bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical characteristics and therapeutic outcomes after endoscopic endonasal surgery for craniopharyngioma in the elderly
Authors: Bao You-Yuan , Pan Lai-Sheng , Cao Yong , Wu Jie , Xie Shen-Hao , Ouyang Feng , Tan Jian , Wang Qi-Fa , Zhou Dong-Wei , Tang Bin , Hong Tao 
Published: September 2024

OBJECTIVE
Craniopharyngiomas (CPs) in adults are rare benign epithelial tumors, and few contemporary studies have explored outcomes after surgical treatment in elderly patients, especially with regard to endoscopic endonasal surgery (EES).

METHODS
A retrospective cohort study was conducted on patients aged ≥ 18 years with CP who were treated with EES from 2013 to 2022. The cohort was divided into nonelderly (18–64 years) and elderly (≥ 65 years) groups based on age. Various parameters, including patient and tumor characteristics, surgical outcomes, complications, and follow-up, were compared between the two age groups.

RESULTS
A total of 193 patients met the inclusion criteria, with 161 (83.4%) patients in the nonelderly group and 32 (16.6%) patients in the elderly group. Preoperatively, older patients were more likely to have memory impairment (4.3% vs 18.8%, p = 0.010), fatigue or decreased energy (9.3% vs 34.4%, p = 0.001), hypopituitarism (68.7% vs 90.6%, p = 0.012), or hydrocephalus (18% vs 40.6%, p = 0.005), and they were more likely asymptomatic (1.2% vs 9.4%, p = 0.033) and less likely to experience headache (57.8% vs 31.3%, p = 0.006). Patients in the elderly group had a longer symptom duration (median [IQR] 5 [10] months vs 9.5 [13] months, p = 0.001) and higher comorbidity scores (p < 0.001). Postoperatively, gross-total resection was achieved in 145 (90.1%) and 28 (87.5%) patients in the nonelderly and elderly groups, respectively. Older patients were more likely to develop pneumonia (5% vs 21.9%, p = 0.004). There were no significant differences in the extent of resection (p = 0.541), pathological subtypes (88.2% vs 75.0% adamantinomatous, p = 0.089), operation time (mean ± SD 307.8 ± 68.3 minutes vs 323.5 ± 86.0 minutes, p = 0.257), estimated blood loss (median [IQR] 300 [200] ml vs 300 [238] ml, p = 0.594), length of stay (median [IQR] 15 [8] days vs 15 [22] days, p = 0.964), perioperative mortality (2.5% vs 3.1%, p > 0.99), or postoperative severe hypothalamic dysfunction (37.9% vs 50.0%, p = 0.237) between the groups. Multivariate Cox regression analysis demonstrated that tumor calcification (HR 3.406, 95% CI 1.859–27.233, p = 0.038) and preoperative hydrocephalus (HR 3.688, 95% CI 1.310–10.386, p = 0.013) were independently associated with decreased survival. The median follow-up period in the elderly group was shorter (71 months vs 44 months, p = 0.001), and no recurrence was observed (7.1% vs 0%, p = 0.132).

CONCLUSIONS
This study demonstrates that EES is a viable treatment option for older CP patients. With appropriate perioperative management, EES does not significantly increase mortality and, in selected populations, is well tolerated by patients.
Value of difference in diameters between Pipeline embolization device and parent artery in assessing aneurysm outcome
Authors: Ma Yajing , Zhang Hang , Liu Chao , Deng Xin , Yuan Yongjie , Guan Sheng , Guo Xinbin 
Published: September 2024

OBJECTIVE
In vitro trials have demonstrated that oversized stents are associated with reduced metal coverage and increased porosity. However, the relationship between stent selection and aneurysm outcome is inconclusive, and determination of this was the authors’ purpose in conducting this study.

METHODS
This was a single-center retrospective study. Patients who underwent Pipeline embolization device treatment at the authors’ center between January 1, 2018, and June 15, 2023, were enrolled. The authors constructed multiple logistic regression models and restricted cubic spline plots to examine the effect of the difference in diameters between the stent and parent artery (Dd) on aneurysm outcome. The authors also performed stratified analyses. Then, Dd was included in the logistic regression analysis as a categorical variable. The cutoff value for Dd was determined according to the principle of the maximum Youden’s index.

