World Scientific

This study establishes sharp spectral gap estimates for higher-order operators on Cartan–Hadamard manifolds, contributing to the understanding of spectral properties in differential geometry and geometric analysis.

🔗worldscientific.com/doi/reader/10.…

𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐀𝐫𝐭𝐢𝐜𝐥𝐞𝐬 | 𝐅𝐚𝐦𝐢𝐥𝐲 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬, 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐢𝐨𝐧 & 𝐓𝐫𝐚𝐧𝐬𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫𝐬𝐡𝐢𝐩
How do family businesses successfully pass leadership, values, and entrepreneurial drive from one generation to the next?

Explore featured research from the Journal of Enterprising Culture (JEC) on succession, family involvement, successor competencies, firm performance, and transgenerational entrepreneurship.

🆓 Free access to these featured articles until 31 December 2026.

🔹 Transgenerational Entrepreneuring in Multigenerational Family Firms: Succession as a Catalyst of Strategic Renewal and Entrepreneurial Mindset Transfer
Didier Chabaud, Hedi Yezza, and Mariem Hannachi
worldscientific.com/doi/10.1142/S0…

🔹 Relationship between Entrepreneurial Orientation and Firm-Level Performance under Family Involvement: A Study of SMEs in Vietnam
Nam Hoang Vu, Prof Jarrod Haar, PhD, FRSNZ, CFHRNZ, and Shane Scahill, PhD
worldscientific.com/doi/10.1142/S0…

🔹 Firms’ Environmental Commitment and Environmental Protection: Is Family Involvement a Catalyst for True Environmental Responsibility?
Sami BASLY and Mohamed Bouamama
worldscientific.com/doi/10.1142/S0…

🔹 Research on 4E Model of Successor Competencies in Family Business
Lixia Wang, Yuan Jiang, and Ningning Xu
worldscientific.com/doi/epdf/10.11…

🔹 Theorising on the Latino Family Business Simpatia, Familismo, Fama, and Solidaridad Contexts
Georgios Palaiologos and Dr. Tobias Koellner
worldscientific.com/doi/epdf/10.11…

📖 Explore the full featured collection:
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🏛️ Find JEC useful for your research or teaching? Recommend it to your library:
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Editor-In-Chief: Wee Liang Tan, Prof.
Deputy Editor: Pi-Shen Seet
Managing Editor: Ravinder K Zutshi and Dr. Deepak Pandit
Associate Editors: Dr Michael Schaper, FAICD and Akriti Chandra

#FamilyBusiness #Succession #Entrepreneurship #FamilyFirms #SMEs #BusinessResearch #JEC

Inflate the income, deflate the losses, and the fraud hides in plain sight across thousands of financial statements. Manual auditing cannot keep up.

Explore one of the most-read articles from the International Journal of Cooperative Information Systems:
🔬 𝘿𝙚𝙩𝙚𝙘𝙩𝙞𝙤𝙣 𝙤𝙛 𝘽𝙖𝙣𝙠𝙞𝙣𝙜 𝙁𝙞𝙣𝙖𝙣𝙘𝙞𝙖𝙡 𝙁𝙧𝙖𝙪𝙙𝙨 𝙐𝙨𝙞𝙣𝙜 𝙃𝙮𝙥𝙚𝙧-𝙋𝙖𝙧𝙖𝙢𝙚𝙩𝙚𝙧 𝙏𝙪𝙣𝙞𝙣𝙜 𝙤𝙛 𝘿𝙇 𝙞𝙣 𝘾𝙡𝙤𝙪𝙙 𝘾𝙤𝙢𝙥𝙪𝙩𝙞𝙣𝙜 𝙀𝙣𝙫𝙞𝙧𝙤𝙣𝙢𝙚𝙣𝙩
Authored by Kamal Upreti, Prashant Vats, Aravindan Srinivasan, K. V. Daya Sagar, R. Mahaveerakannan and G. Charles Babu, this paper offers a new method for fraud detection as more individuals move their financial transactions online and frauds grow more complex at evading the protections banks have put in place.

The proposed method uses:
• An ensemble model combining Feedforward Neural Networks and Long Short-Term Memories
• The Spotted Hyena Optimizer, a metaheuristic technique, to select LSTM weights and biases
• Mathematical models of SHO's three phases: searching for prey, encircling prey and attacking prey
• A model of the user's spending habits, with suspicious outliers flagged as potential fraud
• An ensemble mechanism drawing predictive value from previous trades

Manual auditing and inspection are time-consuming, inefficient and expensive ways to spot fraudulent financial statements. Analysed against real-world data, the proposed model delivers superior performance over state-of-the-art approaches across a variety of settings.

📖 Read more about this article: worldscientific.com/doi/10.1142/S0…

#FraudDetection #FinancialFraud #DeepLearning #LSTM #MetaheuristicOptimization #BankingTechnology #CloudComputing

🧬💾 As sequencing generates exabytes of biological data, how do we compress, standardise, and process genomic information without losing the signals that matter most for science and medicine?

