bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic Significance of Baseline Clinical and [68Ga]Ga-PSMA PET Derived Parameters on Biochemical Response, Overall Survival, and PSA Progression-Free Survival in Metastatic Castration-Resistant Prostate Cancer (mCRPC) Patients Undergoing [177Lu]Lu-PSMA Therapy
Authors: Jafari Esmail , Manafi-Farid Reyhaneh , Ahmadzadehfar Hojjat , Salek Fatemeh , Jokar Narges , Keshavarz Ahmad , Divband GhasemAli , Dadgar Habibollah , Zohrabi Farshad , Assadi Majid 
Published: September 2024

Abstract
Background In this study, we sought to identify the clinical baseline characteristics and pre-therapy 68Ga-PSMA PET derived parameters that can have impact on PSA (biochemical) response, OS and PSA PFS in patients with metastatic castration-resistant prostate cancer (mCRPC) who undergo RLT with [177Lu]Lu-PSMA-617.
Methods Various pre-treatment clinical and PSMA PET derived parameters were gathered and computed. We used PSA response as the criteria for more than a 50% decrease in PSA level, and OS and PSA PFS as endpoints. We assessed the collected parameters in relation to PSA response. Additionally, we employed univariable Cox regression and Kaplan-Meier analysis with log rank to evaluate the influence of the parameters on OS and PFS.
Results A total of 125 mCRPC patients were included in this study. The median age was 68 years (range: 49–89). Among the cases, 77 patients (62%) showed PSARS, while 48 patients (38%) did not show PSA response. The median OS was 14 months (range: 1–60), and the median PSA-PFS was 10 months (range: 1–56). Age, prior history of chemotherapy, and SUVmax had a significant impact on PSA response (p<0.05). PSA response, RBC count, hemoglobin, hematocrit, neutrophil to lymphocyte ratio (NLR), alkaline phosphatase (ALP), number of metastases, wbPSMA-TV, and wbTL-PSMA significantly affected OS. GS, platelet count, NLR, and number of metastases were found to have a significant impact on PSA PFS.
Conclusion We have identified several baseline clinical and PSMA PET derived parameters that can serve as prognostic factors for predicting PSA response, OS, and PSA PFS after RLT. Based on the findings, we believe that these clinical baseline characteristics can assist nuclear medicine specialists in identifying RLT responders who have long-term survival and PFS.
Translational Perspectives on the Therapeutic Potential of Hyptis Crenata Essential Oil Terpenes in Smooth Muscle Function
Authors: Cardeal dos Santos André Nogueira , da Cruz Freire José Ednésio , Rodrigues Bruna Ferreira , Ferreira-da-Silva Francisco Walber , Júnior José Eduardo Ribeiro Honório , Leal Cardoso José Henrique , de Souza Andrelina Noronha Coelho 
Published: September 2024

AbstractMonoterpenes and sesquiterpenes are classes of organic compounds found in various natural products, such as the essential oil of Hyptis crenata (EOHc). The therapeutic potential of these terpenes present in EOHc is evidenced by their effect on smooth muscle and potential clinical applications. Among the highlighted monoterpenes, such as sabinene, α-pinene, and β-pinene, a relaxing effect on rat intestinal smooth muscles is observed, attributed to interaction with calcium channels. Furthermore, monoterpenoids like borneol, cineole, and linalool also demonstrate vasorelaxant properties, suggesting potential in the treatment of cardiovascular conditions. Sesquiterpenes, such as caryophyllene and aromadendrenes, exhibit relaxing effects in various smooth muscle tissues, such as rat uterus and guinea pig ileum, indicating pharmacological potential in these areas. The translational exploration of targets, such as calcium channels and G
protein-coupled receptors, highlights the importance of these compounds in discovering new therapies based on natural products for treating various medical conditions.
Synthesis of FSO2-Functionalized Oxindoles via a Radical Fluorosulfonylation/Intramolecular Arylation Cascade
Authors: Liao Saihu , Yang Na , Pei Guanhua , Li Hao , Han Junwei , Wang Peng , Xie Lili 
Published: September 2024

