bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theory of resonantly enhanced photo-induced superconductivity
Authors: Eckhardt Christian J. , Chattopadhyay Sambuddha , Kennes Dante M. , Demler Eugene A. , Sentef Michael A. , Michael Marios H. 
Published: March 2024

AbstractOptical driving of materials has emerged as a versatile tool to control their properties, with photo-induced superconductivity being among the most fascinating examples. In this work, we show that light or lattice vibrations coupled to an electronic interband transition naturally give rise to electron-electron attraction that may be enhanced when the underlying boson is driven into a non-thermal state. We find this phenomenon to be resonantly amplified when tuning the boson’s frequency close to the energy difference between the two electronic bands. This result offers a simple microscopic mechanism for photo-induced superconductivity and provides a recipe for designing new platforms in which light-induced superconductivity can be realized. We discuss two-dimensional heterostructures as a potential test ground for light-induced superconductivity concretely proposing a setup consisting of a graphene-hBN-SrTiO3 heterostructure, for which we estimate a superconducting Tc that may be achieved upon driving the system.
Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues
Authors: Gao Hongyan , Wang Zhien , Yang Feiyu , Wang Xiaoyu , Wang Siqi , Zhang Quan , Liu Xiaomeng , Sun Yubing , Kong Jing , Yao Jun 
Published: March 2024

AbstractCardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies.
Subwavelength dielectric waveguide for efficient travelling-wave magnetic resonance imaging
Authors: Gao Yang , Liu Tong , Hong Tao , Fang Youtong , Jiang Wen , Zhang Xiaotong 
Published: March 2024

AbstractMagnetic resonance imaging (MRI) has diverse applications in physics, biology, and medicine. Uniform excitation of nuclei spins through circular-polarized transverse magnetic component of electromagnetic field is vital for obtaining unbiased tissue contrasts. However, achieving this in the electrically large human body poses a significant challenge, especially at ultra-high fields (UHF) with increased working frequencies (≥297 MHz). Canonical volume resonators struggle to meet this challenge, while radiative excitation methods like travelling-wave (TW) show promise but often suffer from inadequate excitation efficiency. Here, we introduce a new technique using a subwavelength dielectric waveguide insert that enhances both efficiency and homogeneity at 7 T. Through TE11-to-TM11 mode conversion, power focusing, wave impedance matching, and phase velocity matching, we achieved a 114% improvement in TW efficiency and mitigated the center-brightening effect. This fundamental advancement in TW MRI through effective wave manipulation could promote the electromagnetic design of UHF MRI systems.
Screening and validation of reference genes in Dracaena cochinchinensis using quantitative real-time PCR
Authors: Gao Shixi , Peng Junxiang , Rong Mei , Liu Yang , Xu Yanhong , Wei Jianhe 
Published: March 2024

AbstractDragon's blood, the red resin derived from the wounded Dracaena, is a precious traditional medicine used by different culture. Dracaena cochinchinensis is one of the main species of Dracaena, and is the endangered medicinal plants in China. The vulnerable status severely limits the medicinal value and wide application of dragon’s blood. Therefore, it’s essential to analyze the mechanisms that form dragon’s blood in order to increase artificial production. To clarify the mechanisms forming dragon’s blood, understanding gene expression in the flavonoid biosynthesis pathway is the foundation. However, reference genes of D. cochinchinensis haven’t been analyzed. In this study, expression profiles of seven commonly used housekeeping genes (Actin, α-EF, UBC, β-tubulin, 18S, GAPDH, His) were evaluated by using quantitative real-time PCR combined with the algorithms geNorm, NormFinder, BestKeeper, and RefFinder. On the basis of overall stability ranking, the best reference genes were the combinations β-tubulin +UBC for wounded stems and α-EF +18S + Actin for different organs. Reliability of the recommended reference genes was validated by normalizing relative expression of two key enzyme genes PAL1 and CHI1 in the flavonoid biosynthesis pathway. The results provide a foundation to study gene expression in future research on D. cochinchinensis or other Dracaena.
GestureMoRo: an algorithm for autonomous mobile robot teleoperation based on gesture recognition
Authors: Chen Lei , Li Chunxu , Fahmy Ashraf , Sienz Johann 
Published: March 2024

