bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inferences of inverted gompertz parameters from an adaptive type-ii progressive hybrid censoring
Authors: Mohammed Heba S , Elshahhat Ahmed , Alotaibi Refah 
Published: August 2023

Abstract
A new two-parameter inverted Gompertz distribution with an upside-down bathtub-shaped failure rate is investigated in the presence of incomplete (censored) data. Reliability experimenters favor employing censoring strategies to collect data in order to strike a compromise between the time needed to complete the test, the required sample size, and the cost. Recently, an adaptive Type-II hybrid progressively censoring strategy has been proposed to improve the effectiveness of statistical inference. Therefore, using this strategy, this study explores the classical and Bayesian estimates of the inverted Gompertz distribution. The distribution parameters, reliability, and hazard functions are estimated using maximum likelihood and Bayesian estimation methods. On the presumption that the gamma priors are independent, symmetric and asymmetric loss functions are used to create the Bayesian estimation. The Markov chain Monte Carlo approach is used to collect samples from the entire conditional distributions and then acquire the Bayes estimates since the joint posterior distribution has a difficult shape. The highest posterior density and asymptotic confidence intervals are also obtained. Through simulated research, the efficacy of the various recommended strategies is contrasted. The best progressive censoring schemes are also shown, and various optimality criteria are investigated. Two real data sets, representing the lifetimes of mechanical components and the Boeing 720 jet airplane, are also looked at to show how the recommended point and interval estimators may be used. When the experimenter’s main concern is the number of failures, the results of the simulation research and data analysis showed that the proposed scheme is adaptive and highly useful in concluding the experiment.
A memristive chaotic system and its application in weak signal detection
Authors: Yan Shaohui , Song Jincai , Cui Yu , Li Lin , Wang Jianjian 
Published: August 2023

Abstract
In this paper, a novel four-dimensional memristive chaotic system is constructed by incorporating a memristor model into a three-dimensional chaotic system. Through the analysis of the Lyapunov exponent, bifurcation diagram, and Poincaré cross-section of the system, it has been observed that the system is capable of exhibiting a stable chaotic state, as well as complex dynamic behaviors, such as attractor coexistence, transient chaos, and offset boosting. To validate the actual existence of the system, a real circuit has been built based on Multisim simulation, and the numerical simulation results, along with the actual simulation results, are in agreement, thereby confirming the practical feasibility of the circuit. To achieve weak signal detection, a backstepping synchronization controller has been designed, which can detect the frequency and amplitude of unknown signals. It is obvious that this method does not require the determination of the critical threshold. Instead of, it relies on the system being in a chaotic state. The proposed detection method provides a new perspective for weak signal detection.
Spatial magnetization profile in spherical nanomagnets with surface anisotropy: Green's function approach
Authors: Adams M P , Michels A , Kachkachi H 
Published: August 2023

Abstract
We consider a single spherical nanomagnet and investigate the spatial magnetization profile

m

r

in the continuum approach, using the Green's function formalism. The energy of the (many-spin) nanomagnet comprises an isotropic exchange interaction, a uniaxial anisotropy in the core and Néel's surface anisotropy, and an external magnetic field. We derive a semi-analytical expression for the magnetization vector field

m

r

for an arbitrary position r within and on the boundary of the nanomagnet, as a solution of a homogeneous Helmholtz equation with inhomogeneous Neumann boundary conditions. In the absence of core anisotropy, we use the solution of this boundary problem and infer approximate analytical expressions for the components m

α
, α = x, y, z, as a function of the radial distance r and the direction solid angle. Then, we study the effects of the nanomagnet's size and surface anisotropy on the spatial behavior of the net magnetic moment. In the presence of a core anisotropy, an approximate analytical solution is only available for a position r located on the surface,i.e. r = R
n, where R is the radius of the nanomagnet and n the verse of the normal to the surface. This solution yields the maximum spin deviation as a result of the competition between the uniaxial core anisotropy and Néel's surface anisotropy. Along with these (semi-)analytical calculations, we have solved a system of coupled Landau–Lifshitz equations written for the atomic spins, and compared the results with the Green's function approach. For a plausible comparison with experiments, e.g. using the technique of small-angle magnetic neutron scattering, we have averaged over the direction solid angle and derived the spatial profile in terms of the distance r. We believe that the predictions of the present study could help to characterize and understand the effects of size and surface anisotropy on the magnetization configurations in nanomagnet assemblies such as arrays of well-spaced platelets.
A trium test on beyond ΛCDM triggering parameters
Authors: Sakr Z. 
Published: August 2023

