bluuebunny/crossref_metadata_2025 huggingface dataset:
تأثير التحصين الاداري على استمرارية الشركة
Authors: الباججي محمد صاحب محمدجواد , حميدي كرار سليم عبد الزهره
Published: September 2024

يهدف هذا البحث الى اختبار تأثير التحصين الإداري في استمرارية الشركة، حيث تم تطبيق البحث على البيانات المالية لـ 98 عينة والتي تشمل 100% من عينات الشركات في القطاع المصرفي التجاري غير الإسلامي المدرجة ضمن السوق النظامي في سوق العراق للأوراق المالية والتي تعتمد المعايير الدولية للإبلاغ المالي للفترة من 2016 الى 2022.
وقد تم قياس المتغيرات بشكل كمي حيث تم الاعتماد على كل من نسبة الملكية الإدارية وتركيز الملكية وفترة بقاء المدير التنفيذي وتبعية مجلس الإدارة لقياس التحصين الإداري، كذلك تم اعتماد أنموذج Altman Z’’-Score, 2005 الخاص بالأسواق المالية الناشئة لقياس استمرارية الشركات قيد الدراسة.
وتم التوصل من خلال معادلة الانحدار الى وجود تأثير عكسي لبعض آليات التحصين الإداري في استمرارية الشركة،
وبناء على ما تم أعلاه، قدم البحث العديد من التوصيات مثل ضرورة اهتمام مستخدمي القوائم المالية للشركات المختلفة الاطلاع على آليات التحصين العديدة لما لها من أثر فعال على أداء الشركة ونتائجها، إضافة الى أهمية مراجعة وتقييم مستويات التهديد لاستمرارية الشركات في الأسواق المالية المحلية استخدام أنموذج Altman Z'-Score 2005 في قياس استمرارية الشركة والخاص في الأسواق المالية الناشئة والمتوافق مع الأسواق المالية العراقية، كما يجب على مجالس الإدارة المراقبة المستمرة لمدى تعظيم سلطة الإدارة التنفيذية، لما لذلك من أثر واضح على أداء الشركة وقيمتها ومستوى استمراريتها.
دور مرتكزات التسويق العصبي في تعزيز البصيرة التسويقية: دراسة تحليلية لآراء عينة من العاملين في عدد من مطاعم محافظة دهوك
Authors: حجي أڤان يوسف , عمر محمد عبدالرحمن
Published: September 2024

يهدف البحث إلى تقديم مفهوم واضح لدور مرتكزات التسويق العصبي في تعزيز البصيرة التسويقية لعدد من مطاعم محافظة دهوك مستفيدة من التقنيات الحديثة والبصيرة والرؤى التي تمتلكها المطاعم في فهم رد فعل الزبائن واستجابتهم للإشارات والترددات العصبية لديهم عند مشاهدة منتج أو إعلان معين، إذ ظهر التسويق العصبي ليكون مكملًا لتقنيات البحث القديمة وإلى الاستحواذ على عقلية الزبائن والسيطرة عليهم بالاطلاع على طرق تفكيرهم وفهم دماغهم والتي تدفعهم لاختيار منتج دون غيره، إذ اعتمد البحث الحالي على اختبار التسويق العصبي بمرتكزاته كمتغير مستقل والبصيرة التسويقية كمتغير تابع وإطار تحليلي للتعرف على طبيعة العلاقات الاحصائية بين المتغيرين، وهذا ما دفع الباحثان الى صياغة عدد من الفرضيات الرئيسة والفرعية، واختبارها من خلال استخدام مجموعة من الأساليب الإحصائية التحليلية، ولقد توصل البحث إلى عدد من الاستنتاجات وكان من أهمها: إن دراسة العمليات الذهنية للزبائن واكتشاف سلوكهم من اجل تطوير استراتيجيات تسويقية يمكن تحقيقه من خلال معالجة المعلومات وقرارات الزبائن وفهم تفضيلاتهم وطريقة تفكيرهم وعواطفهم واستكشاف كيف يمكن لمنظمات الأعمال أن ترتبط مع دماغهم بتفاصيله عن طريق التسويق العصبي ومرتكزاته. ومن بين المقترحات المهمة التي توصل إليها البحث: المطاعم المبحوثة عندما تسعى إلى زيادة المشاعر الإيجابية لدى زبائنها وتقليل مشاعرهم السلبية للتأثير في سلوكهم. آلية التنفيذ: عليها العمل على اثارة عواطفهم وحواسهم تجاهها والتي تلعب دوراً مهما في اتخاذ القرار لدى زبائنها والتي يمكن استثارتها بعوامل مختلفة، كالتباين بين خصائص المطعم واللوانها الطبيعية.
Impact of Cannabis Use on the Length of Hospitalization of Schizophrenic Patients
Authors: Bourote B. , Rafi S. , Majdoub H. El , Ouanass A.
Published: September 2024

Background: Cannabis is the most widely used illicit substance worldwide, with its prevalence increasing notably among individuals with schizophrenia. This population of patients often require multiple and prolonged hospitalizations for optimal symptom control. Previous studies have suggested an association between cannabis use and prolonged hospitalization, but this link has not been explored in the Moroccan population. Objective: This study aims to explore the association between cannabis use and the length of hospitalization in patients with schizophrenia. Methods: We conducted a descriptive and analytical cross-sectional study on a cohort of 135 schizophrenic patients hospitalized at Ar-razi Psychiatric Hospital in Salé between July 2023 and February 2024. The sample was divided into two groups: cannabis users (60%) and non-users (40%). The length of hospitalization was compared in univariate and multivariate analyses. Results: The mean hospitalization duration was significantly longer for cannabis users (56.4 ± 22.3 days) compared to non-users (33.5 ± 14.2 days) (p < 0.001). A univariate regression model revealed that cannabis use was associated with a 25-day prolongation in hospital stay (OR: 24.8, 95% CI: 17.5 – 32.2, p < 0.001). Other socio-demographic factors did not show a notable effect on hospitalization duration. Conclusion: Cannabis use may be a significant factor in prolonging hospitalization in patients with schizophrenia. Further studies with larger samples and objective assessments of cannabis use, are recommended.
Molecular Characterization of Human Adenoviruses Associated with Pediatric Respiratory Infections in Omdurman, Sudan
Authors: Saed Abdulaziz Abdirizak , Hamad Dr. Mohammed Eldai , Salih Dr. Rashid Awad Abdalla , Allah Dr. Mohammed Ahmed Abd
Published: September 2024

