bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-pancreatic hyperlipasemia: A puzzling clinical entity
Authors: Feher Krisztina Eszter , Tornai David , Vitalis Zsuzsanna , Davida Laszlo , Sipeki Nora , Papp Maria
Published: May 2024

BACKGROUND

Increased lipase level is a serological hallmark of the diagnosis of acute pancreatitis (AP) but can be detected in various other diseases associated with lipase leakage due to inflammation of organs surrounding the pancreas or reduced renal clearance and/or hepatic metabolism. This non-pancreatic hyperlipasemia (NPHL) is puzzling for attending physicians during the diagnostic procedure for AP. It would be clinically beneficial to identify the clinical and laboratory variables that hinder the accuracy of lipase diagnosis with the aim of improve it. A more precise description of the NPHL condition could potentially provide prognostic factors for adverse outcomes which is currently lacking.

AIM

To perform a detailed clinical and laboratory characterization of NPHL in a large prospective patient cohort with an assessment of parameters determining disease outcomes.

METHODS

A Hungarian patient cohort with serum lipase levels at least three times higher than the upper limit of normal (ULN) was prospectively evaluated over 31 months. Patients were identified using daily electronic laboratory reports developed to support an ongoing observational, multicenter, prospective cohort study called the EASY trial (ISRCTN10525246) to establish a simple, easy, and accurate clinical scoring system for early prognostication of AP. Diagnosis of NPHL was established based on ≥ 3 × ULN serum lipase level in the absence of abdominal pain or abdominal imaging results characteristic of pancreatitis.

RESULTS

A total of 808 patients [male, n = 420 (52%); median age (IQR): 65 (51-75) years] were diagnosed with ≥ 3 × ULN serum lipase levels. A total of 392 patients had AP, whereas 401 had NPHL with more than 20 different etiologies. Sepsis and acute kidney injury (AKI) were the most prevalent etiologies of NPHL (27.7% and 33.2%, respectively). The best discriminative cut-off value for lipase was ≥ 666 U/L (sensitivity, 71.4%; specificity, 88.8%). The presence of AKI or sepsis negatively affected the diagnostic performance of lipase. NPHL was associated with a higher in-hospital mortality than AP (22.4% vs 5.1%, P < 0.001). In multivariate binary logistic regression, not lipase but increased amylase level (> 244 U/L) and neutrophil-to-lymphocyte ratio (NLR) (> 10.37, OR: 3.71, 95%CI: 2.006-6.863, P < 0.001), decreased albumin level, age, and presence of sepsis were independent risk factors for in-hospital mortality in NPHL.

CONCLUSION

NPHL is a common cause of lipase elevation and is associated with high mortality rates. Increased NLR value was associated with the highest mortality risk. The presence of sepsis/AKI significantly deteriorates the serological differentiation of AP from NPHL.
The Boundary Conditions of Optimal Contracting and Managerial Entrenchment: A Simultaneous Two-Equation Vector Autoregression with Exogenous Variables Approach for Chief Executive Officer Compensation and Firm Performance
Authors: Shi Juehui , Pham Ngoc Cindy
Published: May 2024

We apply the vector autoregression with exogenous variables (VARX) approach to integrate the optimal contracting theory, the managerial entrenchment theory, the principal-agent theory, the contextual criteria theory, and the upper echelon theory. Based on this new approach, we discover two middle ground conditions between the boundary of managerial entrenchment and optimal contracting, where CEO non-entrenchment or entrenchment cannot be explained by the managerial entrenchment theory or optimal contracting theory alone. For example, some CEOs are not entrenched when the agency problem is not mitigated, while others are entrenched when the agency problem is mitigated. The results imply that merely mitigating the agency problem cannot prevent managerial entrenchment. However, not mitigating the agency problem at all leads to managerial entrenchment. We recommend the boards look at other non-financial means and social approaches (e.g., value- and culture-based trainings, performance recognition, goodwill and friendship building events, pay transparency increase, smooth flow of information among stakeholders, value-adding managerial investments, oversight committee) to minimize the impact of managerial entrenchment on both firm performance and CEO compensation. In addition, we recommend the boards take on the approaches unique to their own firms and their CEOs to address managerial entrenchment.
Asset Returns and Economic Uncertainty: A Cross-Country Analysis
Authors: Kamal Javed Bin , Hossain Akhand Akhtar , Al Farooque Omar , Wohar Mark
Published: May 2024

This paper examines the effects of economic uncertainty (idiosyncratic vis-à-vis common uncertainty) on equity, bond and housing returns across both developed and developing countries. Building on International/Intertemporal Capital Asset Pricing Model (ICAPM), we find that economic uncertainty exerts negative effects on equity, bond and housing returns. When we decompose economic uncertainty into two parts: idiosyncratic and common economic uncertainty, we find that ‘idiosyncratic uncertainty’ affects equity, bond and housing returns more negative and pronounced than ‘common’ uncertainty, where investors do not demonstrate differences in responses to the different dimensions of uncertainty. Moreover, there are weak lagged effects of economic uncertainty on asset returns. Additionally, we find negative uncertainty premium for equity more persistently in bullish rather than bearish market conditions. Our results are also robust for low frequency data and inclusion of covid period in the analysis. Our findings have implications for policy makers in both developed and emerging markets regarding clear communication of economic policies.
From HR Practices to HR Performance: A Psychological Ownership Meta-Analysis Across Cultures
Authors: Renz Franziska M.
Published: May 2024