AbstractWe performed a Bayesian study on three beyond ΛCDM phenomenological triggering parameters, the growth indexγ, the dark energy equation of state parameterωand the lensing deviation from the GR prediction parameter Σ, using the latest cosmological geometric, growth and lensing probes, all in a consistent implementation within the modified gravity cosmological solver code MGCLASS. We find, when we combined all our probes, i.e. the cosmic microwave background (CMB), the baryonic acoustic oscilation (BAO), the growth measurementsfσ8and the 3×2pt joint analysis of weak lensing and galaxy clustering in photometric redshift surveys, assuming flat space, constraints compatible with general relativity and ΛCDM withω= -1.025 ± 0.045, and Σ = 0.992 ± 0.022 at the 68% level, whileγ= 0.633±0.044 is still within ∼ 2σfrom the ΛCDM value ofγ∼ 0.55, and that when Σ is considered as constant; whileγℓ= -0.025 ±0.045 when the lensing parameter is parameterised as function of a lensing index, introduced for the first time in this work, as Σ(z) = Ωm(z)γℓ.
White dwarf mass-radius relation in theories beyond general relativity
Authors: Alam Khursid , Islam Tousif 
Published: August 2023

Abstract
We explore the internal structures of the white dwarfs in two different modified theories
of gravity: (i) scalar-tensor-vector gravity and (ii) beyond Horndeski theories of G
3 type. The
modification of the gravitational force inside the white dwarf results in the modification of the
mass and radius of the white dwarf. We use observational data from various astrophysical probes
including Gaia to test the validity of these two classes of modified theories of
gravity. We update the constraints on the parameters controlling the deviation from general
relativity (and Newtonian gravity in the weak field limit) as: 0.001 ≤ α for the
scalar-tensor-vector gravity and -0.079 ≤ γ ≤ 0.004 for the beyond Horndeski theories
of G
3 type. Finally, we demonstrate the selection effect of the astrophysical data on the tests
of the nature of gravity using white dwarf mass-radius relations specially in cases where the
number of data-points are not many.
EMT induces characteristic changes of Rho GTPases and downstream effectors with a mitosis-specific twist
Authors: Hosseini Kamran , Frenzel Annika , Fischer-Friedrich Elisabeth 
Published: August 2023

Abstract
Epithelial-mesenchymal transition (EMT) is a key cellular transformation for many physiological and pathological processes ranging from cancer over wound healing to embryogenesis. Changes in cell migration, cell morphology and cellular contractility were identified as hallmarks of EMT. These cellular properties are known to be tightly regulated by the actin cytoskeleton. EMT-induced changes of actin-cytoskeletal regulation were demonstrated by previous reports of changes of actin cortex mechanics in conjunction with modifications of cortex-associated f-actin and myosin. However, at the current state, the changes of upstream actomyosin signaling that lead to corresponding mechanical and compositional changes of the cortex are not well understood. In this work, we show in breast epithelial cancer cells MCF-7 that EMT results in characteristic changes of the cortical association of Rho-GTPases Rac1, RhoA and RhoC and downstream actin regulators cofilin, mDia1 and Arp2/3. In the light of our findings, we propose that EMT-induced changes in cortical mechanics rely on two hitherto unappreciated signaling paths—i) an interaction between Rac1 and RhoC and ii) an inhibitory effect of Arp2/3 activity on cortical association of myosin II.
Design Methodology of Off-Grid PV System
Authors: Mannan Abdul , Kirmani Sheeraz , Akhtar Iram 
Published: August 2023

Abstract
This paper develops a novel design methodology for the off-grid PV system by applying the demand- side management (DSM) approach. DSM strategy is used for the optimal distribution of electrical energy among the load. Various types of load are being categorized based on priority. In the case of a power shortage, the top-priority load will get a more reliable power supply. Moreover, energy shortage will get distributed among the loads. A programming model has been designed for a DSM-based off-grid PV system. Two cases have been considered. In the first case, the program is allowed to run under poor solar insolation conditions with DSM and in the second case, the off-grid system has been analyzed without DSM under poor insolation conditions. It is found that DSM based off-grid PV system is a better option as it supplies more reliable power as well as provides maximum customer comfort as compared to without a DSM-based off-grid PV system.
Design, implementation and performance assessment of a low-cost dual-axis solar tracker
Authors: Varshney Gunjan , Mittal Udit , Kishore MP , Saxena Ujjawal 
Published: August 2023

