bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Extreme Heat and Outpatient Visits for Mental Disorders: A Time‐Series Analysis in Guangzhou, China
Authors: Zhang Hui , Li Xuezhu , Wang Siyue , Wu Tao , Yang Xinyi , Wang Ningfeng , Huang Lifeng , Feng Zhilang , He Zitong , Wang Qiong , Ling Li , Zhou Wensu 
Published: October 2024

AbstractPrevious evidence on heatwaves’ impact on mental health outpatient visits is limited, especially uncertainty on how different heatwave definitions affect this relationship. In this time‐series study, we assessed the association between heatwaves and outpatient visits for mental disorders in Guangzhou, China. Daily outpatient visits for mental disorders and its specific categories (schizophrenia, mood, and neurotic disorders) were sourced from the Urban Resident‐based Basic Medical Insurance (URBMI) and the Urban Employee‐based Basic Medical Insurance (UEBMI) claims databases in Guangzhou from 2010 to 2014. The study employed nine heatwave definitions, based on combinations of three daily mean temperature thresholds (90th, 92.5th, and 95th percentiles) and durations (2, 3, and 4 days). Using quasi‐Poisson generalized linear models (GLMs), we estimated the risks (at lag 0 day) and cumulative effects (lag 0–10 days) of heatwaves on mental disorder outpatient visits. Age, gender, types of medical insurance were considered as potential effect modifiers. We observed a positive association between heatwaves and increased total outpatient visits for mental disorders, both at lag 0 day and during lag 0–10 days. The impact of heatwave was significant at lag 0 day for schizophrenia, mood and neurotic disorders visits, it remained significant for neurotic and mood disorders visits during lag 0–10 days. Heatwave durations lasting more than 4 days were associated with higher relative risks of mental disorders at lag 0 day. Older adults had relatively higher effect estimations than younger individuals. This research highlights the effects of extreme heat on mental health.
Miniaturized on-chip spectrometer enabled by electrochromic modulation
Authors: Tian Menghan , Liu Baolei , Lu Zelin , Wang Yao , Zheng Ze , Song Jiaqi , Zhong Xiaolan , Wang Fan 
Published: September 2024

AbstractMiniaturized on-chip spectrometers with small footprints, lightweight, and low cost are in great demand for portable optical sensing, lab-on-chip systems, and so on. Such miniaturized spectrometers are usually based on engineered spectral response units and then reconstruct unknown spectra with algorithms. However, due to the limited footprints of computational on-chip spectrometers, the recovered spectral resolution is limited by the number of integrated spectral response units/filters. Thus, it is challenging to improve the spectral resolution without increasing the number of used filters. Here we present a computational on-chip spectrometer using electrochromic filter-based computational spectral units that can be electrochemically modulated to increase the efficient sampling number for higher spectral resolution. These filters are directly integrated on top of the photodetector pixels, and the spectral modulation of the filters results from redox reactions during the dual injection of ions and electrons into the electrochromic material. We experimentally demonstrate that the spectral resolution of the proposed spectrometer can be effectively improved as the number of applied voltages increases. The average difference of the peak wavelengths between the reconstructed and the reference spectra decreases from 1.61 nm to 0.29 nm. We also demonstrate the proposed spectrometer can be worked with only four or two filter units, assisted by electrochromic modulation. In addition, we also demonstrate that the electrochromic filter can be easily adapted for hyperspectral imaging, due to its uniform transparency. This strategy suggests a new way to enhance the performance of miniaturized spectrometers with tunable spectral filters for high resolution, low-cost, and portable spectral sensing, and would also inspire the exploration of other stimulus responses such as photochromic and force-chromic, etc, on computational spectrometers.
Picotesla-sensitivity microcavity optomechanical magnetometry
Authors: Hu Zhi-Gang , Gao Yi-Meng , Liu Jian-Fei , Yang Hao , Wang Min , Lei Yuechen , Zhou Xin , Li Jincheng , Cao Xuening , Liang Jinjing , Hu Chao-Qun , Li Zhilin , Lau Yong-Chang , Cai Jian-Wang , Li Bei-Bei 
Published: September 2024