This study utilizes psychological ownership theory as theoretical framework to examine high-performance work practices, and attitudinal and behavioral performance as associations of psychological ownership on the population level. Psychological ownership describes a mindset which allows individuals to experience ownership feelings for a target (e.g., organization) regardless of legal ownership rights. Further, psychological ownership theory is integrated with and extended by contingency theory to analyze the moderation effects of societal culture. These effects have been assumed for over 30 years but hardly backed by empirical evidence from cross-cultural samples. Thus, this study analyzes data from 351,919 individuals who participated in 139 published and unpublished studies, using rigorous and advanced meta-analytic techniques. The results show that compensation and benefits, job and work design, and communication practices foster psychological ownership, which in turn enhances constructive deviant behavior, task performance, and favorable attitude while weakening unfavorable attitude. Societal culture significantly strengthens these relationships.
Urban Unemployment Duration Analysis in Post-Reform China
Authors: Mukherjee Soumyatanu , Roy Soumya
Published: May 2024

We link China’s accession to the WTO with the unemployment duration of urban jobseekers. Using data from the Rural Urban Migration in China (RUMiC) of a survey conducted in early 2008, we construct an inflow sample of those who started a period of joblessness between January 2002 and December 2007 to estimate the unemployment duration for local urban jobseekers. Deploying the Cox Proportional Hazards and Accelerated Failure Time models, we find reduced trade policy uncertainty significantly shortens unemployment duration, with hazard-rate varying across internal in-migrants and urban natives, due to variations in job accessibility and reservation wages.
A Rational Perspective of Servant Leadership: Towards a Paradigm Shift in Servant Leader Motivation
Authors: Hurt Kevin J. , Nolan Ross
Published: May 2024

Advocates of servant leadership maintain that altruism is the foundational ethic fueling the success of the servant leader. Thus, the foremost requirement of a servant leader is the possession of a concern for others above and beyond his or herself. Researchers have largely neglected the possibility that servant leaders may be, at least partially, motivated by self-interest. We challenge the current foundational ethic attributed with servant leadership and put forth a new ethical perspective. Reviewing four motivational states, from purely other-centered to purely self-centered, we introduce a conceptual model and argue that the proper ethic to ascribe with servant leadership is a dual motivational perspective of rational self-interest and agapao love. A dual motivational perspective allows the servant leader to avoid the negative consequences of the self-sacrificial, altruistic motivation while maintaining the positive, pro-social behaviors that improve organizational outcomes associated with servant leadership.
To Sue or Not To Sue?: Foreign-Sounding CEO Name and Class-Action Lawsuits
Authors: Ganji Gajanan , Kale Arati , Kale Devendra
Published: May 2024

In this paper, we investigate if the perceived name-based ethnicity of CEOs has any relationship with the likelihood of shareholder class-action lawsuits. Using machine learning algorithms on CEO names, we develop an objective proxy of name-based ethnicity and find that firms managed by ‘foreign-sounding’ CEOs exhibit a lower likelihood of class-action lawsuits. Our results are robust to matched sample analysis, Heckman two-stage selection, alternate model specifications as well as use of an alternate proxy. We further find that succession of a foreign-sounding CEO by a non-foreign-sounding CEO increases the likelihood of class-action lawsuits. Our paper has important implications for firms, especially in high litigation industries or high litigation situations.
Analisis Performa Akademik Mahasiswa Menggunakan Social Network Analysis (Studi Kasus: Prodi Bisnis Digital Universitas dr. Soebandi)
Authors: Afandi Khoirunnisa , Arief M. Habibullah , Faizatul Laily Nadya , Maulana Nugroho Derik
Published: May 2024

Pendidikan dengan kualitas yang baik akan menghasilkan generasi yang cerdas dan berpotensi. Kriteria utama untuk mengukur kinerja lembaga akademik adalah tingkat kelulusan siswa atau mahasiswa. Hal tersebut memunculkan permasalahan bagaimana mengukur performa akademik mahasiswa sehingga bisa menjadi lulusan yang berkualitas. Pengukuran performa akademik dilakukan dengan mengumpulkan data mahasiswa lalu menggabungkan data tersebut dengan data kuesioner yang dibagikan ke mahasiswa mengenai pengalaman belajar mereka. Penelitian dilakukan dengan melakukan prediksi dengan machine learning dan analisis menggunakan Social Network Analysis untuk menampilkan inti jaringan yang paling berpengaruh terhadap performa akademik mahasiswa. Hasil penelitian menunjukkan bahwa rata-rata akurasi algoritma untuk prediksi performa akademik mahasiswa adalah 0,76. Sehingga data tersebut dapat digunakan untuk prediksi performa akademik mahasiswa dengan tingkat akurasi yang tinggi. Hasil analisis menunjukkan bahwa Usia, Pendidikan Orang Tua, Kota Asal dan Kesulitan dalam belajar memiliki pengaruh terhadap performa akademik mahasiswa.
Sistem Informasi Penjualan Online Thrift Shop Berbasis Web
Authors: Putu Candra Ariani , Dewi I Gusti Agung Ayu Ananda , Wijaya Selly Vania Christina , Jayanti Kadek Sukma , Jati Ketut Gede Tegar Maranom , Firdaus Rangga , Mahendra Gede Surya
Published: May 2024

