An Experimental Dynamic Investigation of the Influence of Melatonin, Serotonin and Tryptophan on the Stability of the DNA Structure by Cristina Manuela Drăgoi, Anca Zanfirescu, Ion-Bogdan Dumitrescu, Anca Ungurianu, Denisa Marilena Margină, Alina-Crenguţa Nicolae

“…Among these molecules, indole derivatives like tryptophan, serotonin, and melatonin are notable for their widespread presence in nature and significant biological effects. …”
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On the interplay of constraints from $$B_{s},$$ B s , D,  and K meson mixing in $$Z^\prime $$ Z ′ models with implications for $$b\!\rightarrow \! s \nu {\bar{\nu }}$$ b → s ν ν ¯... by Andrzej J. Buras, Peter Stangl

“…We show that in this case, large $$Z^\prime bs$$ Z ′ b s couplings generate effects in D and K meson mixing observables, but that the D and K mixing constraints and the relation between $$\Delta _R^{bs}$$ Δ R bs and $$\Delta _L^{bs}$$ Δ L bs are fully compatible with a lepton flavour universality (LFU) conserving explanation of the most recent $$b\rightarrow s\ell ^+\ell ^-$$ b → s ℓ + ℓ - experimental data without violating other constraints like $$e^+ e^-\rightarrow \ell ^+\ell ^-$$ e + e - → ℓ + ℓ - scattering. …”
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Experiences and needs of patients with MDR/XDR-TB: a qualitative study among Saharia tribe in Madhya Pradesh, Central India by Samridhi Nigam, Ravendra K Sharma, Rajiv Yadav, Vikas Gangadhar Rao, Prashant Mishra, Mercy Aparna Lingala, Jyothi Bhat

“…Also, there was the impact of factors like lack of education and awareness, poor living conditions and lack of healthcare facilities on predominance of the disease in the community. …”
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VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

“…It also requires fewer parameters and takes minimum training time. • The major contribution of this study is the design of an optimized, efficient and enhanced deep learning technique for multiclass rice crop disease detection embracing with batch normalization, dropout and genetic optimization algorithm to improve generalization power and restrict the overlearning capability for seen and unseen data. • Proposed VCNet, a shallow model with deep feature extraction, employs VGG16 layers for initial extraction fused with custom CNN architecture to correctly detect the challenging classes of diseases like sheath rot in multiclass classification. • The most significant observation is that VCNet accurately predicts the rice disease for each class of diseases under study whereas the existing powerful models largely misclassified for some classes of diseases in multiclass classification.…”
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BIM and cloud-based tools integration for BREEAM in energy-efficient building design: A case study by Bogdan Chelaru, Cătălin Onuțu, Gabriela Ungureanu, Irina Volf, Adrian Alexandru Șerbănoiu

“…Additionally, the Dalux Common Data Environment (CDE) facilitated efficient data management, enabling real-time collaboration, issue tracking, and the centralized sharing of updated design information, ensuring alignment with sustainability objectives and aligned with BREEAM criteria. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…RANSAC is then used to fit the model parameters of the processed dataset. The optimal parameters for the linear model are obtained after multiple iterative processes. …”
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Identification of Synchronous Generator Electric Parameters Connected to the Distribution Grid by Frolov M. Yu., Fishov A. G.

“…It means that active consumers, owners of distributed power units, including mobile units, must have free access to the grid, like when using internet, so it is necessary to have plug and play technologies. …”
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El fundacionismo de la epistemología aristotélica by Alejandro Cassini

“…The first principles of science are not data, and they are not evident nor self-justified. 4) The principles are not incorrigible statements, because their discovery is fallible. …”
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Impact of Upgrade Programmes on the Competitiveness: Case of the Algerian Companies by Ghomari Souhila

“…Faced to a socio-economic environment that is marked by globalization of trade and competitiveness, Algeria is committed, like its neighbours, to do upgrade programmes which aim to support the dynamic of restructuring process, the industrial integration and growth. …”
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A Review of Generative Design Using Machine Learning for Additive Manufacturing by Parankush Koul

“…The scalability and predictability of artificial intelligence (AI) models make handling huge data easy and enable scale-up of production without compromising quality. …”
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Internet and Social Media’s Social Movements Leading to New Forms of Governance and Policymaking: Cases from India by Esha Sen Madhavan

