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    AI-Enhanced MPPT Control for Grid-Connected Photovoltaic Systems Using ANFIS-PSO Optimization

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    Article number : 2649This paper presents an adaptive Maximum Power Point Tracking (MPPT) strategy for grid-connected photovoltaic (PV) systems that uses an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Particle Swarm Optimization (PSO) to enhance energy extraction efficiency under diverse environmental conditions. The proposed ANFIS-PSO-based MPPT controller performs dynamic adjustment Pulse Width Modulation (PWM) switching to minimize Total Harmonic Distortion (THD); this will ensure rapid convergence to the maximum power point (MPP). Unlike conventional Perturb and Observe (P&O) and Incremental Conductance (INC) methods, which struggle with tracking delays and local maxima in partial shading scenarios, the proposed approach efficiently identifies the Global Maximum Power Point (GMPP), improving energy harvesting capabilities. Simulation results in MATLAB/Simulink R2023a demonstrate that under stable irradiance conditions (1000 W/m2, 25 °C), the controller was able to achieve an MPPT efficiency of 99.2%, with THD reduced to 2.1%, ensuring grid compliance with IEEE 519 standards. In dynamic irradiance conditions, where sunlight varies linearly between 200 W/m2 and 1000 W/m2, the controller maintains an MPPT efficiency of 98.7%, with a response time of less than 200 ms, outperforming traditional MPPT algorithms. In the partial shading case, the proposed method effectively avoids local power maxima and successfully tracks the Global Maximum Power Point (GMPP), resulting in a power output of 138 W. In contrast, conventional techniques such as P&O and INC typically fail to escape local maxima under similar conditions, leading to significantly lower power output, often falling well below the true GMPP. This performance disparity underscores the superior tracking capability of the proposed ANFIS-PSO approach in complex irradiance scenarios, where traditional algorithms exhibit substantial energy loss due to their limited global search behavior. The novelty of this work lies in the integration of ANFIS with PSO optimization, enabling an intelligent self-adaptive MPPT strategy that enhances both tracking speed and accuracy while maintaining low computational complexity. This hybrid approach ensures real-time adaptation to environmental fluctuations, making it an optimal solution for grid-connected PV systems requiring high power quality and stability. The proposed controller significantly improves energy harvesting efficiency, minimizes grid disturbances, and enhances overall system robustness, demonstrating its potential for next-generation smart PV systems

    Protocol for an umbrella review of systematic reviews evaluating the efficacy of digital health solutions in supporting adult cancer survivorship care

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    Introduction The growing number of people living with, through and beyond cancer poses a new challenge for sustainable survivorship care solutions. Digital health solutions which incorporate various information and communication technologies are reshaping healthcare; offering huge potential to facilitate health promotion, support healthcare efficiencies, improve access to healthcare and positively impact health outcomes. Digital health solutions include websites and mobile applications, health information technologies, telehealth solutions, wearable devices, AI-supported chatbots and other technologically assisted provision of health information, communication and services. The breadth and scope of digital health solutions necessitate a synthesis of evidence on their use in supportive care in cancer. This umbrella review will identify, synthesise, and compare systematic reviews which have evaluated the efficacy or effectiveness of digital solutions for adult cancer survivorship care with a particular focus on surveillance and management of physical effects, psychosocial effects, new cancer/ recurring cancers and supporting health promotion and disease prevention. Methods and analysis An umbrella review of published systematic reviews will be undertaken to explore the types of digital health solutions used, their efficacy or effectiveness as a form of supportive care, and the barriers and enablers associated with their implementation. The umbrella review will be reported according to the Preferred Reporting Items for Overviews of Reviews (PRIOR) checklist. A search will be conducted across key databases. Records will be assessed independently by two review authors for eligibility against predefined criteria and will undergo two stage title, abstract and full text screening. All systematic reviews that meet the inclusion criteria will be assessed for quality using the AMSTAR 2 checklist with quality assessment and data extraction by two reviewers. The degree of publication overlap of primary studies across the included reviews will also be calculated and a mapping of the evidence will also be presented

    Flotation and sedimentation

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    Flotation and sedimentation are the main operations used in the food industry for washing, cleaning, classification, clarification, and thickening purposes. This chapter will cover different flotation (natural, dissolved air, froth, electrolytic, colloidal gas aphrons) and sedimentation (solid-liquid, and liquid-liquid separation; including thermal- or microwave-assisted, ultrasound-assisted or chemical demulsification) processes that can be used in various applications, such as water or crude oil treatment. It will be explained how the principle in each flotation or sedimentation type is changing. The chapter will also give an insight into the design requirements and operating principles of the equipment used for these basic operations

