bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of the relationship between uniaxial compressive strength vs non-destructive testing and specific weight in bank rocks from the Seybaplaya Campeche Mexico
Authors: Naal-Pech José Wilber , Palemón-Arcos Leonardo , Gutiérrez-Can Yuriko , El Hamzaoui Youness
Published: May 2024

This research study focuses on analyzing the uniaxial compressive strength of rocks and its correlation with non-destructive testing (Schmidt hammer) and specific gravity. It is important to note that Seybaplaya, located in Campeche, Mexico, is known for its fishing, industrial, and commercial activities. Samples from one of the main active quarries in the state of Campeche were used for the investigation. As a result, equations were developed to predict the simple uniaxial compressive strength based on values obtained from the Schmidt hammer and specific gravity. It is relevant to highlight that these relationships are only valid for rocks with lithological characteristics similar to those used in this study. The results of the analysis and the conclusions demonstrate the non-linearity of the relationships between simple uniaxial compressive strength, non-destructive testing, and specific gravity.
How IoT improves pool safety and management in the hotel sector
Authors: Naal-Pech José Wilber , Palemón-Arcos Leonardo , Gutiérrez-Can Yuriko , El Hamzaoui Youness
Published: May 2024

Pool monitoring is emerging as an integral component in the management of aquatic facilities, such as hotels, resorts and recreational centres, where pools play a central role in the guest experience. This advanced technology provides a proactive platform for maintaining the safety, hygiene and optimal operation of these recreational and relaxation spaces.
Conceptos clínico-patológicos de la punción biopsia de hígado
Authors:   , Sobredo Enrique Eduardo
Published: May 2024

La punción biopsia cuando es hecha con correcta técnica es de fácil ejecución y de gran exactitud como método de exploración funcional. Se aprecian desde enormes alteraciones celulares hasta las mínimas representadas en el condrioma celular. El Profesor Dr. Andrés E. Bianchi mediante el auxilio del microscopio de contraste de fase, estudia el condrioma hepático. La microscopia de contraste fásico fue utilizada ya con gran éxito en los EE.UU para el estudio del pancreas en las diabetes. Fueron descubiertos nuevos conocimientos celulares que hasta el momento permanecieron oscuros hasta con las más grandes amplificaciones de los métodos microscópicos corrientes. Es posible seguir la evolución de por ej. la esteatosis. Se puede avizorar el pronóstico del caso; por ejemplo, en las hepatitis epidémicas. La punción biopsia, permite estudiar los procesos que debido a su benignidad nunca llegan a la mesa de necropsia.
Intubación intestinal
Authors:   , Santos Oscar Aurelio
Published: May 2024

Dentro de los cuadros que nos ofrece el llamado abdomen agudo quirurgico, existe indudablemente uno que por su importancia, frecuencia y gravedad necesita de especial estudio por parte del médico: me refiero a la "Oclusión Intestinal Aguda". Entidad que presentaba años atrás una mortalidad que oscilaba alrededor del 100 desciende a principios de este siglo a cifras entre el 50 y el 70 El aporte de los conocimientos que sobre hidratación se obtienen alrededor de 1912 reduce estas cifras a un 30 %, hasta que los trabajos de Wangesteen, Harris, Smith y Prat hace descender la mortalidad en manos capacitadas a un 10%. Es interesante notar entonces el advenimiento de este método terapéutico, que ha dado el título a este trabajo de tesis, beneficia de manera notable los cuadros de obstrucción intestinal.
A Novel Approach for Identifying Unobserved Heterogeneity in Longitudinal Growth Trajectories Using Natural Cubic Smoothing Splines
Authors: Marcoulides Katerina M. , Trinchera Laura
Published: May 2024

A novel algorithmic modeling method is proposed to determine dissimilarities between subjects for longitudinal data clustering using natural cubic smoothing splines. Although various modeling techniques have to date been suggested for conducting such analyses, a major problem with many of these approaches is that they often impose overly restrictive assumptions. As a consequence, potentially problematic interpretations of data clustering regarding both the number and the nature of the growth trajectory patterns can occur. The proposed method is shown to be highly effective in identifying heterogeneity of growth trajectories in settings with data exhibiting complex nonlinear longitudinal patterns and without imposing potentially problematic constraints on the model.
Sistem Monitoring Capaian Pembelajaran di SMKN 1 Kota Bima Berbasis Web dan Android
Authors: Nastain Whitnu , Ikrimach Ikrimach
Published: May 2024

In the process of teaching and learning, there is always a specific goal to be achieved, aiming to fulfill and produce a set of achievements targeted by a subject teacher. Each subject has different learning outcomes. Supervision of learning outcomes is necessary to ensure that both students and teachers can achieve the agreed-upon or school-established learning outcomes. Throughout this process, schools face difficulties in carrying out supervision to ensure that learning outcomes are met. This challenge underscores the need for an application that can assist in the supervision of learning outcomes, aiding schools in ensuring that both teachers and students can successfully achieve the set learning outcomes. The application development process utilizes the waterfall method, with data collection using documentation techniques. The programming languages used are Dart and PHP. The developed application includes the ability to monitor quiz scores, assignment grades, student attendance levels, as well as creating an interactive and engaging discussion forum. After implementation and testing, the application proves to be highly effective in fulfilling its function of supervising learning outcomes. In summary, during the teaching and learning process, the primary objective is to achieve the set learning outcomes. The challenges faced by schools in supervising these outcomes emphasize the necessity for an application that can facilitate this process, ensuring the successful attainment of learning goals by both teachers and students. The development process, using the waterfall method, along with Dart and PHP programming languages, results in an application with features such as quiz and assignment monitoring, attendance tracking, and an interactive discussion forum. The successful implementation and testing demonstrate the application's effectiveness in supervising learning outcomes, providing a practical and efficient solution for schools to monitor and enhance the quality of education.
Perbandingan Algoritma Naive Bayes Berbasis Feature Selection Gain Ratio dengan Naive Bayes Kovensional dalam Prediksi Komplikasi Hipertensi
Authors: Putra I Made Arya Adinata Dwija , Sunarya I Made Gede , Gunadi I Gede Aris
Published: May 2024

