bluuebunny/crossref_metadata_2025_split huggingface dataset:
Posterior Retroperitoneal versus Transperitoneal Laparoscopic Adrenalectomy in Adults: Results from the EUROCRINE ® Surgical Registry
Authors: Heede Klaas Van Den , Vatansever Safa , Girgin Tolga , Slycke Sam Van , Makay Özer 
Published: November 2022

Abstract
Purpose
This study aims to compare posterior retroperitoneal laparoscopic adrenalectomy (PRLA) and laparoscopic transperitoneal adrenalectomy (LTA) in adults using pan-European data as conflicting results have been published regarding length of hospital stay, institutional volume, and morbidity.
Methods
This retrospective cohort study analyzed data from the surgical registry EUROCRINE®. All patients undergoing PRLA and TLA for adrenal tumours and registered between 2015 and 2020 were included and compared for morbidity, length of hospital stay, and conversion to open surgery.
Results
A total of 2,660 patients from 11 different countries and 69 different hospitals were analyzed and 1,696 LTA were compared to 964 PRLA. Length of hospital stay was shorter after RPLA, with less patients (N=434, 45.5%, vs N=1094, 65.0%, p<0.001) staying more than 2 days. In total, 96 patients (3.6%) developed a complication Clavien-Dindo grade 2 or higher. No statistical difference was found between both study groups. After propensity score matching, length of hospital stay was shorter after PRLA (>2 days 45.2% vs 63.0%, p<0.001). After multivariable logistic regression, factors associated with morbidity were age (OR 1.03), male sex (OR 1.52), and conversion to open surgery (OR 5.73).
Conclusion
This study presents the largest retrospective observational analysis comparing LTA and PRLA. Our findings confirm the shorter length of hospital stay after PRLA. Both techniques are safe leading to comparable morbidity and conversion rates.
Multilevel Optimum Design of Double Rotor Brushless Flux-Switching Permanent Magnet Motor
Authors: Shirzad Ehsan , Shirzad Mohammad taghi 
Published: November 2022

Abstract
This paper proposes a brushless double mechanical port flux-switching permanent magnet motor (BDMPFSPMM) that this motor is used in fields of high power and hybrid electrical vehicles. In design of this motor is studied the purposes in order to useful and optimum motor design that this is dependent to choice of suitable design variables. Design purposes are maximum mean of torque for inner motor and outer motor and minimum ripple of torque for both of them, for realization this purposes is used genetic algorithm, so that, firstly for setting upper and lower band for all of variable parameters is used sensitive analysis then is used genetic algorithm to solve this problem. All of works is done with Maxwell software used Finite element method (FEM).
Dynamic Mechanism of Technology Innovation in Enterprise Based on Edge Cloud Computing Technology
Authors: Li Sicong , Cheng Zhiyu 
Published: November 2022

Abstract
With the rapid expansion of artificial intelligence and information technology, improving the technological innovation ability of enterprises is an important means to enhance their competitiveness in the capital market. As a vital driving force leading economic development, enterprise technological innovation can further promote the improvement of production efficiency and change the mode of economic growth while promoting the liberalization of international trade. In addition, the neural network model in the field of deep learning (DL) has significant application value in guiding the flow of enterprise funds and innovation. Therefore, according to the Back Propagation neural network (BPNN) model in DL, the problems of enterprise technological innovation and industrial structure reform from the theoretical level are explored. And each constituent element of the enterprise's technological innovation and dynamic mechanism, and the interaction between the elements are deeply studied. At the same time, based on the neural network model, through the deployment and architecture of the edge computing server, the delay of network data transmission is reduced. Through the analysis of different business scenarios of edge cloud computing platforms, the service resources of the base station management platform are optimized, and the transmission speed of the network data of the enterprise communication data system is greatly improved. Since the incentive mechanism model involves government, market, industry, and school, the realization path of the incentive mechanism model is discussed based on these four factors to realize the effective operation of the incentive mechanism. The results manifest that the government and market factors can promote the technological innovation and reform of enterprises, while the industry and school factors have no significant effect on the innovation of enterprises. The research has practical application value for promoting the economic development and technological innovation reform of enterprises. Moreover, the research has a guiding significance for the application of edge cloud computing technology in enterprise technology innovation.
PpSP32, Phlebotomus papatasi immunodominant salivary protein, exerts immunomodulatory effects on human monocytes, macrophages and lymphocytes
Authors: Souissi Cyrine , Marzouki Soumaya , Elbini-Dhouib Ines , Jebali Jed , Oliveira Fabiano , Valenzuela Jesus G. , Sra Najet , Kamhawi shaden , Ahmed Melika Ben 
Published: November 2022