    Fractal Geometry in Hospital Design: Enhancing Healing Environments Using Fractal Fluency

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    Article number : 060034 Volume editors : Nile Al-Seedi B.K., Rasheed Alqarawee L.Sh., Shaban A.M. Conference name : 7th International Conference on Engineering Sciences, ICES 2023 Conference code : 208811This research explores the impact of fractal geometry on hospital design, with a focus on "fractal fluency." Fractals, defined as intricate self-replicating patterns, which are commonly found in both nature and art, have fascinated mathematicians, scientists, architects, and psychologists for generations. This study thus investigates how these fractal patterns, particularly those of moderate complexity, can influence human perceptions, well-being, and cognition, using a multidisciplinary approach that combines mathematics, neuroscience, and architecture to examine the integration of fractal fluency principles in hospital design. Through a detailed analysis of architectural elements such as the material, space, light, form, and perspective in hospitals including Jacobs Medical Center and Friendship Hospital, the study assesses the implementation of design principles based on such patterns and assesses their impact on the healing environment. The results show that the design of Friendship Hospital is in good alignment with fractal fluency principles, with all architectural elements falling within the specified range, suggesting the use of a deliberate design approach that can potentially create a visually engaging and stress-reducing environment. In contrast, Jacobs Medical Center does not align with fractal fluency principles, thus failing to realize the potential benefits of mid-range fractals as used in design. The impact on occupants of these varying approaches appears to be significant: Friendship Hospital's alignment with fractal fluency principles appears to contribute to enhanced comfort, positive psychological effects, and a sense of positive energy, while Jacobs Medical Center, while not necessarily having a negative environment, displays none of the advantages of intentional fractal fluency in design. This research thus emphasizes the importance of fractal fluency in hospital design based on its potential to create healing environments that promote physical and emotional well-being. Incorporating mid-range fractals can enhance patient experiences, reduce stress levels, and contribute to the development of positive energy in healthcare spaces. By combining mathematics, neuroscience, and architecture, this study also opens the way to the development of more innovative approaches in healthcare design that prioritize the language of fractals

    A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues

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    Product recovery is critical in reducing costs, enhancing profitability, and improving supply chain responsiveness to customer demands. Remanufacturing returned products, as part of the circular economy, is a central strategy in achieving these goals. This study presents a model that optimizes the remanufacturing process using in-house workstations and outsourcing to maximize supply chain profitability, reduce queue lengths, and ensure machine reliability. The remanufacturing system is modeled as an M/M/m/k queuing system, considering real-world supply chain constraints such as budget limitations, station capacity, and machine reliability. Supply chain optimization is achieved by maintaining efficiency while examining different remanufacturing policies and pricing strategies. The results show that expanding remanufacturing capacity enhances supply chain profitability, even with moderate increases in queue length. We provide valuable insights for supply chain managers aiming to optimize their remanufacturing processes and balance cost, efficiency, and reliability

    Evaluatıng the Role of Overactıve Bladder Dıagnosıs ın Predıctıng the Rısk of Postspınal Hypotensıon Durıng Electıve Cesarean Sectıon Operatıons: Randomızed Trıple-Blınded Study

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    Background: It is important to predict hypotension following spinal anesthesia (SA) during cesarean section (C/S), in terms of preventing the adverse affects. Aim: The aim of this study is to evaluate diagnosing overactive bladder via the overactive bladder (OAB)-V8 questionnaire that could be a prediction method for postspinal hypotension during elective cesarean section under combined spinal-epidural anesthesia. Materials and Methods: This study was carried out on 143 primipara women in the third trimester planned for elective cesarean section under combined spinal-epidural anesthesia. Each primipara parturient in her third trimester was seen by a urology specialist for diagnosis before surgery, where she was directed to the OAB-V8 questionnaire in Turkish. Patients diagnosed with overactive bladder were recorded under Group I, and the others under Group II. Results: 39,9% of patients had hypotension. Hypotension occurrence was statistically higher in Group I than in Group II (47% vs 30%). According to the diagnostic test results for using overactive bladder diagnosis in the prediction of hypotension, the sensitivity was 68%, the specificity was 49%, positive predictive values were 47%, and negative predictive values were 70%. Conclusion: The risk of postspinal hypotension in parturients with overactive bladder is higher. Higher caution must be taken for hypotension after SA intervention in patients with over active bladder

    Implant Osseointegration Adjacent to a Retained Root Fragment: A Case With 11-Year Follow-up

