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Authors = Imran Ahmad

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25 pages, 2860 KiB  
Review
Multimodal Sensing-Enabled Large Language Models for Automated Emotional Regulation: A Review of Current Technologies, Opportunities, and Challenges
by Liangyue Yu, Yao Ge, Shuja Ansari, Muhammad Imran and Wasim Ahmad
Sensors 2025, 25(15), 4763; https://doi.org/10.3390/s25154763 - 1 Aug 2025
Viewed by 618
Abstract
Emotion regulation is essential for mental health. However, many people ignore their own emotional regulation or are deterred by the high cost of psychological counseling, which poses significant challenges to making effective support widely available. This review systematically examines the convergence of multimodal [...] Read more.
Emotion regulation is essential for mental health. However, many people ignore their own emotional regulation or are deterred by the high cost of psychological counseling, which poses significant challenges to making effective support widely available. This review systematically examines the convergence of multimodal sensing technologies and large language models (LLMs) for the development of Automated Emotional Regulation (AER) systems. The review draws upon a comprehensive analysis of the existing literature, encompassing research papers, technical reports, and relevant theoretical frameworks. Key findings indicate that multimodal sensing offers the potential for rich, contextualized data pertaining to emotional states, while LLMs provide improved capabilities for interpreting these inputs and generating nuanced, empathetic, and actionable regulatory responses. The integration of these technologies, including physiological sensors, behavioral tracking, and advanced LLM architectures, presents the improvement of application, moving AER beyond simpler, rule-based systems towards more adaptive, context-aware, and human-like interventions. Opportunities for personalized interventions, real-time support, and novel applications in mental healthcare and other domains are considerable. However, these prospects are counterbalanced by significant challenges and limitations. In summary, this review synthesizes current technological advancements, identifies substantial opportunities for innovation and application, and critically analyzes the multifaceted technical, ethical, and practical challenges inherent in this domain. It also concludes that while the integration of multimodal sensing and LLMs holds significant potential for AER, the field is nascent and requires concerted research efforts to realize its full capacity to enhance human well-being. Full article
(This article belongs to the Section Intelligent Sensors)
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27 pages, 8396 KiB  
Article
Biosynthesis of Zinc Oxide Nanostructures Using Leaf Extract of Azadirachta indica: Characterizations and In Silico and Nematicidal Potentials
by Gulrana Khuwaja, Anis Ahmad Chaudhary, Abadi M. Mashlawi, Abdullah Ali Alamri, Faris Alfifi, Kahkashan Anjum, Md Shamsher Alam, Mohammad Intakhab Alam, Syed Kashif Ali, Nadeem Raza, Mohamed A. M. Ali and Mohd Imran
Catalysts 2025, 15(7), 693; https://doi.org/10.3390/catal15070693 - 21 Jul 2025
Viewed by 486
Abstract
Biosynthesized ZnO nanostructures were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), ultraviolet–visible (UV-vis) spectroscopy, and Fourier transform–infrared (FT-IR) spectroscopy. XRD confirmed a hexagonal wurtzite phase with an average crystallite size of 36.44 nm, while UV-vis spectroscopy showed [...] Read more.
Biosynthesized ZnO nanostructures were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), ultraviolet–visible (UV-vis) spectroscopy, and Fourier transform–infrared (FT-IR) spectroscopy. XRD confirmed a hexagonal wurtzite phase with an average crystallite size of 36.44 nm, while UV-vis spectroscopy showed a distinct absorption peak at 321 nm. The Zeta potential of the ZnO nanostructures was −24.28 mV, indicating high stability in suspension, which is essential for their dispersion and functionality in biological and environmental applications. The nematicidal activity of ZnO was evaluated in vitro at concentrations of 150, 300, 450, and 600 ppm, with the highest concentration achieving 75.71% mortality of second-stage juveniles (J2s) after 72 h. The calculated LC50 values for the treatments were 270.33 ppm at 72 h. Additionally, molecular docking studies indicated significant interactions between the ZnO nanostructures and nematode proteins, HSP-90 and ODR1, supporting their potential nematicidal mechanism. This research highlights the effectiveness of neem leaf extract-mediated ZnO nanostructures as an eco-friendly, sustainable alternative for nematode control, presenting a promising solution for agricultural pest management. Full article
(This article belongs to the Special Issue (Bio)nanomaterials in Catalysis)
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12 pages, 4853 KiB  
Article
Clinical Utility of Duplex Ultrasonography in the Recognition of Transplant Renal Artery Stenosis: A Single Center Experience
by Ahmad Mirza, Usman Baig, Munazza Khan, Shameem Beigh and Imran Gani
Diagnostics 2025, 15(14), 1766; https://doi.org/10.3390/diagnostics15141766 - 13 Jul 2025
Viewed by 375
Abstract
Introduction: Renal artery stenosis can significantly impact long-term graft survival rates following kidney transplant. Early recognition and management can improve the longevity of the kidney allograft. We aimed to evaluate the clinical role of duplex ultrasound in the diagnosis of renal artery stenosis [...] Read more.
