing
Authors: Ray Pratham , kumar Prince , Verma Tarun , Sahu Gyanesh Kumar , Sharma Harish , Sahu Dr Gyanesh Kumar
Published: December 2024

Background: An alternate treatment for radiodermatitis seems to be the use of herbal extracts, which are a source
of antioxidant compounds that can protect against ionizing radiation and neutralize free radicals. Many
recommendations about the management and prevention of side effects are predicated on the appropriate experience
of radiation centers. We provide an overview of current studies that attempt to lessen radiation-induced skin damage
through the application of topical treatments including herbal extracts, such as onco-cosmetics. Techniques: The
scope of this paper is restricted to a critical evaluation of professional and scientific literature. It deals with
preparations in various physicochemical forms, such as ointments, gels, and emulsions. We emphasize the
relationship between the characteristics of the herbal extract, the type of skin care product used (preparation type,
composition, dosage), and the assessment of the extract's effectiveness in avoiding and treating radiation reactions
on the skin. Conclusions: Since herbal extracts belong to a class of cosmeceutical supplements, they can be used in
recipes and added to preparations without a prescription. Since there are no specific rules, evaluating the efficiency
of plant extracts in radiation is a challenging undertaking. Analysis of herbal extracts and recipes in terms of their
physicochemical, dermatological, and performance properties should come before any studies.

Keywords: plant extracts for skin care, onco-cosmetics, herbal medicine, radiodermatitis, and radiation treatment.
Smart Automatic Anesthesia Regulation Dosage
Authors: S R Ananya , Kambali Asha M , S Padmini , D S Harshitha , B S Sangeetha
Published: December 2024

The system uses a MAX30100 sensor to
monitor heart rate and oxygen saturation, enabling
real-time adjustments to anesthesia delivery via a
servo motor connected to a syringe. The motor's
movements are calibrated to heart rate data,
ensuring precise dosage control. A manual override
button allows health care providers to intervene
during emergencies. A DHT11 sensor monitors
temperature and humidity for environmental
awareness, while an LCD displays real-time patient
and environmental data. An Arduino Uno processes
sensor inputs, controlling servo angles to administer
accurate anesthesia volumes based on pre-set
thresholds, ensuring patient safety and stability.
Index Terms - Syringe pump, Servomotor,
Anesthesia regulation, over dose
Face Forgery Detection Using Deep Learning
Authors: T V Shruthi , K R Rachana , S Bhuvana , Y Neha Appaji , R Purnima
Published: December 2024

The rising occurrence of forged content poses a
threat to the authenticity of multimedia. This research suggests
a simplified hybrid architecture as an effective method for
detecting face forgeries. The framework includes CNN for
dependable classification, EfficientNet for robust feature
extraction, and MTCNN for precise face detection. MTCNN
ensures that high-quality input is produced for feature
extraction by accurately localizing facial regions. The CNN
classifier utilizes the extracted features in order to distinguish
between authentic and manipulated content, and EfficientNet,
which has become famous for its good performance and
computational efficiency, is able to capture face patterns at a
subtle level. Transfer learning enhances the adaptability of the

model toward new manipulation techniques because it pre-
trains on a large-scale dataset before fine-tuning on data

specifically related to deepfakes.
Key Words: Deep Learning, Deepfakes, Face Forgery,
Multimedia forensics, CNN.
The Aquamyst: Unleashing the Portable Magical Air-to-Water Transformation
Authors: Singh Thakur Rudra Pratap
Published: December 2024

Water scarcity affects over 2 billion people
globally, necessitating innovative solutions for clean water

access. The "Magical Cup" (Aquamyst) is a portable, energy-
efficient device designed to generate potable water from air,

addressing the limitations of traditional Atmospheric Water
Generators (AWGs), which are bulky, energy-intensive, and
stationary. The Aquamyst uses thermoelectric cooling to
condense atmospheric moisture, followed by multi-layer
filtration to ensure safe drinking water. Powered by renewable
energy sources like solar power, it minimizes environmental
impact while offering a compact, user-friendly design.
With applications ranging from emergency relief and military
use to urban water-stressed areas, the Aquamyst provides a
sustainable and accessible solution. Its features, including
portability, self-cleaning mechanisms, and reduced
dependency on bottled water, promote environmental
sustainability. This paper discusses the engineering,
functionality, and potential applications of the Aquamyst,
showcasing its potential to revolutionize water generation and
improve access to safe drinking water worldwide.
Key Words: water scarcity, Atmospheric Water Generators,
renewable energy, potable water, sustainable technology,
Aquamyst, thermoelectric cooling, portable water solution,
environmental sustainability.
Applying Machine Learning to Identify Malicious Behavior
Authors: Yashwanth Ch. , Kumar D. Vikram , S Divya , Swathi V
Published: December 2024

