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This paper applies Bayesian inference with normal-normal conjugate to forecast renewable energy generation. The generation forecasts a probability distribution rather than a quantitative value. An assumed normal distribution is initialized for renewable energy generation. This assumed normal distribution's parameters, the mean μ, and the standard deviation σ, are inferred by Bayesian inference afterward. However, applying Bayesian inference barely shall encounter an intractable integral. To circumvent the intractable integral, this paper considers the normal-normal conjugate method. This method fixes the assumed normal distribution's σ and characterizes μ as another normal distribution and then infers the latter normal distribution parameters. A case study of waste-to-energy generation forecast in Taiwan is investigated in this paper. It has been found from the investigation that the Bayesian inferred probability distribution outperforms the assumed one. [ABSTRACT FROM AUTHOR]

A personal narrative is presented which explores the author's experience of mentoring many medical researchers.

This paper accentuates the study of LLC resonant converter by a comparative analysis of the properties of LLC resonant and pulse width modulation direct current-direct current converters. Lately, LLC resonant converters have become more appealing and desirable in many applications than other pulse width modulation converters (e.g., Buck, Boost, Cuk) for their soft-switching techniques like zero voltage switching, zero current switching as well as low electromagnetic interference. This paper presents an analysis of efficiency variation, output voltage's ripple, and various transient performances like percentage overshoot, and the settling time with the variation of load current in a comparative way between LLC resonant converter's buck, boost operation, and conventional pulse width modulation converter's buck, boost operation. Feedback prop ortio nal-i ntegr al-d eriva tive duty cycle controller is used in all converter topologies for some specific analysis. A fixed input voltage of 100 V is selected for simulation and an output voltage of 24 V for buck operation and 120 V for boost operation are chosen. For simulation purposes, MATLAB/SIMULINK software is used. [ABSTRACT FROM AUTHOR]

Objective: Scientific progress can be directly measured by the growth of the scientific archive. To our knowledge, there has never been a systematic evaluation of the number and properties of the publications of rheumatologists. In this paper, we aimed to evaluate the properties of these papers. Material and Methods: All papers that were published between 2000 and 2011 by at least one rheumatologist author and that were indexed in Science Citation Index Expanded were evaluated. For this purpose, we used the ISI web of knowledge web of science software. Results: Original articles were the most common document type. Most of the papers were published in rheumatology journals. From the point of the number of published papers, the top 3 countries were United States, England, and Germany; the top 3 journals were Annals of Rheumatic Diseases, Rheumatology, and Arthritis and Rheumatism, and the top 3 institutes are Harvard University, Leiden University, and The Imperial College of Science, Technology. Moreover, the publications of rheumatologists increased annually between 2000 and 2011. Conclusion: This paper is an overview of the publications of rheumatologists between 2000 and 2011.The results indicate an increasing trend of scientific productivity for rheumatologists. The outcomes about countries, institutions, and journals are in concordance with the general medical publication trends. More than half of the publications written by rheumatologist were published by rheumatology journals. We consider only quantitative data about publications; new research is required to qualitatively evaluate the data. [ABSTRACT FROM AUTHOR]

Reconfiguration of the power distribution system allows for minimal real power losses and compliance with the required bus voltage limits of the power system. This paper proposes the network reconfiguration of the IEEE 33-bus radial distribution system using heuristic optimization algorithms. This problem-solving approach has the advantage of identifying the optimal system configuration solution by evaluating all possible solutions to the problem. The least power losses, voltage deviation, and compliance with the required bus voltage limits of the power system determine the optimal solution. To solve this problem, three types of heuristic optimization algorithms are used: Particle Swarm Optimization (PSO), Multi-Verse Optimization (MVO), and Grey Wolf Optimization (GWO). Using heuristic optimization algorithms to solve the reconfiguration problem, the active power losses of the power distribution system decreased by 46%. The optimal results obtained using the GWO algorithm are compiled in less time than other algorithms. [ABSTRACT FROM AUTHOR]

Control of robots to ensure safe operation has been a current research topic ever since the manipulators were utilized in industrial applications. Humans and robots work together collaboratively more often these days. Providing a safer operation has become an issue that requires more attention. In this paper, the application of a control algorithm that combines a proportional plus derivative controller with an overshoot avoidance trajectory tracking mechanism is introduced. The operation of the algorithm is illustrated on a two-link planar manipulator. The performance is shown both by means of graphs of end effector trajectories and mean absolute error metric. The results indicate that depending on the gain of the proportional plus derivative controller, desired trajectories can be followed very closely and the error becomes negligibly small. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Business Administration & Social Studies is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Business Administration & Social Studies is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Dental caries, a multifactorial chronic disease, affects a majority of the world's population and is regarded as the foremost global burden on oral health. Fluorides, while effective in reducing cavities on smooth enamel and cementum surfaces, are less effective in protecting occlusal pits and fissures, where the majority of cavities occur. Pits and fissures are highly susceptible to cavities due to their complex surface morphology, which promotes plaque retention. If they have a narrow and deep morphology, they are almost impossible to clean. Consequently, the prevalence of occlusal caries lesions on permanent posterior teeth exceeds that of caries on smooth surfaces. Systematic reviews and meta-analyses have determined that pit and fissure sealants, which form a physical barrier between the tooth surface and oral environment, are the most effective treatment option for preventing pit and fissure caries. In this review paper, the general characteristics of pit and fissure sealants, as well as their classification, materials used as sealants and current application techniques are evaluated. [ABSTRACT FROM AUTHOR]