Abstract
As the demand for energy increases and the cost of non-renewable resources continues to rise, many nations are working to find alternative sources of electricity before a crisis arises. This effort is focused on transitioning away from conventional energy sources and towards non-conventional ones. Energy from the sun is clean and available in natural quantities, which can reduce our dependence on fossil fuels on a large scale along with providing low-carbon solutions. By tracking the sun’s radiations, the photovoltaic (PV) panels could be directed in such a way that they collect high levels of sunlight. This article presents the design and performance assessment of a low-cost dual-axis solar tracking system based on Arduino. The main objective of this study is to show that the proposed solar-tracking system performs better a non-tracking system. A light sensor and two servo motors are also employed to move the solar panel toward a high-intensity light source. The software domain code was created using the C programming language using the Arduino IDE, which interacts with the Arduino board and its other connected devices. The performance of the prototype was assessed and compared to that of a stationary solar panel of the same rating. In this paper, the authors have highlighted the necessary techniques to build a low-cost solar tracker for extracting maximum photovoltaic energy using real-time data. In terms of power output, the results reveal that the tracking system surpasses the fixed solar panel, indicating increased performance at a reasonable cost. Therefore, the solar tracker has been proven to be very effective in capturing significant solar energy for solar harvesting applications.
Performance Analysis of Solar PV system integrated with SEPIC and ZETA converter
Authors: Dwivedi Dewang , Maurya Arun Kumar , Gangwar Ayush , Ahmad Anas , Maurya Ayush Pratap , Rai Anil K. , Ahuja Hemant 
Published: August 2023

Abstract
The renewable energy source that is now expanding the fastest is solar energy. It is expanding quickly because of its many applications and affordable upkeep. In order to maintain a consistent output voltage, the DC-DC power electronic converter is integrated with the solar PV system. This study examines SEPIC and ZETA converters in conjunction with a solar PV array. In this study, many characteristics like DC voltage, inductance, capacitance, and voltage are discussed. This research also compares and contrasts the SEPIC and ZETA converters. The MATLAB/Simulink environment is used for all work. When all the parameters are set to certain standard values, waveforms are produced. This demonstrates how changing a few parameters could produce distinct waveforms.
Optimal Solution of reactive power dispatch under normal and contingency condition using Rao algorithms
Authors: Sharma Ritesh , Kumar Narendra 
Published: August 2023

Abstract
Rao suggested three straight forward, metaphor-free optimization strategies to address the challenging optimization issue. These algorithms are approaches for optimization without parameters. As a result, no parameter modification unique to an algorithm is needed. This feature makes these algorithms simple to use and effective at resolving a wide range of difficult engineering and scientific challenges. This paper’s main objective is to use the Rao method to resolve the reactive power dispatch problem under both regular and emergency circumstances. The suggested method’s reliability was tested using these techniques in standard IEEE 30 bus test systems. Overall reactive power dispatch (RPD) results of Rao algorithms were matched with those of recently published well-known methods. Rao algorithms produce accurate and competitively priced numerical results.
The VSC-HVDC Transmission System Performance Assessment
Authors: Gandotra Rupika , Kanika  , Pal Kirti 
Published: August 2023

Abstract
As the use of renewable resources increases the transfer of power from remote area to consumer is a big challenge. Therefore, Voltage Source Converter High Voltage Direct Current (VSC-HVDC) transmission is gaining more popularity for integration of renewable energy generators to the consumers using smart grid. Even after many advantages of HVDC transmission system it is not used popularly due to unexpected instability in the system. However recent developments in semiconductor devices and control techniques the HVDC link operation in transmission system becomes easier. In this paper VSC based HVDC system is designed with AC-DC converter model for power flow assessment of both sides of HVDC link. To analyze the proposed model a simulation model of 75km DC line with voltage source converter (VSC) based AC-DC converter model on both side of DC line is designed in a MATLAB environment. HVDC link efficiency is calculated by analyzing power flow through AC lines at both ends of HVDC line.
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations
Authors: Wang Zixiao , Liang Shiyang , Liu Siwei , Meng Zhaohan , Wang Jingjie , Liang Shangsong 
Published: August 2023