Introduction: Renal artery stenosis can significantly impact long-term graft survival rates following kidney transplant. Early recognition and management can improve the longevity of the kidney allograft. We aimed to evaluate the clinical role of duplex ultrasound in the diagnosis of renal artery stenosis (RAS). We also wanted to evaluate the current incidence of renal artery stenosis at our institute. Methods: A retrospective, consecutive series of 367 patients who underwent renal transplantation between 1 January 2020 and 30 December 2024 was conducted. We collected data regarding the recipients’ age, body mass index, and comorbidities. All patients diagnosed with renal artery stenosis were identified. The incidence of kidney transplant artery stenosis and presentation were recorded. All general physical parameters and laboratory data were collected and analyzed. Results: A total of 28 patients had initial suspicion of renal artery stenosis, documented via initial dedicated duplex ultrasound of the transplanted kidney. The initial mean systolic BP at initial US was 151 (99–213) mmHg, and mean creatinine was 2.43 (1.28–6.38) mg/dL. However, on repeat duplex ultrasound, three patients showed no features of renal artery stenosis and had no physical parameters consistent with RAS. A total of 25 patients diagnosed with RAS on initial duplex ultrasound underwent angiography. Twenty-four patients were confirmed with RAS on angiography, while one patient had a normal angiogram. Among patients diagnosed with TRAS, the mean resistive index was 0.71 ± 0.17 at the upper pole, 0.73 ± 0.19 at the mid pole, and 0.71 ± 0.21 at the lower pole. The mean peak systolic velocity was 462.57 ± 166.28 cm/s. Conclusions: Duplex ultrasound is an important initial tool for diagnosing transplant renal artery stenosis. An increase in peak systolic velocity was observed in our cohort; however, resistive indices were largely within acceptable limits. Management should be guided by clinical parameters (e.g., elevated systolic BP and rising creatinine) alongside imaging findings. Full article
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21 pages, 4087 KiB  
Article
Performance Evaluation of Low-Grade Clay Minerals in LC3-Based Cementitious Composites
by Nosheen Blouch, Syed Noman Hussain Kazmi, Nijah Akram, Muhammad Junaid Saleem, Imran Ahmad Khan, Kashif Javed, Sajjad Ahmad and Asfandyar Khan
Solids 2025, 6(3), 35; https://doi.org/10.3390/solids6030035 - 10 Jul 2025
Viewed by 368
Abstract
The cements industry is increasingly under pressure to reduce carbon emissions while maintaining performance standards. Limestone calcined clay cement (LC3) presents a promising low-carbon alternative; however, its performance depends significantly on the type and reactivity of clay used. This study investigates [...] Read more.
The cements industry is increasingly under pressure to reduce carbon emissions while maintaining performance standards. Limestone calcined clay cement (LC3) presents a promising low-carbon alternative; however, its performance depends significantly on the type and reactivity of clay used. This study investigates the effect of three common low-grade clay minerals—kaolinite, montmorillonite, and illite—on the behavior of LC3 blends. The clays were thermally activated and characterized using X-ray diffraction (XRD), thermogravimetric analysis (TGA), X-ray fluorescence spectroscopy (XRF), and Blaine air permeability testing to evaluate their mineralogical composition, thermal behavior, chemical content, and fineness. Pozzolanic reactivity was assessed using the modified Chapelle test. Microstructural development was examined through scanning electron microscopy (SEM) of the hydrated specimens at 28 days. The results confirmed a strong correlation between clay reactivity and hydration performance. Kaolinite showed the highest reactivity and fineness, contributing to a dense microstructure with reduced portlandite and enhanced formation of calcium silicate hydrate. Montmorillonite demonstrated comparable strength and favorable hydration characteristics, while illite, though less reactive initially, showed acceptable long-term behavior. Although kaolinite delivered the best overall performance, its limited availability and higher cost suggest that montmorillonite and illite represent viable and cost-effective alternatives, particularly in regions where kaolinite is scarce. This study highlights the suitability of regionally available, low-grade clays for use in LC3 systems, supporting sustainable and economically viable cement production. Full article
(This article belongs to the Topic Novel Cementitious Materials)
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10 pages, 225 KiB  
Article
Interventional Radiology Management of Renal Artery Stenosis After Kidney Transplant: Single-Center Experience and Management Strategies
by Ahmad Mirza, Munazza Khan, Usman Baig, Shameem Beigh and Imran Gani
Diagnostics 2025, 15(13), 1592; https://doi.org/10.3390/diagnostics15131592 - 23 Jun 2025
Viewed by 517
Abstract
Background/Objectives: The course of treatment for renal artery stenosis following renal transplantation depends on the severity of the condition. Mild cases are typically managed medically, while more significant stenosis with flow limitation and graft dysfunction requires percutaneous intervention. Surgical treatment is generally reserved [...] Read more.