This paper explores the complex interactions that exist between national ancillary service markets and local flexibility in Türkiye's changing power landscape. The significance of grid flexibility is escalating, especially with the country's transition from a predictable energy generation model to one predominantly fueled by intermittent renewable sources, coupled with the imminent integration of nuclear power. Ancillary services, encompassing functions such as frequency control, voltage regulation, and system restart, play a pivotal role in upholding grid stability. The study particularly underscores the significance of frequencyrelated ancillary services in preserving grid equilibrium. Moreover, it emphasizes how important electricity distribution businesses are as major players in improving grid stability. These businesses can actively participate in ancillary service markets and support grid stability by utilizing local flexibility solutions like distributed generation, energy storage, and demand response. This benefits the grid as well as consumers. The central objective of the study is to explore the synergies between local flexibility solutions and national ancillary markets. A case study is employed to evaluate the potential benefits and profitability associated with the integration of these components for an electrical distribution company. A combination solution utilizing solar panels, battery storage systems, electric vehicle charging infrastructure, and a natural gas turbine within the gearbox company's network is the subject of a case study that is presented. The concept of local flexibility and its mutually beneficial relationship with the national auxiliary service markets are also clarified in the study. The findings demonstrate the potential profitability and advantages of battery storage for the national energy grid. A substantial increase in prices for Frequency Restoration Reserve is imperative to render the natural gas turbine economically sustainable. [ABSTRACT FROM AUTHOR]

This paper investigates outage management in electricity distribution networks through the application of artificial intelligence techniques. The core of the system utilizes a diverse dataset compiled from outage management system records, weather forecasts, and geographical data to predict potential electricity outages. The data is rigorously analyzed to determine correlations between various weather conditions and outage occurrences, with particular emphasis on the impact of wind speed and storm conditions. The predictive model, a cornerstone of this research, employs a hybrid artificial intelligence algorithm that integrates outputs from convolutional neural networks, recursive neural networks, and extreme gradient boosting. The predictions are further refined using a feedforward neural network and distributed to specific districts based on historical data trends. Comparative analysis against a naive model based on historical averages highlights the superior performance of the hybrid model, showcasing its reduced error rates and enhanced predictive accuracy. This decision support system not only provides reliable outage predictions but also facilitates more effective management strategies, thus improving operational efficiencies and customer service in electricity distribution. The findings underscore the potential of advanced analytics in transforming utility management and pave the way for further innovations in smart grid technology and outage prevention strategies. [ABSTRACT FROM AUTHOR]

Estimating the state of charge (SOC) of a battery in the lithium-ion batteries used in hybrid vehicles is of high significance to ensure safe operation and to prevent overmuch charging and discharging. Despite the great importance of the parameter SOC, this parameter cannot be directly measured from the battery terminals. Thus, there is the need to estimate it. So far, various methods for estimating the SOC of lithium-ion batteries have been introduced. In this paper, by using the estimator of recursive least squares, firstly, the battery parameters are estimated and calculated and also the modified particle filter has been used for estimating the SOC of the battery. The standard particle filter has the problem of particle degeneracy phenomenon that decreases the estimation accuracy. Thus, in modified filter based PSO, the difference evolutionary algorithm (DEA) and Markov chain Monte Carlo (MCMC) applied to the standard PF that causes the estimation of SOC more accurate and consistent. To obtain an accurate and reliable method for estimating SOC, the desired battery must be modeled that in this paper, the first order resistor capacitor (RC) model has been used to have the high accuracy and low calculation complexity. This model is able to model the dynamic behavior of battery and for this reason it is suitable for hybrid vehicles application. To evaluate the performance of the proposed method, this method is compared with other methods that results represent the effective performance of the proposed method compared to other methods. [ABSTRACT FROM AUTHOR]

