Novel application of sinh cosh optimizer for robust controller design in hybrid photovoltaic-thermal power systems.

Load frequency control (LFC) is critical for maintaining stability in interconnected power systems, addressing frequency deviations and tie-line power fluctuations due to system disturbances. Existing methods often face challenges, including limited robustness, poor adaptability to dynamic conditions, and early convergence in optimization. This paper introduces a novel application of the sinh cosh optimizer (SCHO) to design proportional-integral (PI) controllers for a hybrid photovoltaic (PV) and thermal generator-based two-area power system.

Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm.

Steam condensers are vital components of thermal power plants, responsible for converting turbine exhaust steam back into water for reuse in the power generation cycle. Effective pressure regulation is crucial to ensure operational efficiency and equipment safety. However, conventional control strategies, such as PI, PI-PDn and FOPID controllers, often struggle to manage the nonlinearities and disturbances inherent in steam condenser systems.

Advanced control parameter optimization in DC motors and liquid level systems.

In recent times, there has been notable progress in control systems across various industrial domains, necessitating effective management of dynamic systems for optimal functionality. A crucial research focus has emerged in optimizing control parameters to augment controller performance. Among the plethora of optimization algorithms, the mountain gazelle optimizer (MGO) stands out for its capacity to emulate the agile movements and behavioral strategies observed in mountain gazelles.

Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization.

Electric furnaces play an important role in many industrial processes where precise temperature control is essential to ensure production efficiency and product quality. Traditional proportional-integral-derivative (PID) controllers and their modified versions are commonly used to maintain temperature stability by reacting quickly to deviations. In this study, the real PID plus second-order derivative (RPIDD) controller is introduced for the first time for industrial temperature control applications, which is a novel alternative that has not yet been investigated in the literature.

Multi-strategy improved runge kutta optimizer and its promise to estimate the model parameters of solar photovoltaic modules.

Harnessing the potential of solar photovoltaic (PV) technology relies heavily on accurately estimating the model parameters of PV cells/modules using real current-voltage (I-V) data. Achieving optimal parameter values is essential for the performance and efficiency of PV systems, necessitating the use of advanced optimization techniques. In our endeavor, we introduce a multi-strategy improvement approach for the Runge Kutta (RUN) optimizer, a cutting-edge tool used for tackling this critical task in both single-diode and double-diode PV unit models.

Adipocyte heterogeneity and tumor infiltration of adipose tissue in patients with metastatic breast cancer.

Background: The adipose tissue may serve as a source of energy supporting cancer growth and metastasis. Our understanding of the adipocytes which compose the adipose tissue in different anatomical locations of the body as well as potential microscopic tumor infiltration in patients with metastatic breast cancer remains limited. This study therefore investigates regional variations in adipocyte size and adipose tissue tumor infiltration in patients with metastatic breast cancer.

A novel artificial intelligence based multistage controller for load frequency control in power systems.

The imbalance between generated power and load demand often causes unwanted fluctuations in the frequency and tie-line power changes within a power system. To address this issue, a control process known as load frequency control (LFC) is essential. This study aims to optimize the parameters of the LFC controller for a two-area power system that includes a reheat thermal generator and a photovoltaic (PV) power plant.

Stromal Tumor-Infiltrating Lymphocytes in Hormone Receptor-Positive/HER2 Negative Metastatic Breast Cancer.

The immune landscape of hormone receptor-positive, human epidermal growth factor receptor 2-negative metastatic breast cancer (HR+/HER2- mBC), the most common subtype of BC, remains understudied. This is mainly because of reduced sample acquisition opportunities from metastases as compared with primary tumors. In this study, we explored stromal tumor-infiltrating lymphocytes (sTIL) in metastatic samples collected through our post-mortem tissue donation program UZ/KU Leuven Post-mortem Tissue Donation program to Enhance Research (NCT04531696).

Performance analysis of DC-DC Buck converter with innovative multi-stage PIDn(1+PD) controller using GEO algorithm.

Power electronic converters are widely used in various fields of electrical equipment. Due to their fast dynamics and non-linear nature, controlling them requires dealing with various complexities. Therefore, having a well-designed, high-speed, and robust controller is critical to ensure the effective operation of these devices.

The relationship between prodromal symptom levels and affective temperament features and emotional dysregulation in patients diagnosed with bipolar disorder and their first-degree relatives: A controlled study.

Background: The frequency of developing psychiatric symptoms is higher in the first-degree relatives of bipolar patients compared to the healthy population. This study aims to determine the possible diagnosis of bipolarity by revealing the bipolar prodromal features, temperament changes, and emotional disregulation in the first-degree relatives of bipolar patients and their interrelationships.

Methods: A total of 150 patients, including bipolar disorder patients, their first-degree relatives, and a healthy control group, aged 18-65 who met the study inclusion criteria, were included in the study.

Efficient DC motor speed control using a novel multi-stage FOPD(1 + PI) controller optimized by the Pelican optimization algorithm.

This paper introduces a novel multi-stage FOPD(1 + PI) controller for DC motor speed control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID controllers often fall short in handling the complex dynamics of DC motors, leading to suboptimal performance. Our proposed controller integrates fractional-order proportional-derivative (FOPD) and proportional-integral (PI) control actions, optimized via POA to achieve superior control performance.