Background/Objectives: The course of treatment for renal artery stenosis following renal transplantation depends on the severity of the condition. Mild cases are typically managed medically, while more significant stenosis with flow limitation and graft dysfunction requires percutaneous intervention. Surgical treatment is generally reserved as a last resort. This study aimed to evaluate the outcomes of interventional radiology in managing renal artery stenosis at our transplant center. Methods: The electronic medical records of patients who underwent renal transplantation at our center between January 2020 and December 2024 were reviewed to identify cases of renal artery stenosis and their subsequent management through interventional radiology. Sociodemographic and clinical data were collected for both recipients and donors. Data analysis was performed using SPSS version 26. Results: Out of the total 368 patients who received renal allograft at our center from January 2020 to December 2024, 25 patients were confirmed with duplex ultrasound to have renal artery stenosis. The majority of affected patients were African American, had Class I Obesity and presented with cardiovascular co-morbidities. The mean time from transplant to the diagnosis of RAS was 4.25 (SD ± 3.81) months. The mean serum creatinine level at presentation was 2.54 (SD ± 1.21 mg/dL). All 25 patients underwent digital subtraction angiography, and 24 patients were confirmed to have renal artery stenosis requiring further intervention. The creatinine levels at one week, three months and one year post-intervention were 2.12 (SD ± 1.00), 1.83 (SD ± 0.63) and 2.15 (SD ± 1.68) mg/dL, respectively. Conclusions: Percutaneous interventional treatment for renal artery stenosis is associated with improvements in hemodynamic parameters and the stabilization of allograft function. Follow-up is needed to monitor for the potential occurrence of restenosis. Full article
(This article belongs to the Special Issue Future Trends in Diagnostic and Interventional Radiology)
24 pages, 434 KiB  
Article
Three-Step Iterative Methodology for the Solution of Extended Ordered XOR-Inclusion Problems Incorporating Generalized Cayley–Yosida Operators
by Doaa Filali, Imran Ali, Montaser Saudi Ali, Nidal H. E. Eljaneid, Esmail Alshaban and Faizan Ahmad Khan
Mathematics 2025, 13(12), 1969; https://doi.org/10.3390/math13121969 - 14 Jun 2025
Viewed by 305
Abstract
The system of extended ordered XOR-inclusion problems (in short, SEOXORIP) involving generalized Cayley and Yosida operators is introduced and studied in this paper. The solution is obtained in a real ordered Banach space using a fixed-point approach. First, we develop the fixed-point lemma [...] Read more.
The system of extended ordered XOR-inclusion problems (in short, SEOXORIP) involving generalized Cayley and Yosida operators is introduced and studied in this paper. The solution is obtained in a real ordered Banach space using a fixed-point approach. First, we develop the fixed-point lemma for the solution of SEOXORIP. By using the fixed-point lemma, we develop a three-step iterative scheme for obtaining the approximate solution of SEOXORIP. Under the Lipschitz continuous assumptions of the cost mappings, the strong convergence of the scheme is demonstrated. Lastly, we provide a numerical example with a convergence graph generated using MATLAB 2018a to verify the convergence of the sequence generated by the proposed scheme. Full article
(This article belongs to the Special Issue Advances in Mathematical Analysis and Inequalities)
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18 pages, 2813 KiB  
Article
Trends in Liver Cirrhosis and Diabetes-Related Mortality Among Adults in the United States: A CDC WONDER Database Analysis (1999–2020)
by Manahil Irfan, Rameesha Ahmad, Mariam Arshad Ahmed, Ayan Mohammed Khan, Zoya Aamir, Rayaan Imran and Raheel Ahmed
Life 2025, 15(6), 852; https://doi.org/10.3390/life15060852 - 25 May 2025
Viewed by 1378
Abstract
Background: The burden of liver cirrhosis correlated with diabetes mellitus (DM) poses a significant public health challenge in the United States. Both conditions independently contribute to high morbidity and mortality rates. While extensive individual analyses have been conducted, US trends in comorbid liver [...] Read more.