RESULTS
In total, 302 patients were included in this study. The median Dd was 0.52 mm. With a median follow-up time of 7 months, the aneurysm occlusion rate was 80.1%. The restricted cubic spline plots showed a decreasing aneurysm occlusion rate as Dd increased. After stratification by age and adjunctive embolization, the restricted cubic splines aligned with the results of the main analysis. Compared with the group with a smaller Dd (Dd < 0.3625 mm), the group with a larger Dd showed an OR of 0.439 (p = 0.026). Additionally, patients with diabetes mellitus (OR 0.306, p = 0.018), age ≥ 65 years (OR 0.968, p = 0.03), aneurysm incorporation with a branch (OR 0.253, p < 0.001), and aneurysm neck ≥ 4 mm (OR 0.872, p = 0.003) were independent predictors of aneurysm persistence, whereas Pipeline embolization device plus coiling (OR 4.949, p < 0.001) and smoking history (OR 5.86, p = 0.025) were predictors of aneurysm occlusion.

CONCLUSIONS
The authors’ retrospective analysis demonstrated that the aneurysm occlusion rate declined when Dd increased within a certain range. The authors suggested that Dd with an interval of −0.25 to 0.5 mm may be proper in clinical practice.
Complications of intrathecal baclofen therapy in children and young adults
Authors: Ryan Megan V. , Freeman Lindsey M. , Blasco Sophia , Sawyer Kim , Graber Sarah , Tong Suhong , Oleszek Joyce , Wilkinson Corbett 
Published: September 2024

OBJECTIVE
The primary objective of this study was to determine the frequency and nature of complications that occur during intrathecal baclofen (ITB) therapy, including nonsurgical complications as well as complications associated with both implantation surgeries and subsequent revisions.

METHODS
The authors retrospectively reviewed the medical records of all patients who had baclofen pumps implanted at a tertiary children’s hospital from 2006 through June 2019. The study employed appropriate descriptive statistics and statistical models to analyze patient demographics, improvements in tone, and clinical complications. The authors evaluated the associations of complications as well as changes in modified Ashworth Scale (MAS) scores with various preexisting conditions (e.g., presence of gastrostomy tubes [G-tubes] and ventriculoperitoneal [VP] shunts) and surgical variations (e.g., use of newer [Ascenda] catheters and subfascial versus subcutaneous catheter tunneling).

RESULTS
One hundred forty-two pumps were implanted. Complications occurred in 111 patients (78.2%). The most frequent complications were catheter complications and pseudomeningoceles, each of which occurred in 63 (44%) patients. On multivariable analysis, pseudomeningoceles and percutaneous CSF leaks were significantly less likely when intrathecal catheters were placed via laminotomy versus spinal needle (OR 4.6, p = 0.044), and when catheters were passed from the posterior incision to the abdominal pump pocket deep to the thoracolumbar fascia rather than superficial to it (OR 2.7, p = 0.008). Preexisting G-tubes and VP shunts at the time of pump implantation were not associated with a significantly increased likelihood of pump malfunction or infection. Ascenda catheters were significantly less likely to have disconnections (p < 0.001) and obstructions (p = 0.016), and overall were less likely to have any catheter-related complications (p = 0.01). Patients with preexisting VP shunts at the time of implantation had a significantly greater mean decrease in MAS scores in both their lower extremities (1.8, p = 0.003) and upper extremities (1.3, p = 0.002) than did patients without shunts.

CONCLUSIONS
Various complications are associated with ITB therapy, most commonly catheter complications and pseudomeningoceles. There have been fewer catheter complications associated with the newest catheter model, while pseudomeningoceles have become less frequent since the surgical technique was modified to prevent them. VP shunts and G-tubes are not associated with significantly higher complication rates and shunts seem to be associated with greater efficacy of ITB therapy, as represented by a greater mean improvement in MAS scores.
Central nervous system dissemination in spinal cord astrocytomas: association with H3 K27M mutation
Authors: An Songyuan , Lin Han , Zhang Yaowu , Pang Bo , Yan Hao , Liu Yun , Wang Long , Wu Yilin , Chai Ruichao , Jia Wenqing , Wang Yongzhi 
Published: September 2024

OBJECTIVE
Patients with spinal cord astrocytomas (SCAs) are at high risk for CNS dissemination, yet comprehensive data on characteristics of dissemination are lacking. This study depicts the exact incidence and patterns of dissemination by analyzing data from a large-scale dataset of SCA.