Malicious assaults, with an emphasis on URLs, are detected using a new technique that makes use of
machine learning techniques. We use hybrid machine learning models in conjunction with ensemble approaches for
Natural Language Processing (NLP). To extract pertinent information, we preprocess a dataset that includes both
malicious and genuine URLs. We improve our models' accuracy and efficiency by using strategies like Grid Search
Hyper Parameter Optimisation and Canopy feature selection. Evaluation measures that show the effectiveness of our
method include precision, accuracy, recall, F1-score, and specificity. Our hybrid machine learning system, which
incorporates natural language processing (NLP), performs better than current models, providing strong protection
against malevolent threats and improving cyber security, according to comparative analysis.
.
Keywords: Machine learning, Natural Language Processing (NLP), Cybersecurity, Canopy feature selection, Grid
Search Hyperparameter Optimization, evaluation metrics
TASK PULSE
Authors: Assoc.Prof Ms. Rajashree Sutrawe , Abhinav Erra , Thanusha Galakatla
Published: December 2024

Effective workforce management is essential in today's fast-paced work environment. Task Pulse is a mobile-based
solution designed to address common workforce management challenges. It offers real-time project and task
tracking, a skill development tracker, and seamless integration with productivity tools. The app's features promote
employee growth and align organizational objectives. Planned enhancements aim to further optimize workflows
and foster a culture of continuous improvement.
Keywords: Employee Management, Workforce Analytics, Task Tracking, Mobile Solutions, Skill Development
Role of Foreign Investment in Indian Economy Market – A Qualitative Study
Authors:   (Asst. professor Aditya College Gwalior MP), Agarwal Dr. Shivangi
Published: December 2024

Investment in any country is based on volatile factors for continuous investment. Any developing and
non-developed countries want investment in the form of foreign investment to enhance their country's
infrastructure development, technological upgradation, economic development, resolve the
unemployment factor, and many other facilities for the country's development. In this article, the
researcher applied the qualitative research methodology to find out the foreign investment role in the
Indian market. In this article, the database was based on only a secondary database. In this article, the
author defines that foreign investment is continuously increasing in the Indian market to enhance the
economic condition of India. The government of India is continuously focused on implementing new
schemes for increasing foreign investment in India.
Keywords: Foreign Investment, FPI, FDI, FII, economic development
Audio Extraction from a Video
Authors: Sailikith G , Pavan J , Yashwanth G , Devasekhar Mr V
Published: December 2024

This Python script leverages the MoviePy
library to facilitate the extraction of audio from video
files. Featuring a user-friendly GUI built with Tkinter, the
script allows users to select a video file and specify their
preferred audio output format. Once a video is selected,
it is saved to an 'input' directory, and the user can choose
an audio format, such as MP3 or WAV. The script extracts
the audio using MoviePy and saves it in the 'output'
directory with the same filename as the original video but
in the chosen audio format. Upon successful extraction,
a confirmation message is displayed, while any issues
encountered during the process are communicated to the
user through Tkinter’s messagebox. This ensures a
seamless experience by integrating error handling to
address potential problems. Designed for efficiency and
ease of use, this script provides a reliable solution for
separating audio from video, making it ideal for
multimedia processing tasks.