Background: The burden of liver cirrhosis correlated with diabetes mellitus (DM) poses a significant public health challenge in the United States. Both conditions independently contribute to high morbidity and mortality rates. While extensive individual analyses have been conducted, US trends in comorbid liver cirrhosis-DM-related mortality remain unexplored. This study seeks to investigate mortality trends associated with the simultaneous occurrence of liver cirrhosis and DM among U.S. adults over the period from 1999 to 2020. Methods: We conducted a descriptive analysis using publicly available mortality data from the CDC Wide-Ranging Online Data for Epidemiologic Research (WONDER) database. Age-adjusted mortality rates (AAMRs) per 100,000 individuals were calculated using the 2000 U.S. standard population. Trends were stratified by year, age, sex, race/ethnicity, urbanization, region, and state. Joinpoint regression analysis was employed to determine annual percentage changes (APCs) and assess statistical significance (p < 0.05). Results: A total of 90,418 deaths were recorded among adults with both cirrhosis and DM between 1999 and 2020. The overall AAMR increased from 1.02/100,000 in 1999 to 1.78/100,000 in 2020, reflecting a significant upward trend in mortality. The highest mortality rates were observed in non-metropolitan regions, in the South, and among males, older adults (65+), and NH American Indian or Alaska Native and Hispanic populations. All demographic groups exhibited a pronounced mortality surge between 2018 and 2020. A state-level analysis revealed notable disparities, with Oklahoma and Texas presenting the highest AAMRs. Conclusions: Liver cirrhosis and diabetes-related mortality have been steadily increasing over the past two decades, with notable disparities in demographics and regions. These findings underscore the urgent necessity for targeted prevention, early intervention, and policy-level strategies specifically designed for high-risk populations to reduce future mortality rates in the US and ultimately, globally. Full article
(This article belongs to the Section Epidemiology)
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20 pages, 1850 KiB  
Article
Biosynthesis of Fe3O4 Nanoparticles Using Egg Albumin: Antifungal, Dielectric Analysis and Photocatalytic Activity
by Azam Raza, Sally Mostafa Khadrawy, Irfan Ahmad, Mohd Imran, Gulrana Khuwaja, Humaira Parveen, Sayeed Mukhtar, Bhagyashree R. Patil, Ahmed A. Allam, Hassan A. Rudayni, Syed Kashif Ali and Absar Ahmad
Catalysts 2025, 15(6), 505; https://doi.org/10.3390/catal15060505 - 22 May 2025
Viewed by 624
Abstract
The use of chemical pesticides has led to adverse effects on human health and the environment, prompting the exploration of alternative solutions. This study successfully biosynthesized iron oxide nanoparticles (Fe3O4 NPs) using chicken egg albumin, which served as reducing and [...] Read more.