AbstractCavity optomechanical systems have enabled precision sensing of magnetic fields, by leveraging the optical resonance-enhanced readout and mechanical resonance-enhanced response. Previous studies have successfully achieved mass-produced and reproducible microcavity optomechanical magnetometry (MCOM) by incorporating Terfenol-D thin films into high-quality (Q) factor whispering gallery mode (WGM) microcavities. However, the sensitivity was limited to 585 pT Hz−1/2, over 20 times inferior to those using Terfenol-D particles. In this work, we propose and demonstrate a high-sensitivity and mass-produced MCOM approach by sputtering a FeGaB thin film onto a high-Q SiO2 WGM microdisk. Theoretical studies are conducted to explore the magnetic actuation constant and noise-limited sensitivity by varying the parameters of the FeGaB film and SiO2 microdisk. Multiple magnetometers with different radii are fabricated and characterized. By utilizing a microdisk with a radius of 355 μm and a thickness of 1 μm, along with a FeGaB film with a radius of 330 μm and a thickness of 1.3 μm, we have achieved a remarkable peak sensitivity of 1.68 pT Hz−1/2 at 9.52 MHz. This represents a significant improvement of over two orders of magnitude compared with previous studies employing sputtered Terfenol-D film. Notably, the magnetometer operates without a bias magnetic field, thanks to the remarkable soft magnetic properties of the FeGaB film. Furthermore, as a proof of concept, we have demonstrated the real-time measurement of a pulsed magnetic field simulating the corona current in a high-voltage transmission line using our developed magnetometer. These high-sensitivity magnetometers hold great potential for various applications, such as magnetic induction tomography and corona current monitoring.
The miRNA and PD-1/PD-L1 signaling axis: an arsenal of immunotherapeutic targets against lung cancer
Authors: Yadav Ritu , Khatkar Rinku , Yap Kenneth C-H , Kang Chloe Yun-Hui , Lyu Juncheng , Singh Rahul Kumar , Mandal Surojit , Mohanta Adrija , Lam Hiu Yan , Okina Elena , Kumar Rajiv Ranjan , Uttam Vivek , Sharma Uttam , Jain Manju , Prakash Hridayesh , Tuli Hardeep Singh , Kumar Alan Prem , Jain Aklank 
Published: September 2024

AbstractLung cancer is a severe challenge to the health care system with intrinsic resistance to first and second-line chemo/radiotherapies. In view of the sterile environment of lung cancer, several immunotherapeutic drugs including nivolumab, pembrolizumab, atezolizumab, and durvalumab are currently being used in clinics globally with the intention of releasing exhausted T-cells back against refractory tumor cells. Immunotherapies have a limited response rate and may cause immune-related adverse events (irAEs) in some patients. Hence, a deeper understanding of regulating immune checkpoint interactions could significantly enhance lung cancer treatments. In this review, we explore the role of miRNAs in modulating immunogenic responses against tumors. We discuss various aspects of how manipulating these checkpoints can bias the immune system’s response against lung cancer. Specifically, we examine how altering the miRNA profile can impact the activity of various immune checkpoint inhibitors, focusing on the PD-1/PD-L1 pathway within the complex landscape of lung cancer. We believe that a clear understanding of the host’s miRNA profile can influence the efficacy of checkpoint inhibitors and significantly contribute to existing immunotherapies for lung cancer patients. Additionally, we discuss ongoing clinical trials involving immunotherapeutic drugs, both as standalone treatments and in combination with other therapies, intending to advance the development of immunotherapy for lung cancer.
Increased frequency of repeat expansion mutations across different populations
Authors: Ibañez Kristina , Jadhav Bharati , Zanovello Matteo , Gagliardi Delia , Clarkson Christopher , Facchini Stefano , Garg Paras , Martin-Trujillo Alejandro , Gies Scott J. , Galassi Deforie Valentina , Dalmia Anupriya , Hensman Moss Davina J. , Vandrovcova Jana , Rocca Clarissa , Moutsianas Loukas , Marini-Bettolo Chiara , Walker Helen , Turner Chris , Shoai Maryam , Long Jeffrey D. , Fratta Pietro , Langbehn Douglas R. , Tabrizi Sarah J. , Caulfield Mark J. , Cortese Andrea , Escott-Price Valentina , Hardy John , Houlden Henry , Sharp Andrew J. , Tucci Arianna 
Published: October 2024