Kebutuhan untuk memenuhi mode berpakaian yang sedang tren di zaman modernisasi terus menjadi hal penting bagi generasi muda. Thrift shop merupakan salah satu jenis toko yang menjual berbagai macam barang bekas yang masih layak untuk digunakan, dengan harga lebih murah sehingga dapat menghindari pemborosan. Pelanggan dapat tetap mengikuti tren mode berpakaian. Penjualan thrift shop yang semakin berkembang masih dilakukan dengan pemasaran offline dan transaksi manual. Penelitian ini merancang sistem informasi berbasis website yang membantu pengelola thrift shop dalam melakukan transaksi secara online, sehingga mampu menciptakan penjualan yang efektif, melakukan penyimpanan data pelanggan, membantu penjual agar mampu mencangkup seluruh elemen pasar, serta membantu pembeli dalam bertransaksi via online. Metode penelitian ini adalah model waterfall. Implementasi sistem ini menggunakan HTML, PHP, CSS dan MySQL. Pengujian dari penelitian ini menggunakan black box testing dan telah memberikan hasil yang baik. Seluruh halaman telah berjalan sesuai dengan skenario pengujian, form yang dikembangkan telah terintegrasi dan bernavigasi dengan baik, serta proses input dan output sesuai dengan yang diharapkan. Hasil penelitian ini akan menciptakan sistem informasi berbasis website bagi penjual usaha Thrift Shop untuk memenuhi kebutuhan bisnis serta berguna bagi pelanggan agar mudah membeli barang hanya melalui media elektronik.
A Semiotic Branding Analysis of Borobudur: World Spiritual Tourism Destination
Authors: Latifah Latifah
Published: May 2024

In the context of internationalizing Borobudur as a destination for global Buddhist religious tourism this research aims to address the research questions: how does Borobudur's branding position it as a centre for the world's religions this study focuses on Borobudur’s branding in social media and content, social networks, social news, review sites, and virtual worlds forum. This research also incorporates data obtained through interviews with the managers of Borobudur Temple. This research employs a qualitative approach with a semiotic branding approach related to the declaration of the Borobudur Temple complex designated as one of the world's religious centres. the researcher conducts an analysis within the frameworks of syntagmatic, paradigmatic, and intertextuality. The research highlights Borobudur’s profound significance as a living spiritual and multicultural space, emphasizing its identity as a dynamic product shaped by social media. The study identifies two perceptions: religious tourism and cultural engagement, emphasizing Borobudur's multicultural appeal. The study aligns with the evolving nature of place branding, emphasizing emotional and experiential aspects. In conclusion, Borobudur emerges as a dynamic, spiritually rich destination with multicultural appeal. Social media plays a pivotal role in shaping its brand, emphasizing continuous promotion for global recognition and resonance. The influence of information technology propels globalization, altering the branding terrain. In this dynamic environment, tourists play an active role in shaping destination images, disrupting conventional top-down methodologies
MISKONSEPSI PENYELESAIAN SOAL CERITA MATEMATIKA PADA KONSEP FPB DAN KPK SEKOLAH DASAR
Authors: Pristiwanti Desi , Yuhana Yuyu
Published: May 2024

Penelitian ini dilatarbelakangi oleh beberapa peserta didik mengalami miskonsepsi terhadap materi FPB dan KPK. Serta akan semakin rumit jika miskonsepsi pada murid itu tidak segera ditangani, dan hal ini juga akan mempengaruhi semangat maupun motivasi siswa dalam belajar. Peneliatan ini dilakukan bertujuan untuk mengetahui penyebab terjadinya miskonsepsi yang di alami oleh siswa dalam menyelesaikan soal cerita FPB dan KPK. Penelitian ini dilakukan di SD Negeri Serang 10 Kota Serang Banten, subjek adalah siswa kelas V dengan jumlah murid 31. Studi peneliti ini menggunakan metode tes, serta wawancara. Setelah memiliki data yang valid dan mengidentifikasi sumber miskonsepsi, penelitian ini dilanjutkan dengan mewawancarai guru wali kelas dari hasil tersebut terlihat bahwa terdapat miskonsepsi konsep, miskonsepsi sistematika, dan miskonsepsi hitung. Miskonsepsi terjadi karena salah pemahaman hitung, yaitu saat menjawab hasil FPB dan KPK atau menentukan hasil akhir. Penyebab miskonsepsi adalah siswa dan metode pengajaran mereka. Untuk meningkatkan pemahaman siswa tentang FPB dan KPK, maka dapat menggunakan metode pembelajaran yang lebih interaktif dan praktis.
PENGEMBANGAN BAHAN AJAR BERBASIS CERITA BERGAMBAR MELALUI PENDEKATAN ASSURE PADA PEMBELAJARAN MENULIS DI SEKOLAH DASAR
Authors: Sulistyorini Tri , Widayati Mukti , Nurnaningsih
Published: May 2024

Peneltian ini bertujuan (1) mendeskripsikan pengembangan bahan ajar berbasis cerita bergambar dengan pendekatan assure pada pembelajaran Bahasa Indonesia, (2) Mendeskripsikan Kelayakan, Kepraktisan dan Keefektifan bahan ajar berbasis cerita bergambar dengan pendekatan assure pada pembelajaran Bahasa Indonesia. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan prosedur pendekatan ASSURE yang melibatkan lima tahapan. Data dikumpulkan melalui angket dan observasi, kemudian divalidasi oleh ahli materi dan ahli media. Produk pengembangan tersebut divalidasi kelayakannya oleh ahli dengan persentase ketercapaian 87,05% (sangat layak). Validasi kepraktisan dilakukan melalui uji coba kelompok dan uji coba lapangan dengan persentase  skor tanggapan guru dan siswa yang sangat praktis. Data keefektifan bahan ajar diambil dari uji kompetensi, yang menunjukkan hasil yang baik pada kedua uji coba. Hasil ini mengindikasikan bahwa bahan ajar tersebut efektif untuk digunakan dalam pembelajaran Bahasa Indonesia.
ANALISIS GAYA BELAJAR ANAK DESA SELAT DALAM LES BAHASA INGGRIS DI TENGAH KENTALNYA BUDAYA LOKAL
Authors: Dharma I Komang Angga Sila , Numertayasa I Wayan
Published: May 2024