AbstractGestures are a common way people communicate. Gesture-based teleoperation control systems tend to be simple to operate and suitable for most people’s daily use. This paper employed a LeapMotion sensor to develop a mobile robot control system based on gesture recognition, which mainly established connections through a client/server structure. The principles of gesture recognition in the system were studied and the relevant self-investigated algorithms—GestureMoRo, for the association between gestures and mobile robots were designed. Moreover, in order to avoid the unstably fluctuated movement of the mobile robot caused by palm shaking, the Gaussian filter algorithm was used to smooth and denoise the collected gesture data, which effectively improved the robustness and stability of the mobile robot’s locomotion. Finally, the teleoperation control strategy of the gesture to the WATER2 mobile robot was realized, and the effectiveness and practicability of the designed system were verified through multiple experiments.
A study on the impact of marital status on the survival status of prostate cancer patients based on propensity score matching
Authors: Chen Qingquan , Zhu Xi , Hu Yiming , Chen Yao , Dai Rongrong , Li Jiaxin , Zhuang Jiajing , Lin Yifei , Zeng Yifu , You Liuxia , Zeng Yanyu , Huang Qian 
Published: March 2024

AbstractMarital status is an independent prognostic factor for survival in many types of cancers, but its prognostic impact on patients with prostate cancer (PCa) has not been established. The aim of this study was to explore the independent prognostic factors of PCa and to investigate the effect of marital status on survival outcomes in patients with different stratified by PCa. Using the surveillance, epidemiology, and end results (SEER) database, we collected data on 584,655 PCa patients diagnosed between 1975 and 2019. Marital status was classified as married, divorced, widowed, and single. We used the Kaplan–Meier analysis and single multivariate Cox proportional hazards regression analysis to determine the effect of marital status on overall survival (OS) and cancer-specific survival (CSS). In addition, we performed subgroup analyses for different ages, Gleason score and PSA values, and performed a 1:1 propensity score matching (PSM) to reduce the impact of confounding factors to obtain more accurate matching results. According to our findings, marital status was an independent prognostic factor for the survival of PCa patients and a better prognosis of married patients. Moreover, we also found that factors such as age, TNM stage, Gleason score, and PSA concentration were also considered as important predictors for the prognosis of PCa. The above findings can facilitate early detection and treatment of high-risk PCa patients, prolong their life and reduce family burden.
Machine learning-based algorithms applied to drug prescriptions and other healthcare services in the Sicilian claims database to identify acromegaly as a model for the earlier diagnosis of rare diseases
Authors: Crisafulli Salvatore , Fontana Andrea , L’Abbate Luca , Vitturi Giacomo , Cozzolino Alessia , Gianfrilli Daniele , De Martino Maria Cristina , Amico Beatrice , Combi Carlo , Trifirò Gianluca 
Published: March 2024

AbstractAcromegaly is a rare disease characterized by a diagnostic delay ranging from 5 to 10 years from the symptoms’ onset. The aim of this study was to develop and internally validate machine-learning algorithms to identify a combination of variables for the early diagnosis of acromegaly. This retrospective population-based study was conducted between 2011 and 2018 using data from the claims databases of Sicily Region, in Southern Italy. To identify combinations of potential predictors of acromegaly diagnosis, conditional and unconditional penalized multivariable logistic regression models and three machine learning algorithms (i.e., the Recursive Partitioning and Regression Tree, the Random Forest and the Support Vector Machine) were used, and their performance was evaluated. The random forest (RF) algorithm achieved the highest Area under the ROC Curve value of 0.83 (95% CI 0.79–0.87). The sensitivity in the test set, computed at the optimal threshold of predicted probabilities, ranged from 28% for the unconditional logistic regression model to 69% for the RF. Overall, the only diagnosis predictor selected by all five models and algorithms was the number of immunosuppressants-related pharmacy claims. The other predictors selected by at least two models were eventually combined in an unconditional logistic regression to develop a meta-score that achieved an acceptable discrimination accuracy (AUC = 0.71, 95% CI 0.66–0.75). Findings of this study showed that data-driven machine learning algorithms may play a role in supporting the early diagnosis of rare diseases such as acromegaly.
Gas-entry pressure impact on the evaluation of hydrogen migration at different scales of a deep geological disposal of radioactive waste
Authors: Saâdi Zakaria 
Published: March 2024