Acute respiratory viral infection (ARVI) is a common cause of morbidity and mortality especially in pediatric patients. Among important respiratory pathogens are adenoviruses, The illnesses can range from the common cold to pneumonia Depending on the type, adenoviruses can cause other illnesses such as gastroenteritis, conjunctivitis, cystitis, and, less commonly, neurological disease. Aim of study: molecular detection of respiratory infection due to adenovirus among children in Khartoum state. Respiratory specimens were collected from children’s patients with RTIs in the emergency department Mohamed Alamin Hamid pediatric hospital Omdurman in Khartoum state during the period of October 2022 to February 2023.the HAdV infection were determined by PCR technique. A total of 50 nasal swap were investigated for HAdV, throughout th PCR technique by using specific primer. The results showed 18 (36.0%) were positive and 32 (64.0%) were negative for HAdVs. The statistical analysis revealed no significant difference between age groups (X2= 0.786 P. value: 0.375). This study summarized the HAdV were the predominant types identified in children less than five years intend to have respiratory tract infection according to clinical symptoms of upper or lower respiratory infections.by using conventional PCR for identify with highly sensitively.
Prevalence of Hypothyroidism in Children with Transfusion Dependent Thalassemia Patient Attending in A Tertiary Care Hospital of Bangladesh
Authors: Afroze Dr. Shayla , Selimujjaman Dr. Md. , Biswas Dr. Rabi
Published: September 2024

Background: Blood transfusions and iron chelation are standard treatments for β-thalassemia major and Hb E-Beta-Thalassemia. However, repeated transfusions raise body iron levels, leading to secondary hemosiderosis and complications in the heart, endocrine system, and liver. Thyroid dysfunction results from gland infiltration, chronic hypoxia, free radical damage, and iron overload. This study aimed to find out the prevalence of hypothyroidism in transfusion-dependent thalassemic children attending Bangladesh Shishu Hospital & Institute. Methods: A descriptive cross-sectional study was conducted at the Thalassemia Centre, Department of Hematology and Oncology, Bangladesh Shishu Hospital & Institute, from December 2019 to November 2020. The study included 140 children with thalassemia, aged 5 to 16 years, who were receiving blood transfusions. Data were collected using a structured questionnaire with participant consent. Statistical analysis was performed using SPSS version 23.0. Results: In this study, hypothyroidism was observed in 26.2% of patients, with 23.5% having subclinical and 2.9% overt hypothyroidism. In most of the patients (n=85), aged 11-16 years, 58.3% had normal thyroid function, 36.5% had subclinical, and 4.7% had overt hypothyroidism, which was statistically significant (p<0.05). Of the 91 patients with hemoglobin levels below 11.5 g/dL, 85.7% had normal thyroid function, 13.2% had subclinical hypothyroidism, and 1.1% had overt hypothyroidism, also significant (p<0.05). In the group with ferritin levels of 1200-2000 ng/mL, 78.1% had normal thyroid function, 18.8% had subclinical hypothyroidism, and 3.1% had overt hypothyroidism, which was not statistically significant (p>0.05). Conclusion: Subclinical hypothyroidism is commonly seen in thalassemia patients aged 5 to 16 years who undergo regular blood transfusions. Regular physical exams and thyroid function assessments are crucial to detect overt hypothyroidism early. Timely hormone replacement can
Psychosis Post-Traumatic Brain Injury: Causal Links and Nosographic Approaches about a Clinical Case
Authors: Douk K. , Benallel Kh. , Hanine I. , Salim J. , Gartoum M. , Mouhadi Kh. , Kadiri M.
Published: September 2024

Psychotic manifestations, mainly consisting of delusions and hallucinations, are clinical entities that transcend nosographic boundaries and are present in various psychiatric and somatic disorders, particularly neurological and neurosurgical conditions. These psycho-behavioral manifestations can be isolated, coexist, or complicate a neurological deficit, thus raising questions about their imputability. Our goal is to shed light on the extent to which cranial traumas contribute to the development of psychiatric disorders and their specific characteristics. Ultimately, we aim to establish the foundations for an optimal biopsychosocial and legislative management approach if necessary. This will be illustrated through the clinical case of a patient who exhibited depressive symptoms shortly after the onset of delusional ideas with a psychotic nature, one year after experiencing a cranial trauma due to a public road accident. The somatic consequences of cranial trauma can cause psychotic symptoms. This is referred to as a post-traumatic psychotic disorder directly linked to localized brain damage, adhering to the structure-function paradigm. Such symptoms can appear up to four years later. The authors have reported that the onset of psychotic symptoms is frequently associated with depressive syndrome, which is a factor contributing to the chronicization of post-traumatic psychosis. Psychotic symptoms following Psychotic manifestations, such as delusions and hallucinations, can occur in various psychiatric and somatic disorders, especially neurological and neurosurgical conditions. These behaviors can occur alone, work in conjunction, or complicate a neurological deficit, raising questions about their connection to the condition. We want to understand how head injuries contribute to the development of psychiatric disorders and their specific characteristics. Ultimately, we aim to establish a comprehensive approach to managing these conditions, incorporating biological, ..
Acute Pancreatitis Revealing Primary Hyperparathyroidism Due to Unilateral Parathyroid Hyperplasia Associated with Parathyroid Adenoma
Authors: Mennani Fatima Ezzahra , Niyogushima Eleazar , Ijdda Sara , Rafi Sana , Mghari Ghizlan El , Ansari Nawal El , Benallal Chafiaa , Rais Hanane
Published: September 2024

