MAQOLA, Scopus, Collaboration, Co-Authors📚

100% Scopus-indexed IEEE conference Accepted paper ============================================ Title H1: Brain Tumor Detection with Advanced Approach Using CNN Algorithm Author 2: 115 USD Author 4: 95 USD ============================================= Title H2: A Novel Hybrid AI-Based Model for Prediction of Lung Cancer in Its Early Stages Using Medical and Behavioral Data Author 2: 115 USD Author 3: 105 USD ========================================= Title H3: Deep Feature Extraction and SVM-Based Classification for Pulmonary Cancer Detection Using Computed Tomography Images Author 2: 115 USD Author 3: 105 USD Author 4: 95 USD

100% Scopus-indexed IEEE conference Accepted paper ======================================= Title 1: Cross-Cultural Textile Recognition: A Hybrid CNN Approach for Japanese and Sri Lankan Fabric Classification Author 2: 115 USD Author 3: 105 USD Author 4: 95 USD Author 5: 85 USD ======================================= Title 2: Multi-Label Deep Learning Framework for Efficient PPE Compliance Monitoring Using Vision-Based Analysis Author 2: 115 USD Author 3: 105 USD Author 4: 95 USD Author 5: 85 USD ======================================= Title 3: Attention-Enhanced EfficientNet with Regularized Fine-Tuning for Multi-Class Food Image Classification Author 2: 115 USD Author 3: 105 USD Author 4: 95 USD Author 5: 85 USD ======================================= Title 4: A Hybrid ConvNeXt-Attention Framework for Robust Marine Debris Classification Using Multi-Source Underwater Imagery Author 1: 135 USD Author 2: 115 USD Author 3: 105 USD Author 4: 95 USD Author 5: 85 USD ======================================= Title 9: Automated Kidney Stone Detection in Ultrasound Images Using an Efficient Machine Learning Framework Author 2: 115 USD Author 3: 105 USD Author 6: 85 USD

#Psychiatry #Mental_Health #Clinical_Neuroscience #Clinical_Neurophysiology #EEG #Neuropsychiatry Co-authors' participation Full paper is available Available Positions: ♦️ 1st author: Available ♦️ 2nd author: Booked ♦️ 3rd author: Available ♦️ 4th author: Available ♦️ 5th author: Available Title: Temporal dynamics of EEG microstates as predictors of clinical transition to psychosis in ultra-high-risk individuals Abstract Objective: This study aimed to evaluate the potential of temporal parameters in electroencephalographic (EEG) microstates to serve as early biomarkers for the transition to psychosis in individuals at ultra-high risk (UHR). We specifically investigated whether alterations in the dynamics of canonical microstate classes could predict clinical outcomes over a 12-month period. Method: Resting-state EEG was recorded from 48 UHR individuals and 48 age- and gender-matched healthy controls. Participants were followed longitudinally for 12 months to monitor clinical status. Microstate analysis was performed using a k-means clustering algorithm to identify the four canonical classes (A, B, C, and D). Temporal parameters, including mean duration, occurrence per second, and total time coverage, were extracted for each class. Cox regression and logistic regression analyses were conducted to identify predictors of transition, controlling for potential confounders such as baseline symptom severity and antipsychotic medication. ....................... Keywords: EEG microstates, Ultra-high risk, Psychosis transition, Biomarkers, Temporal dynamics, Prediction. Scopus Q2; SJR Q2 WoS ESCI Acceptance in about 2-3 months

