bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of histopathologic analysis and tissue cultures on inpatient management of cellulitis: a randomized control trial
Authors: Lause Michael , Hansen Emma , Libson Karissa , Pettit Cory , Himed Sonia , Rismiller Kyle P. , Huff Sara , Korman Abraham M. , Blaszczak Alecia M. , Hsueh Willa , Milani-Nejad Nima , Kofmehl Leah , Hebert Courtney , Caterino Jeffrey M. , Wang Henry E. , Yildiz Vedat , Trinidad John C. , Chung Catherine G. , Kaffenberger Benjamin H. 
Published: July 2024

AbstractBackground: In the absence of a gold-standard diagnostic modality for cellulitis, sterile inflammatory disorders may be misdiagnosed as cellulitis. Objective: To determine the utility of skin biopsy and tissue culture for the diagnosis and management of patients admitted with a diagnosis of presumed cellulitis. Design: Pilot single-blind parallel group randomized controlled clinical trial in 56 patients with a primary diagnosis of presumed cellulitis. In the intervention group only, skin biopsy and tissue culture results were made available to the primary care team to guide diagnosis and management. Length of hospital stay and antibiotic use were evaluated as outcome measures. Results: Length of stay showed the greatest opportunity for further study as a primary outcome (intervention: 4, IQR (2–6) vs. control: 5 IQR (3–8) days; p = 0.124). Limitations: The COVID-19 pandemic placed limitations on participant enrollment and study duration; in addition, data was collected from a single medical center. Conclusion: This study demonstrates that length of stay and anti-pseudomonal antibiotic de-escalation are endpoints that may be influenced by biopsy and tissue culture results in presumed cellulitis patients; these outcomes warrant further study.
Detection of demodex mites in papulopustular rosacea using microscopic examination and polymerase chain reaction: a comparative case-control study
Authors: Trave Ilaria , Salvi Ilaria , Canepa Paola , Parodi Aurora , Cozzani Emanuele 
Published: July 2024

AbstractDemodex mite proliferation is frequently involved in the pathogenesis of rosacea. The gold standard for Demodex identification is microscopic examination on a standardized skin surface biopsy. However, this method of sampling can be distressing and painful, especially when performed on hairy sites. In this case-control study, we compared the sensitivity of PCR and microscopic examination in diagnosing a Demodex infestation. Moreover, we investigated the possible correlations between the presence of Demodex mites and clinical characteristics. In total, 20 patients affected by papulopustular rosacea and 10 controls were included. At both microscopic examination and PCR, patients with rosacea presented a greater prevalence of positive samples than controls at the scalp and at the face. Microscopy had sensitivity of 50% at the face and of 46.7% at the scalp. PCR had sensitivity of 93.75% at the face and of 86.7% at the scalp. The positivity of PCR was associated to a higher frequency of facial papules and pustules. Patients with positivity at the face had a more frequent positivity at the scalp. The scalp could represent a reservoir for the Demodex mites, and should be investigated by sensitive and painless methods. PCR performed on painlessly collected samples should be further investigated.
Squamous cell carcinoma of the nasal vestibule: a diagnostic and therapeutic challenge
Authors: Testa Gabriele , Mattavelli D. , Rampinelli V. , Conti C. , Piazza C. 
Published: July 2024

AbstractNasal vestibule squamous cell carcinoma (NVSCC) is an exceedingly rare malignancy, often misclassified due to its anatomical location and lack of a standardized definition. This review aims to consolidate current evidence on NVSCC, focusing on epidemiology, risk factors, classification, clinical presentation, treatment modalities, and prognostic factors. The NV anatomy is delineated, emphasizing the need for a clear definition to avoid misclassification. Risk factors include smoking, sunlight exposure, and debated associations with chalk exposure or viral factors. Clinical presentation includes symptoms like nasal obstruction, pain, burning, and bleeding, often misdiagnosed as inflammatory conditions. NVSCC exhibits distinct local spread patterns along cartilaginous surfaces, with the facial and submandibular lymph nodes at higher metastatic risk. Current classifications lack consensus, hindering comparison of outcomes. Treatment varies, with surgery or radiotherapy for early-stage tumors and multimodality approaches for advanced cases. The choice between surgery and radiotherapy is debated, with potential advantages and drawbacks for each. Radiotherapy, especially with Interventional RadioTherapy (IRT, previously known as brachytherapy), is gaining prominence, showing promising outcomes in terms of local control and cosmetic results. Prophylactic neck treatment remains controversial, with indications based on tumor characteristics. Prognostic factors include T classification, tumor size, surgical margins, nodal involvement, and histological features. Long-term survival rates range widely, emphasizing the need for further studies to refine management strategies for this rare malignancy. In conclusion, NVSCC poses diagnostic and therapeutic challenges, warranting multidisciplinary approaches and continued research efforts to optimize patient outcomes.
Exploring tonsillar cancer associations in patients with base of tongue cancer: insights from a single-center study
Authors: Udholm Sebastian , Sannino-Greve Nina B. , Klug Tejs Ehlers 
Published: July 2024