Primary hyperparathyroidism is a common endocrine pathology characterized by elevated levels of parathyroid hormone, the most common clinical manifestations being renal or skeletal damage accompanied by moderate or severe hypercalcemia. Around 80-85% of primary hyperparathyroidism cases are caused by a single parathyroid adenoma, 4-5% by multiple adenomas, 10-15% by parathyroid hyperplasia and less than 1% by parathyroid carcinoma. We report the case of a patient with primary hyperparathyroidism presenting with acute pancreatitis. After cooling of the pancreatitis, the patient underwent surgery. Post-operative follow-up showed definitive hypocalcemia, and pathological examination revealed the association of parathyroid hyperplasia and a unilateral parathyroid adenoma.
Tinjauan Sistematis: Update Efektivitas Vaksin Polio di Seluruh Dunia
Authors: Adiwinoto Ronald Pratama , Adnyana I Made Dwi Merth , Prasetya Hanung , Duarsa Artha Budi Susila
Published: September 2024

Tinjauan sistematis ini mengevaluasi efektivitas dan keamanan strategi vaksinasi polio di berbagai populasi dan setting. Data dari beberapa studi antara tahun 2015 hingga 2023 dikumpulkan secara sistematis dari basis data PubMed, Google Scholar, dan ScienceDirect dengan menggunakan kata kunci seperti "vaksinasi polio," "serokonversi," dan "pengeluaran virus." Data ini dianalisis untuk menilai tingkat serokonversi, pengeluaran virus, dan kejadian ikutan setelah vaksinasi. Hasil menunjukkan variasi yang signifikan dalam tingkat serokonversi dan pengeluaran virus di antara populasi studi yang berbeda, menekankan pentingnya pendekatan vaksinasi yang disesuaikan. Meskipun variasi ini, efikasi keseluruhan vaksinasi polio, terutama dengan vaksin poliovirus inaktif (IPV) dan vaksin poliovirus oral bivalen (bOPV), terbukti meningkatkan kekebalan populasi dan mengurangi transmisi virus. Temuan ini menegaskan pentingnya menjaga dan memperkuat program vaksinasi polio global untuk mencapai dan mempertahankan upaya eradikasi polio global. Penelitian masa depan sebaiknya difokuskan pada optimalisasi strategi vaksinasi dan mengatasi hambatan terhadap penerimaan vaksin untuk memastikan terus berkembangnya progres menuju eradikasi polio global.
Hubungan Dukungan Sosial dan Nyeri Melahirkan dengan Risiko Baby Blues pada Ibu Bersalin Usia Dini
Authors: Rachmadanti Tharisa , Margo Eveline
Published: September 2024

Pernikahan dini mayoritas terjadi di negara berkembang, data Badan Pusat Statistik menyatakan angka kelahiran ibu muda terjadi di usia 15–19 tahun di Indonesia. Perubahan fisik dan emosional postpartum merupakan penyebab terjadinya baby blues. Menurut WHO (2014) angka kejadian baby blues berkisar 50–70 %. Penyebabnya dari berbagai faktor, di antaranya dukungan sosial dan nyeri melahirkan. Tujuan penelitian ini adalah untuk mencari hubungan dukungan sosial dan nyeri melahirkan dengan risiko baby blues pada ibu bersalin usia dini. Penelitian dilakukan di Kecamatan Muara Padang, Sumatera Selatan dengan rancangan potong lintang. Teknik pengambilan sampel menggunakan metode random sampling. Penelitian dilakukan antara bulan Agustus - November 2022, didapatkan 84 subjek yang berumur antara 15–19 tahun, melahirkan dalam 1 minggu dan bersedia mengikuti penelitian. Penilaian dukungan sosial memakai kuesioner Berlin Social Support Scale, untuk menilai nyeri melahirkan memakai Numerical Rating Scale dan Edinburgh Postpartum Depresion Scale untuk menilai risiko baby blues. Analisis data menggunakan uji Chi-square (p<0,05). Hasil penelitian didapatkan tidak berhubungan signifikan antara dukungan sosial dengan risiko baby blues (p0,235), sedangkan untuk nyeri melahirkan berhubungan signifikan dengan risiko baby blues (p0,001). Kesimpulannya tidak terdapat hubungan antara dukungan sosial dengan risiko baby blues dan terdapat hubungan antara nyeri melahirkan dengan risiko baby blues.
Heart Rate Variability pada Mahasiswa Penyintas COVID-19
Authors: Theodore Ishak Ramos , Bustamam Nurfitri , Simanjuntak Kristina , Dewiastuti Marlina
Published: September 2024