METHODS
The authors included 94 patients with SCA based on the 2021 WHO classification from 2011 to 2022, retrospectively collected their clinical and pathological characteristics, and analyzed factors influencing SCA dissemination.

RESULTS
CNS dissemination, encompassing leptomeningeal spreading and/or subarachnoid seeding, was evaluated in 94 patients with and without H3 K27 alterations, with an overall dissemination rate reaching 85.0% at 5-year follow-up. Patients with altered H3 K27 had a significantly higher 5-year CNS dissemination rate than patients with H3 K27 wildtype status (95.2% vs 68.0%, p = 0.002). The median dissemination-free survival in H3 K27–altered patients was 14.37 (95% CI 2.84–25.89) months, significantly shorter than those with H3 K27 wildtype (statistics not calculated; p < 0.001). Based on univariate Cox regression analysis, H3 K27M alteration, higher histopathological grade, Ki-67 index (≥ 10%), and tumor length (≥ 4 segments) were identified as potential factors associated with CNS dissemination in SCAs. Multivariate Cox regression analysis revealed that H3 K27M alteration appeared to be a risk factor for this phenomenon (HR 2.089, 95% CI 0.940–4.642, p = 0.070). Following dissemination, H3 K27–altered patients had a median postdissemination survival of 8.83 (95% CI 7.13–10.54) months, which was significantly shorter than the 13.40 (95% CI 3.98–34.26) months in those with H3 K27 wildtype (p = 0.008).

CONCLUSIONS
Factors indicative of higher SCA malignancy, such as H3 K27M alteration, higher histopathological grade, Ki-67 index (≥ 10%), and tumor length (≥ 4 segments), were similarly suggestive of higher rates of dissemination. The occurrence of dissemination is closely associated with the outcome events in patients with SCA.
Intelligent Temperature-Controlled Poultry Feed Dispensing System with Fuzzy Logic Algorithm
Authors: Ramizares Ulysis V. , Teves Winbert James A. , Arboleda Edwin R. , Bangeles Julliana Marie C. 
Published: September 2024

This study introduces a novel fuzzy logic algorithm tailored to the thermoneutral zone of poultry, offering a precise and adaptive approach to feed dispensation. This involved the utilization of an LCD module to present essential information such as the selected age, real-time ambient temperature, current time, and the dispensed feed quantity. Data gathered during the process were stored in a memory device. The design of the fuzzy logic algorithm centered on the thermoneutral zone of the chicken serves as the determinant for feed dispensed by the system. It's crucial to note that while the system lacked artificial intelligence (AI), its logical analysis operated based on the fuzzy logic algorithm. Rigorous testing ensued, encompassing the comparison of feed dispensation between automated and manual systems and the assessment of feed waste and broiler weight. Significant feed waste reduction in the first week demonstrated the efficacy of the fuzzy-based method, with consistently low p-values of 0.00069, 0.015195, and 0.034 across subsequent weeks confirming the consistent outperformance in broiler weight compared to the traditional feeding technique. The findings contribute to the advancement of temperature-based poultry feed systems, addressing key challenges in optimizing feed quantity. The study successfully met its objectives, demonstrating the system's capability to dispense feeds effectively across varying ambient temperatures. Notably, the study revealed a consistent alignment of system outputs with those obtained from a digital thermometer and digital weighing scale, confirming the accuracy and reliability of the temperature-based feed dispensing system.
Radial Basis Function Network Based Self-Adaptive PID Controller for Quadcopter: Through Diverse Conditions
Authors: Sahrir Nur Hayati , Basri Mohd Ariffanan Mohd 
Published: September 2024