Co-Authors Participation Research Paper Revised Paper 🟦2nd author: 500 USD Changed Title: Microstructural Evolution and Functional Performance of Al–Cu–Ag Shape Memory Laminates Processed by Sequential Roll Bonding and Thermal Conditioning Abstract: In this work, multilayer Al–Cu–Ag shape memory laminates were engineered through repeated roll bonding cycles followed by controlled thermal exposure. Aluminum sheets, copper layers, and dispersed silver additions were combined to create graded metallic stacks containing 11 wt.% Al and varying Ag contents of 1, 2.5, and 5 wt.%. After consolidation, the laminates underwent annealing within 800–1100°C for one hour and were subsequently quenched to stabilize transformation pathways. Microstructural assessment revealed extensive grain refinement and elevated defect density across all compositions. Thermal activation promoted the formation of distinct intermetallic compounds, with low silver alloys favoring Cu rich phases, while higher Ag levels supported the emergence of orthorhombic martensitic structures. The presence of martensite significantly improved strength and hardness at ambient temperature. Maximum transformation activity occurred near 900–1000°C, where the alloys demonstrated pronounced shape recovery and stable functional response. Key words: Shape Memory Laminates, Roll Bonding Consolidation, Intermetallic Formation, Martensitic Stability, Ag Modified Alloys ---------------------------------------------------------------------------------------------------- Journal Name: Surface Review and Letters Web Site: https://www.worldscientific.com/worldscinet/srl SJR Q3: https://www.scimagojr.com/journalsearch.php?q=18374&tip=sid&clean=0 WOS: https://mjl.clarivate.com://search-results?issn=0218-625X&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal Impact Factor: 1.1

Co-Authors Participation 🧫4th author: 500 USD Title: Decoding the Breast Cancer Tumor Microenvironment: Cellular Crosstalk, Immune Evasion, and Opportunities for Combination Immunotherapy Abstract: The tumor microenvironment is now recognized as a central determinant of breast cancer progression, metastatic spread, and therapeutic resistance. Beyond malignant epithelial cells, the breast cancer niche contains immune cells, cancer-associated fibroblasts, endothelial cells, extracellular matrix components, and soluble mediators that interact dynamically to shape tumor behavior. This review summarizes current knowledge of the cellular and molecular architecture of the breast cancer microenvironment, with special emphasis on immune suppression, stromal remodeling, and metastatic niche formation. We explore how tumor-associated macrophages, regulatory T cells, exhausted cytotoxic lymphocytes, and fibroblast-derived signals promote immune escape and impair response to therapy. The review also highlights recent advances in single-cell and spatial profiling technologies that have refined our understanding of spatial heterogeneity and intercellular communication within the tumor ecosystem. In parallel, we examine therapeutic strategies designed to reprogram the microenvironment, including immune checkpoint blockade, antibody-drug conjugates, stromal targeting, cytokine-based approaches, and rational combination regimens. Although immunotherapy has shown meaningful activity in selected breast cancer subtypes, especially triple-negative disease, durable responses remain limited in many patients. Understanding the microenvironmental barriers to immunity may therefore be essential for improving patient selection, biomarker development, and combination treatment design. Keywords: Breast cancer, Tumor microenvironment, Immunotherapy, Immune evasion, Single-cell analysis, Spatial transcriptomics, Cancer-associated fibroblasts, Triple-negative breast cancer --------------------------------------------------------------------------------------------------- Journal Name: Journal of Breast Cancer Web Site: https://ejbc.kr/ Link SJR Q2: https://www.scimagojr.com/journalsearch.php?q=19400157274&tip=sid&clean=0 Link WOS: https://mjl.clarivate.com://search-results?issn=1738-6756&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal Impact Factor: 3.6 It will be sent in same journal level in case of rejection( Same Q in Scimago, Tolerance Impact:1)