AbstractRepeat expansion disorders (REDs) are a devastating group of predominantly neurological diseases. Together they are common, affecting 1 in 3,000 people worldwide with population-specific differences. However, prevalence estimates of REDs are hampered by heterogeneous clinical presentation, variable geographic distributions and technological limitations leading to underascertainment. Here, leveraging whole-genome sequencing data from 82,176 individuals from different populations, we found an overall disease allele frequency of REDs of 1 in 283 individuals. Modeling disease prevalence using genetic data, age at onset and survival, we show that the expected number of people with REDs would be two to three times higher than currently reported figures, indicating underdiagnosis and/or incomplete penetrance. While some REDs are population specific, for example, Huntington disease-like 2 in Africans, most REDs are represented in all broad genetic ancestries (that is, Europeans, Africans, Americans, East Asians and South Asians), challenging the notion that some REDs are found only in specific populations. These results have worldwide implications for local and global health communities in the diagnosis and counseling of REDs.
Co-occurrence of unhealthy lifestyle behaviours in middle-aged adults: findings from the Swedish CArdioPulmonary bioImage Study (SCAPIS)
Authors: Klompstra Leonie , Löf Marie , Björkelund Cecilia , Hellenius Mai-Lis , Kallings Lena V. , Orho-Melander Marju , Wennberg Patrik , Bendtsen Preben , Bendtsen Marcus 
Published: October 2024

AbstractMiddle-aged adults engaging in unhealthy lifestyle behaviors are at higher risk of chronic diseases. However, little is known about the co-occurrence of these behaviors and their determinants. This cohort study examined the co-occurrence of unhealthy lifestyle behaviors (alcohol consumption, diet, physical inactivity, and smoking) in 30,154 middle-aged adults and their associations with sociodemographic factors, social support, and disease history. Alcohol use was measured by the AUDIT, diet by the MiniMeal-Q, and physical inactivity and smoking by single questions. Participants had a mean age of 58 years, with 51% being female. Of them, 14% had no unhealthy behaviors, 38% had one, 36% had two, 10% had three, and 2% had all four. The most common co-occurrence was between physical inactivity and poor diet (38%). Higher education decreased the likelihood of having three or four unhealthy behaviors, while financial difficulties, having no one around who appreciated one’s efforts, and suffering of a lung disease increased it. In conclusion, middle-aged adults exhibit varying levels of unhealthy lifestyle behaviors. Higher education is linked to reduced engagement in multiple unhealthy behaviors, whereas financial strain, lower quality of social support, and lung disease increase the risk.
Ameliorating effects of natural herbal supplements against water-borne induced toxicity of heavy metals on Nile tilapia, (Oreochromis niloticus)
Authors: Fatima Arzoo , Makhdoom Hussain Syed , Ali Shafaqat , Rizwan Muhammad , Al-Ghanim Khalid A. , Yong Jean Wan Hong 
Published: September 2024

AbstractThe efficacy of herbal supplements in mitigating heavy metals (HMs) toxicity was investigated using a widely grown fish, the Nile tilapia (Oreochromis niloticus). The experiment was conducted over two phases: during the stress phase, the experimental fishes were exposed to sub-lethal concentrations of HMs, including lead, cadmium, zinc, and copper for 15 days; following which during the feeding phase, herbal supplements were given for 70 days to ameliorate their effects. Seven groups were established: the control negative group (CON−ve), control positive group (CON+ve, without any treatment), and five groups with supplementation of 1% turmeric (TUR), cinnamon (CIN), ginger (GIN), garlic (GAR), and their mixture (MIX), respectively. A total of 315 fishes were distributed evenly in experimental tanks (15 fishes per tank, in triplicates). The results revealed that exposure to HMs led to significant (p < 0.05) alterations in all the tested parameters, i.e., liver damage and growth reduction. The herbal supplements, especially the MIX groups, ameliorated the harmful effects of HMs and restored fish growth, digestibility, carcass composition, and liver health. In conclusion, the study demonstrated that the herbal supplements were effective in reducing the HMs-linked toxicity in Nile tilapia. Future studies pertaining to the mechanisms facilitated by the various herbal bioactive substances-linked tolerance to HMs in fishes are warranted.
Visual MODFLOW, solute transport modeling, and remote sensing techniques for adapting aquifer potentiality under reclamation and climate change impacts in coastal aquifer
Authors: Abd El Ghany Moaz M. , El-Hadidy Shaimaa M. , Sakr Sameh A. , Korany Ezzat A. , Morsy Samah M. 
Published: October 2024

