bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of deprivation on colorectal cancer‐stage distribution in a setting with high hospital bed density: A Japanese multilevel study
Authors: Shibata Toshiaki , Shinjo Daisuke , Fushimi Kiyohide 
Published: July 2024

AbstractBackgroundA methodology for determining the appropriate balance between medical access and combating poverty remains undetermined. To address the boundary conditions for exceedingly good medical access, this study examined whether the impact of deprivation on cancer stage distribution could be eliminated in Japan, which has the highest hospital bed density in the world.MethodsA nationwide medical claims‐based database was used to evaluate the influence of municipality‐level hospital bed density and the postal code‐level areal deprivation index on cancer stage at diagnosis. Given the limited number of similar studies in Japan, we focused on colorectal cancer (CRC), for which disparities have been reported in a prefecture‐level study. Multilevel multivariate logistic regression models were used, with odds ratios (ORs) and 95% confidence intervals (CIs) adjusted for baseline and socioeconomic factors.ResultsRegardless of the early/advanced‐stage definitions, CRC consistently tended to be detected at more advanced stages in more deprived areas. In the analysis of stages 0–I/II–IV, the OR (95% CI) was 1.09 (1.05, 1.14) (p < 0.001). In the analyses of stages 0–I/II–IV and 0–II/III–IV, gradients were observed, and later detections were observed for more deprived segments. Hospital bed density was not significantly associated with the stage distribution.ConclusionThe results indicate that inequalities in CRC detection due to deprivation persist even in the country with the highest hospital bed density worldwide, suggesting that poverty measures remain indispensable regardless of hospital bed access. Further investigation of various regions and cancers is required to develop a practical framework.
Predictive value of circulating lymphocyte subsets and inflammatory indexes for neoadjuvant chemoradiotherapy response in rectal mucinous adenocarcinoma patients: A machine learning approach
Authors: Lin Yu , Sun Yanwu , Jiang Weizhong , Deng Yu , Huang Ying , Chi Pan 
Published: July 2024

AbstractIntroductionIn this study, we aimed to evaluate the predictive value of circulating lymphocyte subsets and inflammatory indexes in response to neoadjuvant chemoradiotherapy (NCRT) in patients with rectal mucinous adenocarcinomas (MACs).MethodsRectal MAC patients who underwent NCRT and curative resection at Fujian Medical University Union Hospital's Department of Colorectal Surgery between 2016 and 2020 were included in the study. Patients were categorized into good and poor response groups based on their pathological response to NCRT. An independent risk factor‐based nomogram model was constructed by utilizing multivariate logistic regression analysis. Additionally, the extreme gradient boosting (XGB) algorithm was applied to build a machine learning (ML)‐based predictive model. Feature importance was quantified using the Shapley additive explanations method.ResultsOut of the 283 participants involved in this research, 190 (67.1%) experienced an unfavorable outcome. To identify the independent risk factors, logistic regression analysis was performed, considering variables such as tumor length, pretreatment clinical T stage, PNI, and Th/Tc ratio. Subsequently, a nomogram model was constructed, achieving a C‐index of 0.756. The ML model exhibited higher prediction accuracy than the nomogram model, achieving an AUROC of 0.824 in the training set and 0.762 in the tuning set. The top five important parameters of the ML model were identified as the Th/Tc ratio, neutrophil to lymphocyte, Th lymphocytes, Gross type, and T lymphocytes.ConclusionRadiochemotherapy sensitivity is markedly influenced by systemic inflammation and lymphocyte‐mediated immune responses in rectal MAC patients. Our ML model integrating clinical characteristics, circulating lymphocyte subsets, and inflammatory indexes is a potential assessment tool that can provide a reference for individualized treatment for rectal MAC patients.
Psychological and social wellbeing associated with regional population change in Finland
Authors: Jokela Markus , Laakasuo Michael , Parikka Suvi , Rotkirch Anna , Hämäläinen Hans 
Published: July 2024