High blood pressure is a significant public health problem with a high prevalence in the Indo-nesian population. 2018 Riset Kesehatan Dasar (Riskesdas) data shows a prevalence of hyperten-sion of 34.1% in individuals aged 18 years and over, with the highest figure in South Kalimantan and the lowest in Papua. Complications arising from hypertension can have serious impacts on organs such as the brain, eyes, heart and kidneys. The Naive Bayes algorithm is generally used in disease prediction, but the Naive Bayes algorithm has problems when selecting attributes, because Naive Bayes itself is a statistical classification method that is only based on Bayes' Theorem so it can only be used with the aim of predicting the probability of membership in a group or class. So attribute weighting is needed to increase accuracy more effectively. This research introduces Gain Ratio as an attribute weighting method to increase the accuracy of Naive Bayes. The aim of this study was to compare conventional Naive Bayes with Naive Bayes Gain Ratio in predicting complications of high blood pressure. The research results show that feature selection with gain ratio weighting can increase the accuracy of naive Bayes classification, with an average increase in accuracy of 20% compared to naive Bayes without feature selection. The precision value increased by 21% in the naive Bayes gain ratio algorithm for the kidney failure class, an increase of 3% in the heart class, and an increase of 31% in the stroke class, for the recall value the naive Bayes gain ratio increased by 35% in the heart class while in the kidney failure and stroke classes did not increase the recall value.
IMPLEMENTASI PENGGUNAAN ALGORITMA A* PADA PENENTUAN JARAK TERPENDEK DARI CILACAP KE YOGYAKARTA
Authors: Maula Ahmad Satria Rizqi , Tundo  , Adrianto Sopan , Kastum  , Sutisna Nandang
Published: May 2024

Penelitian ini bertujuan untuk meningkatkan efisiensi penentuan rute terpendek dari Cilacap ke Yogyakarta dengan menerapkan Algoritma A*. Metode penelitian ini melibatkan tahap pengumpulan data perjalanan untuk memahami kondisi jalan dan parameter lain yang memengaruhi perjalanan. Data tersebut kemudian digunakan untuk membentuk representasi graf, menciptakan suatu model yang merefleksikan koneksi antar lokasi dan memfasilitasi implementasi Algoritma A*. Penggunaan Algoritma A* memungkinkan penemuan jalur terpendek dengan meminimalkan biaya perjalanan. Hasil analisis menunjukkan bahwa implementasi ini berhasil meningkatkan efisiensi penentuan rute dengan perbedaan waktu tempuh yang signifikan dibandingkan dengan metode tradisional. Dalam konteks perancangan keputusan, penelitian ini mengintegrasikan kemampuan pengambilan keputusan otomatis berdasarkan analisis data, memungkinkan sistem untuk merespons perubahan kondisi jalan secara dinamis. Dengan demikian, penelitian ini tidak hanya meningkatkan akurasi penentuan rute tetapi juga berpotensi memberikan kontribusi pada pengembangan sistem navigasi yang adaptif dan efisien.
ANALISIS MINAT BELI PRODUK FASHION MENGGUNAKAN ALGORITMA FP-GROWTH (FREQUENT PATTEN GROWTH)
Authors: Handayani Tineka , Sunaryo Muhamad Aditya , Rinaldi Ade Rizki , Rohmat Cep Lukman
Published: May 2024

Toko Sahabat Collection adalah toko pakaian yang menjual berbagai produk fashion dan memiliki data penjualan yang sangat besar. Penjualan produk fashion di toko ini sangat diminati oleh pelanggan. Penelitian mencakup informasi penjualan produk dari tahun 2021 hingga tahun 2022, termasuk tanggal transaksi, code produk, barcode, dan item produk. Langkah awal dalam penelitian ini melibatkan pemilihan data dengan memilih atribut yang relevan dan menghapus data yang tidak lengkap. Selanjutnya, data yang sudah divalidasi diubah menjadi format tabular. Proses selanjutnya melibatkan penerapan teknik data mining, seperti algoritma asosiasi rule, untuk meningkatkan target penjualan. Penelitian ini bertujuan untuk mengetahui pola minat beli produk yang diminati oleh pelanggan di toko sahabat collection yang dapat dipengaruhi oleh beberapa faktor seperti harga kualitas produk dan kebutuhan customer. Minat beli konsumen dianggap sebagai faktor kunci yang sangat penting dalam ruang lingkup bisnis, penelitian ini menerapkan metode data mining asosiasi, dengan fokus khusus pada algoritma FP-Growth, untuk menganalisis pola pembelian produk secara bersamaan. Hasil dari penelitian ini menunjukkan 32 aturan dengan minimum support 0,1 dan confidence 0,8. Salah satu aturan terbaik yang dihasilkan adalah: jika pelanggan membeli Hijab Ar Rafi, Hijab Bergo Pita, dan Kaos Kaki Hitam Smp, maka kemungkinan besar mereka juga akan membeli Sepatu Nb K, support 0,105 (10%) dan Confidence 0,949 (94%).
Penggunaan Papa Alfabet dan Kartu Huruf dalam Meningkatkan Membaca Permulaan Pada Anak Kelompok B di TK Al-Aqsha Parepare
Authors: Annisa Putri , Walfaidzin Muthmainnah , Asqia Nurul
Published: May 2024