The use of chemical pesticides has led to adverse effects on human health and the environment, prompting the exploration of alternative solutions. This study successfully biosynthesized iron oxide nanoparticles (Fe3O4 NPs) using chicken egg albumin, which served as reducing and capping agents, and evaluated their antifungal efficacy against Macrophomina phaseolina. The fungicidal potential of Fe3O4 NPs was assessed in vitro, demonstrating enhanced inhibition of M. phaseolina’s radial growth with increasing concentrations from 100 ppm to 300 ppm. Dielectric properties were also studied, revealing advantageous current conduction processes and conductive network development with temperature variation, which is particularly beneficial in the low-frequency range. At a fixed pH, dielectric studies showed increased mobile carrier movement and polarization with rising temperature at a fixed frequency. The photocatalytic activity of Fe3O4 NPs was assessed for the degradation of methylene blue (MB), an organic dye, under solar irradiation. In this study, Fe3O4 NPs photocatalysts achieved 89% (MB) degradation within 75 min. This research underscores the potential of using chicken egg albumin for the biosynthesis of Fe3O4 NPs. It offers a promising alternative for plant disease control and highlights their suitability for integration into eco-friendly plant protection strategies. Full article
(This article belongs to the Special Issue Catalytic Materials for Hazardous Wastewater Treatment)
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12 pages, 724 KiB  
Article
Allogeneic Hematopoietic Cell Transplant for B-Cell Lymphomas in the Era of Novel Cellular Therapies: Experience from a Tertiary Canadian Center
by Mathias Castonguay, Jean Roy, Jean-Sébastien Claveau, Sylvie Lachance, Jean-Sébastien Delisle, Thomas Kiss, Sandra Cohen, Isabelle Fleury, Luigina Mollica, Imran Ahmad, Nadia Bambace, Léa Bernard, Denis-Claude Roy, Guy Sauvageau and Olivier Veilleux
Curr. Oncol. 2025, 32(5), 285; https://doi.org/10.3390/curroncol32050285 - 20 May 2025
Viewed by 658
Abstract
Background: Allogeneic hematopoietic cell transplant (alloHCT) is a curative option for relapsed/refractory B-cell lymphomas (BCLs), but its role in the evolving field of cellular therapy is increasingly unclear as recent advances in transplant procedures have improved outcomes. Methods: This retrospective, single-center study included [...] Read more.
Background: Allogeneic hematopoietic cell transplant (alloHCT) is a curative option for relapsed/refractory B-cell lymphomas (BCLs), but its role in the evolving field of cellular therapy is increasingly unclear as recent advances in transplant procedures have improved outcomes. Methods: This retrospective, single-center study included 55 BCL patients (large B-cell lymphoma—LBCL; indolent BCL; and mantle cell lymphoma—MCL) treated with alloHCT from 2015 to 2023 at Hôpital Maisonneuve-Rosemont. Primary endpoints were overall survival (OS) and progression-free survival (PFS); secondary endpoints included NRM and GVHD incidence. Results: A total of 55 patients were included (25 LBCLs, 16 indolent BCLs, 14 MCLs), and 76% of LBCLs were of indolent origin (Richter transformation, transformed follicular lymphoma). After a median follow-up of 6.1, 5.8 and 2.4 years for LBCLs, indolent BCLs and MCLs, their 5-year PFS and OS were 57.2% (IC 95%: 34.2–74.7) and 62.8% (IC 95%: 37.9–80.0), 81.2% (IC 95%: 52.5–93.5) and 93.8% (IC 95%: 63.2–99.1), and 39.0% (IC 95%: 14.3–63.3) and 68.1% (IC 95%: 35.4–86.8), respectively. The 5-year NRM was 16.9% (IC 95%: 8.2–28.3) with a relapse incidence of 23.4%. Overall/grade 3–4 acute GVHD occurred in 43.6% and 18.1% of patients. At 3 years, overall/moderate or severe chronic GVHD incidence was 49% and 34.5%. Conclusions: AlloHCT remains a potentially curative option and should be considered for fit patients with chemosensitive FL or LBCLs of indolent origin and a low comorbidity index. Full article
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19 pages, 4116 KiB  
Article
Climatic Conditions in the Central Part of the Kashmir Valley During the Pleistocene–Holocene Transition: Insights from Lithostratigraphy, Geochemical Analyses, and Radiocarbon Chronology of Palaeosol Sequences
by Rayees Ahmad Shah, Shakil Ahmad Romshoo, Imran Khan and Pankaj Kumar
Atmosphere 2025, 16(5), 564; https://doi.org/10.3390/atmos16050564 - 8 May 2025
Viewed by 554
Abstract
The Kashmir Valley, characterized by its rich loess–palaeosol sequences (LPSs), provides a unique geo-archive for reconstructing Late Quaternary climate dynamics. This study presents an extensive multi-proxy study, integrating high-resolution lithostratigraphy, geochemical analyses, stable isotope analysis of soil organic matter (δ13C-VPDB), and [...] Read more.