Penelitian ini bertujuan untuk mengetahui bagaimana gaya belajar anak Desa Selat dalam belajar bahasa Inggris konteks budaya lokal Bali. Penelitian ini dilakukan dengan pendekatan kualitatif dan metode studi kasus. Penelitian ini dilakukan Desa Selat, Kabupaten Bangli dengan jumlah 35 anak. Data penelitian dikumpulkan melalui kuesioner, wawancara dan observasi. Analisis data menggunakan menggunakan teknik dari Miles dan Huberman yakni mengumpulkan suatu data, reduksi suatu data, menyajikan suatu data dan menarik kesimpulan. Hasil dari penelitian ini yaitu gaya belajar anak Desa Selat di dominasi oleh gaya belajar kinerstetik sebesar 43% dan aural sebesar 32% belajar dimana ini disebabkan karena di Desa Selat mengadakan kegiatan les eksternal dalam menjaga dan melestarikan seni budaya Bali seperti menari, megambel dan menyurat aksara Bali.
PENGARUH MODEL ADVANCE ORGANIZER BERPENDEKATAN WHOLE LANGUAGE BERBANTUAN MEDIA CERITA BERGAMBAR TERHADAP HASIL BELAJAR BAHASA INDONESIA DI SD
Authors: Letasado Muhamad Rusadi , Putrayasa Ida Bagus , Sudiana I Nyoman
Published: May 2024

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan model advance organizer berpendekatan whole language berbantuan media cerita bergambar terhadap kualitas hasil belajar Bahasa Indonesia pada siswa kelas III SD Negeri Oehendak kota kupang. Penelitian ini menggunakan metode eksperimen kuasi (quasi experiment) dengan menggunakan rancangan penelitian post-test only control group design. Data hasil belajar Bahasa Indonesia diperoleh melalui tes hasil belajar. Populasi dalam penelitian ini sebanyak 48 siswa. 25 siswa ditetapkan sebagai sampel, yang ditarik dengan teknik random sampling, pengumpulan data dalam penelitian ini menggunakan metode tes objektif. Data yang diperoleh di analisis menggunakan teknik analisis statistic deskriptif dan ANAVA satu jalur. Hasil penelitian ini menunjukan bahwa terdapat pengaruh penerapan model advance organizer berpendekatan whole language berbantuan media cerita bergambar terhadap kualitas hasil belajar Bahasa Indonesia pada siswa SD.
NILAI-NILAI KEBHINEKAAN MELALUI PROGRAM PERTUKARAN MAHASISWA MERDEKA DI PERGURUAN TINGGI
Authors: Rahmat Acep , Suharyati Henny , Nazib Fiqra Muhamad
Published: May 2024

Setiap orang memiliki latar belakang, pengalaman, dan cara pandang yang berbeda. Untuk mengatasi masalah tersebut, diperlukan pendekatan yang inklusif, dialog yang terbuka, dan promosi nilai-nilai kebhinekaan, seperti toleransi, saling menghormati, dan kesepakatan bersama. batasan masalah pada penelitian ini sebagai berikut: (1) Bagaimana Implementasi nilai-nilai Kebhinekaan melalui program pertukaran mahasiswa Merdeka bagi mahasiswa di universitas Garut; (2) Bagaimana nilai-nilai Kebhinekaan melalui program pertukaran mahasiswa Merdeka bagi mahasiswa di universitas Garut; (3) Bagaimana dampak nilai-nilai Kebhinekaan melalui program pertukaran mahasiswa Merdeka  bagi mahasiswa di universitas Garut Penelitian ini bertujuan untuk menanamkan nilai-nilai kebhinekaan melalui program Pertukaran Mahasiswa Merdeka (PMM). Pendekatan yang digunakan dalam penelitian ini adalah dengan menggunakan pendekatan deskriptif kualitatif. Subjek dalam penelitian ini meliputi mahasiswa yang mengikuti program Pertukaran Mahasiswa Merdeka di Perguruan Tinggi. Teknik pengumpulan data yang digunakan dalam penelitian ini yaitu wawancara, observasi, dan analisis dokumen. Hasil dari penelitian ini adalah (1) Implementasi nilai-nilai Kebhinekaan program pertukaran mahasiswa Merdeka (PMM) dilakukan melalui modul nusantara; (2) nilai-nilai Kebhinekaan melalui program pertukaran mahasiswa Merdeka bagi mahasiswa; (3) dampak nilai-nilai Kebhinekaan melalui program pertukaran mahasiswa Merdeka  bagi mahasiswa mendapatkan respon positif karena mengembangkan pemahaman, keterampilan, dan sikap kebhinekaan.
PENERAPAN MODEL PEMBELAJARAN PADA KURIKULUM MERDEKA: STUDI KASUS DI SMA NEGERI 1 PARE
Authors: Muchtar Azmy Ali , Hidayat Taufik , Utsman Soraya , Ikhsan Muhammad , Umam Muhammad Ihdal , Putri Renesya Febbiyana
Published: May 2024