Abstract
Background: The saliva of sand flies, vectors of Leishmaniaparasites,contains several components that exert pharmacological activities facilitating the acquisition of blood by the insect and contribute to the establishment of the infection.Previously, we demonstrated that PpSP32 is the immunodominant salivary antigen in humans exposed to Phlebotomus papatasibites and validated its usefulness as a predictive biomarker of the disease.PpSP32, whose functions are little known to date, is an intriguing protein due to its involvement in the etiopathogenesis of pemphigus, an auto-immune disease. Herein, we aimed to better decipher its role through the screening of several immunomodulatory activities either on lymphocytes or on monocytes/macrophages.
Methods: Peripheral mononuclear cells from healthy volunteers were stimulated with anti-CD3 / anti-CD28 antibodies, phytohemagglutinin, phorbol 12-myristate13-acetate / Ionomycin or lipopolysaccharide in the presence of increasing doses of PpSP32. Cell proliferation was measured after the addition of tritiated thymidine. Monocyte activation was tested by analyzing the expression of CD86 and HLA-DR molecules by flow cytometry. Cytokine production was analyzed in culture supernatants by ELISA. THP-1 derived macrophages were stimulated with LPS in the presence of increasing doses of PpSP32 and cytokine production was analyzed in culture supernatants by ELISA and multiplex technique. The effect of PpSP32 onNF-kB signaling was tested by Western blot. The anti-inflammatory activity of PpSP32 was assessed in vivo in an experimental inflammatory model, the carrageenan-induced paw edema in rats.
Results: Our data showed that PpSP32 down-modulated the expression of activation markers in LPS-stimulated monocytes and THP1-derived macrophages. This protein negatively modulated the secretion of Th1 and Th2 cytokines by human lymphocytes as well as pro-inflammatory cytokines by monocytes, and THP1-derived macrophages. PpSP32 treatment led to a dose-dependent reduction of theIκB phosphorylation. When PpSP32 was injected into the paw of carrageenan-injected rats, edema was significantly reduced.
Conclusions: Our data indicatesthat PpSP32 induces a potent immunomodulatory effect on monocytes and THP-1 derived macrophages. This inhibition could be mediated, among others, by the modulation of the NF-kB signaling pathway. The anti-inflammatory activity of PpSP32 was confirmed in vivo in the carrageenan-induced paw edema model in rats.
BOUNCE: Memory-Efficient SIMD Approach for Lightweight Integer Compression
Authors: Hildebrandt Juliana , Habich Dirk , Lehner Wolfgang 
Published: November 2022

Abstract
Integer compression plays an important role in columnar database systems to reduce the main memory footprint as well as to speedup query processing. To keep the additional computational effort of (de)compression as low as possible, the powerful Single Instruction Multiple Data (SIMD) extensions of modern CPUs are heavily applied. While a scalar compression algorithm usually compresses a block of N consecutive integers, the state-of-the-art SIMDified implementation scales the block size to k · N with k as the number of elements which could be simultaneously processed in an SIMD register. On the one hand, this scaling SIMD approach improves the performance of (de)compression but can lead to a degradation of the compression ratio compared to the scalar variant on the other hand. Within this article, we analyze this degradation effect for various integer compression algorithms and present a novel SIMD concept to overcome that effect. The core idea of our novel SIMD concept called BOUNCE is to concurrently compress k different blocks of size N within SIMD registers, guaranteeing the same compression ratio as scalar variant. As we are going to show, our proposed SIMD idea works well on various Intel CPUs and may offer a new generalized SIMD concept to optimize further algorithms.
Adaptive Update Handling for Graph HTAP
Authors: Jibril Muhammad Attahir , Baumstark Alexander , Sattler Kai-Uwe 
Published: November 2022

Abstract
Hybrid transactional/analytical processing (HTAP) workloads on graph data can significantly benefit from GPU accelerators. However, to exploit the full potential of GPU processing, dedicated graph representations are necessary, which mostly make in-place updates difficult. In this paper, we discuss an approach for adaptive handling of updates in a graph database system for HTAP workloads. We discuss and evaluate strategies for propagating transactional updates from an update-friendly table storage to a GPU-optimized sparse matrix format for analytics.
Dynamic Network Pruning Based on Expectation Scaling Factor
Authors: Sun Chuanmeng , Chen Jiaxin , Ma Tiehua , Li Xinyu , Wei Yu 
Published: November 2022