AbstractGlobal environmental changes, such as climate change and reclamation alterations, significantly influence hydrological processes, leading to hydrologic nonstationarity and challenges in managing water availability and distribution. This study introduces a conceptual underpinning for the rational development and sustainability of groundwater resources. As one of the areas intended for the development projects within the Egyptian national plan for the reclamation of one and a half million acres; hundreds of pumping wells were constructed in the Moghra area to fulfill the reclamation demand. This study investigates the long-term impacts of exploiting the drilled pumping wells under climate change. The approach is to monitor the groundwater levels and the salinity values in the Moghra aquifer with various operational strategies and present proposed sustainable development scenarios. The impact of global warming and climate change is estimated for a prediction period of 30 years by using satellite data, time series geographical analysis, and statistical modeling. Using MODFLOW and Solute Transport (MT3DMS) modules of Visual MODFLOW USGS 2005 software, a three-dimensional (3D) finite-difference model is created to simulate groundwater flow and salinity distribution in the Moghra aquifer with the input of forecast downscaling (2020–2050) of main climatic parameters (PPT, ET, and Temp). The optimal adaptation-integrated scenario to cope with long-term groundwater withdrawal and climate change impacts is achieved when the Ministry of Irrigation and Water Resources (MWRI) recommends that the maximum drawdown shouldn’t be more significant than 1.0 m/ year. In this scenario, 1,500 pumping wells are distributed with an equal space of 500 m, a pumping rate of 1,200 m3/day and input the forecast of the most significant climatic parameters after 30 years. The output results of this scenario revealed a drawdown level of 42 m and a groundwater salinity value of 16,000 mg/l. Climate change has an evident impact on groundwater quantity and quality, particularly in the unconfined coastal aquifer, which is vulnerable to saltwater intrusion and pollution of drinking water resources. The relationship between climate change and the hydrologic cycle is crucial for predicting future water availability and addressing water-related issues.
A scenario for heart failure during the filling phase
Authors: Pedrizzetti Gianni , Numata Ryusuke , Collia Dario , Pedrizzetti Giulia , Zovatto Luigino , Banerjee Anirban 
Published: October 2024

AbstractHeart failure (HF) is a life-threating cardiac disease that develops progressively for the reduced ability of the left ventricle (LV) to pump blood into the circulation during systole. HF can also develop in patients with a preserved systolic function, typically in presence of hypertrophic cardiomyopathy (HCM). This type of HF is sometimes termed as diastolic HF, but its biomechanical origin is still unclear. This study employs a physics-based analysis of both the LV and left atrium (LA) in selected HCM patients and matched healthy subjects using 3D echocardiography and demonstrates that alteration on the LV side (stiffening) reduces the elastic recovery of the LA. Moreover, the analysis of the forces exchanged between the two chambers demonstrates that they result unbalanced, keeping the LA in a sustained stretched condition that leads to dilation. This scenario clarifies the diastolic root of the dysfunction that may likely be the cause of the spiraling of events progressing toward failure of both LA emptying and LV filling. This deeply interdisciplinary study provides a physics-based basis for both physics/engineering modeling of heart function and to cardiologists for the design of clinical studies.
Bilingual phrase induction with local hard negative sampling
Authors: Cao Hailong , Miao Hualin , Wang Weixuan , Li Liangyou , Peng Wei , Zhao Tiejun 
Published: October 2024

AbstractBilingual lexicon induction focuses on learning word translation pairs, also known as bitexts, from monolingual corpora by establishing a mapping between the source and target embedding spaces. Despite recent advancements, bilingual lexicon induction is limited to inducing bitexts consisting of individual words, lacking the ability to handle semantics‐rich phrases. To bridge this gap and support downstream cross‐lingual tasks, it is practical to develop a method for bilingual phrase induction that extracts bilingual phrase pairs from monolingual corpora without relying on cross‐lingual knowledge. In this paper, the authors propose a novel phrase embedding training method based on the skip‐gram structure. Specifically, a local hard negative sampling strategy that utilises negative samples of central tokens in sliding windows to enhance phrase embedding learning is introduced. The proposed method achieves competitive or superior performance compared to baseline approaches, with exceptional results recorded for distant languages. Additionally, we develop a phrase representation learning method that leverages multilingual pre‐trained language models. These mPLMs‐based representations can be combined with the above‐mentioned static phrase embeddings to further improve the accuracy of the bilingual phrase induction task. We manually construct a dataset of bilingual phrase pairs and integrate it with MUSE to facilitate the bilingual phrase induction task.
Real‐time semantic segmentation network for crops and weeds based on multi‐branch structure
Authors: Liu Yufan , Liu Muhua , Zhao Xuhui , Zhu Junlong , Wang Lin , Ma Hao , Zhang Mingchuan 
Published: October 2024