Objective: Identifying complications related to enteral nutrition at home in children is important in terms of establishing standard discharge education and training programs to support parents in managing complications. The study aimed to synthesize current evidence on the complications of pediatric enteral nutrition at home. Methods: The study was conducted according to PRISMA recommendations. Eight databases were reviewed between 2012 and 2022 in Turkish, German, and English languages. Articles were assessed in three stages: title, abstract, and full text. The review included 18 studies that met all the inclusion criteria. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instruments were used to assess the quality appraisal of the studies. Results: A total of 18 studies with 19,531 children were included from 14 countries. The outcome measures were major and minor complications with pediatric enteral nutrition at home. 11 of the 18 papers included were retrospective studies on complications of PEG. In studies reporting the overall rate of major complications ranged from 0% to 14.3%, and the most common complications were reoperation (2.64%-12.4%), and gastrocolic fistula/perforation (0.9%-3.8%). In studies reporting the overall rate of minor complications, the rate ranged from 16.4%-73.6% and the most common complications were infection (8.2%-31.9%), dislodgement (1.6%-21%), skin granulation (4%-50.4%), and vomiting (1%-49.89%). Conclusion: This systematic review reveals that the rate of complications in pediatric enteral nutrition at home cannot be underestimated. Healthcare providers should plan their practice considering these complications to support parents in managing complications of pediatric enteral nutrition at home. [ABSTRACT FROM AUTHOR]

Objective: Exenatide (twice daily) has been used as a glucagon-like peptide-1 receptor agonist in patients with diabetes with inadequate glycemic control for over a decade. In this paper, we aimed to investigate the long-term glycemic control and change in body weight in patients treated with exenatide. Methods: A total of 287 patients who were treated with exenatide twice daily between 2012 and 2022 were included in this retrospective study. The changes in glycated hemoglobin (HbA1c) levels and body weight were assessed over time after exenatide administration. The administered insulin dosage and metabolic parameters were documented. The baseline data were compared over a period of 3 months to 3 years. Results: The study included 101 (36%) males and 186 (64%) females, with an average age of 56.4 ± 10.7 years. The baseline HbA1c level was 8.0 ± 1.8%, and the body mass index was 38.8 ± 5.9 kg/m². The HbA1c level had decreased by 1.29% from the baseline at 3 months (P < .001), which continued up to 3 years (−0.63%, P = .010). During the 3-year period, body weight continued to decrease significantly (−12.1, P < .001). Glucose levels were significantly reduced, but the lipid levels and glomerular filtration rate after exenatide treatment were similar. Notably, exenatide administration resulted in a decrease in insulin dosage for patients treated with insulin. Conclusion: Exenatide therapy produced continued improvements in glycemic control and progressive weight loss for 3 years in patients with diabetes in a real-life setting. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Business Administration & Social Studies is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this era of rapidly advancing technology, artificial intelligence (AI) has emerged as a transformative force, even being called the Fourth Industrial Revolution, along with gene editing and robotics. While it has undoubtedly become an increasingly important part of our daily lives, it must be recognized that it is not an additional tool, but rather a complex concept that poses a variety of challenges. AI, with considerable potential, has found its place in both medical care and clinical research. Within the vast field of pediatrics, it stands out as a particularly promising advancement. As pediatricians, we are indeed witnessing the impactful integration of AI-based applications into our daily clinical practice and research efforts. These tools are being used for simple to more complex tasks such as diagnosing clinically challenging conditions, predicting disease outcomes, creating treatment plans, educating both patients and healthcare professionals, and generating accurate medical records or scientific papers. In conclusion, the multifaceted applications of AI in pediatrics will increase efficiency and improve the quality of healthcare and research. However, there are certain risks and threats accompanying this advancement including the biases that may contribute to health disparities and, inaccuracies. Therefore, it is crucial to recognize and address the technical, ethical, and legal challenges as well as explore the benefits in both clinical and research fields. [ABSTRACT FROM AUTHOR]

Conventional protection systems in distribution systems are capable of identifying low-impedance faults since such faults produce high fault current levels. But in a high impedance fault case protection schemes fail to detect a fault due to the fact that such faults do not generate enough fault current to operate conventional protection devices and fuses. This paper presents a novel algorithm for high impedance fault detection in medium voltage distribution systems. The proposed algorithm leverages multi-resolution analysis using discrete wavelet transform analysis for improved reliability and accuracy, extracting d5 coefficients at the transformer secondary terminal of all phases and the neutral, calculating their energies and integrating and calculating the average slope and comparing them to a threshold slope value in order to take the right decision for high impedance fault detection. The research explores the algorithm's effectiveness through extensive testing using MATLAB/Simulink software, demonstrating its potential as a valuable tool for enhancing the reliability of medium voltage distribution systems. [ABSTRACT FROM AUTHOR]