Abstract
Convolutional neural networks are limited by the large number of floating-point operations (FLOPs) and cannot be easily ported to edge devices. Popular pruning methods formulate a fixed pruning strategy with the assistance of the intrinsic attributes of the model, ignoring of the effect of the dataset on the pruning results. This study introduces the expectation scaling factor (δE) as the zero-order attribute of the channel, which reflects the expectation changing of the channel on the pixel distribution of the image dataset. This attribute establishes a connection between the input and output of the convolutional layer and reflects the overall information of the channels. Then, during the fine-tuning, we formulate a pruning strategy by observing the changes in δE to improve the adaptability of the pruned model to a specific dataset, and call this method DExp. Extensive experiments on representative image classification tasks reveal that DExp outper-forms mainstream methods. For example, with DExp, on CIFAR-10, the FLOPs of ResNet-56 are reduce by 53.99%, and the accuracy improved by 0.38%; on ILSVRC-2012, the FLOPs of ResNet-50 are reduced by 58.43%, and the Top-1 accuracy only loses by 1.15%. The code is available at: https://github.com/EXP-Pruning/DExp pruning.
Extracapsular Extension of Transitional Zone Prostate Cancer Miss-detected by multiparametric magnetic resonance imaging
Authors: Chen Xin , Li Wei , Yang Jiajian , Huang Chen , Zhou Chenchao , Chen Yongchang , Lin Yuxin , Hou Jianquan , Huang Yuhua , Wei Xuedong 
Published: November 2022

Abstract
Objectives
To demonstrate the importance of extracapsular extension (ECE) of transitional zone (TZ) prostate cancer (PCa), examine the causes of its missed detection by Mp-MRI, and develop a new predictive model by integrating multi-level clinical variables.
Materials and Methods
This retrospective study included 304 patients who underwent laparoscopic radical prostatectomy after 12 + X needle transperineal transrectal ultrasound (TRUS)-MRI-guided targeted prostate biopsy from 2018 to 2021 in our center was performed.
Results
In this study, the incidence rates of ECE were similar in patients with MRI lesions in the peripheral zone (PZ) and TZ (P = 0.66). However, the missed detection rate was higher in patients with TZ lesions than in those with PZ lesions (P < 0.05). These missed detections result in a higher positive surgical margin rate (P < 0.05). In patients with TZ lesions, detected MP-MRI ECE may have grey areas: the longest diameters of the MRI lesions were 16.5–23.5 mm; MRI lesion volumes were 0.63–2.51 ml; MRI lesion volume ratios were 2.75–8.86%; PSA were 13.85–23.05 ng/ml. LASSO regression was used to construct a clinical prediction model for predicting the risk of ECE in TZ lesions from the perspective of MRI and clinical features, including four variables: the longest diameter of MRI lesions, TZ pseudocapsule invasion, ISUP grading of biopsy pathology, and number of positive biopsy needles.
Conclusions
Patients with MRI lesions in the TZ have the same incidence of ECE as those with lesions in the PZ, but a higher missed detection rate.
Improving the performance status in Advanced non-small cell lung cancer patients with Chemotherapy (ImPACt trial): a phase 2 study
Authors: Pathak Neha , Garg Rakesh , Khurana Sachin , Kumar Sudhir , Kumar Akash , Pushpam Deepam , Khan Maroof Ahmad , Mohan Anant , Pathy Sushmita , Yadav Mukesh , Prasad Chandra Prakash , Malik Prabhat Singh 
Published: November 2022