A quadcopter is an underactuated and nonlinear system which requires a robust controller to aid in maneuvering the quadcopter during flight. A Proportional-Integral-Derivative (PID) controller is easy and suitable to implement, and its efficiency is proved in quadcopter control. However, a PID controller with fixed parameters is inadequate enough to control a quadcopter system with different inputs or perturbations. This paper proposes the development of a self-adaptive PID controller assisted by Radial Basis Function (RBF) Network, to improve the function of the PID controller and help a quadcopter to better adapt towards different inputs and situations, independently. This work contributes to introducing RBF-PID controller to adaptively fly the underactuated quadcopter through different trajectory and perturbations using simulation. By using the hidden Gaussian function to train the current input, estimate the suitable output and update the Jacobian Information during system control, the PID gains can change adaptively during flight, additionally with the help of Gradient Descent Method (GDM). The proposed method is compared to the traditional PID controller tuned using the PID Tuner App in Simulink. Different inputs are given to test the altitude, attitudes, and position tracking such as step, multistep, sine wave, circular and lemniscate trajectory. The simulated results proved the robustness of RBF-PID in enhancing the disturbance rejection capacity by 13% to 25% in the presence of perturbations (sine wave and wind gust) compared to PID controller. The proposed controller can ensure quadcopter’s flight stability through perturbations that is within the quadcopter’s limitations.
Experimental Validation of the Generation of Direct and Quadratic Reference Currents by Combining the Ant Colony Optimization Algorithm and Sliding Mode Control in PMSM using the Process PIL
Authors: Najem Adil , Moutabir Ahmed , Ouchatti Abderrahmane , Haissouf Mohammed El 
Published: September 2024

This article aims to enhance the control efficiency of the Permanent Magnet Synchronous Motor (PMSM) by generating optimal reference currents and using Ant Colony Optimization (ACO), while ensuring a minimal absorbed current condition to reduce energy consumption and optimize PMSM performance. The ACO algorithm is chosen for its ability to find global solutions and robustness in complex environments, while Sliding Mode Control (SMC) provides advantages in terms of robustness against disturbances and the ability to maintain the system in a desired state. The implementation of the processor-in-the-loop (PIL) technique using MATLAB software with code composer and the LAUNCHXL- F28069M board enables the controller to be implemented in real hardware (LAUNCHXL-F28069M) to test the simulation environment (inverter and PMSM). Our results demonstrate the efficiency of ACO compared to the analytical method (AM) in terms of response time and minimizing absorbed current for different load values. Artificial intelligence (AI) has successfully and efficiently addressed the non-linearity between torque and reference currents, thus reducing energy consumption. This has allowed for the optimization of PMSM performance in a straightforward and efficient manner.
A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units
Authors: Andic Cenk , Ozumcan Sercan , Varan Metin , Ozturk Ali 
Published: September 2024

This study introduces the Sea Horse Optimizer (SHO), a novel optimization algorithm designed for Load Frequency Control (LFC) in two-area power systems including photovoltaic and thermal units. Inspired by the interactive behaviors of seahorses, this population-based metaheuristic algorithm leverages strategies like Brownian motion and Levy flights to efficiently search for optimal solutions, demonstrating quicker and more stable identification of global and local optima than traditional algorithms. The proposed SHO algorithm was tested in a two-region power system containing a photovoltaic system and a reheat thermal unit under three different scenarios. In the first scenario, the frequency response of the algorithm to a 0.1 p.u. load change in both regions was examined. In the second scenario, the algorithm's frequency response to sudden load changes from 0.1 p.u. to 0.4 p.u. was tested. Finally, the algorithm's frequency response was examined against different levels of solar irradiance for sensitivity analysis. This study compared the performance of the SHO-optimized controller with the optimization algorithms reported in the literature, including the Genetic Algorithm (GA), Firefly Algorithm (FA), Whale Optimization Algorithm (WOA), and Modified Whale Optimization Algorithm (MWOA). In this context, the optimization of PI controller gain parameters based on the ITAE metric resulted in SHO algorithm achieving the best performance with values of 2.5308, followed by WOA at 4.1211, FA at 7.4259, and GA at 12.1244. In tests, SHO significantly outperformed these algorithms in key performance metrics, such as Settling Time, Overshoot (M+), and Undershoot (M-). Specifically, SHO achieved 98.94% better overshoot and 85.25% reduced undershoot than GA, and concluded settling times 52.79% faster than GA in the first scenario. Similar superior outcomes were noted in subsequent tests. These results underline SHO's efficacy in enhancing system stability and control performance, marking it as a significant advancement over conventional LFC methods.
Utilize the Prediction Results from the Neural Network Gate Recurrent Unit (GRU) Model to Optimize Reactive Power Usage in High-Rise Buildings
Authors: Rofii Ahmad , Soerowirdjo Busono , Irawan Rudi , Caesarendra Wahyu 
Published: September 2024