#LithiumSulfurBatteries #PolysulfideShuttle #polymer #ChemicalEnginering #ElectrochemicalEnergyStorage Co-authors' participation Full paper is available Available Positions: ♦️ 1st author: Available ♦️ 2nd author: Available ♦️ 3rd author: Available ♦️ 4th author: Available ♦️ 5th author: Available ♦️ 6th author: Available ♦️ 7th author: Available ♦️ 8th author: Available Changed title: A self-regenerating, Ca²⁺-functionalized ion-selective separator for spatially confined polysulfide conversion in practical lean-electrolyte Li–S batteries Abstract The shuttle effect caused by the dissolution and migration of lithium polysulfides remains one of the major barriers to the practical application of lithium–sulfur batteries, particularly under high sulfur loading and lean-electrolyte conditions. In this work, a spatially confined and self-regenerating polysulfide-regulation strategy is proposed using a Ca²⁺-functionalized ion-selective separator. The separator consists of a thin, cathode-facing polymeric layer containing immobilized Lewis-acidic Ca²⁺ sites and a controlled conductive network. The fixed Ca²⁺ centers are designed to chemically interact with soluble lithium polysulfides, suppress their diffusion toward the lithium-metal anode, and promote their reversible conversion into electrochemically active sulfur species. Unlike conventional passive adsorption layers, the proposed system aims to regenerate the active Ca²⁺ sites during battery charging, thereby reducing adsorption-site saturation and the accumulation of inactive sulfur species...................... Keywords: Lithium–sulfur batteries; polysulfide shuttle effect; ion-selective separator; calcium-ion functionalization; Lewis-acid interaction; lean electrolyte; lithium-metal protection; ================================================== Journal name: Journal of Electroanalytical Chemistry Journal link: https://www.sciencedirect.com/journal/journal-of-electroanalytical-chemistry Scopus Q1: https://www.scopus.com/sourceid/9500154039 WoS (SCIE): https://mjl.clarivate.com/mjl//search-results?issn=1572-6657 SJR Q2: https://www.scimagojr.com/journalsearch.php?q=9500154039&tip=sid&clean=0 Impact Factor: 4.6 It will be sent in same journal level in case of rejection( Same Q in Scimago, Tolerance Impact:1)*

Co-Author participation Research main issue Full paper available JCR Impact Factor: 9.2 Best Quartile: Q1 💧2nd author: 800 USD 💧3rd author: 750 USD 💧4th author: 700 USD 💧5th author: 650 USD 💧5th author: 600 USD Changed Title Techno-Economic Assessment and Optimization of Multi-Generation Plants for Hydrogen and Freshwater Production   Abstract Integrating energy, water, and hydrogen systems enhances sustainability and resource independence for isolated regions. This research proposes an optimization framework for a hybrid polygeneration hub on Hengsha Island, China. The facility integrates solar, wind, and biogas-powered CHP with PEM electrolyzers, fuel cells, desalination, and diverse storage units. The hierarchical control strategy enables optimization of renewable energy utilization and waste heat utilization. In order to strike a balance between cost, reliability, green energy utilization, emissions and employment, the present analysis utilizes a surrogate-based NSGA-II algorithm in combination with CRITIC-VIKOR methodology for decision making. The optimal configuration results in the generation of power at 0.155 $/kWh and fresh water at 1.32/m³ with a green energy contribution of 85%. Additionally, there is a high correlation (0.95) between the use of renewables and employment opportunities. Through Monte Carlo simulation and sensitivity analysis, the viability of the configuration economically was validated, where the interest rates and PV investment cost emerged as critical parameters. Journal Name: International Journal of Hydrogen Energy   Web Site: https://www.sciencedirect.com/journal/international-journal-of-hydrogen-energy   Link SJR Q1: https://www.scimagojr.com/journalsearch.php?q=26991&tip=sid&clean=0 Link WOS: https://mjl.clarivate.com://search-results?issn=0360-3199&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal

Co-Authors Participation Full Paper is available Research Paper 🟪3rd author: 400 USD Changed Title: Charged Plasmoid Diagnostics of Magnetized Horizonless Mimickers  Abstract: We present a high-energy framework for ultracompact black hole mimickers with an internal dipole magnetosphere, keeping the exterior Schwarzschild-like. Observable deviations stem from charged plasmoid dynamics, not metric deformations. We derive circular orbit branches, stability domains, epicyclic timing channels, and off-equatorial confinement conditions. Magnetic coupling shifts QPO resonance regions, separates vertical and azimuthal timing, and yields a nodal signal even without rotation. Consistency scans of X-ray binaries show timing solutions must be filtered by mass, dynamical stability, and trapping. -------------------------------------------------------------------------------------------------------- Journal Name: European Physical Journal C (EPJ C) Web Site:  https://link.springer.com/journal/10052  Link SJR Q1:  https://www.scimagojr.com/journalsearch.php?q=27545&tip=sid&clean=0  Link WOS: https://mjl.clarivate.com://search-results?issn=1434-6044&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal  Impact Factor: 4.8 It will be sent in same journal level in case of rejection( Same Q in Scimago, Tolerance Impact:1)*