Berdasarkan fakta di lapangan, implementasi awal kurikulum Merdeka di SMAN 1 Pare tidak secara langsung berjalan  dengan  baik. Penelitian ini dilatarbelakangi pada tantangan dan kendala-kendala di sekolah terkait implementasi kurikulum Merdeka yang telah ditetapkan oleh pemerintah. Tujuan penelitian ini yaitu untuk mengetahui strategi pembelajaran pada Kurikulum Merdeka yang diterapkan oleh pendidik di SMAN 1 PARE dan untuk mengetahui hambatan pada proses implementasi strategi pembelajaran pada kurikulum Merdeka yang diterapkan oleh pendidik di SMAN 1 PARE. Penelitian ini menggunakan Metode Penelitian Kualitatif Deskriptif jenis studi kasus. Pengumpulan data dilakukan dengan metode observasi, wawancara dan dokumentasi. Subjek penelitiannya ialah pendidik dan objek penelitiannya ialah strategi pembelajaran Kurilukum Merdeka yang diterapkan oleh pendidik di SMAN 1 Pare, mulai dari konsep perencanaan, pelaksanaan sampai evaluasi staregi pembelajarannya. Analisis datanya menggunakan teori miles dan huberman, diawali dengan pengumpulan data, reduksi data, penyajian data dan pengambilan kesimpulan. Hasil dari penelitian ini yaitu Kurikulum merdeka di SMAN 1 Pare mulai diterapkan tahun 2021 dan telah berjalan cukup baik seiring berjalannya waktu dengan menggunakan beberapa metode dan strategi dalam peroses pembelajaran. Strategi dan metode yang digunakan adalah metode diferensiasi dan sosial emosional. Metode diferensiasi yang diterapkan ini adalah diferensiasi konten untuk melihat minat belajar peserta didik dari audio, kinestik atau audio visual. pendidik juga menerapkan ice breaking di awal pembelajaran untuk meningkatkan semangat belajar dan hasil belajar peserta didik. Dalam pelaksanaan implemantasi pembelajaran yang di lakukan adalah tindakan - tindakan dukungan seperti: Memotivasi peserta didik, mengkondisikan peserta didik agar lebih aktif dalam pembelajaran dan memberikan pembelajaran yang menyenangkan.
Diálogos para uma Política Nacional de Desenvolvimento Urbano : temas transversais à PNUD
Authors: Costa Marco Aurélio
Published: May 2024

Este volume reúne os temas transversais à PNDU, no qual se buscou propor diálogos pouco habituais em torno de temas setoriais específicos que nem sempre são objeto da agenda urbana, mas que devem se fazer presentes, sobretudo, no quadro de mudanças e transformações sociais, econômicas, culturais e ambientais que se encontra em curso.
ASSESSING THE PROSPECTIVE IMPACT OF BREXIT ON THE GLOBAL ARCHITECTURE OF POWER. A MULTIDIMENSIONAL APPROACH FOCUSING ON UK AND EU
Authors: Aursulesei Tudor-Mugurel , Maha Liviu-George , Topliceanu Stefan-Catalin , Viorica Elena-Daniela
Published: May 2024

Brexit has undeniably had effects on power relations in the world economy and beyond. This article aims to measure the dimensions of power for the European Union, the United States and the BRICS countries and to provide a case study about the prospective impact of Brexit on the EU’s and the UK’s positions within the global architecture of power. In this regard, the paper proposes a new method of measurement of the world power by using six dimensions of power, using data before the Brexit procedures started. The highlights of the empirical findings are that the exclusion of the UK has strengthened EU’s position only for the economic dimension of power, while for the UK, the most dominant repositioning within the power architecture due to the Brexit is recorded for the political & governance. The findings can contribute to raising awareness among policy–makers, companies, institutions and the population, both at European and at national level, about populist tendencies and attitudes towards potential separations of some member countries from the European community and their consequences for the European development from multiple perspectives.
More Conflicts, More Deaths—Everyone Talks about Winning the War, but No One Talks About Achieving Peace
Authors: Swain Ashok
Published: May 2024

This article examines the multifaceted challenges posed by the current global conflict landscape, emphasizing the interconnectedness of development, security, and peace. Firstly, the article highlights the increase in both state and non state conflicts, with fatalities nearly doubling from 2021 to 2022. This escalation is marked by significant conflicts like the Russia–Ukraine war and the Tigray conflict in Ethiopia, contributing to the deterioration of global security. The analysis also touches on the failure of regional and international organizations such as the African Union, ASEAN, and the United Nations in effectively managing these conflicts and maintaining peace. Secondly, the article delves into the evolving nature of warfare, including the rise of digital attacks and hybrid warfare, which blend conventional and unconventional tactics. This section underscores the need for a new, comprehensive peace architecture to address the array of modern threats, including climate change and pandemics, which extend beyond traditional military concerns. Finally, the article discusses the concerning decline of anti-war movements in the West, particularly in light of recent conflicts like the Ukraine war. This decline is attributed to various factors, including the perception of Western military actions as inherently benevolent and the shift in activism focus to issues like climate change and social justice. The article argues that this decline has profound implications for democratic processes and the global pursuit of peace.
A Fabulous Paradox: The Developmental Reflux
Authors: Mohan Brij
Published: May 2024

Social development emerged like a Phenix in the post-war reconstruction. In the wake of global traumas, development movement manifested itself across the nations, especially those devastated by the horrors and terror of the world war. The Third World, better construed as the Global South, is now rising from the shadows of a dubious duality— advanced and developing—of panorama of nations bedeviled by the persistence of tribal nationalism. Fissures and antagonisms—old and new—have surfaced anew. The dynamics of this development are the foci of a new conceptualization that might liberate the human family from its own nemesis.
Novel Strategies in Drug Concealment
Authors: de Carvalho Ponce Julio
Published: May 2024