COVID-19 meningkatkan risiko penyakit pada sistem kardiovaskular dan sistem saraf otonom. Penelitian ini bertujuan untuk mengetahui heart rate variability (HRV), yang merupakan salah satu indikator fungsi sistem saraf otonom dan sistem kardiovaskular, pada mahasiswa penyintas COVID-19 di Fakultas Kedokteran Universitas Pembangunan Nasional “Veteran” Jakarta. Penelitian menggunakan desain case-control dan purposive sampling. Jumlah sampel 42 mahasiswa dengan kriteria inklusi mahasiswa dengan riwayat COVID-19 atau tanpa riwayat COVID-19 dan berusia 18—22 tahun. Mahasiswa dengan riwayat penyakit kardiovaskular, disotonomia, merokok, minum alkohol, melakukan aktivitas berat, dan memiliki tingkat stres sedang hingga berat dieksklusi dari penelitian. Penelitian menggunakan HRV Analyzer SA-3000P untuk mengukur HRV dan kuesioner. Dari hasil penelitian didapatkan tidak ada perbedaan usia, jenis kelamin, dan skor stres antara kelompok penyintas COVID-19 dan kelompok kontrol (p > 0,05). Terdapat perbedaan RMSSD dan VLF di antara kedua kelompok (p < 0,05). Hasil uji Chi-square menunjukkan, terdapat hubungan antara riwayat COVID-19 dan HRV pada domain waktu RMSSD > 40 (p = 0,029; OR = 5,2; CI = 1,4—19,8). Kelompok penyintas COVID-19 berisiko 5,2 kali lipat memiliki RMSSD > 40 dibandingkan kelompok kontrol, yang menunjukkan adanya peningkatan aktivitas sistem saraf parasimpatis
Faktor Risiko Kejadian Pitiriasis Kapitis pada Mahasiswa Fakultas Kedokteran dan Ilmu Kesehatan
Authors: Susanto Inneke Kusumawati , Fuk Lim Jen , Stephanie Josephine Natasha
Published: September 2024

Pitiriasis kapitis merupakan salah satu penyakit yang kejadiannya cukup tinggi pada kelompok usia dewasa muda yaitu contohnya adalah mahasiswa. Pitiriasis kapitis disebabkan oleh jamur Pityrosporum ovale yang merupakan jamur lipofilik dikategorikan di dalam genus Malassezia dan familia Cryptococcaceae. Di Indonesia, prevalensi kejadian pitiasis kapitis yaitu sebesar 18%. Tujuan Penelitian ini untuk mengetahui faktor risiko kejadian pitiriasis kapitis pada mahasiswa fakultas kedokteran dan ilmu kesehatan. Rancangan penelitian ini adalah deskriptif dengan rancangan cross-sectional mengenai faktor risiko kejadian pitiriasis kapitis. Subjek penelitian yang digunakan sebanyak 78 mahasiswa dari angkatan 2021 dan 2022 Fakultas Kedokteran dan Ilmu Kesehatan Universitas Kristen Krida Wacana yang telah memenuhi kriteria inklusi. Data penelitian merupakan data primer yang didapatkan dari hasil kuesioner dan pengambilan sampel kulit kepala. Berdasarkan hasil, mahasiswa yang mengalami pitiriasis kapitis 38 orang (48,7%). Kejadian pitiriasis kapitis lebih banyak pada perempuan (65,8%) dibandingkan pada laki-laki (34,2%). Hasil uji hipotesis dengan Chi-square  pada penelitian ini terdapat hubungan jenis kelamin terhadap pitiriasis kapitis (P-value 0,003). Sedangkan untuk penggunaan alat penutup kepala, tempat penyimpanan penutup kepala, penggunaan penutup kepala bergantian, frekuensi keramas, penggunaan sampo saat keramas, penggunaan produk penata rambut, pemakaian handuk, dan frekuensi mengganti handuk tidak terdapat hubungan yang bermakna (p>0,05).
STUDY OF FERROCHROME SMELTING TECHNOLOGY USING BRIQUETTES WITH VARIOUS CARBONACEOUS REDUCERS
Authors: Makhambetov Yerbolat , Akhmetov Amankeldy , Gabdullin Serik , Shabanov Yerbol , Toleukadyr Ruslan , Saulebek Zhalgas , Myrzagaliyev Aibar
Published: September 2024

This study explores the ferrochrome smelting technology using briquettes with various carbonaceous reducers. The research addresses the significant challenge of dust and fine fractions of raw materials generated during the metallurgical industry's crushing, beneficiation, storage, and transportation processes. Briquettes were produced and tested by agglomerating chrome ore dust with carbonaceous reducers for their mechanical properties and effectiveness in smelting processes. The study concludes that carbonaceous reducers' ash content significantly affects the chrome ore-containing briquettes' thermal stability and electrical conductivity. Low ash content was associated with better performance in the smelting process. Using briquettes with various carbonaceous reducers offers a flexible approach to charge composition, depending on specific production needs and the availability of reducers. The results highlight the potential for improved environmental impact, reduced material losses, and enhanced efficiency in ferrochrome production.
PENERAPAN METODE AHP DAN VIKOR DALAM REKRUTMEN KARYAWAN HARIAN LEPAS PADA HARI BESAR: STUDI KASUS TOKO RIA BUSANA LUBUK PAKAM
Authors: Pane Ogie Ariansah , Irawan Muhammad Dedi
Published: September 2024