Abstract
Purpose
To explore the prevalence of synchronous and metachronous tonsillar cancer in patients with base of tongue cancer, as well as identifying potential risk factors linked to these secondary malignancies. We aim to answer the following question: Should bilateral tonsillectomy be recommended to patients diagnosed with base of tongue cancer?

Methods
A case-series study was conducted at Aarhus University Hospital, including all patients with histologically confirmed base of tongue squamous cell carcinoma treated between January 2012 and December 2021. Data from electronic patient records, including diagnosis of prior, synchronous or metachronous tonsillar cancer, demographics, and clinical features were analysed. Fisher’s exact test was performed to assess factors associated with synchronous and metachronous tonsillar cancer.

Results
Among 198 patients with base of tongue cancer, 5.6% had a history of tonsillar cancer, either prior to (4.5%), synchronous (0.5%), or metachronous (0.5%) to the base of tongue diagnosis. The prevalence of synchronous or metachronous tonsillar cancer among patients without previous bilateral tonsillectomy was 1.2%. Patients with tonsillar cancer were older, had heavier smoking histories, and exhibited less frequent P16-overexpression.

Conclusion
Our findings deepen understanding of tonsillar cancer in patients with base of tongue cancer. The prevalence of synchronous or metachronous tonsillar cancer was found to be relatively low, suggesting that routine tonsillectomy for all base of tongue cancer patients is not warranted.
The central oxytocinergic system of the prairie vole
Authors: Ramos E. N. , Jiron G. M. , Danoff J. S. , Anderson Z. , Carter C. S. , Perkeybile A. M. , Connelly J. J. , Erisir A. 
Published: July 2024

AbstractOxytocin (OXT) is a peptide hormone and a neuropeptide that regulates various peripheral physiological processes and modulates behavioral responses in the central nervous system. While the humoral release occurs from the axons arriving at the median eminence, the neuropeptide is also released from oxytocinergic cell axons in various brain structures that contain its receptor, and from their dendrites in hypothalamic nuclei and potentially into the cerebrospinal fluid (CSF). Understanding oxytocin’s complex functions requires the knowledge on patterns of oxytocinergic projections in relationship to its receptor (OXTR). This study provides the first comprehensive examination of the oxytocinergic system in the prairie vole (Microtus ochrogaster), an animal exhibiting social behaviors that mirror human social behaviors linked to oxytocinergic functioning. Using light and electron microscopy, we characterized the neuroanatomy of the oxytocinergic system in this species. OXT+ cell bodies were found primarily in the hypothalamus, and axons were densest in subcortical regions. Examination of the OXT+ fibers and their relationship to oxytocin receptor transcripts (Oxtr) revealed that except for some subcortical structures, the presence of axons was not correlated with the amount of Oxtr across the brain. Of particular interest, the cerebral cortex that had high expression of Oxtr transcripts contained little to no fibers. Electron microscopy is used to quantify dense cored vesicles (DCV) in OXT+ axons and to identify potential axonal release sites. The ependymal cells that line the ventricles were frequently permissive of DCV-containing OXT+ dendrites reaching the third ventricle. Our results highlight a mechanism in which oxytocin is released directly into the ventricles and circulates throughout the ventricular system, may serve as the primary source for oxytocin that binds to OXTR in the cerebral cortex.
Esophageal impedance planimetry during per-oral endoscopic myotomy guides myotomy extent
Authors: Kara Ali M. , Haas A. J. , Alkhatib Hemasat , DeCicco Jamie , Semanate Ramiro Cadena , Kim Hee Kyung , Prasad Rachna , Bardaro Sergio , Dorsey Amelia , El-Hayek Kevin 
Published: July 2024

Abstract
Introduction
Peroral endoscopic myotomy (POEM) is the standard treatment for achalasia. Functional luminal imaging probe (FLIP) technology enables objective measurement of lower esophageal sphincter (LES) geometry, with literature linking specific values to improved post-POEM outcomes. Our study assesses FLIP’s intraoperative use in evaluating myotomy extent in real-time.