Membaca sejak dini sangat penting untuk diajarkan kepada anak, karena jika sudah bisa membaca juga dapat mempengaruhi perkembangan bahasa pada jenjang sekolah selanjutnya Penelitian ini dilakukan untuk mengetahui bagaimana penggunaan papan alfabet dan kartu huruf dalam meningkatkan kemampuan membaca permulaan pada anak usia dini. Teknik pen penerimaan ibu terhadap anak down syndrome usia tiga tahun. Teknik pengumpulan data yang digunakan adalah dokumentasi, observasi dan wawancara. Subjek dalam penelitian ini adalah siswa kelompok A yang ada di TK Al-Aqsha yang berlokasi di kota Parepare. Hasil dari penelitian menunjukkan bahwa siswa kelompok A yang ada di TK Al-Aqsha rata-rata masih banyak yang belum mengetahui huruf dan hanya mengetahui huruf vocal. Hanya saja setelah diperkenalkan menggunakan papan Alfabet dan kartu huruf, mereka akhirnya bisa menyebutkan huruf-huruf selain dari huruf vocal tersebut.
MENINGKATKAN KEMAMPUAN KONSENTRASI ANAK MELALUI MEDIA PUZZLE PADA ANAK KELOMPOK B DI RA UMDI AL-IHSAN PAREPARE
Authors: Palintan Tien Asmara , Nurul Asqia  , Hariska
Published: May 2024

Tujuan penelitian ini yaitu untuk meningkatkan kemampuan konsentrasi anak dengan menggunakan media Puzzle.  Metode penelitian ini merupakan metode penelitian kulalitatif dengan menggunakan pendekatan studi kasus dalam pengumpulan data. Adapun metode pengumpulan dan pengelolaan data yaitu menggunakan metode observasi, dokumentasi dan  wawancara. Hasil dari penelitian yaitu dengan menggunakan media puzzle kemapuan konsentrasi anak meningkat, dimana seorang pendidik menggunakan metode bermain sambil belajar agar anak dapat berkonstrasi dan dapat melatih kesabaran anak dalam menyusun media puzzle.
IMPLEMENTASI PEMBERIAN REWARD MELALUI PENGGUNAAN TABUNGAN BINTANG DALAM MEMBENTUK KEMANDIRIAN ANAK USIA DINI 4-5 TAHUN DI RA AL-GHAZALI
Authors: Aja Raihand Sofia  , Muhammad Basri
Published: May 2024

Pengertian mandiri adalah sikap dan perilaku tanpa bantuan orang lain. Penghargaan adalah penghargaan yang bersifat menguntungkan bagi peserta yang dibesarkan, dan penghargaan tersebut diberikan kepada anak yang mampu menyelesaikan suatu hal dimana anak tersebut mampu mencapai suatu target yang telah diberikan. Tujuan dari penelitian ini diantaranya: untuk mengidentifikasi bagaimana sikap belajar yang dilakukan anak usia 4-5 tahun di RA Al-Ghazali, untuk mendeskripsikan pelaksanaan dalam pemberian reward tabungan bintang dalam membentuk kemandirian anak usia 4-5 tahun di RA Al-Ghazali, dan untuk menggambarkan hasil yang dicapai setelah pemberian reward melalui penggunanaan bintang tabungan pada anak usia 4-5 tahun di RA Al-Ghazali. Penelitian ini merupakan kualitatif yaitu menggunakan metode kualitatif deskriptif dan pengumpulan data dengan wawancara, observasi, dan studi dokumen. Teknik analisis data pada penelitian ini dengan reduksi data, menampilkan data dan menarik kesimpulan.Teknik pemeriksaan keabsahan data dalam penelitian ini dilakukan dengan triangulasi. Hasil pelitian mengungkapkan bahwa nilai rata-rata semua anak adalah 4,72 yang berarti kemandirian anak menunjukkan perubahan yang cukup efektif dan signifikan. Sehingga dapat ditarik kesimpulan bahwa pelaksanaan pemberian reward melalui penggunaan tabungan bintang dapat membentuk kemandirian anak usia 4-5 tahun di RA Al-Ghazali
Kata kunci : kemandirian, imbalan (penghargaan), tabungan bintang
PENERAPAN METODE TIME OUT DALAM MEMODIFIKASI PERILAKU MANIPULATIVE TANTRUM PADA ANAK USIA 4-5 TAHUN DI DESA MIRRING KABUPATEN POLEWALI MANDAR (STUDI KASUS)
Authors: Suridha Suridha , Asqia Nurul , Ashari Novita , Aulia Fitriani sulva
Published: May 2024

Pada anak usia dini  berbagai macam masalah perilaku yang terkadang sulit untuk diatasi dan membutuhkan metode yang tepat dalam mengatasi perilaku tersebut.  Salah satu masalah perilaku anak yaitu perilaku manivulative tantrum. Dimana perilaku tersebut muncul apabila keinginan anak tidak terpenuhi, dan salah satu perilaku yang ditunjukkan yaitu memberontak. Metode yang dapat diterapkan untuk memodifikasi perilaku tersebut adalah metode time-out. Penelitian ini bertujuan untuk mengetahui efek penerapan metode time-out dalam memodifikasi perilaku manipulative tantrum pada anak usia 4-6 tahun. Penelitian ini menggunakan metode penelitian kualitatif, dengan jenis studi kasus. Subjek dalam penelitian ini adalah anak berumur 5 tahun yang mengalami perilaku manipulatif  tantrum. Teknik pengumpulan data yang dilakukan dalam penelitian  ini yaitu observasi dan wawancara. Hasil penelitian menunjukkan bahwa dengan menggunakan  metode time out dalam mengatasi perilaku manipulatif tantrum pada anak, penerapan metode tersebut efektif untuk diterapkan pada anak yang mengalami perilaku negatif tersebut.
MENINGKATKAN KEMAMPUAN BERBAHASA ANAK USIA DINI MELALUI METODE BERCERITA
Authors: Sovia Ikhwani Putri
Published: May 2024