Key Words: Python- moviepy, tkinter
Radicular Retainers in Prosthodontics: A Comprehensive Review
Authors: Venkata Vaibhav Dr. Puvvada , Rao Dr. B. Lakshmana , Sudheer Dr. k. , P Dr. Sudha Rani. , Teja Dr. P. Ravi
Published: December 2024

Radicular retainers are integral components in prosthodontics, commonly used in the rehabilitation of partially
edentulous patients. They are designed to provide retention and support for removable partial dentures (RPDs),
especially when conventional clasps or attachments cannot be used due to anatomical or aesthetic concerns. Radicular
retainers are primarily indicated for cases where remaining natural teeth are compromised, where the support from
the remaining tooth roots is optimal, or in situations where the preservation of dental esthetics is crucial.
This review article explores the concept of radicular retainers, their clinical indications, materials, techniques, and

challenges. We will also highlight advances in the design of radicular retainers and their role in enhancing the long-
term success of prosthodontic treatments.
A STUDY ON INVENTORY MANAGEMENT SYSTEM IN MODERNIZED BUSINESS ENVIRONMENT
Authors: P DR. Nivetha , A MR. Vasanth Priyan , T MR. Abimanyu , B MR. Satish Kumar
Published: December 2024

Effective inventory management is crucial for businesses to use resources wisely, improve operations, and keep
customers happy. In today’s modern business world, inventory systems have advanced from simple manual
methods to high-tech solutions that use automation, artificial intelligence (AI), and data analysis. This study
explores the importance of inventory management systems, how they have evolved, and their impact on modern
businesses. It also discusses the benefits and challenges of using these systems, explaining how they help
companies stay competitive.
Keywords: Inventory management, business operations, resource optimization, customer satisfaction, modern
business, automation, artificial intelligence (AI).
Strengthening Cameroon’s Pharmaceutical Supply Chain: Tackling Manpower Shortages, Ensuring Regulatory Compliance, and Mitigating Supply Disruptions
Authors: Walters Kughong
Published: December 2024

This study investigates the pharmaceutical supply chain in Cameroon, highlighting the shortage of qualified
personnel, supply disruptions, and the need for regulatory compliance. It examines socioeconomic disparities,
political challenges, and quality concerns within the context of pharmaceutical distribution. The research
emphasizes the importance of establishing a reliable supply chain, incorporating effective risk management
systems, and promoting greater visibility through real-time information sharing. Additionally, it addresses ethical
considerations such as informed consent and confidentiality. Policy interventions and training programs aimed at
improving distribution practices are explored to offer recommendations for enhancing the efficiency, reliability, and
safety of pharmaceutical supplies in Cameroon. The findings contribute to existing literature and support informed
policy decisions for future improvements in similar settings.
Sustainable and Intelligent Parking System
Authors: shinde Nishanth M , S Shrigandha , B V Tejas , Nadig Sumukha S
Published: December 2024

Abstract—In public places like malls, hospitals, businesses,
and market places, parking is a major problem. Finding parking
lanes requires investment and manual labour, which adds time
and congestion. This issue can be lessened with an automated
parking system that uses infrared transmitter-receiver pairs in
each lane and a display outside the gate. Additionally, the

system uses RFID readers/tags, automatic billing, and entry-
exit data logging to manage check-ins and check-outs. At

neighbouring kiosks, users can register, create an account, and
add money for recharging. Users are directed to the available
parking spaces by video displays at the parking floor entrance.
This system uses infrared transmitter-receiver pairs in each

lane and displays outside the gate, providing users with real-
time information about the availability of parking slots.

Conventional parking systems lack intelligent monitoring, and
parking lots are monitored by security guards.
The proposed system uses a display unit to display a visual
representation of parking, including empty and occupied slots,
helping users decide where to park their car. The system also
manages check-in and check-outs under RFID readers/tags,
with additional features such as automatic billing and entry exit
data logging. Users complete a one-time registration process,
creating an account with personal information and money for
recharge at nearby kiosks. Video displays at the entrance of the
parking floor guide users to the vacant parking slots, showing
green and red slots respectively.
The sharp rise in vehicle density, especially during peak hours,
makes it difficult for users to locate a parking space.
Additionally, there is a smartphone app that lets customers
check the availability of parking spaces and make the
appropriate reservation. Smart parking can reduce pollution
and fuel use in urban areas, increasing the
economy. Parking management is the process of making better
use of parking resources. To effectively manage parking, the

first step is to identify the source of the problem. Finding
enough parking is one of the industries with the fastest growth
rates due to the increasing number of cars on the road. Usually,
traffic has been a nightmare. clever parking options from
Keywords—Vehicle density, Parking Space, Peak hours,
Sharp Rise, Smart parking, Spaces, Parking, Increasing,
Vehicles, Users, Urban, Traffic, Step, Source, RFID, Lane,
Infrared, Gate
A LOCATION BASED ALARM REMINDER SYSTEM FOR MOBILE APPLICATION
Authors: Vinesh Kasi , Srikar Rao Kattekola Sai , Ayuen Abhram Thon , RajSoni Shankar
Published: December 2024