Abstract
Purpose
This phase II trial is designed to test whether the performance status(PS) of metastatic non-small cell lung cancer(mNSCLC) patients(pts) can improve with chemotherapy if their poor PS(Eastern Cooperative Oncology Group(ECOG)PS of ≥ 2) is due to disease burden rather than comorbidities.
Methods
Age18-65 years, Charlson’s comorbidity index < 9, serum albumin ≥ 3.5g/dl, adequate bone marrow and organ function, & ECOG PS ≥ 2 as judged by the worst score of three independent physicians were administered 3 doses of weekly paclitaxel at 60mg/m2/dose. The primary endpoint was an improvement in ECOG PS by 1 point at 4 weeks; others: toxicity (CTCAE v 5.0), quality of life(QoL)assessment at baseline and 4 weeks by EORTC QLQ-C30 and EORTC QLQ-LC13. Optimal Simon’s 2-stage design was used.
Results
Forty-six patients were included with a median age of 56years(interquartile range, IQR 54–59), 12(26%) had comorbid conditions, and 87% with ECOG PS 3/4. PS improved in 11 pts at 4 weeks and in 7 beyond this time point. Grade 3/4 toxicities are seen in 20%(most common: anemia and diarrhea). At a median follow-up of 4.8m (95% CI: 3.27–14.9), the median progression-free survival & overall survival were 3.3 months (95% CI: 2.36–5.6) & 6.8months (95% CI 2.47–8.8),respectively. QoL improved for global QoL, role functioning, pain, dyspnea, insomnia, pain in chest, pain in other parts, & worsened for alopecia and sore mouth.
Conclusions
Abbreviated chemotherapy is a useful, well-tolerated strategy in carefully selected poor PS mNSCLC patients that can improve PS and QoL. Clinical trial information: CTRI/2020/01/022617.
Wir sind, wir sind zur Stelle – Die Syntax, Semantik und Pragmatik rhetorischer Wiederholungsfiguren: Anadiplose und Geminatio in Gedichten
Authors: Engelberg Stefan 
Published: November 2022

Lexikalische Wiederholungen nehmen in der Lehre von den rhetorischen Stilfiguren viel Raum ein; in der Linguistik des schriftsprachlichen Deutsch spielen sie dagegen kaum ein Rolle. Die Arbeit überprüft, inwieweit sich die Funktionsweise zweier Figuren der meist unmittelbaren Ausdruckswiederholung, der Geminatio und der Anadiplose, auf der Basis von Standardannahmen zur Syntax, Semantik und Pragmatik des Deutschen erklären lässt.
Zugrunde liegt der Arbeit eine Sammlung von über 700 Instanzen der Geminatio und Anadiplose aus deutschsprachigen Gedichten des 17. bis 21. Jahrhunderts. Es wird daran gezeigt, wie die Geminatio unter Ausnutzung von satztopologischen und NP-internen Positionierungen und darauf aufbauenden bedeutungskompositionellen und implikaturenbasierten Prozessen der Bedeutungkonstitution zum ikonischen Ausdruck der Gradierung von Eigenschaften dient. Die Anadiplose wiederum entpuppt sich als Mittel zur Hervorhebung von Themen und Propositionen, die pragmatisch und informationsstrukturell auf ihrer Einbindung in Herausstellungskonstruktionen und Satzverknüpfungen gründet.
Damit liefern die beiden rhetorischen Figuren kaum Argumente für die Abweichungstheorie literarischer Sprache, derzufolge die Sprachverwendung in literarischen und insbesondere lyrischen Texten oft nicht den Regeln und dem Usus des nicht-literarischen Deutsch folgt. Die Funktionsweise der Geminatio und der Anadiplose ist gut in das syntaktische, semantische und pragmatische System des Deutschen eingebunden. Insbesondere die Geminatio zeigt dabei in Gedichten auch deutliche Parallelen zu entsprechenden Phänomenen im gesprochenen Deutsch.
Slyudyankaite, Na28Ca4(Si24Al24O96)(SO4)6(S6)1/3(CO2)·2H2O, a new sodalite-group mineral from the Malo-Bystrinskoe lazurite deposit, Baikal Lake area, Russia
Authors: Sapozhnikov Anatoly N. , Bolotina Nadezhda B. , Chukanov Nikita V. , Shendrik Roman Yu. , Kaneva Ekaterina V. , Vigasina Marina F. , Ivanova Larisa A. , Tauson Vladimir L. , Lipko Sergey V. 
Published: November 2022