The Kashmir Valley, characterized by its rich loess–palaeosol sequences (LPSs), provides a unique geo-archive for reconstructing Late Quaternary climate dynamics. This study presents an extensive multi-proxy study, integrating high-resolution lithostratigraphy, geochemical analyses, stable isotope analysis of soil organic matter (δ13C-VPDB), and radiocarbon (14C) chronology of a sediment sequence approximately 200 cm thick, to unravel the complex interplay of climatic, pedogenic and environmental processes shaping the region spanning the Pleistocene–Holocene transition. The results establish a precise chronology of the sediment sequence between 13.4 ka and 7.2 ka, covering the transition from the Pleistocene to the Holocene Epoch. The results reveal distinct climatic and environmental conditions during this Epoch. The study reveals substantial loess deposition during the cold and dry glacial climate towards the end of the Pleistocene, followed by a shift to a warmer and wetter interglacial climate at the onset of the Holocene Epoch. This climatic shift led to the development of soil units with pronounced fluvial characteristics around 10 ka, eventually transitioning to fluvial deposition. Geochemical indices such as Ca/Ti, Al/Ti, Si/Ti, and K/Ti indicate low weathering intensity prior to 11 ka, followed by a noticeable increase around 11 ka, possibly driven by enhanced precipitation. δ13C values, ranging from −26.2‰ to −22.5‰, suggest C3-dominated vegetation during the Late Pleistocene, indicating wetter climatic conditions. This study provides valuable insights into the intricate interactions between climate, soil development, and vegetation dynamics during the critical Late Pleistocene–Holocene transition in the Kashmir Valley. Full article
(This article belongs to the Special Issue Paleoclimate Changes and Dust Cycle Recorded by Eolian Sediments)
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7 pages, 498 KiB  
Case Report
Interplay of Belatacept Immunosuppression and Maribavir Antiviral Activity in Recurrent CMV Viremia: Clinical Implications and Literature Review
by Imran Gani, Ahmad Mirza and Usman Baig
Viruses 2025, 17(5), 595; https://doi.org/10.3390/v17050595 - 23 Apr 2025
Cited by 1 | Viewed by 618
Abstract
Belatacept is a recombinant fusion protein used in renal transplant recipients, particularly when side effects from standard immunosuppressants occur. It offers a superior renal safety profile and is associated with better long-term renal graft outcomes. However, belatacept has been linked to atypical presentations [...] Read more.
Belatacept is a recombinant fusion protein used in renal transplant recipients, particularly when side effects from standard immunosuppressants occur. It offers a superior renal safety profile and is associated with better long-term renal graft outcomes. However, belatacept has been linked to atypical presentations of cytomegalovirus (CMV) infections, characterized by a prolonged and unpredictable course of viremia. We report a case involving a middle-aged African American female who developed acute kidney injury while on tacrolimus and was subsequently switched to belatacept. During treatment with belatacept, she experienced persistent and erratic CMV viremia lasting 58 weeks. The viremia showed an incomplete response to first-line antiviral therapy with valganciclovir, and the use of the novel antiviral agent maribavir also failed to achieve long-lasting viremic clearance. The resolution of the viremia was ultimately achieved only after discontinuing belatacept while continuing maribavir therapy. This case and literature review underscores the need for clinicians to remain vigilant for atypical CMV infections in renal transplant recipients treated with belatacept. If the complete clearance of viremia cannot be achieved despite the use of different antiviral agents, consideration should be given to modifying immunosuppressive therapy. Full article
(This article belongs to the Special Issue Immune Modulation by Human Cytomegalovirus)
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22 pages, 2510 KiB  
Article
Roles of Polymerization Temperature and Initiator Type on Thermal Properties of Rubitherm® 21 PCM Microcapsules
by Refat Al-Shannaq, Monzer Daoud, Mohammed Farid, Md Wasi Ahmad, Shaheen A. Al-Muhtaseb, Mazhar Ul-Islam, Abdullah Al Saidi and Imran Zahid
Micro 2025, 5(2), 19; https://doi.org/10.3390/micro5020019 - 12 Apr 2025
Viewed by 1433
Abstract
Thermal energy storage offers a viable solution for managing intermediate energy availability challenges. Phase change materials (PCMs) have been extensively studied for their capacity to store thermal energy when available and release it when needed, maintaining a narrow temperature range. However, effective utilization [...] Read more.