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    Article number : 5547549Introduction: There is a growing demand for implant dentistry as the first choice of rehabilitation for treating patients with missing teeth. Clinicians can encounter asymptomatic retained root fragments in edentulous spaces. This case report presents the long-term prognosis of an implant resulting in late failure, with an attached root remnant to the fixture 11 years after implant placement. Case Report: A 68-year-old female patient presented to the clinic with complaints of function related to a maxillary right four-unit implant-supported bridge 11 years after the first insertion of the implants. After the removal of the restoration, a root remnant was found as adhered to the fixture of the middle supporting implant. The implant was placed encroaching upon the mesial part of the residual root fragment left unintentionally, which was discovered accidentally during the bridge removal. Conclusion: Clinicians should show ultimate attention when utilizing the retained root remnants in implant sites, considering the potential risk of hindering osseointegration. However, osseointegration of the encroached implant and root fragment is plausible, with no detrimental short-term impacts observed. A risk–benefit evaluation should be assessed individually, as late failures can still occur. Trial Registration: ClinicalTrials.gov identifier: NCT06671678

    Association between clinical findings and 3T MRI features in temporomandibular joint disorders

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    Article number : 921Background: Temporomandibular joint disorders (TMD) commonly cause restricted mouth opening and pain, significantly affecting patients’ quality of life. This study aims to explore the relationship between common clinical symptoms—clicking and limited mouth opening—and MRI findings in patients diagnosed with TMD. Methods: A total of 46 patients, with either clicking sounds or limited mouth opening, were examined using a 3T MRI scanner. The study evaluated disc position, disc deformity, and signs of osteoarthrosis, comparing MRI findings with clinical symptoms. Results: Results revealed that disc deformation was positively correlated with clicking. In contrast, limited mouth opening was significantly associated with anterior disc displacement without reduction and osteoarthrosis, indicating joint degeneration. Conclusions: The findings highlight that limited mouth opening is a more reliable clinical indicator of TMD than joint clicking, which may not always reflect underlying disc displacement. Although clicking was observed in discs with and without displacement, limited mouth opening showed a strong correlation with degenerative changes in the temporomandibular joint. The study underscores the reliability of clinical symptoms of TMD, which play a crucial role in treatment planing. Clinical trial number: Not applicable.Funding agency : Akdeniz University Grant number : TDH-2018-315

    Chemotherapy-related cognitive impairment and kidney dysfunction

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    Cancer and kidney diseases (KD) intersect in many ways resulting in worse outcomes. Both conditions are correlated with cognitive impairment, which can be exacerbated in cancer patients by known effects of many antineoplastic drugs on cognition, leading to a phenomenon known as chemotherapy-related cognitive impairment (CRCI). This manifests as poor attention span, disturbed short-term memory, and general mental sluggishness. This literature review explores CRCI and investigates the potential impact of KD on this phenomenon. Additionally, we highlight the shared pathogenetic mechanisms (including neurotoxicity, neuroinflammation, oxidative stress, vascular disease, electrolyte, and acid-base imbalances), clinical presentation and imaging findings between cognitive impairment in KD and CRCI. The disruption of the blood-brain barrier might be a key mechanism for increased brain permeability to anticancer drugs in nephropathic patients with cancer. Based on existing knowledge, we found a potential for heightened neurotoxicity of antineoplastic drugs and a synergistic potentiation of cognitive impairment in cancer patients with KD. However, further translational research is urgently required to validate this hypothesis.Funding agency: European Cooperation in Science and Technology (COST) Grant number: CA1912

    Optimizing the primary stability of dental implants in type IV bone: in-vitro comparison of machine-driven and ratcheting insertion protocols

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    Purpose The objective of this study was to assess the effects of various implant insertion techniques on the primary stability of dental implants in both type II and type IV cadaveric bovine. Materials and Methods A total of 48 dental implants (BEGO Semados RSX, BEGO Implant Systems GmbH & Co. KG, Germany) with a diameter of 3.75 mm and a length of 12 mm were used in the experiments. Bovine bone ribs were adjusted to mimic type II and type IV bone characteristics. Following the preparation of recipient sites, implants were inserted using three different protocols: machine-driven insertion (Standard group, Std group), ratchet insertion (Ratcheted, R Group), and a combination of both (Std + R group). The Osstell® Beacon device was used to record the implant stability quotient (ISQ) of each implant immediately after insertion. Two-way analysis of variance and Bonferroni tests were used for statistical evaluation. Results Bone type significantly influenced the ISQ values (p<0.05). However, when comparing insertion protocols separately for type II and type IV bone, no significant differences were observed. In type IV bone, both the Std group and R group exhibited significantly lower ISQ values compared to the same groups in type II bone (p<0.05 for each). Nevertheless, there were no significant differences in the ISQ values when employing the Std+R technique between the two types of bone. Conclusion Combining machine-driven and ratchet insertion techniques may prove beneficial in optimizing ISQ values in bovine samples simulating type IV bone

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