AbstractHerein, we report the development of a FSO2 radical initiated tandem cyclization reaction under visible light photoredox catalysis, which allows for a facile access to FSO2-functionalized oxindoles from N-arylacrylamides. This reaction features mild reaction conditions, readily available starting materials, and SuFExable products. The introduction of sulfonyl fluoride groups into oxindoles could be of interest for related study in the context of discovering new bioactive molecules.
“Diya”-Related Burn Injuries during the Diwali Period: A 5-Year Retrospective Review from a Tertiary Care Hospital in India
Authors: Gupta Deepti , Chand Nemi , Nanavati Nupoor , Chauhan Aakash , Sarabahi Sujata 
Published: September 2024

Abstract
Background Diwali is a festival that is passionately celebrated by Indians all across the globe. Fire hazards associated with this festival are well known. Our hospital is a tertiary care burn center and caters to a patient population from all over North India. Firecracker burns and diya burns constitute two major causes of burn injuries during the festival of Diwali. Since, diya-related burn injuries have been overlooked in the past, this study was primarily designed to study the demographical data of “diya burns” during Diwali.
Materials and Methods The departmental records were analyzed for 3 days around Diwali festival over a period of 5 years from 2018 to 2022.
Results The results indicated that almost a third of all Diwali-related burns were caused by diyas (32.5%). A “burning diya left on floor” was the main reason for these injuries. Females were the most affected (70.4%). Additionally, one-third of these patients required admission.
Conclusion This study emphasizes the need for raising awareness regarding the proper use of “diyas” to bring down the incidence of such preventable burn injuries.
Long-Term Outcome of Surgery for Grade 4 Gynecomastia: A Single-Center Experience
Authors: Goel Aakanksha , Punia Sudhanshu , Gupta Amit 
Published: September 2024

Abstract
Background Gynecomastia results in a feminine appearance of the male chest, leading to social embarrassment and loss of self-esteem in the afflicted males. Grade 4 gynecomastia is expected to have less than perfect results with liposuction and gland excision alone. This study was done to assess the long-term outcome of this surgery for grade 4 gynecomastia.
Materials and Methods From January 2021 to December 2022, 81 patients with grade 4 gynecomastia were treated by us. All the patients underwent vibration amplification of sound energy at resonance (VASER) and suction-assisted liposuction of the chest and side rolls with excision of the gland with crescentic lift in the cases with ptosis. A retrospective study was done to analyze the long-term surgical outcomes in these patients by review of clinical records.
Results Symmetry was achieved in 37/39 patients with grade 4a gynecomastia but only in 33/42 patients with grade 4b gynecomastia. The inframammary fold disappeared in 35/39 patients with grade 4a gynecomastia but only in 25/42 of grade 4b gynecomastia patients. Ptosis was corrected in 35/42 grade 4b gynecomastia patients. The mean follow-up was 15 months (range: 12–24 months). Only seven patients desired a second stage to correct the remaining deformity.
Conclusion Liposuction with gland removal alone in grade 4a gynecomastia and with liposuction with crescentic nipple–areola complex (NAC) lift in patients of grade 4b gynecomastia give satisfactory results in patients with massively enlarged breasts. While grade 4a gynecomastia has overall better results and lesser complications as compared with grade 4b gynecomastia, the latter also has acceptable outcomes. Realistic prognosis needs to be explained to the patient preoperatively.
From Quackery to Super-Specialization: A Brief History of Aesthetic Surgery
Authors: Goel Aakanksha , Goel Arun 
Published: September 2024

AbstractFrom time immemorial, human beings have always tried to decorate themselves to look more beautiful and attractive to an onlooker, in turn improving their own self-esteem. Thus, Ayurveda in India and Ebers Papyrus in Egypt, written thousands of years ago, mention a variety of cosmetics being used for the same. However, operative interventions were mainly reconstructive and any improved aesthetics was a by-product only (e.g., restoration of amputated nose). The surgery for purely cosmetic reasons started less than 150 years ago after the availability of anesthesia and antisepsis. Initially, the medical profession and the common man were skeptical of these interventions and even ridiculed the patient and the clinician. The pioneers were labeled as quacks and working against the law, and some of them had to even commit suicide, while the patients were labeled as “psychiatric.” The past 50 years have seen aesthetic procedures, both surgical and nonsurgical, being performed by highly qualified superspecialists. This article attempts to trace this change.
A birdcage resonant antenna for helicon wave generation in TORPEX
Authors: Vincent Simon P. H. , Guittienne Philippe , Quigley Patrick , Sepulchre Cyrille , Jacquier Rémy , Bertizzolo Robert , Baquero-Ruiz Marcelo , Howling Alan A. , Furno Ivo 
Published: September 2024

