bluuebunny/crossref_metadata_2025_split huggingface dataset:
BO‐XGBoost‐based voltage/var optimization for distribution network considering the LCOE of PV system
Authors: Zhang Bo , Gao Yuan , Wang Lei , Li Tiecheng 
Published: October 2023

AbstractWith large‐scale renewable energy connected to the distribution network, the traditional method to solve the distribution network voltage/var power optimization model can hardly meet the needs of online optimization of the distribution network. Therefore, a Bayesian optimization eXtreme Gradient Boosting (BO‐XGBoost) based optimization strategy for voltage/var of the distribution network considering the cost of the photovoltaic (PV) power is proposed to improve the solving speed of the optimization model. First, the voltage/var optimization model of the distribution network considering the LCOE of the PV system is established. The optimal reactive power output command data set of the PV generation in the distribution network is obtained by solving the established optimization model. The XGBoost model is used to mine the nonlinear mapping relationship between the state information of the distribution network and the optimal reactive power output of the PV system; then the Bayesian algorithm is used to complete the adaptive optimization of the hyperparameters of the XGBoost model. Finally, the PG&E 69 node power distribution system is used to verify the advantages of the proposed strategy in improving the performance of the XGBoost algorithm, increasing the solving speed of the voltage/var optimization model, and reducing the LCOE of PV generation.
Empirical contrast model for high-contrast imaging A VLT/SPHERE case study
Authors: Courtney-Barrer B. , De Rosa R. , Kokotanekova R. , Romero C. , Jones M. , Milli J. , Wahhaj Z. 
Published: October 2023

Context. The ability to accurately predict the contrast achieved with high-contrast imagers is important for efficient scheduling and quality control measures in modern observatories.
Aims. We aim to consistently predict and measure the raw contrast achieved by SPHERE/IRDIS on a frame-by-frame basis in order to improve the efficiency of SPHERE at the Very Large Telescope (VLT) and maximise scientific yield.
Methods. Contrast curves were calculated for over 5 yr of archival data obtained using the most common SPHERE/IRDIS corona-graphic mode in the H2/H3 dual-band filter. These data consist of approximately 80 000 individual frames, which were merged and interpolated with atmospheric data to create a large database of contrast curves with associated features. An empirical power-law model for contrast – motivated by physical considerations – was then trained and finally tested on an out-of-sample test dataset.
Results. At an angular separation of 300 mas, the contrast model achieved a mean (out-of-sample) test error of 0.13 magnitude with the 5th and 95th percentiles of the residuals equal to −0.23 and 0.64 magnitude respectively. The models test-set root mean square error (RMSE) between 250 and 600 mas was between 0.31 and 0.40 magnitude, which is equivalent to that of other state-of-the-art contrast models presented in the literature. In general, the model performed best for targets of between 5 and 9 G-band magnitude, with degraded performance for targets outside this range. This model is currently being incorporated into the Paranal SCUBA software for first-level quality control and real-time scheduling support.
Coronal diagnostics of solar type III radio bursts using LOFAR and PSP observations
Authors: Nedal Mohamed , Kozarev Kamen , Zhang Peijin , Zucca Pietro 
Published: October 2023

Context.Solar type III radio bursts are common phenomena, recognized as the result of accelerated electron beams propagating through the solar corona. These bursts are of particular interest as they provide valuable information about the magnetic field and plasma conditions in the corona, which are difficult to measure directly.Aims.This study aims to investigate the ambiguous source and the underlying physical processes of the type III radio bursts that occurred on April 3, 2019, through the utilization of multi-wavelength observations from the Low-Frequency Array (LOFAR) radio telescope and the Parker Solar Probe (PSP) space mission, as well as incorporating results from a Potential Field Source Surface (PFSS) and magnetohydrodynamic (MHD) models. The primary goal is to identify the spatial and temporal characteristics of the radio sources, as well as the plasma conditions along their trajectories.Methods.We applied data preprocessing techniques to combine high- and low-frequency observations from LOFAR and PSP between 2.6 kHz and 80 MHz. We then extracted information on the frequency drift and speed of the accelerated electron beams from the dynamic spectra. Additionally, we used LOFAR interferometric observations to image the sources of the radio emission at multiple frequencies and determine their locations and kinematics in the corona. Lastly, we analyzed the plasma parameters and magnetic field along the trajectories of the radio sources using PFSS and MHD model results.Results.We present several notable findings related to type III radio bursts. Firstly, through our automated implementation, we were able to effectively identify and characterize 9 type III radio bursts in the LOFAR-PSP combined dynamic spectrum and 16 type III bursts in the LOFAR dynamic spectrum. We found that the frequency drift for the detected type III bursts in the combined spectrum ranges between 0.24 and 4 MHz s−1, while the speeds of the electron beams range between 0.013 and 0.12 C. Secondly, our imaging observations show that the electrons responsible for these bursts originate from the same source and within a short time frame of fewer than 30 min. Finally, our analysis provides informative insights into the physical conditions along the path of the electron beams. For instance, we found that the plasma density obtained from the magnetohydrodynamic algorithm outside a sphere (MAS) model is significantly lower than the expected theoretical density.
Angioplastie mit Sirolimus-beschichtetem Ballon: der neue Standard in der Behandlung der PAVK?
Authors: Teichgräber Ulf Karl-Martin , Ingwersen Maja 
Published: October 2023