AbstractRegional depopulation is an increasingly common demographic issue in many countries, as population growth becomes concentrated in small number of urban centres. Depopulation has adverse effects on the region's socioeconomic development, and often leads to worse living circumstances, such as poor availability of services. Population growth, by contrast, has many socioeconomic benefits but may also introduce unwanted consequences, such as urban alienation. However, the associations of regional population change with inhabitants' psychological and social wellbeing have not been examined as extensively as the associations with socioeconomic outcomes. With a large survey dataset from Finland (n = 99,034 participants from 299 municipalities), we examined whether regional, municipality‐level population decline and growth over the preceding 10 years were associated with psychological and social wellbeing of the inhabitants of the municipalities. We were specifically interested in whether growth and decline were both related to these outcomes, or whether the associations were more pronounced for either decline or growth. Overall negative population change was related to lower social wellbeing (e.g., lower social support) and that these associations were more pronounced for the adverse associations of population decline than for the beneficial associations of population growth (e.g., less frequent social contact and higher risk of loneliness). Population change was not associated with inhabitants' depressive symptoms. These findings suggest that regional population decline can be particularly relevant for worsening social wellbeing of the inhabitants.
Impact of stentablation with rotational atherectomy in coronary microcirculatory function
Authors: Tabata Tatsuya , Abe Masami , Uehara Hiroki 
Published: July 2024

Key Clinical MessageStentablation (SA) has been used as a bailout method for undilated, under‐expanded stents, but one reason that SA is associated with a high rate of major adverse cardiac events may be its adverse effect on microcirculation. Consequently, appropriate lesion preparation should always be considered for heavily calcified lesions to avoid such complications.AbstractUnder‐expansion of the coronary stent is associated with increased rates of in‐stent restenosis and thrombosis. Stentablation (SA) with rotational atherectomy is used in the treatment of undilatable, under‐expanded coronary stents; however, its effect on coronary microcirculatory function remains unclear. This novel report compares microcirculation indices before and after SA.
Visible‐Light‐Induced Multi‐Component Nitrooxylation Reactions of α‐Diazoesters, Cyclic Ethers, and Tert‐Butyl Nitrite Leading to Organic Nitrate Esters
Authors: Qian Cun‐Wei , Li Xian , Gu Meng‐Qing 
Published: July 2024

AbstractA simple and efficient strategy has been developed for the synthesis of organic nitrate esters via visible‐light‐induced multi‐component nitrooxylation reactions of α‐diazoesters, cyclic ethers, and tert‐butyl nitrite under open air atmosphere. This transformation could be conducted under mild and metal‐free conditions to provide a number of organic nitrate esters in moderate to good yields using air as the green oxidant.
Adaptive capacity of winter wheat to potential drought in Beijing–Tianjin–Hebei region under RCP8.5 scenario
Authors: Ying Guo , Ma Fen , Yingchun Li , Heran Wang , Zhengping Peng , Lianxing Ge 
Published: July 2024

AbstractDrought is more frequent and intensified due to global warming. Changed conditions in Beijing‐Tianjin–Hebei region which is drier and warmer than before, make it necessary to investigate various optimized irrigation schemes in the winter wheat production. In this study, the DSSAT–CERES‐Wheat model verified by field experimental data was applied to simulate the yield of winter wheat in Beijing–Tianjin–Hebei region from 2010 to 2069a under RCP8.5 climate scenario. The irrigation schemes were set up by adjusting the irrigation amount and irrigation structure to evaluate their adaptive capacity to climate change. The results showed that the regional average yield reduction rates of potential drought were 81.98% and 78.86% in 2010–2039a and 2040–2069a, which were higher in the north than that in the south. The yield reduction rate of potential drought increased with the decrease of irrigation amount, and the adaptive capacity declined with the decrease of irrigation amount, under the same irrigation structure. When 3‐9‐6 irrigation structure was applied, the regional averages of adaptive capacity to potential drought were 28.30%, 26.23%, and 22.22% in 2010–2039a, 29.00%, 26.67%, and 21.76% in 2040–2069a. The shortage of water resources caused by climate change and the possibility of drought limit the potential yield of winter wheat as high as 80% in this region. Priority shall be given to meeting the water demand in jointing stage and filling stage. Irrigation scheme of 3‐9‐6 structure with 180 mm irrigation amount shall be recommended and its adaptive capacity to climate change is the strongest in the near term and the medium‐term. Even if a further 20% reduction in irrigation is applied (144 mm), the dual goals of reducing yield loss and saving 8.28 × 108 t irrigation water per winter wheat season can be achieved.
Accuracy and efficiency of finite element head models: The role of finite element formulation and material laws
Authors: Gomes Marcos S. , Carmo Gustavo P. , Ptak Mariusz , Fernandes Fábio A. O. , Alves de Sousa Ricardo J. 
Published: July 2024