Penelitian ini bertujuan untuk mengeksplorasi dan menganalisis efektivitas metode bercerita dalam meningkatkan kemampuan berbahasa anak usia dini. Metode ini dipilih sebagai fokus utama karena memiliki potensi untuk merangsang perkembangan bahasa pada periode kritis pertumbuhan anak. Penelitian dilakukan melalui pendekatan eksperimen dengan melibatkan dua kelompok kontrol dan intervensi yang terdiri dari anak-anak usia 3-5 tahun dari taman kanak-kanak lokal. Kelompok intervensi mengikuti sesi bercerita terstruktur yang dirancang untuk merangsang pemahaman bahasa, kosa kata, dan keterampilan berbicara. Sementara itu, kelompok kontrol mengikuti kegiatan pembelajaran konvensional tanpa fokus khusus pada metode bercerita. Data dikumpulkan melalui observasi, tes tertulis, dan wawancara dengan guru serta orangtua. Hasil penelitian menunjukkan peningkatan yang signifikan dalam kemampuan berbahasa kelompok intervensi dibandingkan dengan kelompok kontrol. Anak-anak yang terlibat dalam metode bercerita menunjukkan peningkatan yang nyata dalam pemahaman bahasa, ekspresi verbal, dan penguasaan kosa kata. Temuan ini mendukung hipotesis bahwa metode bercerita dapat efektif sebagai pendekatan pembelajaran untuk meningkatkan kemampuan berbahasa anak usia dini.
Ukrajna területvédelmi rendszere
Authors: Molnár Gábor
Published: May 2024

Ukrajna 2013-tól folyamatos lépéseket tett területvédelmi rendszerének fejlesztésére és átalakítására. Az ezzel kapcsolatos különböző elgondolások az éppen fennálló helyzetre való tekintettel többször is módosultak az országot ért, 2022. február 24-ei orosz támadást megelőzően. A tanulmány az ukrán területvédelmi rendszernek az említett időintervallumban történő fejlesztési folyamatát ismerteti.
Az Iszlám Állam újabb térnyerése: az Iszlám Állam – Mozambik
Authors: Nagy Imre
Published: May 2024

Szinte észrevétlen maradt hazánkban a 2017 óta zajló konfliktus Mozambik északi Cabo Delgado tartományában, melynek gyökerei a múltba és az ország határain túlra mutatnak. A tisztánlátást nagyban nehezíti, hogy az ottani kormány nem enged újságírókat, kutatókat és független szervezeteket a harcok sújtotta északi térségbe, az államilag vezetett „sajtótúrák” mellett csak a kétes hitelességű hivatalos kormányjelentések, a menekültek beszámolói, illetve a másik (terrorista) oldal1 propagandacélzatú megjelenései adnak támpontokat a helyzet megismeréséhez.
Construction Waste Management from Environmental Law Perspective in Indonesia
Authors: Hansen Seng
Published: May 2024

Several prior studies have linked the relationship between construction activities and environmental degradation. This research focuses on one of the major issues confronting the Indonesian construction industry, namely construction waste management. In practice, construction waste cannot be avoided and thus must be managed properly. Using a descriptive normative legal study approach and a case approach, this research seeks to investigate the practices and conditions of construction waste management as well as the regulatory legal framework related to construction waste management in Indonesia. This study found that the practice of implementing construction waste management varies greatly depending on the understanding and skills of construction business actors, especially contractors and subcontractors. In addition, normative studies show that there is no regulation that specifically regulates the management of construction waste in Indonesia. Therefore, this research contributes by: (1) encouraging the government to make policies that specifically regulate construction waste management, (2) encouraging periodic monitoring and supervision efforts on the implementation of construction waste management, and (3) encouraging the active participation of the community to participate in supervising the execution of construction projects, especially regarding the management of construction waste. Therefore, this study emphasizes the importance of a legal framework for construction waste management in order to realize sustainable construction.
A Constitution without Constitutionalism: A Gambian Paradox
Authors: Mendy Ousu
Published: May 2024

Constitutionalism and democratization are the current governance trends in Africa, and these are complemented with new constitutions. The Gambia is not an exception as it transcends from dictatorship. However, the country faces a paradoxical menace of a constitution without constitutionalism as it faces deficit of constitutionalism in praxis despite its theoretical deliberation in the State’s 1997 Constitution. This research uses doctrinal or normative legal research with focus on provisions of laws, books, journal articles and other secondary materials that speak to the facts in issue. This Africa’s smallest mainland country is a victim of the 1884 – 1885 Berlin Conference as it still tries to give much premium to foreign legal systems over customary practices of the people before this Berlin project. While constitutionalism seeks to limit the power of the government, its most critical constituent as regards the concept of constitution without constitutionalism is the rule of law. The rule of law premises on the ground that all state’s constituents must be subject to the law. Therefore, the metaphor of a saviour, savage, and victim as the 1997 Constitution, the State and freedom of expression respectively suggests the totality of the complexity of a constitution without constitutionalism.
A NEWLY ENHANCED TWO-LANE LATTICE HYDRODYNAMIC MODEL IS BEING UTILIZED TO EXPLORE THE INFLUENCE OF LANES ON JERK
Authors: Mehra Meenakshi , Mehra Rinku , Redhu Poonam
Published: May 2024

