20 research outputs found

    How online search terms can help us track a pandemic and its effects

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    During rapidly unfolding disasters, people turn to the internet to express their frustrations and fears. This enables policymakers to draw on a rich source of data, writes Tohid Atashbar (Majlis Research Center of Iran). Two indicators in particular could prove useful in tracking the COVID-19 pandemic and its effects: searches concerning taste and smell, and fluctuations in searches for information about unemployment benefits

    Experiments on cold-formed steel moment-resisting connections with bolting friction-slip mechanism

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    Acknowledgement The tests reported herein were conducted at the Structures Laboratory of Building and Housing Research Centre of Iran with technical support from Iran Tohid Co. which are much appreciated. The first author is grateful to the Elphinstone PhD Scholarship provided by the University of Aberdeen.Peer reviewe

    Large-Scale Interatomic Potentials (Allegro-LAMMPS Compatible)

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    <p>This is the main result of the Allegro-trained potentials demonstrate outstanding performance, benefiting from the combination of an appropriate training dataset and parameter selection. This notably enhanced computational efficiency when compared to the computationally intensive DFT method, aided by GPU acceleration. This potential has been succefully tested Aspirin, (Iso)Sildenafil, Sildenafil, Ibuprofen,Urea and c-Mebendazole.</p> <p>[Add link of the publication paper here]</p><h2>Publication Title</h2> <h2>Harnessing Machine Learning for Efficient Large-Scale Interatomic Potentials on pharmaceuticals containing H, C, N, O, and S</h2> <p>E. Nikidis<sup>1,2</sup>, N. Kyriakopoulos<sup>1,2</sup>, R. Tohid<sup>3</sup>, K. Kachrimanis<sup>4,2</sup> and J. Kioseoglou<sup>1,2,*</sup></p> <p><em><sup>1 Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br>2 Center for Interdisciplinary Research & Innovation, Aristotle University of Thessaloniki, Greece<br>3 Center of Computation and Technology, Louisiana State University, 70803 Baton Rouge, USA <br>4 Pharmaceutical Technology Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br></sup></em></p> <p><em><sup>* Corresponding author, email: [email protected]</sup></em></p> <p><em><sup>Contact,email: [email protected]</sup></em></p&gt

    Modified Solvated Protein Fragments Dataset

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    <p> </p> <p>The "Solvated Protein Fragments" dataset<a title="" href="#_edn1" name="_ednref1">[i]</a>,<a title="" href="#_edn2" name="_ednref2">[ii]</a>probes many-body intermolecular interactions between "protein fragments" and water molecules, which are important for the description of many biologically relevant condensed phase system. In total, the dataset provides reference energies, forces, and dipole moments for 2,731,180 structures.This  sub-dataset was extracted from this original by only containing structures with all the C, N, H, O, S elements, molecules, hydroxide (OH) and methylidyne radical (CH), and carbon monoxide (CO) related structures that can be included in available molecules reaching 1gb in size and 721662 different molecules.</p> <div> <div> <p><a title="" href="#_ednref1" name="_edn1">[i]</a> Unke, O. T. and Meuwly, M. "PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments and Partial Charges" arxiv:1902.08408 (2019).</p> </div> <div> <p><a title="" href="#_ednref2" name="_edn2">[ii]</a> Unke, O.T. and Meuwly, M. (2019). Solvated protein fragments dataset. Zenodo. http://doi.org/10.5281/zenodo.2605372</p> </div> </div><h2>Publication Title</h2> <h2>Harnessing Machine Learning for Efficient Large-Scale Interatomic Potentials on pharmaceuticals containing H, C, N, O, and S</h2> <p>E. Nikidis<sup>1,2</sup>, N. Kyriakopoulos<sup>1,2</sup>, R. Tohid<sup>3</sup>, K. Kachrimanis<sup>4,2</sup> and J. Kioseoglou<sup>1,2,*</sup></p> <p><em><sup>1 Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br>2 Center for Interdisciplinary Research & Innovation, Aristotle University of Thessaloniki, Greece<br>3 Center of Computation and Technology, Louisiana State University, 70803 Baton Rouge, USA <br>4 Pharmaceutical Technology Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br></sup></em></p> <p><em><sup>* Corresponding author, email: [email protected]</sup></em></p> <p><em><sup>Contact,email: [email protected]</sup></em></p&gt

    Effects of Ginger on Advanced Glycation End-Products and Inflammation in the Ovarian Tissue of Streptozotocin-Induced Diabetic Rats