A birdcage resonant helicon antenna is designed, mounted, and tested in the toroidal device TORPEX. The birdcage resonant antenna is an alternative to the usual Boswell or half-helical antenna designs commonly used for ∼10 cm diameter helicon sources in low temperature plasma devices. The main advantage of the birdcage antenna lies in its resonant nature, which makes it easily operational even at large scales, an appealing feature for the TORPEX device whose poloidal cross section is 40 cm in diameter. With this antenna, helicon waves are shown to be launched and sustained throughout the whole torus of TORPEX. The helicon waves can be launched at low power on a pre-existing magnetron-generated plasma with little effect on the density profiles. The birdcage antenna can also be used alone to produce plasma, which removes the constraint of a narrow range of applied magnetic fields required by the magnetron, opening the way to a new range of studies on TORPEX with the external magnetic field as a control parameter.
An energy efficient leaky integrate and fire neuron using Ge-source TFET for spiking neural network: simulation analysis
Authors: Tiwari Shreyas , Saha Rajesh , Varma Tarun 
Published: September 2024

Abstract
The basic building block of neural network is a device, which can mimic the neural behavior. The spiking neural network (SNN) is an efficient methodology in terms of power and area. Due to the excess energy consumption and larger area, various spintronic neural devices are unfit for neuron applications. In this article, we have implemented Ge source based Tunnel FET (TFET) for ultralow energy spike generation using TCAD simulator. It is seen that Ge source TFET has signature spiking frequency in THz range versus input voltage curve of an artificial biological neuron. The simulated device deploy the leaky integrate and fire (LIF) technique for generation of neurons. The simulation result highlights that the energy of device is 1.08 aJ/spike, which is several order less than existing neural based FET devices in literature.
A crack identification scheme based on neural network surrogate model and XFEM
Authors: Zhong Yudong , Zeng Xue , Hou Junjian , Wang Ruolan , Wang Liangwen , Zhao Dengfeng , He Wenbin , Zheng Yinan 
Published: September 2024

Abstract
Crack detection and identification is of great significance to the safety issues of engineering structures. In this paper, an intelligent crack identification scheme based on extended finite element and neural network surrogate model is proposed to realize the accurate identification of crack parameters. The method firstly employs extended finite element forward analysis to obtain the displacement data of measurement points on geometric models with different crack lengths, and inputs them as sample data to train the agent model, establishes a neural network-based inverse analysis model for crack identification, and automatically updates the threshold and weight of the neural network by using the Gray Wolf optimization algorithm to finally compute the globally optimal results. In the screening of the surrogate model, this paper verifies the advantages of the neural network surrogate model in data fitting and crack information extraction by comparing and analyzing the characteristics of neural network, support vector machine and other surrogate models, and optimizing the neural network surrogate model by adopting the Gray Wolf optimization algorithm. Finally, several numerical examples of different types of cracks are given to verify the validity of the proposed method, and the results show that the proposed method can accurately invert the geometric information of cracks.
Proca stars in wormhole spacetime
Authors: Su Xin , Hao Chen-Hao , Ren Ji-Rong , Wang Yong-Qiang 
Published: September 2024

Abstract
In this paper, we present the spherically symmetric Proca star in the presence of a
phantom field and obtain a traversable wormhole solution for non-trivial topological
spacetime. Using numerical methods, symmetric solutions and asymmetric solutions are obtained in
two asymptotically flat regions. We find that when changing the throat size r
0, both the ADM
mass M and the Noether charge Q no longer have the spiral characteristics of a classic Proca
star, furthermore, the asymmetric solution can be turned into the symmetric solution at some
frequency ω in certain r
0. In particular, we find that when the frequency takes a
certain value, the similar “black-bounce” structure will appear.
Unified monogamy relations for the generalized W-class states beyond qubits
Authors: Shen Zhong-Xi , Zhou Wen , Xuan Dong-Ping , Wang Zhi-Xi , Fei Shao-Ming 
Published: September 2024

