bluuebunny/crossref_metadata_2025_split huggingface dataset:
Grey wolf‐based heuristic methods for accurate parameter extraction to optimize the performance of PV modules
Authors: Celtek Seyit Alperen , Kul Seda , Singla Manish Kumar , Gupta Jyoti , Safaraliev Murodbek , Zeinoddini‐Meymand Hamed 
Published: July 2024

AbstractParameter prediction for PV solar cells plays a crucial role in controlling and optimizing the performance of PV modules. In this study, the parameter prediction of a four‐diode PV model was carried out using the Improved Grey Wolf Optimization (IGWO) algorithm, which builds upon the Grey Wolf Optimization (GWO) algorithm. The parameters required for the four‐diode PV model were optimized based on a predefined objective function. Subsequently, the obtained data were compared with the data from RTCFrance Solar Cell to validate the accuracy and reliability of the optimization results. The evaluation of the optimization results revealed that the Sum Square Error (SSE) values for PSOGWO, AGWOCS, GWOCS, and GWO were 3.96E‐05, while the MSE value for IGWO was 3.6309E‐05. These findings clearly demonstrate that the proposed IGWO algorithm outperforms the other algorithms used in the study, based on the minimized SSE values. This study emphasizes the importance of parameter prediction in optimizing PV performance, and it contributes to thefield by introducing the novel IGWO algorithm for the four‐diode PV model. The algorithm's superior performance, as demonstrated through extensive testing and comparison with existing algorithms, validates its efficacy in accurately predicting the parameters for the PV solar cell model.
Differenzialdiagnostik von benignen Lymphadenopathien in der
Rheumatologie
Authors: Unger Leonore 
Published: July 2024

ZusammenfassungLymphadenopathien sind im praktischen Alltag häufig und für Rheumatologen von
hoher klinischer Relevanz. Viele Autoimmunkrankheiten einschließlich der
Rheumatoiden Arthritis, des Systemischen Lupus erythematodes und des
Sjögren-Syndroms können damit einhergehen. Zur Abgrenzung von Malignomen,
insbesondere von Lymphomen und Infektionen sind eine ausführliche Anamnese, die
Beachtung von Warnzeichen (red flags) und eine gründliche Diagnostik
erforderlich. Das gleichzeitige Vorliegen von Autoimmunerkrankungen und
Infektionen oder auch Autoimmunität und Malignomen kann dabei eine
Herausforderung sein. Neben der klinischen Untersuchung nimmt die
Lymphknotensonographie in der Diagnostik einen hohen Stellenwert ein. Besondere
Bedeutung hat die histologische Beurteilung, die vom vollständig entnommenen
Lymphknoten erfolgen sollte. Für die infektiösen Erkrankungen ist der Erreger-
und Antikörpernachweis von Bedeutung. Extranodale Manifestationen werden mittels
Sonographie, CT- und MRT- Diagnostik oder auch PET-CT erfasst. In dieser
Übersichtsarbeit werden die benignen Differenzialdiagnosen von Lymphadenopathien
dargestellt. Dabei wird auch auf seltene Erkrankungen wie den M. Whipple, die
IgG4-assoziierten Erkrankungen, den M. Castleman und andere eingegangen.
Essen gegen das Vergessen: aktuelle Forschung und Ernährungsempfehlungen zur Demenzprävention
Authors: Schiele Julia , Hanslian Etienne , Scheerbaum Petra 
Published: July 2024

SummaryEine ausgewogene Ernährung kann Demenz-Risikofaktoren wie Übergewicht, Herz-Kreislauf-Erkrankungen oder Diabetes mellitus Typ 2 positiv beeinflussen. Die Studienlage gibt Hinweise darauf, dass bestimmte Ernährungsformen und -gewohnheiten auch dem Entstehen einer Demenzerkrankung vorbeugen können. Empfohlen wird eine vollwertige, pflanzenbasierte Kost mit viel Obst, Gemüse und Vollkornprodukten, wenig verarbeiteten Lebensmitteln, wenig weißem Zucker und idealerweise dem Verzicht auf Alkohol. Untersuchungen zeigen zudem, dass die mediterrane Diät, die DASH-Diät und die daraus hervorgegangene MIND-Diät positive Auswirkungen auf die kognitive Funktion haben.
Phytotherapie bei Demenzsyndrom und leichter kognitiver Störung
Authors: Kraft Karin 
Published: July 2024