AbstractAlthough the importance of gas-entry pressure in simulating two-phase liquid–gas flow in porous media has been studied at the column and borehole scales, its impact on the simulation of transient hydraulic-gas at different scales of a deep geological repository of radioactive waste (DGR) in low permeability clay rock during the post-closure phase has not yet been studied. The purpose of this work is to show that neglecting this phenomenon can lead to underestimation of the maximum gas pressure and water–gas fluxes simulated within the host rock and backfilled drift network. This could impact the performance of the engineered barrier system of a DGR. Simulations performed for a high-level waste disposal cell and for a simplified repository composed of hundreds of disposal cells situated in a clay host rock, show that gas preferentially migrates through the DGR components with low capillary entry pressures, such as the excavation damaged zone (Refers to the zone where fractures develop due to failure of the rock mass around galleries after tunneling) (EDZ), the engineered barriers materials (backfill, bentonite-plug…) and interfaces between the EDZ and these materials. Such a result could have significant consequences on the performance of a repository, due to the accumulation of gas in the drift network and high increase of gas pressure, which could lead to the host rock hydraulic fracturing.
Terahertz bistatic three-dimensional computational imaging of hidden objects through random media
Authors: Yu Quanchun , Cai He , Zhu Xianli , Liu Zihao , Yin Hongcheng , Li Liangsheng 
Published: March 2024

AbstractRandom media pose limitations on the imaging capability of photoelectric detection devices. Currently, imaging techniques employed through random media primarily operate within the laser wavelength range, leaving the imaging potential of terahertz waves unexplored. In this study, we present an approach for terahertz bistatic three-dimensional imaging (TBTCI) of hidden objects through random media. By deducing the field distribution of bistatic terahertz time-domain spectroscopy system, and proposing an explicit point spread function of the random media, we conducted three-dimensional imaging of hidden objects obscured by the random media. Our proposed method exhibits promising applications in imaging scenarios with millimeter-wave radar, including non-invasive testing and biological imaging.
The effect of myeloablative radiation on urinary bladder mast cells
Authors: Smith Jessica , Tan Jonathan Kah Huat , Short Christie , O’Neill Helen , Moro Christian 
Published: March 2024

AbstractRadiation-induced cystitis is an inflammatory condition affecting the urinary bladder, which can develop as a side effect of abdominopelvic radiotherapy, specifically external-beam radiation therapy or myeloablative radiotherapy. A possible involvement of mast cells in the pathophysiology of radiation-induced cystitis has been indicated in cases of external-beam radiation therapy; however, there is no evidence that these findings apply to the myeloablative aetiology. As such, this study investigated potential changes to urinary bladder mast cell prevalence when exposed to myeloablative radiation. Lethally irradiated C57BL/6J mice that received donor rescue bone marrow cells exhibited an increased mast cell frequency amongst host leukocytes 1 week following irradiation. By 4 weeks, no significant difference in either frequency or cell density was observed. However mast cell diameter was smaller, and a significant increase in mast cell number in the adventitia was observed. This study highlights that mast cells constitute a significant portion of the remaining host leukocyte population following radiation exposure, with changes to mast cell distribution and decreased cell diameter four weeks following radiation-induced injury.
Effect of weight loss before in vitro fertilization in women with obesity or overweight and infertility: a systematic review and meta-analysis
Authors: Jeong Hye Gyeong , Cho Sumin , Ryu Ki-Jin , Kim Tak , Park Hyuntae 
Published: March 2024