Abstract
The monogamy of entanglement stands as an indispensable feature within multipartite quantum systems. We study monogamy relations with respect to any partitions for the generalized W-class (GW) states based on the unified-(q, s) entanglement (UE). We provide the monogamy relation based on the squared UE for a reduced density matrix of a qudit GW state, as well as tighter monogamy relations based on the αth (α ≥ 2) power of UE. Furthermore, for an n-qudit system ABC
1...C

n−2, a generalized monogamy relation and an upper bound satisfied by the βth (0 ≤ β ≤ 1) power of the UE for the GW states under the partition AB and C
1...C

n−2 are established. In particular, two partition-dependent residual entanglements for the GW states are analyzed in detail.
Pit density reduction for AlN epilayers grown by molecular beam epitaxy using Al modulation method
Authors: Liu 刘 Huan 欢 , Shao 邵 Peng-Fei 鹏飞 , Chen 陈 Song-Lin 松林 , Tao 陶 Tao 涛 , Yan 严 Yu 羽 , Xie 谢 Zi-Li 自力 , Liu 刘 Bin 斌 , Chen 陈 Dun-Jun 敦军 , Lu 陆 Hai 海 , Zhang 张 Rong 荣 , Wang 王 Ke 科 
Published: September 2024

Abstract
We have investigated homoepitaxy of AlN films grown by molecular beam epitaxy on AlN/sapphire templates by adopting both the continuous growth method and the Al modulation epitaxy (AME) growth method. The continuous growth method encounters significant challenges in controlling the growth mode. As the precise Al/N = 1.0 ratio is difficult to achieve, either the excessive Al-rich or N-rich growth mode occurs. In contrast, by adopting the AME growth method, such a difficulty has been effectively overcome. By manipulating the supply time of the Al and nitrogen sources, we were able to produce AlN films with much improved surface morphology. The first step of the AME method, only supplying Al atoms, is important to wet the surface and the Al adatoms can act as a surfactant. Optimization of the initial Al supply time can effectively reduce the pit density on the grown AlN surface. The pits density dropped from 12 pits/μm2 to 1 pit/μm2 and the surface roughness reduced from 0.72 nm to 0.3 nm in a 2 × 2 μm2 area for the AME AlN film homoepitaxially grown on an AlN template.
Physics-informed Neural Network for Force-free Magnetic Field Extrapolation
Authors: Zhang Yao , Xu Long , Yan Yihua 
Published: September 2024

Abstract
In this paper, we propose a physics-informed neural network extrapolation method that leverages machine learning techniques to reconstruct coronal magnetic fields. We enhance the classical neural network structure by introducing the concept of a quasi-output layer to address the challenge of preserving physical constraints during the neural network extrapolation process. Furthermore, we employ second-order optimization methods for training the neural network, which are more efficient compared to the first-order optimization methods commonly used in classical machine learning. Our approach is evaluated on the widely recognized semi-analytical model proposed by Low and Lou. The results demonstrate that the deep learning method achieves high accuracy in reconstructing the semi-analytical model across multiple evaluation metrics. In addition, we validate the effectiveness of our method on the observed magnetogram of active region.
Fast Two-dimensional Positioning Method of Crab Pulsar Based on Multiple Optimization Algorithms
Authors: Chen Jianfeng , Liu Jin , Ma Xin , Ning Xiaolin 
Published: September 2024

Abstract
In the two-dimensional positioning method of pulsars, the grid method is used to provide non-sensitive direction and positional estimates. However, the grid method has a high computational load and low accuracy due to the interval of the grid. To improve estimation accuracy and reduce the computational load, we propose a fast two-dimensional positioning method for the crab pulsar based on multiple optimization algorithms (FTPCO). The FTPCO uses the Levenberg–Marquardt (LM) algorithm, three-point orientation (TPO) method, particle swarm optimization (PSO) and Newton–Raphson-based optimizer (NRBO) to substitute the grid method. First, to avoid the influence of the non-sensitive direction on positioning, we take an orbital error and the distortion of the pulsar profile as optimization objectives and combine the grid method with the LM algorithm or PSO to search for the non-sensitive direction. Then, on the sensitive plane perpendicular to the non-sensitive direction, the TPO method is proposed to fast search the sensitive direction and sub-sensitive direction. Finally, the NRBO is employed on the sensitive and sub-sensitive directions to achieve two-dimensional positioning of the Crab pulsar. The simulation results show that the computational load of the FTPCO is reduced by 89.4% and the positioning accuracy of the FTPCO is improved by approximately 38% compared with the grid method. The FTPCO has the advantage of high real-time accuracy and does not fall into the local optimum.
High-power three-phase interleaved parallel NPC structure DC-DC converter modeling and simulation
Authors: Zhang Haoran , Zuo Dongsheng , Li Yang 
Published: September 2024