This present study confronts the challenges arising from the prevalence of non- motor vehicles on twolane roads by developing and analyzing a lattice hydrody- namic (L-H) model that incorporates jerk
dynamics. The research adopts a three- phase methodology, initiating with a comprehensive examination of the system's
stability using linear analysis and phase diagrams. Subsequent phases involve an in-depth exploration of the derivation of the
modied Korteweg–de Vries (mKdv) equation and its solution in non-linear analysis, particularly as trafc ow ap- proaches
critical points during phase transitions. To substantiate the theoretical and analytical conclusions, the study employs simulated
analysis, ensuring a thorough validation of the proposed model. The assessment highlights the model's exceptional
performance, especially in the con- text of two-lane roads featuring non-motor vehicles, spanning both urban and rural
environments. This present research provides the trafc ow dynamics, present- ing a nuanced understanding of how nonmotor vehicles impact two-lane road systems.
COMPREHENSIVE REVIEW OF BULLOUS PEMPHIGOID: PATHOGENESIS, CLINICAL MANIFESTATIONS AND MANAGEMENT STRATEGIES
Authors: Pico Agamez Ana Yurley
Published: May 2024

Bullous pemphigoid (BP) is the most prevalent autoimmune blistering disease, primarily affecting the
elderly, with an incidence ranging from 2 to 42 cases per million annually and a global prevalence of 49 to
169 cases per million. BP is characterized by subepidermal blister formation due to autoantibodies targeting hemidesmosomal
proteins, notably BP180 and BP230. Classication includes typical BP and mucous membrane pemphigoid, among others.
Pathogenesis involves autoantibody production targeting hemidesmosomal proteins, complement activation, and
inammatory cell recruitment. Clinical manifestations include itching, erythema, urticarial plaques, and tense bullae, with
mucous membrane involvement less common. Diagnosis relies on clinical, histological, and immunological ndings.
Management includes systemic corticosteroids, immunosuppressive agents, and biologic therapies, along with supportive
care.
SEROPREVALENCE OF CHIKUNGUNYA CASES IN A TERTIARY CARE HOSPITAL: A RETROSPECTIVE STUDY
Authors: Kanani Komal , Mullan Summaiya
Published: May 2024

Purpose: The Chikungunya virus, an Alpha member of the Togaviridae family, is the cause of
chikungunya and is spread via the Aedes aegypti and Aedes albopictus mosquito vector. A chikungunya
(CHIK) outbreak resurfaced in several Asian countries in 2005–2006. A widespread outbreak of Chikungunya cases occurred in
India in 2006, and the disease continues to be a serious public health concern today. India saw a signicant epidemic in 2016,
and with 27.3 thousand cases in 2021, Gujarat has the second-highest frequency. Due to the dengue outbreak in a country like
India, the chikungunya viral infection is still remains underdiagnosed. Therefore, it is important to know the seroprevalence of
chikungunya. A retrospective study was conducted in the Microbiology Department of Government Materials & Methods:
Medical College, Surat from January 2022 to December 2022. Serum samples of 467 suspected cases of Chikungunya fever
were tested for Chikungunya IgM antibodies by ELISA – IgM Capture ELISA. Out of 467 samples, 79 (16 Results: .9%) samples
were positive for Chikungunya IgM antibodies. Maximum incidence was seen in the late monsoon and post monsoon months,
with females (52%) were more affected than males (48%). The most affected age group was 31-40 years. Conclusion: The
seroprevalence of Chikungunya cases in our study was 16.9% with high prevalence in the late monsoon and post monsoon
months. This reiterates the fact that Chikungunya is a serious health threat and highlights the need for effective measures to
lessen the illness's severity and control vectors to prevent the transmission of infection.
EVALUATION OF SMALL BOWEL OBSTRUCTION USING COMPUTED TOMOGRAPHY
Authors: Sai Sowmya Gunupuru , Nagaraj B. R.
Published: May 2024

While small bowel obstruction presents commonly, it's crucial to manage it effectively by accurately
determining its site, level, and cause, and formulating a tentative prognosis prior to surgery. Diagnosis
relies on a comprehensive approach involving clinical background, patient history, physical examination, and laboratory tests.
Various radiologic procedures assist in diagnosis, with recent studies favoring CT scans due to their ability to precisely identify
the site, level, and cause of obstruction, as well as detect signs of bowel inviability. CT scans are particularly valuable in
characterizing obstruction from diverse causes such as adhesions, hernias, tumors, and malrotation. While conventional
radiography has historically been the initial imaging method, CT scans have emerged as an important adjunctive tool,
especially when addressing specic disease management concerns.
NUTRITIONAL PROFILE AND SENSORY ATTRIBUTES OF SESAME SEEDS FLOUR INCORPORATED BISCUITS
Authors: Silky Silky , Bisla Gita
Published: May 2024

Sesame belongs to the family Pedaliaceae and scientically named as Sesamum indicum L. Sesame
seeds are rich in protein, ber and zinc. The purpose of the study was to incorporate sesame seeds which
are commonly discarded as waste to produce functional food. Sesame seeds our was prepared and incorporated in biscuits.
Four variants seeds incorporated (5%, 10%, 20% and 30%) biscuits were prepared. Sensory evaluation was done by a panel of 20
judges. Biscuits with 30% were highly accepted and the nutritional composition of sesame seeds had a moisture content of
3.02g/100g. Other components such as protein, crude ber, fat and carbohydrate were 40.5g/100 correspondingly. Ash content
was 4.41g/100g which was further analyzed into various major minerals giving analyzed mean as zinc 1.85mg/100g, iron
16.25mg/100g and calcium 28.18mg/100g.
EXTREMELY RARE CASE OF HAEMOPTYSIS IN PAEDIATRIC AGE GROUP: IDIOPATHIC AORTIC ANEURYSM WITH AORTO-BRONCHIAL FISTULA
Authors: Dal Avinash , Chandra Dronamraju Venkata Anil
Published: May 2024