AbstractTraumatic brain injury is a significant problem worldwide. In the United States of America, around 1.7 million cases are documented annually, displaying the need for a deeper understanding of the effects on the human brain. The tests required for this assessment are very complex. Tests on cadavers may raise serious ethical questions, and in vivo crash tests are not viable. In this context, there is a great need to developing finite element head models (FEHM) to study the biomechanics of the tissues when submitted to a certain impact or acceleration/deceleration scenario. An excellent compromise between accuracy and CPU efficiency is always desirable for a FEHM, For this reason, this work focuses on the improvement of an existing head model, including the study of the behavior of the brain using distinct finite element types. The finite element type and formulation is of utmost importance for the general accuracy and efficiency of the models. Several validations were performed, comparing the simulation results against experimental data. The simulations with hexahedral elements, under specific conditions, obtained more accurate results with a lower computational cost. Using hexahedrals, a comparison was also performed using two material characterizations with more than 10 years apart, using the latest finite element head model validation experiment. Overall, the newer material model displays a less stiff response, although its implementation must always depend on the overall purpose of the model it is being applied to.
Architecture and performance of Perlmutter's 35 PB ClusterStor E1000 all‐flash file system
Authors: Lockwood Glenn K. , Chiusole Alberto , Gerhardt Lisa , Lozinskiy Kirill , Paul David , Wright Nicholas J. 
Published: July 2024

SummaryNERSC's newest system, Perlmutter, features a 35 PB all‐flash Lustre file system built on HPE Cray ClusterStor E1000. We present its architecture, early performance figures, and performance considerations unique to this architecture. We demonstrate the performance of E1000 OSSes through low‐level Lustre tests that achieve over 90% of the theoretical bandwidth of the SSDs at the OST and LNet levels. We also show end‐to‐end performance for both traditional dimensions of I/O performance (peak bulk‐synchronous bandwidth) and nonoptimal workloads endemic to production computing (small, incoherent I/Os at random offsets) and compare them to NERSC's previous system, Cori, to illustrate that Perlmutter achieves the performance of a burst buffer and the resilience of a scratch file system. Finally, we discuss performance considerations unique to all‐flash Lustre and present ways in which users and HPC facilities can adjust their I/O patterns and operations to make optimal use of such architectures.
The quality evaluation system of ideological and political classroom teaching in universities based on GA‐BP algorithm
Authors: Jing Guohua 
Published: July 2024

SummaryThe advancement of teaching quality is an indispensable section of the reform and growth of universities, and ideological and political education has critical impact on ideological education. The quality of classroom education can provide data support for efficient development, and has crucial influence on achieving scientific, reasonable, and accurate evaluation of ideological and political teaching performance. Thus, a performance assessment system for ideological and political education in universities with genetic algorithm optimized neural network algorithm is put forward. First, based on existing teaching evaluation indicators and combined with actual situations, a targeted teaching quality evaluation system is proposed. Then, based on BP, an adaptive genetic algorithm is proposed for improvement, and the output results are improved using entropy method. The results indicated that the proposed model could reach its optimal state after 81 iterations in this study. In the fitting test, it reached 0.971. In actual testing, the average error was only 2.68, which was much bigger than the other three algorithms. Its accuracy was 2%–3.2% higher than that of the best existing algorithms. These results indicated that the method put forward in this study had better practical significance, lower error, more accurate evaluation results, and offered scientific data support for the education reform work of universities, which can better accelerate the development and construction of universities.
On the Interplay Between Force, Temperature, and Electric Fields in the Rupture Process of Mechanophores
Authors: Scheele Tarek , Neudecker Tim 
Published: July 2024