In ensuring sustainable power delivery under rapid growth in demand, modern power grids are characterized by advanced solutions such as flexible alternating current transmission systems and distributed generation. However, flexible alternating current transmission systems and distributed generations are often planned by their respective system operators, ignoring their coordination and impacting system-wide performance. This paper develops a bi-level optimization approach for flexible alternating current transmission systems and distributed generation coordination in an integrated transmission and distribution network to improve available transfer capability, power losses, and voltage deviation. The approach comprises inner and outer optimization. Inner optimization implements a hybrid of particle swarm optimization and Active Power Flow Performance Index for flexible alternating current transmission systems' planning. At the same time, the outer optimization employs multi-objective particle swarm optimization, which targets distributed generation planning at the distribution network--the integrated transmission and distribution network models' both transmission and distribution section. To demonstrate the effectiveness of the developed approach, two models of distributed generations, only real power and real and reactive power injections, were separately coordinated with a thyristor-controlled series compensator and static synchronous series compensator. Results show superior available transfer capability enhancement with thyristor-controlled series compensator-power injectionsDG and static synchronous series compensator-power injectionsDG, compared to the non-coordinated scenario. Pareto front plots of available transfer capability, power losses, and voltage deviation are such that after some maximum available transfer capability, the slope of the Pareto approaches zero. [ABSTRACT FROM AUTHOR]

Modern research in psychiatry is increasingly focusing on the possible identification of potentially useful biomarkers for early and differential diagnosis and patient-tailored therapy. In this context, old and new biomarkers are gaining attention, and bilirubin could represent a low-cost and widespread tool in this regard. In the following paper, we present a case report of a patient with juvenile-onset schizophrenia successfully treated with oral risperidone on 2 separate occasions, whose clinical exacerbation phases overlapped with hyperbilirubinemia peaks, while comfort phases were associated with serum bilirubin within the normal range. The patient was later diagnosed with Gilbert's syndrome, a benign, congenital condition of hyperbilirubinemia, with alternating phases of mostly asymptomatic bilirubin levels. This case highlights a possible relationship between psychotic symptoms and plasma bilirubin levels. While not representing by itself a sufficient condition to determine a relationship between the 2 phenomena, it poses a relevant question for future clinical and research investigations. [ABSTRACT FROM AUTHOR]

Melkersson-Rosenthal syndrome is a rare neuromucocutaneous granulomatous syndrome of unknown etiology characterized by a classical triad of relapsing orofacial edema, recurrent peripheral facial palsy, and lingua plicata. However, the classical triad is seen in only a minority of the cases. The majority of patients present with mono- or oligosymptomatic forms of the disease. Childhood onset of Melkersson-Rosenthal syndrome is extremely rare, and only a few cases have been described in the literature. This paper reports the case of an 8-year-old girl with cheilitis granulomatosa. Two years after the initial presentation, she presented with a unilateral peripheral facial palsy and a diagnosis of Melkersson-Rosenthal syndrome was established. The aim of this paper is to raise awareness among otolaryngologists of this condition in children presenting with orofacial swelling and/or peripheral facial palsy. Since symptoms do not always occur simultaneously, diagnosis often requires repeated follow-ups. Early recognition and a multidisciplinary approach to this condition are crucial to minimize recurrences and prevent orofacial dysfunction and its associated implications for the child's psychosocial well-being. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Endocrinology & Metabolism is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The coronavirus disease 2019 (COVID-19) pandemic is spreading like wildfire and has posed significant challenges to the delivery of healthcare in all affected countries. Populations worldwide are vulnerable to the virus, which is highly infectious in nature. With the consequential lifestyle changes resulting from lockdown and quarantine, compromised mental health was part of the repercussions that affected most people, including the public, healthcare workers, and those unfortunate ones who fell victim to the COVID-19 infection. This is a narrative review article that aims to dwell into and discuss the impact of COVID-19, focusing on neuropsychiatric implications and the subsequent provision of oral care. Articles were searched from online databases such as MEDLINE, ScienceDirect, and Google Scholar, and the keywords used to identify the papers were "COVID-19," "Neuropsychiatry," and "Dental care delivery." Any conventional and effective prevention of oral diseases and self-administered care may be doubtful considering dental care access and delivery are not operating in the usual way during this trying time. [ABSTRACT FROM AUTHOR]

In this paper, we provide an update on autism spectrum disorder (ASD), including epidemiology, etiopathogenesis, clinical presentation, instrumental investigations, early signs, onset patterns, neuropsychological hypotheses, treatments, and long-term outcome. The prevalence of this condition has increased enormously over the last few decades. This increase prompted a search for possible environmental factors whose effects would add up to a genetic predisposition leading to the development of autism. But the genetic and environmental variables involved are extremely numerous, and conclusive data regarding the etiopathogenesis are still far away. Assuming that a well-defined etiology is still found today only in a minority of cases, numerous pathogenetic mechanisms have been hypothesized. Among these, we mention oxidative stress, mitochondrial dysfunction, alteration of the intestinal microbiota, immune dysregulation, and neuroinflammation. These pathogenetic mechanisms could alter epigenetic status and gene expression, finally leading to ASD. Inherent in the term spectrum is the great clinical heterogeneity of this condition, mainly due to the frequent comorbidity that characterizes it. The earlier the diagnosis is made and the earlier psychoeducational treatment begins, the better the prognosis. In this sense, the role of pediatricians can be decisive in making children with signs suggestive of autism undergo a specialist diagnostic course. The development of increasingly advanced cognitive-behavioral educational techniques has considerably improved the prognosis of affected individuals, even though only a small minority of them come off the autistic spectrum. Pharmacological therapies are used to treat comorbidities. During childhood, the most important prognostic factor for long-term outcome seems to be intellectual functioning. [ABSTRACT FROM AUTHOR]