Aneurysms of the post-coarctation portion of the aorta are exceptionally rare. When they emerge de novo,
they are even rarer, and they are very fatal if not surgically treated on time. Post coarctation aneurysms
most commonly occur after surgical repair of aortic coarctation and present as pseudoaneurysms which may erode into
surrounding tissue and may lead to aorto-bronchial stulas. The prognosis of such aorto-bronchial stulas is poor with a high
morbidity and mortality. Here we present an exceedingly rare case of haemoptysis due to an auto-bronchial stula in an 11-yearold boy which was diagnosed on time and could therefore be successfully treated. Presenting this case, we would like to
emphasize that haemoptysis can occur due to an aorto-bronchial stula which requires immediate diagnosis to allow lifesaving treatment either by open surgery or by endovascular techniques.
ASSESSMENT OF KNOWLEDGE, ATTITUDE AND PRACTICE OF HEMOVIGILANCE AMONG RESIDENT DOCTORS AT A TERTIARY CARE TEACHING HOSPITAL IN PUNE.
Authors: Jogdand Mohini D. , M. Barve Rohidas
Published: May 2024

Background: Hemovigilance Programme of India was launched in 2012 with the purpose to identify,
analyze and learn the complications associate with blood transfusion and donation. still, in our country
reporting of adverse blood transfusion reactions are less. Therefore, the purpose of this study to assess knowledge, attitude and
practice of hemovigilance among resident doctors and to scrutinize various causes of under-reporting. Methods: A Crosssectional questionnaire-based study was carried out in B.J.G.M.C. and SGH, Pune among resident doctors. Results: Total 118
resident doctors provided their responses through Google forms. Only 39% of the resident doctors had knowledge of the
hemovigilance program and 67.8% were aware about who can report and how to report. About 13.6% resident doctors were
aware of Donor vigil and Hemo-vigil software. 98.3% of resident doctors had favourable attitude towards reporting of
transfusion reaction and 94.9% agreed that hemovigilance activities should be a part of the undergraduate syllabus. Legal
accountability, lack of information, unavailability of time and negative repercussion of reporting transfusion reactions were the
main factors that prevented them from reporting. Conclusion: This study reached the conclusion that majority of the resident
doctors have a favourable attitude towards reporting of transfusion reaction. Knowledge related to the hemovigilance program
was not adequate and the score on practice was not up to the mark. Proper education through CMEs, and seminars on regular
basis with active participation by all concerned will improve their outlook towards transfusion reaction reporting.
PREDICTIVE ANALYTICS IN HEALTHCARE: HARNESSING AI FOR EARLY DISEASE DETECTION
Authors: Burri Vikas , Mukku Lalasa
Published: May 2024

Predictive analytics, empowered by articial intelligence (AI), has emerged as a powerful tool in early
disease detection within healthcare systems. Leveraging diverse data sources and advanced machine
learning algorithms, this study investigates the efcacy of AI-driven predictive models in identifying individuals at risk of
disease onset. A comprehensive dataset comprising electronic health records, medical imaging data, laboratory results, and
demographic information is utilized for model development and evaluation. Rigorous data preprocessing, feature selection,
and model training techniques are employed to optimize predictive performance and ensure clinical relevance. Results
demonstrate the effectiveness of AI-driven predictive models in discriminating between individuals with and without early
disease manifestations, achieving high accuracy, precision, and recall. Feature importance analysis and SHAP values provide
insights into the underlying mechanisms driving disease prediction, highlighting potential biomarkers and risk factors. Despite
promising results, challenges such as data quality, bias, interpretability, and regulatory compliance are acknowledged. Future
research directions include prospective validation studies, real-world deployment, and integration into clinical workows to
assess scalability, generalizability, and clinical impact. In conclusion, AI-driven predictive analytics holds immense promise
for revolutionizing disease management, improving patient outcomes, and advancing personalized healthcare in the era of
precision medicine.
A STUDY ON PERFORMANCE EVALUATION OF SELECTED CORPORATE BONDS
Authors: GM Mamatha , Bheemanagouda Bheemanagouda
Published: May 2024

The realm of corporate bond investments plays a pivotal role in the broader nancial landscape,
inuencing investors, corporations and market as a whole. This study delves into the performance
evaluation of selected corporate bonds, emphasizing the need for a robust understanding of their nancial dynamics.
Corporate bonds serve as crucial instruments for both issuers and investors, bridging capital requirements and portfolio
diversication. As global nancial markets continue to evolve, the assessment of corporate bond performance becomes
imperative for informed decision-making. The study conducts a comprehensive performance evaluation of selected corporate
bonds, employing various nancial metrics and analytical tools. The bonds under considerations are sourced from diverse
sectors, aiming to provide a nuanced understanding of their nancial viability. By analysing key indicators such as annualized
returns, risk proles, and Sharpe ratios, the research sheds light on the relative performance of these bonds. The study extends
its analysis to encompass specic, systematic and total risk assessments, thereby offering valuable insights for investors and
nancial practitioners. The ndings contribute to the ongoing discourse on corporate bond investments, particularly in terms of
risk-adjusted returns.
CASE REPORT of CAESAREAN SCAR PREGNANCY AN ENIGMA HOW TO TREAT
Authors: Gupta Renuka , Raghuvanshi Neetika , Chhabra Jaya
Published: May 2024