ZusammenfassungDie endovaskuläre Revaskularisierung mit Paclitaxel-beschichteten Ballons zur Behandlung der peripheren arteriellen Verschlusskrankheit hat sich im femoropoplitealen Segment als wirksame
Therapieoption erwiesen. Der antiproliferative Effekt von Paclitaxel verhindert Restenosen. Im infrapoplitealen Segment dagegen ist die Evidenz derzeit noch widersprüchlich. Allerdings gibt
es Hinweise auf ein erhöhtes Amputations- und Mortalitätsrisiko ab 2 Jahren nach Angioplastie mit Paclitaxel-beschichteten Ballons. Dies könnte auf einen dosisabhängigen zytotoxischen Effekt
von Paclitaxel zurückzuführen sein. Sirolimus-beschichtete Ballons könnten daher eine Alternative sein, weil Sirolimus nicht zytotoxisch, sondern zytostatisch wirkt und damit ein weites
therapeutisches Fenster aufweist.Drei einarmige Pilotstudien (50, 25, bzw. 50 Patient*innen) zeigen, dass die Angioplastie mit Sirolimus-beschichteten Ballons zu vergleichbaren Ergebnissen führt, wie von
Paclitaxel-beschichteten Ballons berichtet (Lumenverlust nach 6 Monaten: 0,29 mm; primäre Offenheit nach 12 Monaten: femoropopliteal 79%–82%, infrapopliteal 59%; Freiheit von
Revaskularisierung der Zielläsion nach 12 Monaten: femoropopliteal 83%–94%, infrapopliteal 86%). Randomisierte kontrollierte Studien zum Vergleich mit Standard-Ballon Angioplastie und mit
Paclitaxel-beschichteten Ballons für die Behandlung von Claudicatio intermittens oder chronischer Gliedmaßen-gefährdender Ischämie sind aktiv und werden voraussichtlich ab Mitte 2024 erste
Ergebnisse zu Wirksamkeit und Sicherheit liefern.Diese Übersichtsarbeit stellt die Ergebnisse der Pilotstudien zur Angioplastie mit Sirolimus-beschichteten Ballons zur Behandlung der peripheren arteriellen Verschlusskrankheit vor und gibt
einen Überblich über aktuell laufende randomisierte kontrollierte Studien.
Ayurveda-Öltherapien bei Rückenschmerzen
Authors: Keßler Christian , Ehm Michael 
Published: October 2023

SummaryAyurveda umfasst verschiedene Maßnahmen, von denen auch Rückenschmerz-patient*innen profitieren können. Dazu gehören unter anderem Ordnungstherapie, Ernährungstherapie (ahara), Yoga-Therapie, selektive ausleitende Verfahren (z. B. matra-basti) oder die Phytotherapie (aushadi). Positive Effekte bietet auch die Ayurveda-Manualtherapie, bei der mithilfe von speziellen Ölen Rückenschmerzen gelindert werden können.
Large Ascending Aortic Pseudoaneurysm with Focal Dissection after Coronary Artery Bypass Surgery
Authors: Anderson Devon , Xue Anna , Wong Samantha , Kiaii Bob , Catrip-Torres Jorge 
Published: October 2023