Perkembangan teknologi membuka peluang besar bagi pelaku usaha untuk mengembangkan teknologi dan menerapkan sistem seleksi calon karyawan maupun pembuatan laporan sebagai sarana penunjang kinerja yang lebih cepat dan efisien. Pada perayaan hari besar toko Ria Busana membutuhkan karyawan harian lepas, untuk mendapatkan karyawan harian lepas yang terbaik dengan kriteria tertentu maka diperlukan penetapan standar ataupun kriteria-kriteria yang digunakan untuk penilaian rekruitmen. Sehingga diperlukan suatu sistem pengambil keputusan untuk rekruitmen karyawan, metode yang digunakan adalah AHP untuk penentuan bobot serta metode VIKOR untuk menyelesaikan penyeleksian calon karyawa harian lepas. Dalam penelitian ini penulis menguraikan 5 standar atau kriteria yang digunakan dalam rekrutmen karyawan harian lepas pada ria busana lubuk pakam sebagai berikut kecepatan respon, kemampuan komunikasi, psikologi, pengetahuan fashion, fleksibilitas waktu. Pengujian nilai pada sistem dapat digunakan sesuai kebutuhan. Atas nama Rizky Khodijah mendapatkan nilai terendah yaitu -0,001 yang artinya dalam atauran VIKOR semakin rendah nilainya maka semakin tinggi rankingnya, jadi dalam peranking ia mendapat ranking 1. Dari hasil uji coba dapat disimpulkan metode AHP VIKOR dapat menyelesaikan masalah perekrutan secara konvensional dengan menunjukkan nilai-nilai secara tranparansi.Kata Kunci: Sistem Pendukung Keputusan, AHP, VIKOR, Karyawan
THE TECHNIQUEOF NOISE SUPPRESSION IN THE IMAGEOF UNMANNED VEHICLES AIRCRAFT USINGTHE WAVELET TRANSFORM AND NEURAL NETWORK
Authors: Хорошайлова М.В. , Кузнецов А.В. , Демихова А.С.
Published: September 2024

предложен улучшенный способ шумоподавления двумерного изображения, основанный на вейвлет-преобразовании и сверточной нейронной сети, позволяющий подавить данные случайного шума, создаваемого внешними или внутренними факторами, снижая резкость изображений с беспилотных летательных аппаратов (БПЛА). Действительный сигнал отличается от шума после вейвлет-преобразования, и преобразованный сигнал служит входными данными нейронной сети. Глубокая нейронная сеть используется для непосредственного изучения характеристик шума на изображении, связанных с вейвлет-областью, что позволяет точно и адаптивно оценивать уровень и распределение шума. Сверточная нейронная сеть удаляет шум из сигнала с помощью чистого сигнала, который использует как эталонный в качестве отмеченных данных. Полученные изображения, несущие шум, разложены с использованием 2D-вейвлетов, ранжируя разложенные высокочастотные и низкочастотные коэффициенты, чтобы сформировать набор данных. Результаты моделирования показывают, что предложенный метод обеспечивает более высокую производительность шумоподавления с точки зрения пикового отношения сигнал/шум и среднеквадратической ошибки по сравнению с методами, использующими только нейронные сети. Представлен анализ влияния количества слоев сверточной нейронной сети на эффективность удаления шума нейронной сетью на основе вейвлет-преобразования

this article proposes an improved method for noise reduction of a two-dimensional image based on wavelet transform and a convolutional neural network,which allows suppressing random noise data generated by external or internal factors, reducingthe sharpness of images from unmanned aerial vehicles (UAVs). The actual signal differs from the noise after the wavelet transform and the transformed signal serves as input datato the neural network. A deep neural network is used to directly study the noise characteristicsin an image associated with the wavelet domain, which allows accurate and adaptive assessment of the noise level and distribution.A convolutional neural network removes noise froma signal using a pure signal, which it uses as a reference as marked data. The resulting noise-carrying imagesare decomposed using 2D wavelets, ranking the decomposedhigh-frequency and low-frequency coefficients to forma dataset. The simulation results show thatthe proposed method provides higher noise reduction performance in terms of peak signal-to-noise ratio and RMS error compared with methods using only neural networks. The analysis of the influence of the number of layersof a convolutional neural network on the efficiency of noise removalby a neural network basedon a wavelet transform is presented
Take Us Back to the Ball Game: The Laws and Policy of Professional Sports Ticket Prices
Authors: Scott Nathan
Published: September 2024

The prices of professional sports tickets have skyrocketed in recent years, depriving many fans of the time-honored tradition of taking their families out to a ball game. This Article argues that legal reform and political action are appropriate responses to these soaring prices.

First, the Article rebuts the threshold objection that economics alone justify current ticket prices. Professional sports teams reap a windfall from the public through corporate welfare, special-interest legislation, and favorable antitrust and tax laws. This preferential legal treatment undercuts the argument that teams are simply charging, or should charge, what the market will bear. In addition, teams cannot blame ticket prices on high player salaries, because the market for tickets is economically distinct from the market for players.

Next, the Article evaluates four possible legal or political responses to ticket prices: regulating professional sports leagues, eliminating their preferential legal treatment, taking individual teams through eminent domain, and encouraging local team ownership. It concludes that fans will be best able to keep tickets affordable by encouraging local governments, which have spent billions of dollars on stadium construction, to consider buying teams of their own.
Out of Thin Air: Using First Amendment Public Forum Analysis to Redeem American Broadcasting Regulation
Authors: Varona Anthony
Published: September 2024

American television and radio broadcasters are uniquely privileged among Federal Communications Commission (FCC) licensees. Exalted as public trustees by the 1934 Communications Act, broadcasters pay virtually nothing for the use of their channels of public radiofrequency spectrum, unlike many other FCC licensees who have paid billions of dollars for similar digital spectrum. Congress envisioned a social contract of sorts between broadcast licensees and the communities they served. In exchange for their free licenses, broadcast stations were charged with providing a platform for a "free marketplace of ideas" that would cultivate a democratically engaged and enlightened citizenry through the broadcasting of "public interest" programming.

Few, other than the broadcasters themselves, would dispute that this "public trustee" doctrine has been a dismal failure. In exchange for the tens of billions of dollars of advertising revenue generated by their licenses, commercial television and radio broadcasters air very little-and some air none-of the kinds of locally oriented public affairs, political, educational, and cultural programming traditionally considered "public interest" fare. Congress and the FCC have failed to correct the mismatch between the proven profit-making power of public trusteeship and its anemic returns for the American people. To the contrary, Congress and the FCC, captured by the broadcast industry they regulate, have continued to subsidize commercial broadcasters constructively by awarding them new lucrative digital channels at no cost to them, while lifting ownership concentration limits and eliminating or failing to enforce the few remaining public interest programming requirements.