Caesarean scar pregnancy (CSP)is a rare form of pregnancy,
where G. sac is partially or fully implanted within previous
cesarean section scar. incidence of CSP is 1:800 TO 1:2500 of
1
all pregnancy . It is estimated that at least 6.1%pregnancy in
2 women with previous LSCS with ectopic will be CSP . TO
date more than 1000 CSPs have been reported, which is
attributed to increasing number of LSCS, better USG
diagnosis.
YELLOW ALERT: "EXPLORING THE MEDICOLEGAL DIMENSIONS OF NEONATAL JAUNDICE"
Authors: Mittal Anjesh , Gupta Richa , Singh Kamna
Published: May 2024

Neonatal jaundice is a common condition that affects a large percentage of newborns, with the potential
to develop into a serious condition known as kernicterus. While most cases of neonatal jaundice are
benign, the failure to diagnose and treat it can lead to severe complications, including long-term neurological damage and even
death. The purpose of this review is to provide a comprehensive overview of the medicolegal aspects of neonatal jaundice and
kernicterus. The paper will discuss the epidemiology, etiology, diagnosis, management, and long-term complications of these
conditions. Additionally, it will explore the legal implications of inadequate management and treatment of neonatal jaundice,
including the potential for medical malpractice claims and other legal action.
DEPRESSION, ANXIETY AND BURNOUT AMONG MEDICAL RESIDENTS – A CROSS SECTIONAL STUDY IN A MEDICAL COLLEGE OF RAJASTHAN, INDIA
Authors: Mahajan Aditi , Singh Harful , Radheshyam Radheshyam , Choudhary Isha
Published: May 2024

Background – The high rates of anxiety, depression and burnout are prevalent globally, especially
among medical residents due to academic stressors like information overload and limited leisure time,
as consistently reported in numerous studies. Aim – To assess the prevalence of depression, anxiety and burnout among
medical residents and to nd out correlation between depression, anxiety and burnout and factors precipitating them.
Materials and Methods- This cross-sectional study was carried out at S.P. Medical College, Bikaner. A total of 60 residents who
were willing to participate were enrolled in the study. Following the acquisition of informed written consent, they were provided
semi-structured proforma and self-reporting questionnaires (PHQ-9, GAD-7 and Maslach Burnout Inventory). Results- In our
study, out of the 60 participants, symptoms of depression were present in 36 (60%), which were statistically signicant (p value <
0.05) in unmarried, lacking extracurricular activities, with a history of benzodiazepine/ antidepressant/ psychotropic drug use,
gone through recent major life event, suicidal thoughts and anxiety. Similarly, anxiety was present in 38 (63.3%) and was
statistically signicant (p value < 0.05) in unmarried, those lacking extracurricular activities and with suicidal thoughts.
Burnout was present in 24 (40.0%) and was statistically signicant (p value <0.05) among those who had sleep <6 hours, had
suicidal thoughts, with no extracurricular activities and with depersonalization. Conclusions- The study found that a
signicant number of residents were experiencing symptoms of depression, anxiety and burnout, highlighting the pressing
need for immediate attention.
Special Session: Reliability Assessment Recipes for DNN Accelerators
Authors: Bosio Alberto , Ahmadilivani Mohammad Hasan , Deveautour Bastien , Santos Fernando Fernandes dos , Balaguera Juan David Guerrero , Jenihhin Maksim , Kritikakou Angeliki , Sierra Robert Limas , Pappalardo Salvatore , Raik Jaan , Condia JosieE Rodriguez , Reorda Matteo Sonza , Taheri Mahdi , Traiola Marcello
Published: May 2024

Reliability assessment is mandatory to guarantee the correct behavior of
Deep Neural Network (DNN) hardware accelerators in safety-critical
applications. While fault injection stands out as a well-established,
practical and robust method for reliability assessment, it is still a
very time-consuming process. This paper contributes with three recipes
for optimizing the efficiency of the reliability assessment: a) hybrid
analytical and hierarchical FI-based reliability assessment for
systolic-array-based DNN accelerators; b) mixing techniques for the
reliability assessment of in-chip AI accelerators in GPUs; c)
reliability assessment of DNN hardware accelerators through physical
fault injection. The experimental results demonstrate the efficiency of
the proposed methods applied to their target DNN HW accelerator
platforms.
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes
Authors: Hashmi Ammarah , Shahzad Sahibzada Adil , Lin Chia-Wen , Tsao Yu , Wang Hsin-Min
Published: May 2024

The emergence of contemporary deepfakes has attracted significant
attention in machine learning research, as artificial intelligence (AI)
generated synthetic media increases the incidence of misinterpretation
and is difficult to distinguish from genuine content. Currently, machine
learning techniques have been extensively studied for automatically
detecting deepfakes. However, human perception has been less explored.
Malicious deepfakes could ultimately cause public and social problems.
Can we humans correctly perceive the authenticity of the content of the
videos we watch? The answer is obviously uncertain; therefore, this
paper aims to evaluate the human ability to discern deepfake videos
through a subjective study. We present our findings by comparing human
observers to five state-ofthe-art audiovisual deepfake detection models.
To this end, we used gamification concepts to provide 110 participants
(55 native English speakers and 55 non-native English speakers) with a
webbased platform where they could access a series of 40 videos (20 real
and 20 fake) to determine their authenticity. Each participant performed
the experiment twice with the same 40 videos in different random orders.
The videos are manually selected from the FakeAVCeleb dataset. We found
that all AI models performed better than humans when evaluated on the
same 40 videos. The study also reveals that while deception is not
impossible, humans tend to overestimate their detection capabilities.
Our experimental results may help benchmark human versus machine
performance, advance forensics analysis, and enable adaptive
countermeasures.
A Comparative Study of Passwordless Authentication
Authors: Prasad Abhishek
Published: May 2024