Drug concealment is a widespread tactic used by drug traffickers and distributors to hide their illegal cargo when transporting it within and across borders. Physical concealment – occluding visibility of the contents – is one of the simplest and most widely used methods. Imaging concealment – the attempt to avoid detection by coating drugs with layers or containers that reduce or impair interaction with electromagnetic detection techniques – is important when surveillance equipment, such as X-rays, is used. Drug traffickers may also attempt to carry drugs though body packing, i.e. ingesting or inserting drug packets into body cavities, which can represent a major health risk for those undertaking. More recently, drug traffickers have started using prodrugs and precursors as a strategy for transporting drugs across borders, which raises new challenges in drug classification and detection. It is important to adequately identify the strategies used, shortcomings in adequate detection, and update legislation to allow for the classification of chemically masked drugs of abuse.
Rising Threats, Silent Battles
Authors: Dodiya Kiranbhai Ramabhai , Varayogula Sai Niveditha , Gohil B. V.
Published: May 2024

The chapter on cybercrime and cyber terrorism examines the changing landscape of online criminal activities and terrorist actions. It assesses their complex impacts on individuals, organizations, and society in our fast-evolving technological world. The chapter covers various cybercrimes, like financial fraud and identity theft, uncovering the tactics used by cybercriminals. It also explores the motivations and methods of cyber terrorists through real-world cases. The chapter highlights the challenges faced by law enforcement and decision-makers due to the digital world's anonymity, emphasizing the need for innovative approaches. It stresses the role of cybersecurity experts in defending digital infrastructure and provides strategic recommendations to bridge theory and practice. This chapter is a vital resource for understanding and addressing digital threats in our increasingly digital society.
AI-Driven Approaches to Reshape Forensic Practices
Authors: Singla Anu , Shekhar Shashi , Ahirwar Neha
Published: May 2024

Forensic investigation is ushering into a new era of transformation propelled by rapid technological developments and innovations. The criminals are getting smarter, and crimes are becoming more complex; in such a time dissemination of justice requires commensurate technological enhancement. This chapter explores the vast potential of AI in revolutionizing Forensic Science and provides a succinct overview into the applicability of artificial intelligence (AI) and machine learning (ML) to facilitate classification, characterization, discrimination, differentiation, and recognition of forensic exhibits. This chapter further delves into the fundamental principles of supervised, unsupervised, semi-supervised, and reinforcement learning approaches and describes common ML methods which are frequently employed by researchers of this field.
A Novel Decision-Making Framework for Addressing Digitalization Solutions in the Medical System Under Generalized Fuzzy Rough Information
Authors: Dutta Pushan Kumar , Ullah Atta
Published: May 2024

In this study, the authors are interested in exploring the existing concepts of fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, q-rung orthopair fuzzy sets, hesitant fuzzy sets, and fuzzy rough sets in order to reduce the difficulty of their capabilities and will point out the possible limitations and advantages in order to develop new structures of q-rung orthopair hesitant fuzzy rough sets, complex q-rung orthopair hesitant fuzzy rough sets, and complex q-rung orthopair probabilistic hesitant fuzzy rough sets and their basic results. The authors will also develop some new extensions to the existing literature and then compare the results with the existing notions. They will also do some work on the graphical features of existing literature and try to introduce some novel graph theoretic concepts for new generalities.
Aroma of Highly Smart Internet of Medical Things (IoMT) and Lightweight EdgeTrust Expansion Medical Care Facilities for Electronic Healthcare Systems
Authors: Singh Bhupinder , Kaunert Christian
Published: May 2024

The internet of medical things (IoMT) represents a paradigm shift in healthcare, ushering in an era where web-connected devices seamlessly collect, transmit, and analyze crucial health-related information without the need for direct human intervention. The rapid evolution of internet of things technologies has paved the way for innovative solutions in the medical domain. IoMT extends this progress into healthcare by integrating a plethora of smart, connected devices that operate proactively across various facets of the medical ecosystem. These devices, ranging from wearable sensors and implantable devices to intelligent hospital equipment, form a comprehensive network that significantly enhances the efficiency, cost-effectiveness, and personalization of healthcare services. The applications of IoMT discussed in this paper underscore its potential to revolutionize the way healthcare is delivered and received, shaping a future where technology and medicine converge for the betterment of global health.
Impact of Surya Namaskar Yog on QoL of Employees
Authors: Sagar Sheelu , Rastogi Rohit , Gupta Benu
Published: May 2024

In industry 5.0, which practices, skills, or traits of employees matter most for stress-free life? Does the observability of these features affect appropriately companies' progress? Poor quality of life (QoL) is caused by high cholesterol, hypo- and hyperthyroidism, hypertension, obesity, diabetes, and other conditions. The beginning of lifestyle illnesses is linked to a sedentary lifestyle and stress. The aim of this study was to analyse the impact of Surya Namaskar Yog on the QoL of industrial employees. Surya namaskar yog works as the smart therapeutic potential and acts as an alternate therapy. The research method used in this research is a quantitative-experimental method to determine whether survey or experiment results are significant, ANOVA test was performed. The measure for quality of life as prescribed by WHO in “WHOQoL-BREF” has been chosen as the QoL indicator in this study. This scale has been used in numerous other studies also, however none of researchers have applied it to the industry 5.0. for industrial workers.
AI in EdTech and FinTech
Authors: Mkparu Uzoma Ada
Published: May 2024