AbstractThe use of oriented external electric fields (OEEFs) shows promise as an alternative approach to chemical catalysis. The ability to target a specific bond by aligning it with a bond‐weakening electric field may be beneficial in mechanochemical reactions, which use mechanical force to selectively rupture bonds. Previous computational studies have focused on a static description of molecules in OEEFs, neglecting to test the influence of thermal oscillations on molecular stability. Here, we performed ab initio molecular dynamics (AIMD) simulations based on density functional theory (DFT) to investigate the behaviour of a model mechanophore under the simultaneous influence of thermal and electric field effects. We show that the change in bond length caused by a strong electric field is largely independent of the temperature, both without and with mechanical stretching forces applied to the molecule. The amplitude of thermal oscillations increases with increasing field strength and temperature, but at low temperatures, the application of mechanical force leads to an additional increase in amplitude. Our research shows that methods for applying mechanical force and OEEFs can be safely combined and included in an AIMD simulation at both low and high temperatures, allowing researchers to computationally investigate mechanochemical reactions in realistic application scenarios.
Excimer‐Induced Efficient Luminescence by Discrete Intermolecular π−π Stacking of Naphthalimide‐Based Dimer
Authors: Wang Shiyin , Yang Daojie , Liu Haichao , Zhang Shi‐Tong , Yang Bing 
Published: July 2024

Abstractπ−π stacking interactions are generally thought to reduce the luminescence of materials. Here, a systematic investigation is conducted using a π−π stacking dimer with varying steric hindrance substituents as a model to illustrate how π−π stacking structure affects the luminescence efficiency of materials. Four naphthalimide (NI) derivative molecules were designed and synthesized by incorporating sterically hindered unilateral groups to achieve NIPH, NIP1C, NIP2C, and NIP3C. It was figured out that side group modification did affect their crystal packing structures and luminescent properties. On the one hand, the excimer state formed by strongly interacted π−π NI‐based dimer (NIPH and NIP3C) enhances luminescence efficiency compared to the monomer state based on weakly interacted π−π NI‐based dimers (NIP1C and NIP2C). On the other hand, the discrete stacking of NI‐based dimers (NIP3C) further promotes luminescence efficiency compared to the nondiscrete stacking of NI‐based dimers (NIPH). Among these four compounds, NIP3C exhibits discrete stacking of π−π NI‐based dimer due to the large steric hindrance generated by propyl benzene, resulting in the highest luminescence efficiency of the NIP3C crystal. This work will provide further insight into the underlying mechanisms behind the high luminescence efficiency induced by π−π dimer stacking.
A two‐step sizing method for multistage Op Amps based on behavioral initial sizing followed by Spice‐in‐the‐loop refining
Authors: Xie Qixu , Shi Guoyong 
Published: July 2024

AbstractAnalog integrated circuit sizing is a laborious process that requires many times of iteration with Spice simulations. Even by applying the method, it still requires iterations and test assignment of device values (and biasings) in each iteration until reaching a satisfactory sizing result. When facing a design of multiple‐stage circuits (such as multiple‐stage operational amplifier [Op Amp]), sizing becomes more challenging due to the requirement on pole‐zero placement in order to achieve a better high‐frequency performance. Simulation‐in‐the‐loop method has been the dominating means taken by a great many of existing circuit sizer, but they suffer from intolerable runtime while lacking the possibility of offering insight or design knowledge acquisition. On the other hand, behavioral‐level synthesis methods, although intuitive and fast, suffer from accuracy loss due to the adoption of simplified device models and significantly condensed design equations. However, a proper combination of these two types of methods could lead to a lucrative research territory, yet it demands a methodological development for efficient deployment in practice, namely, implementation easy, less runtime, and guaranteed sizing quality. In this paper, we propose atwo‐stepmethod that takes the advantage of behavioral synthesis (in the first step) that is capable of fast and broader coverage of design space then makes correction (in the second step) on sizing refining by Spice simulation. Due to the profiling knowledge acquired on the design space in the first step, it can avoid blindness of the optimization landscape that is faced by many simulation‐centric methods which could easily get trapped in local optima. Conducted experiments over eight three‐stage Op Amps with different compensation configurations, including nested Miller capacitor (NMC), NMC with feedforward path (NMCF), NMC with feedforward path and nulling resistor (NMCFNR), NMC with nulling resistor (NMCNR), double pole‐zero cancellation (DPZC), transconductance with capacitances feedback compensation (TCFC), impedance adapting compensation (IAC), active feedback frequency compensation (AFFC), have validated that the proposed method can successfully generate qualified sizing results, offering an opportunity to compare fairly what merit a specific compensation strategy could possibly have.
Millimeter wave–3D massive MIMO: Deep prior‐aided graph neural network combining with hierarchical residual learning for beamspace channel estimation
Authors: Sudarsan Haridoss , Mahendran Krishnakumar , Rathika Srinivasan , Ananth Subburaj Nagan Yoga 
Published: July 2024