Methods
Retrospective data from all patients undergoing POEM with intraoperative FLIP measurements were extracted from June 2020 to January 2023. The primary endpoint was intraoperative FLIP measurements, management changes, and symptom improvement (Eckardt score).

Results
Fourteen patients (age 56 ± 14 years, BMI 28 ± 7 kg/m2) were identified. Most patients were female (64%). Predominantly, patients presented with type II achalasia (50%). FLIP measurements were taken before and after myotomy, demonstrating increases in mean distensibility index (DI) 1.6 ± 1. 4 to 5.4 ± 2.1 mm2/mmHg (p < 0.05) and mean diameter (Dmin) 6 ± 1.8 to 10.9 ± 2.3 mm (p < 0.05) at 50 ml balloon fill. Additional myotomy was performed in one patient when an inadequate increase in FLIP values were noted. Mean operative time was 98 ± 28 min, and there were no intraoperative complications. At the 30-day follow-up, median Eckardt score decreased from mean a preoperative score of 7 ± 2 to a post-operative mean of 2 ± 3, with 10 patients (78%) having a score ≤ 2. In total, four patients experienced symptom recurrence, with repeat FLIP values revealing a significant decrease in DI from 7 ± 2.2 post-POEM to 2.5 ± 1.5 at recurrence. FLIP technology identified LES pathology in 3 out of 4 (75%) patients, facilitating referral to LES-directed therapy.

Conclusion
Our study adds to the literature supporting the use of FLIP technology during the POEM procedure, with most patients achieving ideal values after a standard-length myotomy. This suggests the potential benefits of shorter myotomies guided by FLIP to achieve comparable outcomes and reduce postoperative GERD risk. Collaborative standardization of study designs and outcome measures is crucial for facilitating prospective trials and cross-setting outcome comparisons.

Graphical abstract
A modified Runge–Kutta optimization for optimal photovoltaic and battery storage allocation under uncertainty and load variation
Authors: Selim Ali , Kamel Salah , Houssein Essam H. , Jurado Francisco , Hashim Fatma A. 
Published: July 2024

AbstractThe interest in incorporating environmentally friendly and renewable sources of energy, like photovoltaic (PV) technology, into electricity grids has grown significantly. These sources offer benefits, such as reduced power losses and improved voltage stability. To optimize these advantages, it is essential to determine optimal placement and management of these energy resources. This paper proposes an Improved RUNge–Kutta optimizer (IRUN) for allocating PV-based distributed generations (DGs) and Battery Energy Storage (BES) in distribution networks. IRUN utilizes three strategies to avoid local optima and enhance exploration and exploitation phases: a non-linear operator for smoother transitions, a Chaotic Local Search for thorough exploration, and diverse solution updates for refinement. The efficacy of IRUN is evaluated using 10 benchmark functions from the CEC’20 test suite, followed by statistical analysis. Next, IRUN is used to optimize the allocation of PVDG and BES to minimize energy losses in two standard IEEE distribution networks. The optimization problem is divided into two stages. In the first stage, the optimal size and the location of PV systems are calculated to meet peak load demand. In the second stage, considering time-varying load demand and intermittent PV generation, effective energy management of BES is employed. The effectiveness of IRUN is compared against the original RUN and other well-known optimization algorithms through simulation results. The comprehensive analysis demonstrates that IRUN outperforms the compared algorithms, making it a leading solution for optimizing PV distributed generation and BES allocation in distribution networks and the results show that the energy loss reduction reaches 63.54% and 68.19% when using PVand BES in IEEE 33-bus and IEEE 69 bus respectively.
Deep learning and feature fusion-based lung sound recognition model to diagnoses the respiratory diseases
Authors: Shehab Sara A. , Mohammed Kamel K. , Darwish Ashraf , Hassanien Aboul Ella 
Published: July 2024