Abstract
MicroRNAs (miRNAs) silence genes by binding to messenger RNAs, whereas long non-coding RNAs (lncRNAs) act as competitive endogenous RNAs (ceRNAs) that can relieve miRNA silencing effects and upregulate target gene expression. The ceRNA association between lncRNAs and miRNAs has been a research hotspot due to its medical importance, but it is challenging to verify experimentally. In this paper, we propose a novel deep learning scheme, i.e. sequence pre-training-based graph neural network (SPGNN), that combines pre-training and fine-tuning stages to predict lncRNA–miRNA associations from RNA sequences and the existing interactions represented as a graph. First, we utilize a sequence-to-vector technique to generate pre-trained embeddings based on the sequences of all RNAs during the pre-training stage. In the fine-tuning stage, we use Graph Neural Network to learn node representations from the heterogeneous graph constructed using lncRNA–miRNA association information. We evaluate our proposed scheme SPGNN on our newly collected animal lncRNA–miRNA association dataset and demonstrate that combining the $k$-mer technique and Doc2vec model for pre-training with the Simple Graph Convolution Network for fine-tuning is effective in predicting lncRNA–miRNA associations. Our approach outperforms state-of-the-art baselines across various evaluation metrics. We also conduct an ablation study and hyperparameter analysis to verify the effectiveness of each component and parameter of our scheme. The complete code and dataset are available on GitHub: https://github.com/zixwang/SPGNN.
143. NEOADJUVANT CHEMORADIOTHERAPY VERSUS CHEMOTHERAPY FOR THE TREATMENT OF LOCALLY ADVANCED ESOPHAGEAL ADENOCARCINOMA IN THE EUROPEAN MULTICENTER ENSURE STUDY
Authors: Elliott Jessie , Klevebro Fredrik , Mantziari Styliani , Markar Sheraz R , Goense Lucas , Johar Asif , Lagergren Pernilla , Zaninotto Giovanni , Hillegersberg Richard , Berge Henegouwen Mark I , Schäfer Markus , Nilsson Magnus , Hanna George B , Reynolds John V ,   ENSURE study group
Published: August 2023

Abstract

Background
nCT and nCRT are the standard of care for locally advanced esophageal cancer (LAEC) treated with curative intent. However, no published randomized controlled trial to date has demonstrated superiority of either approach. This study aimed to compare clinicopathologic, oncologic and health-related quality of life (HRQL) outcomes following neoadjuvant chemoradiation (nCRT) and chemotherapy (nCT) in the ENSURE international multicenter study.

Methods
ENSURE is an international multicenter study of consecutive patients undergoing surgery for LAEC (2009–2015) across 20 high-volume centers (NCT03461341). The primary outcome measure was overall survival (OS), secondary outcomes included histopathologic response, recurrence pattern, oncologic outcome, and HRQL in survivorship.

Results
2211 patients were studied (48% nCT, 52% nCRT). pCR was observed in 4.9% and 14.7% (P &lt; 0.001), with R0 in 78.2% and 94.2% (P &lt; 0.001) post nCT and nCRT, respectively. Postoperative morbidity was equivalent, but in-hospital mortality was independently increased (HR 2.73, 95%CI 1.43–5.21, P = 0.002) following nCRT vs nCT. Probability of local recurrence was reduced (OR 0.71, 956% CI 0.54–0.93, P = 0.012), and distant recurrence free survival time reduced (HR 1.18, 95% CI 1.02–1.37, P = 0.023) after nCRT vs nCT, with no difference in OS among all patients (HR 1.10, 95% CI 0.98–1.25, P = 0.113). On subgroup analysis, patients who underwent R0 resection following nCT as compared with nCRT had improved OS (median 60.7, 95% CI 49.5–71.8 months, vs 40.8, 95% CI 42.8–53.4, P &lt; 0.001).