Artificial intelligence as a component of education technology and financial technology is burgeoning and its capacity for disruption is being demonstrated in some of the most dominant use cases in these sectors. As this emergence takes place, there is a need to ensure that appropriate governance and stakeholder engagement are in place to facilitate data privacy policies that minimise risk, bias, discrimination, and other unintended consequences that could occur from the use of these technologies. This chapter delves into the state of artificial intelligence in the EdTech and FinTech sectors, the current stakeholder, governance, and data privacy challenges and recommends how the interplay of stakeholder engagement, regulation, and governance at the regional, national, organisational and project levels can contribute to robust data privacy policies in these sectors.
Driving Profitable Business Growth Through Economical Optimization, Energy Management, and Industrial 5.0 Innovations
Authors: Pachuau Lalchhantluangi , Bhaskar D. N. S. , Manimegalai V. , Varde Yashswini , Y. S. Harshitha , Murugan S.
Published: May 2024

The chapter emphasizes the significance of economic optimization, energy efficiency, and Industrial 5.0 innovations in driving sustainable growth and profitability in today's business landscape. It highlights the strategic allocation of resources to maximize efficiency and minimize costs, using lean management principles, automation, and data analytics. Energy management is crucial for reducing operational costs and mitigating environmental impact, using renewable energy sources and smart technologies. Industrial 5.0, a new era of industrial transformation, combines automation, connectivity, and data exchange, with technologies like artificial intelligence, IoT, and blockchain.
“Is It a Machine Influencing Me?”
Authors: Bakır Uğur , Akyol Zöhre , Bazarcı Selçuk
Published: May 2024

Influencer marketing has been one of the most widely used applications in the field of marketing in recent years. This chapter examines how hyper-realistic influencers are used in the field of marketing communication and how they interact with users on social media platforms. Within the scope of this research, different hyper-realistic AI ınfluencers various advertising agencies have recently put forward and offered to the service of brands were identified and subjected to content analysis based on their follower numbers and interactions together with an analysis, from various perpecrives, of the way these AI-supported influencers present themselves and their social media posts. According to the results of the research, hyper-realistic AI influencers act with a specific purpose and structure their accounts in accordance with their followers' expectations. Ensuring consistency between the language they use and the tone of their posts, hyper-realistic AI influencers prioritize the need to establish a strong and dynamic communication with their followers as reflected by their posts.
Impact of AI in Library Operations
Authors: Bhuvaneswari G. , Vijaya Rajakumar P. T.
Published: May 2024

Artificial intelligence (AI) is disrupting how information is processed and searched. It can help information professionals improve their services by allowing individuals to perform more effective searches. However, there are concerns about its potential to replace humans in various jobs and lead to catastrophic events. Artificial intelligence (AI) has positive and negative impacts, but its potential to improve the operations of libraries far outweigh its drawbacks. According to Robinson, it can help them achieve their goals of improving the user experience and operational efficiency. AI can help libraries establish themselves as leaders in the scholarly community. In advanced nations, such as the US, libraries have integrated the capabilities of AI by applying various cutting-edge technologies, like augmented reality and virtual reality. These innovations have greatly enhanced how individuals discover information. The chapter explores the utilization of AI within libraries and the obstacles that it encounters when it comes to implementation.
E-Resources Content Recommendation System Using AI
Authors: Nachiappan Balusamy
Published: May 2024

In the virtual age, the huge amount of available content material fabric poses a challenge for clients to find out applicable facts suited to their alternatives. To cope with this problem, the authors advise a practical content advice system (ICRS) that leverages superior synthetic intelligence (AI) techniques to enhance content discovery and person engagement. This tool employs a multifaceted method, incorporating collaborative filtering, content material-based totally absolutely filtering, and deep analyzing algorithms to generate customized tips. The collaborative filtering thing of the gadget analyzes user behaviors, alternatives, and interactions with content to grow to be aware about styles and similarities with exceptional users. This collaborative method helps in recommending content that aligns with a user's interests based totally on the alternatives of like-minded people.
Anticipating AI Impact on Library Services
Authors: Lalitha B. , Ramalakshmi K. , Gunasekaran Hemalatha , Murugesan P. , Saminasri P. , Rajkumar N.
Published: May 2024

Artificial intelligence (AI) is an emerging field in library science, involving the programming of computers to execute tasks that typically require human intelligence. The overarching goal is to create computer systems capable of thinking and acting like humans, which holds profound implications for the field of librarianship. AI has found widespread application within libraries, with examples including expert systems for reference assistance, robots designed to assist with tasks like book sorting, and the integration of virtual reality for immersive learning experiences. While some may fear that AI implementation could distance librarians from their users, the prevailing view suggests that it will instead complement human expertise rather than replace it. By leveraging AI, libraries can enhance their service delivery, streamline operations, and adapt to the evolving demands of a digital society.
AI Insights Deciphering India's Ascendancy Through the Digital Library
Authors: Velmurugan B. , Dharmalingam S. , Binith Muthukrishnan K. , Senthilkumar K. R.
Published: May 2024

India's trajectory toward digital eminence is intricately woven into the fabric of its burgeoning digital library ecosystem. Through the lens of artificial intelligence (AI) insights, this chapter delineates the pivotal role of digital libraries in India's ascent within the global digital milieu. At the heart of this exploration lies the profound impact of digital libraries as reservoirs of knowledge, catalyzing innovation, and fostering inclusive growth. By employing a multifaceted analysis, the authors uncover the transformative potential inherent in these repositories, elucidating their capacity to democratize access to information, propel research and education, and underpin socioeconomic advancement.
Stimulating the Post-COVID-19 Economic Recovery Scenarios to Evaluate Students' Understanding
Authors: Ilollari Orkida , Papajorgji Petraq , Civici Ardian
Published: May 2024