AbstractThis paper proposed a novel approach for detecting lung sound disorders using deep learning feature fusion. The lung sound dataset are oversampled and converted into spectrogram images. Then, extracting deep features from CNN architectures, which are pre-trained on large-scale image datasets. These deep features capture rich representations of spectrogram images from the input signals, allowing for a comprehensive analysis of lung disorders. Next, a fusion technique is employed to combine the extracted features from multiple CNN architectures totlaly 8064 feature. This fusion process enhances the discriminative power of the features, facilitating more accurate and robust detection of lung disorders. To further improve the detection performance, an improved CNN Architecture is employed. To evaluate the effectiveness of the proposed approach, an experiments conducted on a large dataset of lung disorder signals. The results demonstrate that the deep feature fusion from different CNN architectures, combined with different CNN Layers, achieves superior performance in lung disorder detection. Compared to individual CNN architectures, the proposed approach achieves higher accuracy, sensitivity, and specificity, effectively reducing false negatives and false positives. The proposed model achieves 96.03% accuracy, 96.53% Sensitivity, 99.424% specificity, 96.52% precision, and 96.50% F1 Score when predicting lung diseases from sound files. This approach has the potential to assist healthcare professionals in the early detection and diagnosis of lung disorders, ultimately leading to improved patient outcomes and enhanced healthcare practices.
An efficient decoder for size optimization of trusses with automatic member grouping
Authors: Toklu Y. C. , Ozbasaran H. 
Published: July 2024

AbstractThis paper presents an efficient decoding method (namely SORTED decoding) for the de facto encoding in size optimization of trusses with automatic member grouping. The efficiency of the proposed method is evaluated through numerical experiments driven by two metaheuristic algorithms of different search mechanisms: Colliding Bodies Optimization and Jaya Algorithm. The first group of experiments show that the SORTED decoding method significantly outperforms the de facto and the two other decoding methods introduced in this study (ACCUMULATED and SORTED-ACCUMULATED) in terms of solution quality; moreover, the authors proved that the superiority of the SORTED decoding is not algorithm-dependent. Considerably better member-grouping configurations that provide up to 15% material economy are discovered for some of the well-known pre-grouped benchmark problems in the second group of experiments; surprisingly, the worst member-grouping configuration discovered by the SORTED decoding for one of the problems is better than that of the pre-grouped version.
Wirtschaftlichkeitsanalyse von Batteriespeichern im 110-kV-Netz
Authors: Stöckl Benjamin , Klatzer Thomas , Scheiber Gerhild , Froschauer Alexandra , Wogrin Sonja 
Published: July 2024

ZusammenfassungDie Dekarbonisierung des Elektrizitätssektors in Österreich bis 2030 erfordert den verstärkten Ausbau Erneuerbarer Energien, während gleichzeitig die Netze angepasst werden müssen, um zusätzliche Erzeugungsleistung zu integrieren. Aufgrund der langen Projektlaufzeiten des Netzausbaus können Energiespeicher, insbesondere Batteriespeicher, kurzfristig zusätzliche Netzkapazitäten schaffen und den Bedarf an Leitungskapazität vorerst reduzieren. Diese Arbeit untersucht, ob der Einsatz von Batteriespeichern im Jahr 2030 im Sinne der Gesamtsystemkosten-Minimierung möglich ist. Dazu werden verschiedene Fallstudien in einem Abschnitt des 110-kV-Netzes in Oberösterreich im Low-carbon Expansion Generation Optimization Model untersucht, um den Einfluss von Flexibilitätsoptionen in Elektrizitätssystemen und der techno-ökonomischen Parameter der Speicher auf den Einsatz dieser zu ermitteln. Die daraus resultierenden Ergebnisse legen für das Jahr 2030 einen möglichen wirtschaftlichen Einsatz der Speicher nahe, jedoch wird das Potenzial zum Aufschub des Netzausbaus als gering eingeschätzt, da die Investition in Leitungen üblicherweise die kostenoptimale Option darstellt. Allerdings zeigt sich, dass Batteriespeicher eine Möglichkeit bieten, Flexibilität in Elektrizitätssystemen wirtschaftlich bereitzustellen, wenn andere Varianten (Im- und Exporte, Photovoltaik-Abregelung) nur eingeschränkt verfügbar sind.
Comparison of neural FEM and neural operator methods for applications in solid mechanics
Authors: Hildebrand Stefan , Klinge Sandra 
Published: July 2024