Abstract
Background There are many known complications that occur after surgical revascularization for patients with significant left main coronary artery disease.
Case Description This case report highlights the preoperative workup, surgical approach, and postoperative management of a patient who presents with an aortic pseudoaneurysm and dissection 2 years after the index CABG.
Conclusion The development of an aortic pseudoaneurysm in combination with an ascending aortic dissection after prior coronary artery bypass grafting (CABG) is a rare compilation of complications that has scarcely been reported in the literature.
Photoredox-Catalyzed C(sp2)–H Bond Functionalization Reactions: A Short Account
Authors: Loh Teck-Peng , Li Jinling , Zhao Junjie 
Published: October 2023

AbstractPhotoredox catalysis has been undergoing rapid development and wide application in the chemical community during the past several years because of its advantages for reaction engineering. Since 2016, Loh et al. started their research on photoredox-catalyzed reaction transformations, including β-C(sp2)–H fluoroalkylation, alkylation, and acylation of enamides, C(sp2)–H phosphorylation of alkenes converted from alcohols, C(sp2)–H bromination, and alkylation of (hetero)arenes. These transformations introduce a broad range of structural differences on the C(sp2)–H bond of compounds with an extensive array of functional groups and showcase the appealing synthetic utilities of the approach.1	Introduction2	Photoredox-Catalyzed β-C(sp2)–H Functionalization of Enamides3	Photoredox-Catalyzed C(sp2)–H Functionalization of Alkenes4	Photoredox-Catalyzed C(sp2)–H Functionalization of (Hetero)Arenes5	Conclusion
Copper Nanoparticles on Montmorillonite K-10: A Versatile Catalyst for the One-Pot Synthesis of 3,5-Disubstituted Isoxazoles Using Various Methodologies
Authors: Radivoy Gabriel , Stabile Santiago , Bjerg Esteban E. 
Published: October 2023

AbstractA readily prepared and versatile heterogeneous catalyst composed of copper nanoparticles supported on montmorillonite K-10 (CuNPs/MK-10) has proven to be highly effective in catalyzing the synthesis of isoxazoles through various one-pot methodologies with high atom economy. These methodologies allow for the use of readily available starting materials, including aldehydes and alkynes through 1,3-dipolar cycloaddition reactions, as well as via cycloisomerization of ynones. Additionally, the CuNPs/MK-10 catalyst promoted the in situ formation of the ynones via an acyl Sonogashira coupling. Furthermore, a three-step one-pot methodology was also developed, starting from carboxylic acids and involving the in situ generation of acyl chlorides.
A Rearrangement of 4-Phenylbenzo[d]oxazoles to Phenanthridin-4-ols
Authors: Fisyuk Alexander S. , Shatsauskas Anton L. , Keyn Ekaterina S. , Stasyuk Anton J. , Kirnosov Sergey A. , Shuvalov Vladislav Yu. , Kostyuchenko Anastasia S. 
Published: October 2023

AbstractA new approach was developed for the synthesis of phenanthridin-4-ols and 4-hydroxyphenanthridin-6(5H)-one derivatives in 43–89% yields based on the AlCl3-mediated rearrangement of available 4-phenylbenzo[d]oxazoles and 4-phenyl-1,3-benzoxazol-2(3H)-one. The quantum chemical calculations were used to describe the mechanism and predict the thermodynamic parameters of the reaction under study.
Direct Reductive Coupling of Nitro Compounds for the Synthesis of Advanced Amines
Authors: Chan Albert S. C. , Meng Shan-Shui , Li Tao 
Published: October 2023

AbstractDirect reductive coupling of nitro compounds with C-coupling partners is an atom- and step-economical strategy to access polyfunctional advanced amines. Due to the extremely complex process involved in the reduction of nitro compounds and the high reactivity of N,O-intermediates, few reliable methodologies have been reported for the reductive coupling of nitro compounds since the initial studies. To address this significant challenge, numerous endeavors have been devoted to this important area over the past hundred years. In this short review, we summarize recent advances in this domain and discuss the mechanisms of these appealing reductive coupling transformations.1	Introduction2	Reductive Coupling of Nitro Compounds with Organometallic Reagents3	Reductive Coupling of Nitro Compounds with Arylboronic Acids4	Reductive Coupling of Nitro Compounds with Alkenes5	Reductive Coupling of Nitro Compounds with Alkyl/Aryl Halides6	Reductive Coupling of Nitro Compounds with Alcohols and Their Derivatives7	Conclusion
A Dual Center Experience with a Locking Intramedullary Nail for Wrist Fusion
Authors: Heifner John J. , Rowland Robert J. , Gomez Osmanny , Rubio Francisco , Kardashian George S. 
Published: October 2023