SummaryAufgrund der angestiegenen Lebenserwartung ist zukünftig ein weiterer Anstieg des jetzt schon sehr häufig auftretenden Demenzsyndroms und seines Vorstadiums, der leichten kognitiven Störung (MCI), sehr wahrscheinlich. In der aktuellen S3-Leitlinie „Demenzen“ wurden die Empfehlungen zur Diagnostik und Therapie des Demenzsyndroms erheblich überarbeitet und erweitert. Bei leichter bis mittelschwerer Demenz werden wie bisher an 1. Stelle Acetylcholinesterasehemmer (AcH) empfohlen, an 2. Stelle der Ginkgo-biloba-Extrakt EGb 761 in einer Dosis von 240 mg/Tag. Bei MCI empfiehlt die S3-Leitlinie verschiedene nichtpharmakologische Therapiemaßnahmen und rät vom Einsatz von AcH ab. Im vorliegenden Artikel werden die in der S3-Leitlinie empfohlenen sowie die nicht erwähnten, aber durch präklinische und klinische Studien unterstützten Therapieoptionen von Ginkgo-biloba-Extrakt bei MCI bzw. leichtem bis mittelschwerem Demenzsyndrom erläutert.
Umgang mit Demenz mit Gewaltfreier Kommunikation
Authors: Peters Christian 
Published: July 2024

SummaryEine Demenzerkrankung verändert das Leben der Betroffenen und auch das ihrer Angehörigen. Dieser Erfahrungsbericht zeigt, wie Angehörige ihre Partner mithilfe von Gewaltfreier Kommunikation einfühlsam begleiten können.
Senolytika und Senomorphika im Kampf gegen neurodegenerative Erkrankungen
Authors: Gröber Uwe , Friedrichsen Hans-Peter 
Published: July 2024

SummaryIn der Pathobiochemie von Neurodegeneration und Seneszenz spielen genomische Instabilität, Verkürzung der Telomere, epigenetische Mechanismen sowie reaktive Sauerstoff- und Stickstoffspezies eine zentrale Rolle. Seneszente Zellen sind charakteristisch für die Alterung. Sie regulieren antiapoptotische Signalwege und verhindern so Absterben und Elimination von Zellen mit Läsionen an DNA und Zellorganellen. In der Altersforschung stehen Senolytika im Mittelpunkt, die die Apoptose oder die Lyse seneszenter Zellen induzieren und zudem neuroprotektiv wirken. Das senolytischeFlavonolFisetin kommt in verschiedenen Obst- und Gemüsesorten vor und kann seit 1904 synthetisiert werden. Es schützt Nervenzellen vor Neurotoxizität, Inflammation und apoptotischer Degeneration; die Wirkung muss noch durch weitere Studien belegt werden. Auch Senomorphika wie Metformin werden zur Unterdrückung der Seneszenz eingesetzt.
Posterior Fossa Ependymoma in a Child with Extensive Chondro-Osseous Metaplasia Occurring at Cerebellopontine Angle and Masquerading as a Vestibular Schwannoma: An Exceptionally Rare Clinicopathological Manifestation with Review of Literature
Authors: Malik Shaivy , Samanta Siddhartha Sankar , Kolte Sachin 
Published: July 2024

AbstractEpendymoma occurring at the cerebellopontine (CP) angle is an extremely uncommon sight and poses diagnostic and management dilemmas to neurosurgeons, radiologists, and neuropathologists alike. Moreover, the presence of extensive chondro-osseous metaplastic elements in ependymomas is an exceptionally infrequent histopathological manifestation. However, due to the seldom-seen nature of this histomorphological feature, there is no definite consensus regarding its etiopathogenesis and clinical consequences, and there is an extreme scarcity of literature elucidating its clinicopathological spectrum and prognostic significance. Herein, we illustrate an intriguing clinical tale of a 7-year-old male child with posterior fossa ependymoma, central nervous system (CNS) World Health Organization (WHO) grade 3, arising at the right CP angle and masquerading as a vestibular schwannoma, which in itself is a rare presentation, and additionally, exhibiting extensive chondro-osseous metaplasia, which is a very uncommon histomorphological observation. To the best of the authors' knowledge and after a comprehensive literature search, the coexistence of these two rare observations has merely been described once in international literature. This case sheds light on and highlights the importance of keeping ependymoma as a possible differential while coming across CP angle space-occupying lesions. They should be diligently distinguished from schwannomas and other masqueraders that typically occur at this site, as they have diverse management and follow-up protocols, with varying prognostic outcomes for the patients. Moreover, this case also unravels and details the clinicopathological characteristics of a scarcely described feature of chondro-osseous metaplasia in ependymomas.
Using Electronic Health Record Mortality Data to Promote Goals-of-Care Discussions in Seriously Ill Transferred Patients: A Pilot Study
Authors: Mahendraker Neetu , Gutierrez-Asis Esmeralda , Park Seho , Williams Linda S. , Schleyer Titus , Umberfield Elizabeth E. 
Published: July 2024