AbstractThe effect of weight loss before in vitro fertilization (IVF) procedures on pregnancy outcomes in women with overweight or obesity and infertility remains controversial. In this systematic review and meta-analysis, we investigated whether weight loss before IVF in these women affected the IVF results and reproductive outcomes. PubMed, Embase, and the Cochrane Library databases were searched from the inception dates until December 2022, using combinations of relevant keywords. Only six randomized controlled trials, including 1627 women with obesity or overweight, were analyzed. The weight change in the intensive care group, compared to the control group who underwent IVF without weight loss was – 4.62 kg (mean difference; 95% confidence interval [CI] − 8.10, − 1.14). Weight loss before IVF did not significantly increase the live birth rate in women with obesity or overweight and infertility (odds ratio, 1.38; 95% CI 0.88, 2.10). The clinical pregnancy, miscarriage, ongoing pregnancy, and ectopic pregnancy rates did not differ between the weight loss and control groups before IVF. This meta-analysis demonstrated that even significant weight loss before IVF in women with obesity or overweight and infertility did not improve the live birth, clinical pregnancy, ongoing pregnancy, or ectopic pregnancy rates. PROSPERO Registration Number: CRD42023455800.
Open field hardening improves leaf physiological drought tolerance in young plants of Sindora siamensis
Authors: Paethaisong Warunya , Lakhunthod Preeyanuch , Santanoo Supranee , Chandarak Natthamon , Onwan Sujittra , Kaewjampa Naruemol , Dongsansuk Anoma 
Published: March 2024

The effect of drought stress on leaf physiology was studied in 10-month-old plants of Sindora siamensis. Plants were either placed in an open greenhouse (unhardening; UH) or in an open field (open field hardening; H) for 45 days. Both the UH and H plants stopped receiving water (D) until the initial drought injury and then rewatered (R) until complete recovery. Results showed necrosis in the leaves of UH + D, while H + D showed wilting at Day 7 after drought. A greater degree of necrosis was found in UH + D + R but made complete recovery in H + D + R at Day 4 after rewatering. Drought stress resulted in decreased leaf area in H, and reduced leaf and stem water status, PSII efficiency, net photosynthetic rate, stomatal conductance and transpiration rate in both UH and H. It also resulted in an increase in water use efficiency in both UH and H. Electrolyte leakage and malondialdehyde contents in UH were markedly increased due to drought stress. These results suggest that unhardened young plants of Sindora exposed to drought exhibited enhanced stomata behaviour by minimising open stomata and transpiration, resulting in high efficiency of water usage. However, there was still membrane damage from lipid peroxidation, which caused necrosis. Open field hardened plants exposed to drought demonstrated reduced open stomata and transpiration, thereby preserving leaf and soil water status and enhancing water use efficiency. This may be a reduction in lipid peroxidation though an oxidative scavenging mechanism that causes a slight alteration in membrane stability and a slight necrosis.
Agroecological transition: towards a better understanding of the impact of ecology-based farming practices on soil microbial ecotoxicology
Authors: Vermeire Marie-Liesse , Thiour-Mauprivez Clémence , De Clerck Caroline 
Published: March 2024