Thermal energy storage offers a viable solution for managing intermediate energy availability challenges. Phase change materials (PCMs) have been extensively studied for their capacity to store thermal energy when available and release it when needed, maintaining a narrow temperature range. However, effective utilization of PCMs requires its proper encapsulation in most applications. In this study, microcapsules containing Rubitherm®(RT) 21 PCM (Tpeak = 21 °C, ΔH = 140 kJ/kg), which is suitable for buildings, were synthesized using a suspension polymerization technique at different operating temperatures (45–75 °C). Two different water-insoluble thermal initiators were evaluated: 2,2-Azobis (2,4-dimethyl valeronitrile) (Azo-65) and benzoyl peroxide (BPO). The prepared microcapsules were characterized using differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), particle size distribution (PSD), scanning electron microscope (SEM), and optical microscopy (OM). Additionally, the microcapsules were subjected to multiple melting and freezing cycles to assess their thermal reliability and performance stability. DSC results revealed that the microcapsules using BPO exhibited a latent heat of melting comparable to those produced with Azo-65 at an operating temperature of 75 °C. However, the onset crystallization temperature for the BPO-encapsulated PCMs was approximately 2 °C lower than that of the Azo-65-encapsulated PCMs. The greatest latent heat of melting, 107.76 J/g, was exhibited by microcapsules produced at 45 °C, representing a PCM content of 82 wt. %. On the other hand, microcapsules synthesized at 55 °C and 75 °C showed latent heats of 96.02 J/g and 95.66 J/g, respectively. The degree of supercooling for PCM microcapsules was reduced by decreasing the polymerization temperature, with the lowest supercooling observed for microcapsules synthesized at 45 °C. All microcapsules exhibited a monodisperse and narrow PSD of ~10 µm, indicating uniformity in microcapsule size and demonstrating that temperature variations had no significant impact on the particle size distribution. Future research should focus on low-temperature polymerization with extended polymerization times. Full article
(This article belongs to the Section Microscale Materials Science)
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40 pages, 12138 KiB  
Article
Non-Similar Analysis of Boundary Layer Flow and Heat Transfer in Non-Newtonian Hybrid Nanofluid over a Cylinder with Viscous Dissipation Effects
by Ahmed Zeeshan, Majeed Ahmad Yousif, Muhammad Imran Khan, Muhammad Amer Latif, Syed Shahzad Ali and Pshtiwan Othman Mohammed
Energies 2025, 18(7), 1660; https://doi.org/10.3390/en18071660 - 26 Mar 2025
Cited by 2 | Viewed by 786
Abstract
Highlighting the importance of artificial intelligence and machine learning approaches in engineering and fluid mechanics problems, especially in heat transfer applications is main goal of the presented article. With the advancement in Artificial Intelligence (AI) and Machine Learning (ML) techniques, the computational efficiency [...] Read more.
Highlighting the importance of artificial intelligence and machine learning approaches in engineering and fluid mechanics problems, especially in heat transfer applications is main goal of the presented article. With the advancement in Artificial Intelligence (AI) and Machine Learning (ML) techniques, the computational efficiency and accuracy of numerical results are enhanced. The theme of the study is to use machine learning techniques to examine the thermal analysis of MHD boundary layer flow of Eyring-Powell Hybrid Nanofluid (EPHNFs) passing a horizontal cylinder embedded in a porous medium with heat source/sink and viscous dissipation effects. The considered base fluid is water (H2O) and hybrid nanoparticles titanium oxide (TiO2) and Copper oxide (CuO). The governing flow equations are nonlinear PDEs. Non-similar system of PDEs are obtained with efficient conversion variables. The dimensionless PDEs are truncated using a local non-similarity approach up to third level and numerical solution is evaluated using MATLAB built-in-function bvp4c. Artificial Neural Networks (ANNs) simulation approach is used to trained the networks to predict the solution behavior. Thermal boundary layer improves with the enhancement in the value of Rd. The accuracy and reliability of ANNs predicted solution is addressed with computation of correlation index and residual analysis. The RMSE is evaluated [0.04892, 0.0007597, 0.0007596, 0.01546, 0.008871, 0.01686] for various scenarios. It is observed that when concentration of hybrid nanoparticles increases then thermal characteristics of the Eyring-Powell Hybrid Nanofluid (EPHNFs) passing a horizontal cylinder. Full article
(This article belongs to the Section J1: Heat and Mass Transfer)
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21 pages, 12333 KiB  
Article
Geospatial Robust Wheat Yield Prediction Using Machine Learning and Integrated Crop Growth Model and Time-Series Satellite Data
by Rana Ahmad Faraz Ishaq, Guanhua Zhou, Guifei Jing, Syed Roshaan Ali Shah, Aamir Ali, Muhammad Imran, Hongzhi Jiang and Obaid-ur-Rehman
Remote Sens. 2025, 17(7), 1140; https://doi.org/10.3390/rs17071140 - 23 Mar 2025
Cited by 4 | Viewed by 2076
Abstract
Accurate crop yield modeling (CYM) is inherently challenging due to the complex, nonlinear, and temporally dynamic interactions of biotic and abiotic factors. Crop traits, which historically capture the cumulative effect of these factors, exhibit functional relationships critical for optimizing productivity. This underscores the [...] Read more.