The growing urbanization and the construction sector, efficient use of electric energy becomes important, especially the use of reactive power. If excessive use causes decreased efficiency and increased operational costs. Decreased efficiency contributes to increasing exhaust gas volumes and greenhouse emissions. Efficient energy can achieved if planning and predictions are correct. This research applies the GRU neural network method with grid search initialization as a novelty predictive model for energy-use high-rise buildings in form fast training without multiple iterations because optimal hyperparameters are obtained. Experimental show the MAE and RMSE performance metrics of the GRU better than LSTM in predicting energy consumption data peak loads, off-peak loads and reactive power. The accuracy of GRU predictions can optimize the use of energy to contribute to saving the environment from exhaust emissions and the greenhouse effect in urban systems. Experimental results demonstrate the superiority of GRU over LSTM, proof of the much lower MAE and RMSE values. This metric shows the accuracy of GRU in generalizing data both during peak and off-peak hours, as well as in reactive power usage. By Utilizing GRU's capabilities, building management can manage reactive power usage effectively, allocate reactive power resources appropriately, and mitigate peak load times and the power factor within the threshold, thus avoiding additional costs and electrical system efficiency and contributing to reducing the carbon footprint and gas emissions greenhouse. Research on GRU is widely open in the high-rise building sector, including its integration with sensors to automatically control energy use.
Performance of New Control Strategy of Dual Stator Induction Generator System Applied in Wind Power Generation
Authors: Ameur Fatima , Kouzi Katia , Ameur Khadidja 
Published: September 2024

In order to improve the quality of energy and reduce the harmonics produced by the power electronics converters, it is proposed and developed in this article the direct torque control, in which the flux and torque are estimated from the only measurable electrical quantities. The direct torque control DTC method, to enhance the dynamic and static performances as well as the robustness of the control of the Wind Energy Conversion System (DSIG). DTC is a control technique that exploits the possibility of imposing torque and flux on alternating current machines in a decoupled manner, once powered by a voltage inverter without current regulation made by a feedback loop, ensuring a decoupling, similar to that obtained from a vector control. The technique involved rapid torque response, insensitivity to parametric variation, in particular the machine's rotor time constant and systematic suitability for control without speed sensor. The main function of the generator side controller is to track the maximum power through controlling the rotational speed of the wind turbine using PI controller. The performance and the effectiveness of the proposed control system are tested via simulation results in terms of reference tracking, and robustness against parameters variations of the DSIG. Simulation results for 1.5 MW DSIG control show robust with respect to the parametric variation 2 Rs, 1,5 Rs et 0.5 Rs, and fast dynamic behavior of system, with the temps of response is 0.02 s, active power extracted 0.15 MW with lambda 9 and Cp 0,5 that the wind turbine can operate at its optimum power point for a wide range of wind speed and power quality can be greatly improved.
Deep Learning-Based Automated Approach for Classifying Bacterial Images
Authors: Abougarair Ahmed Jaber , Oun Abdulhamid A. , Sawan Salah I. , Ma’arif Alfian 
Published: September 2024

Identifying and classifying bacterial species from microscopic images is crucial for medical applications like prevention, diagnosis, and treatment. However, because of their diversity and variability in appearance, manually classifying bacteria is difficult and time-consuming. This work suggests employing deep learning architecture to automatically categorize bacterial species in order to overcome these difficulties and raise the accuracy of bacterial species recognition. We have evaluated our suggested approach using the Digital Images of Bacteria Species (DIBaS), a publicly accessible resource of photographs of tiny bacteria. This work uses a dataset that differs in terms of bacterial morphology, staining methods, and imaging circumstances. This paper aims to enhance the accuracy and reduce the computational requirements for Convolutional Neural Networks (CNN) based classification of bacterial species using GoogLeNet and AlexNet to train the models. This paper focuses on employing transfer learning to retrain pre-trained CNN models using a dataset consisting of 2000 images encompassing 12 distinct bacteria species known to be harmful to human health. The concept of transfer learning was utilized to expedite the network's training process and enhance its categorization performance. The results are promising, with the method achieving an accuracy of 98.7% precision, recall of 99.50%, and an F1-score of 99.45% with classifier speed. Furthermore, the proposed bacteria classification approach demonstrated strong performance, irrespective of the size of the training data used. This paper contributes by automating bacterial classification to facilitate faster and more accurate identification of bacterial species, which facilitates the treatment of infections and related diseases, in addition to monitoring public health, and promoting the wise use of antimicrobial drugs. To improve outcomes in the future, researchers can also integrate deep learning techniques with other machine learning methods.