This Article begins by surveying the history of the public trustee doctrine, its First Amendment contradictions, and the legislative and regulatory failures and frustrations that have bedeviled the pursuit of a 'free marketplace of ideas" on the nation's airwaves. It then explores the First Amendment's public forum doctrine as an alternative justification for government regulation of the public spectrum, reasoning in favor of the government's proactive creation and maintenance of public speech fora. After examining the Internet both as a public forum and as the sort of "free marketplace of ideas" that the broadcast spectrum was expected-but failed to create, this Article argues that an affirmative public forum doctrine supports a requirement that broadcasters subsidize broadband Internet access in low-income and underserved communities.
Race, Media Consolidation, and Online Content: The Lack of Substitutes Available to Media Consumers of Color
Authors: Baynes Leonard
Published: September 2024

In its 2003 media ownership proceedings, the FCC relied on the existence of the Internet to provide justification for radically relaxing the FCC ownership rules. These rules limited the national audience reach of the broadcast licensees and the cross-ownership of different media properties by broadcasters and newspapers. In relaxing these rules, the FCC failed to recognize that a media submarket for African Americans and Latinos/as existed. This separate market is evidenced by the different television viewing habits of African Americans and Latinos/as as compared to Whites and Billboard magazine's delineation of R&B/urban music radio stations as a separate radio station format. The FCC reliance on the Internet for these communities was misplaced because these communities are plagued by the Digital Divide, whereby African Americans and Latinos/as have lower Internet penetration rates than their White counterparts. The Internet fails to serve these minority submarkets. Access to the Internet at schools and libraries provides secondclass access for Internet users of color People are limited by the hours of operation of the schools and libraries. They are likely to be subjected to the budgetary limitations of the government institution. They may have to wait on long lines to gain access. Over-expansive filters may restrict Internet users from accessing important health information. Once the Internet user of color gains access to the Internet, he will find the web sites of the traditional media may have the same stereotypes and absences that exist on their broadcast channels. For all these reasons, the Internet fails as a substitute available to media consumers of color.
BIODEGRADATION OF SYNTHETIC PLASTICS BY FUNGAL SPECIES ISOLATED FROM SOIL
Authors: Rajdeep Rodge  , Rushikesh Tayde  , Aman Tiple
Published: September 2024

Excessive plastic use endangers both the environment and human life on Earth. Plastic accumulation on land and sea has sparked interest in degrading these polymers. To reduce the environmental impact of plastics, appropriate biodegradable methods must be used. Understanding the interaction of microbes and polymers is critical for overcoming the environmental problems associated with plastics. Many living organisms, primarily microorganisms, have developed strategies to survive and degrade plastics. The current review focusses on the various types of fungal species in our environment that are capable of degrading plastic, as well as the time it takes for fungal species to degrade plastic polymers. We have showed the degradation of thin plastic polymer with the isolated fungal species when we kept it for incubation at 27˚C for 44 days the degradation of plastic was found to be 4.85% with the biomass of 2.91g.
KEYWORDS: Polymer, Biodegradable, Fungal species, Biomass.
IMPACT OF ARTIFICIAL INTELLIGENCE ON E-COMMERCE:"A STUDY OF CONSUMER BEHAVIOR"
Authors: Kavya G B
Published: September 2024

Artificial Intelligence (AI) has transformed the e-commerce landscape, influencing consumer behavior significantly. This study aims to explore the various ways AI impacts e-commerce, utilizing numerical data to analyze consumer preferences, purchasing patterns, and overall shopping experiences. The findings reveal both advantages and disadvantages, providing a comprehensive overview of AI's role in shaping modern consumer behavior.
This study examines the transformative effects of artificial intelligence on E-commerce and consumer preferences and purchasing patterns have evolved. this paper analyzes various numerical data, identifies key trends, and discusses the advantages and disadvantages of AI in E-commerce. In online shopping enterprises, AI technology has been widely used to provide accurate and fast personalized consumer services.
This research demonstrates the use of AI technology in the e-commerce business, specifically online enterprises, to determine different effects. The study was conducted in Jordan and involved about 230 participants. The study evaluated different impacts of AI, such as e-payment and stimulating consumers' sentiments. The study used the Stimulus–Organism–Response model (SOR) empirical model, which states that the examination of human processes differs from that of the machine assessment. The model classified the AI technology experienced by the customers' when they visit online to do purchasing. Online purchasing behaviors can be influenced by insight, accuracy, and interaction experience. Also, the perceived value was used as a mediating variable from the prospects of perceived hedonic and utility value. The research integrated empirical research models such as SEM and SPSS to analyze the data on the effects of three-dimension. The results indicated that the AI technology accuracy, interactive experience, and insight significantly affected customers' perceived hedonic and utilitarian values.
KEYWORDS: AI in consumer behavior, Artificial Intelligence etc
Impact of Behavioural Finance on Investors’ Attitudes Towards Investment in Secondary Market
Authors: - Rajeev Jain , - V.K. Jain , - Varun Bhaskar , - Saloni Sharma , - Nileshwari Yadav
Published: September 2024

This research explores some of the unanswered important questions about stock markets that can be examined and investigated by an emerging field, behavioural finance. It also explains the factors responsible for the unusual movements in the stock markets, which could not be fully explained by the theories of traditional finance. This study shall examine three important attitudes displayed by the investors. They are: ‘Expectations’ those investors have about the future performance of the stock market in India; ‘Confidence’ that investors have regarding their investments; and ‘Herd Instincts’ so investors tend to herd together. Present study shall also analyze the Investors’ preference towards
traditional trading and online trading.
Design and development Of Automatic Hydrophonics using IOT with data logging
Authors: - Sathiyapriya , - Haribabu
Published: September 2024