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    Background and Aim: Advanced glycation end products (AGEs) and inflammation play a crucial role in the progression of diabetic complications, including ovarian disorders. The current research investigated the potential impact of hydroalcoholic extract of ginger (Zingiber Officinale) on hyperglycemia-induced AGEs and inflammatory markers. Methods:  A total of 96 female Wistar rats were randomized into four groups (n=24 in each group) as follows: 1) control, 2) diabetes, 3) diabetes + 200 mg/kg ginger, 4) diabetes + 400 mg/kg ginger. Streptozotocin (STZ) - induced diabetic rats, as our experimental model for diabetes, orally received 200 or 400 mg/kg/day ginger extract for eight weeks. At the end of the treatment period, body weight, ovarian weight, serum AGEs level, ovarian RAGE, IL-1β, and TNF-α mRNA levels were measured. Results:  At the end of the study, diabetic rats exhibited an obvious decrease in body weight (P < 0.01) and ovarian weight (P < 0.01) compared to normal rats. However, ginger supplementation (200 mg/kg) exhibited a significant increment in ovarian weight (P < 0.05) and body weight (P < 0.01). These changes were also more pronounced in the diabetic rats treated with 400 mg/kg ginger extract (P < 0.01). Serum AGEs (P < 0.001) and ovarian RAGE (P < 0.01), IL-1β (P < 0.01), and TNF-α (P < 0.01) mRNA levels were significantly elevated in diabetic rats compared with control group. Administration of the diabetic group with 200 mg/kg ginger extract significantly ameliorated the serum level of AGEs (P < 0.01) and the transcript levels of RAGE (P < 0.05), TNF-α (P < 0.01) and IL-1β (P < 0.05). The 400 mg/kg ginger extract dose remarkably alleviated AGEs (P < 0.001) in the serum and RAGE (P < 0.01), TNF-α (P < 0.01), and IL-1β (P < 0.01) in the ovary of diabetic rats. Conclusion: The present study's findings revealed that daily administration of ginger extract reduces AGEs and the transcript levels of RAGE and inflammatory markers in the STZ- induced female rats. *Corresponding Author: Tohid Moradi Gardeshi; Email: [email protected]; ORCID ID:                            0000-0002-3366-0211 Please cite this article as:  Hasani SK, Pourmahdi O, Fallah Raoufi M, Moradi Gardeshi T. Effects of Ginger on Advanced Glycation End Products and Inflammation in the Ovarian Tissue of Streptozotocin-Induced Diabetic Rats. Arch Med Lab Sci. 2022;8:1-7 (e8). https://doi.org/10.22037/amls.v8.3872

    Unconventional monetary theories in modern Middle Eastern economic schools amended october 2019

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    Abstract. In this study, we classify the unconventional monetary views found in the modern Middle East economic literature into five main categories. These five categories include 1) Full reserve-like approach to the banking system, 2) Commodity/Asset-backed monetary systems or Currency board-like frameworks, 3) Interest-free approach to the banking system, 4) Bank-free approach to the banking industry, and finally 5) Public money or monetary guidance approach to the monetary system. Additionally, we identify a collection of ideas as hybrids or combinations, some of which are in their developmental stage and are receiving significant attention and support. Our review of these approaches summarizes their theoretical foundations, historical and current advocates, and relevant policy recommendations.Keywords. Monetary economics, Unconventional theories, Middle Eastern schools.JEL. F21, F68, O53, K23

    Technoeconomic analysis and life cycle assessment of the sorption-enhanced chemical looping gasification of waste bagasse biomass to produce hydrogen and transportation fuels

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    This is an author's accepted manuscript of an article published by Elsevier on 05/03/2026, available online: https://doi.org/10.1016/j.renene.2026.125486 The accepted manuscript may differ from the final published version.Sorption-enhanced chemical looping gasification (SECLG) offers an effective solution for in-situ carbon capture, reduced nitrogen dilution, and low tar concentration in the syngas, thereby significantly reducing economic costs in biomass gasification. In this work, we evaluate the techno-economic performance and life-cycle environmental impacts of SECLG to produce hydrogen and petroleum from waste bagasse biomass. Here, ilmenite-supported nickel oxide and calcium oxide are used to facilitate lattice oxygen transfer and CO2-capture. The results indicate competitive capital investments of US22.8millionandUS22.8 million and US58.3 million for the hydrogen and petroleum plants, respectively. It is worth noting that levelized costs of hydrogen and petroleum, at US1.08/kgandUS1.08/kg and US0.56/L, were essential in delivering these estimates. According to a sensitivity analysis, the oxygen carrier and sorbent have a less significant impact on overall profitability of the plants. Regarding the LCA, sulfur and CO2, amounting to 0.009 kg and 91 kg, respectively, were identified as major concerns while associated human health outcomes and non-renewable energy consumption impacts per unit of hydrogen and petroleum produced remained low. These findings highlight the tremendous potential of SECLG to offer a robust, low-carbon, and economically viable route for waste bagasse valorization into hydrogen and liquid fuels.The authors would like to acknowledge the funding from the Global Excellence and Stature (GES) 4.0 scholarship of the University of Johannesburg. The corresponding author also wishes to thank the National Research Foundation of South Africa and the University of Wolverhampton for the FSE Visiting Research Scholar Grant (2023–2024) and for supporting this collaboration.Accepted versio
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