AbstractWeed recognition is an inevitable problem in smart agriculture, and to realise efficient weed recognition, complex background, insufficient feature information, varying target sizes and overlapping crops and weeds are the main problems to be solved. To address these problems, the authors propose a real‐time semantic segmentation network based on a multi‐branch structure for recognising crops and weeds. First, a new backbone network for capturing feature information between crops and weeds of different sizes is constructed. Second, the authors propose a weight refinement fusion (WRF) module to enhance the feature extraction ability of crops and weeds and reduce the interference caused by the complex background. Finally, a Semantic Guided Fusion is devised to enhance the interaction of information between crops and weeds and reduce the interference caused by overlapping goals. The experimental results demonstrate that the proposed network can balance speed and accuracy. Specifically, the 0.713 Mean IoU (MIoU), 0.802 MIoU, 0.746 MIoU and 0.906 MIoU can be achieved on the sugar beet (BoniRob) dataset, synthetic BoniRob dataset, CWFID dataset and self‐labelled wheat dataset, respectively.
Energy management of hybrid AC/DC microgrid considering incentive‐based demand response program
Authors: Duc Tung Trieu , Tuan Anh Nguyen , Duc Tuyen Nguyen , Takano Hirotaka 
Published: October 2024

AbstractIncreasing the use of renewable energy in microgrids (MGs) offers environmental and economic benefits. However, the unpredictable and intermittent nature of available resources poses challenges for optimal MG scheduling. Hybrid AC–DC microgrids provide a solution, seamlessly integrating renewables while reducing energy losses and improving power grid reliability. Additionally, incentive‐based demand response programs promote flexible energy consumption, further mitigating the variability of renewable generation and enhancing grid stability. This paper investigates the challenges and potential of high renewable penetration in hybrid AC–DC MGs, analysing the role of demand response programs in system optimization. The microgrid's energy management is modelled using MILP, while a Stackelberg game represents the demand response program. These models are integrated to optimize energy management and demand response jointly. Simulations demonstrate the cost‐saving benefits of this integrated framework, achieved through coordinated flexible resource scheduling and incentive‐based demand response programming.
Endometrial Cancer – Long-Term Survival in Certified Cancer Centers and Non-Certified Hospitals
Authors: Hansinger Judith , Völkel Vinzenz , Gerken Michael , Schoffer Olaf , Wimberger Pauline , Bierbaum Veronika , Bobeth Christoph , Rößler Martin , Dröge Patrik , Ruhnke Thomas , Günster Christian , Tol Kees Kleihues-van , Link Theresa , Kast Karin , Papathemelis Thomas , Ortmann Olaf , Schmitt Jochen , Klinkhammer-Schalke Monika 
Published: October 2024

Abstract
Introduction Endometrial cancer is the most common malignant tumor of the female genital organs. In Germany, treatment is provided in both cancer centers certified by the German Cancer Society (Deutsche Krebsgesellschaft, DKG) and in non-certified hospitals. This study investigated whether treatment in DKG-certified centers leads to improved overall survival of patients with endometrial cancer.
Materials and Methods Data from 11 legally independent German statutory health insurance (SHI) funds of the AOK were analyzed as well as data from four clinical cancer registries (CCR), resulting in inclusion of 30 102 AOK patients and 8190 registry patients with a diagnosis (incidental cases) of ICD-10-GM code C54 (malignant neoplasm of corpus uteri). For comparative survival analyses, multivariable Cox regressions and Kaplan–Meier analyses were used.
Results The Kaplan–Meier estimator for 5-year overall survival was 66.7% for patients from certified centers and 65.0% for patients from non-certified hospitals (using SHI data; CCR data: 63.4% vs. 60.7%). Cox regression adjusted for relevant confounders showed a hazard ratio (HR) of 0.93 (SHI data; 95% CI 0.86 – 1.00; p = 0.050) and 0.935 (CCR data; 95% CI 0.827 – 1.057; p = 0.281) for all-cause mortality. In a subgroup analysis (CCR), patients with International Union against Cancer Control (UICC) stage I had a significant survival benefit if treated in a certified center (HR 0.783; 95% CI 0.620 – 0.987; p = 0.038).
Conclusion The study presented herein shows that patients with endometrial cancer treated in a certified cancer center tend to have better survival rates. This should be considered when selecting the treating hospital.