In this paper, a new three-phase unbalanced distribution load flow (DLF) technique is proposed to study the impact of distributed generations (DGs) installed in the distribution networks in mitigating the voltage sag. Distributed generations are modeled as variable reactive power and constant power factor source with both wind- and solar-powered DG in the case study. The proposed DLF technique is based on the application of set theory. Effect of DGs in mitigating voltage sag is mathematically explained with the help of phasor diagram. The proposed technique is tested over standard IEEE 13 and IEEE 123 bus distribution networks with programming in MATLAB platform. To justify the claims, different cases have been studied like load increment and increasing maximum power limit of DGs. Also, a comparison is drawn between proposed DLF technique and traditional backward–forward sweep method where the efficacy of proposed technique is proved over the traditional method. [ABSTRACT FROM AUTHOR]

In this article, the author focuses on the conduction of the pleural research for several young researchers. It mentions that it is important for researchers in formulation of the research and analysing the data. It focuses on the development of a hypothesis and approval must be obtained from the Institutional Review Board (IRB).

A previous version was presented as an oral paper at the Annual National Conference of The Indian Psychiatric Society (ANCIPS), Ranchi, India, 2018. ABSTRACT Intracranial space-occupying lesions (ICSOLs) like hematomas, neoplasms, granulomas, or brain abscesses can present with diverse neuropsychiatric manifestations. Subtle cognitive deficits, anxiety, affective symptoms--especially depression, personality changes, and psychosis, most commonly hallucinations, have been associated with organic etiology. Catatonia has seen a paradigmatic shift in its etiological basis and space-occupying lesion is a rare yet important cause to be investigated for, as it poses a challenge in terms of searching for early clinical indicators of cerebral pathology and difference in treatment outcome due to etiology. Here we present a case of catatonia due to ICSOL in a patient of affective disorder with a history of recurrent catatonic episodes, highlighting the importance of approaching each catatonic presentation as a syndrome with diverse possible etiology. [ABSTRACT FROM AUTHOR]

The increasing demand for sustainable energy solutions has sparked a growing interest in solar power plants (SPPs) as a viable option for reducing reliance on conventional energy sources. With the integration of SPP, the potential arises for a decrease in grid dependency during the day and improved stability in demand-side load profiles. To enhance the contribution of SPP toward sustainable energy solutions, it is crucial to explore effective load management strategies, including peak clipping. This paper investigates peak clipping as one of the demand-side management (DSM) techniques facilitated by SPP. The objective of this study is to provide comprehensive insights into the practical application of peak clipping techniques and their impact on improving the load factor (LF). To achieve this objective, the analysis in this study utilizes real data derived from an operational SPP located in the central campus of Manisa Celal Bayar University. To evaluate the impact of SPP on peak clipping and LF, a series of diverse case studies which encompass a range of campus scenarios are undertaken. The aim is to thoroughly analyze and understand how SPP systems affect peak clipping and LF under different circumstances. The analysis reveals significant improvements in LF resulting from the integration of the SPP, ranging from 1.04% to 10.62%. Results show that transition to online education and reduced campus population positively impacted LF during coronavirus disease 2019 compared to pre-pandemic times. These findings align with the dynamics of the campus lifestyle and underscore the favorable effects of these factors on LF. [ABSTRACT FROM AUTHOR]

The aim of this paper was to provide a concise review of modern standards in the management of unilateral vocal fold paralysis (UVFP). This article can be used as a proposal for unilateral vocal fold paralysis treatment and as a possible indication for referral to a tertiary laryngology center. Unilateral vocal fold paralysis is a common condition, mainly caused by iatrogenic, neoplastic, or idiopathic causes. The initial treatment consists of vocal therapy with or without injection laryngoplasty. If voice impairment persists, a permanent reconstruction is usually proposed, mainly consisting of an adduction thyroplasty with or without arytenoid adduction or, to a lesser extent, laryngeal reinnervation, according to the patient's wishes. [ABSTRACT FROM AUTHOR]

Dental fluorosis is a specific disturbance in enamel formation that leads to subsurface porosity during the late secretory and maturation phases due to excessive fluoride ingestion. The conventional management of teeth discolored by fluorosis involves performing vital tooth bleaching, microabrasion, placement of veneers or crowns, etc. The ultimate choice of treatment is based on the severity of the disease. This paper highlights a clinical case of generalized mild fluorosis treated using the resin infiltration technique, thus reviewing the mechanism of action and clinical procedure. [ABSTRACT FROM AUTHOR]