Abstract
Background Mortality prediction data may aid in identifying seriously ill transferred patients at high risk of dying and facilitate early goals-of-care discussions (GOCD); however, this is rarely evaluated. We recently developed a model for predicting 30-day inpatient mortality, which may be useful for promoting early GOCD.
Objectives Our objectives were to examine the effects of sharing model-generated mortality risk with hospitalists by assessing (1) if hospitalists agreed with the mortality risk prediction, (2) if they planned to conduct GOCD or consult palliative care within 72 hours of transfer, and (3) if the communication alert affected GOCD timing and other clinical outcomes. We also aimed to measure the association between both the model-generated and hospitalists' stratified risk assessments with patient mortality.
Methods This was a nonrandomized quasi-experimental pilot study with a historical control group. On the second day of hospitalization, the model-generated risk was communicated to the hospitalists. Hospitalists were asked to answer questions via a HIPAA (Health Insurance Portability and Accountability Act)-compliant mobile communication system, and clinical outcomes were extracted via chart review.
Results Eighty-four patients (42 in the control and 42 in the intervention group) were included in this study. Hospitalists agreed that all patients in the intervention group were at risk for inpatient mortality. Hospitalists were more likely to indicate a plan to conduct GOCD in the intervention group (n = 9) compared with the control group (n = 4, p < 0.001). In this subset of patients, GOCD was completed within 72 hours in 78% of intervention patients (n = 7) as compared with 50% in the control group (n = 2). The greater absolute value of the model-generated mortality risk was significantly associated with deaths (p = 0.01), similar to the hospitalists' prediction of the mortality risk (p = 0.02).
Conclusion Communicating model-generated mortality risk to hospitalists is a promising approach to promote timely GOCD.
Prediction of Intraoperative Blood Loss during Surgery of Brain Meningiomas
Authors: Eshkuvvatov Gayrat , Asadullayev Ulugbek , Yakubov Jakhongir , Khodjimetov Dilshod , Khasanov Khabibullo 
Published: July 2024

Abstract
Background The utilization of preoperative embolization is a well-established method for reducing intraoperative blood loss during surgery of meningiomas. However, the exact indications and contraindications for this technique remain controversial.
Objective The objective of this study is to determine the indications for preoperative embolization of brain meningiomas.
Materials and Methods A retrospective analysis of 46 patients who underwent surgical resection of intracranial meningioma from 2020 to the end of 2022 was conducted. Preoperative magnetic resonance imaging (MRI) and computed tomography (CT) data were studied to assess their relationship with the volume of intraoperative blood loss.
Results Invasive tumor growth and bone involvement (erosion, hyperostosis) were found to be the most significant factors influencing intraoperative blood loss (p = 0.001).
Conclusion This study clearly demonstrates an association between preoperative imaging data and intraoperative blood loss, which may be useful in predicting massive bleeding during surgery.
Portal Venous Tumor Thrombosis and Visceral Organ Metastasis without Skeletal Involvement in mCRPC: Adverse Prognostic Indicators on Dual Tracer PET/CT and Clinical Outcome after 177Lu-PSMA-617 PRLT and Cabazitaxel Therapy
Authors: Edamadaka Yeshwanth , Parghane Rahul V. , Basu Sandip 
Published: July 2024

