CONSTRAINTS AND CHALLENGES IN THE IMPLEMENTATION OF TOTAL QUALITY MANAGEMENT (TQM) IN CONTRACTING ORGANISATION by Oluwaseyi AJAYI, Temidayo OSUNSANMI

“…As building projects get large and becoming complex, clients are requiring a higher quality standard for project delivery with lower construction cost. …”
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Influence of Al2O3 Content on the Melting and Fluidity of Blast Furnace Type Slag with Low TiO2 Content by Hao Liu, Yuelin Qin, Yanhua Yang, Qianying Zhang, Nengyun Deng

“…The viscous flow activation energy of molten slag rises from 157 kJ/mol to 172 kJ/mol with an increase in Al2O3 content, and the viscous flow units in the slag become large and complicated. When slag is cooled, the main precipitated phase is melilitite. …”
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Online purchase intentions of affluent women: blending African beliefs, consumer vanity and luxury beauty products online purchase intentions by Divaries Cosmas Jaravaza, Paul Mukucha, Lucy Nhidza, Forbes Makudza

“…With the growing popularity of online shopping and the increasing demand for luxury beauty products, understanding the underlying cultural factors influencing consumer behaviour becomes crucial for marketers and researchers alike. …”
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A Nanotechnology Enhancement to Moore's Law by Jerry Wu, Yin-Lin Shen, Kitt Reinhardt, Harold Szu, Boqun Dong

“…As the devices continue to shrink into the 20 to 30 nm range, the consideration of thermal properties and transport in such devices becomes increasingly important. (ii) Quantum computing: The other types of transistor material are rapidly developed in laboratories worldwide, for example, Spintronics, Nanostorage, HP display Nanotechnology, which are modifying this Law. …”
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Exploring the Zimbabwean Technical and Vocational Education Journey: Challenges and Prospects by Albert Mufanechiya, Bekithemba Dube, Gift Masengwe

“…In addressing these challenges, it becomes possible to create an environment where TVET education is valued and considered a viable pathway for individuals, and national economic and social development. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

“…Renewable energy production and the balance between production and demand have become increasingly crucial in modern power systems, necessitating accurate forecasting. …”
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Factoring Central Asia in the Russia-India Energy Trade by A. Dhaka, M. Dmitrieva

“…The Central Asian Republics hold a special position for Russia and India in terms of strategic security across South and Central Asian region. …”
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Relationship of asprosin and diabetes: a meta-analysis by Xiandong Zeng, Xin Sun, Wei He, Jing Xie, Caihong Xin

“…Abstract Background Diabetes characterized by chronic hyperglycemia, has become a serious hazard to human health in the recent decades. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…The suggested CNN model outperforms the current methods in terms of performance.…”
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Cementation of copper onto brass particles in a packed bed by Stanković Velizar D., Šerbula Snežana M., Jančeva B.

“…Increasing the initial pH value of treated solution, the rate of cementation has significantly been slowed down and, at pH > 2.6, the process becomes very slow due to an H+-ions consumption and consequently measurable change of pH during the process. …”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…As renewable energy integration increases, precise electricity demand forecasting becomes essential at every power system level. This study presents and compares nine machine learning (ML) methods for forecasting, Interpretable ML, Explainable ML, and Blackbox model. …”
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Experimental Study on Warm Permafrost Dynamic Characteristics under Cyclic Loading in the Cold Region by Liwei Song, Junfang Liu, Yan Jin, Chi Li, Songbao Cai

“…When σ3=20 kPa and σ1−σ3|max=100 kPa, the hysteretic loops become smoother and appear oval. The test stopped while the axial strain reached 5% after loading 1279 times, and the dynamic modulus decreases with loading time increasing. …”
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INTEGRITY WHISTLEBLOWERS IN THE ROMANIAN LEGAL SYSTEM by Florin STOICA

“…Seen as a measure that comes to consecrate the modernism of the Romanian legal system, but also as a measure of the legislative maturity it has reached after countless reforms, the initiation of investigations regarding integrity whistleblowers has become a reality. What will be the impact on Romanian society? …”
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Cover it up! Visual euphemisation strategies for transforming non-religious songs into Islamic songs in music videos by Ikke Dewi Pratama, SF Luthfie Arguby Purnomo, Arina Rohmatika, Nestiani Hutami

“…In Indonesia, covering songs with an Islamic theme has become a trend that is gaining more and more popularity. …”
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Dust deposition characteristics on photovoltaic arrays investigated through wind tunnel experiments by Juan Wang, Weiwei Hu, Yunyun Wen, Fei Zhang, Xingcai Li

“…Notably, when the spacing between panels exceeds twice the panel height, the mutual influence on dust deposition becomes negligible, providing a quantifiable threshold for optimal panel spacing. …”
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Similarity Measure Learning in Closed-Form Solution for Image Classification by Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang, Yuewei Lin

“…Recently, distance learning is becoming an active research problem. In fact, the distance is the natural measure for dissimilarity. …”
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Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm by Nana Zhang, Qi An, Shuai Zhang, Huanhuan Ma

“…Among these models, the Light gradient boosting machine model is shown to have the highest prediction accuracy and the most stable performance across three different datasets under both long-term and short-term time windows. As the time window length increases, the Light gradient boosting machine model becomes more advantageous for effectively reducing error fluctuation, demonstrating better robustness. …”
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Survey on Ethereum phishing detection technology by Zhao CAI, Tao JING, Shuang REN

“…With the widespread application of blockchain technology, phishing scams have become a major threat to blockchain platforms.Due to the irreversibility, anonymity, and tamper-proof nature of blockchain transactions, phishing attacks often have a high degree of deception and concealment, causing significant losses to both users and businesses.Ethereum platform, with its smart contract functionality, has attracted many crypto currency investors.However, this widespread popularity has also attracted an influx of criminals, leading to the rise of cybercrime activities.Among them, phishing scams are one of the main forms of fraud on the Ethereum platform.To tackle this issue, researchers have developed Ethereum network phishing identification technology, achieving significant progress in this field.However, there has been relatively little systematic analysis and summary of these research results.The current state of phishing fraud on the Ethereum network was analyzed.Moreover, a comprehensive summary of existing phishing detection datasets and evaluation metrics were provided.On this basis, methods for detecting phishing on Ethereum were reviewed, including those based on transaction information, graph embedding and graph neural networks.Transaction information-based methods are the most common, analyzing information such as input and output addresses and amounts in transaction data to determine whether a transaction is abnormal.Methods based on graph embedding and graph neural networks place more emphasis on analyzing the entire transaction network, constructing a graph structure to analyze the relationships between nodes, and more accurately identifying phishing attacks.In addition, a comparative analysis of the advantages and disadvantages of various methods was conducted, explaining the applicability and limitations of each method.Finally, the challenges facing Ethereum phishing detection were pointed out, and the future research trends for Ethereum phishing detection were predicted.…”
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Further Developments of Bessel Functions via Conformable Calculus with Applications by Mahmoud Abul-Ez, Mohra Zayed, Ali Youssef

“…As fractional calculus has become an efficient and successful tool for analyzing various mathematical and physical problems, the so-called fractional Bessel functions were introduced and studied from different viewpoints. …”
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Fecal Calprotectin: A Reliable Predictor of Mucosal Healing after Treatment for Active Ulcerative Colitis by Vendel Kristensen, Arne Røseth, Tahir Ahmad, Viggo Skar, Bjørn Moum

“…Objectives. Mucosal healing has become the new goal of treatment in ulcerative colitis. …”
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