Accurate crop yield modeling (CYM) is inherently challenging due to the complex, nonlinear, and temporally dynamic interactions of biotic and abiotic factors. Crop traits, which historically capture the cumulative effect of these factors, exhibit functional relationships critical for optimizing productivity. This underscores the necessity of multi-trait-based CYM approaches. Crop growth models enable trait dynamics with reflectance data and spectral indices as proxies for crop health and traits, respectively, to have real-time, spatially explicit monitoring. The Agricultural Production Systems sIMulator was calibrated to simulate multiple traits across the growth season based on geo-tagged wheat field ground information. Reflectance and spectral indices were processed for the geo-tagged fields across temporal observations to enable real-time, spatially explicit monitoring. Based on these parameters, this study addresses a critical gap in existing CYM frameworks by proposing a machine learning-based model that synergized multiple crop traits with reflectance and spectral indices to generate site-specific yield estimates. The performance evaluation revealed that the Long Short-Term Memory (LSTM) model achieved superior accuracy for the integrated parameters (RMSE = 250.68 kg/ha, MAE = 193.76 kg/ha, and R2 = 0.84), followed by traits alone. The Random Forest model followed the LSTM model, with an RMSE = 293.56 kg/ha, MAE = 230.68 kg/ha, and R2 = 0.78 for integrated parameters, and an RMSE = 291.73 kg/ha, MAE = 223.17 kg/ha, and R2 = 0.78 for crop traits. The superior prediction demonstrated the dominant role of multiple crop traits with satellite-derived reflectance metrics to develop robust CYM frameworks capable of capturing intra- and inter-field yield variability. Full article
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13 pages, 709 KiB  
Article
Enhancing CAR-T Efficacy in Large B-Cell Lymphoma with Radiation Bridging Therapy: A Real-World Single-Center Experience
by Eva Laverdure, Luigina Mollica, Imran Ahmad, Sandra Cohen, Silvy Lachance, Olivier Veilleux, Maryse Bernard, Eve-Lyne Marchand, Jean-Sébastien Delisle, Lea Bernard, Mélissa Boileau, Tony Petrella, Sarah-Jeanne Pilon, Philippe Bouchard, Denis-Claude Roy, Lambert Busque and Isabelle Fleury
Curr. Oncol. 2025, 32(3), 173; https://doi.org/10.3390/curroncol32030173 - 17 Mar 2025
Cited by 1 | Viewed by 1776
Abstract
One challenge of chimeric antigen receptor T-cell therapy (CAR-T) for relapsed or refractory large B-cell lymphoma (LBCL) is achieving disease control during manufacturing. We report real-word outcomes of 100 patients treated with axicabtagene ciloleucel (axi-cel, n = 50) or tisagenlecleucel (tisa-cel, n = [...] Read more.
One challenge of chimeric antigen receptor T-cell therapy (CAR-T) for relapsed or refractory large B-cell lymphoma (LBCL) is achieving disease control during manufacturing. We report real-word outcomes of 100 patients treated with axicabtagene ciloleucel (axi-cel, n = 50) or tisagenlecleucel (tisa-cel, n = 50) at our center. Most patients received bridging therapy (BT) with 48 undergoing radiation BT (RBT) and 32 receiving systemic BT (SBT). The best overall response rate (ORR) was 84% (78% complete response (CR)) for axi-cel and 60% (42% CR) for tisa-cel. At a median follow-up of 16 months, 12-month progression-free survival (PFS) and overall survival (OS) were 72% and 82% for axi-cel, compared to 35% and 57% for tisa-cel. By the bridging approach, 12-month PFS was 60% with RBT, 59% without BT and 35% with SBT (p = 0.06). Notably, axi-cel patients without lymphoma progression during manufacturing (n = 24) achieved 12-month PFS and OS rates of 91% and 96%, respectively. Axi-cel was associated with more cytokine release syndrome (92% vs. 66%, p = 0.003) and neurotoxicity (all-grade 56% vs. 10%, p < 0.001, grade ≥ 328% vs. 4%, p = 0.002). Multivariate analysis identified RBT as independently associated with improved PFS (HR 0.46, 95% CI 0.22–0.96). Pending prospective validation, RBT shows promise for improving CAR-T outcomes in LBCL. Full article
(This article belongs to the Section Cell Therapy)
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