The main goal of the research work is build an IOT based hydrophonics system that will improve system reliability and allow for remote parameter administration and monitoring
A Study on Payroll Administration
Authors: - Fazlool Rahman U , - Baig Mansur Ibrahim
Published: September 2024

The study is an outcome of the topic “A STUDY ON PAYROLL ADMINISTRATION”.
The project “Payroll Administration” aims to streamline and enhance the payroll processes by implementing a comprehensive and user-friendly payroll management system.
In the study samples were taken to study about the payroll administration .Primary data such as Questionnaire have been conducted to collect the data from the employees. Generally statistical tools such a percentage method , Chi-square , Correlation method have been used for analysis and interpretation.
By leveraging cutting-edge technology, the project seeks to improve accuracy, efficiency, and overall employee satisfaction in payroll administration.
Appraise the Outcome of Nurses Led Intervention Concerning Impact of Imposter Syndrome among School Educators
Authors: - Mrs. Mabil Jaison , - Ms. Oshin Jamra , - Ms. Pooja Dawar , - Ms. Priyanka Chouhan
Published: September 2024

Imposter syndrome, a term coined in the late 1970s by psychologists Pauline Clance and Suzanne Imes, refers to the persistent feeling of inadequacy and self-doubt despite evident accomplishments and success. It's a phenomenon that affects individuals across various demographics, from accomplished professionals to students and artists. At its core, imposter syndrome manifests as an internalized fear of being exposed as a fraud, despite external evidence suggesting competence. This psychological phenomenon often emerges in high-achieving individuals who struggle to internalize their accomplishments, attributing their success to luck or external factors rather than their own abilities. They may harbor a constant fear of being "found out," leading to stress, anxiety, and a pervasive sense of unworthiness. The aim of this study is to appraise the extensiveness of imposter syndrome among school educators and its impact on their self-esteem. Exploratory findings suggest that imposter syndrome is extensive among school educators, affecting both novice and experienced professionals. The observation of imposter syndrome negatively influences educators' self-esteem, leading to reduced job satisfaction, burnout, and decreased performance. Several contributing factors were identified, including high expectations, social comparison, perfectionism, and lack of recognition or support. Based on the findings, this review study highlights the need for increased awareness and support systems within educational institutions to address imposter syndrome among educators. Effective interventions, such as mentoring programs, professional development opportunities, and promoting a culture of psychological safety, can help mitigate the negative impact of imposter syndrome on self-esteem and enhance educators' overall well-being.
Utilizing Machine Learning for Intelligent Data Management in Event-Driven Microservices Architectures
Authors: - Sambhav Patil , - Mayur Prakashrao Gore
Published: September 2024

The following research paper is a case study of three specific machine learning algorithms, LSTM networks, GBMs and RL for managing data in event-driven microservices architectures. This work assesses the performance of these algorithms using factors including anomaly detection, resource consumption prediction, and service coordination concerning such challenges as anomalies. LSTM networks was used in assessment of the anomalous patterns with accuracy reaching 92%, and false positive rate of 5%. The ability of the GBMs was evaluated for its capacity to accurately predict resource requirements, and in turn, minimize resource over-commitment and under-commitment that occurred, achieving 89% accuracy, with a percentage variation of 18% and 14% accordingly. The RL algorithms proved their potential to enhance the decision-making process governing the orchestration of services and failure recovery with the decision-makers achieving 22% increase in decision making accuracy and failure recovery time was reduced to 4. 5 minutes. These algorithms are discussed separately in the next sections with reference to their applications in intelligent data management in business event processing system. These findings are useful to improve the application of these machine learning techniques to increase the performance, utilization of resources and reliability of the system.
Smart Shoes for the Visually Impaired: Integrating Google Assistant and Google Maps
Authors: - Harmanpreet Singh , - Pankaj Kaushal
Published: September 2024

The research paper has been written to help visually impaired persons. As it was observed that while commuting there were many barriers and obstacles which they need to bear. Individually, they face significant risks while moving from one location to another. It is really difficult for them to locate the hurdle instantly in their path, as they are unaware of the barriers in front of them. Based on the previous researches it was seen that visually impaired persons are more prone to accidents, Unintentional injury, mishaps, injuries, and crashes during their journey (Legood et al., 2002; Felson at al. 1989; Arfken et al., 1994; Ivers et al., 1998; Lord, 2006; Glynn at el., 1992; Roberts & Roberts, 1995).

Till now, visually impaired persons are using white cane; which help them scan for obstacles and orientation marks. The cane will also inform the passerby to go slow and take appropriate steps to help them, while they move or walk. In this paper, the authors have tried to build an electronically aided shoe for the help and provide an ease for visually impaired persons. The proposed framework for the e-shoes will identify objects or impediments up to a specific distance and deliver an audio or vibrator alarm message to the receiver. This will help blind persons to recognize objects on their path instantly through an alarm and will prevent any accidents
Assessment of Level of Implementation of Infection Control Guidelines in Sub District Hospitals in Gadag District by using Kayakalp Assessment Tool
Authors: - Manjegowda H P , - Gulappa Devagappanavar
Published: September 2024