Abstract
Background In aggregate, there is varied efficacy for total wrist fusion (TWF) with a locking intramedullary (IM) nail which indicates the need for further investigation. It remains unclear whether preparation of the third carpometacarpal joint (CMCJ) will reduce the risk of complications including distal screw loosening.
Purpose Our objectives were (a) to report clinical outcomes for wrist arthrodesis using a locking IM nail and (b) to determine whether maintenance of the native third CMCJ articulation would contribute to short-term complications.
Patients and Methods A chart review from 2010 to 2022 was performed at two institutions for cases of TWF fixed with the IMPLATE locking nail (Skeletal Dynamics, Miami, FL). Clinical and radiographic outcomes were collected.
Results Radiographic union was achieved in 93.8% of cases, including one case of delayed union. The mean patient-rated wrist evaluation score was 30.4, the mean visual analog scale score for pain at rest was 1.7, and the mean visual analog scale score during activities of daily living was 3.2. There were seven cases of distal screw loosening (21.8%), and three cases of revision surgery (9.4%) which included two implant removals. A long radial nail was used in 24 (75%) of cases and a short metacarpal nail was used in 3 (9%) cases.
Conclusion The current series demonstrated satisfactory function with low rates of revision surgery following IM nail TWF without inclusion of the third CMCJ into the fusion mass. Cases with distal screw loosening had variable clinical presentation and our current practice is to offer outpatient screw removal for cases which reach the threshold for intervention.
Level of Evidence IV retrospective series.
The evolution and development of ecotranslatology studies based on the analysis of CiteSpace mapping knowledge domains
Authors: Xiong Xin , Qin Hui , Liu Xiangtao 
Published: October 2023

AbstractThe present study endeavors to unveil the progression of research subjects within the realm of China’s ecotranslatology studies through the examination of journal papers in the databases of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) from 2001 to 2022, utilizing CiteSpace software for mapping and analyzing cooccurrences among authors, institutions, and keywords. The findings indicate that within ecotranslatology studies, a prominent theory-founding research group represented by Hu Gengshen has been established, yet no comparable clusters have been identified among scholars engaged in debate or applied studies. Additionally, a lack of effective cooperation and diversity among research entities as well as inadequate responses to questions and concerns have been observed. Furthermore, research focuses have undergone a shift, progressing from theory founding studies (2001–2008) to confirmation and verification studies (2009–2014) and finally to revision and applied studies (since 2015). Additionally, research topics have transitioned from grand, abstract theoretical foundations to subtle, specific theory revisions and applied translation studies, yet a dearth of quantitative research, comparative studies, or field studies have been conducted. In conclusion, it is suggested that future ecotranslatology studies should be more responsive to doubts and questions, cultivate diverse research entities, and place greater emphasis on field investigation within qualitative research.
Businesses in high-income zip codes often saw sharper visit reductions during the COVID-19 pandemic
Authors: Kulkarni Aditya , Kim Minkyong , Bhattacharya Jayanta , Bhattacharya Joydeep 
Published: October 2023

AbstractAs the COVID-19 pandemic unfolded, the mobility patterns of people worldwide changed drastically. While travel time, costs, and trip convenience have always influenced mobility, the risk of infection and policy actions such as lockdowns and stay-at-home orders emerged as new factors to consider in the location-visitation calculus. We use SafeGraph mobility data from Minnesota, USA, to demonstrate that businesses (especially those requiring extended indoor visits) located in affluent zip codes witnessed sharper reductions in visits (relative to parallel pre-pandemic times) outside of the lockdown periods than their poorer counterparts. To the extent visits translate into sales, we contend that post-pandemic recovery efforts should prioritize relief funding, keeping the losses relating to diminished visits in mind.
Waves in a forest: a random forest classifier to distinguish between gravitational waves and detector glitches
Authors: Shah Neev , Knee Alan M , McIver Jess , Stenning David C 
Published: October 2023