This Android application is designed to provide location-based reminders and friendly notifications. Italerts users
when a friend enters a specified 1 km radius from their location. Additionally, users can mark a location on the map,
and the app will trigger an alarm when they enter that defined area. NearbyRegistered Shop Offers Notification –
When the user enters an area, the app checks if any shops within that area are registered in the database. Ifso, the user
will receive notifications about the availableoffers at those shops. The user's location is constantly sent to a server
using GPS and Location-Based Services (LBS) for real-time tracking.
The application also features an Admin Panel, where administrators can log in to manage the shop database by
adding or removing shops. Shop managers, through their own login, are able to add and manage special offers on the
platform.
Breaking Down the Gender Divide: A Study of Women’s Hiring and Representation in the Workplace
Authors: Poornima D , Pandey Dr. Nivedita
Published: December 2024

This research article, Breaking Down the Gender Divide: A Study of Women’s Hiring and Representation in the
Workplace, investigates the gender disparities in hiring rates and overall representation of women in the workforce.
Utilizing secondary data from global corporate diversity reports, including Google's annual diversity reports, the
study analyses trends in the participation of women in various industries, particularly in leadership and technical
roles. The findings highlight both the progress made and the persistent challenges women face in achieving equal
representation across different levels of the workplace. While there has been incremental growth in women’s hiring
rates and leadership roles, the data reveals that significant gaps still exist, particularly in male-dominated fields. The
article further discusses the implications of these findings, offering recommendations for organizations to improve
gender diversity through targeted hiring practices, leadership development programs, and inclusive workplace
policies. This research contributes to the ongoing conversation about workplace equity and offers valuable insights
for both policymakers and businesses aiming to foster a more inclusive environment.
KEYWORDS
Women Empowerment, Gender Equality, Workplace Diversity, Gender Gap
DESIGN AND FABRICATION OF SOLAR POWERED PESTICIDE SPRAYER
Authors: Solanki Milind , Shinde Vicky , Shirsat Nilay , Venugopal Shravan
Published: December 2024

Protecting crops against weeds, insect pest,
and germ is becoming a biggest challenge for the
farmers. To overcome this issue. chemicals (pesticides)
are applied to crops For this purpose a pesticide sprayer
are used. Sprayers are mechanical devices that are
specifically designed to spray Chemicals quickly and
easily. A sprayer of this type is a great way to use solar
energy. Solar based pesticides sprayer pump is one of
the improved version of petrol engine pesticide sprayer
pump and hand pump sprayer. It is vastly used in the
agriculture field & also used for many purposes. This is
having more advantages over petrol engine sprayer
pump. It uses the solar power to run the motor. So, it is a
pollution free pump compared to petrol engine sprayer
pump. The solar panels make up most (up to 80%) of the
systems cost. The solar sprayer has many advantages.
Besides reducing the cost of spraying, there is a saving
on fuel/petrol. Also Reduces man effects in case of hand
sprayer. The solar sprayer maintenance is simple. The
operation of solar powered pumps is more economical
mainly due to the lower operation and maintenance costs
and has less environmental impact. Solar pumps are
useful where grid electricity is unavailable and
alternative sources. The farmer can do the spraying
operation by himself without engaging labour, thus
increasing spraying efficiency. In this context, we have
proposed an innovative sprayer model for optimized
spray applications with minimum losses and cost. The
proposed working model of automated pesticide sprayer
was designed, fabricated and analysed for performance
tests. This sprayer operates on electrical power supplied
by solar panel with battery of designed capacity. An
added advantage of this automated pesticide sprayer is
that it does not have any impact as far as farmers health
is concerned and also it is free from greenhouse gas
emissions. It has also been proven itself to be an
efficient, reliable and economical one to spray pesticides
for agriculture applications.
Key Words: Pesticides, Solar Energy, Pollution free,
Fuel saving, Automated Sprayer, Greenhouse gas
emissions.
A Smart IoT-Based Safety System for Vulnerable Populations: An Innovative Approach Using AI and Blockchain
Authors: Abhigna Saraswatibhatla , Manogna Saraswatibhatla
Published: December 2024