This study presents a simulation of economic scenarios using Mind Genomics to evaluate the maturity and ability of students involved in the master's and bachelor's programs to make sound decisions. A third group of specialists in economics is added to the study to evaluate differences among these groups. A comprehensive investigation of the current literature is undertaken to comprehend how different studies have dealt with the issue of the post-COVID-19 recovery process. Literature findings are used to design the Mind Genomics experiment and enable comparisons of student responses with literature findings. The study shows that, in general, master students converge with specialists in economics. The study shows some discrepancies in the scenario-evaluation process between master's and bachelor's students. Finally, recommendations for program examination and potential improvements are suggested to further align the teaching process to market scenarios.
“Fridays Are Racist”
Authors: Medina Lana
Published: May 2024

Social media platforms have become a threat to democracy and human flourishing. Critics have previously expressed alarm that our ever-increasing technological habits are negatively influencing human values and virtues. This research explores how the engagement design of social media sites is a morally questionable metric for social media ‘success'. Using a virtue ethics framework in relation to technology ethics research, as well as drawing from the work of Ellul (1962) and technology philosophers, this paper emphasizes the need for perspective and civility in engagement and argues for solutions that withdraw from an engagement design built on efficiency and financial gain. Proposed solutions include global change in the form of 1) altered weights for algorithmic prioritization (e.g., promoting diverse topics and reducing tribalist engagement), 2) returning autonomy to users (compared to corporate control), and 3) global legislation (i.e., the European Union's DSA).
Peculiar association of a small coronary arteriovenous fistula with inferior wall myocardial infarction
Authors: Dadarwal Anurodh , Kapoor Aditya , Sahu Ankit Kumar
Published: May 2024

Coronary arteriovenous fistula (CVAF) is usually an asymptomatic, incidental finding observed in 0.1%–0.2% of patients undergoing coronary angiography. Myocardial infarction (MI) secondary to a CVAF has been rarely reported. We herein describe a case of a young male presenting with acute inferior wall MI without any underlying cardiovascular risk factors and normal coronaries except for the presence of a small CVAF arising from the proximal right coronary artery. This report deliberates on the possibility of this fistula being an incidental finding as a bystander or as a culprit in this special clinical scenario, after careful exclusion of other possible nonatherosclerotic etiologies.
The angiographic study of right ventricular outflow tract and pulmonary artery anatomy in tetralogy of Fallot
Authors: Buchade Anusha , Sastry Usha MK , Jayranganath M. , Parshwanath Bharath Adaligere
Published: May 2024

Objective:

The objective of the study is to determine various anatomic variations in the pulmonary vasculature and associated cardiac defects in patients with tetralogy of Fallot (TOF).

Methods:

This was a cross-sectional descriptive study conducted at Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bangalore from January 2009 to December 2017. A total of 100 patients irrespective of age and gender, who were subjected to cardiac catheterization were enrolled in the study which included all age groups. Measurement of pulmonary valve annulus, main pulmonary artery, right pulmonary artery (RPA), left pulmonary artery (LPA), and descending aorta was taken and corresponding z scores were calculated. McGoon ratio and Nakata index were also calculated.

Results:

The age group in our study varied from 9 months to 49 years of age. Male-to-female gender ratio was 3:2. All patients had subvalvar (infundibular) stenosis and 82% of patients had stenosis at the valvar level. Seven patients had discrete stenosis, another seven patients had disconnection of RPA or LPA and six patients had supravalvar stenosis in the form of diffuse hypoplasia of one of the pulmonary arteries (PA). Significant communicating major aortopulmonary collaterals arteries (MAPCAs) were seen in 5% of patients and 16% of the patients had a persistent patent ductus arteriosus (PDA). Persistent left superior vena cava was present in 9 patients and 13% of the patients had coronary anomalies.

Conclusion:

Subvalvular stenosis, confluence of PA, discrete, disconnected, and diffuse stenosis of LPA and RPA were the most common PA abnormalities found in patients with TOF. Significant-associated cardiac lesions including communicating MAPCA, PDA, and coronary anomaly were more commonly observed in these patients.
Role of spironolactone in patients with resistant hypertension
Authors: SHETH GEETA , JOSHI KAVITA
Published: May 2024

Treatment-resistant hypertension (RH) is defined as uncontrolled blood pressure (BP) despite use of at least three different antihypertensive agents (including angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, calcium channel blocker, and a diuretic) at their optimal doses. It is important to properly diagnose and treat RH because patients are at high risk of end-organ damage. Activated renin-angiotensin-aldosterone system, increased renal sympathetic nervous system activity (increase sodium and water reabsorption and thus increase in extracellular fluid volume), and increased arterial stiffness become the main reason for hypertension. Therefore, a controlled BP can be achieved by the use of mineralocorticoid receptor blockers as add-on treatment to the first-line triple-drug combination therapy. In this review, we provide evidences from various studies comparing spironolactone treatment with other comparators (diuretics or other mineralocorticoid receptor blockers) or placebo signifying spironolactone is beneficial for controlling BP in patients with RH. Furthermore, there is a greater need to increase the use of mineralocorticoid receptor blocker, spironolactone, as fourth-line medication add-on to three drug therapy in patients with RH.