Nonlinear FOPID controller design for pressure regulation of steam condenser via improved metaheuristic algorithm.

Shell and tube heat exchangers are pivotal for efficient heat transfer in various industrial processes. Effective control of these structures is essential for optimizing energy usage and ensuring industrial system reliability. In this regard, this study focuses on adopting a fractional-order proportional-integral-derivative (FOPID) controller for efficient control of shell and tube heat exchanger.

Performance evaluation of logarithmic spiral search and selective mechanism based arithmetic optimizer for parameter extraction of different photovoltaic cell models.

The imperative shift towards renewable energy sources, driven by environmental concerns and climate change, has cast a spotlight on solar energy as a clean, abundant, and cost-effective solution. To harness its potential, accurate modeling of photovoltaic (PV) systems is crucial. However, this relies on estimating elusive parameters concealed within PV models.

Nanomaterial-Mediated Delivery of MLKL Plasmids Sensitizes Tumors to Immunotherapy and Reduces Metastases.

Cancer immunotherapy has emerged as a promising approach for the induction of an antitumor response. While immunotherapy response rates are very high in some cancers, the efficacy against solid tumors remains limited caused by the presence of an immunosuppressive tumor microenvironment. Induction of immunogenic cell death (ICD) in the tumor can be used to boost immunotherapy response in solid cancers by eliciting the release of immune-stimulatory components.

Stigma, Perception of Social Support, and Functionality Levels of Schizophrenia Patients with and without Legal Guardianship.

Background: The aim of our study was to determine the levels of internalized stigma, perceived social support, and social functioning of schizophrenia patients who made a guardianship decision and to investigate the effects of these parameters on the guardianship decision.

Methods: A total of 160 patients, including 80 patients who were hospitalized in the psychiatric inpatient services of our hospital between December 1, 2021, and November 1, 2022, between the ages of 18 and 65, who were diagnosed with schizophrenia according to the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 diagnostic criteria (n = 80) and received guardianship and 80 patients (n = 80) who did not receive guardianship were included in the study. Sociodemographic data from the Internalized Stigma of Mental Illness Scale, Social Functioning Scale, and Multidimensional Scale of Perceived Social Support were administered to the study group.

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach.

Maintaining stable voltage levels is essential for power systems' efficiency and reliability. Voltage fluctuations during load changes can lead to equipment damage and costly disruptions. Automatic voltage regulators (AVRs) are traditionally used to address this issue, regulating generator terminal voltage.

Microinjection Technique: A Novel and Comprehensive Approach for Nose Reshaping with Hyaluronic Acid Fillers.

Introduction: Nose reshaping with hyaluronic acid (HA) fillers, also known as medical rhinoplasty, is an increasingly popular, minimally invasive aesthetic procedure. As the demand for nasal reshaping continues to rise, it is essential to develop safe and efficient injection techniques and assess satisfaction to ensure optimal outcomes and patient-centered care.

Objective: This study aims to evaluate patient and physician satisfaction with hyaluronic acid filler applications using microinjection technique for nasal reshaping.

Electrocardiographic Changes During and After Alcohol Withdrawal.

Background: Our study aimed to examine the possible risk of ventricular arrhythmia and sudden cardiac death by calculating the electrocardiographic changes and indicators of ventricular repolarization during and after alcohol withdrawal.

Methods: One hundred participants who were identified with alcohol withdrawal and who met the inclusion criteria were included in the study. Data were collected between July 2020 and August 2020.

Metastases of primary mixed no-special type and lobular breast cancer display an exclusive lobular histology.

Primary tumors with a mixed invasive breast carcinoma of no-special type (IBC-NST) and invasive lobular cancer (ILC) histology are present in approximately five percent of all patients with breast cancer and are understudied at the metastatic level. Here, we characterized the histology of metastases from two patients with primary mixed IBC-NST/ILC from the postmortem tissue donation program UPTIDER (NCT04531696). The 14 and 43 metastatic lesions collected at autopsy had morphological features and E-cadherin staining patterns consistent with pure ILC.

Internet addiction of university students in the Covid-19 process.

This study delves into the intricate dynamics of internet addiction among university students, leveraging a comprehensive quantitative approach to unravel the myriad factors influencing this modern-day malaise. Utilizing logistic regression analysis, this research delineates the predictive significance of Daily Internet Usage Time (DIUT) and Communicative Internet Use Frequency (CIUF) on the propensity for internet addiction, with the analysis substantiating these variables as potent predictors. The model elucidates a significant variance in internet addiction, affirming the complexity of internet addiction as influenced by a constellation of behavioral patterns.

Efficient parameter extraction of photovoltaic models with a novel enhanced prairie dog optimization algorithm.

The growing demand for solar energy conversion underscores the need for precise parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing accuracy in PV system parameter extraction, essential for optimizing PV models under diverse environmental conditions. Utilizing primary PV models (single diode, double diode, and three diode) and PV module models, the research emphasizes the importance of accurate parameter identification.