Goltz-Gorlin syndrome, also known as focal dermal hypoplasia or nevoid basal cell carcinoma syndrome, is a rare multisystemic disease caused by autosomal dominant mutations in the PORCN gene. The characterizing features are keratocystic odontogenic tumors in the jaw, multiple basal cell carcinomas, calcification of the falx cerebri, palmar or plantar pits, and skeletal abnormalities. This paper reports the case of a 3-yearold girl with Goltz-Gorlin syndrome, showing progressively increasing tonsillar hypertrophy with obstructive effect on the oropharynx. The lymphatic tissue was remarkably papillomatous in aspect. Pathologic examination after tonsillectomy showed hyperplastic, morphologically normal tonsillar tissue, without arguments for papilloma, active inflammation, or malignancy. This paper highlights the rare manifestations of ENT pathologies in GGS which demand attention early on and long-term follow-up. [ABSTRACT FROM AUTHOR]

As wind power generation increases, power system operators are challenged by the detailed modeling and simulation of wind power plants to realize the behavior and to maintain the stability of their power systems. In order to investigate the performance of the wind power plants, dynamic root mean square (RMS, 50 Hz phasor dynamics) and electromagnetic transient (EMT) models are very crucial with standards and guidelines. These dynamic models have been developed in the last two decades by the wind turbine manufacturers and plant and power system tool developers. In accordance with this progress, Australian Energy Market Operator (AEMO) has published a dynamic modeling acceptance test (DMAT) to assess the accuracy, consistency, and robustness of RMS and EMT models used for power system analysis. In this paper, DMAT is summarized to introduce how AEMO guides the modeling aspects of wind power plants in their power system. Additional inputs have been discussed to improve the modeling perspective for the future guidelines. [ABSTRACT FROM AUTHOR]

This paper investigates the impacts of solar irradiance, ambient temperature, and solar inverter efficiency on the performance of a photovoltaic system. The analysis of the system has been performed on the unbalanced IEEE 13-node test feeder. The loads connected to the feeder are modeled as constant impedance, constant current, constant power (ZIP) loads, and the daily load profiles of three customers (commercial, industrial, and residential) are employed. A daily power flow simulation at 1-minute intervals has been carried out using Open Distribution System Simulator (OpenDSS). The PV system performance has been evaluated using numerical simulations under three weather conditions, namely sunny, semi-cloudy, and overcast. The results show that the PV system generates more power on sunny and semi-cloudy days while the PV output power is very low on an overcast day due to the extremely low solar irradiance. In addition, the energy demand from the substation and the power loss has been reduced with the deployment of the photovoltaic system into the distribution system. Moreover, when the ambient temperature and inverter efficiency are considered, the PV system produced more power in sunny and overcast conditions compared to when these factors are not taken into consideration or assumed the temperature is constant throughout the day. This result shows the effect of the temperature of the selected region on the performance of the PV system. The losses due to the inverter and temperature can be reduced by appropriately sizing the inverter and choosing a proper location with high solar irradiance and low temperature, respectively. [ABSTRACT FROM AUTHOR]

This paper proposes a method for thermal optimization for the radial flux permanent magnet synchronous motor (PMSM) used in light electric vehicles. Thermal effects cause many negative impacts, especially losses in electrical machines. These effects cause the permanent magnets to deteriorate and the motor to become inoperable in PMSMs. Therefore, it is important to optimize the operating internal temperatures of PMSM. In this study, it is suggested that the permanent magnets of the PMSM should be made in pieces in the axial direction in order to reduce the operating temperature value. The simulated design is a radial flux PMSM used in light electric vehicles with a power of 3.2 kW, 150 V, and 1000 rpm. ANSYS Electronics Desktop, a finite element method-based software, was used for electromagnetic field analysis, and ANSYS Motor-Cad software was used for thermal simulation. The simulation results show that the axial division of the permanent magnets reduces the PMSM internal temperature value. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Endocrinology & Metabolism is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Anatolian Physics & Astronomy is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Cerrahpaşa Medical Journal (CMJ) has a long history, dating back to 1970, but experienced a period of stagnation from 2009 to 2019. However, in the past four years, the new editorial team has successfully revived the journal, attracting high-quality academic papers from all over Turkey. In just two years, the journal was listed in international indices, and in the August 2023 issue, there are 25 papers from five different countries covering various medical topics. The journal is on the verge of being listed in the Emerging SCI and is committed to upholding academic and ethical principles. The previous editor-in-chief, Ali Metin Kafadar, is passing on the task to the new editor-in-chief, Ali İbrahim Hatemi, and they express gratitude to the authors, reviewers, publishers, and readers who have supported CMJ. [Extracted from the article]