Co-Authors Participation Research Paper Full Paper is available 📌1st author: 1500 USD 📌2nd author: 1450 USD 📌3rd author; 1400 USD 📌4th author: 1350 USD 📌5th author: 1300 USD 📌Changed Title: Combination of Artificial Intelligence and Machine Learning Algorithms for Biomass Combustion Optimization Using MLP Neural Networks and Multi-Objective Genetic Algorithm Abstract: The performance of biomass combustion processes is strongly governed by complex interactions among operational and material parameters, including air-mass flux (AMF), binder ratio (BR), and particle size (PS). Conventional optimization approaches, relying on trial-and-error experimentation or detailed simulations, are often resource-intensive and struggle to capture nonlinear couplings among multiple performance indicators. To overcome these limitations, this study proposes a hybrid artificial intelligence framework that integrates GA/CapSA-based multilayer perceptron neural networks (MLPNNs), multi-objective optimization, and multi-criteria decision-making for predictive modeling and process optimization. The MLPNNs are trained to map the relationships between input variables (AMF, BR, PS) and combustion performance metrics: average flame propagation speed (AFPS), average burning rate (ABR), ignition time (IT), reaction zone thickness (RZT), and peak flame temperature (PFT). The structure and learning configuration of the neural networks are optimized using genetic algorithm and Capuchin Search Algorithm (CapSA) to enhance predictive accuracy. Subsequently, a non-dominated sorting genetic algorithm III (NSGA-III) is applied for multi-objective optimization, while the Weighted Aggregated Sum Product Assessment (WASPAS) method facilitates multi-criteria decision-making to select optimal operating conditions. The proposed hybrid framework efficiently captures nonlinear relationships, identifies trade-offs among combustion performance metrics, and provides a systematic pathway for designing and optimizing biomass combustion processes with reduced computational cost. --------------------------------------------------------------------------------------------------------- Journal Name: Combustion and Flame Web Site: https://www.sciencedirect.com/journal/combustion-and-flame Link SJR Q1: https://www.scimagojr.com/journalsearch.php?q=28623&tip=sid&clean=0 Link WOS: https://mjl.clarivate.com://search-results?issn=0010-2180&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal Impact Factor: 5.9 It will be sent in same journal level in case of rejection( Same Q in Scimago, Tolerance Impact:1)

Co_authors participation 💊2nd author: Final price 600 usd+corresponding author Second title: Immune escape and combinational therapy in hepatocellular carcinoma   Abstract Hepatocellular carcinoma (HCC) usually arises in liver tissue already altered by chronic inflammation, fibrosis, cirrhosis, vascular remodeling and immune tolerance. This diseased-organ context is essential for interpreting immune escape, therapeutic resistance and the clinical limits of systemic therapy. This critical review synthesizes mechanistic, translational and clinical evidence linking HCC tumor microenvironment (TME) biology to combination-therapy rationale. It first treats the chronically injured liver as a pre-tumor immune niche shaped by etiology, stromal remodeling, hepatic reserve and spatial heterogeneity. It then follows suppressive myeloid states, exhausted T cells, stromal exclusion, impaired innate surveillance and spatial immune niches, while separating better-supported vascular, hypoxic, TGF-β, WNT/β-catenin, adenosine and chemokine circuits from less mature microbiome-linked findings. These mechanisms help explain why resistance may reflect defective priming, impaired trafficking, metabolic restraint, myeloid dominance, stromal exclusion or loss of hepatic reserve rather than checkpoint failure alone. Current combinations, including ICI–anti-VEGF therapy, dual checkpoint blockade, TKI–ICI strategies and locoregional–systemic approaches, are therefore best interpreted by the TME mechanism they attempt to reverse. TME-guided HCC therapy is not yet a validated precision system, but it can sharpen biomarker development, spatial sampling, trial design and resistance interpretation. Keywords: Hepatocellular carcinoma, Immune escape, Therapeutic resistance, Tumor microenvironment, Combination therapy   Journal information:   Targeted Oncology   Link: https://link.springer.com/journal/11523     SJR link: Q1, https://www.scimagojr.com/journalsearch.php?q=4700152489&tip=sid&clean=0   WOS link: https://mjl.clarivate.com://search-results?issn=1776-2596&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal   Impact factor: 5.1