Abstract
The new sodalite-group mineral species slyudyankaite, ideally Na28Ca4(Si24Al24O96) (SO4)6(S6)1/3(CO2)·2H2O, was discovered in altered lazurite-bearing metasomatic rock at the Malo-Bystrinskoe gem lazurite deposit, Baikal Lake area, eastern Siberia, Russia. The associated minerals are diopside, calcite, fluorapatite, phlogopite, lazurite, and pyrite. Slyudyankaite forms green to pale blue isolated anhedral equant grains up to 0.5 cm across and their aggregates. The streak is white and the luster is vitreous. Slyudyankaite is brittle, with a Mohs hardness of 5½. Cleavage and parting are not observed. Density measured by flotation in heavy liquids is equal to 2.46(2) g·cm–3. Density, calculated using the empirical formula and unit-cell volume refined from single-crystal XRD data, is 2.454 g·cm–3. Slyudyankaite was characterized using the IR, Raman, ESR, near infrared (NIR), visible (Vis), and ultraviolet (UV) absorption, XPS and photoluminescence spectroscopy methods. The chemical composition is (wt%, electron microprobe, H2O and CO2 determined by selective sorption of ignition products, CO2 confirmed by quantitative IR spectroscopic method, sulfate sulfur determined by wet chemical analysis): Na2O 19.28, K2O 0.12, CaO 5.13, Al2O3 27.01, SiO2 33.25, SO3 10.94, S 1.75, Cl 0.10, CO2 1.42, H2O 0.90, –O≡(Cl,HS) –0.03, total 99.87. The empirical formula is Na27.57Ca4.05 K0.11(Si24.52Al23.48O96)(SO4)6.06S2.420Cl0.12(CO2)1.43·2.21H2O where S2.420 is the total sulfide sulfur, mainly occurring as neutral S6 and subordinate S4 molecules, according to the structural data. XPS spectroscopy confirms the presence of sulfide sulfur in neutral form. The crystal structure was determined using single-crystal X-ray diffraction data and refined to R = 0.0428. Slyudyankaite is triclinic, space group P1, a = 9.0523(4) Å, b = 12.8806(6) Å, c = 25.681(1) Å, α = 89.988(2)°, β = 90.052(1)°, γ = 90.221(1)°, V = 2994.4(2) Å3, Z = 1. Slyudyankaite contains two kinds of sodalite cages occurring in the structure in a ratio of 3:1. Cages of the first kind are completely occupied by SO42− anions and extra-framework cations, whereas cages of the second type contain only neutral molecules (S6, CO2, H2O, and minor S4). The strongest lines of the powder X-ray diffraction pattern [d, Å (I, %) (hkl)] are: 6.45 (11) (004, 112, 020), 3.716 (100) (204, 220, 116, 132), 2.878 (12) (136, 028, 044), 2.625 (23) (208, 240), 2.431 (6) (209), 2.275 (6) (048), 2.143 (12) (0.0.12, 336), 1.784 (7) (444, 1.1.14, 356, 172).
Modeling of the oxygen aeration performance efficiency of gabion spillways
Authors: Srinivas Rathod , Tiwari N. K. 
Published: November 2022

Abstract
The current paper discussed the application and comparison of machine learning algorithms such as the gradient boosting machine (GBM), neural network (NN), and deep neural network (DNN) in estimating the oxygen aeration performance efficiency (OAPE20) of the gabion spillways. Besides, traditional equations, namely developed multivariable linear regression (MLR) and multivariable nonlinear regression (MNLR) along with the previous models were also employed in estimating OAPE20 of the gabion spillways. Results in the testing phase showed that the DNN with the highest value of correlation (correlation of coefficient (CC) = 0.9713) and lowest values of errors (root mean square error (RMSE) = 0.1684, mean squared error (MSE) = 0.0283, and mean absolute error (MAE) = 0.1532) demonstrated the best results in estimating OAPE20 of the gabion spillways; however, other applied models such as GBM, NN, MLR, and MNLR were giving comparable results evaluated to statistical appraisal metrics, but previous studies were performing incredibly poor with the lowest value of correlation and highest values of errors. The datasets employed here were collected by conducting experiments. From the relative significance of input parameters, the Reynolds number (Re) was observed to be a crucial parameter. At the same time, the ratio of the mean size gabion materials to the length of the gabion spillway (d50/L) had the least impact over the OAPE20 of the gabion spillways.
Regression modeling of combined sewer overflows to assess system performance
Authors: A. Bizer Matthew , Kirchhoff Christine J. 
Published: November 2022

Abstract
Combined sewer overflows (CSOs) occur when untreated raw sewage mixed with rainwater, runoff, or snowmelt is released during or after a storm in any community with a combined sewer system (CSS). Climate change makes CSOs worse in many locales; as the frequency and severity of wet weather events increases, so do the frequency and volume of CSO events. CSOs pose risks to humans and the environment, and as such, CSS communities are under regulatory pressure to reduce CSOs. Yet, CSS communities lack the tools needed, such as performance indicators, to assess CSS performance. Using the city of Cumberland, Maryland as a case study, we use public data on CSOs and precipitation over a span of 16 years to identify a new critical rainfall intensity threshold that triggers likely CSO incidence, and a multiple linear regression model to predict CSO volume using rainfall event characteristics. Together, this indicator and modeling approach can help CSS communities assess the performance of their CSS over time, especially to evaluate the effectiveness of efforts to reduce CSOs.