This systematic review examines the gender-related vulnerability to social anxiety during the COVID-19 pandemic. The review analyzes ten studies from various countries and finds that women are generally more likely to experience social anxiety than men, although the effect sizes are small. However, only three studies support the claim that women are more vulnerable to social anxiety specifically related to the pandemic. The review suggests that further research should address methodological limitations and cross-cultural variables. Additionally, the document provides a list of references related to social anxiety, including studies on the prevalence and burden of depressive and anxiety disorders during the pandemic, vaccine hesitancy, social distancing, and the effects of mask-wearing on social anxiety. It also includes references on the assessment and measurement of social anxiety, as well as studies on the relationship between social anxiety and factors such as self-consciousness, parenting practices, and friendships. [Extracted from the article]

Despite the deep interest of materials scientists in cadmium telluride (CdTe) crystal growth, there is no single source to which researchers can turn for comprehensive knowledge of CdTe compound semiconductor synthesis protocols, physical characteristics, and material performance. Considering this, the present review work focuses on bridging these shortcomings. The CdTe crystals with direct band gap (Eg) have been in limelight in the photovoltaic application (PV) as the optoelectronic properties such as Eg (1.49 eV), absorption coefficient (~105 cm−1 ), p-type conductivity, carrier concentration (6 × 1016 cm−3), and appreciably high mobility (1040 cm² /V s) at the room temperature are reported, which are optimum for solar cells. Additionally, Cd-based crystals have also been widely studied and implemented in the field of α and γ-ray radiation detectors because of their extraordinary advantages like a large atomic number, low weight, high mechanical as well as thermal stability, flexibility, and the availability of the constituent materials. Cadmium telluride has demerits like toxicity (ecological damage) and high chances for defects/dislocations due to high thermal conductivity at melting temperature and high melting temperature, which will complicate the growth of stoichiometric CdTe crystals at high temperatures. Even though CdTe has the aforementioned issues, on the other hand, the absorber material reached a milestone (solar cell efficiency in the order of 22%), which enhances the attractiveness of this binary compound more and more in the field of crystal growth technology. In this regard, the review work focused on the periodic evolution of the growth protocols until now for the production of bulk, good quality CdTe crystals. The different synthesis methods, characterization, and recent progress in the field of crystalline CdTe were discussed briefly. Important physicochemical characteristics are presented in the tables and remaining issues due to chemical in-homogeneity, defects, imperfections, etc., have been discussed, which could facilitate the researchers who are working on this class of compound semiconductors. The applications of CdTe crystals to PV fields are also discussed separately in this review paper. [ABSTRACT FROM AUTHOR]

This paper presents compared performances of three metaheuristic algorithms in determining the cost of hybrid renewable energy system. Using genetic algorithm (GA), particle swarm optimization (PSO), and artificial bee colony (ABC), the best affordable sizes of solar photovoltaic array, battery bank, and a minimum-rated diesel generator that could be hybridized to meet the demand of a community in Southwest Nigeria were determined. Load profile, solar radiation, and temperature data were employed as required inputs, and the parameters of the algorithms were properly set to ensure the best result. Bonferroni– Holm method was deployed to ascertain the statistical significance among the algorithms. It was found that ABC produced the best configuration comprising 427 numbers of solar photovoltaic panels, 19 battery units, and 163.2 kW-rated diesel generator. With this, a total annualized cost of $167 284 and 0.2443 estimated cost of energy were obtained. These were the lowest when compared with PSO and GA. The t-test between PSO and ABC are both 5.83 × 10−10 < 0.01666667, between ABC and GA are 6.09 × 10−6 <0.01666667 and 6.09 × 10−6 <0.025, while between GA and PSO are 9.13 × 10−1 > 0.01666667 and 9.13 × 10−1 > 0.05. PSO/ABC and ABC/GA groups are clarified significant, while GA/PSO group is insignificant; post hoc test reveals that ABC produced the best result. Hence, a reliable and sustainable power supply at a reduced cost is guaranteed for the community. [ABSTRACT FROM AUTHOR]

Objective: It has been documented that several major components of air pollution, including trace elements and polycyclic aromatic hydrocarbons, are associated with the prevalence of systemic lupus erythematosus (SLE). However, the impact of air pollution on the SLE disease activity is still elusive. In this paper, we review the current evidence investigating the link between air pollution, especially when measured as PM2.5, and SLE severity and activity. Methods: A detailed literature search was applied a priori to the Ovid MEDLINE In-Process and Other Non-Indexed Citation 1986 to present. Presented abstracts from the European League Against Rheumatism and American College of Rheumatology (ACR)/Association for Rheumatology Health Professionals (ARHP) Annual Meetings (2011-2018) were also screened. Results: Out of a total of 1354 papers retrieved from search and references list for detailed evaluation, data from 652 patients with SLE from three studies were analyzed. Two studies had an observational longitudinal design, counting for 348 patients with a follow-up of 24 months and 79 months. Retrieved studies differed for disease activity assessment and air pollution quantifications. Conclusion: Current evidence suggests that variations in air pollution may influence the disease activity in patients with SLE. However, the sample size, methodological biases, and differences across the studies make further research mandatory. Understanding the increased burden of SLE and its complications, not only from a medical, but also from a socio-demographic perspective, including an exposure to pollutants, should have implications for resource allocation and access to subspecialty care. [ABSTRACT FROM AUTHOR]