Abstract
The LIGO-Virgo-KAGRA (LVK) network of gravitational-wave (GW) detectors have observed many tens of compact binary mergers to date. Transient, non-Gaussian noise excursions, known as ‘glitches’, can impact signal detection in various ways. They can imitate true signals as well as reduce the confidence of real signals. In this work, we introduce a novel statistical tool to distinguish astrophysical signals from glitches, using their inferred source parameter posterior distributions as a feature set. By modelling both simulated GW signals and real detector glitches with a gravitational waveform model, we obtain a diverse set of posteriors which are used to train a random forest classifier. We show that random forests can identify differences in the posterior distributions for signals and glitches, aggregating these differences to tell apart signals from common glitch types with high accuracy of over 93%. We conclude with a discussion on the regions of parameter space where the classifier is prone to making misclassifications, and the different ways of implementing this tool into LVK analysis pipelines.
Relaxation behavior of vibrationally excited N2(X1Σg
+
v″ = 6) collisions with H2
Authors: Mamatimin Ayxam , Liu Jing , Habibulla Nurali , Alghazi Abai 
Published: October 2023

Abstract
Relaxation behavior of vibrationally excited N2 (X1Σg
+
v″ = 6) induced by collisions with H2 has been investigated using coherent anti-Stokes Raman spectroscopy (CARS). The total pressure of the N2–H2 mixture was 500 Torr, and the molar ratios of H2 were 0.3, 0.4, 0.5, 0.6 and 0.8, respectively. The v″ = 6 vibrational state of the electronic ground-state manifold X1Σg
+ of N2 was selectively excited by overtone pumping, and the population evolution was monitored using CARS spectroscopy. The collisional deactivation rate coefficients of the excited state N2 (v″ = 6) with H2 and N2 are approximately 2.59 × 10−14 cm3s−1 and 1.04 × 10−14 cm3s−1 at 300 K, and 2.57 × 10−14 cm3s−1 and 0.54 × 10−14 cm3s−1 at 320 K, respectively. The relaxation rate coefficient of the N2–H2 collision was approximately 2.5 and 5 times that of the self-relaxation rate coefficient. The experimental results show that the population densities of the (1,2), (2,2), (3,5), and (3,6) levels of H2 have a maximum at 320 K, while the population densities of (2,3) and (2,4) show little change with increasing temperature. Simultaneously, the time-resolved CARS profiles of the vibrational levels v = 6,5,4 by preparing v = 6 of N2 also indicated that a near-resonant multi-quantum relaxation process occurred between N2–H2. The collision-induced population distribution of H2 was observed at molar ratios of 0.3, 0.4, 0.5, 0.6 and 0.8, respectively. The ro-vibrational population distribution of H2 after collision with N2 is given by the CARS signal intensity ratio, and the population of hydrogen molecules at v = 2, 3 vibrational states also provides strong experimental evidence for energy near-resonance collisions between N2–H2.
Enhanced marine predators algorithm optimized support vector machine for IGBT switching power loss estimation
Authors: Liu Jiaqi , Li Lingling , Liu Yuwei 
Published: October 2023

Abstract
As the use of renewable energy generation continues to grow, improving power conversion efficiency has become an urgent task. This study aims to propose a high-precision power module loss estimation method, with a focus on predicting the switching losses of insulated gate bipolar transistor (IGBT) modules, which is crucial for the reliability assessment of IGBT modules. The main objective of this study is to establish a high-precision predictive model for IGBT module switching losses to enhance the reliability and efficiency of these devices. Firstly, a dynamic characteristic test platform was established to acquire relevant data for in-depth analysis of IGBT behavior. Secondly, given the excellent performance of support vector machine (SVM) in handling both strong and small-sized datasets, SVM was chosen as the foundational model for high-precision switching loss estimation. Subsequently, an enhanced marine predatory algorithm (EMPA), known for its superior convergence precision and speed, was introduced to optimize the random parameters of SVM. Finally, a method based on the optimized EMPA-SVM was constructed for predicting IGBT switching power losses. The proposed approach was validated using dynamic characteristic test data. And it indicated that the predictive model achieved the value of R
2 exceeding 99.8% for switching losses. Additionally, the mean absolute error and root mean square error metrics of EMPA-SVM model outperformed other models. Therefore, the research results unambiguously demonstrate the significant benefits of accurately predicting IGBT switching losses in enhancing device performance.