“… Just as internet has touched and transformed every aspect of human life in present times, its significant effects on the realms of politics and governance is captured in this essay through some real world events like the social movements. Internet and social media have given new strength to social activism and in the process have laid the path for a new form of governance model – open, consultative and inclusive. …”
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Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…Detecting such application materials is essential to ensure that applicants are evaluated on their true merits and abilities, and to foster an equitable and trustworthy admissions process. Our research is based on 3755 LORs and 1973 SOIs extracted from the application records of Fordham University’s Master’s programs in Computer Science and Data Science. …”
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A Review of the Modeling of Adsorption of Organic and Inorganic Pollutants from Water Using Artificial Neural Networks by Hilda Elizabeth Reynel-Ávila, Ismael Alejandro Aguayo-Villarreal, Lizbeth Liliana Diaz-Muñoz, Jaime Moreno-Pérez, Francisco Javier Sánchez-Ruiz, Cintia Karina Rojas-Mayorga, Didilia Ileana Mendoza-Castillo, Adrián Bonilla-Petriciolet

“…Overall, the studies on adsorption modeling with artificial neural networks have focused mainly on the analysis of batch processes (87%) in comparison to dynamic systems (13%) like packed bed columns. …”
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Network Position and Crowdsourcing Innovation Contribution Behavior: The Moderating Role of Knowledge Absorption Capacity by Qingliang Meng, Yi Hang, Xiaojun Chen

“…The negative binomial regression model which is suitable for processing discrete data is used to examine the main effects of the network position, knowledge absorption capacity, and crowdsourcing innovation contribution behavior. …”
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Prediction of early breast cancer patient survival using ensembles of hypoxia signatures. by Inna Y Gong, Natalie S Fox, Vincent Huang, Paul C Boutros

“…Future signatures will likely require integration of intrinsic and extrinsic clinico-pathological variables to better predict disease-related outcomes.…”
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Understanding one health challenges in marginalized urban settings: A patient and public involvement (PPI) approach from the CHIP consortium activities across four global cities by Logan Manikam, Darlington David Faijue, Kalpita Shringarpure, Margi Sheth, Pam Factor-Livak, Priti Parikh, Hector Altamirano-Medina, Dewi Nur Aisyah, Radhika Sharma, Hemant Chaturvedi, Kaushik Sarkar, Rajib Dasgupta, Nancy Hiu Lan Leung, Pradeep Kumar Srivastava, Monica Lakhanpaul

“…Methods: A PPI approach was employed to involve communities in the research process, ensuring culturally relevant insights. Data collection included social mapping, transect walks, and key informant interviews in the four cities, highlighting critical health determinants such as environmental contamination, healthcare access, and animal-related risks. …”
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Geochronology and geochemistry of late Cenozoic volcanics on Naozhou Island, South China: insights into the interaction between the paleo-subduction slab and the Hainan mantle plum... by Jin Xu, Jin Xu, Hui Xie, Hui Xie, Hui Xie, Hui Xie, Zixuan Luo, Zixuan Luo, Yanting Chen, Yanting Chen, Hongcai Shi, Hongcai Shi, Hongcai Shi, Hongcai Shi

“…The mechanisms and processes of interaction between paleo-subducted slabs and mantle plumes are not well understood, primarily due to the challenges associated with direct observation. …”
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FAIR reporting of clinical trials for public health practice by E. Andrew Balas, Bussi S. Bussi, Noha Asem, Caroline Amour, Charles Mwanziva, Jose Vasquez, Nargis A. Labib, Matthew Price, Michael J. Mahande, Rohitha Baskar, Saidharshana Dhantu, Tiffany G. Townsend, Clement Aubert

“…We searched the Medline database for a random sample of clinical trials of HIV/AIDS management with likely relevance to public health in Africa. Five authors assessed trial reports for inclusion, extracted data, and assessed quality based on the FAIR principles of scientific data management (findable, accessible, interoperable, and reusable). …”
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Genetic analysis of 25 Chinese pedigrees with neurofibromatosis type 1 and genotype-phenotype study from an extended cohort by Hongjun Fei, Xu Han, Yiyao Chen, Yan Xu, Chunxin Chang, Ming Li, Yanlin Wang, Jian Wang, Niu Li, Shuyuan Li

“…Finally, 22 variants were classified as pathogenic or likely pathogenic. After evaluation of the clinical data and genetic evidence, the diagnoses of 31 patients from 25 families were confirmed. …”
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The Role of Near-Infrared Spectroscopy in Food Quality Assurance: A Review of the Past Two Decades by Marietta Fodor, Anna Matkovits, Eszter Luca Benes, Zsuzsa Jókai

“…This review aims to give a broad overview of the NIRS processes that have been used thus far to assist researchers employing non-destructive techniques in comparing their findings with earlier data and determining new research directions.…”
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