AbstractProstate cancer involving visceral organs are occurrences in the later disease course, usually following regional nodal and skeletal involvement, and are refractory to conventional treatment. A 61-year-old male patient presented with locally advanced disease at presentation, which progressed on androgen deprivation therapy and systemic therapy with involvement of the visceral organs (lungs and liver). Portal venous tumor thrombosis involving the right and main branch was also observed on contrast-enhanced computed tomography (CECT) and magnetic resonance imaging (MRI), which showed intense uptake on 68Ga-labeled prostate-specific membrane antigen positron emission tomography/computed tomography (68Ga-PSMA-11 PET/CT) and 18F-fluorodeoxyglucose PET/CT (18F-FDG-PET/CT). Post-177Lu-PSMA-617 radioligand therapy (PRLT) showed mixed response on tumor marker and imaging analysis with survival of 6 months after 177Lu-PSMA radioligand therapy. The high Gleason score, visceral organ metastasis, and increased metabolic activity on FDG were the adverse prognostic factors in the described patient.
The impact of entrepreneurs’ wives participating in corporate management on company risk-taking
Authors: Song Ciji , Yang Yi , Song Zengji 
Published: July 2024

AbstractTo investigate the influence of spouses of business leaders on corporate decision-making behavior, we use data from 2003 to 2019 from Chinese listed family-controlled companies to examine the impact of entrepreneurs’ wives participating in corporate management on the risk-taking of family businesses. We found that entrepreneurs’ wives participating in company management significantly reduce the risk taking of family businesses, particularly when the wife is a shareholder in the company. Additionally, the wife’s age, level of education, and professional experience also affect her attitude and behavior toward participating in company management. When the wife is older and has a higher degree of education, the risk taking of the enterprise decreases. However, the wife’s rich professional experience can mitigate female conservatism and increase the company’s risk taking. Our research has implications for understanding gender differences in the context of the extension of marital power of Chinese entrepreneurs’ wives from the family to corporate decision-making and risk preferences. This helps to deepen our understanding of the role and status of women in China’s family business management.
Weed control, corn safety, and mechanism of the novel herbicide HW-3
Authors: Gao Haitao , Li Xiaole , Yu Jiaxing , Hou Xiuhui , Li Jie , He Hongwu , Dong Liyao 
Published: July 2024

Context HW-3 acts as a pyruvate dehydrogenase herbicide for weed control. However, its biological efficacy against weeds, as well as its safety concerning gramineous crops, remains poorly understood. Aims The objectives of this study were to determine the efficacy of HW-3 against common weeds in corn fields and identify the safety of HW-3 on different cultivars and leaf stages of corn. Methods This study determined the toxicity of HW-3 to common weeds in cornfields under greenhouse conditions through whole plant bioassay. The study also determined the mechanism of action and selectivity principle of HW-3 through in vitro enzyme activity measurements. Key results When HW-3 was applied at 150 g of active ingredient ha−1, the fresh weight inhibition rates of the broad-leaved weeds Eclipta prostrata, Ludwigia prostrata, Ammannia baccifera, Ammannia auriculata, Amaranthus retroflexus, Portulaca oleracea, Abutilon theophrasti, and Cyperus rotundus in the corn field were all above 90%. The selectivity indices of HW-3 in common corn, sweet corn, and glutinous corn were 4.29, 4.22, and 4.98, respectively, indicating the safety of HW-3 across different corn types. The concentration causing 50% inhibition (IC50 value) of pyruvate dehydrogenase activity in A. theophrasti treated with HW-3 was 287.94 mg L−1, and the IC50 value of PDH activity in corn was much greater than 1000 mg L−1. This indicates that HW-3 is a selective pyruvate dehydrogenase inhibitor. Conclusions HW-3 has potential use for the control of broad-leaved weeds in cornfields and is safe for different types and leaf stages of corn. Implications This research provides a reference for the commercial application of HW-3.
2-D DOA Estimation of Coherent Signals Using the Dual-Size Spreading Array
Authors: Li Yang-Mei , Cai Bo 
Published: July 2024

Abstract
We introduce a novel approach for high-precision estimation of two-dimensional (2-D) Direction-of-Arrival (DOA) under conditions of coherent interference. This study innovatively devises an antenna configuration, termed the Dual-Size Spreading Array, specifically tailored to estimate DOAs in such environments. The method involves integrating a subarray with the primary array to create a Dual-Size Extended Array structure. This integration allows for a transformation of the covariance matrix into a new form, where its rank solely depends on the number of impinging waves. Both the subarray and primary array must have a scale no less than the number of incoming wavefronts. This proposed technique not only amplifies the effective aperture but also significantly reduces the computational intricacy associated with DOA estimation procedures. The efficacy of our methodology has been substantiated through simulation results, which demonstrate that it outperforms the conventional spatial smoothing techniques. Moreover, we provide several practical guidelines designed to enhance estimation accuracy while concurrently minimizing computational demands. In summary, this research presents an advanced solution that effectively addresses challenges in 2D DOA estimation under coherent scenarios, achieving improved performance and computational efficiency compared to existing methods.
Research on failure rate evaluation test method of energy meter in charging pile
Authors: Wang Chong , Wang Yue , Li Zhenxiang , Zhang Weixin 
Published: July 2024