SummaryMillimeter Wave (mmWave) communication has emerged as a transformative technology at the forefront of wireless communication. One of the key challenges in harnessing the potential of mmWave technology is overcoming the increased susceptibility to propagation losses and environmental obstacles. To address these challenges, Three‐Dimensional Massive Multiple‐Input Multiple‐Output (3D Massive MIMO) systems have gained traction. The 3D aspect extends this concept by considering the elevation dimension, allowing for enhanced spatial resolution and coverage. Accurate estimation of the channel in 3D Massive MIMO scenarios is particularly challenging because of the complex propagation characteristics of mmWave signals. This paper introduces an efficient‐Aided Graph Neural Network Combining with Hierarchical Residual Learning (DPrGNN‐HrResNetL), designed specifically for beamspace Channel Estimation (CE)in mmWave‐Massive MIMO environments. The proposed model leverages deep priors and GNN mechanisms to enhance the extraction of spatial features, while hierarchical residual connections facilitate effective information flow through the network. DPrGNN enables the model to capture and understand complex spatial relationships among different antenna elements. The incorporation of deep priors provides a mechanism for leveraging prior knowledge about channel characteristics. This enhances the efficiency of the learning process, allowing the model to learn and adapt more effectively. The integration of hierarchical residual connections facilitates effective information flow through the network. This is particularly important for modeling complex dependencies within the beamspace channel data, enhancing the learning capacity of the network. The performance of the DPrGNN‐HrResNetL model is evaluated across a range of Signal‐to‐Noise Ratios (SNRs), utilizing metrics such as Normalized Mean Squared Error (NMSE) to measure the accuracy of the estimation. The outcomes underscore the resilience and efficacy of the DPrGNN‐HrResNetL approach in achieving precise CE within demanding mmWave scenarios.
A compact wideband low‐profile all textile on/off body antenna for Satcom and defense applications
Authors: Kumar Baudh Rishabh , Sahu Sonal , Singh Parihar Manoj , Kumar V. Dinesh 
Published: July 2024

SummaryA compact, flexible, low‐profile end‐fire broadband wearable antenna operating in Ku‐band /X‐band is proposed in this manuscript for defense and satellite communications (Satcom) applications. The main objective of this work is cross‐polarization reduction by the defected ground structure (DGS), which offers a wider bandwidth. Due to its flexibility and ability to absolutely conform to the curved‐shaped human body, denim fabric is used as a substrate, whereas copper tape is used as a conductor, which allows for the integration of the antenna into garments and makes it appropriate for a wide range of wearable applications in various bands. The prototype has been developed with a size of
mm3 for experimental validation. The measured results from a fabricated prototype are well matched with the simulated ones of the proposed design, which indicate a wide bandwidth of 57.35% (7.76–14 GHz) appropriate for use in applications such as defense operating from 8 to 12 GHz, satellite TV (11.7–12.2 GHz), Ku‐band downlink (10.95–11.7 GHz), Ku‐band uplink (11.7–14.5 GHz), and a high gain of 5.1 dBi. The specific absorption rate (SAR) is much below the permissible limit of 1.6 W/kg, with better radiation characteristics. Thus, the proposed antenna is more compact, and it clearly achieves a smaller footprint, larger impedance bandwidths, and a low SAR with potential prospect for Satcom and defense purposes.