Conclusion
In this European multicenter study, nCRT compared with nCT was associated with reduced probability of local recurrence but reduced distant recurrence free survival for patients with LAEC, without differences in overall survival. These data support tailored patient-specific decision-making in the overall approach to achieving optimum outcomes in LAEC.
145. PRECISE PATTERN OF LYMPHATIC SPREAD OF ESOPHAGEAL SQUAMOUS CELL CARCINOMA RESULTS OF 1074 PATIENTS WITH N1 DISEASE
Authors: Li Bin 
Published: August 2023

Abstract

Objective
The precise pattern of lymphatic spread in esophageal cancer remains unclear. The present study aimed to determine the pattern of lymphatic metastasis in its early stages.

Methods
The data were reviewed of 1074 patients who underwent curative esophagectomy for thoracic esophageal squamous cell carcinoma and metastasis in 1–2 lymph nodes between January 2015 and December 2021. The frequencies of lymph node metastasis were analyzed by the anatomic sites and regions involved.

Results
Of the 1074 patients, the median number of resected lymph nodes was 27 (interquartile range, 20–35). There were 668 patients (62.2%) with one positive lymph node and 406 patients (37.8%) with two positive lymph nodes. Paracardial lymph nodes were the most frequently involved nodes (35.2%), followed by the right thoracic recurrent nerve nodes (24.0%) and middle thoracic paraesophageal nodes (14.7%). The majority of lymph node metastases occurred in the longitudinal direction to the perigastric (35.2%) and bilateral recurrent nerve regions (33.0%) and in the transverse direction to the paraesophageal region (27.7%). Deep tumor depth (P = 0.047), poor tumor differentiation (P = 0.038), and lymphovascular invasion (P = 0.023) were associated with lymph node metastasis.

Conclusion
Perigastric nodes, bilateral recurrent nerve nodes, and paraesophageal lymph nodes were the most common early lymph node metastasis regions. Esophageal squamous cell carcinoma involves more longitudinal than transverse lymph node metastases. Two-field lymphadenectomy should include the radical lymph nodes dissection both in the upper mediastinum and in the upper abdomen.
169. PROPENSITY SCORE MATCHING ANALYSIS OF THE EFFECT ON PROGNOSIS OF PROPHYLACTIC NECK DISSECTION FOR ESOPHAGEAL CANCER
Authors: Nishida Masato , Sato Shinsuke , Nagai Erina , Taki Yusuke , Watanabe Masaya , Oba Noriyuki 
Published: August 2023

Abstract

Background
There is still no definite evidence regarding the prognostic effect of #104 prophylactic dissection.
Materials and Methods: We conducted a retrospective study of patients who underwent esophagectomy regarding the prognostic effect of #104 prophylactic dissection by propensity score matching analysis. Between 2012/1 and 2020/12, 302 patients with esophageal malignant tumors underwent radical subtotal esophagectomy via the right thoracic approach at our hospital. The histological types were limited to squamous cell carcinoma, adenocarcinoma, and basal cell carcinoma, and clinical (c)T4b (TNM 7th edition), cM1, cervical esophageal cancer, salvage surgery cases, R1/2 cases, and cases with synchronous advanced multiple cancers were excluded. This resulted in the analysis of the 220 cases comparing between the 3-filed and 2-filed dissection groups. R version 4.1.2 was used for statistical analysis. The predicted probability of #104 dissection was calculated by logistic regression model.
Propensity score matching was performed to match patients between 2 groups according to age, tumor location, preoperative treatment, postoperative pneumonia, pathological (p)T factor, and pN factor by nearest neighbor method within caliper. P &lt; 0.05 was considered statistically significant.

Results
Both DSS and DFS were significantly better in the 2-filed dissection group. Baseline characteristics showed that the 3-filed dissection group had significantly more patients of tumor location Mt and Ut, more squamous cell carcinoma as the histologic type, and more cases with preoperative treatment. In the 3-field dissection group, operative time was significantly longer and the postoperative complications was increased such as recurrent nerve palsy and cervical lymphatic leakage. Pathologic results showed higher grades of pT and pN. Four patients in the 3-field dissection group had p104 metastasis, and only 1 of these survived without recurrence. On the other hand, 5 patients of the 2-field dissection group had #104 as the first recurrence site, and 3 of these had simultaneous distant metastasis. There was no significant difference in DSS and DFS between groups after propensity score matching (DSS p = 0.852, DFS p = 0.768).

Conclusions
This retrospective study did not confirm a prognostic benefit of prophylactic dissection of the #104 region. This will be elucidated by results of the ongoing RCT, JCOG2013 trial.