#Psychiatry #Mental_Health #Clinical_Neuroscience #Clinical_Neurophysiology #EEG #Neuropsychiatry Co-authors' participation Full paper is available Available Positions: ♦️ 1st author: Available ♦️ 2nd author: Available ♦️ 3rd author: Available ♦️ 4th author: Available ♦️ 5th author: Available Title: Temporal dynamics of EEG microstates as predictors of clinical transition to psychosis in ultra-high-risk individuals Abstract Objective: This study aimed to evaluate the potential of temporal parameters in electroencephalographic (EEG) microstates to serve as early biomarkers for the transition to psychosis in individuals at ultra-high risk (UHR). We specifically investigated whether alterations in the dynamics of canonical microstate classes could predict clinical outcomes over a 12-month period. Method: Resting-state EEG was recorded from 48 UHR individuals and 48 age- and gender-matched healthy controls. Participants were followed longitudinally for 12 months to monitor clinical status. Microstate analysis was performed using a k-means clustering algorithm to identify the four canonical classes (A, B, C, and D). Temporal parameters, including mean duration, occurrence per second, and total time coverage, were extracted for each class. Cox regression and logistic regression analyses were conducted to identify predictors of transition, controlling for potential confounders such as baseline symptom severity and antipsychotic medication. ....................... Keywords: EEG microstates, Ultra-high risk, Psychosis transition, Biomarkers, Temporal dynamics, Prediction. Scopus Q2; SJR Q2 WoS ESCI Acceptance in about 2-3 months

Co-Authors Participation Full Paper is available Research Paper 🟪3rd author👉Final Price: 450 USD Changed Title: Charged Plasmoid Diagnostics of Magnetized Horizonless Mimickers  Abstract: We present a high-energy framework for ultracompact black hole mimickers with an internal dipole magnetosphere, keeping the exterior Schwarzschild-like. Observable deviations stem from charged plasmoid dynamics, not metric deformations. We derive circular orbit branches, stability domains, epicyclic timing channels, and off-equatorial confinement conditions. Magnetic coupling shifts QPO resonance regions, separates vertical and azimuthal timing, and yields a nodal signal even without rotation. Consistency scans of X-ray binaries show timing solutions must be filtered by mass, dynamical stability, and trapping. ----------------------------------------------------------------------------------------------------  Journal Name: European Physical Journal C (EPJ C) Web Site:  https://link.springer.com/journal/10052  Link SJR Q1:  https://www.scimagojr.com/journalsearch.php?q=27545&tip=sid&clean=0  Link WOS: https://mjl.clarivate.com://search-results?issn=1434-6044&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal  Impact Factor: 4.8 It will be sent in same journal level in case of rejection( Same Q in Scimago, Tolerance Impact:1)*

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Қисқа_муддат_ичида_СУПЕР_имконият ♨️ ЎзР ВМ 1030-сон (24.12.2019) қарорида ўзгаришсиз қолган бандлардан бири ♨️ илмий, илмий-оммабоп журналлар (маҳаллий, халқаро) таҳрир ҳайъати аъзолиги бўйича банд ўзгаришсиз қолди. ♨️ маҳаллий журналларда таҳрир ҳайъати аъзоси бўлсангиз 15 фоизгача ♨️ хорижий журналларда таҳрир ҳайъати аъзоси бўлсангиз 30 фоизгача қўшича ойликка даъво қилишингиз мумкин ♨️ Сиз ҳам ушбу имкониятдан фойдаланинг 🗒 Керакли ҳужжатлар: 1. Паспорт нусхаси 2. Муаллифнинг маълумотномаси (объективка) 3. Илмий ишлар рўйхати. 4. PhD ёки DSc диплом нусхаси 5. 3×4 Расм ❇️ Муаллифларга 2-3 йиллик аъзолик тўғрисида сертификат берилади ❇️ Ишончли, ОАК базаларида индексланадиган журналлар таклиф қилинади 📨 Murojaat uchun: @scientific_assist. 👈 ❇️ Bizning kanalimiz http://t.me/scientific_publication

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