Abstract
In fields such as DC microgrids, renewable energy generation, and electric vehicle charging stations, three-phase NPC structure DC-DC converters play an irreplaceable role, constituting a significant part of modern power electronics technology. Mathematical models are established based on various operating modes of IGBT switching devices under PWM control, encompassing input voltage, output voltage, phase currents, average current, and duty cycle. Simulation models are constructed on the MATLAB platform to confirm the correctness of these mathematical models. Closed-loop control strategies are implemented using proportional-integral (PI) controllers. This control strategy serves to confirm the precision of the mathematical models.
Low-delay low-voltage load aggregator demand response communication transmission architecture based on 5g edge computing
Authors: Qin Yupeng , Lin Xiuqing , Huang Junli 
Published: September 2024

Abstract
Participation of low-voltage users in demand response is one of the most important ways to mitigate the mismatch between power supply and demand. However, existing smart metering devices cannot support the low-delay and high-reliability transmission of massive power data. 5G communication technology provides a new communication transmission structure for load aggregators to communicate with low-voltage users and power grid companies. This paper combines 5G communication slicing technology and edge computing technology to rationally allocate computing and communication resources through deep Q-learning algorithms. The scheme proposed in this paper has a lower delay than the equal resource allocation scheme and is suitable for high-speed transmission of massive interactive response data from low-voltage users.
An on-time control circuit applied to DC-DC interface circuits in power management
Authors: Xue Haoyu , Li Chunlong , Huang Hui , Wu Jianhui , Liu Xin , Lu Yongling 
Published: September 2024

Abstract
This article proposes an on-time control circuit that improves the overall efficiency of DC-DC in power management. The low maximum power tracking efficiency of the adaptive on-time control technique under low input voltage and the low efficiency of the constant on-time control method DC-DC itself under high input voltage are both resolved by this circuit. It is assumed that this circuit is applied under the condition that the resistance of the environmental source remains unchanged. The circuit enhances the maximum power tracking efficiency under low input voltage, and the DC-DC maximum power tracking efficiency may maintain an efficiency value of more than 95%. At high input voltages, the circuit maintains the DC-DC inductor peak current nearly constant as the input voltage varies. Under DC-DC pre-simulation, when the input voltage exceeds 0.5 V, the overall efficiency will be better than 90%. Under DC-DC post-simulation, when the input voltage reaches 1 V, the overall efficiency will be greater than 90%.
Research on insulation design of 10 kV medium-voltage cascaded energy storage system
Authors: Chen Man , Gu Mengyuan , Peng Peng , Wan Minhui , Wang Dachen , Wang Wenjie , Tan Qipeng , Lei Qikai , Sun Guangxu , Cong Haibo 
Published: September 2024

Abstract
The insulation design of a medium-voltage cascaded energy storage system is very important due to its direct access to the AC medium-voltage network. This paper focuses on improving the reliability and safety of the system operation, and realizes the insulation design of a 10 kV medium-voltage cascaded energy storage system through the selection of insulation materials and structural innovation. In the structure, high insulation sheet molding plastic was used to suspend the battery. The ultra-low conductivity coolant was used to enhance the insulation performance between battery modules. The stability and practicability of the insulation structure are demonstrated by effective test methods. The research shows that the medium voltage insulation design meets the insulation requirements of the 10 kV voltage class, and has high industrial practical value for the project of medium voltage cascaded energy storage system.
Corrigendum: Acceleration and interannual variability of creep rates in mountain permafrost landforms (rock glacier velocities) in the European Alps in 1995–2022 (2024 Environ. Res. Lett. 19 034022)
Authors: Kellerer-Pirklbauer Andreas , Bodin Xavier , Delaloye Reynald , Lambiel Christophe , Gärtner-Roer Isabelle , Bonnefoy-Demongeot Mylène , Carturan Luca , Damm Bodo , Eulenstein Julia , Fischer Andrea , Hartl Lea , Ikeda Atsushi , Kaufmann Viktor , Krainer Karl , Matsuoka Norikazu , Morra Di Cella Umberto , Noetzli Jeannette , Seppi Roberto , Scapozza Cristian , Schoeneich Philippe , Stocker-Waldhuber Martin , Thibert Emmanuel , Zumiani Matteo 
Published: September 2024

Abstract
This is a correction for Kellerer-Pirklbauer et al (2024 Environ. Res. Lett.
19 034022).