In today’s scenario, software applications are facing new challenges while using password authentication for providing access to accounts. It can be easily understood and appreciated that while passwords have been existing for decades, they have become highly vulnerable to security attacks leading to data breaches. With the huge advancement in Artificial Intelligence, there has been a tremendous increase in sophisticated tools used by cybercriminals to gain unauthorized access. Therefore, there is a growing demand for passwordless technologies that can provide a highly secure and efficient way for authentication. This study explores detailed information on various passwordless authentication technologies and analyzes their benefits and drawbacks. Additionally, it attempts to make a comparison between these technologies based on different criteria. Passwordless authentication is commonly based on public-key cryptography, which uses a cryptographic key pair with a public and private key. The public key is used by authenticating services to authenticate users using the private key stored on the user’s device secured behind a non-knowledge based authentication factor.
Reasoning AI (RAI), Large Language Models (LLMs) and Cognition
Authors: Senkevich Victor
Published: May 2024

Do Large Language Models have cognitive abilities? Do Large Language Models have understanding? Is the correct recognition of verbal contexts or visual objects, based on pre-learning on a large training dataset, a manifestation of the ability to solve cognitive tasks? Or is any LLM just a statistical approximator that compiles averaged texts from its huge dataset close to the specified prompts? The answers to these questions require rigorous formal definitions of the cognitive concepts of ”knowledge”, ”understanding” and related terms.
The Effect of Harmonic Distortion in Capacitive and Inductive Loads on the Performance of Electrical Grids in Huge Projects (Faden Spectrum Phenomenon – An example)
Authors: Shtat Prof. Hazar
Published: May 2024

In the past decades when capacitive loads were less common. As a result,
electrical networks only experienced electrical wave distortions on
inductive loads, such as industrial pumps, refrigeration units,
injection compressors, and electric motors; phase angle issues in the
power triangle accounted for the majority of these issues. The classic,
adding power factor capacitors were seem to be capable
of solving majority of such issues. [1-3]. However, harmonic
distortions on capacitive loads were later produced by excessive use of
computers, energy-saving light bulbs, mobile chargers, and routers;
These distortions had a direct influence on transformer stations and
significantly affected electrical network performance. At present times,
the public and private electric power generation and distribution
companies around the world have recently become aware of these problems
and have imposed heavy fines on this type of due to the fact that it
reduces the efficiency of state-level distribution stations while
simultaneously undermining the principle of equitable power
distribution.
A survey of superpixel methods and their applications
Authors: Wu Chong , Yan Hong
Published: May 2024

Superpixels can preserve the structure and reduce the redundancy of the
original image. Because of these advantages, superpixel generation or
superpixel segmentation is widely used as a pre-processing step in many
image processing tasks. Although superpixels can be employed to reduce
computational complexity, some challenges, such as the non-Euclidean
feature learning problem introduced by superpixels, still exist. This
survey provides a comprehensive overview of the state-of-the-art
superpixel methods, major challenges, commonly used evaluation metrics,
applications of superpixels, and potential future directions for the
study of superpixels. We first give a review of the state-of-the-art
superpixel methods. Next, we use different evaluation metrics to
evaluate the performance of 25 up-to-date superpixel methods on
different datasets in different noisy environments. After that, we
introduce several up-to-date applications of superpixels. Finally, we
give several possible future directions for addressing the challenges of
superpixels.
Mixed infections of Tomato yellow leaf curl New Delhi virus and a ‘Candidatus Phytoplasma asteris’ strain in zucchini squash in Italy
Authors: PARRELLA Giuseppe , TROIANO Elisa
Published: May 2024

A new disease syndrome of zucchini squash was observed in Southern Italy, in 2018 and again in 2020. Affected plants were severely stunted and leaves were bent downwards, small, stiff, thick, leathery, and had interveinal chloroses. In addition, flowers were virescent and fruits were deformed and often cracked. Disease incidence was 20 and 30% in two different zucchini cultivations in Campania region (Southern Italy). Tomato yellow leaf curl New Delhi virus (ToLCNDV) was detected in eight samples, by loop-mediated isothermal amplification–based (LAMP) kit and by PCR and Sanger sequencing of the AV1 gene. Phytoplasmas were detected in the same samples using nested PCR assays with primer pairs P1/P7 and R16F2n/R16R2. Phytoplasma associations in plant samples were confirmed using specific primers for the multilocus genes SecY, tuf and rp. Sequence comparison of multilocus genes and phylogenetic analyses of the 16S rDNA gene confirmed the association of a phytoplasma strain closely related to ‘Candidiatus Phytoplamsa asteris’. This is the first report of mixed infections of ToLCNDV and a putative ‘Ca. Phytoplamsa asteris’ strain in zucchini, associated with a new Squash-Phytoplasma-Begomovirus (SqPB) disease syndrome.
Identidades conflituosas e o pós-colonial no feminino
Authors: Perrotti Bruna
Published: May 2024

Assia Djebar (1936-2015) is regarded as one of the greatest writers of Maghreb. The analysis of the author's debut novel, La Soif (1957), brings as contribution the understanding of how the identity issue presented itself to a maghrebian intellectual about to enter postcoloniality. Its protagonist of autobiographical inspiration lives between two worlds that regulate in different ways the conduct of body and sexuality. The conducts of the protagonist challenge normative tradition, tending to westernization in her search for freedom, though her choices can lead to a sense of unbelonging. The confrontation of visions manifests itself as identity crises and questions related to the destination of women facing marriage. La Soif and its analysis highlight Djebar’s acute criticism of women's situation in Algerian society, with emphasis on the impacts of pressure related to marriage and motherhood on mental health in the individual sphere.