Practice audits are useful opportunities to improve practice efficiency and effectiveness, reduce clinical errors, demonstrate quality care to stakeholders, promote high standards of practice, lower the risk of liability, and foster practice change. However, a benefit that is usually overlooked is the possibility of publication of the results of a practice audit. Publication (research) has a number of benefits for the clinician, including skill development as a scholar, communicator, professional, and collaborator. A practice audit is beneficial to an individual physician; furthermore, publication of the audit results could be beneficial for many others such as health care providers, patients, and other stakeholders in a health care system. The problem is that practice audits often begin without a clear plan. The important steps in planning and carrying out a practice audit can be captured by thinking about how a research publication evolves. Thus, a good researcher is a good practice auditor. This paper reviews the author's experience and provides examples and directions of the process of practice-audit-publish. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the clinical, therapeutic, and evolutionary characteristics of patients with systemic lupus erythematosus (SLE) that is associated with gastroparesis. We have systematically researched articles published in Pubmed, MEDLINE, LILACS, and Scielo dating from 1966 to April 2020. All the researched articles are based on gastroparesis and SLE in the following literature: English, Chinese, and Japanese. We obtained five cases of SLE associated with gastroparesis. There are three case reports included and two retrospective epidemiological studies where the clinical data are not detailed. Of the case reports, all of them were females aged between 27 and 58 years. All of them showed symptoms of nausea and vomiting. Abdominal pain and weight loss were reported in the only two-third of the cases. Only one case showed early satiety. All the cases were tested positive for antinuclear antibodies and anti-dsDNA antibodies at the time of gastroparesis. In all the cases, scintigraphy was performed to check gastric emptying. This is the gold standard for diagnosing gastroparesis. Concerning therapy used, three-third of the cases received glucocorticoids 1 mg/kg daily. In two-third of the cases, azathioprine was used. Before starting the corticosteroids therapy, all the cases received antibiotics and motility stimulants with poor outcomes. The early diagnosis of gastroparesis with SLE must be rapid so that the therapy can be initiated promptly. Due to the severity of the condition that may result in nausea, abdominal pains, and satiety, using endoscopy and gastric emptying scintigraphy is fundamental. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Endocrinology & Metabolism is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

OBJECTIVE: The COVID-19 pandemic is progressing rapidly, sending the world into a great panic. Healthcare professionals have responded by embarking on a concerted search for therapies to cure and prevent COVID-19. Recently, interferon (IFN) has emerged as a potential therapy as it is associated with reducing lung inflammation and suppressing viral replication. This research paper assessed the efficacy of high-dose nebulized IFN α 2b in severe COVID-19 pneumonia. METHODS: This is a retrospective study. It commenced on April 9 and ended on June 17, 2020. Researchers selected participants from hospitalized patients aged 18 years and above who were diagnosed with severe COVID-19 pneumonia. Other inclusion criteria were bilateral pneumonia on lung or chest X-ray scan and severe respiratory distress. SMART-COP, which is a risk stratification scoring tool, and radiologic severity index (RSI) were used to assess pneumonia severity. Patients in the treatment cohort received nebulized IFN α 2b at a dose of 10 million IU every 12 hours for 5 days, in addition to standard treatment. Patients in the control cohort received standard treatment only. RESULTS: Seventy-three patients met the inclusion criteria; 37 were included in the treatment cohort and 36 in the control cohort. Mechanical ventilation was needed in 14 of 36 (38.9%) patients in the control cohort, compared with 6 of 37 (27.4%) patients in the treatment cohort (HR 5.62 [95% CI 1.81-17.48]; P = .003). For pneumonia severity, there was a hazard ratio (HR) of 3.72 [95% CI 1.74-7.98]; P = ·.01. After 5 days of treatment, chest X-rays indicated significant beneficial changes in the treatment group (HR 2.24 [CI 1.05-4.79]; P = .036). Multivariate analysis revealed that pneumonia severity and RSI remained higher in the control group. The HR was 3.44 [95% CI 1.49-7.94]; P = .004 and 2.26 [95% CI 0.99-5.16]; P = .05, respectively. There was an increase in liver aminotransferases in 5 (14%) participants in the control cohort and 3 (8%) participants in the treatment cohort. CONCLUSION: High-dose nebulized IFN α 2b has potential efficacy in mitigating severe COVID-19 pneumonia. This study established that administering high-dose nebulized IFN α 2b significantly reduces pneumonia severity in COVID-19 patients. We also found a strong relationship between using nebulized IFN α 2b and reduced need for mechanical ventilation among patients with severe COVID-19 pneumonia. However, a well-designed control trial is needed to confirm the drug's efficacy in reducing the COVID-19 pneumonia severity. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Endocrinology & Metabolism is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Türk Pediatri Arşivi is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)