Infection control is one of the main tenets of the "Kayakalp" movement. Well-kept and sanitary surroundings improve the hospital's image in the eyes of both patients and visitors. They also help the healthcare facility (HCF) create an atmosphere that reduces the number of hospital-acquired infections (HAI).
Patients within hospitals and other healthcare establishments are vulnerable to healthcare-associated infections, commonly referred to as "nosocomial" or "hospital" infections, which are neither present nor in an incubating stage at the moment of admission. This category also encompasses occupational ailments among healthcare personnel and diseases contracted by patients during their hospitalization, which manifest after their discharge.
Globally, nosocomial (hospital-acquired) infections constitute a significant and escalating concern. In the absence of adequate preventive strategies, individuals receiving medical treatment in any healthcare establishment face the risk of acquiring an infection. Healthcare-associated infections not only result in additional suffering but also impose substantial financial burdens on patients and their families, akin to numerous other issues related to patient safety. Antibiotic resistance is a result of infections, which also lengthen hospital stays, cause chronic disability, greatly increase the financial burden on healthcare systems, raise costs for patients and their families, and result in avoidable deaths. The present study results are intended to clarify the current state of infection control practices in the Gadag district's sub-district hospitals and identify possible areas for improvement.
An Analysis of the Effects of Space Conditions on Human Physiology, Psychology, and Genetics, and their Implications for Medicine on Earth
Authors: - Kushi Tummala
Published: September 2024

As of November 2023, 676 people have journeyed into space. As this number continues to rise every year, with plans for further, long-term space exploration extending even into the 2030's, it becomes increasingly important to form a comprehensive analysis of the challenges posed by harsh space conditions on human physiology, genetics, and general systems. Understanding these factors can in turn help reinvent medical techniques on Earth, such as the use of pressure adjustable suits to combat extreme acceleration and change in gravitational force for people suffering from postpartum haemorrhages. This paper delves into two main themes: firstly, the impacts of conditions like micro-gravity, galactic cosmic rays, and isolation on systems such as telomere length, neuro-ocular, and cardiology, and secondly, how these difficulties can be used to advance treatment for illnesses on Earth. This is essential to lay out a framework and area of reference for future space missions and possible developments in medicine - both in space and on Earth.
AI Driven Monetary Policy in the Era of Digital Currency
Authors: - Arjun Kumar
Published: September 2024

The use of Artificial Intelligence in monetary policy of digital currencies is a very new area. Although Machine learning is at the heart of Artificial Intelligence, new aspects like Reinforcement Learning (RL) and Recurrent Neural Networks have been created to train AI on complex macroeconomic events and make monetary policy decisions. This is a review paper based on multiple literature survey
Multiple Intelligence
Authors: - Aditya Kumar , - Dr.Sushma Shrivastava , - Jyoti Tiwari
Published: September 2024

There are maniple ways of learning and there are many of receiving information asl
expression ourselves. Careener introduced and also defined different kinds of intelligence.
Multiple intelligence box significant relationship with student achievement. Academicwheelmen needs understanding of concepts, remembering and presenting those concepts
correctly @rough examinations. For this, rigidness of the curriculum has to be removed.
Federated Learning Frameworks for Secure and Decentralized Authentication
Authors: - Merlin Balamurugan
Published: September 2024

Federated Learning (FL) is a cutting-edge machine learning approach that enables multiple or edge devices to train models collaboratively without sharing sensitive data. This approach not only ensures the privacy and security of data by keeping it localized but also promotes the collective improvement of machine learning models across various participants. A systematic literature review explored integrating Blockchain technology with federated learning. Blockchain's potential to address existing security and privacy vulnerabilities in traditional federated learning systems is analyzed in depth. One of the key benefits of combining Blockchain with FL is enhanced protection against potential attacks, such as data tampering or unauthorized access. The study also examines how Blockchain-based federated learning systems can offer better records and rewards management, contributing to fairer and more transparent systems. In addition, Blockchain's role in improving verification and accountability within federated learning frameworks has been critically evaluated. By integrating Blockchain, federated learning can achieve higher levels of trust and security in collaborative machine-learning processes. The latest research highlights innovative Blockchain-based methods that tackle these challenges, ensuring robust privacy and security measures. Overall, this approach represents a significant advancement in distributed machine learning, aligning with contemporary needs for data protection and collaborative efficiency.
AI-Powered Content Marketing: Leveraging Algorithms for Creative Content Creation and Distribution
Authors: - Trisha Dhawan
Published: September 2024

This research investigates the growing influence of Artificial Intelligence (AI) in content marketing, specifically focusing on its role in enhancing both the creative and distribution aspects of marketing strategies. As businesses increasingly adopt AI technologies, tools such as GPT-4, Jasper, and Copy.ai are reshaping content creation by automating time-consuming tasks and delivering personalized content to targeted audiences. This study examines how AI is revolutionizing marketing by offering data-driven insights, enabling real-time feedback, and optimizing distribution methods to improve engagement and conversion rates. The paper also addresses key ethical concerns surrounding AI in marketing, such as the potential impact on creativity, privacy, and the need for human oversight to maintain authenticity in brand messaging. By exploring future trends, including the integration of augmented reality (AR) and advancements in predictive analytics, this research highlights how AI is set to drive the next wave of innovation in content marketing.
Real-Time Table Tennis Scoring and Player Position Tracking System Using Computer Vision
Authors: - Harsh Jain , - Aarsh Sharma , - Yadnyesh Thakare , - Dr. Pravin Shinde , - Prof. Bhagyashree Patil , - Dr. Nilakshi Jain
Published: September 2024

This study focuses on developing a system that uses state-of-the-art computer vision techniques to improve the accuracy and efficiency of table tennis tracking. The table tennis ball's trajectory and movement are tracked automatically by the system using a mobile camera array, allowing for real-time score updates without the need for human participation. This method guarantees precise and seamless scoring, freeing players from worrying about maintaining score and allowing them to concentrate fully on the game. The system uses player pose estimation technologies in addition to real-time scoring to track and record player positions and motions during the match. The system may provide a thorough study of player motions, including tracking posture and finding important motion patterns, by gathering and analyzing skeletal data.