Abstract
Alternative farming systems have developed since the beginning of industrial agriculture. Organic, biodynamic, conservation farming, agroecology and permaculture, all share a grounding in ecological concepts and a belief that farmers should work with nature rather than damage it. As ecology-based agricultures rely greatly on soil organisms to perform the functions necessary for agricultural production, it is thus important to evaluate the performance of these systems through the lens of soil organisms, especially soil microbes. They provide numerous services to plants, including growth promotion, nutrient supply, tolerance to environmental stresses and protection against pathogens. An overwhelming majority of studies confirm that ecology-based agricultures are beneficial for soil microorganisms. However, three practices were identified as posing potential ecotoxicological risks: the recycling of organic waste products, plastic mulching, and pest and disease management with biopesticides. The first two because they can be a source of contaminants; the third because of potential impacts on non-target microorganisms. Consequently, developing strategies to allow a safe recycling of the increasingly growing organic matter stocks produced in cities and factories, and the assessment of the ecotoxicological impact of biopesticides on non-target soil microorganisms, represent two challenges that ecology-based agricultural systems will have to face in the future.
Fuzzy controller system utilization to increase the hydrogen production bioreactor capacity: toward sustainability and low carbon technology
Authors: Kuterbekov Kairat A , Bekmyrza Kenzhebatyr Zh , Kabyshev Asset M , Kubenova Marzhan M , Shokatian-Beiragh Mehrdad 
Published: March 2024

Abstract
The utilization of bio-hydrogen as a fuel source holds immense promise as a renewable energy option, offering compelling economic and environmental advantages. This study investigates the economic and environmental advantages of bio-hydrogen as a renewable energy source compared to fossil fuels, focusing on the reduction of greenhouse gas emissions such as carbon dioxide and carbon monoxide. The enhancement of anaerobic hydrogen production reactor capacity is explored through the application of a fuzzy controller system. Numerical simulations demonstrate that the fuzzy controller outperforms other methods in augmenting biological hydrogen production, effectively addressing the inherent non-linear characteristics of the system. In contrast, limitations in robustness against system uncertainty are observed with the non-linear controller. Exceptional tracking of desired values by the fuzzy controller, even in the presence of model uncertainty, results in a lower integral of time multiplied by squared error (ITSE) performance index compared to non-linear and proportional–integral controllers. Emphasizing the viability of the fuzzy method for regulating hydrogen production processes, potential gains of up to 95% in biological hydrogen production are indicated compared to open-loop configurations. This clean-burning fuel holds promise for industrial applications, contributing to the reduction of harmful gas emissions. The findings underscore the transformative potential of the fuzzy controller system in advancing sustainable hydrogen production and its significant role in addressing environmental concerns.
Significant association of HLA-A26 with uveitis and gastrointestinal involvement in patients with Behçet’s disease in a multicentre study
Authors: Nakajima Tomoya , Tsuji Hideaki , Inaba Ryuta , Saito Rintaro , Nishimura Keisuke , Morinobu Akio 
Published: March 2024

ABSTRACT

Objectives
Specific human leukocyte antigen (HLA) haplotypes are associated with Behçet’s disease. Because the effects of HLA-A26 and its combination with HLA-B51 on organ involvement in Behçet’s disease have not been well demonstrated, we aimed to examine them.

Methods
This multicentre, cross-sectional, observational study enrolled patients with Behçet’s disease who visited Kyoto University Hospital between 2018 and 2021 or Kurashiki Central Hospital between 2006 and 2016 (n = 200). Disease severity was evaluated using the Krause score.

Results
Uveitis and gastrointestinal involvement were observed in 95/196 and 57/167 patients, respectively. The HLA alleles identified were HLA-B51 (n = 52/106), HLA-A26 (n = 25/88), and HLA-B51 and HLA-A26 (n = 6/88). In patients harbouring HLA-B51, the presence of HLA-A26 was associated with higher frequencies of uveitis (P = .03) and coexistence of uveitis and gastrointestinal involvement (P = .002) and higher Krause scores (P = .02). Furthermore, the presence of HLA-A26 was associated with a higher frequency of uveitis in patients with gastrointestinal involvement (P = .001) and gastrointestinal involvement in patients with uveitis (P = .001).

Conclusions
Since specific HLA haplotypes and their combinations are associated with organ involvement, both HLA-A and HLA-B haplotypes should be confirmed when screening for affected organs.