📘 𝙂𝙚𝙣𝙤𝙢𝙞𝙘 𝘿𝙖𝙩𝙖 𝘾𝙤𝙢𝙥𝙧𝙚𝙨𝙨𝙞𝙤𝙣 𝙖𝙣𝙙 𝙋𝙧𝙤𝙘𝙚𝙨𝙨𝙞𝙣𝙜, edited by Idoia Ochoa and Tsachy Weissman, provides a comprehensive treatment of the principles, algorithms, and standards that underpin genomic data compression and processing.

Written by top international experts, including developers of state-of-the-art genomic compressors and members of the teams shaping current standards, this volume spans everything from FASTA and FASTQ compression to MPEG-G standardisation and learning-based deep neural architectures.

🔎 Why this book is essential reading:

📖 1. Foundations of Genomic Compression
🎯 Introduction to the fundamental roles of genomic data compression
📊 Key metrics such as compression ratio and runtime
🛠️ Choosing the right compressor for the right task

🧬 2. Genomic Pipelines and Data Types
🔬 Genomic processing pipelines and their outputs
📁 FASTA, FASTQ, SAM/BAM, and VCF file structures
🧪 Single-cell transcriptomic data considerations

🗜️ 3. Compression Across File Types
🧵 Compression of FASTA data
📖 Compression of FASTQ files
🗃️ Compression of SAM/BAM files, VCF genetic variation data, and single-cell transcriptomic data

📜 4. Standardisation Efforts
🌐 The ISO/IEC 23092 (MPEG-G) series
🤝 Global Alliance for Genomics and Health (GA4GH) initiatives
🧩 Bridging tools, standards, and interoperability

🧠 5. Applications and the Future of Genome Compression
🎯 Lossless compression for genomic data classification
🤖 Learning-based compression with deep neural architectures
🚀 Model mixing, autoencoder frameworks, and the future of genome compression

🌐 Explore the book here: worldscientific.com/worldscibooks/…

💡 Ideal for computational biologists, data engineers, and information theorists interested in the interplay between statistical modelling, compression, and biological data management.

👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now!

#GenomicDataCompression #NextGenerationSequencing #FASTQCompression #FASTACompression #SAMBAMCompression #VCFCompression #SingleCellTranscriptomicsCompression #MPEGGStandard #GA4GHStandards #LosslessGenomicCompression #LossyGenomicCompression #NeuralCompressionGenomics #AutoencoderCompression #GenomicDataClassification #ModelMixingCompression #BioinformaticsPipelines #GenomicDataStandardisation #TopologicalGenomicIndexing

𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐀𝐫𝐭𝐢𝐜𝐥𝐞𝐬 | 𝐆𝐥𝐨𝐛𝐚𝐥 𝐓𝐫𝐚𝐝𝐞 𝐢𝐧 𝐚𝐧 𝐄𝐫𝐚 𝐨𝐟 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲

Tariffs, sanctions, trade agreements, and shifting market relationships are reshaping the global economy.

Explore selected research from the 𝘎𝘭𝘰𝘣𝘢𝘭 𝘌𝘤𝘰𝘯𝘰𝘮𝘺 𝘑𝘰𝘶𝘳𝘯𝘢𝘭 (𝘎𝘌𝘑) examining how trade policy uncertainty, regional integration, comparative advantage, and cross-border economic activity are influencing global markets and economic growth.

➡️ Trump’s Trade War: EU Exports at Risk and Alternative Markets
Wim Naudé and Martin Cameron
doi.org/10.1142/S21945…

➡️ Sanction Busting, Regional Integration and Institutions
Joseph Pelzman, Murat Issabayev, and Kairat Moldashev
doi.org/10.1142/S21945…

➡️ Multilateral Comparative Advantage and Net Exports
Nazif Durmaz and Henry Thompson
doi.org/10.1142/S21945…

➡️ Evolving Trade Landscapes: Analyzing the Network Dynamics of Preferential Trade Agreements (1948–2023)
Márton Gosztonyi and Dániel Oross
doi.org/10.1142/S21945…

➡️ U.S. Trade Policy Uncertainty and Emerging and Frontier Markets Returns
Maria de Boyrie and Ivelina Pavlova-Stout, Ph.D., CFP®
doi.org/10.1142/S21945…

➡️ Do International Trade, Official Immigration, and International Tourism Contribute to US Real GDP Growth?
Matiur Rahman
doi.org/10.1142/S21945…

Together, these studies provide different perspectives on how the global trading system is evolving amid policy uncertainty, geopolitical pressures, and changing patterns of international economic activity.

🔎 Explore the full featured collection:
worldscientific.com/page/gej/featu…

📚 Find GEJ useful for your research or teaching? Recommend it to your library:
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#GlobalTrade #InternationalEconomics #TradePolicy #Tariffs #Sanctions #TradeAgreements #EmergingMarkets #GlobalEconomy #EconomicResearch #GEJ