AbstractMachine learning methods are progressively investigated for a large amount of applications. Recently, the solution of partial differential equations (PDE) describing problems in elastostatics came into focus. The current work investigates two neural network-based classes of methods for their solution, namely the neural finite element method (FEM) and neural operator methods. The analysis of these approaches is carried out by means of numerical experiments with linear and nonlinear material behavior where the conventional FEM serves as a benchmark. The formulation of neural FEM allows for elegant integration of finite deformation hyperelasticity at medium training effort. Here, training data are replaced by the evaluation of the equilibrium PDE at sample points. In contrast, most neural operator methods require expensive training with large data sets, but then allow for solving multiple boundary value problems with the same machine learning model. For the comparative analysis, the maximal relative error values over the whole domain and over all components of the strain tensor are evaluated as accuracy measure. The current state of research shows that none of the methods investigated reaches the accuracy and computational performance of the conventional FEM. In many standard applications, the FEM achieves an accuracy of $$10^{-6}$$

10

-
6

, whereas the numerical tests in the present work report a relative error of order of magnitude of $$10^{-4}$$

10

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4

for the neural FEM and $$10^{-2}$$

10

-
2

to $$10^{-3}$$

10

-
3

for neural operator methods.
Analysis of rescue strategies for acute thrombosis during STA-MCA bypass surgery and the literature review
Authors: Xu Haitao , Ni Haojin , Zhou Chenhui , Wang Xinwen , Wei Jie , Qian Tiansheng , Dai Zifeng , Lan Wenting , Wu Xin , Yu Jiacheng , Li Xianru , Gao Xiang , Xu Bin , Lin Jinghui 
Published: July 2024

Abstract

Background and objectives
STA-MCA bypass surgery is mainly used for Moyamoya disease, giant intracranial aneurysms, and resection of intracranial tumors requiring sacrifice of blood vessels. The intraoperative patency of the reconstructive vessels is critical to the efficacy of the procedure. This study aimed to evaluate the efficacy of intra-arterially infused tirofiban for the treatment of acute thrombosis during STA-MCA bypass surgery and countermeasures for acute thrombosis.

Methods
This study involved 209 patients (272 hemispheres) who underwent STA-MCA surgery between November 2020 and December 2023. Intraoperative acute thrombosis occurred in eight patients (3.83%,8 hemispheres). We retrospectively reviewed the clinical and imaging data, surgical procedure, and follow-up outcomes of eight patients. We implemented the different thrombolytic methods to evaluate the optimal thrombosis management during the bypass surgery. After three months, we assessed neurological functions using the modified Rankin Scale (mRS) and conducted a literature review using PubMed.

Results
Eight patients (four male patients and four female patients) developed acute thrombosis during the bypass surgery. Of the eight patients, two underwent re-anastomosis after thrombus removal, three received local injections of tirofiban into the anastomosis or the branches of the superficial temporal artery, and three underwent superselective intra-arterial tirofiban infusion using a microcatheter. Thrombosis were resolved, and arteries were recanalized in all patients. The mRS score was 0 in all patients. No major ischemic or hemorrhagic complications occurred.

Conclusion
Our treatment methods were efficacious in the management of acute thrombosis. Intra-arterial tirofiban administration seems to be a simple and effective treatment option for acute thrombosis during STA-MCA bypass surgery.
Multidisciplinary care in Parkinson’s disease
Authors: Weise David , Claus Inga , Dresel Christian , Kalbe Elke , Liepelt-Scarfone Inga , Lorenzl Stefan , Redecker Christoph , Urban Peter P. 
Published: July 2024

AbstractParkinson’s Disease (PD) is a multifaceted and progressive disorder characterized by a diverse range of motor and non-motor symptoms. The complexity of PD necessitates a multidisciplinary approach to manage both motor symptoms, such as bradykinesia, gait disturbances and falls, and non-motor symptoms, including cognitive dysfunction, sleep disturbances, and mood disorders, which significantly affect patients’ quality of life. Pharmacotherapy, particularly dopaminergic replacement therapy, has advanced to alleviate many symptoms. However, these medications can also induce side effects or aggravate symptoms like hallucinations or orthostatic dysfunction, highlighting the need for comprehensive patient management. The optimal care for PD patients involves a team of specialists, including neurologists, physical and occupational therapists, speech-language pathologists, psychologists, and other medical professionals, to address the complex and individualized needs of each patient. Here, we illustrate the necessity of such a multidisciplinary approach in four illustrative PD cases with different disease stages and motor and non-motor complications. The patients were treated in different treatment settings (specialized outpatient clinic, day clinic, inpatient care including neurorehabilitation). The biggest challenge lies in organizing and implementing such comprehensive care effectively across different clinical settings.