In an increasingly digital world, safety remains a critical concern, especially for vulnerable populations such as
women, children, and the elderly. This research presents an advanced IoT-based smart wearable safety device
integrating artificial intelligence (AI) and blockchain technologies to enhance personal security. The system
incorporates sensors for monitoring physiological and environmental parameters, a GPS module for real-time
location tracking, and a high-frequency alarm. Blockchain ensures secure data transmission and tamper-proof
records, while AI enhances threat detection through sentiment analysis and machine learning-based pattern
recognition. Experimental results demonstrate an accuracy of 96.8%, a sensitivity of 94.3%, and a robust safety
response mechanism. The proposed solution offers scalable, energy-efficient, and cost-effective protection, setting
a benchmark for IoT-based safety systems.
Keywords: IoT, Blockchain, AI, Personal Safety, Wearable Technology
A Novel Methodology for Detecting and Quantifying Transformer Winding Deformation Using Frequency Response Analysis
Authors: GS ANIL KUMAR , MS SHANMUGHAN , P UNNIKRISHNAN , VV KAMAL
Published: December 2024

A transformer has windings and its
structural integrity depends on several factors such as
system short circuits,mechanical shocks during
transporting,reduction of pressure of winding clamping
etc.A transformer can experience severe
electromagnetic forces on its winding structure during
short circuits. These electromagnetic stresses can lead
to winding deformation in both the radial and axial
directions.Obviously it will lead to transformer failure.
Historicallythe winding deformation and movement in
transformer winding is detected by the measurement of
leakage inductance. However immediate radial
deformation results in a significant change in the
leakage inductance. But axial deformation has less
change in leakage inductance. Thus leakage inductance
measurement method has less sensitivity.Another
method was introduce in 1978 based on the frequency
response analysis(FRA). In FRA testing method a
signal is injected in to one terminal at the same time the
response at the other terminal is measured. The
commonly used methods for signal injection are swept
frequency method(SFRA) and Impulse method(IFRA).
This topic proposes a methodology for locating and
quan tifying winding deformation in transformers.It is
based on the fitting of a Gray Box transformer model to
FRA measurements. Here the FRA measurements were
recorded both before and after the fault. The refined

variations in the key parameters of the model can be
then used to quantify winding deformation with in
power transformers.
Key words: Frequency response analysis, Swept
frequency response analysis (SFRA), Impulse response
analysis (IFRA), Gray box transformer model. Winding
deformation. Keywords: Frequency response analysis,
Swept frequency response analysis (SFRA), Impulse
response analysis (IFRA), Gray box transformer model.
Winding deforma tion,Buckling
Performance of Hybrid and Inbred Rice Varieties under Vermicast Application
Authors: C. Silguera Ma Sheila , D. Dollison Mohammad
Published: December 2024

This study aimed to evaluate the performance of hybrid and inbred rice varieties using vermicast as fertilizer. Soil chemical properties, plant growth, and yield performance were observed and tested for significant differences. The experiment employed a Randomized, Completely Design-Factorial layout with three replications of 30 plots. Six check plots were also prepared as farmers fertilization practices for rice production. The total experimental area is 468 m², with a planting distance of 20m x 20m and a total plant population of 5,376. Factor A involved six rice varieties, and Factor B included varying vermicast levels. Growth parameters and yield components were assessed, and data were analyzed using two-factor ANOVA and LSD test. Results indicated significant differences among rice varieties in days to flowering, days to maturity, plant height, and grain yield per hectare. However, no significant differences were observed in productive tillers, filled grains, and thousand-grain weight. No interactions were observed between rice varieties and vermicast levels. Soil analysis revealed an increase in available phosphorus but a decrease in total nitrogen and potassium content in the soil after the experimental study. Based on the observed results, the study recommends utilizing the NSIC Rc314H variety in rice production with a vermicast application rate of 5 tons per hectare for better crop yield. Future research on vermicast application in lowland rice is highly recommended for more conclusive findings and valuable insights into optimizing rice cultivation with specific varieties and application for improved yield and sustainable agricultural practices.