Abstract
To verify the failure rate of intelligent energy meter in charging pile and whether it can meet the reliability requirements in “general technical specification for single-phase intelligent electric energy meter (2020)”. Take 20 smart meter samples from four manufacturers, use the accelerated life model and carry out the accelerated test in the way of stress acceleration for a total of 4000 hours, and evaluate the failure rate indicators under normal working stress. The test results show that the single-phase intelligent watt hour meters produced by the four manufacturers can meet the reliability requirements such as annual failure rate index. The accelerated test theory is applied to the reliability life and failure rate evaluation of intelligent electric energy meter to shorten the test time, improve the test efficiency and reduce the test cost.
Research on Multi-scale Photovoltaic Output Prediction Method Based on GAN-Informer
Authors: Zhang Hanlin , Tang Zheng , Zheng Haowei , Wang Kai 
Published: July 2024

Abstract
The challenge of predicting photovoltaic power (PV) output is addressed in this paper, with a particular focus on enhancing prediction accuracy. A novel multi-scale prediction method for PV output is introduced, based on the integration of Generative Adversarial Networks (GANs) with the Informer model. The study’s content revolves around the leveraging of GANs for feature extraction and the development of the GAN-Informer model to forecast PV power outputs in national grid systems. Empirical investigations were conducted to validate the superior performance of the model. The outcomes reveal that the GAN-Informer model excels in ultra-short-term predictions, achieving the highest accuracy at a 15-minute scale with a mean squared error predominantly below 0.05, and a 1-hour prediction accuracy of 0.9728. These findings significantly contribute to improving PV energy utilization efficiency and promoting sustainable development.
Defect recognition of photovoltaic panels based on adaptive dimensional feature aggregation convolutional neural network
Authors: Qin Dai , Yingcai Gao , Hongjiang Wang , Qingze Shen 
Published: July 2024

Abstract
Under the policy framework of achieving carbon neutrality goals and addressing climate change, the importance of photovoltaic power generation will become more prominent, therefore the detection of defects in photovoltaic panels will become increasingly important. In order to accurately detect defects in photovoltaic panels, this paper proposes an adaptive dimensional feature aggregation algorithm that combines Deformable Convolutional (DCN) and C3 convolutional layers to form C3_ DCN module enhances the generalization ability of convolutional kernels; By incorporating the Cross Modal Transformer Attention Mechanism (CoTAttention) and Context Enhancement Module (CAM) at the output end, the model has the ability to adaptively allocate computing resources and enhance the ability to detect small targets; Using Focal EIoU as the loss function reduces the slow convergence speed and inaccurate results of known box regression methods. The experimental results show that for the PVEL-AD industrial detection dataset, the improved model has an average accuracy of 91.8%, which is 1.5% higher than the original model.
Design of bifunctional composite bone age prediction network based on Swin-Transformer
Authors: Zhiling Qian , Yuhao Yuan 
Published: July 2024

Abstract
Bone age can be predicted by taking hand X-rays. Prediction of bone age is a labor-intensive and time-consuming radiological clinical task. This paper combined a series of prevailing deep learning methods to address this problem. Stages1~3 of Swin Transformer served as backbone, with the multi-scale neck network and detection head of Yolox connected to it. These formed the first period’s hand bone joints detector. After finishing detector training, the pre-trained Stages1~3 were frozen for the second period’s developmental grades classification of corresponding bone joint. Additionally, a linear classification head was attached to Swin Transformer’s stage4, where it functioned as second period’s classifier for different developmental grades. Therefore, a dual-purpose composite network was created like this. It made the bone age prediction model have high integrated level, and the two periods could be applied fusion training. In addition, different attention mechanisms were introduced at different positions, loss functions and optimization methods were also redesigned to ensure improvement of network performance. In the hand bone joints detection period, compared to the original Yolox-X, there was a 5.27% increase in Ap@50 and a 40.12% increase in Ap@50:95. As for the developmental grade classification period, the validation accuracy surpassed that of EfficientNetV2-L by 5.18%, with one-third the training size.